Miracle-dz/UniFAR-FTUs huggingface dataset:
An Agent-Based Simulation Model for Testing Novel Obesity Interventions in School Environment Design

Studying the impact of built-environment changes on human behavior and health is empirically challenging. To overcome this challenge, there has been increasing recognition of the usefulness of systems’ approaches for scenario testing to understand and prioritize such public health interventions. Limited research has shown a potential effect on the positive energy expenditure as a result of the use of dynamic furniture that promotes micromovement among school children. In this article, we aim to determine, via experiments in simulated populations of elementary school students, whether the use of dynamic furniture in the school environment has an impact on the childhood obesity over time. An agent-based model is developed to simulate three physical activity (PA) profiles over a period of six years with and without the dynamic furniture. Based on the prevalence trends from the experiments, there is no apparent impact of dynamic furniture use among boys, regardless of activity profile category. However, there are some pieces of evidence of differing trends among girls with a low PA profile. Although the intervention produces a marginal change in obesity prevalence in one population, the dynamic furniture is not a sole solution to the obesity epidemic. However, the use of dynamic furniture in schools may be a worthwhile component of prevention interventions.
Genetic Variability in Slovenian Cohort of Patients with Oculocutaneous Albinism

Oculocutaneous albinism (OCA) is an inherited disorder affecting the visual system and skin pigmentation. Our aim was to evaluate genetic and clinical heterogeneity in a cohort of Slovenian paediatric patients with clinically suspected OCA using advanced molecular-genetics approach. In as much as 20 out of 25 patients, genetic variants explaining their clinical phenotype were identified. The great majority of patients (15/25) had genetic variants in TYR gene associated with OCA type 1, followed by variants in TYRP1, SLC45A2 and HPS1 genes causative for OCA3, OCA4 and Hermansky-Pudlak syndrome type 1, respectively. We concluded that OCA phenotype could not predict genotype and vice versa. Nevertheless, the diagnostic yield after targeted next generation sequencing (NGS) was 80% and proved to be affective in our paediatric cohort of patients with various degree of OCA. Even in 16 patients with normal complexion the diagnostic yield was 62,5%. Interestingly, we have identified a patient of white European ancestry with OCA3, which is an extremely rare report, and one patient with OCA due to the Hermansky-Pudlak syndrome type 1.
On the use of leading safety indicators in maritime and their feasibility for Maritime Autonomous Surface Ships

Although the safety of prospective Maritime Autonomous Surface Ships will largely depend on their ability to detect potential hazards and react to them, the contemporary scientific literature lacks the analysis of how to achieve this. This could be achieved through an application of leading safety indicators. The aim of the performed study was to identify the research directions of leading safety indicators in three safety-critical operational aspects of Maritime Autonomous Surface Ships: collision avoidance, intact stability, and communication. To achieve this, literature review is performed, taking into account scientific documents including journal and conference papers. The results indicate that the need for establishing operational leading safety indicators is recognized by numerous scholars, who sometimes make suggestions of what the set of indicators shall consist of. Some leading safety indicators for autonomous vessels are readily identifiable in the scientific literature and used in current practice. However, the research effort is lacking a holistic approach to the issue.
Pengaruh Profitabilitas, Ukuran Perusahaan, Dan Good Corporate Governance Terhadap Pengungkapan Corporate Sosial Responsibilty Dan Dampaknya Terhadap Abnormal Return Pada Perusahaan LQ45

This study examines the effect of Profitability, Company Size, GCG on CSR disclosure and its impact on abnormal returns. The purpose of this study was to analyze the effect of Profitability, Company Size, GCG on abnormal returns and the indirect effect on CSR disclosure. The sample in this study was the LQ-45 company listed on the IDX in 2020. Data analysis used Path Analysis. The results of the path analysis study have directly shown that profitability, company size, GCG has a significant effect on CSRD with sig results less than 0.05. Meanwhile, the results of research using path analysis indirectly show that CSR disclosure is not able to strengthen the relationship between profitability, company size, GCG on abnormal returns.
Reverse-Safe Text Indexing

We introduce the notion of reverse-safe data structures. These are data structures that prevent the reconstruction of the data they encode (i.e., they cannot be easily reversed). A data structure D is called z-reverse-safe when there exist at least z datasets with the same set of answers as the ones stored by D. The main challenge is to ensure that D stores as many answers to useful queries as possible, is constructed efficiently, and has size close to the size of the original dataset it encodes. Given a text of length n and an integer z, we propose an algorithm that constructs a z-reverse-safe data structure (z-RSDS) that has size O(n) and answers decision and counting pattern matching queries of length at most d optimally, where d is maximal for any such z-RSDS. The construction algorithm takes O(nɷ log d) time, where ɷ is the matrix multiplication exponent. We show that, despite the nɷ factor, our engineered implementation takes only a few minutes to finish for million-letter texts. We also show that plugging our method in data analysis applications gives insignificant or no data utility loss. Furthermore, we show how our technique can be extended to support applications under realistic adversary models. Finally, we show a z-RSDS for decision pattern matching queries, whose size can be sublinear in n. A preliminary version of this article appeared in ALENEX 2020.
Synthesis of Indoline-2,3-diones by Radical Coupling of Indolin-2-ones with tert-Butyl Hydroperoxide

Abstract A novel strategy has been developed for the synthesis of indoline-2,3-diones through a metal-free radical-coupling reaction. Alkyl radicals derived from indolin-2-ones through a radical-transfer reaction combine with the tert-butylhydroperoxy radical readily generated from commercially available tert-butyl hydroperoxide to afford 3-(tert-butylperoxy)indolin-2-one intermediates that can be further transformed into indoline-2,3-diones under air. This strategy provides a simple and eﬃcient route to the construction of a C=O bond without the use of any metal catalyst or base.
Better Game Worlds by Design: The GAS Framework for Designing and Analyzing Games Based on Socio-Ecological Systems Thinking, Demonstrated on Nusfjord (2017)

The goal of this article is to propose Game World Design and Analysis for Socio-Ecological Systems (GAS), a framework for the design and analysis of game worlds through socio-ecological systems lenses. Game World Design and Analysis for Socio-Ecological Systems invites designers to a structured reflection of their choices regarding game world correspondence with a real or fictional reference system (assessed through accuracy, comprehensiveness, and balance) and game world consistency. The framework spells out the main elements to be included in the game world for that to be a credible socio-ecological system. The GAS framework is demonstrated on Nusfjord (2017) as an exemplar of natural resource management–themed analog game. The framework is built using an interdisciplinary approach to game studies, history, media and literary studies, and natural resource management research. The application of the framework has the potential of making the design and analysis of game worlds more relevant to the sustainability discourse of the 21st Century.
Pt-Modulated CuMnOx Nanosheets as Catalysts for Toluene Oxidation

Controllable ternary Pt–Cu–Mn lamellar oxides with different amounts of Pt were synthesized using a facile and expeditious self-propagating flaming technique for catalytic oxidation of toluene. The surface structure, composition, and structure–performance relationship were investigated by combining X-ray diffraction (XRD), Brunauer–Emmett–Teller (BET) surface area, scanning electron microscopy (SEM), transmission electron microscopy (TEM), hydrogen temperature-programmed reduction (H2-TPR), and X-ray photoelectron spectroscopy (XPS). The catalytic performance of the as-produced catalysts toward the catalytic oxidation of toluene was investigated. Among the catalysts, the 0.5Pt-MnCu catalyst has shown 90% toluene removal at 228 °C with excellent cyclic stability, which is a significant achievement for MnCu binary nanosheet-like catalysts containing low amounts of Pt (0.5 wt %). This study has also inferred the degradation activity of modulated MnCu composite catalysts, which greatly hinges on the doping level of Pt. The lattice oxygen species are dominating according to the Mn–O bond strength, local environment, and reducibility. Moreover, Pt can increase the covalency of surface metal–oxygen bonds and electron affinity of surface metal-coordinated oxygen centers, thereby expediting the adsorption/activation of the gaseous oxygen molecules on oxide surfaces, which can step up the lattice oxygen as well as oxygen vacancy-involved reactions to invoke the Mars–van Krevelen and Langmuir–Hinshelwood mechanisms for boosting the overall toluene oxidation performance of PtCuMnOx catalytic materials. Based on the obtained results, this study proposes a vital insight into manipulating the nanoscale catalytic functions, which could also promise pivotal potential toward engineering the state-of-the-art transition-metal nanostructure for environmental catalysis.
Microcontroller Implementation, Chaos Control, Synchronization and Antisynchronization of Josephson Junction Model

The microcontroller implementation, chaos control, synchronization, and antisynchronization of the nonlinear resistive-capacitive-inductive shunted Josephson junction (NRCISJJ) model are reported in this paper. The dynamical behavior of the NRCISJJ model is performed using phase portraits, and time series. The numerical simulation results reveal that the NRCISJJ model exhibits different shapes of hidden chaotic attractors by varying the parameters. The existence of different shapes of hidden chaotic attractors is confirmed by microcontroller results obtained from the microcontroller implementation of the NRCISJJ model. It is theoretically demonstrated that the two designed single controllers can suppress the hidden chaotic attractors found in the NRCISJJ model. Finally, the synchronization and antisynchronization of unidirectional coupled NRCISJJ models are studied by using the feedback control method. Thanks to the Routh Hurwitz stability criterion, the controllers are designed in order to control chaos in JJ models and achieved synchronization and antisynchronization between coupled NRCISJJ models. Numerical simulations are shown to clarify and confirm the control, synchronization, and antisynchronization.
Elevated circASCC3 Suppresses Antitumor Immunity by Sponging miR-432-5p to Upregulate C5a in Non-small-cell Lung Cancer

Background: Tumor invasion and immune evasion are the main mechanisms underlying the progression of non-small-cell lung cancer (NSCLC). In addition, abnormally expressed circular RNAs (circRNAs) contribute to the malignant phenotype of NSCLC. Thus, further investigation of the mechanism of dysregulated circRNAs may provide new insight into the treatment of NSCLC.Methods: circRNA sequencing was used to explore the different expression profiles of circRNAs in 4 NSCLC tissues and paired normal tissues. Then, the expression of key circRNAs in NSCLC tissues and matched normal tissues was further evaluated via in situ hybridization and in cell lines using quantitative real-time polymerase chain reaction (qRT-PCR). Next, in vitro and in vivo models of NSCLC were employed to uncover the functions and mechanisms of key circRNAs in NSCLC progression and treatment.Results: circASCC3 (hsa_circ_0077495) was overexpressed in NSCLC tissues compared to paired normal tissues, and the upregulation of circASCC3 indicated a dismal prognosis in patients with NSCLC. Overexpressed circASCC3 enhanced the malignant phenotype of NSCLC cells in vitro and led to an immunosuppressive microenvironment in vivo. Mechanistically, circASCC3 sponged miR-432-5p to increase the expression of complement C5a, which induced the progression and dysfunctional immune status of NSCLC. Moreover, the combination of the C5aR inhibitor PMX-53 and anti-programmed cell death 1 (PD-1) antibody achieved synergistic effects in NSCLC models overexpressing circASCC3.Conclusion: These results uncover the contributions of circASCC3 to NSCLC progression and immunosuppression and provide a potential strategy for overcoming resistance to anti-PD-1 therapy.
Youth in Group Home Care: An Investigation of Negative Peer Influence and Youth Antisocial Behavior

The risk of delinquent to antisocial behaviors among youth (teenagers) seem to be more prevalent in group homes than other foster homes. The aim of this study was to examine the association between negative peer influence and youth antisocial behaviors in group homes. Participants were 875 youth aged 10 to 17 at baseline (2010–2011). Logistic regression modeled antisocial behavior and tested the hypothesis that negative peer influence will predict youth antisocial behaviors cross sectionally at baseline and longitudinally after 3-year follow up, and negative peer influence will be moderated by group home size. The Ontario Looking after Children database was used for analysis. Findings indicate that negative peer influence predicts youths’ risk of antisocial behavior (at baseline). The risk increased almost five folds in 3 years. At baseline (OR = 1.65) and (OR = 4.90) after 3 years. Generally, findings suggest negative peer influence underscores youth antisocial behaviors in group homes.
A High-Performance Nanoreactor for Carbon–Oxygen Bond Hydrogenation Reactions Achieved by the Morphology of Nanotube-Assembled Hollow Spheres

Hydrogenation of carbon–oxygen bonds is extensively used in organic synthesis. However, a high partial pressure of hydrogen or the presence of excess hydrogen is usually essential to achieve favorable conversions. In addition, because most hydrogenations are consecutive reactions, the selectivity is difficult to manipulate, leading to an unsatisfactory distribution of products. Herein, a copper silicate nanoreactor with a nanotube-assembled hollow sphere (NAHS) hierarchical structure is proposed as a solution to these problems. In the case of dimethyl oxalate (DMO) hydrogenation, the NAHS nanoreactor achieves remarkable catalytic activity (the yield of ethylene glycol is 95%) and stability (>300 h) when the H2/DMO molar ratio is as low as 20 (in comparison to typical values of 80–200). For further investigation, nanotubes and lamellar-shaped Cu/SiO2 catalysts with similar surface areas of active sites of NAHSs were investigated as contrasts. By a combination of high-pressure hydrogen adsorption and Monte .
An image segmentation framework for extracting tumors from breast magnetic resonance images

Magnetic resonance imaging (MRI) has been a prevalence technique for breast cancer diagnosis. Computer-aided detection and segmentation of lesions from MRIs plays a vital role for the MRI-based disease analysis. There are two main issues of the existing breast lesion segmentation techniques: requiring manual delineation of Regions of Interests (ROIs) as a step of initialization; and requiring a large amount of labeled images for model construction or parameter learning, while in real clinical or experimental settings, it is highly challenging to get sufficient labeled MRIs. To resolve these issues, this work proposes a semi-supervised method for breast tumor segmentation based on super voxel strategies. After image segmentation with advanced cluster techniques, we take a supervised learning step to classify the tumor and nontumor patches in order to automatically locate the tumor regions in an MRI. To obtain the optimal performance of tumor extraction, we take extensive experiments to learn parameters for tumor segmentation and classification, and design 225 classifiers corresponding to different parameter settings. We call the proposed method as Semi-supervised Tumor Segmentation (SSTS), and apply it to both mass and nonmass lesions. Experimental results show better performance of SSTS compared with five state-of-the-art methods.
Leading or lagging: How well are climate change considerations being incorporated into Canadian fisheries management?

In response to fisheries declines and delayed population recoveries, many management agencies globally are integrating alternative strategies that incorporate precautionary and ecosystem considerations, increasingly focusing on climate variability and change. Here, we quantitatively evaluate how these themes have been incorporated into the science and management plans for Canada’s fisheries by analyzing the content of 905 research and management documents published by the Fisheries and Oceans Canada (DFO) for the Atlantic and Eastern Arctic regions. We found that the precautionary approach was mentioned much more frequently (44%) than climate change (11%) or ecosystem approaches to fisheries management (1%). Of research documents that mentioned climate change, 61% contained only a single reference to it, suggesting that it is not quantitatively evaluated in the science that informs the advisory and decision-making processes. Most references to climate change in the DFO research documents expressed high uncertainty of how climate change would impact the stock dynamics. We propose explanations for this and discuss approaches for increasing the incorporation of these themes into Canada’s fishery management.
Robustness Evaluation for Harmonic Suppression of LCL-Type Converter Based on Converter-Side Current Feedback Strategy Under Weak and Distorted Grid

Due to the existence of grid impedance, the grid voltage often contains low order background harmonics, which will deteriorate the current quality of grid connected converters. In view of this situation, considering the delay effect and weak grid, the robustness of two single loop control modes of LCL- type grid connected converter, namely grid-side current feedback (GCF) and converter-side current feedback (CCF), is evaluated to improve the current quality of the grid current under distorted grid. Through the analysis and demonstration of above impedance models, CCF has the advantages of excellent stability and excellent power quality. Then, a direct harmonic suppression strategy based on CCF is proposed. The strategy takes the converter side current which contains richer low harmonic content as harmonic information source, and the control effect is more effective than the traditional strategy which uses capacitor current as harmonic information source. Without additional control strategy and controller, the hardware cost is reduced and algorithm complexity is simplified. The simulation and experimental results verify the correctness and feasibility of the theoretical analysis.
Iron oxide Nanoparticles: Synthesis and Characterization by Chemical Deposition method

Here we report the deposition method of iron-oxide film. Synthesis, characterization and physico-chemical properties of oxide nanomaterials. Iron oxide thin film deposited onto the plain glass material. Iron oxide nanoparticles were synthesizes using chemical method by iron chloride and aqueous ammonia solution as a herald. In order to establish the composition of the iron oxide nanoparticles and its relation with size, the morphological, structural and magnetic properties of the prepared samples were investigated using DLS, SEM and TEM. The scanning electron microscopy (SEM) images show morphology of Iron oxide obtained by the above method and the growth of iron nano-rod of the as-deposited Iron-Oxide thin film. Iron oxide thin film is water dispersible, highly stable for more than 100 days at neutral pH with a size of less than 10-15 nm.
Effect of Different Edible Coatings on Postharvest Quality of Mandarin Orange (Citrus reticulata Blanco)

Although Nepal produces a large amount of mandarin it faces huge postharvest losses due to improper postharvest practices. Treating fruits with different edible coatings can minimize postharvest losses. The experiment was carried out in the horticulture lab of Prithu Technical College, Dang, Nepal to evaluate the effects of different edible coating materials on the postharvest quality of mandarin. The experiment was laid in Complete Randomized Design (CRD) with three replications and seven treatments in each replication. Mandarins were coated with different edible coating materials i.e. paraffin wax (100%, 75% and 50%), mustard oil, Aloe vera, turmeric paste and control (non-coated). After coating with different edible materials, mandarins were kept at ambient room conditions (18±2℃ and 52.41±14.35%). The lowest physiological loss in weight at 7, 14and 21 days was recorded in mandarin coated with 75% paraffin wax which was 3.10%, 4.83% and 10.33%, respectively. The highest titratable acidity (0.68%), juice content (46.33%) and marketable fruit percentage (81.73%) were recorded in 75% paraffin wax. The highest total soluble solid (14.00 ˚Brix) was recorded in control. Based on the result obtained from our research, it is suggested to use 75% paraffin wax for the storage of mandarin at ambient room conditions (18±2℃ and 52.41±14.35% RH) as it gives a high percentage of marketable fruits and juice content and also minimizes the physiological loss in weight.
Pharmacophore Modeling and 3D QSAR analysis of flavonoids and congeners active against A549 cell line

In our present study we have developed a ligand based 3D QSAR of 27 flavonoids and congeners active against human lung cancer cell line (A549) using the Phase module of Schrodinger suit. A five feature pharmacophore (AAARR) hypothesis yielded a statistically significant 3D-QSAR model having r2 = 0.9058, q2 = 0.6545, Pearson R = 0.8223, RMSD = 0.373 and r2pred = 0.65512. The results of this pharmacophore based 3D-QSAR model gives a structural insight of selected flavonoids and congeners as A549 inhibitors which will provide guidance for the potential anti lung cancer drug design.
Rank Approach for Equality Relations of BLUPs in Linear Mixed Model and its Transformed Model

A linear mixed model (LMM) M : y = Xβ +Zu+ ε with general assumptions and its transformed model T : Ty = TXβ +TZu+Tε are considered. This work concerns the comparison problem of predictors under M and T . Our aim is to establish equality relations between the best linear unbiased predictors (BLUPs) of unknown vectors under two LMMs M and T through their covariance matrices by using various rank formulas of block matrices and elementary matrix operations.