bluuebunny/crossref_metadata_2025 huggingface dataset:
Distribución de nacimientos por edad gestacional y grupo etario materno: un estudio sobre la prematuridad y su grado.
Authors: Rojas Mármol Jenny Cintia , Pinto Velásquez Gloria Mavel , Mamani Rosas Ana Maria
Published: December 2024

Introducción: Los nacimientos prematuros, que afectan al 11% de los nacimientos a nivel mundial, representan un desafío significativo para la salud pública debido a los riesgos asociados. La edad materna es un factor determinante, con adolescentes y mujeres mayores en mayor riesgo de prematuridad. Este estudio analiza la distribución de nacimientos según la edad gestacional y materna en Bolivia, identificando patrones locales y diferencias entre grupos etarios. Metodología: Se llevó a cabo un estudio observacional, retrospectivo y transversal basado en 58,098 certificados de nacidos vivos registrados entre 2022 y 2023, excluyendo datos incompletos. Se analizaron variables como la edad gestacional (prematuro, a término, postérmino), el grado de prematuridad (extremo, muy prematuro, moderado/tardío) y la edad materna (adolescente, reproductiva, avanzada). El análisis estadístico incluyó la prueba de chi-cuadrado y se realizó con el software SPSS, identificando diferencias significativas en la tasa de prematuridad entre grupos. Resultados:Del total de nacimientos analizados, el 6.3% fueron prematuros, el 93.6% a término y el 0.1% postérmino. Entre los prematuros, el 3.6% fueron extremos, el 7.7% muy prematuros y el 88.7% moderados o tardíos. La prueba chi-cuadrado (χ²: 81.41; p < 0.001) mostró diferencias significativas en la prematuridad según la edad materna, resaltando el mayor riesgo en adolescentes y mujeres mayores. Discusión: Los resultados subrayan la relación entre la edad materna y la prematuridad. Adolescentes y mujeres mayores enfrentan un mayor riesgo, asociado a complicaciones y desigualdades en el acceso a cuidados prenatales. Estos hallazgos enfatizan la importancia de políticas preventivas dirigidas a estos grupos, mejorando la atención prenatal para reducir riesgos y optimizar los resultados perinatales.
HUBUNGAN ANTARA KUALITAS TIDUR DENGAN KECERDASANEMOSIONAL PADA SISWA KELAS XI SMA NEGERI 1 SAMPANG KABUPATEN CILACAP
Authors: Nurhanna Afrisca Putri Husada  , Nur’aeni  , Rr. Setyawati  , Gisella Arnis Grafiyana
Published: December 2024

Permasalahan yang dialami oleh siswa SMA Negeri 1 Sampang Cilacap berkaitan dengan kualitas tidur dan kecerdasan emosional saat melaksanakan tugas sekolah akademik maupun non-akademik dan karakter siswa yang masih rendah. Penjelasan tersebut dapat ditarik kesimpulan perilaku yang dimaksud yaitu seperti mudah marah, tidak nyaman secara psikologi atau dapat dikatakan siswa memiliki stress emosional. Kualitas tidur yang buruk akan mempengaruhi proses pembelajaran dan emosional siswa ketika di sekolah. Penelitian ini  bertujuan untuk menguji hubungan antara kualitas tidur dengan kecerdasan emosional pada siswa kelas XI SMA Negeri 1 Sampang Kabupaten Cilacap. Penelitian ini menggunakan teknik pengambilan sampel simple random sampling pada 181 siswa kelas XI. Alat ukur yang digunakan yaitu skala kecerdasan emosional dan skala kualitas tidur. Pada skala kualitas tidur diperoleh reliabilitas 0,700 dan pada skala kecerdasan emosional diperoleh reliabilitas 0,784. Terdapat hubungan yang signifikan antara kualitas tidur dengan kecerdasan emosional pada siswa kelas XI SMA Negeri 1 Sampang dengan nilai signifikasi 0,001 < 0,05. Maka dapat dikatakan bahwa ada korelasi antara kualitas tidur dengan kecerdasan emosional pada siswa kelas XI SMA Negeri 1 Sampang.
The students at SMA Negeri 1 Sampang, Cilacap, face issues related to sleep quality and emotional intelligence, which affect their performance in academic and non-academic tasks as well as their overall character development. These issues manifest in behaviors such as irritability, psychological discomfort, and emotional stress. Poor sleep quality negatively impacts the learning process and students' emotional well-being at school. This study aims to examine the relationship between sleep quality and emotional intelligence among 11th-grade students at SMA Negeri 1 Sampang, Cilacap Regency. The study employed a simple random sampling technique, involving 181 11th-grade students. The instruments used were the Emotional Intelligence Scale and the Sleep Quality Scale, with reliability coefficients of 0.700 and 0.784, respectively. The results showed a significant relationship between sleep quality and emotional intelligence among 11th-grade students at SMA Negeri 1 Sampang, with a significance value of 0.001 0.05. Thus, it can be concluded that there is a correlation between sleep quality and emotional intelligence among 11th-grade students at SMA Negeri 1 Sampang.
ECONOMIC AND MATHEMATICAL MODEL OF EFFECTIVE FISHERIES MANAGEMENT
Authors:   Moscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow Region, Russia, Chernyaev Alexander P. , Sukhorukova Irina V. ,   Plekhanov Russian University of Economics, Moscow, Russia, Meerson Alla U. ,   Plekhanov Russian University of Economics, Moscow, Russia
Published: December 2024

One of the most pressing problems of sustainable development of territories is the management of the number and composition of populations. Populations are characterized by certain interrelated quantitative and qualitative characteristics, so they form the basis of evolutionary development. Self-organization mechanisms possessed by individual individuals contribute to the continuous reproduction of the numerical composition of populations and optimization of their distribution in the natural environment. In this regard, the economic problem of managing the dynamic composition of a population is extremely important and promising for research. The use of mathematical methods of study and the construction of economic and mathematical models improves the accuracy of forecast parameters. The article presents mathematical considerations leading to a biomechanical model of a single population subject to fishing, based on differential equations of dynamic balance. These equations are onedimensional and have a visual biomechanical interpretation. Based on these equations, economic conditions for the effective management of this industry were found and studied.
ENSURING TECHNOLOGICAL SOVEREIGNTY IN MODERN RUSSIA
Authors:   O.E. Kutafin Moscow State Law University (MSAL), Moscow, Russia, Chkhutiashvili Lela V. , Chkhutiashvili Nana V. ,   O.E. Kutafin Moscow State Law University (MSAL), Moscow, Russia
Published: December 2024

The authors analyze the problem of ensuring technological sovereignty in modern Russia through advanced training and professionalism of personnel, lean manufacturing, the introduction of new equipment and technology at the enterprise, and the rational use of internal resources. With the introduction of advanced technologies, it is necessary to reform the scientific organization of labor, and create long-term plans, which in general will ensure sustainable economic growth. Active interaction with scientists to quickly consolidate a particular technology in domestic production will allow you not to limit investments in R&D, create an accurate way to determine the share of imports, as well as ensure the ratio of the number of personnel to the structural indicators of their professional training.
MODELING THE LEVEL OF INSOLVENCY OF REGIONS BASED ON THE RISKPRONENESS ASSESSMENT ALGORITHM
Authors:   Postgraduate Student, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, Stanin Alexander A. , Mityazov Vitaliy A. ,   Master’s Student, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, Sorokin Victor I. ,   Master’s Student, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, Konnikov Evgeny A. ,   Candidate of Economic Sciences, Associate Professor, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia
Published: December 2024

This paper presents a conceptual model for predicting and managing different types of regional risks. The model is based on an algorithm that independently constructs a conceptual framework and classifies objects using logistic regression. It allows the assessment of regional risks, taking into account economic, infrastructural, demographic, health, cultural and environmental aspects. The key advantage of the model is its ability to identify and analyze the interrelationships between components, which makes it possible not only to predict risk specifics, but also to understand the patterns of development of different types of risks in regions. To overcome the conceptual complexity of the model, the authors used evolutionary algorithms that iteratively improve the models by applying mutation and crossing operations. The practical significance of the model is that it can provide authorities and local governments with an effective tool for managing regional risks. Understanding the patterns of risk development and their spatial characteristics is critical for making informed decisions and developing risk mitigation strategies. The potential of the presented algorithm in solving the problems of regional development and risk management is a significant and promising area for further research and practical application.
RESULTS OF COMPUTATIONAL EXPERIMENTS ON THE USE OF A CONTROL SUPERSTRUCTURE BASED ON ARTIFICIAL NEURAL NETWORKS OF THE RNN CLASS AND THE «RANDOM FOREST» ALGORITHM IN CONTROLLING A GENETIC ALGORITHM IN THE PROCESS OF FINDING SOLUTIONS
Authors:   Candidate of Technical Sciences, Associate Professor, Head of the Department of Information Technologies, Financial University under the Government of the Russian Federation, Moscow, Russia, Petrosov David A.
Published: December 2024

This article substantiates the hypothesis about the possibility of influencing the state of the population of a genetic algorithm (GA) in the process of finding solutions by changing the destructive ability of operators. A number of computational experiments were conducted based on GA models, an artificial neural network (ANN) of the RNN class, and the random forest algorithm obtained using SP in the problem of structural-parametric synthesis of simulation models of business processes based on a given behavior, i.e. the ability of the model to transform a given input vector into a reference output vector. To conduct the computational experiment, the conditions of the structural-parametric synthesis were set and the computers were determined as CPU and CPU + GPGPU. The article considers three models: a GA model without a control superstructure, a GA model and a control superstructure in the form of an ANN of the RNN class, a GA model and a control superstructure in the form of the random forest algorithm. The time required for the evolutionary procedure to process 1000 generations of the population or to find a model that meets the search criteria, the number of solutions found, and the number of interventions of the control add-on into the GA operation were considered as the main performance indicators of the GA. The proposed hypothesis was confirmed based on the results of computational experiments. A comparative analysis of the efficiency of using the ANN and the random forest algorithm was conducted based on the qualitative indicator – the number of solutions found, time costs, and the number of interventions into the GA operation. In accordance with this analysis, an assumption was made that the operation of the GA in conjunction with the control add-on in the form of an ANN is more universal in terms of the number of solutions found, and the random forest algorithm outperforms the GA + ANS combination in terms of performance. Based on this, it is proposed to use both designs when working with big data or in resource-intensive tasks, depending on the characteristics of the subject areas.
FORECASTING THE PROBABILITY OF DEFAULT OF RUSSIAN ISSUING COMPANIES IN UP TO FROM THE CBONDS CBI RU HIGH YIELD INDEX BASED ON COLLECTIVE MACHINE LEARNING METHODS
Authors:   Student, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, Pospelova Alexandra S. , Zaitsev Andrey A. ,   Doctor of Science (Economic), Professor, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, Makarova Yulia N. ,   Applicant for a Degree, Peter the Great St. Petersburg Polytechnic University, St. Petersburg, Russia, Alkin Kirill A. ,   Specialist, OKB «LEMZ» Scientific and Production Center for Radar Surveillance and Automation of Information Processing, St. Petersburg, Russia
Published: December 2024

In this scientific work, a detailed analysis of ensemble machine learning methods is carried out to assess the probability of bankruptcy of enterprises. The research focuses on the use of approaches such as Random Forest, Gradient Boosted Trees and Tree Ensemble, which can significantly improve the accuracy of predicting financial insolvency. The effective application of these methods provides investors with a powerful tool for assessing the stability of companies, improving their ability to make informed investment decisions. The implementation of such integrated technologies contributes to improving the stability of financial markets, providing investors with additional opportunities to minimize risks.
APPLICATION OF ADAPTIVE NEUROFUZZY INFERENCE SYSTEMS AND EXPLANATORY ARTIFICIAL INTELLIGENCE FOR MONITORING SOIL POLLUTION AND ASSESSING RISKS TO PUBLIC HEALTH IN THE CITY OF DUBNA
Authors:   Candidate of Physical and Mathematical Sciences, Associate Professor, Dubna State University, Dubna, Moscow Region, Russia, Averkin Alexey N. , Trofimov Yuri V. ,   Postgraduate Student, Dubna State University, Dubna, Moscow Region, Russia
Published: December 2024

The article examines the application of explainable artificial intelligence (XAI) principles and the ANFIS neuro-fuzzy system to improve the quality of soil contamination monitoring and health risk assessment in the city of Dubna. The results showed that the use of XAI and modern artificial intelligence tools, such as ANFIS, provides reliable and interpretable data for managing environmental safety and assessing health risks in the city.
ANALYSIS OF CHANGES IN THE STRUCTURE OF THE PDLMARKET IN RUSSIA IN 2019–2023 BASED ON MULTIVARIATE STATISTICAL ANALYSIS
Authors:   Ph.D., Associate Professor of the Department of Mathematical Methods in Economics, Plekhanov Russian University of Economics, Moscow, Russia, Sorokin Alexander S.
Published: December 2024

The article presents the results of a study of development trends in the Russian microfinance market by analyzing changes in the structure of one of its segments – the PDL-market. The study period covers a five-year interval – from 2019 to 2023. For the study, one of the methods of multivariate statistical analysis is used, which allows dividing the studied companies in the Russian PDL loan market into clusters. The purpose of the analysis is to determine the change in the composition of clusters of microfinance organizations in the PDL-segment (mainly online and offline) in five-year dynamics depending on the deterioration of risk metrics of the loan portfolio and the need for competent credit risk management. The object of the study is MFIs specializing in issuing PDL loans and included in the top-20 market leaders, with valid data on all selected indicators that adequately reflect the main trends in the market. To conduct the analysis, statistical data were taken on absolute indicators of the PDL portfolio, characterizing the scale and quality of the MFI loan portfolio: the size of the PDL portfolio on the corresponding date, the size of the PDL portfolio without NPL90+ on the corresponding date, the volume of PDL issued for the analyzed period, as well as relative ones – the growth rates of the corresponding indicators for the analyzed period. The results of the study allowed us to conclude that the structure of the obtained main components is stable, which were designated as the MFI scale factor and the MFI growth dynamics factor due to high-quality credit risk management. Based on the results of the cluster analysis, the PDL loan market structure was divided into 2-3 segments depending on the year. The proposed methodology for constructing aggregated indicators for clustering is valid, since the data obtained indicates the stability of the component analysis results over time. The cluster analysis method adequately reflects all market changes in the PDL loans – the composition of the clusters’ changes depending on the scale of the MFI and the dynamics of its growth due to the quality of loan portfolio management.
Military order as a legal form of operation of organizational units military administration in the sphere of internal organization
Authors: Wasilewski Krystian
Published: December 2024

Objectives

examine the legal basis on which managerial acts, such as orders, may be issued and the extent to which they may regulate the conduct of employees. In practice, the Act on Homeland Defense raises doubts regarding the scope of introducing orders towards employees who are not soldiers. The fundamental problem is to determine whether the issuance of such acts falls within the scope of the powers of the managing entity, and how such acts may affect the rights and obligations of employees.

Methods

dogmatic-legal method

Results

It should be considered whether, in terms of the internal organization of organizational units of the minister and military units, provisions should be introduced in the Homeland Defense Act that would enable such a unit to be granted a statute or organizational regulations. Regulations issued under the Act should cover not only external issues, such as headquarters or territorial scope of operation, but also the detailed internal organization of these units.

Conclusions

Alternatively, the Act should provide for the Minister of National Defense to grant the unit a statute and the head of the unit to establish organizational regulations by way of an ordinance. The introduction of such a solution would provide subordinated entities with a clear basis, eliminating the need to rely on regulations introduced by way of orders, which could be questioned as to compliance with this form of action - an order.
HUBUNGAN ANTARA ORGANIZATIONAL SILENCE DAN KOMITMEN PUSTAKAWAN DI PERGURUAN TINGGI KEAGAMAAN ISLAM NEGERI DI SUMATERA BARAT
Authors: Amiruddin Amiruddin , Yasirli Amrina , Yass Andria
Published: December 2024

(Objectives) This study explores the relationship between organizational silence and librarians' commitment in Islamic State Higher Education Institutions (PTKIN) in West Sumatra. Organizational silence refers to a condition in which employees withhold opinions or information for various reasons, which can negatively impact organizational effectiveness. This phenomenon is often driven by fear of negative feedback, lack of support, and an organizational culture that does not encourage open communication. (Method) A quantitative approach was used, involving librarians from three PTKIN institutions in West Sumatra as respondents. (Findings) The analysis results indicate a significant negative relationship between organizational silence and librarians' commitment. These findings highlight the importance of creating a work environment that supports open communication and values librarians’ contributions. Recommendations for reducing organizational silence include developing an open communication culture, enhancing trust among organization members, and implementing a fair reward system.
ABSTRAK
Penelitian ini mengeksplorasi hubungan antara kesunyian organisasi dan komitmen pustakawan di Perguruan Tinggi Islam Negeri (PTKIN) Sumatera Barat. Kesunyian organisasi mengacu pada kondisi di mana karyawan menahan pendapat atau informasi karena berbagai alasan, yang dapat berdampak negatif pada efektivitas organisasi. Fenomena ini sering didorong oleh rasa takut akan umpan balik negatif, kurangnya dukungan, dan budaya organisasi yang tidak mendorong komunikasi terbuka. Pendekatan kuantitatif digunakan, dengan melibatkan pustakawan dari tiga lembaga PTKIN di Sumatera Barat sebagai responden. Hasil analisis menunjukkan hubungan negatif yang signifikan antara kesunyian organisasi dan komitmen pustakawan. Temuan ini menyoroti pentingnya menciptakan lingkungan kerja yang mendukung komunikasi terbuka dan menghargai kontribusi pustakawan. Rekomendasi untuk mengurangi kesunyian organisasi meliputi pengembangan budaya komunikasi terbuka, meningkatkan kepercayaan di antara anggota organisasi, dan menerapkan sistem penghargaan yang adil.
Zur Rhetorik von Bann und Fluch. Einleitung
Authors: Völker Oliver , Weise Marten
Published: December 2024

Fluch und Bann sind performative Sprechakte. Unter Bezugnahme auf die Autorität von Göttern, Recht oder Familie zielen sie auf eine Veränderung der Wirklichkeit durch Sprache. In ihrer jeweiligen Äußerungsposition richten sie sich am Verhältnis von Innen
und Außen sowie von Macht und Machtlosigkeit aus, können dieses ihrerseits aber auch herstellen, befestigen oder in Frage stellen. Besonders literarische Figurationen von Fluch und Bann machen diese Zusammenhänge lesbar.1 Prototypisch zeigt sich bereits in Euripides’
Tragödie Medea, wie Kreons machtpolitisch und institutionell fundierter Bann die aus Kolchis stammende Titelfigur aus der politischen Gemeinschaft Korinths verweist, um sie einem Raum außerhalb des Rechts und der kulturellen Ordnung zu überantworten:2 ,,Dich
ihrem Mann Erboste, die so finster blickt, Medea, / heiß ich räumen dieses Stadtgebiet, / Verbannt von hier mit deinem Kinderpaar zugleich.“3 Demgegenüber kann der Fluch auch aus einer Position der Ohnmacht und vermeintlichen Hilflosigkeit geäußert
werden.4 Wenn der geblendete und aus Theben verbannte Oidipus in Sophokles’ Tragödie Oidipus auf Kolonos von seinem Sohn Polyneikes gebeten wird, ihm in dessen Kampf mit dem Bruder Eteokles beizustehen, belegt er diesen mit einem Fluch, der zugleich dessen Tod
besiegelt:
Tragische Flüche: Viermal Ödipus (Sophokles, Seneca, Tesauro, Kleist)
Authors: Harst Joachim
Published: December 2024

Abstract Der vorliegende Aufsatz untersucht die veränderliche Rolle des Fluchs in dramatischen Adaptionen des Ödipus-Mythos. Während sich an der sophokleischen Fassung das Spannungsverhältnis des Fluchs zwischen Mythos und Recht ablesen lässt, wird
der Fluch in späteren Adaptionen seit Seneca zum Gattungsmerkmal der Tragödie schlechthin. Eine weitere wichtige Modifikation nehmen christliche Versionen des Stücks vor, die Ödipus’ Selbstblendung als Opferhandlung verstehen, mit der der mythische Fluch gelöst
wird. Eben diese christliche Wendung wird wiederum von Kleist reflektiert, dessen Lustspiel Der zerbrochne Krug den mythischen Ödipus mit dem biblischen Adam überblendet. Hier verwandelt sich der Fluch vom potenten Sprechakt in ein intransitives Fluchen, das zuallererst die
ungefügige Sprache selbst betrifft.
Der gemeine Feind der Menschlichkeit. Acht und Bann in Schillers Wallenstein
Authors: Metzel Peter
Published: December 2024

Abstract Der Beitrag untersucht konkurrierende Dynamiken gesellschaftlichen Ausschlusses in Schillers Wallenstein, indem er eine Formulierung aus einer Selbstanklage Wallensteins ins Zentrum der Lektüre rückt. Wallenstein spricht von sich selbst dort als
dem ,,gemeinen Feind der Menschlichkeit“. Erstmals wird hier der diskursgeschichtliche Kontext dieser Wendung aufgezeigt. Es handelt sich um eine naturrechtliche Kategorie, die unter dem Namen hostis humani generis auf eine große Bandbreite von sich dem rechtlichen Zugriff
entziehenden Akteuren angewandt worden ist. Der durch Wallenstein aufgerufene naturrechtliche Diskurs wird in ein interpretatives Argument integriert: Der ,,gemeine Feind der Menschlichkeit“ erhält seine Bedeutung für die Trilogie durch einen Kontrast mit einer staatlichen
Ausschlussstrategie. In ihm wird ein Bann gedacht, der über den souveränen Machtbereich, den die kaiserliche Reichsacht in der Trilogie festigen soll, hinausweist: auf einen negativ-unbestimmten Begriff menschlicher Gemeinschaft.
“I Like the Olympics, but I’m here not just for the Olympics”: Sex tourism, destination image and the dark side of mega-event tourism in Rio De Janeiro
Authors: Megheirkouni Majd , Koutrou Niki , Dashper Katherine
Published: December 2024

The Olympic Games are a major tourism attraction and are used by host cities and destinations to try and positively affect destination image and drive tourism attractiveness. Olympic tourists travel to enjoy the sport and carnival of the event, but some also seek to engage in sex tourism. This study draws on interviews with 10 heterosexual male sex tourists during the 2016 Rio Olympics in order to investigate the relationships between the Olympic Games, destination image, and sex tourism. Findings reveal that the limonoid atmosphere of the event provides an appealing atmosphere for sex tourists to engage in sexual encounters with sex workers and local women. The image of Rio as a destination was important in this, as it was seen as a relaxed and fun destination and Brazilian women as beautiful and sexually available. Issues of power between the mainly white sex tourists from the Global North and more economically vulnerable local women in destinations in the Global South were identified and recommendations offered for how Olympic and host destination stakeholders can better protect those most vulnerable to sexual exploitation during mega-event hosting, such as working with other related organisations to educate tourists and protect local women.
Penegakan Hukum Pidana Terhadap Kelalaian Pengemudi Kendaraan Bermotor yang Mengakibatkan Kecelakaan Lalu Lintas
Authors: Setiawan Sulanjar Tri , Abadi Suwarno , Aji Rihantoro Bayu
Published: December 2024

One of the traffic problems in Indonesia is the high number of road accidents caused by driver negligence. Therefore, law enforcement is one of the efforts to address the problem of road accidents. In current practice, traffic law enforcement does not only refer to criminal sanctions as in Law Number 22 Year 2009 on Road Traffic and Transport, but also uses restorative justice methods. This article discusses how the law is enforced in relation to traffic offences caused by the negligence of drivers who cause traffic accidents, and the obstacles in enforcing the law. This is legal research with statute and conceptual approach. The results revealed that law enforcement against negligence of motor vehicle drivers resulting in accidents is conducted with a repressive approach through restorative justice based on police discretionary authority granted through the Police Law. Specifically, the restorative justice approach is regulated through Regulation of the Chief of the Indonesian National Police Number 8 of 2021 concerning the handling of criminal acts based on restorative justice. However, its application is hindered by legal obstacles such as legal problem, law enforcers, citizen and culture. It is therefore necessary to enhance the capabilities and qualifications of law enforcement personnel in accordance with their respective areas of responsibility. This may be achieved through formal education or specialised training, with the objective of facilitating law enforcement through a restorative justice approach.
SURGICAL TREATMENT OF A CHRONIC ANKLE WOUND ASSOCIATED WITH OSTEOMYELITIS OF THE FIBULA, WITH THE FIGUEIREDO TECHNIQUE: A CASA REPORT
Authors:   Ortopedista Cirurgião de Mão e Microcirurgia do Apart Hospital Serra, Vitória-ES, Brasil, Figueiredo Leandro Azevedo de , Figueiredo Pedro Hemerly ,   Médico residente de Ortopedia e Traumatologia do Hospital Santa Casa de Misericórdia de Vitória.Vitória-ES, Brasil, Melo Antônio Leão Bandeira de ,   Ortopedista Cirurgião de Mão e Microcirurgia do Hospital Santa Casa de Misericórdia de Vitória. Vitória-ES, Brasil, Oliveira Ábila Dutra de ,   Médica residente de Ortopedia e Traumatologia do Hospital Santa Casa da Misericórdia de Vitória. Vitória-ES, Brasil, Muniz Alessandro Aparecido da Silva ,   Ortopedista Cirurgião de Mão e Microcirurgia do Hospital e Pronto Socorro 28 de Agosto, Manaus-AM, Brasil, Ribeiro Rafael de Souza ,   Ortopedista Cirurgião de Mão e Microcirurgia do Hospital Santa Casa de Misericórdia de Vitória. Vitória-ES, Brasil, Oliveira Bianca Gabriella De ,   Acadêmico de Medicina pela Universidade Salvador-UNIFACS, Salvador, BA, Brasil
Published: December 2024

Peripheral Obstructive Arterial Disease (PAD) is the obstruction of the peripheral arteries caused by atherosclerosis. Intermittent claudication is the main manifestation, in more advanced stages there may be ischemia and chronic wounds.

PAD is a relevant public health condition due to its high prevalence and impact on patients' quality of life, as well as the risk of disease progression, which can result in limb amputations due to infections and deep ulcerations, associated with serious systemic complications.

The aim of this study is to report a case of treatment with the Figueiredo Technique (FT) of a chronic left ankle injury due to Peripheral Arterial Occlusive Disease, associated with osteomyelitis of the fibula, in an elderly patient.
Strategy for Improving Human Resources Quality Through Training and Brainstorming
Authors: Mawardi Muhammad Imam , Cahyadi Nur
Published: December 2024

Human resources (HR) are the most important asset in an organization. Human resources are a very important element for a company because they are the driving force of a company's internal activities. High-quality talent contributes directly to a company's productivity, innovation and competitiveness. The role of employees in a company can be measured by their performance. Employee performance is a measure of the results achieved by an employee and determines whether the employee is still suitable or the employee has a problem that affects the company's performance. Training provides opportunities for employees to develop skills and knowledge relevant to their duties and responsibilities. This not only improves individual competencies, but also builds a culture of learning within the organization. This research uses a qualitative descriptive approach. This research uses primary data and secondary data as research data to be used. The results showed that training and brainstorming are strategies that can be used to improve the quality of human resources at PT Cipta Qawafil Alshafa. Well-conducted training can improve employee performance, while brainstorming can encourage creativity and invasion in solving problems. With a more structured strategy and proper evaluation, the company can continue to grow and increase competitiveness in the market.
Strategic Financial Planning Analysis to Deliver Sustainable Profits
Authors: Rany Yenny , Indradewa Rhian , Abadi Ferryal , Kustiawan Unggul
Published: December 2024

The evolution of consumer behavior in Indonesia, along with technological advancements, has led to a growing demand for personal shopping services, particularly in major cities. The digital application TITIP provides a digital platform solution that makes it easy for users to obtain necessary items without having to travel to get the needed goods. With a comprehensive investment analysis of market conditions and competitors, TITIP can determine financial planning strategies that can enhance market development growth, increase brand awareness, and implement digital marketing to strengthen TITIP's position in the digital consignment service industry. This research uses qualitative descriptive methods and data analysis on financial planning, which includes a framework of short-term, medium-term, and long-term financial goals; revenue and cost management strategies; and five-year financial projections. The results of the business feasibility analysis show strong growth potential and significant opportunities for the TITIP application to become the leading consignment service platform in Indonesia. Financial planning using investment feasibility analysis calculations such as Net Present Value (NPV), Payback Period (PP), and Internal Rate of Return (IRR), this study assesses TITIP's ability to optimize investments and achieve maximum profit growth. The results show that TITIP has a strong financial base, enabling operational efficiency and creating sustainable growth.
Quality and Perception of Public Housing Provision in Nigeria and Implications for Low-Income Earners
Authors: AKANDE Oluwafemi Kehinde , OLUBAJO Oluseun Olukemi , IBRAHEEM Yusuf
Published: December 2024

This study critically evaluates the quality of public housing provisions for low-income earners in Abuja, Nigeria, aiming to enhance housing policies and delivery outcomes. Employing a descriptive survey approach, data were collected from 150 residents using structured questionnaires focusing on housing quality and occupant preferences. The findings reveal a significant mismatch between the housing options provided and the disposable incomes of low-income residents, leading to widespread unaffordability. Despite increases in housing supply, the needs of low-income earners remain unmet, adversely affecting their living conditions, health, and well-being. The study highlights that current housing policies inadequately address the economic realities of low-income households. It recommends a thorough review of housing provision policies to better align with residents' financial capacities. Furthermore, the research advocates for a collaborative approach among housing designers, developers, and government agencies to promote the development of high-quality, affordable housing. By addressing these issues, the study seeks to contribute to policy amendments that ensure sustainable housing solutions for low-income populations, ultimately improving their quality of life and social inclusion.
A Factorial Fractional Chance-Constrained Programming Model for Regional Electricity Systems Management under GHG Emission Mitigation — A Case Study of Saskatchewan, Canada
Authors:   Environmental Systems Engineering Program, University of Regina, Chen L. A. , Huang G. H. ,   Environmental Systems Engineering Program, University of Regina, Luo B. ,   Institute for Energy, Environment and Sustainability Research, UR-NCEPU, North China Electric Power University, Zhao K. ,   Ruminant Nutrition and Physiology Laboratory, College of Animal Science and Technology, Shandong Agricultural University
Published: December 2024

In this study, a factorial fractional chance-constrained programming model (FFCC) is developed for managing Saskatche- wan’s electricity systems under the pressure of greenhouse gas (GHG) emissions reduction. Through integrating multiple programming methods (i.e., linear fractional, mixed-integer linear, and chance-constrained) with factorial analysis into an optimization framework, FFCC could effectively (1) tackle multi-objective problems; (2) manage stochastic features of system parameters expressed as probability distributions and facilitate constraint-violation analysis; (3) reflect the impacts of various economic and environmental factors and their interactions on system response. Optimal electricity generation schemes, capacity expansion plans, and electricity import/export strate- gies under different policy scenarios and risk levels are explored with the objective of maximizing low-carbon power generation per unit of system cost. Results find that small modular nuclear reactor power would have the potential to replace fossil fuel-fired technologies and aid Saskatchewan in achieving net-zero carbon emissions by 2050. It is expected that the modelling results can support regional ef- forts in proposing effective power generation capacity expansion plans and relevant environmental policies.
Column Experiment of a Single-Stage Multi-Soil-Layering System with Horizontal Flow
Authors:   School of Engineering, University of Guelph, Gibson C. M. , Koukhahi E. ,   School of Engineering, University of Guelph, Jabini Asli S. ,   School of Engineering, University of Guelph, de Lannoy C. F. ,   Department of Chemical Engineering, McMaster University, McBean E. A. ,   School of Engineering, University of Guelph
Published: December 2024

A multi-soil-layering system (MSL) is a biphasic soil-based wastewater treatment technology. In this study, two MSL columns with different soil mixture block (SMB) thicknesses were fed synthetic wastewater and monitored (i.e., organic matter and nutrients) to investigate the treatment performance of MSLs with horizontal flow (HF) orientation. The average removal efficiencies for System 1 (small SMBs) were 54%, 69%, 79%, 99%, and 95% for COD, TP, TN, NH3-N, and NO3--N, respectively, and 45%, 80%, 75%, 98%, and 85% for System 2 (large SMBs). The results suggest the primary function of SMBs in HF-MSLs is to provide phosphorous treatment. For nitrogen, unlike what has been found in other vertical flow (VF) MSL studies, denitrification was not a limiting factor. It is hypothesized (a) nitrification was facilitated by the permeable layer (PL, zeolite) and (b) the saturated conditions inherent to HF-MSLs promoted the growth of a heterogenous PL biofilm, proliferating denitrifying microorganisms. Based on the literature, it is theorized that organic matter (COD) removal was likely inhibited by the combination of competing bacterial species, insufficient aeration, a high influ-ent C/N ratio (12:1), and a relatively low HRT (~ 3 hrs). Overall, the bench scale removal efficiency results produced show the HF-MSL systems tested perform comparatively with VF-MSLs in addition to providing complete nitrogen removal. The findings from this intro-ductory investigation suggest HF-MSLs warrant further study. More research is needed (e.g., biological assessment) to validate the inter-pretations presented herein.
Machine Learning Framework for the Methyl Chloride Production Process
Authors:   School of Mechanical Engineering, Vellore Institute of Technology, Gollangi R. , NagamalleswaraRao K. ,   Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology, Dhanushkodi S. R. ,   Dhanushkodi Research group, School of Chemical Engineering, Vellore Institute of Technology, Mahinpey N. ,   Department of Chemical and Petroleum Engineering, University of Calgary
Published: December 2024

We report a framework for calculating the exergy and energy losses in the hydrochlorination of the methanol process for a methyl chloride production unit. Machine learning-based predictive maintenance models are identified to assess plant toxicity. The proposed novel framework integrates Hyprotech Systems (HYSYS) and machine learning models. It optimizes the operating conditions of the chloromethane plant. Both supervised and unsupervised machine learning models such as Bayesian Ridge regression (BRR), Nearest Neighbors regression (KNR), and Stochastic gradient descent regression (SGD) are used to forecast energy and exergy destruc¬tion. Among these models, the BRR exhibits exceptional accuracy in predicting thermodynamic losses, notably achieving an R2 value of 0.998. Thereby, an integrated framework could serve as a valuable diagnostic tool for assessing real-time plant data to enhance plant opera¬tional efficiency.
Modelling for Improved Flood Forecasting in the Bow River Basin Using Prophet
Authors:   School of Engineering, University of Guelph, Dash A. A. , Castro K. ,   School of Engineering, University of Guelph, McBean E. ,   School of Engineering, University of Guelph
Published: December 2024

The catastrophic flood of the Bow River in 2013 had a significant impact on Calgary, Canada, and citizen's lives, showing the need for early warning systems and preparedness ahead-of-time. AI-based models that integrate climate and historical flow data, using the Prophet algorithm as applied in this research, demonstrate high accuracy in predictions for 15-, 10-, 5-day-ahead and 24-hour-ahead during extreme events in the Bow River, Banff. The predictions 5-day-ahead and 24-hour-ahead are 96.1% and 98.8% accurate, respectively, to the actual event on June 21st, 2013, as a particular case study. The Prophet algorithm shows significant benefits that maintain consistent nonlinear trends with daily, and weekly seasonality. This model also works with diverse components such as trends with high accuracy and greatly improves results using, for example, the GMDH algorithm. A comparison of evaluation metrics for the GMDH and Prophet models indicates that the GMDH model shows R², RMSE, and MAE values of 0.64, 46.8, and 6.70 respectively, with a disparity in accuracy and an absence of trend between the target and the dependent variables. The GMDH model performs well with a timestep of 17 h, but the accuracy significantly decreases with a timestep prediction of 120 h or 5-day-ahead, rendering the model's utility minimal. In contrast, the Prophet model features better prediction of time series data with higher evaluation metrics of R², RMSE, and MAE values of 0.97, 41.7, and 3.19, respectively.
From Disposal to Reuse: Carbon Emission Assessments and Reduction Strategies for Household Refrigerators
Authors:   Institute of Circular Economy, Beijing University of Technology, Huang L. X. ,   Faculty of Materials and Manufacturing, Beijing University of Technology, Wu Y. F. ,   Institute of Circular Economy, Beijing University of Technology,   Faculty of Materials and Manufacturing, Beijing University of Technology, Han H. G. ,   Engineering Research Center of Digital Community Ministry of Education, Beijing University of Technology, Ren X. Q. ,   Qingdao Hailuyuan Recycling Technology Co., Ltd, Hu G. W. ,   Institute of Circular Economy, Beijing University of Technology,   Faculty of Materials and Manufacturing, Beijing University of Technology, Zhai M. Y. ,   Institute of Circular Economy, Beijing University of Technology,   Faculty of Materials and Manufacturing, Beijing University of Technology, Chen C. Y. ,   Institute of Circular Economy, Beijing University of Technology,   Faculty of Materials and Manufacturing, Beijing University of Technology
Published: December 2024

The issue of global climate change is highly critical, and the dual-carbon targets are extremely urgent. The home appliance industry, as a significant component of the manufacturing sector, establishing a green and standardized industrial system is an essential measure to mitigate the impact of global warming. The amount of typical home appliance waste is increasing day by day, and the accounting and analysis of carbon dioxide emissions in the waste disposal process serve as crucial references for establishing a low-carbon industry. This paper employs the life cycle assessment method, targeting the waste disposal process of typical home appliances. A refrigerator is selected as the research object to calculate the carbon dioxide emissions in the three stages of recovery, disassembly, and reuse in the waste disposal process. A comparative analysis is conducted on the carbon dioxide emissions of producing 1 kg of recycled materials and primary materials. The most effective carbon reduction measures for different home appliances are evaluated to provide suggestions and references for promoting the low-carbon and green development of the industry. The final conclusions are as follows: (1) The results of the life cycle assessment indicate that there are significant differences in carbon emissions in different processing stages. Among them, the carbon emissions in the iron recovery stage are the highest, accounting for 87% of the total emissions, while the carbon emissions in the copper recovery stage are the lowest, accounting for only 0.6% of the total emissions. (2) During the process of producing 1 kg of recycled materials, the carbon dioxide emissions in the iron recycling stage are the highest. Compared with the production of 1 kg of primary materials, the carbon dioxide emissions in the primary stages of aluminum, copper, iron, and plastic are all higher than those in the recycling stages.
Pastores, feligresías y alegorías nacionales en dos novelas de 1990: Cristianas viejas y limpias (1997) y Cuando éramos inmortales (1998)
Authors: Albornoz Toloza Valentina Andrea
Published: December 2024

En la literatura, la inclusión de personajes pertenecientes a la jerarquía eclesiástica trae consigo una inevitable generalización. Estas inclusiones configuran una representación de la comunidad religiosa y evidencian procesos sociales e históricos de interés nacional. De este modo, entenderemos a la novela como un género literario compatible con el análisis de la identidad nacional, ya que enuncia una experiencia inactual, una temporalidad homogénea y vacía (Álvarez 2009). En este contexto, el artículo pretende analizar las tensiones dicotómicas presentes en las manifestaciones religiosas de los miembros de la Iglesia católica y su relación con las alegorías nacionales representadas en las novelas Cristianas viejas y limpias (Lafourcade 1997) y Cuando éramos inmortales (Fontaine 1998). Por medio de un análisis cualitativo y de una revisión bibliográfica, argumentamos que las manifestaciones cristiano-católicas presentes en el corpus novelístico se proyectan alegóricamente en una ruinosa nación chilena. Así, pondremos foco en las consecuencias terrenales generadas a partir de los intercambios simbólicos de ritos y tradiciones religiosas descritos tanto desde la perspectiva de los laicos como de los sacerdotes. Los principales resultados de esta investigación indican que las manifestaciones religiosas en la novelística del período demuestran la configuración de un tenso y ruinoso imaginario nacional, sostenido en binarismos. La principal conclusión es que, en ambas obras, la nación alegorizada yace cargada de dicotomías y discursos contradictorios que se replican en las manifestaciones religiosas del catolicismo oficial y en las religiosidades populares.
"Since the moment pictures could move, we had skin in the game": Black horror podcasters as fans, critics, and creators
Authors: Monier Mel , Leer Kristen
Published: December 2024

Black horror is often investigated within film and television studies, but there is a lack of further inquiry into how Black horror exists within fandom, audience, and podcast studies. Upon completing nine in-depth qualitative interviews in our ongoing project on Black-identifying horror podcasters, we investigate how they centralize their racial identity while negotiating and participating in horror fandom and podcasting, as well as how they navigate thematic interpretation and critique of the horror genre. We offer data from our interviews with Black horror podcasters in which we discuss Jordan Peele's film Nope (2022) to explore the ways in which Black horror podcasters embody the unique position of being Black horror fans, critics, and creators. Our investigation centralizes the voices of Black horror podcasters as they discuss experiences, feelings, and labor; such insight greatly contributes to a larger conversation about marginalized audiences' engagement with the horror genre that is often either neglected or exploited.
Vidding and the oppositional gaze: The pleasures of critique
Authors: Coppa Francesca
Published: December 2024

What's the same and what's different about a fan studies field built on bell hooks rather than on Henry Jenkins, Constance Penley, or Lisa Lewis? As a visual art practice, vidding in particular would have a reckoning.
The onus is not on us: Race and fan studies ten years after "African American acafandom and other strangers"
Authors: Editor TWC
Published: December 2024

Rebecca Wanzo's landmark 2015 essay "African American Acafandom and Other Strangers" called for taking Black audiences, fandom, and critique seriously. In this roundtable interview, five Black scholars consider the impact of Wanzo's piece on their own research and centering Blackness in the field as a whole.