bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of contrast administration and CT reconstruction plane on Hounsfield units for assessing underlying bone quality in the lumbar spine
Authors: Hamouda Abdelrahman M. , Pennington Zach , Astudillo Potes Maria , Shafi Mahnoor , Mikula Anthony L. , Lakomkin Nikita , Martini Michael L. , Bydon Mohamad , Kennel Kurt A. , Drake Matthew T. , Freedman Brett A. , Sebastian Arjun S. , Nassr Ahmad , Fogelson Jeremy L. , Elder Benjamin D.
Published: December 2024

OBJECTIVE

Hounsfield units (HUs) may better predict biomechanical complications of instrumented fusion than conventional bone quality measures. Typically, noncontrast axial slices are used. This study aims to address the influence of reconstruction plane and contrast administration on measured HUs in patients undergoing lumbar spine imaging.

METHODS

Patients without prior spine surgery, infection, or tumor were identified for 3 groups: 1) 150 patients with high-resolution noncontrast lumbar CT, 2) 109 patients with noncontrast and contrast-enhanced lumbar CT, and 3) 100 patients with noncontrast lumbar CT and lumbar CT myelograms. Noncontrast HU measures in group 1 were compared between axial, sagittal, and coronal reconstructions. HU measures for groups 2 and 3 were compared on axial slice averages. HU measures between groups were compared using the Wilcoxon signed-rank test to investigate the presence of a statistically significant difference between groups (α = 0.05). Linear regression was also used to determine the degree of correlation between HU measures on noncontrast axial CT slices and HU measures on other sequences.

RESULTS

The mean patient age was 58.8 ± 15.9 years for group 1 (54.0% male), 65.5 ± 15.9 years for group 2 (61.5% male), and 65.2 ± 14.2 years (53.5% male) for group 3. Comparison of HU measures in group 1 showed significant differences across measurement modalities with the exception of axial average versus coronal average measures (p = 0.257) and sagittal average versus midsagittal measures (p = 0.726). There were significant differences in average axial HUs for each vertebral body between contrast and noncontrast lumbar CT and between CT myelography and noncontrast CT. Linear regression analysis demonstrated an extremely high correlation between measures for all methodologies (r2 = 0.950–0.986, all p < 0.001), and between contrast-enhanced and noncontrast studies (r2 = 0.870, p < 0.001). Measurements on CT myelography were significantly correlated with those in noncontrast studies, although to a lesser degree (r2 = 0.745, p < 0.001).

CONCLUSIONS

HU measures on noncontrast CT appear similar across multiple different planes, suggesting that a simpler methodology such as single-slice measurement on midsagittal reconstruction may allow for more rapid assessment of underlying bone quality. Consistent with prior work, contrast-enhanced CT sequences appear to reliably mirror underlying bone quality, although CT myelogram measures may vary in a more unpredictable way that precludes their use to interpret underlying bone quality. HU measures on contrast-enhanced studies are on average greater, suggesting the need for higher cutoff values.
Emergence of Computed Tomography Angiography in Evaluation and Management of Diverse Coronary Artery Anomalies: A Single Center Registry
Authors: Raval Abhishek , Rawal Jayesh , Prajapati Jayesh , Rana Yashpal , Joshi Hasit , Madan Tarun
Published: December 2024

BACKGROUND
This registry compared the findings of different modalities in patients showing Coronary Artery Anomalies (CAA) to determine the usefulness of Multi-detector Computed Tomography Angiography (MDCTA).

METHODS
A retrospective review of patients who underwent coronary imaging was performed. Patients diagnosed for CAA were included. Their results on imaging modalities were compared.

RESULTS
CAAs were detected in 257 out of 17,245 patients (1.49%). Fifty-five (0.319%) had separate origins of left anterior descending and circumflex arteries from left-sinus. ICA and MDCTA were equivalent (p=1) for its detection. Thirty-four patients had abnormal high origin near same sinus. ICA had lower sensitivity (52.9%) than MDCTA (100%) (p=0.0001) for its detection. Both modalities had 100% specificity. Anomalous coronary arteries from opposite sinus (ACAOS) were found in 88 patients (0.51%). ICA has 95.9% sensitivity, 100% specificity for diagnosis and 91.8% sensitivity for course-delineation. MDCTA has 100% sensitivity and specificity. For ACAOS, diagnostic accuracies of both were equivalent (p=0.49). Course-delineation was better with MDCTA than with ICA (p=0.05). Radiation-exposure with ICA (7.3±2mSv) was lower than that with MDCTA (14.5±3mSv) (p<0.0001). Radiation-exposure for ACAOS was more than that for other anomalies with ICA (p<0.001), but not with MDCTA (p=0.18). Radiation-exposure with ICA correlated with CAAscore (r=0.3), especially for origin and course anomalies (r=0.6). With MDCTA, that did not correlate with CAA-score (r=-0.019). Contrast-expenditure during ICA (65.55±19.9ml) and MDCTA (63.15±15.6ml) were equivalent (p=0.52). Contrast-expenditure
during ICA in adults correlated with CAA-score (r=0.42), in contrast to MDCTA (r=-0.04).

CONCLUSION
MDCTA is a good modality for detection and course delineation of CAAs. Radiation and contrast-exposure with MDCTA does not correlate with complexity of CAA.
Knowledge graph completion for scholarly knowledge graph
Authors: Taufiqurrahman Taufiqurrahman , Wiharja Kemas Rahmat Saleh , Wulandari Gia Septiana
Published: December 2024

Scholarly knowledge graph is a knowledge graph that is used to represent knowledge contained in scientific publication documents. The information we can find in a scientific publication document is as follows: author, institution, name of journal/conference, and research topic. A knowledge graph that has been built is usually still not perfect. Some incomplete information may be found. To add the missing information, we can use knowledge graph completion, which is a method for finding missing or incorrect relationships to improve the quality of a knowledge graph. Knowledge graph completion can be carried out on a scholarly knowledge graph by adding new entities and relationships to produce further information in the scholarly knowledge graph. The data added to the scholarly knowledge graph are only other papers of first author entity, the research field of first author entity, and a description of the conference/journal entity. The result shows that the scholarly knowledge graph was completed by adding 81% correct data for other papers of first author entity, 80.3% correct data for the research field of first author entity, and 53.9% correct data for the description of the conference/journal.
An efficient and interactive android-based neighborhood management
Authors: Junianto Haris , Saputra Dhanar Intan Surya , Saputro Rujianto Eko
Published: December 2024

This research aims to design and develop a prototype Android-based Neighborhood Association management information system application using the Agile approach to assist Neighborhood Association administrators in real-time administrative processes and information dissemination. The Agile approach was selected to enhance flexibility and responsiveness in application development, enabling adjustments to potential user needs and changes that may occur during the development process. The application is expected to improve service quality and governance transparency at the Neighborhood Association level while facilitating residents' access to information and interaction with Neighborhood administrators. The application development process employs the Agile approach, involving the development team in iterative cycles to meet user requirements. Research results demonstrate the achievement of research objectives, with the application capable of managing resident data, Neighborhood Association finances, event scheduling, and Neighborhood Association news. The Agile approach used in the application's development provides the flexibility needed to adapt to changing user requirements, offering a solution to the challenges faced by Neighborhood Association administrators in performing their duties. This aligns with Agile principles, emphasizing user collaboration and responsiveness to changes.
Innovative CNN approach for reliable chicken meat classification in the poultry industry
Authors: Anraeni Siska , Mustari Muhid , Ramdaniah Ramdaniah , Kurniati Nia , Mubarak Syahrul
Published: December 2024

In response to the burgeoning need for advanced object recognition and classification, this research embarks on a journey harnessing the formidable capabilities of Convolutional Neural Networks (CNNs). The central aim of this study revolves around the precise identification and categorization of objects, with a specific focus on the critical task of distinguishing between fresh and spoiled chicken meat. This study's overarching objective is to craft a robust CNN-based classification model that excels in discriminating between objects. In the context of our research, we set out to create a model adept at distinguishing between fresh and rotten chicken meat. This endeavor holds immense potential in augmenting food safety and elevating quality control standards within the poultry industry. Our research methodology entails meticulous data collection, which includes acquiring high-resolution images of chicken meat. This meticulously curated dataset serves as the bedrock for both training and testing our CNN model. To optimize the model, we employ the 'adam' optimizer, while critical performance metrics, such as accuracy, precision, recall, and the F1-score, are methodically computed to evaluate the model's effectiveness. Our experimental findings unveil the remarkable success of our CNN model, with consistent accuracy, precision, and recall metrics all reaching an impressive pinnacle of 94%. These metrics underscore the model's excellence in the realm of object classification, with a particular emphasis on its proficiency in distinguishing between fresh and rotten chicken meat. In summation, our research concludes that the CNN model has exhibited exceptional prowess in the domains of object recognition and classification. The model's high accuracy signifies its precision in furnishing accurate predictions, while its elevated precision and recall values accentuate its effectiveness in differentiating between object classes. Consequently, the CNN model stands as a robust foundation for future strides in object classification technology.  As we peer into the horizon of future research, myriad opportunities beckon. Our CNN model's applicability extends beyond chicken meat classification, inviting exploration across diverse domains. Furthermore, the model's refinement and adaptation for specific challenges represent an exciting avenue for future work, promising heightened performance across a broader spectrum of object recognition tasks.
LEACH algorithm analysis and simulation using MATLAB
Authors: Siyu Maruly Widjaya , Fattah Farniwati , Gaffar Andi Widya Mufila
Published: December 2024

Research on Wireless Sensor Network (WSN) began to be carried out to meet various industrial needs including defense, health, environmental surveillance, and others. However, there are several obstacles in WSN, namely the problem of energy consumption which is the object of research by many researchers. The solution offered in this paper is to use the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol which is a hierarchical protocol where this protocol focuses on saving energy use on WSN. This study used Matlab 2023 simulation software which used several measurement parameters to determine tissue life time, average residual energy, and throughput. The research scenario uses a homogeneous topology with three network sizes, namely 500 x 500, 750 x 750, and 1000 x 1000. Then also used three conditions for the number of sensor nodes, namely 100 nodes, 150 nodes, and 200 nodes. The results showed that the smaller the tissue size, the longer the life time and if the network size is wider, the network life time is shorter. The number of data packets transmitted depends on the number of active sensor nodes and sufficient energy to transmit.
Design and development of face recognition-based security system using expression game as liveness detection
Authors: Yusmanto Yunan , Ar Rosyid Harits , Prasetya Wibawa Aji
Published: December 2024

Face recognition as a security system has undergone significant developments, but challenges in live detection are still a major issue in preventing fraud. Liveness detection is a method that helps face recognition security more resistant to fraud. This research aims to address this issue by developing an innovative security system that integrates face recognition with a facial expression game, enhancing live detection and user engagement. The primary objectives are to ensure seamless integration, maintain a fun and challenging user experience, and demonstrate practical applicability. We applied a Waterfall method in our research to ensure a straightforward approach. We successfully applied this system for the door lock-unlock mechanism, simulating a restricted area. YuNet, a face detection model runs in the web interface and controls the NodeMCU to either lock or unlock the door.  The study concluded 95% success rate from the participants in making facial expressions: Smile, Normal, and Sad. However, expressing Sadness within the 3-second timeframe posed some difficulties. The average duration for completing the mini-game was approximately 16.31 seconds from the start. The integration of a facial expression game as a liveness detection required careful design to balance security and user engagement that is fun to experience. This research underscores the significance of addressing current challenges in biometric security by integrating an interactive element into the live detection process. The developed system contributes to the field by enhancing the robustness and user experience of face recognition security systems, demonstrating potential for broader application in restricted access scenarios.
Maximizing digitalization to maintain consumer loyalty
Authors: I'tisham Muhammad , Chusniyah Tutut , Hakim Shaqilla
Published: December 2024

In the digital era, mobile applications have become essential tools for companies to foster consumer loyalty by enabling seamless interactions, efficient transactions, and accessible customer service. This study examines the impact of digitalization on customer loyalty through a qualitative case study of Sociolla, focusing on the SOCO application. Data were collected via purposive sampling involving a company representative and a Sociolla consumer and analyzed using thematic analysis, presenting findings narratively. Sociolla demonstrates the strategic use of digital platforms for branding and consumer engagement. The consumer informant reported increased interest, enthusiastic event participation, app downloads, and a clear understanding of Sociolla’s brand identity, highlighting the ecosystem fostered between the company and its customers. These findings underscore the broader applicability of effective digital strategies in engaging customers and enhancing brand loyalty across industries. The study concludes that mobile applications capture customer attention, drive active involvement, and strengthen brand relationships when effectively leveraged. It also identifies a need for future research to quantitatively assess the impact of digital platforms on loyalty, engagement, and brand attachment. However, the study's scope is limited to Sociolla, a cosmetics retail brand with a predominantly female customer base. Expanding research to include diverse demographics, regions, and industries could provide richer insights into the effectiveness of digitalization strategies in maintaining customer loyalty across varied contexts
Analyzing interaction and player experience of game based learning using feature importance based clustering
Authors: Alfan Muhammad Bahauddin , Yuhana Umi Laili , Herumurti Darlis
Published: December 2024

This study explores the dynamics of the gaming experience and its impact on learning efficiency through digital game-based learning (DGBL). Leveraging the Fingerstroke Level Model-GOMS (FLM-GOMS) for interaction analysis and the In-Game Experience Questionnaire (iGEQ) for player experience assessment, we examine the relationship between game-play mechanics and educational outcomes. Our research incorporates a comprehensive dataset, focusing on 40 features encompassing motivation and efficiency outcomes. Through clustering, we identify distinct player groups exhibiting signif-icant variations in efficiency outcomes and game experiences. We utilized the feature selection technique to identify the crucial features that differentiate groups of students who excel in implementing DGBL from those who do not. Through the Random Forest feature importance method, we have found that FLM-GOMS features and positive player in-game feedback play a pivotal role in determining the effectiveness of DGBL.
Implementation of facial recognition technology in the verification system for api banyuwangi cadets using the haar cascade algorithm
Authors: Setiawan Ariyono , Prasetyo Kukuh Tri , Rusdyansyah Arief , Ardian Dede
Published: December 2024

This research aims to enhance the efficiency and security of the identity verification process for cadets at API Banyuwangi through the implementation of facial recognition technology using the Haar Cascade algorithm. In this study, experimental methods and statistical analysis were used to analyze the data obtained from a series of processing stages, including RGB to grayscale conversion, image resizing, and cropping. Data were collected through facial image acquisition using a webcam and processed to train the model and test the success of the verification system. Statistical analysis shows that preprocessing techniques have a significant impact on verification success, while facial recognition methods are also relevant. However, the data are not normally distributed, indicating the need for alternative analytical approaches. Thus, this research provides valuable insights into the potential of facial recognition technology in enhancing efficiency and security in identity management at educational institutions, while also highlighting the need for further research for the development of methods and deeper understanding.
Optimizing biofertilizer application and fertilizing technique for enhanced tea plant growth and flavonoid composition after drought season
Authors: ANJARSARI INTAN RATNA DEWI , WIHARTI NABILA RAGIL , MAXISELLY YUDITHIA
Published: December 2024

Now a days, drought has become a prevalent issue in tea cultivation, especially in West Java, the largest tea-producing province in Indonesia. It is considered one of the primary limiting factors that adversely affect both tea yield and quality. Biofertilizer fertilization with different fertilization techniques is an alternative to supply more optimal tea nutrient needs, after the dry season. The objective of this study was to optimize biofertilizer application and fertilization techniques to improve tea plant growth and flavonoid composition after the dry season The experiment was conducted at the Experimental Garden of the Tea and Cinchona Research Center, Gambung, Ciwidey from April 2024 until August 2024. The experimental design used was a randomized group design including A = Control; B=15 L/ha Biofertilizer sprayed to leaves; C=22.5 L/ha Biofertilizer sprayed to leaves; D=30 L/ha Biofertilizer with application technique sprayed to leaves; E =15 L/ha biofertilizer watered to soil; G=22.5 L/ha Biofertilizer watered to soil I=30 L/ha Biofertilizer watered to soil. The result showed that applying a combination of biofertilizer and fertilizer application technique influences root starch content and fresh shoot weight of tea. An amount of 22.5 L/ha biofertilizer with the application technique watered into the soil gave the best results on tea flavonoid levels in pecco to dormant shoots ratio, the treatment of biofertilizer and fertilizer application techniques still showed starch levels below the standard.
Фазовый переход в условиях быстрого электролиза
Authors: Виноградов В. Е. , Павлов П. А.
Published: December 2024

В результате исследования дегазации на электроде при протекании импульса тока через электролит выделены режимы, когда газообразные продукты электролиза появляются взрывообразно. Кинетика дегазации исследована по возмущению электрического сопротивления между электродами. Экспериментальные результаты обобщены с применением теории электрокапиллярности и теории флуктуационного зародышеобразования газовой фазы.
Synthesis and structure of silver halide complexes [Ph3PCH=CH2]n[Ag2Br3]n, [Ph3PCH=CH2]n[Ag5Br6]n and [Ph3PCH2CH=CHCH2PPh3][Ag2I4]
Authors: Shevchenko D. P. , Zhizhina A. I. , Efremova A. N. , Sharutin V. V. , Sharutina O. K.
Published: December 2024

By the interaction of silver bromide with (2-bromoethyl)- and vinyltriphenylphosphonium bromides, as well as silver iodide with but-2-ene-1,4-diyl-bis(triphenylphosphonium) diiodide in DMSO, haloargentate complexes [Ph3PCH=CH2]n[Ag2Br3]n (I), [Ph3PCH=CH2]n[Ag5Br6]n (II) and [Ph3PCH2CH=CHCH2PPh3][Ag2I4] (III) were synthesized. The obtained products were characterized by IR spectroscopy and X-ray diffraction analysis (CCDC No. 2173339 (I), 2172944 (II), 1985085 (III)). According to X-ray diffraction data, compounds I–III consist of organyltriphenylphosphonium cations with tetrahedrally coordinated phosphorus atoms and the corresponding haloargentate anions of 1D-polymeric (I, II) or non-polymeric (III) structure. The anions I and II are “cross-linked” from tetrahedral {AgBr4} fragments, while anion III – from two trigonal fragments {AgBr3}. In all the resulting complexes, the Ag centers are additionally connected to each other by argentophilic contacts with Ag···Ag distances in the range of 2.8162(12)–3.371(2) Å.
Chemical Generation And Reactivity Of Highly Oxidized Oxo-Species Of Water-Soluble µ-Carbide Dimer Ruthenium(IV)Phthalocyaninate
Authors: Zaitseva S. V. , Zdanovich S. A. , Sukharev V. S. , Koifman O. I.
Published: December 2024

The chemical generation of highly oxidized species of µ-carbido dimer water-soluble ruthenium sulfophthalocyaninate in reaction with tert-butyl hydroperoxide was studied using spectral methods. The regularities of the active species formation have been established and a reaction mechanism has been proposed. The coordinating ability of the dimeric complex is shown to determine the possibility of the π-radical cation and diradical cation species formation. The influence of peroxide concentration and pH of the medium on the type of the generated active species capable of oxidizing not only synthetic dye, but also organic peroxide, is demonstrated.
On phosphine-containing gold(I) complexes in solutions in connection with their biological applications
Authors: Mironov I. V. , Kharlamova V. Y. , Kal’nyi D. B.
Published: December 2024

Some transformations involving AuCl(PPh3) in CH3CN/H2O solution are considered and a comparison is made with known data for auranofin. Interaction with GSH leads to the formation of a binuclear (GSH)[Au(PPh3)]2 (at CGSH/CAu 0.5) or mononuclear Au(GSH)(PPh3) (CGSH/CAu 0.5) complex; PPh3 substitution is not observed. Interaction with BSA leads to Cl– substitution. A cyclic voltammetry study showed the presence of several peaks of irreversible oxidation of AuCl(PPh3) and complexes with GSH.
Metal-organic framework based on nickel, L-tryptophan and 1,2-bis(4-pyridyl)ethylene, consolidated on a track-etched membrane
Authors: Ponomareva O. Y. , Drozhzhin N. A. , Vinogradov I. I. , Vershinina T. N. , Altynov V. A. , Zuba I. , Nechaev A. N. , Pawlukojć A.
Published: December 2024

An approach to the functionalization of track-etched membranes (TM) by metal-organic framework consisting of nickel, L-tryptophan, and 1,2-bis(4-pyridyl)ethylene (Ni-MOF) was developed. The effect of TM surface charge on the Ni-MOF self-assembly was studied. It was established that the microstructure of Ni-MOF does not depend on the method of TM modification. It was shown that the Ni-MOF self-assembly on TM modified with chitosan nanofibers is the most promising approach to the creation of a composite of TM and Ni-MOF, because the performance of the membrane do not reduce. Using scanning electron microscopy, X-ray diffraction analysis, X-ray photoelectron spectroscopy and IR spectroscopy it was shown that the composition and structure of free Ni-MOF (in powder form) and Ni-MOF in the consolidated material are identical. X-ray photoelectron spectra of Ni-MOF powders after its contact with solutions of Cd, Cu, Cs salts and adsorption kinetics study of Cd, Li, Ag, Zn, Mg, Li ions showed that Ni-MOF can be a potential sorbent of metal ions.
Synthesis, structure and optical properties of semiconductor perovskite nanoparticles CsBX3 (B = Pb, Mn; X = Br, Cl)
Authors: Gushchina V. A. , Son A. G. , Egorova A. A. , Arkhipenko A. A. , Teplonogova M. A. , Efimov N. N. , Kozyukhin S. A.
Published: December 2024

Currently, ABX3 nanoparticles (NPs) based on lead halides attract the attention due to their unique optical properties and a wide range of applications. The preparation of NPs with lead as a partial or complete replacement is particularly interesting because of the toxicity of this chemical element and most of its compounds. In this study, we propose a modified method for perovskite NPs synthesis using manganese as a partial replacement for lead. The results obtained describe the structures, shapes and dimensions of the synthesized nanoparticles. It has been shown that partial replacement of lead with manganese leads to the appearance of new photoluminescence bands in the region of 600 nm.
Two new spider species (Aranei) from the Cis-Urals Steppe, Russia
Authors: Esyunin S. L. , Vlasov S. V. , Ustinova A. L.
Published: December 2024

Based on male material collected from the Cis-Urals steppe, two new species, are diagnosed, described and illustrated: Drassyllus borlynensis sp. n. and Walckenaeria danismani sp. n. A map showing the collecting localities are provided for Walckenaeria danismani sp. n. Drassyllus borlynensis sp. n. differs from the most similar D. praeficus (L. Koch 1866) and D. villicoides (Giltay 1932) in the smaller size, body colouration and the conformation of the male palp. Walckenaeria danismani sp. n. belongs to the subgenus Prosopotheca Simon 1884, where it appears to be most similar to W. baborensis Bosmans 1993, yet differing in the shape of the embolus.
Morphotypic characteristics of the second upper molar (M2) of the brown (Ursus arctos) and polar (Ursus maritimus) bears (carnivora, ursidae)
Authors: Gimranov D. O.
Published: December 2024

The structure of the second upper molar (M2) of brown (Ursus arctos) and white (U. maritimus) bears was studied, with 9 polymorphic characters identified, and their descriptions given. A west to east geographic pattern was discovered in the variability of the lingual cingulum M2 in continental U. arctos. In island populations of U. arctos, there is likewise a decrease in talon M2 observed from west to east. In general, M2 in brown and polar bears is a rather variable tooth. The brown bear can be reliably differentiated from the polar bear based on the structure of M2 based on 6 characters. Changes in the structure of M2 in U. maritimus is associated with the transition to myophagy. The tooth is reduced, first of all losing its secondary elements and reducing the pressing surface due to the talon. Utsus maritimus has the largest number of progressive features among ancient and modern members of the genus Ursus. In evolutionary terms, the variability of M2 in members of the genus appears to be quite high, reflecting the main phylogenetic directions.
Images of the (non-)human future in the big data world
Authors: Koval Ekaterina А.
Published: December 2024

The variability of images of the future has expanded significantly with the advent of big data and unique generative pre-trained transformers that is a type of natural language processing models. The social imaginary gradually becomes sociotechnical, and agents of artificial sociality are included in the construction of various images of the future, reproducing stereotypes from the data used to train large language models. Big data and related technologies feature in various visions of the future, including utopias, dystopias, and realistic scenarios of an achievable and livable “good society”. The emergence of the sociotechnical imaginary and generated images of the future initiates ethical and philosophical reflection, which is not limited to applied problems. However, there is also a need for exploratory studies, the results of which can be useful for further theoretical research. This article presents the results of a comparative analysis of the Russia future images generated by the GigaChat (Sberbank, Russia) and ChatGPT (OpenAI, USA). The utopia from GigaChat is focused on achieving technological leadership of Russia, and the utopia from ChatGPT is based on traditions. Dystopia according to GigaChat is a society of environmental disasters with a high level of socio-economic stratification and a low level of intellectual potential. ChatGPT constructs a Russian dystopia around an insidious small elite who, in various ways, including rewriting history, are trying to preserve their position of power. The “good society” from GigaChat is a utopia with restrictions, and from ChatGPT is an open multicultural society with a mixed economic system, focused on sustainable development and maintaining the mental health of citizens. The article demonstrates that different value and normative emphases in neural network images of the future are determined by the characteristics of the algorithms and the data used to train large language models.
ON PROPERTIES OF SOLUTIONS TO EQUATIONS ARISING WHILE MODELING CRYOCHEMICAL SYNTHESIS OF FORMACEUTICAL NANOFORMS
Authors: Astashova I. V , Morozov Yu. N , Filinovsky A. V , Chechkin G. A , Shabatina T. I
Published: December 2024

For a nonlinear second order ordinary differential equation, arising while mathematical modeling cryochemical synthesis of medicinal nanoforms, the behavior of its positive monotonic solutions is studied as well as the existence, uniqueness and properties of solutions of various boundary value problems with fixed and free boundaries.
ON NUMERICAL METHODS IN LOCALIZATION PROBLEMS
Authors: Kanatnikov A. N , Tkacheva O. S
Published: December 2024

When solving localization problem numerically, the main problem is to construct a universal cross section corresponding to a given localizing function. The paper proposes two methods for solving this problem, which use estimates of the first and second order derivatives. A comparative analysis of these methods with a method based on the use of all nodes of a regular grid was carried out. A comparative analysis shows that the proposed methods are superior both in terms of computational complexity and in the quality of the resulting approximation of the universal section.
DAMPAK DIVERSIFIKASI PRODUK BERBASIS AUGMENTED REALITY TERHADAP PENINGKATAN PENJUALAN DAN PERTUMBUHAN LABA UMKM GEDEBOG.IDN SURABAYA
Authors: Sandy Wulan Mel , Susilowibowo Joni
Published: December 2024

Business growth is characterized by an increasing number of sales However, this condition seems difficult for MSMEs because they have not been able to withstand competition, maintain customer satisfaction, and attract buying interest. Therefore, to increase sales, it is necessary to diversify products to attract customers to buy. The existence of this tirk power is expected to create an increase in sales. The purpose of this research is used to determine the impact of product diversification using augmented reality technology on increasing sales and profit growth during the September-November period in 2023 at UMKM gedebog.idn Surabaya. The research method used is quantitative descriptive research method Data obtained from primary data The study population consisted of all sales volume and profit data during June-November 2023. Sampling data using purposive sampling using samples of sales volume and profits in September-October 2023. The results showed that product diversification using augmented reality has positive results on increasing sales in the range of 26-41% and profit growth in the range of 24-28%.
OPTIMALISASI EDUKASI PEMANFATAN ARSIP STATIS MELALUI SISTEM INFORMASI KEARSIPAN NASIONAL (SIKN) DI DINAS PERPUSTAKAAN DAN KEARSIPAN KOTA SURAKARTA
Authors: Kurniawan Satria Rio , Dirgatama Chairul Huda Atma , Kusumawardhani Arinta , Ibad Irsyadul
Published: December 2024

The development of information technology that is developing rapidly and rapidly can create good and efficient digital or electronic archive management. Along with the development of information technology, many problems occur are the lack of public knowledge about archives because of the lack of information sources, the public cannot know what archives have historical value in the government. The purpose of this study is to describe and provide information about the optimization of the use of static archives through the National Archives Information System (SIKN) and the National Archives Information Network (JIKN) in the Library and Archives Service of Surakarta City. The research method used is qualitative descriptive. The data collection techniques used are observation, interviews, and literature studies/documentation. The results of the research that has been carried out are Static Archive Management through the National Archives Information System (SIKN) through 4 (four) activities, namely acquisition, processing, preservation and access and use of SIKN and JIKN through 3 (three) ways, namely input, process, output. There are obstacles to the management of static archives through the National Archives Information System (SIKN), namely in Human Resources and obstacles that often occur in the system, namely errors and maintenance in SIKN and JIKN.
ATESENDEN DAN KONSEKUENSI PERCEIVED QUALITY
Authors: Rahmah Aulia Fauziah , Kurniawati Kurniawati
Published: December 2024

Brand image is a reference for consumers to see the quality of a product. Apart from that, the country of origin of production is also a consideration for consumers when comparing the price and quality of products, especially electronic and smartphone-based products. Therefore, this research aims to see the influence of country of origin and brand image on smartphone purchase intentions and perceived quality as mediating variables. This research aims to see the influence of country of origin and brand image on smartphone purchase intentions and perceived quality as mediating variables. The research object uses a survey method with an instrument in the form of a questionnaire and a quantitative method using a purposive sampling method. In this study, SPSS version 27 and Structural Equation Model (SEM) were used. This research resulted in the conclusion that it must maintain its brand image, namely as a Smartphone brand that always releases Smartphones with sophisticated and up-to-date features, it must continue to improve the quality of both products in terms of performance and physical durability of Smartphone products. Consumer interest can arise because perceptions regarding product quality or the product brand image must be able to attract consumer attention. Companies must strengthen their brand image through marketing strategies that involve attractive advertising campaigns. produces high quality products through the use of the best raw materials and strict quality control, as well as utilizing positive consumer reviews in marketing materials.
OPPORTUNITIES AND CHALLENGES OF ENGLISH EDUCATION INDUSTRY IN POST COVID-19 PANDEMIC
Authors: Nurchalis Nur Fadillah , R Muh. Faizal , Noni Nurdin
Published: December 2024

The language education industry sector has undergone significant transformations due to the Covid-19 pandemic, prompting a need for businesses to adapt to uncertain circumstances. This research aims to explore the opportunities and challenges encountered by entities in the English language education sector after these dynamic times. Employing a qualitative descriptive design, the study focuses on managers of English language courses and training institutions in the South Sulawesi region who volunteered as informants. The selection process utilized a snowball sampling technique, allowing for the inclusion of additional informants when necessary. Data collection involved interviews conducted through both zoom and in-person meetings. Analysis of the gathered data employed techniques from Miles and Huberman. The study's findings reveal interconnected opportunities and challenges faced by post-pandemic course managers, particularly concerning the implementation of distance learning. Consequently, strategies of affirmation are crucial to ensure the continued viability of businesses in the English language education industry.
PEMBELAJARAN TANPA BATAS : PELAKSANAAN KURIKULUM MERDEKA YANG EFEKTIF DAN MOTIVASI BELAJAR TERHADAP PRESTASI
Authors: Nastiti Cahya Rusetiana , Fr Dewi Apriani , Nafiati Dewi Amaliah
Published: December 2024

This research aims to determine the influence of the independent curriculum, Learning Motivation, on the Learning Achievement of class X students at Ihsaniyah High School, Tegal City. This research is a type of quantitative research. Data collection methods used in this research are observation, questionnaires, documentation. Descriptive analysis techniques, simple linear regression analysis, multiple linear regression analysis, partial test and simultaneous test. The results of this research, namely the effectiveness of the independent curriculum, found that the implementation of this curriculum had a significant influence of 80.6% on student learning achievement. The effectiveness of the independent curriculum is proven to play an important role in increasing student academic achievement, showing that this curriculum effectively supports the achievement of better learning outcomes. Apart from that, learning motivation also contributes greatly to learning achievement, with an influence of 79%. This research underlines the importance of the effectiveness of learning motivation in improving student learning outcomes. When the combination of an independent curriculum and learning motivation is applied, the overall effectiveness reaches 84.6%, showing a strong synergy between the two in supporting student learning achievement. Thus, implementing an effective curriculum and developing high motivation is very important to achieve optimal learning achievement.
FAKTOR BAURAN PEMASARAN DALAM MEMPENGARUHI KEPUASAN PENGGUNA MESS KALIMANTAN TENGAH DI JAKARTA
Authors: Januardo Planoko , Sintani Lelo , Harinie Luluk Tri
Published: December 2024

Mess Kalteng in Jakarta managed by the Central Kalimantan provincial government is one of the sectors contributing to regional income through the regional asset utilization sector. To increase income from Mess Kalteng in Jakarta, the management needs to pay attention to and optimize marketing mix factors so that users are satisfied. The purpose of this study was to determine the effect of marketing mix elements on user satisfaction and loyalty of Mess Isen Mulang Central Kalimantan in Jakarta. This study uses a quantitative survey research methodology. The sampling strategy used a questionnaire sent via Google Form, using the Purposive Sampling method which was carried out based on certain criteria. The data analysis tool used Partial Least Squares 3.0 (PLS). The research findings show that price has a significant effect on price, and both product and place have a substantial effect on user satisfaction. However, promotion does not have a significant effect on user satisfaction at Mess Kalimantan Tengah in Jakarta.
PENGARUH LITERASI KEUANGAN DAN MEDIA SOSIAL TERHADAP PERILAKU KONSUMTIF DI DESA KUBU KABUPATEN KUBU RAYA
Authors: Hendriyani Susilawati , Matsum Junaidi H , Ulfah Maria , Asriati Nuraini , Syahrudin Husni
Published: December 2024

Consumptive behavior is characterized by an individual's tendency to spend money on shopping, both offline and online, without considering the priority scale. In this case, financial literacy has a role to play in avoiding consumer behavior and encouraging wiser use of social media. The objectives of this research: 1) The influence of financial literacy on adolescent consumer behavior in Kubu Village, Kubu Raya Regency. 2) The Influence of Social Media on Teenage Consumer Behavior in Kubu Village, Kubu Raya Regency. 3) The Simultaneous Influence of Financial Literacy and Social Media on Teenage Consumptive Behavior in Kubu Village, Kubu Raya Regency. The research method is quantitative. The sample consisted of 200 teenagers. Data collection techniques used questionnaires. Data were analyzed using multiple linear regression. The research results show: 1) The influence of financial literacy on adolescent consumer behavior in Kubu Village, Kubu Raya Regency with a sig value of 0.000 < 0.05. 2) The influence of social media on adolescent consumer behavior in Kubu Village, Kubu Raya Regency with a sig value of 0.000 < 0.05. 3) Simultaneous Influence of Financial Literacy and Social Media on Adolescent Consumptive Behavior in Kubu Village, Kubu Raya Regency with a sig value of 0.000 < 0.05.
LITERATUR RIVIEW: PENGARUH PENDIDIKAN KEWIRAUSAHAAN DAN NORMA SUBJEKTIF TERHADAP INTENSI BERWIRAUSAHA
Authors: Marcelina Sherly , Kurniawan Riza Yonisa
Published: December 2024

Students who have doubts about becoming an entrepreneur are the basis for this research. This research is also based on other research that many students who have received entrepreneurship education at university level but still feel hesitant about becoming an entrepreneur. Therefore, this research is considered important to carry out to strengthen this argument, so a literature review is considered appropriate. The literature review conducted was to determine that entrepreneurial intention can be influenced by entrepreneurial education factors and subjective norms implemented through the research method, namely SLR or Systematic Literature Review. Based on the study conducted, it shows that entrepreneurial intention is significantly influenced by entrepreneurial education and subjective norms. The results of the literature review also found that entrepreneurial education and subjective norms have an impact on entrepreneurial intention, so that entrepreneurial education and subjective norms can be implemented as a strategy to increase individual entrepreneurial intention. Thus, it is very crucial for the government and educational institutions to encourage increased entrepreneurship education so that individual entrepreneurial intention increases.
PENGARUH LITERASI KEUANGAN TERHADAP PERILAKU PRODUKTIF MAHASISWA STKIP PERSADA KHATULISTIWA SINTANG TAHUN AKADEMIK 2022/2023
Authors: Asmara Frilensia Maura , Suriyanti Yulia , Sore Avelius Dominggus
Published: December 2024

The aim of this research is to determine the effect of understanding financial literacy on students' productive behavior. The research method used is a quantitative research method. The data analysis technique uses simple linear regression. The population in this study were all STKIP Persada Khatulistiwa Sintang students who were or had taken entrepreneurship education courses. Data collection tools include test questions and questionnaires. Data analysis techniques are first carried out by looking for validity and reliability, descriptive analysis tests, contribution tests, and classical assumption tests. The research data was processed using the SPSS 23 program. Based on the research results, it is known that the financial literacy of STKIP Persada Khatulistiwa Sintang students, with a total test question score of 7154, an average value of 71.54 is in the good category. The productive behavior of STKIP Persada Khatulistiwa Sintang students, with a total questionnaire score of 7604 with an average score of 76.04% is in the good category. Based on the results of this research, it can be concluded that there is a significant influence between financial literacy on the productive behavior of STKIP Persada Khatulistiwa Sintang students for the 2022/2023 Academic Year.
PERANCANGAN APLIKASI PENGAJUAN CUTI KARYAWAN PT. INDOMARCO ADI PRIMA MENGGUNAKAN PHP NATIVE
Authors: Hadisuwarno Noppy , Muchtadi R. Hudan , Auliana Sigit
Published: December 2024

The employee leave request application is a crucial need for large companies like PT. Indomarco Adi Prima to improve the efficiency of leave management. This study aims to design a web-based leave request application using PHP Native to simplify the process of submitting, approving, and tracking employee leave status. The system development method used is Waterfall, consisting of phases such as requirement analysis, design, implementation, and testing. The application is designed to be easily accessible in real-time, providing transparency and accuracy in leave management. Testing results show that the system can expedite the leave request process, minimize administrative errors, and enhance human resource management efficiency within the company.
Study of anthocyanins in several genetic resources from the national eggplant collection of Armenia
Authors: Sarikyan Karine , Kirakosyan Gohar , Grigoryan Marine , Vardanyan Varduhi , Sahradyan Gayane , Ghazaryan Davit , Zhamharyan Arusyak
Published: December 2024

Background: The main components of eggplant skin extract are anthocyanins, which play a vital role in determining the skin's color. Cultivated eggplants can potentially increase their anthocyanin content by crossing with various forms that synthesize different types of anthocyanins. This strategy could lead to eggplants with even higher antioxidant properties. Consuming products rich in anthocyanins is beneficial for preventing the development of serious diseases. Therefore, special attention should be paid to the selection of eggplants due to their high content of these biologically active substances. 
Objective: The study focuses on the effectiveness of various eggplant genetic resources conserved at the National Eggplant Collection in Armenia, specifically examining the anthocyanin content in eggplant fruits.
Methods: Experiments were conducted at the experimental station of the Scientific Centre of Vegetable and Industrial Crops in Darakert, Ararat Marz of Armenia during 2022-2023. For these experiments, several genetic resources from the Armenian National Eggplant collection were utilized, including the brinjal (Solanum melongena L.) varieties Mini Miss and Tavush, and wild relatives of eggplant, introduced from Taiwan and species from The World Vegetable Center (AVRDC), namely Solanum macrocarpon and Solanum incanum.  The quantitative determination of the total anthocyanins was carried out using pH differential spectrophotometry. The experimental data was subjected to two statistical processing methods.  Analysis of Variance (ANOVA) and Hierarchial Cluster Analysis. 
Results: The total anthocyanins content in eggplant fruits is 0,34-6,19(mass%), with a standard deviation of ±0.06 ±0.42 respectively. The moisture content in the eggplant fruits is 89,35-92,3 (mass%), with a standard deviation ±0,96 ±1,7. They have several promising anthocyanin-rich varieties such as Solanum melongena L. (Mini Miss and Tavush), and wild relatives from the deceased Tawan and species from the World Vegetable Center (AVRDC), namely Solanum macrocarpon and Solanum incanum,
Conclusion: Several genetic resources of the national eggplant collection, including Armenian varieties such as Solanum melongena L. (Mini Miss and Tavush), as well as wild relatives from the deceased Tawan and species from the World Vegetable Center (AVRDC), namely Solanum macrocarpon and Solanum incanum, exhibited high anthocyanin content. These valuable resources can play a crucial role in breeding new eggplant varieties and hybrids, as well as in creating innovative forms of functional food.
Keywords: eggplant, anthocyanins, genetic resources