bluuebunny/crossref_metadata_2025 huggingface dataset:
Humanitarian Architecture in Service of Children: Designing an Orphanage for Vulnerable Children in Yaoundé
Authors: Catherine Cynthe Sosso Ngangue , Nlenghen A Ngon Arthur , Talba Mahamat , Owana Frank Loic Bekada , Moyo Florian Mouafo , Charles Bwemba
Published: October 2024

This research explores the impact of humanitarian architecture in designing an orphanage for vulnerable children in Yaoundé, Cameroon. In a context where millions of children are affected by social, economic, and political crises, particularly in Sub- Saharan Africa, humanitarian architecture emerges as a viable response to ensure their protection and well-being. The literature review highlights the key principles of humanitarian architecture, such as user-centered design, the use of local and sustainable materials, and the creation of resilient spaces in times of crisis. Through case studies, including projects in Burkina Faso and Mali, this research examines how architectural approaches can be integrated into educational and care facilities to improve the living environment of vulnerable children. The work concludes with design proposals for an orphanage in Yaoundé, focusing on adaptation to the local climate, material sustainability, and community participation, aiming to strengthen the resilience and autonomy of children.
Improving Diploma Training Programs: The Impact and Role of Industry Partnerships
Authors: Alsalem Ibrahim , AlNekheelan Lulwa
Published: October 2024

Diploma training courses play a primitive role in shaping the job market in the present times because young professionals gain deeper knowledge, and enhanced skills aligned with industry needs. Exploration of the evolving dynamics of industry partnerships in diploma training programs has been taken up as the topic for the present research report. The purpose of the research report has been to explore how industry partnerships contribute to the enhancement of diploma training programs, and what the key benefits and challenges associated with these collaborations are in Kuwaiti context. The report has underscored the major implications of the possible collaboration between industry and education realms. Findings of research suggest that though industry partnerships positively impact diploma training in Kuwait, certain challenges remain to be addressed at the earliest through systemic measures. Recommendations provided thereafter focus on how the identified challenges can be directed, and students can be prepared better for the changing job market.
Review Article on Typhoid Fever
Authors: Ramani R.
Published: October 2024

Typhoid fever is primarily found in impoverished countries with inadequate sanitation on a global scale. In the United States, the incidence of typhoid fever has been steadily decreasing since 1900 due to improvements in sanitation and effective antibiotic treatments. While typhoid fever is widespread, 80% of cases occur in the Americas, the Caribbean, Oceania, Bangladesh, China, India, Indonesia, Laos, and Nepal. Each year, approximately 200,000 individuals succumb to typhoid fever, and 21.6 million people are infected with the disease. When treated, the chance of death is 0.2% and there are rarely long-term symptoms. Untreated typhoid fever can lead to fatality and persist for multiple weeks. Lasting complications may involve central nervous system damage. 54 percent of reported typhoid fever cases in the United States between 1999 and 2006 included. One can receive fluids and electrolytes via a vein. For the treatment of typhoid fever, the patient can receive an antibiotic and, in rare circumstances, steroid medications. When prescribed antibiotics, most patients start feeling better after two days, and fatalities are rare. Typhoid cases are generally treated with specific antibiotics such ciprofloxacin, ampicillin, or chloramphenicol. Important public health measures include proper water purification, proper waste disposal, and safeguarding the food supply from contamination. Typhoid carriers should not be permitted to handle food in any capacity. If treatment is not received, patients may have a fever for weeks or months, and up to 20% of them may pass away from infection-related problems. The hospital setting is where those with infections are treated.
Access to Medicines in Low- and Middle-Income Countries – Is the agreement on Trade-Related Aspects of Intellectual Property Rights (TRIPS) to blame?
Authors: Duut Bedima
Published: October 2024

This paper argues that the Trade-Related Aspects of Intellectual Property Rights (TRIPS) Agreement is not solely responsible for the lack of access to medicines (ATM) in Low and Middle-Income Countries (LMICs). ATM is a complex global health governance issue influenced by various factors, including intellectual property laws, trade agreements, domestic policies, and manufacturing capacity.

While the TRIPS Agreement provides flexibilities to address public health concerns, such as compulsory licensing and parallel imports, their effective implementation is hindered by several challenges. This paper emphasizes the need for a multifaceted approach to address ATM, involving domestic policy reforms, international cooperation, and investment in domestic manufacturing capacity. By leveraging these strategies, LMICs can enhance access to essential medicines and improve health outcomes for their populations.
Combinatorial Interpretations of Cranks of Overpartitions and Partitions without Repeated Odd Parts
Authors:   University of Florida, USA, Garvan Frank G. , Sarma Rishabh ,   University of Florida, USA
Published: October 2024

We give combinatorial interpretations of two residual cranks of overpartitions defined by Bringmann, Lovejoy and Osburn in 2009 analogous to the crank of partitions given by Andrews and the first author in 1988. As a consequence, we give new versions of their definitions without adjusted weights. Furthermore, we investigate the combinatorial interpretation of an $M_2$-crank of partitions without repeated odd parts and explore connections of these statistics with their companion rank counterparts and the tenth order mock theta functions of Ramanujan.
Le Dictionnaire françois de Pierre Richelet : étude de deux ouvrages censurés
Authors: Herbland Alain
Published: October 2024

Premier dictionnaire entièrement rédigé en français, le Dictionnaire françois de Pierre Richelet a fait l’objet d’appréciations diverses voire contradictoires. Pour certains, c’est un ouvrage peu recommandable, à ne pas mettre entre toutes les mains, tant il est inondé de grossièretés malignes et de gaillardises. D’autres lui ont reproché d’avoir éliminé les mots bas et orduriers ou encore d’être un dictionnaire destiné à « l’honnête homme » qui définit les mots en homme de goût et de raison, volontiers puriste. Une trouvaille fortuite de deux exemplaires de ce dictionnaire ayant fait l’objet d’une censure nous a permis d’identifier facilement les mots et les notices peu recommandables de sa nomenclature et de la comparer à celle de deux dictionnaires contemporains, le Dictionnaire universel de Furetière (1690) et le Dictionnaire de l’Académie française (1694). Il en ressort qu’effectivement le Richelet , à la différence des deux autres, à la fois par le choix des mots, des exemples et des citations, se révèle être un dictionnaire haut en couleur, truculent voire provocateur. Ce qui n’enlève rien à ses qualités lexicographiques. Il nous apparaît comme l’œuvre d’un homme libre, appartenant à cette société érudite de la fin du XVII e siècle, dont nous avons peut-être un peu oublié le franc-parler.
Les dictionnaires, « leurs économies » faisables et infaisables et les nouveaux métiers : l’économe-lexicographe et le lexico-économiste
Authors: Lo Nostro Mariadomenica
Published: October 2024

À la lumière de toutes les études analysant et synthétisant l’état de la production lexicographique, cette réflexion vise à examiner si, à l’ère du numérique, les conditions sont favorables aux rédacteurs et aux éditeurs des dictionnaires afin qu’ils puissent envisager de « faire des économies » sans en appauvrir le contenu et, également, si la formation du lexicographe peut être assujettie à des connaissances ou accompagnée par des figures professionnelles supplémentaires issues d’autres domaines.
Créativité lexicale et discursive dans le discours de marketing : corpus, traitement automatique lexicographique et analyse prédicative
Authors: Mizouri Imen , Zhu Lichao
Published: October 2024

Notre étude examine la créativité lexicale et discursive dans le discours de marketing. Pour ce faire, nous nous appuyons sur un corpus varié qui est constitué de dictionnaires de langue générale et de spécialité, d’affiches publicitaires, de tweets, à l’aide d’outils informatiques que nous avons créés. Cela nous permet de dégager plusieurs facettes de la créativité discursive (le moule, l’enchaînement, etc.). Pour affiner notre analyse, nous nous inscrivons dans le cadre d’analyse prédicative de la triple articulation du langage.
Entre langue et économie : le vocabulaire de l’immobilier
Authors: Leo Maria
Published: October 2024

L’achat d’un bien immobilier est une opération importante et délicate qui ne s’improvise pas, pouvant devenir l’achat d’une vie, elle implique une tâche difficile, qui requiert une certaine connaissance du sens des mots et des lois. Le vocabulaire de l’immobilier se caractérise surtout par son aspect technique et par le fait que le marché des biens immobiliers emploie un vocabulaire très spécialisé. Non seulement dans le ressort de la vente mais aussi dans celui de l’achat et de la location. Sans une bonne connaissance de ces termes, il est compliqué de comprendre les informations présentes dans les annonces ou dans des documents spécialisés tels que des contrats immobiliers, des décrets ou des clauses de droit. Fort de ces informations, nous essaierons d’analyser le vocabulaire juridique de l’immobilier, de comprendre la façon dont il est apparu, ce qui l’a façonné, et par là même saisir les changements de sens.
Fragmentary data and scattered lands: a recording protocol for a comparative archaeothanatological analysis based on archaeological illustrations
Authors: Solomou Anastasia Chrysanthi
Published: October 2024

Cet article examine le traitement des morts dans trois cimetières de l’âge du Bronze en Grèce continentale, par rapport à six cimetières de la même période dans les Cyclades. L’étude présentée a été entreprise en vue d’explorer si et à quel point il y a des divergences identifiables entre ces deux régions en ce qui concerne les pratiques mortuaires, question liée à une discussion plus large à propos de la présence d’objets et d’architecture d’origine ou d’influence cycladique dans certains cimetières de la Grèce continentale. Cette étude vise à reconstituer les pratiques mortuaires en mettant au point un protocole pour enregistrer les os humains à partir des illustrations de fouille (photos, dessins). Le protocole est basé sur des principes de l’archéothanatologie et il est structuré à l’aide d’un arbre de décision, assurant ainsi sa comparabilité et répétabilité. Les résultats montrent des différences entre Tsepi, Aghios Kosmas (Grèce continentale) et les Cyclades, impliquant des pratiques mortuaires différentes : les tombes de Tsepi et éventuellement d’Aghios Kosmas étaient remplies de terre après chaque interaction, alors que celles des Cyclades ne l’étaient pas ; des différences sont aussi observées dans la structure architecturale des interférences secondaires. Néanmoins, l’interprétation de Manika, en Eubée, est plus nuancée, étant donné qu’elle présente à la fois des similarités avec les cas d’étude cycladiques et avec ceux de la Grèce continentale.
A Dual Detection Head YOLO Model With Its Application in Wheat Ear Recognition
Authors: Jing Furong , Wang Cui , Li Jianhui , Yang Cheng , Liu Hui , Chen Ying
Published: October 2024

The spike number(SN) per unit area is an important indicator for measuring wheat yield. The use of AI to detect and count wheat ears is increasingly valued by researchers. In order to improve the accuracy of wheat ear recognition, the model is deployed on limited mobile devices to achieve accurate estimation of wheat yield. This paper proposes a lightweight hybrid design network Wheat-YoloNet based on improved YOLOv8 for wheat ear recognition. On the basis of the YOLOv8 network structure, we only retain small and large object detection heads, reducing the number of network parameters while ensuring detection performance. We added CBAM attention mechanism module to Backbone to improve the feature extraction performance of the model and introduce Wise-IoU to balance the samples. Compared with the YOLOv8n baseline model, the improved model has reduced parameter count by 33.3%, outperforming other comparison object detection algorithms, and can be deployed and run on devices with limited computing power.
Risk Prediction and Prevention Strategies Used by the Financial Industry Are Supported by Artificial Intelligence Technologies
Authors: Fu Xiaoyuan
Published: October 2024

With the advancement of artificial intelligence (AI) and big data technology, traditional financial management faces challenges in meeting modern needs. China's financial sector, although late to start, is embracing AI to mitigate risks like business and credit risks. This study explores risk prediction and avoidance methods in finance using AI. It employs elementary catastrophe theory to analyze dynamic system discontinuity, identifying high-risk periods when the calculated financial stress index (FSI) exceeds 1. Each unit increase in FSI affects its lag period by 0.7327 units. Macro-economic pressure, reflected in the macroeconomic pressure index (MSI), significantly impacts FSI, with the current period having a more pronounced effect than the lag period. Financial institutions must evolve talent into hybrid professionals and invest in AI to enhance risk management while pursuing profitability.
Cryptocurrency Transaction Fraud Detection Based on Imbalanced Classification With Interpretable Analysis
Authors: Yin Pei , Jiang Wen-long , Ma Zi-jie , Zhang Li-ke
Published: October 2024

This study introduces an interpretable imbalanced data classification method for detecting cryptocurrency transaction fraud. We address data imbalance using SMOTE oversampling and data augmentation through contrastive learning. Next, we introduce a Transformer-based deep learning model that learns sample relevance. The model undergoes pre-training with a contrastive loss and fine-tuning through Bayesian optimization to effectively extract high-dimensional, higher-order, and fraud-related features. We employ a SHAP-based interpreter along with attention scores to elucidate the role of various transaction features in fraud detection. Comparative results demonstrate the model's remarkable recall performance in identifying cryptocurrency transaction fraud. Furthermore, it achieves an excellent F1 value, striking a balance between accuracy and recall. This research not only enriches financial fraud detection but also enhances cryptocurrency transaction security, promotes market development, and contributes to economic stability and social security.
An Equation Model on the Professional Knowledge and Confidence for Future Employment of Students in Programs Supported With Emerging Technologies
Authors: Liao XiFeng
Published: October 2024

Students enrolled in interdisciplinary programs supported with modern information technologies may face more challenges in learning, because they must learn from at least two curricula, including courses of big data, new media technologies and intelligent platform use, etc. Taking students in these programs as an example, this study aims to investigate relationships among eight variables related to student career development. The research employed the quantitative method of Pearson bivariate analysis, ANOVA and Hayes (2017) regression procedure to test the direct and indirect relationship among variables. The researcher developed a moderated mediation model visualizing the relationship between professional knowledge and confidence for successful employment. Recommendations of early intervention targeting first-year students and different curriculum designing were proposed to facilitate planning in the acquisition of professional knowledge and the establishment of career goals, aiming to enhance the career development and success of tertiary vocational college students.
DHKFN
Authors: Zhang Pei , Hu Ping , Li Gang , Lv Yingying , Wan Meng
Published: October 2024

Knowledge tracing is effective in modeling learners' knowledge levels to predict future answering situations based on their past learning history and interaction processes. However, current methods often overlook the impact of knowledge point correlations on answer prediction. This paper design a model based on deep hierarchical knowledge fusion networks (DHKFN). It utilizes statistical approaches to construct correlation matrices to capture the correlations between knowledge points. Subsequently, it constructs a topology graph structure of questions and knowledge points and utilizes a multi-head attention network to learn student interaction information from multiple perspectives, effectively constructing adjacency matrices. Finally, it uses GCN to learn the interaction information representation between deep-level knowledge points from dynamically constructed a topology graph structures. Experimental results on three large public datasets show that DHKFN effectively considers the influence of correlations between different knowledge points, thus showing promising effectiveness.
Demystifying Ambiguous Words in Request for Proposals of Information Systems in Japan
Authors: Nakamichi Toru , Inayoshi Hiroki , Nishiura Kinari , Sasakura Mariko , Monden Akito
Published: October 2024

Disagreements in interpreting words in software requirements specifications (SRSs) can lead to project failure. Various approaches to identifying and preventing ambiguous words in SRSs have been proposed. Yet, it is unclear which ambiguous words are used in the actual SRSs and to what extent they need to be modified. This paper quantitatively analyzes existing SRSs to clarify (1) how many ambiguous words are included in SRSs and (2) how many of these words require correction. This paper targets the Request for Proposals (RFPs), which describe the initial requirements of 40 systems of local governments, libraries, universities, and hospitals in Japan. Ten ambiguous Japanese words were analyzed. The result shows that “juubun” (sufficient) appeared most frequently, and 42% required correction when this word was used. The result also indicates that the number of ambiguous words varied greatly among the RFPs and that larger RFPs did not necessarily contain more ambiguous words.
Semantic Web-Based Identification of Key Causative Factors and Chains for Team Error in NPPs' ACR
Authors: Wen Jing , He Jiayuan , Wang Ye , Tan Haibo , Li Pengcheng
Published: October 2024

Team errors are identified as a major contributor to incidents in safety-critical systems like nuclear power plants (NPPs). Safety in NPPs is more dependent on team performance than individual, and reducing team errors requires identifying key causative factors and chains. Current studies primarily use qualitative analysis whereas lacking quantitative methods. This study addressed this by constructing a complex network model of team error based on semantic features and coding of the Semantic Web and determining criteria for selecting key causative factors by three node failure strategies. The top 5 team error key PSFs and top 5 high-risk causative chains were identified in the results. Finally, a set of control strategies was proposed further. This research can guide identifying key causative factors which could be a good starting point to scrutinize the team performance and establish control strategies for team error in NPPs.
Clustering and Prioritization of Web Crowdsourced Test Reports Based on Text Classification
Authors: Liao Jingjing , Xiao Lei , Xie Xiaozhu , Zhou Xiaodan , Li Yihao
Published: October 2024

In crowdsourced testing, prioritizing numerous test reports is critical for improving developer review efficiency. Many researchers have proposed methods for prioritizing crowdsourced test reports for mobile applications, however, web crowdsourced test reports usually contain more detailed text and more complex screenshots, which makes prioritizing them especially necessary. This paper proposes a prioritization method named TCDiv, based on the data characteristics of web crowdsourcing test reports. First, using a pre-trained TextCNN model, the text of each report is segmented into two parts: reproduction steps and defect descriptions. Then, features are extracted from textual and image information respectively, and clustering technique is utilized to classify similar reports, and finally the clustering results are ranked and sampled. To validate the approach, experiments were conducted on 717 web crowdsourced test reports. The results show that TCDiv can detect more different defects in a limited time, thus improving the review efficiency of the development team.
Research on the Matching Mechanism Between E-Commerce Channels and Advertising Appeals
Authors: Cui Yi , Gu Meng , Li Jie
Published: October 2024

An increasing number of enterprises are adopting a dual-channel business strategy that combines short video e-commerce with traditional e-commerce in their online activities. Previous research on advertising appeals has primarily focused on ad content, products, and consumers. However, the lack of attention given to shopping channels raises a question for the retail industry: How can enterprises create differentiated ads that cater to the needs of consumers in different channels? Across three studies, this research builds upon the regulatory focus theory to demonstrate that consumers on e-commerce platforms, as opposed to short video platforms, are more likely to adopt a prevention-focused mindset rather than a promotion-focused one and vice versa. This positive consumer response arises from the flow experience generated by the regulatory fit between e-commerce channels and advertising appeals. The findings of this research offer both theoretical and practical contributions to the realms of marketing and e-commerce.
Midwives’ experiences regarding recordkeeping during intrapartum care in Limpopo Province healthcare facilities
Authors: Maesela Phogole C. , Mathibe-Neke Johanna M.
Published: October 2024

Background: South Africa has experienced an increase in litigations because of poor recordkeeping. The quality of maternal healthcare necessitates quality recordkeeping. All midwives’ interventions should be documented in the maternity case record as an instrument to highlight the quality of intrapartum care offered.Objectives: The purpose of the study was to determine and describe the experiences of midwives regarding recordkeeping during intrapartum care in Limpopo province and to make recommendations to improve recordkeeping.Method: A qualitative, explorative and descriptive design was adopted. Midwives were selected purposively to participate in focus group discussions. Data were thematically analysed with the help of the independent transcriptionist and coder.Results: The findings revealed the themes: perceptions of midwives regarding recordkeeping and the challenges and enablers that influence recordkeeping during intrapartum care.Conclusion: Quality recordkeeping requires timely, detailed, comprehensive and accurate recording. The study recommended the availability of updated guidelines, in-service training, monitoring and evaluation of recordkeeping, peer review, record auditing, proper time management among midwives and appointment of staff in line with the staffing needs of the unit to enhance recordkeeping.Contribution: Quality recordkeeping has a positive impact on the provision of quality healthcare to mothers during intrapartum care and reduces litigations related to maternity cases.
Bridging the gap: Ethical leadership, human resource practices and organisational justice
Authors: Grobler Anton , Grobler Sonja
Published: October 2024

Orientation: Perceived organisational justice (POJ) and the role of human resource (HR) practices have been well documented, researched and argued. The role of leadership, and specifically the perception of ethical leadership in the relationship between HR practices and POJ has not been investigated, especially not in South Africa.Research purpose: This study aimed to determine the extent to which HRs practices influence POJ and the mediating role of ethical leadership, through a sectoral comparison.Motivation for the study: It is often, and rightfully, argued that the experience of HR practices determines employees’ perception of organisational justice; however, there is paucity in the perception of ethical leadership.Research approach/design and method: This study used a cross-sectional design and survey methodology. Convenience sampling resulted in 1184 respondents from 20 organisations in the South African private and public sectors.Main findings: A positive significant (p  0.05) relationship exists between HR practices and POJ, mediated by ethical leadership (mediation 32% for the private sector, 13% for the public sector and 21% for the combined sample).Practical/managerial implications: This research endeavour has the potential of empowering the leadership to propose concrete HRs strategies to cultivate proactive work behaviours influencing performance and competitiveness.Contribution/value-add: This study validated the ethical leadership and POJ instruments to be used with confidence in South Africa. It further emphasised the importance, not only of the perceptions of HR practices on the perception of organisational justice but also the role of leadership in this relationship, specifically ethical leadership.
ANALYSIS OF THE MAIN TOURISM PUBLIC POLICIES IN MOZAMBIQUE
Authors: Benjamim Leonildo Fernando , Azevedo Francisco Fransualdo de Azevedo
Published: October 2024

The main aim of this research is to identify the main tourism public policies in Mozambique and to reflect on their role and applicability in reducing poverty in vulnerable communities, essentially to understand how they are implemented and what their level of applicability is. Methodologically, bibliographical and documentary research was applied; this is qualitative research and for data analysis we opted for content analysis to encompass the content presented in the various sources that represent tourism public policies and their role in alleviating poverty and promoting development. The main public policies analyzed were the Tourism Law, Tourism Policy and the Strategic Plan for Tourism Development (1st and 2nd). Regarding the policies consulted, it can be said that Mozambique has good public policies and the main ones adopt tourism as a factor in alleviating poverty and promoting development, but there is little empirical evidence that these objectives are being implemented on a large scale and effectively, as the participatory process and involvement of local communities in their design and implementation leaves something to be desired. There are also questions about the quality of jobs in the sector and their sustainability, given that they are very seasonal and often not legally linked to their employers. keywords: Tourism Public Policies; Poverty Alleviating and Development Promotion; Local Community
MODERN HOTEL, A HOSTING MACHINE
Authors: Paiva Ricardo Alexandre
Published: October 2024

This paper aims to produce a theoretical essay about the modern hotel from a historical and critical perspective, seeking to broaden knowledge about the mutation of this architectural typology in the context of the development of mass tourism, hypothesizing that hotels are "lodging machines". This is a conceptual discussion aimed at fostering and subsidizing the debate on hotels built between the late 1940s and the 1970s, in the context of the Modern Movement. To this end, he recalls the semantic and typological antecedents of the hotel and discusses how the social practices of mass tourism and the role of the state were reflected and reproduced in the mechanisms of modern hotels. Then, it presents aspects relating to the formal and functional typologies that support the idea that the modern hotel is a lodging machine, emphasizing some characteristics that express its architectural modernity. Finally, it highlights the historical and heritage relevance of modern hotels and the importance of documentation for intervention and conservation of this collection as material witnesses of modern architecture and mass tourism. Keywords: Hotel, Lodging Establishments, Modern Architecture, Mass Tourism, Architectural Typology.
RECOGNITION OF DURICRUST GEOMORPHIC SURFACES USING A RELIEF DISSECTION MATRIX
Authors: Brizzi Raphael Rodrigues , Villela Fernando Nadal Junqueira , Catarucci Amanda de Fátima Martin , Palma Heitor Paiva , Vidal-Torrado Pablo
Published: October 2024

Landforms can orientate the hydrodynamics and distribution of materials on the ground, producing flattened and/or lowered geomorphic surfaces given the evolutionary characteristics from climatic, morphogenetic and pedogenetic factors. This work aims to demonstrate the compartmentalization and association of geomorphic surfaces covered by ferruginous duricrusts in Savannah areas in Brazil according to a relief dissection matrix. This matrix indicates the vertical cutting of the valleys and the interfluvial horizontal dimension of the hills through landform measurements in radar images, classification in alphanumeric codes and statistical correlations. The results indicated details in the compartmentalization of the surface according to the landform roughness, making it possible to link, through data from the dissection matrix and the statistical correlation, the association between the compartments according to summit positions and remaining depressed areas. Despite the fact that more robust measurements obtained from high-precision mappings can point out further landform evolutionary stages, it is understood that a dissection matrix and its statistical correlations can not only compartmentalize the landscape and provide an initial overview of the landscape’s evolution, but also indicate geomorphic surfaces that could have been worked at the same time. In this sense, the recognition of geomorphic surfaces, occurrence of duricrusts and landforms in this work allowed a certain morphogenetic correspondence that can contribute to geomorphological studies, although the results must be observed with caution when verified from the tropical perspective of relief evolution. Keywords: Valley Cutting; Interfluvial Dimension; Dissection Matrix; Geomorphic Surfaces; Duricrusts
Wind Tunnel Testing with a Vertical Stabilizer Common Research Model
in Ground Icing Conditions
Authors: Ruggi Marco , Clark Catherine
Published: October 2024

As part of a larger research program on behalf of Transport Canada and the
Federal Aviation Administration, APS Aviation Inc. conducted a series of
representative scaled tests in the National Research Council Canada 3 m × 6 m
Icing Wind Tunnel evaluating contaminated fluid flow-off from a common research
model vertical stabilizer. The goal of this work is to help understand the
impact of de/anti-icing fluids with and without precipitation on the performance
of vertical surfaces, using existing allowance times that were developed for
horizontal surfaces to guide the test exposure times. The data include a
qualitative analysis of the appearance of the surfaces and a quantitative
evaluation using aerodynamic data from an external balance and manual
measurements of the fluid thicknesses on the model surface. The model was
evaluated in a clean and dry configuration to establish the baseline aerodynamic
performance, with sandpaper roughness testing used to as a substitute for fluids
in order to investigate model performance in a static manner. Tests with
de/anti- fluids and precipitation, including snow, ice pellets, and freezing
rain, were conducted in both static and dynamic takeoff simulations to determine
the impact of the fluids and precipitation on the model performance. In general,
fluid, fluid and contamination, and roughness testing all had comparable side
force losses; however, the worst-case conditions may not have been explored yet
as testing was generally limited to warmer temperatures above −10°C. As a
proof-of-concept, laser scanning of the model with ice contamination was
successfully completed for both pre- and post-simulated takeoff conditions.
Evolución de la hidatidosis en España desde 2015 hasta 2023
Authors: Rodríguez-Campelo Dan , Guerras Juan Miguel , Fernández-Martínez Beatriz , Herrador-Ortiz Zaida , Estévez-Reboredo Rosa Mª
Published: October 2024

Introducción: la hidatidosis es una zoonosis de diagnóstico normalmente tardío y/o casual provocada por parásitos del género Echinococcus. La tasa de notificación en España ha ido disminuyendo desde que fue incluida como enfermedad de declaración obligatoria. El objetivo de este trabajo es describir la situación y evolución de la hidatidosis humana en España desde 2015 hasta 2023.
Método: se realizó un análisis descriptivo de los casos de hidatidosis notificados a la Red Nacional de Vigilancia Epidemiológica (RENAVE) desde 2015, con especial hincapié en el año 2023. Se analizaron variables como edad, sexo, comunidad autónoma de residencia y exposición. Se calcularon frecuencias, porcentajes, tasas de notificación y se realizaron mapas.
Resultados: entre 2015-2023, se notificaron 710 casos de hidatidosis autóctonos, con un dato máximo en 2015 (154 casos) y disminución hasta 2019, seguida de un ligero aumento en 2021. En 2023, se notificaron 71 casos autóctonos de los cuales un 39,4% estuvieron hospitalizados, aunque no se registró ningún fallecimiento. En el 2023 las tasas de notificación más altas se observaron en Extremadura, La Rioja y Región Foral de Navarra, mientras que las más bajas correspondieron a la Comunidad Valenciana, País Vasco y Cataluña.
Discusión la disminución en la notificación, seguida por un repunte sugiere la efectividad de las medidas de control pero, también indica desafíos persistentes. La presencia de casos importados y la variabilidad regional implican factores socioeconómicos, culturales o ambientales que deben considerarse en las estrategias de control y prevención.
Ответственность аутсорсинговой компании за вред, причиненный ее работником
Authors: О.С. Мухтарова
Published: October 2024

СТАТЬЯ ПОСВЯЩЕНА ВОПРОСАМ ОТВЕТСТВЕННОСТИ АУТСОРСИНГОВЫХ КОМПАНИЙ ЗА ВРЕД, ПРИЧИНЯЕМЫЙ ИХ РАБОТНИКАМИ. В ИССЛЕДОВАНИИ ДАЕТСЯ ОПРЕДЕЛЕНИЕ АУТСОРСИНГА И АУТСОРСИНГОВОГО ДОГОВОРА, ОТМЕЧАЮТСЯ РАЗЛИЧИЯ МЕЖДУ АУТСОРСИНГОМ И АУТСТАФФИНГОМ, ПРИВОДЯТСЯ ПРИМЕРЫ ИЗ ПРАКТИКИ АРБИТРАЖНЫХ СУДОВ, В КОТОРЫХ АУТСОРСИНГОВЫЕ КОМПАНИИ ВЫСТУПАЮТ В РОЛИ ТРЕТЬИХ ЛИЦ, А ТАКЖЕ ОТВЕТЧИКОВ, МЕНЯЯ СВОЙ ПРОЦЕССУАЛЬНЫЙ СТАТУС ПО ХОДУ РАССМОТРЕНИЯ ДЕЛА. В ЗАКЛЮЧЕНИИ ОБОСНОВЫВАЕТСЯ НЕОБХОДИМОСТЬ НОРМАТИВНОГО УСТАНОВЛЕНИЯ ПОНЯТИЙ АУТСОРСИНГА И АУТСТАФФИНГА В ГРАЖДАНСКОМ КОДЕКСЕ РФ, А ТАКЖЕ ВВЕДЕНИЯ ОБЯЗАТЕЛЬНОЙ ПУБЛИКАЦИИ СВЕДЕНИЙ О ЗАКЛЮЧЕНИИ АУТСОРСИНГОВЫХ СОГЛАШЕНИЙ.
Дробление неустойки — право или злоупотребление?
Authors: Ю.С. Таранец , Н.В. Сайгушев
Published: October 2024

ДЕЙСТВУЮЩЕЕ ПРОЦЕССУАЛЬНОЕ ЗАКОНОДАТЕЛЬСТВО НЕ СОДЕРЖИТ ОГРАНИЧЕНИЙ В ИСПОЛЬЗОВАНИИ МЕТОДОВ СУДЕБНОЙ ЗАЩИТЫ НАРУШЕННЫХ ПРАВ, В СВЯЗИ С ЧЕМ ВОПРОС О ПРОЦЕССУАЛЬНОЙ ДОБРОСОВЕСТНОСТИ ИСТЦА В ИЗБРАНИИ СПОСОБА ЗАЩИТЫ НЕ ТЕРЯЕТ АКТУАЛЬНОСТИ. НАСТОЯЩЕЕ ИССЛЕДОВАНИЕ ПОСВЯЩЕНО ПРОБЛЕМЕ ДОБРОСОВЕСТНОСТИ УЧАСТНИКОВ ГРАЖДАНСКОГО ОБОРОТА ПРИ ЗАЯВЛЕНИИ ТРЕБОВАНИЙ О ВЗЫСКАНИИ НЕУСТОЙКИ, НАЧИСЛЕННОЙ НА СУММУ ЗАДОЛЖЕННОСТИ ЗА РАЗНЫЕ ПЕРИОДЫ.
Отдельные вопросы корпоративного права (обзор судебной арбитражной практики)
Authors: Д.Н. Латыпов
Published: October 2024

В СТАТЬЕ ИССЛЕДУЮТСЯ НАИБОЛЕЕ ОСТРЫЕ ВОПРОСЫ, ВОЗНИКАЮЩИЕ СЕГОДНЯ ПРИ РАССМОТРЕНИИ КОРПОРАТИВНЫХ СПОРОВ. ПРОВЕДЕН АНАЛИЗ ИМЕЮЩЕЙСЯ СУДЕБНОЙ ПРАКТИКИ ОТНОСИТЕЛЬНО ПРИМЕНЕНИЯ ПОНИЖАЮЩИХ (ПОВЫШАЮЩИХ) КОЭФФИЦИЕНТОВ ПРИ ОПРЕДЕЛЕНИИ ДЕЙСТВИТЕЛЬНОЙ СТОИМОСТИ ДОЛИ УЧАСТНИКА ОБЩЕСТВА С ОГРАНИЧЕННОЙ ОТВЕТСТВЕННОСТЬЮ; МОМЕНТА СОВЕРШЕНИЯ СДЕЛКИ, НАПРАВЛЕННОЙ НА ОТЧУЖДЕНИЕ ДОЛИ; ОСОБЕННОСТЕЙ УЧАСТИЯ В УПРАВЛЕНИИ ОБЩЕСТВОМ УЧАСТНИКА, В ОТНОШЕНИИ КОТОРОГО ИЗБРАНА МЕРА УГОЛОВНО-ПРАВОВОГО ПРИНУЖДЕНИЯ; ПРАВА УЧАСТНИКА ОБЩЕСТВА, ПЕРЕД КОТОРЫМ У ОБЩЕСТВА ИМЕЕТСЯ ЗАДОЛЖЕННОСТЬ ПО ВЫПЛАТЕ ДЕЙСТВИТЕЛЬНОЙ СТОИМОСТИ ДОЛИ, ИНИЦИИРОВАТЬ ПРОЦЕДУРУ БАНКРОТСТВА ОБЩЕСТВА. ПРОИЛЛЮСТРИРОВАНЫ РАЗЛИЧНЫЕ ПОЗИЦИИ ПРАВОПРИМЕНИТЕЛЕЙ ПО СПОРНЫМ ВОПРОСАМ. ПО ИТОГАМ АНАЛИЗА СФОРМУЛИРОВАНЫ АРГУМЕНТИРОВАННЫЕ ПРЕДЛОЖЕНИЯ ПО УСТАНОВЛЕНИЮ ЕДИНООБРАЗНОГО ПОДХОДА.
Проблемы общей превенции и возмещения вреда в деликтном праве
Authors: Р.Р. Лугманов
Published: October 2024

АВТОР АКЦЕНТИРУЕТ ВНИМАНИЕ НА КЛАССИЧЕСКИХ ФУНКЦИЯХ ДЕЛИКТНОГО ПРАВА. НА КОНКРЕТНЫХ ПРИМЕРАХ ВЫСКАЗЫВАЕТСЯ СОМНЕНИЕ В ТОМ, ЧТО КОМПЕНСАЦИОННАЯ ФУНКЦИЯ ДЕЛИКТНОГО ПРАВА, А ТАКЖЕ ПРЯМО СВЯЗАННАЯ С НЕЙ ФУНКЦИЯ СДЕРЖИВАНИЯ БЕЗУПРЕЧНО РАБОТАЮТ. АВТОР СЧИТАЕТ, ЧТО УЖЕ В САМОМ МЕХАНИЗМЕ ВОЗМЕЩЕНИЯ ВРЕДА КОНЦЕПТУАЛЬНО ЗАЛОЖЕНЫ ПРЕДПОСЫЛКИ СРЕДНЕСТАТИСТИЧЕСКОЙ НЕДОКОМПЕНСАЦИИ ПОТЕРЬ ПОТЕРПЕВШЕГО, ЧТО ТАКЖЕ ОКАЗЫВАЕТ ДЕСТИМУЛИРУЮЩЕЕ ВОЗДЕЙСТВИЕ И НА БУДУЩИХ ПРИЧИНИТЕЛЕЙ ВРЕДА, РАЦИОНАЛЬНО ОЦЕНИВАЮЩИХ ВЕРОЯТНОСТИ РАЗВИТИЯ ТЕХ ИЛИ ИНЫХ СОБЫТИЙ. В РАБОТЕ ТАКЖЕ СТАВИТСЯ ПОД СОМНЕНИЕ ИДЕЯ ПРИВЛЕЧЕНИЯ К ОТВЕТСТВЕННОСТИ ЗА ПРАВОНАРУШЕНИЕ В СИТУАЦИИ, КОГДА ПРИЧИНИТЕЛЬ ВРЕДА ПОТРЕБЛЯЕТ ЧУЖОЕ БЛАГО (ИЗВЛЕКАЕТ ПОЛЕЗНЫЕ СВОЙСТВА) НЕРЫНОЧНЫМ ПУТЕМ. ПРОВОДЯТСЯ ПАРАЛЛЕЛИ МЕЖДУ ТРЕБОВАНИЕМ О ВОЗМЕЩЕНИИ ВРЕДА И ОБЫЧНЫМ ДОГОВОРНЫМ ТРЕБОВАНИЕМ ОБ УПЛАТЕ ПОКУПНОЙ ЦЕНЫ, ЧТО ЯВНО ПОДСВЕЧИВАЕТ КВАЗИМЕНОВОЙ ХАРАКТЕР ПРИВЛЕЧЕНИЯ К ОТВЕТСТВЕННОСТИ В УКАЗАННОМ СЛУЧАЕ И ОТСУТСТВИЕ РЕАЛЬНО НЕГАТИВНЫХ ПОСЛЕДСТВИЙ ДЛЯ ДЕЛИНКВЕНТА.
Departure Delay of a Semi Container Passenger Ship: A Case Study in KM Nggapulu
Authors: Cassaluna Vennera , Arifin Moh. Zaenal , Sari Ria Hermina
Published: October 2024

Departure schedule is an important thing to be considered by the companies and ship crews providing passenger ship. KM Nggapulu experienced a delay in departure at Fak-Fak Port on January 26, 2023. This raised complaints from passengers due to their inconvenience. This study aims to analyze the problem of departure delay of KM Nggapulu by identifying the factors and impacts of the delays, as well as actions to prevent delays in passenger ship. Qualitative method using fishbone analysis was applied in this research. Data were collected through observation, interviews, documentation studies, and literature studies. To test the validity of the data, researchers used triangulation. The research found that the delay in departure of KM Nggapulu is due to the late loading of containers. This occurred due to the negligence of the container loading and unloading party and the lack of coordination between PT SBN, the owner of the goods (shipper), and the ship’s crew. The delay of containers loading resulted in the ship's delayed departure for 5 (five) hours and caused complaints from passengers. Optimizing coordination between related parties, increasing manpower, and optimizing loading and unloading facilities at the port were the actions taken to prevent the delay.
El imperialismo según el enfoque de Economía Política Internacional de Leonard Woolf
Authors:   Universidad del Mar, Aquino Soriano Ezequiel
Published: October 2024

Al hablar de los orígenes de la Economía Política Internacional (EPI), se menciona de forma tradicional que surge en la década de 1970, bajo el supuesto de que las cuestiones económicas eran ignoradas por los internacionalistas de esa época. Este artículo busca desmentir dicha suposición a través del caso de Leonard Woolf. Mediante un estudio historiográfico revisionista de los escritos sobre el imperialismo de Woolf, se demuestra que lo que se experimentó fue una reactivación de un campo de estudio que ya estaba presente al menos desde el comienzo del siglo XX. También, se establecen las bases para futuras investigaciones sobre algún otro intelectual de principios del siglo XX, trayendo consigo una narrativa alterna al hablar de la EPI como una subdisciplina de Relaciones Internacionales.
Ernesto Laclau y las Relaciones Internacionales: del desencuentro hacia una teoría Posmarxista de la Política Global
Authors:   Instituto de Investigaciones Gino Germani (FSOC-UBA)), Frieiro Leonardo
Published: October 2024

La obra de Ernesto Laclau se ha mantenido en buena medida ajena a la disciplina de las Relaciones Internacionales. Las razones de este desencuentro son varias, pero no deberían ser perpetuas. La actualidad de las transformaciones globales del capitalismo nos invita a explorar los vínculos posibles entre la teoría posmarxista y los estudios internacionales. En el presente artículo nos proponemos: primero, explorar las razones de este desencuentro; segundo, repasar algunas recepciones parciales de Laclau dentro de los estudios internacionales; tercero, presentar la noción de hegemonía en lo largo del itinerario intelectual de Ernesto Laclau; y, cuarto, proponer una serie de dimensiones para una agenda de investigación futura, que busque trasladar los elementos de la teoría de Laclau al campo de las Relaciones Internacionales.
Francisco Toledo Em Uma Coreografia Do Sensível
Authors:   IPN, de Moraes Vanessa Daniele
Published: October 2024

O artista mexicano Francisco Toledo (1940 – 2019) teve seu reconhecimento em diversos países da Europa e Estados Unidos, mas ficou praticamente desconhecido no Brasil e em outros países da América Latina. Com um perfil de ativista social, cultural e ambiental, a atuação de Toledo pode ser compreendida em consonância ao conceito de “partilha do sensível”, elaborado pelo filósofo francês Jacques Rancière, situando o artista no espaço do comum. Além disso, o artigo pretende traçar a trajetória “artivista” de Toledo a partir da noção descrita pelo antropólogo Paulo Raposo.
Alfonso Reyes y el Jardín Botánico de Río de Janeiro: Laranjeiras, estatuas y plantas como estrategia de diplomacia cultural
Authors:   Universidad Autónoma de Nuevo León, Martinez Martinez Mayra Jocelin
Published: October 2024

Como embajador de México en Brasil entre 1930 y 1936, Alfonso Reyes desplegó una actividad diplomática notable que ha sido estudiada desde distintos ángulos políticos. Sin embargo, sabemos menos de otras estrategias, especialmente de diplomacia cultural, empleadas por el escritor mexicano. En este artículo muestro cómo durante su residencia en Rio de Janeiro, Reyes empleó elementos representativos de la naturaleza mexicana, tales como la amapola silvestre (Papaver rhoeas) y el peyote (Lophophora williamsii), o la donación de la estatua del dios Xochipilli al jardín botánico de esa ciudad, para fomentar el acercamiento entre ambas naciones. En tres fases, este artículo propone primero revisar la historia de la relación diplomática entre México y Brasil antes de la llegada de Reyes; posteriormente, mostrar su interés en la naturaleza como elemento formativo de ambas naciones, y finalmente, analizar sus estrategias para utilizar ese conocimiento mediante la diplomacia cultural.
Aligning Curriculum with SMART Learning Goals for Effective Lesson Planning
Authors: Li Yang
Published: October 2024

This chapter explains the importance and process of writing SMART objectives for lesson planning. SMART objectives are Specific, Measurable, Achievable, Relevant, and Time-bound statements that describe what students can do at the end of the lesson. The chapter also discusses how to align objectives with standards and curricula and how to communicate objectives to students. This chapter provides examples and tips for teachers to apply these principles and strategies in their own teaching contexts. The chapter also addresses the challenges and limitations of objective-driven education and how to balance it with a more holistic and flexible approach that considers students’ backgrounds, interests, skills, and learning styles.
Choosing Appropriate Instructional Methods for Adapting to Student Diversity in the Classroom
Authors: Li Yang
Published: October 2024

This chapter discusses how to select appropriate methods for your objectives and content, how to balance direct and indirect instruction, and how to incorporate different learning styles and modalities into lesson planning. It provides examples of various teaching methods such as direct instruction, inquiry-based learning, cooperative learning, project-based learning, and flipped learning, and explains their advantages and disadvantages. It also suggests ways to vary your methods to meet the diverse needs of your students, such as using visual, auditory, and kinesthetic aids or providing differentiation and scaffolding. The chapter concludes with recommendations for practicing teachers on how to choose and implement effective teaching methods in their classrooms.
Forecasting Classroom Challenges to Plan for Contingency and Flexibility
Authors: Li Yang
Published: October 2024

In this chapter, we discuss how to identify potential problems and pitfalls in your lesson plan, how to plan for differentiation and scaffolding, and how to plan for contingency and flexibility. These are important skills for any teacher as they can help cope with the uncertainties and complexities of the classroom environment. By anticipating these challenges, you can prepare yourself and your students for a successful and meaningful learning experience.
Comparison of Machine Learning Algorithms in Public Sentiment Analysis of TAPERA Policy
Authors: Sihombing Eklesia , Halmi Dar Muhammad , Aini Nasution Fitri
Published: October 2024

The rapid development of information technology has changed the way people interact and express their opinions on public policies, including the People's Housing Savings (Tapera) policy in Indonesia. People now primarily express their views openly on social media platforms like Twitter, generating a substantial amount of text data for analysis to understand public sentiment. However, the main challenge in this sentiment analysis is determining the most effective machine learning algorithm for classifying public opinion with high accuracy. This study aims to compare the performance of three machine learning algorithms, namely Naïve Bayes, Support Vector Machine, and Random Forest, in analyzing public sentiment towards the Tapera policy. This study analyzes public comment data obtained from Twitter. We measure the accuracy of each algorithm to determine its optimal performance in sentiment classification. The research method consists of several stages, starting with data collection, text preprocessing to clean and prepare data, and then applying the three algorithms to analyze sentiment. The results showed that Naïve Bayes had the highest accuracy of 69.17%, followed by Support Vector Machine with an accuracy of 68.42%, and Random Forest with an accuracy of 66.17%. This shows that Naïve Bayes is the most effective algorithm to use in sentiment analysis of public comments related to the Tapera policy, especially in the context of complex text data from social media. The conclusion of this study is that Naïve Bayes is superior in classifying public sentiment towards the Tapera policy compared to Support Vector Machine and Random Forest. As a result, this study makes a significant contribution to selecting the most appropriate machine learning algorithm for public sentiment analysis towards public policy, which in turn can help the government understand and respond to public perceptions more effectively.