bluuebunny/crossref_metadata_2025 huggingface dataset:
Unlocking the Dynamics of Social Entrepreneurship: An Investigation in Northwest Ireland Research Method Paper
Authors: Wei Suzhou , Cunningham Isobel , Bradley Laura
Published: June 2024

The purpose of this research is to examine the establishment and development of social enterprises and entrepreneurs in Northwest Ireland. Using a multi-method approach which combines qualitative and quantitative methods, the research aims to understand the dynamics, challenges, and motivations behind social entrepreneurship. The research design commences with quantitative data collection and analysis, which subsequently informs and enriches the qualitative phase. In the first phase, the research applies a shallow cases analysis to develop the questions for the subsequent survey and interviews. A self-administered online questionnaire, facilitated through a snowball sampling approach, captures quantitative data. The collaboration with regional development entities bolsters the survey process, aiming to construct a demographic profile of social entrepreneurs. The goal of this phase is to gather information that will help explain and describe the motives and difficulties faced by social entrepreneurs. The second phase unfolds through in-depth interviews, engaging social entrepreneurs and stakeholders, including government departments. The aim is to fully understand the formation and evolution process. To understand what factors, impact on this process and how they overcome these events. The research uses a methodological toolkit that includes theme analysis for qualitative insights and SPSS for quantitative data analysis. This multi-method research contributes to the growing of literature on social entrepreneurship, particularly in regional contexts. The findings extend implications for various stakeholders, including government agencies, higher education institutions, and intermediaries actively involved in supporting and enhancing the impact of social enterprises. Essentially, the research provides a context-specific and comprehensive explanation of how social entrepreneurship has developed in Northwest Ireland. In summary, the research effectively advocates for a nuanced knowledge of the dynamics of social entrepreneurship in regional contexts by capturing the richness and complexity of the subject matter through the well-chosen use of a multi-method approach. The results contribute to scholarly discourse and provide practical insights for those committed to promoting social innovation and bringing about constructive changes in society.
A Mixed-Methods Strategy for Small Samples in Ill-Structured Literature
Authors: Ciccarino Irene , Da Silva Jorge
Published: June 2024

This paper contributes to general research by providing a tested protocol to extract structured information with analytical and statistical significance from an exploratory context, despite small samples. Exploring new trends in business and management can be challenging. Sometimes the singularity of the phenomenon observed, or its novelty, offers small samples. The research protocol was developed to study social business models, providing understanding of differences between profiles of a taxonomy. Results were consistent when applied to other samples. The research protocol relies on a mixed method based on pattern identification through qualitative and quantitative analysis.  Detailed methodological decisions and procedures offer a guide for dealing with ill-structured literature lacking consensus and empirical studies, addressing emergent phenomena. The theoretical background is developed in two parts: first, by contextualizing the literature where the mixed-method protocol was developed, and second, by referencing various business and management studies that informed the protocol. The research evaluated significant differences in social business models dimensions and profiles, aiming to classify them and understand how these differences influence social value creation. In the absence of theoretical definitions, social investment and award criteria were researched. The research context, including its strengths and constraints, is explained to assist researchers facing similar challenges. Online data and interviews underwent content and pattern-matching analysis to fill a model selected from the literature. This exploratory research helped overcome theoretical limitations and incorporated diverse perspectives needed to understand social entrepreneurship. The mixed-method strategy identified profiles and classified business models, proposing a taxonomy. The resulting taxonomy is supported by the literature and consistent with the contexts where it has emerged. All procedures are described with examples from the research project to enhance understanding and usage. This comprehensive approach allows researchers to navigate the complexities of social entrepreneurial literature, contributing to a more nuanced understanding of the field.
Sensory Panel Training: Developing Hospitality Students Analytical and Research Skills
Authors: Vasconcelos Sandra , Monteiro Bebiana
Published: June 2024

Having been conducted for many years, sensory and flavour analysis have been instrumental in not only developing and assessing the quality of products, but also understanding their nature and unique characteristics.  Relying on a variety of methods, this analysis can take on different forms, ranging from mostly descriptive to more instrumental approaches, which can include sensory panels, whose training is often time-consuming and demanding. Valued by winemakers, descriptive analysis procedures carried out with the help of sensory panels has been extensively used in the food and beverage industry and can be perceived as key within the scope of sommelier training and hospitality programs. However, despite this importance, given its subjective and intensive nature, sensory analysis can be affected by bias and fatigue, requiring regular calibration exercises, combined with structured tasting procedures and protocols. As a result, training sensory panels requires knowledgeable and experienced instructors, dedicated facilities and continuous support, in addition to a comprehensive view that includes other research approaches and tools that can be combined as to produce more valuable and accurate assessment.  
Focused on wine production and drawing from the authors’ experience, this paper aims to reflect on exploratory research methods involving sensory evaluation, putting forward strategies that can be used to support sensory training. Consistent with a work in progress, it addresses the topics of research methods, action research and reflective practice, contributing towards the development of novel approaches within the scope of teaching research methodology in business and management. Despite the focus on wine production, the strategies described aim at enhancing tourism and hospitality students’ research and analytical skills, ultimately being able to benefit other practitioners in the field.
Fuzzy PIPRECIA and CRADIS integrated method in electric vehicle selection
Authors: Kanmaz Ayşe Kübra , Ertuğrul İrfan
Published: June 2024

Fossil fuel-powered vehicles are known to cause environmental pollution due to their greenhouse gas emissions. As a result, there has been a growing focus on measures and developments aimed at reducing these emissions in recent years. The objective of this study is to compare the top 10 best-selling electric vehicles in Turkey in 2023 based on specific criteria and to rank them accordingly. The study compared 10 different electric vehicles based on their price, horsepower, range, 80% charging time with DC fast charging unit, battery capacity, and fuel consumption. The study employs the fuzzy PIPRECIA method to determine the importance levels of criteria and analyzes 10 different electric vehicle models using the CRADIS method. The findings reveal that fuel consumption and price are highly important criteria, and the Togg T10X V2 model vehicle ranks first when evaluated based on these criteria.
Era Baru Ekonomi Digital: Studi Komprehensif tentang Teknologi dan Pasar
Authors: Destiani Romanda Dwi , Mufiidah Andi Nabiilah
Published: June 2024

Penelitian ini bertujuan untuk menganalisis dampak teknologi canggih seperti Kecerdasan Buatan (AI),blockchain, dan Internet of Things (IoT) terhadap ekonomi digital. Dengan menggunakan pendekatankuantitatif dan metode deskriptif-analitis, penelitian ini mengumpulkan dan menganalisis data dari sektor ritel,perbankan, teknologi informasi, dan sektor lainnya. Hasil penelitian menunjukkan bahwa teknologi ini secarasignifikan meningkatkan efisiensi operasional, keamanan transaksi, dan personalisasi layanan pelanggan. AItelah memperkaya pengalaman pelanggan melalui personalisasi yang ditingkatkan, sementara blockchain telahmeningkatkan transparansi dan keamanan dalam transaksi digital. IoT telah memfasilitasi otomasi danpeningkatan efisiensi dalam operasi sehari-hari. Temuan ini memberikan wawasan berharga bagi praktisi untukmengintegrasikan teknologi digital dalam strategi bisnis mereka guna meningkatkan kompetitif dan inovasi.Penelitian ini juga menyarankan perlunya kebijakan yang mendukung adopsi teknologi serta penelitian lebihlanjut untuk menggali potensi penuh dari inovasi teknologi dalam ekonomi digital.
Models of stimulating energy efficiency of local government units as an element shaping the sustainable development of the modern economy
Authors: Salamaga Marcin , Wąsowicz Krzysztof
Published: June 2024

The aim of the article is to present the construction of a tool motivating local government units (LGUs) to introduce a policy of saving energy from traditional sources and replacing it with renewable energy sources. The bonus allocation algorithm was built using econometric modelling based on the results of a survey conducted among LGUs. The survey allows for data collection, enabling the creation of energy efficiency indicators, which play a key role in the construction of the LGU bonus mechanism. The strength of the proposed tool lies in its construction based on models calculating the bonuses granted to LGUs depending on, e.g. the reduction of the pollutant emission index, the RES investment expenditure index, or the reduction in the energy consumption rate. This is the first proposal of its kind for a tool improving the energy efficiency of LGUs in Poland that was developed using the scientific method.
Focus on Non-Alcoholic Fatty Liver Disease
Authors: Воронина Л.П.
Published: June 2024

Неалкогольная жировая болезнь печени (НАЖБП) широко распространена в популяции и является важной причиной цирроза и гепатоцеллюлярной карциномы. НАЖБП представляет переход от стеатоза через неалкогольный стеатогепатит к циррозу и связана с компонентами метаболического синдрома и сахарного диабета 2-го типа, увеличивая риск осложнений. В настоящее время нет одобренной терапии НАЖБП. Часть препаратов находятся на стадии разработки. В материале обобщены современные представления об эпидемиологии, естественном течении, патогенезе, диагностике, оценке риска, профилактике и лечении НАЖБП.

Non-alcoholic fatty liver disease (NAFLD) is widespread among the population and is the leading cause of cirrhosis and hepatocellular carcinoma. NAFLD includes a continuum from steatosis to non-alcoholic steatohepatitis with rapidly progressive fibrosis and has a bidirectional relationship with components of metabolic syndrome and type 2 diabetes, increasing the risk of complications. There is currently no approved therapy for NAFLD. Although several drugs are in advanced stages of development. The current understanding of epidemiology, natural history, pathogenesis, diagnosis, risk assessment, prevention and treatment of NAFLD is summarized.
Polycystic Ovarian Syndrome
Authors: Можейко Л.Ф.
Published: June 2024

Актуальность проблемы синдрома поликистозных яичников (СПКЯ) заключается не только в высокой степени распространения этой патологии, но и в ее социальной значимости, что обусловлено частым сочетанием нарушений менструальной функции, метаболических расстройств с проявлениями гиперандрогении (гирсутизм, себорея, акне), ановуляторного бесплодия, которые нередко становятся причиной нарушений психологического статуса и качества жизни. Несмотря на значительные достижения последних десятилетий, единой концепции этиопатогенеза СПКЯ не существует, а вопросы диагностики и лечения этой патологии продолжают оставаться дискутабельными. В подростковом возрасте СПКЯ является диагнозом исключения, поскольку может быть верифицирован после исключения других заболеваний со сходной клинической симптоматикой. В статье представлены основные диагностические критерии синдрома поликистозных яичников у подростков, современные подходы тактики ведения и лечения таких пациентов.

The relevance of the problem of polycystic ovary syndrome (PCOS) lies not only in the high degree of prevalence of this pathology, but also in its social significance, which is due to the frequent combination of menstrual dysfunction, metabolic disorders with manifestations of hyperandrogenism (hirsutism, seborrhea, acne), anovulatory infertility, which often cause psychological status disorders. and quality of life. Despite the significant achievements of recent decades, there is no single concept of the etiopathogenesis of PCOS, and the issues of diagnosis and treatment of this pathology continue to be debatable. In adolescence, PCOS is a diagnosis of exclusion, as it can be verified after the exclusion of other diseases with similar clinical symptoms. The article presents the main diagnostic criteria for polycystic ovary syndrome in adolescents, modern approaches to the management and treatment of such patients.
Vitamin B12 Deficiency: Causes, Manifestations and Correction
Authors: Силивончик Н.Н. , Сухих Ж.Л.
Published: June 2024

Витамин В12является жизненно важным микронутриентом, обязательным для образования эритроцитов, роста и поддержания нервной системы. В статье представлены данные об источниках, потребности и всасывании витамина В12, физиологических эффектах, причинах дефицита. Охарактеризованы клинические ситуации, которые являются причиной дефицита витамина В12. Изложена лабораторная диагностика дефицита витамина В12. Основные положения по профилактике и лечению В12-дефицитной анемии представлены в контексте актуального клинического протокола «Диагностика и лечение пациентов (взрослое население) с витамин-В12-дефицитной анемией».

Vitamin B12 is a vital micronutrient that is essential for the formation of red blood cells, the growth and maintenance of the nervous system. The article presents data on the sources, need and absorption of vitamin B12, physiological effects, causes of deficiency, laboratory diagnosis of vitamin B12 deficiency. Clinical situations that cause vitamin B12 deficiency have been characterized. Laboratory diagnosis of vitamin B12 deficiency is described. The main provisions for the prevention and treatment of B12-deficiency anemia are presented in the context of the current clinical protocol "Diagnosis and treatment of patients (adult population) with vitamin B12-deficiency anemia".
Comparative study on efficacy of ultrasound-guided supraclavicular versus costoclavicular brachial plexus block in patients for arteriovenous fistula surgery
Authors: Mohamad Zaini Rhendra Hardy , Mohd Noor Nurul Izzati , Che Omar Sanihah , Seevaunnamtum Praveena , Mohd Azmi Nurul ‘Aifaa
Published: June 2024

Background: Patients with end-stage renal failure (ESRF) who require arteriovenous fistula (AVF) creation often have multiple comorbidities, making the brachial plexus block a suitable choice for anaesthesia. The objective of this study is to compare the efficacy of ultrasound-guided supraclavicular and costoclavicular brachial plexus blocks for AVF creation.
Methods: A total of 70 patients scheduled for the creation of AVF in the distal upper extremity were randomly assigned to 2 groups: supraclavicular block (SCB), Group A: n = 35, and costoclavicular block (CCB), Group B: n = 35. Both groups received 20 ml of 0.5% ropivacaine and 10 ml of 1% lidocaine. The measured parameters included the speed of onset of motor and sensory blockade, the quality of blockade, procedural-related pain score, patient satisfaction, and regional perfusion.
Results: The costoclavicular block demonstrated a significantly faster onset to achieve complete paralysis (p = 0.01) in all sensory and motor nerves compared to the supraclavicular block. Additionally, there was a significant difference in regional perfusion, with higher perfusion observed in the supraclavicular block (p = 0.013). However, there were no significant differences in the quality of block (p = 0.573), and procedural-related pain score (p = 0.117) between the 2 groups.
Conclusion: The costoclavicular block offers a faster onset of sensory and motor blockade compared to the supraclavicular block. However, they are comparable in terms of the quality of the block and procedural-related pain. This new technique can be considered as an alternative for providing anaesthesia in patients with ESRFundergoing AVF creation.
L’approche transdisciplinaire : un catalyseur efficace pour comprendre et soigner les troubles fonctionnels
Authors: Marguerat Elodie , Deppen Alain , Armengaud Jean-Baptiste , Ambresin Anne-Emmanuelle
Published: June 2024

L'adolescence est une période de développement et de croissance propice à l’émergence de troubles fonctionnels. Ces derniers peuvent se manifester avec une diversité de symptômes affectant différents systèmes du corps dont les plus fréquents sont les céphalées, les douleurs abdominales et musculo-squelettiques. Parmi les critères diagnostiques l’on retrouve des investigations somatiques approfondies sans cause organique identifiée ainsi qu’un fort impact des symptômes sur le fonctionnement de l’adolescent dans une ou plusieurs sphères de sa vie.
Alliance between the right to identity and the right to family life as a constitutional/conventional basis to rethink adoption in a contemporary key
Authors: Herrera Marisa
Published: June 2024

In this essay we propose to rethink the centrality of the right to identity as the base human right or backbone of the adoptive legal system in Argentine law. It happens that the right to identity, although always in a relational context such as that contained in filiation, focuses on the satisfaction and protection of people as such, would encounter certain limitations when delving into all interactions – beyond the binarism. relational – that involve certain contemporary problems of adoption. For the purposes of this interpellative task, we are encouraged to get into the ring and thus dispute this centrality in light of the development of the right to family life, taking arts as a starting point. 17 of the ACHR and 8 of the ECHR with the consequent dynamic interpretation carried out by the Inter-American Court of Human Rights and the European Court of Human Rights.
Estrategias de control sobre la infancia y la adolescencia en la última dictadura militar argentina: el contexto del Régimen de Penal de la Minoridad
Authors: Perelló Carolina Soledad
Published: June 2024

El artículo plantea un primer abordaje del Decreto-ley de Régimen Penal de la Minoridad promulgado por la última dictadura militar en Argentina en 1980. El objetivo principal de la investigación será contextualizar la sanción de esta normativa que estableció formalmente la edad de punibilidad de los niños en conflicto con la ley en catorce años y cuyas principales disposiciones continúan vigentes hasta la actualidad. El trabajo hace foco en tres puntos: el funcionamiento legislativo del Estado durante el período dictatorial y la conformación de la comisión que intervino en el proyecto, la trayectoria y los vínculos de sociabilidad entre algunos de los profesionales que integraron dicha comisión, y el contexto general en el que se encontraba el campo de la minoridad previamente y durante el proceso de promulgación de esta legislación. Esta primera aproximación procura contribuir a ampliar el panorama sobre las políticas de minoridad de la dictadura, un aspecto hasta el momento poco transitado en la Historia reciente, que ha tendido a concentrar su mirada principalmente en los niños y niñas víctimas de la sustracción y apropiación ilegal.
“Es difícil encontrar una otredad más grande que la de otro en el tiempo”. Entrevista a Germán Claus Friedmann
Authors: Friedmann Germán Claus , Schierenbeck Tomás , Sufotinsky Tomás
Published: June 2024

Germán Claus Friedmann es uno de los principales historiadores sobre los germanoparlantes de la Argentina en las décadas de 1930 y 1940. Actualmente se desempeña como Investigador del CONICET y profesor en la cátedra de Historia Contemporánea en la Facultad de Ciencias Sociales de la UBA. Entre otros aportes académicos, su tesis doctoral, editada posteriormente como Alemanes antinazis en la Argentina (Siglo XXI, 2010), ha marcado el rumbo del campo historiográfico y la germanística de la Argentina hasta la actualidad, exponiendo a instituciones, personalidades y colectivos de la comunidad germanoparlante como actores vivos en la política y la cultura nacional. En esta entrevista, recorremos su trayectoria académica, analizamos la formación del campo, reflexionamos sobre las formas de interpretar los hechos del pasado y dialogamos sobre algunos de sus principales aportes historiográficos.
IMPLEMENTATION OF GOOD CORPORATE GOVERNANCE ON MSMes IN INDONESIA AND USA
Authors: Nanang Asfufi , Pratiwi Wike
Published: June 2024

ABSTRAK
Good corporate governance (GCG) is a key strategy to ensure the openness, accountability, and efficiency of micro, small, and medium-sized enterprises (MSMEs) in the USA and Indonesia. This study's objective is to ascertain the extent to which research is pertinent to the implementation of GCG in MSMEs. The study employs a descriptive qualitative method for this purpose. The research uses a library research methodology. The results of the study have shown that there are several key indicators that can be used to evaluate and improve GCG practices in these companies. The USA has placed a strong emphasis on competence-oriented governance and design, with Functional background and IT proficiency are necessary in the boardroom to comprehend how IT affects business operations and strategic goals. The findings also emphasize the significance of independence, justice, and accountability as critical metrics for assessing and enhancing GCG practice in these businesses.
Biological Activities of Extracts of Red and Yellow Hawthorn Fruits in Different Solvents
Authors: Atik İlker , Denizkara Ayşe Janseli , Akarca Gökhan , Atik Azize
Published: June 2024

In this study, different extracts were obtained from hawthorn fruits growing in the natural environment in Afyonkarahisar Province, using ethanol, methanol, and acetone solvents. The antibacterial and antifungal activities of these extracts on predetermined target microorganisms were examined. According to the data obtained as a result of the study, the highest antibacterial activity was detected on Listeria monocytogenes in the ethanol extract of red hawthorn with a zone diameter of 12.06 mm. The highest antifungal activity was detected in the ethanol extract of yellow hawthorn on Aspergillus flavus with a zone diameter of 17.22 mm. In addition, the lowest minimum inhibitory concentration (bacterial) value was determined on Listeria monocytogenes in the ethanol extract of red hawthorn with 46.87 µg/mL. The lowest minimum inhibitory concentration (fungal) value was observed on Aspergillus flavus in the ethanol extract of yellow hawthorn with 35.15 µg/mL. The lowest minimum bactericidal concentration value was detected on Staphylococcus aureus at 93.75 µg/mL in the ethanol extract of red hawthorn, while the lowest fungicidal concentration value was detected on both Aspergillus flavus and Penicillium notatum at 23.44 µg/mL in the ethanol extract of yellow hawthorn. The study results showed that especially ethanol extracts of yellow and red hawthorn have high antibacterial and antifungal effects.
Parasites and their host fish in the Gulf of Bejaia, Algerian coast
Authors: Ramdani Souhila , Ramdane Zouhir
Published: June 2024

A total of 1643 specimens of 15 fish species belonging to 8 families, from three different study sites off the Algerian coast (the Gulf of Bejaia, the Soummam River and the aquaculture farm of Beni Ksila) were examined for their parasites. The examined fish species play host to several taxa of parasites, especially metazoans such as six digeneans (25.39%), three monogeneans, one acanthocephalan (20 %), five nematodes (13.48 %), three cestodes (11.58%) and nine crustaceans (9.77%). Only one protozoan parasite, Glugea sp. was collected and identified (45.52%). Three species (Opechona ollsoni, Dichelyne (Cucullanellus) pleuronectidis, Hysterothylacium reliquens) are new to the Algerian coastal parasite fauna. The highest parasite infestation rates with a prevalence of 100%, were recorded in Trachinus draco and Xiphias gladius followed by Mullus barbatus and Sardinella aurita with a prevalence of 91.67% and 87.62%, respectively. No infection with parasites was found in the fish species from brackish waters (Soummam River) and from the aquaculture farm (Beni Ksila).
Dysdera udata sp. n., a new spider species from Cyprus (Araneae, Dysderidae)
Authors: Kunt Kadir Boğaç , Özkütük Recep Sulhi
Published: June 2024

A new Dysdera spider species is described from Cyprus. Based on male and female morphological features, the new species, D. udata n. sp., can be considered in the asiatica species group. Besides the copulatory characters, the new species’ males also have cheliceral projections, which are rarely observed in the genus Dysdera, and both sexes have retrolaterally positioned tubercles on the patellae.
Ring-shaped seismicity structures in the region of Kamchatka: possible preparation for great earthquake
Authors: Kopnichev Yu.F. , Sokolova I.N.
Published: June 2024

We have been studying some seismicity characteristics in the region of Kamchatka region. It was established that two pairs of ring-shaped seismicity structures at depths of 0-33 and 34-70 km have been formed here in 1973-2018 prior to large earthquakes (05.12.1997 г., Mw=7.8 and 20.12.2018, Mw=7.3). Ring-shaped structures are characterized by threshold magnitude values (Mt1 and Mt2 correspondingly) and also big axes length (L1 and L2). Ring-shaped structures were identified in the area to the east and northeast of Petropavlovsk-Kamchatskiy city, where no great earthquakes have occurred during more than 60 years (ring-shaped structure was identified also in the depth range of 71-110 km here). Earlier, correlation dependences of Mt1 and Mt2 parameters on Mw values of major earthquakes for the west of Pacific were creating. Using these dependencies, the magnitude of possible great earthquake in this area was estimated as Mw=8.6±0.2. Besides that, a conclusion on the source depth of such event was drawing on the base of the analysis of three ring-shaped structures. The reasons for ring-shaped structures formation in different depth ranges of the subduction zones are discussing.
Use of Modified Blast Furnace Slag for Cadmium Removal in An Aqueous Medium
Authors: Chouchane Toufik , Tayeb Abedghars Mohamed , Chouchane Sabiha , Meradi Hazem , Boukari Atmane
Published: June 2024

In this work, blast furnace slag was converted to hydroxyapatite-zeolite (MS) through alkaline fusion and hydrothermal treatment, and then it was used to remove cadmium in solution by adsorption in batch mode. The process was accomplished under the influence of determining parameters, namely the contact time, mass of the adsorbent, stirring speed, pH of the medium, temperature of the solution, particle size of the slag, and initial concentration. MS consists mainly of sodium oxide, silica, alumina, lime, and phosphorus pentoxide. The Ca/P, Na/Al, and Si/Al ratios revealed that the converted slag is a hydroxyapatite-zeolite. Following the modification of the treated slag, the specific surface area increased from 282.5 to 410.23 m² g-1. Its zero charge point was detected at pH 3.2. After 50 min, the test results revealed that equilibrium was established. Furthermore, they demonstrated that the adsorption capacity was maximum (133.34 mg) at a pH of 6, at a temperature of 25 °C, at a stirring speed of 200 rpm, at a solid mass of 1g, at a particle size of 300 µm, and at an initial concentration of 240 mg L-1. Exploration of the adsorption isotherms revealed that the Langmuir model better presented the adsorption process, thus revealing that the adsorption occurred on a monolayer surface. The parameters of the examined models, namely RL and n, affirmed that the adsorption is favorable. The kinetic study revealed that this process agreed more with the pseudo-second-order kinetic model, and the transport of pollutant is ensured by external and intraparticle diffusion. Thermodynamic analysis has shown that this process is spontaneous, exothermic, less entropic, and performed under physical interactions. The desorption process revealed that the reuse of MS is possible over five cycles with hydrochloric acid as an eluent. This study opens up advantageous perspectives for the sorption of cadmium from water.
Edukacja wrażliwa na traumę z perspektywy teorii przywiązania
Authors: Jezierski Kamil
Published: June 2024

Sytuacje mogące powodować uraz psychiczny takie jak przemoc, zaniedbanie i dysfunkcje rodziny dotykają istotną część dzieci. Odczuwanie zagrożenia w bliskiej relacji połączone z niedostępnością responsywnego dorosłego łagodzącego negatywne emocje dziecka prowadzi do pojawienia się toksycznego stresu (toxic stress) negatywnie wpływającego na rozwój mózgu. Stąd dzieci z historią traumy mogą w szkole przejawiać różnorodne problemy, w tym deficyt uwagi, nadaktywność i dysregulację emocji. Jednocześnie zagrażające doświadczenia w dzieciństwie (adverse childhood experiences) sprzyjają rozwojowi pozabezpiecznych stylów przywiązania, przez co dziecko znajdując się w środowisku szkolnym może z trudem ufać nauczycielom, czuć dużą presję i interpretować zachowania innych w kategoriach zagrożenia, ale też przeżywać silną frustrację w sytuacji niepowodzeń i mieć trudności w rozwiązywaniu konfliktów. Najpoważniejsze konsekwencje ma zdezorganizowany wzorzec więzi.
Trudności uczniów z historią traumy wymagają specyficznej odpowiedzi ze strony szkół, stąd powstał postulat edukacji wrażliwej na traumę (trauma-informed education). Z teorii przywiązania wynika, że w szkole najpierw należy zapewnić dziecku poczucie bezpieczeństwa emocjonalnego, przede wszystkim dzięki relacji z nauczycielem, który w obliczu problematycznych reakcji ucznia rozumie jego specyficzne potrzeby i aktywnie podtrzymuje z nim wymianę emocjonalną.
Analysis of Working Time of Bubu Catching Equipment Craftsmen (Case Study in Tellu Siattinge District, Bone Regency)
Authors: Yasmin Yasmin , Fachry Mardiana E. , Fakhriyyah Sitti , Adhawati Sri Suro , Wahid Abd. , Mustafa Muhammad Dalvi
Published: June 2024

This study aims to determine how much work time the fishing gear craftsmen work in the Tellu Siattinge District and to determine the factors that influence the working time of the trap fishing gear craftsmen in Tellu Siattinge District. This research was conducted from May to June 2021 in Tellu Siattinge District, Bone Regency. The type of research used is a quantitative approach with a survey method. The sampling technique used is proportional sampling. The data analysis of working time is carried out by calculating the amount of time spent by craftsmen and using tabulated primary data, while the factors that affect the work time use multiple linear analysis and statistical tests. From the results of the study, it was found that the working time of frame makers was 0.63 HKP/day, netting craftsmen were 0.25 HKP/day and bottom net makers were 0.34 HKP/day. The factors of wages, age, education and work experience simultaneously have a significant effect on the working time of fishing gear craftsmen in Tellu Siattinge District. Partially, the wage factor and work experience have a significant effect, while the age and education factors have no significant effect on the workload of fishing gear craftsmen in Tellu Siattinge District.
Economic Valuation of Marine Tourism Dutungan Island by Travel Cost Method in Mallusetasi Subdistrict, Barru Regency, South Sulawesi Province
Authors: Mahmud Medinah , Tahang Hamzah , Hasani M. Chasyim , Made Sutinah , Fakhriyyah Sitti
Published: June 2024

This study aims to determine the factors that influence the intensity of tourist visits to the Dutungan Island, Mallusetasi Sub-district, Barru Regency, South Sulawesi Province and The economic value of the Dutungan Island marine tourism object. This study uses quantitative descriptive and data collection techniques are observation and questionnaires. The population in this study are tourists with the purpose of traveling. The sampling technique used was accidental sampling with a total sample of 43 respondents. This research was conducted in April-May 2021 on Dutungan Island, Mallusetasi Sub-district, Barru Regency, South Sulawesi Province. The data analysis methods used were multiple linear regression analysis and travel cost analysis. The results of this study indicate that the factors that influence the intensity of tourist visits are travel costs, completeness of tourist attraction facilities, distance, accessibility, age and income. The economic value of the Dungan Island marine tourism object is IDR 1,188,895,920.
Mangrove Crab (Scylla spp.) Catching Units as a Community Side Business in Tarakan Tengah Sub-District , City of Tarakan
Authors: Hidayat Nur , Amiluddin Amiluddin , Baso Aris
Published: June 2024

Tarakan City is one of the areas that has considerable fishery potential, one of which is mud crabs, based on the results of a survey in 2018 Tarakan City has exported 4,500 tons of mud crabs per year. This encourages the emergence of mangrove crab fishing as a side business that can increase people's income and welfare. The purpose of this study was to analyze the costs, revenues, revenues and business feasibility and marketing of mud crabs. This research was conducted from March to April 2021. The method used was descriptive qualitative and quantitative using a questionnaire. The sampling method used is the cluster sampling method with a total sample of 36 people, consisting of 25 mud crab catchers, 6 collectors, 3 small traders and 2 large traders. Analysis of the data used is profit analysis and marketing analysis. The results showed that the profit of the mud crab catcher was IDR 5,796,296 per month with an income of IDR 8,375,600 per month and a total cost of IDR 2,579,305 per month, with an R/C value of 3.25 or feasible to run. The highest marketing margin is found in the marketing agency of collecting traders, which is IDR 20,000 and the lowest margin is found in marketing channel 1 at the small and large trader institution of IDR 10,000. The highest marketing costs incurred by marketing agencies are in marketing channel 3, which is IDR 34,436, the most efficient marketing agency is small traders in marketing channel 1 with an average marketing efficiency value of 0.03%.
Economic and Marketing Study of Purse Seine Catch Results in Bone Bay Waters, Bone Regency
Authors: Sambolangi Yerwin Toga , Baso Aris , Hasani M. Chasyim
Published: June 2024

Harvesting marine biological resources especially fish, is still largely dotted with fishing activities. One of the fishing businesses engaged in fishing that has already developed in Indonesia, especially in the South Sulawesi Bone Bay is a ring trawl business (Purse seine). The magnitude of the potential of fisheries in the bone bay led to the formation of a large number of purse seine fishing business units in Bone district. However, erratic natural conditions make production yields non-permanent so it is necessary to know how much this business is still feasible to continue. In this purse seine catch production flow, aspects of marketing and distribution anaises are an important part of knowing the effectiveness of production to support the economy of society. The research was conducted from October to November 2020. In this study the income received by the purse seine capture business unit in bone bay was 1,115,964,357.52/year and indicated that the purse seine business carried out by the fishing business actor was feasible to develop by the division between receipts and costs has a value of more than one (>1). Based on the Marketing aspect the value of marketing efficiency of purse seine catches is set according to the marketing channel value <1 which means it can be said that both channels are efficient marketing on each fish commodity.
Results-Sharing System of Punggawa-Sawi in Gillnet Fishermen of Sumpang Binangae Village, Barru District, Barru Regency
Authors: Marasin Fedri Dwiyanto , Tahang Hamzah , Gosari Benny Audy Jaya , Adhawati Sri Suro , Made Sutinah
Published: June 2024

This study aims to determine the relationship pattern of mustard punggawa to gillnet fishermen and to find out the income and remuneration system of mustard punggawa to gillnet fishermen, Sumpang Binangae Village, Barru District, Barru Regency. This research was carried out from February to March 2021 with two main respondents, namely retainers and mustards for gillnet fishermen in Sumpang Binangae Village, Barru District, Barru Regency. The sampling method in this research is purposive sampling. The data sources used are primary data and secondary data. Data analysis using descriptive qualitative analysis and quantitative descriptive using the formula for production costs, revenues and profits. The pattern of the punggawa-sawi fisherman's working relationship in recruiting mustard greens, Mr. burhanuddin (the punggawa-sawi fisherman group A) prefers to prioritize his family who are looking for work for him. While on the other hand, Mr. dg. Nai' (the punggawa-sawi fisherman group B) chose the mustards who worked for him not only based on kinship but friendship. Then the income of the retainer-sawi fisherman group (A) is IDR 454,530,000 per year and the wage system is the retainer's wage of 65%, while the mustard greens get 35% of the catch. The income of the retainer-sawi fisherman group (B) is Rp. 266.673,333 per year and the wage system is the retainer's wages of 50% while the mustard greens get 50% of the catch.
Telemetry Monitoring System with Features Explaining Anomalies Based on Mahalanobis Distance
Authors: Katsube Shun , Sahara Hironori
Published: June 2024

Because satellites cannot be repaired once launched, operators must detect anomalies early and prevent failures before they occur. Thus, satellite telemetry monitoring systems need to alert operators of anomalies and provide them with useful information to deal with these anomalies. However, traditional knowledge-based monitoring systems have the challenges of difficulty in building comprehensive models and a high dependency on experts. In recent years, data-driven approaches have been actively studied with the development of machine learning algorithms. These approaches solve the challenges of knowledge-based methods; however, they are often less capable of explaining anomalies than knowledge-based methods. In this study, we propose the new telemetry monitoring system with feature engineering to explain anomalies. The proposed method realizes identifiability of anomaly types and unusual telemetry by designing features based on moving averages, telemetry periods, waveform differences, and the Mahalanobis distance. We applied the proposed features to artificial and practical abnormal datasets and evaluated their usefulness. The results showed that the proposed method is capable of identifying trend, periodic, and waveform anomalies, specifying the telemetry in which the anomaly occurred and providing the information to operators.
Development of a Data-driven Condition-Based Maintenance Methodology Framework for an Advanced Jet Trainer
Authors: Baldo Leonardo
Published: June 2024

Since their introduction more than 20 years ago, PHM strate- gies for aerospace equipment have gone a long way, enabling operators and Original Equipment Manufacturers (OEM) to monitor their assets, track down abnormal behaviors and plan maintenance action in advance. On the other hand, the tran- sition from PHM strategies using simulated data to solutions utilizing real-life operational data is consistently prone to sig- nificant challenges and demands. This doctoral thesis aims to develop a PHM/CBM framework applied to a Electro-Hydraulic Actuators (EHAs) leveraging real in-service fleet data. In this paper, the first steps of the research project are presented.
Natural Language Processing for Risk, Resilience, and Reliability
Authors: Jmpion
Published: June 2024

Natural Language Processing (NLP) has seen a surge in recent years, especially with the introduction of transformer architectures, relying on the now famous self-attention mechanism. Especially, with the rise of Large Language Models (LLM), propelled by the appearance of ChatGPT in 2022, a new hope of extracting relevant information from text has emerged. In the meantime, natural language data have not often been used in risk, resilience, and reliability tasks. However, text data containing reliability-related information, that can be used to monitor health information regarding complex systems, are available in several and diverse shapes. Indeed, text data can either contain theoretical expert knowledge (technical reports, documentation, Failure Modes and Effects Analysis (FMEA)), or in-practice expert knowledge (incident reports, maintenance work orders), or in-practice non-expert knowledge (customer feedback, news articles). Critical infrastructures, such as nuclear powerplants, railway networks, or electrical power grids, are complex systems for which any failure would induce severe consequences affecting many people. Such systems have the advantage of serving many users, thus having many possible text sources from which technical information and past incident data can be mined for anticipating future failures and generating responses to catastrophic scenarios. The goal of this work is to develop methods and apply state-of-the-art NLP techniques to text data relating to critical infrastructures and failures, to (1) mine information from unstructured language data, and (2) structure the extracted information. Preliminary experiments were conducted on customer review data and incident reports, and show promising performance for failure detection from text data with transformers, as well as incident-related information extraction using LLMs.
A Hybrid – Machine Learning and Possibilistic – Methdology for Predicting Produced Power Using Wind Turbine SCADA Data
Authors: Singh Maneesh
Published: June 2024

During its operational lifetime, a wind turbine is continuously subjected to a number of aggressive environmental and operational conditions, resulting in degradation of its parts. If left unattended, these degraded components will negatively influence its performance and may lead to failure of the wind turbine. In order to mitigate the risk associated with the failure of components, a wind turbine is regularly inspected and maintained.
Currently, there are two commonly used approaches for making maintenance management (inspection and maintenance) plans. Traditional Approach utilises understanding of failure profile of the components for manually developing maintenance plan for the equipment. Condition-Based Approach utilises data collected by condition monitoring of equipment for developing dynamic maintenance plan. SCADA system offers a low-resolution condition-monitoring data that can be used for fault detection, fault diagnosis, fault quantification and fault prognosis and eventually for maintenance planning.
The monitoring data from SCADA system of a wind turbine is often afflicted with variability and uncertainty. The variability in data is the result of continuously changing environmental conditions and uncertainty arises due to imperfections in the recorded data. The uncertainty may be due to many reasons, including, inherent characteristic of sensing devices, drift in calibration with time, deterioration of sensing devices’ sensitivity and response due to environmental attacks, etc.
For handling variability in monitoring data a number of parametric and non-parametric (statistical) predictive models for different aspects of a wind turbine’s structure and operation have been proposed. Depending upon its type – aleatory or epistemic – an uncertainty can be handled in a number of ways. Since, the dynamic nature of wind turbine operation does not allow collection of multiple values under the same condition; hence, uncertainty is mostly epistemic in nature. Possibilistic Approach, based on Fuzzy Set Theory, is especially suitable for handling epistemic uncertainty that may arise due to imprecision or lack of statistical data.
Aim of the ongoing research is to develop a methodology for detecting sub-optimal operation of a wind turbine by comparing Measured Produced Power against Predicted Produced Power. Unfortunately, variability and uncertainty associated with the recorded data make accurate prediction of produced power challenging.
This paper presents methodologies for predicting produced power using SCADA data while simultaneously accounting for variability and uncertainty. The methodologies utilise either parametric (example, power curve) or machine learning (example, XGBoost) models for handling variability; and Possibilistic Approach for handling uncertainty.
Soft Ordering 1-D CNN to Estimate the Capacity Factor of Windfarms for Identifying the Age-Related Performance Degradation
Authors: Mathew Manuel Sathyajith , Kandukuri Surya Teja , Omlin Christian W , Omlin Christian W
Published: June 2024

Wind energy plays a vital role in meeting the sustainable development goals set forth by the United Nations. Performance of wind energy farms degrades gradually with aging. For deriving maximum benefits from these capital-intensive projects, these degradation patten should be analyzed and understood. Variations in the capacity factor over the years could be an indication of the age-related degradation of the wind farms. In this study, we propose a novel data-driven model to estimate the capacity factor of wind farms, which could then be used to estimate its age-related performance decline. For this, a 1-dimensional convolutional neural network (1-D CNN) is developed with a soft ordering mechanism under this study. The model was optimized using Huber loss to counteract the effects of outliers in data. The developed model could perform very well in capturing the underlying dynamics in the data as evidenced by a normalized root mean squared error (NRMSE) of 0.102 and a mean absolute error (MAE) of 0.035 on the test dataset.
Model-based Probabilistic Diagnosis in Large Cyberphysical Systems
Authors: Lucas Peter J.F. , Dal Giso , Hommersom Arjen , Grievink Guus
Published: June 2024

Model-based diagnosis is concerned with diagnosing faults or malfunction of real-world physical or cyberphysical systems using a model of the structure and behavior of the systems. As cyberphysical systems can be extremely large and complex, and the associated computational models will be then equally large and complex, they impose a hard to beat challenge on the computational feasibility of reasoning with such models. When such a model is able to handle the uncertainty associated with diagnostics, giving rise to probabilistic model-based diagnostics, the computational feasibility becomes even harder. This paper: (1) proposes a novel graphical method underlying model-based diagnostics; (2) demonstrates experimentally how a novel, by the authors developed architecture of partitioned positive weighted model counting, is able to handle exact inference to answer a variety of probabilistic queries regarding the health status of a cyberphysical system. Results obtained are well within acceptable time bounds.