bluuebunny/crossref_metadata_2025 huggingface dataset:
La investigación y generación de conocimiento de los profesores y estudiantes de la carrera de Derecho de la Universidad Nacional de Chimborazo
Authors: Mejía Chávez Eduardo Vinicio , Silva Conde Danny Israel , Romero Oviedo Jorge Eudoro , Zurita Avalos Luis Antonio
Published: December 2024

El desarrollo social y económico de un país gira, entre otros aspectos, en torno a la capacidad de sus instituciones de educación superior de ser generadoras de conocimiento, ciencia y tecnología que sean el resultado de la implementación de proyectos de I+D siendo, inclusive, un factor determinante en la estructuración del orden mundial imperante caracterizado por un grupo de países que son productores de conocimiento, con un alto grado de desarrollo científico y tecnológico y un gran bloque de naciones empobrecidas, consumidoras de dicho conocimiento. Bajo esta realidad las universidades ecuatorianas han hecho un notable esfuerzo para contribuir al desarrollo nacional con la ejecución de investigaciones que produzcan conocimiento que contribuya al adelanto de la sociedad y la economía, para lo cual es necesario contar con profesores y estudiantes con habilidades, destrezas y competencias investigativas idóneas. En este ámbito, esta investigación se realizó específicamente en la carrera de Derecho de la Universidad Nacional de Chimborazo (UNACH), indagando acerca de las referidas competencias investigativas de sus docentes y estudiantes, pudiendo concluir que, si bien hay avances notorios en los últimos años, aún persisten falencias entre sus docentes en este ámbito, en tanto que, a nivel estudiantil se destaca positivos esfuerzos y mejoras en los resultados en las actividades investigativas formativas propias de las diferentes asignaturas, cabe anotar que, de manera general, se nota un incremento positivo en el número y la calidad de las generaciones intelectuales, indicadores que podrían mejorar en función  a capacitaciones en temas de manejo de herramientas tecnológicas y redacción de literatura científica.
Sistema nervioso entérico y sus enfermedades
Authors: Andrade Salazar Milton Temistocles , Aguirre Lanchimba Esney Neptali , Cevallos Muñoz Dayana Nicole
Published: December 2024

Esta investigación tuvo como objetivo general dar a conocer los problemas del Sistema Nervioso Entérico de la población en general, difusión que se la realizó por medio de un blog y un video informativo referente al tema; y poder concientizar a la población sobre las enfermedades que perjudican al Sistema Nervioso Entérico. Se ha podido evidenciar que una gran parte de la ciudadanía no tiene conocimiento del tema, por lo cual en esta investigación se ha tomado en consideración el paradigma mixto como es el cuali-cuantitativo; el que permite hacer un análisis de la información y además levantar encuestas. Lo cual permitió recabar información muy importante, y que haciendo uso de la herramienta digital blogger se pudo llegar a un público de entre 18 y 45 años. De la presente investigación se concluyó que el cuerpo humano es altamente susceptible a infecciones que pueden dañar al sistema nervioso entérico.
STRATEGI PENGEMBANGAN HOMESTAY PADA KAWASAN WISATA DIENG DALAM MENDUKUNG WISATA BERKELANJUTAN
Authors: Dziefa Ndaru Yuntafa  , Riandini Ayyd namira , Zahra Rifa tiara , Joy gladness  , Rossi Fetty Nurmala
Published: December 2024

Desa Wisata Dieng Kulon sebuah desa yang terletak di kawasan dataran tinggi Dieng, Kabupaten Wonosobo. Sebagai desa wisata yang dikelilingi berbagai destinasi popular, Dieng Kulon harus memiliki fasilitas pariwisata salah satunya sarana akomodasi wisata. Tujuan penelitian ini yaitu mengidentifikasi bagaimana strategi pengembangan homestay di Desa Wisata Dieng Kulon dalam mendukung pariwisata berkelanjutan. Metode penelitian ini menggunakan deskriptif kualitatif. Data peneitian diperoleh melalui survey lapangan, dan wawancara dengan kelembagaan pariwisata berbasis masyarakat, pihak pengelola homestay, dan wisatawan. Pada penelitian ini juga dilengkapi dengan analisis SWOT. Hasil yang di dapatkan bahwa Kawasan Dieng sudah memehuni 9 Kriteria Homestay ASEAN dengan terpehuninya 9 Kriteria atas akan membuat suatu Kawasan desa wisata yang terus berkelanjutan melalui 3 Prinsip aspek pariwisata keberlanjutan seperti Prinsip aspek lingkungan, Prinsip aspek ekonomi, Prinsip aspek sosial dan budaya. Dilihat dari 3 prinsip diatas homestay berperan penting dalam aspek lingkungan, ekonomi, sosial dan budaya. Sehingga strategi yang digunakan Homestay Pada Kawasan Wisata Dieng Dalam Mendukung Wisata Berkelanjutan adalah strategi SO, yaitu memanfaatkan acara lokal dalam menarik wisatawan untuk menginap di homestay. Promosi media sosial dan platform online membantu wisatawan dalam menemukan dan memilih akomodasi mereka
PERAN MEDIA SOSIAL INSTAGRAM DALAM MEMBANGUN BRAND AWARENESS (STUDI AKUN @lavatourmerapi_Id)
Authors: Samuel Samuel , Febrina Mantiri Anneke , Rizky Rahadian Wildan , Fahrunisa Ake Sita , Saputra Bima , Rahma Fadillah Aulia , Cahyanti Febriella Hawa , Fadhila Affianti Maritza
Published: December 2024

In running a business, building brand awareness towards consumers is very important, because building brand awareness is one way the company can influence consumers to buy their products for the first time, and make these consumers continue to make repeat purchases. The focus of this research is on the use of Instagram social media to build brand awareness for the Lava Tour special interest tour package. This research aims to find out how to use Instagram social media in building brand awareness in local special interest tour packages in the Special Region of Yogyakarta. The approach to this research uses a qualitative descriptive approach to provide depth regarding the use of Instagram in building brand awareness. Data collection was carried out by interviewing Instagram account managers, as well as conducting observations and documentation. The results of this research explain the use of Instagram accounts, from the ten aspects studied that have fulfilled the six factors used in this research as a basis for utilizing social media to build brand awareness, although not optimally.
ANALISIS FITUR DASAR RESOR TERHADAP KEPUASAN PENGUNJUNG DI BUMI KATULAMPA RESORT KABUPATEN BOGOR
Authors: Batubara Rima Pratiwi , Untari Rini , Saleha  , Setiawan Aditya Sugih
Published: December 2024

Penelitian dilakukan untuk mengetahui komponen fitur dasar resor pada Bumi Katulampa Resort & Convention. Hasil penelitian dapat digunakan oleh pengelola sebagai perencanaan manajemen di masa depan sehingga diketahui aspek yang menjadi perbaikan bagi pengelola dalam pengelolaan resor mereka. Penelitian bersifat kualitatif dengan sampel yaitu pengguna resor. Data dianalisis menggunakan analisis deskriptif kualitatif. Hasil penelitian yaitu pada nuansa resor diketahui bahwa resor memiliki ketenangan, perubahan gaya hidup, dan kesempatan untuk relaksasi. Akurasi informasi sangat jelas. Kondisi properti berkonsep pada penyatuan alam dan budaya setempat. Fasilitas properti dianggap tidak memiliki penggunaan teknologi secara signifikan. Lokasi geografi berada pada pinggir kota. Reputasi resor tergolong baik dengan penggambaran keaslian alam dan budaya setempat. Pelayanan rekreasi berupa rekreasi dalam dan luar ruangan. Resor cenderung menyediakan nilai rekreasi. Pelayanan makanan dan minuman dilakukan secara prasmanan. Hasil analisis fitur dasar resort dapat dijadikan acuan bagi pengelola wisata dalam merencanakan anggaran pemenuhan produk wisata sehingga diharapkan produk yang ditawarkan sesuai dengan kebutuhan dan keinginan wisatawan tanpa harus menghilangkan citra dan image pengelola yang ingin dibentuk.
ANALISIS KELAYAKAN PENGEMBANGAN EKOWISATA DI KAWASAN MANGROVE LEARNING CENTRE (MLC) BALUNO, SULAWESI BARAT
Authors: Rita Bulan  , Khasanah Uswatun , Sadikin Pipin Noviati
Published: December 2024

Mangrove Learning Center (MLC) Baluno is one of the tourist destinations in the mangrove area that can be developed with the ecotourism concept. This study aims to calculate the potential value of the supply and the feasibility index of mangrove ecotourism development in the MLC Baluno area. The method was qualitative research. Data collection was carried out through observation, interviews, documentation studies and literature reviews. Data analysis used a modification of the Operational Area Analysis Development Criteria approach - Natural Tourism Attraction Objects (ADO-ODTWA) of PHKA (Forest Protection and Nature Conservation); and Ecotourism Development Criteria of Damanik and Weber’s method. The results of the study showed that the MLC Baluno area has a potential supply value of 2,590 (moderate classification) and is included in the category of being feasible to be developed as an ecotourism area based on the identified feasibility index of 73.89%.
Produtividade do feijão na região Nordeste do Brasil sob condições do cenário climático RCP 4.5
Authors: Almeida Thaywanne Novaes de , Silva Fabrício Daniel dos Santos , Santos Denis Pereira dos , Costa Rafaela Lisboa , Vanderlei Mário Henrique Guilherme dos Santos , Accioly Joao Otavio Alves
Published: December 2024

A maior parte do território do Nordeste do Brasil (NEB) insere-se no clima semiárido, característico de seca e estiagens prolongadas, fatores que influenciam diretamente o rendimento de safras agrícolas. Para o NEB, o Painel Intergovernamental sobre Mudanças Climáticas (IPCC) aponta uma predominância positiva do aumento da temperatura média, ao longo dos próximos anos, que pode ser analisado com base nos cenários de mudanças climáticas. Nesse sentido, o objetivo desse trabalho foi analisar o impacto das mudanças climáticas na produtividade do feijão no NEB, utilizando dados de produtividade disponibilizados pelo IBGE para 73 municípios nordestinos entre 1974 a 2018. Para geração de cenários futuros regionalizados e avaliação dos impactos das mudanças climáticas na produtividade do feijão foi empregada a técnica de downscaling estatístico, para o cenário RCP4.5. Foram utilizados seis modelos climáticos globais que compuseram o quinto relatório do IPCC: o canadense CANESM2, os franceses CNRM-CM5 e IPSL-CM5A-MR, o americano GFDL- ESM2M, o alemão MPI-ESMMR, e o modelo norueguês NORESM1-MS. Por meio dos modelos, observaram-se as áreas do NEB que terão impacto na produtividade, com base no período climatológico de simulações, para os anos de 2011-2040, 2041-2070 e 2071- 2100. As simulações indicaram que a maior parte dos municípios produtores do NEB terá sua produtividade reduzida, como consequência direta da tendência de redução significativa da precipitação acumulada, e de aumento das temperaturas que, por conseguinte, aumentarão a evapotranspiração potencial.
Malformações arteriovenosas cerebrais em pacientes pediátricos: uma revisão de literatura
Authors: Santos Fabiane Cocco Salvadego dos , Bocchi Isadora Garcia , Previato Camila Ferreira Amaral , Silva Guilherme Henrique Oliveira , Rocha Edvalkia Magna Teobaldo da , Silva João Vitor de Araújo , Janeiro Gabriela Campos , Ferreira Camila Busarosco , Wiirzler Luiz Alexandre Marques , Batistela Vagner Roberto , Cuman Roberto Kenji Nakamura
Published: December 2024

As Malformações Arteriovenosas (MAVs) Cerebrais são provocadas por uma alteração na comunicação entre veias e artérias intracranianas, sua incidência é desconhecida, pois muitos casos são subnotificados ou não diagnosticados. O objetivo deste estudo foi realizar uma revisão sistemática da literatura para determinar a incidência e o desfecho dos MAVs cerebrais na pediatria. Foram identificados 236 artigos nas bases de dados, sendo que 32 foram selecionados para leitura na íntegra e após seleção e elegibilidade foram elegíveis 16 artigos. As MAVs Cerebrais na pediatria representam um desafio quanto ao diagnóstico e tratamento, sendo necessários mais estudos sobre a sua ocorrência assegurando a prevenção de eventos hemorrágicos e o tratamento adequado para estes pacientes.
Quantitative determination of rivaroxaban in pharmaceutical formulations by ultra performance liquid chromatography
Authors: Kozanlı Murat , Can Nafiz Öncü
Published: December 2024

Rivaroxaban, which is a factor Xa inhibitor, effectively prevents clot formation in cardiovasculary system. In this study, a novel UPLC method was developed to provide an accurate, sensitive, fast, and reliable way for qualitative and quantitative analysis of rivaroxaban in pharmaceutical dosage forms. Chromatographic separation was achieved using a Phenomenex C18-bonded fused-core silica column (Kinetex® 2.6 μm, 150 mm × 3 mm i.d.). The separation was performed in isocratic mode with a mobile phase consisting of water, acetonitrile, and methanol (55:20:25, v/v/v), at a flow rate of 0.5 mL min-1, a column temperature of 40 °C, and a detection wavelength of 249 nm. The method was validated according to ICH Q2(R1) guideline for linearity, range, LOD and LOQ, accuracy, and precision and was successfully implemented to the analysis of rivaroxaban in tablet formulations.
Pemanfaatan dataset ukuran efek (effect size) untuk membangun alternatif model penelitian
Authors: Putri Rizkiya Anisyah , Yoganingrum Ambar , Febriandirza Arafat , Asmara Indri Juwita , Rezaldi Muhammad Yudhi , Tohari Amin , Prasetyadi Abdurrakhman , Indrawati Ariani , Siagian Al Hafiz Akbar Maulana
Published: December 2024

This study presents survey data from primary research papers containing effect size data and the number of respondents for several variables influencing consumer interest in purchasing electric vehicles. The survey utilized the Meta-Analytic Structural Equation Modeling (MASEM) approach. Data were collected in June 2021 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) to identify 11 valid papers. This survey aimed to collect effect size values, such as path coefficients and standardized regression weights, from each of the eleven papers. The effect size values collected indicate the magnitude of the relationship between the variables: Attitude, Perceived Behavior Control, Subject Norm, Charging Infrastructure, Environmental Concern, Financial Benefit, External Environment, Marketing Mix, Willingness to Pay a Premium, Incentive Policy Measures, and Perceived Value, and their impact on interest in purchasing electric vehicles. The data set stored in this repository can serve as a reference for researchers and policymakers in developing models and examining the relationship between variables influencing electric vehicles adoption.
Dataset VR (virtual reality) laboratorium komputer BRIN 2 di Repositori Ilmiah Nasional (RIN)
Authors: Herdianto Arvy , Prasetyadi Abdurrakhman , Hadi Angga Arvianto
Published: December 2024

The rapid advancement of animation and 3D modeling technology, particularly in virtual reality (VR), has significantly transformed digital interactions. This article discusses the application of VR in computer laboratory simulations for research, experimentation, and data analysis. VR offers interactive 3D visualization, allowing users to view objects and spaces from various perspectives. The research method employed photogrammetry techniques at the BRIN Science and Technology Laboratory in Bandung to gather data. The collected data was then processed using Blender and Unity software, resulting in high-quality 3D models. The VR Lab Computer dataset from BRIN consists of 31 files, including 16 images and 15 3D object models that can be accessed through specific applications. The visualizations produced provide an accurate representation of the laboratory space, equipment, and tools available. The findings of this research indicate the significant potential of VR in education and research, as well as benefits for individuals with physical or geographical limitations. Thus, VR not only enhances the learning experience but also improves the efficiency of repeating experiments.
Enhancing Solar Panels Efficiency: The Impact of Robotic Cleaning and Optimal Trajectory Tracking in the Presence of Disturbances Using Model Reference Adaptive Control
Authors: Abessolo Mindzie Yves , Kenfack Joseph , Ekobo Akoa Brice , Paulin Frederic Ntouba Noé , Njoya Fouedjou Blaise , M. Toche Tchio Guy , Voufo Joseph , Nzotcha Urbain
Published: December 2024

The output power of photovoltaic systems (PV) can be significantly reduced by dust accumulation. Among various cleaning methods, robotic cleaning is currently the most popular choice because it minimizes human effort and reduces the risk of damaging PV cells. However cleaning robots can be impacted by various external disturbances, including wind, rain, lightning, snow,  , and vibrations. Additionally, sensor errors related to slip, position, velocity, acceleration, and varying electrical parameters can also affect their performance.Several methods have been proposed in the literature for tracking the robotic cleaning trajectory of PV systems. Nevertheless, most of these methods struggle in the presence of disturbances and often have prolonged convergence times. This paper aims to propose a Model Reference Adaptive Control system to maintain optimal performance and extend the lifespan of PV panels, minimize power losses, reduce convergence time, achieve optimal tracking of the desired cleaning trajectory amidst disturbances, and decrease the dependence on multiple sensors. In our study, we utililized the iRobot solar panel developed by Aravind et al., which has a power capacity of 250 W and weighs 250 kg. This iRobot can effectively clean approximately 930 solar panels of the Kyocera Solar KC 130 GT module, which measures 1.425 m in length and 0.652 m in width. The iRobot operates for 4 hours, covering an area of 864 m², and can clean a surface area of 0.06 m² in one second. We conducted simulations using the proposed MRAC algorithm in Matlab/Simulink software, comparing the results with those obtained from a Proportional Integral Derivative (PID) algorithm. The results demonstrate that the MRAC approach achieves a shorter convergence time and greater precision in following the desired cleaning trajectory of the robot, even in the presence of disturbances, compared to the PID algorithm.
Enhancing Remote Sensing Image Resolution Using Convolutional Neural Networks
Authors: Supardi Julian , Samsuryadi Samsuryadi , Satria Hadipurnawan , Serrano Philip Alger M. , Arnelawati Arnelawati
Published: December 2024

Remote sensing imagery is a very interesting topic for researchers, especially in the fields of image and pattern recognition. Remote sensing images differ from ordinary images taken with conventional cameras. Remote sensing images are captured from satellite photos taken far above the Earth's surface. As a result, objects in satellite images appear small and have low resolution when enlarged. This condition makes it difficult to detect and recognize objects in remote-sensing images. However, detecting and recognizing objects in these images is crucial for various aspects of human life. This paper aims to address the problem of remote sensing image quality. The method used is a convolutional neural network. The results show the proposed method can improve PSNR and SSIM compared to previous methods
Elemental Mobility and Crustal Contamination of Metabasalts Around Bisnal Area, Karnataka, India with Emphasis on Trace Element Geochemistry
Authors:   Department of Studies in Earth Science, University of Mysore, Manasagangotri, Mysore-570006(KN), India, B.M. Thanmaya , P. Mahantesha. ,   Indian Bureau of Mines, Yeshwanthpur, Bengaluru-560022(KN), India, K.N. Prakash Narasimha ,   Department of Studies in Earth Science, University of Mysore, Manasagangotri, Mysore-570006(KN), India, B.V. Suresh Kumar ,   Department of Studies in Earth Science, University of Mysore, Manasagangotri, Mysore-570006(KN), India
Published: December 2024

The present work includes the study of the metabasalt samples collected from Bisnal village of Bagalkot District, Karnataka which forms the northwest extension of the Hungund Kushtagi (H-K) schist belt, belonging to the Eastern Dharwar Craton (EDC), indicate supper green schist to epidote amphibolites facies of metamorphism. These rocks have also undergone the process of hydrothermal alteration, which is evidenced by the occurrence of pyrite and chalcopyrite in the quartz carbonate veins. These metabasalts show compositional variation from basalts to andesite which is determined by the ratios of Nb/Y vs Zr/Ti and Nb/Y vs Zr/TiO2. The slight enrichment of the LILE and LREE elements with the LREE/HREE ratio (1.70-2.17), the HREE ratio (1.09- 1.13) and the negative Eu/Eu* ratio for all samples with a range of 0.89-0.93 indicates that these rocks have undergone low to moderate fractionation process during crystallization. Elements such as Na, K, Ca and the HFSE elements such as Nb,Th,Zr,Hf, and Ta show slight deviation from their normal values, and the variation in the Ce/Ce* ratios, indicates the elemental mobility and the magma crust interaction process. The Lower values of Ni, Cr and higher ratios of Th/La, than that of the primitive mantle and the Nb/Y ratios to that of the lower crust indicates that these metabasalts have undergone the crustal contamination processes.

Keywords: Metabasalt, Amphibolite, Trace Elements, REE, Geochemistry
Seasonal Variations in Textural Characteristics and Sedimentary Environments of the Gaonkhadi Beach Sediments, Ratnagiri District, West Coast of India
Authors:   Department of Geology, Savitribai Phule Pune University, Pune-411007(MS), India, Bagul Pratiksha P. , Kamble Prafull B. ,   Department of Geology, Savitribai Phule Pune University, Pune-411007(MS), India, Parab Omkar ,   Department of Geology, Savitribai Phule Pune University, Pune-411007(MS), India, Herlekar Milind A. ,   Department of Geology, Savitribai Phule Pune University, Pune-411007(MS), India
Published: December 2024

The seasonal variations in the textural parameters of beach sediments were studied along the Purangad-Gaonkhadi Coast of the Ratnagiri District, Maharashtra, India. During the pre-monsoon (PRM) season, the foreshore sediments comprise fines and to medium sand, while the backshore, raised beach (Berm) and foredune sediments show fine sand characteristics. The PRM foreshore, backshore, raised beach (Berm) and foredune sediments are well-sorted to moderately well-sorted. The foreshore sediments show symmetrical to strongly fine skewed whereas, backshore sediments are fine skewed to strongly fine skewed. The foreshore and backshore sediments in the post-monsoon (POM) season are comprised of coarse-grained sands, whereas raised beach and foredune sediments contain fine-grained sand. The foreshore sediments are poorly sorted to very poorly sorted, while the backshore and raised beach sediments are moderately poorly sorted. The linear discriminant analysis (LDA) plots of the sediments fall in a shallow marine environment, while few fall in a beach shallow environment. The XRF studies indicate a high concentration of 'Fe' in the northern part while it decreases towards the southern part along the beach. The 'Fe' concentration also increases cross-shore from foreshore to backshore. The 'Ti' concentration also shows an increasing trend from the foreshore to the backshore zone. The mudflat samples have indicated the presence of kaolinite, illite, smectite, and chlorite. The concentration of kaolinite and illite is higher than that of smectite and chlorite from north to south in the study area. The waves and currents along the Gaonkhadi Coast of the Ratnagiri District are formed under high energy conditions during the SW monsoon and affected erosion with a strong winnowing process.

Keywords: Grain Size, Linear Discriminant Functions, CM Plots, Depositional Sedimentary Environment, West Coast of India
Ophiostomatoid fungi in Norway
Authors: Solheim Halvor , Hietala Ari M.
Published: December 2024

Ascomycetes in the orders Microascales and Ophiostomatales are generally referred to as the ophiostomatoid fungi. These fungi are adapted to insect transmission and include several important tree pathogens that typically infect wounds visited or created by their insect vectors. The best known represents being the causative agents of Dutch elm disease, Ophiostoma ulmi and O. novo-ulmi. In addition to pathogens, there are also many saprobic ophiostomatoid species that cause blue-stain in sapwood of timber. Due to great morphological similarities of many species, the taxonomy of ophiostomatoid fungi has been confusing, both at species and at higher systematic levels. Bark beetles are the most common vectors of ophiostomatoid fungi. In Norway, only six bark beetles have so far been thoroughly studied with respect to ophiostomatoid fungi and the occurrence of only 22 species has so far been published. This is little compared to the other Nordic countries where totally 18 beetle species have been studied for their fungal associates. Altogether 52 ophiostomatoid fungi are known from the Nordic countries among ca 400 described species worldwide. The purpose of this article is to provide a brief review of ophiostomatoid fungi, with focus on species recorded from Norway.
Ectomycorrhizal Ramaria species in nutrient-poor Fennoscandian conifer forests including a note on the Ramaria botrytis complex
Authors: Bendiksen Katriina , Kytövuori Ilkka , Toivonen Mika , Bendiksen Egil , Brandrud Tor Erik
Published: December 2024

A herbarium revision (2005–2008), and field work by authors (2009–2011) and by several biologists and amateur mycologists (2009– 2014) have been performed to record the species diversity, distribution and ecology of ectomycorrhizal Ramaria species in Fennoscandia. Morphological analysis of more than thousand specimens has been carried out, and ca. 650 representative Fennoscandian specimens have been studied molecularly (nrDNA ITS and part of LSU). To stabilize the nomenclature, 87 relevant type specimensof Ramaria species from Europe and North America have been examined morphologically and molecularly. So far, 46 different species have been identified among Nordic material, and at least 40 of them can be identified morphologically. More than twenty of the species grow in coniferous forests. Less than ten of them are not especially nutrient demanding and prefer boreal, often pine dominated forests. This paper has its focus on the latter group. Descriptions are provided for R. boreimaxima, R. eosanguinea, R. ‘neoformosa sensu Schild’, R. primulina, R. testaceoflava, R. botrytis, R. ‘botrytis coniferous’ and R. ‘rubripermanens sensu Christan2008’. Our study has shown the need for several nomenclatural-taxonomic changes in the group presented here. Only two of the treated species, R. botrytis and R. testaceoflava, have retained traditionally used names. One of the species has been described as new (R. boreimaxima, 2014). In two cases, type studies using molecular methods have confirmed identity with unknown or little used names in the Nordic countries (R.eosanguinea and R.primulina). The rest of the species need further nomenclatural research and are probably undescribed.
Embodied and Enactive Imagination in VR
Authors: Zuzanna Rucinska
Published: December 2024

Do we perceive or do we imagine virtual entities in virtual reality games? There are, to date, two mainstream answers in the literature to this question: the answer of the fictionalists, which is that we must imagine virtual entities for they are fictional, and the answer of the realists, which is that we directly perceive virtual entities since they are digital. In this article, I put another option on the table, and argue that following a particular embodied and enactive take oni magination (what I will call EEI), imagination can play a specific role in our experience of virtual entities. Specifically, imagination is involved in anticipating virtual affordances (or in-game actions possibilities), and in allowing one to be creative within the game context. The view ultimately endorses a relational instead of a representational view of imagination: instead of representing unreal fictional entities, it showcases that imagination is a context-dependent process shaped by the interactions found within the virtual games.
Kulturmiljøverdienes mange betydninger
Authors: Gulliksen Jesper August Johansen
Published: December 2024

In this article, an investigation into local practice of heritage management is presented and discussed. Through a discourse theoretical approach, architectural value, historical value and cultural value are analyzed to understand what reasonings and understandings lie behind them. Three stakeholders are identified and proceedings of building applications in Oslo constitute the empirical data. The data is then discussed in a wider debate about the relations between humans and materials inspired by discourse theory, actor-network-theory and archaeology of the recent past. The discussions question the anthropocentric value system in Norway in an attempt to understand how a phenomenon like the Architectural Uprising movement talks about buildings, heritage and people.
CERAMIC PRODUCTION IN SOUTHWESTERN NORWAY DURING THE IRON AGE - INSIGHTS FROM EXCAVATIONS AT HØLLAND
Authors: Hillesland Kristoffer
Published: December 2024

This article explores ceramic production in southwestern Norway during the Roman Iron Age and Migration Period. Large amounts of ceramic material from these periods have earlier been found in southwestern Norway. Despite the abundance of ceramic artifacts from this period, few traces of pottery workshops have been confirmed in the archaeological record. This paper aims to address this gap in research by exploring a recently excavated ceramic workshop at Ogna in Jæren, Rogaland, dated to the Roman Iron Age and Migration Period. The findings from this site offer valuable insights into the spatial arrangements and temporal changes of Iron Age ceramic production in southwestern Norway during the early Iron Age.
Migrasjon ved mayaenes Mensabak? Radiokarbondateringer i befolkningsendringsmodeller
Authors: Falchenberg Sofia
Published: December 2024

In this article, I present a method to better understand the population development at Mensabak, a Maya village next to a lake system in the tropical Lacandon forest in Chiapas, Mexico. I use a dates-as-data approach to model prehistoric population dynamics combined with comparative studies from other areas in the Maya Lowlands. The radiocarbon dates provided in this project support previous knowledge that there were two main habitation periods at Mensabak. My findings also indicate that the Preclassic habitation period at Mensabak likely lasted longer than earlier believed and that there might have been a permanent settlement in Mensabak in the Classic Period, which was not previously demonstrated. 
Based on other studies, I discuss scenarios related to socio-political discontentment and conflict, a general restructure of settlements in the region and local problems with the water supply as a possible backdrop for the migration from Mensabak in the late and terminal Preclassic Period. This introduces some new perspectives and puts Noh K'uh in a greater context. This line of study is valuable for better understanding the causes and consequences of prehistoric migration and the interplay between urban and semi-urban areas in the periphery of a region.
QUANTITATIVE ANALYSIS OF LEFT VENTRICULAR FUNCTION RECOVERY POST-PERCUTANEOUS CORONARY INTERVENTION IN ST-SEGMENT ELEVATION MYOCARDIAL INFARCTION (STEMI) PATIENTS
Authors: Cortes Karol da Conceição Rabello , De Oliveira Daniela Linhares Lima , Neto José Edson de Moura , Gonçalves Amanda Marçal , Dias Fernando Rodrigues , De Sousa Cícero Roniel , Parente Sarah Beatriz Mourão , Cabral Matheus Henrique Almeida , Da Silva Luís Gustavo Gomes , De Souza Gustavo Toshio Yto , De Oliveira Francisco Davi Ângelo Lins , De Souza Jadson Barros , De Medeiros Karidya Mariana Pereira , Moura Beatriz Melo Galvão , Cruz Bruna de Jesus , Varella André Azevedo de Lacerda Campiello , de Lima Émerson Costa , De Medeiros Guilherme Fontes , Mafra Raissa Carla Vasconcelos , Maciel Nathália Silva Guedes
Published: December 2024

Left ventricular function plays a pivotal role in maintaining systemic circulation and is often significantly impaired in patients with ST-segment elevation myocardial infarction (STEMI) due to abrupt coronary artery occlusion. This impairment can lead to myocardial necrosis, heart failure, and increased mortality. Percutaneous coronary intervention (PCI) has become the gold standard for restoring coronary perfusion in STEMI, offering substantial benefits in improving left ventricular ejection fraction (LVEF) and reducing mortality. This systematic review examines the recovery of left ventricular function in STEMI patients post-PCI, focusing on key predictors of functional recovery and the impact of timely intervention. Recent studies highlight that the extent of myocardial necrosis, microvascular resistance, reperfusion timing, and individual patient characteristics are critical factors influencing LVEF recovery. Research by Elias et al. (2016) and Otero-García et al. (2021) demonstrated significant improvements in ventricular recovery with PCI, emphasizing the importance of treating viable myocardial tissue. Advanced imaging techniques, such as global longitudinal strain and myocardial work analysis, have been shown to enhance the prediction of recovery potential, as reported by Montaser et al. (2020) and Meimoun et al. (2020). Furthermore, the initial ejection fraction and markers of microvascular function, such as the index of microcirculatory resistance (IMR), were identified as strong predictors of recovery in studies by Dauw et al. (2021) and Palmer et al. (2016). Despite its efficacy in restoring coronary flow and improving systolic function, PCI faces limitations in addressing diastolic dysfunction, which remains a significant clinical challenge. Studies also reveal heterogeneity in patient outcomes, influenced by individual baseline characteristics and the extent of myocardial damage. While PCI improves prognosis, enhances functional recovery, and reduces all-cause and cardiovascular mortality, the integration of advanced diagnostic techniques and precise identification of functional predictors are essential for optimizing treatment outcomes. This review underscores the importance of PCI in STEMI management while highlighting ongoing challenges and opportunities for improving left ventricular function recovery.
(RE)CATEGORIZAÇÃO DE AFETO EM TEMPOS PANDÊMICOS: INVESTIGANDO TEXTOS MULTIMODAIS
Authors: Saliés Tânia Gastão , Decco Carolina de Mello
Published: December 2024

A pandemia de COVID-19 e o isolamento social impuseram ressignificações na forma de expressar o afeto. Que atributos de uma realidade percebida se tornaram mais salientes na reestruturação da categoria AFETO? Este artigo investiga a questão em produções multimodais (Forceville, 2008) de modo predominantemente qualitativo-interpretativista, embora recorra à quantificação para minerar os dados (Creswell, 2007).  Para tal, configurou um corpus de 263 charges publicadas entre março de 2020 e março de 2022 pelo jornal Folha de São Paulo [on-line] no qual identificou 16 que fogem de alusões irônicas ou humorísticas às posturas do governo Bolsonaro e acionam o domínio do AFETO. A título de exemplo, o artigo apresenta quatro das 16 charges e as analisa à luz da Gramática Visual de Kress e Van Leewen (2006), do conceito de metáfora multimodal (Forceville, 2008) e de conceitos da Linguística Cognitiva (Lakoff, 1987; Langacker, 2008) em uma abordagem sociocognitiva-discursiva (Musolff, 2020; S). Ao contrário das outras charges publicadas no mesmo período, as selecionadas assumem um propósito comunicativo voltado para a agência moral (Johnson; Lakoff, 1999) e inspira novos contornos ao AFETO. Nas charges o contato físico passa a ser mediado por objetos; a vacinação e o uso de máscara passam a ser perspectivados como agência moral. Tal (re)categorização ancora-se nos contextos interacional e sociocognitivo do período pandêmico.
IMPACT OF CORPORATE SOCIAL RESPONSIBILITY ON EARNINGS MANAGEMENT: EMPIRICAL EVIDENCE FROM PAKISTAN
Authors: Azeem Sana , Cheema Shahan Mehmood
Published: December 2024

Earnings Management is known to be deliberate manipulation of firm’s financial data by managers. This tends to not only mislead stakeholders but also undermines the integrity of financial reporting. Whilst CSR tend to be improving social, environmental and economic conditions. This also leads to improving reputation of the business and wins trust of stakeholders. The study aims to explore the relationship between CSR and earnings management in context of Pakistani manufacturing companies. The country has a unique economic, political and cultural context which makes this study unique. The stock market of Pakistan is prone to various challenges like information asymmetry, market volatility, regulatory complexities and financial transparency. Although there is democracy in the country, however, the culture of the country is strongly influenced by the Islamic principles which emphasize on ethics and justice. These characteristics make this investigation unique and relevant. A comprehensive data of 1694 observations is used in the study. Jones model is used as a proxy for earnings management which is based on discretionary accruals. The study used control variables including return on assets and growth. The findings of the study reveal that the relationship between CSR and EM is significant but negative.
The role of Smart Leadership in Enhancing Talent Management An analytical study of the opinions of a sample of administrative leaders in the General Directorate of Education in Nineveh Governorate
Authors: Hanan Mustafa Ali  , Hanan Ahmed Sheekho
Published: December 2024

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A comprehensive survey on cassava disease detection and classification using deep learning models
Authors: Mohammed Fathima , Bondili Sri Harsha Sai Singh
Published: December 2024

In the past few years, methods using deep learning have demonstrated promising outcomes in a variety of image-based applications, including the identification and classification of plant diseases. In this article, we propose a comparative examination of deep learning models for the identification and categorization of diseases affecting cassava leaves. The dataset used in this study comprises non balanced samples, posing a challenge due to imbalanced class distribution. Our research focuses on investigating the performance of different deep learning architectures, including Transformer Embedded ResNet, EfficientNetV2, with visual attention mechanism, and a mobile-based deep learning model, in addressing this problem. The suggested models use deep convolutional neural networks (CNNs) to their full potential and incorporate a variety of deep learning techniques, such as transformers and attention mechanisms, that improve accuracy as well as efficiency. Through extensive experiments, we analyse each model's performance in terms of classification accuracy, precision, recall, and F1-score. Moreover, we compare the computational complexity and deployment feasibility of these models in real-world scenarios. Conclusions demonstrate the effectiveness of the suggested models accomplish significant improvements in cassava disease detection and classification compared to traditional techniques for machine learning. The deep learning models effectively handle the non-balanced dataset and exhibit robustness in identifying different types of cassava leaves disease. Our survey provides Informative data about the suitability and effectiveness of deep learning techniques for accurate and efficient plant disease diagnosis
Mycoflora of Stored Wheat in Bafra District of Samsun Province
Authors: Eser Ümit , Kansu Bayram , Tunalı Berna
Published: December 2024

In this study, the fungal flora in wheat grain samples taken six months after harvest from warehouses in 13 villages of Bafra district of Samsun province was investigated. A total of 600 seeds were processed isolates of endophytic, saprophytic, or pathogenic fungi recovered were identified as 15 fungal genera. Alternaria alternata, Alternaria spp., Chaetomium spp., Phoma spp., Epicoccum nigrum were the fungi that showed the highest colonization frequency in analyzed grain. Fungi such as Penicillium, Aspergillus, Fusarium graminearum, F. poae, which are known to produce mycotoxins, were among the isolated fungi. Fusarium graminearum, F. poae and Bipolaris sorokiniana are among the important pathogens of wheat. The other microorganisms were present at intermediate or low values. On the other hand, fungi such as Chaetomium, Epicoccum nigrum, Torula species were isolated as antagonist organisms. Stemphylum, Ulocladium, Cladosporium, Popularia, Nigrospora oryzae, which are thought to be saprophytes or endophytes, were also isolated. Some are also known as weak pathogens. On average, 31.5% of the seeds examined had one or more fungal infections, while 68.5% had no fungal infections.
Microplastic Levels in Water and Sediment of Karaçomak Dam Lake (Kastamonu, Türkiye)
Authors: Taştan Yiğit , Sönmez Adem Yavuz
Published: December 2024

This paper investigates the microplastic (MP) abundance and morphology in Karaçomak Dam Lake, a freshwater source used for irrigation and drinking water, located in Kastamonu, Türkiye. Water and sediment samples were collected during January, April, July and October 2023 from two stations determined on the lake. MPs obtained from the samples were counted and classified according to their sizes, shapes (fiber, fragment, film, microbead) and colors. Results showed that the mean MP abundance in the water samples was 3206 particle/m3, while it was 180 particle/kg dry weight in the sediment samples. The most frequent MP type was fiber in surface water samples and fragment in sediment samples. Predominant colors were blue and black for surface water and sediment, respectively. Majority of the MPs found were small-sized MPs (<1 mm). MP abundance was the highest in winter season, followed by autumn, spring and summer, respectively. The seasonal differences were probably driven by rainfall and the anthropogenic activities around the lake. We concluded that the values obtained in this study are moderate in comparison with the literature data. Although it was inferred that sources of MP are domestic waste, agriculture and recreational activities, it is recommended to conduct more comprehensive studies to better understand the sources of MP pollution in Karaçomak Dam Lake.
Pembuatan Konten Pemasaran Digital Sebagai Upaya Peningkatan Bisnis LKP Kawan Belajar Pajak Surakarta
Authors: Krisnaningsih Ardiani Guswidjaya , Allen Revalina Jeanne , Handaruwati Indah
Published: December 2024

Kegiatan Pengabdian merupakan kerjasama Mahasiswa Manajemen dan Dosen Pendamping bersama pihak eksternal yaitu LKP Kawan Belajar Pajak. Pengabdian ini bertujuan untuk memberikan sumbang sih kepada dunia usaha dalam meningkatkan usahanya. Kegiatan yang dilakukan yaitu pembuatan konten digital marketing ini, dapat mengetahui cara mengoperasionalkan akun sosial media dan telah mempengaruhi semua aspek dalam kegiatan termasuk pemasaran. Pembuatan konten ini diharapkan dapat membantu meningkatkan bisnisnya untuk memperoleh  konsumen, mengenalkan kelas pada bisnis mitra, serta meningkatkan dalam konsumen memperoleh informasi yang lebih luas di bidang sosial media terutama di Instagram dan Tiktok.
Pelatihan Penggunaan Google Business Untuk Optimalisasi Promosi UMKM Mie Ayam Mas Pit di Banmati, Sukoharjo
Authors: Huda Elida Zia'ul , Istiyanto Budi
Published: December 2024

Pelatihan penggunaan Google Business Profile (sebelumnya dikenal sebagai Google My Business) merupakan langkah strategis untuk meningkatkan visibilitas digital dan daya saing Usaha Mikro, Kecil, dan Menengah (UMKM). Kegiatan pengabdian masyarakat ini dilakukan di UMKM Mie Ayam Mas Pit, Banmati, Sukoharjo, yang memiliki potensi besar untuk berkembang namun menghadapi tantangan dalam memanfaatkan teknologi digital. Pelatihan mencakup pengenalan Google Business Profile, pembuatan akun, optimalisasi profil bisnis, dan strategi untuk menarik pelanggan melalui ulasan dan pembaruan rutin. Metode yang digunakan meliputi ceramah, praktik langsung, dan pendampingan personal. Hasil dari kegiatan ini menunjukkan bahwa UMKM peserta berhasil memahami konsep dasar pemasaran digital, meningkatkan kehadiran online mereka, dan meraih peningkatan pengunjung serta ulasan positif di Google Business Profile. Program ini diharapkan dapat menjadi model untuk pengembangan UMKM lainnya, khususnya di sektor kuliner, dalam menghadapi era digitalisasi.
Pelatihan Pembuatan Search Engine Optimization (SEO) untuk Optimalisasi Pemasaran Digital pada UMKM Omah Degan D'Jingga di Sukoharjo
Authors: Agustintia Dwinda , Prabawa Santosa Tri
Published: December 2024

Digitalisasi pemasaran menjadi kebutuhan penting bagi Usaha Mikro, Kecil, dan Menengah (UMKM) untuk meningkatkan daya saing di era modern. Salah satu strategi digital yang efektif adalah penerapan Search Engine Optimization (SEO) untuk memperluas jangkauan dan meningkatkan visibilitas produk secara online. Kegiatan pengabdian masyarakat ini bertujuan memberikan pelatihan kepada UMKM Omah Degan D'Jingga di Sukoharjo mengenai teknik dasar SEO untuk optimalisasi pemasaran digital. Metode pelatihan meliputi penyuluhan teori, praktik langsung, dan pendampingan dalam pembuatan konten yang sesuai dengan prinsip SEO. Hasil kegiatan menunjukkan peningkatan pemahaman dan keterampilan peserta dalam menerapkan SEO pada platform digital mereka, seperti website dan media sosial. Dampaknya adalah peningkatan trafik kunjungan online serta potensi pertumbuhan penjualan produk. Kegiatan ini diharapkan dapat menjadi model pemberdayaan UMKM untuk beradaptasi dengan perkembangan teknologi dan memperluas pasar mereka secara berkelanjutan.
Pendampingan Penggunaan Aplikasi Keuangan Digital Pada UMKM Raja Teh Solo
Authors: Sari Airlin Permata , Perdana Dian Noor Citra , Winarsih Endang
Published: December 2024

Usaha Mikro, Kecil dan Menengah (UMKM) adalah salah satu penggerak ekonomi suatu negara yang penting untuk meningkatkan kesejahteraan masyarakat dan memiliki potensi besar jika dikelola dan dikembangkan dengan baik. Akan tetapi, salah satu kesulitan utama yang dihadapi oleh pengusaha UMKM adalah pengaturan keuangan dan manajemen yang belum dilakukan dengan baik. Karena hal tersebut, maka tim PKM – STIE Wijaya Mulya Surakarta memberikan kegiatan berupa pendampingan dalam kaitannya penjurnalan melalui aplikasi pengelolaan keuangan