bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Phosphorus Levels and Biofertilizers on the Growth and Yield of Summer Black Gram (Phaseolus mungo L.)
Authors: Choudhary Charan Singh , Nongmaithem D. , Singh A.P. , Choudhary Sunita , Solo Virosanuo , Karak Tanmoy
Published: December 2024

Background: India is the world’s leading producer and consumer of pulses, contributing a quarter to global production. Pulses are crucial in the Indian diet, providing 14% of total protein intake, especially for vegetarians. However, production falls short of demand due to inadequate nutrient management, particularly phosphorus, and biofertilizers. Black gram (Phaseolus mungo L.), a key kharif pulse crop, has significant potential but suffers from low productivity. Proper fertilization, especially phosphorus, and biofertilizers, is essential to bridge this productivity gap. Methods: A field experiment was conducted during the summer season of 2022 at the experimental farm of the School of Agricultural Sciences (SAS), Nagaland University, Medziphema Campus, to evaluate the effect of phosphorus levels and biofertilizers on the growth and yield of summer black gram. The experiment was conducted by adopting a Factorial Randomized block design with four phosphorus levels , viz. P0- Control, P1- 15 kg ha-1, P2- 30 kg ha-1, and P3- 45 kg ha-1 and four treatments of biofertilizers , viz. B0- Control, B1- Rhizobium (20 g kg-1 seed), B2- Phosphate solubilizing bacteria (20 g kg-1 seed) and B3- Rhizobium (20 g kg-1 seed) + Phosphate solubilizing bacteria (20 g kg-1 seed), and the treatments were replicated thrice. Black gram variety “Pusa-1” was sown at a spacing of 30 cm × 10 cm, and it was uniformly fertilized by 20 kg N ha-1 through urea. However, phosphorus and biofertilizers were applied as per the treatment requirements. Result: The experimental results revealed that among the levels of phosphorus, application of 45 kg ha-1 phosphorus recorded significantly the highest plant height, number of primary branches, leaf area index, plant dry weight, and seed yield (724.17 kg ha- 1). Among the biofertilizer treatments, Rhizobium (20 g kg-1 seed) + phosphate solubilizing bacteria (20 g kg-1 seed) resulted at highest growth attributes and yield of black gram. Thus, for summer black gram cultivation, application of 45 kg ha-1 phosphorus and treatment of Rhizobium (20 g kg-1 seed) + Phosphate solubilizing bacteria (20 g kg-1 seed) treatment was identified as the most promising method for boosting black gram yield.
Nouvelles du Centre Technique Forestier Tropical. M. Jean Huet, Président du Conseil d'Administration du Centre Technique Forestier Tropical et M. Louis Huguet, Directeur Général
Authors: Centre Technique Forestier Tropical (CTFT)
Published: December 2024

C'est en présence de nombreuses personnalités parmi lesquelles M. le Professeur Aubreville, Membre de l'Institut, M. Alliot, Administrateur délégué du GERDAT, M. Margon, premier Directeur Général du C.T.F.T., des membres du Conseil d'Administration, d'un grand nombre d'amis et du personnel du Centre de Nogent, qu'une réception placée sous le signe de l'amitié et de la reconnaissance a marqué le départ de MM. Maurice Rossin, Président du Conseil d'Administration et René Catinot, Directeur Général.Les différentes allocutions prononcées ont été l'occasion de rappeler les mérites de chacun et de retracer les principales étapes de leur carrière. Elles permirent également à MM. Rossin et Catinot de présenter leur successeur, respectivement M. Jean Huet et M. Louis Huguet.
FACTORS AFFECTING THE DECISION MAKING TO CHOOSE DANCE SCHOOL IN BANGKOK METROPOLITAN AREA
Authors:   Kasetsart International MBA Program, Kasetsart University, Bangkok, Thailand, Deerod Yasita , Worapishet Thirarut ,   Kasetsart International MBA Program, Kasetsart University, Bangkok, Thailand
Published: December 2024

This study investigates factors influencing the decision-making process of individuals choosing dance schools in the Bangkok Metropolitan Area. Using a mixed-methods approach, the research combines quantitative surveys and qualitative interviews to identify key determinants such as location, reputation, cost, curriculum, and instructor qualifications. Findings reveal that while cost and location are significant, the reputation of the school and instructor qualifications play crucial roles. The study aims to provide insights for dance school administrators to better understand their target market and improve their offerings. Objectives include studying the demographic characteristics of those who choose dance schools in Bangkok, examining consumer behavior toward the dance school industry, and analyzing the importance of the marketing mix (product, price, distribution channel, promotion, process, image, and presentation) for prospective students. Methods involve a quantitative approach with descriptive research and surveys. Cluster 1 is diverse in gender, with many young adults and middle-aged respondents, including students, private company officers, and lower to mid-income earners. Consumer behavior in this cluster shows a balanced interest in various dance courses, lower study expenses, a preference for evening study times, and a high preference for weekend study times. Cluster 2 is predominantly female, younger, and more diverse in occupation and income levels, with higher education levels and higher income earners. This cluster focuses on finding special skills and talents, with a strong preference for specific dance courses (especially K-pop Dance), more diverse and higher study expenses, balanced study times throughout the day, and varied main study times, including weekends and combined times. In conclusion, the importance of the marketing mix (7Ps) segments consumers into two clusters in this study.
What's Really at Stake? Insights from Nova Scotia Teachers’ Use of Social Media during Collective Bargaining
Authors: Brickner Rachel
Published: December 2024

This study uses the case of the 2015-17 contract negotiations between the Government of Nova Scotia (Canada) and the Nova Scotia Teachers’ Union to understand (1) how the Government, the union, and individual educators framed the issues at stake in negotiations, and (2) how those perspectives were represented in traditional and social media. To answer these questions, I conducted two unique content analyses of news releases, social media posts, and traditional digital media over the course of negotiations. Results show that educators used social media to frame their work explicitly in terms of caring labour and to communicate with specificity and urgency the toll of their working conditions on their ability to meet the needs of their students and maintain their own well-being. However, active educators’ voices were rarely included in traditional media. These findings show that using social media does not guarantee that teachers’ perspectives will influence the broader public discourse. Moreover, they suggest that to the extent that care frames are employed in teachers’ strikes, it may be important for unions to develop an official campaign—in collaboration with rank-and-file educators—that is centred around care.
Students With and Without Disabilities Using Social Media: Relationship Benefits and Implications for Education
Authors: Greenhow Christine , Akhmedova Aisel , Sutcliffe Jennifer , Fisher Marisa , Sung Connie
Published: December 2024

A pandemic in 2020 resulted in economic and social disruption of unprecedented scale. Social distancing — or physical distancing while in public spaces — was required, and social media usage spiked globally as people turned to these online spaces for information and connection. Today’s postsecondary students, in particular, are frequently immersed in social media; it can offer them social supports, such as a greater sense of belonging during times of transition and crisis, but also inherent risks, including cyberbullying and online harassment. Although many studies have examined the social connections or supports for learning that college students without disabilities experience by using social media, few studies have explored these phenomena among college students with disabilities, including neurodevelopmental disabilities such as anxiety disorders (e.g., social anxiety, autism, attention deficit disorder) that make socialization difficult for these young adults.  It is important that educational research advances understanding of the socialization experiences of these students with disabilities because students’ sense of belonging and peer support is critical to their engagement and success in K-12 and postsecondary schooling.
Ensino de Modelagem via Google Meet
Authors: Lopes Aldo Peres Campos e , Reis Frederico da Silva
Published: December 2024

Essa pesquisa qualitativa tem por objetivo examinar como a atividade de Modelagem Matemática pode contribuir para o ensino e aprendizagem de Equações Diferenciais em um contexto de ensino remoto. A pesquisa foi conduzida com alunos de diversos cursos de Engenharias, no segundo ano de graduação. Os alunos foram divididos em grupos e orientados a desenvolver modelos sobre temas de interesse. Essa análise tem como foco dois pontos principais: uma nova perspectiva sobre a Matemática e contribuições do ensino remoto para a disciplina. Os resultados mostraram que os alunos se sentiram motivados e passaram a ver a Matemática de forma mais positiva ao conseguir aplicar a teoria na prática. Entre os desafios enfrentados, nos deparamos com as disparidades socioeconômicas entre os alunos, destacando a importância de considerar as implicações do ensino totalmente remoto em momentos de crise.
Estudo de Aula e a formação continuada de professores de matemática
Authors: Miola Adriana Fátima de Souza , Afonso Dieine Jaqueline
Published: December 2024

O presente artigo discutiu o Estudo de Aula como uma proposta de formação continuada para professores de matemática em um contexto colaborativo e teve como objetivo identificar e analisar as reflexões de uma professora participante de um grupo de professores de matemática durante o desenvolvimento das etapas do Estudo de Aula envolvendo o ensino de números inteiros. Para isso, a investigação incorporou a abordagem qualitativa interpretativa e o ciclo do Estudo de Aula como metodologia de pesquisa para produção dos dados. Foram realizados cinco encontros presenciais, sendo que todos foram gravados e transcritos. Os principais referenciais teóricos utilizados foram os que discutem a formação continuada docente por meio da abordagem do professor reflexivo. As análises dos dados revelaram que, por meio da reflexão coletiva, durante os ciclos do Estudo de Aula, os professores puderam investigar suas práticas e perceber a importância de planejarem e desenvolverem suas aulas conjuntamente.
A scoping review of the management of esophageal cancer and the shift toward the minimally invasive approach
Authors: Yeo Charleen Shanwen , Wong Joel Shi Hao , Oo Aung Myint
Published: December 2024

Esophageal cancer poses a significant global health burden due to its aggressive nature and challenging management. This scoping review aims to explore the evolving landscape of esophageal cancer management, focusing on the shift toward minimally invasive approaches. The review synthesizes current guidelines, staging methods, treatment modalities for early and advanced stages, and surgical options, emphasizing the growing prominence of minimally invasive techniques.
On Particularities of the Realization of Unilateral Constraints with Piecewise Smooth Boundaries
Authors:   Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, Burov A. A.
Published: December 2024

Examples of mechanical systems subjected to unilateral holonomic constraints are considered. It is assumed that the boundary of the area of unconstrained motion has singularities. Possible ways of resolving the singularities based on knowledge about the mechanical origin of the constraints are indicated.
IBN ‘ARABĪ’S CREATIVE IMAGINATION AND ITS ECHOES IN D.H. LAWRENCE’S WOMEN IN LOVE
Authors: Kortas Cyrine
Published: December 2024

This paper employs textual analysis and comparative literary methods to examine the mystical and spiritual dimensions of D. H. Lawrence's Women in Love through the lens of sufi mysticism. It posits that Lawrence's engagement with sufi philosophy and literature significantly informed his portrayal of love as a transformative spiritual journey. By scrutinizing Lawrence's use of symbolism, imagery, and character development, particularly in the character of Birkin, the study aims to demonstrate how the novel reflects a profound resonance with sufi concepts, such as the unity of the universe and the mystical path for knowledge. This comparative approach seeks to illuminate how Women in Love can be interpreted as a modernist exploration of spiritual fulfillment within a context of societal disintegration, thereby establishing its place within Lawrence's broader “New Man” fiction. Through Birkin, Lawrence explores the complexities of the human psyche and the potential for transcendence through a passionate, yet spiritually grounded love. The paper’s comparative approach seeks to illuminate how the novel contributes to Lawrence's broader “New Man” fiction, a visionary archetype striving for a harmonious integration of body, mind, and spirit. Lawrence’s “New Man” embodies a radical departure from traditional masculinity that collapsed after the war. The new archetype Lawrence envisions in the light of a sufi reading is not the product of societal expectations but an individual attempt at authenticity.
AUGUSTE COMTE’S POSITIVISM
Authors: Okta Anuhgra Yudha
Published: December 2024

Islamic education encompasses not only worship but included in it is the aspect of using reason to understand God's creation and how the universe works. Science continues to develop and requires humans to be able to adapt to developments over time. Comte's positivist thinking can be linked to the context of Islamic education in giving rise to efforts to strengthen Islamic education. This research explores Auguste Comte's positivist thinking, compares it with Islamic values, and examines the potential of positivism for Islamic education. This research explores Auguste Comte’s positivism, contrasting it with Islamic values, and examines the potential of positivism for Islamic education. This research uses a qualitative approach, utilizing literature reviews from various relevant books and journals. This research ultimately produced findings that Comte’s positivism elevates the scientific method while sidelining metaphysical discussions, including religion. Key characteristics of positivism are value-free perspectives, phenomenalism, reductionism, naturalism, and mechanism. Comte proposed a “law of three stages” outlining human development from theological to metaphysical and finally to positivistic stages. While he did not advocate abandoning religion, he sought to separate science and religion. Comte's view of trying to separate science from religion is contrary to Islam's emphasis on religious values. Islamic education can adopt aspects of positivism by enhancing empirical and interdisciplinary studies. Also, prioritizing scientific and empirical inquiry in understanding phenomena to foster critical thinking and innovation within an Islamic education framework. Thus, integrating empirical, interdisciplinary, and scientific studies within Islamic education can enrich itself while maintaining its foundational values.
AL-FĀRĀBĪ’S SYNTHESIS
Authors: Hafizah Fithri Dzakiyyah , Kharisman Hadi
Published: December 2024

The discourse surrounding Islamic philosophy has garnered significant attention among scholars, highlighting a multitude of benefits and limitations related to its authenticity and its position as an essential component of Islamic cultural legacy. Some believe that Islamic philosophy is simply a reinvention of Greek philosophical concepts, thus undermining its credibility. Conversely, proponents advocate the integration of Greek philosophical principles with Islamic tenets as a synthesis rather than a simple replication. This article aspires to delve into these diverse perspectives by analyzing the historical transformation of Islamic philosophy, with a spotlight on its initial periods, particularly stressing the impact of Abū Naṣr al-Fārābī (d. 951 CE), a significant figure in Islamic philosophy who synthesized Greek philosophical ideas, notably those of Aristotle and Plato, to construct a unique Islamic philosophical framework. Through a qualitative conceptual analysis, this article evaluates the authoritative dimensions and philosophical disputes between Aristotle and Plato, particularly concerning ontology and epistemology, while accentuating al-Fārābī’s endeavors to harmonize their philosophical positions. This article suggests that al-Fārābī engaged in a critical examination of both Plato's and Aristotle’s perspectives on universal truth and human cognition, which ultimately led him to incorporate their philosophies into a unique Islamic framework.
Semantic Segmentation in Self-Driving Cars Using U-Net Architecture on Cityscape Dataset
Authors: Huang Jing , Sowe Ebou A.
Published: December 2024

Semantic segmentation has been one of the must research topics in the field of computer vision in recent years. This study was conducted using U-Net architecture in the context of self-driving cars on a cityscape dataset. The U-Net model uses a pre-trained RestNet101 for its encoder for feature extraction, and having skip connections between the encoder and the decoder with RELU activation. The skip connection helps to retain spatial information after downsampling, this enable the model to combined deep layers and fine-grained features. The model achieved 88% accuracy, 75.32% pixel accuracy, 72% precision, 80% recall and 75.79% F1 score metric for 75 epochs for over 2 hours and 30 minutes training time. The model has shown good performance on not only other state-of-the-art medical imaging papers but also on the cityscape dataset various driving scenarios in the context of autonomous driving. Therefore, we concluded that the U-Net model with RestNet101 encoders performed well in a typical complex scene environment on the cityscape dataset.
Application of Gagné’s Instructional Design in Clinical Simulation: Enhancing Learning in Obstetric Emergency Management
Authors: Nagandla Kavitha , Daniel Akshatha , Daniel Shriyaa
Published: December 2024

Background: Simulation‐based learning is a critical component in medical education, particularly for high‐risk scenarios like obstetric emergencies. This study utilized Gagné’s Nine‐ Step Instructional Model to design and evaluate a clinical simulation session on postpartum hemorrhage (PPH) management for fourth‐year medical students. Methods: The session was structured using Gagné’s instructional events, including engaging case vignettes, multimedia presentations, guided practical activities, and immediate feedback. Pre‐ and post‐tests measured knowledge gains, while a 12‐item Likert scale questionnaire assessed student satisfaction. A focus group discussion (FGD) was conducted to explore student perceptions, analyzed thematically to identify key areas for improvement. Results: The session demonstrated significant knowledge improvement, with post‐test scores (mean: 82.9%, 95% CI: 76.8–81.1) significantly higher than pre‐ test scores (mean: 68.4%, 95% CI: 60.7–66.1; p<0.001). The instructional activities received high ratings (mean: 5/5), highlighting the alignment of objectives and content. The FGD thematic analysis revealed five key themes: ʺLearning Effectiveness,ʺ ʺRealism and Application,ʺ ʺFeedback and Improvement,ʺ ʺSession Challenges,ʺ and ʺRecommendations for Enhancement.ʺ Students suggested more diverse scenarios, extended debriefing sessions, and standardized feedback delivery. Conclusion: The integration of Gagné’s instructional model into simulation‐based learning enhanced knowledge acquisition and student satisfaction. Recommendations for improvement include refining feedback mechanisms, increasing session diversity, and extending reflective discussions. This approach supports its utility in teaching critical obstetric skills and highlights opportunities for further enhancement.
Understanding Unconditional Mistrustful Quantum Cryptography Protocols In Nx-ICT Scenarios In Noisy Quantum Channels
Authors: Neyole Jacob
Published: December 2024

Quantum cryptography is a promising way to secure communication in the era of quantum information technologies (Nx-ICT). However, ensuring the confidentiality and authenticity of quantum communication is challenging in the presence of noisy quantum channels and a lack of trust between communicating parties. Unconditional mistrustful quantum cryptography protocols address these challenges by providing security guarantees even when parties do not trust each other. This paper explores the fundamental concepts and methodologies behind unconditional mistrustful quantum cryptography protocols in Nx-ICT scenarios. We examine the theoretical underpinnings of these protocols, which are based on cryptographic techniques from quantum mechanics, such as quantum key distribution (QKD) and entanglement-based protocols. We also review the latest experimental developments and achievements in the implementation of unconditional mistrustful quantum cryptography protocols. We discuss the progress that has been made in mitigating noise-induced vulnerabilities, as noisy quantum channels are common in practical quantum communication systems. Finally, we discuss the future prospects and open research questions in this field. We emphasize the importance of continuous research to improve the efficiency, scalability, and security of unconditional mistrustful quantum cryptography protocols in the face of evolving Nx-ICT applications and advancements.
Novel Approaches in MRI Brain Tumor Classification: Evaluating Machine Learning Models and Feature Extraction Methods
Authors: Kumar Krishan , Jyoti Dr.Kiran , Kumar Krishan
Published: December 2024

Brain tumors are relatively rare, but the incidence of malignancy is very high among all cancers because of their abnormal growth and proliferation. Brain tumors are characterized by an uncontrollable growth of cells in the brain, so proper classification is required for effective treatment and prognosis. Magnetic Resonance Imaging is one of those essential tools for the detection of brain tumors. This paper proposes a novel brain tumor classification model based on Image preprocessing, feature extraction and machine learning techniques with their comparative analysis. This research explores Random Forests, Linear Discriminant Analysis, XGBoost, AdaBoost, and Neural Networks machine learning algorithms with various feature extraction methods like PCA—Principal Component Analysis, HOG—Histogram of Oriented Gradients, and LBP—Local Binary Patterns, for increasing the accuracy of tumor classification from MRI. Respectively, accurate classification models will help healthcare providers deliver effective care. Initially images of different sizes are resized to equivalent size, preprocessed with CLAHE. Then the features are extracted from enhanced images which are passed to various machine learning algorithms to classify the brain tumor. We achieved an accuracy of 99.3% with random forest. This study highlights the significance of feature selection and model tuning in order to maximize classification performance. Still, the problem of brain tumor detection is considered complex because of so many variations in data. Further optimization and experimentation are required to improve the algorithm in real-world brain tumor classification applications
From Serendipity to Precision: Integrating AI, Multi-Omics, and Human Models for Personalized Neuropsychiatric Care
Authors: Tanaka Masaru
Published: December 2024

Background/Objectives: The dual forces of structured inquiry and serendipitous discovery have long shaped neuropsychiatric research, with groundbreaking treatments such as lithium and ketamine resulting from unexpected discoveries. However, relying on chance is becoming increasingly insufficient to address the rising prevalence of mental health disorders like depression and schizophrenia, which necessitate precise, innovative approaches. Emerging technologies like artificial intelligence, induced pluripotent stem cells, and multi-omics have the potential to transform this field by allowing for predictive, patient-specific interventions. Despite these advancements, traditional methodologies such as animal models and single-variable analyses continue to be used, frequently failing to capture the complexities of human neuropsychiatric conditions. Summary: This review critically evaluates the transition from serendipity to precision-based methodologies in neuropsychiatric research. It focuses on key innovations such as dynamic systems modeling and network-based approaches that use genetic, molecular, and environmental data to identify new therapeutic targets. Furthermore, it emphasizes the importance of interdisciplinary collaboration and human-specific models in overcoming the limitations of traditional approaches. Conclusion: We highlight precision psychiatry's transformative potential for revolutionizing mental health care. This paradigm shift, which combines cutting-edge technologies with systematic frameworks, promises increased diagnostic accuracy, reproducibility, and efficiency, paving the way for tailored treatments and better patient outcomes in neuropsychiatric care.
Assessing Walkability in Urban Environments: A Comprehensive Overview
Authors: Sadeghi Obayd , Di Marzo Serugendo Giovanna
Published: December 2024

Walkability, defined as the degree to which urban environments encourage walking, is a vital component of sustainable urban development. It enhances public health, reduces environmental pollution, and fosters social cohesion. This review investigates the current state of walkability research, emphasizing tools such as Geographic Information Systems (GIS), Walk Score, and Agent-Based Modeling (ABM). While traditional methods offer valuable insights, they often neglect socio-economic and demographic factors influencing walking behaviors. ABM enables dynamic simulations that incorporate individual preferences, environmental conditions, and urban design features, offering a deeper understanding of pedestrian movement. Key components of walkability, including density, diversity, design, and safety, are examined alongside the application of multi-criteria decision-making frameworks (e.g., MCDM/MABAC). Insights from global case studies highlight the effectiveness of these tools in modeling pedestrian flows and assessing urban design interventions. This study identifies critical gaps, including the integration of emerging technologies, mental health outcomes, and inclusive design for diverse populations. The findings underscore the need for a global walkability assessment platform, integrating ABM, GIS, and real-time data to guide urban planners in creating healthier, more sustainable cities. Enhancing walkability can significantly improve public health, environmental quality, and quality of life in urban areas worldwide.
Cetacean Sanctuaries: Do They Guarantee Better Welfare?
Authors: Almunia Javier , Canchal Marta
Published: December 2024

The SEA LIFE Trust Beluga Whale Sanctuary (BWS) has been in operation for over five years and serves as a unique case study to evaluate the effectiveness of marine sanctuaries for cetaceans. While cetacean sanctuaries are often regarded as a middle-ground solution between captivity and release, evidence from the BWS highlights complexities in adapting cetaceans to these environments. Despite initial assumptions that natural conditions would inherently improve welfare, the belugas at BWS spent the majority of the operational period (92.6%) in a conventional indoor pool due to health and welfare concerns. Repeated delays, challenges in acclimatization, and stress-related conditions observed during periods in the bay suggest that natural environments alone may not guarantee improved welfare. Additionally, the lack of publicly accessible data on health and welfare outcomes hinders comprehensive evaluation of the sanctuary’s success and raises questions about transparency and evidence-based practices. This review underscores the need for refined sanctuary models, improved infrastructure, and structured adaptation programs tailored to species and individual cetaceans. It highlights the importance of robust planning, ongoing research, and transparency to meet the ambitious goals of marine sanctuaries in the best interest of well-being of cetaceans under human care. These considerations also raise concerns about the decision to relocate captive cetaceans to marine sanctuaries, as the available evidence suggests that such environments may not inherently guarantee better welfare outcomes.
Reimagining Venom Harvesting: Practical Electrostimulation on Vespa velutina Nest in Nature
Authors: Feás Xesús , Cabadas Daniel J. , Vidal Carmen
Published: December 2024

The growing interest in Vespa velutina venom stems primarily from its impact on human health due to stings and its potential pharmacological applications. Traditionally, venom extraction methods have relied on capturing individual hornets or removing and euthanizing entire nests, followed by dissection of venom sacs—a labor-intensive and disruptive process. In this work, we present a novel, non-invasive approach to venom harvesting. Using a portable electrostimulation device, venom was extracted directly from active Vespa velutina nests in their natural habitat. This method eliminates the need for nest manipulation, significantly reducing disturbance and improving efficiency. These visuals highlight the practicality and potential of this groundbreaking technique, opening new avenues for sustainable and scalable venom collection.
Optimization of Water Resources Allocation Under Multi-Objective Constraints in Ecologically Fragile Area
Authors: Tursun Gulbostan , Xiuxiu Ge , Mengmeng Lei , Maimaiti Aibibaier
Published: December 2024

The current water use structure in Xinjiang is characterized by high water consumption and low output.Finding optimal water resources allocation for crops and ecological is necessary to increase the efficiency of water usage. This study takes Abby Lake Basin as an example to quantify the social, economic, and ecological values of surface water generation,the optimal allocation model of water resources with the maximum economic-ecological benefit, the minimum water shortage and Food security as a constraint as the objective function was constructed. The improved third generationnon-dominated sorting genetic algorithm ( NSGA-Ⅲ) was used to solve the model.The results show that the total economic-ecological benefit generated by surface water in the Abbey Lake Basin through optimization could reach 3.09 ×1010yuan in 2021,About 36.5% higher than the original benefit .Also, the volume of the water shortage is 301,800 m3, of which 78.2% of the water shortage in the Bortala River Basin, 21.2% of the water shortage in the Jing River Basin, and 197,447.89m3 river water allocated to the lake water.When social benefit minimization takes precedence,economic-ecological benefit values are 2.72×1010 yuan, the volume of the water shortage is 326.53m3, of which the Bortala River shortage is 326.40m3, Jing River is 0.1m3 and 1208,869.56m3 river water is allocated to the lake. In this condition, the economic-ecological benefit is smaller than the first condition, but still 20.3% higher than the actual production of economic value.This research results provide new ideas and approaches to water resources management in arid zones.
AIPE-Active Neutral Ir(III) Complexes as Bi-Responsive Luminescent Chemosensors for Sensing Picric Acid and Fe3+ in Aqueous Media
Authors: Zhang Qinglong , Xu Jiangchao , Xu Qiang , Liu Chun
Published: December 2024

Three neutral iridium complexes Ir1-Ir3 were synthesized using diphenylphosphoryl-substituted 2-phenylpyridine derivatives as the cyclometalating ligand and picolinic acid as the auxiliary ligand. They exhibit significant aggregation-induced phosphorescent emission (AIPE) properties in H2O/THF and have been successfully used as bi-responsive luminescent sensors for the detection of picric acid (PA) and Fe3+ in aqueous media. Ir1-Ir3 possesses high efficiency and high selectivity for detecting PA and Fe3+, with the lowest limit of detection at 59 nM for PA and 390 nM for Fe3+. Additionally, the complexes can achieve naked-eye detection of Fe3+ in aqueous media. Ir1-Ir3 exhibit excellent potential for practical applications in complicated environments. The detection mechanism for PA is attributed to photo-induced electron transfer (PET) and Förster resonance energy transfer (FRET), and the detection mechanism for Fe3+ may be explained by PET and the strong interactions between Fe3+ and the complexes.
Brute Force Computations and Reference Solutions
Authors: Konstantinov Mihail Mihaylov , Petkov Petko Hristov , Madamlieva Ekaterina Borisova
Published: December 2024

In this paper, we consider the application of brute force computational techniques (BFCT) for solving computational problems in mathematical analysis and matrix algebra in floating-point computing environment. These techniques include, among others, simple matrix computations and analysis of graphs of functions. Since BFCT are based on matrix calculations the program system MATLAB® is suitable for their computer realization. The computations in this paper are done in double precision floating-point arithmetic obeying the 2019 IEEE Standard for binary floating-point calculations. One of the aims of the paper is to analyze cases when popular algorithms and software fail to produce correct answers without warning for the user. In real time control applications this may have catastrophic consequences with heavy material damage and human casualties. It is known, or suspected, that a number of man-made catastrophes such as Dharhan accident (1991), Ariane 5 launch failure (1996), Boeing 737 Max tragedies (2018, 2019) and others are due to errors in the computer software and hardware. Another application of BFCT is finding good initial guesses for known computational algorithms. Sometimes simple and fast BFCT are useful tools in solving computational problems correctly and in real time. Among particular problems considered are genuine addition of machine numbers, numerically stable computations, finding minimums of arrays, minimization of functions, solving finite equations, integration and differentiation, computing condensed and canonical forms of matrices and clarifying the concepts of least squares method in the light of the conflict Remainders vs. Errors. Usually BFCT are applied under user’s supervision which is not be possible in automatic implementation of computational methods. To implement BFCT automatically is a challenging problem in the area of artificial intelligence (AI) and of mathematical artificial intelligence (MAI) in particular. BFCT allow to reveal the underlying arithmetic (FPA, VPA, etc.) in the performance of computational algorithms. Last but not least this paper may have some tutorial value since at certain places computational algorithms and mathematical software are still taught without taking into account the properties of computational algorithms and machine arithmetic.
Morality of Online Gambling Students and Online Loan Customers in Banyumas
Authors: Wati Ratna Kartika , Faridli Efi Miftah
Published: December 2024

The aim of this research is to analyze and describe students' involvement in online gambling games and online loans and their morality in terms of Piaget's theory of moral development. The research method is a qualitative approach. Data sources were obtained through interviews. The data analysis technique uses qualitative analysis techniques from Cresswell.The results of this research are (1) The process of reconstructing students in online gambling games and online loans is through a trial and error stage due to the invitation of friends, over time it becomes an addiction and a necessity, (2) the students who were informants in this research were in the moral education level category according to Jean Piaget at level 3, namely basically egocentricity has been reduced, and the application of norms has become an activity. social. (3) The results of this research are certainly a critical study, that the setting of age ranges in Jean Piaget's theory of moral development needs to be re-examined, because a student who has Ages above the age limit set by Jean Piaget are still experiencing a developmental.
STRATIGRAPHIC DRILLING IN THE NORTHEASTERN LAPTEV SEA: MAIN RESULTS AND FURTHER DEVELOPMENT
Authors: Malyshev N.A. , Verzhbitskii V.E. , Danilkin S.M. , Kolyubakin A.A. , Ershova V.B. , Borodulin A.A. , Obmetko V.V. , Komissarov D.K. , Boldyrev M.L. , Vasil’eva I.S. , Rogov M.A. , Popova A.B. , Makhova O.S. , Stavitskaya V.N. , Timoshenko T.A. , Alymov A.N. , Shein V.A. , Ugryumov A.S. , Vasilev V.E. , Gatovskii Yu.A. , Lakeev V.G. , Lukashev R.V. , Aleksandrova G.N. , Lidskaya A.V. , Simakova A.N. , Lopatina D.A. , Bordunov S.I. , Suslova A.A. , Stupakova A.V. , Nikishin A.M.
Published: December 2024

The Russian sector of the Eastern Arctic is characterized by large basins with thick sedimentary filling, primarily on the shelf and continental slope of the seas of the Arctic Ocean. A number of geological, geophysical, and geochemical features point to a hydrocarbon potential. At the same time, the age and composition of the sedimentary infill of the shelf basins have been controversial until now due to the lack of wells drilled in the shelf area. Six stratigraphic wells were drilled with core sampling in the eastern Laptev Sea (Anisin–Novosibirsk block owned by Rosneft) with a depth of 100 to 199.5 m during the Rosneft Stratigraphic Drilling in Arctic (RoSDAr) project in 2021. The results of complex biostratigraphic studies of the core show that the oldest strata in the well sections are Upper Barremian – Lower Aptian deformed silty mudstones (folded basement assemblage) overlain with angular unconformity by sands, silts, and clays of the Paleocene. The wells also penetrate the Eocene, Oligocene, and Miocene-Quaternary clastic rocks. A comprehensive analysis of stratigraphic drilling and seismic data refines the geological models of the region and provides better understanding of its hydrocarbon potential. The data show that Cenozoic strata play a more significant role in the sedimentary cover of the Laptev Sea than was previously assumed.
Climatic Extremes Drive Abrupt Shifts in the Distribution of Franklin’s Gull
Authors: Shuford W. David , Beckstrand John
Published: December 2024

Franklin’s Gull (Leucophaeus pipixcan) nests in marshes, primarily in the Great Plains, Great Basin, and Intermountain West. On the periphery of the range, its nesting was first documented in Lower Klamath National Wildlife Refuge in 1989, but numbers remained very low through the early 1990s. After first spiking in the Klamath Basin in 2003, numbers generally were modest through 2013, then increased greatly (many hundreds to low thousands) in most years from 2014 to 2022, but dropped sharply in 2023. In 2012, observers counted 100 nests at Lower Klamath, and other indirect evidence implied nesting at or near Lower Klamath and Tule Lake national wildlife refuges from 1994 to 2022. These changes are part of a broader pattern of increases in adjacent regions. Colonization of the Klamath Basin followed displacement of gulls from flooded marshes at Great Salt Lake and elsewhere in the mid-1980s, but from the early 1980s onward likely was facilitated by local management that greatly extended early-successional marshes. Since 2003, spikes in Franklin’s Gull numbers in the Klamath Basin have largely coincided with extended drought in areas with the nearest large colonies in Utah, Idaho, and southeastern Oregon. Rangewide population trends are poorly documented and difficult to track because the breeding marshes’ dynamism drives variation in colony sizes and locations. As climate warming increases the magnitude and frequency of droughts and floods, more accurate monitoring of population trends in Franklin’s Gull is needed. Meanwhile, anecdotal observations may give early warnings of population fluctuations and range shifts.
Apparent Hybrid Ruby-throated × Rufous Hummingbirds in Western Canada
Authors: Williamson Sheri L.
Published: December 2024

We present six observations, including photographs, of at least four individual hummingbirds from Alberta and British Columbia that we have identified as hybrids between the Ruby-throated (Archilochus colubris) and Rufous (Selasphorus rufus) Hummingbirds, a hybrid combination currently poorly documented in the literature. Diagnostic features include the shapes of the primaries, the colors and relative lengths of the rectrices, and the gorget in the males. This hybrid combination adds to an already long list of hybrids between sympatric hummingbirds, many between species ascribed to different genera, as in this example. Field identification of hybrid hummingbirds, especially of females and immatures, can be very challenging, and many individuals are likely overlooked. One hybrid we report from Alberta was at first mistaken for an extralimital Broad-tailed Hummingbird (Selasphorus platycercus). We encourage observers to document and report potential hybrid hummingbirds to further our understanding of hybridization in this family.
14C, XRD, SEM / EDS analyses of two vessels from the Bronze Age hearth complex in central Russia: Causes of the freshwater reservoir effect, determination components of ceramic and its firing conditions
Authors: Voronin Konstantin
Published: December 2024

Two vessels of the Textile Ceramics culture were discovered in the Bronze Age hearth complex of the prehistoric settlement Pesochnoye 1, located on the shore of Lake Nero in central Russia. These vessels along with the sample of modern day sapropel from the lake were subsequently dated using the 14C method and studied by XRD and SEM/EDS analyses. Due to the freshwater reservoir effect at a confidence level of 2 sigma the 14C age of sediments from the inner surfaces of the vessels appeared ~ 400 - ~1000 14C years older than their actual archaeological age. The 14C age of vessels using ceramic pastes was older by ~ 500 - ~1200 14C years older than their true archaeological age. The 14C age of the modern day sapropel sample turned out to be ~ 1000 - ~1200 14C years older than the actual one. Phase determination (XRD) and the determination of elemental composition (SEM/EDS) of the ceramic pastes of the studied vessels and the sapropel sample showed their same phase composition and similar elemental composition. In the ceramic pastes of the vessels and the sapropel sample the mineral phase of calcite was identified. As it is known, ancient calcium carbonates are one of the common causes of the freshwater reservoir effect in radiocarbon dating of objects formed or created with the participation of substances or materials from the aquatic environment. Sapropels from Lake Nero are characterised by the presence of calcite in them. Therefore, the fact that calcite contains in the ceramic pastes of the studied vessels among other things, indicates the use of sapropel from this lake as one of the components in their manufacture. The mineral phases of illite, α-quartz and feldspars (anorthite, orthoclase), as well as particles of bone powder, the result of man-made admixture, were also recorded in the ceramic pastes of the studied vessels. The presence of the α-quartz mineral phase, which has the lowest phase transition temperature among the identified minerals, indicates that the firing of the vessels under study was carried out at temperatures with the upper level of values not exceeding ~ 573 ℃.
Nitrogen Niche Differentiation And Overyielding Along A Legume Proportion Gradient In A Subtropical Grass-Legume Mixture
Authors: Caram Nicolas , Sollenberger Lynn E. , Marcelo Wallau O. , Dubeux Jose C. B.
Published: December 2024

Background and Aims
Grasses and legumes co-exist in grasslands partially because of nitrogen (N) niche partitioning and facilitation. Grasses stimulate legume biological N fixation (BNF) by depleting soil N, simultaneously benefiting from the N that legumes fix. While these responses and mechanisms are maximized at ~ 40% legume proportion in temperate grass-legume mixtures, they have remained little studied in warm climates. Here, we explored N niche differentiation and overyielding along a legume proportion gradient in a subtropical grass-legume pasture.
Methods
Bahiagrass (Paspalum notatum Flügge; C4 grass) and rhizoma peanut (Arachis glabrata Benth.; C3 legume) were studied in pastures encompassing a legume gradient of zero (grass monoculture) to 60% (grass-legume mixture). Twenty-four sites were clipped at 4-week intervals during four periods per year over two years (n = 192). Samples were analyzed for total and atmospheric N concentration using the natural abundance technique (\(\:{{\delta\:}}^{15}\)N). The proportion of soil-derived N was estimated by the difference between total and atmospheric N concentration in shoot biomass.
Results
Nitrogen niche differentiation and overyielding were maximized between 33–41% legume. Within this optimum range, the atmospheric and soil-derived N content in shoot biomass overyielded the grass monoculture by 84–148% and 75–79%, respectively, during both years. Within this range, the BNF averaged 10.0-13.8 g N m− 2 during both years, overyielding sites with maximum legume proportion by 27–50%. At 35% legume, the soil-derived N yield was 225–285% and 73–134% greater than for grass monoculture and legume-dominated sites.
Conclusion
Moderate legume proportions (30–40%) maximize N niche differentiation and overyielding compared with subtropical grass monocultures and legume-dominated grasslands.
Percieved Quality of Nursing Care and Associated Factors Among Nurse Working at Public Hospitals, Addis Ababa, Ethiopia, 2024
Authors: Ahmed Sindew
Published: December 2024

BACKGROUND: Poor quality nursing care services are not merely harmful but also lead to waste of the economy of the country which will help improve the lives of citizens which leads to, disorganization of the service, conflicting roles, medication error, poor disease prognosis, readmission, dissatisfaction with the care provided, and increased mortality.
OBJECTIVE: To assess perceived quality of nursing care and associated factors among nurse working in public hospitals of Addis Ababa, Ethiopia, 2024
METHODS: An institutional based cross-sectional study was conducted in four selected hospitals of Addis Ababa, Ethiopia. A total of 563 nurses were included in this study. Study participants were selected using simple random sampling. Self-administered questionnaire was used. Pre-test questionnaire was done at another site and data were checked for completeness, clean and enter into Epi-Data version 3.1and export into SPSS version 27 for analysis. The descriptive part was presented using narration, in tables and figures. A Bivariable logistic regression was used to identify potential candidate variables. To control potential confounding variables, principal component analysis was done; the regression result was presented using AOR with 95% CI and p value less than 0.05 as level of significance.
RESULT: The overall perceived quality of nursing care among nurses working in public hospitals of Addis Ababa was 46.5%, 95%CI :( 42.4%-50.4%). The finding identified that age group 30-39 years and 40-49 years AOR=6.31, 95%CI: (3.75,10.62) and AOR=8.66,95%CI: (4.88,15.37) respectively, having >=5 years AOR= 2.17, 95%CI:(1.43, 3.29) and working department( nurse working in surgical and obstetrics and gynecology department) AOR=.49,95%CI:(0.29,0.82) and AOR=.29,95%CI:(0.17,0.51) respectively were factors significantly associated with perceived quality of nursing care.
CONCLUSION AND RECOMMENDATION: The finding of this study indicates more than half of nurses perceived as quality nursing care was poor. Age, year of experience and working department were factors associated with quality of nursing care. Hospital managers and other concerned bodies are recommended to take intervention on those identified factors in these studies.