Miracle-dz/UniFAR-FTUs huggingface dataset:
Quality testing of industrially produced essential oil of white pine (Pinus sylvestris L.) from the Republic of Srpska

The quality of the essential oil obtained from white pine wood greenery from the territory of the Republic of Srpska was analyzed by examining the chemical composi- tion and antimicrobial activity of samples produced by the hydro-distillation process in industrial production conditions. The chemical composition of the essential oil was analyzed by GC/MS and GC/FID analysis. The antimicrobial activity of the ob- tained white pine oil was investigated for its possible use as an antimicrobial agent. The obtained results prove the presence of 37 components in the analyzed sam- ple, which represents 98.5% of the total components present. The most common are monoterpene hydrocarbons, followed by sesquiterpene hydrocarbons, much less represented are monoterpenes containing oxygen and aromatic compounds, while aliphatic esters are found only in traces. Antimicrobial activity was examined using the disk diffusion method. The results showed large zones of inhibition, both for the tested oil sample and for all eight analyzed bacterial strains (from 12.00 ± 0.00 to 17.33 ± 1.15mm), as well as for the fungal strain. The chemical composition and antimicrobial action of essential white pine oiled from plant material originating from the territory of the Republic of Srpska indicates its significant phytomedical potential.
The effect of patience training on university students’ patience and life satisfaction levels

The purpose of this study is to determine the effect of the "patience training program" on the patience and life satisfaction levels of university students. The study was organized as a pre-test, post-test experiment and control group design. For a total of 30 students from which were 17 in the control group and 17 in the experimental group, patience training was given for 5 weeks. The "Patient Scale" developed by Schnitker (2010) and adapted to Turkish by Eliüşük and Arslan (2016) and the "Life Satisfaction Scale" developed by Diener, Emmons, Larsen and Griffin (1985) and adapted to Turkish by Dağlı and Baysal (2016) were used as a data collection tool in the study. The "Wilcoxon" test was used for the comparison of in-group differences in the analysis of obtained data and the "Mann-Whitney U" test was used in examining the differences between the two groups. As a result of the study, it was observed that the patience and life satisfaction average scores of students in the experimental group receiving "patience training" increased significantly, while there was no significant difference in the patience and life satisfaction averages scores of the control group students.
Analysis of the behavioral impact of code modifications

Code reviewing is the process to review code modifications by a peer in order to reduce the risk of regression (also known as a ”pull request” in GitHub). Historically, the review process is based on the analysis of textual change of the code and the status of the execution of the tests (continuous integration). With this project, we explored a new way to review the code modifications by looking at the execution impact that the code modifications have on the system. To accomplish this, we implemented a tool Code Review Helper that takes a pull request from GitHub, runs it and compares it to the stable version of the project, analysing its impact on the system’s execution, and presents the most relevant information in order to assist the reviewer in the review process. This information is related to the coverage of the lines altered by the pull request we are analysing, the changes introduced to the coverage of other areas of the project, flame graphs to visualize execution traces of the software, and test times in order to identify possible performance slowdowns (or possible
The Mysterious Gamma-Ray Excess of Andromeda: Comparing Millisecond Pulsars to Dark Matter

The discovery of an excess in gamma rays coming from the center of our Milky Way galaxy in 2009 has opened up an exciting field in the search for dark matter. More recently in 2017, another such an excess has been confirmed to be present in the Andromeda galaxy. In this work we analyze 10 years of Fermi-LAT data in the attempt to rigorously characterize the significance of this excess when accounting for uncertainties coming from difficulties in modeling the gamma-ray background. For this purpose we constructed specific background models for the Andromeda sky region, employing modern inpainting techniques based on algorithms involving neural networks. We furthermore developed models for testing the hypothesis that this signal could be caused by a population of millisecond pulsars (MSPs), which are as of yet unresolved by the Fermi space telescope. Our findings indicate, that the emission of annihilating darkmatter is unwarranted when accounting for the emission of the beforementioned pulsars or contributions from interstellar gas and dust. The results of this work build up on previous attempts on this matter, but we use a more sophisticated and robust statistical framework in combination with templates specifically constructed for this purpose alone.
“FORMULATION OF SIMVASTATIN LOADED CHITOSAN NANOPARTICLES BY USING CENTRAL COMPOSITE DESIGN”

The goal of this study is to design and develop a Simvastatin particulate drug delivery system utilizing the ionic gelation method in order to improve the drug's solubility and sustain its release. Chitosan (77% DA), non-toxic, biodegradable and biocompatible polymer were used as matrix material while Sodium tripolyphosphate used as the crosslinking agent. Central composite design was chosen as statistical tool for analysis study and to optimization of formulation variables like CS percentage, TPP percentage and DR. The formula that was found to be the most efficient was chosen and characterized for particle size, polydispersity index , zeta potential, EE%, drug loading, in-vitro drug release, DSC, XRD and SEM. The stability study of optimal SIM CS-TPP NPs was carried out for one month at room temperature. Optimized formulations had PS 281.4nm, a narrow PDI 0.441, ZP -17.7mv, sustain drug release 71.48% over 12 hrs and EE% of 99.94%. SEM study confirmed that successful fabrication of nearly spherical shaped particles in nanometer range. There was no physical change and no huge disparity in PS and ZP after one month of stability testing, showing that the formulation was stable. As a result, nanoparticulate systems such as PNPs might be used to improve the bioavailability of poorly soluble drugs such as Simvastatin.
Government Size dan Pertumbuhan Ekonomi di Indonesia Government Size and Economic Growth in Indonesia

The aim of this research to investigate the effect of government size on regional economic growth in Indonesia. This study uses panel data analysis with using two years of interval data from 2009 until 2015. The results showed that government size has a significant effect on economic growth and it has a non-linear relationship. According the estimation from the model, the threshold government size on regional economic growth is 38.98 percent. Above the threshold, an increase in government size will instead have a negative effect on economic growth.
Review on Analysis of Chatbot in Mental Healthcare

To cure mental stress, the best manner is to speak concerning their feelings with somebody they trusty and unharnessed their pain inside them. The best thing somebody WHO is depressed will do is to achieve out and to speak concerning it before they act on their feelings.Chatbots are unit special agents that respond with the user in language even as a person's would reply. Specifically, social chatbots are those that establish a powerful emotional relationship with the user. The main construct behind this chatbot was to supply mental relief to students who bear totally different levels of stress. Associate in nursing which might be the onset of an unfriendly depression. A intelligent social therapeutic chatbot distributes the text into feeling. Further, supported the feeling label, it establish the users’ mental state like stressed or depressed mistreatment users’ chat data. For feeling detection, 3 fashionable deep learning classifiers to be deployed. The planned methodology of the chatbot is domain specific wherever through the users’ interaction, the chatbot can attempt to forestall the bearish actions and reconstruct more constructive thoughts. Keywords— Artificial Intelligence, Chatbot, Conversational Agents, Depression, NLP, Sentimental Analysis, Students, Therapeutic chatbot, Voice Analysis.
FlexAE: flexibly learning latent priors for wasserstein auto-encoders

Auto-Encoder (AE) based neural generative frameworks model the joint-distribution between the data and the latent space using an Encoder-Decoder pair, with regularization imposed in terms of a prior over the latent space. Despite their advantages, such as stability in training, efﬁcient inference, the performance of AE based models has not reached the superior standards of the other generative models such as Generative Adversarial Networks (GANs). Motivated by this, we exam-ine the effect of the latent prior on the generation quality of deterministic AE models in this paper. Speciﬁcally, we consider the class of Generative AE models with deterministic Encoder-Decoder pair (such as Wasserstein Auto-Encoder (WAE), Adversarial Auto-Encoder (AAE)), and show that having a ﬁxed prior distribution, a priori , oblivious to the dimensionality of the ‘true’ latent space, will lead to the infeasibility of the optimization problem considered. As a remedy to the issue mentioned above, we introduce an additional state space in the form of ﬂexibly learnable latent priors, in the optimization objective of WAE/AAE. Additionally, we employ a latent-space interpolation based smoothing scheme to address the non-smoothness that may arise from highly ﬂexible priors. We show the efﬁcacy of our proposed models, called FlexAE and FlexAE-SR, through several experiments on multiple datasets, and demonstrate that FlexAE-SR is the new state-of-the-art for the AE based generative models in terms of generation quality as measured by several metrics such as Fréchet Inception Distance, Precision/Recall score. Code for our
Bioactive Nano Hydroxyapatites for Orbital Floor Repair and Regeneration

Bioactive nano-hydroxyapatites have been synthesised for orbital floor repair and regeneration. Hydroxyapatite (HA) is widely used for bone repair and regeneration. It is composed of multiple anionic and cationic species, such as carbonate, fluoride, phosphate, sodium, magnesium, silicon and citrate. However, the development of bioactive materials that can repair and regenerate bone is crucial for orbital floor fracture repair. Different ionic-substituted hydroxyapatites that included carbonate, fluoride and citrate were prepared by using a low-temperature hydrothermal flow process and their chemical and physical properties evaluated. Biological properties were evaluated by analysing cell viability of these synthesised materials by Alamar Blue cell metabolic activity assay with two different cell lines (MG63 and HTERT-BMSC’s). Results confirmed that ionic substitution with fluoride and citrate improved biocompatibility and cell viability of synthesised hydroxyapatites.
What Can Time-Series Regressions Tell Us About Policy Counterfactuals?

We show that, in a general family of linearized structural macroeconomic models, knowledge of the empirically estimable causal effects of contemporaneous and news shocks to the prevailing policy rule is sufficient to construct counterfactuals under alternative policy rules. If the researcher is willing to postulate a loss function, our results furthermore allow her to recover an optimal policy rule for that loss. Under our assumptions, the derived counterfactuals and optimal policies are robust to the Lucas critique. We then discuss strategies for applying these insights when only a limited amount of empirical causal evidence on policy shock transmission is available.
An Efficient Correlation Power Analysis Attack Using Variational Mode Decomposition 

Side channel attacks (SCAs) are now a real threat to cryptographic devices and correlation power analysis (CPA) is the most powerful attack. So far, a CPA attack usually exploits the leakage information from raw power consumption traces that collected from the attack device. In real attack scenarios, these traces collected from measurement equipment are usually contaminated by noise resulting in a decrease in attack efficiency. In this paper, we propose a variant CPA attack that exploits the leakage information from intrinsic mode functions (IMFs) of the power traces. These IMFs are the results of the variational mode decomposition (VMD) process on the raw power traces. This attack technique decreases the number of power traces for correctly recovering the secret key by approximately 13% in normal conditions and 60% in noisy conditions compared to a traditional CPA attack. Experiments were performed on power traces of AES-128 implemented in both microcontroller and FPGA by Sakura-G/W side channel evaluation board to verify the effectiveness of our method.
The Evolution in the Value Relevance of Ac- counting Measures in Indonesia

This paper utilizes the model for share price, which is derived from the valuation model of residual income, to rigorously assess the evolution of the value relevance of accounting measures in Indonesia. As an emerging country, Indonesia’s capital markets have had their equity valuations changed substantially. This research uses two different approaches, which are cross-sectional and panel regressions. The statistical results indicate a strong linear association between share prices and fundamental accounting measures. Cross-sectional yearly price regressions provide strong evidence of non-linear changes to the value relevance of the accounting measures over time. Moreover, using panel data analysis, the results of unconditional comparisons reveal that the increased value-relevance of the financial statements are offset by a reduction in the value relevance of earnings per share during the IFRS regime. This could potentially contribute to explain the decrease in the value relevance of accounting numbers during the switchover to IFRS in Indonesia. This study infers that IFRS did not provide robust and recent evidence of its accounting relevance in emerging market countries. Therefore, the usefulness of adopting IFRS needs to be reviewed. It also recommends that the adoption of IFRS should consider common business practices in Indonesia, since this adoption may empower investors’ decision making.
Synthesis and ethanol sensing properties of indium-doped tin oxide nanowires. Appl Phys Lett 88:201907

Indium-doped tin oxide (ITO) nanowires are synthesized in mass production via thermal evaporation of In2O3, SnO, and graphite mixture powders. The transverse sizes of these nanowires range from 70 to 150 nm, and the lengths are up to several tens of micrometers. The three elements In, Sn, and O uniformly distribute over the whole nanowire, respectively. The atomic concentration of In is about 5%. The gas sensors realized from these ITO nanowires are very sensitive to ethanol gas, and the sensitivity is about 40 against 200ppm ethanol at the work temperature of 400°C. Both the response and recovery time are shorter than 2s. These results suggest that ITO nanowires are good candidates for fabricating gas sensors.
Benzo(a)pyrene induced liver disorders in rats: possible protective effects of mulberry (Morus alba L.) leaves

The present study aimed to investigate the potential protective effects of mulberry leaves on rat liver injuries induced by Benzo(a)pyrene [B(a)P]. Mulberry leaves powder (MLP) was prepared and its chemical composition, bioactive compounds content and antioxidant activity were detected. The obtained data indicated that MLP contain high levels of protein, ash, crude fiber, carbohydrates, antioxidant vitamins (A, C and E) and non-nutrient antioxidants (phenolics and carotenoids) as well as exhibited high antioxidant activity (65.54%). For biological experiments, MLP has been fed at concentrations ranged 1 to 4 % in basal diet of rats for 2 weeks then injected with B(a)P to induce liver injuries. Treatment of animals with B(a)P caused a significant increased (p≤0.05) in AST (69.77%), ALT (99.19 %) and ALP (131.93 %) compared to normal group. Also, B(a)P treatment brought a significant (p≤0.05) increase in the activity of drug metabolizing enzymes (cytochrome P450, Cyt P450) and significant (p≤0.01) decrease in both serum triglycerides and liver glycogen content by the ratio of 47.53, -71.80 and -77.89%, respectively. Supplementation of the rat diets with MLP prevented partially the rise of liver function enzymes activities (AST, ALT and ALP) and cytochrome P450 (Cyt P450) as well as decrease in both serum triglycerides and the liver glycogen level. The results of this study suggest that treatment with MLP proved beneficial on manipulation of the liver injuries induced by B(a)P. Therefore, we recommended MLP by a concentration of about 4% to be included in our daily diets, drinks and food products.
University of Groningen Tethering Cells via Enzymatic Oxidative Crosslinking Enables Mechanotransduction in Non- Cell-Adhesive Materials Kamperman,

Citation for published version (APA): Kamperman, T. , Henke, S. , Crispim, J. F. , Willemen, N. G. A. , Dijkstra, P. J., Lee, W. , Offerhaus, H. L. , Neubauer, M. , Smink, A. M. , de Vos, P., de Haan, B. J., Karperien, M. , Shin, S. R. , & Leijten, J. (2021). Tethering Cells via Enzymatic Oxidative Crosslinking Enables Mechanotransduction in Non-Cell-Adhesive Materials. Advanced materials, [e2102660]. https://doi.org/10.1002/adma.202102660
FLOWING INTO HYPERFOCUS 1 Flowing into Hyperfocus: Hyperfocus and Cognition in Adults with ADHD

Adults diagnosed with Attention Deficit Hyperactive Disorder (ADHD) often report long-lasting episodes of intense concentration on a task--a concept known as hyperfocus (HF). While HF is frequently anecdotally reported, it is not an official clinical symptom of ADHD and thus requires more study. Building upon our lab’s past work, this thesis contains three studies. The first study examined the cognitive mechanisms of HF. We hypothesized that adults with ADHD experience more HF which would result in worse task-switching performance. To measure HF, we administered the Adult Hyperfocus Questionnaire (AHQ). Study 1 found that participants who reported higher HF were actually better at task-switching. Because the AHQ skipped key scale development steps and was too long, we created an improved HF scale in Study 2. We performed cognitive interviews to identify confusing wording in the items and used this information to shorten the AHQ into the AHQ-2. In Study 3, we administered the AHQ-2 to two separate cohorts. These data replicated previous findings that ADHD adults experience more HF than non-ADHD adults, and that higher ADHD symptomatology correlates with higher HF scores. Additionally, those with ADHD have more positive and more negative HF experiences than their non-ADHD counterparts. Finally, the AHQ-2 performed similarly compared to the AHQ in indexing HF, suggesting that future studies may use our revised scale. Data collection and analyses are still ongoing. Future work will focus on continuing to refine the AHQ-2 and testing its psychometric properties and relationships with ADHD diagnosis and symptoms in larger replication samples.
Efficacy of Ultraviolet-C Devices for the Disinfection of Personal Protective Equipment Fabrics and N95 Respirators

Since the onset of the coronavirus disease 2019 (COVID-19) pandemic, a plethora of ultraviolet-C (UV-C) disinfection products have come to market, especially in emerging economies. UV-C–based disinfection products for mobile phones, food packaging, face masks and personal protective equipment (PPE), and other everyday objects are available in popular electronic-commerce platforms as consumer products. Product designers from multinational to startup companies began to design UV-C disinfection products but had no prior-art reference, user feedback, or validation of product efficacy, which are important stages in product design. A UV-C disinfection product cannot be assessed by most consumers for its viricidal efficacy. Many firms entered the domain of UV-C products and were unaware of the necessary validation requirements. Lack of availability and access to virology laboratories, due to lockdowns in countries, and lack of standards and certification for UV-C disinfection products limited product designers and firms in benchmarking their UV-C–based devices before market release. This work evaluates two UV-C disinfection devices for viricidal efficacy on PPE fabric and National Institute for Occupational Safety and Health (NIOSH)–certified N95 respirators through controlled experiments using the H1N1 virus, which is enveloped and is transmitted via the respiratory route similar to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the cause of COVID-19. The experiment also evaluated the effectiveness of chemical disinfectants along with and versus UV-C disinfection. Experiments for material selection, UV dose calculation, and UV endurance of PPE samples to be disinfected are also discussed. The outcome of this work establishes a systematic method to validate the efficacy of UV-C disinfection products. The design guidelines would benefit product designers in designing UV-C–based disinfection products.
Prevalence and Molecular Characterizations of Escherichia coli in Meat Products Abd-El

Meat products is considered a rich source of proteins, essential amino acids, B complex vitamins and minerals. So, it considers a highly favorable environment for the pathogenic bacteria growth. A total of 200 random samples of meat products (minced meat, kofta, beef burger, luncheon and sausage) ,40 of each, collected from small scale shops and markets at Menoufia Governorate, Egypt. The collected samples were examined for isolation, serological identification and molecular characterization of E. coli by using PCR technique. The results showed that the isolated E. coli from the examined samples by the percentage of 20% (8/40) ,25% (10/40) ,42.5% (17/40) ,50% (20/40) ,37.5% (15/40), respectively. The isolated E. coli was serologically identified as O55:H7, O78, O119:H6, O124, O127:H6 and O146:H21. PCR results showed that shiga toxin 2 gene (stx2) was detected in O78 and O146:H21 while, shiga toxin 1 gene(stx1) and shiga toxin 2 gene(stx2) were detected in O55:H7 ,O119:H6 and O127:H6, also, E.coli O127:H6 strain was positive for intimin gene (eaeA). Keyword: Meat products, E. coli, Shiga toxins.
Deriving Digital Twin Models of Existing Bridges from Point Cloud Data Using Parametric Models and Metaheuristic Algorithms

In building information modeling (BIM), a digital twin (DT) is a model that represents the current status of an existing structure; thus, facilitating the operation and management process. Due to higher measurement speed and accuracy, laser scanning and photogrammetry are generally employed, resulting in point cloud data (PCD). Today, the required volumetric models are created in a laborious and costly manual process from PCD. This paper aims to automate this process by applying metaheuristic optimization algorithms to fit highly parametric BIM models of bridges into given point clouds. For this purpose, parametric base models of elements are created and instantiated by adjusting their parameters’ value using metaheuristic algorithms. This optimization process leads to extracting the parameters for a model from PCD and creating 3-D volumetric shapes. The paper’s results show that metaheuristic algorithms can be successfully used for parametric modeling even in point clouds with occlusion and clutter.