bluuebunny/crossref_metadata_2025 huggingface dataset:
Harctéri 3D- nyomtatók alkalmazási lehetőségei és alapvető technikai követelményei
Authors: Kovács Zoltán Tibor , Ember István , Daruka Norbert , Vég Róbert , Dénes Kálmán
Published: October 2024

Napjaink rohamosan fejlődő technológiái közül a 3D-nyomtatás az egyik legizgalmasabb terület. A széles körű alkalmazhatóság, a tervezési szabadság olyan előnyöket hordoz, amelyeket minden haderő ki szeretne használni. Ezekre a képességekre azonban nem csupán ipari létesítményekben, hanem tábori körülmények között is szükség lehet. Írásunkban megvizsgáljuk az additív gyártástechnológia terepen történő alkalmazhatóságának feltételrendszerét, és megfogalmazzuk azokat a legfontosabb tulajdonságokat és képességeket, amelyek a harctéri üzemelésre alkalmassá tehetik az ehhez szükséges technikai eszközöket.
A tömeges sérülésekkel járó terrorcselekmények az egészségügyi ellátók szemszögéből
Authors: Kiss Péter
Published: October 2024

A tömeges sérülésekkel járó eseményekre fel kell készülniük a kórházban és a kórházon kívül tevékenykedő egészségügyi ellátóknak egyaránt. Amennyiben ez az esemény bűncselekményhez köthető, a civil ellátók mellett megjelennek a rendvédelem speciális egészségügyi szakemberei is. Fontos, hogy a helyszínen és a fogadó intézményben dolgozók egy szakmai irányelv alapján tudják kezelni a kialakult vészhelyzetet. Az elsődleges sebesültosztályozás legalább annyira fontos, mint a helyszíni ellátás és a fogadóhelyek értesítése, biztosítása. Kiemelt cél a tétlenség és a káosz miatti időveszteség nullára redukálása, ami az osztályozás (triage) és a vele járó eljárási és jelentési algoritmusok (CSCATTT, METHANE) pontos ismeretét követeli meg. Ezen ellátási elv mentén haladva a kommunikáció egységesíthető, aminek következtében a helyszíni időveszteség minimálisra csökkenthető. A cél, hogy minden beteg a lehető leghamarabb definitív ellátóhelyre kerüljön.
Hadifogolysorsok Oroszország európai részén 1914–1919 között
Authors: Bolek Zoltán
Published: October 2024

Az első világháborúban olyan nagy tömegek kerültek hadifogságba, mint az előző nagy háborúkban még soha. Tanulmányomban elsősorban az Osztrák–Magyar Monarchia orosz fogságba esett katonáinak sorsát vizsgálom. Ezen belül is főként Oroszország európai részére fókuszálok. A hadifoglyok elhelyezését, a fogolytáborokat próbálom bemutatni, valamint egy orosz hadifogolytáborban (Jelabuga, Kazany körzet) elhunytakról készítettem összehasonlító statisztikát.
SISTEM PENGENALAN MASKER MENGGUNAKAN ALGORITMA YOLO DI MASJID AGUNG AS – SALAM
Authors: Saputra Muhammad Cahaya , Tri Susilo Andri Anto , Intan Bunga , Santoso Budi
Published: October 2024

Kepatuhan dan ketertiban jamaah untuk menggunakan masker saat memasuki Masjid Agung As-Salam menjadi perhatian khusus pada situasi pandemi Covid-19 ini, karena dikhawatirkan Masjid Agung As-Salam akan menjadi cluster penyebaran virus Covid-19 baru yang menular melalui droplet dari penderita virus yang tidak memiliki gejala, penelitian ini menggunakan Algoritma YOLO sebagai Model Pendeteksian yang dibangun dari hasil data latih yang diambil dari berbagai foto kegiatan di Masjid Agung As-salam, Hasil Penelitian yaitu Sistem Pengenalan Masker menggunakan Algoritma YOLO (You Only Look Once) dibangun dengan bahasa pemrograman Python, modul Open CV serta Model YOLO berhasil mendeteksi pemakaian masker dan menampilkannya di monitor secara waktu nyata melalui perangkat kamera tambahan, dapat disimpulkan bahwa sistem pendeteksi masker wajah yang telah dibangun dapat digunakan sebagai alat bantu Petugas untuk memantau penggunaan masker secara akurat.
IMPLEMENTASI ALGORITMA CONVOLUTIONAL NEURAL NETWORK (CNN) UNTUK DETEKSI KESEGARAN TELUR BERBASIS ANDROID
Authors: Akbar R. Rojab Maulana , Rizal Fathur , Shudiq Wali Ja’far
Published: October 2024

Telur memiliki tingkat kandungan dan kualitas yang berbeda dari setiap telurnya. Oleh karena itu, telur dapat diteropong secara manual dengan alat Egg Candler dengan melihat dari sisi pencahayaan dan dapat memprediksi telur yang merupakan cara yang belum dikatakan cukup akurat. Sehingga dengan perkembangan zaman ini, penulis membuat sebuah aplikasi untuk memprediksi kualitas telur dengan akurat dan relatif lebih cepat. Pembuatan aplikasi Egg Detection ini dapat dikembangkan untuk mengklasifikasikan data citra telur menggunakan algoritma Convolutional Neural Network (CNN). Sehingga model dari hasil pelatihan tersebut akan di ekspor dan di integrasikan ke aplikasi android sebagai data yang dapat memprediksi kualitas telur tersebut, dengan menggunakan metode algoritma Convolutions Neural Network (CNN) dapat mengklasifikasikan suatu objek data citra telur dengan menghitung probabilitas  setiap kelas  menghasilkan keluaran numerik biner dengan nilai 0 dan 1. model data dari hasil pelatihan dapat dilihat dari tingkat akurasi yang diperoleh sebesar 95% dan di export ke data tensorflow yang dapat diintegrasikan pada aplikasi berbasis android.
PROTOTIPE ALAT PENGUKUR TINGKAT KEMATANGAN BUAH PEPAYA MENGGUNAKAN SENSOR WARNA TCS3200
Authors: Pratama Anugrah , Armanto Armanto , Satrianansyah Satrianansyah
Published: October 2024

Buah pepaya merupakan salah satu buah yang banyak dikonsumsi oleh banyak masyarakat di Indonesia, karena buah pepaya memiliki kandungan gizi yang baik untuk kesehatan tubuh. Salah satu varietas buah pepaya yang saat ini digemari oleh semua kalangan masyarakat yaitu buah pepaya California. Sekarang ini, mayoritas tingkat kematangan buah pepaya ini biasanya dilakukan secara manual oleh petani dengan memperhatikan warna, bentuk, ukuran dan tekstur dari buah pepaya. Prototipe ini dibangun menggunakan Sensor Warna untuk mendeteksi warna pada kulit buah pepaya dan LCD sebagai tampilan Output. Pengujian karakteristik sensor warna TCS3200 dilakukan dengan mendeteksi 2 tingkat kematangan yang berbeda menggunakan jarak yang sama. Buah pepaya mentah berwarna hijau dan buah matang yang berwara orange. Warna pada buah pepaya dapat kita gunakan untuk mengklarisifikasi dalam kelas mentah dan matang. Buah pepaya mentah memiliki nilai R= 104, G= 149, dan B= 128. Sedangkan nilai RGB buah pepaya matang adalah R= 53, G= 99 dan B= 87.
PENGEMBANGAN 3D MODELLING CRANIOPLASTY UNTUK MEMBANTU DOKTER DALAM PENCETAKAN IMPLANT
Authors: Andryani Dinda Syaqila , Aripin Aripin , Amrullah Muhammad Rifqi Hanif
Published: October 2024

Perkembangan teknologi 3D printing dapat dimanfaatkan untuk mendesain dan mencetak implan pra-operasi dengan keunggulan geometri yang baik. Pada kasus kerusakan tengkorak kepala, dokter ahli bedah mengalami kesulitan dalam melakukan operasi agar tidak terjadinya komplikasi. Sehingga dibutuhkan prosedur bedah cranioplasty untuk mengembalikan bentuk dan fungsi tengkorak yang rusak. Dalam kegiatan ini, dokter ahli bedah memerlukan rekonstruksi tulang kepala sebagai acuan pencetakan implan. Tujuan penelitian ini adalah membantu dokter ahli bedah dalam mendesain implan yang sesuai dengan anatomi kepala sehingga dapat digunakan untuk memperbaiki kerusakan tengkorak kepala. Metode yang digunakan adalah medical reverse engineering yang meliputi tahapan memasukkan data DICOM CT-Scan kepala pasien, melakukan proses segmentasi data DICOM, pengolahan dan perbaikan gambar 3D, merekonstruksi fraktur tulang, slicing, pencetakan 3D printing, silicon molding, fitting mold, dan pencetakan implan menggunakan bone cement. Berdasarkan evaluasi terhadap hasil cetak implan dalam penelitian ini adalah pencetakan implan mendapatkan hasil yang presisi sesuai dengan defek tulang kepala pasien. Dengan demikian, dokter ahli bedah dapat memanfaatkan untuk memperbaiki kerusakan tengkorak kepala.
Lives of Former Persons Deprived of Liberty (PDL) during their Rehabilitation under Therapeutic Community Modality Program (TCMP)
Authors: Luceño Glen
Published: October 2024

Over 65 countries worldwide offer Therapeutic Communities (TCs) for the rehabilitation and treatment of Persons Deprived of Liberty, a testament to the prevalence of drug misuse, addiction, and other criminal activity worldwide (Bunt et al., 2008). This study explored the experiences of former Persons Deprived of Liberty (PDLs) in the Therapeutic Community Modality Program (TCMP) implemented in the Regional Bureau of Jail Management and Penology 6 (RBJMP6), Province of Iloilo through a qualitative research method. The participants of this study were the selected ten (10) former male PDLs who participated in the TCMP from different jail facilities in Iloilo. All participants were subjected to an individual in-depth interview. The findings of this study are described in emergent themes. Seven (7) emergent themes described the positive and negative experiences of the participants during their participation in the TCMP. For the positive experiences, four (4) emergent themes were developed, namely: Fostering Personal Growth and Behavior Change, Continuing Educational Pursuits, Strong Sense of Collectiveness, and Acquiring Practical Skills for Livelihood. For the negative experiences, three (3) emergent themes were also developed: Emotional Struggles During Adjustment, Overcrowding Issues and Limited Facilities, and Restrictions and Limitations of TC Rules. Meanwhile, two (2) emergent themes were formulated to explain how the participants cope with the challenges encountered during their participation in the TCMP, namely, Seeking Guidance and Support from Peers and Personnel and Building Emotional Resilience and Faith. On the other hand, two (2) emergent themes were formulated to explain the impacts of the TCMP on the lives of the participants, namely, Enhanced Relationships and Communication Skills and Instilling Discipline and Patience. Finally, two (2) emergent themes were created to express the aspirations of the participants to improve the implementation of TCMP, to wit: Enhancing Livelihood and Educational Programs and Supporting Religious and Spiritual Activities. Based on the emergent themes identified, it is recommended that the former PDLs be provided with a more comprehensive aftercare program for a more extensive rehabilitation process.
Impact of Energy Prices and Macroeconomic Variables on GDP Prediction UK: Machine Learning Approach
Authors: Perera Piyumi , Fernando Anil
Published: October 2024

Gross Domestic Product (GDP) is one of the critical indicators of an economy. This study aims to predict the GDP of the United Kingdom using vital macroeconomic variables from 1990 to 2018 as predictors, which include energy prices, unemployment rate, Real Effective Exchange Rate (REER) inflation and net migration. Several machine learning models, namely Support Vector Regression (SVR), Random Forest (RF) and Gradient Boosting Machines (GBM), were implemented, analysed and compared. The models were trained on both scaled and unscaled data, with hyperparameter tuning applied to optimise performance. The models’ performances and accuracy were analysed by employing evaluation metrics Root Mean Squared Error (RMSE), Mean Absolute Error (MAE), and Mean Absolute Percentage Error (MAPE). As per the findings, after hyperparameter tuning, the SVR model performed best in GDP prediction, followed by GBM. The results of this study underscore the critical role of macroeconomic variables in GDP prediction while highlighting the potential of machine learning models to produce valuable and reliable insight into economic forecasting.
The Impact of Takaful Insurance on Economic Growth of Selected Islamic Countries During 2008-2021
Authors: Madi Mohamed
Published: October 2024

تتناول هذه الدّراسة مؤسّسات التّأمين التّكافلي وتأثيرها في النّمو الاقتصادي، خلال عدد من الدّول الإسلاميّة، على مدى 14 سنة (2008-2021)باستخدام (نموذج التأثير العشوائي(Randomeffect Model)) نموذج المربعات الصغرى المعممة"GLS"، هذا في مرحلة أولى، وفي مرحلة ثانية تدرس آليّات تطوير فاعليّة هذه المؤسّسات الاقتصاديّة، تحديدًا في ما يتعلّق بالاستثمار، وذلك باقتراح صياغة جديدة للاستثمار في هذه المؤسّسات تعتمد على هيكل استثماري مستقلّ، تستثمر ضمنه شركات التّكافل جزءًا من أموالها بمنأى عن بقيّة المؤسّسات الماليّة. تتمثّل مشكلة البحث في أنّ صناعة التّكافل على الرّغم من مساهمتها في النّموّ الاقتصادي ونموّ أصولها المطّرد في أكثر الدّول التي تبنّتها، غير أنّ هذا النّمو لم يصحبه أي تغيير ينأى بها عن استنساخ آليّات عمل السّوق الماليّة، وهو ما يمثّل عائقًا أمام الهندسة الابتكاريّة، تحديدا الاستثمار المباشر الذي تتجنّبه مؤسّسات التّأمين عمومًا، بل وتمنعه قوانين بعض الدّول. وبإعمال المنهجين الإحصائي والتّحليلي خلصت الدّراسة إلى أنّ التّأمين التّكافلي يحفّز النّموّ الاقتصادي لدول الدراسة، وأنّه من الضّروري إعادة التفكير في النّهج الاستثماري لهذه المؤسّسات لتتماهى مع نشأتها من رحم الشّريعة الإسلامية التي تدعو لملامسة الاقتصاد الحقيقي. الكلمات المفتاحيّة: التّأمين التّكافلي، النّمو الاقتصادي، نموذج التأثير العشوائي، الهيكل الاستثماري المستقل، المملكة العربيّة السّعوديّة، قطر، تونس، الأردن.
APPLICATION OF LASER SCANNING DATA IN SOLVING TERRITORIAL PLANNING PROBLEMS
Authors: Horb O. , Kasianov V. , Nesterenko S. , Nelin Ye.
Published: October 2024

The article aims to thoroughly investigate and analyse the possibilities of using laser scanning data in spatial planning. The main goal is to identify the potential of this technology to improve the efficiency and accuracy of planning processes, particularly in the urban environment.
The LiDAR (Light Detection and Ranging) data integration into territorial planning is fundamental to modern urban management frameworks. Using the precise and comprehensive geospatial data obtained through LiDAR scanning provides a reliable basis for conducting in-depth analysis and strategic decision-making in territorial development initiatives.
LiDAR technology offers unparalleled accuracy and detail, enabling urban planners to effectively map and visualise various aspects of urban environments, including topography, land use patterns, infrastructure, and natural features. With this extensive information, stakeholders can gain valuable insights into existing spatial dynamics, identify potential areas for development or conservation, and assess the impact of proposed projects on the surrounding landscape.
Moreover, integrating LiDAR data facilitates the optimisation of urban resource management processes. City authorities can streamline land use planning, infrastructure development, and environmental management efforts by accurately delineating land plots and infrastructure networks. In turn, it promotes more efficient allocation of resources, minimises operational costs, and enhances overall urban sustainability.
Furthermore, LiDAR technology is crucial in enhancing urban resilience and adaptability. Generating high-resolution elevation models and floodplain maps allows urban planners to identify areas prone to natural hazards such as floods, landslides, or coastal erosion. With this knowledge, city planners can implement proactive measures to mitigate risks, improve disaster preparedness, and safeguard community well-being.
In contemporary urban challenges, such as climate change and rapid urbanisation, LiDAR technology is becoming increasingly indispensable. By embracing LiDAR technology, urban planners can develop more resilient and sustainable cities better equipped to withstand and adapt to evolving environmental, social, and economic pressures.
In essence, the effective utilisation of LiDAR data in territorial planning enhances spatial planning accuracy and fosters innovation, resilience, and sustainability within urban environments. By harnessing the power of LiDAR technology, cities can pave the way toward a more prosperous, equitable, and resilient future for generations to come.
Keywords: data, laser scanning, territorial planning, potential, accuracy, efficiency, analysis, prospects.
OCCUPATIONAL SAFETY WHEN WORKING WITH ABRASIVE MATERIALS
Authors: Abrakitov V. , Ivashchenko M. , Moroz M. , Nikitchenko O.
Published: October 2024

Foundry is one of the most harmful and dangerous operations in the industry. Research shows that the quality of abrasive materials directly impacts occupational safety. Peeling, metal stripping, grinding, sharpening, lapping, and surface treatment generate abrasive industrial dust. This dust consists of particles of various sizes that float in the work area air and settle slowly. Constant inhalation of industrial dust can lead to occupational diseases such as silicosis, pneumoconiosis, and even cancer.
Laboratory tests have shown that fine-grained abrasive grinding wheels remove the same amount of metal at a pressure force of 6 kg as other wheels with a pressure force of 10 kg. In addition, these wheels remove 40% more metal than any of the others with the same pressure force. The dust formed during metal processing with various abrasive materials differs in size due to the ceramic aluminium oxide content (Al2O3).
We can draw the following conclusions from the conducted study:
The quality of the abrasive material has a direct impact on occupational safety.
The use of modern materials in grinding makes it possible to increase the speed of surface treatment by several times (2–3 times), improving labour productivity and reducing the duration of the negative impact of industrial dust on the operator when performing the same amount of work.
Modern abrasive materials can lower the concentration of dust in the workplace, make the dust fraction less harmful, reduce the duration of dust exposure to the worker, and increase the worker’s productivity.
Controlling industrial dust is an urgent occupational health issue, as many workers can be affected by it. Reducing dust levels in the air of the work area can improve working conditions and mitigate the risk of occupational diseases among employees. It can also lead to economic benefits for the company by reducing the cost of medical treatment and workers’ compensation.
The proposed solution helps to decrease dust concentration in the workplace, makes its fraction safer, reduces the employees’ time of exposure to dust, and increases labour productivity.
Keywords: abrasive, safety, foundry workers, dust, silicosis, grinding.
DEVELOPMENT OF AN ALGORITHM OF THE INFORMATION AND TECHNICAL METHOD OF EMERGENCY PREVENTION IN THE TERRITORIES AFFECTED BY ROCKET AND ARTILLERY DAMAGE
Authors: Rashkevych N. , Shevchenko R. , Neshpor O.
Published: October 2024

During the scientific research, the authors identified and described the main procedures of the information and technical method of preventing emergencies in the territories affected by rocket and artillery impacts. These procedures take the form of the corresponding algorithm of the information and technical method of emergency prevention. The authors pay attention to preventing emergencies due to harmful (polluting) substances in the soil above the maximum permissible concentration. The main focus is on the optimisation of soil sampling. Optimisation is a vital element of the reliability and representativeness of the results of soil hazard research. It affects the timely limitation of the spread of the effects of pollution in terms of area and number of victims.
During emergency prevention, monitoring is considered one of the main processes in the civil protection system of the population and territories. Decision-making and determination of the necessary measures to counteract the consequences of hazards depend on high-quality and timely detection and assessment, in this case, of soil contamination in the combat zone.
The main procedures of the algorithm of the information and technical method of preventing emergencies include:
collecting and analysing statistical data;
determining priority of monitoring areas;
determining goals by types of hazards;
setting tasks;
choosing a monitoring scheme;
determining monitoring procedures and their characteristics;
solving monitoring issues;
monitoring;
making management decisions to limit the spread of the consequences of hazards.
An effectively planned monitoring procedure that takes into account the features of the territory of military influence and the use of available resources to ensure adequate coverage of the studied area will allow the collection of a representative set of samples that will accurately reflect the levels of pollution and will allow to prevent the spread of the consequences of hazards from the object level to higher levels (occurrence of emergency at the local or even regional level).
Keywords: algorithm, soil, pollution, monitoring, emergency.
DEVELOPMENT OF STANDARDS FOR ASSESSING THE LEVEL OF PREPAREDNESS OF EXPLOSIVE ORDNANCE DISPOSAL TECHNICIANS FOR PUTTING ON A SET OF ARMOUR AND RADIATION PROTECTION EQUIPMENT
Authors: Stepanchuk S. , Strilets V. , Malovyk I. , Strilets V.
Published: October 2024

An urgent and unsolved part of the problem of humanitarian demining of radiation-affected areas by specially trained specialists is the scientific and methodological apparatus of substantiation of standards for assessing the level of preparedness of explosive ordnance disposal (EOD) technicians for putting on a set of armour and radiation protection equipment. According to the results of an experimental study, the authors established that the change in the time of putting on a set of armour and radiation protection equipment is exponential depending on the level of readiness of EOD technicians preparing for humanitarian demining in a radiation-contaminated area. The experiment participants put on a set of armour and radiation protection equipment consecutively for six days (one attempt each day). It is worth noting that with a significance level of a = 0.05, starting from the third attempt, the time EOD technicians put on armour and radiation protection equipment can be considered constant. Based on the experimental results obtained in the third and fourth attempts, we developed standards for assessing the level of preparedness of EOD technicians of the State Emergency Service of Ukraine for putting on a set of armour and radiation protection gear. For this, we used an adapted statistical method for substantiating the standards, which featured the use of weighted average estimates of the fractions (frequencies) of the performance time that fall within the intervals of the excellent standard, as well as between the ‘excellent’ and ‘good’ and ‘good’ and ‘satisfactory’ standards. We determined that for the case of a combination of an L-1 protective suit, armour protection such as a protective vest of the IV protection level, an armoured helmet of the III-A protection level, and a filter gas mask of the GP-5 type, the time for executing this operation could be estimated starting from the third attempt using the following standards: ‘excellent’ – 155 seconds, ‘good’ – 185 seconds, and ‘satisfactory’ – 220 seconds.
Keywords: standard, armour and radiation protection equipment, demining, radioactive contamination, experiment.
TRENDS OF ARTIFICIAL INTELLIGENCE AND IMMERSIVE DESIGN USE IN THE FORMATION OF ARCHITECTURAL ENVIRONMENT
Authors: Vergunova N. , Blinova M.
Published: October 2024

There is increasing attention to a new design methodology incorporating the latest achievements of a non-hierarchical way of forming based on the learning process of computers or machines, namely the concepts of artificial intelligence (AI) and immersive design, using virtual and other types of reality.
The study aims to reveal the necessity to identify the main trends of artificial intelligence and immersive design use in architectural environment formation. The results can contribute to rethinking architectural design algorithms at the present stage and identifying potential opportunities for improvement.
The paper describes the possibilities of AI and immersive design in architectural environment formation. Analysis of current research in this field has made it possible to identify trends that likely will continue to develop further and impact the architectural profession.
One of these trends is the improvement of the architect’s toolkit, currently provided by additional plug-ins to existing programmes or separate services based on AI algorithms, but in the future, it may be a change in the programme code itself with a completely updated structure. In this case, the role of software from the architect-managed toolkit may shift to another plane, such as a digital assistant that partially or fully manages its responsibilities in working on an architectural project.
The symbiosis of multidirectional but powerful immersive design technologies (VR, AR, MR) and AI algorithms is another trend in architectural environment formation. It can also be characterised as the most experimental and, at the same time, dynamically progressing, given the active development of its components.
Another modern trend is to bring architectural design to a new level of a balanced combination of virtual and real. The immersion of the user in virtual reality for design work and demonstration of the relevant results is gradually changing as the 3D model of an architectural structure is increasingly manifested in the physical world, including at the implementation site, and interactive equipment with flexible and constantly evolving functionality provides architects with more opportunities for creativity.
Keywords: artificial intelligence, immersive design, architectural environment.
USE OF A TWO-STAGE COMBINED SCHEME FOR HEAT EXCHANGERS CONNECTION IN HEATING POINTS FOR HOT WATER SUPPLY OF INSULATED BUILDINGS
Authors: Aleksakhin O. , Boblovskyi O. , Kruhliakova O.
Published: October 2024

The article addresses the features of the functioning of centralised heat supply systems of residential micro-districts considering the improvement of thermal insulation of existing buildings. It also analyses the performance characteristics of hot water supply heaters installed on individual heat points of insulated buildings. The authors compared the heat transfer surface area of heaters and network water flow rate through the heating point for one-stage and two-stage combined schemes of connection of heat exchangers and heat networks.
The analysis of calculation results showed that using a two-stage combined connection scheme reduces the consumption of network water through the individual heat supply unit compared to the one-stage scheme. However, the two-stage scheme causes the necessity to increase the heat transfer surface area compared to the one-stage connection scheme. We generalised the results by formulas for calculating water flow rate from distribution heat networks and heat transfer surface area. It is possible to use the obtained results to develop a strategy for reforming micro-district centralised heating systems.
Using a two-stage combined connection scheme for hot water supply heat exchangers installed on individual heating points (IHP) of additionally insulated buildings reduces network water consumption through the individual heating point by 8–16% compared to a one-stage connection scheme. The device of a two-stage combined scheme in comparison with a one-stage scheme causes the increase of heat transfer surface area of heat exchangers of the hot water supply of individual heating points from one and a half to two times depending on the accepted design temperature of heating of cold water at the first stage of the heating unit. The results of calculations are approximated by equations, allowing, with acceptable accuracy, to compare the indicators of two-stage combined and one-stage schemes of connection of water heaters for individual heating points of insulated buildings.
Keywords: centralised heat supply, individual heating point, water heaters, hot water supply.
Review on Development of Digital Twins for Predicting, Mitigating Faults and Defects in Solar Plants
Authors: Palanisamy Chockalingam , Gangadharan Tharumar
Published: October 2024

Abstract – The thought of digital twins has gained substantial attention in recent years due to its potential to transform various industries, including renewable energy. Digital twins involve the creation of virtual models that mirror the behaviour and characteristics of real-world physical systems. In the perspective of solar plants, digital twins have emerged as a promising tool to enhance performance monitoring, predictive maintenance, and overall operational efficiency. Digital twin engineering, characterized by its dynamic data modelling of industrial assets, offers a disruptive technology capable of adapting to real-time changes in the environment and operations. This living model can predict future infrastructure behaviour and proactively identify potential issues within the physical system. The article highlights the essential components of the digital twin ecosystem, such as sensor technologies, the Industrial Internet of Things, simulation, modelling, and machine learning, underscoring their relevance in predictive maintenance applications. This review provides an in-extensive review of the development and application of digital twins for predicting and mitigating faults and defects in solar power plants. It opens with a look at current developments, underlining the rising focus on digital twins for optimizing solar farms. It begins with an overview of existing solutions in the field, highlighting the growing interest in leveraging digital twin technology to enhance solar plant operations. Additionally, the article outlines the implementation stage of a prototype digital twin for a solar power plant.
A Review on Mechanical Fuzzy Logic Control Cutters for Latex Glove
Authors: Pang Qi Xuen , Low Kai Jie , Lew Kai Liang , Choo Yit Hong , Babale Suleiman Aliyu , Yunus Andi Prademon , Lee Chia Shhyan
Published: October 2024

Latex gloves are widely used in various industries, such as healthcare, laboratories, and manufacturing. Especially in the healthcare industry, it provides protection for doctors and nurses so that they will not get infected by viruses. The latex gloves contain some types of proteins that will trigger the allergic reactions of people with latex allergies. Therefore, before the latex gloves are sold on the market, protein concentration tests need to be done. In order to do the protein concentration tests, 2 cm by 2 cm samples of the latex gloves are needed. A cutter machine is needed in order to increase efficiency, save time, and also precisely cut. The samples can be obtained by cutting or stamping the latex gloves. In this paper, research in the literature that attempted to identify the mechanical cutters for latex gloves is reviewed. Furthermore, considering the ambiguity and variability in glove materials and cutting requirements, this paper explores the integration of fuzzy logic into cutter selection processes to accommodate uncertain criteria and optimize cutter performance in diverse operating conditions.
Review and Analysis of Mechanical Cutting Tools for Rubber Stamping
Authors: Rmathavan Nair Maanoj Nair , Low Kai Jie , Lew Kai Liang , Bukhori Iksan , Babale Suleiman Aliyu , Chia Lee Shyan
Published: October 2024

Rubber industry is one of the major industries in Malaysia. Rubber stamping machine is a machine that cuts rubber sheets into desired shapes and dimensions, facing challenges due to the elastic properties of rubber sheets. These challenges include long process time and non-identical dimension. This review paper focuses on the design of the rubber-stamping machine to address the challenges by reducing process time and producing identical dimensions products. The rubber-stamping machine was fabricated, and analysis was performed to verify its efficiency. The core of the designs is to ensure the user safety, friendliness, and increase productivity and product consistency. Based on the findings from existing studies, the review highlights significant improvements in machine design and operational efficiency. The paper also discusses the impact of these innovations on the competitiveness of rubber stamping operations and provides insights into future directions for research in mechanical design and automation systems. This review can be a crucial resource for developers and manufacturers looking to enhance the efficiency and product quality of rubber-stamping machines, contributing to the advancement of manufacturing practices in the rubber industry.
Exploring Recommender Systems in the Healthcare: A Review on Methods, Applications and Evaluations
Authors: Haw Su-Cheng , Jayaram Jayapradha , Anaam Elham Abdulwahab , Santoso Heru Agus
Published: October 2024

Due to the vast amount of publicly available online data, people may find it difficult to obtain relevant information to find food or meals that match their taste and health while maintaining a healthy lifestyle. The overload of information makes it difficult to separate relevant, personalized information from massive volumes of data. Recommendation systems (RS) are suggestion system that provides users with information that they may be interested in. With RS, this enormous amount of information is filtered and analyzed for further insights. This paper will explore several generations of recommender systems in the healthcare industry. This paper offers a thorough analysis of the current state-of-the-art recommender systems focusing on the grouping, methods, application and evaluation metrics. In addition, several challenges for further research and improvement in this domain are also outlined in the paper.
Automatic Filling Machine for Metracide 1 Liter Product Variant at Global Medipro Investama LLC
Authors: Arrasyid Muhammad Raihan , Bukhori Iksan
Published: October 2024

Abstract – Global Medipro Investama LLC previously used a CNC liquid filling machine to fill the Metracide 1 liter variant product into bottles. This machine very often produces output that was not accordance with the company's specifications. Based on data from 3 production batches, the average yield rate score obtained was 51.96%. The low-yield rate score indicates that the production process is ineffective and inefficient because of the unstable filling process. This research aims to design and manufacture an automatic filling machine with four nozzles and use PLC as its controller so that the production process becomes more ef-fective and efficient by increasing the rated yield and quantity of output and speeding up the cycle time by eliminating the manual weighing process using loadcell and weighing indicator. Based on data from 3 batches of production using the new machine, the average yield rate score obtained was 98.51%, which increased by 46.3%, significantly more than the old machine of 51.96%. The machine also managed to speed up the production cycle time at the filling station. To produce 495 bottles only takes 33 minutes, making the production process 75.49% faster than the old machine of 134 minutes. The increase in output yield and quantity, and the reduction in cycle time show that the production process has become more efficient and effective.
Performance Evaluation of Machine Learning Techniques on Resolution Time Prediction in Helpdesk Support System
Authors: Tai Tong-Ern , Haw Su-Cheng , Kong Wan-Er , Ng Kok-Why
Published: October 2024

Estimating incident resolution times accurately is critical to maintaining an effective resource allocation for customer service. In order to meet this need, this paper explores machine learning techniques widely applied in the Resolution Time Prediction and identify the performance of chosen approaches via benchmarking dataset. The proposed method starts with data preprocessing, such as removing outliers and missing values and determining any irregularities in the resolution times distribution. Subsequently, we automatically choose the most relevant features using various statistical techniques. As the last stage of our prediction pipeline, we will apply different machine learning approaches the dataset to find the effectiveness of model and conclude the best technique based on the model accuracy and model fitting time. By applying this strategy, we hope to gain a better understanding of the factors affecting incident resolution times, which will eventually result in better resource allocation and planning for customer support operations.
An Examination of the Latencies Found in a Wi-SUN FAN Network
Authors:   Exegin Technologies Limited Port Coquitlam, B.C. Canada, Mulder Leslie J. , Tedeschi Dario ,   Exegin Technologies Limited Port Coquitlam, B.C. Canada
Published: October 2024

This paper reports on the results of multicast latency and round trip time measurements for a particular deployment of nodes forming a Wi-SUN FAN 1.0 network [1]. The authors have explored in detail the behaviour of the WiSUN FAN network used by Hee-Jun Lee and Sang-Hwa Chung, the authors of a prior paper, in order to provide more detail regarding the latencies and delays cited in that paper [2]. We provide details regarding: • the timing of the component requests and responses that comprise the Lee and Chung round-trip and latency measurements, and • additional timing and packet delivery ratio results for variations of the MPL retransmission parameters for the Wi-SUN FAN protocol used on the Lee and Chung test network [3].
Functional and Sensory Properties of Infant Complementary Foods Formulated From Millets, Orange-Flesh Sweet Potatoes, Carrots, Periwinkle and Oyster
Authors:   Department of Nutrition and Dietetics, University of Nigeria Nsukka, Enugu State, Nigeria, Mercy Nnam Ngozi , Achese Orisa Catherine ,   Department of Home Science and Management, Rivers State University, Nkpolu Oroworukwo, Port Harcourt Rivers State, Nigeria, Okorie Ijioma ,   Michael Okpara University of Agriculture Umudike Abia State, Nigeria
Published: October 2024

The study evaluated the functional and sensory properties of infant complementary foods formulated from millets, orange-flesh sweet potatoes, carrots, periwinkle and oyster. Experimental/cross-sectional design was used. Millet, orange-flesh sweet potato (OFSP), carrots, periwinkle and oyster were purchased, processed into flour using standard methods. The complementary food was formulated on protein basis for infants 6–12 months. The formulated foods were millet/OFSP flours (70:30), millet/ OFSP/carrot/periwinkle (49:29:7:15), and millet/OFSP/carrot/oyster (65:20:5:10). Functional properties were carried out using standard methods. Sixty nursing mothers attending Orogbum Health Centre were systematically sampled for the sensory evaluation. ANOVA was used for the study. The result showed packed density (0.77 g/mL) was significantly higher (p < 0.05) in food formulated from millets/OFSP than in millet/OFSP/carrot/oyster (0.68 g/mL). Loosed density was lowest (0.40 g/mL) in millet/OFSP/carrot/oyster. Carr index from ranged from 42.23 in millet/OFSP/carrot/oyster to 44.41 in millet/OFSP. Wettability was highest (45.03) in millet/OFSP/carrot/periwinkle compared to wettability value (26.53) for millet/OFSP. Solubility ranged from 18.36 to 46.62, with the highest (46.62) in millet/OFSP/carrot/periwinkle. The peak viscosity of the infant complementary food samples ranged from 64.53 rapid visco analyzer units (RVU) to 89.33 RVU. The infant complementary food formulated from millet/OFSP had significantly higher (p < 0.05) acceptability score (6.35).
The Comparison Study of Daily Newspaper Language Composition: The Study of Mongolia And Inner Mongolia
Authors:   Ph.D, at Mongolian State University of Education, Mongolia., Myagmarsuren Odmandakh , . Shuguang ,   Ph.D student at Mongolian State University of Education, Mongolia
Published: October 2024

Our research compares the language used in daily newspapers from Inner Mongolia and Mongolia, looking for patterns and distinctions in the content. To comprehend language use at different levels, we concentrated on articles, headlines, and other textual elements. Daily newspapers, which reflect societal trends and current events, provide insights into language usage in everyday situations. Through a comparative analysis of these newspapers, we hope to identify linguistic differences shaped by social, political, and cultural contexts, advancing our knowledge of language dynamics within the Mongolian-speaking community. We analyzed content from Mongolian daily newspapers, focusing on articles, headlines, and other textual elements to understand language use at various levels. Daily newspapers offer insights into real-life language usage, reflecting current events and social trends. By comparing these newspapers, we aim to uncover linguistic variations influenced by political, social, and cultural contexts, contributing to our understanding of language dynamics in the Mongolian-speaking world.
Factors Affecting Marketing Communications in Wartime
Authors:   National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine, Lutsii Ivan , Lutsii Oleksandr ,   National University of Life and Environmental Sciences of Ukraine, Kyiv, Ukraine
Published: October 2024

The company's choice of specific marketing tools and their combination depends on the goals set, the target audience's characteristics, the type of product being promoted, and the size of the budget. However, in crisis conditions caused by war, pandemic or natural disaster, the effectiveness of marketing communications is influenced by many more factors. The detailed analysis of such factors allows the company to adapt its marketing strategy to the realities of today. The article aims to reveal and systematize the factors affecting marketing communications in wartime conditions. It was found that the war changed companies' advertising policy, branding, and consumers' perceptions of goods and services. Therefore, to stay afloat, companies must study changes in the social climate on time and adapt their marketing strategies accordingly. Changing the nature and forms of communication with consumers plays a vital role in adapting marketing strategies. A consumer's attitude to specific brands and goods, based on the personal perception of the parties to the military conflict, is a sensitive factor in war conditions. Despite the general negative trend for business, the war opens up new opportunities for specific industries. In particular, using military themes in advertising can motivate the consumer to buy the company's products. However, one should be careful when using military symbols in advertising because the emotional perception of consumers can be different. Therefore, it is important to evaluate the negative consequences of war and understand how new opportunities can be used. The article systematizes the factors affecting marketing communications in wartime conditions and defines the measures that are an important component of business response to changes in market demand. The study results show that regardless of how effective the company's marketing strategy is in normal conditions, during the war, it needs to adapt to changes in the mood and habits of consumers and environmental factors.
Do Soccer Players Contribute to Preserving Football Clubs' Financial Performance Sustainability?
Authors:   Universitas Tanjungpura, Pontianak, Indonesia, Landang Zeal Latu , Hamzani Umiaty ,   Universitas Tanjungpura, Pontianak, Indonesia, Yunita Kristina ,   Universitas Tanjungpura, Pontianak, Indonesia
Published: October 2024

Today, football has transformed from a hobby into a sport capable of generating high economic value. Football players are recognized formally and informally as intangible assets in the football business. The previous studies confirm that owning high-quality and well-known players can significantly increase club revenue. The Financial Sustainability Regulation mandates clubs to maintain financial stability, ensuring a balance between income and expenses and encouraging clubs to produce top players from their academies. This study evaluates the financial performance of professional football clubs and examines players' contributions to their sustainability, specifically focusing on Manchester United, Manchester City, Arsenal, Liverpool, and Tottenham Hotspur. Authors analyze various financial metrics, such as ticket sales, sponsorships, and broadcasting rights, to assess the clubs' financial health through a qualitative descriptive lens. The research uses secondary data, namely the annual financial statements of the clubs during the 2019-2023 period. The financial reports were obtained from the official websites of the respective clubs. The findings indicate that sound financial management is essential for ensuring stability and maintaining a competitive advantage. Additionally, the research emphasizes the importance of players in fostering club sustainability through their performance on the field and their commercial appeal. High-profile players who perform consistently enhance merchandise sales, attract sponsorships, and grow the fan base, positively impacting the clubs' financial sustainability. The study contributes to the academic field by providing guidelines for the accounting treatment of football players and financial management practices in the football industry.
State Support for Geodetic Business – An Important Prerequisite for Post-War Reconstruction of Ukraine
Authors:   Uman National University of Horticulture, Uman, Ukraine, Borovyk Petro , Kyselov Yurii ,   Uman National University of Horticulture, Uman, Ukraine, Rudyi Roman ,   Uman National University of Horticulture, Uman, Ukraine, Shemiakin Mykhailo ,   Uman National University of Horticulture, Uman, Ukraine
Published: October 2024

The need for post-war reconstruction of the Ukrainian economy, housing stock and infrastructure facilities will lead to the activation of the construction industry and, therefore, the demand for geodetic services. On the other hand, the long lull in geodesy, caused by the lack of demand for geodetic works in wartime, generates the need for state support of the Ukrainian geodetic business. The article's purpose is to justify the prospects of the practical application of the toolkit of state support for geodetic business in Ukraine to activate the processes of reconstruction of the economy, housing stock and infrastructure facilities. The study results show that tax policy instruments are the most effective means of state support for the geodetic business. In particular, for large geodetic and land surveying enterprises, exemption from paying corporate income tax is relevant, at least for a few years during the post-war reconstruction period. Investment and innovation benefits and income tax preferences will play a crucial stimulating role in the purchase by geodetic business entities of modern geodetic instruments, tools for conducting geospatial measurements and software. Small business entities can be supported by exemption from paying a single tax during the first 5-8 post-war years, cancelling the legislation regarding their mandatory use of settlement transaction registrars, and exemption from military duty assessment and payment. The practical measures of indirect tax support of geodetic business should be: cancellation of the current order of widespread use of tax invoices, as well as the use of geodetic work performance acts instead of the specified tax accounting registers; the introduction of a preferential tax credit not only about the value-added tax on the purchase of investment and innovation tools or programs but also in terms of own effective developments; implementation of a special regime for the accumulation of value-added tax from the sale of geodetic works (services) in the first post-war years.
Epigenetic age acceleration in hematopoietic stem cell transplantation
Authors: Ursi Margherita , Kwiatkowska Katarzyna Malgorzata , Pirazzini Chiara , Storci Gianluca , Messelodi Daria , Bertuccio Salvatore Nicola , De Matteis Serena , Iannotta Francesco , Tomassini Enrica , Roberto Marcello , Naddeo Maria , Laprovitera Noemi , Salamon Irene , Sinigaglia Barbara , Dan Elisa , De Felice Francesco , Barbato Francesco , Maffini Enrico , Falcioni Sadia , Arpinati Mario , Ferracin Manuela , Bonafè Massimiliano , Garagnani Paolo , Bonifazi Francesca
Published: October 2024

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