bluuebunny/crossref_metadata_2025 huggingface dataset:
SENYAWA BIOAKTIF PADA ACORUS CALAMUS (L.) DAN PEMANFAATANNYA SEBAGAI OBAT KANKER DAN ANTIMIKROBA
Authors: Silalahi Marina
Published: October 2019

ABSTRACT

Jerango (Acorus calamus L.) or also known as the sweet flag is a species in the Acoraceae which used as medicine. This article aims to reveal the relationship of secondary metabolites contained of the A. calamus with its use as a cure for cancer and anti microbial. This article is based on offline and online media literature. Offline literature used the books, whereas online media used Web, Scopus, Pubmed, and scientific journals. Acorus calamus is an aromatic plant containing the essential oils, especially asarone. The local community Indonesian has long been exploited the Acorus calamus to cure fever, malnutrition, and postpartum mothers. The essential oil of the A. calamus inhibits of microbial growth (bacteria, fungi and yeasts) and inhibits cell growth. The A. calamus is potentially developed as a cancer drug, but its toxicity needs to be further investigated.Key Words: Acorus calamus, asaron, anti cancer, anti microbial.

ABSTRAK

Jerango (Acorus calamus L.) atau yang dikenal juga sebagai sweet flag merupakan salah jenis dalam famili Acoraceae yang dimanfaatkan sebagai obat. Artikel ini bertujuan untuk mengungkapkan hubungan metabolit sekunder yang dikandung A. calamus denga pemanfaatannya sebagai obat kanker dan anti mikroba. This article is based on literature offline and online media. Offline literature used the books, whereas online media used Web, Scopus, Pubmed, and scientific journals. Acorus calamus merupakan tumbuhan aromatik yang mengandung essensial oil, khususnya asaron. Masyarakat lokal Indonesia Acorus calamus telah lama dimanfaatkan masyarakat lokal Indonesia sebagai obat demam, malnutrisi dan obat ibu pasca melahirkan. Essensial oil A. calamus menghambat pertumbuhan mikroba (bakteri, jamur dan khamir) dan menghambat pertumbuhan sel. Acorus calamus sangat potensial dikembangkan sebagai obat kanker, namun toksisitasnya perlu diteliti lebih lanjut.Kata Kunci: Acorus calamus, asaron, anti kanker, anti mikroba
Effect of Solution Treatment on the Shape Memory Functions of (TiZrHf)50Ni25Co10Cu15 High Entropy Shape Memory Alloy
Authors: Lee Hao-Chen , Chen Yue-Jin , Chen Chih-Hsuan
Published: October 2019

This study investigated the effects of solution treatment at 1000 °C on the transformation behaviors, microstructure, and shape memory functions of a novel (TiZrHf)50Ni25Co10Cu15 high entropy shape memory alloy (HESMA). The solution treatment caused partial dissolution of non-oxygen-stabilized Ti2Ni-like phase. This phenomenon resulted in the increment of (Ti, Zr, Hf) content in the matrix and thus increment of the Ms and Af temperatures. At the same time, the solution treatment induced a high entropy effect and thus increased the degree of lattice distortion, which led to increment of the friction force during martensitic transformation, resulting in a broad transformation temperature range. The dissolution of the Ti2Ni-like phase also improved the functional performance of the HESMA by reducing its brittleness and increasing its strength. The experimental results presented in this study demonstrate that solution treatment is an effective and essential way to improve the functional performance of the HESMA.
A Mixed Uncertainty Power Flow Algorithm-Based Centralized Photovoltaic (PV) Cluster
Authors: Wu Hao , Zhou Lin , Wan Yihao , Liu Qiang , Zhou Siyu
Published: October 2019

With the large-scale centralized PV clusters connected to grid, the grid power flow has certain randomness. Considering the fluctuation of PV output, an improved Krawczyk-Moore algorithm in a mixed coordinate system is proposed to solve the uncertain power flow problem. Firstly, aiming at the special structure of a centralized PV cluster with only load node and no generator node, this paper proposes a power flow calculation in the mixed power flow coordinate, and then the Krawczyk-Moore operator is used to combine interval and affine arithmetic to overcome the shortcoming of over-conservative interval algorithm. Finally, the voltage operating condition under different volatility and different partial shading conditions is studied through the simulation of a practical example, and the out-of-limit voltage problem inside the centralized PV cluster is analyzed. Meanwhile, the effectiveness of the proposed algorithm is verified.
Parental Declaration of Adverse Event Following Immunization in a Cross-Sectional Study in Poland
Authors: Barański Kamil , Gajda Maksymilian , Braczkowska Bogumiła , Kowalska Małgorzata
Published: October 2019

Vaccines are a well-known and effective preventive measure in communicable diseases. However, like any medical product, vaccines can cause some adverse effects. With increasing population awareness, the number of reported events related to vaccination has increased. Aim: The aim of the study was to assess the frequency and type of reported adverse events following childhood immunization (AEFI), and to recognize the determinant of their occurrence related with a socio-demographic situation, parental knowledge, and/or opinions on vaccinations. Material and Methods: The self-administrated questionnaire was distributed to a group of 3000 random parents or legal guardians living in the Silesian Voivodship (the southern part of Poland) in 2016. The response rate was eventually 41.3% from 1239 participants. Both, the number of children and the percentage of vaccinations given in the studied region, was representative for Poland as a whole. Results: Approximately one-third (32%) of surveyed parents declared the occurrence of AEFI in their children. The most frequently declared AEFIs were: redness, pain, swelling at the injection site (27%), and fever (24.9%). The frequency of reported AEFI was associated with a higher level of parental education and the number of vaccinations given. A negative attitude toward vaccination and the belief that vaccination is unsafe were associated with a higher number of reported AEFI. Conclusions: The results obtained confirmed that the number of declared mild and moderate AEFI is related to a lower parental educational level and is associated with a better experience as a consequence of a higher number of vaccinations given. Frequent AEFI reporters represent negative attitudes toward vaccinations. Further investigation with the exact surveillance system is needed to improve parental trust in vaccination safety.
A Longitudinal Study of the Associations of Family Structure with Physical Activity across the Week in Boys and Girls
Authors: Solomon-Moore Emma , Salway Ruth , Emm-Collison Lydia G. , Sebire Simon J. , Thompson Janice L. , Jago Russell
Published: October 2019

The aim of this study was to examine how family structure is associated with moderate-to-vigorous-intensity physical activity (MVPA) for children aged between 6 and 11. At 6, 9 and 11 years, children wore an accelerometer and parents/carers completed questionnaires on demographics and family structure. Linear regression models examined cross-sectional associations between family structure and MVPA at age 9 and 11. Linear multilevel models examined longitudinal associations between age 6 and 11, differences in change over time were examined using interaction terms. No associations between exposures and MVPA were evident at age 9. Compared to boys living in one home, eleven-year-old boys who lived in multiple homes performed 15.99 (2.46–29.52) fewer minutes of MVPA on weekend days. In longitudinal analyses, the evidence was unclear whether the association with family structure changed over time. Models that assumed associations with family structure remained constant over time, found that boys who lived in multiple homes performed 11.02 (0.76–21.28) fewer minutes of MVPA per weekend day, while for each additional sibling, girls performed an extra 1.89 (0.25–3.53) minutes of MVPA per weekend day. Findings indicate a small number of associations, varying in magnitude, between family structure and children’s MVPA. Therefore, families of all structures should be supported to help their children meet MVPA recommendations.
The Role of Glutamine in the Complex Interaction between Gut Microbiota and Health: A Narrative Review
Authors: Perna Simone , Alalwan Tariq A. , Alaali Zahraa , Alnashaba Tahera , Gasparri Clara , Infantino Vittoria , Hammad Layla , Riva Antonella , Petrangolini Giovanna , Allegrini Pietro , Rondanelli Mariangela
Published: October 2019

The scientific literature has demonstrated that glutamine is one of the main beneficial amino acids. It plays an important role in gut microbiota and immunity. This paper provides a critical overview of experimental studies (in vitro, in vivo, and clinical) investigating the efficacy of glutamine and its effect on gut microbiota. As a result of this review, we have summarized that glutamine could affect gut microbiota via different mechanisms including the reduction in the ratio of Firmicutes to Bacteroidetes, with the activation of NF-κB and PI3K-Akt pathways, reducing the intestinal colonization (Eimeria lesions) and bacterial overgrowth or bacterial translocation, increasing the production of secretory immunoglobulin A (SIgA) and immunoglobulin A+ (IgA+) cells in the intestinal lumen, and decreasing asparagine levels. The potential applications of glutamine on gut microbiota include, but are not limited to, the management of obesity, bacterial translocation and community, cytokines profiles, and the management of side effects during post-chemotherapy and constipation periods. Further studies and reviews are needed regarding the effects of glutamine supplementation on other conditions in humans.
WIN55,212-2-Induced Expression of Mir-29b1 Favours the Suppression of Osteosarcoma Cell Migration in a SPARC-Independent Manner
Authors: Notaro Antonietta , Emanuele Sonia , Geraci Fabiana , D’Anneo Antonella , Lauricella Marianna , Calvaruso Giuseppe , Giuliano Michela
Published: October 2019

WIN55,212-2 (WIN) is a synthetic agonist of cannabinoid receptors that displays promising antitumour properties. The aim of this study is to demonstrate that WIN is able to block the migratory ability of osteosarcoma cells and characterize the mechanisms involved. Using wound healing assay and zymography, we showed that WIN affects cell migration and reduces the activity of the metalloproteases MMP2 and MMP9. This effect seemed to be independent of secreted protein acidic and rich in cysteine (SPARC), a matricellular protein involved in tissue remodeling and extracellular matrix deposition. SPARC release was indeed prevented by WIN, and SPARC silencing by RNA interference did not influence the effect of the cannabinoid on cell migration. WIN also increased the release of extracellular vesicles and dramatically upregulated miR-29b1, a key miRNA that modulates cell proliferation and migration. Interestingly, reduced cell migration was observed in stably miR-29b1-transfected cells, similarly to WIN-treated cells. Finally, we show the absence of SPARC in the extracellular vesicles released by osteosarcoma cells and no changes in SPARC level in miR-29b1 overexpressing cells. Overall, these findings suggest that WIN markedly affects cell migration, dependently on miR-29b1 and independently of SPARC, and can thus be considered as a potential innovative therapeutic agent in the treatment of osteosarcoma.
Identification of 15 T Cell Restricted Genes Evaluates T Cell Infiltration of Human Healthy Tissues and Cancers and Shows Prognostic and Predictive Potential
Authors: Cari Luigi , De Rosa Francesca , Petrillo Maria Grazia , Migliorati Graziella , Nocentini Giuseppe , Riccardi Carlo
Published: October 2019

T cell gene signatures are used to evaluate T cell infiltration of non-lymphoid tissues and cancers in both experimental and clinical settings. However, some genes included in the available T cell signatures are not T cell-restricted. Herein, we propose a new human T cell signature that has been developed via a six-step procedure and comprises 15 T cell restricted genes. We demonstrate the new T cell signature, named signature-H, that differs from other gene signatures since it shows higher sensitivity and better predictivity in the evaluation of T cell infiltration in healthy tissues as well as 32 cancers. Further, results from signature-H are highly concordant with the immunohistochemistry methods currently used for assessing the prognosis of neuroblastoma, as demonstrated by the Kaplan–Meier curves of patients ranked by tumor T cell infiltration. Moreover, T cell infiltration levels calculated using signature-H correlate with the risk groups determined by the staging of the neuroblastoma. Finally, multiparametric analysis of tumor-infiltrating T cells based on signature-H let us favorably predict the response of melanoma to the anti-PD-1 antibody nivolumab. These findings suggest that signature-H evaluates T cell infiltration levels of tissues and may be used as a prognostic tool in the precision medicine perspective after appropriate clinical validation.
Preparation of Imitation Basalt Compound Based on Thermodynamic Calculation
Authors: Wang Shaohan , Luo Xian , Jin Huixin
Published: October 2019

In this paper, imitation basalt compounds using red mud, fly ash or coal gangue as raw materials were designed and prepared with the help of thermodynamic calculations. Thermodynamic calculations were used to obtain the suitable chemical composition. Then, the imitation compounds were prepared and their phase/compositions were analyzed. Finally, their high-temperature melting performance and crystallization ability were evaluated. The results show that the characteristic temperature and crystallization ability of the imitation basalt compounds were similar to those of basalt. Moreover, the viscosity of red mud imitation basalt compound approached the viscosity of basalt with the increase in temperature. This work suggests that red mud, fly ash and coal gangue can be mixed with quartz and other source materials to produce imitation basalt fiber. Therefore, thermodynamic calculation is an effective method to design and prepare high-performance imitation basalt compounds.
Machine Learning Models for Abnormality Detection in Musculoskeletal Radiographs
Authors: Chada Govind
Published: October 2019

Increasing radiologist workloads and increasing primary care radiology services make it relevant to explore the use of artificial intelligence (AI) and particularly deep learning to provide diagnostic assistance to radiologists and primary care physicians in improving the quality of patient care. This study investigates new model architectures and deep transfer learning to improve the performance in detecting abnormalities of upper extremities while training with limited data. DenseNet-169, DenseNet-201, and InceptionResNetV2 deep learning models were implemented and evaluated on the humerus and finger radiographs from MURA, a large public dataset of musculoskeletal radiographs. These architectures were selected because of their high recognition accuracy in a benchmark study. The DenseNet-201 and InceptionResNetV2 models, employing deep transfer learning to optimize training on limited data, detected abnormalities in the humerus radiographs with 95% CI accuracies of 83–92% and high sensitivities greater than 0.9, allowing for these models to serve as useful initial screening tools to prioritize studies for expedited review. The performance in the case of finger radiographs was not as promising, possibly due to the limitations of large inter-radiologist variation. It is suggested that the causes of this variation be further explored using machine learning approaches, which may lead to appropriate remediation.
Piezoresistive Sensors Based on Electrospun Mats Modified by 2D Ti3C2Tx MXene
Authors: Sobolčiak Patrik , Tanvir Aisha , Sadasivuni Kishor Kumar , Krupa Igor
Published: October 2019

The preparation methodology and properties of electroconductive, electrospun mats composed of copolyamide 6,10 and Ti3C2Tx are described in this paper. Mats of several compositions were prepared from a solution of n-propanol. The obtained electrospun mats were then tested as piezoresistive sensors. The relative resistance (AR) of the sensor increased with an increase in the Ti3C2Tx content, and materials with relatively higher electrical conductivity displayed noticeably higher sensitivity to applied pressure. The pressure-induced changes in resistivity increased with an increment in the applied force.
Passively Addressable Ultra-Low Volume Sweat Chloride Sensor
Authors: Ganguly Antra , Prasad Shalini
Published: October 2019

This work demonstrates a novel electrochemical biosensor for the detection of chloride ion levels in ultra-low volumes (1–3 microliters) of passively expressed human sweat. We present here a hydration monitor that the pediatric, geriatric, and other immune-compromised or physically inactive/sedentary population cohort can utilize, for whom the current methods of chloride quantification of active stimulation of sweat glands through iontophoresis or treadmill runs are unsuitable. In this work, non-faradaic electroanalysis using gold microelectrodes deposited on a flexible nanoporous substrate, for high nanoscale surface area to volume enhancement, was leveraged to operate in ultra-low sweat volumes of <3 µL eluted at natural rates. The specific chloride ionophore-based affinity of chloride ions resulted in the modulation of charge transfer within the electrical double layer at the electrode–sweat buffer interface, which was transduced using electrochemical impedance spectroscopy (EIS) and chronoamperometry (CA). Linear calibration dose responses with R-squared values of 0.9746 and 0.9403 for EIS and CA respectively were obtained for a dynamic range of 10–100 mM. The surface charge and the binding chemistry of the capture probe were studied using zeta potential studies and UV-Vis. The dynamic sweat chloride-tracking capability of the sensor was evaluated for a duration of 180 min. Studies were conducted to probe the efficacy of the developed sensor for passive ultra-low sweat chloride assessment on human subjects (n = 3).
Simultaneous EEG Acquisition System for Multiple Users: Development and Related Issues
Authors: Lee Sunghan , Cho Hohyun , Kim Kiseong , Jun Sung Chan
Published: October 2019

Social interaction is one of humans’ most important activities and many efforts have been made to understand the phenomenon. Recently, some investigators have attempted to apply advanced brain signal acquisition systems that allow dynamic brain activities to be measured simultaneously during social interactions. Most studies to date have investigated dyadic interactions, although multilateral interactions are more common in reality. However, it is believed that most studies have focused on such interactions because of methodological limitations, in that it is very difficult to design a well-controlled experiment for multiple users at a reasonable cost. Accordingly, there are few simultaneous acquisition systems for multiple users. In this study, we propose a design framework for an acquisition system that measures EEG data simultaneously in an environment with 10 or more people. Our proposed framework allowed us to acquire EEG data at up to 1 kHz frequency from up to 20 people simultaneously. Details of our acquisition system are described from hardware and software perspectives. In addition, various related issues that arose in the system’s development—such as synchronization techniques, system loads, electrodes, and applications—are discussed. In addition, simultaneous visual ERP experiments were conducted with a group of nine people to validate the EEG acquisition framework proposed. We found that our framework worked reasonably well with respect to less than 4 ms delay and average loss rates of 1%. It is expected that this system can be used in various hyperscanning studies, such as those on crowd psychology, large-scale human interactions, and collaborative brain–computer interface, among others.
WaistonBelt X: A Belt-Type Wearable Device with Sensing and Intervention Toward Health Behavior Change
Authors: Nakamura Yugo , Matsuda Yuki , Arakawa Yutaka , Yasumoto Keiichi
Published: October 2019

Changing behavior related to improper lifestyle habits has attracted attention as a solution to prevent lifestyle diseases, such as diabetes, heart disease, arteriosclerosis, and stroke. To drive health behavior changes, wearable devices are needed, and they must not only provide accurate sensing and visualization functions but also effective intervention functions. In this paper, we propose a health support system, WaistonBelt X, that consists of a belt-type wearable device with sensing and intervention functions and a smartphone application. WaistonBelt X can automatically measure a waistline with a magnetometer that detects the movements of a blade installed in the buckle, and monitor the basic activities of daily living with inertial sensors. Furthermore, WaistonBelt X intervenes with the user to correct lifestyle habits by using a built-in vibrator. Through evaluation experiments, we confirmed that our proposed device achieves measurement of the circumference on the belt position (mean absolute error of 0.93 cm) and basic activity recognition (F1 score of 0.95) with high accuracy. In addition, we confirmed that the intervention via belt vibration effectively improves the sitting posture of the user.
Design, Synthesis, and Docking Study of Acyl Thiourea Derivatives as Possible Histone Deacetylase Inhibitors with a Novel Zinc Binding Group
Authors: Al-Amily Duraid H. , Hassan Mohammed Mohammed
Published: October 2019

Histone deacetylase inhibitors with zinc binding groups often exhibit drawbacks like non-selectivity or toxic effects. Thus, there are continuous efforts to modify the currently available inhibitors or to discover new derivatives to overcome these problems. One approach is to synthesize new compounds with novel zinc binding groups. The present study describes the utilization of acyl thiourea functionality, known to possess the ability to complex with metals, to be a novel zinc binding group incorporated into the designed histone deacetylase inhibitors. N-adipoyl monoanilide thiourea (4) and N-pimeloyl monoanilide thiourea (5) have been synthesized and characterized successfully. They showed inhibition of growth of human colon adenocarcinoma and mouse hepatoblastoma cells with low cytotoxic effect against normal human breast cells. Their binding mode to the active site of several histone deacetylases has been studied by docking and the results gave a preliminary indication that they could be successful histone deacetylase inhibitors.
You expect the inspection of Roszdravnadzor? Let’s prepare together
Authors: Крупнова Ирина , Krupnova Irina , Старостина Ирина , Starostina Irina
Published: October 2019

The article reveals the demands for organization and implementation of the federal state surveillance in the area of circulation of medicines and protections of rights of legal entities and individual entrepreneurs. The article defines the order for conduct of the control and surveillance measures of the pharmaceutical manufacturers, which allows understanding the main principles of conducting and planning of scheduled and unscheduled field inspections as well as preventing the illegal inspections. The list of system irregularities in pharmaceutical organizations is given as well as recommendations for its prevention.
Monitoring of safety of medical devices: what you must know for prevention of mistakes?
Authors: Валеева Айсылу , Valeeva Aysylu , Анохина Елена , Anohina Elena , Ульянова Вера , Ul'yanova Vera
Published: October 2019

The article reveals the main aspects of the safety monitoring of medical devices, the correct implementation of safety monitoring of medical devices in organization and prevention of adverse events, associated with medical devices. Likewise the analysis of incoming to Roszdravnadzor information as the result of safety monitoring of medical devices is given.
DYNAMIC FACTOR MODEL OF GDP SHORT-TERM FORECASTING OF UKRAINE
Authors: Zomchak Larysa , Rakova Anastasiia
Published: October 2019

Introduction. The short-term (quarterly) forecast of GDP is based on factor variables of the financial and non-financial sectors of the economy, indicators of foreign economic activity, indicators of economic activity, etc. Although the statistics of these indicators are available on a monthly basis, but its disclosure comes with a certain lag, and values over time can be reviewed and clarified. These data can be used to estimate the quarterly value of GDP before the official information about its empirical volume is published.
Purpose. The article aims to forecast the quarterly real GDP of Ukraine by means of a dynamic factor model on the basis of the quarterly and monthly values of the main social and economic macro indicators of Ukraine.
The method (methodology). To achieve the task, we have used the econometric methods of macroeconomic modelling, namely the dynamic factor model, the Kalman filter, the method of the main components, etc.
Results. The forecast of GDP of Ukraine for the first two quarters of 2018 has been obtained with the help of a dynamic factor model. On the basis of comparison of the obtained forecast with the empirical values of Ukraine's GDP for the similar period, which is published by the Ministry of Finance of Ukraine, it has been proven the adequacy of the model and the high quality of the results has been concluded.
MANAGEMENT OF INVESTMENT PROCESSES ON FINANCIAL MARKETS
Authors: Lavryk Oleksandr , Jafarbaghi Karina
Published: October 2019

Introduction. Significant importance of the modern research of investment processes in modern financial markets has determined the interrelations of the financial and industrial sectors of the national economy. We have studied the relevant levers and the following interactions, which greatly influenced the economy as a whole, expanding the great opportunities for continuous improvement of the stability of economic activity and its efficiency.
In the face of a constant and significant shortage of self-financing by national companies, the current problem of attracting funds is very important. The powerful market-based financial instruments should be used.
Purpose. The article aims to create the following conceptual framework for increasing the stability and efficiency of modern investment processes in financial markets.
Method (methodology). The estimation and analysis methods of risks and financing efficiency, the estimation of financial and economic performance, statistical methods have been used to solve the tasks.
Results. The practice of efficient management of modern investment processes at the macro level and at the country level will be characterized by considerable uncertainty of the functions of such a system of management, low level of coordination of their interaction, poor orderliness of information flows. Therefore, we offer schemes of information flows and functional structure of management of investment processes in modern financial markets.
Correlation between milk bottle practice and diarrhea on children under five at Puskesmas Umbulharjo 1, Yogyakarta City
Authors: Kosapilawan Myra Mesnuath , Gunawan Delima Citra Dewi , Nofiartika Fera
Published: October 2019

Background: Diarrhea is one of the causes of death in children. The incidence of diarrhea in Yogyakarta City in 2014 was still quite high, as many as 917 cases. The use of milk bottles is one of the factors causing diarrhea in children. Milk bottles are susceptible to bacterial contamination due to poorthe  use of milk bottles. Objective: To investigate the relationship between the practice of using milk bottles and the incidence of diarrhea in infants in the working area of Umbulharjo 1 Health Center, Yogyakarta City. Methods: The design of this study was cross sectional. The research was conducted in the Umbulharjo Community Health Center work area 1. The research subjects were 138 children aged 0–59 months and using milk bottles. Data were analyzed using  Chi Square test to determine the relationship between the practice of using milk bottles and the incidence of diarrhea. Results: The practice of using milk bottles in 89 toddlers (64.5%) was included in the bad category while 49 toddlers (35.5%) were included in the good category. There was a relationship between the practice of using milk bottles with the incidence of diarrhea (p=0.00). Conclusion: The practice of using a good bottle of milk can reduce the risk of diarrhea in infants.
استخدام مرسوفيلامي الذكي في مهارة الكلام اللغة العربية
Authors: Hidayah Rohmatun Nurul
Published: October 2019

Mengajar kosa kata membutuhkan media pengajaran untuk membantu siswa memahaminya. Media Pengajaran bahasa adalah kebutuhan penting yang harus digunakan guru untuk mempermudah pengajaran bahasa asing. Permainan bahasa penting untuk perkembangan jiwa murid, untuk menambah pengetahuan dan kata dan lain-lain yang tidak diketahui sebelumnya. Mereka akan mempelajari kosa kata baru agar bisa berbicara dengan berbagai kata. Penggunaan permainan bahasa Marsufilami pintar dalam pengajaran bahasa Arab dua bagian: Pertama, permainan dengan pengajaran. Pembelajaran dengan permainan menggunakan permainan dalam pengajaran kosakata untuk menghilangkan menghilangkan kebosanan dalam belajar dan memberikan kesenangan kepada siswa dan mengembangkan kosa kata atau menambah kosa kata dan mempermudah mereka dalam mengajar kosa kata.

Marsufilami Cerdas adalah Permainan yang membutuhkan kecerdasan, jujur dan cepat untuk para pemain yang ada di dalamnya. Salah satu pemain akan menjadi pemenang. Permainan ini dimulai di kotak "Awal" dengan melanjutkan. Pemain yang berdiri di salah satu senjata layak untuk membelinya dengan harga yang ditentukan di papan permainan. Jika pemain tidak memilih untuk membeli dana, bank berhak menjualnya ke pemain lain. Sementara pemain berdiri di kotak "peluang", ada baiknya mengambil kartu pertanyaan.

Kata Kunci: Permainan Bahasa, Marsufilami Cerdas, Pengajaran
Hardened Properties of Concrete Containing Copper Slag, Rock Dust and Polypropylene Fiber
Authors:   Postgraduation Student, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India., Venugopal* Keshav Krishna Molugu , Malagevelli Venu ,   Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India., Prasad JSR ,   Professor, Department of Civil Engineering, Institute of Aeronautical Engineering, Dundigal, Hyderabad, Telangana, India.
Published: October 2019

The concrete is the material that is obtained from concrete forming materials. These raw materials are mixed in particular proportions, these proportions are based on different concrete grades. These concrete grades defines the strength of the concrete. Construction of structures are based upon concrete, the construction process is growing day by day at a huge scale, hence there is more demand for the raw materials. In order to maintain the demand, excessive extractions of raw materials are done, which makes environment more harmful. In order to limit the extraction of natural raw materials that are used for producing concrete mix, alternative supplementary materials are replaced with fine aggregates. This study involves using of alternative supplementary materials as partial replacement of fine aggregate by copper slag and rock dust, copper slag and rock dust are used at various proportions. The various proportions of rock dust and copper slag are 0% to 50% replacement at an increment of 5% interval. Polypropylene fiber is the material that is added as supplementary material to the concrete mix, it is added at constant volume of 1.5% volume of concrete, it is mixed in concrete to improve toughness and reduce shrinkage of concrete. Super plasticizer admixture that is used is Conplast SP430DIS which contains sulphonated naphthalene formaldehyde is added to cement based on site trails which increases the early concrete strength. Combining copper slag, rock dust, polypropylene fiber and super plasticizer admixture in modified concrete gave best results when compared to conventional concrete due to content of silica in copper slag. Hence this combination can be used for further investigation.
Multilevel Fraud Detection System using Voting Techniques
Authors:   CSE/IT Department, Madhav Institute Of Technology & Science, Gwalior, India., Agrawal* Anjali , Parmar Mahesh ,   CSE/IT Department, Madhav Institute Of Technology & Science, Gwalior, India,
Published: October 2019

Fraud detection is an enduring topic that pose a threat to the information security systems. Data mining helps detect and rapidly identify fraud and take instant action to reduce losses. It analysis the various forms of attacks through classifications algorithms of data mining. In this dissertation the data set of NSL-KDD is examined in identifying anomalies in network traffic patterns and the importance of various classification techniques is studied. Firstly the data is classify in two classes Normal and Anomaly and after then the anomaly data categories in various Attack forms i.e Probe, U2R, R2L, DOS to detect the fraud. The analysis performed through feature selection and classification techniques present in WEKA tool of data mining. The features are extracted through feature selection (CfsSubsetEval, InfoGain, FilterSubsetEval and FilterAttributeEval) methods from 41 attributes to 11 attributes using CfsSubsetEval with best first Search and after extraction the features the classification algorithms(Naïve Bayes, RC, RT, RF and DT) applied for finding Accuracy. The best Result in terms of Accuracy is finding through the voting method using Random Committee and Random Forest is 99.94%.
Flexural Performance of Self Consolidating, Self Cured Concrete Beams -Incorporating Sap
Authors:   Assistant Professor, School of Civil Engineering, , REVA University, Rukmini Knowledge Park Kattigenahalli, Yelankha. Bengaluru, India., Raj A* Sanjay , Annadini Dr.S.B. ,   H.O.D, Civil- School of Engineering, Presidency University, Bengaluru, India
Published: October 2019

Self- Compacting Concrete (SCC) is a sort of Concrete that possesses high flowing, passing ability, which can be placed and compacted due to its own weight without any peripheral compaction effort, at the same time it is cohesive enough to be handled without any segregation or bleeding distinctiveness. This Research Study presents an experimental exploration Flexural behavior of Internal cured Self Compacting Concrete (ICSCC) with fine aggregate substitution by Crushed Rock Fines (CRF) at 0%& 30%, with silica fume as supplementary for cementitious material. Mix Proportions for ICSCC, controlled specimens SCC and Normal Conventional Concrete (NCC) M40 grade is arrived. For each concrete mixes 150mm X 150mm x150mm cubes and 100 X230 X 1500mm beams were casted and exposed to internal curing at ambient temperatures for 7 and 28 days. The results arrived for ICSCC mixes were paralleled with controlled specimens of SCC and NCC. Appropriate materials were selected to have a better performance to ensure efficient internal curing in the concrete mass. The Flow Properties of SCC, ICSCC mixes have been performed as per EFNARC Stds and results of flow properties were within limits. Analysis made from the experimental exploration is accomplished that the Flexural characteristics for ICSCC mixes curried at ambient temperature found acceptable.
SEU Performance Enhancement in BPJLT Devices by Channel Doping and Film Thickness
Authors:   Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai, India., Vinodhkumar N. , Raja C. ,   Professor, Department of Electronics and Communication Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, A.P., India,, Addanki* Satish ,   Department of Electronics and Communication Engineering, Sasi Institute of Technology and Engineering, Aerodrome Road, Tadepalligudem – 534101, AP, India,
Published: October 2019

The bulk planar junctionless transistor (BPJLT) is a potential candidate for future CMOS technologies due to its CMOS compatibility and scalability. In this paper, the impact of silicon film thickness and channel doping on single-event upset (SEU) radiation performance of BPJLT based SRAMs is studied using TCAD simulations. The simulation results show that BPJLT devices having higher channel doping and smaller film thickness provides the better SEU performance.
Experimental Work on Influences of Reynolds Number on Cooling Behaviors with Water Jet Impingement
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Burla., Kund* N. K.
Published: October 2019

Vigorous experiments are conducted to investigate on effects of Reynolds number on heat dispersal over flat plate concerning constant thermal value 6 W/cm2. This paper presents the experimental studies on cooling behavior with water jet impingement. Several influencing parameters pertaining to cooling behaviors of striking jets got recognized for investigating impacts over heat transfer characteristics. The parameters taken into account are nozzle diameter (3, 4, 5 and 6 mm), jet Reynolds number (800, 1600, 2400 and 3200), nozzle to plate spacing (20, 25, 30 and 35 mm) and jet inclination (30⁰, 45⁰, 60⁰, 75⁰ and 90⁰). Additionally, the studies are limited to a constant heat flux situation. The chary interpretations of results tell that performance remains boosted with regard to these key parameters. However, with the current experimental conditions, Reynolds number of 2400 offers adequate thermal characteristics and is the optimum.
Valuation of Select Companies in Cement Industry Listed In National Stock Exchange Limited Based on Market Capitalisation
Authors:   Associate Professor, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore, Mahesh* Dr.N. Manicka , Prabhakaran Mr.J. ,   Assistant Professor, School of Management, Sri Krishna College of Engineering and Technology, Coimbatore
Published: October 2019

The economic progress and productive efficiency of an economy is governed to a large extent by the effective mobilization and distribution of savings into productive channels of investment. The company is not a single entity which is supported by the economy as well as the industry in which the company operates. The ability of the corporate sector to mobilize funds through capital markets depends on efficient functioning of the stock exchanges. The extent, to which security prices reflect the real worth of companies, reflects the efficiency of the market. The main objective of doing corporate valuation is to take part in company’s equity capital as a shareholder of a company. Before investing in any company, the company’s financials through its income statement and balance sheet, market share, competition, competitive advantage, scalability of business etc., has to be studied well apart from general economic conditions of a nation. The end result for performing the valuation analysis is to give suggestion to the investor whether the company stocks are worth for investing and identifying the possibility of expected yield out of it. Here select scrips in the cement industry have been taken for valuation analysis.
Enhancing English Vocabulary in Low Proficient Learners using Online Tools with Special Reference to Arts and Science Colleges
Authors:   Research Scholar, Department of English Sathyabama Institute of Science and Technology, James S* Fennila , Gandhi Dr. S. Mercy Gnana ,   Professor, Department of English Sathyabama Institute of Science and Technology
Published: October 2019

In today's world of development any individual is in need of developing the employability skills in order to grow and settle in their profession. Their possession of hard skills such as education, experience and expertise does not guarantee them perfect job opportunities. Low proficient learners from Arts and Science Colleges find it difficult to get reasonable jobs because they lack employability skills. This is an attempt to analyze the role of technology in the development of employability skills particularly English vocabulary in the low proficient learners of Arts and Science College. 20 students from 3 different departments were given assignments to be done using 3 online tools. Assessment has been made to find out some difference in training the low proficient learners from Arts and Science. The result shows a tremendous change in attitude in learning vocabulary in the low proficient learners from Arts and Science. English vocabulary can be. The soft skills syllabus prescribed can be enriched and made more interesting especially for the low proficient learners with the addition of the online tool ‘Memrise” for learning vocabulary. This will pave a path to those that found learning English difficult.
Forced Convection Experimentation Designed for Cooling Behaviors Encompassing Water Jet Impingement
Authors:   Department of Production Engineering, Veer Surendra Sai University of Technology, Burla., Kund* N. K.
Published: October 2019

Experimentations remain performed for examining influences of water jet impingement on heat dispersal over flat plate concerning constant thermal value 6 W/cm2. This paper presents the experimental studies on cooling behavior with water jet impingement. Several influencing parameters pertaining to cooling behaviors of striking jets got recognized for investigating impacts over heat transfer characteristics. The parameters taken into account are nozzle diameter (3, 4, 5 and 6 mm), Reynolds number (800, 1600, 2400 and 3200), nozzle to plate spacing ratio (7, 6, 5 and 4) and jet inclination (30⁰, 45⁰, 60⁰, 75⁰ and 90⁰). Additionally, the studies are limited to a constant heat flux situation. The chary interpretations of results tell that performance remains boosted in connection with stated fundamental parameters.
Effect of Municipal Solid Waste Disposal on the Engineering Properties of Soil from a Non-Engineered Landfill
Authors:   Department of Civil Engineering, Jaypee University of Information Technology, Waknaghat, District Solan, Himachal Pradesh 173234, India,, Thakur Disha , Gupta* Prof. Ashok Kumar ,   Department of Civil Engineering, Jaypee University of Information Technology, Waknaghat, District Solan, Himachal Pradesh 173234, India, Ganguly Dr. Rajiv ,   Department of Civil Engineering, Jaypee University of Information Technology, Waknaghat, District Solan, Himachal Pradesh 173234, India,
Published: October 2019

The presents study showed the effect of open dumping on soil characteristics and biodegradation settlement analysis of soil in non-engineered landfill. The contaminated soil is referred to as waste soil which has different settlement rates due to the various categories and complex characteristics of waste. The degradation of waste causing percolation of leachate into soil affecting the strength and stability of soil. This paper includes the analysis of geotechnical properties and settlement analysis of waste soil and its comparison was done with natural soil. The geochemical analysis was carried out by Energy Dispersive X- Ray Spectroscopy (EDX) and Scanning Electron Microscopy (SEM). The elemental analysis of soil exhibited presence of high oxygen and silica content in uncontaminated soil. The analysis depicted that specific gravity, maximum dry density (MDD), permeability and California bearing ratio (CBR) showed decreasing trend variation for polluted soil. It was observed that cohesion for contaminated soil was found to be increased thereby increasing the shear strength of soil. Additionally, temperature, pH and moisture content hold a significant position for assessing the settlement. The settlement of soil due to biodegradation of MSW is estimated using empirical mathematical model for dump site depending upon pH, moisture content and temperature. Additionally, settlement is evaluated keeping in view the settlement due to biodegradation of MSW on soil, which further helped in determination of the suitability of the site for the construction and other recreational purposes.
Handwritten Digit Recognition from Digital Image
Authors:   Parul Institute of Computer Application, Parul University, Vadodara and Calorx Teachers’’ University, Computer Science Department, Ahmadabad, India., Mehta* Mr. Abhishek , Chaturvedi Dr. Ashish ,   Calorx Teachers’’ University, Computer Science Department, Ahmadabad, India., Rathod Mr. Dharmendrasinh ,   Parul Institute of Computer Application, Parul University, Vadodara, India., Patel Mr. Mr. Maulik ,   Parul Institute of Computer Application, Parul University, Vadodara, India.
Published: October 2019

This paper presents an overview of feature extraction methods for off-line recognition of segmented (isolated) digit/chratchter. Selection of a feature extraction method is probably the single most important factor in achieving high recognition performance in character recognition systems. Different feature extraction methods are designed for different representations of the digit/characters, such as solid binary characters, skeletons (thinned digit /characters), or gray level sub images of each individual character. Latest research in this area has been able to grown some new methodologies to overcome the complexity of Guajarati digit writing style. The recognition of handwritten digits which are written in proper way to easily readable. The problem is human can write digit in different styles so it is not identified by the computer but the some feature extraction methodologies like end point, junction point; straight lines etc. For features identification and character classification studied different algorithm and technique.
Detection of Osteoarthritis in Knee Radiographic Images using Artificial Neural Network
Authors:   Professor, Department of Computer Science, School of Mathematics and Computing Sciences, Rani Channamma University, Belagavi, Karnataka, India., Gornale* Shivanand S. , Patravali Pooja U. ,   Research Scholar, Department of Computer Science, School of Mathematics and Computing Sciences, Rani Channamma University, Belagavi, Karnataka, India., S.Hiremath Prakash ,   Professor, Dept. of Computer Science (MCA), KLE Technological University, Hubballi-580031, Karnataka, India.
Published: October 2019

In this paper, the Osteoarthritis (OA) analysis in knee radiographic images using artificial neural networks (ANN) is considered. In Osteoarthritis, mobility is restricted and bones rub each other causing extreme pain in knee due to cartilage disintegration. The cartilage destruction is minimal in the initial stage of OA. It is observed that a small number of researchers have implemented identification and grading of Osteoarthritis utilizing their own datasets for experimentation. However, there is still need of automatic computer aided techniques to detect Osteoarthritis for early recognition. In this work, a dataset of 1650 radiographic images of knee joints of OA patients are collected from different hospitals and have been annotated by two different orthopedic surgeons as per the Kellgren and Lawrence (KL) grading system. To automate this grading procedure, the local phase quantization and multi-block projection profile features are computed from the images and then presented to artificial neural network to classify the images based on the KL grading of the severity of the disease. The classification accuracy of 98.7% and 98.2% with reference to surgeon-1 and surgeon-2 opinions, respectively, is achieved.