bluuebunny/crossref_metadata_2025 huggingface dataset:
Философские модусы экзистенциального диалога в практике реконструкции литературного стиля
Authors: Сухоруких Алексей Викторович , Куркина Алла Сергеевна
Published: January 2024

На примере уникальной методической находки – интуитивной реконструкции учащимся авторского стиля классика русской литературы, изложенной в критериях этико-экзистенциального «оклика гения» в новых онтологических реалиях – автопрами рассматрены философские аспекты и аксиологическая символика возможной педагогической практики на уроке литературы в современной российской школе, выдвинуты воспитательные задачи формирования нравственного опыта учащихся в процессе реализации ими самостоятельного творческого замысла в рамках освоения экзистенциального континуума того или иного художественного произведения  с позиций сопричастности общей литературной традиции отечественной культуры. С точки зрения философии образования намечаются основания методической инноватики для возрождения системного принципа мышления учащихся в контексте раскрытия ими «созвучных смыслов» классического литературного произведения.
Субкультура кибербездомных: философско-культурологический аспект
Authors: Хасуев Асланбек Эйляевич , Балиев Ислам Виситович
Published: January 2024

Субкультура кибербездомных представляет собой новую форму самоидентификации личности, отличную от традиционных представлений о месте человека в социуме, которая возникает в «цифровом мире». В последние годы наблюдается увеличение числа людей, которые выбирают жизнь без привязки к определенному месту благодаря использованию современных технологий, что порождает проблемы, привлекающие внимание ученых. В связи с этим автором впервые предпринята попытка рассмотреть субкультуру кибербездомных с философско-культурологической точки зрения. В работе на основе анализа научных трудов, описаны предпосылки возникновения, а также последствия развития данного явления; актуализирован ряд философских вопросов о природе идентичности, сообщества и личностной субъектности в цифровую эпоху. Сделан вывод о том, что возникновение субкультуры кибербездомных является поводом глубже задуматься о том, как технологии формируют нашу жизнь и наше понимание самих себя. Исследование ставит вопросы, требующие дальнейшего изучения.
Флористические находки охраняемых видов сосудистых растений на болотах лесостепных регионов
Authors: Гришуткин Олег Геннадьевич , Щуряков Дмитрий Сергеевич , Ямбушев Артур Равильевич , Филиппов Дмитрий Андреевич
Published: January 2024

Приводятся данные о новых находках охраняемых видов сосудистых растений на болотах 8 лесостепных регионов: Белгородской, Воронежской, Липецкой, Оренбургской, Саратовской и Тамбовской областей, Республик Башкортостан и Татарстан. В 2018–2022 гг. на 43 болотах разных типов было сделано 111 находок 33 видов сосудистых растений, включённых в региональные Красные книги. В том числе были обнаружены 8 видов (из 14 локалитетов), находящиеся под угрозой исчезновения в соответствующих регионах (категория редкости 1). К наиболее примечательным находкам относятся Moneses uniflora в Воронежской области (вид считался исчезнувшим в регионе); Hammarbya paludosa и Salix myrtilloides в Липецкой области (последние находки первого вида были датированы 1960–1980 гг., второй – достоверно был известен ранее в одном местонахождении); Pedicularis sceptrum-carolinum в Республике Татарстан (вторая находка вида для региона). Высокая концентрация охраняемых видов зафиксирована для шести изученных объектов: болото в пгт. Волоконовка (Белгородская область), болото Малый Ильменек (Новохопёрский район, Воронежская область), два болота близ с. Лебяжье (Добровский район, Липецкая область), болото вблизи с. Синенькие (Петровский район, Саратовская область), болото в 3,6 км западнее п. Мичуринский лесоучасток (Мичуринский район, Тамбовская область).
 
БлагодарностиРабота выполнена в рамках государственного задания Министерства науки и высшего образования РФ № 121051100099-5.Д.А. Филиппов благодарит А.С. Сажнева и А.А. Прокина (ИБВВ РАН) за помощь в полевых работах 2020 года.
К распространению Scirtes hemisphaericus (Linnaeus, 1758) (Coleoptera, Scirtidae) в Азии
Authors: Литовкин Станислав Владимирович
Published: January 2024

На основе новых находок Scirtes hemisphaericus (Linnaeus, 1758) из Кемеровской (Россия), Жетысуской (Казахстан) и Иссык-Кульской (Кыргызстан) областей уточняются восточная и юго-восточная границы ареала вида. Возле озера Иссык-Куль жуки были собраны на высоте около 1615 м н.у.м.
Материалы к фауне мирмекофильных жесткокрылых (Coleoptera) города Казани (Республика Татарстан)
Authors: Сажнев Алексей Сергеевич
Published: January 2024

На территории города Казань (Татарстан) в ходе полевых весенних исследований 2010 года в гнездах четырех видов муравьев было собрано 24 вида жесткокрылых (Coleoptera) из 8 семейств: Formica rufa – 10 видов, F. pratensis – 8, F. rufibarbis – 4 и Lasius niger – 2. По классификации мирмекофилов основную группу составили синойки нейтральные (58,3 %), на втором месте по количеству видов – факультативные мирмекофилы (20,8 %). Специализированные группы – гипосинехтры, синехтроики и синойки симфилоидные, представлены единичными видами.
Финансирование: работа проведена в рамках выполнения государственного задания № 121051100109-1.
Первая находка в Крыму инвазивной огнёвки Haritalodes derogata (Fabricius, 1775) (Lepidoptera, Crambidae)
Authors: Савчук Владимир Витальевич , Кайгородова Наталья Сергеевна
Published: January 2024

Приводятся сведения о первой находке Haritalodes derogata (Fabricius, 1775) (Lepidoptera, Crambidae) на территории Крымского полуострова. Вид был обнаружен в юго-восточной части Крыма.
Homozygous Variant on CLASP2 Gene Associated to Intellectual Disability and Rhythm Disorder
Authors:   Genetics Department, Dona Estefania Hospital, Center Hospitalar Universitario Lisboa Central, Lisbon, Portugal., Antunes Diana Oliveira
Published: January 2024

Neurodevelopmental disorders are a group of clinical and genetic heterogeneous diseases characterized by impaired brain development, affecting personal, social, academic, or occupational functioning. Next-Generation Sequencing advent has allowed to unravel new diagnosis
Mental Health Support Programs in the Workplace and Their Effect on Employeewell-Being and Productivity
Authors: KK Bajaj Et. al
Published: January 2024

In recent years, there has been a notable increase in the attention given to workplace mental health support programs. This can be attributed to the heightened acknowledgement of the influence that mental health has on the well-being of employees and their overall productivity. The objective of this literature review is to present a comprehensive examination of the diverse mental health support initiatives that have been implemented within workplace settings, as well as their impact on the overall well-being of employees. The present study investigates the effects of workplace mental health support programs on the well-being and productivity of employees. The study explores many elements like employee assistance programs (EAPs), stress management workshops, flexible work arrangements, and mental health awareness training. The results indicate that these initiatives contribute to enhanced well-being through the reduction of stress, the promotion of job satisfaction, and the cultivation of general mental health. Furthermore, these practices are linked to increased levels of employee engagement and decreased rates of absenteeism. The essential role of supporting leadership and corporate culture in the success of these programs cannot be overstated. Although there are certain difficulties associated with assessment, it is important to acknowledge the significant impact these initiatives have in fostering a healthier and more efficient workforce. Then main objective of the study is to  explore& analyse the factors of mental health support programs in the workplace which impacts on employee well-being & productivity& to study the impact of mental health support programs in the workplace.
The plasmonic eigenvalue problem beyond the quasi-static limit
Authors: Ruiz Matias
Published: January 2024

Plasmonic resonances in nanoparticles can be understood in the quasi-static limit as solutions to the plasmonic eigenvalue problem, i.e. solutions to the quasi-static homogeneous Maxwell's equations when considering the permittivity as the eigenvalue; this formulation makes the modes material-independent. In this talk I will consider analogous versions of the plasmonic eigenvalue problem in two scenarios. First, the full wave regime in 2D where the subwavelength assumption on the size of the nanoparticle is abandoned and the wave scattering problem has to be modelled by the Helmholtz equation. Second (time permitting), the nonlocal hydrodynamic Drude model, which describes, qualitatively, the light-matter interactions at scales where the quantum nature of matter becomes apparent. I will present a rigorous spectral analysis of the plasmonic eigenvalue problem in these two scenarios. The main results are the completeness of the material-independent modes for the Helmholtz equation, and the regularizing properties of nonlocality in the nonlocal hydrodynamic Drude model.
Germination and seedling growth of groundnut seeds infected with Macrophomina phaseolina isolates
Authors: Oluwatoyin Funmilayo Isalar  , Francisca Iziegbe Okungbowa
Published: January 2024

Macrophomina phaseolina is a common contaminant of groundnut (Arachis hypogaea L.) seeds but not much information has been documented about its adverse impact on seed health and germination. This study was carried out to determine the incidence of M. phaseolina on groundnut (Arachis hypogaea) seeds displayed for sale in local markets, characterize the isolates and determine how the fungal presence would affect the germination and seedling growth, so as to provide information on seed handling practices and planning strategies for reducing crop loss due to the fungus. The fungus was isolated using the direct plating inoculation method and then grown for a period of 7 days on a potato dextrose agar (PDA) with temperature set at 28 oC. The DNA was extracted from pure cultures and PCR was performed using primer in pair: ITS4 and ITS5. The products got from the PCR were sequenced for identification of species on the National Centre for Biotechnology Information (NCBI) database. Phylogenetic tree was generated based on the ITS1-2 gene sequences of the isolates. The 18 M. phaseolina isolates adopted for use in this study were all obtained from apparently healthy seeds of different varieties of groundnut sourced from local markets in Delta and Edo States, Nigeria. The experiment on germination of groundnut seeds was set up in a completely randomized design in ten replicates. The individual M. phaseolina isolates inhibited germination and seedling growth in varying degrees. The virulence of the isolates ranged from moderately pathogenic (50%) to extremely pathogenic (75%). Out of the 18 isolates, 14 were found to cause 100% mortality. The inoculated plants exhibited the disease symptoms (damping off, root rot, collar rot, necrosis, wilting and chlorosis) while the control remained healthy. Seedling emergence, number of leaves, root length, and stem girth of infected plants decreased when compared to the control.
What are the minimal criteria of goal-directed perfusion (GDP) in adult cardiac surgery?
Authors: Al Awawdeh Ammar , Iafrate Manuel , Giovinazzo Gil
Published: January 2024

Introduction: Nowadays, many cardiac surgery teams are adopting the goal-directed perfusion (GDP) strategy in their practice to maintain optimal perfusion during cardiac surgeries and improve patient outcomes. Furthermore, it plays an indispensable role as a quality control tool to monitor both perfusionists’ practice and equipment (in addition to disposables used in the surgery.

Objectives: To identify the role and the elements of GDP that facilitate better surgical outcomes. In addition, to compare between GDP and the traditional conventional perfusion strategy (CP) in terms of perfusion adequacy and surgical outcomes. Finally, to recognize challenges that may prevent the effective application of GDP and finding possible applicable solutions.

Methods: A systematic literature review was conducted from three different databases PubMed, SpringerLink, and ScienceDirect. The selected studies were in English from the USA and Europe with a time frame starting from 2005.

Results: The findings highlight the crucial role of the GDP strategy in protecting and preserving end-organ function after on-bypass cardiac surgery procedures. Furthermore, a clear understanding of the GDP implementation component and criteria was obtained. Alternatively, a satisfactory GDP level can be achieved by the optimal utilization of available resources.

Discussion: Dismantling the GDP strategy into practically recognized components to ease the implementation at different levels of perfusion practice.

Conclusion: The GDP approach involves the intensive monitoring of respiratory-related parameters to enhance surgical outcomes. The process includes blood preservation, optimal flow and intraoperative parameters management. Monitoring is the key element of GDP, which can be applied by using the sophisticated technology or the proper use of existing resources to develop protocols within the international guidelines and recommendations. Achieving an optimal perfusion requires concerted efforts of organizational, safety, and practical measurements.
Evaluation of the Influence of Consanguinity and the Role of IFN-γ in Autistic Children, as well as Disease Severity and Oral Health Status
Authors: Al-Demirchi Jehan Yawez , AlGhurabi Batool Hassan , Abdulhussein Zaid , Al-Anssari Hussein Bassim
Published: January 2024

Background: Autism spectrum disorder (ASD) is a neurodevelopmental condition affecting children, characterized by difficulties in social interaction, communication, and repetitive behavior. Consanguineous marriages increase the likelihood of discovering recessive conditions and promoting gene expression, leading to autosomal recessive disorders. Immunity also plays a vital role in autism development, with changes in pro-inflammatory cytokine concentrations or synthesis indicative of aberrant cellular immunity. This research aims to determine the effects of consanguinity on autism, measure interferon-gamma salivary levels, and examine the relationship between autistic subjects’ dental health condition and caries occurrence.

Materials and Methods: Forty autistic children were divided into mild, moderate, and severe categories according to their symptoms and social impairments. The oral investigation involved calculating decayed, missing, and filled teeth and simplified oral hygiene indices. Salivary samples were collected via the drooling technique, and salivary interferon-gamma levels were measured using an enzyme-linked immunosorbent assay.

Results: Consanguineous marriage was significant in the patient group, and salivary interferon-gamma levels were considerably elevated. A higher occurrence of dental caries was detected in autistic individuals. As disease severity increases, dental caries and oral health conditions also worsen.

Conclusion: Consanguinity increases the incidence of autism due to the likelihood of recessively inherited congenital abnormalities. Autism has higher levels of interferon-gamma, which play a role in the condition’s pathophysiology. Additionally, inadequate oral health was noticed in autistic children.
Anthropogenic Activities Alter The Seagrass Ecosystem In Southern Philippines
Authors: D. Arriesgado , E. Arriesgado , M. Sornito , D. Bucay
Published: January 2024

Seagrasses are economically and ecologically important marine habitats. However, anthropogenic activities resulted in their decline globally. In the Philippines, MPAs were established, but most seagrasses need to be acknowledged and directly protected, thus affecting the ecosystem productivity. To prevent this scenario, baseline information that describes the status of seagrass beds is highly needed to help implement sound management practices. The present investigation was carried out to assess the effect of anthropogenic activities on the seagrass ecosystem in 15 municipalities as sampling areas across Southern Philippines. The study used focus group discussions, key informant interviews, and household interviews guided by structured questionnaires. Some 30 to 45 fishers and gleaners were interviewed in every municipality with 476 individuals. A matrix was developed for measuring anthropogenic activities complementary to random sampling of seagrass cover assessment. The anthropogenic activities considered to degrade the seagrass ecosystem and were analyzed in the matrix included tourism, gleaning/fishing, aquaculture, industrial and domestic activities. The result of the study showed that domestic, tourism and gleaning are the prevalent anthropogenic activities affecting seagrasses. The result further showed that higher anthropogenic activities affected lower seagrass percentage cover (R2=0.56). The result indicates that as anthropogenic activity increases, the cover condition of the seagrass ecosystem is averted. This implies that seagrasses should be acknowledged and included in the coastal management plans.
Population compliance with COVID-19 directions in December 2021, Queensland, Australia
Authors: Dalmau Marguerite , Sourjah Ramim , Andrews Ross , Field Emma , Lambert Stephen
Published: January 2024

The Queensland Border Restrictions Direction (No. 56) was introduced in December 2021 as part of the COVID-19 pandemic response. We assessed direction compliance among new and returning Queensland residents. A registered COVID-19 PCR test could be identified for 58% of people, and 89% had received the required vaccines.
Influencia de la liquidez y solvencia en la productividad de las medianas empresas comerciales
Authors: Fonseca Sánchez Óscar Luis , Hernández Celis Domingo
Published: January 2024

La influencia de la liquidez y solvencia en la productividad de las medianas empresas, propuesta actual; es un aporte académico y profesional, cuyo problema se ha identificado en la deficiente productividad, en líneas generales se refiere a los altos costos y gastos que están enfrentando las empresas frente a los ingresos provenientes de los mismos; esta relación ventas de mercaderías vendidas entre recursos (costos y gastos) utilizados viene dando valores por debajo de lo esperado en las empresas materia de estudio. Al respecto se preguntó ¿Cómo influye la liquidez y solvencia en la productividad de las medianas empresas comerciales? Por su parte el trabajo buscó determinar la influencia de la liquidez y solvencia en la productividad. Por su parte la hipótesis general sostiene que la liquidez y solvencia influyen en grado estadísticamente alto en la productividad. El resultado más importante que manifiestan los encuestados es que el 94% sostiene que la liquidez y solvencia influyen en grado estadísticamente alto en la productividad. Se concluye que la liquidez y solvencia definitivamente influyen en la mayor productividad de las empresas estudiadas.
Competing Stakeholders’ Interests in Capital Structure Optimization Processes
Authors:   Hebrew University of Jerusalem, Jerusalem, 	Israel, Rosenthal Arbel , Kramer Meirav ,   Hebrew University of Jerusalem, Jerusalem, Israel, Ross Adam H ,   International University of Monaco, Monaco
Published: January 2024

Capital structure decisions impact stakeholder groups differently. The review indicates that there is no universal capital structure theory that comprehensively explains the real-world financing behavior of firms and the capital structure enterprise performance nexus. In other words, the capital structure puzzle is still unsolved in corporate finance literature. This research extends the classic optimal capital structure model to the case of moral hazard based on the principal-agent problem, where the firm's output dynamically depends on the agent's efforts. The authors develop a dynamic capital structure model to study how agency conflicts between managers and debtholders affect the joint determination of financing and investment decisions. The suggested framework can be applied for quantitative estimates of optimal capital structure, provides explicit advice on optimal long-term debt and equity level and will be useful to produce a firm-specific recommendation. Overall, this paper extends capital structure literature from the perspective of seeking the most efficient and effective ways of interaction between the debtholder and the manager who acts on behalf of the shareholder. The results obtained can be useful to build further successful organizational management strategy.
Building construction materials for ionizing radiation shielding: a systematic literature review
Authors: De Pires Maikon Moreira , Sobreira Larissa Carine , Maia Isadora Zucchi , Ribeiro Francisco Roger Carneiro , Rodrigues Natasha Moraes , Souza Everton Granemann , Do Nascimento Chiara das Dores , Kulakowski Marlova Piva
Published: January 2024

Ionizing radiation, commonly employed in hospital environments, is characterized by its capability to displace electrons from atoms, potentially posing risks to human health. To mitigate potential harm, protective materials have been developed to serve as radiation absorbers. Typically, materials such as lead, iron, and concrete have been conventionally used for this purpose. However, the widespread adoption of new, environmentally-friendly shielding materials has yet to become a reality. In this context, this study conducted a systematic review of both national and international literature to identify emerging materials suitable for protective barriers, with a focus on publications from 2019 to 2023. The ProKnow-C methodology was employed to assemble the Total Bibliographic Portfolio, which encompassed a total of 11 scientific articles during this phase. The research findings indicated that the majority of authors integrate computer simulations with practical experiments to assess material effectiveness. Barium sulfate emerged as the preferred chemical element among most researchers. In lesser proportions, magnetite and bismuth were also utilized, alongside polymers and select metal alloys. As supplementary cementitious materials, fly ash and silica fume were the most frequently encountered. Notably, lead was conspicuously absent in the research, reflecting authors' environmental concerns.
Strategies for Enhancing Supply Chain Resilience in Enterprises Post-Pandemic: A Case Study of Uniqlo
Authors: Cao Yangyang
Published: January 2024

This article focuses on the resilience of supply chains in the aftermath of the pandemic, using Uniqlo as a case study. It analyzes the operational characteristics of Uniqlo's supply chain system, explores its strengths and challenges, and proposes strategies for Uniqlo to enhance supply chain resilience in the context of the COVID-19 pandemic. The article provides recommendations for further optimizing supply chain management, offering valuable insights for research on supply chain resilience.
Domestic Research on Computer-Assisted Translation: Frontier Hot Spots and Evolutionary Paths
Authors: Ma Nan
Published: January 2024

In recent years, computer-assisted translation is one of the important teaching contents in MTI majors, and the discussion of its content helps to cultivate students' translation ability. Based on the bibliometric theory and CiteSpace analysis tool, this paper systematically combed the domestic computer-assisted translation literature in the past ten years, and analyzed the knowledge mapping from the aspects of keyword co-occurrence, keyword clustering, keyword mutation, etc., in order to explore the frontier hotspots of the research in this field and its evolution path. The results show that computer-assisted translation has significant development prospects, and its research content covers a wide range and tends to be diverse. Based on the research results, this paper also makes an outlook on the further development of this field.
Exploration of Carbon Emission Statistics and Management in the Supply Chain of Automobile Industry based on Blockchain Technology
Authors: Gu Xiaoxiang
Published: January 2024

This paper discusses the carbon emission statistics and management of the supply chain in the automobile industry based on Blockchain technology. It first analyzes the importance and challenges of carbon emission statistics in the supply chain of the automotive industry. Then, it introduces the basic principles and characteristics of Blockchain technology and describes its potential application in supply chain management. Then, a solution for carbon emission statistics and management in the supply chain of the automotive industry based on Blockchain technology is proposed, including the establishment of a Blockchain-based carbon emission data sharing platform, the realization of data transmission and verification in each link of the supply chain, and the establishment of a smart contract to achieve the carbon emission reduction target. Finally, the possible challenges and future development direction of the solution are discussed.
Media e gastronomia 2.0. Il lessico agro-alimentare tra neologismi e retrodatazioni
Authors: D'Antonio Davide
Published: January 2024

Il presente contributo è suddivisibile in due parti. La prima parte, dopo due brevi introduzioni storico-generali, si prefissa essenzialmente due compiti: riportare alcuni degli ultimi neologismi nel campo del lessico agro-alimentare e dimostrare, attraverso la retrodatazione, come molte parole considerate nuove in realtà non siano così tanto “nuove”. Nella seconda parte i neologismi riportati sono analizzati dal punto di vista della formazione (derivati, prestiti, calchi, ecc.) e vengono indicati in quali edizioni dello Zingarelli compaiono o meno. A fine contributo sono presenti alcune considerazioni conclusive.
This paper can be divided into two parts. The first part, after two brief historical-general introductions, essentially sets itself two tasks: to report some of the latest neologisms in the field of agri-food lexicon and to demonstrate, through backdating, how many words considered new are actually not so "new." In the second part, the neologisms reported are analyzed from the point of view of formation (derivatives, loanwords, calques, etc.) and are indicated in which editions of the Zingarelli do or do not appear. At the end of the contribution are some concluding remarks.
System Dynamics in Action
Authors: Martinez-Moyano Ignacio
Published: January 2024

Decisions are made, actions are taken, and the world is changing constantly as a result. The consequences of past decisions create the information that affects future decisions in an iterative, continuous set of feedback processes. To better comprehend real-world systems, change, and complex interactions, identifying and understanding feedback is paramount. The system dynamics (SD) approach, part of the operations research field and identified by systems philosophers as part of the first three waves of systems thinking, emerged out of servomechanisms engineering and control theory. It has been applied to understand and manage a wide range of complex problems in natural, engineered, and social systems. The SD approach combines the theory of information feedback, human decision making, and computer simulation to create a computer-aided approach to policy analysis and design. The SD approach favors a point of view that originates from within—an endogenous approach—to explain and propose alternatives for change in complex systems. Feedback and endogeneity, core concepts in system dynamics, enable closed-loop thinking to understand complex systems which go beyond open-loop thinking and reveal, in a holistic way, not only how, but also why things change over time. Additionally, SD uses a broad system boundary to provide such endogenous structural explanations of system behavior, and embracesmethodological pluralism in order to evolve, adapt, and take advantage of advances in computer processing speed and storage, data availability and analysis, and social science research and analytical methods.
The Viable System Model
Authors: Espinosa Angela , Walker Jon , Martinez-Lozada Andrea
Published: January 2024

Stafford Beer’s Viable System Model is one of the most widely used Systemic approaches to management. It offers a robust theory on organisational viability and associated methodologies which supports the practitioner to map the warts-and-all reality of the way an organisation works, and then assess it with VSM criteria. It models an organisation as a neural network, where each node is itself an autonomous, viable system, and all nodes together constitute a purposeful and cohesive organisation. It has been applied at all scales from small work-groups to Small and Medium Enterprises, Corporations, communities and nation states, and experienced practitioners often tell of the power and speed of the model to identify and solve issues threatening organisational effectiveness. This chapter explains the basic VSM theory, a well-developed methodology to apply it for guided organisational self transformation, and a recent example of application in a Mexican service company, which resulted in very good improvements in key performance indicators. It offers a final reflection on innovative developments of the original theory in areas like governance, sustainability, industrial ecology and network management.
The Simple Rules of Complex Networks
Authors: Cabrera Derek , Cabrera Laura
Published: January 2024

Network theory has broad application in the physical, natural, and social sciences. The study of complex networks, and their applications to the study of complex systems, have focused predominantly on: (1) the elemental vertex-edge structure (a.k.a., nodes and relationships), and subsequently (2) the dynamics that occur as a result of this basic structure (e.g., diameter, distribution, small world, contagion, etc). This network theory methodology has provided powerful quantitative tools in the interdisciplinary study of complex systems, and has enriched our thinking about them. However, the simplifying assumptions of the network theory framework have also informed the field of systems thinking, sometimes to its detriment. Network-thinking tends to shoe-horn a number of important elemental structures of complex systems into node-edge relational structure. By assigning these elemental structures to edges, both elemental and emergent complexity can be lost. This paper articulates how DSRP Theory can enrich network thinking about complex systems by: (1) identifying the elemental structures that are typically hidden in network models, (2) quantifying their nature and abundance, and (3) explicating their potential contribution to the intrinsic function and emergent complexity of systems. Specifically, we detail several DSRP heuristics for determining how many elements potentially exist in any network model, demonstrating the effectiveness of DSRP as a “universal cognitive grammar” for identifying and analyzing the structural potentials in complex systems.
The Systemic Intervention Approach
Authors: Midgley Gerald
Published: January 2024

This paper presents a systemic intervention methodology that starts with boundary critique: exploring different boundaries and values that might matter to stakeholders when framing the purposes of an intervention. Boundary critique helps people develop an enhanced understanding of the situation being addressed, and it focuses attention on dealing with conflict and marginalization. Systemic intervention also offers a theory and practice of methodological pluralism: creatively mixing methods from a diverse range of methodological sources in response to the initial boundary critique, so systemic improvements can be designed. This creative mixing of methods yields a much more flexible and responsive approach than might be possible with a narrower range of methods. The value of a systemic intervention approach is illustrated through several practical examples.
Proposed Framework for Semantic Segmentation of Aerial Hyperspectral Images Using Deep Learning and SVM Approach
Authors:   College of education – Ibn rushed for human science, University of Baghdad, Baghdad, Iraq, .. Saadya Fahad ,   College of education – Ibn rushed for human science, University of Baghdad, Baghdad, Iraq,   bourair.alattar@alameed.edu.iq,   Department of Communication Technology Engineering, College of Information Technology, Imam Ja'afar Al-Sadiq University, Baghdad, Iraq, .. Nuha Sami , .. Bourair Al , Al_Barazanchi Israa Ibraheem
Published: January 2024

The combination of deep neural networks and assistance vector machines for hyperspectral image recognition is presented in this work. A key issue in the real-world hyperspectral imaging system is hyperspectral picture recognition. Although deep learning can replicate highly dimensional feature vectors from source data, it comes at a high cost in terms of time and the Hugh phenomenon. The selection of the kernel feature and limit has a significant impact on the presentation of a kernel-based learning system. We introduce Support Vector Machine (SVM), a kernel learning method that is used to feature vectors obtained from deep learning on hyperspectral images. By modifying the data structure's parameters and kernel functions, the learning system's ability to solve challenging problems is enhanced. The suggested approaches' viability is confirmed by the outcomes of the experiments. At a particular rate, accuracy of testing for classification is around 90%. Moreover, to significantly make framework robust, validation is done using 5-flod verification.
Is medical therapy succesful in hemodynamically significant patent ductus treatment in term newborns?
Authors: Yaman Akan , Kandemir İbrahim , Alp Ünkar Zeynep , Kersin Sinem Gülcan , Köle Mehmet Tolga , Çınar Memişoğlu Aslı
Published: January 2024

Aim: To investigate the clinical success of medical patent ductus arteriosus closure treatment for hemodynamically significant patent ductus arteriosus in term babies.
Methods: Our study included patients treated in two neonatal intensive care units with hemodynamically significant patent ductus arteriosus after the 3rd postnatal day and administered medical patent ductus arteriosus closure treatment (ibuprofen and paracetamol) at the discretion of the pediatric cardiologists while awaiting referral for surgical closure treatment.
Our retrospective analysis included anthropometric measurements at birth, the day treatment started postnatally, and other existing clinical conditions that might influence the prognosis of patent ductus arteriosus. Then, treatment success was evaluated by echocardiographic results.
Results: We included all ten patients diagnosed with hemodynamically significant patent ductus arteriosus and administered medical treatment with a mean gestational age at birth of 38.4 ± 1.21 weeks, and median birth weight of 3125 grams (3005-3200). We started medical closure treatment at mean postnatal 11.6 ± 4.9 days with ibuprofen (70%, n=7) or paracetamol (30%, n=3). 40% (n=4) of the infants had complete closure, 20% (n=2) became asymptomatic, and 10% (n=1) underwent surgical ligation. 30% (n=3) of patients died due to different complications during surgical preparation. As we defined treatment success as complete or partial closure and compared paracetamol and ibuprofen success, there was no statistically significant difference between them (p=0.5).
Conclusion: Medical closure treatment might be effective in the presence of hemodynamically significant patent ductus arteriosus in term infants. There was no statistical superiority of paracetamol or ibuprofen treatments over each other in terms of treatment success.
Does cerebrospinal fluid IL-17F distinguish normal pressure hydrocephalus from dementia?
Authors: Karabörk Şeyda , Çelik Hümeyra , Aydın Türkoğlu Şule
Published: January 2024

Aim: The neurological disorder known as normal pressure hydrocephalus (NPH), which has an unknown cause, may be treatable, and is defined by a clinical triad of symptoms. A phenomenon known as dementia refers to a decline in cognitive performance that goes beyond what may be anticipated from the typical effects of biological aging. The symptomatic similarity between these two diseases causes problems in diagnosis. The objective of our study was to compare the concentrations of IL-17A, IL-17F, IL-34, and CXCL13 in the cerebrospinal fluid (CSF) of patients with NPH and dementia for an informative laboratory diagnosis.
Methods: The study included NPH and dementia cases (n=7, n=5, respectively) taken from the patients’s CSF sample by lumbar puncture (LP). The levels of IL-17A, IL-17F, IL-34, and CXCL13 were measured in the CSF of patients' with NPH and dementia by enzyme-linked assay (ELISA) and compared between the two different groups.
Results: There was no difference in age between the NPH and dementia groups (p=0.5). There was no statistically significant difference was found in IL-17A (p=0.7), IL-34 (p=0.9), and CXCL13 (p=0.2) in the inflammatory marker analysis in the CSF. The groups had a statistically significant difference in IL-17F (p=0.04).
Conclusion: IL-17F can be an important laboratory marker used in the differential diagnosis of NPH and dementia.
Comparison of flow experiencing in elite tennis players and certified project managers: A Czechoslovak study
Authors: Bočková Kateřina , Porubčanová Dáša , Hasajová Lívia , Zelina Miron
Published: January 2024

The presented research article is focused on the issue of flow experiencing in elite tennis players and certified project managers. The primary goal of the research is to empirically identify whether there is a significant variance in flow experiencing between elite tennis players and certified project managers. To fulfill the goal of the research, a questionnaire survey is used among elite tennis players representing the Czech and Slovak Republics and certified project managers (IPMA, PMI, PRINCE2 certification). The research results showed that there is no significant variance between elite tennis players and certified project managers flow experiencing. This finding is important for the development of managerial skills of project managers who are trying to find the most effective way of using the flow phenomenon to achieve better work performance. After an overall evaluation of both theoretical and our empirical findings, we conclude that phenomenon flow is a dynamic and lively theoretical concept with the potential for further development in areas that are not currently the subject of further research into management use.
DRY AND OIL MIST MILLING OF ALUMINIUM MATRIX COMPOSITE REINFORCED WITH SAFFIL FIBRES
Authors:   Faculty of Mechanical Engineering, Department of Machine Tools and Mechanical Technologies, Wrocław University of Science and Technology, wyb. Wyspiańskiego 27, 50-370 Wrocław, Karolczak Paweł , Kołodziej Marek ,   Faculty of Mechanical Engineering, Department of Machine Tools and Mechanical Technologies, Wrocław University of Science and Technology, wyb. Wyspiańskiego 27, 50-370 Wrocław, Kowalski Maciej ,   Faculty of Mechanical Engineering, Department of Machine Tools and Mechanical Technologies, Wrocław University of Science and Technology, wyb. Wyspiańskiego 27, 50-370 Wrocław
Published: January 2024

The research involved the milling of an aluminium-based composite. The reinforcement of the tested material was Al2O3 fibres. The volume content of the reinforcement in the material was 10%. The composite was subjected to dry and with the oil mist lubrication milling, the so-called Minimum Quantity Lubrication (MQL). The quantity of oil mist was 125 and 250 ml/h. The tool used was a milling head with six replaceable cutting inserts. Experimental tests were carried out in variable conditions, in a wide range of cutting parameters, i.e. vc = 89-227 m/min and vf = 18-112 mm/min. The technological effects measured were the Fx, Fy and Fx components of the cutting force and the 3D surface roughness. Three roughness parameters were selected for detailed analyses: Sa, Sq and Sz. The article proves that the use of oil mist milling assistance, compared to dry machining, reduces both the cutting force and the surface roughness of the machined aluminum composite. Moreover, it was found that the positive effect of application also depends on the oil mist output. Appropriate selection of machining conditions allows you to reduce cutting force components by 32-45% and surface roughness by up to 70%.
STRUCTURAL EVALUATION OF AN INLAND BARGE STRUCTURE UNDER FORE AREA GROUNDING IMPACT LOADS
Authors:   "Dunarea de Jos" University of Galati, Department of Naval Architecture,
Domneasca Street 111, 800201, Galati, Romania, Perijoc Dumitru-Silviu , Domnisoru Leonard ,   "Dunarea de Jos" University of Galati, Department of Naval Architecture,
Domneasca Street 111, 800201, Galati, Romania
Published: January 2024

The inland shipping industry has a long history of utilizing barges for transportation purposes. However, due to their design and navigation conditions, barges are susceptible to impact damage when navigating through inland waterways. In this study, the authors investigated the effects of a grounding impact on the fore area of a barge structure. The analysed finite element model has been developed with a high structural fidelity representation of a typical inland navigation barge of 3000 DWT. The specific fore area of the barge was subjected to a range of grounding impact scenarios, and the response was analysed using 3D FEM simulations. The results of the study include external force, total internal deformation energy, maximum recorded von Mises stress, and stress triaxiality factor. This study provides valuable insights into the behaviour of barges subjected to foregrounding impact scenarios. The results of the study are intended to be used by shipbuilding structural designers to develop safer and more robust barge hulls that are less susceptible to impact damage. Furthermore, the results of the study can also be used to inform regulations and guidelines for the maritime industry, to improve the safety and reliability of barge transportation.
FFT-ASSISTED SOLUTION FOR THE EIGENSTRESS PROBLEM
IN AN ELASTIC HALF-SPACE
Authors:   1Department of Mechanics and Technologies, Stefan cel Mare University of Suceava,
13th University Street, 720229, Romania
2Integrated Center for Research, Development and Innovation in Advanced Materials, Nanotechnologies, and Distributed Systems for Fabrication and Control (MANSiD), Stefan cel Mare University, Suceava, Romania, Spinu Sergiu
Published: January 2024

A numerical solution circumventing the mathematical complexity of the fully analytical solution of the eigenstress problem is advanced in this paper, whose strong point is the computational efficiency implied by the convolution and correlation theorems, assisted by the fast Fourier transform. The half-space solution is constructed by superposition of two solutions for the infinitely extended medium and an appropriate boundary value problem. The needed eigenstresses result by superimposing three stress states that can be obtained more easily. The first elastic state places the input eigenstrains in an infinite medium. A second infinite space state has a special distribution of eigenstrains, which geometrically mirrors the input eigenstrains with respect to the half-space boundary. Superposition of the two infinite medium states replicates the problem of the input eigenstrains in the half-space, except for the boundary, where a spurious distribution of normal tractions remains. The latter distribution generates a stress state that needs to be superimposed to the superposition of the first two states, yielding the half-space elastic state. The third state has a well-known solution developed in Contact mechanics, based on the Boussinesq fundamental solutions for the elastic half-space. Scenarios reported in the literature concerning uniform dilatational eigenstrains inside an ellipsoidal inclusion are replicated with the proposed method, validating the newly advanced computer program. New results are then obtained by considering dilatational eigenstrains that decrease proportionally with the ellipsoid radii. The latter scenario is of practical interest because it is met in elastic-plastic contacts under moderate load.
DETERMINING THE DISTRIBUTION CURVE OF A SET OF PARTS THROUGH IMAGE PROCESSING IN LABVIEW
Authors:   National University of Science and Technology POLITEHNICA Bucharest, Department of Manufacturing Engineering,
Splaiul Independentei no. 313, sector 6, 060042, Bucharest,, Gheorghiță Vlad
Published: January 2024

In this paper through image processing techniques, for a batch of 100 workpieces machined with a new cutting tool CoroCut XS adjusted to the dimension on an automated lathe SARO 16, will be determined whether their dimensions fall within the defined tolerance range. To measure the desired dimensions, the images of the parts are obtained through a system equipped with a video camera and then a software application is made using a virtual instrumentation software LabVIEW and NI Vision Assistant module in which the captured images are analyzed through several filters by removing some color planes to better define the objects or by achieving a good contrast with the background. Then in the process of image analysis some small objects from the images are removed that will negatively affect or some holes that may appear on the perimeter of the part are filled. The images of the cylindrical pieces will be acquired with a smart vision camera that digitizes the images and process them in a real-time manner. The camera used is ESP32, a system-on-chip microcontroller with integrated Wi-Fi. This camera could be placed in working position over the processed surface or can be used to take an image after the part was processed. The classic method of measurement through a measuring instrument called orthotest will be replaced by an image analysis and processing technique. The created applications will determinate the distribution curve of a batch of machined parts with the adjusted tool and will interpretate the studied features.