bluuebunny/crossref_metadata_2025 huggingface dataset:
Nonoperative management for disseminated spinal blastomycosis with extensive lytic destruction in a 35-year-old male: illustrative case
Authors: Giles Tyler X. , Harris Luke , Bowen Evan C. , Ziemke Michael , Marks Jared J.
Published: December 2024

BACKGROUND

The authors describe the case of a 35-year-old male who presented with back pain and painful masses on his upper extremities. He had a known sacral lesion identified 1 year prior at an outside facility, suspected to be coccidioidomycosis on biopsy, but the workup was not completed because the patient left against medical advice and was lost to follow-up. Computed tomography (CT) and magnetic resonance imaging revealed lytic destructive lesions involving the calvaria, thoracolumbar spine, and sacrum, concerning for an active and disseminated infection. Sacrum and right-hand biopsies and culture results from both revealed the growth of Blastomyces dermatitidis. With the exception of limitations due to pain, the patient was neurologically afocal and ambulatory. His pain descriptions were biological in nature rather than mechanical. He was not placed on spinal precautions, and surgery was deferred; he was treated medically with inpatient intravenous antifungals and long-term oral therapy after discharge.

OBSERVATIONS

The patient’s back pain was resolved at follow-up, and despite extensive lytic destruction demonstrated on CT imaging at initial assessment, he was found to have good bony remodeling at his affected levels, with no neurological deficits.

LESSONS

This case illustrates the value of physical examination and symptomatology in surgical decision-making for disseminated fungal infections of the spine, even when imaging studies compellingly suggest instability.

https://thejns.org/doi/10.3171/CASE24204
Comparison of NPP Siting Sites by Expert Evaluation of Parametric Criteria
Authors:   Institute for Safety Problems of Nuclear Power Plants, NAS of Ukraine, Skiter I. S. , Derenhovskyi V. V. , Rudko V. M.
Published: December 2024

The article presents a method for comparing NPP siting sites using methods of expert evaluation of parametric criteria. For a generalised assessment of sites, the following factors with corresponding criteria are proposed: economic factor: criteria — “Energy transmission networks”, “Operating costs», “Impacts on the economy»; social factor: criteria — “Transport network”, “Legal aspects”, “Impact of tourism”, “Land ownership rights”, “Historical sites”, “Public recognition”: safety factor: criteria — “Geology and seismology”, “Population density”, “Impacts on the location area”, “Cooling water”, “Meteorology”, “Hydrology”, “Topography”, “Land use”, “Proximity to wetlands”, “Evacuation routes”, “Proximity to hazardous facilities”. In this case, the expert assessment is carried out by each expert using the method of pairwise comparison of preferences, the criteria of alternatives are considered by experts comprehensively and taken into account in the pairwise comparison. This method allows for the assessment and comparison of new nuclear objects siting sites in a short time without significant financial costs. The example of the AP1000 new reactor construction project shows the process of comparing sites out of three proposed ones. The article presents an approach to comparing NPP siting sites using methods of expert evaluation of parametric criteria. At the initial stage of comparison, the proposed method is used for a generalised analysis of alternatives, without a detailed consideration and comparison of all criteria by relevant groups of factors — technical, technological, socio-economic, etc. At the same time, each expert makes an expert assessment by the method of pairwise comparison of preferences, the criteria of alternatives are considered by experts comprehensively and taken into account in the pairwise comparison. This method allows conducting a preliminary generalised comparative expert analysis and formulating recommendations for the assessment of new reactor siting sites in a short time without significant financial costs, based on numerical characteristics. Using the example of the AP1000 new reactor construction project, the paper demonstrates the comparison process based on numerical assessments of three proposed sites. The analysis shows that alternative A1, the Khmelnytskyi NPP site, is the best option.
Artificial Intelligence Pedagogical Content Knowledge
Authors: Balta Nuri
Published: December 2024

The Artificial Intelligence Pedagogical Content Knowledge (AIPACK) framework provides educators with strategies to apply AI tools effectively in education. It emphasizes flexibility in adapting to advancements in AI technologies, ensuring context-sensitive applications that align with specific pedagogical goals. By integrating AI capabilities with pedagogical and content expertise, AIPACK aims to improve teaching practices and prepare students for an AI-driven world.
Çalgı eğitiminde karşılaşılan fizyolojik rahatsızlıklar
Authors: Tosun Tuncay , Özkeleş Sercan
Published: December 2024

Güzel sanatlar liselerinde çalgı eğitimi alan öğrenciler, yoğun ve tekrarlayan fiziksel aktiviteler gerektiren çalışma süreçleri nedeniyle çeşitli fizyolojik rahatsızlıklar yaşayabilmektedir. Bu durum, hem öğrencilerin sağlıklarını olumsuz etkileyebilmekte hem de eğitim süreçlerini ve çalgı performanslarını sürdürülebilir kılmalarını zorlaştırmaktadır. Çalgı tekniklerinin uygulanış biçimleri ve uzun süren çalışma saatleri, bu rahatsızlıkların ortaya çıkmasında önemli etkenler arasında yer aldığını düşündürmektedir. Bu çalışmada, güzel sanatlar liselerinde çalgı eğitimi alan öğrencilerde görülen fizyolojik rahatsızlıklar, öğrencilerin eğitim aldığı çalgılar temel alınarak incelenmiş ve oluşan fizyolojik rahatsızlıkların nedenlerine ilişkin tespitler yapılmıştır. Araştırmanın çalışma grubunu Ordu Penpe İzzet Şahin Güzel Sanatlar Lisesi Müzik Bölümünde öğrenim gören 11. sınıfta 15 ve 12. sınıfta 27 olmak üzere 42 öğrenci oluşturmaktadır. Çalışma grubundaki her bir öğrencinin T.C. Sağlık Bakanlığı Ordu Devlet Hastanesinde uzman doktorlar tarafından şikâyetleri dinlenmiş ve her bir öğrencinin hikâyesi not edilmiştir. Öğrencilerin fizik muayenelerine ilişkin sinir sıkışmasının tespit edilmesine yönelik veriler Tinel testi, De Quervain tenosinovitinin tespit edilmesine yönelik veriler Finkelstein testi aracılığıyla toplanmıştır. Muayenede elde edilen bulgulara istinaden patoloji saptanan öğrencilere EMG, USG, Lomber MRG, TME, MRG, Servikal Grafiği, Lumbosakral Grafi, Omuz MRG gibi tetkikler yapılmıştır. Öğrencilerin fizyolojik rahatsızlıklarına ilişkin şikâyetleri ve hikâyeleri, Ortopedi, Beyin Cerrahi, Plastik Cerrahi ve Fizik Tedavi uzmanı tarafından dinlendikten sonra ilk aşamada fiziki muayeneleri yapılmıştır. Fizik muayenesi ile patoloji düşünülen öğrencilerden hastalığın teşhisine yönelik tetkikler istenmiş, toplanan veriler doktorlar tarafından değerlendirilmiş ve bu değerlendirme kapsamında öğrencilerin fizyolojik rahatsızlıklarına yönelik teşhisler konulmuştur. Tendinit, tenosinovit, de quervain tenosinoviti ve tetik parmak gibi teşhisler konulurken öncelikle fizik muayene bulguları ön planda tutulmuştur. Şüphe duyulan her öğrenciden ultrason ile görüntüleme istenmiştir. De Quervain tenosinoviti tanısında Finkelstein testi, tetik parmak teşhisinde tendonda kalınlaşma, nodul palpe edilmesi ve tendon hareketleri sırasında takılma olması teşhislerinin saptanmasında sözü geçen tetkikler, doktorlar tarafından yeterli görülmüştür. Karpal tünel sendromu teşhisinde Tinel testi yapılıp sinirin sıkışma derecesinin belirlenebilmesi için EMG yapılmıştır. Kronik kas spazmı teşhisinde de fizik muayene bulguları ön planda tutulmuştur. Çalışma grubunda yer alan 42 öğrencinin 38’inde (%90,48’inde) çeşitli fizyolojik rahatsızlıkların olduğu saptanmıştır. Gerek öğrencilerin şikayetleri gerekse doktorların katılımcılara ilişkin hikâyeleri genel olarak değerlendirildiğinde öğrencilerin uyguladıkları çalgı teknikleri ile uzun süren çalışma saatleri, fizyolojik rahatsızlıkların ortaya çıkmasında etkili olduğunu göstermektedir.
Diagnostics of squeals passing through the obninsk’s high-altitude instrumental tower in2014–2023
Authors: Vazaeva N. V. , Kulizhnikova L. K. , Matskevich M. K.
Published: December 2024

Due to their local, sudden nature, which complicates the forecast, squalls often cause significant material damage and are classified as extreme weather events. Squall diagnostics and increasing the accuracy of modeling to improve their operational forecasting is of high relevance. Determining the main characteristics of squalls by diagnosing particular cases and analyzing such cases is of great interest in order to establish the causes of extreme events, which are still insufficiently studied. The source of obtaining primary information on the characteristics of squalls is the processing of a large array of observational data from a high-altitude meteorological mast (HMM) of the Institute of Experimental Meteorology of the Federal State Budgetary Institution NPO Typhoon, presented in this article for 2014–2023. Such experimental data on a number of long-term observations on the VMM made it possible, after processing and analyzing the velocity fields, to fix intense squalls passing through the polygon. The main characteristics of these special cases of squalls were obtained and analyzed, some of which were simultaneously simulated using the non-hydrostatic mesoscale atmospheric model WRF-ARW, adapted for the observation area, and verification was also carried out with data from field experiments. A good agreement between the model results and observational data for the particular case of squalls is shown.
Method for estimating the highest specific methane flux from the surface of reservoirs
Authors: Grechushnikova M. G. , Repina I. A. , Kazantsev V. S. , Lomov V. A.
Published: December 2024

The paper summarizes the results of the database of changes in the specific methane flux at various types of water reservoirs in Russia, in which the authors participated. Measurements were carried out by the method of “floating chambers” in different periods of the annual hydro-ecological cycle. Comparison of the obtained data with the results of foreign experience is given. An approach to parameterization of specific methane flux for calculating the maximum possible methane emission from artificial reservoirs when developing quantitative quotas of greenhouse gas emissions is proposed. The estimation both in different phases of regime (stratification, homothermia) and for separate morphological parts of reservoirs differing in depth is offered.
Methane emissions and hydrological structure of zeya reservoir (russia) in warm period
Authors: Terskii P. N. , Gorin S. L. , Repina I. A. , Agafonova S. A. , Zimin M. V. , Shesterkin V. P. , Shchekotikhin F. A.
Published: December 2024

Estimates of methane emissions in the warm season from the Zeya reservoir, one of the biggest hydropower facilities that affects Russia’s carbon balance, were obtained for the first time based on the field measurements of methane concentrations in water and methane fluxes from the water surface. During expeditionary investigations conducted in September 2021 and July 2022, field data were collected. It was feasible to create the aquatory zoning and learn more about the water body’s thermal, oxygen, and chemical structure based on hydrological and chemical investigations. In conjunction with zoning, a digital elevation model of the Zeya reservoir’s bed was created, allowing calculating the reservoir’s total methane emission. It has been determined that marshy tributaries and shallow aquatories, where organic matter flows from the banks, are the primary sources of organic matter and methane. During the summer, when shallow waters are heated, there is a significantly larger overall methane flux from the reservoir’s surface. Methane emission coefficients from the Zeya Reservoir (8.6–17.2 kg CH4/ha) are consistent with those from surface-based boreal reservoirs that are provided in the supplements to the 2019 IPCC Guidelines.
Density effects of different genesis in lowland reservoirs
Authors: Lepikhin A. P. , Lyubimova T. P. , Bogomolov A. V. , Lyakhin Yu. S. , Parshakova Ya. N.
Published: December 2024

Features of formation of vertical stratification of water masses in reservoirs caused by heterogeneity of distribution of water mineralization are considered. These effects with different genesis are considered on the example of three specific significantly different water bodies. As a first example, the Kama reservoir in the confluence of the Sylva and Chusovaya rivers is considered, characterized in winter by a significantly different hydrochemical regime. In the zone of their confluence in winter, vertical stratification of water masses is formed, which is used to significantly reduce the rigidity of water masses. It has been shown that the intra-day unevenness of the operation of the Kama hydroelectric power station significantly affects the fluctuations in the boundary of water masses. At the same time, the position of the water mass interface itself is very stable relative to the seasonal operation of the reservoir. As a second example, a small reservoir located in the zone of active technogenesis is considered, characterized by filtration discharges of highly mineralized groundwater. If the observed stratification of water masses in these examples is quite stable during the whole season, then in the third considered example – the Kama reservoir in the area of Berezniki, located in the zone of support pinching out, it is very short-lived, it can only be observed for several days. Despite its relative short duration, it is very significant for ensuring a sustainable water supply. Factors determining duration of observation of vertical heterogeneity of water masses of water bodies are considered.
Piezoelectric hysteresis and relaxation processes in ferroelectric ceramics in weak electric fields
Authors: Shvetsov I. A. , Shvetsova N. A. , Petrova E. I. , Reznichenko A. N. , Makarev D. I. , Rybyanets A. N.
Published: December 2024

The processes of piezoelectric relaxation and hysteresis in ferroelectric piezoelectric ceramics based on the lead zirconate-titanate system are studied in the region of weak electric fields. An analysis of the field and time dependences of the complex piezoelectric modulus |d31| obtained by processing sequentially measured piezoresonance spectra of the radial vibration mode of thin piezoceramic disks using the piezoresonance spectrum analysis method and program (PRAP) was carried out. A physical interpretation of the results obtained is proposed.
Activation analysis of the temperature dependence of the dielectric constant of ferroelectrics
Authors: Kuzenko D. V.
Published: December 2024

For ferroelectrics lead zirconate titanate and barium titanate, an exponential dependence of the dielectric constant on temperature is shown, provided that the Curie–Weiss law is satisfied. The temperature of equality of ferroelectric dielectric constants for activation processes caused by the interaction of domain walls with point defects, as well as the corresponding activation energies, have been determined.
Abrupt processes of remagnetization reversal processes in single crystals of GdCo4Cu alloy
Authors: Kuznetsova Yu. V. , Degteva O. B. , Karpenkov A. Y. , Semenova Е. М. , Belyavsky M. A. , Mitina E. B.
Published: December 2024

The results of the study of the features of the magnetization and remagnetization processes in single-crystal samples of the GdCo4Cu alloy are presented. Depending on the magnetic background, the coexistence of two hysteresis mechanisms is observed. Along with a significant magnetic viscosity, abrupt remagnetization is observed. The relationship of hysteresis processes with the structural state of samples is discussed.
DAMPAK CITRA MEREK, HARGA, KUALITAS PRODUK DAN KEPERCAYAAN KONSUMEN TERHADAP KEPUTUSAN PEMBELIAN GADGET CHINA PADA GENERASI MILENIAL
Authors: Zonglin Ding , Siregar Muhammad Akbar , Effendi Ihsan
Published: December 2024

Model konseptual ini dirancang untuk mengevaluasi hubungan antara variabel-variabel seperti citra merek, harga, dan kualitas produk terhadap keputusan pembelian gadget asal China, dengan kepercayaan konsumen sebagai variabel mediasi. Penelitian ini dilakukan pada generasi milenial, mengingat pengaruh signifikan generasi ini dalam konsumsi gadget. Data primer dikumpulkan melalui angket yang dibagikan kepada 200 responden milenial yang sudah membeli atau berencana membeli gadget. Model ini dianalisis menggunakan metode Structural Equation Modeling dengan bantuan software LISREL. Hasil penelitian menunjukkan bahwa citra merek dan kualitas produk berpengaruh signifikan terhadap kepercayaan konsumen, sementara harga tidak memberikan pengaruh. Selain itu, kepercayaan konsumen memiliki dampak signifikan terhadap keputusan pembelian, menunjukkan pentingnya peran kepercayaan dalam proses pengambilan keputusan pembelian gadget
Usage of Safety Helmet Warning System Using Deep Learning Method
Authors: Ambarwati Nur Masyita Ayu , Aryani Dharma , Asriyadi
Published: December 2024

K3 Helmet Usage Warning System Using Deep Method Learning Algorithm YOLOv8 is a technological innovation that combines the advanced object detection method YOLOv8 (You Only Look Once version 8) with the needs of safety in the work environment, especially the use of K3 (Occupational Health and Safety) helmets. This research aims to improve compliance with the use of K3 helmets through an automation approach using Deep Learning technology.The YOLOv8 algorithm is used to detect whether individuals in the work area are wearing K3 helmets or not.
The detection results will be processed by the system to provide automatic warnings if individuals do not wearing an OHS helmet according to safety regulations. The use of Deep Learning technology in this method enables fast and accurate detection, contributing to increased awareness and compliance with workplace safety policies.With proper implementation, the system is expected to help create a safer work environment and improve the safety of workers, making the workplace more compliant with established OHS standards.
Development of an Agricultural Department Application to Predict Small Chili Prices
Authors: Maemunah  , Utomo Muhammad Nur Yasir , Nur Rini
Published: December 2024

Small chili farmers in Soppeng Regency face challenges in planning production and marketing due to fluctuating prices. To assist various stakeholders, an accurate price prediction system is needed. This research proposes a system solution to predict small chili prices using the Gradient Boosting Algorithm. The Gradient Boosting Algorithm is employed to predict prices based on historical data using tools such as Visual Studio Code, Microsoft Excel, Python, PHP, CSS, and SQL. The dataset used consists of chili price data provided by the Department of Agriculture of Soppeng Regency, covering prices from 2018 to April 2024. The developed prediction system is capable of providing accurate price predictions, aiding farmers, traders, and consumers in production and purchasing planning. This algorithm is highly effective in predicting small chili prices and offers significant benefits to farmers, traders, and consumers in the region. The system was tested using Mean Absolute Error (MAE) and User Acceptance Testing (UAT). The results showed that the prediction error, measured using MAE, was 2730.83. Meanwhile, the User Acceptance Testing yielded a questionnaire score of 86.27%, indicating that the system has excellent performance and is highly suitable for use. It is hoped that this system will provide benefits to the entire community, especially small chili farmers, in production planning.
Development of Learning Media for Pneumatic Control Systems for Separation and Transportation of Goods Based on Programmable Logic Controller (PLC)
Authors: Aldi  , Akbar Muhammad , Hamdani  , Najib Nandy Rizaldy
Published: December 2024

Pneumatic systems have advantages compared to other systems, pneumatic systems can support quality, productivity and efficiency of work. The research process starts from designing, developing existing tools to testing pneumatic system tools controlled using PLC and HMI. The results show that the design and development process started from adding color sensors and HMI from the system to be created. Then make modeling with the Festo Fluidsim application. After the capitalization is carried out, the hardware assembly is divided into two parts, namely the main and supporting hardware. The main hardware consists of a metal separator system, color separator and robotic arm, while the supporting hardware such as tables, conveyors and control panels. Once the hardware is complete, the PLC and HMI programs are made, the PLC uses MELSOFT Series GX Works2 software and the HMI uses Live Studio software. When the hardware and software are complete, testing and data collection of the tool work are carried out. Tool testing is carried out to determine the required bar pressure with a 100% success rate.
Logistic Supply Chain Management System Modeling Using Blockchain
Authors: Solihin Muhammad Alif , Nur Dahliah , Tungadi Eddy , Yusri Iin Karmila
Published: December 2024

Indonesia's economic growth in the logistics sector is becoming increasingly significant, alongside the rising demand for goods. However, the complexity of logistics supply chain management in Indonesia still faces challenges, including security, human error, and lack of transparency. This research proposes the use of blockchain technology for a logistics supply chain management system, which is capable of storing transaction data in a decentralized and distributed manner. Ganache is used as a local blockchain server, Metamask for transactions, and smart contracts to manage user flows on a web3 dapps-based website. The research procedure includes literature study, design, development, and system testing. The test results indicate that all features and functions of the system operate as expected. The system not only successfully handles high demand and transaction spikes but also demonstrates enhanced data security, improved transparency through real-time tracking, and robust performance under high workloads. Overall, this blockchain-based logistics supply chain management system effectively secures and manages transaction data while enabling data tracking and tracing, thereby increasing transparency and handling high concurrent transactions efficiently.
УРАН ӨНДІРУ КЕЗІНДЕГІ КАТИОНДЫҚ ЖӘНЕ АНИОНДЫҚ ҚҰРАМЫНЫҢ КОНЦЕНТРАЦИЯЛАРЫ МЕН СИПАТТАМАЛАРЫН ЗЕРТТЕУ
Authors: Дәулетбаев Ә.С. , Қадирбеков Қ.А. , Алтынбек А.Д. , Сулейменова М.Ш. , Абилкасова С.О. , Калимолдина Л.М.
Published: December 2024

Мақалада "Семізбай-U" (Қазақстан) уран өндіруші кәсіпорнының "Ирколь" кенішінің қышқылды жерасты ұңғымалық руданы қышқылдық еріту кезінде кеннің элементтік (катиондық және аниондық) құрамын зерттеу нәтижелері баяндалған. Уран тектес кенді қышқылдық еріту кезінде катиондар мен аниондардың түзілуі эксперименталды түрде көрсетілген, катиондар мен аниондардың осы кендерде кездесетін түрлері  уранды қышқылдық еріту және бөліп алу кезінде күкірт қышқылының белгілі бір концентрациясында жинақталатыны көрсетілген. Технологиялық ерітінділерде уранды өндіруде ион алмастырғыш шайырларды ластайтын элементтердің негізгі бөлігін  Al, Fe, Mg және Ca, Si, Mn, V, Ni және Cu құрайтыны баяндалған. Сынамаларда кездесетін кейбір элементтердің құрамы ғылыми қызығушылық тудырады. Атап айтқанда, олардың өнім ерітіндісіндегі мөлшері жоғары болмағанына қарамастан, тауарлық десорбатта (ТД) хром мен мыстың айтарлықтай мөлшері табылып, бұл металдардың ион алмастырғыш шайырда жинақталғанын көрсетеді. Зерттеу жұмысында қолданылған технологиялық ерітінділерде хлор иондары және аз мөлшерде фосфаттар да кездескен.
Руданы қышқылдық еріту процесінде бөлінген иондарға сандық және сапалық анализдер жүргізілді. Уран өндіру кезінде, руданы қышқылдық еріту барысында ілеспелі элементтердің негізгі бөлігі тауарлық уран десорбатын алудың технологиялық сатыларына әсер ететіні және осы көптеген катиондық және аниондық түрдегі элементтердің болғаны баяндалған.  Аниондар мен катиондардың концентрациясына да зерттеулер жүргізілді, шикізаттық уранды өндірудің сатылы технологиялық процесінде аниондар мен катиондар түрлерінің концентрациясы жүйелі түрде қалай өзгеретіні зерттелді. Жұмыста спектрофотометрия, оптикалық-эмиссиялық спектрометрия, титриметрия, рентген-спектрлік талдау, атомдық-адсорбциялық  әдістер қолданылды.
ЛИТИЙ-КҮКІРТТІ АККУМУЛЯТОРЛАРҒА АРНАЛҒАН НИКЕЛЬ ОКСИДІНІҢ НАНОБӨЛШЕКТЕРІ БАР КҮРІШ ҚАУЫЗЫНА НЕГІЗДЕЛГЕН КЕУЕКТІ ГРАФЕН ТӘРІЗДІ КӨМІРТЕКТІ КОМПОЗИТ
Authors: Жумашева Н. , Турсынбек М. , Султанов Ф. , Ментбаева А. , Кудреева Л. , Бакенов Ж.
Published: December 2024

Литий-күкірт (Li-S) батареялары жоғары теориялық энергия тығыздығы мен үнемділігіне байланысты үлкен назар аудартады. Дегенмен, циклдің нашар қызмет ету мерзімі және төмен өткізгіштік сияқты қиындықтар олардың практикалық қолданылуына кедергі келтіреді. Бұл зерттеу биомассадан алынған көміртегі мен никель оксидінің композициясынан жасалған жаңа күкірт катод материалы және сепаратор модификаторын дамыту арқылы Li-S батареяларының өнімділігін жақсартуға бағытталған. Олардың құрылымдық және электрохимиялық қасиеттерін бағалау үшін КҚГ, КҚГ@S, КҚГ-NiO@S және КҚГ-NiO композиттерінің синтезі және сипаттамасы жүргізілді. Электрохимиялық сынақтар КҚГ-NiO@S катодының модификацияланған КҚГ-NiO сепараторымен біріккен кезде, модификацияланбаған сепараторы бар GPC@S катодымен салыстырғанда, жоғары өнімділікті қуатты сақтауды, тұрақтылықты және жақсартылған кулондық тиімділікті көрсетті. Зерттеу жұмысында жоғары арнайы беттік ауданы бар графен тәрізді кеуекті көміртегі биоқалдық күріш қауызынан көміртектендіру және термохимиялық белсендіру процестері арқылы тиімді синтезделді. Күріш қауызынан синтезделген графен тәрізді кеуекті көміртегі мен никель оксиді бар композит кеуектеріне күкіртті орналастыру балқыту-диффузия әдісі арқылы жүзеге асырылды. Дайындалған катодты материал КҚГ-NiO@S композиті құрамындағы күкірттің мөлшері 60 %-ға жуық екені термогравиметриялық әдіс TGA арқылы расталды. КҚГ-NiO@S композитінен және КҚГ-NiO сепараторынан жасалған катодты материал бастапқыда 1599±20 мАсағг-1 разрядтық сыйымдылыққа қол жеткізіп, 0,2 C-де,100 циклден кейін 790,29±10  мАсағг-1 сыйымдылықты сақтап қалды. Бұл биомассадан алынатын материалдардың және олардың композиттерінің Li-S батареяларының негізгі шектеулерін шешуде, жоғары өнімді энергия сақтау жүйелерін жасау үшін перспективалы тәсілді ұсына отырып, әлеуетін көрсетеді.
TÜRKİYE'DE OKUNABİLİRLİK KONUSUNDA HAZIRLANAN TEZLERİN ARAŞTIRMA EĞİLİMİ
Authors: Kavun Mahir , Maden Aslı
Published: December 2024

Bu araştırmanın amacı, okunabilirlik konusunda Türkiye’de hazırlanmış lisansüstü tezlerin; tür, bilim dalı, yıl, danışman ünvanı, üniversite, konu, tezde tercih edilen okunabilirlik formülü gibi çeşitli değişkenler açısından incelenmesidir. Araştırmada doküman incelemesi yöntemi kullanılmıştır. Türkiye’de hazırlanan lisansüstü tezler, inceleme nesnesi olarak belirlenmiştir. Söz konusu tezlere Yükseköğretim Kurulu Ulusal Tez Merkezinden ulaşılmıştır. Araştırma sonucunda; okunabilirlikle ilgili 2002-2023 yılları arasında toplam 32 tezin hazırlandığı tespit edilmiştir. Okunabilirlik konusunda daha çok dil ile ilgili alanlarda çalışmalar yapılmış olmasına rağmen, bir diş hekimliği uzmanlık tezi ve üç tıpta uzmanlık tezinin de bu konuda hazırlandığı sonucuna ulaşılmıştır Yıl değişkeni açısından bakıldığında ise en fazla tezin (7 adet) 2019 yılında hazırlandığı belirlenmiştir. Okunabilirlik konusundaki tezlere danışmanlık yapan akademisyenlerin %37,50’si Dr. Öğr. Üyesi/Yrd. Doç. Dr.; %37,50’si ise Doç. Dr. ünvanlıdır. 12 farklı konuda [biyoloji ders kitabı, broşür (eğitim ve bilgilendirme), dil ve anlatım ders kitabı, fen ve teknoloji ders kitabı, form, kompozisyon, LGS soruları, mevzuat (kanun, yönetmelik ve tebliğ), okuma kitabı, rapor, Türkçe ders kitabı ve web sitesi] okunabilirlikle ilgili tez hazırlanmıştır. Sonuç olarak, Türkiye'de okunabilirlik üzerine hazırlanan tezlerin incelendiği bu çalışmada, özellikle son 5 yıl içinde (2019-2023) bu konuda çok sayıda tezin hazırlandığı tespit edilmiştir. Okunabilirlikle ilgili kitap bölümleri araştırma konusu olarak önerilebilir.
İCAT EDİLMİŞ BİR GELENEK Mİ, BİR FAKELORE ÖRNEĞİ Mİ? ÇANAKKALE KADINLARININ YENİ EĞLENCE BİÇİMİ “ŞALVAR GECESİ”
Authors: Dinç Mustafa
Published: December 2024

Folklorun başlıca malzemesi olan kültür ürünlerinin, disiplinin 19.yy’daki inşa sürecinden günümüze zaman zaman hızlı zaman zaman ise oldukça yavaş bir biçimde; türlü değişiklikler, dönüşümler, uyarlamalar, eksilmeler veya artışlar yaşayarak var olageldiği görülmektedir. Disiplinin başlangıçta odaklandığı temel alan olması nedeniyle genellikle kırsal yaşamla örtüştürülen geleneksel kültürel kodlar halk kavramına bakışın değişmesi; hızlı kentleşme, ulaşım ve iletişim olanaklarının gelişmesi gibi pek çok faktörün etkisiyle elbette ki zaman içerisinde çeşitli uyarlamalar veya yeni biçimlerle kent ortamına da taşınmış, böylelikle folklorik malzeme ağırlıklı olarak kırsal olan karakterinin yanında kentli bir karakter de kazanarak hemen tüm sosyal ortamlarda görünür hâle gelmiştir. Nitekim alan içerisinde kent ve kentli grupların folkloruna eğilen pek çok çalışmanın yapılıyor olması bunun önemli bir göstergesidir. Öte yandan folklorik malzemenin yeni ortamlarda farklı biçimlerde yaşatılıyor veya uyarlanıyor olması disiplin içerisinde “icat edilmiş gelenek” ve “fakelore” gibi kavramların tartışılmasına da zemin hazırlamıştır. Temelinde folklorik malzemenin canlılık, adaptasyon, kimlik inşa etme, aktarılabilirlik, ekonomik ve turistik etkinliklerde kullanılma gibi pek çok özellik ve işlevinin yer aldığı bu durum folklorun bugünkü seyrine yönelik önemli bir veri seti oluşturmaktadır. Bu çalışmada, Çanakkale kırsalına mensup kadınlar içerisinde son iki-üç yılda yaygınlaşıp çevre illerde de örneklenmeye başlanan “Şalvar Gecesi” eğlencesini düzenleyen ve eğlenceye katılan katılımcılarla yapılan mülakatlar çerçevesinde eğlencenin, yapısal ve işlevsel özellikleri sunularak bu yeni eğlence akımı “icat edilmiş gelenek” ve “fakelore” kavramları çerçevesinde değerlendirilmiştir. Neticede kırsal kökenli kadın eğlencelerinden beslenmek suretiyle kent kültüründe hızla yaygınlaşan bu eğlence biçiminin folklor ürünlerinin temel işlevleriyle paralel biçimde psikolojik, sosyolojik, ekonomik ve kültürel bağlamlı birtakım işlevleri yerine getirdiği tespit edilmiştir. Öte yandan eğlencenin, kent ortamında daha önce herhangi bir örneği bulunmamasına rağmen bir manifatura işletmesinin ilk kez uygulayıp, sosyal medya ortamlarının gücüyle hem kent genelinde hem de çevre illerde yaygınlaştırması ve daha farklı giyim-kuşam ve organizasyon firmalarının sahaya girerek önemli bir ekonomik-turistik-ticari alan oluşmasıyla “icat edilmiş gelenek” ve “fakelore” kavramlarıyla örtüştüğü sonucuna varılmıştır.
WILHELM RADLOFF’UN SÖZLÜĞÜNDEKİ ALTAY TÜRKÇESİNE AİT KELİMELERİN İNCELENMESİ (SES BİLGİSİ-KARŞILAŞTIRMALI SÖZLÜK)
Authors: Karaşlar Selda
Published: December 2024

Kitap İncelemesi:
Küçükballı, F. N. (2023). Wilhelm Radloff’un sözlüğündeki Altay Türkçesine ait kelimelerin incelenmesi (ses bilgisi – karşılaştırmalı sözlük). Ankara: Türk Dil Kurumu Yayınları.
Investigation of a 7-Axis Suspended Robotic Arm for Automated Spraying System
Authors: Liu Chao-Chung , Liu Jun-Chi , Liu Chao-Shu
Published: December 2024

This study successfully develops a 7-axis suspended robotic arm for an automated spraying system, considering factors such as flexible operation modes, spray area dimensions, workpiece geometry, and the degrees of freedom required for effective operation. By using SolidWorks software for verification, the endpoints of the robotic arm can reach all positions within the workspace. The design and fabrication of the arm are completed according to specifications for structural strength, load capacity, rated torque output, and rotational speed. Kinematic analyses, both forward and inverse, are applied to determine the posture and position of the 7-axis robotic arm, facilitating the planning and design of the spraying trajectory. The control system architecture utilizes a multi-axis servo control board, integrated with a manifold deformation control method for trajectory tracking. Simulations and experiments are conducted to use a car shell workpiece provided by the manufacturer. The results from the simulations of MATLAB analyses show that the maximum tracking error is less than 0.4 mm. In experiments with the robotic arm, the maximum error is less than 0.7 mm. The results of the simulation and experiment are quite close, indicating that the deformation control method effectively operates the posture and movement of the 7-axis suspended robotic arm. Therefore, the 7-axis suspended robotic arm developed in this study will be effectively utilized in the production line of the automated spraying system.
Synthesis of Preliminary Aircraft Design Solutions Under Epistemic Uncertainty of Optimized Parameters
Authors: Veresnikov Georgy , Goncharenko Vladimir
Published: December 2024

Taking into account epistemic uncertainty in the preliminary aircraft design is relevant due to the lack of accurate and statistical information necessary for applying traditional deterministic and probabilistic mathematical models. When accurate initial data are not available, experts are usually involved in determining the parameters necessary to solve calculation and optimization problems. Experts form functions that reflect the distribution of values of non-deterministic parameters depending on the confidence level in the implementation of these values. To describe and use such functions in the preliminary aircraft design, it is proposed to use the theory of uncertainty, which enables one to calculate the numerical characteristics of the expressions that depend on uncertain parameters specified by uncertainty distributions. The paper focuses on solving the problem of taking into account the uncertainty of the optimized parameters, which arises when there is no confidence in the possibility of exact compliance with the selected design solutions. The developed models are studied within solving the task of the aircraft power plant parametric synthesis.
Research on the Ontology Modeling Method of Liquid Rocket Engine
Authors: Li Chunguang , Wang Dan , Jia Xiaodong , Liu Zhenli , Yu Jie
Published: December 2024

The models of MBSE require the support of integration technology in order to create value, and ontology is the foundation of realizing model integration and interoperability. In this paper, we analyze the connotation of ontology and the construction method of ontology model, and explore the modeling method of liquid rocket engine, including: How to collect entity instances from all kinds of data sources, how to synthesize domain entities from entity instances, and how to abstract domain concepts from domain entities, all of these aim to meet the needs of modeling at different abstract levels. It can be well expected that this research will be an important reference to modeling high quality and interchangeable models for the designers focusing on the application of MBSE.
Visual Servoing Control for Clamping Actions of Grounding Operation Robots
Authors: Xiao Lijun , Wang Jinping , Mo Fan , Li Jinhong , Fan Shaosheng
Published: December 2024

Currently, China’s power equipment is spread across the country, and the maintenance and inspection tasks that come with it are becoming increasingly burdensome. Within substations, the installation and removal of grounding wires are mostly carried out by maintenance workers using grounding rods. This paper proposes a visual servo control method for a drone-assisted hanging grounding operation robot to attach and remove grounding wires. It utilizes the U-net model to identify the gap between the grounding clamp and the cable to ensure the effective connection of the grounding wire. Finally, an experiment was conducted in the lab to test the robot’s attachment and removal of grounding wires, verifying the effectiveness and practicality of the proposed visual servo control method.
Analysis of Key Technologies of Fire Inspection and Extinguishing Robots
Authors: Wang Yong , Ran Dexin , Hu Bin , Yao Lihong , Yang Zhiyun , Ding Chengpeng
Published: December 2024

With the continuous development of technology, fire inspection and extinguishing robots are playing an increasingly important role in fire rescue. This paper conducts in-depth analysis of the key technologies of fire inspection and extinguishing robots, including environmental perception technology, path planning technology, fire source positioning technology, extinguishing technology, and communication technology. It discusses the research status and development trends of these technologies, providing reference for further research and application of fire inspection and extinguishing robots.
Simulation Study on Truck Noise and Distance Minimization with the Novel Dhouib-Matrix4-PMO Method
Authors: Dhouib Souhail
Published: December 2024

In transportation, a famous problem known as Travelling Salesman Problem (TSP) is based on optimizing distance (or time, cost, noise, … etc.) between all nodes. In this paper, two criteria are stimulatingly minimized the distance and the noise using the innovative Dhouib-Matrix4-PMO (DM4-PMO) metaheuristic for a truck case study. The DM4-PMO works on two steps and generate two Pareto non dominated solutions. Where, the first Pareto set is generated using a pondered function and the followed second Pareto is created via a logographical optimization. Simulation results, using Python programming language, on a truck case study (with the noise and the distance minimization) prove that the proposed DM4-PMO method can unravel the multi-objective TSP with an ergonomical graphical representation of the Pareto non dominated set solutions. Further research work will focus on the application of DM4-PMO on other complicated problem such as the multi-objective scheduling problem.
Research on Key Technology of Calibrating Standard Bottle for Hydraulic Pressure Test of Compressed Hydrogen Cylinder for Vehicle
Authors: Zhou Yu , Li Xiuquan , Wang Youhong , Yang Lin , Huang Song
Published: December 2024

The calibration of the standard bottle for hydraulic pressure test of compressed hydrogen cylinder for vehicle has not been carried out in the case of domestic research, the use of high-parameter hydraulic pressure measuring device of cylinder external measurement, through the programmable controller (PLC) manual and automatic control device operation, to achieve the whole process of pressure boost (electronic balance automatic zero) - pressure regulation - pressure maintenance - pressure reduction - recording data. Obtain pressure-time curve and water-time curve, verify the electronic recording table, measure the water displacement and residual deformation value of the outlet sleeve, etc. Build a set of automatic standard bottle calibration device for hydraulic pressure test of compressed hydrogen bottle external measurement for vehicles, and develop the calibration technology of standard bottle for hydraulic pressure test of compressed hydrogen bottle external measurement for vehicles. In this way, the hydraulic test of compressed hydrogen cylinder for vehicle can be completed quickly, accurately and efficiently, and the use safety of compressed hydrogen cylinder for vehicle can be ensured.
A Robust Integrated Navigation System for Unmanned Ground Vehicle Based on IMU/GNSS/Vision/Geomagnetic Fusion
Authors: Yang Pengxiang , Yang Chaoming , Fan Zhenhui , Shen Kai , Mei Chunbo , Zhou Yicheng
Published: December 2024

Aiming at the problem of GNSS signal failure of unmanned ground vehicles in urban environments, a robust integrated navigation system based on IMU/GNSS/ vision/geomagnetic combination is designed, which can generate full-dimension navigation information under the framework of factor graph (FG). Different from the traditional FG model which takes IMU measurement as the core, this paper designs a complete navigation information fusion algorithm and covariance matrix based on visual odometry. To improve the accuracy and reliability of navigation information, this paper introduces offline maps. Given the different dimensions measured in the process of attitude information optimization and the particularity of the rotation matrix, this paper designed an attitude update process based on visual feature points to realize the fusion of IMU, geomagnetic, and feature points. Long endurance road test in a typical urban environment shows that the horizontal positioning accuracy is 4.38m (RMSE), and course accuracy is 0.849° (RMSE).
A Multi-Mode Replenishment Method Based on GSLPSO for Emergency Repair Power Supply
Authors: Chen Dong , Zhang Yijun , Tang Yefeng , Yu Danqi , Wu Zhaoshun , Shen Jian , Zhou Feiyu
Published: December 2024

In the power system, emergency repair power supplies (ERPS) play a vital role in the face of grid failures, natural disasters or other emergencies. ERPS can quickly provide power support for the rapid restoration of the grid, and quick respond to repair tasks, thus ensuring public safety and other aspects of security. However, traditional diesel gensets and gas gensets as emergency power sources have problems such as environmental pollution, high fuel reserve costs, and inconvenient operation. To overcome these shortcomings, a multi-mode replenishment method for outdoor emergency repair power vehicles, is proposed in this paper. A hybrid gravitational search leader particle swarm algorithm (GSLPSO) with maximum power point tracking (MPPT) technique is proposed for photovoltaic charging under sufficient light. And when there is insufficient light or at night, an iterative learning-based charging mode switching method is designed to automatically switch to electric vehicles for charging. If conditions permitted, the system will prioritize the support of AC outlets for replenishment. In order to verify the effectiveness of the method, a multi-mode power replenishment system model is established in MATLAB/Simulink, and the simulation results show that the system can effectively improve the efficiency of replenishment of emergency repair power supply, and significantly reduce the pollution and cost.
An Integrated Navigation Strategy for Obstacle Avoidance and Limited Charge Storage
Authors: Chen Shizhe , Wu Feifei , Yao Jingyin , Chen Yunlong , Hu Yin , Xing Zhigang , Wang Cunle , Hu Chenfeng
Published: December 2024

This study presents a comprehensive optimization strategy to address the challenges of obstacle avoidance and low battery-induced stranding faced by automated guided vehicles (AGVs) in complex industrial environments. Initially, considering the variety of obstacles AGVs may encounter while navigating, the system creates a virtual leader and employs an enhanced dynamic window approach (DWA) to integrate real-time data on AGV’s current position, speed, battery status, and surrounding obstacle information. This integration facilitates the planning of obstacle avoidance paths to minimize speed fluctuations. Furthermore, the strategy involves real-time monitoring of the AGV’s battery status and predicting its consumption trends. When the battery level falls below a predefined threshold, the system automatically recalibrates the AGV’s path, guiding it to the nearest charging station for recharging, thus ensuring task continuity and preventing stranding due to battery depletion. This approach not only improves AGV’s operational efficiency but also significantly reduces the risk of stranding due to collisions or being too far from charging stations. Through simulation testing, it is demonstrated that the proposed strategy effectively enhances AGV’s battery management efficiency and reduces incidents of stranding caused by obstacles and battery issues. This comprehensive optimization strategy provides an effective solution for the energy and safety management of AGVs, significantly contributing to the enhancement of AGV operational stability and task completion rates.
Hybrid CNN-sLSTM Algorithm for Short-Term Wind Speed Prediction
Authors: Jin Tao , Wei Jianing , Zhou Hongjuan , Wang Chenxu , Zhou Zhiquan
Published: December 2024

Wind speed prediction is of significant scientific and practical importance for optimizing the operation and maintenance of wind power generation systems. This paper proposes a neural network architecture for short-term wind speed forecasting, which combines convolutional neural networks (CNN) with scalar long short-term memory (sLSTM). The first component effectively extracts spatial features by capturing local dependencies and patterns crucial for accurate predictions. The latter component captures temporal dependencies using scalar memory cells, which enhance information retention and updates over time. This combination enables the proposed model to handle the complex and dynamic nature of wind speed data. To evaluate the model performance, a comprehensive comparison and validation were conducted of different wind speed prediction algorithms using public datasets. The results demonstrate that the proposed model outperformed other benchmark models in terms of accuracy and stability. The CNN-sLSTM model, with its enhanced predictive capabilities, demonstrates the ability to improve the operational efficiency and precision of mechatronic systems within the wind power industry.
Design and Simulation of the 16-bit SAR ADC
Authors: Wu Pan , Liu Bingyang , Zhao Xuefei , Gao Bo
Published: December 2024

The paper presents a high-precision successive approximation register (SAR) analog-to-digital converters (ADCs) for the bio-signal detection in internet of things (IoT) applications. A 16-bit SAR ADC with 2.5V input voltage range is designed using 180nm CMOS process. The 16-bit SAR ADC mainly includes bootstrap switches, a capacitor DAC (CDAC), a dynamic comparator, SAR logic with rotation averaging correction. The CDAC adopts a three-segment structure to realize the high resolution. The control timing sequence of the SAR ADC is VCM-based, further reducing the area of the capacitor array, and the rotational averaging algorithm is designed to correct capacitor mismatch. The power supply voltage is 3.3V, and the overall layout area is about 3.5mm2. The post-simulation shows that SNDR is 86.32dB, the SFDR is 98.01dB, and the ENOB is 14.04bit. The overall power consumption is 2.56mW.
Interfacing of Automatic Waste Segregation System Using Arduino UNO
Authors: Nigam Akhil
Published: December 2024

We live in the urban region where the piling up of waste heaps is often observed. The waste produced throughout the country is massive and often gets difficult to be segregated manually. The world is becoming smart so must be the solution to our problems. The main objective of our product is to separate metallic waste, wet waste and dry waste automatically. When the waste is thrown into the main bin, the IR sensor sense the waste and the other sensor attached sense the category of waste. Then according to the algorithm fed, the waste is segregated and is thrown in the respective bins with the help of servo motor. This setup produces an automatic way of segregating waste and reduces the manual efforts. This product is made with the help of Arduino UNO and sensors.