bluuebunny/crossref_metadata_2025 huggingface dataset:
Beneficios del consumo de dieta mediterránea en individuos con elevado riesgo cardiovascular: un patrón que debe convertirse en el común denominador
Authors: Torres Romero Juan Pablo , López González Celso Leonel , Silva Pachon Sharon Valeria , Meneses Díaz María Camila , Jiménez Casadiego Daniella Alexandra , Campuzano Arias Sebastián , Gómez Méndez Daniel Gustavo , Picón Jaimes Yelson Alejandro
Published: November 2023

Las enfermedades cardiovasculares siguen siendo la principal causa de morbilidad y mortalidad en el mundo. Y aunque existen herramientas terapéuticas y farmacológicas que ayudan a controlar la incidencia de desenlaces cardiovasculares con la reducción del riesgo cardiovascular, las inequidades en el acceso oportuno a servicios de salud y de determinantes sociales de la salud impiden que toda la población con esta necesidad pueda recibir esta ayuda terapéutica. Es así, como se da prioridad a las intervenciones no farmacológicas, dentro de las que se destaca, la dieta, la cual ha demostrado influir significativamente en la salud cardiovascular y en la expectativa de vida del ser humano. Particularmente, la dieta mediterránea, basada esencialmente en el consumo de frutas, vegetales, granos, legumbres, aceite de oliva, especias, seguido de proteína derivada de pescado y comida de mar, ha demostrado proveer cierto grado de protección frente a enfermedades cardiometabólicas. Sin embargo, se desconoce con certeza cuál es el impacto en la población con elevado riesgo cardiovascular y, por ende, enfermedad cardiovascular establecida. Considerando la evolución de la evidencia en los patrones dietarios, así como la necesidad de conocer qué tanto impactan las dietas viables en nuestro medio, sobre todo en aquellos con mayor riesgo de morbilidad y mortalidad por enfermedad cardiovascular, el objetivo de esta revisión consiste en exponer evidencia actualizada sobre los beneficios de la dieta mediterránea en individuos con elevado riesgo cardiovascular. Para esto, se realizó una búsqueda bibliográfica en las bases de datos PubMed, Science Direct y Scielo.
Basophil activation test with progressively less heated forms of egg distinguishes egg allergic from tolerant children
Authors: De Vlieger L , Nuyttens L , Ieven T , Diels M , Coorevits L , Cremer J , Schrijvers R , Bullens DMA
Published: November 2023

Background: Diagnosis of egg allergy through basophil activation testing (BAT) has been mainly performed with an egg white extract or individual egg allergens rather than clinically more representative whole-egg extracts. Impact of heating on whole-egg extract allergenicity remains unassessed. Objective: Validating BAT with gradually less heated whole-egg extracts in egg allergy diagnosis and as tolerance marker. Methods: CD63-based BAT was performed with five progressively less heated extracts from cake, hard-boiled egg, omelet, soft-boiled, and raw egg in 10 egg allergic (EA), 10 complete egg tolerant (ET) and 12 non-egg-sensitized non-allergic (NEA) children. Cutoffs and diagnostic accuracy measures were established through ROC analysis. Changes in basophil response were assessed in 12 baked egg tolerant children undergoing an 8-month gradual egg reintroduction protocol with BAT and oral food challenges prior to each reintroduction step. Results: Basophil responses to all egg extracts were increased in EA, but not in ET and NEA children. Responses decreased progressively with more heated egg extracts. Compared to ET children, EA children showed higher basophil sensitivity for all egg extracts. Negative BAT responses predicted clinical tolerance with a 90-100% sensitivity, 100% specificity, and false positive rate of 2.78%. In comparison, egg sIgE’s (<0.35 kUA/L) had a lower specificity of 50-78% with a false positive rate of 40%. Basophil reactivity and sensitivity tended to decrease in baked egg tolerant children undergoing gradual egg reintroduction, concurrent with tolerance development. Conclusion: BAT with progressively less heated egg preparations is a sensitive and highly specific tool to discriminate EA from ET children.
Incorporación de almacenamiento de energía en los sistemas eléctricos: experiencias internacionales en modelos normativos
Authors: Migues Carlos , Inostroza Juan , Rendas Antonio
Published: November 2023

El almacenamiento de energía a pesar de jugar un rol fundamental en la descarbonización del sector energético y la consecuente reducción de las emisiones de gases efecto invernadero se enfrenta múltiples barreras regulatorias en los mercados eléctricos que dificultan su desarrollo. Este documento presenta una síntesis de experiencias internacionales en regulación de los sistemas de almacenamiento de energía (SAE), en mercados con alta penetración del almacenamiento, con el objetivo de identificar los elementos regulatorios clave que puedan favorecer la rápida adopción de los SAE en los países de América Latina y el Caribe. Los mercados eléctricos considerados fueron: el Reino Unido, España, Francia, Italia y Alemania en Europa; California y Texas en Estados unidos y Australia.
“La verdadera planificación es en realidad una conversación institucional acerca del poder y del poder hacer”
Authors: Barbosa Sebastián , Ossorio Domecq Arístides
Published: November 2023

Entrevista a la doctora Claudia Bernazza
Holistyczna koncepcja procesu bankructwa przedsiębiorstwa
Authors: Ratajczak Piotr
Published: November 2023

A holistic concept of the corporate bankruptcy process. Corporate bankruptcy prediction has been addressed in countless studies, while the bankruptcy process is scarcely recognized in the literature. The aim of this study is to develop a holistic concept of the corporate bankruptcy process. The primary method used in the study was a review of the literature, and in the absence of publications simultaneously addressing all the issues included in the aim, a syllogistic inference scheme was adopted. The concept developed assumes that bankruptcy is a process whose shape depends on short-term symptoms of bankruptcy (i.e. profitability and liquidity), long-term symptoms of bankruptcy (i.e. growth and development), possibly acquired cash to counteract these symptoms, as well as the agility and resilience of the company.
Program održivog razvoja Međimurja
Authors: Jurakić Marko , Pavlakovič Farrell Barbara , Barkiđija Sotošek Marina , Grula Rudi , Koščak Marko
Published: November 2023

Na krajnjem sjeveru Hrvatske, opasana rijekama Murom i Dravom, nalazi se Međimurska županija. Iako prostorno najmanja županija Republike Hrvatske, diči se bogatom poviješću, kulturnim nasljeđem, promišljenim i strateški osmišljenim turizmom i brojnim titulama. Slijedom navedenog, upravo ova destinacija turističke izvrsnosti služi kao ogledni primjer dobre prakse studentima za terensku nastavu u kojoj je sudjelovalo šezdeset studenata s osam fakulteta iz Hrvatske i Slovenije te mnogobrojnih Erazmus studenata iz Španjolske, Norveške, Nizozemske i Crne Gore, koji su se tijekom dvodnevnog posjeta osobno uvjerili u velik razvojni potencijal ove županije. Studenti su u pratnji svojih mentora i uz stručno vodstvo domaćina na svakoj posjećenoj lokaciji analizirali trenutnu turističku ponudu, izazove razvoja te u okviru svojih radova utvrdili prioritetna područja rada, definirali mjere i pokazatelje te način njihova praćenja. Svi radovi temelje se na načelu održivog razvoja turizma. Znanstvena monografija „Program održivog razvoja Međimurja“ rezultat je inicijativa lokalnih dionika za promicanjem strateškog razvoja turizma u središnjoj Hrvatskoj i Međimurskoj županiji.
La relación entre el apego a la marca, la calidad del servicio móvil y el boca a boca positivo en usuarios de aplicaciones de banca móvil del BCP, BBVA e Interbank, de 21 a 35 años de Lima Metropolitana en el 2022
Authors:   , Vásquez Flores Franco Gabriel , Villanueva García Cinthia
Published: November 2023

El presente trabajo busca conocer la relación entre el apego a la marca, la calidad del servicio de la banca móvil y el boca a boca positivo. La población de estudio está conformada por jóvenes de 21 a 35 años que viven en Lima Metropolitana y son usuarios de banca móvil del BCP, Interbank y BBVA. El confinamiento por la pandemia fue uno de los principales gatilladores para el uso de nuevas herramientas digitales y el impulso hacia la transformación digital en la mayoría de los sectores. Todo ello sumado a la necesidad que tienen las personas de estar cada vez más conectadas fueron uno de los principales motores que promovieron el crecimiento de la banca móvil, sector con una serie de beneficios para los usuarios como acceso inmediato a sus servicios bancarios, eficiencia en las transacciones, entre otros, y que en la actualidad ya representa más de la mitad de las operaciones de los bancos en el país. Ante este latente crecimiento del sector, la finalidad de la investigación es maximizar la experiencia de los clientes a través de sus aplicaciones de banca móvil mediante recomendaciones que sean de utilidad para las instituciones bancarias con el objetivo de comprender mejor el comportamiento de los clientes actuales y potenciales que forman parte de las nuevas generaciones de edad que son nativas digitales. Para realizar el análisis, se definió una muestra de 300 usuarios, 100 por cada entidad bancaria. La recopilación de información se hizo de forma virtual, usando un cuestionario. A nivel general, se concluyó que existe relación entre el apego a la marca y la calidad del servicio móvil en tres de sus cuatro dimensiones: usabilidad, características de valor agregado e interactividad. Además, se determinó que existe relación entre el boca a boca positivo y la calidad del servicio móvil en sus cuatro dimensiones. Finalmente, se determinó que existe relación entre el apego a la marca y el boca a boca positivo. En un contexto donde la banca móvil ha tomado mayor relevancia, existe la oportunidad de realizar un análisis a profundidad sobre la relación de las variables. Esto con motivo de ser una medida de seguimiento para las entidades bancarias y puedan optimizar la calidad de sus aplicaciones móviles.
Antecedentes de la satisfacción y lealtad en el sector microfinanciero peruano
Authors:   , Bohorquez Soto Oscar Eduardo , Aguilar Vargas Renzo Thomas Raul
Published: November 2023

Con el pasar del tiempo, la banca digital ha comenzado a tener mayor impacto en el mercado financiero gracias a que los clientes han logrado utilizar con mayor frecuencia las nuevas tecnologías móviles (Alkhowaiter, 2020). Este trabajo tiene como principal meta analizar e identificar el efecto que tiene la calidad del servicio, la calidad de información, la calidad del sistema, la seguridad y la confianza, en la satisfacción y en la lealtad de las personas que utilizan la banca digital de alguna microfinanciera en el Perú. Dicho trabajo tuvo una muestra de 500 personas. Para analizar la relación entre las variables del estudio, se usó la técnica estadística PLS-SEM, con la ayuda del programa Smart PLS. Los resultados finales evidenciaron que existe una relación verdadera entre la calidad de información, la calidad del servicio, la calidad del sistema, y la confianza, con la satisfacción del usuario. Asimismo, se descubrió que la seguridad no influye en la satisfacción de las personas cuando usan la banca digital. Además, se determinó la ajustada relación entre la satisfacción y la lealtad del consumidor de la banca digital en el sector microfinanciero.
Centro cultural en Arequipa con énfasis en el diseño wayfinding
Authors:   , Espinoza Salazar Emilia Alejandra
Published: November 2023

Ante la creciente necesidad del usuario local por un espacio de encuentro y convivencia para la creación, formación y difusión del quehacer artístico es contemplado en gran medida por el proyecto a desarrollar de la localidad, El centro cultural con enfoque en las artes visuales revaloriza los conocimientos históricos del arte y el valor añadido por ser cuna de este. La difusión de esta es uno de los grandes objetivos de este proyecto. El proyecto interviene de manera contextual la periferia del centro histórico. frente a una zona paisajística, estudia la distribución arquitectónica para así poder adatarse sin afectar sus valores e ideas espaciales del nuestro principal usuario que el ciudadano local. Por eso es por lo que la propuesta busca generar un vínculo entre el disfrute natural exterior y la interiorización robusta practicada arquitectónicamente. La propuesta se desarrolla en base a la mímesis con la arquitectura de la zona, respetando las virtudes paisajísticas, Se desarrollan Tres volúmenes interceptados entre ellos en el terreno permitiendo la masividad y priorizando un solo gran frente con las vistas hacia el parque ecológico. Cada volumen desarrolla un patio interior correspondiente a los ambientes que lo rodean. Como el educativo, el de exposición y el de entretenimiento. Finalmente, se concluye que la propuesta ayudará a impulsar y consolidar la cultura artística; permitiendo un mejor desarrollo de nuestra riqueza artística.
Vegetables from the wild: a report on the edible wild herbs and shrubs used by the Tutsa tribe of Arunachal Pradesh, North East India
Authors: Kitnya Nyaton , Mahadani Pradosh
Published: November 2023

Arunachal Pradesh in eastern Himalaya is a state with diverse ethnic groups who live in close association with nature. Among more than 100 tribes, Tutsa is an ethnic community inhabiting one of the remotest regions of the state namely Tirap and Changlang districts. The tribe is known for rich oral traditional knowledge which is still undocumented. Therefore, an attempt was made to document their eating habits from the wild. The field survey (2019-2021) resulted in the documentation of many economically valuable wild herbs and shrubs used by the community as an alternative food source. The study noted that the art of eating from the wild act as a rescuer to the Tutsas at times of famine or when the region gets disconnected due to landslides and other natural calamities. Clerodendron glandulosam, Diplazium esculentum, Pilea umbrosa and Piper pedicellatum species are some of the favourites of the Tutsas. However, it was observed that such traditional indigenous knowledge is limited to older age groups. Therefore, this kind of timely documentation is much-valued information.
Range extension of Salvia misella (Lamiaceae): A taxon naturalized in West Bengal
Authors: Majumdar Shuvadeep , Kumar Anant , Rai Ritu
Published: November 2023

The present paper elucidates the first report on occurrence and naturalization of Salvia misella Kunth (Lamiaceae) in Eastern India. A brief description, photographs along with ecological notes are provided here for easy identification.
Pogostemon paniculatus (Willd.) Benth. (Lamiaceae) and Cyclocodon lancifolius (Roxb.) Kurz (Campanulaceae): Two new additions to the flora of Tripura, India
Authors: Das Sani , Bora Dixit , Debbarma Smita , Banik Biplab , Shil Sourav , Datta Badal Kumar
Published: November 2023

Two new herbaceous plants Pogostemon paniculatus  and Cyclocodon lancifolius are recorded for the first time from Tripura. Both species are found in hilly slope and margins of the evergreen forest. Brief taxonomic descriptions along with photographs are provided for easy identification.
Addition of three lesser known endemic species to the state flora of Tamil Nadu
Authors: M Murugesan. , B Karthik. , Anusuba V. , Tharani R.
Published: November 2023

Three lesser known endemic flowering plant species are reported here as additions to the flora of Tamil Nadu based on specimens collected from Bolampatty Reserve Forest of Coimbatore district in Tamil Nadu
Brachythecium erythrorrhizon Schimp. (Brachytheciaceae: Bryopthyta) – New to India
Authors: Daniels D. T. T. , Ben C. P. , Daniels A. E. D.
Published: November 2023

The moss Brachythecium erythrorrhizon was collected while exploring the Palani Hills in the Western Ghats for bryophytes. This is a new record for India and hence, a description with a photographic plate is provided.
Note on morphological variations and new distributional record of Bonnaya tenuifolia (Linderniaceae) from Andhra Pradesh, India
Authors: Ramana P. V. , Swamy J. , Jalander V. , Naidu P. S. , Padal S. B.
Published: November 2023

Bonnaya tenuifolia (Colsm.) Spreng. (Linderniaceae) collected from Srikakulam district, is reported here as a new distributional record to the flora of Andhra Pradesh state. Detailed description, distribution, and notes on morphological variations are provided along with photographs of the species for its easy identification.
Rungia longistachya (Acanthaceae), a new species from the southern Western Ghats, India
Authors: Paul Basil , Murugan C.
Published: November 2023

Rungia longistachya Basil & Murugan (Acanthaceae), a new species from southern Western Ghats, India, is described and illustrated here. The species is closely allied to R. apiculata Bedd. but it can be distinguished from the latter by having eglandular-puberulous narrow lax spikes, long slender peduncle, sterile bracts without prominent lateral veins, and ellipsoid capsule with acute apex. Detailed description, illustration, photographic plates, comparison table and an identification key to all Rungia species that occur in the southern Western Ghats are provided for easy identification.
Inventorisation and Mapping of the Grasslands of the Bassi Wildlife Sanctuary, Rajasthan, India
Authors: Hari Krishna Peddi , Kumar Ramesh , Arigela Ravi Kiran , Siddabathula Nagaraju
Published: November 2023

During the floristic explorations in the Bassi WLS, the vegetation type map is prepared to study the status and composition of grasslands and savannahs of the sanctuary. Further, the grasses and grass associated plant species which are the chief fodder preferences of primary consumers in Bassi Wildlife Sanctuary are documented. A total of 69 taxa under 59 genera belongs to 16 families are identified from the grasslands and savannahs. Disturbance indicators including the invasive alien species in the Bassi WLS which are menace to biodiversity are discussed here.
Cypripedium himalaicum (Orchidaceae), a new distributional record for the flora of Arunachal Pradesh, India
Authors: Tsering Jambey
Published: November 2023

Cypripedium himalaicum Rolfe belonging to the family Orchidaceae is reported here as an addition to the flora of Arunachal Pradesh, India. The species commonly known as ‘The Himalayan Slipper Orchid’ was earlier known from Himachal Pradesh, Jammu & Kashmir, Sikkim and Uttarakhand in India and four other countries (Bhutan, China, Myanmar and Nepal). The species is categorized as Endangered by the IUCN.
Notes on typification and threat assessment status of Primula concinna (Primulaceae) from Indian Himalaya
Authors: Lahiri Subhajit , Dash Sudhansu Sekhar
Published: November 2023

The name Primula concinna (Primulaceae) is lectotypified here and a threat assessment in the Indian context is also provided.
Account on Rhodophyceae and their significance from the coastline of Andhra Pradesh, India
Authors: M Palanisamy. , Kumar Y Aron Santhosh
Published: November 2023

This paper documents 58 taxa of Rhodophyceae which are recorded from the coastline of Andhra Pradesh. Of these, 15 taxa are new distributional records to Andhra Pradesh and one species forms an addition to th Indian macro-algal flora. The new records are described in detail and all the taxa are provided with data on distribution, seasonal availability and economic significance.
Phytodiversity and its significance of the Pamuleru Sacred Grove in Alluri Sitharamaraju district of Andhra Pradesh, India
Authors: Mudadla Sankara Rao , Krishna P. Hari , Kedareswari N.S.S.N. , Kumar B. Suresh , Gnanojwala V. , Aravinda T. , Kalyani Bai K.
Published: November 2023

The present study focuses on the Pamuleru sacred grove in Alluri Sitharama Raju District, Andhra Pradesh, aiming to assess its plant species diversity. A total of 64 plant species belongs to 58 genera and 31 families were enumerated. Notably, one species, Tectona grandis, is Endangered, while Chloroxylon swietenia is Vulnerable, and 23 species are listed as Least Concerned under the IUCN Red Listed categories. These findings emphasize the ecological and cultural significance of the Pamuleru sacred grove for conservation and sustainable practices.
Raymond Schinazi Discusses the Discovery of Early Antiretroviral Agents and Sofosbuvir
Authors: Lederman Michael M. , Greenspan Neil
Published: November 2023

In this interview, Raymond Schinazi, PhD, Hon DSc, talks about his career with Michael M. Lederman, MD, and Neil S. Greenspan, MD, PhD, senior editors of Pathogens and Immunity. Dr. Schinazi has invented numerous powerful antiviral agents including the antiretrovirals lamivudine (3TC) and emtricitabine (FTC) and was instrumental in the discovery of the anti-hepatitis C agent sofosbuvir. These drugs have saved millions of lives and, here, Dr. Schinazi shares in detail how these agents were invented, how they work, and how they are being applied. He also offers his thoughts about newer approaches to treat viral infections.
Optimizing Cardiovascular Disease Prediction: A Synergistic Approach of Grey Wolf Levenberg Model and Neural Networks
Authors: Fayaz Sheikh Amir Fayaz , Zaman Majid , Kaul Sameer , Bakshi Waseem Jeelani
Published: November 2023

Background: One of the latest issues in predicting cardiovascular disease is the limited performance of current risk prediction models. Although several models have been developed, they often fail to identify a significant proportion of individuals who go on to develop the disease. This highlights the need for more accurate and personalized prediction models.
Objective: This study aims to investigate the effectiveness of the Grey Wolf Levenberg Model and Neural Networks in predicting cardiovascular diseases. The objective is to identify a synergistic approach that can improve the accuracy of predictions. Through this research, the authors seek to contribute to the development of better tools for early detection and prevention of cardiovascular diseases.
Methods: The study used a quantitative approach to develop and validate the GWLM_NARX model for predicting cardiovascular disease risk. The approach involved collecting and analyzing a large dataset of clinical and demographic variables. The performance of the model was then evaluated using various metrics such as accuracy, sensitivity, and specificity.
Results: the study found that the GWLM_NARX model has shown promising results in predicting cardiovascular disease. The model was found to outperform other conventional methods, with an accuracy of over 90%. The synergistic approach of Grey Wolf Levenberg Model and Neural Networks has proved to be effective in predicting cardiovascular disease with high accuracy.
Conclusion: The use of the Grey Wolf Levenberg-Marquardt Neural Network Autoregressive model (GWLM-NARX) in conjunction with traditional learning algorithms, as well as advanced machine learning tools, resulted in a more accurate and effective prediction model for cardiovascular disease. The study demonstrates the potential of machine learning techniques to improve diagnosis and treatment of heart disorders. However, further research is needed to improve the scalability and accuracy of these prediction systems, given the complexity of the data associated with cardiac illness.
Keywords: Cardiovascular data, Clinical data., Decision tree, GWLM-NARX, Linear model functions
Enhancing Multi-Output Time Series Forecasting with Encoder-Decoder Networks
Authors: Hartomo Kristoko Dwi , Lopo Joanito Agili , Purnomo Hindriyanto Dwi
Published: November 2023

Background: Multi-output Time series forecasting is a complex problem that requires handling interdependencies and interactions between variables. Traditional statistical approaches and machine learning techniques often struggle to predict such scenarios accurately. Advanced techniques and model reconstruction are necessary to improve forecasting accuracy in complex scenarios.
Objective: This study proposed an Encoder-Decoder network to address multi-output time series forecasting challenges by simultaneously predicting each output. This objective is to investigate the capabilities of the Encoder-Decoder architecture in handling multi-output time series forecasting tasks.
Methods: This proposed model utilizes a 1-Dimensional Convolution Neural Network with Bidirectional Long Short-Term Memory, specifically in the encoder part. The encoder extracts time series features, incorporating a residual connection to produce a context representation used by the decoder. The decoder employs multiple unidirectional LSTM modules and Linear transformation layers to generate the outputs each time step. Each module is responsible for specific output and shares information and context along the outputs and steps.
Results: The result demonstrates that the proposed model achieves lower error rates, as measured by MSE, RMSE, and MAE loss metrics, for all outputs and forecasting horizons. Notably, the 6-hour horizon achieves the highest accuracy across all outputs. Furthermore, the proposed model exhibits robustness in single-output forecast and transfer learning, showing adaptability to different tasks and datasets.  
Conclusion: The experiment findings highlight the successful multi-output forecasting capabilities of the proposed model in time series data, with consistently low error rates (MSE, RMSE, MAE). Surprisingly, the model also performs well in single-output forecasts, demonstrating its versatility. Therefore, the proposed model effectively various time series forecasting tasks, showing promise for practical applications.
Keywords: Bidirectional Long Short-Term Memory, Convolutional Neural Network, Encoder-Decoder Networks, Multi-output forecasting, Multi-step forecasting, Time-series forecasting
Systematic Literature and Expert Review of Agile Methodology Usage in Business Intelligence Projects
Authors: Wulandari Hapsari , Raharjo Teguh
Published: November 2023

Background: Agile methodology is known for delivering effective projects with added value within a shorter timeframe, especially in Business Intelligence (BI) system which is a valuable tool for informed decision-making. However, identifying impactful elements for successful BI implementation is complex due to the wide range of Agile attributes.
Objective: This research aims to systematically review and analyze the integration of BI within Agile methodology, providing valuable guidance for future projects implementation, enhancing the understanding of effective application, and identifying influential factors.
Methods: Based on the Kitchenham method, 19 papers were analyzed from 288 papers, sourced from databases like Scopus, ACM, IEEE, and others published in 2016-2022. Meanwhile the extracted key factors impacting agile BI implementation were validated by qualified expert.
Results: Agile was discovered to provide numerous benefits to BI projects by promoting flexibility, collaboration, and rapid iteration for enhanced adaptability, while effectively addressing challenges including those related to technology, management, and skills gaps. In addition, Agile methods, including tasks such as calculating cycle time, measuring defect backlogs, mapping code ownership, and engaging end users, offered practical solutions. The advantages included adaptability, success, value enhancement, cost reduction, shortened timelines, and improved precision. The research additionally considered other critical Agile elements such as BI tools, Agile Practices, Manifesto, and Methods, thereby enhancing insights for successful implementation.
Conclusion: In conclusion, the research outlined Agile BI implementation into seven key factor groups, validated by qualified expert, providing guidance for BI integration and practices, and establishing a fundamental baseline for future applications.
Keywords: Agile Methodology, Business Intelligence (BI), Expert Judgement, Kitchenham, Systematic Literature Review (SLR)
LAVENDER AROMATHERAPY FOR FATIGUE AND ANXIETY IN CKD PATIENTS UNDERGOING HEMODIALYSIS: A CASE STUDY
Authors: Putri Alya Syafika , Pranata Satriya , Armiyati Yunie , Chanif Chanif
Published: November 2023

Introduction: Patients with Chronic Kidney Disease (CKD) on hemodialysis can experience various problems, both physical and psychological due to their disease and hemodialysis therapy. Some of the problems that arise as a result of the most common complications of hemodialysis are fatigue and anxiety. Lavender aromatherapy is used as a non-pharmacological intervention given to hemodialysis patients with fatigue and anxiety, to control and maintain quality of life. This nurse's final scientific work aims to determine whether there is a decrease in patient fatigue and anxiety by administering lavender aromatherapy. Methods: The case study uses a descriptive method with a nursing process approach. The case study was carried out in January 2023, in the Hemodialysis Room of RSUP Dr. Kariadi Semarang. The inclusion criteria for study subjects were patients undergoing hemodialysis for no more than 3 months with fatigue and anxiety problems. Giving lavender aromatherapy was carried out for 4 hemodialysis periods, carried out every intradialytic. The instruments used in this case study were the Fatigue Severity Scale and the Beck Anxiety Inventory to measure fatigue and anxiety scores. Results: The results of the study showed that the intensity of fatigue and anxiety before the intervention was moderate and the intensity after the intervention was mild. Conclusions: Lavender aromatherapy has a positive effect on reducing fatigue and anxiety scores in CKD patients undergoing hemodialysis. It is hoped that lavender aromatherapy can become a recommendation in services at health facilities to improve the quality of life of patients undergoing hemodialysis.
Initial Displacement Effects On Collum Femoris Fracture Union
Authors: KART Hayati , SHAMMADLİ Ziya , BAYSAL Özgür , KAYA Murat , EROL Bülent
Published: November 2023

Many factors affect the union of the fracture in collum femoris fractures in adults. We aimed to examine the relationship between the preoperative displacement, the postoperative displacement, and the preoperative waiting time with the union of the fracture. The present study was carried out retrospectively with 52 patients. The patients were divided into three groups according to the union time. Fracture union took 12 weeks or less constituted Group 1 (n=25), patients with the union over 12 weeks constituted Group 2 (n=19), and patients with nonunion formed Group 3 (n=8). Computed tomography was used for the preoperative measurements, and postoperative displacement measurements were made with X-ray.There was no statistically significant difference between the 3 groups regarding the preoperative waiting time and postoperative displacement. While there was no statistically significant difference between Groups 1 and 3, and Groups 2 and 3 for preoperative displacement, the difference was statistically significant in the comparison of Groups 1 and 2 (p=0.046). Between Groups 1 and 2, it was observed with 78.3% accuracy, 73.7% sensitivity, and 72% specificity that there was delayed union in patients with the preoperative displacement of 9.5 mm and above.In the present study, in which the relationship between initial displacement, postoperative displacement, and preoperative waiting time with the fracture union was examined, it was concluded that delayed fracture union could occur when the initial displacement is more than 9.5 mm.
ANALISIS INTENSITAS CAHAYA PADA AREA KERJA MACHINING BERDASARKAN STANDAR PENCAHAYAAN
Authors: Prasasti Anggi Alung , Ernawati Meirina , Fatah Mohammad Zainal
Published: November 2023

Salah satu dari faktor fisik yang dapat mengganggu jalannya pekerjaan adalah pencahayaan. Pencahayaan yang sesuai sangat penting untuk peningkatan kualitas dan produktivitas. Kurangnya pencahayaan dapat memicu ketidaknyamanan pada saat bekerja sehingga berisiko menyebabkan gangguan kesehatan, kecelakaan kerja dan penurunan dalam produktivitas kerja. Metode penelitian yang digunakan dalam penelitian ini adalah deskriptif yaitu memberikan gambaran secara jelas yang terbatas pada usaha mengungkapkan suatu masalah dan keadaan sebagaimana adanya. Dalam penelitian ini penulis memaparkan hasil peninjauan, pengamatan dan pengukuran tentang intensitas pencahayaan pada area kerja machining di salah satu perusahaan konstruksi di Surabaya. Intensitas pencahayaan ini diukur menggunakan alat ukur pencahayaan (Lux meter) dengan 2 macam titik pengukuran yaitu pengukuran pencahayaan lokal/setempat dan pengukuran pencahayaan umum. Berdasarkan hasil penelitian pengukuran intensitas pencahayaan sesuai dengan Peraturan Menteri Ketenagakerjaan Republik Indonesia No. 5 Tahun 2018 tentang Keselamatan dan Kesehatan Kerja Lingkungan Kerja, hasil pengukuran lokal/setempat sebanyak 3 mesin yang tidak memenuhi standart yaitu area kerja machining pada mesin 1 (188,3 Lux), mesin 2 (166,6 Lux) dan mesin 6 (188,3 Lux) sedangkan hasil pengukuran yang memenuhi standart pada mesin 3 (487,6 Lux), mesin 4 (495 Lux), mesin 5 (591 Lux). Pada pengukuran pencahayaan umum telah memenuhi standart yaitu >200 Lux dengan hasil pengukuran 207 Lux. Terdapat perbedaan intensitas pencahayaan pada area kerja machining disetiap mesin yang intensitas pencahayaannya tidak memenuhi syarat <200 Lux dan area kerja machining yang intensitas pencahayaannya memenuhi syarat ≥200 Lux.

Kata Kunci: Intensitas Pencahayaan, Machining, Peraturan
FAKTOR PENYEBAB KELUHAN KELELAHAN MATA PADA PEGAWAI PENGGUNA KOMPUTER DI PT BANK X BATAM TAHUN 2022
Authors: Syafiqah Hazirah , Dewita Trisna , Rizal Chandra
Published: November 2023

Pencahayaan adalah segala sesuatu yang memberikan terang (sinar) atau penerangan, baik Pencahayaan alami maupun Pencahayaan Buatan. Otot-otot mata bisa menjadi lelah (fatigue) jika melakukan aktivitas yang berat, dalam hal ini adalah menatap perangkat atau layar komputer dalam waktu yang lama. Penelitian ini bertujuan untuk mengetahui hubungan intensitas cahaya, durasi penggunaan komputer dan jenis pekerjaan dengan keluhan kelelahan mata pada pegawai pengguna komputer. Metodologi Penelitian ini adalah kuantitatif. Analisis statistik menggunakan uji Chi Square. Populasi sebanyak 61 pegawai pengguna komputer di PT Bank XCabang Batam. Sampel penelitian menggunakan Teknik Total Sampling yaitu 61 pegawai pengguna komputer. Instrumen penelitian menggunakan kuesioner dan alat ukur Lux meter. Hasil penelitian menunjukkan ada hubungan antara intensitas cahaya dengan keluhan kelelahan mata dengan nilai P value=0,048, ada hubungan antara durasi penggunaan komputer dengan kelelahan mata dengan nilai P value=0,000, ada hubungan antara jenis pekerjaan dengan keluhan kelelahan mata dengan nilai P value = 0,0033. Disimpulkan bahwa variabel intensitas cahaya, durasi penggunaan komputer dan jenis pekerjaan berhubungan dengan keluhan kelelahan mata dimana <α=0,005 yang berarti Ho di tolak. Disarankan bagi pegawai pengguna komputer lebih memperhatikan durasi penggunaan komputer untuk mencegah kelelahan pada mata.
Research on the peak detection method based on derivative transformation for ultrasonic guided wave signals in the rail
Authors: Xu zijian , Xu zijian Jian , Wei Xiao Yuan , Huang Ling , Wang Gang
Published: November 2023

To solve the problem of difficult identification and localization of structural defects by utilizing nonlinear ultrasonic guided waves with coding characteristics in the rail, a novel adaptive peak detection method is proposed in this work, which is based on multi-cascade moving average filter and derivative transformation. First, the ultrasonic guided wave detection system in the steel rail environment is introduced and the parameters of the piezoelectric ultrasonic transducer used in this paper are given. Secondly, analyze the characteristics of the coded excitation ultrasonic guide wave signal, consider the effects of peak sidelobe level, multipath effect, and noise, and use multi-cascade moving average filtering and Hilbert transforms to reduce peak sidelobe interference and extract the envelope. Finally, the peak position of the correlation sequence is detected according to the derivative transformation. The experiment shows that the proposed algorithm can effectively extract the peak information and has good anti-noise performance. It has good recognition ability in complex track environments and the algorithm's accuracy can reach 94.34. This is suitable for coded excitation ultrasonic transmission systems and is easy to implement in the real-time detection system.
A crisis of lake hypoxia in the Anthropocene: The long-term effects of climate and nutrients
Authors: Soares Laura , Jenny Jean-Philippe , Desgué-Itier Olivia , Barouillet Cécilia , Bouffard Damien , Casenave Céline , Isabelle Domaizon , Frossard Victor , Hairston Nelson , Lami Andrea , Lemaire Bruno , Many Gaël , Perga Marie-Elodie , Saulnier Georges-Marie , Soulignac Frédéric , Vinçon-Leite Brigitte
Published: November 2023

Climate change is altering thermal stratification in lakes worldwide. Reduction in winter mixing lead to prolonged oxygen depletion, lasting for years to centuries, potentially becoming permanent. Although there is convincing evidence of lake deoxygenation globally, its duration, timing, and impacts over decadal to centennial timescales remain uncertain. Here, we introduce a novel model-data assimilation approach using 150 years of limnological and paleolimnological data to evaluate the anthropogenic impact and future of deep dissolved oxygen in Lake Geneva. We find that climate change has influenced winter mixing, with divergent effects on bottom oxygen concentrations before and after eutrophication. Over centennial timescales, eutrophication, not climate warming, triggered unprecedented bottom-water hypoxia. However, by 2100, climate change will be the main driver of hypoxia in Lake Geneva and similar lakes, even with reduced phosphorus concentrations. With climate change locking in the effects of phosphorus loading on hypoxia, the significance of reducing loading remains intact.
A Novel 3 chemotactic activity-related gene signature for Predicting prognosis of bladder Cancer
Authors: Zhang Ming , Dong Xing , Yang Weijie , Wu Qian , Chang Mingyang , Lv Jianing , Wang Xiaoqing , Tian Jingyan
Published: November 2023

Background
Bladder cancer is one of the most common malignant tumors of the urinary system. Both cancer and stromal cells, including bladder cancer, express chemokines and their corresponding receptors. Their altered expression controls angiogenesis, cancer cell proliferation, metastasis, and immune cell recruitment and activation in a variety of malignancies. Therefore, it is necessary to investigate the association between chemotactic activity-related genes and the prognosis of bladder cancer patients.
Methods
Download the The Cancer Genome Atlas (TCGA) database's expression profiles for chemotactic activity-related genes and clinical information. Create a prognostic model by using the univariate Cox analysis and the least absolute shrinkage and selection operator (LASSO) regression model. Additionally, the validation cohort for the GSE13507 and GSE48276 datasets is used to verify the signature's predictive power.
Results
We identified 3 chemotactic activity-related genes related to BLCA patients’ overall survival (OS) and established a prognostic model based on their expression. According on the findings of the LASSO regression analysis, patients were split into high-risk and low-risk groups during the study. The survival time of the low-risk group was significantly longer than that of the high-risk group (P < 0.001). The riskscore and clinical prognostic indicators were combined to create a nomogram, which demonstrated strong predictive capacity in the training and validation groups.
Conclusions
With the use of CXCL12, ACKR3, and CXCL10, we have created a chemotactic activity-related predictive model in this study that may aid doctors in making conclusions regarding BLCA patients and provide useful information for tailored management.
Investigation of multivariate analysis of surface-enhanced Raman scattering spectra using simple machine-learning models: Prediction of the composition of mixed self-assembled monolayer on gold surface
Authors: Nishitsuji Ryosuke , Kawasaki Daiki , Nakashima Tomoharu , Sueyoshi Kenji , Hisamoto Hideaki , Endo Tatsuro
Published: November 2023

This study investigates the multivariate analysis of surface-enhanced Raman scattering (SERS) spectra using simple machine-learning models. Substrates with gold nanostructures whose surfaces contain self-assembled monolayers (SAMs) of mixed benzene thiol derivatives (as model molecules) are fabricated, and their SERS spectra are acquired. After preprocessing, the spectra are analyzed using different machine-learning models to compare the prediction accuracies of the mixing compositions of the SAM reagents. The results show that linear discriminant analysis (LDA) achieves the highest prediction accuracy for each combination. The accuracy of LDA (0.996) is higher than that of linear analysis with one variable (0.656), which is conventionally employed in analytical chemistry. The prediction accuracy is 0.994 even when the spectral data of three different SAM reagents are combined into a single data-set, which is used for predictions. This suggests that the model exhibits high performance even when the number of prediction categories increases. We analyze the SERS spectrum with a simple model such as LDA and achieve highly accurate predictions of the mixing compositions of the SAM reagents. This indicates that, even when the measurement data of the SERS spectra are scarce, highly accurate predictions can be made through analysis using a simple prediction model.
Maximizing Consumers’ Satisfaction with Risk Decision in Distributed Energy Systems: A Proof-of-Prospect Blockchain Consensus
Mechanism
Authors: Tang Changbing , Xie Yuqi , Chen Zhiyi , Bao Zheng , Zheng Zhonglong , Liu Yang , Yu Xinghuo
Published: November 2023

Purpose: With the increasing decentralization of energy systems, traditional optimization schemes have become inadequate in maximizing consumers' satisfaction for energy allocation. This challenge may be addressed by blockchain thanks to its decentralization. However, existing blockchains have not been integrated their consensus mechanisms with mathematical optimization of energy allocation in the application layer. Especially, there are no consensus mechanisms of blockchains designed to support the satisfaction optimization with risk decisions of energy allocation. Therefore, we aim to propose a consensus mechanism, named Proof-of-Prospect (PoP), to maximize consumers' satisfaction with risk decisions in distributed energy allocation systems.
Methods: Inspired by the fact that the solutions are hard to find but easy to verify, PoP replaces the inefficient mining in Proof-of-Work by the satisfaction optimization problem with risk decisions, thus improving satisfaction while avoiding excessive energy waste.
Results: The results demonstrate that compared with existing consensus mechanisms, PoP ensures reliability and fairness while enhances consumer satisfaction and integrates satisfaction optimization to reduce energy consumption.
A Total Ranking of Linear Diophantine Fuzzy Numbers with Multi-criteria Decision Making
Authors: M Abirami K , R Srikanth , P Dhanasekaran
Published: November 2023

In this paper, the class of linear Diophantine fuzzy numbers (LDFNs) is divided into three main subclasses in which four different score functions namely improved score function (ISF), improved quadratic score function (IQSF), improved expectation score function (IESF) and non-linear score function (NLSF) are introduced and some of its important properties are proved and validated by illustrative examples. Further a total order relation is introduced based on three subclasses on LDFNs to rank any two LDFNs and multi-criteria decision-making (MCDM) problem is used to validate the proposed methods and compared with some of the existing methods under linear Diophantine fuzzy environment.
Dairy goat performance in two grazing regimes (silvopastoral rangeland or abandoned agricultural land) and two supplementation treatments in central Mexico
Authors: Sainz-Ramírez Aurora , Castro-Montoya Joaquín M. , López-González Felipe , Arriaga-Jordan Carlos M.
Published: November 2023

Twenty Saanen third parturition dairy goats were used in an on-farm 2 × 2 factorial arrangement that ran for 12 weeks, with two grazing regimes and two concentrate types. The grazing regimes evaluated were an extensive silvopastoral native rangeland (SPR) and grazing in an abandoned agricultural land (AAL). Grazing happened between 9:00 and 17:00 h. The two types of concentrate supplement were a high in protein (HP= 200g commercial concentrate/50g ground maize grain) or high in energy (HE= 50g concentrate/200g ground maize grain). Goats were milked once a day, providing 250 g of concentrate supplement per goat and day. Variables analysed were fat and protein corrected milk yield recorded every day, and milk composition determined for two consecutive days at the end of each experimental week. The floristic composition of grazing fields was recorded. The data was analysed with the R software using a mixed model with day nested in period as random effect and goat as repeated measure. The SPR had higher (P=0.002) fat and protein corrected milk yield than AAL, with no differences between concentrate type and no interaction (P>0.05). There was an interaction (P<0.01) between grazing regime and concentrate type for fat content in milk, where a reduction in fat content was obvious in the SPR regime. Protein content of milk was higher (P<0.01) in SPR with no significant effects of concentrate type or the interaction. Number of plant species in SPR was higher. Native silvopastoral systems showed the potential for stable milk yields of specialised dairy goats with higher milk fat and protein content.
Optimizing Aerodynamic Efficiency in Subsonic Flows: A Parametric Analysis of Bio-Inspired Flaps using Asymptotic Methods
Authors: Eddegdag Nasser , Naamane Aze-eddine , Radouani Mohammed , Akhmari Hajar
Published: November 2023

This research is focused on optimizing aircraft performance by harnessing the principles of avian covert feathers, specifically through the passive control of subsonic laminar incompressible boundary layers on airfoils. The exigency of this study is rooted in the growing need for more aerodynamically efficient aircraft, especially in light of increasing fuel costs and environmental concerns. To achieve this, the study employs a robust mathematical framework that amalgamates asymptotic methods, perturbation techniques, and triple-deck boundary layer theory, aiming for a rigorous quantification of aerodynamic behavior under various flight conditions. Three key parameters are meticulously scrutinized: the corrective parameter b, the flap position s0, and the flap angle β. These parameters are analysed for their impact on the lift (Cl) and drag (Cd) coefficients over a range of angles of attack (α). A notable outcome of this research is the identification of b as a pivotal variable that plays a stabilizing role in the aerodynamic system. Through extensive asymptotical modelling and non-linear stability analysis, it was deduced that b is indispensable for managing lift-to-drag ratios effectively across fluctuating flight conditions. To translate these theoretical findings into practical applications, the study introduces a comprehensive parametric landscape. This landscape serves as a decision-making tool by outlining how the parameters s0 and β behave across varying α scenarios, thereby providing actionable insights for airfoil configuration. Importantly, these results bear significant implications for the aerospace industry. They offer a pathway for the development of more efficient airfoils that promise reduced drag and, consequently, diminished fuel consumption.