bluuebunny/crossref_metadata_2025 huggingface dataset:
Spatial-Temporal Convolutional Transformer Network for Multivariate Time Series Forecasting
Authors: Huang Lei , Mao Feng , Zhang Kai , Li Zhiheng
Published: January 2022

Multivariate time series forecasting has long been a research hotspot because of its wide range of application scenarios. However, the dynamics and multiple patterns of spatiotemporal dependencies make this problem challenging. Most existing methods suffer from two major shortcomings: (1) They ignore the local context semantics when modeling temporal dependencies. (2) They lack the ability to capture the spatial dependencies of multiple patterns. To tackle such issues, we propose a novel Transformer-based model for multivariate time series forecasting, called the spatial–temporal convolutional Transformer network (STCTN). STCTN mainly consists of two novel attention mechanisms to respectively model temporal and spatial dependencies. Local-range convolutional attention mechanism is proposed in STCTN to simultaneously focus on both global and local context temporal dependencies at the sequence level, which addresses the first shortcoming. Group-range convolutional attention mechanism is designed to model multiple spatial dependency patterns at graph level, as well as reduce the computation and memory complexity, which addresses the second shortcoming. Continuous positional encoding is proposed to link the historical observations and predicted future values in positional encoding, which also improves the forecasting performance. Extensive experiments on six real-world datasets show that the proposed STCTN outperforms the start-of-the-art methods and is more robust to nonsmooth time series data.
Greedy Firefly Algorithm for Optimizing Job Scheduling in IoT Grid Computing
Authors: Yousif Adil , Alqhtani Samar M. , Bashir Mohammed Bakri , Ali Awad , Hamza Rafik , Hassan Alzubair , Tawfeeg Tawfeeg Mohmmed
Published: January 2022

The Internet of Things (IoT) is defined as interconnected digital and mechanical devices with intelligent and interactive data transmission features over a defined network. The ability of the IoT to collect, analyze and mine data into information and knowledge motivates the integration of IoT with grid and cloud computing. New job scheduling techniques are crucial for the effective integration and management of IoT with grid computing as they provide optimal computational solutions. The computational grid is a modern technology that enables distributed computing to take advantage of a organization’s resources in order to handle complex computational problems. However, the scheduling process is considered an NP-hard problem due to the heterogeneity of resources and management systems in the IoT grid. This paper proposed a Greedy Firefly Algorithm (GFA) for jobs scheduling in the grid environment. In the proposed greedy firefly algorithm, a greedy method is utilized as a local search mechanism to enhance the rate of convergence and efficiency of schedules produced by the standard firefly algorithm. Several experiments were conducted using the GridSim toolkit to evaluate the proposed greedy firefly algorithm’s performance. The study measured several sizes of real grid computing workload traces, starting with lightweight traces with only 500 jobs, then typical with 3000 to 7000 jobs, and finally heavy load containing 8000 to 10,000 jobs. The experiment results revealed that the greedy firefly algorithm could insignificantly reduce the makespan makespan and execution times of the IoT grid scheduling process as compared to other evaluated scheduling methods. Furthermore, the proposed greedy firefly algorithm converges on large search spacefaster , making it suitable for large-scale IoT grid environments.
Pelican Optimization Algorithm: A Novel Nature-Inspired Algorithm for Engineering Applications
Authors: Trojovský Pavel , Dehghani Mohammad
Published: January 2022

Optimization is an important and fundamental challenge to solve optimization problems in different scientific disciplines. In this paper, a new stochastic nature-inspired optimization algorithm called Pelican Optimization Algorithm (POA) is introduced. The main idea in designing the proposed POA is simulation of the natural behavior of pelicans during hunting. In POA, search agents are pelicans that search for food sources. The mathematical model of the POA is presented for use in solving optimization issues. The performance of POA is evaluated on twenty-three objective functions of different unimodal and multimodal types. The optimization results of unimodal functions show the high exploitation ability of POA to approach the optimal solution while the optimization results of multimodal functions indicate the high ability of POA exploration to find the main optimal area of the search space. Moreover, four engineering design issues are employed for estimating the efficacy of the POA in optimizing real-world applications. The findings of POA are compared with eight well-known metaheuristic algorithms to assess its competence in optimization. The simulation results and their analysis show that POA has a better and more competitive performance via striking a proportional balance between exploration and exploitation compared to eight competitor algorithms in providing optimal solutions for optimization problems.
Data Loss Reconstruction Method for a Bridge Weigh-in-Motion System Using Generative Adversarial Networks
Authors: Zhuang Yizhou , Qin Jiacheng , Chen Bin , Dong Chuanzhi , Xue Chenbo , Easa Said M.
Published: January 2022

In the application of a bridge weigh-in-motion (WIM) system, the collected data may be temporarily or permanently lost due to sensor failure or system transmission failure. The high data loss rate weakens the distribution characteristics of the collected data and the ability of the monitoring system to conduct assessments on bridge condition. A deep learning-based model, or generative adversarial network (GAN), is proposed to reconstruct the missing data in the bridge WIM systems. The proposed GAN in this study can model the collected dataset and predict the missing data. Firstly, the data from stable measurements before the data loss are provided, and then the generator is trained to extract the retained features from the dataset and the data lost in the process are collected by using only the responses of the remaining functional sensors. The discriminator feeds back the recognition results to the generator in order to improve its reconstruction accuracy. In the model training, two loss functions, generation loss and confrontation loss, are used, and the general outline and potential distribution characteristics of the signal are well processed by the model. Finally, by applying the engineering data of the Hangzhou Jiangdong Bridge to the GAN model, this paper verifies the effectiveness of the proposed method. The results show that the final reconstructed dataset is in good agreement with the actual dataset in terms of total vehicle weight and axle weight. Furthermore, the approximate contour and potential distribution characteristics of the original dataset are reproduced. It is suggested that the proposed method can be used in real-life applications. This research can provide a promising method for the data reconstruction of bridge monitoring systems.
Laser Curve Extraction of Wheelset Based on Deep Learning Skeleton Extraction Network
Authors: Luo Shuai , Yang Kai , Yang Lijuan , Wang Yong , Gao Xiaorong , Jiang Tianci , Li Chunjiang
Published: January 2022

In this paper, a new algorithm for extracting the laser fringe center is proposed. Based on a deep learning skeleton extraction network, the laser stripe center can be extracted quickly and accurately. Skeleton extraction is the process of reducing the shape image to its approximate central axis representation while maintaining the image’s topological and geometric shape. Skeleton extraction is an important step in topological and geometric shape analysis. According to the characteristics of the wheelset laser curve dataset, a new skeleton extraction network, a hierarchical skeleton network (LuoNet), is proposed. The proposed architecture has three levels of the encoder–decoder network, and YE Module interconnection is designed between each level of the encoder and decoder network. In the wheelset laser curve dataset, the F1_score can reach 0.714. Compared with the traditional laser curve center extraction algorithm, the proposed LuoNet algorithm has the advantages of short running time, high accuracy, and stable extraction results.
Autonomous Multi-Rotor Aerial Platform for Air Pollution Monitoring
Authors: Cozma Alexandru , Firculescu Adrian-Cosmin , Tudose Dan , Ruse Laura
Published: January 2022

During the last few years, scientists have become increasingly concerned about air quality. Particularly in large cities and industrialised areas, air quality is affected by pollution from natural and anthropogenic sources and this has a significant impact on human health. Continuous monitoring of air quality is an important step in investigating the causes and reducing pollution. In this paper, we propose a new autonomous multi-rotor aerial platform that can be used to perform real-time monitoring of air quality in large cities. The air quality monitoring system is able to cover large areas, with high spatial resolution, even above average buildings, while being relatively low cost. We evaluate the proposed system in several locations throughout a metropolitan city, during different seasons and generate fine-grained heat-maps that display the level of pollution of specific areas based on different altitudes.
An Efficient Frequency Estimator for a Complex Exponential Signal Based on Interpolation of Selectable DTFT Samples
Authors: Wei Miaomiao , Zhang Aihua , Qi Lin , Li Bicao , Sun Jun
Published: January 2022

The frequency estimation of complex exponential carrier signals in noise is a critical problem in signal processing. To solve this problem, a new iterative frequency estimator is presented in this paper. By iteratively computing the interpolation of DTFT samples, the proposed algorithm obtains a fine frequency estimate. In addition, its mean square error (MSE) analysis is presented in this paper. By analyzing influences of the selectable parameters on the estimation accuracy of the model, a method for choosing appropriate parameters is discussed, helping to reduce the estimation error of the proposed estimator. Simulation results show that compared with other algorithms with a comparable estimation accuracy, the proposed iterative estimator can obtain a root mean square error (RMSE) that is closer to Cramér–Rao lower bound (CRLB).
Node Calibration in UWB-Based RTLSs Using Multiple Simultaneous Ranging
Authors: Shah Shashi , Kovavisaruch La-or , Kaemarungsi Kamol , Demeechai Tanee
Published: January 2022

Ultra-wideband (UWB) networks are gaining wide acceptance in short- to medium-range wireless sensing and positioning applications in indoor environments due to their capability of providing high-ranging accuracy. However, the performance is highly related to the accuracy of measured position and antenna delay of anchor nodes, which form a reference positioning system of fixed infrastructure nodes. Usually, the position and antenna delay of the anchor nodes are measured separately as a standard initial procedure. Such separate measurement procedures require relatively more time and manual interventions. This paper presents a system that simultaneously measures the position and antenna delay of the anchor nodes. It provides comprehensive mathematical modeling, design, and implementation of the proposed system. An experimental evaluation in a line-of-sight (LOS) environment shows the effectiveness of the anchor nodes, whose position and antenna delay values are measured by the proposed system, in localizing a mobile node.
Discrete Bidirectional Associative Memory Neural Networks of the Cohen–Grossberg Type for Engineering Design Symmetry Related Problems: Practical Stability of Sets Analysis
Authors: Stamov Trayan
Published: January 2022

In recent years, artificial intelligence techniques have become fundamental parts of various engineering research activities and practical realizations. The advantages of the neural networks, as one of the main artificial intelligence methods, make them very appropriate for different engineering design problems. However, the qualitative properties of the neural networks’ states are extremely important for their design and practical performance. In addition, the variety of neural network models requires the formulation of appropriate qualitative criteria. This paper studies a class of discrete Bidirectional Associative Memory (BAM) neural networks of the Cohen–Grossberg type that can be applied in engineering design. Due to the nature of the proposed models, they are very suitable for symmetry-related problems. The notion of the practical stability of the states with respect to sets is introduced. The practical stability analysis is conducted by the method of the Lyapunov functions. Examples are presented to verify the proposed criteria and demonstrate the efficiency of the results. Since engineering design is a constrained processes, the obtained stability of the sets’ results can be applied to numerous engineering design tasks of diverse interest.
Herzog Vindicated: Integrative Taxonomy Reveals That Trichostomum brachydontium (Pottiaceae, Bryophyta) Comprises Several Species
Authors: Ros Rosa M. , Werner Olaf , Porley Ron D.
Published: January 2022

The morphologically variable moss Trichostomum brachydontium is very common in south and west Europe, particularly under Mediterranean and Atlantic climates. A morphological study was conducted alongside a molecular phylogenetic study based on nr ITS and cp-rbcL regions in order to assess if T. brachydontium is an exceptionally polymorphic species as evidenced by the number of described infraspecific taxa in the last century or, alternatively, if it includes more than one species, and if so, to find the valid name for them. Phylogenetic analyses of both nuclear and chloroplast datasets show that there are four well-supported clades. While the ITS-based tree is in good agreement with the morphological data, there are a few inconsistencies with reference to the rbcL tree; this may be explained by incomplete lineage sorting by hybridization or by the persistence of isolated ancestral molecular races. The morphological survey revealed well-defined discriminate differences between the four phylogenetic lineages. The taxonomic conclusions include the recognition of four species: T. brachydontium s.s., T. herzogii (a new name proposed for var. cuspidatum), T. littorale, and T. meridionale (a new name proposed for var. densum). Lectotypes are designated for T. brachydontium and T. littorale. Our results underline the ongoing need of integrative studies to examine further the underestimated diversity of the T. brachydontium complex in other regions.
Synthesis of Rice Husk-Based MCM-41 for Removal of Aflatoxin B1 from Peanut Oil
Authors: Li Ya’nan , Wang Ren , Luo Xiaohu , Chen Zhengxing , Wang Li , Zhou Yunyu , Liu Weizhi , Cheng Miaomiao , Zhang Chen
Published: January 2022

Edible oils, especially peanut oil, usually contain aflatoxin B1 (AFB1) at extremely high concentrations. This study focused on the synthesis of rice husk-based mesoporous silica (MCM-41) for the removal of AFB1 from peanut oil. MCM-41 was characterized by X-ray diffraction, N2 physisorption, and transmission electron microscope. MCM-41 was shown to have ordered channels with high specific surface area (1246 m2/g), pore volume (1.75 cm3/g), and pore diameter (3.11 nm). Under the optimal concentration of 1.0 mg/mL of the adsorbent dose, the adsorption behavior of MCM-41, natural montmorillonite (MONT), and commercial activated carbon (CA) for AFB1 were compared. The adsorption of AFB1 in peanut oil onto the three adsorbents was slower compared to that of AFB1 in an aqueous solution. In addition, the pseudo-second-order kinetic model better fit the adsorption kinetics of AFB1, while the adsorption mechanism followed the Langmuir adsorption isotherm on the three adsorbents. The calculated maximum adsorbed amounts of AFB1 on MONT, MCM-41, and CA were 199.41, 215.93, and 248.93 ng/mg, respectively. These results suggested that MCM-41 without modification could meet market demand and could be considered a good candidate for the removal of AFB1 from peanut oil. This study provides insights that could prove to be of economic and practical value.
Cultivation of Helix pomatia grape snail in integration with pond fisheries
Authors:   All-Russian research Institute of integrated fish farming, a branch of the Federal state budgetary scientific institution “Federal research center for animal husbandry – VIZ named after academician L. K. Ernst”, Rozumnaya Lyubov Anatolyevna , \ Petrushin Alexander Borisovich ,   All-Russian research Institute of integrated fish farming, a branch of the Federal state budgetary scientific institution “Federal research center for animal husbandry – VIZ named after academician L. K. Ernst”, Servetnik Grigory Emelyanovich ,   All-Russian research Institute of integrated fish farming, a branch of the Federal state budgetary scientific institution “Federal research center for animal husbandry – VIZ named after academician L. K. Ernst, Zhelankin Roman Viktorovich ,   All-Russian research Institute of integrated fish farming, a branch of the Federal state budgetary scientific institution “Federal research center for animal husbandry – VIZ named after academician L. K. Ernst
Published: January 2022

The article considers the possibility of integrating pond fish farming with the cultivation of grape snail - a new promising direction of agricultural production in Russia. The biological features of H. pomatia allow it to be grown on dams of ponds and make it a promising object of integration into pond fish farms. At the first stages of the integration of the grape snail, a herd of 300 individuals was created at the experimental base of the Research Institute of Integrated Fish Farming, individuals from the local population were selected quite large (average weight 25.6 g), outwardly healthy with an intact shell. Snail feeding was carried out in an open fenced area of 16 m². The peculiarities of the nutrition of the grape snail were studied in laboratory and field conditions. It was found that the snail willingly eats dandelion, burdock, nettle, etc. growing on the dams of ponds. Promising objects for landing on dams and additional nutrition of the snail are-lettuce, zucchini, parsley. Along with the selection of the diet, the search for optimal parameters of illumination and humidity for an experienced herd of snails was carried out. When the temperature rises above the optimum and there is no precipitation, the humidity of the air and soil in the feeding area was maintained by regular sprinkling with water from the pond. The illumination was regulated by a system of canopies and shelters in the form of wooden shields. The soils of the dam are peat, so additional liming is required, and bone flour, crushed eggshells can be used as a source of calcium for the formation of the shell. Grape snails are hermaphrodites, but during mating there is an exchange of sexual products, so the total number of producers required for obtaining offspring is 2 times less than when breeding different-sex individuals. The snail spawning took place in the feeding area, the caviar is large with a mass of 0.15 g and a diameter of 6.14 mm. Wintering is also possible at the feeding site during preliminary preparatory measures.
Economic essence, classification and methodological aspects of disclosure of information on state aid in accounting
Authors:   Accounting Department, Kaluga branch of the RGAU — Moscow Agricultural Academy named after K.A. Timiryazev, Kokorev N. A. , Khoruzhy L. I. ,   RGAU-MSHA named after Timiryazeva, Turchayeva I. N. ,   Accounting Department Kaluga branch of the RGAU — Moscow Agricultural Academy named after K.A. Timiryazev, Matchinov V. A. ,   Kaluga Branch of the Financial University under the Government of the Russian Federation, Negoda V. A. ,   Accounting Department, Kaluga branch of the RGAU — Moscow Agricultural Academy named after K.A. Timiryazev, Mishin P. N. ,   Kaluga branch of the RGAU — Moscow Agricultural Academy named after K.A. Timiryazev
Published: January 2022

The focus is on updating the methodological aspects of the organization of accounting and disclosure in the accounting statements of the allocated funds of state support to agricultural producers. The approaches to the formation of methodological foundations, both accounting and disclosure of information on the directions, structure of state support in accounting financial and accounting specialized reporting from the perspective of potential capitalization of agricultural producers are disclosed. The problematic issues of terminology, classification, identification of state aid are analyzed in the light of the rational organization of accounting and improving the quality, objectivity of reporting. Approaches to structuring information on state support in agriculture, including the use of off-balance sheet accounting, are described.
Organizational and methodological support for accounting for the production of sheep products
Authors:   Stavropol State Agrarian University, Feskova M. V. , Tatarinova M. N. ,   Stavropol State Agrarian University, Telegina Zh. A. ,   Department of Production organization of the RGAU-MSHA named after Timiryazev, Skachkova S. A. ,   Department of Economics of the RGAU-MSHA named after Timiryazev
Published: January 2022

The article discusses the formation of a system of accounting and analytical support of the production process of sheep-breeding organizations. Economic efficiency in the management of organizations in the sheep breeding industry largely depends on the use of a modern methodological framework, part of which is the accounting and analytical support of the production process. The technological features of the production process should be expressed through a scientifically grounded classification of costs, which will show the objective cost of various types of sheep breeding products and, as a consequence, the direction of its optimization. English version of the article is available at URL: https://panor.ru/articles/organizational-and-methodological-support-for-the-sheep-breeding-products-accounting/77284.html
Accounting of VAT calculations when receiving subsidies
Authors:   Institute of Economics and Management of AIC, Russian Timiryazev State Agrarian University, Khoruzhy L. I. , Postnikova L. V. ,   Department of Accounting and taxation Russian Timiryazev State Agrarian University, Shadrina M. A. ,   Department of Accounting and taxation Russian Timiryazev State Agrarian University, Khoruzhy V. I. ,   Department of Tax Administration, Financial University under the Government of the Russian Federation, Dzhikiya K. A. ,   epartment of Organization and Entrepreneurship of the Federal State Budgetary Educational Institution of Higher Education “RGAU — MSHA named after K.A. Timiryazev
Published: January 2022

The article is devoted to the study of the influence of subsidies in agriculture on the financial result and the cost of production, including through VAT. The important task of accounting for VAT has been solved. Standard approaches were developed to reflecting VAT when receiving subsidies, depending on the purpose and organization of financing. The article discusses the system of correspondences on the accounting of value added tax when receiving a subsidy, depending on the purpose and timing of receipt of budget funds.
Stres Pada Ibu Bekerja
Authors: Sitorus Friyanka H.D.
Published: January 2022

Keputusan untuk menjadi ibu rumah tangga atau ibu bekerja, menjadi hal penting bagi banyak wanita. Pada zaman modern ini, wanita yang telah menikah dan berkeluarga umumnya mengkombinasikan tugasnya sebagai ibu dengan kegiatan bekerja karena bekerja telah menjadi bagian dari kehidupan wanita. Berbeda dengan pandangan tradisional dimana wanita hanya memiliki peran untuk melahirkan anak (reproduksi) dan mengurus rumah tangga, seolah dibatasi dan ditempatkan dalam posisi pasif dimana wanita hanyalah pendukung karir suami. Penelitian ini bertujuan untuk melihat gambaran stress pada ibu bekerja secara komprehensif. Penelitian ini menggunakan pendekatan kualitatif yang melibatkan 6 orang ibu pekerja pada rentang usia 20-40 tahun yang memiliki anak dibawah 13 tahun. Hasil penelitian ini menunjukkan bahwa stres pada ibu bekerja umumnya disebabkan oleh faktor eksternal yaitu pekerjaan kemudian disusul dengan kondisi keluarga dan faktor eksternal lainnya. Faktor penahan stres seperti kesehatan dan energi yang tinggi menjadi sumber internal yang meminimalisir dampak dari stres. Sementara self esteem dan interpersonal trust yang tinggi serta komitmen pada keluarga merupakan faktor penahan stres bersumber internal. Implikasi dari penelitian ialah sebagai  bentuk pertimbangan dan antisipasi terhadap dampak dari keputusan ibu untuk bekerja mempertimbangkan jumlah ibu bekerja di Indonesia, khususnya Medan, yang semakin meningkat.
KEJADIAN PREMENSTRUAL SYNDROME (PMS) BERDASARKAN KARAKTERISTIK SISWI KELAS XII DI PONDOK PESANTREN SUKOHARJO
Authors: Wijayanti W , Sunarsih Tri , Kartini Farida , Rohmatika Dheny
Published: January 2022

Premenstrual Syndrome (PMS) adalah gejala fisik, psikologis dan emosi yang terjadi sebelum menstruasi. Dampak yang timbul adalah dapat menganggu aktivitas seorang wanita. Penelitian ini bertujuan untuk mengetahui kejadian premenstrual syndrome (PMS) berdasarkan karakteristik siswi kelas XII di Pondok Pesantren Sukoharjo. Metode penelitian diskriptif dengan analisa kuantitatif, rancangan cross sectional. Subyek penelitian adalah siswi kelas XII dengan PMS di Pondok Pesantren Sukoharjo yang diambil secara total sampling. Hasil dari penelitian yang telah dilakukan adalah bahwa di Pondok Pesantren Sukoharjo dengan responden sebanyak 34 siswi kelas XII dengan PMS, didapatkan hasil yaitu mayoritas umur responden yaitu 17 tahun (70,6%), usia menarche 13-15 tahun (52,9%), lama menstruasi ≥ 7 hari (76,5%), siklus menstruasi 28 hari (76,5%), ganti pembalut ≥ 3 kali perhari (85,3%) dan IMT dengan berat badan ideal (82,4%).

Premenstrual Syndrome (PMS) is a physical, psychological and emotional symptom that occurs before menstruation. The impact that arises is that it can disrupt a woman's activities. This study aims to determine the incidence of premenstrual syndrome (PMS) based on the characteristics of class XII students at the Boarding School Sukoharjo. Descriptive research method with quantitative analysis, cross sectional design. The subjects of the study were students of class XII with PMS at Boarding School Sukoharjo taken in total sampling. The results of the research that has been done is that at the Boarding School Sukoharjo with 34 respondents in class XII with PMS, the results obtained are the majority of respondents' age is 17 years (70.6%), menarche age 13-15 years (52, 9%), menstruation duration ≥ 7 days (76.5%), menstrual cycle 28 days (76.5%), dressing pads ≥ 3 times per day (85.3%) and BMI with ideal body weight (82.4% ).
PENGARUH KEPEMIMPINAN TRANSFORMASIONAL DAN SISTEM REMUNERASI TERHADAP MOTIVASI KERJA YANG BERDAMPAK PADA PRESTASI KERJA PEGAWAI POLITEKNIK LP3I JAKARTA
Authors: Hapsah Enok
Published: January 2022

The aim of this research is to analyze the influence of transformational leadership and remuneration system on employees performance with work motivation as an intervening variable (research was done at Polytechnic LP3I Jakarta). The amounts of these respondents are 103 employees of Polytechnic LP3I Jakarta. Sampling technique uses Accidental Sampling, and analysis technique uses path analysis, The result of the research shows that transformational leadership has a significant effect on work motivation, remuneration system has a significant effect on work motivation, transformational leadership has significant effect on employees performance, remuneration system has no significant effect on employees performance, work motivation has significant effect on the job performance, transformational leadership and remuneration system has a significant effect on employees work motivation, transformation leadership and remuneration system has a significant effect on employees performance.

Keywords :  Transformational leadership, remuneration system, employees performance and work motivation.
KINERJA RESEPSIONIS DALAM MEMBERIKAN PELAYANAN PRIMA PADA PT JIAEC DEPOK
Authors: Yoeliastuti Yoeliastuti , Cahyani Mirayana Trie
Published: January 2022

This study aims to determine the performance of the receptionist in providing excellent service at PT JIAEC Depok, as well as to find out the obstacles faced and the solutions made in overcoming the obstacles faced. The receptionist's performance in providing excellent service includes receiving guests, handling incoming and outgoing calls, receiving and inputting goods or documents, delivering announcements and filing airwaybill documents to Japan. The obstacles faced in receiving guests are the inability of the receptionist to speak Japanese, poor signal when receiving incoming calls, no confirmation when receiving documents. The solutions to the existing obstacles are; looking for help from employees who can speak Japanese, telling the caller to look for a place with good signal, the receptionist routinely checks in the virtual office for documents that have not been confirmed. This research is a qualitative descriptive research conducted by searching for literature and references through literature study, observation and interviews.

Keywords: Performance, Receptionist, Excellent Service
PROBLEM BASED LEARNING BERPIKIR KRITIS MAHASISWA VOKASI DALAM PEMBELAJARAN DARING
Authors: Astuti Enny Diah , Sintesa Nika
Published: January 2022

 “Problem Based Learning Berpikir Kritis Mahasiswa Vokasi Dalam Pembelajaran Daring” bertujuan untuk mengetahui   dan   menganalisis  problem based learning dalam meningkatkan kemampuan berpikir kritis dan mengembangkan keterampilan mahasiswa vokasi dalam pembelajaran daring. Metode yang dilakukan yaitu metode penelitian deskriptif kualitatif. Peneliti melakukan observasi dan pengumpulan data dalam tiga tahap yang diambil dari 70 mahasiswa vokasi, dalam setiap tahapan dilakukan dalam 2 sesi pertemuan pembelajaran. Analisa data yang dilakukan oleh peneliti adalah dengan menganalisis, menggambarkan, mendeskripsikan berbagai kondisi dan situasi dari data yang dikumpulkan sebagai hasil observasi, wawancara, dan pemetaan kelompok dalam pembelajaran daring. Hasil evaluasi dalam review pembelajaran diperoleh hasil perubahan yang sangat baik. Peningkatan nilai yang diperoleh pada setiap tahap di setiap sesi pembelajaran terlihat bahwa yang pada awalnya mahasiswa belum memahami materi sebanyak 40% berhasil menurun hingga 3%. Pada tahap akhir mahasiswa mulai memahami terhadap materi yang disampaikan oleh dosen yang terlihat peningkatan angka dari semula 60% hingga tercapai 97% Hasil penelitian ini menunjukkan bahwa penerapan problem based learning sangat membantu untuk meningkatkan keterampilan berpikir kritis mahasiswa vokasi selama pembelajaran daring. Kemampuan berpikir kritis sebagai bekal mahasiswa untuk menghadapi perkembangan  ilmu pengetahuan dan kemajuan teknologi di masa depan dan sebagai persiapan mahasiswa vokasi untuk terjun ke dalam dunia industri.

Kata kunci:  Problem Based Learning, Pembelajaran, Berpikir Kritis
MENGANALISIS VARIAN PRODUK, PROMOSI, HARGA, BRAND IMAGE TERHADAP LOYALITAS PELANGGAN APOTEK RIZAL BEKASI DI ERA PANDEMI COVID-19
Authors: Rosita Rahmi , Budiasningrum Retno Setya , Karomah Nurul Giswi , Estiana Ria
Published: January 2022

The Covid-19 pandemic that has hit Indoensia for almost two years has caused changes in various aspects of life, especially having a significant impact on the public health aspect, thus demanding that people improve their health to be resilient to the threat of disease. This study aims to analyze the influence of product variants, promotions, prices,brand image on customer loyalty at the Rizal Bekasi Drug Store during the covid19 pandemic era. The research method used is descriptive qualitative method, with primary and secondary data sources from research results. The questionnaires were distributed using purposive sampling technique (samplingwith certain considerations), as many as 100 respondents. The instrument test was carried out with a Likert scale of 1 to 5 points using SPSS version 20. The results showed that 1. Product variants had a positive and significant effect on customer loyalty, 2. Promotion had a positive and significant effect on customer loyalty, 3. Price had a positive and significant effect on customer loyalty, 4. Brand image has a positive effect on customer loyalty.

Keywords: Product Variants, Promotion, Price, Barnd Image, Customer Loyalty
FAKTOR-FAKTOR YANG MEMPENGARUHI KEPUTUSAN PEMBELIAN PADA APLIKASI PESAN ANTAR MAKANAN DI JAKARTA
Authors: Hanarti Inna , Rahmadhani May Vitha , Wibowo Edi Wahyu , Minggu Minggu
Published: January 2022

Digital businesses are starting to grow, including the food ordering business where we can order food using applications available on smartphones. Ordering food can be done from anywhere and anytime, without having to come to the store or to the mall directly. This research is quantitative with 144 respondents. The results of this study state that the variable of consumer attitudes partially has a positive effect on purchasing decisions. Even though the results of this study are good, it is better for the delivery service application providers to provide member loyalty programs, so that consumers will continue to use this application. For consumer motivation variable partially positive influence on purchasing decisions. Even though the results of this study are good, it is better for the delivery service application providers to provide a discount program so that consumers are motivated to always use this delivery application. For the consumer perception variable, it partially has a positive effect on purchasing decisions, although the results of this study are good, it is better for the delivery service application providers to provide CSR or Corporate Social Responsibility programs so that this delivery application has a good perception in the hearts of consumers. For Attitude, Motivation Variables and Consumer Perceptions have a simultaneous effect on purchasing decisions. Even though the results of this study are good, it is better for the delivery service application providers to provide relationship marketing programs, especially after-sales services, so that consumers are very happy to use this delivery application.

Keywords: Delivery Application, Purchase Decision, Consumer Attitude, Purchase Motivation
Langkah Mudah Pembuatan Sistem Informasi Berbasis Android Bagi Pemula
Authors: Yohanis Solle Jems , Uminingsih Uminingsih
Published: January 2022

The need to get information in any form becomes important. Along with that, people who want to provide information are increasing day by day, both specific information (accessed for certain circles only) or general information systems (all people can access it). The problem is how to make an information system that can be accessed by android mobile phones faster and easier by beginners. An information system that can be accessed via Android phones is very practical and profitable because it can be accessed anywhere and anytime as long as you get an internet signal at that time. The difficulty in making an information system model like this is because many elements must be done, such as: installing some software, which takes time to learn from each of the built-in tools, providing a database, creating interfaces, and connecting the system to the cellphone. This study presents the result how to create an Android-based information system that is systematic and easy for beginners in the form of instructions for the steps of making a system which is equipped with a display capture of the installation activity results from several supporting software and is equipped with examples of the results of information system designs that have been successfully created. It is hoped that the results of this research can help make it easier to design an Android-based Information system application for beginners.
Assessment of Post-Radiation Time Effect on Gene Expression Profiles of Saccharomyces cerevisiae Samples After Appling a UV Laser
Authors: Arjmand Babak , Safari-Alighiarloo Nahid , Razzaghi Mohhamadreza , Rezaei Tavirani Mostafa , Rostami Nejad Mohammad , Rezaei Tavirani Majid
Published: January 2022

Introduction: Widespread application of lasers in different fields of medicine implies more investigations into the molecular mechanism of laser effects on the human body. Network analysis of the dysregulated genes of Saccharomyces cerevisiae samples are irradiated by a UV laser and harvested 30 minutes after radiation compared with a 15-minute group is the aim of this research. Methods: The significant dysregulated genes interacted via the STRING database, and the central nodes were determined by "Networkanalyzer" application of Cytoscape software. The critical genes and the related biological terms were identified via action map analysis and gene ontology assessment. Results: The gene expression profiles of the samples with 30-minute post-radiation time were different from the samples with 15 minutes of post-radiation time. 9 potent central genes, 50% of which were similar to the nodes of the 15-minute group, were identified. The terms "positive regulation of telomere maintenance" were targeted in the two sample groups. Conclusion: In spite of large alteration in the gene expression profiles of the samples, the results indicated that the main affected biological term for the 15-minute and 30-minute groups was similar.
In-silico comparison of post-translational modifications of SARS-CoV and SARS-CoV-2 structural proteins
Authors: Soltani Naghmeh , Pakniya Fatemeh , Parchami Niloofar , Behbahani Mandana , Mohabatkar Hassan
Published: January 2022

Background and aims: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a newly discovered coronavirus which causes an infectious disease. The severe acute respiratory syndrome (SARS-CoV) and the Middle East respiratory syndrome (MERS) broke out in 2003 and 2012, respectively. These viruses have some structural proteins, including spike (S), membrane (M), envelope (E), and nucleocapsid (N) proteins. These proteins assist the virus in infecting cells through interaction with cell receptors, penetration into the cell, and proliferation. These coronavirus proteins are modified by post-translational modifications (PTMs) which activate various functional and interactional activities of proteins. This study aimed to investigate the PTMs in SARS-CoV/CoV-2, as well as to examine the effect of these PTMs on the pathogenicity of these two viruses. Methods: In this study, PTMs sites were detected by different bioinformatics tools. Evaluation and comparison of PTMs were performed and their roles in structural proteins activities of SARS-CoV/CoV-2 coronaviruses were examined in order to gain a richer understanding of these modifications’ relationships with the protein activities. Results: The PTMs sum and percentages of four structural proteins of SARS-CoV/CoV-2 were evaluated, with a focus on their effects on viral replication and pathogenesis in order to develop a method for treating these diseases. According to our study results, some of the PTMs in SARS-CoV/CoV-2 were different from each other. Conclusion: It was concluded that SARS-CoV-2 had more pathogenicity than SARS-CoV.
The effect of moderate-intensity aerobic training on serum levels of TNF-α and IL-6 in rats undergoing radiotherapy
Authors: Khaleghi Mina , Mohamadzadeh Salamat Khalid , Parastesh Mohammad , Azizbeigi Kamal , Bayatiani Mohammad Reza
Published: January 2022

Background and aims: One of the main potential problems of radiotherapy (RT) in breast cancer is the increase in treatment-related inflammation. This study aimed to investigate the effect of eight weeks of moderate-intensity aerobic training (AT) on serum levels of tumor necrosis factor α (TNF-α) and interleukin-6 (IL-6) in rats undergoing RT. Materials and Methods: In this experimental study, 32 male rats were randomly divided into four groups of eight members including (1) healthy control (C), (2) AT, (3) RT, and (4) AT + RT groups. Rats were first anesthetized with ketamine-xylazine solution (K, 60-90 kg/mg; Z, 6-10 kg/mg) and then located on a Plexiglas plate with a thickness of 1 cm. Photon beam RT was performed using X-rays with a dose of 11 Gy from an Elekta compact linear accelerator (Elekta Compact 6-MV China). AT program was performed for eight weeks, five days a week, and one session a day for 60 minutes (70-75% of VO2max). Afterwards, one-way ANOVA was run to examine the research variables. Results: According to the results, TNF-α was significantly higher in the RT group compared to the C group (P=0.003), whereas IL-6 levels were significantly lower in the AT + RT group compared to the RT group (P=0.001) and the C group (P=0.027). Further, the levels of this cytokine were significantly lower in the AT group compared to the RT group (P=0.006) and similarly in the RT group compared to the C group (P=0.03). Conclusion: RT led to an increase in pro-inflammatory cytokines; however, performing AT could only significantly reduce the IL-6 levels.
Decent Love and Intuition Scenes of Kambaramayanam
Authors: P Kavitha , S Senthilkumar
Published: January 2022

Valmiki's epic has a special pride in the unparalleled epics that have ever appeared in the world. It is perfectly appropriate to say that Kambar gave life to all the characters created by Valmiki. Kambar has made the characters go for a walk in the atmosphere without lowering them with his own individuality and changing their character.The real meaning of the epic is "the sin of morality and defeat". It is very special that Kambar did not just emphasize that point in the epic, but also handled the news. When Rama and Sita devi see each other in the mithila scene in Kambaramayana, kambar's poetic beauty is able to understand the joy and suffering that occurred by the mind. When Raman sees Sita, he faints and all that he sees appears to be the form he has seen, and the sight of mayangal, monday and kaman being blamed, and wailing in his eyes, is seen in front of his mind. This article explains such events.
Kurunthokail Agamander Uravunilai
Authors: M Kavitha , D Maria Merlin Kavitha
Published: January 2022

Pattum Thogaiyum are given as Sangam literature. Kuṟunthokai is a classical Tamil poetic work and traditionally the second of the Eight Anthologies (Ettuthokai) in the Sangam literature.  The richness of the language and the ability to explain the biology in harmony with the nature of the Sangath Tamil people are great in this Kuruntokai. Love, the most subtle feeling of the human mind, is beautifully and deeply situated in the shorthand. This article summarizes the love relationships that are embedded in the Kuṟuntokai. Although the love of the Hero, the Heroine, the friend, Paangan, the nurse and the narrator is seen in the Kuṟuntokai, more importance is given to the love of the Hero-Heroine. Not only these but also the nature of the prostitutes who are negative members has been studied.
Personality Thoughts in Alvars Poems
Authors: N.S.K Sangeethratha
Published: January 2022

Today Personality Development is Vibrant topic amongst in Intellectuals worldwide. The basic ideas of Personality Development are quoted in the famous UlagaPothumarai ‘Thirukural’. An individuals Thoughts, Mode of contact, Behaviour, Attitude to interact with others, basic principles, Intellectual. From the above components a person express his Uniqueness is called Personality. The main motto of this article to explore the Personality Development in ‘Alwar Paasurangal’.
Registration of fingerprints with TrasoScan System
Authors:   Centralne Laboratorium Kryminalistyczne Policji, Drzewiecka Katarzyna , Rogoża Ewa ,   Centralne Laboratorium Kryminalistyczne Policji
Published: January 2022

The continuous development of methods of trace visualization entailed the development of new, specialized trace registration devices. In recent years, the TrasoScan System for registration and processing of forensic traces: traseological traces, fingerprints or documents has appeared on the forensic market. Currently, this device is most often applied to traseological examinations. Notwithstanding the above, it can be successfully used to register fingerprints on dactyloscopic films, silicone casts, those secured together with a surface, or traces revealed by chemical methods. This article presents the broad spectrum of TrasoScan’s capabilities for registering fingerprints of various types
Characteristic changes the bending moments in shell of soil-steel structures
Authors: Machelski Czesław
Published: January 2022

Abstract: There are two structural subsystems in the soil-steel structure model: a flexible corrugated steel shell and a soil backfill. A characteristic feature of the analyzed structures, in contrast to classic bridges, e.g. brick ones, is a very large influence of the soil backfill on in- ternal forces and deformation of the steel shell. Usually, during construction, the stresses in the shell are many times greater than those arising from the operational loads. In the paper analyzes changes bending moments in the steel shell during the operation of the object as a result of deformation occurring during the construction phase. The test results indicate that the bending moments of the steel structure depends on the geometry of the bridge but with a large influence of the technology of the backfill process. The paper presents an algorithm for esti- mating shell shape changes based on displacements occurring in the construction phase. The examples show a favorable reduction of bending moments in shells with a regular arc. An unfavorable geometry for box-shaped shells has been demonstrated. The results of the analy- sis presented in the paper may be the basis for the measurement methodology in the monitor- ing of soil-steel structure bridges, both during construction and in the operational phase. Keywords: Soil-steel structures; Corrugated sheets; Bending moments; forecast
The analysis of safety and traffic conditions on Orląt Lwowskich Square in Wrocław
Authors: Szczepanek Wojciech
Published: January 2022

Abstract: For some years road infrastructure has been beeing rebuilt and expanded in Wrocław. There are a lot of enterprises connected with it which aim is to encourage citizens to use public transport and also improve traffic conditions in the area of the whole city and adjust it to modern standards. This article refers to the analysis of the influence of the newly built. "TAT" rout level 1 in Wrocław on conditions in The Orląt Lwowskich square area. All elements which were rebuit, not only because of the new tramway but also because of regarded changes due to safety and increasing of road capacity, were taken under considaration. The condition before rebuilding, implemented changes and other ideas which could be applied were analysed. In the summary of this article advantages and disadvantages of individual solutions were presented with their description. Keywords: Traffic analysis; Safety; Road capacity; Tramway; Rebuilding; Traffic conditions