bluuebunny/crossref_metadata_2025 huggingface dataset:
ANALISIS NILAI MORAL DALAM TOKOH NOVEL “PULANG” KARYA SOFI MELONI
Authors: Margaretha Tessa , Nuzulia Armariena Dian , Masnunah Masnunah
Published: August 2023

The purpose of this research is to know and describe the moral values contained in the novel Pulang by Sofi Meloni. The research method used in this research is descriptive method. The data source of this research is the novel Pulang by Sofi Meloni. Data collection techniques in this study used documentation, while for data analysis techniques using content analysis techniques. Based on the results of the analysis, moral values in the form of human relationships with God are found, namely being grateful to God and surrendering to God and praying. In addition, moral values in the form of human relationships with themselves include: patience, responsibility, never giving up and working hard, accepting reality, sincerity, self-confidence, self-awareness, honesty, calmness, and optimism. Furthermore, moral values in the form of human relationships with other humans in the social sphere are giving advice to humans, helping, caring for others, and doing good.
Keyword: Moral Value, Novel, Pulang
ANALISIS KESANTUNAN BERBAHASA PADA NOVEL BRIANNA DAN BOTTOMWISE KARYA ANDREA HIRATA
Authors: Helvy Ranti Uci , Rukiyah Siti , Masnunah Masnunah
Published: August 2023

Language politeness is essentially our ethics in socialising in society. Politeness rules are generally used in every language act. Theoretically, basically everyone should speak politely. Everyone must maintain ethics in communication so that the purpose of communication can be achieved. In connection with the background discussion of language politeness, it is necessary to analyse the novel Brianna and Bottomwise by Andrea Hirata. The characters and characterizations in this novel are more complex and the dialogues are more frequent so that the maxims in the principles of politeness are more likely to appear. The principles of politeness in speech are: (1) maxim of wisdom, (2) maxim of generosity, (3) maxim of praise, (4) maxim of humility, (5) maxim of agreement, and (6) maxim of sympathy. This research is a literature study using qualitative descriptive method. The primary data is the novel Briana and Bottomwise by Andrea Hirata. The primary data is analysed by using secondary data as supporting data to analyse the novels Briana and Bottomwise according to the research domain of the use of language politeness as required through the supporting references of this research.  
Keyword: Analysis of Language Politeness
Physical characteristics of maize seeds and their technological significance in processing and storage of sowing material
Authors:   State Enterprise Institute of Grain Crops of NAAS, Kyrpa М. Ya. , Kovaliov D. V. ,   State Enterprise Institute of Grain Crops of NAAS, Filipkova N. S. ,   State Enterprise Institute of Grain Crops of NAAS
Published: August 2023

Topicality. The research on the preparation of high-quality seed of maize hybrids based on the consideration of their technical and technological properties at the stages of harvesting, processing and storage is relevant today. Purpose. To study and determine the essential physical parameters that characterise technical and technological characteristics and affect the seed quality of maize hybrids. Methods. The research includes theoretical and practical calculations with a review of literature sources, laboratory and model experiments and the laying out of field trials, mathematical and statistical evaluation of the data obtained. The experiments were carried out according to standardised methods of DSTU and agrotechnical recommendations, and the source material was hybrids bred by the State Enterprise Institute of Grain Crops of the National Academy of Agrarian Sciences of Ukraine. Results. The most significant physical characteristics of seeds are evaluated: shape, linear size, volume and geometric surface of seeds, their weight and specific weight, mechanical strength of maize hybrids and self-pollinated lines, and differences between them are determined. Experiments on seed separation, drying and storage were carried out, and certain physical characteristics were identified that have a special impact on the technology of these processes and form the seed quality. Conclusions. The dry seed quality during the separation process is most affected by the linear size of the seed, in particular, seed width, depending on which the fractions with the highest germination and yield are separated (tailing through round holes of 8 mm and more in diameter). Drying is influenced by the coefficient that characterises the ratio of the geometric area to the volume of the seed; at a coefficient of more than 1.0 (in experiments – 1.14–1.22), the intensity of moisture transfer and the drying rate increase by 8.3–15.7 % compared to a coefficient of 1.0. During storage, especially long-term storage, the quality and resistance of seeds is affected by the equilibrium moisture content, which should be at the level of 12 %, depending on the environmental conditions. Key words: maize seed, harvesting, drying, storage, physical characteristics, germination, yield
Chemical composition of winter pea plants in the Southern Steppe of Ukraine
Authors:   Odesa State Agricultural Experimental Station of the Institute of Climate-Smart Agriculture of NAAS of Ukraine, Byrukina S. I. , Kohut I. M. ,   Odesa State Agricultural Experimental Station of the Institute of Climate-Smart Agriculture of NAAS of Ukraine, Rudenko V. A. ,   Odesa State Agricultural Experimental Station of the Institute of Climate-Smart Agriculture of NAAS of Ukraine
Published: August 2023

Topicality. When new crop varieties or cultivars are introduced into production, their chemical composition should be studied, since the latter depends on the climatic conditions of the region and cultivation technologies. Therefore, the study of the peculiarities of the formation of macro- and microelements composition of a new variety of winter peas in the climatic conditions of the Southern Steppe is advisable. Purpose. To evaluate the chemical composition of winter pea and the distribution of macro- and microelements in the structural parts of plants depending on their development stages in the Southern Steppe of Ukraine. Methods. Samples of winter peas were selected by development stages in stationary and temporary experiments, as well as in production and testing crops of agricultural farms of the Odesa region. The following methods were used: laboratory method to determine content of nitrogen, phosphorus, potassium and microelements; statistical method to perform correlation, analysis of variance and statistical evaluation of research results. Results. The paper presents the data on the chemical composition of winter pea cultivated in the Southern Steppe of Ukraine. The peculiarities of accumulation and distribution of macro- and microelements by the leaf-stem mass, grain and roots of winter pea are established. It was found that the rate of toxic elements accumulation in the vegetative mass of pea plants increased and decreased when they moved from plant leaves and stems to grain. Conclusions. The average content of nitrogen, phosphorus, potassium and microelements in grain and by-products of winter pea in the Southern Steppe of Ukraine were determined. We found significant changes in the microelement composition of the leaves and stems, grain and roots of winter pea. A higher variability of microelement content (12.7–70.7 %) was noted in contrast to the macroelement content (7.7–48.3 %). The low resistance of root barriers to the entry of Cd and Pb toxicants into the aboveground organs of winter pea over the entire growing season and the high intensity of the leaf-stem mass resistance to the absorption of these metals by grain were determined. Key words: winter peas, microelements, nitrogen, phosphorus, potassium, content
Schrodinger’s Catgirl: Hoyoverse, Cybernesis, and the Ethnography of Metaverse
Authors: Adams Matthew J.
Published: August 2023

"Metaverse" is not a Silicon Valley utopianism. It is a meaningful descriptor for an increasingly embodied and more deeply integrated internet. Nowhere is it more profound than in China, whose first forays into the metaverse have sent ripples the world over. This ethnography of China-based Hoyoverse, and a subsequent discussion, suggest the meaningful contributions ethnography can make to understanding the metaverse. And how the metaverse will in turn transform the discipline. All of this is articulated through the example of a cyborg catgirl, who may or may not be a mirage.
Beyond Ageism. The Redefinition of Social Categories to Account for Complexity
Authors: Landolfi Lucia
Published: August 2023

Given the need to assign categories while also fostering free thought when conducting research, the aim of this paper is to highlight how the third and fourth age categories are addressed risks inducing ageism in the current aging society. Considering the role that language plays in the construction of the world (Berger & Luckmann, 1966), this literature review aims to identify the ways that the third and fourth age categories have been applied in social science research. Therefore, the potential to avoid the dichotomization of old age necessarily lies in placing things in context so that we comprehend the complexity of old age, e.g., the third or fourth age.
Predictors of Couple Satisfaction
Authors: Ratiu Madalina-Ioana
Published: August 2023

In this paper, we will present the results of research whose main purpose was to analyze the associations between couple satisfaction and some predictors such as attachment, gender, age, marital status, and educational attainment. In the first part, we will briefly present the literature consulted and the most relevant ideas. The second section is devoted to the methodology. The results showed that people with a secure attachment style have high couple satisfaction, women are more satisfied in their relationship compared to men, adults have lower relationship satisfaction as they get older, people with higher education are more satisfied in the couple, and unmarried people are also more satisfied with the couple relationship.
Social Media for the Good of the Community
Authors: Mesesan Schmtz L. , Trusmei A.
Published: August 2023

Today, social media platforms are widely used by individuals, organizations, and companies who want to promote themselves and interact with different audiences. Based on a quantitative content analysis procedure, this research aimed to discover how effectively the NGOs from Brașov County, active in the social services field, use social media platforms to attract community engagement. A total score of effective use was calculated for each NGO. Our findings suggest that nonprofit organizations have low levels of effective social media use.
PENILAIAN KINERJA KEUANGAN DAERAH PADA PEMERINTAH KABUPATEN KEPULAUAN ARU
Authors: Masidonda Jaelani La , Sahupala Jusuf , Baadilla Julia Annadzmi
Published: August 2023

This study aims to assess the financial performance of the Aru Islands Regency Region in 2017-2020. This research is a quantitative descriptive research, carried out at the Regional Financial and Asset Management Agency (BPKAD) of Aru Islands Regency. Data collection uses the documentation method. The data analysis technique uses regional financial ratio analysis. The results of the analysis show that the performance of the local government of Aru Islands Regency, seen from the ratio of independence, can be said to be low, meaning that the level of regional independence is low and still depends on revenue from the center. PAD financial effectiveness ratio can be categorized, not effective. Regional financial efficiency ratios are quite efficient. The ratio of compatibility between routine spending and development spending is not balanced. The PAD growth ratio experienced low growth.

Keywords: Regional Financial Performance, Independence Ratio, Effectiveness, Efficiency, Harmony, and Growth.
ANALISIS PENGARUH FAKTOR INTERNAL TERHADAP BUDAYA MUTU PERGURUAN TINGGI SWASTA DI WILAYAH PROVINSI MALUKU
Authors: Masidonda Jaelani La , Hariyanti Dwi
Published: August 2023

This study aims to reveal the post-covid-19 quality culture through examining internal factors that influence the internal quality culture at private tertiary institutions (PT) in the Maluku region. This research is a quantitative research, the object of research is at private universities in the Maluku region. Conducting research in February 2022-March 2023. The research sample is an internal quality auditor with a total of 43 respondents, with saturated sample criteria. The analytical tool, namely inferential analysis, is used by SPSS through multiple regression. The results of the study explain that the quality culture in post-covid 19 tertiary institutions in the Maluku region is significantly influenced by internal factors through the variables of management support, facilities and infrastructure, regulation and finance.

Keywords: quality culture, management support, regulation, finance and finance
Development of the Regulatory and Institutional Basis for Incrising the Educational Migration to Russia
Authors: Rostovskaya T. K. , Ryazantsev S. V. , Skorobogatova V. I.
Published: August 2023

The publication aims to analyze the existing regulatory framework in the field of edu- cational migration for the implementation of strategic documents in the field of foreign and humani- tarian policy of Russia; assess how the existing legal mechanisms for educational migration meet the objectives; to formulate the institutional conditions for a new stage in the export of Russian education, taking into account geopolitical changes. The publication also presents the results of the monitoring of “double degree” programs conducted by RUDN University in 2022, as well as the risks of introducing a new system of higher education in Russia in the aspect of internationalization. The methodological basis of the study is the analysis of statistical data in the field of international education, as well as the analysis of the regulatory framework, which includes the legislation of the Russian Federation; departmental regulatory documents, international experience. Main research methods: analysis, formal legal and comparative legal.
Factors of Building and Developing an Academic Career: Systematic Theoretical Analysis
Authors: Pesha A. V.
Published: August 2023

The paper presents the results of a theoretical with elements of empirical research aimed at identifying the key factors of building an academic career, disclosed in the works of sci- entists with a proposal to visualize the construct of multifactorial conditionality of career growth in the academic environment. The study was conducted on the basis of a systematic bibliographic analysis of the most cited works on the topic, published in the Scopus and RSCI abstract databases, from an empirical point of view. The method of analyzing the digital footprint in online systems for collecting data on the scientific competitions winners (the results of the RNF competitions for 2021, n=146 projects), narrative interview and written survey of university teachers to clarify the moti- vation and awareness of their choice of academic career (n=52 people). The conducted research allows us to form a model of key factors in the development of an academic career, including 4 main, equivalent groups – personal, reputational, systemic factors and factors of social capital, as well as the luck factor, which is highlighted in a number of studies as influencing the quality and speed of building a career trajectory in the field under study. The paper suggests that the development or stagnation of one group of factors will lead to similar movements in other groups. As a result, the author actualizes the use of career lift technology, which taking into account the indicated factors of influence on academic career development indicators, will contribute to the involvement of young people in science and teaching.
Zawieszenie, wystąpienie i wykluczenie państwa członkowskiego z Organizacji Międzynarodowego Lotnictwa Cywilnego w nawiązaniu do regulacji prawnych Konstytucji RP
Authors: Kubas Sabina
Published: August 2023

Nabycie członkostwa państw w organizacjach międzynarodowych uzależnione jest jedynie od ich indywidualnej i niezależnej woli. Konstytucja Rzeczypospolitej Polskiej w art. 90 wskazuje na taką możliwość, nie odnosi się jednak do procedury wystąpienia państwa członkowskiego z organizacji międzynarodowej, jego wykluczenia lub też zawieszenia uprawnień. Więź członkowska może jednak ulec ograniczeniu poprzez skuteczną procedurę zawieszenia uprawnień członkowskich. Nie jest to jednakże jedyna forma sankcjonowania zachowań państw należących do organizacji międzynarodowych, w tym także do Międzynarodowej Organizacji Lotnictwa Cywilnego. Z inicjatywy ICAO państwo członkowskie może zostać wykluczone z tej organizacji, z kolei z inicjatywy państwa członkowskiego może ono wystąpić z tej organizacji. ICAO przewiduje w swoich przepisach statutowych każdą ze wskazanych procedur, prezentując jednocześnie konkretne przyczyny wszczynania postępowań w tym przedmiocie.
Sprawozdanie z Międzynarodowej Konferencji Kanonistów II Polski Synod Plenarny a synody diecezjalne. Katowice, 8-10 września 2014 roku
Authors: Brol Patrycja
Published: August 2023

W dniach 8-10 września 2014 roku odbyła się Międzynarodowa Konferencja Naukowa Stowarzyszenia Kanonistów Polskich pt. II Polski Synod Plenarny a Synody Diecezjalne zorganizowana pod patronatem abpa dra Wiktora Skworca, Metropolity Katowickiego. Organizatorami tego wydarzenia byli: Stowarzyszenie Kanonistów Polskich, Wydział Teologiczny Uniwersytetu Śląskiego w Katowicach, Kuria Metropolitalna Archidiecezji Katowickiej, Towarzystwo Naukowe KUL oraz Katedra Kościelnego Prawa Publicznego i Konstytucyjnego KUL.
Rosyjska aneksja ukraińskich terytoriów okupowanych w świetle prawa międzynarodowego
Authors: Podraza Marek
Published: August 2023

Federacja Rosyjska, począwszy od 2014 r., trwale narusza integralność terytorialną Ukrainy, łamiąc jednocześnie podstawowe zasady prawa międzynarodowego i normy ius cogens takie jak: zakaz ingerencji w sprawy wewnętrzne innego państwa czy zakaz groźby i użycia siły zbrojnej. Jak pokazały ostatnie lata, aneksja Krymu w 2014 r. była tylko wstępem do realizacji planu pełnego podporządkowania Ukrainy. Od 24 lutego 2022 r. społeczność międzynarodowa jest świadkiem pełnoskalowej agresji Federacji Rosyjskiej, która pomimo jej rozmiarów i zaangażowania ogromnej ilości wojska nie przynosi pożądanych efektów. Z racji tego Kreml, również na potrzeby własne, stara się udowodnić, że interwencja zbrojna przebiega pomyślnie. Jednym z przykładów tego działania było referendum przeprowadzone w dniach 23-27 września 2022 r. w Donieckiej Republice Ludowej (DRL), Ługańskiej Republice Ludowej (ŁRL) oraz obwodach chersońskim i zaporoskim, stanowiących łącznie blisko 1/5 powierzchni Ukrainy, które zakończyło się ich aneksją do Federacji Rosyjskiej. Zostało ono przeprowadzone z naruszeniem podstawowych zasad prawa międzynarodowego, a efektem tego było jego potępienie przez większość społeczności międzynarodowej.
Prawnokanoniczne aspekty wychowania do celibatu w wyższych seminariach duchownych w Polsce
Authors: Jaszcz Adam
Published: August 2023

W tradycji Kościoła łacińskiego przyjęto praktykę łączenia powołania do kapłaństwa z dyscypliną celibatu, który z czasem stał się również normą prawną. Wychowanie do celibatu odbywa się na różnych poziomach formacyjnych, obejmując wymiar duchowy, intelektualny, pastoralny oraz ludzki. Nie można też zapominać o tym, że jeśli celibat rozumiany jest jako norma prawna, której przestrzeganie poprzedzone jest publicznym zobowiązaniem do zachowania celibatu, to wychowanie do wyboru takiego stylu życia musi mieć wymiar prawnokanoniczny, co uwzględniono w nowych zasadach formacji kapłańskiej w Polsce. Podejście prawne do tego zagadnienia może sugerować postrzeganie celibatu w sposób negatywny, jako wyrzeczenie się małżeństwa i rodzicielstwa na skutek zakazu wynikającego z normy prawnej. Takie ujęcie jest fragmentaryczne, a dostrzeżenie prawnokanonicznych aspektów wychowania do celibatu pozwala na przeżywanie tego zobowiązania jako drogi do doświadczenia pełniejszej, większej miłości w sensie chrystologicznym, eklezjologicznym i eschatologicznym.
Implant Development Using 3D Printing with Polylactic Acid-Based Polymer
Authors: Huang Weidong , Wang Zihan , Wang Bo , Liu Xianli , Lu Xiaoju
Published: August 2023

In this paper, a unique implant containing Gentamicin sulfate with biocompatible poly-lactide powders was developed by using such 3D printing (3D printing) process. The implantable drug delivery system prototypes, which were constructed with matrix structure; double-layer structure and sandwich structure, were manufactured with different processing parameters. The cross-sectional morphology of the implant was characterized by three dimensional video microscopic system and environmental scanning electron microscope. The microscopic morphologies and the in vitro releasing experiments of the implants fabricated by both 3D printing technique and conventional technique were investigated to evaluate the performance of the implant devices. At about 60-day release of the implants in vitro, the drug concentration was measured and the profiles were made. The release behavior and the microstructure were subsequently compared between the samples prepared using the 3D printing technology and the conventional technology. The as-described 3D printing technology in this work allows for the design and fabrication of implants with a sophistically micro- and macro-architecture, and thus having unambiguous advantage over the conventional technology.
Open Innovation in Cleaner Production of Indonesian Traditional Batik SMEs: A Causal Loop Analysis Perspective
Authors: Rumanti Augustina Asih , Prambudia Yudha , Pulungan Muhammad Almaududi , Achmad Fandi
Published: August 2023

Collective contribution of Small and Medium Enterprises (SMEs) to economic growth is evident in many countries worldwide. On the other hand, however, it contributes also to environmental burdens the world already suffered today. This paper suggests that sustainable SMEs growth is attainable through Open Innovation (OI) concept. A model is developed with the aim to evaluate the role of OI in reducing SMEs environmental impact. The model development is conducted in two stages; first is identification of relevant variables. This is done by reviewing relevant OI models and select variables based on statistical characteristics; second is building logical relationships between the variables based on interviews and literature reviews. The development is iterative so each iteration can bring new information and update the model. Final model is presented in a causal loop diagram (CLD) and discussed.
Factors Affecting the Smart Port Implementation at Laem Chabang Deep Sea Port, Thailand
Authors: Nakchatree Kanokporn , Prabnasak Jaruwit
Published: August 2023

This study aims at developing and validating a model of causal factors potentially affecting long-term development of Laem Chabang Deep-Sea Port in Thailand. The data collected by a questionnaire survey has been analyzed by a measurement model of latent variables. Several key hypotheses have also been tested by the proposed model. According to the model analysis, it is found that the empirical data analysis is consistent with the theoretical measurement model. The prosperous development is positively influenced with statistical significance by four latent variables – as represented by the following statistics: CMIN/P = 0.068, CMIN/df = 1.282, GFI = 0.976, and RMSEA = 0.027. Additionally, results from the Second Confirmatory Factor Analysis (SCFA) shows that there are two factors considered as key success factors for smart port implementation at the port. It is found that all four factors are rated at high-level of importance with operation, environment, safety and security, and energy, respectively.
A Hybrid Data-Knowledge Driven Method for Technology Development Risk Evaluation
Authors: Zhao Xirui , Lyu Zhuoheng , Ma Peidong , Yuan Xinyou , Hou Jian , Liu Xin
Published: August 2023

As technology competition between countries and companies becomes increasingly intense, various commercial and policy means are being used to hinder the technology development of competitors. The risk of technology development is thus much higher than before and must be accurately assessed so that timely preventive measures can be taken to ensure the safety of technology development. In this paper, a hybrid data-knowledge driven method is proposed for constructing a technology risk evaluation indicator system that can accurately identify the high-risk technologies. Expert knowledge is effectively leveraged through a data-driven model developed from a novel double-layer bagging machine learning method, which is able to learn the indicator aggregation rules in the indicator system automatically. A case study on the risk assessment of smart chip-related technologies for China is provided. As a result, the high-risk areas such as “field programmable gate array” and “central processing unit” are accurately identified, manifesting the effectiveness and accuracy of the proposed method.
Hot Work Control Measures Using CNN-Based Object Detection and Projective Geometry for Industrial Surveillance Application
Authors: Choppradit Pakcheera , Utintu Chaitat , Mahakijdechachai Kasisdis , Suttichaya Vasin , Teepakorn Teepakorn , Thamwiwatthana Ek
Published: August 2023

Industrial safety management has been a common challenge for many industries to implement since industrial hazards could cause fatal risks and unscheduled downtime. In this paper, we proposed an alternative approach for hot work control measures using CNN-based object detection and projective geometry, which could be integrated with the existing surveillance system. This method aims to monitor hot work activity and implement the risk assessment policy, which could control by the hazard area control. The dataset for our study consisted of 909 images of hot work activities captured by two closed-circuit television (CCTV) cameras. There are two steps to our methodology, which are the object detection stage and the bird’s-eye perspective transform stage. In the first stage, Workers, Welders, and Hot works are localized using an object detection algorithm, which is YOLOv5. To maximize the F1-score performance of object detection, we ran the experiments to train YOLOv5 with three levels of augmentations: low, medium, and high. For the second stage, four points are required in the method of transforming the object’s Cartesian coordinates into the new coordination in a bird’s-eye perspective. The radius distance threshold has to be manually calibrated for each specific camera point of view. If there is a worker that moves into the hot work radius, the violation alarm is triggered. The results show that medium augmentations produce the best results, with an overall mAP and F1-score of 0.77 and 0.74, respectively. In addition, the predefined distance threshold is also required and can vary in the different scenarios in the bird’s-eye perspective transform stage.
Paddy Moisture Content and Drying Time Prediction Using Neural Networks
Authors: Teo Yar-Lee , Yip Sook-Chin , Tan Wooi-Nee , Gan Ming-Tao
Published: August 2023

The current paddy drying practice in the rice mill is heating and blowing air continuously to reduce the paddy moisture content to a certain level (i.e., 12%–14%). The stopping time of the drying process is determined via manual checking of the paddy moisture content (MC) from time to time. Several problems (i.e., inconsistent dried paddy quality and excess energy consumption) arise in the usual practice due to human error. Hence, the MC time-series data collected from an actual rice mill can be related to the environment and drying factors to build a moisture content profile of the drying paddy using Long Short-Term Memory (LSTM) neural networks. The prediction is carried out every 2 hours up to 20 hours from the beginning of the drying process. Based on the prediction of the MC level, the optimum drying time can be determined when the MC level reaches the desired level. When evaluated against the validation dataset, our system successfully predicted the MC from 2 hours to 10 hours ahead of time, with a Root Mean Square Error (RMSE) of just 1.5 units.
A Collaborative Digital Platform for Root Cause Analysis in a Value Chain
Authors: Ito Adriana , Li Dan , Hagström Malin Hane , Bokrantz Jon , Skoogh Anders , Bärring Maja , Stahre Johan
Published: August 2023

Collaboration among actors is necessary to create and develop resilience in value chains. However, collaboration tends to be quite restricted when companies are dealing with disturbances and looking for their root causes. With the objective of increasing collaboration among companies in the same value chain in the process of root cause analysis, this article proposes a high-level design of a digital platform. To develop the high-level design, a design science research approach was taken, with the participation of ten different companies. The proposed design is based on identified problems and requirements regarding root cause analysis in the value chain. This study contributes both practically and theoretically. Practically, the proposed high-level design can be used as a direct input for the actual development of a collaborative digital platform. Theoretically, in this study, problems and requirements regarding root cause analysis at the level of the supply chain are identified, adding to existing knowledge in the field.
A Two-Step Method of Statistical Difference Testing and K-Means Clustering for Identifying Quality Factors of Small Steel Bars
Authors: Lee Dong-Hee , Jeong Kwang-Ho
Published: August 2023

As profit of steel enterprises is getting smaller and comparison is getting harder, in steel manufacturing industry quality inspection and control have become main measures for getting over the difficulties. In sequential manufacturing process, failure occurred in preceding process make final quality worse. Detecting the factor which affects to final quality is necessary to make process stable and efficient. Existing studies to improve the surface quality of small steel bars assume that these quality factor have been identified and focus on diagnosis of defects. However, there are no attempts to validate the quality factor based on data. In this paper, we attempt to verify the quality factor based on data using statistical and data-mining techniques. To get over practical problems from variation of quality due to operation date and merge measurement of quality, we suggest method using statistical significance difference and using k-means clustering (k = 2). Method using statistical significance difference considers the overall tendency about quality and method using k-means clustering consider the tendency toward outlier. Quality factors of small steel bar can be detected by using both methods serially. And we apply this method to real world data in case study.
Reinforcement Learning for Quality-Oriented Production Process Parameter Optimization Based on Predictive Models
Authors: Paranjape Akshay , Plettenberg Nils , Ohlenforst Markus , Schmitt Robert H.
Published: August 2023

Production of low-quality or faulty products is costly for manufacturing companies since it wastes a lot of resources, human effort, and time. Avoiding such waste requires the correct set of process control parameters, which depends on the dynamic situation in the production processes. Research so far mainly focused on optimizing specific processes using traditional optimization algorithms, mainly evolutionary algorithms. To develop a framework that enables real-time optimization based on a predictive model for an arbitrary production process, this paper explores the application of reinforcement learning (RL) in the field of process parameter optimization. Inspired by the literature review on both, production process parameter optimization, and RL, a model based on maximum a posteriori policy optimization that can handle both numerical and categorical parameters is proposed. A validation study conducted on data sets from production fields compares the trained model to state–of–the–art traditional optimization algorithms and shows that RL can find optima of similar quality while requiring significantly less time.
Hybrid Continuous Variational Quantum Neural Networks for Network Intrusion Detection
Authors: Chao Suya , Yang Guang , Nie Min
Published: August 2023

In order to solve the problem of excessive parameters and slow computing speed of classical neural networks, this paper uses the powerful parallel computing power of quantum computing to improve the computing speed of classical neural network models, and proposes a hybrid continuous variational quantum neural network (HCVQNN) model that can be used for network intrusion detection. The continuous variable layer of the model is realized through Gaussian gate and non-Gaussian gate, in which Gaussian gate performs operations such as quantum state weight addition and offset term setting, and non-Gaussian gate performs nonlinear operations, thereby improving the overall expression ability of the network model. In addition, aiming at the unbalanced problem of UNSW-NB15 in the network intrusion dataset, this paper proposes to design the algorithm from the feature level and the algorithm level, using the ReliefF algorithm for feature selection at the feature level, and oversampling and undersampling processing at the algorithm level by combining the Borderline-SMOTE algorithm and GMM algorithm. The classification experimental results on the UNSW-NB15 network intrusion dataset show that compared with the other two network models, the HCVQNN network model obtains higher classification accuracy and lower loss function value in both binary classification and multi-classification tasks, and the classification accuracy for minority categories is also improved.
Deep Reinforcement Learning Based Crowd Navigation via Feature Aggregation from Graph Convolutional Networks
Authors: Jiang Haoge , Jiang Xudong , Wan Kong-Wah , Wang Han
Published: August 2023

In this paper, we use the graph convolutional network (GCN) for feature aggregation. Our approach, termed as GCN-RL, can directly deploy on a holonomic mobile robot without any tuning. We first use GCN to extract the hidden features among the robot and humans. These extracted features that represent the spatial relationships and agents-agents interactions are then fed into the actor-critic learning framework. Finally, the deep RL network is optimized based on the aggregated features from GCN and the actor-critic framework. The GCN-RL enables a safer and more efficient navigation policy than the other RL navigation methods. The experiment results show that the proposed learning approach significantly outperforms ORCA and other RL navigation methods.
Integration and Application of Blockchain Technology and SPD Model in the Management of Medical Consumables
Authors: Gao Yalan , Li Minrui , Yu Yuanhong , Luo Mengyue , Gong Yiling
Published: August 2023

With the accelerating development of the healthcare sector in China, the drawbacks of the traditional management mode for medical consumables are emerging due to the great variety of models and frequent changes of suppliers and the management dilemma of high cost and low efficiency has hindered the modernization of hospital management is frustrated for the high cost and low efficiency. This paper firstly analyzes the problems facing traditional management mode for medical consumables, recognizes the importance of the SPD supply chain model applied to medical consumables, further discusses the approaches of applying SPD management mode for medical consumables based on blockchain technology, analyzes the risks of “blockchain + SPD” model and puts forward suggestions accordingly. It turns out that the SPD management mode for medical consumables based on blockchain technology, supported by the supply chain management theory and blockchain information technology, can help effectively reduce the loss of cost caused by information asymmetry, opacity and untraceable, improve the operation and management efficiency of hospitals, and enhance the quality of medical peripheral products and service capability of hospitals. This study provides a reference for the innovation of theoretical framework of supply chain management of medical consumables and the efficient development of blockchain technology in the management of medical consumables.
Ergonomic Proposal in the Storage Area of a Plastic Industry Company to Reduce Industrial Risks
Authors: Huacacolque Pérez Camila Alexandra , Moreno Flores Ximena Patricia , Noriega Aranibar Maria Teresa
Published: August 2023

This research was aimed at identifying ergonomic risks for the warehouse operators in the workstation of a plastics industry company, it also explained the reason for the ailments caused by bad posture and proposed ergonomic design solutions. It is an applied, quasi-experimental, exploratory and descriptive research; with a mixed approach where a Nordic Questionnaire and the REBA methodology were used, as they detect musculoskeletal symptoms prematurely and a posture analysis is performed when carrying out tasks, as well as measurements of lighting and noise. Ailments caused by uncomfortable postures with a high risk rating were found in activities such as order preparation, revision and accommodation, mainly in parts of the body such as the neck, wrists, lower back and hips. As a result, postures that are viable in the warehouse with the use of equipment were proposed, reducing the risk to negligible and medium rating. No risks were found in relation to lighting and noise.
A Cross-Sectional Study on the Psychological Effects of Work-Shift During the COVID-19 Pandemic: A Case of Nurses in the Philippines
Authors: Gumasing Ma. Janice J. , Roa Yuan Therense Mari B.
Published: August 2023

This research aims to determine the effects of work-shift on nurses’ psychological and mental condition, as measured through levels of fatigue, anxiety, depression, and sleep quality. The study uses analysis of variance and correlation analysis to evaluate the relationship between work shifts on the psychological condition of nurses. ANOVA analysis shows that factors mentioned in the study significantly differ in age, gender, time of shift, and duration. The results showed a significant association between work shift, duration, and no. of rest days on fatigue, depression, anxiety, and sleep quality of nurses under study. Thus, this study will be beneficial for nurses and hospital administrators since it could serve as the basis for evaluating their workers’ mental and psychological conditions. With this finding, this study recommends that hospital admin should also equalize employees’ workloads and identify the hazards that could trigger the psychological risk for the employees.
Ergonomic Risk Assessment of Factors Affecting Musculoskeletal Disorder of Engineering Students During Online Setup
Authors: Gumasing Ma. Janice J. , Sanchez Anthony A.
Published: August 2023

The COVID-19 pandemic had a significant impact on educational delivery. Students are now enrolling in online classes offered by their respective schools to make the most of their time at home during quarantine. This means they’ll spend a lot of time in front of computers while learning. This requires them to spend extended periods behind their computers. Thus, the study’s objective was to assess the ergonomic risk factors for the musculoskeletal discomfort of Industrial Engineering students at Mapua University during online learning. Moreover, it was found that the causes of these MSDs were awkward posture, repetitive tasks, and maintaining a posture for an extended period. Consequently, the researcher gathered 152 enrolled IE students at Mapua University. To identify the ergonomic risks, the researcher utilized the ROSA method with CMDQ to analyze the level of discomfort of the students. A risk assessment matrix was also developed for the top five body parts: lower back, upper back, neck, hip/buttocks, and right shoulder. The analysis was then performed on the relationship between the risk factors and the five (5) body parts and hand parts with the highest risk of MSD. These body parts were obtained from the risk assessment matrix results. Correlation and ANOVA analysis with 0.05 alpha level and Hopkins [1] strength criterion was also used to determine their relation and significance to the factors. It was found that sex, workstation setup, screen time, and type of device contributed to the students’ discomfort. To minimize the MSD of the students, the researcher provided FMEA to analyze and evaluate the risks. Next was the proposed workstation design using 3D Sketch Up software and Ergonomics and Design [2] as an Anthropometric Reference Guide. Then, QFD was integrated to identify the wants and expectations of the students in purchasing the proposed ergonomic workstation. Finally, providing an ergonomic intervention plan incorporating the hierarchy of controls to meet the OSH standard to help the students mitigate or minimize accidents, injuries, and MSD while working from home.
The Factors Influenced to Trimming Skill in Pineapples Productivity
Authors: Chandit Pichaya , Watanapa Anucha , Wiyaratn Wisitsree
Published: August 2023

The goal of this study is to identify the key factors that influence the development of trimming skills in a fruit canning factory by collecting data over a three-month period and selecting 10 staff members from the pineapple trimming section as the group sample. The research tool is the questionnaire. We studied the sample group by questioning the key factors, for instance, training satisfaction, stress, and self-motivation. The questionnaire responses indicate that the sample group is satisfied with the training program and the training process; however, despite their greater capacity for trimming pineapple, the sample group found themselves stressed at work due to concerns that the results of trimming pineapple would not meet the factory’s expectations. However, after the training, the results show that productivity is increased by an average +35.00% and defects are decreased by an average –30.00% compared to normal business without training.
Research on Variable Monitoring Strategy Based on Fault Risk Degree
Authors: Wang Xiongwei , Gu Mengyao , Hou Pengfei
Published: August 2023

An economical and effective variable monitoring strategy is an important basis for enterprises to implement condition-based maintenance (CBM) and a meaningful way to reduce maintenance costs. However, the existing research is less involved in this. Therefore, united with the correlation analysis between equipment faults and its monitoring variables, a study on variable monitoring strategy based on fault risk degree is proposed. Firstly, the improved failure mode effects and criticality analysis (FMECA) was employed to evaluate the failure risk degree of equipment. Secondly, the improved association rules were utilized to analyze the correlation between monitoring variables and faults to calculate each variable’s importance and determine its importance level. Thirdly, combined with the importance level of each variable and characteristics of each variable monitoring mode, the variable monitoring criterion was established, and thus the equipment variable monitoring strategy was obtained. Finally, taking the circulating water pump of company A as an example, the proposed method was applied to verify its effectiveness. Results show that the variable monitoring strategy obtained by the proposed method is consistent with that of Company A using its long-term maintenance management experience.
Modification of SERVQUAL Model Sub-Dimensions for the Assessment of Public Service Quality in the Philippines
Authors: Magno Darlyn Jasmin A. , Polancos Ronaldo V.
Published: August 2023

Private organizations and public agencies deliver various services but each is driven by contrasting purposes. This implies that the quality of services may be quantified distinctively. With the everchanging expectations of consumers, a variety of stakeholders, and the criticality of issues regarding the government, the evaluation of quality public services is very challenging. The quality of services provided by public agencies in the Philippines was measured through the utilization of the Delphi method and SERVQUAL model. The key dimensions of the SERVQUAL model were adapted while sub-dimensions were formulated and modified to fit the local public service environment. Crucial factors were identified for each dimension to provide guidance and opportunities for the administration to lead its resources to appropriate resolutions and policies that are in line with the needs of its citizen. It was found that reliability (main dimension) and timeliness of provided service (sub-dimension) scored the highest overall rank of all the dimensions. The results of this paper may provide direction to public agencies with front-line services in developing policies and improving their service delivery.
Minimizing Distance Between Classes in School Timetabling Problem Using a Mixed-Integer Programming Model
Authors: Sakulsom Noppadon
Published: August 2023

A school timetabling problem is a challenging optimisation problem. A set of subjects need to be assigned into a class schedule while these subjects are related to both students and lecturers. The number of students required to attend a class leads to a room’s capacity requirement. Moreover, the time to assign any subject depends on lecturers’ availability. This paper aims to minimize the distance between classes for students as they have to move to another room. A mixed-integer programming model is developed. The model is also used to investigate the difference in total distance between classes when the subject is taught in a single session and multiple sessions. Computational results on 60 generated instances indicate that arranging a class schedule in multiple sessions can lead the increase of total distance from arranging in single session as high as 1,868%.
A Generic Model for the Human and AGV-Aided Reconfigurable Flexible Job Shop Scheduling Problems
Authors: Chen Maoning , Luo Yuting , Zeng Long , Zhang Canrong
Published: August 2023

Scheduling tasks for workshops has been a critical problem in modern factories, especially when many countries promote the development of Industry 4.0. Nowadays, many factories are shifting to flexible, intelligent manufacturing systems (IMS) to improve their ability to respond to customers’ demands of variation and individualization. Previous job shop scheduling problems always simplified the production scenarios by ignoring the machines’ reconfiguration abilities and the participation of human and automated guided vehicle systems (AGVS), which are critical parts of IMS. To address these issues, this paper derives a novel mix-integer programming model for highly-flexible job shop scheduling models in human and AGV-aided IMS to minimize the makespan. A dataset is generated to examine the effectiveness of our model. Furthermore, we conducted numerical experiments on the dataset. Through experiments and analysis, we explore the interaction between optimal values and key factors, including processing time and machine numbers.