Miracle-dz/UniFAR-FTUs huggingface dataset:
Sentiment Analysis of Snack Review Using the Naïve Bayes Method

Fast food is a product that we often encounter in stores such as convenience stores. Ready-to-eat products can now be easily found by consumers. One of the reason is due to the expansion of minimarkets in areas that are easily reached, such as housing complexes, school areas, and offices. Sentiment analysis is used to determine whether an opinion or comment on a product has a positive or negative interest and can be used as a reference in improving service, or improving product quality. In this research, we study the sentiments of consumers towards snack food products as a reference to improve the level of service and quality of these products. We classify the sentiment of a review on snack food products as positive and negative. To classify the sentiments we apply the Naïve Bayes and Multinomial Naïve Bayes methods. We compare the two methods to study the most effective and efficient method for classifying sentiments on reviews of snack food products. Keywords: Sentiment Analysis, TF-IDF, Naïve Bayes,Multinomial, Review, Snack, Preprocessing
DNA Methyltransferase Inhibitor Successfully Treats Obsessive-Compulsive Disorder in Various Mouse Models

Mental health disorders are manifested in families yet cannot be fully explained by classical Mendelian genetics. Changes in gene expression via epigenetics present a plausible mechanism. Anxiety often leads to avoidant behaviours, which upon repetition may become habitual, maladaptive, and resistant to extinction as observed in obsessive-compulsive disorders (OCD). Psychophysical models of OCD propose that anxiety (amygdala) and habits (dorsolateral striatum, DLS) may be causally linked. The amygdala activates spiny projection neurons in the DLS. Repetitive amygdala terminal stimulation in the DLS elicits long-term OCD-like behaviour in mice associated with circuitry changes and gene methylation-mediated decrease in protein phosphatase 1 (PP1). Treatment of OCD-like grooming behaviour in Slitrk5, SAPAP3, and laser-stimulated mice with one dose of RG108 (DNA methyltransferase inhibitor), leads to marked symptom improvement lasting for at least one week as well as a complete reversal of abnormal changes in the circuitry and PP1 activity.
A framework for explainable AI

The issue of ‘explanation’ has become prominent in automated decision aiding, particularly when those aids rely on Artificial Intelligence (AI). In this paper, we propose a formal framework of ‘explanation’ which allows us to define different types of explanation. We provide a use-cases to illustrate how explanation can differ, both in human-human and human-agent interactions. At the heart of our framework is the notion that explanation involves common ground in which two parties are able to align the features to which they attend and the type of relevance that they apply to these features. Managing alignment of features is, for the most part, relatively easy and, in human-human explanation, people might begin an explanation by itemizing the features they are using (and people typically only mention one or two features). However, providing features without an indication of Relevance is unlikely to provide a satisfactory. This implies that explanations that only present features (or Clusters of features) are incomplete. However, most Explainable AI provides output only at the level of Features or Clusters. From this, the user has to infer Relevance by making assumptions as to the beliefs that could have led to that output. But, as the reasoning applied by the human is likely to differ from that of the AI system, such inference is not guaranteed to be an accurate reflection of how the AI system reached its decision. To this end, more work is required to allow interactive explanation to be developed (so that the human is able to define and test the inferences and compare these with the AI system’s reasoning).
IRRIGATION WITH SALINE WATER AND SILICATE FERTILIZATION IN THE CULTIVATION OF ‘GIGANTE AMARELO’ PASSION FRUIT1 2

The Brazilian Northeast region suffers from some abiotic stresses that are responsible for the loss of agricultural production, such as long drought periods and high evapotranspiration, associated with the quality of the water, which induces the use of saline water as an alternative for the expansion of irrigated areas, and silicate fertilization contributes to reduce the effects of salinity under the Northeastern semi-arid conditions. The objective of this study was to evaluate the osmotic potential and physiological indices of yellow passion fruit seedlings under irrigation water salinity and silicate fertilization. The experiment was carried out under greenhouse conditions at the Federal University of Campina Grande, Pombal-PB, Brazil, in a randomized block design in a 5 x 5 factorial scheme, relative to five levels of electrical conductivity of irrigation water ECw (0.3; 1.0; 1.7; 2.4 and 3.1 dS m) and five doses of silicate fertilization (0; 25; 50; 75 and 100 g silicon per plant) in four replicates and two plants per plot. The application of 50, 75 and 100 g silicon per plant reduced the osmotic potential in the leaf tissues of ‘Gigante Amarelo’ passion fruit plants. Water salinity lower than 1.3 dS m resulted in an increase in chlorophyll b content; increase in carotenoid content was observed in plants subjected to silicon doses of 25 and 100 g per plant. Salinity levels above 1.1 dS m compromised the performance of photosystem II of passion fruit plants when subjected to silicon doses.
ELECTRIC CURRENT; A BETTER ALTERNATE COMPARED TO EDTA IN RAPID ACCUMULATION OF HEAVY METAL IN TAGETES ERECTA

Electrokinetic remediation is an innovative technique to clean spiked soils, in the experiment undertaken effect of current and chemical chelators have been studied and discussed on marigold in potted plants, 15 d(days) old plant were transferred to pots followed up by discrete treatment with 3 milimolar(mM) ethylenediaminetetra acetic acid (EDTA) and electric current. Increasing voltage of DC current (i.e. 1V, 2V, 3V and 4V) was applied for 15 min (minute) for 30 days (d). The findings unveiled that the shoot of physically amended plant was capable of accumulating higher values of metal on 30thd initially, however on 45thd the accumulation was almost same for chemically and physically amended plants. The faster accumulation of heavy metal was aided by the intermediate values of current which helped the plant to withdraw maximum heavy metal on 30th(d) day which proves electrokinetic remediation to be a rapid and better alternative compared to EDTA which shows retarded remediation initially because of damage caused by it to the root hair and has potential threat to contaminate the underground water due to leaching of heavy metals.
Evaluation of Anti-Psoriatic Effects of Ellagic Acid on Imiquimod Induced Psoriatic-Like Dermatitis in Mice

Ellagic acid is polyphenolic compound which is present in many fruits. Many pharmacological properties of Ellagic acid have been reviewed and described for many years. Some properties study in animals, while the other have been evaluated in humans including anti-inflammatory, neuroprotective, and Hepatoprotective effects, as well as the protection it provides against diabetes, cardiovascular disease, and cancer. In this study we investigated the effect of Ellagic acid on induced psoriatic-like dermatitis in mice. In this study, 50 mice were involved, divided into 5 groups (10 group of each). Except Group I (healthy), all group received Imiquimod for psoriasis induction during all days of experiment. Group II Induced and without treatment and the other groups III, IV and V were induced and treated twice daily with wool fat, 0.05% Clobetasol propionate, 5% Ellagic acid respectively, from day 7 until the end of experiment. The result showed that Ellagic acid has anti-psoriatic effect by significant decreasing the PASI score and ameliorating the histological changes that induced by IMQ and by significant decreasing the concentration of skin TNF-alpha as compared to induced group (II), and also significant decreasing the concentration of skin VEGF and pJAK3 as compared to induced group II and vehicle group III. In conclusion, the therapeutic effect of Ellagic acid against Imiquimod-induced psoriasis probably through mechanistic pathway involved anti-inflammatory, anti-proliferative and anti-angiogenesis effect.
Frequency Scaling for High Performance of Low-End Pipelined Processors

Frequency Scaling for High Performance of Low-End Pipelined Processors Athanasios Tziouvaras*,1, Georgios Dimitriou2, Michael Dossis3, Georgios Stamoulis1 1Department of Computer Engineering, University of Thessaly, Volos, 38221, Greece 2Department of Computer Science, University of Thessaly, Lamia, 35100, Greece 3Department of Computer Science, University of Western Macedonia, Kastoria, 52100, Greece
FARM OPERATORS’ BEHAVIOURAL INTENTION TOWARDS SYNTHESIS PESTICIDE PURCHASE IN MALAYSIA

This paper analyses factors influencing Malaysian farm operators’ behavioural intention towards synthesis pesticide purchase. The research framework proposed was empirically tested using data collected from 118 farm operators in Malaysia. The result from the finding suggested that supplier’s flexibility is significantly and positively affect Malaysia farm operators’ behavioural intention towards synthesis pesticide purchase. Meanwhile, the routine purchase is significantly but negatively affecting Malaysia farm operators’ behavioural intention towards synthesis pesticide purchase. However, the trust did not serve any moderating effect between independent variables and the dependent variable. The result of this study allows authorities such as the Department of Agriculture and the Pesticide Board of Malaysia to have better clarity in strategised their resources to counter the illegal pesticide issue. Marketing practitioners from the agrochemical company would benefit from this result to align their marketing strategy for their pesticide based on farm operators’ behavioural intention of purchase.
Influence Marketing Communication and Consumer Motivation to Buying Decision through Trust Perception as Mediation Variable in Pt. Busur

This research aims to know influence marketing communication to a consumer buying decision, influence consumer motivation to a consumer buying decision, influence trust perception to buying decision, influence marketing communication to trust perception, influence consumer motivation to trust perception, influence marketing communication to buy decision through trust perception, influence consumer motivation to purchase decision through trust perception. This research is done in PT. Busur Cahaya Persada, which implied 55 consumers. Besides that, data is analyzed with path analysis, which used t analysis. Based on path analysis is implied that marketing communication influence consumer buying decision. Consumer motivation influences a consumer buying decision. Trust perception influence consumer buying decision. Marketing communication influences to trust perception. Consumer motivation influences to trust perception. The value of marketing communication on buying decisions is as significant as 0,389; the impact of marketing communication on purchase decisions through trust perception is 0,528 x 0,830=0,438. This indirect effect is more significant than the direct effects or other hands that trust perception can be bigger influenced by marketing communication to buying decision as big as 0,4380,389=4,9 %. In this case, it can be said that trust perception is an intervening variable. The value of the influencing factor influencing consumer motivation to buy decisions is as big as 0,570. Besides, the influence of consumer motivation on buying decisions through trust perception is 0,732 x 0,830=0,608. This indirect effect is bigger than the direct effect or another hand that trust perception can be a bigger influence on consumer motivation to buy a decision as big as 0,6080,570=3,8 %. In this case, it can be said that trust perception is an intervening variable.
Interesting Video Frames Capturing on Digital Video Development Platform

Video surveillance has been a popular security tool for years. Video surveillance systems produce huge amounts of data for storage and display. Long-term human monitoring of the acquired video is impractical and in-effective. This paper presents a novel solution for real-time cases that identify and record only “interesting” video frames containing motion. In addition to traditional methods for compressing individual video images, we could identify and record only “interesting” video images, such as those images with significant amounts of motion in the field of view. The model would be built in simulink, one of tools in matlab and incorporated with davinci code processor, a video processor. That could significantly help reduce the data rates for surveillance-specific applications. Keywords— Code Composer Studio (CCS), MATLAB, Digital video development hardware.
Pharmacognostic studies and anatomical peculiarities in medicinal plant Enicostemma axillare

Abstract. Mulani RM, Dhawle KS, Dhuldhaj UP. 2021. Pharmacognostic studies and anatomical peculiarities in medicinal plant, as Enicostemma axillare. Asian J Ethnobiol 4: 23-30. Pharmacognostic evaluations were carried out by plant material collection, preparation of herbarium; organoleptic properties, macroscopic characters, microscopic characteristics. For the physiological studies Transverse Sections (T.S.) of root, stem and leaves were taken and also powder analysis, physicochemical value determination such as total ash, water-soluble ash, acid-soluble and acid-insoluble ash were done. The distinguishing characters of Enicostemma axillare (Poir. ex Lam.) A. Raynal stem is the presence of parenchyma. Leaves microscopy indicates presence of anisocytic stomata, minor leaf veins, phloem transfer cells and numerous sclereids. Macroscopic study shows leaves and roots with glabrous-surface, and stem was tall simple to branch and maybe prostrate or ascending. Color variation indicates presence of different types of components and essential oils; determined the percentage of leaf, stem and root: ash values; water-soluble, acid-soluble and acid-insoluble ash values. This study provides anatomical properties for the proper identification and establishment of standards of E. axillare for the medicinal applications to treat diabetes mellitus, rheumatism, abdominal ulcers, hernia, swelling, itching, and insect poisoning. This helps in pharmacognostical standardization of drugs in crude form and also to differentiate them from adulterations.
Procesamiento de video usando Apache Hadoop con OpenCV y JavaCV para reconocimiento facial Video processing using Apache Hadoop with OpenCV and JavaCV to face recognition

— This paper proposes a low-cost computing solution, to perform video analysis to identification of people making use of open source technology such as Apache Hadoop and OpenCV and JavaCV libraries. These tools enable the analysis, detection and face recognition, from videos hosted on a database, fueled not only by the ECU-911 cameras, but also by all security cameras are installed in public and private establishments in Ecuador. The speed to process this huge volume of information depend on the implemented for running the MapReduce nodes. In addition, the fields of application for this interconnected system of video.
University of Southern Denmark Impact of Bedside Gastric Ultrasonography in the Daily Routine of Anesthesiology

Background: Pulmonary aspiration is a serious complication of anesthesia. For prevention, fasting guidelines have been made, but they do not apply to acute patients or patients with certain conditions. In addition to known prevention, gastric ultrasonography is believed to help to quantify the amount of gastric content and predict the risk for pulmonary aspiration. In this study, changes in anesthesia procedure after gastric ultrasound were investigated. Aims: To investigate if the use of preoperative gastric ultrasound in the normal daily routine has consequences for how we anesthetise our patients. To contribute to creating recommendations for indications of gastric ultrasound. Methods: In an observational study 96 preand postoperative patients were gastric ultrasound scanned in order to evaluate their gastric content before urgent and elective surgery and before transfer from the Recovery Unit to the General Ward. On a standardised sheet, the amount and texture of the gastric content was registered and the risk for pulmonary aspiration was predicted. Every change in anesthesia strategy was documented. Results: The examination found 16 patients (18%) with an amount of gastric content corresponding to a high risk of pulmonary aspiration even in elective, non-risk patients. The anesthetic management for 23 patients (25%) was changed after gastric ultrasound. None of the investigated patients had pulmonary aspiration. Conclusion: Gastric ultrasound may be a valuable tool to help to investigate aspiration risk in order to plan the best anesthetic management for every patient. ISSN 2639-846X Research Article Citation: Hamann Hauke, Jensen Hanne I, Kuhn Jacob, et al. Impact of Bedside Gastric Ultrasonography in the Daily Routine of Anesthesiology: An Observational Study. Anesth Pain Res. 2020; 4(1): 1-5.
CARDIOVASCULAR DISEASES AND PREVENTION

Cardiovascular diseases (CVDs) that consist of stroke, heart attack and other numerous cardiac and vascular conditions are the leading global cause of premature mortality and an important factor, which decreases quality of life (GBD 2017, Kumar et al. 2009). CVDs are actually a collection of diseases affecting the heart, blood vessels of the heart and the brain. In 2017, 18.8 million people died from CVDs worldwide (GBD 2017). According to the data of the Turkish Statistical Institute (TSI), CVDs was the leading cause of deaths in Turkey in 2016, accounting for 39.8% of all deaths (TSI 2016). According to the data reported by the Turkish Study of the Incidence of Chronic Diseases and Risk Factors (TKrHRF), the incidence of CVDs was found as 3.8% in men and 2.3% in women, but this rate raised up to 19.6% in men and 10.8% in women aged over 75 years (Unal and Ergor 2013). It is estimated that by 2030 annual medical costs associated with CVDs will rise to 1,044 USD (Mozaffarian et al. 2016) The consequences of these diseases are even worse in the developing countries (WHO 2004). According to the World Health Organization (WHO), over three quarters of deaths from CVDs occurs in lowand middle income countries (WHO 2017). Many types of CVDs occur as a complication of atherosclerosis.
Coverage Improving with Energy Efficient in Wireless Sensor Networks

Wireless sensor networks (WSNs) are formed by numerous sensors nodes that are able to sense different environmental phenomena and to transfer the collected data to the sink. The coverage of a network is one of the main discussion and one of the parameters of service quality in WSNs. In most of the applications, the sensor nodes are scattered in the environment randomly that causes the density of the nodes to be high in some regions and low in some other regions. In this case, some regions are not covered with any nodes of the network that are called covering holes. Moreover, creating some regions with high density causes extra overlapping and consequently the consumption of energy increases in the network and life of the network decreases. The proposed approach causes an increase in life of the network and an increase in it through careful selection of the most appropriate approach as cluster head node and form clusters with a maximum length of two steps and selecting some nodes as redundancy nodes in order to cover the created holes in the network. The proposed scheme is simulated using MATLAB software. The function of the suggested approach will be compared with Learning Automata based Energy Efficient Coverage protocol (LAEEC) approach either. Simulation results shows that the function of the suggested approach is better than LAEEC considering the parameters such as average of the active nodes, average remaining energy in nodes, percent of network coverage and number of control packets.
Teachers’ Involvement in the Planning and Development of National Curriculum for Basic Education in Namibia

1.Introduction . 1 1.1 Background . 1 1.2 Significance of the research . 6 2.Curriculum as a guiding document and teachers ́ involvement. 8 2.1 Curriculum development and teachers ́ involvement . 9 2.1.1 Curriculum Planning . 10 2.1.2 Curriculum Development . 11 2.1. 3 Curriculum Implementation . 12 2.1. 4 Curriculum Evaluation . 12 2.2 Different approaches to curriculum and involvement of teachers . 13 2.2.1 Top-down (Centralised model) . 14 2.2.3 Bottom-up (Decentralised model) . 17 2.2.4 Mixed (Top down-bottom up) approach . 20 2.3 Types of Curriculum and teachers ́ involvement . 21 2.4 Teachers’ involvement in curriculum development and their professional development. 22 3.Summary of literature review . 26 4.Research task and research questions . 29 5.Methodology. 31 5.1. Research design: Qualitative study . 31 5.2. Research paradigm: Interpretivism . 31 5.3. Research strategy: A case study . 33 5.4. Sampling . 34 5.5. Semi-structured interviews as data collection method . 35 5.6. Data collection process. 36 5.7. Data analysis . 39 5.8. Ethical Issues . 42 5.9 Validity . 42 5.10 Summary of Methodology . 43 6.Results and Discussion. 46 6.1 Namibian teachers ́ perceptions about their involvement in the planning and development of curriculum . 46
Learning Theories in the context of teaching Law

The following is a reflective case study on common approaches to teaching Law in higher education, and how these may be informed by learning theories. The paper looks specifically at Social Learning Theory, Constructivism and Cognitive Load Theory. Following a critique of certain practices, suggestions are made to encourage further evolution of methods relevant to teaching problem-solving skills to Law students at undergraduate level.
COVID-19 and school food: The impact of the early stages of the coronavirus pandemic on student nutrition programs in Ontario

This paper is an exploration of the impact of the early stages of the COVID-19 pandemic on emer­gency food supply to school-aged children in Ontario, Canada. Using surveys in the framework of a bounded qualitative case study, we investigate how Student Nutrition Program (SNP) support staff have responded to the changed circumstances of the pandemic. Results indicate that program support staff were able to shift the SNP’s focus from universal access in-school nutrition programs to targeted food security initiatives for families. This shift was possible due to the complex web of relationships within which SNPs in Ontario oper­ate. Additional data and findings are discussed in the article, relating to the prepandemic operation of SNPs, how programs have been affected, and the concerns of SNP support staff about future issues as the programs restart in the new school year under pandemic conditions.
Indonesian Music Emotion Recognition Based on Audio with Deep Learning Approach

Music Emotion Recognition (MER) is a study to recognize emotion in a music or song. MER is still challenging in the music world since recognizing emotion in music is affected by several features; audio is one of them. This paper uses a deep learning approach for MER, specifically Convolutional Neural Network (CNN) and Convolutional Recurrent Neural Network (CRNN) with 361 Indonesian songs as the dataset. The music is classified into three main emotion groups: positive, neutral, and negative. This paper demonstrates that the best model for MER on Indonesian music is CRNN with the accuracy of 58.33%, outperforming that achieved by CNN.