bluuebunny/crossref_metadata_2025 huggingface dataset:
SYNTEZA ORAZ AKTYWNOŚĆ ANTYFIDANTNA LAKTONÓW
Authors: Mazur Marcelina
Published: January 2025

Antifeedants, or food deterrents, are substances that, by acting on the sense of taste of insects, entirely or partially inhibit their feeding and can be used to reduce the population of harmful species. Antifeedants have the advantage of low toxicity and high selectivity towards selected groups of pests, providing an alternative to the classically used insecticides, which usually have a broad spectrum of action and greater toxicity, even towards vertebrates. Among their numerous activities, lactones can exhibit antifeedant properties. However, the use of natural lactones as antifeedants is limited due to their low isolation yields from natural sources and complex chemical synthesis. Therefore accesible synthetic compounds are of great interest. This work presents the synthesis pathways and the deterrent activities of the lactones obtained in convenient transformations, often from natural terpene precursors.
MARIA SKŁODOWSKA-CURIE I NAGRODY NOBLA
Authors: Pospieszny Tomasz
Published: January 2025

Marie Skłodowska-Curie is the only woman awarded the Nobel Prize twice: in physics in 1903 and in chemistry in 1911. She is also the only person to have received these awards in two different scientific disciplines. It is worth noting, however, that she almost did not receive any of them. In 1903, only Pierre Curie and Antoine Becquerel were nominated for the Nobel Prize. It was claimed that Marie Skłodowska-Curie was only her husbandʼs assistant. Thanks to the intervention of Pierre Curie, Marie was also appreciated. In 1911, Madame Curie was nominated for the Nobel Prize in Chemistry, but after French newspapers revealed her affair with Paul Langevin, some Swedish scientists demanded that she resign from receiving the prize. Strength of character, courage and independence made Marie Skłodowska-Curie not give in to attacks from public opinion and lies, and she received both Nobel Prizes with dignity, thus creating her legend.
STRUKTURY MOLEKULARNE WYBRANYCH HETEROCYKLICZNYCH ANALOGÓW FLUORENU O POTENCJALNYCH WŁAŚCIWOŚCIACH OPTOELEKTRONICZNYCH
Authors: Leszczyńska Małgorzata , Dziuk Błażej , Ejsmont Krzysztof
Published: January 2025

The molecular structures of five heterocyclic (B, N, O, P, S) fluorene analogues used as organic optoelectronic materials and organic semiconducting materials have been reviewed. These chemical compounds are mainly used for construction of dye-sensitized solar cells, organic field transistors and organic light-emitting diodes. The most common applications in this area are heterocyclic analogues of fluorene containing nitrogen or sulfur atoms in molecular structure. Due to the small energy gap between the HOMO and LUMO molecular orbitals, it can be expected that in the near future molecular systems containing a boron atom will be more widely used in electronics as organic materials
Thermo-hydraulic design of a helical coil heat exchanger for ethanol cooling
Authors: Pérez Sánchez Amaury , González Heily Victoria , Alfaro Martínez Arlenis Cristina , Ranero González Elizabeth , Pérez Sánchez Eddy Javier
Published: January 2025

La configuración de serpentín helicoidal es muy efectiva para los intercambiadores de calor porque pueden acomodar una gran área de transferencia de calor en un espacio pequeño, lo que resulta en altos coeficientes de transferencia de calor. Este artículo trata sobre el diseño termohidráulico de un intercambiador de calor de serpentín helicoidal para enfriar una corriente de etanol proveniente de la parte superior de una columna de rectificación, mediante el uso de una metodología de cálculo clásica y conocida. Se determinaron varios parámetros, como el coeficiente de transferencia de calor global (65,88 W/m2. K); la superficie total en espiral (10,75m2); el número real de vueltas de la bobina (91) y la altura del cilindro (4,12 m). Los valores de la caída de presión fueron de 290.344 Pa y 0,097 Pa respectivamente, que están por debajo de los límites establecidos por el proceso de intercambio de calor. La potencia de bombeo requerida para la corriente de agua enfriada (fluido del lado del serpentín) fue de 375,21 W, mientras que la potencia de bombeo requerida para la corriente de etanol puede considerarse insignificante.
The Power of a Smile: The Use of Smiles and Adjectives in Crowdfunding Social Media
Authors: Taylor Kevin P. , Golden Jennifer D. , Weaver Kathryn , Shore Mark , Naquin Charles E.
Published: January 2025

In the last decade, crowdfunding has emerged as a novel, yet prevailing way for new ventures to acquire capital. Successful crowdfunding campaigns are often accompanied by entrepreneurs’ social networking activities. However, our understanding of an entrepreneur’s ability to convey trustworthiness and generate investment interest through first impressions on online social networking sites is incomplete. Hence, we explore how entrepreneurs can use impression management tactics online to increase perceptions of trustworthiness and investor interest. Using an experimental vignette design, we examine whether the use of smiling versus non-smiling pictures and adjective enhanced headlines versus unadorned headlines on the LinkedIn platform influence both perceptions of trustworthiness and investment interest by crowdfunding investors. The results suggest that LinkedIn profile pictures with a smile (versus no smile) increase perceptions of trustworthiness and investment interest. This study contributes to a better understanding of how impression management on social networking sites can affect online crowdfunding success.
Enhanced Trimodal Emotion Recognition Using Multibranch Fusion Attention with Epistemic Neural Networks and Fire Hawk Optimization
Authors: Cherukuri Bangar Raju
Published: January 2025

Emotions are very crucial for humans as they determine our ways of thinking, our actions, and even how we interrelate with other persons. Recognition of emotions plays a critical role in areas such as interaction between humans and computers, mental disorder detection, and social robotics. Nevertheless, the current emotion recognition systems have issues like noise interference, inadequate feature extraction, and integration of data for the multimodal context that embraces audio, video, and text. To address these issues, this research proposes an "Enhanced Trimodal Emotion Recognition Using Multibranch Fusion Attention with Epistemic Neural Networks and Fire Hawk Optimization." The proposed method begins with modality-specific preprocessing: Natural Language Processing (NLP) for text to address linguistic variations, Relaxed instance Frequency-wise Normalization (RFN) for the audio to minimize distortion of noise’s importance and iterative self-Guided Image Filter (isGIF) for the videos to enhance the image quality and minimize the artifacts. This preprocessing facilitates and optimizes data for feature extracting; an Inception Transformer for capturing the textual contexts; Differentiable Adaptive Short-Time Fourier transform (DA-STFT) to extract the audio's spectral and temporal features; and class attention mechanisms to emphasize important features in the videos. Following that, these features are combined through a Multi-Branch Fusion Attention Network to harmonize all the multifarious modalities into one. The last sanity check occurs through an Epistemic Neural Network (ENN), which tackles issues of uncertainty involved in the last classification, and the Fire Hawk algorithm is used to enhance the emotion recognition capabilities of the framework. Finally the proposed approach attains 99.5% accuracy with low computational time. Thus, the proposed method addresses important shortcomings of the systems developed previously and can be regarded as a contribution to the development of the multimodal emotion recognition field.
Research on Improved LSTM and Deep Learning Intrusion Detection Algorithms
Authors: Liu Baoguo , Blancaflor Eric B , Abisado Mideth
Published: January 2025

These days, network security concerns are becoming more and more important due to the Internet's quick de-velopment. The goal of this article is to enhance the feature extraction and classification accuracy of network intrusion detection models by addressing the issues of low classification accuracy and weak generalization ability of current models in the field. A deep learning network intrusion detection model and an LSTM model based on convolutional neural networks (CNN) and weight dropout, abbreviated as AWD-CNN-LSTM, are creatively proposed. This model effectively extracts nonlinear features from the dataset using CNN, and temporal features from the dataset using LSTM. To alleviate overfitting caused by data imbalance, GP-GAN is introduced to oversample rare types of data, further enhancing the model's generalization ability. The proposed intrusion detection model was experimentally tested on the NSL-KDD dataset. The experimental results showed that the proposed method has better accu-racy compared to traditional machine learning methods such as SVM and K-Means, as well as deep learning methods such as convolu-tional neural networks, regardless of whether it is related to random forests. The improved accuracy and F1 score performance suggest that the IDS model suggested in this article has some practical value and can be used to enhance network security protection capabilities through network intrusion detection.
A Computing Framework for Transfer Learning and Ensemble Classification of Surface Patterns
Authors: Sankar Reddy Akepati , M P Gopinath
Published: January 2025

The rapid increase in population density has posed significant challenges to medical sciences in the auto-detection of various diseases. Intelligent systems play a crucial role in assisting medical professionals with early disease detection and providing consistent treatment, ultimately reducing mortality rates. Skin-related diseases, particularly those that can become severe if not detected early, require timely identification to expedite diagnosis and improve patient outcomes. This paper proposes a transfer learning-based ensemble deep learning model for diagnosing dermatological conditions at an early stage. Data augmentation techniques were employed to increase the number of samples and create a diverse data pattern within the dataset. The study applied ResNet50, InceptionV3, and DenseNet121 transfer learning models, leading to the development of a weighted and average ensemble model. The system was trained and tested using the International Skin Imaging Collaboration (ISIC) dataset. The proposed ensemble model demonstrated superior performance, achieving 98.5% accuracy, 97.50% Kappa, 97.67% MCC (Matthews Correlation Coefficient), and 98.50% F1 score. The model outperformed existing state-of-the-art models in dermatological disease classification and provides valuable support to dermatologists and medical specialists in early disease detection. Compared to previous research, the proposed model offers high accuracy with lower computational complexity, addressing a significant challenge in the classification of skin-related diseases.
Deep Neuro Fuzzy Model for Crop Yield Prediction
Authors: S Vasanthanageswari , P Prabhu
Published: January 2025

The cornerstone of human civilization, agriculture is essential to social advancement, financial viability, and food security. However, for efficient management, issues like soil health variability and climate change require sophisticated instruments. This study integrates deep neural networks (DNNs) using a fuzzy layer to improve agricultural decision-making in a novel way. The imprecision and unpredictability inherent in agricultural data can pose a challenge for traditional DNNs. In order to solve this, we include a fuzzy phase that uses fuzzy rules to convert crisp inputs into sets of fuzzy values. By processing intricate correlations between variables, this hybrid model enhances the network's capacity to manage ambiguous and noisy data. Despite accuracy around 0.95, traditional DNNs perform well, but they frequently have trouble handling the uncertainty in agricultural data. With an accuracy of 0.96, Convolutional Neural Networks (CNNs) marginally surpass DNNs, especially when it comes to yield forecasting and pesticide recommendation. Nevertheless, with an accuracy of 0.97, the DNN model with a fuzzy layer performs best overall. Our model performs exceptionally well for predicting crop categories, forecasting yields, and suggesting fertilizers and pesticides when inputs like type of crop, rainfall, and area are used. The fuzzy-integrated DNN performs noticeably better than conventional DNNs along with different machine learning models, with an accuracy of 0.97. Fuzzy rules also improve interpretability, making it easier for farmers and agricultural specialists to comprehend the reasoning behind suggestions. This approach is a useful tool for improving crop cultivation and input use since it offers higher prediction accuracy, resilience, and transparency.
A Contemporary CNN Based Classifier Approach for Intelligent Diagnostic Systems
Authors: Chandrasekhara Swetha Parvatha Reddy , Srivinay  , B S Sreevidya , V C Rudramurthy
Published: January 2025

Intelligent diagnostic systems significantly enhance the effectiveness and efficiency of cancer detection and management, ultimately leading to better patient outcomes. According to statistics, cancer is the second prime cause of death in males. It's a sluggish-growing ailment that doesn't show symptoms until it's quite evolved. Various investigations on AI (Artificial Intelligence) algorithms analysis have been done in the previous few years over varied medical imaging modalities which includes Computed Tomography, Magnetic Resonance Imaging, and Ultrasound. The use of artificial intelligence to monitor prostate cancer would have a tremendous impact on healthcare. Cancer scientists would have a superior understanding of the ailment and it would be helpful in developing a more precise mechanism for cancer detection as it is the need of the hour, as it has been predicted that there will be over 1.3 million additional cases diagnosed annually around the world. Here an attempt has been made to provide an analysis of the progress being made in the sector of medical image processing. Also, based on the rising interest in CNN (Convolutional Neural Networks) in recent years, we have examined the use of CNN in numerous automatic processing tasks for prostate cancer identification and diagnosis. In this study, a novel deep learning convolutional neural network (CNN) model was employed and its performance was compared against three established CNN models: AlexNet, GoogleNet, and ResNet. It has been found that the use of CNN has increased dramatically, with excellent outputs gained using either new models or pre-conditioned networks for transfer learning. Deep learning-based research surpasses traditional patient prognostic methods with regard to accuracy, according to the survey's findings.
Towards Development of a Hypertext Induced Topic Search Based Point of Interest Recommender System for Location Based Social Networks
Authors: S John Vaseekaran , N Srinivasan
Published: January 2025

Location-based social networks (LBSN) have a significant issue in the suggestion of points of interest (POIs) due to the sparsity of data, implicit input from users, and individual preferences. In most of the LBSN systems, there is no simple rating method for POIs, which is a major drawback for many users. Due to a lack of acceptable connections, such algorithms tend to provide a list of POIs that the user cannot consistently visit. There are many applications for the link data analysis, and the Hyperlink-Induced Topic Search (HITS) algorithm in particular, such as highest ranked search engine results predicated on the hyperlink configuration of the World Wide Web and analysing privacy in social networks in order to compute node weight and understand the elements of each object (endpoint) in the network. By using the HITS algorithm, we can promote POIs to LBSN users while simultaneously considering the influence of social ties. Our suggested model is tested on the Foursquare dataset and compared to the most recent POI recommendation algorithm. When we tested it against two prominent algorithms using real-world datasets, we discovered that our suggested approach performed better in terms of both variety and accuracy.
Household Justice Management in Views of Polygamy Practitioners: A Key Principle for Familial Stability and Harmony in Islamic Education
Authors: Nugroho Rico Setyo , Asy’arie Musa , Chusniatun Chusniatun , Waston Waston , Muthoifin Muthoifin , AN Andri Nirwana , Elbanna Mariam
Published: January 2025

Polygamy is a social system prescribed by Allah to ensure social justice, protect women, and promote familial solidarity. However, the success of this system heavily relies on the husband's commitment to justice, which is an essential and fundamental requirement. Field studies indicate that the justice mandated by Islamic law encompasses the provision of sufficient financial support, including food, clothing, and housing for all wives equally, in addition to equitable distribution of time for overnight stays. Interviews conducted with some polygamy practitioners revealed that failure to uphold justice often leads to conflicts within the family, sometimes resulting in its disintegration. Participants emphasized that fulfilling the requirements of Islamic law goes beyond material matters, extending to fairness in emotions and treatment to the best of the husband’s ability, recognizing that humans are not accountable for feelings beyond their control. This study, therefore, serves as a practical reference for those considering polygamy. It underscores the importance of understanding the rulings of Islamic law related to this matter to ensure familial stability and avoid the negative consequences of injustice or misinterpretation. Adhering to justice is the key to maintaining successful marital relationships in the context of polygamy.
Efficacy of Aloe Vera and Curcuma Longa in managing Porcine Staphylococcal Infections
Authors:   University of Zambia, Ngwisha Joshua , Samutela Mulemba ,   The University of Zambia, Hangómbe Bernard Mudenda ,   The University of Zambia, Choongo Kennedy ,   The University of Zambia
Published: January 2025

Antimicrobial resistance (AMR) poses a global public health threat, impacting the livestock sector. In Southern Africa, alternative ethno-remedies for AMR in pigs are under-researched. This study evaluated the efficacy of Aloe vera and Curcuma longa in managing Staphylococcus aureus infections in pigs.
Herbs were collected following a non-participatory rapid appraisal from Luanshya and Lusaka Districts of Zambia, while S. aureus was sourced from porcine nasal swabs. Crude extracts were prepared using ethanol, ethyl acetate, and aqueous solvents. The agar dilution method assessed the efficacy of three groups: Aloe vera, Curcuma longa, and a combination (5:1). Cephalexin, neomycin, and kanamycin served as positive controls, while DMSO was the negative control.
Curcuma longa showed the highest bacterial susceptibility (S=75%, I=25%), followed by Aloe vera (S=56%, I=19%, R=25%). The combined formulation yielded S=48%, I=26%, R=26%. The positive control produced S=63%, R=37%, and the negative control had R=100%.
Curcuma longa and Aloe vera exhibit potential in managing porcine upper respiratory tract infections caused by S. aureus in Zambia. These findings warrant further safety and clinical tests to validate their use, determine minimum inhibitory concentrations, and establish appropriate dosages for effective application.
Technico-economic and cost analysis of hybrid system for the Power Network Real, Béni-Ounif site using PSO
Authors: Allaoui Abdelmadjid , Tandjaoui Mohamed Nasser , Maamri Mokhtar , Mrah Benyoucef
Published: January 2025

Energy play a vital role in the lives of human being. With the increase in electric demand more burdens are put on the generation. More burden increases on the generating stations. This inflates the cost in electricity generation, to reduce this burden on generating stations and to provide relief to consumer, to cater all the issues certain method needs to be adopted to minimize the cost of generation. Wind and solar are cheap source of electricity but their reliability is inconsistent. Because these sources highly depend on the weather conditions. Thus, they cannot sup- ply power to load on their own. However, they can be used to form a hybrid power system. In this way, wind and solar will always supply the maximum power that they can and the remaining power demand is fulfilling by the conventional generators. In this paper we investigate the effect of integrating a wind and solar power into the Béni Ounif site electrical power system. in this study we will take a scenario for analyzing the impact of the integration of this renewable energy (wind / solar) on the dynamic economic dispatch problem solved with A Swarm Algorithm Intelligent Optimization PSO.
Sphere theorem for generalized Weingarten hypersurfaces embedded in Euclidean space
Authors: Abdelmalek Mohammed
Published: January 2025

One of the most important results in differential geometry is that the only closed hypersurfaces of constant mean curvature and in general constant higher order mean  curvature) embedded in Euclidean space are round spheres [1]. This result is not true for the case of immersed (and non-embedded hypersurfaces [11, 14]. Many generalizations of this result have been obtained later, for example constant scalar curvatures or constant higher order mean curvatures hypersurfaces [2,3,7,9]. As a natural generalization of hypersurfaces with constant mean curvature or with constant higher order mean curvature, linear Weingarten and more general generalized, Weingarten hypersurfaces hypersurface has been studied in many places. [5],[10]. The aim of our work is to establish a characterization theorem concerning complete generalized Weingarten hypersurfaces embedded in Euclidean space. That is an hypersurfaces where some of the higher order mean curvature are linearly related. We prove that the only closed, oriented generalized Weingarten hypersurfaces embedded in Euclidean space with non-vanishing higher order mean curvature are the round spheres. This result generalizes the cases of constant higher order mean curvature hypersurfaces and linear Weingarten hypersurfaces embedded in Euclidean space.
Ground reaction curve for a phenomenological damage model – case of Algiers metro, Algeria
Authors: Djebari Hadjer , Abdelaziz Boutrid , Said Berdoudi
Published: January 2025

As urban growth and metro network expansion accelerate, understanding the behavior of underground structures becomes indispensable. This paper aims to analyze the behavior of moderately cohesive soil (clay soil) caused by underground excavation of a metro tunnel and to describe the ground response and damage using the phenomenological damage constitutive model in the convergence-confinement method. We present a detailed description of the employed constitutive soil behavior model, then analyze the excavation behavior and ground reaction using the continuum damage constitutive model. The results authorized us to analyze the evolution of stresses, present the GRC graphically, and assess the damage around the tunnel. The obtained results have provided us with a deeper understanding of the short-term behavior of the structure. Specifically, we have analyzed the influence of damage parameters S and Yd of the damage law, quantified the damage to the ground, and concluded the evolution of stresses and damage around the tunnel.
Optimal time-consistent reinsurance-investment strategies for mean-variance insurers with delay
Authors: Bahlali Dounia , Bahlali Aya
Published: January 2025

In this work, we study the equilibrium investment-reinsurance /new business and investment strategy for mean-variance insurers with state dependent risk aversion, the insurers are allowed to purchase proportional reinsurance, acquire new business and invest in a financial market, where both the surplus and the price process of risky stocks of the insurers are assumed to follow geometric Levy process. Under the consederation of the performance related capital inflow/outflow, the wealth process of the investor is modeled by a stochastic differential delay equation (SDDE) with jumps. The insurers aim to optimize the mean-variance utility of the combination of terminal wealth and average performance wealth. We formulate the optimal investment and reinsurance mean-variance problem within a game theoretic framework, seeking subgame perfect Nash equilibrium then applying the stochastic control theory with delay.
Comparative study of real-time stator voltage control in stand-alone doubly fed induction generators using PI, fuzzy logic and neural network approaches
Authors: Boucetta Fella , Benchouia Mohamed Toufik , Bechrif Mohamed , Chebani Mohamed , Golea Amar , Boumaraf Rabiaa , Chabani Mohamed Saci
Published: January 2025

This research focuses on the experimental comparative analysis of three techniques to optimize the control performance of the AC voltage generated by a doubly fed induction generator (DFIG) in a wind power generation system (WPGS) serving local consumers. Unlike grid-connected operation, rotor side control (RSC) during stand-alone operation focuses on maintaining stable voltage under variable conditions, such as wind-speed fluctuations and load variations. Traditional proportional-integral (PI) control is compared with intelligent control techniques, including fuzzy logic and artificial neural networks (ANN), to evaluate their effectiveness in enhancing performance. A real-time experimental setup was developed using a 3 kW DFIG and a dSPACE 1104 control platform to assess the performance of the three controllers. The experimental results under varying operating conditions reveal that the intelligent controllers significantly outperform the PI controller, particularly in terms of response time, robustness, and overshoot. The findings highlight the potential of intelligent controllers to enhance performance and stability in stand-alone DFIG applications.
Estágio em nutrição clínica: uma experiência bem sucedida no Hospital Municipal Luíza Pereira de Carvalho - Caetés, Pernambuco, Brasil
Authors: Barbosa Mozart Duarte , Moraes Fabrisia Maria de
Published: January 2025

O Estágio Supervisionado em Nutrição Clínica, é uma disciplina ofertada no último período que visa o treinamento do aluno nas atividades de nutrição em âmbito hospitalar e ambulatorial nas diversas especialidades clínicas. O presente trabalho objetiva relatar a experiencia realizada durante o estágio supervisionado em Nutrição Clínica no Hospital Municipal Luíza Pereira de Carvalho. O presente relato trata-se de um estudo de caso, descritivo e qualitativo, realizado no estágio supervisionado, na área de Nutrição Clínica, do Curso de Nutrição da Uninassau, polo Garanhuns, que ocorreu no Hospital Municipal Luiza Pereira de Carvalho, no período de outubro a novembro. Durante estágio foram realizadas observações dos procedimentos nutricionais, consulta nutricional em ambulatório, atendimento a crianças com doação de leite em pó, atendimento e avaliação nutricional nas enfermarias e leitos e preenchimento de fichas nutricionais. Este foi um período extremamente rico, pois, através dele, foi possível vivenciar na prática o que vemos na teoria, em diversas situações, nutrição materno-infantil, hospitalizados em todas as faixas etárias com as mais diversas patologias e gravidades e atendimento em ambulatório.  Entretanto, na teoria só vemos a perfeição, por sua vez, na prática, observamos as dificuldades, para suprir as deficiências econômicas e estruturais, o sofrimento de acompanhantes e, sobretudo de pacientes. Tudo isto, faz com que saíamos, mas preparados para enfrentar o campo de trabalho com conhecimento e ciente da realidade, além de uma boa dose de humanidade.
Uso da telemedicina na aderência ao tratamento da hipertensão: uma revisão integrativa
Authors: Mattos Ana Clara Simões , Mattos Beatriz Simões , Farias Camillo Collier de , Albuquerque Paulo Fernando Viegas Barros de , Lapa Luiz Antônio Silva , Souza Claudinalle Farias Queiroz de , Costa Aurélio Molina da
Published: January 2025

A hipertensão arterial é uma doença crônica de alta prevalência mundial que pode oferecer riscos à saúde, sendo importante a manutenção de altos níveis de aderência ao seu tratamento. No contexto atual, a telemedicina surge como uma alternativa para combater a não aderência ao tratamento anti-hipertensivo. Assim, o objetivo desta pesquisa é avaliar benefícios e limitações da telemedicina na melhora da adesão ao tratamento da hipertensão. Foi realizada uma revisão integrativa da literatura a partir da pergunta de pesquisa elaborada pela estratégia PICO: “Quais são os benefícios e limitações associados ao uso da telemedicina com o objetivo de melhorar a aderência dos pacientes ao tratamento (medicamentoso ou não) da hipertensão arterial nos últimos 5 anos?”. Foram desenvolvidas estratégias de busca nas bases LILACS, IBECS, PubMed, Medline e SciELO, empregando os descritores: “hypertension”, “telemedicine”, "medication adherence” e “treatment adherence and compliance”. As estratégias de busca retornaram um total de 287 artigos, dos quais 10 foram incluídos na amostra final da revisão. Dos 10 artigos selecionados, apenas um não associou a telemedicina a uma melhora na aderência ao tratamento da hipertensão e, dos 9 que associaram, 3 não encontraram diferenças estatisticamente significativas em comparação com intervenções tradicionais. Apesar de algumas limitações nos artigos selecionados, a telemedicina parece ser uma alternativa viável e capaz de aumentar a aderência ao tratamento da hipertensão. Contudo, mais e melhores estudos são necessários para comprovar essa beneficência da telemedicina.
CLINICAL SPECTRUM AND OUTCOME OF PATIENTS ADMITTED IN PEDIATRIC INTENSIVE CARE UNIT OF A TERTIARY HOSPITAL
Authors: REHMAN A , SARWAR M , KHAN M , SULTANA N , PARVEEN M , ASLAM A
Published: January 2025

Background: Pediatric Intensive Care Units (PICUs) are crucial for managing critically ill children, yet limited data exist regarding the clinical spectrum and outcomes of patients admitted to PICUs in developing countries, particularly in Pakistan. Objective: To assess the clinical spectrum, outcomes, and burden of pediatric patients admitted to the PICU. Study Design: A cross-sectional study. Setting: The study was conducted at the PICU of The Children’s Hospital, Lahore. Duration of Study: January to December 2023. Material and Methods: A total of 884 patients admitted to the PICU during the study period were included. Patient data, including demographics, diagnoses, clinical interventions, and outcomes, were recorded over one year and analyzed using SPSS version 26. Descriptive statistics were employed, and associations were identified using the Chi-square test, with statistical significance set at p < 0.05. Results: The mean age of patients was 6.7 years, with 58.8% being male. The most common diagnoses included pneumonia (22.3%), diabetic ketoacidosis (21.9%), and Guillain-Barré syndrome (15.6%). Mechanical ventilation was required in 54.1% of cases. The overall mortality rate was 14.4%, with pneumonia accounting for 44% of deaths. Significant predictors of mortality included sepsis (p = 0.000) and mechanical ventilation (p = 0.000). Mortality was notably higher among patients under 1 year of age (p = 0.000). Conclusion: This study underscores the significant burden of respiratory illnesses, diabetic ketoacidosis, and sepsis in the PICU, along with high mortality rates. Enhancing early interventions, optimizing resource allocation, and implementing targeted care protocols are essential to improving outcomes in critically ill pediatric populations in resource-limited settings.
Sekolah Minggu sebagai Solusi untuk Mengantisipasi Stagnasi dalam Pendidikan Kristen di Gereja
Authors: Waruwu Liyus
Published: January 2025

The purpose of this research is to demonstrate the non-linear development of Christianity in relation to population growth. Christianity has been present for about 20 centuries and has proven to endure in various situations. This endurance is evidence that this religion exists according to God's will as the creator of the world, aimed at guiding humanity to align with the divine plan. However, it is unfortunate that the graph of Christianity in terms of quality and quantity shows a tendency to remain constant. The research conducted is an ethnographic study that employs qualitative methods with triangulation techniques to gather data, analyzed using ethnomethodology. The results indicate a 60% decline in quality over four years from 2019 to 2022, and quantity does not align with population growth, sourced from data of five selected denominations around Medan, North Sumatra, Indonesia. This research illustrates the realities and hopes related to the importance of Sunday school organized by the church to maintain existence in terms of quality and quantity among Christians today.
Religious Beliefs as a Cultural Bridge: Exploring the Role of Interfaith Understanding in Enhancing Diplomatic Relations Across Diverse Cultures
Authors: Zhu Yujia
Published: January 2025

This study explores the role of religious beliefs and interfaith understanding as cultural bridges in enhancing diplomatic relations across diverse cultures. Religion significantly influences cultural and ideological values, often acting as both a unifying and divisive force in history. With the intensification of globalization, interfaith dialogue has emerged as a critical diplomatic tool for fostering mutual respect, cooperation, and social cohesion. Using a qualitative methodology, this research examines case studies from Qatar's Doha International Center for Interfaith Dialogue and Indonesia's Religion Twenty (R20) Forum. It analyzes their roles in promoting peace, reducing religious tensions, and contributing to reconciliation in conflict-prone areas. The findings reveal that interfaith dialogue transcends theological discussions by emphasizing shared values like compassion and tolerance, enabling collaborative diplomatic efforts. The discussion highlights the potential of interfaith initiatives to integrate religious leaders and institutions into peacebuilding processes while addressing challenges such as religious conflict and politicization. It underscores the necessity of structured interfaith training for diplomats and the inclusion of religious actors in policy-making to foster sustainable peace. The study concludes that interfaith understanding not only bridges cultural divides but also enhances international diplomacy by creating frameworks for inclusive, cooperative, and peaceful interactions across global communities. Future research should focus on measuring the long-term impact of such initiatives and exploring strategies for addressing persistent challenges.
Research on the Determination of the High Altitude Throwing Crime
Authors: Zhou Peiqi
Published: January 2025

In recent years, cases of high altitude object throwing have occurred frequently, and their behaviors have seriously threatened the safety of public life and property, and have become a hot topic of discussion in the society. In response, China's Criminal Law Amendment (XI) has made it as an independent offence, which is included under the "offence of disturbing social order". However, the ambiguity of the legal provisions and the complexity of the cases in judicial practice make the determination of the high altitude throwing crime the focus of controversy in the theoretical and practical circles. This paper first based on the criminal law "four elements" theory, the objective elements of the high altitude throwing crime and subjective elements of a detailed analysis, especially on the concept of "high altitude", "throwing", "thing" and criteria for determining "serious circumstances" for discussion, pointed out the existing law on these elements of the provisions of the inadequacy. Secondly, this paper puts forward the aerial throwing offence in judicial practice, there is a greater uncertainty, especially in the distinction between the high altitude throwing crime and its related crimes is more ambiguous. Finally, this paper analyses the problems in the determination of the high altitude throwing crime, puts forward the clear boundaries between the crimes, strictly control the "seriousness" of the judicial determination of the standard and other corresponding measures to regulate the application of the high altitude throwing crime.
The Impact of Preschool Children's Use of Electronic Devices in the Home on Their Social Development
Authors: Dai Yiyang
Published: January 2025

The advancement of science and technology is leading to the increasing utilization of electronic items among younger demographics. The influence of preschool children's utilization of electronic devices on their social development has garnered heightened scrutiny. This study examines the literature regarding preschool children's utilization of electronic devices and its impact on their social development. The present study analyzed the current state to identify existing issues and subsequently offered the insights and recommendations for the appropriate use of electronic products, aiming to foster the healthy development of preschool children. The research indicated that increased utilization of electronic gadgets correlates with diminished social development in preschool children. Parenting styles provide a moderating function in this context, with highly positive styles mitigating harmful behaviors associated with preschool children's use of electronic devices, thereby fostering the development of pro-social behaviors in preschoolers. The significance of this study is to further knowledge by offering a thorough review of the existing literature and emphasising the necessity of responsible and balanced usage of electronic devices in early childhood education and care environments.
An Analysis of the Causes of the Tragic Female Images in Root-Seeking Literature in the Context of Feminism
Authors: Wang Songhua
Published: January 2025

Contemporary China is increasingly concerned about social issues such as gender equality and the status of women. In China's past, due to many factors, women's social status was often lower than men's, and women's basic rights were often deprived. The inherent stereotype of "men are superior to women" left over from these periods still has a certain influence in today's Chinese society. Such negative stereotypes have caused problems and obstacles to contemporary Chinese society's efforts to eliminate the prejudice and social phenomenon of gender inequality. To this end, this paper will be devoted to exploring the causes of the tragic female images in the modern Chinese social background shown in Su Tong's short stories (Taking the Escape in 1934 as an example). Through the description of women in this period, the literary work vividly and truly shows the typical female image and the social status of this period. The author will use text analysis and feminist theory as research methods and theoretical basis to analyze the causes of these tragic female images.
Anti-tax Avoidance of Multinational Corporations under the Belt and Road Initiative in China
Authors: Wu Cuiyi
Published: January 2025

In the context of expanding economic globalization, the numbers of the Multinational Corporation (MNC) have been increasing. One Belt One Road promotes the trade corporation between countries. In light of the MNCs implement various tax avoidance strategies, this has significant adverse impact on business environment and tax revenue. This article mainly relies on literature research and comparison of anti-tax avoidance Legal Framework between China and Canada. It explores different measures of anti-tax avoidance. China has experienced challenges with tax avoidance issue in the BRI, including lack of competitiveness of Chinas Tax Rate, complexity of international taxation environment, and challenges of implementing Organisation for Economic Co-operation and Development (OECD) Pillar II Global Minimum Tax. Furthermore, comparing the anti-tax avoidance legal framework and differences in its GAAR respectively. The purpose is to design a tax system with Chinese characteristics. Effective anti-tax measures is very crucial for ensuring fair taxation and foster competitive business environment, and increase the public trust for China.
Do Women Have to Be Beast to Gain Power
Authors: Zhou Yanjun
Published: January 2025

This paper aims to critique the root of problematic current issue of extreme feminists denying sexual differences as shaped in the long standing misogyny, trying to wipe out sexual characteristics in order to gain the seemingly absolute power. Then, based on Luce Irigarays theory of sexual difference as a function, the paper examines the underrepresentation of women in society, particularly evidenced by the elastic ceiling encountered in professional environment. This posits that economic autonomy serves as the foundation of power, explaining the cause of radical feminists denial of sexual differences in order to gain the seemingly absolute power through acting in the role of men, ultimately posing an extend implicit disempowerment of women. Lastly, the paper evaluates the role of the legal system and its defect that leaves women transformation into masculinity the only path towards proving they have the same ability as men, and argues that combination of absolute power of basic right and relative power of suitability needs to be enforced to push gender equality.
The Impact of Improvement in Modern Global Situation on Democratic Reform in the 21st Century
Authors: Deng Weilian
Published: January 2025

Democracy is widely considered as a better form of regime in terms of others, such as monarchies and totalitarilism, since the freedom, human rights and equality of people in democracy regimes can be safeguarded. Meanwhile, a democratic government is under supervision of different sectors, thus preventing from abusing of power and corruption. The purpose of this article is to analyse the potential for democratic reform based on the previous studies, in order to have an implication on the factors and the future trends of democratic reform in the 21st century. This paper finds out that the process of democratic reform is getting faster as the technology and globalization progress, and the existence of social media and internet allows the faster spread of the idea of democracy, meanwhile causing a pressure to the stability of authoritarian regimes. Globalization allows countries worldwide to become more interdependent, and promotes economic activities that can further support the spread of democracy. Authoritarian regime countries who do not participate in globolization would face a problem of falling behind in econmic development and hence become less stable.
European Inspirations on Chinese Welfare State Development: A Comparative Analysis
Authors: Xu Shiran
Published: January 2025

The effectiveness and the applicability of European welfare policy, especially those implemented by the early welfare states of the Organisation for Economic Co-operation and Development (OECD), have been claimed as the sources of their leading prosperity. Developing countries that underwent reforms and socio-economic transitions hold incentives and materialistic basis to initiate welfare programs similar to Europes. Research significance of this paper lies within the comparative welfare analysis between China, a typical developing country that experienced drastic reforms, and developed OECD European welfare states, casting doubt on whether China can adopt the entire European welfare policy. Attempting to provide suggestions for Chinas future welfare development, this study exemplifies the results derived from European welfare implementations, with a focus on the European welfare measurements, shaping factors, and the Chinese distinctiveness possessed within its welfare development. As a result, this study contends that due to deviance on historical factors and measurements cultivating entrenched bilateral distinctiveness on welfare policies, it is impractical for China to construct its welfare system by imitating the European welfare mode.
Landscape and Shadow: A Comparison of the View of Nature and Philosophy of Art in the Artworks of Fan Kuan and J. M. W. Turner
Authors: Song Jian
Published: January 2025

In Chinese and Western painting, respectively, there are apparent differences in the representation of the vision of nature and the philosophy of art, even though paintings carry nature as their theme in art history. The extent of these differences can be well understood by comparing works of different artists from diverse cultures. The case selected for analysis in this paper comprises the Chinese Northern Song period painter Fan Kuan and the British Romantic painter J. M. W. Turner. This paper compares and contrasts the two artists regarding their perceptions of nature and aesthetic systems. Various perspectives of nature can be explained by works like Fan Kuan's Travelers Among Mountains and Streams and William Turner's The Blizzard or Snowstorm. This paper uses a qualitative research approach to understand how the two painters depict their understanding of the topic through their creativity. Many of the works painted by Fan Kuan illustrate the Confucianistic notion of 'heaven-men unity', focusing on such aspects of nature as peacefulness and timelessness. On the other hand, Turner in his paintings responds to the relation of the age of romance to the force of light, the force of colours, Turner responds to this power of the age. The study findings reveal that though the two painters had a clear distinction based on their cultural origin, style, and thought on philosophical matters, both the painters had artistic interpretations of the natural world in their use of artistic forms.
Irk Bitig de Hayvan Sembolizmi
Authors: Kolot Berna
Published: January 2025

Merak, insanoğlunun karşı koyamadığı duygulardan biridir. Geçmişini hatta yaşadığı anı bir kenara bırakıp geleceğe odaklanan insan, merakını giderebilmek için yarına dair bilgi verebilecek çeşitli pratikler geliştirmiştir. Bu pratiklerden biri ve en eskisi, geleceğe dair kehanetler sunan fal baktırmadır. Geçmişi insanlık tarihi kadar eski olan fal, hemen her toplumda ihtiyaç duyulan ve varlığını devam ettiren bir uygulamadır. Bilinmeyeni merak eden insan, yarının kendisine ne getireceğini öğrenmek için çeşitli fal pratiklerine ve falcı denilen kişilere başvurmuştur. Kahve, çay, el, yıldız vb. pek çok çeşidi bulunan, zamanın akışına ayak uydurarak popüler kültürün ve dijitalleşen dünyanın etkisiyle kafelerde fal bakan kişilerden cep telefonlarına indirilen uygulamalara kadar gelişme gösteren fal insanın daima odak noktasında olmuştur. Doğadaki canlı cansız her varlığın kehanet aracı olarak kullanıldığı fal pratiğinin Türk kültüründe de oldukça eski bir tarihe sahip olduğu görülmüştür. Ortaya konuş tarihinin 9. yüzyıl civarı olduğu tahmin edilen ve ilk fal kitabı ünvanına sahip olan Irk Bitig adlı eser, Türklerin kullandığı fal pratiklerine dair bilgiler içermektedir. Eserde yer alan fallar geleceğe dair iyi ya da kötü haberler vermektedir. Bu fallar ise üzerinde hayvan motifleri bulunan ve belli sayıda deliklerden oluşan aşık kemiğinin atılmasıyla ortaya çıkarılmıştır. İnsana yarının kapısını aralayan bu haberlerde, kehanet gücünün ve olumsuz durumları önceden sezebilme yeteneklerinin var olduğuna inanılan hayvanların sıkça kullanıldığı görülmüştür. Falların içerisine yerleştirilmiş çeşitli hayvan motiflerinin falın neticesini belirleyecek kadar önemli olduğu anlaşılmıştır. Bu çalışmada, Irk Bitig’deki fallarda yer alan hayvanların çeşitleri, fallara ne şekilde yön verdiği ve kehanetlerin neticelerine bulunduğu katkılar üzerinde durulmuştur.