bluuebunny/crossref_metadata_2025 huggingface dataset:
Remediation Using Organism: A propitious Approach for Contaminated Soil
Authors: Ganesan Subbulakshmi , Jayakrishna Srujana , Verma Shyamji , Nadeem Sara , Shah Siddhi
Published: June 2024

Soil contamination, otherwise called soil pollution in simpler terms, is
caused due to the presence of anthropogenic substances, majorly chemicals in the
natural soil habitat. It is frequently caused by contaminants from industrial and
agricultural activities or because of improper disposal of waste. Heavy metals like lead
and arsenic; chemicals like pesticides, fungicides, insecticides and petroleum
hydrocarbons are the most common chemicals involved in soil pollution. Soil pollution
is now a global concern due to its impact on the environment and majorly human
health. Industrialization, mining, and overuse of chemical fertilizers are the major
causes of contamination of soil and pose a significant threat to the environment. One
way to restore soil to its original state is soil remediation. It is the process of cleaning
and reviving the soil with external help. It is the process of removing toxicants from the
environment to protect the health of both the population and the environment. There
are three major soil remediation techniques that are generally used - soil washing,
bioremediation, and thermal desorption. Bioremediation is a method of using living
organisms in remediating the soil that is, removing contaminants, pollutants, and toxins
from the soil. Bioremediation includes the remediation of the soil by bacteria, yeasts, or
fungi called mycoremediation. Remediation can also be brought about by mycorrhizal
fungi which are associations of fungal species with roots of higher plants.
Vermiremediation is the remediation of soil with the help of earthworms.
A Review of Bioremediation of Soil Contaminated with Heavy Metals
Authors: Ganesan Subbulakshmi , Padmapriya G. , Arya S. Nair , Kudva Sonal
Published: June 2024

Toxic and hazardous contaminants generated and accumulated as a result of
industrial activities, improper waste management, and other anthropogenic factors,
have become one of the major environmental threats. Heavy metal contamination, in
particular, has long-lasting negative impacts on different life forms. In plants, it can
disrupt the water and nutrient uptake mechanisms, photosynthesis, and other metabolic
pathways, adversely affect the vital soil microflora, and can also make its way to the
food chain, thereby resulting in the deterioration of human health. Although several
chemical and physical treatment options have been developed, these conventional
methods are expensive and may not be feasible for large-scale remediation.
Bioremediation is therefore considered s a better eco-friendly alternative for solving
this issue and for potentially reducing the toxic metal concentration in polluted
resources. This review, in brief, discusses the scope of bioremediation for contaminated
soil, the various metal-remediating microbes found, the different mechanisms of
bioremediation used, and many more.
Recent Trends in Renewable Energy Sources, Challenges and Opportunities
Authors: Prashanth N. A. , Madhu M. C.
Published: June 2024

A particular region's rapid industrial development necessitates the
construction of numerous facilities. These include, in particular, production,
warehouse, and commercial buildings along with office and social structures and the
necessary supporting infrastructure. New industrial facilities must be built in expansive
areas that are suitable for this kind of development. It goes without saying that the
majority of locations with favourable ground conditions and location have already been
developed, necessitating the implementation of this type of investment in less desirable
locations. Due to the specific implementation challenges caused by this, it is necessary
to properly improve and prepare the subsoil in order to construct the buildings and
other objects that make up the entire investment safely.
Retos generacionales en la estructuración de estilos de liderazgo en la ESMIC
Authors: García-Carrillo Jimmy Anderson
Published: June 2024

Este capítulo pretende determinar los principales retos generacionales en la estructuración de estilos de liderazgo en la Escuela Militar de Cadetes “General José María Córdova”. Para abordar este planteamiento, se utiliza un enfoque cualitativo y método descriptivo donde se identifican y determinan, en primer lugar, las diferencias y relaciones entre el liderazgo y el mando, así como las características de las generaciones que en la actualidad convergen en el desarrollo de las actividades propias del Ejercito Nacional de Colombia.
Colombia y la transferencia de conocimiento: análisis desde los offset del sector Defensa
Authors: Pereira-Pardo Karol Tatiana
Published: June 2024

Este capítulo explica la importancia de incluir los offset en la dinámica del sector Defensa colombiano para la adquisición de nueva tecnología que supla las necesidades internas en materia de seguridad y defensa. La investigación resalta la cooperación internacional como una herramienta central al incorporar los intereses y necesidades militares acordados en compensaciones, coadyuvando económica y tecnológicamente en el fortalecimiento de las capacidades de nuestro país convertido en receptor de cooperación industrial, en el marco de los offset.
Los offset con Brasil para la industria de aviación. Efectos en la seguridad y defensa nacional
Authors: Pinzón-Ramírez Pablo Andrés
Published: June 2024

Este capítulo examina la importancia de los acuerdos de cooperación industrial y social (offset) como herramienta para mejorar las condiciones económicas y sociales en los territorios, alejar a la población de los grupos armados organizados, extender el control institucional y posicionar a Colombia como referente regional, en la generación de escenarios propicios para la industrialización y de condiciones adecuadas de seguridad. Con tal propósito, se examinaron casos exitosos a nivel global y regional, específicamente con Brasil. Se concluye que con este tipo de acuerdos pueden obtenerse grandes beneficios de compensación, con inyección adecuada de tecnología para seguir promoviendo la industrialización y mejorar las condiciones de crecimiento económico y de estabilidad de la población en el país.
Colombia y Brasil: ventaja comparativa en la balanza comercial en procesos de cooperación offset, 2016-2021
Authors: Delgado-Nieto Laura Janneth , Polania-Cerinza Yoly Tatiana
Published: June 2024

Este capítulo describe cómo la inclusión de la cooperación offset permite la construcción formal de la balanza comercial y apreciar el comportamiento de las exportaciones de Colombia y Brasil. Indica, así mismo, los niveles de exportación en miles de millones de dólares, desde enero de 2016 hasta enero de 2022. Identifica los productos que realzan las exportaciones de Colombia, aplica las metodologías econométricas de predicción significativa que proporcionan los datos y los resultados proyectados a 2023 en la balanza comercial de ambos países y visualiza las proyecciones necesarias que debe identificar hoy por hoy el sector de seguridad frente al margen competitivo de los sectores que tienen ventaja revelada de Colombia frente a Brasil.
Developments in the Banking Sector and Financial Inclusion in Ethiopia
Authors: Ayele Abebe Birhanu , Malhotra Keshav , Sharma Manu
Published: June 2024

This paper aimed to highlight developments in the banking sector and to assess the status, trends and determinants of financial inclusion in Ethiopia. The study used data from the World Bank Findex Database, Commercial Bank of Ethiopia, Development Bank of Ethiopia and National Bank of Ethiopia annual reports. The Ethiopian banking sector, once dominated by public banks before the reform, showed a new era following the 1994 reform. The reform paved the way for the licensing of some private commercial banks. As a result, the market share of public banks declined significantly after the reform and vice versa for private banks. The level of financial inclusiveness in Ethiopia is extremely low even though the government has given a policy priority since 2016 onwards. Gender, age, education, financial literacy, residence, income, religion, preferring formal financial services, distance, GDP and trust in financial service providers were found to be the main financial inclusion determinants. Given that financial inclusion has been greatly improved after the financial reform, the government has to unlock the banking sector to foreign investors as it will further enhance the level of financial inclusiveness. Banks should also provide innovative financial products to customers.
Pesquisa-Ação e Aprendizagem Docente
Authors: Santos Araújo Zilda Tizziana , França-Carvalho Antonia Dalva
Published: June 2024

Refletir sobre a aprendizagem da docência e desenvolvimento profissional no século XXI implica pensar sobre a sociedade contemporânea e a demanda por profissionais conectados com o cenário mutável e de aprendizagem permanente. Este trabalho, produto de um estudo de revisão de literatura, objetiva discutir sobre a pesquisa-ação como estratégia para a aprendizagem da docência, trazendo a seguinte problemática: a pesquisa-ação tem potencial formativo no processo de aprendizagem da docência? Os principais resultados sinalizam que o trabalho colaborativo é um dos eixos da nova profissionalidade docente e requer diferentes aprendizagens para que o professor ressignifique seu ethos profissional alicerçado no compromisso com a profissão e no engajamento. Também evidenciam que a pesquisa-ação apresenta seu potencial formativo em razão de seu caráter prático e emancipatório ao articular teoria e prática em contextos concretos, possibilitando a ampliação tanto da autonomia como do nível de consciência e reflexividade do professor.  De modo geral, as ponderações elaboradas manifestam sobre a sociabilidade docente com foco na valorização da inteligência profissional do professor ancorada na pesquisa-ação colaborativa, como pressuposto para o alargamento das aprendizagens docentes e desenvolvimento profissional.
Constituição da Identidade Profissional de Professores de Matemática no Início da Docência
Authors: Barretto Ana Cláudia , Cyrino Márcia Cristina de Costa Trindade
Published: June 2024

Este estudo tem como objetivo discutir o movimento de constituição de Identidade Profissional de professores de matemática no início da docência (ID) em um grupo de estudos sobre Educação Financeira (EF). Para tanto, foi realizada uma pesquisa de natureza qualitativa de cunho interpretativo de ações desenvolvidas por três professores de matemática no ID nesse grupo de estudos. Os resultados evidenciam que, ao discutir caracterizações de EF, problematizar a prática do professor em relação à disciplina de EF e analisar e propor tarefas sobre EF, os professores no ID (re)significaram suas crenças/concepções em relação ao ensino de EF; mobilizaram conhecimentos referentes à profissão; buscaram seu sentido de agência profissional diante de vulnerabilidades associadas à EF; explicitaram que deveres lhes são legítimos ao ministrar a disciplina de EF; e mobilizaram aspectos de seu compromisso político. Ao problematizar sua prática profissional, os professores de matemática no ID tiveram a oportunidade de interagir com o outro e de se envolver em situações de aprendizagem, o que foi fundamental para o movimento de constituição de sua Identidade Profissional.
Validity of a Smartphone App to Objectively Monitor Performance Outcomes in Degenerative Cervical Myelopathy: Preliminary Findings From a Longitudinal Observational Study
Authors: Yanez Touzet Alvaro , Houhou Tatiana , Rahic Zerina , Laufer Ilya , Margetis Konstantinos , Martin Allan R , Dea Nicolas , Ghogawala Zoher , Kapushesky Misha , Kotter Mark R N , Davies Benjamin M ,   MoveMed
Published: June 2024

Background

Developing new clinical measures for degenerative cervical myelopathy (DCM) is an AO Spine RECODE-DCM research priority. Difficulties detecting DCM, and changes in DCM, cause diagnostic and treatment delays in clinical settings and heightened costs in clinical trials due to elevated recruitment targets. Digital outcome measures can tackle these challenges due to their ability to measure disease remotely, repeatedly, and more economically.

Objective

The study aims to assess the validity of MoveMed, a battery of performance outcome measures performed using a smartphone app, in the measurement of DCM.

Methods

A prospective observational study in decentralized secondary care was performed in England, United Kingdom. Validity and risk of bias were assessed using criteria from the COSMIN (Consensus-Based Standards for the Selection of Health Measurement Instruments) manual. Each MoveMed outcome was compared with 2 patient-reported comparators, with a priori hypotheses of convergence or divergence tested against consensus thresholds. The primary outcome was the correlation coefficient between the MoveMed outcome and the patient-reported comparators. The secondary outcome was the percentage of correlations that aligned with the a priori hypotheses. The comparators used were the patient-derived modified Japanese Orthopaedic Association score and the World Health Organization Quality of Life Brief Version questionnaire. Thresholds for convergence or divergence were set at ≥0.3 for convergence, <0.3 for divergence, and >0/<0 for directionality.

Results

A total of 27 adults aged 60 (SD 11) years who live with DCM and possess an approved smartphone were included in a preliminary analysis. As expected, MoveMed tests of neuromuscular function correlated most with questionnaires of neuromuscular function (≥0.3) and least with questionnaires of quality of life (<0.3). Furthermore, directly related constructs correlated positively to each other (>0), while inversely related constructs correlated negatively (<0). Overall, 74% (67/90) and 47% (8/17) of correlations (unidimensional and multidimensional, respectively) were in accordance with hypotheses. No risk-of-bias factors from the COSMIN Risk of Bias checklist were recorded. Overall, this was equivalent to “very good” quality evidence of sufficient construct validity in DCM.

Conclusions

MoveMed outcomes and patient-reported questionnaires converge and diverge in accordance with expectations. These findings support the validity of the MoveMed tests in an adult population living with DCM. Criteria from COSMIN provide “very good” quality evidence to support this.
Effect of the Yon PDⓇ on the management of self-care in people with Parkinson’s disease: a randomized controlled study (Preprint)
Authors: Lee JuHee , Yoo Subin , Kim Yielin , Kim Eunyoung , Park Hyeran , Sohn Young Ho , Kim Yun Joong , Chung Seok Jong , Baik Kyoungwon , Kim Kiyeon , Yoo Jee-Hye
Published: June 2024

BACKGROUND

As the percentage of the older population increases, the percentage of people with Parkinson’s disease (PD) also increases. People with PD experience a range of non-motor symptoms, including pain, constipation, dysphagia, sleep disturbances, and fatigue. Because PD is a chronic disease that requires lifelong management, people with PD need to improve their self-care.

OBJECTIVE

To examine the effectiveness of a mobile application on the management of self-care in people with PD.

METHODS

Design: A randomized controlled study
Setting(s): Participants were recruited from the neurology outpatient clinic of S hospital in South Korea between October 2022 and February 2023.
Participants: In total, 93 participants were included in the analysis. There were 41 and 52 participants in the intervention and control group, respectively.
Methods: People with PD aged 50 years and older and able to use a smartphone were recruited from a tertiary hospital in South Korea. The intervention group received the Yon PD® mobile app, which monitors and records the non-motor symptoms of PD. The control group was asked to record their non-motor symptoms on a paper questionnaire. The intervention took place over 12 weeks, and the level of self-care was assessed in both groups at baseline, 6 weeks, and 12 weeks.

RESULTS

Although the general characteristics of the two groups were comparable, monitoring non-motor symptoms with the Yon PD® app effectively increased self-care maintenance and prevented a decrease in self-care monitoring. However, self-care management gradually decreased over the 12-week period in both groups. The intervention adherence rate reached 60.84% at 6 weeks but decreased to 41.87% by 12 weeks.

CONCLUSIONS

Participants were able to improve the degree of self-care by monitoring their non-motor symptoms using the Yon PD® app. However, additional strategies that increase motivation and enjoyment are required to improve adherence.

CLINICALTRIAL

Clinical Research Information Service KCT006433. The first recruitment was conducted in October 2022.
A Better Large Language Model Using Lora for False News Recognition System
Authors: Tiwari Saransh Vinodchandra
Published: June 2024

Abstract: Fake news detection is an important field of study in Natural Language Processing (NLP); yet, problems still exist since there are few well-labeled datasets for AI models to be trained on, and models' efficacy is impacted by privacy and ethical issues. Developing solid algorithms is further complicated by the disparity between false and real news. Previous techniques need to take into account the capacity to take into account both the unique conditions in which the material is provided and the larger narrative in order to handle the difficulty of contextual knowledge in spotting false news. The study investigates the possibilities of using big language models—LLaMA2-7B in particular—for the identification of false news. The study outlines three goals: 1) creating a benchmark dataset that is customized for use in a fake news dataset; 2) using the Language Model (LLM) to develop a fake news detection system through painstakingly fine-tuned training; and 3) assessing the performance of the final model. Using the LLaMA2-7B mod-el, gathering and analyzing datasets of actual and fake news, training the LLM with a variety of real news, and assessing the model's predictive power of news authenticity are all part of the technique. In spite of limited computing resources, the LLaMA2-7B model studies yielded an impressive 96.66% accuracy rate in detecting false news, outperforming earlier technologies and demonstrating the effectiveness of large language models in distinguishing different kinds of fake news.The results imply that using such models has potential for raising the detection of fake news and offering a powerful defense against false information.
A Case Study on Stellar Evolution of Single and Binary Stars
Authors: Kumar A
Published: June 2024

Abstract: Stars are a gigantic sphere of gases burning to produce and emit light. These burning balls are one of the most common celestial objects in space and they travel around the galaxy, being massive they have strong gravitational pull; therefore, it might happen that a massive star captures another passing star, and it may create a new binary pair. It is to be noted that when one looks at the night sky many points are twinkling intense bright light, which in fact might be that the single twinkling point are two stars orbiting one another. The cosmos is humungous, ever-growing, and continuously expanding. It houses all celestial and unknown objects full of mystery. It includes planets like earth hosting life, the asteroids, and meteors, to the energy source of the infinite universe the stars and the phenomenon who hasn't been able to be captured clearly by man and is still a mystery, the black holes and the list goes on and on. From time unknown, mankind has been fascinated by cosmos and its endless possibilities. In this research paper, stellar evolution of single and eclipsing binary stars to get more insight into has been discussed.
ТЕГ-ЫН ТУСГАЙ АРХИВД ХАДГАЛАГДАЖ БУЙ МОНГОЛЫН ШАШИН, СҮМ ХИЙДИЙН ТҮҮХЭНД ХОЛБОГДОХ БАРИМТЫН ТУХАЙ
Authors: Б Эрдэнэбилэг
Published: June 2024

ТЕГ-ын Тусгай архивд 1930-аад онд нам, төрөөс шашны талаар явуулсан бодлого, үйл ажиллагаа, сүм хийдийн жас, аж ахуйд холбогдох баримт /767 сүм хийдийн 5953 тооны барилга гэх мэт/ болон 1944 онд нээгдсэн Гандан хийдийн үйл ажиллагаанд холбогдох баримтууд хадгалагдаж байна. Тухайлбал: ДЯЯ-наас шашин, сүм хийдийн талаар явуулж буй ажлын тухай маршал Х.Чойбалсан болон нам, төрийн дээд байгууллагад явуулсан илтгэл мэдээ, Гандан хийдийн хурал номын үйл ажиллагааны тухай, лам нарын бүрэлдэхүүн, хөрөнгө чинээ, жасын аж ахуйн орлого, зарлага, сүсэгтэн олон ба дотоод, гадаадын бусад хүрээ, хийдүүдтэй харилцах харилцааг тодорхойлсон баримтууд нэлээдгүй байна. БНМАУ-ын СнЗ-ийн шийдвэрээр 1934 онд хүрээ, хийдийн дэргэд Засгийн газрын тусгай төлөөлөгч суулгах болж үүнээс 3 жилийн дараа 1937 оны 5 дугаар сард СнЗ-ийн 10 дугаар хурлын тогтоолоор хүрээ, хийдийн дэргэдэх Засгийн газрын төлөөлөгчдийг Дотоод явдлын яамны харьяанд шилжүүлж, тус яамны харьяанд Шашны хэрэг эрхлэх газрыг /ШХЭГ/ байгуулсан. ТЕГ-ын Тусгай архиваас монголын шашин, сүм хийдийн түүхэнд холбогдох баримтуудыг /ШХЭГ-ийн үйл ажиллагаанд холбогдох баримтууд болон бусад/ судалгааны эргэлтэд оруулах тал дээр анхаарч, хэд хэдэн эмхэтгэлийг нийтийн хүртээл болгоод байна. Үүнд: Б.Эрдэнэбилэг “Монголын сүм хийдийн түүхээс” УБ;2012 он, /нэмж эмхэтгэсэн 2 дахь хэвлэлийг 2014 онд сүм хийдийн байршлын зургаар баяжуулж хэвлэсэн/, Д.Буджав “Боржигин Сэцэн вангийн хошууны сүм хийдийн баримтууд” УБ;2019 он, Д.Буджав “Төв аймгийн сүм хийд, лам нарын бүртгэл” УБ;2019 он болно. Цаашид 1931 оны засаг захиргааны зохион байгуулалтаар байгуулагдсан 13 аймгийн сүм хийдийн түүх, лам нарын бүртгэлийг цувралаар эмхэтгэн гаргахаар ажиллаж байна.
Revisión de los factores que inciden entre el greenwashing y el green brand equity: una agenda investigativa
Authors: Suárez Gutíerrez Sergio Andrés , Sánchez Torres Javier Alirio , Montoya Restrepo Luz Alexandra
Published: June 2024

Objetivo: identificar los elementos o factores que influyen en la relación entre el greenwashing y el green brand equity.
Diseño/metodología: para llevar a cabo este estudio se optó por una metodología de tipo exploratorio con un enfoque cualitativo, destacando la búsqueda conceptual que delineó a los autores clave y los factores asociados a través del análisis documental.
Resultados: la indagación reveló que los factores vinculados en esta relación incluyen el green trust, green brand image, brand credibility, green satisfaction, green brand association, green concern, green confusion, green brand attitude, word of mouth, brand avoidance, green perceived risk, green brand perceived value, green loyalty y green brand legitimacy, los cuales son estudiados en la literatura y, dependiendo el contexto, tienen diferentes roles en esta relación.
Conclusiones: se concluye que esta relación constituye un área de investigación subexplorada; sin embargo, se presenta como una oportunidad para profundizar en la comprensión de los efectos generados por el greenwashing en diversas marcas a través de los factores mencionados anteriormente.
Originalidad: este estudio amplía el análisis de los impactos del greenwashing en el green brand equity al identificar los factores que inciden o pueden mediar en esta relación, señalando también las posibles direcciones futuras de investigación, brindando los factores que se pueden estudiar en diferentes contextos.
Ciências ômicas: Resposta para a ciência vegetal
Authors: Luiz Albuquerque Vieira Renan , Soares Ricardo Jesus Thamires , Nascimento Paixão Tércio Jorge , de Oliveira Almeida Vanessa
Published: June 2024

As ciências ômicas (genômica, transcriptômica, proteômica, metabolômica), são importantes para estudar de forma profunda as plantas e através dos resultados, utiliza-lós como base para aprofundar os estudos na área vegetal e servir como base para diversas outras áreas e novas descobertas. A pesquisa foi conduzida por meio de revisão de literatura integrativa qualitativa, utilizando as bases de dados eletrônicas: Google Acadêmico, Portal de periódicos da Capes e Scielo, com recorte temporal entre os anos de 2020 a 2023. Foram encontrados o total de 46 artigos específicos. Notou-se que as ciências ômicas são de fundamental importância, pois, permitem uma visão abrangente e multidimensional dos sistemas biológicos, abrindo caminho para avanços significativos em campos como a medicina, biologia molecular, agricultura, ecologia e indústria farmacêutica. Além, de permitir o aprofundamento do estudo das plantas e para a descoberta de resposta chaves, que podem servi de base para estudo em várias outras áreas. Portanto, a integração dessas abordagens gera um panorama completo e detalhado do funcionamento das plantas, permitindo que compreendamos melhor como a plantas reagem aos estímulos do ambiente, como se adaptam às condições adversas.
Efeito antibacteriano do óleo essencial de Mentha Piperita L. sobre as bactérias Staphylococcus aureus e Escherichia coli
Authors: Nonato Isael da Silva , Brito Noelma Miranda de , Oliveira Vania Jesus dos Santos , De Oliveira Almeida Karine
Published: June 2024

Apesar da grande diversidade de medicamentos antimicrobianos que apresentam ação sobre diversos microrganismos patogênicos, ainda há a necessidade de estudos que busquem um antimicrobiano ideal, ou seja, aquele que apresenta maior espectro de ação, menor toxicidade, menor custo e menor indício de resistência bacteriana. Nesse contexto, as plantas medicinais surgem como alternativa, pois possuem diversas substâncias oriundas do seu metabolismo secundário, como os óleos essenciais. Diante disso, este trabalho teve como objetivo avaliar o efeito antibacteriano do óleo essencial de Mentha piperita in vitro, sobre as bactérias Staphyloccocus aureus e a Escherichia coli. Utilizou-se cepas comerciais dessas bactérias onde foi testado o efeito antimicrobiano do óleo essencial de Mentha piperita em diferentes concentrações (1, 2, 4, 8, 16, 32 µl/mL). Foi realizado o antibiograma na técnica de difusão de disco em ágar, além dos testes de Concentração Inibitória Mínima (CIM) através da diluição em microplacas e utilizando CTT (cloreto de 2,3,5-trifenil-tetrazólio) como revelador de crescimento bacteriano e determinação da Concentração Bactericida Mínima (CBM). No antibiograma verificou-se que as concentrações ≥ 16µl/mL, apresentaram valores satisfatórios com halos maiores que 19 mm para S. aureus e acima de 16 mm para E. coli. Nos testes de CIM e CBM os resultados revelados foram semelhantes, com resultados favoráveis a partir da concentração a partir de 8 µl/mL. Com os resultados revelados é possível inferir que o óleo essencial de Mentha piperita apresentou inibição do crescimento bacteriano, podendo ser futuramente utilizado como uma alternativa terapêutica para o tratamento infecções provocadas por microorganismos.
Critical Thinking in the Age of Expanded Telepathy and Brain-Computer Interface (BCI)
Authors:   Xi’an Jiaotong Liverpool University, Zubillaga Luciano
Published: June 2024

Unveiling a world of expanded telepathy, the study investigates the convergence of cosmological awareness and brain-computer interface (BCI) technologies. It delves into the evolution or potential disappearance of individual critical thinking in a posthuman era, exploring the emergence of a new form of criticality beyond human boundaries. By envisioning a future where telepathy becomes a reality, the paper examines the direct sharing of mental states, bypassing traditional communication methods and raising profound questions about the nature of consciousness and intentionality.
The Japanese Film AI Amok (2020) and the Collapse of Realist AI Vision
Authors:   Beijing Normal University - Hong Kong Baptist University - United International College, Zhuhai, De Masi Vincenzo , Li Siyi ,   Hong Kong Baptist University
Published: June 2024

AI Amok (2020), directed by Yu Irie, offers an incisive exploration of artificial intelligence’s role in a near-future Japanese society and is set in the year 2030. Employing the analytical framework provided by Bordwell and Thompson’s Film Art: An Introduction, this research explores the film’s narrative construction, visual storytelling techniques, and its thematic depth, particularly focusing on the portrayal and implications of artificial intelligence. Distinct from the often distant futures depicted in science fiction cinema, AI Amok presents a vision of the future that mirrors current technological trajectories, especially in healthcare and urban development. This stands in contrast to films like Blade Runner 2049 (2017) and Her (2013), which envision more abstract futures. AI Amok thus distinguishes itself through a narrative that integrates AI into societal fabrics, confronting the ethical quandaries this integration elicits. The analysis reveals a scenario that feels immediate and tangible, offering a credible sight into the technological advancements and challenges of the near future. Moreover, the study highlights AI Amok’s nuanced depiction of AI’s roles within healthcare and government, suggesting a reflection on and projection of these technologies’ evolving paths. Unlike the overt technologization seen in The Matrix (1999) or Ex Machina (2014), AI Amok opts for more subtle visual effects to convey AI’s ubiquity, providing a unique perspective on AI’s potential to shape societal dynamics. This approach enriches the discourse on science fiction cinema, contributing a distinctive viewpoint to the ongoing debates concerning the ethical development and integration of artificial intelligence in real-world contexts.
Resolving business conflicts under arbitration procedures at the International Chamber of Commerce
Authors: Almansour Haneen Mansour , Ismail Mahmoud
Published: June 2024

The International Court of Arbitration, as an autonomous body within the framework of the International Chamber of Commerce, ICC (Angeon & Callois, 2005), stands as a stalwart institution in resolving disputes arising from international trade contracts (Diemer, 2014). The study aims to delve into the intricate legal framework governing arbitral proceedings under the purview of the ICC, addressing key legal issues that emerge within this domain. The research scrutinizes the procedural mechanisms employed by the arbitral tribunal from the initiation of arbitration proceedings to the issuance of awards, elucidating their function and impacts. This research contributes to a deeper understanding of the legal intricacies surrounding arbitration within the ICC, thereby facilitating decision-making, and fostering greater confidence in the dispute-resolution process of international trade. The study, by integrating theoretical frameworks and qualitative analysis of data, found that the ICC achieved more procedural integrity, and cultivated a dependable repository of information for addressing corporate conflicts. Thus, promoting a more precise comprehension of corporate dispute resolution processes.
The Relationship Between Prenatal Visits and Age of Hip Dysplasia Diagnosis in Infants
Authors: Lipschultz Robyn , Salunga Arianne , Castaneda Pablo
Published: June 2024

Intro: To investigate if there is a relationship between the number of
prenatal visits and the age at which hip dysplasia is diagnosed in
infants. Methods: We conducted a retrospective chart review between
January 2017 and December 2021, collecting the date of birth, the date
of the diagnosis of hip dysplasia, and the number of prenatal visits
attended by the mother. We applied a linear regression analysis to
examine the relationship between the number of prenatal visits and the
age of the diagnosis of hip dysplasia. Results: Out of the 741 infants
in the study, the mean age at diagnosis was 89.73 days, and the mean
number of prenatal visits was 7.39. The simple linear regression
analysis revealed no statistically significant correlation (r=0.04, p =
0.23). Conclusion: Our findings indicate no significant correlation
between the rate of prenatal visits and the age of hip dysplasia
diagnosis. This lack of association may be influenced by factors
including healthy mothers attending fewer prenatal visits, the absence
of maternal age, parity data. This emphasizes the importance of hip
dysplasia education into prenatal visits to enhance health literacy.
Evaluating the Design Capabilities of Text-to-image Generative Models in Illustration Design
Authors: Dai Zhuo-Yan , Zhang Lan , Men De-Lai
Published: June 2024

The GPT-4 version was officially released in 2023, and generative models
are also developing rapidly with the development of artificial
intelligence technology. However, with the extensive use of generative
models, people have found that the output of them are unreliable. The
design capabilities of these generative models need to be further
explored. This study aims to evaluate the design capabilities of three
generative models in the field of illustration design. Employing a
questionnaire survey methodology, we analyzed the collected data using
the Wilcoxon signed-rank test. Our focus was to assess three generative
models in illustration design, specifically examining their capabilities
in theme matching, color matching, artistic style, detail performance,
creativity, and overall impression, and comparing these to the levels
achieved by human designers. The results indicated that these generative
models reached the benchmark set by human groups in all six aspects of
illustration design. Notably, DALL·E 3 has advantages over artificial
intelligence in terms of artistic style, detail representation,
creativity, and overall impression. This research guides designers in
using these types of generative models and also provides a direction for
developers to continue to improve the design capabilities of generative
models.
Sulfate Runoff Processes during Rainfall Events in a Small Forested Catchment on the Sea of Japan Side recovering from Acidification under Climate Change
Authors: Sase Hiroyuki , Yotsuyanagi Hiroki , Morohashi Masayuki , Takahashi Masaaki , Ohizumi Tsuyoshi , Inomata Yayoi , Yabusaki Shiho , Tayasu Ichiro , Okochi Hiroshi
Published: June 2024

Changes in rainfall patterns due to climate change may accelerate the
runoff of sulfur (S) and nitrogen (N), which are anthropogenically
emitted as air pollutants and deposited and accumulated in forest soils.
In this study, intensive observations were conducted in a forested
catchment on the Sea of Japan side to clarify changes in stream water
quality and runoff processes during rainfall events. The pH, electrical
conductivity, and sulfate (SO )
concentration in the stream water decreased with increasing flow rate,
whereas the nitrate (NO )
concentration increased. The SO
concentration was negatively correlated with the flow rate, and the NO
concentration was positively
correlated with the cumulative precipitation amount of each event and
remarkably increased when it exceeded 10 mm. Hydrograph separations
using the water isotopic parameter (deuterium excess, d-excess = δ
H – 8 × δ O) showed that most of
the stream flow during the rain events was derived from pre-storm water,
whereas the portion derived from rainwater increased at rainfall
intensities stronger than 10 mm h . The S isotope
ratio (δ S) in the stream water fluctuated minimally
compared to the d-excess value during rainfall events, suggesting
relatively minor contributions of precipitation SO to stream water via direct inflow. The SO
well homogenized in soil layers
mainly contributed to the discharge during the rainfall events. Future
climate change may further accelerate S and N runoff from forest
catchments and disrupt material cycles in the ecosystem if warming
causes more intense rainfall.
Regulation of mitochondrial dysfunction by estrogens and estrogen receptors in Alzheimer’s disease: A focused review
Authors: Arjmand Shokouh , Ilaghi Mehran , Sisakht Ali Karimi , Guldager Matti Bock , Wegener Gregers , Landau Anne , Gjedde Albert
Published: June 2024

Alzheimer’s disease (AD) is a neurodegenerative disorder that primarily
manifests itself by progressive memory loss and cognitive decline, thus
significantly affecting memory functions and quality of life. The
canonical amyloid-β hypothesis, while significant, has faced setbacks,
highlighting the need to adopt a broader perspective considering the
intricate interplay of diverse pathological pathways for effective AD
treatments. Sex differences in AD offer valuable insights into a better
understanding of its pathophysiology. Fluctuation of the levels of
ovarian sex hormones during perimenopause is associated with changes in
glucose metabolism, as a possible window of opportunity to further
understand the roles of sex steroid hormones and their associated
receptors in the pathophysiology of AD. We review these dimensions,
emphasizing the potential of estrogen receptors (ER) to reveal
mitochondrial functions in the search for further research and
therapeutic strategies for AD pharmacotherapy. Understanding and
addressing the intricate interactions of mitochondrial dysfunction and
estrogen receptors potentially pave the way for more effective
approaches to AD therapy.
Impact of Treating Small and Large Declines in Lung Function in Cystic Fibrosis
Authors: Schechter Michael , Ostrenga Joshua S. , Cromwell Elizabeth A. , Ren Clement , Fink Aliza K. , Sanders Don , Morgan Wayne J.
Published: June 2024

Background: The benefit of antibiotic treatment of acute drops
in FEV percent predicted (FEV pp) has
been clearly established, but data from the early 2000’s showed
inconsistent treatment. Further, there is no empirical evidence for what
magnitude of drop is clinically significant. Methods: We used
data from the CF Foundation Patient Registry (CFFPR) from 2016-2019 to
determine the association between treatment (any IV antibiotics, only
oral or newly prescribed inhaled antibiotics, or no antibiotic therapy)
following a decline of ≥5% from baseline FEV pp and
return to 100% baseline FEV pp days using
multivariable logistic regression including an interaction between the
magnitude of decline and treatment category. Results: Overall,
16,495 PWCF had a decline : 16.5% were treated with IV antibiotics,
25.0% non-IV antibiotics, and 58.5% received no antibiotics.
Antibiotic treatment was more likely for those with lower lung function,
history of a positive PA culture, older age and larger FEV
decline (p<0.001). Treatment with IV
antibiotics or oral/inhaled antibiotics was associated with a higher
odds of recovery to baseline compared to no treatment across all levels
of decline, including declines of 5-10%. Conclusions: A large
proportion of acute drops in FEV1 continue to be
untreated, especially in younger patients and those with higher baseline
lung function. Acute drops as small as 5% predicted are less likely to
be recovered if antibiotic treatment is not prescribed. These findings
suggest the need for more aggressive antimicrobial treatment of acute
drops in FEV , including those of a magnitude
previously believed to be associated with self-recovery.
Media literacy as a mandatory component of the future English language teacher’s functional literacy
Authors: Аксенова К.А.
Published: June 2024

В статье исследуется медиаграмотность как ведущая компетентность будущего преподавателя иностранного языка и обосновывается ее рассмотрение как отдельного компонента функциональной грамотности.

The article was prepared within the framework of the state assignment of the Ministry of Education of the Russian Federation on the topic: ‘Development of students’ media and information literacy in the framework of general education programmes in the conditions of information polyphony and heterogeneity of modern communicative environment’ (agreement No. 073-03-2023-043/1 of 19.06.2023).
The use of neuro-fuzzy Petri networks in modeling different production processes
Authors: Горбунов В.А. , Крюкова Д.Ю. , Суконщиков А.А.
Published: June 2024

В статье рассматривается задача разработки нейро-нечеткого расширения сети Петри. Нейро-нечеткие сети Петри представляют собой эволюцию классических сетей Петри, внедряя элементы нечеткой логики и искусственных нейронных сетей. Они способны моделировать неопределенность и динамику систем, что делает их особенно подходящими для описания производственных процессов, где множество факторов может влиять на результат

The paper addresses the challenge of developing a neuro-fuzzy expansion of the Petri network. Petri's neuro-fuzzy networks represent the evolution of classical Petri networks by introducing elements of fuzzy logic and artificial neural networks. They are able to model the uncertainty and dynamics of systems, making them particularly suitable for describing production processes where many factors can influence the outcome.
Simulating the operation of a robotic manipulator for packing and unloading parcels
Authors: Егорова Л.Г. , Калитаев А.Н. , Логунова О.С. , Панов Д.А.
Published: June 2024

В работе описаны специализированные среды, предназначенные для робототехнических систем, их функциональные возможности, особенности и инструменты. На основании анализа текущего состояния проблемы компьютерного моделирования сформулированы требования к разрабатываемой модели технологического процесса укладки и выгрузки посылок. Согласно установленным требованиям спроектирована архитектура разрабатываемой имитационной модели. Описана кинематическая структура промышленного робота-манипулятора KUKA youBot, необходимая для построения математической модели. Приведены компоненты модели процессов укладки и выгрузки посылок в соответствии со спроектированной архитектурой.

The work describes specialized environment designed for robotic systems, their functionality, features and tools. The work formulates the requirements for the developed model of the technological process related to packing and unloading parcels. The architecture of the developed simulation model was designed according to the established requirements. The paper describes the kinematic structure of the industrial robot manipulator KUKA youBot. This structure is necessary to build a mathematical model. The work presents the components of a model for the processes of packing and unloading parcels in accordance with the designed architecture.
Annerledes og likeverdig: førstelektorstillingens skjebne under akademias konvensjoner
Authors: Nordkvelle Yngve , Eriksen Stig , Hakel Katja
Published: June 2024

I Norge finnes to karriereveier innen undervisning og forskning i høyere utdanning. Veien fra stipendiat via førsteamanuensis til professor er den mest brukte. Men en tredel av de tilsatte i høyere utdanning er tilsatt i en karrierestige som går fra universitets- eller høgskolelektor via førstelektor til dosent. De to karriereveiene kan sies å være knyttet til ulike kunnskapsregimer. I de siste 20 årene har det oppstått misnøye med at kriteriene for å kvalifisere seg fra lektor til førstelektor, og siden til dosent, har vært uklare og skapt stor usikkerhet. Veksten i antall førstelektorer har nær stanset opp de siste 15 årene. Denne undersøkelsen analyserer 31 søknader om å bli førstelektor og bedømmelsene av disse. Våre funn viser at mistanken om uklare kriterier er godt begrunnet, og at bedømmelsene i stor grad legger den andre karriereveiens kriterier til grunn. Til tross for uttalte politiske mål om å styrke utdanningen ved å høyne undervisningens status generelt, er det grunn til å hevde at å gjøre karriere som universitetslærer undermineres av de akademiske konvensjoner.
ENGELSK ABSTRACT
Different and Equal: The Fate of the Senior Lecturer Position under the Conventions of Academia
In Norway, there are two career paths within teaching and research in higher education. The path from doctoral candidate, through associate professor, to full professor is the most used. However, one-third of faculty in higher education follow a career progression that goes from assistant professor, associate professor, to full professor in an alternative career path without a formal Ph.D.-degree. The two pathways seem to represent two different knowledge regimes. Over the past 20 years, there has been dissatisfaction with unclear criteria for advancing within this second career path, leading to significant uncertainty. This study analyzes 31 applications for promotion to associate professor, along with their evaluations. The analysis demonstrates that the suspicion of vague criteria is well- Founded, and that evaluations largely rely on the criteria of the traditional career path. Despite stated policy goals to enhance education by elevating the status of teaching in general, there is reason to argue that pursuing a career as an educator is undermined by academic conventions.
Forensic Medicine and Toxicology: A Fusion of Science and Mythology in Indian Context
Authors: DK* Shivakumar
Published: June 2024

In the realm of Advanced Biological Sciences, the exploration of interdisciplinary fields often leads to fascinating revelations. One such interdisciplinary venture that bridges modern science with ancient wisdom is the study of forensic medicine and toxicology, through the lens of Indian mythology. This unique confluence offers not only a profound appreciation of ancient medical and legal practices but also a deeper understanding of how these practices resonate in contemporary forensic methodologies.
Unveiling the Lifeline: Blood Transfusions in Severe Breast Cancer Treatment
Authors: Obeagu* Emmanuel Ifeanyi
Published: June 2024

Breast cancer, a pervasive global health concern, often presents in severe forms necessitating multidimensional treatment strategies. Blood transfusions stand as a crucial adjunctive therapy in managing severe breast cancer, mitigating hematologic complications and optimizing treatment outcomes. This review delineates the pivotal role of blood transfusions in the comprehensive management of severe breast cancer, encompassing their impact on anemia management, supportive care in chemotherapy and immunotherapy, and reduction of treatment-associated morbidity. Challenges including immunomodulatory effects, resource allocation, and transfusion-related complications are discussed, alongside future directions emphasizing personalized transfusion strategies, integration with emerging therapies, and patient-centered outcomes research. Through elucidating the multifaceted role of blood transfusions, this review underscores their indispensability in the evolving landscape of severe breast cancer treatment, guiding clinical practice and fostering advancements in oncologic care.
Prediction of the Occurrence of Stroke Based on Machine Learning Models
Authors:   Lviv Polytechnic National
            University, Patereha Yurii , Melnyk Mykhaylo ,   Lviv Polytechnic National
            University
Published: June 2024

The research conducted in the medical domain addressed a topic of significant
importance, steadily growing in relevance each year. The study focused on predicting the
onset of strokes, a condition posing a grave risk to individuals' health and lives.
Utilizing a highly imbalanced dataset posed a challenge in developing machine learning
models capable of effectively predicting stroke occurrences. Among the models examined,
the Random Forest model demonstrated the most promising performance, achieving
precision, recall, and F1-score metrics of 90%. These findings hold potential utility
for healthcare professionals involved in stroke diagnosis and treatment.