bluuebunny/crossref_metadata_2025 huggingface dataset:
Bio-Touchpass: Efficient Password Mechanism to Overcome Spyware Attacks
Authors: Nithya Dr. R. , Priya K. V. Manisha , Pavithra S. , Ranjana R. , Snega B.
Published: June 2022

Abstract: This is a work exaggerated historical authentication structures supported the personal identification number (PIN) and one time password (OTP) through the fusion of biometric statistics as a second stage of person authentication. In this project, users can draw every digit of the parole on the touch screen device instead of usual method. A whole exploration of this bio metric gadgets is to drop a relative discriminative energy of every written notation and consequently the hardness once growing the size of the parole and consequently the variety of approached samples. The advanced eBioDigit data, that includes on line written notation from zero to nine, has been non heritable manipulation of the finger as enter on an android device. The data is employed within the experiments in accordance’s in the course of this work and it is on the market at the side of benchmark. Eventually, we have a tendency to discuss precise important points for the education of our innovation strategy on the present PIN and OTP systems, reaching outcomes with equal error rates (EERs) ca. 4.0% once the assaulter is aware of the parole. These outcomes inspire the practice of our innovation strategy in contract to historical PIN and OTP systems anywhere the assault would have a hundred percent success amount underneath steady faux situation. Keyword: Mobile User Authentication; Password; Biometrics; Handwriting; PIN; OTP; Touchscreen; Touch Interaction
Big Data
Authors: Sonavane Ms. Shivani Bhagwan
Published: June 2022

Abstract: Big data refers to data sets that are overlarge or complex to be restrained by traditional processing apclication software. Data with many fields offer greater statistical power, while data with higher complexity maynlead to a better false discovery rate. Big data analysis challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy, and data source. Big data was originally related to three key concepts: volume, variety, and velocity. The analysis of huge data presents challenges in sampling, and thus previously with only observations and samling. Therefore, big data often includes data with sizes that exceed the capacity of traditional software to process within an appropriate time and value. Current usage of the term big data tends to sit down with the utilization of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from ig data, and infrequently to a specific size of knowledge set. “There is no doubt that the quantities of knowledge now available are indeed large. But that’s not the foremost relevant chracteristic of this new data ecosystem.” Analysis of information sets can find new correlations to ” spot business trends, prevent diseases, combat crime and then on”.Scientists, business executives, medical practitioners, advertising and governments alike regularly meet difficulties with large data-sets in areas including internet searches, fintech, healthcare analytics, geographic information systems, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology, and environmental research.The size and number of obtainable data sets have grown rapidly as data is collected by devices like mobile devices, cheap and diverse information – sensing Internet of things devices, aerial, software logs, cameras, microphones, radio-frequency identification(RFID) readers and wireless sensor networks. The world’s technological percapita capacity to store information has roughly doubled every 40 months since the 1980s: as of 2012, a day 2.5 exabytes(2.5*2^60 bytes) of knowledge are generated. supported an IDC report prediction, the worldwide data volume was predicteed to grow exponentially from 4.4 zettabytes to 44 zettabytes between 2013 and 2020. By 2025, IDC predicts there'll be 163 zettabytes of knowledge.
IoT Based Solar Power Monitoring Using Arduino
Authors: Swathi G.V , Ramesh Daravath , Krishna S. Vamshi , Ganesh B.
Published: June 2022

Abstract: This project aims to develop a measurement of solar energy using Arduino Board technology. In this research, four parameters that been measured are temperature, voltage and current. The temperature was measured using temperature sensor. The voltage was measured using the voltage divider because the voltage generated by the solar panel is large for the Arduino as receiver. Lastly for the current was measured using the current sensor module that can sense the current generated by the solar panel. These parameters as the input value for the Arduino and the output was display at the Liquid Crystal Display (LCD) screen. The LCD screen display output of the temperature, the light intensity, the voltage and the current value. The purpose of Arduino to convert the analog input of parameter to the digital output and display via LCD screen. Other than that, this project also involves with a design to ensure that device case is easy to be carry around. Application of IoT is proving beneficial for monitoring renewable energy generation. This application of IoT uses system based on Arduino to monitor parameters of the solar panel. The solar panel is monitored by the system continuously and the power output is transmitted over the internet to the IoT Network. It now uses an effective Interface to display these solar panel parameters to the user and it also alerts user when the outcome falls underneath the cut-off points specified. This makes, distantly monitoring of solar power plants more convenient and the best output of power is guaranteed. Keywords: Internet of Things (IOT), Power Output, Renewable Energy, Solar Energy, Solar Panel
A Review on Autonomous Delivery Robot using Machine Learning
Authors: U Nisarga , R Prajwal , S M Reshma , H Sonu , B Ms. Ramya
Published: June 2022

Abstract— The area of autonomous robotics is developing at a fast rate. The fashion to apply more and more sensors in automobiles is pushed each through rules and client needs for better protection and dependable service. Nowadays, robots are located everywhere, starting from homes, hospitals to industries,and navy operations. Autonomous robots are evolved to be strong sufficient to work beside people and to perform jobs efficiently. Humans have a natural experience of information of the physical forces appearing round them like gravity, experience of motion, etc. which aren't taught explicitly however these evolved naturally. However, this isn't always the case with robots. To make the robot completely autonomous and equipped to work with people, the robotic have to becapable of understand the scenario and devise a plan for easy operation, considering all the adversities which can arise even as sporting out the tasks. Considering themodern covid-19 scenario, we've got proposed a prototype robotic that may be very beneficial to reduce the danger of infectious sickness transmission in the product delivery machine during the extreme stress on healthcare and hygiene. The layout and development of a price effective autonomous cellular robotic prototype were supplied which can supply applications accurately to a favoured vacation spot using Radio frequency identification (RFID). Keywords— Raspberry pi, Open CV, IR sensors, ImageProcessing
Stabilization of liquid water-in-oil emulsions by modifying the interfacial interaction of glycerol monooleate with aqueous phase ingredients
Authors: Romero-Peña Maria , Ghosh Supratim
Published: June 2022

Glycerol monooleate (GMO)-stabilized liquid water-in-vegetable oil
(W/VO) emulsions are difficult to stabilize due to the desorption of GMO
from the W-VO interface towards the oil phase. This work improved the
stability of GMO-stabilized liquid 20 wt% water-in-canola oil (W/CO)
emulsion by modifying the dispersed aqueous phase composition with
hydrogen bond-forming agents. As a control, 20 wt% water-in-mineral oil
(W/MO) emulsion was also utilized. Different concentrations of hydrogen
bond-forming agents (citric acid (CA), ascorbic acid (AA), low methoxyl
pectin (LMP)) with and without salts (sodium chloride (S) or calcium
chloride (Ca)) was added to the aqueous phase before emulsification,
which enhanced emulsifier binding to the water-oil interface. The
emulsions were characterized by phase separation, stability against
accelerated gravitation, microstructure and rheology. W/CO emulsion
without any aqueous phase additive destabilized instantly, whereas W/MO
emulsion stayed stable. The addition of hydrogen bond-forming agents and
salts significantly improved emulsion stability. LMP, with many hydrogen
bond-forming groups, was able to provide the highest emulsion stability
after 7 days in both oils compared to AA, CA and their mixtures with S.
Emulsions with both oils formed weak gels with viscous and elastic
characteristics due to the formation of an extensive network of water
droplet aggregates. Overall, the hydrogen bond-forming agents interacted
with GMO at the interface, thereby improving their presence at the water
droplet surface, allowing significantly improved stability of
GMO-stabilized liquid W/CO emulsions. The knowledge developed in this
research can be useful in applying GMO in stabilizing liquid
water-in-oil emulsion without using any crystal network.
To guard the rhythm of the heart: Constructing a wall of ice with surgical endocardial cryo-maze.
Authors: Tsiachris Dimitris , Pitsis Antonios , Antoniou Christos-Konstantinos , Doundoulakis Ioannis , Stefanadis Christodoulos
Published: June 2022

Surgical atrial fibrillation (AF) ablation is a valid option in cases of
concomitant cardiac surgery. Electroanatomical mapping before and after
the procedure can assess the substrate and verify durable lesion
formation. It is likely that a routine combined cardiosurgical and
electrophysiological approach may yield the greatest benefit for such
patients.
New frontiers in CRISPR/Cas9 delivery systems delivery for gene editing
Authors: Khoshaman Kazem , Nasiri Mahbobeh , Rezaee Maryam , Izadi Farideh , Mehrara Arian , Sadeghi Ladan , Rezaeian Yaghoub , Rezaei Esmail , Zarei Elmira , Rahmanian Samira , Dalvand Yadollah , Shaheli Marjan , Rezaei Azam , Honarvar Mehran , Aqababa Heydar , Saeedi Majid , alashti Shayan Khalili
Published: June 2022

Since its discovery in early 1980s to date, our knowledge about CRISPR
has evoloved so much. CRISPR/Cas system confers the immunization ability
against phages to the bacteria and is comprised of three stages:
acquisition, biogenesis, and interference. It was first in 2012 when
Charpentier and Doudna proposed Cas9 enzyme as a novel gene editing
tool. They opened a new gate on the way of gene editing which led to new
discoveries as well as novel treatments for diseases. It must be taken
into consideration that the delivery of CRISPR/Cas9 remains a great
barrier on the way of mass clinical exploition. The delivery of
CRISPR/Cas9 requires a cargo and a vehicle. There are three types of
cargos: plasmids, mRNAs, and enzymes. There two main types of vehicles
as well: viral and non-viral. Non-viral delivery can be subdivided into
physical and various nanoparticle mediated delivery. In this systematic
review, we aimed to give an overall insight to the all delivery methods
used for the delivery of CRISPR/Cas9 used for gene editing both in-vitro
and in-vivo. We conducted a thorough search from two databases: Medline
and scopus. After the screening Process we found 77 eligible papers and
the results are illustrated in table 1,2, and 3.
Identification of three novel variants in the UGT1A1 gene as a cause of Crigler-Najjar syndrome type 1
Authors: Ghorbani Mohammad Javad , Dehghani Seyed Mohsen
Published: June 2022

Crigler-Najjar syndrome type I (CN-I) is a rare inherited disorder with
a frequency of one per million at birth. Patients with CN-I have severe
hyperbilirubinemia and usually die due to kernicterus. CN-I occurs due
to variants within the UGT1A1 gene. The present study aimed to identify
genetic defects underlying CN-I.
Gully Recognition and Spatial-temporal Evolution Law of Gully Based on SegNet Model
Authors: Liu Boyang , Zhang Biao , Yin Ziming , Hao Bai , Wu Dr. Shufang , Feng Hao , Siddique K
Published: June 2022

Gully erosion is one of the main modes of slope erosion on the Loess
Plateau, which plays a connecting role in the slope gully erosion
system. The Loess Plateau has wide and densely distributed gullies. The
study selected a typical small watershed in the hilly and gully region
of the Loess Plateau to measure the morphological characteristics and
spatial-temporal distribution of gullies. A deep learning image semantic
segmentation model was used to identify and extract the morphological
features of gullies at the watershed scale from 2009 to 2021 based on
remote sensing images (0.5 m resolution) and then analyze their temporal
and spatial distribution characteristics. The results revealed that: (1)
most gullies occurred in the hilly southern parts of the watershed,
which has complex landforms and large slope gradients; (2) gully number
increased from 1,159 in 2009 to 2,312 in 2021 (average 97 per year),
with a frequency development rate of 2.87 km y
; (3) gully length generally ranged from 25–40 m,
with an average growth rate is 1.66 m y and
density development rate of 0.12 km km y
; (4) gully width ranged from 0.5–1.5 m, with an
average growth rate of 0.04 m y . (5) the total
gully area increased from 0.0566 km² in 2009 to 0.1072 km² in 2021, with
a development rate of 4,213.39 m² y and dissection
degree development rate of 0.0125% y . This study
provides a theoretical and scientific basis for gully erosion control
and eco-environmental protection at the watershed scale on the Loess
Plateau.
Fortuitous retrieval of extensive gutta-percha extruded into the maxillary sinus following root canal treatment on the 2nd upper left molar
Authors: Aoun Georges
Published: June 2022

Close proximity between the maxillary teeth roots and the maxillary
sinus can lead to an unintentional deposition of endodontic obturation
materials into the latter. Among these materials the injectable
thermoplasticized gutta-percha as a consequence of overfilling. In this
report a case of extensive gutta-percha extruded into the maxillary
sinus following root canal treatment on the 2nd upper left molar is
presented.
Shuffle algorithm for fractional descriptor Roesser type continuous-time linear systems
Authors: Kaczorek Tadeusz , Sajewski Łukasz
Published: June 2022

The shuffle algorithm is applied to analysis of the fractional descriptor Roesser type continuous-time linear systems. Using the shuffle algorithm the fractional descriptor linear system is reduced to the equivalent standard system and the system is decomposed into dynamic and static parts. Procedure for computation of the matrices of equivalent standard system and of the dynamical and static parts of the system is proposed.
Parametric analysis of pilot voice signals in Parkinson?s disease diagnostics
Authors: Majda-Zdancewicz Ewelina , Potulska-Chromik Anna , Nojszewska Monika , Kostera-Pruszczyk Anna
Published: June 2022

Parkinson's disease (PD) is a neurodegenerative disease of the central nervous system (CNS) characterized by the progressive loss of dopaminergic neurons in the substantia nigra. The article describes an analysis of pilot voice signal analysis in Parkinson's disease diagnostics. Frequency domain signal analysis was mainly used to assess the state of a patient's voice apparatus in order to support PD diagnostics. The recordings covered uttering the ?a? sound at least twice with extended phonation. The research utilized real recordings acquired in the Department of Neurology at the Medical University of Warsaw, Poland. Spectral speech signal coefficients may be determined based on different defined frequency scales. The authors used four frequency scales: linear, Mel, Bark and ERB . Spectral descriptors have been defined for each scales which are widely used in machine and deep learning applications, and perceptual analysis. The usefulness of extracted features was assessed taking various methods into account.  The discriminatory ability of individual coefficients was evaluated using the Fisher coefficient and LDA technique.. The results of numerical experiments have shown different efficiencies of the proposed descriptors using different frequencies scales.
Multi-criteria multi-stage game optimization
Authors: Lisowski Józef
Published: June 2022

The article presents a mathematical model of a multi-stage game of the process of safe control of a transport object in possible collision situations with other encountered objects, containing a description of state variables, state and control constraints, and sets of permissible object strategies. Multi-criteria optimization tasks were formulated in the form of positional and matrix games under the conditions of playing non-cooperative and cooperative control as well as non-game optimal control. The multi-criteria control algorithms corresponding to these tasks were computer simulated in Matlab / Simulink on the example of a real situation.
Feature Extraction using Histogram of Oriented Gradients for Image Classification in Maize Leaf Diseases
Authors: Vincent Mbandu Ochango  , Geoffrey Mariga Wambugu  , John Gichuki Ndia
Published: June 2022

The paper presents feature extraction methods and classification algorithms used to classify maize leaf disease images. From maize disease images, features are extracted and passed to the machine learning classification algorithm to identify the possible disease based on the features detected using the feature extraction method. The maize disease images used include images of common rust, leaf spot, and northern leaf blight and healthy images. An evaluation was done for the feature extraction method to see which feature extraction method performs best with image classification algorithms. Based on the evaluation, the outcomes revealed Histogram of Oriented Gradients performed best with classifiers compared to KAZE and Oriented FAST and rotated BRIEF. The random forest classifier emerged the best in terms of image classification, based on four performance metrics which are accuracy, precision, recall, and F1-score. The experimental outcome indicated that the random forest had 0.74 accuracy, 0.77 precision, 0.77 recall, and 0.75 F1-score.
A Discrete Mathematical Model of the Variable State of the Pandemic
Authors: Bardavelidze Avtandil , Sztrik János , Bradvelidze Khatuna , Basheleishvili Irakli
Published: June 2022

The paper describes and analyzes a discrete mathematical model of the variable state of the pandemic, which is important for determining production quantities of vaccines and antiviral drugs, predicting the number of infected persons, and the intensity of the process of disseminating information or new ideas to the public.    According to the system of differential equations of the pandemic, a discrete mathematical model in vector-matrix form was developed and the equilibrium of the model in the space state was proved.     As a result of the implementation of the pandemic model, the discrete dynamic curves of the variable state were obtained in a Matlab  package.
A bibliometric analysis of total quality method literature in tourism for the last 19 years
Authors: UZUN Merve , ÇETİNSÖZ Burçin Cevdet
Published: June 2022

The main objectives of Total Quality Management (TQM), which first emerged in 1950 in Japan with the contributions of Japanese pioneers of quality philosophy such as Deming and Juran, are expressed as continuous quality improvement, training and customer satisfaction in a business. The essence of the philosophy of Total Quality Management (TQM) is to ensure final customer satisfaction at every stage and fulfill customer needs accordingly. As a system that guarantees the targeted quality in an enterprise, Total Quality Management (TQM) continues to develop in the production sector as well as the service sector. The tourism industry, which is a labor-intensive industry, is being evaluated among sectors that are most affected by intense competition between businesses and countries. Therefore, Total Quality Management (TQM) is an extremely important factor in terms of the competitiveness of destinations and tourism businesses in the global market. Accordingly, the aim of this study was to reveal the change and development process within the last 19 years of studies dealing with the concepts of "Total Quality Management and Tourism" together in detail in international literature. Therefore, a bibliometric profile of the strong relationship between Total Quality Management and Tourism was established with the CiteSpace analysis method by using the variables deployed in previous studies, the methods used in the analyzes, and the obtained findings.
Utilization of an energy-resolving detection system for mammography applications: A preliminary study
Authors: Taha Eslam M. , Elmoujarkach Ezzat A. , Balamesh Ahmed , Alzaidi Samir A. , Alhawsawi Abdulsalam M.
Published: June 2022

Breast cancer remains one of the major causes of mortality among female cancer patients. This fact caused a spark in the medical field, which in turn helped to improve the diagnostic and treatment of breast cancer patients over the years making this field always active with new ideas and innovative methods. In our study, a new method was explored using an energy-resolving detection system made from a NaI (Tl) scintillation detector to detect the gamma photons from an Am-241 radiation source to try and construct an image by scanning the American College of Radiology (ACR) mammography phantom. In addition to the experimental work, a Geant4 Application for Tomographic Emission (GATE) toolkit was used to investigate more complex options to improve the image quality of mammographic systems, which is limited by the experimental setup. From the experimental setup, the researchers were able to construct an image using the 26.3 keV and the 59.5 keV energy photons, to show the largest size tumour (12 mm) in the ACR phantom. With an improved setup in the simulation environment, the majority of the ACR phantom tumours was visible using both energy windows from the 26.3 keV and the 59.5 keV, where the 26.3 keV yielded better quality images showing four tumours compared to three when using 59.5 keV. The simulation results were promising; however, several improvements need to be incorporated into the experimental work so that the system can generate high-resolution mammographic images similar to the ones obtained by the GATE simulation setup.
ЭМЕРГЕТИЧЕСКИЙ АНАЛИЗ СИСТЕМ БИОЛОГИЧЕСКОЙ ОЧИСТКИ СТОЧНЫХ ВОД (НА ПРИМЕРЕ ОЧИСТНЫХ СООРУЖЕНИЙ с. КАРГАСОК ТОМСКОЙ ОБЛАСТИ)
Authors: Полякова О.С. , Семенов С.Ю.
Published: June 2022

Evaluation of the efficiency of construction and functioning of production and bioengineering facilities is necessary in economic planning as it allows to assess the expedience of a project at the planning stage and to minimize its operation costs. Currently, such evaluations are based primarily on costs and energy expenditures, which do not reflect the environmental impacts. The emergetic analysis, which is a branch of energy analysis, provides for assessing such impacts. In the present work this analysis was applied to three wastewater treatment systems in the village Kargasok of Tomsk Region (the Russian Federation): the conventional intensive treatment plant and two stages of its supplementation with constructed wetlands. The analysis suggests that the completed complex of treatment facilities has the minimum impact on the environment, whereas the maximum impact is produced by the initial intensive treatment facility. In addition to the traditional emergetic indices (EYR, ELR and ESI), the parameter EEE (emergy ecological efficiency) was used. This parameter was introduced because wastewater is a highly valuable resource. This is currently not generally recognized by society (wastewater is mostly neutralized, not disposed of), and thus is not considered in developing of wastewater treatment technologies. EEE characterizes the extent of a decrease in load on the biosphere due to the development of a treatment facility. The first wetland plot constructed positive for a beneficial effect of +41.2%, which was increased by only 3% due to the second plot. Some hypothetical options for wastewater treatment were also considered. For example, the most radical method of wastewater treatment is their distillation, which produces an adverse environmental effect of 286%. The best option for wastewater management seems to provide hot water supply to residential premises, which makes a beneficial environmental effect amounting to 58.5%.
Some aspects of modeling in the economic management system of the territory
Authors: Zheludkova Tatiana Vladimirovna , Kirpanev Vadim Petrovich , Uvarov Igor Petrovich
Published: June 2022

The article highlights the issues of modeling processes of a socio-economic nature, considers the problems and reveals the factors influencing the construction of the model algorithm. In our opinion, studies of economic processes undoubtedly affect the social side of the development of the territory. The scientific novelty lies in the development and testing of new approaches to the construction of a model that allows us to systematically characterize the processes taking place, based on the analysis of the whole, territorial development, in relation to the structure of its parts, including human capital, which will make it possible to create a mechanism that ensures maneuverability in order to effectively use the potential of the region. As a result, an assessment of the current state of affairs for a certain subject of the Russian Federation is given, but some aspects touched upon in the study require an additional information block. The considered structural factors are determined in the share influence, which allows us to conclude about the regulation of processes with external and internal influence.
Kekuatan Tekan Dan Kekerasan Prototipe Engine Maunting Berbahan Dasar Biokomposit
Authors: Tyagita Dicky Adi , Irawan Andik , Pradista Bagas Eris
Published: June 2022

Karet dan serat alam dapat digunakan sebagai bahan dasar pembuatan engine mounting sebagai komponen otomotif, dengan kekuatan struktural dan paduan sesuai standar ASTM dan SNI. Tujuan dari penelitian ini adalah untuk mengukur kekuatan tekan dan kekerasan sebagai analisis struktur paduan antara biokomposit Chopped Fiber (CF) berbahan dasar serat rami yang bermatrik campuran getah pohon karet dan carbon black. Tahapan penelitian ini adalah membuat kompon karet dari karet alam, kemudian dilanjutkan dengan pengambilan serat dari batang rami yang hasilnya berupa serat panjang dan serat acak. Paduan karet, serat, dan carbon black dalam bentuk bubuk dan bahan pengikat. Perpaduan kedua bahan utama ini dibentuk dengan komposisi 35 phr, 45 phr, dan 55 phr. Uji tekan dan kekerasan dilakukan untuk mendapatkan sifat mekanik material. Sifat mekanik biokomposit CF yang diperkuat serat rami dengan bahan pengikat digunakan sebagai dasar produksi prototipe engine mounting. Metode penelitian ini adalah membuat engine mounting sesuai ASTM dan SNI dengan masing-masing 3 spesimen pada masing-masing komposisi, ditambah engine mounting OEM sebagai pembanding. Jumlah sampel benda uji sebanyak 18 buah. 10 benda uji mengalami uji tekan dan 10 benda uji kekerasan. Hasil dari penelitian ini adalah komposit yang diperkuat serat rami CF dalam bentuk engine mount lebih baik daripada engine mount OEM/buatan pabrik.
Pengaruh Katalis NaOH Terhadap Proses Metilasi Senyawa Brazilein Pada Ekstrak Kayu Secang (Caesalpinia sappan linn)
Authors: Ulma Zeni , Rahayuningsih Edia , Wahyuningsih Tutik Dwi
Published: June 2022

Reaksi metilasi adalah reaksi penggantian atom atau molekul dengan gugus metil. Beberapa parameter yang mempengaruhi proses metilasi antara lain rasio bahan dan waktu metilasi, namun hasil metilasi tidak optimal. Pada penelitian ini dilakukan penambahan katalis pada proses metilasi. Penambahan katalis berpengaruh terhadap peningkatan stabilitas warna ekstrak secang terhadap perubahan pH. Variabel yang digunakan dalam penelitian ini adalah konsentrasi katalis 0; 0,002; 0,01; 0,02; dan 0,04 mol/mL. Parameter yang diuji meliputi stabilitas terhadap pH (2, 3, 5, 7, dan 10) dan degradasi warna terhadap oksidator. Konsentrasi katalis penambahan terbaik adalah pada kisaran 0,002 hingga 0,01 mol/mL. Selain itu, adanya katalis NaOH dalam proses metilasi ekstrak secang juga dapat mengurangi degradasi warna yang disebabkan oleh adanya oksidator.
ASPEK-ASPEK KELISANAN DALAM HIKAYAT UPU DAENG MENAMBUN
Authors: Nur Fajar Septiana  , Yudha Wirajaya Asep
Published: June 2022

Karya sastra merupakan hasil pola pikir manusia yang dituangkan dalam bentuk tulisan, sehingga karya sastra dapat digunakan sebagai gambaran bagaimana kehidupan pada zaman karya sastra itu lahir. Dalam proses penghadiran karya sastra tidak lepas dari kebudayaan yang hidup dalam masyarakat, salah satunya adalah kebudayaan lisan yang hidup dan berkembang dalam masyarakat sejak zaman niraksara hingga saat ini. Penelitian ini membahas mengenai aspek-aspek kelisanan yang terkandung dalam teks Hikayat Upu Daeng Menambun yang bertujuan untuk mengetahui kebudayaan lisan pada zaman naskah Hikayat Upu Daeng Menambun tersebut muncul. Penelitian ini menggunakan metode deskriptif kualitatif. Hasil penelitian menunjukkan bahwa dalam teks Hikayat Upu Daeng Menambun memiliki dua aspek kelisanan yang menonjol, yaitu aditif alih-alih subordinatif dan empatis-parsipatif alih-alih berjarak secara objektif.
VARIASI BAHASA PADA PELAYANAN CUSTOMER SERVICE DI BANDAR UDARA GUSTI SJAMSIR ALAM KOTABARU
Authors: Belembele Agnes Erfina
Published: June 2022

Variasi bahasa digunakan oleh manusia untuk bekerja sama dan berinteraksi. Penutur dan mitra tutur menjalin komunikasi dan menghasilkan variasi bahasa. Tujuan penelitian ini dilakukan adalah (1) mendeskripsikan variasi bahasa yang terdapat pada pelayanan Customer Service di Bandar Udara Gusti Sjamsir Alam Kotabaru, (2) mendeskripsikan faktor-faktor variasi bahasa yang terdapat pada pelayanan Customer Service di Bandar Udara Gusti Sjamsir Alam Kotabaru. Metode yang digunakan dalam penelitian ini adalah metode kualitatif yang bersifat deskriptif dengan menggambarkan secara objektif dan aktual tuturan yang terjadi. Penelitian deskriptif kualitatif ini dilakukan dengan penganalisisan data melalui observasi ke lapangan dengan langkah-langkah pengumpulan, penganalisisan dan penyajian data dengan teknik observasi, teknik rekam dan teknik catat. Hasil dari penelitian ini, yaitu (1) jenis variasi bahasa yang ditemukan dalam pelayanan Customer Service di Bandar Udara Gusti Sjamsir Alam Kotabaru ialah a) variasi bahasa dari segi penutur yaitu penggunaan dialek daerah b) variasi bahasa dari segi pemakaian yaitu register, c) variasi bahasa dari segi sarana yaitu ragam lisan, dan 4) variasi bahasa dari segi keformalan yaitu ragam usaha santai (casual) dan ragam bahasa usaha (konsultativ). (2) Faktor-faktor yang mempengaruhi variasi bahasa pada pelayanan Customer Service di Bandar Udara Gusti Sjamsir Alam Kotabaru adalah Faktor jenis kelamin yang dilihat dari intonasi nada berbahasa.
MAKIAN DALAM BAHASA SASAK DIALEK E-E
Authors: Hakim Lukmanul
Published: June 2022

Ungkapan makian di setiap daerah memiliki keunikan dan kecirikhasan tersendiri. Ungkapan makian merupakan bentuk pelampiasan perasaan yang terpendam dalam hati karena situasi yang tidak menyenangkan. Bahasa Sasak dialek e-e juga memiliki ungkapan makian yang unik dan berciri khas tersendiri. Tujuan penelitian ini mendeskripsikan bentuk dan referensi makian bahasa Sasak dialek e-e. Metode dalam penelitian ini ialah metode kualitatif deskriptif. Tahap penelitian meliputi (1) penyediaan data; (2) penganalisisan data, dan (3) penyajian hasil analisis data. Data diperoleh melalui teknik pustaka dan wawancara langsung dengan teknik libat cakap catat. Data diklasifikasikan berdasarkan permasalahan yang ada. Data diperoleh dari beberapa informan bahasa Sasak dialek e-e. Hasil penelitian menunjukkan bahwa bentuk makian bahasa Sasak dialek e-e adalah makian berbentuk kata dan frasa. Makian bahasa Sasak dialek e-e dalam bentuk kata adalah kapir ‘kapir’, jahanam ‘jahanam’, haram ‘haram’, telaknat ‘dilaknat’, jadah ‘jadah’, setan ‘setan’, iblis ‘iblis’, tele ‘nakal’, perot ‘penakut’, penipu ‘penipu’, melak ‘rakus’, noaq ‘durhaka’, ekik ‘pengotor’, bodo ‘bodoh’, belok ‘bodoh’, bungun ‘bodoh’, bongoh ‘bodoh’, jadik ‘durhaka’, gedok ‘tuli’, letaq ‘dekil’, benguq ‘bau’, belang ‘binal’, lekak ‘pembohong’, jogang ‘gila’, melut ‘agak gila’, tele ‘kemaluan perempuan’, dagun ‘besar kepala’, butak ‘botak’, bontet ‘besar perut’, buntet ‘pendek tubuh’, koyos ‘sangat kurus’, mokoh ‘gemuk’, tempang ‘pincang’, densrot ‘pincang’, bute ‘buta’, jeweh ‘besar bibir’, jungaq ‘mulut maju’, pengot ‘miring mulut’, bungkuk ‘bungkuk’, pesot ‘kempes paha’, borot ‘besar kemaluan’, basong ‘anjing’, bewi ‘babi’, godik ‘monyet’, sempi ‘sapi’, jaran ‘kuda’, ujat ‘serigala’, ulah ‘ular’, lentaq ‘lintah’, tekeq ‘tokek’, ngerodok ‘makan’, jeler ‘lihat’, maling ‘maling’, copet ‘copet’, sundel ‘sundal’, ubek ‘pelacur’, pekir ‘pengemis’, dan berong ‘penyakit kusta’. Makian bahasa Sasak dialek e-e dalam bentuk frasa adalah anak kapir ‘anak kafir’, anak jadah ‘anak haram’, maraq setan ‘seperti setan’, anak setan ‘anak setan’, maraq iblis ‘seperti iblis’, anak iblis ‘anak iblis’, teu selaq ‘leak’, tain tele ‘kotoran kemaluan perempuan’, loang tele ‘lubang kemaluan perempuan’, pesok mue ‘peot’, tunggak elak ‘pangkal lidah, beleq baduk ‘besar perut’,  maraq basong ‘seperti anjing’, anak basong ‘anak anjing’, maraq bewi ‘seperti babi’, anak bewi ‘anak babi’, anak godik ‘anak monyet’, maraq sempi ‘seperti sapi’, maraq jaran ‘seperti kuda’, maraq ujat ‘seperti serigala’, maraq ulah ‘seperti ular’, maraq lentaq ‘seperti lintah’, tain basong ‘kotoran anjing’, tain jaran ‘kotoran kuda’, dan dengan gawah ‘orang hutan. Referensi makian yang ditemukan dalam Bahasa Sasak dialek e-e mengacu pada agama/kepercayaan, makhluk gaib, sifat/keadaan, anggota tubuh, binatang, aktivitas, profesi rendah, asal daerah terpencil, dan penyakit.
IMPLEMENTASI TINDAK TUTUR ILOKUSI DAN IMPLIKATURNYA DALAM PEMBELAJARAN BAHASA INDONESIA
Authors: Rahmah Syarifah , Mujianto Gigit
Published: June 2022

Tujuan penelitian ini adalah untuk memahami secara mendalam mengenai jenis-jenis tindak tutur ilokusi dan implikaturnya dalam pembelajaran Bahasa Indonesia. Metode penelitian yang digunakan adalah metode penelitian deskriptif dengan pendekatan kualitatif. Sumber data yang digunakan adalah 2 video kegiatan pembelajaran kelas VIII di MTs Maarif 19 Assalamah Lampung yang dapat dilihat melalui Youtube. Hasil penelitian menunjukkan terdapat tindak tutur ilokusi dan implikaturnya dalam pembelajaran Bahasa Indonesia. Tindak tutur ilokusi yang ditemukan dalam video pertama dan kedua adalah pertama, tindak tutur asertif menyatakan; kedua, tindak tutur direktif memerintah; ketiga, tindak tutur komisif menawarkan sesuatu hal; keempat, tindak tutur ekspresif memuji; kelima, tindak tutur deklaratif menghukum. Sementara itu, berdasarkan jenis tindak tutur dan implikatur pengungkapannya dalam penelitian ini hanya ditemukan implikatur tindak tutur konvensionalnya saja.
STUDI BERBASIS KORPUS: PERBANDINGAN KOLOKASI DAN PROSODI SEMANTIK SINONIM BAHASA INDONESIA “MENYEBABKAN” DAN “MENGAKIBATKAN”
Authors: Zhang Lirong
Published: June 2022

Sinonim merupakan salah satu bagian vital dalam pembentukan sistem kosa kata suatu bahasa. Perbedaan kata sinonim dalam metode pengajaran tradisional hanya sekadar makna leksikalnya, bukan penggunaannya sehingga pemelajar sering mengalami kesulitan dalam pemerolehan bahasa kedua. Munculnya linguistik korpus pada pokoknya telah menyediakan cara baru yang telah terbukti efektif dan praktik terhadap penelitian kosa kata. Dengan menggunakan Korpus Indonesian Web (IndonesiaWaC) dan pendeketan campuran kualitatif dan kuantitatif, penelitian ini bertujuan untuk melakukan perbandingan kolokasi dan prosodi semantik terhadap kata sinonim bahasa Indonesia “menyebabkan” dan “mengakibatkan” supaya dapat menemukan perselisihan penggunaan antara kedua katanya dalam teks tertentu. Hasil penelitian menunjukkan bahwa “menyebabkan” dan “mengakibatkan” berbagi kolokasi yang mirip dan dua-duanya memiliki prosodi semantik negatif dalam sebagian besar konteks. Akan tetapi, “menyebabkan” sebagai kata kerja transitif biasanya disandingkan dengan kata benda yang berhubungan dengan kondisi sosial atau geografis, sedangkan kata-kata yang dikolokasikan “mengakibatkan” cenderung mempunyai kaitannya dengan keadaan badaniah orang. Hasil kajian ini pada dasarnya dapat menjadi referensi dalam pengajaran dan pemerolehan kosa kata bahasa Indonesia bagi pembelajar dan pemelajar bahasa Indonesia di Tiongkok agar meminimalkan keliruan gramatikal yang disebabkan oleh kesalahgunaan kosa kata dan transfer negatif bahasa Mandarin dalam pembelajaran bahasa Indonesia.
Climatic Effects on In-Situ Soil State Profiles Considering a Coupled Soil-Atmosphere Interaction Model
Authors: Bicalho Kátia V. , Vivacqua Gabriel P.D. , Cui Yu J. , Romanel Celso
Published: June 2022

The influence of soil-atmosphere interactions on an unsaturated soil in water-limited environment is investigated using a coupled heat-water flow model with a balance of net solar energy at earth’s surface. The paper also presents the governing equations for soil-atmosphere interaction analysis which, although important, are still rare in geotechnical applications. Numerical results were obtained by approximating the governing partial differential equations through a 1D finite difference scheme representing the soil as a two-layer system. Soil state profiles (temperature, moisture and suction) were predicted using daily meteorological data collected in France, from 2004 to 2005. Parametric analyses estimated the effects on soil state profiles caused by changes in initial conditions (soil temperature), hydraulic properties (saturated hydraulic conductivity), model geometry (upper layer thickness), ratio of reflected to incident solar radiation (soil albedo) and characteristics of meteorological data (sampling frequency). For the investigated site, the zone of seasonal fluctuations (ZSF) where the moisture and corresponding suction profiles is influenced by climatic conditions is about 1.5 m. The results also show that calculated average month meteorological values as daily inputs modify significantly the ZSF (about 100%). Predicted soil temperature profiles were in good agreement with measured values.
Experimental Investigation of Soil-Atmosphere Interaction in an Instrumented Embankment Constructed with Two Treated Clays
Authors: Bicalho Kátia V. , Vivacqua Gabriel P.D. , Cui Yu C. , Froumentin Michel , Mercadier Dimitri , Tang Anh M.
Published: June 2022

This paper discusses the field monitoring of an experimental embankment divided into two symmetrical instrumented sections constructed with two clays treated with lime and/or cement in the northeast of France. The soil-atmosphere interaction is investigated in the monitored embankment. The field instrumentation included spatial and temporal changes of the soil suction, moisture, and temperature at predefined locations within the embankment, as well as measurements of meteorological data, collected from April to November 2011. The data show similarities in the suction daily variations trend in the two treated clays. Maximum changes in suction occur near ground surface. Even at the location of -0.75 m from the slope face the interchange of water between the atmosphere and the ground was observed in the daily soil suction measurements. No significant hydrologic response of the soils to rainfall was observed during the period of water deficit. The rainfall events showed a significant effect on the soil suction changes in the initial period of water surplus after a long period of water deficit. The comparison of the period of water deficit observed in the responses of the mean monthly suction and moisture measurements in the treated soils and the one estimated by simple water balance models based on standard meteorological observations in the region indicate that there is an overall qualitative agreement between the modelling and observational results.
Descrição do crescimento em altura de clones híbridos de Eucalyptus em região semiárida utilizando modelos não lineares
Authors: FRUHAUF Ariana Campos , SILVA Édipo Menezes da , GRANATO-SOUZA Daniela , SILVA Edilson Marcelino , MUNIZ Joel Augusto , FERNANDES Tales Jesus
Published: June 2022

O Brasil se destaca mundialmente pelo plantio de florestas homogêneas, principalmente de pinus e eucalipto. A produção florestal tem grande importância para economia do país, sendo também uma referência em sustentabilidade, competitividade e inovação. Dos 10 milhões de hectares de árvores plantadas, 76,3% dessa área é composta pelo gênero Eucalyptus, o que torna o Brasil um dos maiores produtores do mundo desse gênero. O estudo da trajetória de crescimento de árvores desse gênero pode ser um grande aliado no melhoramento dos planos de manejo atualmente utilizados. Neste sentido, o objetivo deste estudo foi comparar o desempenho dos modelos não lineares Gompertz, von Bertalanffy, Brody, Chapman-Richards e Schöngart, os quais foram ajustados através do software R considerando a estrutura de erros autorregressivos de primeira ordem (AR1), aplicados aos dados de altura média, em metros, em relação ao tempo, em meses, totalizando 15 observações obtidas durante seis anos e meio. Utilizou-se as medidas de não linearidade para verificar a adequabilidade das aproximações lineares dos modelos e como critérios para seleção do modelo o  R2, AICC e DPR, sendo o modelo Schöngart (AR1) o que melhor se ajustou aos dados.
SELECTION OF COVARIATES IN A LOGISTIC REGRESSION MODEL FOR THE PREDICTION OF RESISTANCE TO RICE BLAST
Authors: OSSIFO Momate Emate , Lelis Duarte Marciel , CARNEIRO Antônio Policarpo Souza , Santos Vinicios Silva dos , Martins Filho Sebastião
Published: June 2022

Rice (Oryza sativa L.) has been one of the most consumed foods on the planet, with economic and social importance. Diseases, mainly blast, caused by the fungus Pyricularia oryzae, are limiting factors for the production of rice. The present work aimed to select covariables that can influence resistance to rice blast, using the selection strategy proposed by Collett. Logistic regression models were adjusted to predict disease resistance, using the ROC curve to assess the predictive capacity. The data used were obtained from a population of 413 plants, with phenotypic information collected in 82 countries and classified into five subpopulations. The research found that, out of over fifteen variables embedded to assess the disease, only three revealed to be relevant for the final adjusted model, namely: width of flag leaf (V4), the mean number of primary panicle branches (V8) and the amount of amylose from ground grains (V15). The variable V4 presented the most significant influence on disease resistance. Additionally, for each unit increase in V4, V8 and V15, it is expected to obtain 279.3, 31.9 and 9.4% increases, respectively, in the probability of resistance to rice blast.
ALTERNATIVES TO THE CLASSICAL FREQUENTIST CONFIDENCE INTERVAL FOR DESCRIBING ZERO-INFLATED LEAF DISEASE SEVERITY
Authors: Kirch Jhessica Letícia , Ferneda Brena Geliane , Garcia Fernando Henrique Silva , Piedade Sonia Maria de Stefano , Lara Idemauro Antonio Rodrigues de
Published: June 2022

This paper presents the bootstrap percentile interval and the Bayesian credible interval as alternatives to the classical frequentist confidence interval for analysis of zero-inflated data. The indicated methods were applied to soybean downy mildew severity data obtained by stratified sampling in two municipalities in the state of São Paulo: Estiva Gerbi and Piracicaba. The amplitudes of the frequentist and bootstrap percentile confidence intervals were similar. For the Bayesian approach, the credible intervals of the posterior predictive distribution were considered using the zero-inflated beta distribution as likelihood. The credible intervals showed a wider range and included values in the upper bounds of the intervals greater than those observed in the data. We conclude that Bayesian inference is more complex, but allows incorporation of prior information regarding regional and seasonal aspects, contributing to better disease management in the field. When this information is not known, nonparametric bootstrap resampling is a simple alternative to construct intervals for zero-inflated data without assuming the distribution function.
Utilization of Diamond Software as a Measuring Tool for Student Scientific Attitude
Authors: Khusnani Azmi , Sya’bania Nursina , Jufriansah Adi , Donuata Pujianti Bejahida , Ahdiany Dian
Published: June 2022

Solid-state is a compulsory subject in the Physics Education study program. Therefore, the level of complexity—depth—of the material taught is moderate. However, students are facing some obstacles in understanding crystal structure material that is related to microscopic structures. This research aims to apply diamond software media to crystal structure material, from which students' scientific attitudes can be discovered. The method used in this study is the qualitative description. The research subjects totaled 23 students. The data collection technique was carried out by measuring students' scientific attitudes after using the Diamond software. The results showed that the Diamond software could be used in Solid State Physics course. In contrast, the scientific perspective showed good results, which is indicated by the scientific attitude questionnaire score reaching more than 80% within the high category. Meanwhile, student responses indicate that the acceptance rate of Diamond software as a learning medium in Solid State Physics course is 86.25%, or falls into the high category.
Pulmonary bacterial superinfections in covid-19 patients hospitalized for severe acute respiratory syndrome (SARS) in the intensive care unit
Authors: Lamiae Arsalane  , Maria Jaimi  , Kenza El Bazi  , Mouhcine Miloudi  , Youssef El Kamouni  , Said Zouhair  , Abderrahman Boukhira
Published: June 2022

The objective of this study is to describe the bacteriological and biochemical profile of bacterial pulmonary superinfections in COVID 19 patients hospitalized in the ICU (Intensive Care Unit) of the Avicenna military hospital of Marrakech. A descriptive retrospective was study was conducted, including all covid 19 patients admitted to the intensive care unit for respiratory distress syndrome. 338 samples were tested of which 118 came back positive. Of the 118 samples, 82 (69.5%) were BAL and 36 (30.5%) sputum. None of the PDPs, bronchial aspirates, and pleural punctures came back positive. The most frequently found germs are: Acinetobacter baumanii at 28.8%, followed by K. pneumoniae at 18.6%, Pseudomonas aeruginosa, and Staphylococcus aureus (14,4% each). Multi-drug resistant bacteria were found in 62 samples (52%). The most frequent MDR-bacteria were: Acinetobacter baumanii resistant to imipenem (29/118) 24.8%. The CRP (C-reactive protein) achieved in all our patients was high in 100% of cases. Values ​​ranged from 30 to 564 mg/L with an average of 195.13 mg/L. Meanwhile, Procalcitonin performed in 55 of our patients (72% of cases) was positive in 45 patients (82% of cases). Values ​​ranged from 0.1 to 60 ug/L with an average of 11.19 ug/L.