bluuebunny/crossref_metadata_2025 huggingface dataset:
Regionalism and regionalization: problems and prospects in law
Authors: Nanba Saria
Published: December 2023

In the article of the spatial development of the state is based on the institutional meaning and significance of the region as the original polysystemic category of science and legislation. In the subject of legal regulation, the concept of a region is revealed in the structural connection of economics, jurisprudence, and sociology. The study of regional development involves clarifying the relationship between the concepts of “regionalism” and ‘regionalization”. In the concept of the author’s understanding, it is the identification basis of the region, and regionalization is the practical transformation of public authority. Based on this, the author proposes approaches to the categorization of regionalism and regionalization in the conceptual apparatus of modern jurisprudence.
Review of the concepts of legal anomie in foreign and domestic socio-legal thought
Authors: Lipinsky Dmitry A.
Published: December 2023

The article examines the approaches that exist in relation to the understanding of legal anomie in the works of foreign researchers. The history of the emergence of this concept is analyzed, the relationship between legal and social in the process of conducting relevant research is considered. Concludes that there are several approaches to understanding anomie in general and its legal component in particular. The conditions of occurrence of legal anomie are identified and classified. It is noted that some of these conditions are also present in the Russian Federation. Based on the study of the existing criteria for the allocation of types of social and legal anomie, the authors proposed own classification of the types and concepts of legal anomie. The conclusion is formulated about the applicability of foreign concepts of anomie from the perspective of domestic approaches and traditions to legal research.
Protection of the rights and interests of the parties in recovery from the developer for the breach of the terms of transfer of the object of sharing construction to the shareholder
Authors: Pushkina Anna V.
Published: December 2023

The article describes a variety of approaches to determining the amount of a penalty for violation of the terms of transfer of an object of shared construction that exist in practice. It is noted that the lack of uniformity in the methodology for calculating the size of such a penalty reduces legal certainty and, as a result, trust in the judicial system. It is proposed to adhere to a literal interpretation of the law when setting the date on which the size of the key rate of the Central Bank of the Russian Federation should be determined for calculating such penalties, namely, to proceed from the day of signing the act of acceptance and transfer of the shared construction object. The use of a different size of the discount rate often leads to infringement of the rights of equity holders, and the penalty ceases to be a tool to protect the weak party in the relationship of equity participation in construction. If the amount of the penalty with this method of calculation turns out to be clearly disproportionate to the consequences of the violation, to restore the balance of interests of the parties, you can use the mechanism for reducing the penalty on the basis of Art. 333 of the Civil Code of the Russian Federation, taking into account the peculiarities of each specific situation.
The use of image category in the process of proving in criminal cases (formulation of the problem and its solution on the example of investigator’s activity)
Authors: Dolya Evgeniy
Published: December 2023

The author of the article substantiates the need to use the category of image in the process of proving in criminal cases. He argues that the creation of prerequisites for the digitalization and visualization of images, the development and implementation of “self-developing” programs of investigation and trial with the use of elements of artificial intelligence will depend on the depth of knowledge and taking into account the features of the content and form of images used in proving. Consequently, the qualitative increase in the efficiency of criminal proceedings depends on this. The researcher offers his own classification of images created and used by the investigator in the process of proving.
Civilizational approach to human rights: on the 75th anniversary of the Universal Declaration of Human Rights
Authors: Savenkov Alexander N.
Published: December 2023

Documents and materials related to the adoption of the Universal Declaration of Human Rights and related international documents 75 years ago show the close relationship between the processes taking place in the world and the state of human rights. Over the past decades, human rights have remained among the most acute problems of law and politics, and not only theoretical discussions were conducted around them, but a real ideological struggle unfolded. Disputes and contradictory assessments of the significance of the Universal Declaration and its impact on the further development of legal systems continue to this day. Tools and solutions that allow taking into account national interests while observing International human rights standards are being actively discussed. For example, with the help of a civilizational approach, an attempt is being made to solve the problem of fulfilling International human rights obligations while preserving the fundamental cultural, historical and religious differences of individual civilizations and regions. At the Institute of State and Law of the Russian Academy of Sciences, this approach was developed by a Corresponding Member of the RAS E.A. Lukasheva.
Comparative Constitutional Law: new approaches, concepts and categories (All-Russian the “Round Table”)
Authors: Varlamova Natalia V.
Published: December 2023

On April 18, 2023 the Institute of State and Law of the RAS hosted the All-Russian the “Round Table” “Comparative Constitutional Law: new approaches, concepts and categories”. It was attended by representatives of leading Russian scientific and educational institutions, as well as researchers from Belarus and Uzbekistan. The “Round Table” examined a wide range of problems related to modern trends in the development of Comparative Constitutional Law, new concepts of constitutionalism, constitutional reforms, synchronous and diachronic comparison of constitutional institutions, comparative research of human rights, the use of comparative methodology in the practice of national and supranational judicial bodies.
The New Class $L_{p,\Phi}$ of $s$-Type Operators
Authors: ZENGİN ALP Pınar
Published: December 2023

In this study, the class of $s$-type $\ell_{p}( \Phi )$ operators is introduced and it is shown that $L_{p,\Phi}$ is a quasi-Banach operator ideal. Also, some other classes are defined by using approximation, Gelfand, Kolmogorov, Weyl, Chang, and Hilbert number sequences. Then, some properties are examined.
Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants
Authors: Oliveira Pedro , Salomé Duarte M. , Novais Paulo
Published: December 2023

The exponential growth of technology in recent decades has led to the emergence of some challenges inherent to this growth. One of these challenges is the enormous amount of data collected by the different sensors in our society, namely in management processes such as Wastewater Treatment Plants (WWTPs). These infrastructures comprise several processes to treat wastewater and discharge clean water in water courses. Therefore, the concentration of pollutants must be below the allowable emissions limits. In this work, anomaly detection models were conceived, tuned and evaluated to monitor essential parameters such as nitrate and ammonia concentrations and pH to improve WWTP management. Four Machine Learning models were considered, particularly Local Outlier Fraction, Isolation Forest, One-Class Support Vector Machines and Long Short-Term Memory-Autoencoders (LSTM-AE), to detect anomalies in the three parameters mentioned. Through the different experiments, it was possible to verify that, in terms of F1-Score, the best candidate model for the three analyzed parameters was LSTM-AE-based, with a value consistently higher than 97%.
Long-time behavior of nonclassical diffusion equations with memory on time-dependent spaces
Authors: Zhang Jiangwei , Xie Zhe , Xie Yongqin
Published: December 2023

This paper aims to study the long-time behavior of nonclassical diffusion equation with memory and disturbance parameters on time-dependent space. By using the contractive process method on the family of time-dependent spaces and operator decomposition technique, the existence of pullback attractors is first proved. Then the upper semi-continuity of pullback attractors with respect to perturbation parameter ν in M t is obtained. It’s remarkable that the nonlinearity f satisfies the polynomial growth of arbitrary order.
Liquid biopsy in clinical outcomes and detection of T790M mutation in metastatic non-small cell lung cancer after progression to EGFR-TKI
Authors: Heredia David , Bolaño-Guerra Laura , Valencia-Velarde Angel , Santoyo Edgar Varela , Lara-Mejía Luis , Cárdenas-Fernández Daniela , Orozco Mario , Cruz-Rico Graciela , Arrieta Oscar
Published: December 2023

BACKGROUND: Liquid biopsy (LB) is used to detect epidermal growth factor receptor (EGFR) mutations in non-small cell lung cancer (NSCLC) and has been demonstrated to have prognostic and predictive value. OBJECTIVE: To associate the rates of EGFR and T790M mutations detected by LB during disease progression after first- or second-generation EGFR-TKIs with clinical characteristics and survival outcomes. METHODS: From January 2018 to December 2021, 295 patients with advanced EGFR mutant (EGFRm) NSCLC treated with first- or second-generation EGFR-TKIs were retrospectively analyzed. LB was collected at the time of progression. The frequency of EGFRT790M mutations, overall survival (OS), and the clinical characteristics associated with LB positivity were determined. RESULTS: The prevalence of EGFRT790M mutation detected using LB was 44%. In patients with negative vs. positive LB, the median OS was 45.0 months vs. 25.0 months (p= 0.0001), respectively. Patients with a T790M mutation receiving osimertinib had a median OS of 44 months (95% CI [33.05–54.99]). Clinical characteristics associated with positive LB at progression extra-thoracic involvement, > 3 metastatic sites, and bone metastases. CONCLUSIONS: Our findings showed that LB positivity was associated with worse survival outcomes and specific clinical characteristics. This study also confirmed the feasibility and detection rate of T790M mutation in a Latin American population.
MeFiNet: Modeling multi-semantic convolution-based feature interactions for CTR prediction
Authors: Yan Cairong , Li Xiaoke , Tao Ran , Zhang Zhaohui , Wan Yongquan
Published: December 2023

Extracting more information from feature interactions is essential to improve click-through rate (CTR) prediction accuracy. Although deep learning technology can help capture high-order feature interactions, the combination of features lacks interpretability. In this paper, we propose a multi-semantic feature interaction learning network (MeFiNet), which utilizes convolution operations to map feature interactions to multi-semantic spaces to improve their expressive ability and uses an improved Squeeze & Excitation method based on SENet to learn the importance of these interactions in different semantic spaces. The Squeeze operation helps to obtain the global importance distribution of semantic spaces, and the Excitation operation helps to dynamically re-assign the weights of semantic features so that both semantic diversity and feature diversity are considered in the model. The generated multi-semantic feature interactions are concatenated with the original feature embeddings and input into a deep learning network. Experiments on three public datasets demonstrate the effectiveness of the proposed model. Compared with state-of-the-art methods, the model achieves excellent performance (+0.18% in AUC and -0.34% in LogLoss VS DeepFM; +0.19% in AUC and -0.33% in LogLoss VS FiBiNet).
Enhancing Adaboost performance in the presence of class-label noise: A comparative study on EEG-based classification of schizophrenic patients and benchmark datasets
Authors: Pouya Omid Ranjbar , Boostani Reza , Sabeti Malihe
Published: December 2023

The performance of Adaboost is highly sensitive to noisy and outlier samples. This is therefore the weights of these samples are exponentially increased in successive rounds. In this paper, three novel schemes are proposed to hunt the corrupted samples and eliminate them through the training process. The methods are: I) a hybrid method based on K-means clustering and K-nearest neighbor, II) a two-layer Adaboost, and III) soft margin support vector machines. All of these solutions are compared to the standard Adaboost on thirteen Gunnar Raetsch’s datasets under three levels of class-label noise. To test the proposed method on a real application, electroencephalography (EEG) signals of 20 schizophrenic patients and 20 age-matched control subjects, are recorded via 20 channels in the idle state. Several features including autoregressive coefficients, band power and fractal dimension are extracted from EEG signals of all participants. Sequential feature subset selection technique is adopted to select the discriminative EEG features. Experimental results imply that exploiting the proposed hunting techniques enhance the Adaboost performance as well as alleviating its robustness against unconfident and noisy samples over Raetsch benchmark and EEG features of the two groups.
RETRACTED: Research on micro parallax adversarial sample generation method based on texture sensitive region
Authors: Gao Lijun , Zhu Jialong , Zhang Xuedong , Wu Jiehong , Yin Hang
Published: December 2023

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Object detection and tracking using TSM-EFFICIENTDET and JS-KM in adverse weather conditions
Authors: Arulalan V. , Premanand V. , Kumar Dhananjay
Published: December 2023

An efficient model to detect and track the objects in adverse weather is proposed using Tanh Softmax (TSM) EfficientDet and Jaccard Similarity based Kuhn-Munkres (JS-KM) with Pearson-Retinex in this paper. The noises were initially removed using Differential Log Energy Entropy adapted Wiener Filter (DLE-WF). The Log Energy Entropy value was calculated between the pixels instead of calculating the local mean of a pixel in the normal Wiener filter. Also, the segmentation technique was carried out using Fringe Binarization adapted K-Means Algorithm (FBKMA). The movement of segmented objects was detected using the optical flow technique, in which the optical flow was computed using the Horn-Schunck algorithm. After motion estimation, the final step in the proposed system is object tracking. The motion-estimated objects were treated as the target that is initially in the first frame. The target was tracked by JS-KM algorithm in the subsequent frame. At last, the experiential evaluation is conducted to confirm the proposed model’s efficacy. The outcomes of Detection in Adverse Weather Nature (DAWN) dataset proved that in comparison to the prevailing models, a better performance was achieved by the proposed methodology.
A REAL STRUCTURE-PRESERVING ALGORITHM FOR THE LOW- RANK DECOMPOSITION OF PURE IMAGINARY QUATERNION MATRICES AND ITS APPLICATIONS IN SIGNAL PROCESSING
Authors:   Institute of Mathematics and Information Science, North-Eastern Federal University, Wang G.
Published: December 2023

With the increasing use of quaternions in fields such as quantum mechanics, rigid body rotation, signal and color image processing, and aerospace engineering, three- dimensional signal models represented by pure imaginary quaternion matrices have been cre- ated. This model treats the 3D information as a whole, and the processing preserves the intrinsic connections between the different channels. However, the computational process of quaternion algebra often generates real parts, which are inevitable. How to ensure the pure imaginary properties of 3D signal models is also a research priority. In this paper, we inves- tigate the low-rank decomposition of pure imaginary quaternion matrices using least squares iteration and give a real structure-preserving algorithm for the low-rank decomposition based on the isomorphic real representation. In addition, this matrix decomposition algorithm is applied to color image compression and 3D wave signal denoising problems. Numerical ex- periments show the effectiveness of the algorithm in this paper.
SOLUTION OF BLACK-SCHOLES EQUATION FOR STANDARD POWER EUROPEAN OPTIONS WITH DISCRETE DIVIDEND PAYMENT
Authors:   Department of Mathematics, Sardar Patel University, Ghevariya S.
Published: December 2023

The Nobel Prize celebrated option pricing formulas derived by Fischer Black and Myron Scholes for plain vanilla payoffs known as Black-Scholes formulas. They developed these formulas for pricing European call and put options based on certain assumptions in order to minimize risk factor. The underlying asset pays a constant dividend payment during the life of option was one of the assumption to derive these formulas. S. P. Zhu and X. J. He tried and succeed to improve this assumption by taking discrete dividend payments for underlying asset at fixed dividend date. They derived approximate Black-Scholes formulas of European options for plain vanilla payoffs. Note that standard power payoffs are the generalization of plain vanilla payoffs. This paper contributes to the derivation of approximate Black-Scholes formulas for standard power payoffs. Further, the accuracy of these formulas have been checked numerically.
STATE ESTIMATION FOR A CLASS OF FRACTIONAL-ORDER UNCERTAIN NONLINEAR SYSTEMS
Authors:   Faculty of Automotive Engineering Technology, Industrial University of Ho Chi Minh City, Huong Dinh Cong
Published: December 2023

The robust state estimation problem for a class of fractional-order uncertain non- linear systems is investigated in this paper. The class of fractional-order uncertain nonlinear systems is more general than the existing one in the literature. For the first time, a method based on a new fractional-order state observer is proposed to give robust state estimation of the fractional-order uncertain nonlinear systems. A new condition for the existence of the fractional-order observer in terms of an optimization problem is proposed. The effectiveness of the proposed method is demonstrated through two examples.
DEEP PROCESS-DATA MINING FOR BUILDING OF ANALYTICAL MODELS: 2. INFLUENCE OF WINTER-SPRING TEMPERATURES AND PRECIPITATION ON SPRING FLOOD EXTREMES FOR MOUNTAIN RIVERS
Authors:   Institute for Water and Environmental Problems, Siberian Branch of the Russian Academy of Sciences (IWEP SB RAS), Kirsta Yuri , Troshkova Irina
Published: December 2023

Using the standard methodology for deep process-data mining called system- analytical modeling, we have built a high-performance process-driven (analytical) model for description of winter-spring temperatures and precipitation influence on spring flood extremes for mountain rivers. In April, flood discharge peaks (with ice motion) cause emergency inun- dations and pose a constant threat to local population. The effect of the landscape structure of river basins, winter-spring temperatures and precipitation on spring flood discharge peaks and troughs (SFDP and SFDT) for April 1951–2020 was analyzed by the example of 34 medium and small rivers of the Altai-Sayan mountain country. We identified nontrivial SFDP/SFDT dependences on meteorological conditions, proposed their physical-hydrological substantia- tions and determined SFDP/SFDT sensitivities to meteorological factor variations as con- tributions to the observed SFDP/SFDT variances. The contributions of winter and spring precipitation, winter air temperatures and spring ones for SFDP/SFDT variances made up 34.7, 21.9, 7.8, 6.1% and 13.6, 18.8, 6.6, 1.5%, respectively.
MODELING A RED BLOOD CELL CYTOSKELETON: INSIGHTS AND TIPS
Authors:   Instituto de Ciˆencias Matem ́aticas e de Computa ̧c ̃ao, Meacci L , Ausas R , Mut F , Bari V. di , Buscaglia G ,   Bioengineering Department, George Mason University,,   Division of Food, Nutrition and Dietetics, School of Biosciences, University of Nottingham
Published: December 2023

The aim of this work is to provide a clear and ready-to-implement mathematical model to describe the red blood cell (RBC) cytoskeleton. The motivation for this methodo- logy work lies in the lack of available sources facilitating the implementation of computational (in silico) modelling of RBC mechanical properties. Our approach adopts a worm-like chain force model to mimic an individual spectrin deformation and the virtual work principle to extrapolate the spectrin network dynamics. We report modelling tips using coarse-grained scaling techniques and optical tweezers experiments. We validate the model in virtual expe- riments gaining insights on single spectrin equilibrium, the impact of cytoskeletal symmetry defects on system behaviour, and stress transmission and distribution within the network. By performing these virtual experiments, we elucidate the role that the cytoskeleton plays in de- termining the remarkable RBC mechanical behaviour. These findings emphasise the need to consider the cytoskeleton component in the latest and most advanced single-cell mathematical models.
An integrated system for breast cancer diagnosis using convolution neural network and attention mechanism
Authors: Sharma Deepti , Kumar Rajneesh , Jian Anurag
Published: December 2023

In most malignancies, breast cancer is fatal, accounting for approximately 500,000 annual deaths. The subtype of breast cancer known as Invasive Ductal Carcinoma (IDC) is surprisingly common. Pathologists commonly focus on IDC-containing regions when trying to determine if a patient has breast cancer. Although extremely fatal, survival rates and expected lifespans improve dramatically with prompt diagnosis and treatment. The treatment strategy also varies based on the breast cancer patient’s stage. In this research, we use a classification method for a publically available dataset of breast histopathology images obtained from the Kaggle. The IDC regions of the images in this dataset have been restricted for easy retrieval. The breast cancer IDC data set contains 277,524 records, of which 78,786 are positive. The 277,524 images were classified using an IDC breast cancer dataset, with 78,786 positive IDC and 198,738 negative IDC, respectively. The authors introduce a new architecture of deep convolutional neural networks and attention mechanism for classification. The model achieves state-of-the-art levels of accuracy for IDC identification, setting a new benchmark for future studies.
FEATURES OF DEVELOPMENT OF INNOVATIVE ENTREPRENEURSHIPIN UKRAINE UNDERMODERN CONDITIONS
Authors:   Lutsk National Technical University, Vakhovych Iryna , Liutak Olena ,   Lutsk National Technical University, Kovalchuk Nadia ,   Lutsk National Technical University
Published: December 2023

The article examines modern trends in the development of innovative entrepreneurship in Ukraine under modern conditions. The key characteristics and mechanisms of forming an ecosystem for the support and development of startups, the key directions of which are various initiatives, accelerators, and support funds, are given. The trends regarding the share of innovatively active enterprises by types of economic activity and the number of introduced types of innovative products have been determined. The features of the policy for the development of startups and innovative entrepreneurship for the purpose of increasing
Pengaruh E-Service Quality Terhadap Kepuasan Belanja Online (Studi Pada Penguna Shopee Mahasiswa Aktif Angkatan 2018 STKIP PGRI Jombang)
Authors: Wulandari Dinda , Wahono Heru Totok Tri , Sulistyowati Shanti Nugroho , Masruchan Masruchan
Published: December 2023

Abstrak

Penelitian ini bertujuan untuk mengetahui pengaruh e-service quality terhadap kepuasan belanja online. Penelitian ini menggunakan variabel independen yaitu e-service quality. Variabel dependen nya kepuasan belanja online. Sampel penelitian ini adalah mahasiswa aktif angkataan 2018 STKIP PGRI Jombang. Sedangkan cara pengumpulan data dilakukan dengan cara kuisioner yang disebarkan pada 78 responden. Peneliti menggunakan metode desktiptif dengan pendekatan kuantitatif. Metode statistik yang digunakan peneliti adalah analisis regresi linier sederhana. Hasil penelitian ini menunjukkan bahwa ada pengaruh e-service quality dalam belanja online.
Pengaruh Pandemi Covid–19 Terhadap Pengeluaran Bulanan Mahasiswa (Studi Mahasiswa Angkatan 2018 STKIP PGRI Jombang)
Authors: Ismawati Mega Yuniar , Wahono Heru Totok Tri
Published: December 2023

ABSTRAKPenelitian ini bertujuan untuk mengetahui pengaruh pandemi covid-19 terhadap pengeluaran bulanan mahasiswa. Penelitian ini menggunakan variabel independen yaitupandemi covid-19. Variabel dependen nya pengeluaran bulanan. Sampel penelitian ini adalah mahasiswa aktif angkataan 2018 STKIP PGRI Jombang. Peneliti menggunakan metode desktiftif dengan pendekatan kuantitatif. Sedangkan cara pengumpulan data dilakukan dengan cara kuisioner yang disebarkan pada 75 responden. Sampel yang digunakan dengan rumus slovin. Metode statistik menggunakan analisis regresi linier sederhana. Hasil penelitian ini menunjukkan bahwa ada pengaruh pandemi covid1-9 terhadap pengeluaran bulanan dengan melihat hasil perhitungan peneliti dengan menggunakan SPSS 16.
Pengaruh Audit Tenure dan Fee Audit terhadap Kualitas Audit
Authors: Chasanah Ina Nikmatul , Sabrina Zafirah Nur , Makhsunnah Cindy Eka , Aziza Allisa Laily , Pramiana Omi
Published: December 2023

This study was conducted to test the effect of Audit Tenure and Fee Audit variables on Audit Quality. This research is a quantitative study. The population is taken from mining sector companies listed on the Indonesia Stock Exchange (IDX) from the period 2018 to 2021 which amounted to 71 companies. The sample in this study was 17 companies selected using the purposive sampling method. Data obtained a sample of 17 companies with a total sample of 68. The analysis technique used is logistic regression analysis with a significance level of 5%. The results of this study show that (1) Audit Tenure has a significant positive effect on Audit Quality, and (2) Audit Fee does not have a significant effect on Audit Quality.
Strategi Influencer Marketing Dalam Meningkatkan Customer Engagement
Authors: Ramadhani Putra , Dharmawan Mohammad Mahendra
Published: December 2023

Penelitian ini bertujuan untuk menjelaskan dan menganalisis strategi influencer marketing yang digunakan oleh akun Instagram sotoayamcakson dalam meningkatkan keterlibatan pelanggan (customer engagement). Dalam era pemasaran digital dan media sosial, influencer marketing telah menjadi alat yang berpengaruh dalam membangun interaksi yang kuat antara merek dan pelanggan potensial.

Studi deskriptif dalam penelitian ini akan menggambarkan bagaimana sotoayamcakson berkolaborasi dengan influencer Instagram untuk menciptakan konten yang menarik dan memikat. Analisa dilakukan dari jenis-jenis konten yang dihasilkan,pengumpulan data melalui pattern matching dan mengidentifikasi strategi pemasaran yang digunakan, serta respons dan interaksi pelanggan terhadap konten influencer.

Hasil dari penelitian ini menunjukkan bahwa sotoayamcakson berusaha untuk mengkombinasikan mega influencer hingga nano influencer. Kombinasi tersebut ditujukan guna untuk mendatangkan kesadaran terhadap produk dan keterlibatan dari para calon maupun para pelanggan loyal sotoayamcakson. Diharapkan hasil dari penelitian ini dapat memberikan dampak akademis mengenai strategi influencer marketing yang dilakukan oleh sotoayamcakson.
Tren Pemasaran Masa Depan
Authors: Rofiah Chusnul
Published: December 2023

Alat pemasaran adalah yang paling penting dalam kaitannya dengan kesuksesan bisnis (Labanauskaitė et al., 2020) sedikit literatur yang membahas AR di bidang real estate aplikasi yang disebutkan adalah hasil penelitian internet dan literatur yang ekstensif Munawar et al., (2020). Penelitian ini bertujuan untuk mengetahui semakin relevannya pemasaran media sosial dan augmented reality di pasar real estat perumahan terkait teknologi pendukungnya alat seperti augmented reality. Kontribusi penelitian ini terhadap literatur yang ada terkait erat dengan kesenjangan pengetahuan yang disebutkan sebelumnya. Penelitian ini menggunakan paradigma fenomenologi dengan metode penelitian kualitatif dan pendekatan Cyber fenomenologi (Rofiah, 2023) dengan desain Penelitian Sederhana Dengan Teori Triangulasi (Rofiah, 2021). Temuan : (1) Pemasaran Media Sosial : Menciptakan Awareness; Untuk Track Record; Sebagai Portofolio Perusahaan. (2) Konten Kreatif: Konten Yang Memiliki Interaksi Tinggi;Konten Untuk Portofolio; Konten Sesuai Trend/ Traffic; Konten Daily Office; Memakai Sound Trend;Posting Setiap Hari. (3) Teknologi Augmented Reality: Sebagai Bagian dari Produk
THEORETICAL AND METHODOLOGICAL PRINCIPLES OF ENSURING THE EFFICIENCY OF DEVELOPMENT OF COMPETITIVE POTENTIAL OF ENTERPRISES
Authors:   National Aviation University, Kolbushkin Yurii , Levchuk Anton ,   National Aviation University
Published: December 2023

The article is devoted to the study of the theoretical foundations of ensuring the effectiveness of the development of the competitive potential of enterprises. The essence of competitive potential is a comprehensive assessment of its capabilities, resources, knowledge, technologies and strategic direction, which contribute to the enterprise in identifying competitive advantages and ensuring stability in a competitive environment. The approaches of different authors to the definition of the essence of the concept of "competitive potential of enterprise" are analyzed. The principles of formation of competitive potential of enterprises are substantiated and supplemented. The factors influencing the formation and development of competitive potential are analyzed. A classification of methods for assessing the competitive potential is provided, and it is determined that this allows to systematize and study the most effective and adapted to the needs of the enterprise approaches to evaluation. The main aspects of the competitive potential of the enterprise are substantiated. It characterizes approaches to diagnostics and evaluation of competitive potential of enterprise (effective, reserve, resource). The influence of the war in Ukraine on the formation and development of the competitive potential of enterprises is analyzed. It is determined that ensuring the efficiency of the development of the competitive potential of enterprises requires a systematic approach, which allows enterprises to consider their competitive potential as an interdependent system, where each component affects the others, and accordingly requires a coherent and complete approach to development. It is substantiated that the development of the competitive potential of an enterprise can be considered as a dynamic process that requires constant adaptation and training. It has been determined that ensuring the efficiency of development of the competitive potential of enterprises requires an understanding of the global context, which helps enterprises to avoid risks and use the opportunities provided by the world economy.
ENVIRONMENTAL AND ECONOMIC STRATEGIES IN GREEN MARKETING
Authors:   Lviv Polytechnic National University, Bilyk Iryna , Kindii Marija ,   Lviv Polytechnic National University, Demchak Demian ,   Lviv Polytechnic National University
Published: December 2023

There is growing awareness in the world of the need for a balanced approach to development, which would take into account both economic and environmental aspects. Sustainable development has become a key goal for many modern societies, and one of the most important tools for achieving it is ecological and economic analysis. This article is devoted to the consideration of the concept of environmental and economic analysis and its application at different levels, from enterprises to countries, in the context of sustainable development. For the first time, the explosion of industrialization and successive ecological crises drew attention to the importance of preserving natural resources and minimizing the negative impact on the environment. However, the development of the economy has always been the focus of society's attention, and there was a need for tools that allow us to evaluate the efficiency of the economy along with its impact on the environment. This is how ecological-economic analysis was born, which integrates economic and ecological indicators to create objective assessments of sustainable development. Environmental and economic analysis promotes a balance between environmental and economic goals. In this study, we focus on the concept and methodology of environmental economic analysis, and examine its benefits for businesses seeking to succeed in green marketing and ensure the sustainability of their business. Attention is focused on the concept and methodology of ecological and economic analysis, and its main indicators and indicators are considered. Examples of successful implementation of ecological and economic analysis at various levels are provided, and the practical experience of countries that use ecological and economic analysis to improve sustainable development is investigated. Challenges related to the complexity of measurement and lack of access to data were discussed and the importance of a balanced approach between economics and ecology, where both sides coexist in harmony, was highlighted.
La ética en el Tractatus y la Conferencia sobre ética de Wittgenstein
Authors:   Universidad Autónoma Metropolitana-Iztapalapa, Guzmán Díaz Jonathan Alberto
Published: December 2023

El objetivo de este ensayo es precisar la relación entre la ética del Tractatus logico-philosophicus y la Conferencia sobre ética (1929-1930) de Wittgenstein. El punto de partida es la investigación de Javier Sádaba en Lenguaje, Magia y Metafísica (El otro Wittgenstein). De esta manera, la interpretación propuesta ahonda en temas como el silencio, la mística y el sentido de la vida; temas clave en ambas obras wittgensteinianas.
Translation Studies in the Era of AI: Characteristics, Fields and Significance
Authors: Fan Kaifang , Chunlei Wang
Published: December 2023

With the development of artificial intelligence in translation research, it is possible to form a new perspective on translation studies, which is translation studies from the perspective of artificial intelligence. Translation studies from the perspective of artificial intelligence are fundamentally based on artificial intelligence and are characterized by intelligence, situationality, and integration. The research fields of translation studies from the perspective of artificial intelligence mainly include the study of translation product quality and effectiveness, the study of translation processes, and the study of translation teaching. The emergence of translation studies from the perspective of artificial intelligence not only promotes a rethinking of theoretical models in translation research but also advances the transformation of research methods, expanding and deepening the contents of translation teaching. The emergence of translation studies from the perspective of artificial intelligence not only promotes a rethinking of theoretical models in translation research but also advances the transformation of research methods, expanding and deepening the contents of translation research.
Exceeding Destiny through Potency: The Strategies in Developing Community’s Arabica Coffee from a Collaborative Governance Perspective
Authors: Soviah Amrotus , Soetriono  , Suryawati Dina , Sisbintari Ika
Published: December 2023

This qualitative research delves into the development of community Arabica coffee from a collaborative governance perspective in the Sumberwringin sub-district, Bondowoso Regency, East Java province, Indonesia. The research results showed that the development was carried out through collaboration between the district government and professional institutions as policy facilitators. The strategies aimed at the development comprised five core elements, inter alia, 1) land (Perhutani’s properties), 2) technology (Puslitkoka), 3) human power (farmers), 4) orders (policies), and 5) treasury (banking). The development has succeeded in creating modern farmers who are independent in cultivating and processing Arabica coffee by complying with Good Agriculture Processes, Good Handling Processes, and Good Manufacturing techniques. This independence has succeeded in creating quality specialty coffee products with national and international organic certificates that have penetrated the national and international markets. The development of Arabica coffee eventually elevated the community’s income and welfare.
Sunitds (Solar Energy in IOT Integrated Thermal Distillation System) as an Alternative for Clean Water in Nunukan Regency
Authors: Tri Haryo Nugroho  , Safar Dwi Kurniawan  , Andi Asrifan
Published: December 2023

The water crisis issue has consistently been a concern for the residents of Nunukan Island in the Nunukan Regency, North Kalimantan, particularly during the dry season. In this study, experiments were conducted to develop a device capable of transforming the abundant seawater around Nunukan Island into clean water that can be utilized during the dry season. The research comprised several stages, including 1) planning, 2) design, 3) construction, and 4) testing, resulting in the creation of two devices: the SUNitds (Solar Energy in IoT Integrated Thermal Distillation System). This device utilizes thermal distillation to convert seawater into clean water and is integrated with Internet of Things (IoT) technology. Based on the conducted tests, the SUNitds device demonstrated the capability to produce water vapor, subsequently undergoing condensation.
Association Between Obesity and Postoperative Atrial Fibrillation in Patients Undergoing Cardiac Surgery: An Updated Systematic Review
Authors: Andrabi Syed Shireen , Shanghavi Keshvi V. , Anum Haider, MD  , Jaladi Poojitha , Godavarr Sai Tejeswi , Panchagnula Smruthi , Bai Karoona , Nagarajan Lavanya , Sharma Akhilesh , Jayakumar Arjun , Razzaq Waleed , Haider Ali
Published: December 2023

Postoperative atrial fibrillation (POAF) is a frequent and severe complication following cardiac surgery. While obesity is established as a risk factor for atrial fibrillation (AF) in non-surgical settings, its role in the postoperative period is still debated. This systematic review aims to assess the relationship between obesity and POAF in patients undergoing cardiac surgery. A comprehensive literature search was conducted in PubMed, Embase, Web of Science, and Cochrane Library, focusing on randomized controlled trials (RCTs) published until June 2023. Data were extracted independently by two authors and assessed using the Cochrane Risk of Bias Tool (RoB2). From an initial search of 1,284 articles, 11 studies met the inclusion criteria, with a range of sample sizes between 300 and 5,000 patients. The incidence of POAF in obese patients ranged from 30% to 54%, compared to 20% to 46% in non-obese patients. Five studies concluded that obesity was a significant risk factor for POAF, whereas four found no statistically significant relationship, and two reported an "obesity paradox," where obesity appeared protective or neutral regarding POAF risk. Our review provides evidence regarding obesity developing POAF after cardiac surgery.
Burnout and Emotional Intelligence: Their Relationship to Work Performance of Tourism Management Graduates
Authors: LAGMAN LIWLIWA B.
Published: December 2023

This paper aimed to examine the correlation between burnout, emotional quotient and work performance of Tourism Management graduates working in a tourism-related establishment. A descriptive-correlational quantitative research design was used, and data were gathered from N=100 Tourism graduates through random sampling using a structured survey questionnaire adapted to standard instruments to measure burnout, emotional intelligence, and work performance. Spearman's Rho was used to understand the strength of the relationship between variables. The results uncover that the respondent's level of burnout is low while the level of emotional intelligence and work performance are high. The study further reveals that burnout and the emotional intelligence of the respondents are significant and negatively correlated. The results also show a significant relationship between emotional intelligence and work performance. This implies that a high level of emotional intelligence reduces the likelihood of experiencing emotional fatigue and disassociation and has a positive impact on the worker productivity of the respondents.
Gambaran Karakteristik Penderita Kolelitiasis di Rumah Sakit Umum Daerah Moh. Ansari Saleh Kalimantan Selatan
Authors: Jamini Theresia , Trihandini Bernedeta
Published: December 2023

Cholelithiasis is a component of bile that accumulates, hardens and forms gallstones. The incidence of cholelithiasis is increasing every year. The incidence of cholelithiasis can be caused by various factors such as age, gender, education, weight and clinical manifestations experienced by sufferers. The purpose of this study was to describe the characteristics of cholelithiasis sufferers at Moh. Ansari Saleh, South Kalimantan. This research method uses a observational descriptive research design. The sampling technique used purposive sampling and used secondary data with a total sample of 32. Research show that the characteristics of respondents based on age were mostly 20-50 years old as many as 26 respondents (81.25%), the majority gender was female as many as 18 respondents (56.25%), the majority of respondents were overweight as many as 15 respondents (46 .87%) generally experienced upper right abdominal pain as many as 25 respondents (78.13%). It can be concluded that cholelithiasis occurs in the majority aged 20-50 years, female and overweight. In general, experience pain in the upper right abdomen, heartburn, nausea, vomiting and lack of appetite. The results of this study are expected to be a reference for underdeveloped professions to carry out health programs that refer to promotive and preventive efforts in carrying out nursing care processes in clinical settings.
Pengaruh Modifikasi Lauk Nabati pada Makan Siang Terhadap Daya Terima Pasien Non Diet di RSUD Tamiang Layang
Authors: Munifa Munifa , Natalia Pretty
Published: December 2023

Non-diet patients at Tamiang Layang Hospital often don't finish eating vegetable side dishes, so it is necessary to make changes to vegetable side dishes, namely by modifying the menu or recipe regarding ingredients, sizes, seasonings, and how to process them. The modifications made aim to improve the appearance and taste of vegetable side dishes, namely tofu and tempeh which are expected to increase the acceptance of non-diet patients. This study aims to determine the effect of modification of vegetable side dish recipes at lunch on the acceptance of non-diet patients at Tamiang Layang Hospital.This research is a quasy experimental study with a One Group Pretest-Posttest Design. The study was conducted in 2 stages, namely panelists and non-diet patients who were hospitalized at Tamiang Layang Hospital, East Barito Regency. Respondents in this study were 30 non-diet patients with certain criteria. Data analysis used the Mc Nemar and Wilcoxon tests. Result: Making a modified recipe for vegetable side dishes, namely tempeh nuggets and tofu cakes. It was found that 30 patients (100%) liked tempeh nuggets and 28 tofu cakes (93.4%) while non-diet patients liked tempeh nuggets and 16% for tofu cakes. The results of the McNemar test showed that there was an effect of modification of vegetable side dishes at lunch on acceptance, seen from the level of preference of non-diet patients at Tamiang Layang Hospital with p <0.05 and the results of the Wilcoxon test, there was an effect of modification of vegetable side dishes at lunch on acceptance, seen from leftovers. non-diet patients at Tamiang Layang General Hospital with p <0.05. Conclusion: There is an effect of modifying vegetable side dish recipes at lunch on the acceptability of non-diet patients at Tamiang Layang Hospital.
Pengaruh Pengembangan Sumber Daya Manusia Dengan Transformasi Digital Terhadap Keunggulan Kompetitif Berkelanjutan Peran Mediasi Perilaku Inovatif
Authors: Arif Donny , Safitri Mita Uji , Martah Varid
Published: December 2023

This research aims to find out whether human resource development with digitaltransformation and innovative behavior has an influence on the sustainable competitive advantageof SMEs in Surabaya. This research uses a questionnaire to collect data with a population of SMEsin Surabaya of 59,969 and samples were taken using the Slovin formula with a result of 99.83 andwill be rounded to 100. The method used in this research is descriptive quantitative analysis withcomparative causality and path analysis. The results of this research show 1) human resource development has a positive and significant effect on innovative behavior, 2) human resourcedevelopment has a positive and significant effect on sustainable competitive advantage, 3)innovative behavior has a positive and significant effect on sustainable competitive advantage, 4)digital transformation positive and significant effect on innovative behavior, 5) digitaltransformation has a positive and significant effect on sustainable competitive advantage
PENGARUH NILAI UTAMA ASN BerAKHLAK, WORKPLACE FRIENDSHIP, SELF EFFICACY DAN KECERDASAN EMOSIONAL TERHADAP KINERJA
Authors: Vikka Putri Makhfiroh  , Dani Rizana
Published: December 2023

This study aims to analyze the influence of the main ASN value BerAKHLAK, workplacefriendship, self efficacy, and emotional intelligence on performance in the ASN of the KebumenRegency Population and Civil Registration Office. Collecting data using a questionnaire with aLikert scale and a total sample of 36 respondents The sampling technique used in this research issaturated sampling. The hypothesis was tested using multiple regression analysis techniques, t test,f test and the coefficient of determination using SPSS for windows version 25.00. The results of thisstudy indicate that the main value of ASN BerAKHLAK partially has a positive and significanteffect on performance, workplace friendship partially has a negative and significant effect onperformance, self-efficacy partially has a positive and significant effect on performance, emotionalintelligence partially has a positive and significant effect on performance .The main value of ASN BerAKHLAK, workplace friendship, self-efficacy, and emotional intelligence simultaneously affectperformance.