bluuebunny/crossref_metadata_2025 huggingface dataset:
Initial material for red lentil (Lens culinaris Medik.) breeding
Authors:   SE Institute of Grain Crops of National Academy of Agrarian Sciences, Kulinich O. O.
Published: August 2023

Topicality. As an important food crop, red lentils account for 70 % of gross consumption, and the demand for these lentils among consumers in Ukraine is constantly increasing, so it is important to develop and promote varieties of this species into production. Purpose. To create and evaluate a new initial material based on a set of economically valuable traits for the red lentil breeding. Methods. The research was conducted at the State Enterprise "Experimental Farm Krasnohradske" in the 2020–2022. The main method used for lentil breeding is intraspecific hybridization followed by individual selection in nurseries. Records and observations were carried out according to generally accepted methods. Results. Plant height of the most productive hybrids ranged from 47.0 to 56.5 cm. The coefficient of variation for this indicator was in the range of 6.4–10.8 %. The number of lateral branches in the studied samples was 5-18 pcs, the coefficient of variation ranged from 15.2 to 26.2 %. The highest number of beans per plant was in the following combinations: natural hybrid with CN 111395 – 281 pcs, and CN 111396 × (Stanka 2 × K. 1212) – 261 pcs on average, the coefficient of variation of this trait was within 32-45 %. Among the studied samples of red lentils, the number of full seeds per plant reached 520 pcs. The best combinations in terms of this indicator were Stanka 2 × K. 1212 with an average of 283 seeds and CN 111396 × (Stanka 2 × K. 1212) with an average of 275 seeds. The coefficient of variation for this indicator was quite high (36–52 %), depending on the combination. The grain weight per plant was 6.3–8.6 g. Еhe coefficient of variation of this trait was 46–51 %, which indicates a significant potential for the selection of highly productive lines. The high yielding combinations by grain weight per plant were hybrid combinations Stanka 2 × K. 1212; CN 111396 × (Stanka 2 × K. 1212). Conclusions. It was found that extreme growing conditions reduced both average and maximum values for all traits. Significant variation in the number of beans and seeds per plant as well as in the seed weight per plant was recorded. In the near future, the developed hybrid combinations are planned to be included in the breeding programme for new high-yielding red lentil varieties. Key words: lentil, variety, hybridization, cotyledons, yield, traits, hybrid combinations
Adaptive potential of winter triticale breeding lines (×Triticosecale Wittmack) in Forest-Steppe of Ukraine
Authors:   The V. M. Remeslo Myronivka Institute of Wheat NAAS, Pirych A. V. , Fedorenko M. V. ,   The V. M. Remeslo Myronivka Institute of Wheat NAAS, Fedorenko I. V. ,   The V. M. Remeslo Myronivka Institute of Wheat NAAS, Kuzmenko Ye. A. ,   The V. M. Remeslo Myronivka Institute of Wheat NAAS, Blyzniuk R. M. ,   The V. M. Remeslo Myronivka Institute of Wheat NAAS
Published: August 2023

Topicality. The requirements for modern winter triticale varieties include high grain yield and quality, as well as resistance to adverse environmental factors, i.e. high adaptability. Therefore, it remains important to develop varieties that combine the highest yield potential with genetic resistance to limiting factors. Purpose. To identify winter triticale breeding lines with high adaptability for use in breeding practice. Materials and Methods. The studies were carried out at the V. M. Remeslo Myronivka Institute of Wheat NAAS of Ukraine. As a standard, the Amur variety was used. We have examined 20 breeding lines. Accounting plot area was 10 m2, trial was repeated four times. In experiment, laboratory-field and mathematical-statistical methods were used. Results. In 2019/20-2021/22, contrasting meteorological conditions made it possible to evaluate and select breeding lines of winter triticale by adaptive potential. It was found that the yield, which actually characterises the genotype response to environmental growing conditions, was the highest (5.36 t/ha) in 2020/21 and the lowest (3.81 t/ha) in 2019/20. It was established that the breeding lines 22002 ( = 4.97 t/ha), 22008 ( = 4.88 t/ha), 22016 ( = 4.79 t /ha) had the best general adaptability in comparison with the Amur variety-standard, and they were included in the group with the highest indicators of maximum yield (ranks of 1–3). The coefficient of variation was characterized by an insignificant (7.24–7.66 %) and medium level of variability (12.54–16.65 %), which confirms a fairly high and stable genotypic component in the formation of plant productivity. Calculations of ecological plasticity made it possible to identify the lines 22015, 22004 (bi = 0.63), which significantly reduced the yield under limited growing con-ditions. It is explained by high resistance of these lines to adverse environmental factors. In terms of yield, the highest homeostaticity and breeding value were shown by lines 22004, 22015, and 22008. Conclusions. During the research, we have identified the breeding lines 22004, 22015, 22008, and 22002 with high adaptive potential, which can used as a source material for developing highly productive varieties in the Forest-Steppe of Ukraine. Key words: winter triticale, breeding lines, adaptability, yield, meteorological conditions
Еconomic efficiency of growing winter barley depending on sowing dates and seeding rates
Authors:   State Enterprise Institute of Grain Crops of NAAS, Zavalypich N. O. , Cherenkov A. V. ,   State Enterprise Institute of Grain Crops of NAAS, Pedash O. O. ,   State Enterprise Institute of Grain Crops of NAAS, Kulyk А. О. ,   State Enterprise Institute of Grain Crops of NAAS
Published: August 2023

Topicality. Nowadays, profitable agricultural production requires a comprehensive analysis of the feasibility of each agrotechnical technique of cultivation of field crops, including winter barley (Hordeum vulgare L.). In market conditions, the main criterion for choosing a technology for growing a particular crop is economic efficiency. Therefore, a competitive technology is the one that provides the highest profitability and profit. Purpose. Investigation of the influence of agrotechnical practices on the level of economic efficiency of growing winter barley. Methods. The field experiments were laid out and carried out in accordance with the generally accepted methodology of research. In the experiments, the winter barley of Deviatyi val variety was sown, followed by sunflower as a predecessor. Sowing was carried out in four dates: 20, 30 September and 10, 20 October with seeding rates of 4.5, 5.0, 5.5, 6.0 million germinable seeds/ha. Results. On average, over the years of research (2017–2019), the best economic output was obtained by sowing winter barley on 30 September. As a result, the highest grain yield was 5.28–5.52 t/ha with a profitability level of 71.6–82.6 %. Sowing on 20 October in all variants of the experiment resulted in the lowest cost recovery when growing winter barley on a non-fallow predecessor, and the profitability level ranged from 16.1–21.7 % depending on the seeding rate. Sowing on 30 September resulted in the highest profit of 9321–10562 UAH/ha, which is 7375–7958 UAH/ha more compared to the variants with sowing dates at the end of the second ten days of October. Conclusions. We found that the economic indicators during the years of research were influenced by the grain yield of winter barley depending on the technological practices of its cultivation in the Northern Steppe of Ukraine. The research aimed at determining the economic efficiency of growing winter barley after sunflower, depending on the sowing dates and sowing rates, found that the variant with sowing on 30 September, where the highest grain yield was obtained, was more profitable. The sowing date with a seeding rate of 5.0 million seeds/ha provided the highest profitability (82.6 %), and the net income reached 10562 UAH/ha. Key words: winter barley, sowing dates, seeding rates, yield, economic efficiency
A Right of the Defendant: Requesting the Re-Administration of Evidence during the Criminal Prosecution
Authors: Gliga Ioan
Published: August 2023

Although the adversarial principle is specific to the phase of the preliminary chamber and the trial phase, there are situations in which this general principle of law is also applicable to the criminal prosecution phase. This paper proposes to capture the applicability of art. 100 CPA, by reporting the possibility of the suspect or the defendant proposing the administration of evidence during the criminal prosecution phase. We will dissect the issue of the administration of evidence at the request of the suspect or the accused in the criminal prosecution phase, taking into account the provisions of the criminal procedure code, but also the European provisions applicable to the topic tackled here.
Theoretical and Practical Aspects regarding the Independence of the Romanian Ombudsman
Authors: Saramet Oana
Published: August 2023

The Romanian Ombudsman (the Romanian People's Advocate) is an autonomous and independent public authority, as provided for by the law on the organization and functioning of this public institution, which is not part of any of the three powers in the state - legislative, executive and judicial. The decision of the constitutional legislator not to include this public institution in any of the three classic powers was determined, in our opinion, by the desire, but also the need, to configure an impartial institution that would exercise its constitutional and legal role with complete objectivity. In this context, through this paper, we propose to analyze, through specific research methods, such as the comparative, sociological, and teleological method, if the way of appointing and, respectively, revoking the head of this institution is one that does not affect this role, risking politicizing the institution of the Ombudsman.
The Creative Paradox of AI: Enabler or Disruptor of Human Imagination?
Authors: Gross Eduard C.
Published: August 2023

The use of artificial intelligence (AI) in communication and its effects on the market for creative jobs are covered in this article. While AI-generated pictures offer numerous advantages, such as efficiency and flexibility, the article emphasizes that they can have ethical consequences, such as deceit, stereotyping, illicit data usage, and intellectual property infringement. The essay goes into further detail on the problems of copyright, artistic credit, and imitation when using AI to create artwork. The dispute over whether robots can actually produce works of art or can only imitate human creativity is also discussed in the essay, raising concerns about the very nature of creativity. The paper concludes by highlighting the significance of analyzing the ethical implications of emerging technology.
Literature review: visible light communication system business model scheme for telecommunication business in Indonesia
Authors:   Universitas Indonesia, Wicaksono Khalfan Nadhief Prayoga , Apriono Catur ,   Universitas Indonesia
Published: August 2023

The telecommunication sector mainly comprises operators, vendors, and regulators. In Indonesia, tele- communications operator companies tend to decrease profits from the first quarter of 2017 to the third quarter of 2018. This condition is due to the tight competition of telecommunication service providers, high operational costs, and digital transformation that does not provide substantial revenue for the company. Telecommunica- tions operators need other service options that can expand target market segmentation. It aims to open up a new blue ocean as a new source of income. The world is getting closer to massive communication technology, so high-speed communication is needed. Therefore, telecommunications operators can open new service options based on the visible light spectrum as their communication resources. This option can be integrated with ambient lighting, a wide spectrum ranging from radio waves, and greater bandwidth, making visible light suitable for IoT- 5G services. This research aims to design a wireless visible light communication business model. Several frame- works are used, such as the magic triangle of St. Gallen, Osterwalder Business Model Canvas, and PESTLE analysis. The business model design results in a business model with B2B market segmentation being the main focus and B2C market segmentation to acquire retail customers.
ANALISIS MANAJEMEN RANTAI PASOKAN INDUSTRI RUMAHAN TAHU DI DUSUN I SIDORUKUN KABUPATEN LABUHAN BATU
Authors: Devyana Melati , Rahmani Nur Ahmadi Bi , Dharma Budi
Published: August 2023

Penelitian ini bertujuan untuk mengetahui bagaimana aliran rantai pasokan dalam industri rumahan penghasil tahu di Dusun I Desa Sidorukun Kabupaten Labuhanbatu dan penyebab terjadinya kelebihan produksi tahu beserta cara mengatasinya. Metode yang digunakan dalam penelitian ini adalah penelitian kualitatif dengan menggunakan data primer dengan melakukan peninjauan langsung ke pabrik pembuatan tahu, dan data skunder yang diperoleh dari instansi maupun lembaga yang berkaitan. Data diperoleh melalui penelitian kepustakaan, wawancara dan observasi di lapangan. Hasil dari penelitian ini menunjukkan aliran rantai pasokan pada industri rumahan tahu di Dusun I Sidorukun ini memiliki 3 aliran yaitu aliran produk, aliran keuangan dan aliran informasi. Kelebihan produksi terjadi karena kurangnya informasi, ketidakmampuan pengecer dalam melakukan perencanaan yang tepat dalam mengukur permintaan pasar dan mengatur tingkat produksi yang sesuai dan adanya persaingan yang menyebabkan produsen tidak dapat menurunkan kapasitas produksinya. Solusi berdasarkan analisis yang telah penulis lakukan adalah melakukan komunikasi yang efektif dan pembagian informasi yang tepat, menambah jumlah pengecer dan juga melakukan diversifikasi turunan pada produk tahu.
ANALISIS BELUM OPTIMALNYA REALISASI ANGGARAN BELANJA PADA BAGIAN UMUM SETDA MALUKU
Authors: Masidonda Jaelani La , Muslim Muslim , Nursan Ayun Karmila
Published: August 2023

This study aims to analyze the not yet optimal realization of the expenditure budget at the Maluku Regional Secretariat General Bureau. This study uses a quantitative descriptive research approach and is supported by in-depth interviews, in which the researcher explains existing phenomena using numbers to obtain an overview and characteristics of the conditions under study. Data collection is done by means of interviews, observation (observation) and documentation. Data analysis techniques use spending variance and spending growth. The results of this study indicate that the results of the analysis of variance on state spending in 2019 - 2020 show an increase. Meanwhile, the results of the analysis of budget growth in 2020 show not good. This is because the growth value is negative, which is caused by refocusing.

Keywords: Analysis, Budget, Expenditure Realization
Production System Configuration Design for an Unmanned Manufacturing Factory
Authors: Luo Yuting , Chen Maoning , Zeng Long , Zhang Canrong
Published: August 2023

In Unmanned Manufacturing Factory (UMF), we consider a workstation consisting of a machine and several workbenches, each assigned an AGV to perform the parts transporting service. Every workpiece requires multiple processes at the same workbench, and the time for the AGV to transport a part is greater than the time for the machine to assemble it. This operating model is complex, as several workpieces corresponding to several workbenches are in service at the same time. We extract the production system into a Semi-Open Queuing Networks (SOQNs) model. We use four parameters to describe the states of the system and construct the transition rate matrix. We find that the matrix has a particular structure that enables us to solve it with Matrix Geometric Method (MGM). Following a First-Come-First-Served (FCFS) policy, the performance of this production system with unlimited queuing space is evaluated in terms of service intensity, queue length, sojourn time, and throughput. The numerical experiments demonstrate a significant reduction in the sojourn time of the workpiece in the system when the number of workbenches increases to a certain value. Our work can provide important suggestions for designing UMF.
Grounded Analysis of Niche Factors and Ecological Niche Evaluation of Manufacturing Enterprise Under the Background of Digital Servitization
Authors: Zhang Yaqi , Jing Wang , Hu Zhendong
Published: August 2023

The ecological niche of an enterprise is composed of ecological niche factors, which affect the long-term development of the enterprise.This paper aims to identify the factors that influence the ecological niche of manufacturing enterprises in the service ecosystem, and explores the constitutive dimensions of ecological niche factors of manufacturing enterprises in the context of digital servitization through the research method of rooting analysis. Four types of ecological niche factors are identified and divided into internal and external dimensions according to whether the ecological niche factors have a direct impact on the business activities of the enterprise. The development history of the digital service business and the current status of its ecological niche are analyzed in the context of the case company, and the future changes of the ecological niche are predicted by fitting the numerical curves of the ecological niche factors for ten years. The study enriches the existing research results of ecological niche theory and provides a measurement basis for the evaluation of ecological niche factors of manufacturing enterprises in the transformation of digital services.
Integrated Production/Inventory and Condition-Based Maintenance Control of a Multi-Item Production System Under Stochastic Demand
Authors: Darendeliler Alp , Claeys Dieter , Aghezzaf El-Houssaine
Published: August 2023

This paper studies the joint production/inventory and condition-based maintenance control for a multi-product manufacturing system with setup and maintenance times under stochastic product demands. The problem is modelled as a semi-Markov decision process (SMDP). The objective is to find a joint production and maintenance policy that minimizes the long run expected discounted cost including setup, holding, lost sales, preventive and corrective maintenance costs. A Q-learning method with state aggregation (QLA) is proposed to find near-optimal policies for large-scale problems that cannot be solved to optimality due to the curse of dimensionality. The numerical results show that QLA provides well-performing policies in a reasonable computational time.
A System-Based Classification and Prioritization Model to Prevent Dead Stock Occurrence in Retail Store Systems
Authors: Li Richard , Seva Rosemary , Chiu Anthony
Published: August 2023

Retail chain stores commonly experience dead stock inventory accumulation due to the absence of indicators and decision rules in the inventory management system to track down the impact of potential dead stocks when left “unattended” or “unmanaged” in the warehouse. Potential dead stocks are inventory items that are either near-expiry, near its end-of-season, near the end of its product market life cycle, or simply slow moving which will soon become dead stocks in the warehouse if not managed in a timely manner. Most retail systems have focused on fighting the dead stock fire rather than developing a standardized process to manage inventories and prevent potential dead stocks from becoming dead stocks. The systematic management perspective is to identify the potential dead stocks first and then apply the best strategies to prevent the occurrence of dead stocks. This research aims to develop a standardized potential dead stock identification and prioritization framework that will provide the level of priority for management intervention using decision rules. Literature review is performed to develop the indicators required. The framework is then validated through hypothetical data sets. As a result, the classification phase shows that the data sets produced similar industry findings on dead stock composition as a percentage of total inventory. Next, the prioritization phase shows that considering a 10-4-1 risk weight produces more discriminating ranks than a 9-3-1, adopted from the House of Quality (HOQ) framework. The rank discrimination is an important metric for this to address the primary research objective as it represents the ability of the framework to prioritize intervention given urgency based on criteria and resource constraints. Further research may be performed on enhancing the decision rules used in producing the prioritization output of the developed framework.
Improvement Model to Increase the Order Fulfillment Rate in a Peruvian SME Food Company Using SMED, Kanban and Standard Work
Authors: Perez-Canchanya Christian , Urbina-Suarez Marialejandra , Flores-Perez Alberto
Published: August 2023

The food industry is one of the main players in the development of the Peruvian economy. However, new challenges and changes are continuously presented in order to better adapt to the needs of the consumer, and in the process to overcome these challenges, problems such as poor process management, long production times and low efficiency are often encountered. In this way, the aforementioned drawbacks generate as a consequence a low rate of order fulfilment, which generates a negative economic impact. In this research, a model using Lean manufacturing tools such as SMED, Kanban and Standard Work was proposed. The model mainly seeks to increase to 95% the current order fulfilment rate in a Peruvian SME food company, which after the implementation of the model obtained a value of 95.86%. In addition, other improvements were obtained such as a 14.45% reduction in penalties, a 19% reduction in the main process (pack arming) cycle time and a 10.33% reduction in moving times. These results proved the effectiveness of the proposed model, which was validated through a simulation in the Arena 16 Software.
Supply Chain Coordination with Multiple Retailers Under Combined Revenue Sharing and Buy-Back Contracts
Authors: Lv Jinhao , Wei Lingyun
Published: August 2023

This paper mainly proposes a coordination mechanism for a supply chain system containing multiple retailers and one supplier. According to the proposed coordination mechanism, lateral transshipments are performed among retailers while revenue-sharing contract is used to allocate the revenue caused by lateral transshipment. Meanwhile, buy-back contract is used to coordinate the retailer and supplier. We use a supply chain system with a supplier and two retailers as an example to demonstrate the effectiveness of the proposed coordination mechanism. The numerical example shows that the proposed coordination mechanism can effectively coordinate the discussed supply chain.
A Multi-Objective Model for Meal Delivery Problem in Thailand
Authors: Dusadeerungsikul Puwadol Oak , Wisaprom Nutnaree , Sae-Ngow Thiti , Hanvivatpong Pittoon
Published: August 2023

The online meal delivery business in Thailand has grown substantially. Online platforms, customers, and riders are the three main stakeholders in this service system. While the platform aims to minimize total operation cost, customers would like to receive a high-quality meal. Moreover, the riders who are responsible for the pickup and delivery of meal to the customer’s house focus on maintaining their income. To address the issue, this research develops and validates a multi-objective model. The three objectives are to 1) minimize total operation costs, 2) minimize meal waiting time, and 3) maximize the number of riders receiving orders. From the experiments, the results indicate that when operation cost is the primary concern, only a small number of riders will be assigned the order. Alternatively, if the meal quality is the most important factor, orders must be distributed to all riders, which will maximize the number of riders who receive assignments at the same time.
Forecasting of Thailand Electricity Load Consumption Using Machine Learning Algorithms
Authors: Kantanantha Nantachai
Published: August 2023

Electricity is important in our modern life and also essential to the development of the country. Since the electricity load consumption in Thailand increases almost every year, the power systems capacity expansion is unavoidable. The purpose of this paper was to apply the machine learning algorithms to forecast the long-term electricity load consumption in Thailand. Three algorithms employed were artificial neural network (ANN), support vector regression (SVR), and k-nearest neighbors (KNN). The performances were evaluated in terms of mean absolute percentage error (MAPE). The results showed that the ANN outperformed other algorithms with a MAPE of 2.586%.
Numerical Simulation of Crushing and Energy Absorption of Graded Hierarchical Honeycomb
Authors: Wang Minxue , Zhang Dahai
Published: August 2023

Hierarchical structures are widely observed in nature, and they have been considered to have excellent mechanical properties. In this paper, a novel hierarchical honeycomb with graded design is proposed to improve impact resistance. Two parameters are selected to determine the design of hierarchy and gradient respectively. A series of nonlinear finite element models are developed in Abaqus to systematically explore the crashworthiness. In in-plane crushing, the deformation mode of honeycomb is studied, and the specific energy absorption (SEA) is mainly discussed in out-of-plane crushing. Compared with the traditional honeycomb, the energy absorption characteristics can be increased by up to 81.4% in the simulation.
Analyzing Impact of Economic Indicators on Vietnam Stock Market Using Machine Learning Techniques
Authors: Sangsawai Nuttawan , Sutivong Daricha
Published: August 2023

Many people find interest in stock markets because of the potential financial gains. Understanding the fundamentals of each stock market is crucial as each has its own unique traits and driving factors. Traditionally, statistical methods are commonly used to find the relationship between various economic indicators and the stock markets. This study aims to utilize a different approach, namely machine learning techniques, a widely used tool for data analytics, to analyze the impact of economic indicators on the Vietnam stock index, which is a rising market during the past decade. The investigated machine learning algorithms include tree-based algorithms such as Decision Tree, Random Forest, and XGBoost. Monthly data, totaling 257 observations from August 2000 to December 2021, were used in this study. The results reveal that the XGBoost algorithm achieves the highest accuracy at 96.67% and the five most influential variables affecting the Vietnam stock market are S&P 500 index, consumer price index, exports, imports, and oil price, respectively, all with a positive relationship, while the relationships of the exchange rate, unemployment rate, and GDP with the Vietnam stock market are unclear.
Interaction Modalities for Augmented Reality Applications in Manufacturing
Authors: Keshav Kolla Sri Sudha Vijay , Plapper Peter
Published: August 2023

Augmented Reality (AR) applications are beginning to see rapid adaptation in the manufacturing sector. AR systems in the manufacturing industry can assist operators in simple manufacturing tasks, such as virtual instructions, as well as complex remote assistance and maintenance tasks. There are many ways to interact with AR content, commonly known as interaction modalities. These modalities are classified into three categories: touch, touchless, and wearable, or sometimes a combination of more than one modality known as multimodal interfaces. However, in the manufacturing industry, there is no one-size-fits-all solution regarding the interaction with AR content. Current research explores various input interaction modalities in AR and assesses the advantages & disadvantages associated with them in the manufacturing context. We adopt both touch and touchless modalities in our case study of assembling a planetary gear and present the merits and demerits of each modality assessing the extent of natural user interaction with AR content. Interaction with a wearable AR system is not part of this investigation.
A Constraint Programming Model for the B-Coloring Problem
Authors: Montemanni Roberto , Carraretto Gabriel Henrique , Mele Umberto Junior , Gambardella Luca Maria
Published: August 2023

B-coloring is a theoretical optimization problem on a graph that, on top of being used to model some real-world applications, is exploited by some bounding techniques embedded into solvers for the classical graph coloring problem. This implies that improved solutions for the b-coloring problem have an impact on an even larger pool of practical applications modelled by graph coloring in several different fields such as scheduling, timetabling and telecommunications. The b-coloring problem aims to maximize the number of colors used to provide a complete coloring for a graph G = (V,E), while preventing adjacent vertices from receiving the same color. Moreover, each color used is associated to a so-called a b-vertex. A vertex can be a b-vertex only if the set of colors assigned to its adjacent vertices includes all the colors used, apart from the one assigned to the vertex itself. In this work we discuss a new Constraint Programming model for the b-coloring problem and we show how such a paradigm can improve state-of-the-art results for several benchmarks instances commonly adopted in the literature.
Utilizing Key Internet of Things Concepts in Improving the Performance of Card-Based Access Control Systems for Vehicles in Truck-Loading Fuels Terminals
Authors: Bahgat Moatz M. , Farag Hania H. , Alim Onsy Abdel
Published: August 2023

The Internet of Things (IoT) is viewed as the umbrella under which heterogeneous devices are connected to form what is called the network of the future (NoF). In the IoT era, all objects and devices are instrumented, interconnected, and interacted with each other in a smart manner. Those smart Things gather huge amounts of data from the real world and stream them up to the digital services running in the cloud. This paper; however, attempts to demonstrate practically that the Internet of Things is more than just connecting the cyber and physical worlds, but it may also improve the performance of existing systems and applications drastically if its concepts were used efficiently. Many different types of communication systems and networks might benefit from the efficient utilization of IoT concepts, being architectural concepts, communication models, or key IoT-enabling technologies.
Improving Utilization of On-Site Physical Examination: An Electronic Factory Study
Authors: Kittithreerapronchai Oran , Aungatichart Patarapun , Boonyachut Nan
Published: August 2023

Many large organizations have offered annual on-site physical examinations to facilitate their employees and to maintain a consistent daily workforce. Unlike a hospital, this temporary physical examination site raises concerns for a healthcare provider as medical staff and resources must be prepared for an unplanned number of patients in a new environment. This study was carried out on the physical examination of an electronic factory that operates 24 hours a day. Based on the preliminary data, blood sample collection is a critical process as it requires fasting and must be completed before the beginning of each shift, whereas other physical examination procedures can be done during breaks or the following date. As a result, we adopted lean management and proposed operational improvements, such as appointing patients, bypassing stations, and balancing medical staff. Using a discrete-time event simulation, the comparison suggests that a suitable combination of appointing patients daily and bypassing some stations can improve the utilization of stations at the same service levels.
Improvement in Delivery Times Using Lean Manufacturing Tools in a SME the Beverage Sector in Peru
Authors: Hernandez Asian Aisha , Tello Cornejo Antonella , Flores Perez Alberto
Published: August 2023

The non-alcoholic beverage industry, such as bottled water, is one of the largest industries in which the process is carried out at the lowest cost, but with the highest quality in the final product. This sector has a significant impact on the world economy, and consumption per person is constantly growing. This research focuses on the improvement of delivery times through Lean Manufacturing tools. The model makes use of tools such as 5S’ to create and maintain a more efficient and productive space, improve overall equipment efficiency through Total Productive Maintenance, and optimize material and operator movements by eliminating unnecessary ones using Standard Work, from that were positive indicators for management. For the validation of our proposal, an integrating model of the pilot plans was carried out in order to corroborate the efficiency of the proposed tools using the Arena software. By validating the proposed model, it was possible to reduce the rate of products delivered out of time by 37.82%, increase the OEE of the machine by 16% and reduce cycle times.
Application of Lean Manufacturing to Increase Productivity of a Company in the Metalworking Sector
Authors: Jara Bruno , Calderon Shantal , Avalos-Ortecho Edilberto
Published: August 2023

The application of lean manufacturing seeks to reduce waste and increase productivity, a problem faced by SMEs in the metal-mechanic sector in Peru, due to the lack of knowledge of the tool and the organizational culture. This investigation was carried out in a mype of the metalworking sector in which, after making a diagnosis using VSM, the low productivity (47%) of the hinge manufacturing process was found as the main problem. The main inputs found in the data collection were high waiting time in the assembly process (52 min), material transportation time (5.85 min) and delay due to access to tools. For this reason, the objective of the research is the application of lean manufacturing to increase the productivity of the company. The selected tools were 5S to reduce disorder and delay in access to tools, SLP to reduce material transportation time, and JIT to reduce waiting time in the assembly process (circulation time). As a result of the application, a 10% increase in productivity and a 60% reduction in the cycle time of the hinge manufacturing process were obtained.
Surface hardening of Ti–Al–V superalloy spinal implant by using the boronization method
Authors: Hekimoğlu Mehdi , Özer Hıdır , Kiraz Kamil , Onursal Ceylan , Siyahcan Ferit , Özer Ali Fahir
Published: August 2023

BACKGROUND: We compared the raw Ti–Al–V super alloy transpedicular implant screws with boronized and surface-hardened transpedicular implant screws. OBJECTIVE: To improve patients’ postoperative prognosis with the production of harder and less fragile screws. METHODS: Surface hardening was achieved by applying green-body encapsulation of the specimen with elemental boron paste which is sintered at elevated temperatures to ensure the boron-metal diffusion. Boron transported into the Ti–Al–V super alloy matrix gradually while suppressing aluminum and a homogeneously boronized surface with a thickness of ∼15 microns was obtained. The uniform external shell was enriched with TiB2, which is one of the hardest ceramics. The Ti-Al-V core material, where boron penetration diminishes, shows cohesive transition and ensures intact core-surface structure. RESULTS: Scanning electron microscope images confirmed a complete homogeneous, uniform and non-laminating surface formation. Energy-dispersive X-ray monitored the elemental structural mapping and proved the replacement of the aluminum sites on the surface with boron ending up the TiB2. The procedure was 8.6 fold improved the hardness and the mechanical resistance of the tools. CONCLUSIONS: Surface-hardened, boronized pedicular screws can positively affect the prognosis. In vivo studies are needed to prove the safety of use.
Experimental characterization of motion resistance of the sacroiliac joint
Authors: Toyohara Ryota , Hammer Niels , Ohashi Toshiro
Published: August 2023

BACKGROUND: The human sacroiliac joint (SIJ) in vivo is exposed to compressive and shearing stress environment, given the joint lines are almost parallel to the direction of gravity. The SIJ supports efficient bipedal walking. Unexpected or unphysiological, repeated impacts are believed to cause joint misalignment and result in SIJ pain. In the anterior compartment of the SIJ being synovial, the articular surface presents fine irregularities, potentially restricting the motion of the joints. OBJECTIVE: To clarify how the SIJ articular surface affects the resistance of the motion under physiological loading. METHODS: SIJ surface models were created based on computed tomography data of three patients and subsequently 3D printed. Shear resistance was measured in four directions and three combined positions using a customized setup. In addition, repositionability of SIJs was investigated by unloading a shear force. RESULTS: Shear resistance of the SIJ was the highest in the inferior direction. It changed depending on the direction of the shear and the alignment position of the articular surface. CONCLUSION: SIJ articular surface morphology is likely designed to accommodate upright bipedal walking. Joint misalignment may in consequence increase the risk of subluxation.
Error Correction for Discrete Tomography
Authors: Ceko Matthew , Hajdu Lajos , Tijdeman Rob
Published: August 2023

Discrete tomography focuses on the reconstruction of functions from their line sums in a finite number d of directions. In this paper we consider functions f : A → R where A is a finite subset of ℤ2 and R an integral domain. Several reconstruction methods have been introduced in the literature. Recently Ceko, Pagani and Tijdeman developed a fast method to reconstruct a function with the same line sums as f. Up to here we assumed that the line sums are exact. Some authors have developed methods to recover the function f under suitable conditions by using the redundancy of data. In this paper we investigate the case where a small number of line sums are incorrect as may happen when discrete tomography is applied for data storage or transmission. We show how less than d/2 errors can be corrected and that this bound is the best possible. Moreover, we prove that if it is known that the line sums in k given directions are correct, then the line sums in every other direction can be corrected provided that the number of wrong line sums in that direction is less than k/2.
Antigenic targets in clear cell renal cell carcinoma
Authors: Schindler Nicholas R. , Braun David A.
Published: August 2023

Immune checkpoint inhibitors (ICIs) have transformed the management of advanced renal cell carcinoma (RCC), but most patients still do not receive a long-term benefit from these therapies, and many experience off-target, immune-related adverse effects. RCC is also different from many other ICI-responsive tumors, as it has only a modest mutation burden, and total neoantigen load does not correlate with ICI response. In order to improve the efficacy and safety of immunotherapies for RCC, it is therefore critical to identify the antigens that are targeted in effective anti-tumor immunity. In this review, we describe the potential classes of target antigens, and provide examples of previous and ongoing efforts to investigate and target antigens in RCC, with a focus on clear cell histology. Ultimately, we believe that a concerted antigen discovery effort in RCC will enable an improved understanding of response and resistance to current therapies, and lay a foundation for the future development of “precision” antigen-directed immunotherapies.
The Big Bang theory: two fatal flaws
Authors: Traunmüller Hartmut
Published: August 2023

The cosmic microwave background radiation is routinely cited as evidence for a hot Big Bang. Its isotropy harmonizes with the cosmological principle. However, in prototypical Big Bang models, all matter originates from a primeval fireball that also emits the light that is redshifted into these microwaves. Since light escapes from its source faster than matter can move, it would need to return for it to still be visible to material observers, but the universe is considered ‘flat’ and non-reflective. This prevents us from observing the redshifted glow of the primeval fireball. Like its observability, its homogeneity would also be transient. This is concealed by considering the light to expand with the ‘Hubble flow’ while disregarding that it escapes at _c_. This blunder reflects the practice of treating model universes in General Relativity as filled with a spatially homogeneous fluid. For radiation, this becomes inappropriate when it is no longer scattered. What we actually observe remains unexplained. Moreover, the calculation of line-of-sight distances allows an expanding view into a large pre-existing universe. For other aspects, the universe is assumed to have been smaller before. This creates contradictions such as between the observed source of the cosmic microwaves and their much smaller and closer assumed emitting source. The criticism expressed here goes against the ‘hard core’ of an established research program. Those cores are treated as inviolable, which blocks fundamental progress. Such blockage can persist for generations even if the theory that is promulgated as the best we have is actually irrational.
The Role of the Public Prosecutor in the Investigation
Authors: Vári Vince
Published: August 2023

The study describes the prosecutor’s role in the initiation phase of the criminal procedure: in the preparatory procedure, the powers, tasks, management and supervision activities authorised by the Criminal Procedure Act are presented in detail. In the investigative stages following the preparatory procedure, the study includes an overview and precise delimitation of the conditions under which we can speak separately about the preliminary investigation and the inspection stage. This section emphasises the differences concerning the relationship between the investigating authority and the prosecutor’s office, depending on whether it is a preliminary investigation or an inspection phase. At the end of the study, the prosecutor’s guidance typical of the inspection phase will be described. Precisely fixing the specific powers of the Criminal Procedure Act, determined for the prosecutor to carry out the management tasks of the investigation effectively.
Self-injury and Its Criminal Correlates among Hungarian Juvenile Offenders
Authors: Bellavics Mária Zsóka , Baráth Noémi Emőke , Haller József
Published: August 2023

Self-injury is an important problem in incarcerated populations worldwide. This behaviour may be explained by circumstantial factors as incarceration per se may trigger stress responses that result in suicide and other forms of self-harming. On the other hand, certain psychiatric disorders are associated with an increased risk of self-injury and recent findings suggest that psychiatric disorders are highly prevalent in prison and reformatory populations. As a first attempt to study this issue in Hungarian underage criminals, we investigated the prevalence of self-injury and suicidal ideation in reformatory institutions. These were established in 84 incarcerated male juvenile offenders by the MINI KID structured psychiatric inventory. The study lasted 2 years. About one sixth (16.66%) of offenders had a suicidal history. More than half showed self-harming behaviour (N = 47, 55.95%) and 5 subjects reported suicidal ideation at the time of the assessment (5.95%). The suicidal tendency did not reach the level of actual life-threatening condition in any participant. These findings show that self-harming behaviour is rather frequent in the correctional system and requires further research, e.g. studies on the psychiatric antecedents of this behaviour. The findings of such studies may be applicable both in practice and in the education of law enforcement professionals.
Implementasi Baik dan Buruk dalam Filsafat Akhlak Menurut Perspektif Muhammad Taqi Mishbah Yazdi
Authors: Arif Basyir , Arif Dwi Haryanto
Published: August 2023

Penelitian ini membahas tentang teori baik dan buruk pada konsepsi akhlak dari Muhammad Taqi Mishbah Yazdi, salah satu filsuf kontemporer asal Iran. seorang Ulama Syiah Iran serta aktivis politik konservatif yang berperan sebagai pemimpin spiritual dari Front Stabilitas Revolusi Islam di Iran. Beliau Lahir di kota Yazd, Iran, pada 17 Rabi’ul Awal 1353 Hijriah (1934). Di kota Yazd ini pula Muhammad Taqi Mishbah Yazdi memulai serta menamatkan pelajaran dasar dari ilmu-ilmu Islam dengan cara membaca naskah-baskah klasik. Dimana Muhammad Taqi Mishbah Yazdi berdiri pada argumen rasionalnya, ia menganggap bahwa manusia mampu mengetahui apa makna baik dan buruk secara mandiri. Dan argumen-argumen akhlak dari Muhammad Taqi Mishbah Yazdi dibangun dari keadaan epistemologis. Dalam formulasinya, ia juga mendapat referensi dari pemikiran barat (pragmatism dan utilitarianisme). Dan yang paling banyak mempengaruhinya adalah gagasan filsafat transendentalisme dari Mullā Shādrā. Namun Muhammad Taqi Mishbah Yazdi hanya memanfaatkan gagasan-gagasan tersebut dan memberikan pemikiran orisinilnya sendiri.
Las influencias del compromiso en la percepción de los sistemas de gestión de la calidad en la industria de petróleo y gas
Authors: Neves Nathália Gomes da Silva , Salles Denise Medeiros Ribeiro
Published: August 2023

Este artículo tiene como objetivo verificar la influencia del compromiso de las personas en la percepción de los sistemas de gestión organizacional, según el modelo Job-Demands Resources en empresas del segmento de petróleo y gas que optaron por obtener certificaciones de sus sistemas de gestión a través del API (American Petroleum Institute), así como los beneficios de obtener dicho compromiso y las barreras enfrentadas. La investigación tiene un carácter cualitativo, y utilizó la triangulación de técnicas de obtención y análisis de datos para brindar una mirada atenta a los aspectos subjetivos, centrándose en la observación de la participación de los empleados, la adopción de buenas prácticas y los factores críticos de éxito en la implementación del Sistema de Gestión de la Calidad (SGC). Durante la implementación del SGC, se reportaron algunos desafíos con el involucramiento de los empleados, necesidad de apoyo y retroalimentación constante, a través de la comunicación continua y con los empleados, dificultad para concentrarse y priorizar actividades, necesidad de capacitación, más mano de obra y resistencia al cambio. Sin embargo, hubo un fuerte impacto positivo en todas las organizaciones entrevistadas, contribuyendo a la mejora interna, aumento de la satisfacción del cliente, buena reputación, relación eficiente con los proveedores, mayor control de los procesos y productividad. Se espera haber contribuido a la elaboración, por parte de las organizaciones del sector, de nuevos enfoques de gestión de personas que fortalezcan la relación empleado-empresa, así como a través del cuestionario expuesto, un mecanismo de diagnóstico que pueda ser aplicado en el futuro por las organizaciones.