bluuebunny/crossref_metadata_2025 huggingface dataset:
DIGITAL IMAGE RESTORATION USING SURF ALGORITHM
Authors: Tammineni Shanmukhaprasanthi , Rayavarapu Swaraiya Madhuri , Gottapu Sasibhushana Rao , Goswami Raj Kumar
Published: March 2024

In contemporary times, the preservation of scientific and creative endeavours often relies on the utilization of film and image archives, hence emphasizing the significance of image processing as a critical undertaking. Image inpainting refers to the process of digitally altering an image in a manner that renders the adjustments imperceptible to a viewer lacking knowledge of the original image. Image inpainting is a technique mostly employed to restore damaged regions within an image by utilizing information obtained from matching characteristics in relevant images. This process involves filling in the damaged areas and removing undesired objects. The SURF (Speeded Up Robust Feature) algorithm under consideration is partitioned into three primary phases. Firstly, the essential characteristics of the impaired image and the pertinent image are identified. In the second stage, the relationship between the damaged image and the relevant image is determined in terms of translation, scaling, and rotation. Ultimately, the destroyed area is reconstructed through the application of the inverse transformation. The quality assessment of inpainted images can be evaluated using metrics such as Structural Similarity Index (SSIM), Peak Signal-to-Noise Ratio (PSNR), and Mean Squared Error (MSE). The experimental findings provide evidence that the suggested inpainting technique is effective in terms of both speed and quality.
CORRESPONDENCE MATCHING IN 3D MODELS FOR 3D HAND FITTING
Authors: Tymkovych Maksym , Avrunin Oleg , Selivanova Karina , Kolomiiets Alona , Bednarchyk Taras , Smailova Saule
Published: March 2024

Upper limb prosthetic is an area of medical research and development that aims to restore functionality and improve the quality of life of people affected by the loss of one or both upper limbs. The development and implementation of 3D scanning tools and analysis of 3D scanning data requires the use of specialized analysis methods that ensure the achievement of the required indicators. It should take into account the impact of the model resolution on the result. This paper is devoted to the analysis of finding matches between a point cloud of a hand model and another point cloud using Gromov-Wasserstein distance. For analysis, a subset of the MANO dataset was employed, containing a substantial volume of data and serving as a representative sample of the human population. The results obtained indicate the possibility of using this approach in the processing and analysis of three-dimensional data, which serves as one of the stages of designing individualized prostheses.
SIMULATION AND COMPUTER MODELING OF BRIDGE STRUCTURES DYNAMICS USING ANSYS
Authors: Stakhova Anzhelika , Bekö Adrián
Published: March 2024

This study focuses on utilizing computer modeling and simulation techniques, specifically the ANSYS software, to analyze the dynamics of bridge structures. The primary objective was to study the vibrations of a riverbed metal bridge structure and determine their characteristics. The research involved theoretical dynamic calculations considering the design features of the bridge components and the materials used in their construction. The obtained results enabled the determination of resonance frequencies for the vibration modes. By utilizing the ANSYS software, a three-dimensional virtual model of the bridge structure was created, allowing for a detailed analysis of its dynamic behavior. The first three vibration modes of the riverbed metal bridge structure were calculated, and numerical results were obtained for six modes. The findings of this research have practical significance as they provide informed decision-making support during the construction, maintenance, and modernization of bridge structures. The study of bridge dynamics using advanced technologies contributes to enhancing the safety, reliability, and longevity of these vital infrastructure assets.
EVALUATING THE FEASIBILITY OF THERMOGRAPHIC IMAGES FOR PREDICTING BREAST TUMOR STAGE USING DCNN
Authors: Khomsi Zakaryae , El Fezazi Mohamed , Elouerghi Achraf , Bellarbi Larbi
Published: March 2024

Early-stage and advanced breast cancer represent distinct disease processes. Thus, identifying the stage of tumor is a crucial procedure for optimizing treatment efficiency. Breast thermography has demonstrated significant advancements in non-invasive tumor detection. However, the accurate determination of tumor stage based on temperature distribution represents a challenging task, primarily due to the scarcity of thermal images labeled with the stage of tumor. This work proposes a transfer learning approach based on Deep Convolutional Neural Network (DCNN) with thermal images for predicting breast tumor stage. Various tumor stage scenarios including early and advanced tumors are embedded in a 3D breast model using the Finite Element Method (FEM) available on COMSOL Multiphysics software. This allows the generation of the thermal image dataset for training the DCNN model. A detailed investigation of the hyperparameters tuning process has been conducted to select the optimal predictive model. Thus, various evaluation metrics, including accuracy, sensitivity, and specificity, are computed using the confusion matrix. The results demonstrate the DCNN model's ability to accurately predict breast tumor stage from thermographic images, with an accuracy of 98.2%, a sensitivity of 98.8%, and a specificity of 97.7%. This study indicates the promising potential of thermographic images in enhancing deep learning algorithms for the non-invasive prediction of breast tumor stage.
QUALITY INDICATORS OF DETECTION OF SIDE RADIATION SIGNALS FROM MONITOR SCREENS BY A SPECIALIZED TECHNICAL MEANS OF ENEMY INTELLIGENCE
Authors: Yevgrafov Dmytro , Yaremchuk Yurii
Published: March 2024

The problem of calculating the quality indicators of detection of side radiation signals from static images on the monitor screen by a specialized technical means of enemy intelligence is solved, which implements an asymptotically optimal compatible algorithm for detecting side radiation signals and estimating the duration of image immutability on the monitor screen. The reliability of the calculation results was confirmed by modeling detection processes in the Mathcad and Excel software environments.
ARCHITECTURAL AND STRUCTURAL AND FUNCTIONAL FEATURES OF THE ORGANIZATION OF PARALLEL-HIERARCHICAL MEMORY
Authors: Timchenko Leonid , Kokriatska Natalia , Tverdomed Volodymyr , Yepifanova Iryna , Didenko Yurii , Zhuk Dmytro , Kozyr Maksym , Shakhina Iryna
Published: March 2024

Parallel hierarchical memory (PI memory) is a new type of memory that is designed to improve the performance of parallel computing systems. PI memory is composed of two blocks: a mask RAM and a tail element RAM. The mask RAM stores the masks that are used to encode the information, while the tail element RAM stores the actual information. The address block of the PI memory is responsible for generating the physical addresses of the cells where the tail elements and their masks are stored. The address block also stores the field of addresses where the array was written and associates this field of addresses with the corresponding external address used to write the array. The proposed address block structure is able to efficiently generate the physical addresses of the cells where the tail elements and their masks are stored. The address block is also able to store the field of addresses where the array was written and associate this field of addresses with the corresponding external address used to write the array. The proposed address block structure has been implemented in a prototype PI memory. The prototype PI memory has been shown to be able to achieve significant performance improvements over traditional memory architectures. The paper will present a detailed description of the PI transformation algorithm, a description of the different modes of addressing organization that can be used in PI memory, an analysis of the efficiency of parallel-hierarchical memory structures, and a discussion of the challenges and future research directions in the field of PI memory.
ENHANCING CROP HEALTH THROUGH DIGITAL TWIN FOR DISEASE MONITORING AND NUTRIENT BALANCE
Authors: Mummaneni Sobhana , Sappa Tribhuvana Sree , Katakam Venkata Gayathri Devi
Published: March 2024

Digital Twins is a digital replica of a physical object to observe its real-time performance, gather data, and recommend corrective actions if required to enhance its performance. This fascinating technological idea is now reaching the agriculture fields to transform farming, by creating digital twins of entire farms. This initiative presents an innovative strategy to enhance crop health and yield by creating a digital twin for paddy fields. The aim is to enable early detection of nutrient deficiencies and leaf blast disease, leading to a transformation in agriculture. Creating virtual replicas of plants and fields, the digital twin harnesses real-time data and advanced analytics to transform the way agricultural systems are managed. By integrating remote sensing, data analytics, and various Internet of Things devices like pH, nitrous, potassium, and phosphorus sensors, coupled with a gateway system, the digital twin provides real-time monitoring and analysis of crop health and nutrient levels. Employing advanced machine learning algorithms, notably Convolutional Neural Networks ensures precise and early detection of nutrient deficiencies and crop diseases. This ground-breaking technology provides timely alerts and actionable insights to farmers, enabling proactive decision-making for optimal crop management. This farmland digital twin represents a transformative approach towards agricultural sustainability and enhancing productivity.
FORMATION OF HIGHLY SPECIALIZED CHATBOTS FOR ADVANCED SEARCH
Authors: Yarovyi Andrii , Kudriavtsev Dmytro
Published: March 2024

In this research, the formation of highly specialized chatbots was presented. The influence of multi-threading subject areas search was noted. The use of related subject areas in chatbot text analysing was defined. The advantages of using multiple related subject areas are noted using the example of an intelligent chatbot.
METHOD FOR CALCULATING THE INFORMATION SECURITY INDICATOR IN SOCIAL MEDIA WITH CONSIDERATION OF THE PATH DURATION BETWEEN CLIENTS
Authors: Akhramovych Volodymyr , Pepa Yuriy , Zahynei Anton , Akhramovych Vadym , Dzyuba Taras , Danylov Ihor
Published: March 2024

Heterogeneous differential dependencies of the information security indicator (HDISI) in social media (SM) were analyzed, taking into account the duration of the path between clients (UDPC). The resilience of the information security indicator system (RSIIS) was also determined. The HDISI in SM was developed based on UDPC conditions. It uses modern methods and techniques, including a non-specific method. The conditions of a fixed precondition were formed according to the time grid. This dependency provides a comprehensive explanation of how the previous transformation is replaced by the elapsed period. SM is a set of clients and their types of communication. Clients can be individuals, populations, settlements, or countries. Communication is understood as more than just the transmission and receipt of information. It also includes interaction, the exchange of knowledge and expertise, and discussion. Under the angle of mathematics, the HDISI model based on non-homogeneous differential equations (NDE) was analyzed and its transcendental study was done. The transcendental study of nonlinear HDISI models in SM showed that the characteristics of UDPC significantly affect the information security indicator (ISI) - up to one hundred percent. Phase diagrams (PDs) of ISI were studied, which indicate the highest ISI even at the maximum parameters of malicious actions. For the first time, the analysis of designed HDISI structures was carried out and numerical criteria between the capabilities of UDPC and the measures of ISI, as well as the highest ISI, were obtained, which shows the scientific content of this article.
GENETIC ALGORITHM-BASED DECISION TREE OPTIMIZATION FOR DETECTION OF DEMENTIA THROUGH MRI ANALYSIS
Authors: Anuradha Govada , Davu Harini , Karri Muthyalanaidu
Published: March 2024

Dementia is a devastating neurological disorder that affects millions of people globally, causing progressive decline in cognitive function and daily living activities. Early and precise detection of dementia is critical for optimal dementia therapy and management however, the diagnosis of dementia is often challenging due to the complexity of the disease and the wide range of symptoms that patients may exhibit. Machine learning approaches are becoming progressively more prevalent in the realm of image processing, particularly for disease prediction. These algorithms can learn to recognize distinctive characteristics and patterns that are suggestive of specific diseases by analyzing images from multiple medical imaging modalities. This paper aims to develop and optimize a decision tree algorithm for dementia detection using the OASIS dataset, which comprises a large collection of MRI images and associated clinical data. This approach involves using a genetic algorithm to optimize the decision tree model for maximum accuracy and effectiveness. The ultimate goal of the paper is to develop an effective, non-invasive diagnostic tool for early and accurate detection of dementia. The GA-based decision tree, as proposed, exhibits strong performance compared to alternative models, boasting an impressive accuracy rate of 96.67% according to experimental results.
ENERGY EFFICIENCY OF PHOTOVOLTAIC PANELS DEPENDING ON THE STEP RESOLUTION OF TRACKING SYSTEM
Authors: Płachta Kamil
Published: March 2024

The article presents an energy analysis of a 3.5 kWp photovoltaic installation placed on a two-axis tracking system, depending on resolution of step tracking system, that tracks apparent position of the Sun on the celestial sphere. Measurements were taken during July and August, months with similar solar radiation intensity. During the first month, the tracking system changed the spatial orientation of the photovoltaic panels with a frequency of 20 minutes, while in the second month the resolution of the tracking step was 120 minutes. The total energy production by the photovoltaic installation cooperating with the tracking system was 589.5 kWh and 579.85 kWh, for a tracking step resolution of 20 and 120 minutes, respectively. The monthly difference between the two analysed periods does not exceed 1.7%. However, when analysing the days with the highest energy production – exceeding 28 kWh/day, the photovoltaic installation which changed its spatial orientation with greater frequency produced 309.83 kWh, and with a smaller one 259.88 kWh. In the case of sunny, cloudless days, the difference in the efficiency of both solutions is equal to 19%. During days with lower solar radiation, the efficiency of the photovoltaic installations was similar. It can be concluded that increasing the step resolution of the tracking system increases energy production on sunny, cloudless days. It should be taken into account that increasing the frequency of changing the position of photovoltaic panels increased energy consumption by tracker motors from 2.48 kWh to 3.75 kWh, which constitutes 13.2% of the energy gain obtained over the entire tested period, but less than 1% during days with the highest amount of solar radiation.
A COMPREHENSIVE STUDY: INTRACRANIAL ANEURYSM DETECTION VIA VGG16-DENSENET HYBRID DEEP LEARNING ON DSA IMAGES
Authors: Mummaneni Sobhana , Ravi Sasi Tilak , Bodedla Jashwanth , Vemulapalli Sree Ram , Jagathapurao Gnana Sri Kowsik Varma
Published: March 2024

An intracranial aneurysm is a swelling in a weak area of a brain artery. The main cause of aneurysm is high blood pressure, smoking, and head injury. A ruptured aneurysm is a serious medical emergency that can lead to coma and then death. A digital subtraction angiogram (DSA) is used to detect a brain aneurysm. A neurosurgeon carefully examines the scan to find the exact location of the aneurysm. A hybrid model has been proposed to detect these aneurysms accurately and quickly. Visual Geometry Group 16 (VGG16) and DenseNet are two deep-learning architectures used for image classification. Ensembling both models opens the possibility of using diversity in a robust and stable feature extraction. The model results assist in identifying the location of aneurysms, which are much less prone to false positives or false negatives. This integration of a deep learning-based architecture into medical practice holds great promise for the timely and accurate detection of aneurysms. The study encompasses 1654 DSA images from distinct patients, partitioned into 70% for training (1157 images) and 30% for testing (496 images). The ensembled model manifests an impressive accuracy of 95.38%, outperforming the respective accuracies of VGG16 (94.38%) and DenseNet (93.57%). Additionally, the ensembled model achieves a recall value of 0.8657, indicating its ability to correctly identify approximately 86.57% of true aneurysm cases out of all actual positive cases present in the dataset. Furthermore, when considering DenseNet individually, it attains a recall value of 0.8209, while VGG16 attains a recall value of 0.8642. These values demonstrate the sensitivity of each model to detecting aneurysms, with the ensemble model showcasing superior performance compared to its individual components.
RUNNING A WORKFLOW WITHOUT WORKFLOWS: A BASIC ALGORITHM FOR DYNAMICALLY CONSTRUCTING AND TRAVERSING AN IMPLIED DIRECTED ACYCLIC GRAPH IN A NON-DETERMINISTIC ENVIRONMENT
Authors: Smilianets Fedir , Finogenov Oleksii
Published: March 2024

This paper introduces a novel algorithm for dynamically constructing and traversing Directed Acyclic Graphs (DAGs) in workflow systems, particularly targeting distributed computation and data processing domains. Traditional workflow management systems rely on explicitly defined, rigid DAGs, which can be cumbersome to maintain, especially in response to frequent changes or updates in the system. Our proposed algorithm circumvents the need for explicit DAG construction, instead opting for a dynamic approach that iteratively builds and executes the workflow based on available data and operations, through a combination of entities like Data Kinds, Operators, and Data Units, the algorithm implicitly forms a DAG, thereby simplifying the process of workflow management. We demonstrate the algorithm’s functionality and assess its performance through a series of tests in a simulated environment. The paper discusses the implications of this approach, especially focusing on cycle avoidance and computational complexity, and suggests future enhancements and potential applications.
Radiographic Assessment Regarding the Pattern of Third Molar Impaction and its Association with Gender in the Population of Islamabad
Authors: Nasim Hina , Hyder Mawra , Mujtaba Anosha , Mansoor Afsheen , Afridi Bushra , Hyder Dr. Arsalan
Published: March 2024

Abstract

Objective: To analyze and document the gender-specific incidence of impacted third molars and elucidate the specific patterns associated with impacted third molars.

Methodology: This retrospective cross-sectional study analyzed orthopantomograms (OPG) data from 278 patients, covering a total of 445 impacted third molars. A convenient sampling technique was used and the study was completed in three months from September 2023 and December 2023, Inclusion criteria: OPGs of individuals aged 25 years or older with fully formed third molar roots, Exclusion criteria: OPGs of individuals younger than 25, with craniofacial anomalies, prior orthodontic treatment, erupted third molars, or incomplete root formation in third molars.

Results: Both males and females were almost equal in number. The majority 73.2% of OPG showed mandibular third molar impaction while 26.8% showed maxillary third molar impaction. In the maxillary arch, the distoangular type of impaction was observed in the majority, accounting for 48.7%. In the mandibular arch, mesioangular impaction prevailed, comprising 41.7%. In the maxillary arch, a statistically significant correlation (p=0.006) was found between gender and impaction type, with females exhibiting a distinct and more prevalent impaction pattern than males. In the mandibular arch, there was no statistically significant association between gender and impaction type (p=0.23).

Conclusion: In conclusion, our study reveals noteworthy gender variations in the prevalence and types of third molar impactions. Mandibular third molars exhibit a higher prevalence than maxillary counterparts, with mesioangular impaction prevailing in the mandibular arch and distoangular impaction in the maxillary arch.
VARIABILITY ANALYSIS OF SIGNIFICANT WAVE HEIGHTS AND WIND WAVES IN RIAU ARCHIPELAGO SEA PART ALKI 1
Authors: Napitupulu Gandhi , Tarya Ayi , Pratama I Gede Merta Yoga , Winardhie Ignatius Sonny
Published: March 2024

The Riau Archipelago Sea is part of the Indonesian Archipelago Sea Lane (ALKI) 1, with a very high intensity of crossing ships. Analysis of surface wind speed and significant wave height is the most important for the safety and performance of offshore shipping. This research aims to study wave characteristics and wind speed by identifying the main factors that affect significant wave height  and surface wind speed. Dominant factors that affect significant wave height and wind speed are needed to decide on the safest path and the best time before crossing in ALKI-1. Temporal and spatial analysis of the seasonal variability of significant wave height and wind speed using ECMWF data for 18 years. The data used are significant wave height data and wind speed every 6 hours during the period 2000 – 2018. Three observation points are used for temporal analysis, it is found that significant wave height and wind speed are influenced by two main factors, namely MJO and Monsoon. Maximum significant wave height and wind speed that occurs in the SON period for points 3 and the DJF period at points 1 and 2. MJO affects directly from phases one to eight for observation points 1, 2, and 3. The 4, 7, and 8 MJO phases affect the value of wave height and wave speed significantly, and the 1, 2, and 5 MJO phases affect wave height and wind speed weakly.

Keywords: ALKI 1, MJO, MJO phase, Monsoon, Significant wave height, Wind speed.
UJI POTENSI ANTI KANKER DARI EKSTRAK ALGA HIJAU Halimeda sp DAN ALGA COKLAT Padina sp DENGAN METODE BRIME SHRIMP LETHALITY TEST TERHADAP LARVA UDANG Artemia salina leach
Authors: Kawung Nickson J. , Rompas Rizald M. , Rumampuk Natalie D. , Sumangando Adolfina , Potalangi Nerni O.
Published: March 2024

Green Algae Halimeda sp. Brown algae Padina sp. are two types of marine biota that contain secondary metabolites and are beneficial in the health sector such as anticancer. Bioactive compounds suspected of having anti-cancer activity were tested for activity by means of a toxicity test. The purpose of this study is to test the biotoxicity of Green Algae Halimeda sp and Brown Algae Padina sp to shrimp larvae (Artemia salina Leach).  Knowing the toxicity value (LC50) of Green Halimeda sp and Brown algae Padina sp. The research method used is the Brime Shrimp Lethality Test method. Algae samples were taken in the waters of this study Makupa Village. The activity test was carried out in the laboratory of the Biotechnology and Marine Farmasetical, Faculty of Fisheries and Marine Science Sam Ratulangi University. Probit and regression analysis taken to analyte the data. The results of the probit analysis on the biotoxicity of bioactive compounds from Halimeda sp had an LC50 value of 67.87 mg/l and Padina sp 12.49 mg/l. These data indicate that the bioactive compounds from Padina sp are more toxic than Halimeda sp. Bioactive compounds from Padina sp algae can be developed as anticancer raw materials.

Keywords: anticancer, Halimeda, Padina, Artemia salina Leach, bioactive compound

ABSTRAK

Alga Hijau Halimeda sp dan Alga Coklat Padina sp merupakan biota laut yang memiliki metabolit sekunder yang bermanfaat dalam bidang farmasi terutama bahan baku obat anti kanker. Senyawa bioaktif yang diduga memiliki aktivitas anti kanker terlebih dahulu dilakukan pengujian aktivitas dengan cara uji toksisitas. Metode Brine Shrimp Lethality Test. Tujuan penelitian ini yaitu uji aktivitas anti kanker dari ekstrak kasar Halimeda sp dan Padina sp terhadap larva udang Artemia salina L dengan menggunakan metode Metode Brine Shrimp Lethality Test. Sampel alga di ambil di Perairan Desa Makupa. Uji aktivitas dilakukan di Laboratorium Bioteknologi dan Farmasetika Laut Fakultas Perikanan dan Ilmu Kelautan Unsrat. Konsentrasi uji menggunakan 10, 50, 100, 250 dan 500, ppm, dengan terlebih dahulu membuat larutan induk 1000 ppm. Analisis data menggunakan analisis probit untuk menentukan nilai toksisitas LC50. Hasil yang diperoleh menunjukan bahwa kenaikan konsentrasi diikuti dengan kenaikan jumlah mortalitas hewan uji dimana Halimeda sp 56% dan Padina sp 65%. Hasil analisis probit diperoleh nilai LC50 67,87 mg/l untuk Halimeda sp dan Padina sp 12.45 mg/l. Berdasarkan data tersebut senyawa bioaktif dari Padina lebih toksik dibandingkan dengan Halimeda sp, sehingga dapat disimpulkan kandungan senyawa bioaktif dari Padina sp berpotensi untuk dikembangkan menjadi bahan baku obat anti kanker.

Kata kunci: anti kanker, Halimeda, Padina, Artemia salina Leach, senyawa bioaktif
Perilaku Ekonomi Islami Perspektif Filsafat Sosial
Authors: Rozi Muhammad Fachrur
Published: March 2024

This study seeks to provide a social philosophical (sociological) perspective on economic behaviour, moving past paradigmatic-methodological issues pertaining to an atomistic-individualistic pattern that sees human existence as merely an economic creature (homo economicus). This study obtains a philosophical explanation of related themes through descriptive-analytic methods. The data was inventoried from several reading sources (libraries) and analysed inductively to coherently produce a new paradigm regarding Islamic economic behaviour, which is conceptualised as 'amal iqtishâdiy, where this concept is read in the frame of social interaction, which is conceptualised as shilat al-rahim. This idea shows a change in perspective in understanding human existence from an individual one to an interactional one. Methodologically, there is a change from methodological individualism to methodological interactionism.
Nilai Ekonomi Syariah sebagai Dasar Strategi Pemberdayaan Masyarakat
Authors: Fuaidi Isyrokh
Published: March 2024

Discourse-related community empowerment remains increasingly important issue to which various concerning parties have always given serius attention in this regard including government, scholars, practitioners and the public in general. All strives to present an ideal concept regarding theories, insights, policies and implementations as empowerment strategy in building a society. The interesting aspect that still needs to be addressed in the discourse is related to the concept of empowerment strategies elaborated through Shariah economic values that will complement the spaces of community development atmospheres. This research uses a descriptive qualitative method with a literature study approach sourced from a review of journals and books that are relevant in the context of community empowerment. The results concludes that the implementation of community empowerment can be effectively implemented by applying the principles and values of sharia economics approach such as increasing professionalism (al-itqan) of human resources, promoting entrepreneurial culture, local wisdom-based management and strengthening philanthropy-based programs. By applying or at least promoting these values in order to become a shared consciousness among society, the community empowerment programs will be more effectively implemented.
Pengaruh Inflasi, Nilai Tukar, dan Produk Domestik Bruto terhadap Indeks Harga Saham di Jakarta Islamic Index
Authors: Widyaningtias Ayu , Mawaddah Romdhonah Zahrotul , Amaroh Siti
Published: March 2024

The purpose of this research is to find out whether inflation, exchange rates, and PDB affect the JII stock price index. This research method is quantitative. Data obtained from secondary data in the form of a time series of 32 samples. This study uses Eviews version 13 in data processing. The results of this study on the t test stated that inflation did not significantly affect the JII stock price index based on t count < t table (1.497416 <2.048407) and the number of probs. (0.1463 > 0.05). The exchange rate has no significant relationship to the JII index as shown by t count < t table (-5.675294 < 2.048407 and total prob. (0.000 < 0.05). Meanwhile, PDB has a significant effect on the JII stock price index from the t count > t table (5.628365 > 2.048407) and the number of probs (0.000 <0.05). Whereas in the simultaneous test the variables inflation, exchange rate, and PDB affect the JII stock price index as evidenced by f count > f table (12.511175 > 2.946685) and a significance level (0.000 <0.05).
Implementasi Prinsip Kehati-hatian dalam Penyaluran Pembiayaan di Bank Syariah
Authors: Rizki Ima Kurnia , Fatekhah Putri Surya , Ali Maslihan Mohammad
Published: March 2024

Islamic banking has the main function, namely as an institution that collects funds from the public in the form of deposits and distributes them back to the community in the form of financing (financial intermediary instution). The function of financing distribution carried out by Islamic banking to the public certainly has risks that require the implementation of prudential principles in these activities. The application of prudential principles carried out by Islamic banks is an obligation in order to protect public funds entrusted to Islamic banks. This research was conducted using descriptive qualitative methods to determine the implementation of prudential principles in financing analysis at Islamic banks. Data in this study was obtained through documentation from book sources, research journals and other related documents. The results of this study show that the application of the precautionary principle in financing analysis at Islamic banks can be carried out through the analysis of the 5C, 7P, 3R and 1S principles. This analysis is needed as a screening effort in the distribution of financing to the community.
Обґрунтування вибору полігонів, визначення їх критеріїв і параметрів для проведення досліджень з оцінювання вуглеводневого потенціалу надр шляхом комбінування геолого-геофізичної та аерокосмічної інформації
Authors: Азімов Олександр Тельманович
Published: March 2024

У статті охарактеризовані вимоги до наземних калібрувально-завіркових полігонів і тестових ділянок в їхніх межах, а також до деяких особливостей родовищ вуглеводнів, що розташовані на їхніх площах. Інформація стосовно них необхідна для завірки (калібрування) даних дистанційного зондування Землі та виконання досліджень з аналізу нафтогазового потенціалу територій шляхом комплексування (інтеграції) матеріалів аерокосмічних та геолого-геофізичних знімань. На прикладі Левенцівського газоконденсатного родовища та прилеглих ділянок Дніпровсько-Донецької западини наведені складові фактографічної частини дистанційної основи території досліджень, що прив’язані до базової системи координат, проаналізована їх інформативність для виконання проблемно орієнтованого дешифрування. Подані основні відомості про ландшафтно-геологічні особливості району родовища та його газоносність. Зокрема, за матеріалами опрацювання відповідних паспортів проаналізовані та представлені в табличній формі результати випробування 12 свердловин глибокого буріння на родовищі з наявними географічними координатами. Зроблено висновок про поширення на площі полігона неоднорідних за своїми властивостями утворень в осадочному чохлі, що є підставою диференційовано оцінювати й ступінь нафтогазоносності його порід. Сформульовано перелік необхідних для виконання подальших досліджень апріорних геологічних, геофізичних, геохімічних та інших параметризованих даних, які характеризують різні атрибутивні властивості реального геологічного середовища, зокрема, й пов’язані з його нафтогазоносністю.
Оперативний супутниковий геомоніторинг наслідків руйнування греблі Каховської гідроелектростанції
Authors: Ліщенко Людмила Павлівна , Філіпович Володимир Євгенович
Published: March 2024

Внаслідок військових дій і підриву греблі Каховського водосховища територія Нижнього Придніпров’я опинилася у надзвичайній екологічної ситуації, що привело до раптових неочікуваних швидкоплинних змін у природно-технічній системі регіону, пов’язаних в першу чергу, з дефіцитом водозабезпечення в одному випадку та затопленням в іншому. В своїй більшості територія Лівобережжя і днище водосховище недоступне для наземних спостережень і актуальним є використання супутникових даних для оперативного моніторингу екологічного стану. За даними супутників Landsat 8,9 проаналізовано масштаби затоплення і процеси осушення певних відрізків долини р.Дніпро та розвиток цих подій і їхні наслідки у часі. Проведено аналіз стану поверхні за показниками водного індексу, вегетаційного індексу, температури поверхні та класифікування земного покриву осушеного днища водосховища за 5 типами поверхні. За результатами досліджень визначені площі затоплення і підтоплення території через три дні після підриву дамби, які склали 620,3 км2. Проаналізована динаміка осушення днища водосховища за 4 місяці після сходження води. Площа осушення на досліджуваній ділянці, що колись займав відомий Великий Луг склала приблизно 75%. За даними супутникового моніторингу в зоні осушення водосховища накопичені донні відклади, але не зважаючи на 65 річний період експлуатації водосховища, які не змогли повністю замулити ні русло Дніпра, ні окремі його протоки та стариці. Більшість гідрографічних об’єктів долини Дніпра відновлюються в тих же межах і обрисах. Частина колишньої високої заплави і першої надзаплавної тераси вийшла з води першою і вже заростає рослинністю. Це стосується також затоплених гирлових частин балок. Заболочені низинні ділянки заплави так і лишаються заболоченими, в них накопичений значний донний осад у вигляді мулів та сапропелю, потужність та хімічний склад яких потрібно досліджувати. Прибережні (присхилові) частини збагачені делювіально-ілювіальними відкладами є більш родючими, вони перші покрились паростками деревної і трав’яної рослинності, щільність якої дуже висока за показниками NDVI. Сформувались нові прируслові вали, коси, банки із річкової дрейсени (мушлі) та алювіального піску, які, вочевидь, можуть перевідкладатися, змінювати абриси під час повеней та інтенсивних попусків води з верхніх водосховищ. Мулисті ґрунти, що висихають та розтріскуються потрібують як найшвидшого закріплення рослинністю і цей процес відбувається. Заболочені низинні ділянки заплави також заростають рослинністю, але за рахунок евтрофікації непроточних озер і стариць і вже через 3 місяці після оголення дна повністю віднесені до класу водно-болотних поверхонь. Запропонована методика оперативного дистанційного аналізу геоекологічного стану територій порушених в наслідок руйнації великих гідротехнічних споруд пройшла успішну адаптацію і може бути застосована як базова при подібних ситуаціях.
Building Adjectives in light of Domains Theory
Authors: Raghad Fahmi Aajami
Published: March 2024

يحتاج المتعلمون العراقيون إلى تعزيز كفاءتهم في الكتابة. تتطلب الكتابة التطوير المستمر (زسوزسي، 2017). يعد إتقان استخدام الصفات في اللغة الإنجليزية أمرًا مهمًا لأنه يوضح الموضوع المستهدف. تلعب الصفات دورًا مهمًا في جعل الجمل أكثر وضوحًا. وبالأستناد إلى نظرية المجال لانجاكر (1987)، أجرت الباحثة دراسة تجريبية شملت 92 طالبة من جامعة بغداد، كلية التربية للبنات، قسم اللغة الإنجليزية. الهدف من الدراسة هو تحسين مهارات الكتابة من خلال تحسين استخدام الصفة. تم جمع البيانات الكمية من خلال اختبارين متميزين - أحدهما تم إجراؤه في بداية التجربة والآخر عند نهايتها. تم الحصول على البيانات النوعية من خلال الاستبيانات والملاحظات ومناقشات مجموعات التركيز. تم تحليل البيانات الكمية بدقة باستخدام المحرر الإحصائي SPSS وورقة Excel. أشارت النتائج إلى أن إتقان استخدام الصفات يسهم في تعزيز وضوح الكتابة لدى المشاركين، ويعزز الدقة في تصوير الأحداث والأفراد والمواقع، ويمكنهم من تفصيل التفاصيل من خلال الاستفادة من المعاني المترابطة.
Analisis Kohesi Leksikal Lirik Lagu Mauliate Ma Inang : Kajian Wacana Struktur
Authors: Saragi Mery Grace Jenita , Siallagan Intan Putri , Pasaribu Niken Kirey , Sinulingga Jekmen
Published: March 2024

Dalam artikel ini akan membahas tentang analisis wacana struktural yang terdapat pada sebuah lagu berbahasa Batak Toba dengan judul Mauliate Ma Inang yang diciptakan oleh seorang musisi Batak bernama Tagor Tampubolon. Lagu tersebut kemudian dibawakan dan dipopulerkan oleh seorang penyanyi perempuan berdarah batak yakni Rani Simbolon. Lagu ini bercerita tentang ungkapan terima kasih anak kepada ayah dan ibunya atas segala pengorbanan yang diberikan demi kesuksesan anak-anaknya. Analisis wacana dalam lagu ini berfokus pada pembahasan untuk menetapkan kohesi-kohesi leksikal apa saja yang terkandung dalam lagu Batak Mauliate Ma Inang dengan menggunakan metode penelitian kulitatif deskriptif dengan data bersumber dari YouTube. Dalam menganalisis  juga menyertakan pendapat seorang ahli yakni Sumarlan. Menurut Sumarlan (2010:55-70), membagi  kohesi leksikal atas beberapa bagian, yaitu: repetisi (pengulangan), sinonim (persamaan), antonim (lawan kata), hiponim, dan ekuivalensi (kesepadanan). Hasil dari penelitian ini ditemukan adanya kohesi leksikal yaitu repetisi yang terdiri dari repetisi tautotes, repetisi epistrofa, dan repetisi utuh/penuh. Repetisi tautotes terdapat pada kalimat Ditaon ho do udan lasni ari  dan Lao manomu ari na naeng ro. Repetisi epistrofa terdapat pada kalimat Dang boi tarbalos au dan kalimat Nang sipata salah au. Repetisi utuh terdapat pada kalimat  Mauliate ma inang dan Mauliate Ma Amang, sinonim (persamaan) pada kata dainang bersinonim dengan inang; kata anak bersinonim dengan kata gelleng, antonim (lawan kata) pada kata udan >< lasni ari, inang><amang, hiponim pada kata anak, gelleng, inang, amang, dan ekuivalensi (kesepadanan) pada kata gellengmi dan gellengmon.
Upacara Adat Kematian Cawir Metua Batak Karo : Kajian Wacana Kritis
Authors: Natasya Sarah Nathasia Br Tarigan , Sekali Emmya Kristina Karo , Aritonang Rebecca Saulina , Sinulingga Jekmen
Published: March 2024

Artikel mengangkat wacana suatu tradisi yang berjudul  “ Upacara adat kematian Cawir metua batak karo" untuk dianalisis dalam wacana secara kritis. Rumusan masalah yang diteliti ini yaitu (1) bagaimana pihak keluarga Menjalankan upacara adat kematian Cawir Metua ? , (2) perubahan apa saja yang terdapat didalam upacara adat kematian cawir metua? , (3) faktor apa saja yang mempengaruhi perubahan upacara kematian adat cawir metua? dan (4) bagaimana modal sosial didalam upacara kematian cawir metua?. Metode yang digunakan didalam tulisan ini yauti metode kualitatif. Sumber data yang diperoleh melalui sosial media. Tehnik pengumpulan data ialah dengan menyimak dan mencatat data melalui sumber internet. Hasil penelitian memaparkan berdasarkan analisis pada Upacara kematian adat Cawir Metua secara analisisi wacana kritis. Yang disebut cawir metua ialah yang sudah tiada, dan bisa juga disebut semua anak-anaknya sudah menikah (berkeluarga) serta telah memiliki cucu dari anak laki-laki dan perempuannya. Cawir Metua adaalah tingkat upacara adat kematian yang didambakan pada setiap masyarakat etnik Batak karo karena dapat dikatakan tanggung jawabnya di dunia ini sudah selesai guna mendidik anak-anaknya sampai semua anak-anaknya berkeluarga. Masyarakat Karo melaksanaan upacara adat kematian cawir metua sudah menjadi tradisi adat-istiadat turun temurun yang dilakukan bagi kerabat yang sudah meninggal apalagi sudah berada di fase  Cawir metua.
Wacana Durhaka pada Legenda Lau Kawar Kajian Analisis Wacana Kritis oleh Teun A. Van Dijk
Authors: Tarigan Adam Wijaya , Silaban Joyce , Simamora Eveline , Sinulingga Jekmen
Published: March 2024

Tujuan dari penelitian ini adalah untuk menunjukkan makna durhaka dari legenda Lau Kawar. Selain itu peneliti menggunakan analisis wacana kritis dengan menggunakan metode AWK oleh Teun A. Van Dijk, yang terdiri dari tiga analisis, yaituanalisis teks, analisis kognisi, dan analisis sosial. Penelitian ini menggunakan pendekatan kualitatif dengan metode analisis wacana kritis Teun A. Van Dijk. Subyek penelitian ini adalah legenda Danau Lau Kawar. Teknik pengumpulan data dilakukan dengan membaca artikel atau cerita legenda, mengklasifikasikan wacana dan menganalisis informasi yang tersedia.Wacana durhaka dalam legenda Lau Kawar memperlihatkan analisis tekstualyang maksudnya wacana durhaka akibat dari perlakuan atau ucapan yang tidak pantas sehingga melukai dan menyakiti perasaan orang tua sang anak. Terkhusus ibu, yang membesarkan, mendidik dan melahirkan seorang anak ke dunia. Seorang anak tidaklah boleh ingkar dengan peraturan atau perintah yang sudah di ikatkan dengan janji terhadap orang tuanya, sehingga tidak mnyakiti perasaan orang tuanya, seperti anak dalam legenda Lau Kawar tersebut. Juga pada analisis kognisi hasil dugaan berasal dari suku Karo, karena legenda Lau Kawar berasal dari Kabupaten Karo, Sumatera Utara tepatnya di Desa Kutagugung.Masyarakat suku Karo juga percaya bahwa roh-roh nenek moyang, harus di hormati supaya mereka memberi kebaikan untuk keluarga yang masih hidup di dunia. Jika mengabaikan atau tidak menghormati roh-roh nenek moyang maka,roh-roh nenek moyang akan menghadirkan bencana kepada manusia tersebut. Analisis sosial memperlihatkan bahwa wacana durhaka pada masyarakat Karo zaman dahulu melalui legenda Lau Kawar sebagai bentuk ketakutan jika melanggar dan ingkar dengan perintah orang tua, kelak akan mendapatkan bala dari sang pencipta.Pada masa kini sudah direvitalisasi menjadi norma kesusilaan
ANALISIS WACANA DESKRIPTIF DALAM UPACARA MAMONGOTI BAGAS (MEMASUKI RUMAH BARU) MASYARAKAT BATAK TOBA
Authors: Hutagalung Irfan , Siagian Samuel Alexander , Sitanggang Johanes , Sinulingga Jekmen
Published: March 2024

Penelitiani inii membahasi tentangi tradisii lisani mamongotii bagasi (memasukii rumahi baru)i dalami masyarakati Bataki Toba.i Teorii yangi digunakani adalahi teorii Teks,i Koteksi dani Konteksi dani Kearifani Lokal.i Metodei yangi digunakani adalahi metodei deskriptifi kualitatif.i Datanyai adalahi serangkaiani acarai memasukii rumahi barui masyarakati Bataki Toba.i Hasilnyai menunjukkani bahwai teksi dalami acarai memasukii rumahi barui dalami masyarakati Bataki Tobai memilikii maknai pembentukani hubungani sosiali yangi baru.i Koteksi mengandungi unsuri prosemiki dimanai adai jedai diantarai penutur,i sehinggai kitai tahui apai posisii seseorangi dalami acarai memasukii rumahi barui dalami masyarakati Bataki Toba.i Konteksi yangi terdapati adalahi konteksi situasi,i sosiali dani tempat.i Acarai memasukii rumahi barui mengandungi tigai kearifani lokal,i yaitui ucapani syukur,i kerukunani dani kedamaian,i dani pedulii lingkungan.i Darii pembahasani tersebut,i dapati disimpulkani bahwai tradisii memasukii rumahi barui dalami masyarakati Bataki Tobai mengandungi kearifani lokali yangi harusi dijagai dani dilestarikani sebagaii tradisii lisani masyarakati Bataki Toba.
Integrasi Bahan Ajar Dalam Pengembangan Literasi Keuangan Pada Mahasiswa
Authors: Astuti Ratna Fitri , Permatasari Indah , Anisa Nur
Published: March 2024

Mahasiswa lebih banyak memiliki literasi keuangan yang bersumber dari media sosial dan juga bacaan lain di internet secara bebas yang tidak diketahui kebenarannya. Literasi keuangan mahasiswa yang tepat salah satunya dapat diasah melalui pemahaman lembaga keuangan yang digunakan dalam kehidupan masyarakat, sehingga mata kuliah bank dan lembaga keuangan bukan bank menjadi salah satu sumber ilmu untuk meningkatkan literasi keuangan mahasiswa. Penelitian dilakukan dengan menggunakan metode action research (penelitian tindakan), penelitian dilakukan pada 74 mahasiswa. Tahapan penelitian tindakan yang dilakukan adalah model spiral dialektik dengan empat langkah antara lain identifikasi masalah, pengumpulan data, analisis dan interpretasi data serta perencanaan Tindakan. literasi keuangan yang dimiliki mahasiswa program studi Pendidikan Ekonomi tersebar pada 3 kategori. Sebanyak 4,05% atau 3 mahasiswa memiliki literasi keuangan pada tingkat cukup baik, 40,54% atau 30 mahasiswa pada tingkat baik dan 55,41% atau 41 pada tingkat sangat baik. Keadaan tersebut menggambarkan bahwa sebagian besar mahasiswa telah mengenal pengetahuan dasar yang dibutuhkan dalam mengelola keuangan yang dimiliki. Ketersediaan bahan ajar yang tepat dirasakan manfaatnya bagi mahasiswa dalam menambah wawasan lembaga keuangan yang tersedia, sehingga mahasiswa dapat memanfaatkan lembaga keuangan yang tepat untuk mengelola keuangannya.
ANALISIS GERAKAN LITERASI SEKOLAH MELALUI POJOK BACA PADA PROGRAM KAMPUS MENGAJAR DI SDN 2 PECANGAAN WETAN
Authors: Khan Sinta Jay , Zumrotun Erna , Widiyono Aan
Published: March 2024

Literasi adalah keterampilan penting yang harus dikuasai oleh setiap individu dalam era globalisasi ini. Upaya untuk meningkatkan keterampilan literasi di sekolah Kementerian Pendidikan dan Kebudayaan mengembangkan kegiatan Gerakan Literasi Sekolah (GLS). Penelitian ini bertujuan untuk menganalisis bagaimana implementasi pojok baca dalam Program Kampus Mengajar di SDN 2 Pecangaan Wetan dapat berkontribusi dalam meningkatkan literasi peserta didik. Penelitian ini menggunakan metode deskriptif kualitatif. Instrument yang digunakan dalam penelitian ini, diantaranya: observasi, wawancara, dokumentasi, penyebaran kuesioner di kelas 5, dan pre-test dan post-test AKM Kelas 5. Gerakan literasi sekolah di SDN 2 Pecangaan melalui 3 tahap yaitu, tahap pembiasaan, tahap pengembangan, dan tahap pembelajaran. Dengan program Liner (Literacy Corner) yang ditata dan didekorasi semenarik mungkin dan berbagai koleksi buku anak yang menarik. Kemampuan literasi dan numerasi peserta didik dapat meningkat dengan upaya pembiasan membaca yang dibangun sejak dini serta menciptakan lingkungan belajar yang kondusif.
Penggunaan Kalimat Simpleks dan Kompleks dalam Teks Berita Peserta Didik Kelas XI-1 SMA Negeri Balikpapan
Authors: Musdolifah Ari , Istianingrum Rika , Damaryakti Pranawengrum
Published: March 2024

Kalimat adalah rangkaian kata-kata yang memuat subjek, predikat, dan intonasi final. Kalimat dibagi menjadi dua, yaitu kalimat simpleks dan kompleks. Kalimat simpleks adalah kalimat yang memiliki satu aksi/peristiwa dan satu struktur kalimat. Kalimat kompleks adalah kalimat yang memiliki dua atau lebih peristiwa/aksi. Penelitian ini bertujuan untuk mendeskripsikan penggunaan kalimat simpleks dan kompleks dalam teks berita peserta didik kelas XI-1 SMA Negeri 8 Balikpapan. Jenis penelitian ini adalah kualitatif. Data penelitian ini adalah kalimat dalam teks berita peserta didik, sedangkan sumber datanya adalah 5 teks berita peserta didik kelas XI-1 SMA Negeri 8 Balikpapan. Teknik pengumpulan data menggunakan teknik simak dan catat. Teknik keabsahan menggunakan triangulasi teknik dan ketekunan. Teknik analisis data menggunakan metode agih dan model interactive analysis Miles and Huberman. Hasil penelitian ini menunjukkan penggunaan kalimat simpleks dan kompleks dalam 5 teks berita. Jumlah kalimat simpleks dalam 5 teks berita adalah 12, sedangkan jumlah kalimat kompleks parataktik adalah 4.

Kata kunci: kalimat, kalimat simpleks, kalimat kompleks