bluuebunny/crossref_metadata_2025 huggingface dataset:
Menelisik Falsafah Nrimo Ing Pandum pada Manajemen Desa Wisata Ketingan, Sleman
Authors: Prayoga I Ketut Aditya , Yahya Azfa Naufal , Tarwaca Muammar Iqbal Khadafi
Published: February 2025

The philosophy of nrimo ing pandum is a concept of accepting fate in Javanese culture which is often misinterpreted as a fatalistic and resigned attitude. This research aims to reveal misconceptions about cultural values, namely the nrimo ing pandum philosophy which has become a fatalistic culture in the community managing tourist villages in Sleman Regency, then linking this to the case of stagnation in Ketingan Tourism Village, Sleman Regency, DIY in tourism destination management. Qualitative descriptive methods were used with data collection carried out through non-participatory observation and interviews with research subjects, namely the local community of Ketingan Tourism Village. The data obtained was then analyzed using categorization according to themes arranged based on the initial hypothesis. The results show that people's misconceptions about the true meaning of the nrimo ing pandum philosophy play a role in the stagnation of tourism village development. The fatalistic mindset that accompanies it makes it difficult for them to innovate and rise from stagnation even though they have entered a phase of decline. Poor destination management also plays a role in causing stagnation in this tourist village. So, it is necessary to transform the community's mindset regarding the true meaning of philosophy as well as increasing the capacity of tourism village managers through various training. Apart from that, policies and programs from the regional government are really needed so that the Ketingan Tourism Village can recover from tourism stagnation and develop again.
Sentimental Analysis of Product Review using Machine Learning
Authors: Chavan Swamini E
Published: February 2025

Sentiment analysis of product reviews plays a crucial role in understanding consumer feedback, improving customer
experience and making informed business decisions. This paper explores the application of machine learning and deep learning
algorithms to effectively classify and analyse the sentiment of product reviews. Traditional machine learning techniques, such as
Naïve Bayes, Support Vector Machines (SVM) and Random Forests are employed for sentiment classification based on
manually engineered features. Simultaneously, deep learning approaches like Convolutional Neural Networks (CNN) and Long
Short-Term Memory (LSTM) networks are leveraged to automatically learn complex representations from raw text data. The
study compares the performance of these methods in terms of accuracy, precision, recall and F1-score. Additionally, pre-trained
language models such as BERT are incorporated to enhance contextual understanding. Experimental results demonstrate that
deep learning models particularly LSTM and BERT, outperform traditional machine learning techniques in capturing
sentiments. This analysis provides valuable insights into the effectiveness of different algorithms in sentiment analysis tasks,
paving the way for more advanced applications in natural language processing and customer sentiment evaluation.
Blockchain Based Crowdfunding for Education
Authors: Islam Muzahidul
Published: February 2025

This paper presents method for transforming education funding through a blockchain-powered crowdfunding
platform. This platform aims to empower students, educators, and educational institutions. Our goal is to create a decentralized
environment where creative educational projects can receive financial support, providing assistance to students facing financial
barriers and enabling small schools to request funding for infrastructure and program improvements. In response to the
increasing demand for transparency and accountability in crowdfunding, our platform encourages collaboration among
developers to enhance features and functionalities, all while offering a user-friendly interface through Web3 technology. The
central focus is on fostering community involvement and attracting backing for educational initiatives, while also allowing the
platform to evolve and scale efficiently with the benefits of Polygon's scalability
Machine Learning in Bank Customer Churn Prediction: Improving Accuracy through Feature Engineering
Authors: Dias Jadyn
Published: February 2025

Customer churn is a critical challenge in the banking sector, where retaining existing customers is more cost-effective
than acquiring new ones. This study explores the role of feature engineering and model optimization in enhancing machine
learning-based churn prediction. Using a dataset of bank customers, various preprocessing techniques of categorical encoding,
feature scaling, and feature selection were applied. Model optimization was performed using hyperparameter tuning technique
of Randomized Search CV to refine key parameters. Further, the models were trained with only the most influential features of
customer complaints, number of products, age, account activity, and credit card ownership, resulting in improved computational
efficiency and interpretability while maintaining strong predictive performance. Multiple machine learning models were
evaluated, with XGBoost emerging as the most effective due to its ability to handle complex patterns and structured data
efficiently. The findings provide actionable insights for banks to implement targeted retention strategies, ultimately reducing
churn rates and improving customer engagement.
DETERMINAN INDEKS HARGA SAHAM GABUNGAN DENGAN NILAI TUKAR SEBAGAI VARIABEL MODERASI
Authors: Riswanto Gendy , Riyanto Wahyu Hidayat
Published: February 2025

The Indonesia Stock Exchange provides a platform for assessing the performance of all stocks that can be seen or listed on the Composite Stock Price Index. BI Rate, Money Supply, and exchange rate are selected as independent variables that are factors in the IHSG. This study aims to determine and understand the influence of Bank Indonesia interest rates, money supply, and Bank Indonesia interest rates and money supply on the Composite Stock Price Index, using the exchange rate as a moderating variable. The data used are secondary data for the period 2021-2023 with regression analysis using Smart PLS software. The results of the analysis show that the BI rate and money supply have a significant influence on the Composite Stock Price Index. Conversely, the exchange rate shows an inability to moderate or weaken the relationship between the BI rate and money supply on the Composite Stock Price Index.. The implications of this research are to design effective policies in maintaining the stability of the capital market and exchange rates by the government and financial authorities as well as the basis for making investment decisions, especially anticipating the impact of exchange rate fluctuations on stock market movements.
On multivariate polynomials achievable with quantum signal processing
Authors: Laneve Lorenzo , Wolf Stefan
Published: February 2025

Quantum signal processing (QSP) is a framework which was proven to unify and simplify a large number of known quantum algorithms, as well as discovering new ones. QSP allows one to transform a signal embedded in a given unitary using polynomials. Characterizing which polynomials can be achieved with QSP protocols is an important part of the power of this technique, and while such a characterization is well-understood in the case of univariate signals, it is unclear which multivariate polynomials can be constructed when the signal is a vector, rather than a scalar. This work uses a slightly different formalism than what is found in the literature, and uses it to find simpler necessary conditions for decomposability, as well as a sufficient condition – the first, to the best of our knowledge, proven for a (generally inhomogeneous) multivariate polynomial in the context of quantum signal processing.
Impacto de las crisis dot-com, Subprime, europea y Covid-19 en la morosidad bancaria: México
Authors: Morales Castro José Antonio , Espinosa Jiménez Patricia Margarita , Enríquez Guadarrama Graciela
Published: February 2025

En este artículo se analiza el impacto que tienen las crisis dot-com, Subprime, europea y de Covid-19 en los índices de morosidad de los siete bancos más grandes de México. Para cumplir con este objetivo, se calcularon los índices de morosidad de los siete bancos en cada una de las crisis; y mediante regresiones múltiples por mínimos cuadrados con variables dummy que representan cada una de las crisis y con la variable tamaño de la cartera de créditos se midió su impacto en la morosidad. En los resultados se observó que la crisis dot-com aumentó en mayor magnitud la morosidad, las crisis Subprime y europea tuvieron menor impacto, y la crisis de Covid-19 modificó en menor medida los índices de morosidad. El tamaño de las carteras de créditos bancarias ha aumentado constantemente entre 2000 y 2022, mostrando una relación variable con el índice de morosidad. Además, se observó que conforme a los valores de los coeficientes de las regresiones cada una de las crisis impacta de manera diferenciada a cada banco.
Transfer Learning and Handcrafted Features Ensembles for Ultrasound Breast Cancer Image Classification
Authors: Kaplum Foleis Vanessa , Aparecida Andrade Bianca , Bergamo Shigihara Henrique , Mendes Lemes Dimas Augusto , Picolo José Guilherme , Feijó Junqueira Bernardo , Ribeiro Sales Guilherme , Corso Valentino , S. Bezerra Cides
Published: February 2025

Breast cancer is the most commonly diagnosed cancer in women. Its diagnosis via ultrasound imaging largely depends on the technical skill of the radiologist. This study developed a binary classification system for breast lesions, combining transfer learning models and handcrafted features in ultrasound images. Pre-trained CNNs like InceptionV3, EfficientNetB4, ResNet50, and VGG16 were used, along with SVM-classified handcrafted features. Models were individually analyzed and combined using late-fusion ensembles. ResNet50 achieved an F1-score of 81.97%. The best late-fusion ensemble model reached an F1-score of 83.90%. In the cross-dataset evaluation, the top late-fusion ensemble model in the development dataset scored an F1-score of 88.70% and 78.20% in the test BUSI and BUID datasets, respectively. These results emphasize the robust potential of a late-fusion ensemble that combines CNN transfer learning and handcrafted features to classify breast lesions in ultrasound images.
Federated Learning in Breast Cancer Diagnosis
Authors: V. G. Barbosa Gleidson , Ferreira Rodrigues Leonardo Gabriel , F. Rodrigues Moreira Larissa , Backes André Ricardo
Published: February 2025

Breast cancer, which accounts for 29.7% of cancer cases among women and has a mortality rate of approximately 16.5%, it is the most common cancer in Brazil. To enhance early detection and minimize the occurrence of advanced cases, pathologists are increasingly utilizing deep learning techniques to analyze histopathological images. This study investigates and compares the performance of two convolutional neural networks, AlexNet and ResNet50, in federated and centralized training settings. By employing the BreakHis dataset, the research explores the effectiveness of federated learning in securely distributing model training across multiple clients and contrasts it with traditional centralized training approaches. This study investigates whether federated learning can achieve performance close to that of centralized approaches while ensuring privacy for breast cancer histopathology image classification. It is hypothesized that federated learning can provide comparable results to centralized approaches while ensuring the confidentiality of patient data. Our results confirm that federated learning performs similarly to centralized learning with the added benefits of maintaining privacy and supporting collaboration among multiple clients. The findings aim to advance the state of the art in breast cancer detection, addressing both the challenges of privacy and data distribution and the impact of different training methodologies on model performance.
RECUSA A FUGA
Authors: Bento Sergio Guilherme , Martins Gabriela
Published: February 2025

O artigo busca analisar poemas do livro Fundo Falso, obra finalista do Jabuti em 2019, da poeta Mônica de Aquino, à luz da corrente literária zoopoética. Maria Esther Maciel, maior pesquisadora da zoopoética no Brasil, oferece reflexões sobre a trajetória histórica da construção da zoopoética e termos que serão usados como base teórica, pois problematizam e contextualizam a representação dos animais no nível do poema, bem como o conceito de “outridade”, comparando a relação com o animal e a razão humana. Além disso, Jacques Derrida também será objeto teórico com seu livro O animal que logo sou, que disponibiliza forte reflexão sobre o sentimento de vergonha do ser humano ao estar nu diante de um animal – o termo “animal-estar”, que reflete a presença animal e os sentimentos humanos perante a ela, fortemente expresso ao longo da pesquisa. Derrida também reflete sobre o olhar animalesco como forma de comunicação, devido à ausência de linguagem humana no animal. Assim, a pesquisa dispõe de termos teóricos da corrente da zoopoética a fim de analisar os poemas de Mônica de Aquino que contêm representações animalescas.
Narrativas e fábulas transferenciais no setting analítico
Authors: Pinto Márcia de Gois , Araújo Eneida Maria Gurgel de
Published: February 2025

Envolver-se poeticamente e respeitar as capacidades literárias eram características de Sigmund Freud. Inveterado em suas cartas endereçadas a amigos, que encontrara no percurso de sua vida, mostrou ensejo da construção de uma nova ciência psicológica, posteriormente chamada de psicanálise. Estava demasiadamente presente a interlocução do novo saber e as produções literárias dos escritores, que tomava como sábios. Nos atendimentos clínicos das histéricas – principal demanda da época – Freud percebeu uma relação clínica a partir das narrativas e percepções das fantasias. Para esta relação chamou de transferência, o que vem a ser o motor da análise. Na leitura feita de Miguel de Cervantes, O colóquio dos cachorros, apresenta-se como um esboço semelhante ao vivido pelo analista. Neste sentido, o presente trabalho busca fazer a interface da literatura de Cervantes e o saber construído por Freud. Para tanto, será utilizado a literatura de Freud (1900, 1908, 1917) e Laplanche (1992 e 1993).
Editorial
Authors: Silva Frederico de Lima
Published: February 2025

Editorial.
Eksistensi Laris Kartasura di Kalangan Mahasiswa: Penilaian Tiga Variabel Pendorong Keputusan Pembelian
Authors: Noor Aisya , Naurah Hasna Salwatun , Faturachman Muhammad Syahrul , Solekhah Liandawati
Published: February 2025

This study aims to examine the influence of price perception, product completeness, and brand image on purchasing decisions. Each variable has several indicators, with one to two statements submitted in a questionnaire to respondents. Through data collection on the level of agreement of 105 students, the results were obtained to be analyzed using multiple linear regression techniques. Analysis of the price perception variable shows a significant influence of the variable on purchasing decisions. These results indicate that price is one of the factors that has a significant impact on students' decisions in making purchases at Laris, Kartasura. Analysis of other variables shows an influence but is not significant, namely on the product completeness and brand image variables. Both variables are tested to see how product variations in meeting heterogeneity of needs and positive brand image can be a major factor in consumer behavior in the form of purchases
Pengaruh Penggunaan Artificial Intelligence (AI), Literasi Digital, Pengalaman Pengguna terhadap Loyalitas Pelanggan pada E-commerce Shopee
Authors: Rabani Savira Rahma , Alfadhilla Dina Amalia , Sari Meifa Erika , Fii Ilayana Nantri Kusuma
Published: February 2025

The increasingly sophisticated technological advances in business activities encourage Shopee e-commerce to continue to improve the quality of service in order to keep consumers loyal. This study aims to analyze the effect of artificial intelligence (AI), digital literacy, and user experience on customer loyalty in Shopee e-commerce. The method used in this study is a quantitative associative approach with data collection through a questionnaire using a Likert scale. The sampling technique applied is non-probability sampling with a purposive sampling approach using the Lemeshow formula. The results of this study reveal that there is a positive and significant influence on the use of artificial intelligence (AI) and digital literacy on customer loyalty in Shopee e-commerce. However, user experience has a negative and insignificant effect on customer loyalty in Shopee e-commerce. Therefore, good digital literacy can help Shopee e-commerce consumers understand the quality of Shopee's services that continue to increase with the use of artificial intelligence (AI) so that it can influence consumers to always be loyal to Shopee e-commerce. However, with the low consumer trust in the Shopee e-commerce user experience, consumer loyalty does not have a positive effect.
Pengaruh Citra Merek, Promosi dan Harga terhadap Keputusan dalam Membeli Produk Jejahits.id
Authors: Sijabat Dormauli
Published: February 2025

The aim of this research is to analyze the significance of the influence of brand image, promotion and price on the decision to purchase Jejahits.id products among Jejahits.id consumers. The type of data used in this research is quantitative data with the data source used being primary data. The sampling technique used was purposive sampling with a total of 100 respondents. Data collection in this research used a questionnaire. The data analysis technique uses multiple linear regression analysis, t test, F test, and coefficient of determination test (R2). The results of this research obtained the equation Y = 1.92 + 0.306 X1 + 0.187 X2 + 0.618 X3+e. The t test results show that brand image has a significant effect on the decision to buy Jejahits.id products, promotion does not have a significant effect on the decision to buy Jejahits.id products and price has a significant effect on the decision to buy Jejahits.id products. The results of the coefficient of determination show that the brand image, promotion and price factors are 75.5% and the remaining 24.5% is influenced by factors outside the variables studied such as: service quality, location and product quality
Synthesis and characterization of zeolite obtained from Toraja natural montmorillonite
Authors: Taba Paulina , Fauziah St. , Natzir Hasnah , Soekamto Nunuk , Sarungallo Rosalia , Nahru Nur , Astuti Yuli , Amin Ida
Published: February 2025

Zeolites are an alternative material for treating heavy metal-containing
waste. Synthetic zeolites exhibit excellent purity and particle size
uniformity, which has led many researchers to explore their synthesis,
including the use of natural minerals. This study aims to synthesize
zeolites using the hydrothermal method with aluminosilicate sources from
Toraja natural minerals. Toraja natural minerals, primarily composed of
montmorillonite, hydrothermally react with NaOH at varying concentrations to
form analcime (ANA) and cancrinite (CAN) zeolites. The research also
examined the reaction time for zeolite formation. X-ray diffraction (XRD)
analysis revealed that ANA and CAN exhibit tetragonal and hexagonal crystal
structures, respectively. The Si/Al molar ratios were determined to be 2.40
for ANA and 1.27 for CAN, based on EDX analysis. The Fourier Transform
Infrared (FTIR) spectra exhibit typical absorption bands within the spectral
region of 700-400 cm??, with increasing intensity observed at higher NaOH
concentrations. ANA zeolite displays distinctive spectral features below 650
cm??, attributed to double-ring vibrations in its structure. In contrast,
triplet bands at 676, 622, and 565 cm?? in the synthesized materials confirm
the characteristic structure of cancrinite. SEM analysis revealed
trapezium-shaped analcime crystals with an average size of 24 ?m and
rod-shaped cancrinite crystals with a length of 1.66 ?m. Toraja minerals,
particularly montmorillonite, contain secondary building units that form
different zeolites depending on reaction conditions.
1944, 1948 and other cultural traumas. Bence Szabolcsi’s path from the labour camp to Zhdanovshchina
Authors: Dalos Anna
Published: February 2025

My study focuses on a turning point in the career of the influential music
historian, Bence Szabolcsi (1899-1973). I argue that the year 1948 brought
about a significant change in Szabolcsi?s scholarly work in several regards.
Not only because he reached the peak of his career, as evidenced by his
election as a member of the Hungarian Academy of Sciences, but also because
his scientific interests, his way of speaking, and his methodology changed
under the increasing political pressure which formed even in Hungary under
the impact of the so-called Zdanov Doctrine. As a typical example, my study
presents the genesis of Szabolcsi?s short monograph on Antonio Vivaldi and
pre-classical music, Eur?pai virradat [European Dawn] written between 1944
and 1948. The study is based on primary sources preserved in the Archives of
the Hungarian Academy of Sciences that have not been previously explored.
The two lives of Aleksandr Andreevic Arhangel΄skij and Aleksandr Vasil΄evic Nikol΄skij: The fates of masters of Russian sacred music in a pivotal era
Authors: Zvereva Svetlana
Published: February 2025

This article delineates the main developments of Russian choral music in the
late nineteenth and the early twentieth centuries by examining the lives of
Aleksandr Andreevic Arhangel?skij and Aleksandr Vasil?evic Nikol?skij. It
considers transformations in the choral landscape during the pivotal years
of the February and October revolutions in Russia and subsequently in the
Soviet period. It highlights the circumstances in which Russian sacred music
found itself in the new state and reveals how, in part thanks to
Arhangel?skij and Nikol?skij, traditional practices were sustained - both
within the USSR and among the Russians abroad.
Mokranjac’s garland-weaving procedures in the songs from Prizren by Petar Djordjevic - analytical view
Authors: Bozidarevic Sasa , Milic Dragana
Published: February 2025

Songs from Prizren (first and second cycle), composed by music pedagogue and
composer Petar Djordjevic, represent a kind of reminiscence of the Mokranjac?s
garlands tradition, with admixtures of the specific Metohija (Prizren)
idiom. Composed in the 1970s and 1980s, they contrast with the then-popular
musical trends and prevailing stylistic orientations, both through the
applied compositional techniques and through the composer?s distinctive
approach to folklore traditions with marked autochthonous (local)
characteristics. This paper will examine and present the processes of
artistic adaptation of folklore through analytical and comparative research
methods, correlating these techniques with related examples from Mokranjac?s
Garlands. This study aims to highlight the specific and indisputable
influence of Stevan Mokranjac?s garland model on the structuring of Songs
from Prizren across all relevant segments of the musical flow.
Water temperature drives local variability in the life cycle of Onychogomphus forcipatus (Odonata: Gomphidae) in a Mediterranean river
Authors: Maynou Xavier , Martín Ricard , Norling Ulf , Murria Cesc
Published: February 2025

Geographic variation in life history traits of dragonflies has been extensively studied, mainly along latitudinal clines, but life history variation at a local scale has received less attention. We describe the life cycle differences between two populations of Onychogomphus forcipatus unguiculatus (Odonata: Gomphidae) located in close proximity in a small Mediterranean river basin in the northeast of the Iberian Peninsula. While the larval growth pattern recorded in the middle course of the river showed an exclusively univoltine pattern, the one found in one of its tributaries revealed a mixed pattern of uni- and semivoltinism. The difference in water temperature between these sites, especially during the cold months, is probably the environmental factor underlying the differences in voltinism. Given the spatial proximity between the two populations, 7.5 km apart on a straight line, our finding suggests phenotypic plasticity of this taxon as the mechanism of adjustment of its life cycle to small variations in water temperature. Overall, our results may help to understand how this species can respond to variations in water temperature under climate change or other human-mediated impacts.
Wave Hydrodynamics and Sediment Transport inside Coastal Plant Canopies
Authors:   , Ions Kristian
Published: February 2025

Globally, coastal vegetation is typically found in sheltered environments. Vegetation species such as mangroves, seagrasses and saltmarshes can protect coastal zones through wave attenuation. The feedback between these plant species and the waves and sediment has remained unclear. In this Thesis, two approaches were taken to further our understanding of hydrodynamics and sediment transport through coastal canopies. Firstly, a novel machine-learning approach was developed to predict wave attenuation through rigid vegetation. The results were comparable to the widely used process-based model XBeach predictions for the limited range of hydrodynamic conditions tested. The model provided a data-agnostic approach, which can be used for a broader range of complex, nonlinear regression-type problems in coastal engineering. The data scarcity was addressed through efficient sampling strategies combined with processed-based modelling. The result was a sizeable synthetic database from which the machine learning was trained. Secondly, the biomechanical properties of vegetation were explored through an experimental study. The role of vegetation configuration and flexibility were linked with turbulence generation and near- bed orbital velocity. These were then related to the formation of bedforms and ripples on the seabed. Both rigid and flexible plant mimics provide attenuation to near-bed velocity. Denser, rigid vegetation provides greater velocity attenuation. Vortex shedding was observed around rigid plant mimics but not for flexible plants. When ripples form within vegetation canopies, sediment resuspension is dictated by vortex ripple processes. Under certain conditions, ripples will not form due to the vortex shedding around rigid plant mimics. Rigid plant mimics substantially reduced suspended sediment concentration compared to bare bed cases. A modified shield parameter was proposed to predict near-bed sediment concentration within rigid, flexible vegetation canopies.
Interpreting Genotype×Environment Interaction in Rice (Oryza sativa L.) Using Eberhart and Russell Model
Authors: Makwana N. R. , Prajapati D. B. , Parmar M. B. , Sondarava P. M.
Published: February 2025

The experiment was laid during kharif (June–November, 2022) in three paddy growing regions of Middle Gujarat, India to determine the magnitude of G×E interaction and detect stable high-yielding and specifically performed genotypes for target environment(s). Thirty-two rice genotypes including the standard checks were evaluated for fifteen yield and their attributing characters at three locations (Nawagam, Dabhoi and Thasara) in Randomized Block Design. The results revealed that the mean sum of squares due to genotypes was significant for all of the traits evaluated in all individual environments indicating a sufficient amount of diversity among the different genotypes tested. The linear component of G×E interaction was found significant for days to 50% flowering, productive tillers plant-1, panicle weight, number of grains panicle-1, grain yield plant-1 and harvest index, which indicated linear response of genotypes to changing environments and hence genotype performance would be predictable for those characters. The predominance of linear components suggested that linear regression accounted for a large portion of the G×E interaction for these traits and may help in the accurate forecasting of genotype performance across environments. Four genotypes i.e., IET-28354, IET-29538, IET-29774 and IET-28703 were found stable in all the environments with wider adaptability for grain yield plant-1.
Evaluation and Validation of Different Integrated Pest Management Modules for Field Pea
Authors: Chauhan J. V. , Panickar Bindu K. , Prajapati A. R. , Gothi H. R. , Padhiyar B. M.
Published: February 2025

This research was carried out during rabi (November-March) 2020–21 at Agronomy Instructional Farm, S. D. Agricultural University, Sardarkrushinagar, Gujarat, India to evaluate the efficacy of seven different Integrated Pest Management (IPM) modules against insect-pests of field pea. Five IPM modules were tested for their efficacy against insect-pest. The result revealed that the module M4 (Border crop with chickpea+treating seeds by imidacloprid 600FS @ 3 ml kg-1 seed+yellow sticky trap @one module-1+sprays of azadirachtin 1500 ppm @ 40 ml 10 l-1 water+HaNPV 250 LE @ 10 ml 10 l-1 of water+profenophos 50 EC @ 10 ml 10 l-1 water) exhibited significantly minimum population of 1.47 aphid 10 cm-1 shoot, 1.00 leafhopper trifoliate-1, 0.62 whitefly trifoliate-1, 0.08 larva plant-1 with lowest pod borer damage (0.30%) and thus proved to be most effective module which was at par with module M1. The highest field pea seed yield (1250 kg ha-1) was also harvested from module M4. The maximum (42.04%) increase in yield was obtained in the plots framed with M4 followed by module M1. The avoidable losses in field pea yield were minimum (9.36%) in module M1. The highest (`Rs. 87,500 ha-1) gross realization was obtained from the plots framed with module M4. The highest Protection Cost: Benefit Ratio (PCBR) was obtained in module M4 (1:3.56) which clearly indicated that module M4 was also the most economical module amongst all.
Corrupción y control interno en instituciones públicas de América Latina: ¿Una relación existente?
Authors: Padilla Cruz Claudia Mirla , Cardoso Espinosa Edgar Oliver
Published: February 2025

La implementación del control interno en las instituciones públicas de América Latina, específicamente en Bolivia, Brasil, Chile, Colombia, Costa Rica, México, Nicaragua, Uruguay y Venezuela, no ha tenido un impacto significativo en el índice de percepción de la corrupción emitido por Transparencia Internacional en el período 2018-2023. Se realizó un estudio del estado del conocimiento, encontrando que la legislación de los países estudiados determina que las áreas de contraloría sean responsables del control interno. Asimismo, el modelo de control utilizado en todos estos países es el propuesto por el Committee of Sponsoring Organizations of the Treadway Commission (COSO). El propósito de la investigación fue describir y analizar los modelos de control interno utilizados en las instituciones públicas de los países de América Latina estudiados y su posible relación con el índice de percepción de la corrupción. Para el desarrollo de la investigación, se obtuvo una muestra con el software STATS 2.0, con un 10% de margen de error y un 95% de nivel de confianza. De los diecinueve países de América Latina, se seleccionaron nueve, utilizando como método de análisis la revisión documental de la legislación vigente y los resultados obtenidos por Transparencia Internacional. Como principal resultado, se determinó que no existe una relación directa entre el modelo de control interno implementado por las instituciones públicas de los países estudiados y la percepción de la corrupción.
Influence of The Duration of Remission of an Addicted Relative on the Manifestation of Co-Dependent Behavior in The Family
Authors: Ignatenko A. P. , Azarko E. M.
Published: February 2025

Introduction. Co-dependence in the article is considered as a family problem, where a person, being close to the addict for a long time, learns to suppress his feelings, thoughts and needs. As a consequence, he/she shows low self-esteem, high level of anxiety, aggressiveness, distrust to people and the world. The connection between co-dependence and addiction is considered on the example of the phenomenon of increasing co-dependent care during the increase in the manifestations of dependence of a close relative. The "12 Steps" program as a condition for long-term remission in an addicted person, in our opinion, is an important criterion for reducing the level of co-dependent behavior in his or her close relatives.Objective. To investigate the influence of the duration of remission of an addicted relative on the level of co-dependence manifestation in the family.Materials and methods. The methodological tools of the study included the author's questionnaire, the Kuhn-McPartland test "Who am I?" (Modification by T. V. Rumyantseva), the interpersonal dependence test by R. Hirschfield (adaptation by O. P. Makushina) and the test "Diagnosis of the type of communicative attitude" by V. V. Boyko. Data processing was carried out by comparing mean values and one-sample t-criterion.Results. The empirical object of the study is people exposed to the problem of co-dependent behavior (n=147) and students of the Faculty of Psychology as a control group (n=76). In the course of the study, the data on the state of actualized co-dependence in the study group with a pronounced negative attitude and high level of insecurity were obtained. Along with this, the assumption about the positive influence of long-term remission of a dependent relative on the level of co-dependence manifestation in the family was confirmed.Discussion. It has been empirically proved that respondents subjected to the problem of co-dependence are characterized by an acute need for emotional closeness with another and acceptance from others. This can be traced in the emotional discomfort that co-dependents experience due to perceived rejection. Also, the obtained results indicate a decrease in the level of interpersonal dependence and an increase in personality reflection in respondents who have a co-dependent relative in remission for more than 10 years. In addition, the relatives of persons in remission for a longer period of time are characterized by a decrease in negative communicative attitudes, which favorably affects the process of communication, positive attitude towards the interlocutor, and a decrease in control in communication.
Prevalence and Risk Factors for Postpartum Depression in eThekwini District of KwaZulu-Natal Province of South Africa
Authors: Hoque Akm Monjurul , Hoque Maariyah , Hoque Rafiul , Buckus Somaya
Published: February 2025

Despite being a global public health issue, postpartum depression (PPD) is comparatively more common in underdeveloped nations, notably those in Sub-Saharan Africa. In South Africa (SA), primary healthcare facilities do not regularly screen for PPD, despite reports that it compromises the health of mothers and children. Finding the prevalence of PPD and its contributing factors in a sample of clinic attendees in a subdistrict of eThekwini, SA was the aim of this study. A sample of 399 women in a health facility participated in a cross-sectional, quantitative study. Information on socio-demographics and obstetric history was gathered using a self-administered questionnaire. Data on depression symptoms were gathered using the Edinburgh Postnatal Depression Scale (EPDS). Women who gave birth to infants after ten days were asked to complete the (EPDS) questionnaire. A score of 13 out of a possible 30 was the cut-off point for the EPDS. Most of the women (60.9%) had scores of 13 or higher, indicating symptoms of PPD. Mode of delivery was significantly linked to PPD on logistic regression (OR = 2.287, p-value 0.007, 95% CI of 1.25 to 4.16), with Caesarean section deliveries being associated with a higher risk of depressed symptoms than normal vaginal delivery. Full-time working women were shown to be protective, as evidenced by their low OR of 0.45 (p = 0.02 and 95% CI of 0.23 to 0.88). The findings support the necessity of routine screening for PPD symptoms in a Primary Health Care facility in SA as they demonstrated the larger percentage of women who suffer from PPD yet go undiagnosed and untreated.
Understanding the future operating environment: exploring human factor in the military
Authors: Blehová Mária , Pikner Ivo
Published: February 2025

The future security environment outlined in the various strategic documents of selected countries and NATO has been extensively analyzed to understand the possible challenges for the future armed forces. However, while these documents emphasize number of external factors and technological developments, less attention has been given to the human factor and its role in shaping future military effectiveness. This article seeks to bridge this gap by identifying the intersections between emerging operational environments and the behavioural characteristics required for the future forces. Through an examination of anticipated changes and challenges, the study focuses on how the human factor must evolve to meet the demands of increasingly complex security contexts. The findings highlight key recommendations for strengthening behavioral and interpersonal traits in armed forces which are essential for operational effectiveness in the future. These recommendations, aimed particularly at senior military leadership, offer a practical guide for preparing personnel to thrive in the rapidly evolving security environment and ensuring mission success in the face of emerging challenges.
Book review: Decision-making of the state in a crisis situation
Authors: Vargová Patrícia
Published: February 2025

KOVÁČOVÁ, S. – KOVÁČOVÁ, E. 2023. Rozhodovanie štátu v krízovej situácii [Decision-making of the State in a Crisis Situation]. Praha: Leges, 2023, 182 p. ISBN 978- 80-7502-701-6.
Codes of ethics in a contextual comparative analysis of the security forces of the Czech Republic
Authors: Nesiba Jiří , Kolář Ondřej , Smolík Josef
Published: February 2025

This article examines the Codes of Ethics governing security forces in the Czech Republic as of 2024. The study aimed to conduct a comparative analysis of the ethical codes of the Police of the Czech Republic, the Prison Service of the Czech Republic, and the Customs Administration of the Czech Republic. The study focuses on key ethical values such as dignity, professionalism, and the fight against corruption, and explores ethically contentious issues, such as the use of mini-cameras for evidence collection in complaint cases. The findings reveal common ethical principles among these agencies, but also highlight differences in their approach to certain issues. The study identifies areas requiring further attention, particularly in employee training and promoting work-life balance. This analysis provides valuable insights into the effectiveness and comprehensiveness of the ethical codes and suggests directions for their further improvement in practice.
Management of Student Empowerment: The Case Study of Improving Skills and Character Independence of Santri at Islamic Boarding School
Authors: Syafnan Syafnan , Nikmah Faridhatun , Anwar Kasful , Putra Eka , Ikhsan Muhammad Jusuf Nur
Published: February 2025

This study aims to determine and analyse the management of santri empowerment through Bekatren (Pesantren Economic Agency) at Pesantren Al-Anwar 3 Sarang Rembang. The empowerment intends to shape the character of santri in order to improve the skills and character of santri independence. Santri are emphasised not only to know religious knowledge, but also social knowledge, especially in the economy. This research uses descriptive-qualitative research methods. While the research model focuses on case studies. Data collection used is in-depth interviews, observation, and documentary (library content analysis). The data analysis techniques used are data condensation, data presentation and conclusion drawing. The results showed that the economic empowerment of pesantren was carried out through three business models carried out by Bekatren, namely Kopotren, AWRO water depot, and AWRE convection. The three efforts developed in the participation of the sustainability of the Pesantren Economy (Ekotren) by maximising resources, one of which is santri. Bekatren plays a role in improving the quality of human resources through sewing course training for convection, water depot business actors, and work empowerment through cooperatives. Bekatren plays a role in honing skills to form the character of independence in the entrepreneurial spirit by developing a trained attitude to be independent, honest, trustworthy, respectful of others. So that the trained attitude can shape the character of the santri.
Kontribusi Pembelajaran Berbasis Riset Terhadap Motivasi Berprestasi di Madrasah Unggul Indonesia
Authors: Bulan Sri , Sugianto Hendi , Rusydiyah Evi Fatimatur , Agustina Andre
Published: February 2025

Research-based learning in superior madrasas is prepared as a means to instill love of knowledge and empathy for the environment and encourage students to reason critically, creatively and independently which is the principle in the independent curriculum. This study aims to examine the contribution of research-based learning at MAN Insan Cendekia Pekalongan to student achievement motivation. The research method used is qualitative with data collection techniques through unstructured interviews, field observations, and documentation. In addition, research instruments were given to 95 students who became the initial population of the study using google forms to ensure the possibility of diversity of perspectives on research-based learning and motivation for achievement. Furthermore, data collection was carried out by purposive sampling to 17 students who participated in the preparation of the national scientific paper competition to dig up achievement data for achievement (nAch) in depth. The results of the study showed that there was a significant contribution of research-based learning to students' motivation for achievement which was shown by the desire to do something more than ordinary learning (nAch1), the desire to solve problems in research (nAch2), the desire to take personal responsibility in research (nAch3), and the desire to show good performance in research (nAch4). Overall, RbL contributes to  facilitating students to think critically, creatively and independently which is part of the expected character in the independent curriculum.
Education and Human Resource Development with Neuro-Linguistic Programming (NLP) Techniques: A Case Study of Muhammad Al-Fatih's Leadership
Authors: Salamun Salamun , Masrur Moh.
Published: February 2025

Education and human resource development (HR) play an important role in achieving individual and organizational success, with Neuro-Linguistic Programming (NLP) as an effective technique to achieve positive change. This study analyzes the application of NLP in the context of education and human resource development through the case study of Muhammad Al-Fatih, the visionary leader and conqueror of Constantinople. This research highlights how NLP principles, such as mind control, communication mastery, and goal design, are applied in the leadership and educational strategies that shape the character of Al-Fatih. Qualitative methods with a historical approach are used to analyze primary and secondary sources related to Al-Fatih's life. The results of the study show that NLP plays an important role in the formation of character and the development of its competencies, with the application of these techniques in education, such as vision and motivation coaching, contributing to its success. This study recommends the integration of NLP in modern educational curricula to produce resilient, adaptive, and visionary human resources.
Strengthening Islamic Value of Rahmatan Lil Aalamin for Lampung Society by the Indonesian Ulema Council (MUI)
Authors: Amirudin Amirudin , Romlah Romlah , Yudha Gesit
Published: February 2025

The purpose of this study is to determine the role of the Indonesian Ulema Council (MUI) in promoting Rahmatan Lil Aalamin values in Lampung society, which is diverse in terms of ethnic, religious, and cultural backgrounds. The concept of Rahmatan Lil Aalamin, which teaches Islam as a mercy to all nature without regard for ethnicity, religion, or race, is particularly relevant in a pluralistic society like Lampung. This study employs a qualitative approach, with data gathered through in-depth interviews, participatory observation, and documentation studies. The findings revealed that MUI actively engages in educating the public about the value of tolerance, justice, and unity through various educational programs, seminars, and social media. MUI also works with other religious organizations to improve understanding of religious moderation and Rahmatan Lil Aalamin principles. Although challenges such as radicalization and differences in religious understanding persist, Lampung's local wisdom, such as cooperation and deliberation, demonstrates the application of these values. Women play an important role in shaping the character of a tolerant generation. This study suggests that MUI should continue to strengthen inter-organizational cooperation and tap into the potential of local wisdom to create a more harmonious and inclusive society in Lampung.
Клинический случай лечения двустороннего анзеринового бурсита с применением биорегуляционной терапии (клинический отчёт).
Authors: Бабовников Алексей
Published: February 2025

Резюме.
В данной публикации представлен клинический случай лечения анзеринового бурсита с применением биорегуляционной терапии у женщины в возрасте 68 лет. Диагноз: М 70.5 Другие бурситы коленного сустава - двусторонний анзериновый бурсит, гонартроз 2 ст, был выставлен клинически и подтверждён с помощью ультразвукового и МРТ исследования. Лечение включало таблетированное применение нестероидных препаратов; инъекционное и таблетированное применение биорегуляционного препарата Траумель С, курса физиотерапии, лечебной физкультуры и ортопедической коррекции стоп - изготовления индивидуальных ортопедических стелек.