bluuebunny/crossref_metadata_2025 huggingface dataset:
Pengaruh Customer Trust dan Customer Satisfaction Terhadap Brand Loyalty Melalui E-WOM
Authors: Abdul Hamid  , Mokhammad Natsir  , Harianto Respati
Published: July 2022

(English Version)

In the midst of the times, the competition is very tight, making the company trying to maintain its business continuity. So, producers should seek various ways to maintain customer satisfaction and loyal customers to AFB Advertising. The type of research used is explanatory research. The population in this study is AFB Advertising customer. The sample technique used purposive sampling as many as 105 people as respondents. This study uses a questionnaire as a data collection instrument whose results will be analyzed using the Structural Equation Model (SEM) equation model with path analysis. The results of his research show that: (1) Customer trust and customer satisfaction have a significant effect on brand loyalty through E-WOM which has an E-WOM beta coefficient value of (α = 0.05). (2) Customer trust is determined by trusting belief and trusting intention. Then, customer satisfaction is determined by service quality, personal selling and complaint handling. However, E-WOM is determined by intensity, valence of opinion and content. Brand loyalty is determined by information sharing, positive information, Friend recomendation, and continuing purchase. Then, Brand Loyalty affects Share Information.

 

(Versi Indonesia)

Di tengah perkembangan zaman persaingan sangat ketat menjadikan perusahaan berupaya untuk mempertahankan kelangsungan bisnisnya. Sehingga produsen harus mengupayakan berbagai cara untuk menjaga kepuasan konsumen dan pelanggan yang setia terhadap AFB Advertising. Jenis penelitian menggunakan penelitian eksplanatori dengan populasi dari customer AFB Advertising. Teknik sampel menggunakan purposive sampling sebanyak 105 orang sebagai responden. Penelitian ini menggunakan kuesioner sebagai instrumen pengumpulan data yang hasilnya akan dianalisis dengan menggunakan model persamaan Structural Equation Model (SEM) dengan Path Analysis. Hasil penelitiannya menunjukkan bahwa: (1) Customer Trust dan Customer Satisfaction berpengaruh signifikan terhadap brand loyalty melalui E-WOM memiliki nilai koefisien beta E-WOM sebesar (α = 0,05); (2) Customer trust ditentukan oleh Trusting Belief dan Trusting Intention, Customer Satisfaction ditentukan oleh service quality, personal selling dan complain handling serta E-WOM ditentukan oleh Intensity, Valence Of Opinion dan Content kemudian Brand Loyalty ditentukan oleh Share Information, Say Positif Things, Recommended Friends dan Continue Purchasing. Brand Loyalty berpengaruh terhadap Share Information.
Hubungan Karakteristik Pekerjaan, Kompensasi, dan Kepemimpinan Transformasional, terhadap Kinerja Operasional
Authors: Santoso Sugeng , Minanda Ratih , Swastantomo Rizki , Kusnadi Kusnadi , Syarifah Linda
Published: July 2022

(English Version)Readymix concrete is a common product that produce in plant that called batching plant, every batching plant must have Operational Performance required by design to ensure that product received well at the right time and the right grade to the project. This research purpose is to analyze work characteristic (1), compensations (2), and leading style (3) compare with operational Operational Performance (4) starts from raw material receiving to concrete delivery. Technic sampling method is using quota technics sampling with 80 respondence. This research population collected from PT XYZ readymix concrete company in Regional Banten that have 8 batching plants across. This need to be analyse in a written research due operational production activity needs to improve Operational Performance at PT XYZ company.Indo (Version)Beton siap pakai adalah produk umum yang diproduksi di pabrik yang disebut batching plant. Semua pabrik campuran harus memiliki kinerja operasional yang diperlukan untuk memastikan bahwa produk diterima dengan baik pada waktu  dan

kualitas yang tepat untuk proyek tersebut. Penelitian ini bertujuan membandingkan karakteristik pekerjaan (1) penghargaan (2) gaya kepemimpinan (3) dan kinerja manajer (4), mulai dari penerimaan bahan baku hingga pengiriman beton. Sebagai metode pengambilan sampel, kami mengadopsi metode pengambilan sampel kuota sebanyak 80 responden. Subyek penelitian ini berasal dari perusahaan beton siap pakai PTXYZ di pedesaan Banten, dimana terdapat delapan mixing plant yang tersebar. Hal ini perlu dianalisis dalam sebuah studi tertulis karena operasi manufaktur perlu meningkatkan kinerja operasional di PTXYZ.
Improving ‘TAS’ Performance With Competence, Implementation of SOP, Work Environment and Utilization Of Ergo-Iconic Service Value
Authors: Sumarni Sumarni , Andriyansah Andriyansah , Suryanto Adi
Published: July 2022

(Versi Indonesia)

Penelitian ini bertujuan untuk menganalisa apakah hipotesis dalam penelitian ini mampu menunjukan bahwa variabel-variabel dalam penelitian ini memiliki korelasi terhadap Peningkatan Kinerja Tenaga Administrasi Sekolah (TAS). Penelitian ini memiliki variabel yang masih kebaruan dalam penelitian manajemen SDM yakni Pemanfaatan Nilai Pelayanan Ergo-ikonik, dengan obyek penelitian terdiri dari sembilan SMA dan delapan SMK Negeri di Kab.Wonosobo dengan jumlah responden sebanyak 165 orang. Desain Penelitian kuantitatif dengan jenis penelitian survey. Pengumpulan data dengan link google form dan analisis data dengan software SmartPLS versi 3.3..Hasil penelitian menunjukan bahwa secara langsung : Kompetensi,implementasi SOP, lingkungan kerja memiliki korelasi positif dan signifikan terhadap Peningkatan Kinerja TAS, dan juga memiliki korelasi positif dan signifikan terhadap pemanfaatan nilai pelayanan ergo ikonik. Kompetensi, implementasi SOP, lingkungan kerja memiliki korelasi lebih kecil terhadap peningkatan kinerja TAS dibanding pengaruh langsung jika dimediasi Pemanfaatan nilai pelayanan ergo-ikonik

(English Version)

      This study aims to analyze whether the hypothesis in this study is able to show that the variables in this study have a correlation to the Performance Improvement of School Administrative Personnel (TAS). This study has a variable that is still new in HR management research, namely the Use of Ergo-iconic Service Values, with the object of research consisting of nine SMA and eight State Vocational Schools in Wonosobo Regency with a total of 165 respondents. The research design is quantitative with the type of survey research. Data collection using google form links and data analysis using SmartPLS software version 3.3. iconic ergo service. Competence, SOP implementation, work environment have a smaller correlation to improving TAS performance than the direct effect if mediated. Utilization of ergo-iconic service values.
Peranan Kepuasan Kerja Sebagai Variabel Intervening Antara Kompetensi dan Budaya Organisasi Terhadap Kinerja Pegawai Kantor Distrik Navigasi Kelas III Sibolga
Authors: Hasugian Sustih
Published: July 2022

Abstract English VersionThis study aims to obtain empirical data, facts, and valid and reliable informationabout the influence of organizational culture, competence and learning on employeeperformance, causal studies at the Class III Navigation District Office, Sibolga. This researchwas conducted using a quantitative research approach, using a survey method, carried outfrom January 2022 to March 2022, including pre-survey activities, consolidation, testinginstruments through validity testing and reliability calculations, as well as collecting andprocessing research data. The sample of this research is the entire population that isaffordable, and has the same characteristics, namely as many as 109 state civil servantswith 86 state civil servants in the Sibolga Class III Navigation District Office for the researchsample, which is taken simple randomly, with the number of respondents from all over thearea. state civil servants who meet the research requirements. Measurements in this studywere carried out by giving the value of each question item from all variables, the measure ofthe value given in each statement using the "Likert scale". Data from questionnaires wereanalyzed for data analysis. To prove the influence of the variable Competence (X₁) andOrganizational Culture (X2) on Job Satisfaction (Y) and its implications for performance (Z) inthis study, data analysis techniques were carried out using Path Analysis

Abstrak versi Indonesia

Penelitian ini bertujuan untuk mendapatkan data empiris, fakta, dan informasi yangshahih (valid) dan benar, serta dapat dipercaya (reliabel) tentang Pengaruh BudayaOrganisasi, Kompetensi dan Pembelajaran terhadap Kinerja Karyawan, studi kausal diKantor Distrik Navigasi Kelas III Sibolga. Penelitian ini dilakukan dengan menggunakanpendekatan penelitian kuantitatif, dengan menggunakan metode survei, dilakukan mulaibulan Januari 2022 sampai dengan bulan Maret 2022, meliputi kegiatan pra survei,konsolidasi, uji coba instrumen melalui uji validitas dan perhitungan reliabilitas, sertapengumpulan dan pengolahan data hasil penelitian. Sampel penelitian ini adalah seluruhpopulasi yang terjangkau, dan berkarakter sama, yaitu sebanyak 109 orang aparatur sipilnegara dengan 86 orang aparatur sipil negara di lingkungan Kantor Distrik Navigasi Kelas III Sibolga untuk sampel penelitian, yang diambil secara acak sederhana, dengan pengundiannomor responden dari seluruh aparatur sipil negara yang memenuhi syarat penelitian.Pengukuran dalam penelitian ini dilakukan dengan memberikan nilai dari setiap butirpertanyaan dari semua variabel, ukuran nilai yang diberikan dalam setiap pernyataanmenggunakan ”Skala Likert”. Data yang berasal dari penyebaran kuesioner dilakukananalisis data. Untuk membuktikan Pengaruh variabel Kompetensi (X₁) dan BudayaOrganisasi (X2) terhadap Kepuasan Kerja (Y) dan implikasinya terhadap Kinerja (Z) padapenelitian ini, dilakukan teknik analisis data dengan Analisis Jalur (Path Analysis).
Mobile Robot for Automated Storage & Retrieval System
Authors:   Student, Department of Mechanical, MIT School of Engineering, MIT ADT University, Loni Kalbhor, Pune (Maharashtra), India., Zagade Suyash , Patle Prof. Dr. B.K. ,   Professor, Department of Mechanical, MIT School of Engineering, MIT ADT University, Loni Kalbhor, Pune (Maharashtra), India.
Published: July 2022

The automated storage and retrieval systems (ASRS) are major material handling support systems that are commonly used in the automated factories, distribution centers, warehousing, and non-manufacturing environments. These robot-based handling systems are increasingly applied in distribution centers and are of high demand in e-commerce operations because of their less space requirement, higher operational flexibility and continuous ability to work thereby continuously produce output 24/7. The study will be focused on the advantages and applications of this robotic system in the Automated Storage & Retrieval System, thereby comparing it with the robot operating on the ground.
EFFECTIVITY OF SENGGANI LEAF EXTRACT (Melastoma candidum D.Don) ON BACTERIA Staphylococcus Epidermidis
Authors: Suwita Safira , Meldawati Meldawati
Published: July 2022

Abstrak Tanaman Senggani (Melastom Candidum D.Don) merupakan salah satu tanaman liar yang terdapat diseluruh Indonesia dan memiliki banyak khasiat. Kebaruan dalam penelitian ini adalah efektivitas ekstrak daun senggani (melastoma candidum d.don) terhadap bakteri staphylococcus epidermidis. Penelitian ini bertujuan untuk mengetahui efektivitas ekstrak daun senggani (Melastoma Candidum D.Don) terhadap bakteri Staphylococcus Epidermidis. Dalam pengujian antibakteri menggunakan konsentrasi ekstrak 20%, 40%, 60%, 80%, 100%. Sebagai kontrol positif menggunakan Clindamycin dan sebagai kontrol negatif menggunakan DMSO. Metode penelitian menggunakan metode difusi cakram. Hasil uji skrining fitokimia membuktikan bahwa daun senggani memiliki kandungan senyawa flavonoid, fenol, saponin, tannin, steroid dan terpenoid. Dan untuk hasil penelitian menunjukkan zona hambat terbesar pada konsentrasi 100% yaitu 18,37 mm, dan untuk zona hambat terkecil didapatkan pada konsentrasi 20% yaitu 14,76 mm. Ekstrak daun senggani memiliki aktivitas antibakteri terhadap staphylococcus epidermidis dengan kategori kuat. Kata kunci: Antibakteri; Eksrak; Melastoma candidum D.Don; Staphylococcus epidermidis.  Abstract Senggani Plant (Melastom Candidum D.Don) is one of the wild plants found throughout Indonesia and has many properties. The novelty in this research is the effectiveness of senggani leaf extract (Melastoma candidum d.don) against Staphylococcus epidermidis bacteria. This study aims to determine the effectiveness of senggani leaf extract (Melastoma Candidum D.Don) against Staphylococcus Epidermidis bacteria. In antibacterial testing using extract concentration 20%, 40%, 60%, 80%, 100%. As a positive control using Clindamycin and as a negative control using DMSO. The research method uses the disc diffusion method. Phytochemical screening test results prove that senggani leaves contain flavonoid compounds, phenols, saponins, tannins, steroids and terpenoids. The results showed the largest inhibition zone at 100% concentration of 18.37 mm, and for the smallest inhibition zone obtained at a concentration of 20% is 14.76 mm. Senggani leaf extract has antibacterial activity against staphylococcus epidermidis with a strong Category.
An Ability of Translating Covid-19 Related Article of English Department Student on Teaching and Education Faculty
Authors: Yusuf Feby Meuthia , Sari Amalya Widya
Published: July 2022

This research is motiyated by the difficulties of students in translating article related COVID-19 from English into Bahasa Indonesia. The purpose of this study was determine by the ability of students in translating article. The method used in this research was descriptive gualitative method. In this research, the member of the population member was 14 students, the population was the students from English department 15"-17" academic year of Universitas Ekasakti. The sample of this research was total sampling. Instrument that use in this research was translating an article related COVID-19. This data obtained from the result of test given to students, the authors found the value of three criteria of translating skill in article COVID-19, 'Accuracy, Grammatically and Eguivalence, It can be coneluded that the ability of students Accuracy is high, obtained 13 from 14 students got high score (92.86) and Grammatically there are 13 from 14 students got high score (92.890) and Eguivalence there are 13 from 14 students got high score (92.896). Based in the research analysis, the researcher was suggested to Translation lecturer give students more task and practice their translation skill. Thus, the students are trained in translating,
Information-Theoretic Bounds for Steganography in Multimedia
Authors: Mohamed Hassan , Abdelaziz Amr , Elliethy Ahmed , Aly Hussein A. , Gulliver Aaron
Published: July 2022

Steganography in multimedia aims to embed secret data into an innocent looking multimedia cover object. This embedding introduces some distortion to the cover object and produces a corresponding stego object. The embedding distortion is measured by a cost function that determines the detection probability of the existence of the embedded secret data. A cost function related to the maximum embedding rate is typically employed to evaluate a steganographic system. In addition, the distribution of multimedia sources follows the Gibbs distribution which is a complex statistical model that restricts analysis. Thus, previous multimedia steganographic approaches either assume a relaxed distribution or presume a proposition on the maximum embedding rate and then try to prove it is correct. Conversely, this paper introduces an analytic approach to determining the maximum embedding rate in multimedia cover objects through a constrained optimization problem concerning the relationship between the maximum embedding rate and the probability of detection by any steganographic detector. The KL-divergence between the distributions for the cover and stego objects is used as the cost function as it upper bounds the performance of the optimal steganographic detector. An equivalence between the Gibbs and correlated-multivariate-quantized-Gaussian distributions is established to solve this optimization problem. The solution provides an analytic form for the maximum embedding rate in terms of the WrightOmega function. Moreover, it is proven that the maximum embedding rate is in agreement with the commonly used Square Root Law (SRL) for steganography, but the solution presented here is more accurate. Finally, the theoretical results obtained are verified experimentally.
A 1-to-8 Fully Modular Stacked SIW Antenna Array for Millimeter-Wave Applications
Authors: Segura-Gómez Cleofás , Palomares-Caballero Ángel , Padilla Pablo
Published: July 2022

This paper presents a vertically stacked SIW antenna array that enables different array configurations with the minimum number of SIW layers. This achievement lies in the modular feature offered by the proposed design. Specifically, 4 distinct array configurations can be produced with only 3 different design of SIW layers. Depending on the number of SIW layers employed in the stacked antenna, the directivity in the E-plane is modified. To obtain an equal and in-phase power distribution among the array elements, H- and E-plane corporate feeding networks are efficiently implemented in each array configuration. Array configurations of 1, 2, 4 and 8 radiating layers are offered by the proposed modular array, where each radiating layer is formed by 8 H-plane horn antennas. The simulated directivity for the array configurations ranges from 15.8 dBi to 23.8 dBi and the main beam direction remains fixed along the operating frequency range. The array design has been manufactured and agreement between simulated and measured results are observed. The measured impedance bandwidth in all the array configurations is from 35 GHz to 41 GHz (15.79% bandwidth) with a reduction in the E-plane beamwidth as the number of radiating layers increases.
Offset Printer Automation; An Industrial Revolution
Authors: Blathur Sheriff
Published: July 2022

This is a result obtained from the R&D which have been done in the middle east market with Offset Printer automation system. Offset Printers are now getting fully automated with CIP3 Closed Loop systems. The article clearly describes about the working process, advantages and limitations of the system. The reasearch done by myself.
Low-Cost Shoulder Drop-off Prediction for Highways Using Learning-Based Methods
Authors: Khanapuri Eshaan , Manasreh Dmitry , Rechtin Michael , Sharma Rajnikant , Kim Donghoon , Nazzal Munir
Published: July 2022

One of the critical components of pavement structures are shoulders which provide lateral support to the entire pavement structure. The vertical elevation between pavement structure surface and adjacent shoulder surface results in roadway edge drop-off. Shoulder drop-off can affect the vehicle's stability and driver's ability to handle the vehicle resulting in fatalities or damage, which is also one of transportation agencies' most cited accident-related highway conditions. The maintenance staff of state transportation departments visually inspect the shoulders at near highway speeds, which might be challenging and involves human judgment, affecting the assessment's accuracy and reliability. In this work, we provide a lost-cost solution to automate the process of shoulder drop-off assessment. Our approach analyzes the point cloud data acquired from a 3D solid-state LIDAR sensor mounted on a car traveling at highway speeds. We have explored statistical, machine learning, and end-to-end deep learning methods to predict the vertical elevation of shoulder drop-off with accuracy greater than 95$\%$. We have validated the accuracy of proposed learning-based methods with actual data collected using inexpensive LIVOX LiDAR and an Astra camera along various highway sections. 
Design of A Doubly-Fed Linear Motor Based on Three-Phase Stator and Five-Phase Mover for High-Speed Maglev Applications
Authors: Yang Minglei , Shao Zhongshu , Wang Yeqin , Zhong Zaiming , Xiao Qinghao
Published: July 2022

 The high-speed maglev train based on the doubly-fed linear motor (DFLM) has the potential advantages to achieve suspension, traction, and contactless power transfer simultaneously, which improves the reliability of the maglev system and system cost. However, there is still a lack of relevant designs of the doubly-fed linear motor to meet critical requirements for practical high-speed maglev applications, e.g., the low fluctuations of the levitation and thrust forces. In this paper, based on the performance of the German TR08 maglev train, finite element analysis (FEA) technology is used to investigate the effects of different pole-slot combinations and multi-phase winding structures on the suspension force and thrust force of the doubly-fed linear motor. A doubly-fed linear motor topology based on 36-slot 12-pole three-phase stator and 20-slot 12-pole five-phase mover is proposed, which can greatly reduce the fluctuations of suspension and thrust forces, and its performance is close to the level of TR08 maglev train. Finally, the performance of the contactless power transfer for the DFLM is analyzed. 
Quasi-synchronous Operation Principle of a Variable-Airgap Doubly-fed Linear Motor for High-Speed Maglev Application
Authors: Zhong Zaiming , Shao Zhongshu , Yang Minglei , Wang Xiusen , Xiao Qinghao , Wang Yeqin
Published: July 2022

Compared to a long-stator linear synchronous motor (LLSM), a long-stator doubly-fed linear motor (DFLM) exhibits two distinct advantages for high-speed maglev application: 1) It has two additional degrees of freedom with both the frequency and the phase angle of the mover to improve its control accuracy and dynamic responses; 2) It can use the slip power to feed the mover contactlessly and directly. In order to achieve the propulsion, the levitation, and the contactless power transfer through the common air-gap magnetic field, the “quasi-synchronous operation (QSO)” principle of the DFLM is proposed for high-speed maglev train. Based on the DFLM modeling and distinctive constraints for maglev train, the operation point analysis of the performance evaluation is further investigated. To validate the feasibility of the DFLM application for high-speed maglev train, a unit DFLM prototype is designed and tested, and the corresponding simulation studies of the QSO control structure are investigated.
Compendium of Data Security in Cloud Storage By Applying Hybridization of Encryption Algorithm
Authors: Gupta Ishu , Gurnani Deeksha , Gupta Neha , Singla Caffy , Thakral Prateek , Singh Ashutosh Kumar
Published: July 2022

This paper is about preserving the Cloud data whose idea is to cure everyday problems with computing. Cloud computing is fundamentally pooling the resources virtually and the resources like storage are provided to the end-users through the web. Information preservation, security, uniform quality, and interoperability are some issues related to cloud computing. However, the most essential issue is Security and how it is ensured by a cloud supplier. Security of data can be offered by means of cryptography. This paper presents an improved composite data protection mechanism to protect data on the cloud from illegitimate access.
ProxySense: A novel approach for gas concentration estimation using Long Short-Term Memory Recurrent Neural Network (LSTM-RNN)
Authors: Okafor Nwamaka , Delaney Declan , Mathew Ugochukwu
Published: July 2022

When equipped with a reliable calibration model, Low-Cost Sensor (LCS) can be relied upon as an effective option for gas concentration estimation, providing robust and high spatio-temporal resolution data to replace large-scale analytical instruments. In this paper, we present ProxySense, a rapid and efficient approach for gas concentration estimation. The ProxySense pipeline consists of gas sensing unit made up of array of metal oxide LCS, data pre-processing including an effective approach based on Variatioanl Autoencoders (VAE) for handling missing sensor data and Long Short Term Memory Reccurrent Neural Network (LSTM-RNN) prediction model. We investigate the capability of ProxySense in exploiting the deep characteristics that exist in multi-sensors’ responses to predict the concentration of a gas for which no specific sensor is included in a multi-sensor device. We evaluated ProxySense for benzene (C6H6) and carbon monoxide (CO) concentration predictions and compared the performances to multiple baselines by means of prediction error characterization. We further studied the relationship between model performance and training length and showed ProxySense to be highly accurate for gas concentration prediction even for small number of training period.
Runtime Evolution of Bitcoin's Consensus Rules
Authors: Svennevik Notland Jakob , Nowostawski Mariusz , Li Jingyue
Published: July 2022

The manuscript has been submitted to IEEE TSE.
A new 6D discrete system and its Arduino Uno implementation with LED visualization
Authors: Kopp Michael
Published: July 2022

In this paper, to demonstrate the chaotic behavior of a new 6D discrete system, the modern Matlab-Simulink software environment was used. We have obtained a discrete 6D chaotic system by the Euler method from a continuous 6D system of dynamic equations. In the Matlab-Simulink environment, models for continuous and discrete 6D systems of equations were created, and the results were identical. To demonstrate the synchronization of two unidirectional connected continuous and discrete 6D systems, Simulink models were proposed.  A discrete 6D system was applied for the chaotic masking of a narrow-band harmonic signal and image encryption. 

For visualizing and practical realization of the new chaotic discrete system we used Arduino Uno board and six light-emitting diodes (LEDs). 

The programming code and connecting technique are also shown. The program code was debugged into the free Arduino simulation environment such as Tinkercad. Compiling hex. file in the program software Arduino IDE allows us to simulate a 6D chaotic system using the Arduino Uno microcontroller in the Proteus 8 environment. 
A framework for cost, profit, and pricing evaluation of cloud native CPU resources
Authors: Tonini Federico , Natalino Carlos , Temesgene Dagnachew , Ghebretensaé Zere , Wosinska Lena , monti Paolo
Published: July 2022

Online service provisioning involves two main entities, i.e., cloud providers renting cloud resources to service providers. In this process, the service provider would like to minimize its costs, while the cloud providers seek ways to increase their profit. Novel container orchestration platforms like Kubernetes allow deploying services on the same physical or virtual (e.g., virtual machines) infrastructure while delivering both hard and soft resource isolation. When the soft resource isolation is allowed, guaranteed (or request) resources of one service can be used (if idle) by another one as limit resources, for short time intervals in a best-effort manner. The use of limit resources represents an extra font of revenue for the cloud provider to charge different service providers for the same resources. At the same time, soft isolation allows service providers to decrease the number of request resources and rely on more limit resources, paid only when accessed, reducing the overall resources needed. Therefore, soft resource isolation has potential benefits for both cloud and service providers. To enable these benefits, the price of limit resources should be carefully set by the cloud provider to generate, on one hand, extra profits and, on the other, be appealing to service providers. This paper proposes a framework for evaluating the pricing window for the limit resources under which it is possible to reduce the cost for service providers and increase the profits of cloud providers. Results in a sample simulated scenario show that by pricing limit resources within six to twelve times the request resources, cloud and service providers can achieve financial gains in the order of 10%-20%.
ICD:VHR oriented interactive change detection algorithm
Authors: Jiang Zhuoran , Zhou Xinxin , Cao Wei , Sun Zaihong , Wu Changbin
Published: July 2022

In recent years, deep learning has become the mainstream development direction in the field of change detection, and its accuracy and speed have also reached high levels. However, a change detection method based on deep learning cannot accurately predict all change areas, and its applicability is limited due to local prediction defects. For this reason, we propose an interactive change detection (ICD) network for very-high-resolution (VHR) remote sensing images based on a deep convolutional neural network. Positive and negative click information is integrated in the distance layer of the change detection network, and users can correct prediction defects by adding clicks. We carry out experiments on the open source WHU dataset and the homemade GTMAP-ICD dataset. By adding clicks, the F1 coefficients achieved on these dataset can reach 0.833 and 0.819, respectively, which are 5.8% and 5.3% higher than those of the original network. To better evaluate the correction ability of clicks, we propose an evaluation index, the click correction range, which is suitable for the evaluation of clicks, and we carry out experiments on the above models. The results show that the method of adding clicks can effectively correct prediction defects and improve the accuracy of the obtained results. 
LoFFT: Low-voltage FFT Using Lightweight Fault Detection for Energy Efficiency
Authors: Safarpour Mehdi , Silven Olli
Published: July 2022

 A simple method for enabling low-voltage energy efficiect operation such that is provided by near-threshold and sub-threshold votlage regions. This method supports Fast Fourier Transform to operate at very low voltage and detects if any computational errors occur. When an error is detected, the voltage is adjusted so that errors are removed. In this manner, always the lowest votlage and highest freqeuncy of operation is achieved. In this paper, on an exprimental platform we demonstrated the utility of the approach. Other platforms will have more or less same results.
Racial Bias in Computer Vision via Convolutional Neural Networks
Authors: Srivastava Kunal , Lim Sean , Chan Connor
Published: July 2022

We analyzed the widely popular UTKFace dataset to implement a Convolutional Neural Network (CNN) algorithm, used to predict gender given an image of the human. Over the course of the experiment, we observed various statistics of the dataset, to give a strong representation of what could drive the results our model returned. By further investigating the current policy as it comes to data collection and privacy, we hope to suggest practices that will lead humanity to a safer, more equal future. Through the analysis of images from popular datasets, optimization of machine learning models, and the changing information industry standards, we aim to find and assess a difference in accuracies of gender-prediction models when it comes to race.
Hubungan Self Concept dan Self Esteem dengan Prokrastinasi Akademik Siswa Kelas X SMAN 8 Balikpapan
Authors: Sulistyani Sulistyani , Waskitoningtyas Rahayu Sri , Ismiyati Nur
Published: July 2022

Penelitian ini bertujuan untuk meneliti hubungan antara self concept dan self esteem dengan prokrastinasi akademik siswa. Jenis penelitian ini adalah penelitian expost facto dengan populasi penelitian yaitu siswa kelas X SMA Negeri 8 Balikpapan tahun ajaran 2019/2020. Pengambilan sampel dilakukan dengan teknik simple random sampling. Sampel dalam penelitian ini berjumlah 106 siswa. Teknik pengumpulan data dalam penelitian ini yaitu angket dan dokumentasi. Data penelitian yang terkumpul kemudian dianalisis dengan mengunakan uji korelasi product moment pearson dan analisis korelasi berganda. Hasil analisis data menunjukkan bahwa terdapat hubungan yang signifikan antara self concept dengan prokrastinasi akademik siswa dengan koefisien korelasi () atau tingkat hubungan tergolong sedang. Selanjutnya diperoleh bahwa ada hubungan yang signifikan antara self esteem dengan prokrastinasi akademik siswa dengan koefisien korelasi () atau tingkat hubungan tergolong sedang. Selain itu, hasil analisis data juga menunjukkan bahwa secara bersama-sama, ada hubungan yang signifikan antara self concept dan self esteem dengan prokrastinasi akademik siswa dengan koefisien korelasi () atau tingkat hubungan tergolong tinggi.
PENERAPAN MODEL PEMBELAJARAN QUANTUM LEARNING UNTUK MENINGKATKAN KETERAMPILAN MEMBACA PEMAHAMAN
Authors: Mustamiroh Mustamiroh , Octaviani Nor
Published: July 2022

Penelitian ini dilatarbelakangi oleh keterampilan membaca merupakan salah satu aspek yang harus dikuasai siswa selain dari ketiga keterampilan yang ada yakni mendengar/menyimak, menulis dan berbicara. Melalui keterampilan membaca siswa akan memperoleh dan menambah pengetahuan serta wawasan baru yang akan meningkatkan kecerdasannya. Penelitian ini bertujuan untuk mengetahui penerapan model pembelajaran Quantum Learning dapat meningkatkan keterampilan membaca pemahaman siswa kelas IV SD. Jenis penelitian ini adalah Penelitian Tindakan Kelas. Prosedur penelitian yaitu perencanaan tindakan, pelaksanaan tindakan, pengamatan, dan refleksi. Teknik pengumpulan data dalam penelitian ini menggunakan observasi, tes, dan dokumentasi. Analisis data dalam penelitian ini menggunakan rumus rata-rata, rumus persentase, dan rumus peningkatan hasil belajar. Hasil penelitian menunjukkan bahwa keterampilan membaca pemahaman siswa mengalami peningkatan pada setiap siklusnya. Peningkatan hasil belajar pada pra siklus nilai rata-rata 56,29 mengalami peningkatan pada siklus I sebesar 68,88 dan pada siklus II mengalami peningkatan sebesar 82,22. Persentase ketuntasan hasil belajar siswa pada pra siklus sebesar 40,74%, pada siklus I meningkat menjadi 62,96% dan pada siklus II meningkat menjadi 81,48%. Persentase peningkatan hasil belajar dari pra siklus ke siklus I sebesar 22,36%, pada siklus I ke siklus II sebesar 18,52%. Kesimpulan dari penelitian ini menunjukkan bahwa penerapan model pembelajaran Quantum Learning dapat meningkatkan keterampilan membaca pemahaman.
PENGELOLAAN PEMBELAJARAN ON-LINE ERA PANDEMIK COVID 19 DI SMA
Authors: Casmudi Casmudi , Sugianto Sugianto
Published: July 2022

Latar  belakang masalah penelitian ini yaitu, adanya penetapan  status Kalimantan Timur sebagai daerah bahaya pandemi Covid-19.sehingga terjadi perubahan mendasar aktivitas Pendidikan di SMA Negeri 8 Kabupaten Penajam Paser Utara. Perubahan mendasar itu menimbulkan kecemasan, ketidakpastian terhadap guru, para peserta didiknya dan orangtua untuk menghadapi Pembelajaran Jarak Jauh (PJJ) (online) agar siswa tidak tertular Covid 19.  kekhawatiran karena ketidaksiapan guru dengan peserta didiknya,  pertemuan tatap muka (PTM) ke pembelajaran jarak jauh (PJJ) model online. Tujuan Penelitian ini mengungkap  (1) pengelolaan Pembelajaran online (2)  efektivitas pengelolaan pembelajaran online, (4) Penanganan hambatan PJJ online.  Metode Penelitian  ini menggunakan pendekatan diskreptif kualitataif dengan menggunakan observasi dan awaancara terstruktur, melibatkan sebagian besar guru SMA Kota Balikpapan dan Kabupaten Penajam Paser Utara .Hasil Penelitian menunjukkan (1) pengelolaan pembelajaran online terdiri Perencanaan PJJ, (84), Pelaksanaan (81,58) dan Evaluasi (86) sehingga rata-rata dicapai (83,86)  teramasuk sangat baik  (81-100%), dengan aspek efektivitas rata-rata (83,86) didukung dengan penggunaan media GC (27%),GF (26%), GM (20%), dan WA (27%)  sangat efektif. Penanganan hambatan PJJ kategori ringan (56%),klasifikasi sedang (31%,) dan kategori berat (13%). Kesimpulan pengelolaan PJJ online berdasar kan  analisis SWOT memperhatikan kekuatan internal dan tantangan pihak ekternal. Pemberdayaan dan komunikasi efektif guru mata pelajaran , wali kelas dan guru BK  kepada para siswa dan orangtua walinya,
LEGENDA SIBORU LOPIAN DI DESA ONOM HUDON KECAMATAN PARLILITAN KABUPATEN HUMBANG HASUNDUTAN KAJIAN FOLKLOR
Authors: Gurning Roberto , Damanik Ramlan
Published: July 2022

Karya ilmiah ini berjudul “Legenda Siboro Lopian di Desa  Onom Hudon Kecamatan Parlilitan Kabupaten Humbang Hasundutan Kajian Folklor” . dalam karya ilmiah ini membahas bagaimana Legenda Siboru Lopian di Desa Onom Hudon serta nilai-nilai budaya yang terkandung didalamnya, serta fungsi kepercayaan rakyat terhadap legenda Siboru Lopian. Sumber data maupun informasi mengenai Siboru Lopian didapat dari Buku yang berjudul “Lopian Putri Sisingamangaraja XII” serta beberapa sumber lainnya seperti wawancara secara langsung di Desa Sionom Hudon. Teori yang digunakan dalam skripsi ini adalah teori folklor dengan melihat nilai budaya yang terkandung dalam legenda tersebut. Adapun hasil yang didapat adalah bahwa legenda Siboru Lopian mulai terlupakan oleh masyarakat  bahkan di Desa Sionom Hudon tersebut. Siboru Lopian merupakan seorang wanita pejuang dari tanah Batak. Ritual terhadap Sisingamangaraja XII sudah mulai dilupakan. Parmalim merupakan aliran kepercayaan disaat itu. Kematian Sisingamangaraja XII disebabkan oleh darah Siboru Lopian yang terkena kepada dirinya. Pasukan Sisingamangaraja XII tewas oleh pasukan Belanda.
Direito Cosmopolita e Direitos Humanos
Authors: Leão Anabela Costa
Published: July 2022

No seu livro A cosmopolitan legal order. Kant, constitutional justice, and the European Convention on Human Rights (Oxford University Press, 2018), Alex Stone Sweet e Clare Ryan partem da conceção kantiana e seus reflexos na teoria constitucional para explicar a emergência do que designam por ordem jurídica cosmopolita (cosmopolitan legal order) que, na Europa, se desenvolveu sob a égide da Convenção Europeia dos Direitos Humanos (1950) e da jurisprudência do Tribunal Europeu dos Direitos Humanos. Esta ordem jurídica cosmopolita, para os autores, é um sistema jurídico multinível transnacional no qual os indivíduos são titulares de direitos justiciáveis, cabendo a todas as entidades públicas o dever de efetivar os direitos fundamentais daqueles que se encontram sob a sua jurisdição, sob supervisão de juízes nacionais e transnacionais.Neste trabalho, parte-se da análise desta proposta para, de seguida, refletir sobre alguns modelos de constitucionalismo global assentes em direitos como o modelo proposto por Kai Möller em The global model of constitutional rights (Oxford University Press, 2012). Termina-se com uma análise crítica das condições de possibilidade de um modelo cosmopolita de direitos humanos e fundamentais capaz de articular unidade e diversidade e assente em dimensões substanciais, institucionais e procedimentais.
The Combined Therapy of Insulin and Zinc Improves Glucose Uptake and Utilization by Testicular Cells in Diabetic Rats
Authors: A Ujah, G. , B Emmanuel, I. , D Abim, , J Ani, E. , E Osim, E.
Published: July 2022

Glucose uptake by the Sertoli cells of the testes is essential for spermatogenesis. Diabetes mellitus (DM) alters the uptake and utilization of glucose by the testicular cells. This manifests as one of the causes of male subfertility/infertility in diabetes mellitus. With onset of complications even before diagnosis, especially in developing countries, there may be need for therapy beyond the standard therapy. Five normal and twenty diabetic male rats were assigned into groups as follows; normal control had five normal rats with access to food and water only. DM group had five diabetic rats with no treatment. DM and insulin group had five diabetic rats and given subcutaneous insulin twice daily. DM and zinc group had five diabetic rats and given 10mg/kg oral zinc. The final group had five diabetic rats and given both insulin and zinc as above. Treatments in all cases only commenced after fourteen days. Testes were harvested after ten days of treatment for assay. DM decreased both glucose and lactate in the testes. Insulin and zinc improved the uptake of glucose and its utilization as evident in increased production of lactate.
Recent Advancement of Cyber Security: Challenges and Future Trends in Bangladesh
Authors: Rahaman Major Muhammad Masudur
Published: July 2022

The massive demand for global transformations describes the necessity of high-speed communication in the twenty-first century. Almost every facet of online networks is changing, including international relations, politics, trade, and security. However, cyber security has become a major issue all around the world. Bangladesh has recently taken the required steps to address the problem as swiftly as feasible. In order to prevent and combat cyber threats, the government of Bangladesh plans to establish a specialized computer incident response team (CIRT) for banks and financial institutions, which will serve as the national response team responsible for receiving, reviewing, and responding to computer security incidents and activities in Bangladesh. Implementing strong and multilayer authentication to better management of the data, as well as discovering and mapping out security issues, some major initiatives are required to implement cyber security. Engineers should obtain hands-on training in decoding corrupted data files during any cyber-attack in order to recover data from any lost data. In this review, cyber security challenges in smart cities and smart governance have been examined, with an emphasis on e-commerce, machine learning, industry automation, IoT, and other security elements. The main cyber security concerns are discussed in order to better comprehend almost every necessity of long-term cyber security situations. Moreover, smart industry control and its security infrastructure, problems for implementation in Bangladesh and recent security issues have been highlighted.
Physicochemical Characteristics Study of Oil Extracted from Almond Seed
Authors: AO Akinola , TF Adeyinka
Published: July 2022

The physicochemical properties of the extracted oil from almond seed were investigated. Physical properties such as cloud point, pour point, fire point, smoke point, specific gravity, refractive index, and viscosity; and the chemical properties such as acid value, free fatty acid, saponification value, iodine value, ester value, and peroxide value were investigated for both raw almond oil and transesterified almond oil. The various properties were investigated using ASTM standard methods and calculations. Results obtained for physical properties: cloud point, pour point, fire point, smoke point, specific gravity, refractive index, and kinematic viscosity were 〖-3〗^o C, 〖-9〗^o C, 〖220〗^o C, 〖130〗^o C, 0.928, 1.462, 21.84 〖mm〗^2/sec respectively for the transesterified almond oil. Result obtained for the chemical properties of the transesterified almond oil: acid value, free fatty acid, saponification value, iodine value 〖mgI〗_2/g, and ester value, values were determined to be: 2.05, 1.03, 79.71, 34.33, and 77.66. It was concluded that transesterified Almond oil have a great potential for use as fuel alternative and substitute for internal combustion engine with its high purity, low corrosion ability and ease of ignition.
Information Technology in Disaster Management
Authors: Singh Er. Manoj Kumar
Published: July 2022

In the present era of technology it has been simpler to deal with the disaster both natural and man made. Disaster Management activities rely upon substantial volumes of precise, applicable, on-time geo information that different organization systematically make and maintain. Information Technology is changing each part of human life. Disaster management desires forceful enhancements in its sources to decrease injury and save the lifetime of individuals. The advanced methods of information technology such as web, remote sensing, satellite communication, GIS, etc. can facilitate in coming up with and implementation of disaster management. Web provides a useful platform for disaster mitigation communications. On GIS is basic as effective preparedness, communication and training tool for disaster management on the other hand Remote Sensing as a tool can very effectively contribute towards identification of hazards areas. Communication satellite have become vital for providing emergency communication and timely help into natural disaster monitoring and mitigation mechanisms is critical for hazards reduction. There should be more emphasis on development of new technologies in disaster mitigation. The disaster preparedness and awareness is the only effective method of mitigating the impact of future disaster. In this paper an attempt has been made to highlight the role of information technology in management of natural disaster in Nepal.
Signet-Ring Cell Cholangiocarcinoma: A Case Report
Authors: MOUFID Houda EL , BAROUDI Saad AL , MOHAMMADI Mohammed , SEDDIK Hassan
Published: July 2022

Signet-ring cell carcinomas are malignant tumors that may affect the stomach and the colon, but extrahepatic bile duct localization is rare. Here we present a case (a 56-year-old Moroccan woman), without either pancreato-biliary mal-junction or liver disease. The patient had obstructive jaundice. Morphological studies by MRI and ERCP revealed a bile duct tumor obstructing the common bile duct and invading gallbladder and hepatic hilum. Pathological examination revealed a carcinoma containing signet-ring cells. The evolution was characterized by rapid disease progression; the patient died in about five months. The case of our patient is among the rare cases described in the mainly Asian literature, and the first case reported in North Africa.
A Promising Response of Pembrolizumab in Metastatic Lung Cancer
Authors: Malik Dr. Abdul , Malik Dr. Abdul , Tamilselvan Dr. T. , Sailakshmi S.
Published: July 2022

Lung cancer is the most commonly diagnosed cancer in both men and women and has the highest incidence and mortality rate among all cancers in the world. In recent years immunotherapy has become a game-changer in the treatment of cancer. Here, we present a patient with metastatic Non-Small Cell right lung carcinoma who was treated with pembrolizumab and achieved a very good response. This case highlights the efficacy of neoadjuvant pembrolizumab on metastatic lung carcinoma which provides a clinically meaningful therapeutic option for the future.
Factors Associated with COVID 19 Vaccine Hesitancy among Residents of a Semi-Urban Setting in Bayelsa State, Nigeria
Authors: Edafe Emmanuel Auchi , Okoro Tamaraemumoemi Emmanuella
Published: July 2022

Although COVID-19 vaccines are now widely available in Bayelsa State, adequate immunization of the population is hampered by vaccine hesitancy. This study aimed to identify factors associated with COVID-19 vaccine hesitancy. One thousand and a hundred (1,100) adults aged ≥ 18 years were selected from 300 randomly selected households in two semi-urban communities in Bayelsa State and were interviewed in this descriptive cross-sectional survey. Willingness to receive COVID- 19 vaccines and the associated factors were assessed using an interviewer-administered structured questionnaire. A slim majority of the 1,100 participants were women (51.1%) and single (72.6%). About half of the participants were university undergraduates (52.2%). Awareness of COVID-19 among the participants was 67.1%, and less than a third of respondents were unwilling to take the COVID-19 testing. However, the unwillingness to accept the COVID-19 vaccine was high in the population (45.5%). On bivariate analysis, willingness to take the COVID-19 vaccine was associated with having ever heard of the vaccine (p<.001), willingness to take COVID-19 testing (p<.001), and educational qualification (p<.001). On regression analysis, only willingness to take testing (p=0.000, CI=0.267, 0.446) and prior vaccine awareness (p= 0.049, CI = 0.592, 0.446) independently related to a willingness to take the vaccine. Common reasons for unwillingness to take COVID-19 vaccines included possible side effects, safety, and efficacy concerns. The willingness to receive the COVID-19 vaccine in this mostly educated and youthful populace was relatively poor. Public health education concerning the safety and efficacy of the vaccine should be intensified to improve the community’s willingness.