Miracle-dz/UniFAR-FTUs huggingface dataset:
PRIVACY PRESERVATION MECHANISM USING CLUSTERING TECHNIQUES ON HADOOP

— Clustering systems have been widely received in numerous genuine information research applications, for example, customer behavior research, targeted display, advanced criminology, etc. With the information explosion in today's huge reporting period, a significant pattern for dealing with clustering into huge-scale data sets is the reappropriation of the open cloud stages. This is because distributed computing offers solid administrations with execution guarantees, but also investment funds in internal IT bases. Be that as it may, given that the data sets used for clustering may contain sensitive data, for example persistent wellness data, business information and social information, etc., A useful protection that safeguards the K-means cluster plan that can be productively reassigned to cloud servers. Plan enables cloud servers to legitimately group on encoded data sets, while achieving equivalent computational unpredictability and proven accuracy and grouping on decoded ones. Also, explore the safe combination of MapReduce in the plan, which makes the plan very appropriate for distributed computing conditions. A thorough safety investigation and numerical examination complete the presentation of the plan regarding safety and competition. Exploratory evaluation of a data set of 5 million items further supports the useful execution of the plan.
Liberal Feminism in Ika Natassa’s Novel Critical Eleven

This study aimed to reveal the liberal feminism in Ika Natassa’s novel, Critical Eleven. This study applied liberal feminism as proposed by Lewis (2018) who claims that liberal feminism focuses on the issues of woman’s equality in the workplace, education and political rights. This study used qualitative methods since it involved the characteristics of qualitative procedures of analysis (Creswell, 2009). The main data were collected from the novel, and the supporting data were taken from books, journals and websites dealing with the subject matter of this research. Therefore, this study is categorized as a library research study as is noted by Herbert (1990: 18) who claims that a library research study is research to collect ideas and theories and to report empirical data within scholarship in the library. The research results show that of the three issues foccused on in liberal feminism as proposed by Lewis (2018), those of woman’s equality in the workplace and education are vividly reflected in the novel by the character named Anya who had a prestigious education (she is a Georgetown University graduate) and also has a good career as a management consultant. Equality in political rights is not found in the novel. Keywords: Feminism, Liberal Feminism, Women, Equality in Education, Equality in the Workplace
Investigating Explanations that Target Training Data

To promote transparency in black-box machine learning systems, different explanation approaches have been developed and discussed in the literature. However, training dataset information is rarely communicated in these explanations despite the utmost importance of training data to a system trained with machine learning techniques. We investigated explanations that focus on communicating training dataset information to end-users in our work. In this position paper, we discuss our prototype explanations and highlight findings from our user studies. We also discuss open questions and interesting directions for future research.
Trends in sociodemographic and lifestyle factors associated with sedentary behavior among Brazilian adults.

OBJECTIVE To analyze sociodemographic and lifestyle factors associated with screen-based sedentary behavior (watching television ≥ 3 hours/day) among adult individuals in Brazil. METHODS Quantitative analysis of ten editions of the cross-sectional health survey VIGITEL, representative at the population level. Individuals from states' capitals living in households with land-line telephone were randomly selected and interviewed with a structured questionnaire, through the telephone. A multivariate logistic regression model was estimated for identification of factors associated with screen-based sedentary behavior. RESULTS There was stability in trends referring to prevalence of sedentary behavior from 2008 to 2017. Prevalence of sedentary behavior was higher between individuals with unhealthier lifestyles: consumption of < two in natura food items (vegetables, fruits, and beans) per day (26.73% [95%CI 25.2 - 28.31]) in comparison with ≥ two items per day (23.79% [95%CI 21.92 - 25.77]); consumption of soft drinks ≥ five days per week (31.24% [95%CI 29.58 - 32.95]) than < five days per week (23.82% [95%CI 22.2 - 25.52]); and practice of < 150 minutes of physical activity per week (28.2% [95%CI 26.17 - 30.33]) than ≥ 150 minutes per week (22.54% [95%CI 21.27 - 23.86]). Regular consumption of in natura food items (OR = 0.984), practice of physical activity (OR = 0.798), and living in richer municipality (OR = 0.826) represented protective factors in relation to screen-based sedentary behavior, whilst regular consumption of soft drinks (OR = 1.440), smoking (OR = 1.375) and alcohol abuse (OR = 1.334) represented risk factors. CONCLUSION The adoption of screen-based sedentary behavior among adult individuals in Brazil presented significant association with modifiable behavioral factors in the period 2008-2017.
Interaction of silicone hydrogel contact lenses with lipids – a chronological review

Co p y r i g h t © M e d i c a l E d u c a t i o n ABSTRACT Silicone hydrogel (SiHy) contact lenses are a common form of correction of refractive errors prescribed by eye care professionals around the world. SiHy lenses perform in a complex environment, which is the surface of the eye and the tear film. Therefore, they are exposed to various factors, such as lipid deposits. The aims of this paper are to review available scientific reports on the study of SiHy lens interactions with lipids and search for further research objectives. A total of 57 publications were identified and reviewed, from 2003 to 2020. In general, SiHy lenses are more likely to accumulate lipid deposits than traditional hydrogel lenses, although there are significant differences between SiHy lens materials that may result from different methods used in the studies. The review includes studies on various aspects of interactions between lenses and lipids, such as those concerning the effectiveness of lipids removal from lenses by care solutions. The conclusion points out future research directions, such as measurements of lipid diffusion in SiHy lens' matrices.
Antioxidant Activities of Powdered and Ultra-fine Powdered Ulmus Davidiana var. Japonica

The antioxidant activity was examined on ultra-fine powdered (UFP) Ulmus davidiana (U. davidiana) var. japonica. The average particle size of UFP or commercial powdered (CP) was 1-3 μm or 100 μm. The extraction was performed using either ethanol (EtOH) or hot-water. Contents of phenolic compound of CP and UFP U. davidiana extracts in EtOH was 40.38 and 65.61 mg/g, respectively. In DPPH, EtOH extract of UFP U. davidiana showed a significantly greater activity than hot-water extract at 40 and 200 μg/mL. At 200 μg/mL, the activity was over 90% in all groups. The reducing power of UFP U. davidiana var. japonica in EtOH extraction was 74.3%, which was significantly greater than in other samples (p<0.05). In addition, reducing powder was significantly higher in UFP-EtOH than in other samples at all concentrations except for 0.32 μg/mL. The above results suggest that EtOH extraction of U. davidiana showed slightly higher DPPH radical scavenging activity, and ultra-fine powder of U. davidiana extracts may show higher antioxidative activities based on reducing power.
Knowledge, attitude and uptake of mammography among female health workers in two tertiary health facilities of Sokoto state, Nigeria

Background: Globally, breast cancer is the most common cancer in women and early detection remains the cornerstone of breast cancer control in terms of outcome and survival. Female health care workers, being frontline healthcare providers, often come in contact with patients and their relatives and can disseminate accurate mammography information. This study thus aimed to determine the knowledge, attitude and uptake of mammography among female health workers working in two tertiary health care facilities in Sokoto state, Nigeria. Methods: The study was cross sectional in nature. Using formula for estimating sample size for cross-sectional studies, a sample size of 209 was obtained. All female health care workers were eligible to participate in the study. Systematic sampling was used to recruit them into the study. A self-administered questionnaire was used for data collection. Data was subsequently entered into IBM statistical software package version 20. Descriptive and inferential analysis was performed All statistical tests were carried out using 2 tailed test with alpha set at 0.05. Results: Less than a fifth of the respondents knew the age screening mammography end if no breast problem is detected, less than half (44.4%) of the respondents knew how frequent a screening mammography be obtained after the age of 40 years. Less than a tenth (7.9%) of the respondents had ever had mammography done. Conclusions: Majority of our study participants had good overall mammography related knowledge, most of them demonstrated positive attitude towards mammography, the uptake of mammography in our study population was very low.
CLUSTER BASED ROUTING PROTOCOLS IN WSN SENSOR

Over the past few years we can observe the WSNs or Wireless Sensor Network applications in various fields increasing immensely. The energy efficiency, network lifetime and clustering process prime goal is the working network's optimization is the focus of many of the routing algorithm. Keeping in mind the network homogeneity, for network performance reinforcement we suggest instead of single path to use multiple paths. For WSNs, Reinforcement Intelligence Routing Protocol (RIRP)[1]. In the multihop wireless sensor networks an efficient and effective method for security improvements local monitoring has worked well [2]. But taking in consideration the power consumption in the current practice of local monitoring is costly. For ensuring long-lived operations in the sensor network reinforcement intelligent routing protocol is critical [3]. For ensuring both the aspects improvement in security and long-lived operations, the development of mechanism that is effective and incorporated with the Reinforcement protocol is an open problem. With the help of local monitoring to solve this issue, section of the traffic going in and out of its neighbors is supervised by each node to keep a check on any suspicious behavior like unlikely long delays in packet forwarding [4]. To integrate the existing reinforcement protocol of the network and without any niggardly in the consumption of energy in the local monitoring with the help of a protocol [5]. In comparison to other protocols in this protocol the region of instability starts later. At a constant rate the nodes of the RIRP or Reinforcement Intelligent Routing Protocol dies. Few problems such as cluster head selection process, network lifetime and network stability are evaluated and worked in the technique proposed here [6]. To reduce the overload consumption as much as possible the nodes switches in between the active and sleep mode.
Effect of Some Plant Parts Powder on Obesity Complications of Obese Rats

The present study aims to investigate the effectiveness of some plant parts powder on obesity complications induced in experimental animals. Thirty male albino rats (150 ± 10g), were divided into two main groups, the first group (6 rats) still fed on basal diet and the other main group (contained 25 rats classified into five sub groups as follow: Group (2) fed on DIO (diet induced obesity) as a positive control; groups ( from 3 to 6) fed on DIO containing 5% cauliflower leaves powder (CLP), mulberry leaves powder (MLP), pomegranates peel powder (PPP) and their mixture, respectively. The results stated that feeding on DIO leads to increase the BWG than the control group. At the end of the experiment (8 weeks), rats of the obese group recorded increasing rate 53.75 % of baseline. Replacement of carbohydrates diet with CLP, MLP, PPP and their mixture induced significant decreasing on BWG of the obese rats which recorded 31.26, 20.98, 7.49 and 5.68% of baseline, respectively. Biochemical analysis data indicated that obesity induced a significant increase in liver functions (28.99%, 30.82% and 29.61%U/L) as AST, ALT and ALP respectively. For serum lipid profile recorded (38 % mg/dlTG, 33.71 % mg/dl TC, 82.98 %mg/dl LDL-c and 38 % mg/dl VLDL,), serum glucose (29.91%) and MDA (Malonaldehyde, biomarker of serum lipid oxidation, 23.96 %) compared to normal control. Feeding on 5% of CLP, MLP, PPP and their mixture exhibited a significant improvement (p≤0.05) in all of these parameters by different rates. The higher amelioration effects were recorded for the plant parts mixtures treatment followed by PPP, MLP and CLP.In conclusion, the present study has demonstrated the potency of plant parts including CLP, MLP, PPP and their mixture to ameliorate liver disorder and hyperglycemia in obese rats. Furthermore,CLP, MLP, PPP and their mixture lowered serum lipid peroxidation (malonaldehyde, MDA) levels and inflammatory stress in liver. These findings provide a basis for the use of CLP, MLP, PPP and their mixture for the prevention and early treatment of obesity and its complications.
Accelerating Charged Single α -helix Detection on FPGA

—Novel biological sequences are determined at an extreme pace producing a huge amount of data each day. Implementing and speeding up the bioinformatics algorithms, which need very fast and accurate results, is the main advantage of reconﬁgurable architectures like Field-Programmable Gate Array (FPGA), in addition to the low precision input data for these kinds of algorithms, which can be stored in 2-5 bits. Detecting structural motifs such as Charged Single α -Helixes (CSAH) is a computationally intensive task which can be accelerated by using FPGA. The goal of our research is to further improve the processing speed of our algorithm called FT CHARGE to analyze large databases in a reasonable time. Using the largest state-of-the-art FPGA devices, either the number of processing units or the parallelism inside the processing units can be increased. In this paper, we provide details and compare the two design approaches in terms of speed, implementation and accuracy. We propose a new architecture that can perform search for CSAH 32 times faster compared to our previous FPGA implementation.
Modelling and Forecasting Volatility on Electric Power Exchange SEEPEX

SEEPEX a.d. Beograd is a licensed operator in an organised electricity market launched early in 2016. Clearly, SEEPEX is a very young power exchange in the early stages of development, making the time series required for an analysis of trade and overall market performance rather short. The authors studied trade data available between the birth of SEEPEX and the end of 2019, which is a long enough period to draw conclusions as to the possibility of predicting volatility and the price of power traded on SEEPEX in the observed period.
The Effects of SCAMPER Technique Activities in the 8th Grade Simple Machines Unit on Students’ Academic Achievement, Motivation and Attitude towards Science Lessons

This study examines the effects of the SCAMPER technique-based educational activities in the simple machines unit of a science lesson on students' academic achievement, motivation and attitude. The study examines the effects of the simple machines unit activities in the science lesson through a paired quasi-experimental design, which is one of the quantitative research methods. The sample group of the research consists of 33 eighth-grade students studying in a middle school in the Ortaköy district of the Aksaray province in 2018–2019. The research uses simple random sampling method. The experimental group was given SCAMPERbased activities in the simple machines unit for 4 hours a week with a total of 16 hours, and lessons were conducted with the control group in line with the curriculum. To collect data within the framework of the research, the 'attitude scale towards science lesson', scale for 'students' motivation towards science learning' and 'simple machines unit achievement test' were used. As a result, when compared to the control group, there was a significant difference in the academic achievement and motivation of the experimental group who performed SCAMPER-based activities in the simple machines unit of the science lesson. There was no significant difference between the attitude scores of the experimental and control group as a result of the study.
AGRIBUSINESS INSTITUTIONS IN THE PANDEMIC TIME COVID -19: A LESS CONTACT ECONOMIC APPROACH

Business construction in the era of the global covid-19 pandemic has definitely changed. The reduction of physical contact is the most demanding health protocol. For the agricultural or agribusiness industry, this certainly reduces business performance significantly. The study aims to identify agribusiness institutions in the era of the Covid-19 pandemic. The research method uses descriptive qualitative methods to describe the institutional and agro-business development models in the current pandemic era. Primary data obtained from various literature are representative and describe the actual condition. The results showed that the role of a synergistic institution is needed in every agribusiness subsystem, to help solve problems at the farm, marketing and agro-industry levels. A technological approach to digital marketing is needed as a form of modification of agribusiness institutions at this time.
Coping with Burnout Symptoms through Task Significance in Professionals Working with Individuals with Intellectual Disability

This study examined an intervention that links task significance (one’s job has a positive impact on other people) to burnout symptoms of professionals working in organizations for individuals with intellectual disability. Professionals assigned to the experimental condition participated in teams designed to enhance the positive impact of their work on others (task significance). To do so, teams focused on a task to improve the quality of life of individuals with intellectual disability. Professionals assigned to the control condition did not participate in these teams, and they continued with their usual work. All the participating professionals answered a questionnaire about burnout before and after the intervention. Mixed ANOVA indicated that professionals who participated in teams reduced their exhaustion symptoms (comparing pre vs. post intervention scores) and kept their cynicism levels stable. Professionals assigned to the control condition increased their cynicism symptoms. We conclude with a discussion of theoretical and practical implications.
The Role of Trust on Perceived Usefulness and Perceived Ease of Use toward Purchase Intention among Yogyakarta’s Students

Penelitian ini bertujuan untuk memahami pengaruh review konsumen online terhadap kepercayaan konsumen dan niat membeli. Variabel yang terlibat dalam makalah ini adalah persepsi kegunaan, persepsi kemudahan penggunaan, kepercayaan, dan niat membeli. Sebanyak 210 tanggapan dari kuesioner yang dibagikan diperoleh dari siswa yang telah memiliki pengalaman belanja online sebelumnya dan tinggal di Yogyakarta, Indonesia. Pengumpulan data menggunakan metode purposive sampling. Analisis data menggunakan metode analisis Structural Equation Modeling (SEM) dengan bantuan software PLS. Temuan dari penelitian ini adalah kepercayaan konsumen dan niat mereka untuk berbelanja online secara positif dan signifikan dipengaruhi oleh persepsi kegunaan dan persepsi kemudahan penggunaan OCR. Jelas, atribut OCR tersebut terkait dengan perkembangan lingkungan belanja, yang akibatnya dapat memengaruhi penjualan.
Pegfilgrastim-induced leukocytosis and hyperleukocytosis

Objective: To report a case of leukocytosis (LCT) and hyperleukocytosis (HLCT) episodes post Pegfilgrastim (Neulasta) administration. Case Summary: A 74-year-old female presented with several episodes of LCT and HLCT following administration of Pegfilgrastim while undergoing adjunct dose dependent chemotherapy for adenocarcinoma of the gallbladder. The patient had completed cycle 6, day 8 of chemotherapy and subsequently received Neulasta 48 hours later. Two days later, she presented to the ER with white blood cell (WBC) count of 110K. Prior to Neulasta administration, her WBC counts were within normal range and after each episode of leukocytosis, the patient’s WBC count trended downward. Upon consultation, hematology considered Pegfilgrastim as a likely cause for this patient’s WBC cycling and HLCT. Discussion: Pegfilgrastim-induced HLCT occurs in less than 1% of patient cases. Dose-dependent chemotherapy combined with Pegfilgrastim treatment is an optimal treatment option to reduce the length of chemotherapy schedules and risk of febrile neutropenia. Following the dosing of Pegfilgrastim, the drug clearance is mediated by neutrophil receptors which results in a reduction of ANC values. Conclusions: Further studies are needed to determine the optimum timing and dosage of Pegfilgrastim to offer maximum myeloprotective benefit while also minimizing the risks of adverse events such as leukocytosis and hyperleukocytosis experienced
Crop yield prediction using multi-parametric deep neural networks

Objective: To propose Multi-parametric Deep Neural Network (MDNN) for modeling the impact of climate changes, multiple parameters related to the weather and soil for accurate crop yield prediction. Methods: In MDNN, a measure called Growing-Degree Day (GDD) is introduced for measuring the overall effect of weather conditions related to the crop yield. One of the key elements in MDNN is the neuron’s layer-wise activation function. In order to enhance the crop yield predictive performance, a leaky rectified linear unit is used in the activation units of MDNN. For the analysis of performance of DNN and MDNN, data about weather, crop and soil are collected from http://www.ccafs-climate.org/climatewizard/, https://data.world/thatzprem/agriculture-india and https://data.gov. in/search/site? query=soil respectively. From the collected data, 60000 records are used for training and 40,000 records are used for testing. Findings: By considering multiple parameters of climate and the effect of weather on crop yield, the accuracy of MDNN is improved for predicting the crop yield. The effectiveness of MDNN is tested and compared with DNN for different types of crops. The MDNN achieves 91.84% of mean accuracy for five different crops compared to the DNN classification. Novelty: This proposed work tries to predict the crop yield more accurately by analyzing the climate, weather and soil parameters. The MDNN considerably improves statistical efficiency over typical DNN by using previous knowledge about important phenomena and functional forms relating them to the crop yield. Keywords: Crop yield prediction; machine learning; DNN; climatic changes; soil parameters; growing degree-day