bluuebunny/crossref_metadata_2025 huggingface dataset:
Sagamore Hill National Historic Site: Geologic resources inventory report
Authors: Henderson Timothy
Published: May 2024

Geologic Resources Inventory reports provide information and resources to help park managers make decisions for visitor safety, planning and protection of infrastructure, and preservation of natural and cultural resources. Information in GRI reports may also be useful for interpretation. This report synthesizes discussions from a scoping meeting held in 2010 and a follow-up conference call in 2022. Chapters of this report discuss the geologic heritage, geologic features and processes, geologic history, and geologic resource management issues of Sagamore Hill National Historic Site. Guidance for resource management and information about the previously completed GRI GIS data and poster (separate products) is also provided.
Spectral Turán-Type Problems on Cancellative Hypergraphs
Authors: Ni Zhenyu , Liu Lele , Kang Liying
Published: May 2024

Let $G$ be a cancellative $3$-uniform hypergraph in which the symmetric difference of any two edges is not
contained in a third one. Equivalently, a $3$-uniform hypergraph $G$ is cancellative if and only if $G$ is
$\{F_4, F_5\}$-free, where $F_4 = \{abc, abd, bcd\}$ and $F_5 = \{abc, abd, cde\}$. A classical result in
extremal combinatorics stated that the maximum size of a cancellative hypergraph is achieved by the balanced
complete tripartite $3$-uniform hypergraph, which was firstly proved by Bollobás and later by Keevash and Mubayi. In this paper, we consider spectral extremal problems for cancellative hypergraphs. More precisely, we
determine the maximum $p$-spectral radius of cancellative $3$-uniform hypergraphs, and characterize the
extremal hypergraph. As a by-product, we give an alternative proof of Bollobás' result from spectral viewpoint.
Critical Exponent of Binary Words with Few Distinct Palindromes
Authors: Dvořáková L’ubomı́ra , Ochem Pascal , Opočenská Daniela
Published: May 2024

We study infinite binary words that contain few distinct palindromes. In particular, we classify such words according to their critical exponents. This extends results by Fici and Zamboni [TCS 2013]. Interestingly, the words with 18 and 20 palindromes happen to be morphic images of the fixed point of the morphism $\texttt{0}\mapsto\texttt{01}$, $\texttt{1}\mapsto\texttt{21}$, $\texttt{2}\mapsto\texttt{0}$.
Like, Comment, and Follow: How to Amend Copyright Law to Protect Black TikTokers
Authors: Young Ny'esha
Published: May 2024

The Black community has long suffered through a cycle of trauma and pain, with history repeating itself throughout generations. From the civil rights movement to the Black Lives Matter movement, this cycle persists, showing up again in the experiences of Black TikTokers. Despite looking race-neutral on its face, copyright law’s lack of understanding of how Black art can manifest itself has become more obvious in the world of digital creativity. Stuck in a cycle of appropriation, Black TikTokers find themselves facing a familiar dilemma as their work is replicated without compensation or credit, echoing the historical struggles of Black musicians. This Article analyzes how copyright law fails to protect choreographic works, leaving Black TikTokers with no adequate legal solution. Looking through a critical IP lens, this Article proposes recommendations to better protect the creative works of Black TikTokers. Through these recommendations, this Paper aims to offer hope and tangible solutions to address the systemic challenges facing Black creators in this digital age.
Company Characteristics, Internet Financial And Sustainability Reporting And Company Performance
Authors: Tumewu James , Murni Siti Asiah , Zainuddin Akhmad
Published: May 2024

This research aims to examine and analyze company characteristics and IFSR reporting on company performance. Company characteristics are measured using the board of commissioners, audit committee, industry type and company size, internet financial sustainability reporting (IFSR) is a type of voluntary expression, while company performance is measured using net profit margin (NPM). The research sample was 35 companies during 3 years of observation selected using purposive sampling, and the analysis technique used linear regression. The research results show that the board of commissioners and audit committee influence the company's performance, while the type of industry, internet financial and sustainability reporting and company size do not influence the company's performance.
The Influence Of Motivation And Training On The Productivity Of Sales Representatives At Pt Arista Mitra Lestari, West Java, With Competence As A Mediating Variable
Authors: Hendriana Didin , Hadiwijaya Dudung , Mutaqijm M.Imam
Published: May 2024

This research aims to analyze the influence of motivation and training on productivity, with competence as a mediating variable. The research type employed is explanatory research, using the survey explanatory method with a quantitative approach. The sample consists of 99 respondents, namely sales representatives at PT. Arista Mitra Lestari, Region 3 Cirebon, West Java. The sample was selected using purposive sampling. Data analysis method employed Structural Equation Modeling-Partial Least Square (SEM-PLS), and the software used is SmartPLS 3.00. The research results indicate that motivation significantly influences competence. Training significantly influences competence. Motivation significantly influences productivity. Training significantly influences productivity. Competence significantly influences productivity. Motivation significantly influences productivity mediated by competence. Training significantly influences productivity mediated by competence. The conclusion of this research has implications for PT. Arista Mitra Lestari, Region 3 Cirebon, West Java, in improving the performance of its sales representatives. PT. Arista Mitra Lestari is encouraged to enhance motivation and training to boost the productivity of sales representatives, with competence playing a crucial role in increasing the sales of products in PT. Arista Mitra Lestari, Region 3 Cirebon, West Java
The Demographical Analysis of Indonesian Young Adults' Financial Anxiety
Authors: Ramadhani Abbya Pratiwi , Faturohman Taufik
Published: May 2024

This study aims to understand what causes financial anxiety among Indonesian Young Adults in terms of demographical. A survey from 400 respondents was collected through an online questionnaire from July to August 2023 and analyzed using descriptive statistics, and continued by using Kruksal Wallis and Mann Whitney U to test whether there is a statistically significant difference between two or more independent variables. The result of this study found that there are no significant differences in gender and income in financial anxiety, but there are significant differences in educational level and occupation in financial anxiety. Individuals with only a high school degree as their educational background, and unemployed individuals have higher levels of financial anxiety than other groups.
PIJAT OKSITOSIN PADA IBU NIFAS UNTUK PENINGKATAN PRODUKSI ASI DI PMB NAZRIWATI, S.Tr.Keb
Authors: Selawati Selawati , Lestari Nurul Aulia Devy
Published: May 2024

The puerperium is an important period, as the risk of maternal and infant morbidity and mortality increases during this period. Hemorrhage is the leading cause of maternal death worldwide and most occur before 24 hours postpartum. Therefore, the birth attendant must ensure that the uterus contracts properly, so that bleeding does not occur. The postpartum period is influenced by many factors, one of which is socio-cultural. Indonesia is a country consisting of various tribes and cultures that have their own health traditions. Not all existing traditions have a bad effect on health but there are also some that have a positive impact on health. Efforts to assist and therapy to shape the coping skills of postpartum women are with complementary therapy. Complementary therapy is a therapy that is used as a companion in conventional therapeutic efforts that a person has done. This type of research is descriptive by applying a case study approach. The implementation of this research was carried out at the PMB Nazriwati, S.Tr.Keb on Mrs. W by providing complementary health education education for mothers in the postpartum period
El Papel de Enfermería Comunitaria en la Atención del Adulto Mayor
Authors: Montalvo Barrera Leonardo , Herrera Paredes José Manuel
Published: May 2024

En México, actualmente se presenta un cambio demográfico en la población, caracterizándose por la inversión de la pirámide poblacional; esta situación trae consigo múltiples desafíos; entre ellos, el aumento de la esperanza de vida que conlleva a cubrir mayores necesidades de salud y de atención en sus diversas esferas en adultos mayores. A razón de ello, es necesario reflexionar sobre la calidad de vida y la capacidad instalada con la que cuenta el sector salud para brindar una atención integral. Desarrollo: Las estadísticas muestran un alza en la demanda hospitalaria. Por tal motivo, se evalúa una necesidad de nuevos modelos de atención, donde la enfermería comunitaria o domiciliaria brinde estos cuidados y no requiera mayores recursos para garantizar un estado óptimo de salud. Por otro lado, el adulto mayor debe contar con la mayor autonomía posible para el desarrollo de sus actividades de la vida diaria. Conclusión: La atención de enfermería en el hogar está determinada como el conjunto de cuidados y actividades biopsicosociales que el personal de enfermería debe de cubrir basándose en enfoques desde la promoción, prevención, cuidado y tratamiento.
PRESERVANDO HISTORIAS: ANÁLISIS Y ESTRATEGIAS PARA LA CONSERVACIÓN DEL EDIFICIO DEL COLEGIO BOLÍVAR, AMBATO, ECUADOR
Authors: Arias Salazar Daicy Paola , Córdova Cruz Byron René , Fiallos Condo Jéssica Tatiana
Published: May 2024

El manuscrito “Preservando Historias: Análisis y Estrategias para la Conservación del Edificio del Colegio Bolívar, Ambato, Ecuador” examina la importancia de conservar el patrimonio arquitectónico del Colegio Bolívar, resaltando su relevancia histórica y cultural para la comunidad local y nacional. Los resultados destacados comprenden un análisis detallado del estado actual del edificio, identificando áreas de deterioro y riesgo, junto con la evaluación de técnicas de conservación adecuadas para su preservación a largo plazo. Además, se abordan los aspectos sociales, económicos y políticos relacionados con la conservación del patrimonio arquitectónico en el contexto específico de Ambato. Las conclusiones principales resaltan la necesidad de implementar medidas de conservación y restauración para evitar la pérdida irreversible de este importante monumento histórico. Se enfatiza la necesidad de involucrar a la comunidad local, autoridades gubernamentales y otras partes interesadas en el proceso de conservación para garantizar su éxito a largo plazo. La colaboración activa y el compromiso de todas las partes son cruciales para preservar no solo la estructura física del edificio, sino también las historias y la identidad cultural que representa para las generaciones presentes y futuras. Tomando en consideración que es importante preservar una estructura de valor patrimonial por su capacidad para preservar la historia, la cultura y la identidad de una sociedad, proporcionando un vínculo tangible con el pasado y fortaleciendo el sentido de pertenencia de las personas a su entorno.
Libro de Memorias Científicas del 1er Congreso Internacional Educadores 5.0: Educando para el Futuro
Authors: Ortega Rolando
Published: May 2024

Es un placer y un honor presentar las memorias del Primer Congreso Internacional Educadores 5.0: “Educando para el Futuro”. Este congreso, de carácter abierto y multidisciplinario, se convirtió en un espacio de encuentro único donde profesionales, educadores e investigadores de diversas áreas del conocimiento se reunieron para reflexionar, compartir experiencias y explorar las nuevas fronteras de la educación en el siglo XXI. La educación está en constante evolución, enfrentando desafíos y oportunidades sin precedentes en un mundo cada vez más globalizado y tecnológicamente avanzado. El congreso “Educando para el Futuro” surgió como respuesta a la necesidad de repensar y transformar los enfoques educativos tradicionales, adaptándolos a las demandas y exigencias de la sociedad actual. Este libro recopila las ponencias, investigaciones y reflexiones presentadas durante el congreso, ofreciendo una visión integral y actualizada de las tendencias, innovaciones y mejores prácticas en el ámbito educativo. Las contribuciones abarcan una amplia gama de temas, desde las metodologías pedagógicas más innovadoras, el uso de la tecnología en el aula, la formación docente, hasta las estrategias para fomentar la inclusión y la equidad educativa. Cada capítulo de este libro representa un valioso aporte al conocimiento y a la práctica educativa, y refleja el compromiso y la pasión de los participantes del congreso por mejorar la calidad y la relevancia de la educación en nuestros tiempos. Invitamos a los lectores a sumergirse en estas memorias, a inspirarse con las ideas y propuestas presentadas, y a ser parte activa de este movimiento transformador que busca educar para un futuro más inclusivo, sostenible y equitativo.
Inovação ambiental e produtividade nos setores da indústria brasileira
Authors: Hecksher Marcos Dantas , Féres José Gustavo , Cavalcante Eric Jardim
Published: May 2024

A chamada hipótese de Porter sugere ser possível conciliar avanços na regulação ambiental com ganhos de produtividade. Testá-la empiricamente com dados brasileiros é um dos objetivos da agenda de pesquisa cujos primeiros resultados são apresentados neste artigo. Dados de 37 setores observados na Pesquisa de Inovação (Pintec) e na Pesquisa Industrial Anual (PIA) indicam correlações positivas e estatisticamente significativas entre o nível de produtividade e o nível ou a variação recente do percentual de empresas que realizam inovações com alto impacto em favor do meio ambiente.
A Experiência do leilão H2Global e boas práticas para o PNH2
Authors: Siffer Nelson , Rocha Katia Maria Carlos
Published: May 2024

O objetivo deste artigo é valer-se da experiência do leilão H2Global, enquanto política pública que faz uso de mecanismos competitivos, para: i) disseminação de conhecimento entre potenciais interessados brasileiros na participação do certame; ii) motivação da reflexão por parte dos gestores públicos em torno da análise de eventual necessidade de políticas públicas para apoiar a participação de um consórcio brasileiro; e iii) conscientização sobre a importância da adoção de mecanismos competitivos e de garantia da demanda em eventuais estratégias nacionais para o desenvolvimento do mercado de hidrogênio verde.
Challenges and Experiences of the Teachers during the Face-to-Face Transition and their Performance
Authors: Joy P. Abaño Christine , Aranguren Daisy L.
Published: May 2024

This study was purposely conducted to study the challenges and experiences of the teachers during the face-to-face transition and their performance. Specifically, this study attempted to answer the profile of the respondents in terms of age, gender, educational attainment, years in service, and number of trainings, the perception of the teacher respondents in terms of challenges during the face-to-face transition classes as to health protocols, pupils’ behavior, learning gaps, and instruction, the perception of the teacher respondents based on the experiences during the face- to-face transition classes in terms of stress, work overload, and time management, and the level of the performance of teachers during the face-to-face transition classes in terms of content knowledge and pedagogy, learning environment and diversity of learners, curriculum and planning, assessment and reporting, personal growth and professional development, and plus factor. The study also utilized a descriptive correlational study to examine the relationship between the teachers’ challenges and experiences and their performance and the difference between the teachers’ challenges and experiences and their performance when grouped according to profile. The respondents were 100 elementary teachers of Fule Almeda District in the Division of San Pablo City. The relationship between the teachers’ challenges and experiences was significant to their performance. However, there is no significant relationship between learning gaps and instruction relation to curriculum and planning; between learning gaps and instruction to assessment and reporting; and between health protocols, leaning gaps, instruction, and stress to plus factor. There are significant differences in the perceived challenges in terms of health protocol, pupils’ behavior, and learning gap, experience in terms of stress, and teachers’ performance in terms of learning environment and diversity of learners when grouped according to age. There is a significant difference in the perceived challenges in terms of pupils’ behavior when grouped according to highest educational attainment. There are significant differences in the perceived challenges in terms of health protocol and the teachers’ performance in terms of learning environment and diversity of learners when grouped according to the years in service. It is proposed to create responsive programs towards the challenges and experiences of teachers for more improvement of teaching quality and enhancement of the learning gaps of the pupils.
Carbon Footprint and Life-cycle Cost of Maize (zea mays l.) Production at Conventional and Regenerative Agricultural Practices.
Authors: Ibni Zamir Shahid , Elahi Mehboob , Sami Ullah Muhammad , Mehmood Faisal
Published: May 2024

This research aimed to evaluate the carbon footprint and life-cycle costs of grain maize production between conventional and regenerative agriculture practices. The material for the analyses was data from 2022–23 collected on Al-Rehman Dairy farms located in the Dunyapur region and growing maize for grain in two ways: conventional, and Regenerative (No-Till). The life-cycle assessment and life-cycle costing methodologies were applied to assess the GHG emissions and costs associated with the grain maize production in the stages from “cradle-to-farm gate”, i.e., from obtaining raw materials and producing means for agricultural production, through the processes of maize cultivation to grain harvesting. The SOC concentrations under NTS in the 0–15 cm soil layer and under NT in the 15–30 cm layer were significantly greater compared with those under CT. In the 15–30 cm soil layer, the SOC concentration under NT was higher than under CT. The difference in SOC content for the different soil depths between CT and NT was similar to the trend observed in the SOC concentration. NT produced a significantly higher SOC content in the 15–30 cm soil layer than the CT system and compared with CT in the 15–30 cm soil layer. The largest source of GHG emissions was the use of nitrogen fertilizers. Non-inversion tillage with rice straw mulch and leaving a large amount of crop residues in the field increased the sequestration of organic carbon and contributed to a significant reduction of the carbon footprint in maize production. The conventional tillage system demonstrated the highest overall life-cycle costs per hectare.
The InBIO Barcoding Initiative Database: DNA barcodes of Portuguese moths
Authors: Ferreira Sónia , Corley Martin , Nunes João , Rosete Jorge , Vasconcelos Sasha , Mata Vanessa , Veríssimo Joana , Silva Teresa , Sousa Pedro , Andrade Rui , Grosso-Silva José Manuel , Pinho Catarina J. , Chaves Cátia , Martins Filipa MS , Pinto Joana , Puppo Pamela , Muñoz-Mérida Antonio , Archer John , Pauperio Joana , Beja Pedro
Published: May 2024

The InBIO Barcoding Initiative (IBI) Dataset - DS-IBILP08 contains records of 2350 specimens of moths (Lepidoptera species that do not belong to the superfamily Papilionoidea). All specimens have been morphologically identified to species or subspecies level and represent 1158 species in total. The species of this dataset correspond to about 42% of mainland Portuguese Lepidoptera species. All specimens were collected in mainland Portugal between 2001 and 2022. All DNA extracts and over 96% of the specimens are deposited in the IBI collection at CIBIO, Research Center in Biodiversity and Genetic Resources.

The authors enabled "The InBIO Barcoding Initiative Database: DNA barcodes of Portuguese moths" in order to release the majority of data of DNA barcodes of Portuguese moths within the InBIO Barcoding Initiative. This dataset increases the knowledge on the DNA barcodes of 1158 species from Portugal belonging to 51 families. There is an increase in DNA barcodes of 205% in Portuguese specimens publicly available. The dataset includes 61 new Barcode Index Numbers. All specimens have their DNA barcodes publicly accessible through BOLD online database and the distribution data can be accessed through the Global Biodiversity Information Facility (GBIF).
Recent changes in tropical-dry-forest connectivity within the Balsas Basin Biogeographic Province: potential effects on endemic-bird distributions
Authors: Galindo-Cruz Alejandra , Sahagún-Sánchez Francisco Javier , López-Barrera Fabiola , Rojas-Soto Octavio
Published: May 2024

Maintaining landscape connectivity is a conservation priority for biodiversity as it may mitigate the adverse effects of forest degradation, fragmentation, and climate change by facilitating species dispersal. Despite their importance for biodiversity conservation, Mexican tropical dry forests (TDFs) face high fragmentation rates due to anthropogenic activities. In this study, we analyzed the connectivity dynamics of TDFs in the Balsas Basin Biogeographic Province (BBBP) between 2013 and 2018, focusing on old-growth and secondary TDF covers, including Protected Areas and Important Bird Areas. We evaluated the effects of connectivity loss and gain on the distribution areas of 30 endemic bird species with ecological associations with TDFs in the BBBP. We found expansion in TDFs accounting for a total increase of 227,905 ha due to secondary forest increase (12%). In contrast, old-growth forests experienced a reduction of 66,576 ha in the study area (8%). We also found a decrease in areas with high and very-high connectivity, coupled with an increase in low connectivity, except for TDFs inside Protected Areas, which increased by 3,000 ha, leading to higher connectivity. There was an increase in total forest cover in 27 species’ potential distribution, highlighting the possible role of secondary forests in promoting connectivity between old-growth forest patches. Our results reveal the complex dynamics between forest types, connectivity, and bird-species distributions. Despite an overall increase in forested areas, most TDFs continue to have low connectivity, likely impacting biodiversity, particularly for species that rely on highly conserved ecosystems. This study underscores the importance of integrated conservation strategies considering connectivity, forest recovery, and the dynamics of species-ecosystem interactions.
Colonization record of the Galápagos’ vertebrate clades: Biogeographical issues plus a conservation insight
Authors: Ali Jason R. , Fritz Uwe
Published: May 2024

Abstract

Our focus is the colonization history of the Galápagos’ vertebrate clades: 11 land-bound groups (eight reptiles, three rodents) and 13 taxa of flyers and swimmers (ten winged birds, two pinnipeds, one penguin). Using ‘colonization intervals’ and ‘colonization profiles’, it is clear that the two sets of taxa assembled very differently. The former includes older clades with between one, and potentially eight, predating the emergence of the oldest island (4 Mya). For the origin of some lineages, now-sunken landmasses associated with the Galápagos mantle-plume hotspot must have been involved, but for others it could reflect taxonomic uncertainties. In contrast, the taxa of flyers and swimmers are markedly younger, indicating either higher rates of colonization and extirpation for these sorts of animal, or continued genetic influx from mainland populations, or some combination of both factors. Concerning the first, possible drivers are the environmental stressors associated with the El Niño–La Niña climate system; the recent clades may be vulnerable to extreme events within the oscillation sequence, perhaps on ≥104-year timescales. Therefore, loose temporal thresholds might exist for the archipelago’s vertebrate groups beyond which selection fortifies them from the most challenging of seasonal states. Moreover, in a world of climate uncertainty, the findings appear relevant to conservation initiatives suggesting a focusing on the younger elements within the Galápagos’ biota.
On the enigmatic jumping spider genus Ogdenia Peckham, 1908 (Araneae, Salticidae, Chrysillini)
Authors: Yang Zhiyong , Hoang Quang Duy , Wang Weihang , Maddison Wayne P. , Zhang Junxia
Published: May 2024

The monotypic genus Ogdenia Peckham, 1908, is redefined based on the redescription of the holotype of O. mutilla (Peckham & Peckham, 1907), along with the newly discovered male specimens and intraspecific variation from China, Malaysia, Singapore, and Vietnam. Description, illustrations, and photographs are provided.
Podemos, Sumar and the return of Eurocommunism: the real, the radical and the populist left
Authors: Agustín Óscar García
Published: May 2024

Is it possible to create a majoritarian left without lapsing into reformism? Given that Eurocommunism was marked by serious limitations in the past, why is it still relevant to think about it? This article argues that Eurocommunism represented an attempt to create and own the necessary
political space to advance socialism in liberal democracies, and to search for ways of building a counterhegemonic project within civil society (which would imply cross-class alliances and a subject of change larger than the working class). The approach adopted by the Spanish left in a number
of specific moments in its past reflects the difficulties of a project to shape a political space to the left of social democrac y in modern liberal democracies. This is why Eurocommunism continually resurfaces in contemporary left debate and serially reproduces confrontational positions between
reformists and ‘real’ leftists or revolutionaries. What began as a preliminary attempt to re-assess the positions of the left during the transition to liberal democracy returned to debate after 2010, at a time when several fractions and political leaderships were competing to define
the way to develop left politics. First the Spanish Communist Party (PCE), and then Izquierda Unida (United Left, IU), Podemos and Sumar have been drawn into debates on how to construct a counter-hegemonic project or build a democratic majority; positions on these questions have been a way
of defining their parties, an d the basis for splits inside them This article discusses the PCE, IU, Podemos, Unidas Podemos and Sumar in the light of these recurring themes. Eurocommunism typically figures in these battles as a stand-in for reformism. The problem, however, is not these disagreements
per se, but an apparent inability to find a way to widen the space of the left to accommodate pluralism. It is difficult to imagine how positions can be consolidated given the perpetual conflicts in the left bl oc. Regardless of whether the goal is democratic socialism, and the subject the
people as a whole or the workers, attempts to expand the political space of the left, in a representative and participatory sense, will not be achieved through narrowing the internal space of organisation and debate. The left is more likely to be able to shape its narrative for thinking about
the past and dealing with the future by learning from past successes and mistakes. Eurocommunism functions as a reminder of the challenges of forging a left project aiming to govern and become hegemonic. Reproducing the logics that create enemies within the left has not been an efficient strategy
for expanding the political space.
Reflections on Eurocommunism in the UK
Authors: Davison Sally
Published: May 2024

Eurocommunism could not save the CPGB, but the concept of the broad democratic alliance still has importance The attraction of communism in the 1970s was its strong commitment to challenging the whole system rather than finding ways to manage capitalism. This was a decade in which
there was a real struggle to hold on to, and even develop further, the achievements of the postwar settlement. At that point we sometimes thought we were winning, and joining an anti-capitalist party was a way of expressing this optimism. By the mid-1970s, Eurocommunism was making communism
much more attractive to people of my generation. Eurocommunist parties were breaking away from their subordination to the Soviet party, and starting to base their strategies on the political realities of Western Europe; their belief in democracy had finally won out over their ingrained loyalty
to the Soviet state. In the UK discussions were beginning on a new version of The British Road to Socialism (BRS), which, after many battles, adopted the notion of a broad democratic alliance for change. There was also the beginnings of an expanded sense of what constituted politics, one of
many important ideas that had come from Gramsci. However, the embrace of Eurocommunism did not turn out to be the salvation of the CPGB, which voted to close itself down in 1991. The most important factor leading to its dissolution was the changing nature of the working class and the decline
of the organised labour movement within the UK ‐ itself a symptom of the wider, victorious, neoliberal counter-offensive. The other European communist parties, Eurocommunist or not, are now for the most part in decline. But some of the ideas that Eurocommunists in the UK were trying
to develop remain of relevance. These include its early attempts to recognise new political subjects within the public realm, and the importance of forming alliances across difference. Rock Against Racism, the Greenham Common Women’s Peace Camp, the GLC under Ken Livingstone’s
leadership, and the creative ways in which community support for the NUM was mobilised in 1984-5, are examples of the kinds of politics we supported.
Emergency thinking
Authors: McRobbie Angela
Published: May 2024

Lyndsey Stonebridge, We Can Change the World: Hannah Arendt’s Lessons in Love and Disobedience, Jonathan Cape 2024
Google Search Trends to Assess Public Interest and Concern About Pegcetacoplan for the Treatment of Geographic Atrophy
Authors: Mansour Hana A. , Xu David , Cohen Michael N. , Deaner Jordan D. , Hsu Jason , Yonekawa Yoshihiro , Orlin Anton , Sivalingam Meera D. , Sridhar Jayanth , Kuriyan Ajay E.
Published: May 2024

Objective:

To assess global trends in interest surrounding the newly Food and Drug Administration (FDA)-approved treatment for geographic atrophy, (GA), Syfovre (pegcetacoplan), and related searches.

Methods:

We utilized Google Trends, in order to gauge the public interest in Syfovre from October 16, 2022, to October 8, 2023.

Results:

Notable spikes in relative search volumes (RSV)s for “Syfovre” were observed in mid-to-late February 2023, and in March and April 2023, coinciding with the drug's FDA approval and introduction to the market. Of the various side effects, retinal vasculitis garnered the most significant attention, with a sharp rise in RSV in mid-July 2023. Geographic variation was evident, with the highest RSVs for “Syfovre” originating from users on the East Coast.

Conclusion:

Google Trends proves to be a useful tool for gaining insight into public interest in pegcetacoplan as a treatment for GA.

[
Ophthalmic Surg Lasers Imaging Retina
2024;55:452–460.]
Vitreoretinal Lymphoma Masquerading as Central Serous Chorioretinopathy
Authors: Sadhar Birkaran , Yarkoni Amanda G. , Patel Kush K. , Mantopoulos Dimosthenis , Milman Tatyana , Shields Carol L. , Fine Howard F.
Published: May 2024

The following is a case of vitreoretinal lymphoma masquerading as central serous chorioretinopathy (CSCR). A 74-year-old man presented with blurred vision in the left eye with unilateral subretinal fluid in the setting of exogenous corticosteroid use, which was diagnosed as CSCR and resolved with corticosteroid cessation. He later experienced a similar self-limited episode in the right eye. Subsequently, he developed bilateral vitritis with yellow-white subretinal pigment epithelial infiltrates. Vitreous biopsy confirmed a diagnosis of large B-cell lymphoma. Vitreoretinal lymphoma can masquerade as a number of ocular pathologies, including CSCR.

[
Ophthalmic Surg Lasers Imaging Retina
2024;55:467–470.]
Characterization of sago starch-based degradable plastic with agricultural waste cellulose fiber as filler
Authors: Dewi Rozanna , Sylvia Novi , Zulnazri  , Riza Medyan , Siregar Januar Parlaungan , Cionita Tezara , Kusuma Budhi Santri
Published: May 2024

Sago starch and cellulose fiber can be used as a raw material for making degradable plastics to replace commercial plastics. This research used corn cob fiber and sugarcane bagasse fiber as filler to improve the properties of degradable plastic. The research method consists of several stages, cellulose fiber preparation, degradable plastic synthesis and plastic characterization. The result showed tensile strength of plastic with corn cob and sugarcane bagasse filler was 6.37–11.5 MPa and 9.70–16.47 MPa, respectively. The compound composition test through Fourier Transformation Infra-Red (FTIR) exhibited hydrophilic behavior, hence plastic easily degraded by soil. Differential Scanning Calorimetry (DSC) shows that degradable plastic with corn cob fiber filler denoted a melting point of 163.84 ℃, while sugarcane bagasse fiber filler at 163.47 ℃. Thermogravimetric Analysis (TGA) analysis indicated degradable plastic had a good thermal stability. Scanning Electron Microscopy (SEM) exhibited few white lumps and indentations on the surface, indicating that the solubility was not homogeny and could be due to the influence of stirring process. In term of ability to absorb water, both plastic with fiber filler had a small water absorption with a range of 5–6%. Melt Flow Rate (MFR) analysis of degradable plastics with corn cob fiber and sugarcane bagasse pointed the value that was suitable for injection molding processing technique. The degradation of both plastics ranged about 50–85 days to completely decomposed naturally in soil, as supported by FTIR analysis.
Bifurcation and chaos in simple discontinuous systems separated by a hypersurface
Authors: Hosham Hany A. , Alharthi Thoraya N.
Published: May 2024

This research focuses on a mathematical examination of a path to sliding period doubling and chaotic behaviour for a novel limited discontinuous systems of dimension three separated by a nonlinear hypersurface. The switching system is composed of dissipative subsystems, one of which is a linear systems, and the other is not linked with equilibria. The non-linear sliding surface is designed to improve transient response for these subsystems. A Poincaré return map is created that accounts for the existence of the hypersurface, completely describing each individual sliding period-doubling orbits that route to the sliding chaotic attractor. Through a rigorous analysis, we show that the presence of a nonlinear sliding surface and a set of such hidden trajectories leads to novel bifurcation scenarios. The proposed system exhibits period-$ m $ orbits as well as chaos, including partially hidden and sliding trajectories. The results are numerically verified through path-following techniques for discontinuous dynamical systems.
The Evolution of Entrepreneurship in the Age of AI
Authors: Singh Amit Kumar , Taterh Swapnesh , Mitra Uddalak , Singh Yudhveer
Published: May 2024

This chapter delves into the profound transformations that entrepreneurship has undergone in the era of artificial intelligence (AI). As advanced AI systems continue to disrupt industries and redefine business landscapes, entrepreneurs are faced with both unprecedented opportunities and challenges. Through a historical lens, this chapter traces the evolution of entrepreneurship in the age of AI, exploring the ways in which AI technologies have shaped and continue to shape entrepreneurial endeavors. It also highlights key trends, strategies, and ethical considerations essential for entrepreneurs navigating this AI-driven landscape.
Developing Industry 4.0 Smart Parking Through Deep Learning and IoT-Based for Electric Vehicle
Authors: Ben Arab Marwa , Rekik Mouna , Krichen Lotfi
Published: May 2024

Object detection is central to computer vision, drawing significant attention lately. Deep learning techniques shine for their precision, robustness, and speed. Their integration into Industry 4.0 is widely recognized, especially in AI-powered smart parking systems. This fusion is swiftly advancing, bolstering Industry 4.0 smart parking management and security. This chapter introduces a comprehensive framework presenting both software and hardware components, along with a mixing methodology, to enhance industry smart parking through detecting electric vehicles. The foundation of this approach lies in the application of deep learning, specifically utilizing the YOLOv3 methodology. In addition, the internet of things (IoT) is leveraged, employing a Raspberry Pi4 platform. The methodology for the development and execution of the system is outlined step by step to provide a clear understanding. This integrated solution showcases the detailed practical implementation. As a result, the detection of two vehicles has achieved confidence scores exceeding 0.7.
Python-Powered Remote Sensing Data
Authors: Raza Aamir , Maqbool Sheraz , Safdar Muhammad , Ali Hasnain , Ullah Ikram , Akbar Ali , Williams Avery , Al Ansari Mohammed Saleh , Ahmed Mubashir , Abbas Awn , Malik Abdul
Published: May 2024

Remote sensing is a crucial technique in environmental and spatial investigations, and Python is a popular programming language for analyzing this data. This chapter provides a comprehensive guide to using Python for remote sensing data analysis, covering various data types, attributes, and practical implementations. It introduces Python and its data processing libraries, discusses preprocessing operations like data conversion and import, geometric rectification, and radiometric correction, and covers image enhancement techniques like edge detection, contrast enhancement, and filtering. It also covers image analysis techniques like band mathematics, indices, classification, and segmentation. The chapter also covers exporting data and generating visualization maps and charts. Python's application in remote sensing data analysis is illustrated through case studies.
Python Library for Road Network Analysis in the Case of Debre Berhan City
Authors: Gedefa Tesfaye Fufa , Lemma Tsegaye D. , Eshetu Wondwossen Mindahun , Galety Mohammad Gouse
Published: May 2024

This study employs the Python library for road network analysis in the Debre Berhan Metropolitan City, focusing on determining the best route, shortest path, road types, length in km, and speed limit in km/h. Geopandas is utilized to visualize the road network data, enabling the calculation of the shortest path and extraction of road type and speed limit information. Network analysis libraries like,folium, NetworkX convert the data into a graph representation, using algorithms like Dijkstra's or A* to find the shortest path based on distance or travel time. Geopandas then overlays road segments on a map, highlighting the shortest path and indicating road type, length, and speed limit, offering a robust framework for assessing and optimizing the road network in urban areas and contributing to the effective management and enhancement of transportation infrastructure.
Deep Learning Approach to Estimate the Maize Yield Prediction Using Data From Cameroon
Authors: Claver Jimbo Henri , Perin Nagueu Djambong Lionel , Thomas Bouetou , Paul Tchoua
Published: May 2024

Corn cultivation plays a crucial role in the Cameroon's food production, providing an important source of food and income for many farmers. However, climatic variability and unstable agricultural conditions can have a significant impact on the yield of agricultural products in general and that of maize in particular; accurately predicting these yields in different regions of Cameroon remains a difficult process due to the uncertain evolution of climatic data.. This is where deep learning comes in, a powerful approach to analyzing large amounts of data and generating predictive models. This study aims to estimate maize yield forecasts in Cameroon using geospatial climate data parameters such as temperature, precipitation, wind speed and sun exposure as well as agricultural data. The study results, based on performance evaluations of o GRU model, have 24751 in 200 epochs for GRU, a mean absolute percentage error (MAPE) of 237%, and a root mean square error (RMSE) of 518 for GRU, which demonstrates the effectiveness of the deep learning approach in predicting corn yield.
Advancing Cybersecurity
Authors: Dwivedi Dwijendra Nath , Mahanty Ghanashyama , Khashouf Shafik
Published: May 2024

This chapter presents an innovative approach to cybersecurity by applying anomaly detection techniques to network and system data. The study uses a comprehensive dataset from simulated network environments to analyze various attack scenarios and evaluate classification algorithms. The approach uses an ensemble model to achieve superior detection accuracy and integrates feature importance analysis. The findings show that the proposed anomaly detection framework not only identifies known attack types but also detects novel threats, underscoring its potential as a pivotal tool in cybersecurity. This research paves the way for a new era in cybersecurity. These findings reveal that the proposed anomaly detection framework not only achieves high accuracy in identifying known attack types but also exhibits robustness in detecting novel threats, thereby underscoring its potential as a pivotal tool in the cybersecurity arsenal. This chapter advocates for a paradigm shift towards proactive threat identification, emphasizing the critical role of anomaly detection in fortifying network defenses against the ever-increasing sophistication of cyber-attacks.
Adversarial Defense Mechanisms for Detecting and Mitigating Cyber-Attacks in Wireless Sensor Networks
Authors: Umeshbhai Patel Janit , Kanubhai Panchal Yash , Bilal Shaikh Mohammed , Verma Shanti
Published: May 2024

This chapter introduces ML-Defend, a novel defense mechanism tailored for detecting and mitigating cyber-attacks in wireless sensor networks (WSNs). By combining support vector machines (SVMs) for anomaly detection and convolutional neural networks (CNNs) for classification, ML-Defend harnesses the complementary strengths of these algorithms. This hybrid approach significantly enhances the system's ability to detect and mitigate cyber threats, thereby bolstering the security of WSNs. Through simulations and experiments, the authors demonstrate the efficacy of ML-Defend in accurately identifying and neutralizing attacks while minimizing false positives. This amalgamation of SVMs and CNNs presents a promising avenue for bolstering the cyber-defense capabilities of wireless sensor networks, ensuring their resilience against evolving threats in dynamic environments.
Adversarial Learning for Intrusion Detection in Wireless Sensor Networks
Authors: Kalyanaraman Swaminathan , Ponnusamy Sivaram , Saju S. , Sangeetha S. , Karthikeyan R.
Published: May 2024

In the vital domain of wireless sensor networks (WSNs), which play an essential role in monitoring and data collection across diverse environments, safeguarding against cyber threats is of paramount importance. To address this challenge, this study unveils a pioneering system named “SecureNet.” This system employs the innovative technique of adversarial learning through Generative Adversarial Networks (GANs), enriched with a cutting-edge machine learning method known as deep learning, to bolster intrusion detection capabilities. Essentially, SecureNet operates by initiating a continuous competitive scenario between two deep learning models: one is designed to generate synthetic data that simulates cyber-attacks, while its counterpart focuses on identifying and distinguishing these simulated attacks from real threats. This relentless competition not only enhances SecureNet's proficiency in recognizing actual cyber-attacks.
Cloud-Based Data Analytics for Autonomous Vehicle Performance Using Neural Networks
Authors: Devi Delshi Howsalya , Santhosh Kumar P. , Aruna M. , Sharmila S.
Published: May 2024

By utilizing powerful analytical tools and remote computing capabilities, cloud-based data analytics significantly improve the operational efficiency of autonomous cars. Under this model, sensor readings, position data, and system diagnostics among the massive volumes of data produced by autonomous vehicles are sent to a cloud network for immediate analysis. This makes it possible to extract insightful information and trends that improve efficiency, safety, and performance of vehicles. Cloud-based methodology provides scalability, which enables smooth management of substantial datasets, and fosters cooperative endeavours in optimizing algorithms and models for self-governing systems. Analysis of information, machine learning algorithms, and communication are important components of this architecture that work together to enable the ongoing development and enhancement of autonomous vehicle capabilities. In the end, this cutting-edge method enables self-driving cars to negotiate intricate situations with improved decision-making skills, resulting in safer and more dependable driving.
Cloud-Enabled Security Adversarial Network Strategies for Public Area Protection
Authors: Khanchandani Mamta P. , Buch Sanjay H. , Verma Shanti , Baskar K.
Published: May 2024

In cloud computing, the consideration of the future of IT enterprise involves the centralized application software and database in large data centers. However, this shift raised security challenges that are not well understood. This study focused on ensuring the integrity of data storage in cloud services. Specifically, it examined a third-party auditor acting on behalf of the cloud client can verify the integrity of dynamics data stored in the cloud. This approach allows a third party to check the client's data without the client's direct involvement, which is crucial for achieving economics of scale in cloud computing methodology. Efficient network data dynamically are achieved by enhanced existing proofs of storage models through manipulation of the Merkle Hash based tree construction for block tag authentication. Additionally, to handle multiple audition of tasks efficiently, the chapter explores the use of bilinear aggregate signatures. This extension allows the TPA to perform multiple auditing tasks simultaneously manner in a multi-user setting.
Enhancing Privacy and Security in Online Education Using Generative Adversarial Networks
Authors: Natarajan Gnanasankaran , Elango Elakkiya , Hanees Ahamed Labbe , Bai Shirley Chellathurai Pon Anna
Published: May 2024

As online education grows in popularity, issues concerning learners' privacy and security have become increasingly important. This chapter delves into the creative use of generative adversarial networks (GANs) to handle the complex difficulties of protecting sensitive information in the online education scene. The chapter opens with a detailed assessment of the present situation of online education. The chapter focuses on the integration of GANs into the online education environment to improve privacy and security. The chapter delves into the technical features of GANs, demonstrating how these networks may be tailored to generate synthetic yet indistinguishable data, reducing the danger of privacy violations. In addition to privacy protection, the chapter investigates the function of GANs in improving the overall cybersecurity posture of online education platforms. Finally, the chapter emphasises Generative Adversarial Networks' transformational potential in altering the privacy and security environment of online education.