bluuebunny/crossref_metadata_2025 huggingface dataset:
The impact of Ukrainian imports on the food security of its trade partners
Authors: Babets Iryna , Vlasenko Lev , Fleychuk Mariya , Nakonechna Nataliya , Salamin Oksana
Published: November 2024

The relevance of the problem under study is that changes in foreign markets can significantly affect the food sector of other countries, and global food security, measured by a set of indicators, including the Global Hunger Index, is one of the main threats to international economic stability. The research aimed to assess the relationship between the food security of China, Bangladesh, Sri Lanka, Pakistan, Vietnam, Indonesia, and India and the dynamics of their imports of agricultural and food products from Ukraine. The study used a range of methods, including an analysis of the dynamics of the Global Hunger Index of Ukraine’s largest importers, and structural and regression analysis of agricultural imports from Ukraine. The results revealed a positive impact of Ukraine’s food imports on the food security of several countries. Specifically, the study found that imports of vegetables from Ukraine have a positive impact on China’s food security, while Ukrainian milk, dairy products, poultry eggs, natural honey, oilseeds, and oilseed fruits help to ensure food security in Indonesia. Grain imports from Ukraine also have a positive impact on Pakistan’s food security. However, the study did not confirm a statistically significant correlation between the dynamics of the Global Hunger Index and food imports from Ukraine to Bangladesh, India, Sri Lanka, Vietnam, and Vietnam in the period from 2011 to 2023. The study’s practical significance is determined by understanding the impact of Ukrainian imports on trading partners’ food security, as well as the need to develop strategies to diversify supplies and stimulate domestic production in order to guarantee the resilience and sustainability of these countries’ food sectors
Wine production in Ukraine: Challenges, opportunities today
Authors: Bezhenar Inna
Published: November 2024

The relevance of the study is driven by the need to overcome the challenges facing Ukraine’s viticulture and wine production sectors, such as the lack of consistent state policy, high tax barriers, competition with imported products, and the negative impact of military actions, to ensure their sustainable development and recovery. The study aimed to analyse current trends in Ukrainian viticulture and wine production, identify key problems, and develop proposals for their resolution to stimulate the sector’s development in the context of European integration and wartime conditions. The research focused on assessing the current state of viticulture and wine production in Ukraine using statistical methods to analyse production indicators and structural changes in the sector. The study revealed a significant reduction in the area of fruit-bearing vineyards and a decrease in grape production from 1990 to 2023. It was found that military actions led to additional losses of vineyards and winemaking capacities, negatively impacting the sector’s development. Structural changes in the winemaking industry were also analysed, and their implications for the national economy were summarised. Despite the difficulties, there has been a growing interest in Ukrainian wine in the domestic market and the beginning of export recovery from 2014 to 2023, indicating the potential for the sector’s recovery and growth. The study’s results can be used by government authorities and entrepreneurs to develop policies supporting viticulture and wine production, aimed at reducing import dependency and increasing the competitiveness of Ukrainian wine products
Lightweight Design of the Axle Under Different Working Conditions for Carbon Reduction
Authors: Liu Hao , Yang Quan
Published: November 2024

The lightweight design is considered to be an effective way to save energy and reduce emissions. Therefore, a lightweight design method for the axle under different working conditions is proposed based on the ANSYS workbench. Firstly, the forces on the axle were analyzed under different working conditions. Secondly, a three-dimensional model of the axle is established using Pro/E, and then imported into the workbench to simulate the static analysis based on the results of the mechanical calculation. The stress, displacement, and safety factors of the axle are obtained by material parameter adding, finite element grid division, boundary condition constraints, and loading conditions. Finally, based on the simulation data results of the axle, the structure of the axle is optimized, the model is compared again, and a lightweight design scheme can be obtained. The results show that the mass of the axle is reduced by 13.14 kg, and its strength and stiffness meet the required conditions. The lightweight design method can save materials, reduce production costs, and cut carbon emissions, which has extremely important reference and practical significance for the lightweight design of axles and similar products.
A Knowledge Extraction Method of Power Equipment Operation and Inspection for Multimodal Data
Authors: Zhang Xinghui , Liu Tongyang , Zheng Heqi , Zhang Fengda , Zhang Qiang
Published: November 2024

In order to improve the accuracy of information extraction in multimodal electric power operation and inspection data and to solve the problem of aligning electric power text records with image records, a knowledge extraction method for electric power equipment operation and inspection oriented to multimodal data is proposed. First, the constructed alignment network uses the contrast loss to find the operation and inspection images from multiple images that are consistent with the description of the text records; then, the parameters in the alignment network are frozen, and a two-pointer network is constructed to extract the subject names of the electric equipment or components in the electric operation and inspection records, and the designed multimodal fusion module and the subject information are utilized to predict the location of the guest under different electric operation and inspection relationships, and to complete the electric operation and inspection ternary group Prediction. The method is validated on the power equipment operation and inspection dataset and the public dataset, and the experimental results show that the method has a better effect on graphical.
Data-Driven Granular Fluid Dynamics Model
Authors: Li Dengzhou , Pan Jianhua
Published: November 2024

This paper describes a framework using Artificial Neural Networks (ANN) to learn and predict the dynamic behavior of granular flows, which differs from modeling granular flow systems using dynamical methods. This approach involves learning from micro-scale data and transferring the learned behaviors to the macro-scale to establish an accurate model. The micro-scale data are generated through Discrete Element Method (DEM) numerical simulations, providing a series of control parameters for the ANN, such as Knudsen number, volume fraction, restitution coefficient, and Mach number. The ANN can evolve and reproduce the relationships between control parameters and the dynamics of granular flow. Once trained, the ANN can compute the macroscopic behavior of granular systems. This model predicts the motion of granular flows and other macroscopic phenomena, consistent with experimental results, while significantly reducing time and computational costs.
Research and Development of Reducer Virtual Simulation System Based on Mixed Reality (MR) Technology
Authors: Liang Feng , Liu Junying
Published: November 2024

In order to improve learning pleasure and save teaching costs, this paper uses MR technology to research and develop the virtual simulation system of reducer.Take the primary reducer and the secondary reducer as the development prototype of the simulation system, use 3ds-max software to create and render the model at 1:1 scale, use Photoshop software to edit the reducer map and other effects, select Unity 3D software as the mixed reality development platform, and use C # language programming to realize the animation and interactive functions of the simulation system. The reducer virtual simulation system developed in this paper has five modules and functions: structure introduction, model observation, model sectioning, disassembly and assembly process, and working principle. The application of this system can improve students’ learning pleasure and practical ability, and save the teaching cost waste caused by purchasing multiple reducers.
The Application of Time Series and Cointegration Test in the Field of Economics
Authors: Hao Yanru , Chen Yiwei
Published: November 2024

This article selects Zhejiang as the research area and uses time series and cointegration tests to deeply explore the current development status of the cultural industry and tourism industry. Based on this, an in-depth analysis was conducted on how the clustering of cultural industries affects the tourism industry, including various aspects of economic benefits, industrial layout, and the tourism market. At the end of this article, the author also provides some policy recommendations.
Increasing Dynamic Control Accuracy by Increasing the Order of Integration
Authors: Zhmud Vadim
Published: November 2024

Control in a loop with negative feedback has been widely used in technology for a very long time, and especially intensively in all areas of science and technology – over the last 50 years. A system consisting of an object and a sequential controller at its input, in which the output signal of the object is subtracted from the task signal, and this difference is fed to the input of the sequential controller, is the most effective solution for a huge and growing class of objects that need to be controlled with the highest precision. It is traditionally believed that the integrator in the controller provides only the static accuracy of the control and stabilization system, and the required dynamic accuracy can only be ensured by expanding the operating bandwidth of this system. Therefore, controllers with double or triple integration are not considered as a way to increase the dynamic accuracy of automatic control systems. This article offers a theoretical justification and proof using mathematical modeling and optimization that additional integrators from one to two clearly demonstrate the effective ability to reduce the dynamic error by tens and hundreds of times when suppressing harmonic interference. The lower the frequency of this interference, the more effective the double and triple integration in the regulator. The article provides graphs that allow you to visually compare errors in systems with different types of controllers for the same examples of a mathematical model of an object.
Mathematical Modeling and Simulation of Composite Wireless Channels for QAM-Based Image Transmission and Datasets Generation
Authors: Olasina J.R. , Aliu O.H.
Published: November 2024

The advances towards 5G and 6G technologies in modern wireless communication systems have increased the demand for strong transmission and reception of signals over fading channels. The work provided in the contributions herein covers simulating a composite fading channel that incorporates the Rician and Rayleigh models into the AWGN noise and transmitting images modulated under the scheme of various QAMs including 16-, 64-, 1024and 4096-QAM at different SNR values. The aim is to generate modulation I/Q signals datasets suitable for deep learning applications, in particular, Automatic Modulation Classification using Convolutional Neural Networks. These datasets represent real-world wireless environments, modeling 4G to 6G technologies. Applying some preprocessing techniques and CNN models, in particular ResNet50 and LeNet, for classification of these modulation schemes yielded promising results for cognitive radio and spectrum management. It indicates that the most important role of CNN-based AMC is in enhancing the spectrum efficiency of wireless communication systems.
Research on Strengthening Design of Deep Foundation Pit of High-Rise Building-Taking Stability Calculation of Deep Foundation Pit of a High-Rise Building in Zhanyi, Qujing City, Yunnan Province as an Example
Authors: Zhao Yanfeng , Pan Shaohong , Sun Yanan
Published: November 2024

In the process of urbanization, in order to optimize resource allocation and efficient use of space, high-rise buildings with two or even multi-story basements are very common. In the construction process of deep foundation pit, the stability of the foundation pit involves the stress, deformation, groundwater, supporting structure and other aspects of the soil, and it is necessary to monitor the foundation pit and the surrounding environment and buildings, timely find possible situations and make rapid and reasonable disposal to ensure the overall safe and orderly construction of the construction project. Taking a deep foundation pit of a high-rise building in Zhanyi, Qujing City, Yunnan Province as an example, this paper analyzes the causes of the deformation of the surrounding environment during the construction of the foundation pit, and puts forward the design scheme of foundation pit reinforcement for the reference of the construction personnel, and provides reference for the design and construction of similar foundation pit support and reinforcemen.
Experimental Investigation on the Change Law of Concrete Shear Peak Strength and Its Influence on Reliability
Authors: Zhang Baohua , Zhang Zhenkang , Zheng Peng , Qi Shiyao
Published: November 2024

Concrete material has been widely used in roads, Bridges, tunnels, DAMS and other fields because of its high strength, durability, plasticity and good fire resistance.This study investigates the direct shear failure behavior of concrete specimens through a series of controlled direct shear tests, focusing on the micro-mechanical inconsistencies that manifest during the shear failure process. Specifically, the research examines the release characteristics of peak shear strength throughout the direct shear process and its implications for the reliability of concrete structures.The findings reveal that during the experimental procedures, irrespective of the variations in normal load, both the shear displacements and displacement increments at different regions of the shear plane exhibit notable inconsistencies. Analysis of the shear stress versus shear displacement relationship curves derived from the direct shear tests indicates that the release of peak shear strength in concrete is a gradual process.Furthermore, during the direct shear testing, although the conditions on the concrete shear plane intermittently satisfy the shear failure strength criteria, the specimen as a whole does not exhibit catastrophic failure, nor do significant alterations in overall reliability occur. Localized failures transpire on the shear plane when the normal stress and shear stress concurrently fulfill the shear failure strength criterion. As the incidence of localized failure escalates, stability in these regions diminishes, resulting in a decline in the overall stability of the specimen. When localized failure reaches its critical threshold, the shear displacement concurrently approaches its ultimate deformation capacity, leading to a significant reduction in the overall stability of the specimen, ultimately resulting in the collapse of its reliability.
X-ray transform and 3D Radon transform for ellipsoids and	tetrahedra
Authors: Zhu Jiehua , Lee Seung Wook , Ye Yangbo , Zhao Shiying , Wang Ge
Published: November 2024

Accurate simulation of X-ray transforms of representative objects plays an important role in the evaluation and improvement of CT reconstruction algorithms. In this paper, we formulate the X-ray transform and 3D Radon transform for ellipsoids and tetrahedra, and verify the resulting formulas by numerical simulation. Here the ellipsoids and tetrahedra may be arbitrarily positioned and rotated. Linearity of the first derivative of radon transform is observed. Our results serve as a benchmark for development of various cone-beam algorithms that work through the Radon space, such as Grangeat-type algorithms.
Digital tomosynthesis of joints based on a C-arm system
Authors: Lou Hong , Zhang Qizhi , Gibson Clayton , Li Senhu , Jiang Huabei
Published: November 2024

A hand/joint radiograph from systems such as C-arm is a two-dimensional (2D) projection of a three-dimensional (3D) object. In this paper we describe a simple tomosynthesis algorithm that is particularly suited for 3D imaging of joints based on a C-arm system. The algorithm is tested and evaluated using projections from simulated joints and projections generated with a C-arm system from joints formed by chicken bones. The results obtained demonstrate that the algorithm is able to provide accurate 3D reconstruction of joint structures.
Regional cervical tumor microcirculatory response: Are there	systematic differences in contrast uptake patterns with respect to the	uterus?
Authors: Wu Dee H. , Mayr Nina A. , Zheng Yi , Wolff James D. , Edwards Susan M. , Liu Hong , Yuh William T.C.
Published: November 2024

Purpose/Objective: Dynamic Contrast Enhanced (DCE) Magnetic Resonance Imaging (MRI) has been reported to be valuable in the evaluation of perfusion patterns throughout the entire tumor bed. Tumor cell heterogeneity over the entire structure has been well described in the literature. However, regional heterogeneity of DCE-MRI within the tumor has not been previously investigated until this point. The purpose of this study was to assess the topographical pattern of DCE-MRI among different subdivisions within tumors evaluated by DCE-MRI in cervical cancer patients.

Materials/Methods: The DCE-MRI data from subdivisions of cervical cancer patients were evaluated prior to radiation therapy (n = 18). Each tumor was sectioned into eight three-dimensional subdivision wedge "regions" arrayed around the tumor center-of-volume. The orientation of the wedges was based upon uterine direction as determined by the projection of the endometrial canal and spatial orientation of the uterus. Tumor perfusion was estimated by the Relative Signal Intensity (RSI), which was defined by the ratio of the plateau post-injection signal intensity (SI) (at 75 seconds post-injection) divided by the pre-contrast SI on a pixel-by-pixel basis. Perfusion in each of eight regions of the cervical cancers was estimated by the mean RSI within each region. Statistical differences among the various regions were computed from RSI distributions within each three-dimensional wedge evaluated in cervical cancer patients pre-radiotherapy.

Results: Significant differences over the eight regional subdivisions were found via a repeated-measures analysis of variance (ANOVA) design that produced an F-value = 18.37 with Degrees of Freedom – DOF(7,119) such that p < 0.0001. In addition, a planned comparison between tumor segments closest to the uterine corpus as compared to segments closest to the cervix demonstrated significant differences t-value = 3.19, p < 0.002.
Application of a Zernike-type phase contrast hard X-ray microscope	to microtomography
Authors: Aoki Sadao , Hoshino Masato , Watanabe Norio
Published: November 2024

A Zernike-type phase contrast hard X-ray microscope was constructed at Photon Factory (PF) BL3C2. The spatial resolution of better than 200 nm was obtained with the zone plate of the outermost zone width of 50 nm at the X-ray energy of 5 keV. A pinhole-type phase plate was made of 3μm thick aluminum foil. Transparent biological specimens could be observed. A phase contrast three dimensional image was obtained using a tomographic technique.
Feature extraction of dermatoscopic images by iterative	segmentation algorithm
Authors: Rajab Maher I.
Published: November 2024

Since the introduction of epiluminescence microscopy (ELM), image analysis tools have been extended to the field of dermatology, as an attempt to algorithmically reproduce clinical evaluation. Accurate image segmentation of skin lesions is one of the key steps for useful, early, and non-invasive diagnosis of coetaneous melanomas. This paper proposes an image segmentation algorithm to extract the true border that reveals the global structure irregularity (indentations and protrusions), which may suggest excessive cell growth or regression of a melanoma. The algorithm is applied to the blue channel of the RGB colour vectors to distinguish lesions from the skin and. Analysis of image background is applied by recursive measure of the median and standard deviation of background. This will facilitate automatic and recurring noise reduction and enhancement by image pre-processing. The algorithm also does not depend on the use of rigid threshold values, because an optimal thresholding algorithm "isodata algorithm" that is used determines an optimal threshold iteratively. Experiments are performed on diversity of synthetic skin images that model real hair and lesions of different border irregularities. The aim is to verify the capability of the segmentation algorithm in extracting and characterizing the true features of the processed skin lesions. The next phase of test applies the algorithm to real skin lesions representing high resolution ELM images. We demonstrate that we can enhance and delineate pigmented networks in skin lesions visually, and make them accessible for further analysis and classification.
Proton Mechanisms of Neurotransmission and Calcium Signalling for Impulse Initiation, Development and Propagation
Authors: Molinari Giuliano
Published: November 2024

Protons are gaining increasing attention as neurotransmitters due to their extraordinary abilities to rapidly transfer electrical charge, mobilize cellular calcium and modulate ion channels. How all this is possible is currently the subject of in-depth studies and discussions concerning not only neurophysiology, but also biological materials for artificial intelligence.

This review describes some biochemical mechanisms by which protons, in combination with calcium, can initiate firing in sensory neurons and transmit impulses across synapses, thus supporting the action of Na+ and K+ ions shown by Hodgkin and Huxley[1]. Furthermore, mechanisms are put forward concerning how many hydrolases and neurotransmitters, particularly glutamate, gamma-aminobutyric acid, adenosine triphosphate and acetylcholine, are able to generate protons.

The results of the numerous experimental works taken into consideration indicate that protons can play a fundamental role both in the generation and in the transmission of the sensory nerve impulse.
Cholinergic Signaling Differentially Regulates Song Premotor Circuits to Stabilise Songs in Songbirds
Authors: Xu Ning , Zhang Yutao , Sun Yalun , Song Xueqing , Cao YangYang , Yang Xinqi , Wang Songhua , Meng Wei
Published: November 2024

Cholinergic modulation plays an important role in motor skill learning, including vocal learning. In songbirds, song premotor nucleus RA simultaneously receives inputs from song nuclei HVC and LMAN, and then its projection neurons (RAPNs) generate song motor control output. Using electrophysiological and pharmacological methods, we found that cholinergic signaling can enhance song stability by reducing HVC-RAPN excitatory synaptic transmission in adult male zebra finches, mediated by mAChRs. Although nAChRs are not effective overall, cholinergic signaling can also decrease LMAN-RAPN excitatory synaptic transmission induced by electrical stimulation via nAChRs, suggesting the potential role of cholinergic regulation in song behavior through LMAN-RA pathway. On the contrary, in adult female zebra finches, only LMAN-RAPN synaptic transmission was reduced by cholinergic signaling via mAChRs. The role of differential cholinergic regulation of song premotor circuits in songbirds’ singing provides insights into the neural processes of motor skill learning.
Impacto del método pilates en reducción y riesgo de caídas en el adulto mayor: una revisión sistemática
Authors: Meneses Villalobos Mauricio Axel
Published: November 2024

Introducción: Las caídas representan una de las principales causas de lesiones graves y mortalidad en adultos mayores, debido a factores intrínsecos como la debilidad muscular y problemas de equilibrio, así como a condiciones extrínsecas del entorno. Objetivo: Analizar la efectividad del método pilates en la reducción de caídas y en el riesgo de ellas en adultos mayores. Métodos: Se realizó una búsqueda sistemática en las bases de datos Web of Science, Scopus, ScienceDirect y PubMed para el periodo comprendido entre los años 2014 y 2024, mediante la ecuación TS= (“Pilates” OR “Pilates exercise” OR “Pilates training”) AND TS= (“fall risk” OR “fall prevention” OR “elderly”) AND PY= (2014-2024)). Dicha búsqueda arrojó un total de 63 artículos los cuales fueron analizados mediante las directrices PRISMA, seleccionándose un total de 6 artículos en conformidad con los criterios de inclusión. Resultados: Los resultados indican mejoras en el equilibrio, la fuerza muscular, la movilidad funcional y la confianza en el equilibrio, aspectos cruciales para la prevención de caídas lo que condice con una disminución en el número de caídas. Conclusión: El método pilates es una intervención prometedora para reducir el número de caídas y el riesgo de ellas en adultos mayores, mejorando el equilibrio, la movilidad funcional y la confianza en el equilibrio.
A Study on The Concept and Access In E-TEP Hernia Repair: Is E-TEP A New Paradigm?
Authors: Behera Mitali , Hota Smruti Ranjan , Pandey Manas , Beura Debangini , Lenka Biranchi Narayan
Published: November 2024

Background: Hernias are a common surgical issue characterized by the protrusion of abdominal contents through a weakened abdominal wall. The extended Totally Extraperitoneal (e-TEP) technique has emerged as a modern approach to ventral and inguinal hernia repairs, allowing the large mesh placement in the retrorectus plane while minimizing intra-abdominal complications. Despite its potential benefits, challenges like retromuscular access and suturing in confined spaces persist.
Aim: This study aims at the effectiveness of the e-TEP technique in hernia repair, focusing on clinical outcomes, postoperative management, and risk factors for recurrence and complications.
Methods: A prospective study was conducted at the Department of General Surgery, Hi-tech Medical College and Hospital, Rourkela, from January 1, 2024, to June 30, 2024. Fourteen patients with ventral and inguinal hernias were treated using the e-TEP and e-TEP-RS techniques. The procedures, complications, and outcomes were recorded and analysed over a mean follow-up period of six months.
Results: The mean surgery duration was 210 minutes, with an average hernia defect size of 5.8 cm in width. A large mesh (mean size 486 cm²) was used in all cases without additional fixation. Postoperative complications were minimal, resolving without intervention. There were no recurrences or significant complications like surgical site infections or bowel obstructions during the follow-up period.
Conclusion: The e-TEP technique is a safe and effective alternative for hernia repair, offering a tension-free repair with low complication rates. The findings suggest that e-TEP may provide a durable and minimally invasive option for hernia surgery.
Recommendations: While these results are promising, further research with a larger sample size and longer follow-up is needed to validate the long-term efficacy and safety of the e-TEP technique.
Keywords: Hernia Repair, e-TEP Technique, Ventral Hernia, Inguinal Hernia, Minimally Invasive Surgery, Mesh Placement.
A New Potentiometric Sensor for the Selective Determination of Iron in Water Samples
Authors: Narendra Kumar  , Vikas Kumar
Published: November 2024

A new PVC potentiometric sensor namely well discriminating to Fe (III) ions was processed by utilizing N, N’-bis (2-dimethoxybenzylidene) ethylenediamine as sheet carrier. The sensor exhibits a excellent-Nernstian slope of 19.5 mV per ten of something over a 7.3x 10-8- 1.0x 10-1 M aggregation range. It has a reaction opportunity of about 30 s and maybe secondhand for not completely 60 days outside some difference in potentials. The projected sensor disclosed very good discrimination for Fe3+ over a off-course assortment of different cations over a pH range 3.6–10. It was used to the direct perseverance of iron in water from faucet samples and, as a sign terminal, in potentiometric titrations of Fe3+ ion. The terminal was too favorably used to the adaptive evolution of iron in aqueous resolutions.
Моделювання інтервально-цензурованих надмірно дисперсійних даних процесу виживання
Authors: Очередько Олександр Миколайович , Руденко Анастасія Абдукарімівна
Published: November 2024

Вступ. Невідомий точний час подій і можлива неоднорідність розподілу частот подій за часовими інтервалами разом із недоліками профілю створюють проблеми для моделювання даних. Це вимагає або міксту розподілів латентних змінних, або узагальнених розподілів, які враховують неоднорідність. Нашою метою було вивчити здатність негативної біноміальної регресії типу 2 (NB2) справлятися з представленими проблемами. Методи та дані. Ми запропонували застосування регресії NB2 із підтримкою аналізу потужності, реалізованого в пакеті R «ltable». Ми перевірили ефективність на штучно змодельованих даних, щоб продемонструвати здатність до розкриття механізму генерації даних. Результати підтвердили, що частоти гетерогенні, що є звичайною ситуацією. Коваріаційна матриця параметрів моделі була недостатньо стабільною та чутливою через брак профілів, що також характерно. Відповідність даним була гарною, оскільки критерій хі-квадрат був менше 1 на ступінь свободи з фактичним значенням 0,09. Це було підтверджено аналізом залишків моделі. Ефекти регресії мали очікувані напрямки та величини та розкрили механізм генерації даних. Аналіз потужності підтвердив результати моделювання та підтримав справжній механізм генерації інтервально цензурованих даних. Ми припускаємо, що даний приклад підтверджує ефективність моделювання. У свою чергу, аналіз потужності допомагає підтвердити вихідні дані, виявити, та обґрунтувати справжній механізм генерації інтервальних цензурованих даних. Висновки. Моделювання інтервальних цензурованих даних з гетерогенністю все ще є проблемою через наддисперсність і дефіцит профілів, що зменшують потужність тестування гіпотез. Ми пропонуємо NB2 регресію за підтримки аналізу потужності для аналізу таких даних. Результати аналізу штучно згенерованих даних підтримує ефективність моделювання.
Клінічна ефективність місцевої анестезії при лікуванні гострих форм періодонтитів у підлітків
Authors: Клітинська Оксана Василівна , Лайош Наталія Василівна , Горзов Людмила Федорівна
Published: November 2024

Вступ. Лікування гострого періодонтиту здійснюється після проведення попереднього знеболювання, ефективність якого обумовлена правильним вибором методу знеболювання і його виконанням та значною мірою залежить від психоемоційного стану пацієнта, особливо у підлітковому віці. Мета дослідження. Визначити ефективність місцевого знеболювання при лікуванні гострих періодонтитів у підлітків в залежності від рівня базової тривожності. Матеріали та методи. Для аналізу були відібрані 32 пацієнти, віком від 11 до 17 років з верифікованим діагнозом гострий періодонтит зокрема, 23 пацієнти з високим рівнем тривожності (71,8%), 6 з помірним (18,8%), та 3 з низьким рівнем тривожності (9,4%). Усі патології потребували лікування під знеболюванням із застосування провідникових методів згідно топографії із застосуванням місцевого амідного анестетика артикаїнового ряду, котрий містить артикаїну гідрохлориду 40 мг та епінефрину гідрохлориду 0,012 мг (еквівалентно 0,01 мг епінефрину) об’ємом 1,7мл. У всіх пацієнтів провели оцінку рівня реактивної та особистої тривожності проводили згідно методики Ч.Д. Спілбергера (в адаптації Ю.Л. Ханіна). Зважаючи на рівень базової тривожності визначали рівень больових відчуттів за допомогою модифікованої шкали VAS перед проведенням лікарських маніпуляцій, через 5, 10 та 15 хвилин після проведення анестезії. Статистичний аналіз отриманих даних проводилися на персональному комп’ютері з використанням ліцензованих програм ˝МS Excel 7˝ для операційної системи˝ Windows˝. та стандартного пакету програм «STATISTICA» v. 6.0. Висновки. При лікуванні гострого періодонтиту сильний больовий синдром відмічався до знеболювання у 39,1% випадків, достовірні відмінності між групами порівняння виявлені через 5 хвилин (34,8%; 4,3%; р<0,05), через 10 хвилин (17,4%; 0,0%; р<0,05), та через 15 хвилин (4,4%; 0,0%; р<0,05). Нестерпний больовий синдром до знеболювання відмічався у 47,8% випадків, через 5 хвилин 21,8% та через 10 хвилин 4,4% у пацієнтів без проведення корекції, що достовірно відрізняється від аналогічних показників у пацієнтів після корекції (р<0,05).
Мінеральний склад твердих тканин зубів як детектор загального стану організму
Authors: Клітинська Оксана Василівна , Бунь Орест Вікторович
Published: November 2024

Вступ. Мета дослідження. Проаналізувати дані літературних джерел з щодо вивчення взаємозв’язку мінерального склад твердих тканин зубів та загального стану організму. Матеріали та методи дослідження: наукові публікації дослідників за визначеною тематикою; був використаний бібліо-семантичний метод та структурно-логічний аналіз. Результати. В організмі людини 99% його елементного складу представлено такими складниками як кисень, водень, вуглець, азот, натрій, кальцій, магній, калій, сірка, фосфор, хлор та фтор. В свою чергу більш ніж 90% хімічного складу живих клітин складають вуглець, водень, кисень і азот. Мінеральний склад твердих тканин здорових зубів перебуває в динамічній рівновазі все життя, з віком змінюються фізичні властивості зубної емалі та дентину, зокрема вірогідна відмінність показників твердості, модуля пружності та крихкості, що впливає й на механічні та фізіологічні характеристики всіх тканин зуба та функціонування зуба як органа в цілому. В ході проведених досліджень доведено, що концентрація всіх металів (Ca, Mg, Cd, Cu, Pb, K, Cr) у тканинах тимчасових зубів з віком знижується (p≤0,05). За результатами проведеного кореляційного та кластерного аналізу визнана участь іонів свинцю, заліза, марганцю та хрому у формуванні вмісту міді в твердих тканинах тимчасових зубів. Проте, не дивлячись на те, що певні елементи присутні в невеликих кількостях в емалі і дентині зубів, їх відсутність може порушити здоровий розвиток емалі та дентину та призвести до дефектів розвитку зубів, а також до карієсу. Окрім того, надмірне споживання деяких мікроелементів може зворотно вплинути на розвиток і здоров’я зубів. Дослідники встановили, що іони свинцю замінюють кальцій, а також кальцій і фосфор у кристалах кісткових мінералів, викликаючи гіперкальціємію та гіперфосфатемію, тобто свинець вважається елементом, що сприяє карієсу. Точний вплив мікроелементів на здоров’я зубів і ротової порожнини досі залишається невивченим. Для визначення хімічного складу твердих тканин зубів використовують методи фізико-хімічного аналізу, зокрема: атомну, силову, скануючу, електронну, інфрачервону, оптичну мікроскопію, електронне мікрозондування, мас-спектрометрію, термодеріватографію, інфрачервону спектроскопію.Результати спектрального дослідження твердих тканин зубів допоможуть підібрати пломбувальний матеріал з урахуванням його адгезивних властивостей, що покращить віддалені результати лікування карієсу та якість здійснених реставраційних робіт. Висновок. Обгрунтований підхід до вивчення елементарного складу емалі та дентину на різних рівнях в зубах при карієсі та ураженнях тканин пародонта представляє суттєвий науковий інтерес.
Pelatihan dan Pendampingan Persiapan Ulangan Asesmen ANBK Berbasis Komputer di SD Negeri 75 Locok
Authors: Ramadan Irfan Fadrian , Cheriani  , Hajar Andi
Published: November 2024

The reason for this service is the introduction of the Computer-Based National Assessment (ANBK) in elementary schools. The implementation of ANBK at the primary school level requires a lot of preparation, including preparing students who are not yet computer-savvy to take computer-based assessments. The purpose of this service is to introduce students to computers in general and deepen their understanding of ANBK materials. This service is delivered with a Participatory Action Research (PAR) approach. The approach is in the form of computer introduction activities, deepening material and question analysis, and ANBK simulations. This service is carried out in collaboration with the service team and school managers or school administrators. The training participants amounted to 16 Grade V students of SD Negeri 75 Locok. This service provides understanding and knowledge that students can implement into the ANBK system on their computers. This can be seen from students who better understand the basics of computers, are fluent in entering personal information, understand ANBK materials, and are able to complete ANBK simulations successfully
The credit volume and its relations with money supply in Türkiye
Authors: Tekin Bilgehan , Temelli Fatma
Published: November 2024

Structural breaks in credit volume refer to sudden and significant changes in the extent to which credit is extended by financial institutions. These breaks can occur for various reasons, such as changes in lending standards, shifts in economic conditions, or changes in government policies. A structural break in credit volume can have important implications for the broader economy, including impacts on economic growth, inflation, and financial stability. This study focuses on multiple structural breaks and the relationship with the money supply of the credit volume of deposit banks from 2006 to 2022 when vital economic, financial, political, and social developments were experienced in Türkiye and the world. The Central Bank of the Republic of Türkiye provides the data used in the analysis, including the total loans provided to economic actors by deposit banks. Bai and Perron's multiple structural break test and wavelet coherence methods were used for the data analysis. As a result of the study, five structural break dates in credit volume were determined, and the reasons for these breaks were emphasized. Furthermore, wavelet coherence analysis shows that money supply and credit volume move together in the long run.
The Use of Benthic Macroinvertebrates and Insects for Evaluation of Kandola Shella (UDUS Stream) Status
Authors: Samrawi S. A. , Magami I. M. , Yelwa S. M.
Published: November 2024

Kandola Shella Stream (UDUS stream) supports significant fishing and irrigation activities for the local community’s daily routine needs. This study evaluated water quality using macroinvertebrates and aquatic insects from September 2023 to March 2024. Macroinvertebrates and Insect species were sampled, preserved and identified at the Entomology Laboratory of Usmanu Danfodiyo University, Sokoto using standard keys and manuals. Three biotic indices (%EPT, BMWP and ASPT) and one diversity index (Shannon-Weiner index) were used for water quality assessment. Statistical analysis showed significant differences in physicochemical parameters across the months (p<0.05) but not among sampling locations (p>0.05). A correlation was observed between physicochemical parameters and Macroinvertebrate abundance. The %EPT index indicated no sensitive species at any sampling location. Macroinvertebrate abundance was highest at location D (200 individuals), followed by location C (55), location B (50) and location A (22). The Insects’ result revealed highest at location A (219), followed by location B (122), location D (103) and location C (90 individuals). The study concluded that Kandola Shella stream is slightly polluted, with minimal chemical and organic pollutants concentration. The presence of pollution-tolerant species and the absence of sensitive species, therefore, suggest the need for continuous monitoring to manage and mitigate pollution, ensuring the health of this essential water resource.
Artificial Intelligence in Environmental Monitoring: Predicting and Managing Climate Change Impacts
Authors: Bianchi Olivia , Putro Herman Purwoko
Published: November 2024

Environmental monitoring has become increasingly critical as climate change continues to pose significant global challenges, impacting ecosystems, economies, and human health. Predicting and managing these impacts requires advanced technological solutions, and Artificial Intelligence (AI) has emerged as a powerful tool in this domain. This study aims to explore the integration of AI techniques, such as machine learning and deep learning, into environmental monitoring to enhance the accuracy of climate change impact predictions and improve management strategies. The methods employed include the application of Convolutional Neural Networks (CNN) for land cover classification and Long Short-Term Memory (LSTM) models for forecasting air quality levels. The results indicate that AI significantly improves prediction accuracy, with CNN achieving high performance in land classification and LSTM models providing reliable forecasts for air quality changes. The findings suggest that AI can be instrumental in transforming environmental monitoring, enabling more proactive and data-driven climate change management. Future research should focus on improving data quality, model interpretability, and expanding AI applications in various environmental contexts.
ANALYSIS OF THE RELATIONSHIP BETWEEN THE ISLAMIC SOCIAL RESPONSIBILITY AND FINANCIAL PERFORMANCE IN SHARIA BANKS IN INDONESIA AND MALAYSIA 2018-2022
Authors: Annisa Delah , Pramesti Muthia
Published: November 2024

This research discusses the influence of the Islamic Social Responsibility on financial performance in Islamic banks in Indonesia and Malaysia. This research covers five years of observation, from 2018 to 2022 using panel regression data. The independent variable used in this research is the Islamic Social Responsibility (ISR) and Islamicity Performance Ratio which consists of Profit Sharing Financing Ratio (PSR), Zakat Performance Ratio (ZPR), Equitable Distribution Ratio (EDR), and Director-employee Welfare Ratio (DER). Then the dependent variable used is the financial performance of Islamic banks which is measured using ROA. And the control variable is Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR), bank size, and Non Performing Financing (NPF). Data collected from annual reports and sustainability reports were analyzed using the Fixed Effect Model to see how ISR affect profitability in sharia banks. The research results show that ZPR and EDR have a significant effect on ROA. Meanwhile, ISR, PSR, DER, CAR, FDR, size, and NPF do not have a significant effect on ROA as a measurement of the financial performance of Islamic banks.
LIQUIDITY AND LEVERAGE: THE PERFORMANCE OF SHARIAH AND NON-SHARIAH COMPLIANT COMPANIES
Authors: Sahalani Irfan Naim , Mohd Safrie Muhammad Nabil , Ibrahim Law Nur Syufira Aisya , Md Rahisham Siti Sarah Aisyah , Jailani Aida Salina
Published: November 2024

Ratio analysis is the essential technique to learn about a company's financial health, strengths, and weaknesses. The Shariah Compliant Company (SCC) and Non-Shariah Compliant Company (NSCC) are developing very well in Malaysia. However, there have been several debates about the factors that contribute to the company's profitability that serve as a useful measure of its performance. This study aims to expand the knowledge regarding the performance of SCC and NSCC as determined by liquidity and leverage. Hence, 32 SCCs and 20 NSCCs in Bursa Malaysia were selected from the List of Shariah Compliant Securities by the Shariah Advisory Council of the Securities Commission Malaysia. The company’s quick ratio (QR) and debt ratio (DR) represent liquidity and leverage respectively, while performance is represented by return on assets (ROA) and return on equity (ROE) covering the years 2017 to 2022. This research discovered that SCC recorded greater performance than NSCC. A varying relationship exists between both dependent variable and independent variable depending on whether the company is SC or NSC. Liquidity significantly influences the performance of SCC especially based on ROA, while NSCC's performance is significantly influenced by leverage. SCC in Malaysia needs to focus more on its liquidity. As for NSCC, it shall prioritize the leverage utilized by the company. The findings of this research can be the future guidance for researchers, developing companies, and investors who want to explore more about the competitive landscape in Malaysia, particularly in the SC and NSC markets.
DIGITAL TRANSFORMATION IN ZAKAT MANAGEMENT: A BIBLIOMETRIC REVIEW ON THE APPLICATION OF BLOCKCHAIN TECHNOLOGY
Authors: Susanto Arva Athallah , Choris La Himmah il Princess , Bani Nispia Asya’ , Rizal Chairani Firstia , Oktari Marina
Published: November 2024

This bibliometric review investigates the digital transformation of zakat management through blockchain technology, highlighting its potential to enhance efficiency, transparency, and accountability within zakat institutions. The methodology employed export processes using databases like Scopus, focusing on citation, co-citation, and keyword analyses to identify trends, gaps, and future research directions, which were sorted and analyzed using the R Biblioshiny program. The findings reveal a total of 371 documents, predominantly journal articles (85.8%), underscoring a strong scholarly foundation in this area, with minimal reliance on conference papers. Key themes include blockchain, zakat, and Islamic finance, showing consistent thematic evolution. Core journals such as International Journal of Ethics and Systems and Journal of Islamic Accounting and Business Research contribute significantly, aligning with Bradford's Law classification. The study also identifies key contributors like Muneeza A and Hassan MK, whose work shapes the discourse around blockchain in Islamic finance. Conceptual analysis reveals interconnected themes such as fintech, sustainability, and digital finance, emphasizing a multidimensional discourse in the field. The thematic evolution highlights increasing interest in trust and governance, which are crucial for blockchain integration. This study provides a comprehensive understanding of current research, setting the stage for future exploration in enhancing zakat management practices through blockchain while addressing challenges like governance frameworks and standardization.
ISLAMIC FINANCIAL LITERACY AND THE INCLINATION TO USE ISLAMIC BANKS AMONG GENERATION Z IN INDONESIAN ISLAMIC UNIVERSITIES
Authors: Wuryaningsih  , Rini Safitri
Published: November 2024

This study aims to determine how Islamic financial literacy, attitudes, and subjective norms can influence the intentions of Muslim Generation Z in Indonesia. This survey study uses 558 Muslim Generation Z respondents throughout Indonesia. Data from this study were processed using SMART-PLS 4.0. The results of this study indicate that the three factors in this study, namely Islamic financial literacy, attitudes, and subjective norms, have a positive effect on the interests of Muslim Generation Z in Indonesia. In addition, this study also provides results that indicate that Islamic financial literacy cannot moderate the influence of attitudes and subjective norms on the interest in using Islamic banks. The results of this research imply further research to consider other factors that can influence the intention to use Islamic banks in terms of security, benefits, risks, and others. The results of this study imply the importance of Islamic financial literacy among Generation Z who are studying at university and for university managers to strengthen Islamic financial literacy to strengthen a better Islamic financial ecosystem in Indonesia. This study offers new insights into how Islamic financial literacy, attitudes, and subjective norms can influence the intentions of Muslim Generation Z in Indonesian Islamic Universities