Miracle-dz/UniFAR-FTUs huggingface dataset:
Rheological Properties of Corn Starch Gels With the Addition of Hydroxypropyl Methylcellulose of Different Viscosities

The objective of this study is to determine the effect of the addition of hydroxypropyl methylcellulose (HPMC) (from 0.5 to 2.0% w/w, starch basis) with three different viscosities (40–60, 80–120, and 2,600–5,600 mPa⋅s) to corn starch (30% w/w, total basis) gels. Average viscosimetric molecular weights (Mv) of tested HPMC were determined (from 27.2 × 103 to 82.7 × 103 g/mol). Water retention capacity of HPMC varied linearly with Mv. The formation and curation of gels were monitored by rheology employing consecutive steps such as heating ramp (25–90°C), time sweep (90°C), cooling ramp (90–25°C), time sweep (25°C), and frequency sweep. Additionally, creep-recovery tests were performed. HPMC above 1.5% w/w delayed the range of gelatinization temperature of starch up to 2°C. Viscoelasticity and stiffness of corn starch gels with HPMC depend on both the amount of polymer added and Mv of the HPMC. Finally, to achieve corn gels with mimetic viscoelastic properties to wheat gel (with constant total solids), HPMC with relatively low viscosity (low Mv) is necessary to be added at certain content.
The Effects of Behavioral Foundations and Business Strategy on Corporate Dividend Policy

This study analyzes the influence of behavioral foundation factors and corporate strategic behavior on the formulation of corporate dividend policy. We use the Logit model and the OLS model for estimating the empirical model. The year- and industry-fixed effects are controlled in the model. We consider the behavioral foundations in three dimensions-ambiguity aversions, risk aversion, and loss aversion. The results show firms with high ambiguity or high risk infrequently pay dividends but firms with loss-averse behavior tend to pay dividends. This paper also provides evidence that a firms’ business strategy influences its corporate dividend policy. Aggressive firms inhibit the payout of dividends. In additional tests, we find the results remain unchanged in those firms with high corporate governance or high growth opportunities.
Natural Flavonoids Derived From Fruits Are Potential Agents Against Atherosclerosis

Atherosclerosis, as a chronic inflammatory response, is one of the main causes of cardiovascular diseases. Atherosclerosis is induced by endothelial cell dysfunction, migration and proliferation of smooth muscle cells, accumulation of foam cells and inflammatory response, resulting in plaque accumulation, narrowing and hardening of the artery wall, and ultimately leading to myocardial infarction or sudden death and other serious consequences. Flavonoid is a kind of natural polyphenol compound widely existing in fruits with various structures, mainly including flavonols, flavones, flavanones, flavanols, anthocyanins, isoflavones, and chalcone, etc. Because of its potential health benefits, it is now used in supplements, cosmetics and medicines, and researchers are increasingly paying attention to its role in atherosclerosis. In this paper, we will focus on several important nodes in the development of atherosclerotic disease, including endothelial cell dysfunction, smooth muscle cell migration and proliferation, foam cell accumulation and inflammatory response. At the same time, through the classification of flavonoids from fruits, the role and potential mechanism of flavonoids in atherosclerosis were reviewed, providing a certain direction for the development of fruit flavonoids in the treatment of atherosclerosis drugs.
Pharmacological Validation of ASIC1a as a Druggable Target for Neuroprotection in Cerebral Ischemia Using an Intravenously Available Small Molecule Inhibitor

Acidosis is a hallmark of ischemic stroke and a promising neuroprotective target for preventing neuronal injury. Previously, genetic manipulations showed that blockade of acid-sensing ion channel 1a (ASIC1a)-mediated acidotoxicity could dramatically alleviate the volume of brain infarct and restore neurological function after cerebral ischemia. However, few pharmacological candidates have been identified to exhibit efficacy on ischemic stroke through inhibition of ASIC1a. In this work, we examined the ability of a toxin-inspired compound 5b (C5b), previously found to effectively inhibit ASIC1a in vitro, to exert protective effects in animal models of ischemic stroke in vivo. We found that C5b exerts significant neuroprotective effects not only in acid-induced neuronal death in vitro but also ischemic brain injury in vivo, suggesting that ASIC1a is a druggable target for therapeutic development. More importantly, C5b is able to cross the blood brain barrier and significantly reduce brain infarct volume when administered intravenously in the ischemic animal model, highlighting its systemic availability for therapies against neurodegeneration due to acidotoxicity. Together, our data demonstrate that C5b is a promising lead compound for neuroprotection through inhibiting ASIC1a, which warrants further translational studies.
Low-Power High-Throughput And Low-Area Architecture For The Fir Filter Structure

— Based on fast finite-impulse response (FIR) algorithms (FFAs), this paper proposes new parallel FIR filter structures, which are beneficial to symmetric coefficients in terms of the hardware cost, under the condition that the number of taps is a multiple of 2 or 3. The proposed parallel FIR structures exploit the inherent nature of symmetric coefficients reducing half the number of multipliers in subfilter section at the expense of additional adders in preprocessing and postprocessing blocks. Exchanging multipliers with adders is advantageous because adders weigh less than multipliers in terms of silicon area; in addition, the overhead from the additional adders in preprocessing and postprocessing blocks stay fixed and do not increase along with the length of the FIR filter, whereas the number of reduced multipliers increases along with the length of the FIR filter. For example, for a four-parallel 72-tap filter, the proposed structure saves 27 multipliers at the expense of 11 adders, whereas for a four-parallel 576-tap filter, the proposed structure saves 216 multipliers at the expense of 11 adders still. Overall, the proposed parallel FIR structures can lead to significant hardware savings for symmetric convolutions from the existing FFA parallel FIR filter, especially when the length of the filter is large which could be done using a Cadence virtuoso.
Korištenje različitih medijskih formi na društvenim mrežama: usporedba FB komunikacije drogerija u Hrvatskoj tijekom novogodišnjih blagdana

In thesis Using different media forms on social networks: a comparison of FB drugstore communication in Croatia during the New Year holidays was conducted content analysis to verify the hypothesis: Different results are achieved by using different media forms. The research was conducted on a sample of 309 published posts on Facebook pages: dm-drogerie markt Croatia, BIPA Croatia and KOZMO in period of the New Year’s holidays, more precisely from the November 2nd, 2015 up to January 10th, 2016. Whereas the existing researches mainly dealt with the topic of drugstore loyalty program in Croatia, this research brings an insight into how certain forms of media on social networks, especially Facebook, may affect the users. By interpreting the obtained results, it was determined how frequently published combination of media forms is not also the combination with the most reactions (likes, comments and shares) by the users, which confirms one of the hypothesis: There is a media form that specifically activates the users. With the particular combination of media forms, users want more content that are not closely related to the sale of drugstores’ products and services. Active users are becoming more demanding and community managers have to make an effort to identify, comprehend and predict the behavior of users on social networks because their input can be beneficial or destructive for the reputation of the organization.
Graph Database Technology and k-Means Clustering for Digital Forensics

: Networking architectures and modern communication technologies have enabled reliable high speed communication for small network systems hosting tens of thousands of users to enterprise systems connecting hundreds of thousands of users across multiple network architectures. However, this increased reliance on networked systems for communication, control, and services results in an ever increasing cyber attack surface. Not only is the attack surface much larger, the complexity of network designs utilizing multiple firewalls, Network Address Translators (NAT), and Virtual Local Area Network (VLAN) have added a layer of difficulty when determining cyber attacks and their respective operational impact. Typical network defense tools include, utilizing firewalls, whitelisting IPs, network access controls, anti-malware software, and more prominently deployed Intrusion Detection Systems (IDS). IDS logs provide the first line in cyber defense and a major indicator of possible cyber threats. However, IDS logs do not provide the network context and network architecture required to accurately assess the degree and depth of a cyber attack. Security Incident and Event Management systems (SIEM) and data aggregators such as GrayLog provide a way to merge multiple data streams for a holistic view of cyber events, though do not provide the network paths and context required to make informed operational decisions. In this paper we propose a novel use of graph database technologies in conjunction with a k-means clustering algorithm performing data analysis on IDS logs. The graph database technology enables quick and complex path traversals which would take long lead times with traditional relational databases. The k-means clustering algorithm provides a means to analyze groups of events for a more comprehensive view of possible cyber scenarios. Integration of the two results in a novel means to determine possible network traversals and other potential victims providing a missing piece in existing IDS and SIEM systems. The University of New Brunswick Information Security Center of Excellence (ISCX) Intrusion Detection Evaluation and DARPA 1999 Dataset is used to evaluate this new cyber forensics approach focusing on malicious network activity traversal. The open source Snort® system will be used to generate the logs and the network graph database model discussed.
IoT BASED HEALTH MONITORING SYSTEM LIM CHEE YUAN A project report submitted in partial fulfillment of the requirements for the award of Bachelor of Engineering (Honours) Electrical and Electronic Engineering

Health is wealth. Wealth and happiness are earned by having a healthy mind and body. However, people nowadays do not have much free time to keep track of their health status. Thus, a health monitoring system that automatically tracks and alarm the users about their health status is needed. Rapid improvement of the internet and technology, such as the Internet of Things allows the health monitoring system to be improved. The internet of things allows communication between machines and programmed actions to be triggered automatically, which makes the system to be more efficient. The traditional health monitoring system requires regular visitation of patients to doctors to check their health status. However, with the implementation of the internet of things in the health monitoring system, the health monitoring processes can be automated and helps the patient to save their precious time. Besides, the cloud that revolutionized data changing aids in the efforts of making a better and more reliable health monitoring system. The health data can be stored and visualized in real-time. In this project, a NodeMCU is used as a gateway to collect the health data of the user, and a Raspberry Pi 3 Model B+ broker is used as the central processing unit that processes all the received data. The broker receives health data from the gateway and process the data. The system is capable of tracking the location of the user by using the Google geolocation service. The health data and location of the user are visualized in the Thingsboard visualization platform in real-time. Several experiments and tests, such as accuracy test and error analysis were conducted on the proposed system, and encouraging results were obtained.
In Silico Analysis of the Correlation of KIF2C with Prognosis and Immune Infiltration in Glioma

Glioblastoma (GBM) is one of the most commonly pivotal malignant caners. Numerous reports have revealed the crucial roles of immune infiltration in the initiation and progression of GBM. In this study, we first identified differentially expressed genes (DEGs) in the progression of GBM using CGGA databases. Totally, 156 upregulated DEGs and 251 downregulated DEGs were revealed. By constructing a protein-protein interaction network, KIF2C was identified as a hub gene in GBM. Further analysis revealed an evidently positive association existing in KIF2C expression and the advanced stages of gliomas. Higher expression of KIF2C was in WHO grade IV samples relative to that in grade III and grade II samples. In addition, our results showed that KIF2C was higher in IDH1 wild-type samples than IDH1 mutant glioma samples, in 1p/19q noncodel samples than 1p/19q code glioma samples, and in recurrent samples than primary glioma samples. Moreover, our results showed that higher expression of KIF2C correlated with shorter survival time in both primary and recurrent gliomas and could act as a potential biomarker for the prognosis of GBM. Further analysis demonstrated that higher expression of KIF2C was related to higher levels of endothelial cell, T cell CD8+ naïve, common lymphoid progenitor, T cell CD4+ Th2, T cell CD4+ Th2, macrophage, macrophage M1, T cell CD4+ memory, and T cell CD4+ effector memory, but was related to lower levels of NK cell, B cell plasma, T cell CD4+ Th1, T cell regulatory (Tregs), neutrophil, and T cell NK. We thought this study could provide potential biomarkers for the prediction of prognosis and immune infiltration of gliomas.
Adaptation Frameworks for Clinical Guidelines and Proposing a Framework for Iran: A Review and Comparative Study

Background: Clinical Practice Guidelines (CPGs) can be adapted to local conditions to prevent any resources from being wasted. Adaptation of CPGs implies a systematic view of developed guidelines through maintaining evidence-based principles in order to find the ones most relevant with patients' conditions and its integration with the cultural and regional requirements of the target population and health system facilities. The main purpose of the study was to describe, interpret and compare different frameworks for adaptation of clinical guidelines and proposing a comprehensive framework for Iran. Methods: This study was based on a review and comparative analysis of adaptation frameworks of CPGs. Initially, all adaptation frameworks were collected by systematic search in the literature. We searched the following electronic databases: PubMed, Scopus, Trip Database, Science Direct, and Google Scholar. Then, based on the stages of the comparative study, frameworks were described, interpreted, juxtaposed, and compared. Finally, a comprehensive framework for the adaptation of clinical guidelines was proposed by consulting a panel of experts. Results: Our literature search resulted in 26 frameworks, of which 18 were potentially relevant. Based on inclusion/exclusion criteria, nine frameworks were included in the study and have been described, interpreted, and compared. The proposed comprehensive framework for the adaptation of clinical guidelines consists of ten main steps. Conclusion: The proposed comprehensive framework is an appropriate tool for the adaptation of clinical guidelines in Iran that can be used in other countries. However, further validation of the framework requires case studies and expert consultation to determine its application to the adaptation of clinical guidelines.
Book Review: Same and Different: How Models Contribute to Knowing. A review of Modelwork

Modelwork, a collection of articles edited by Martin Brückner, Sandy Isenstadt, and Sarah Wasserman (University of Minnesota Press, 2021), contributes to scholarship about human inquiry by exploring the nature and action of models. Models provide access to hidden realities by bridging the gap between the tangible and the abstract; models also alter perceptions and can have deep and lasting effects on human knowing. The collection argues for the importance of attending to this double action of modelling, and explores important epistemological questions.
Examination the effects of chestnut and Manuka Honey for wound healing on mice experimental model

Objective: In this study, the aim is to examine the effects of Chestnut and Manuka honey on wound healing in order to investigate the effectiveness of cost-effective alternative to current approaches in terms of wound care and treatment. Material and Methods: In this study, we used 30 healthy male Balbc mice weighing 18-24 g. We randomly divided the rats into three groups. A control group, a group treated with only Chestnut honey, a group treated with Manuka honey cream. After the wounds were formed in groups, the tissue samples were gathered on the seventh and fourteenth days. Then these samples were examined histologically and immunohistochemically. Results: When the study results were evaluated, statistically significant differences were seen between histological and immune-histochemical findings in wound tissue preparations. On the seventh day, tissue samples showed re-epithelialization (P=0,002), granulation cell density (P=0,003) and angiogenesis (P= 0,003). In the fourteenth day tissue samples, we found epithelialization (P=0,001), granulation cell density (P=0,002) and angiogenesis (P=0,001). In the tissue samples in the seventh and fourteenth days between the groups, we found immino-histochemically, Ki-67 and EGF dyeing percentages as P= 0,004 and P=0,003 respectively. Conclusion: We think chestnut honey may contribute to a shorter wound healing process.
The Effect of Wearing Eyeglasses on the Perception of Attractiveness, Confidence, and Intelligence

Introduction Several studies investigated the effect of wearing eyeglasses on self-esteem measures; however, most of these studies were conducted on western populations. We aim to assess the perception of attractiveness, confidence, and intelligence of young people of college-going age with and without glasses among university students. Methods This was a cross-sectional study conducted in five main Jordanian universities. We designed a survey with photos of four people with and without glasses (a total of eight photos). Participants rated the photos on a scale of 10 regarding attractiveness, confidence, and intelligence. Results A total of 517 participants were included in this study. We found significantly higher ratings for all domains of pictures without glasses compared to the same pictures with glasses. Moreover, participants not wearing glasses provided significantly higher attractiveness scores for most pictures not wearing glasses. Conclusion In our study on Jordanian college students of Arabian ethnicity, we found that eyeglasses may have a negative impact on a person’s image in regard to attractiveness, confidence, and intelligence.
Monte Carlo study on polarization PSF for underwater imaging enhancement

Underwater imaging enhancement is challenging because the significant light attenuation along the propagation direction by the turbid water. Solving the problems caused by scattering is the core issue of improving underwater imaging. In recent years, generating a specific point spread function (PSF) has been one of the cornerstones of modern microscopy for turbid tissue, which showed that PSF still has potential for underwater imaging enhancement. As polarization imaging technology showed great potential to improve the underwater imaging, we propose to study the polarization point spread function (pPSF) of the turbid media. We used Monte Carlo method for studying optical transmission. We used polystyrene microspheres of two different diameters to be the scattering particles in the water. We studied PSF in forms of S0, S1, S2, S3, parallelly gated light and vertical gated light. The results showed that S3 has similar pattern with S0 and could be implied in 1D along polar direction. S1 was 90° rotationally symmetrical and should be studied in 2D. The pPSF of S1 changed from x direction to diagonal direction continuously along the azimuth with different speed varied with transport distance. Further study on these characteristics is of great potential for us to improve the underwater polarization imaging.
Dose-dependent Spasmolytic, Bronchodilator, and Hypotensive Activities of Panicum miliaceum L.

Panicum miliaceum L. is a medicinally effective plant used in indigenous system of medicine for a variety of ailments. However, there is no comprehensive study explaining its effectiveness in gastrointestinal tract, respiratory, and cardiovascular system ailments. This study was designed to validate the pharmacological basis for the folkloric use of Panicum miliaceum L. in diarrhea, asthma, and hypertension. Panicum miliaceum extract was analyzed to detect the presence of bioactive compounds by HPLC. The isolated rabbit jejunum, trachea, and aorta were used for in vitro experiments using tissue bath assembly coupled with Power Lab data acquisition system to explore their relative effects. In-vivo experiments were performed for anti-diarrheal activity. HPLC analysis revealed the presence of gallic acid, butylated hydroxytoluene, catechin, and quercetin. Concentration dependent activities were observed by relaxing K+ (low) induced contractions having spasmolytic effect with EC50 = . 358 ± . 052, bronchodilator (EC50 = 2.483 ± .05793), and vasorelaxant (EC50 = .383 ± .063), probably due to the ATP dependent potassium channel activation. It was confirmed through pre-exposure of glibenclamide (specific ATP-dependent K+ channel blocker) having similarities with cromakalim. Pm.Cr revealed its antidiarrheal via in vivo experiments on rats. This study indicates that Panicum miliaceum has antidiarrheal, spasmolytic, bronchodilator, and vasorelaxant activities probably due to the ATP dependent K+ channel activation.
Design and simulation of high speed AlInP/AlGaInP/AlInP double heterostructure visible photodetector

The quaternary alloy (AlxGa1-x) y In1-yP is an attractive material due to its bandgap tunability while being lattice-matched to GaAs. Although this direct gap quaternary material is being extensively used for the visible lasers and LEDs due to its unique light absorption/emission properties, the applications in visible photodetectors remain unexplored. In this paper, A symmetric mesa AlInP/AlGaInP/AlInP double-heterostructure has been successfully designed based on the quaternary alloy for visible photodetection. The composition of (AlxGa1-x) y In1-yP was investigated with the help of MATLAB simulation and energy band discontinuity theory giving the values of y=0.48 and x=0.46. By using the first-order approximate data processing method and analogy with other III-V main group quaternary alloy compounds, the simulated values of bandwidth and responsivity are obtained to be 10 GHz and 0.85 A/W respectively at wavelength 560 nm. Meanwhile, by analyzing the influence of doping concentration and thickness of each layer on bandwidth and responsivity, the optimal doping concentration and thickness are obtained to be 2×1018cm-3 and 0. 5μm of P layer, 5×1015cm-3 and 1μm of absorption layer, 5×1017cm-3 and 0. 5μm of N layer respectively. By selecting optimized parameters, the device exhibits a detectivity of 108 cm√HzW-1 and a noise equivalent power of 10-11W. With high responsivity, high speed, and large bandwidth, the designed photodetector has a good application prospect.