bluuebunny/crossref_metadata_2025 huggingface dataset:
Particle swarm optimization model for Hindi text summarization
Authors: Jain Rekha , Raja Linesh , Sharma Sandeep Kumar , Bhatt Devershi Pallavi
Published: June 2024

Text Summarization is one of the techniques that shorten the original text without vanishing its information as well as meaning. A lot of algorithms exist for text summarization. Two approaches namely Abstractive Text Summarization and Extractive Text Summarization are used for this purpose. In Abstractive text summarization, the entire document is regenerated using a few lines. Whereas in Extractive Text Summarization sentences are filtered based on some ranks assigned to them by a specific algorithm. A lot of work has already been done in languages like English, Chinese etc. In this paper, the authors propose the summarization of Hindi text using the Particle Swarm Optimization model. Initially, the text in the Hindi language is summarized using a ranking-based technique then PSO (Particle Swarm Optimization) is applied to have an optimized summary of the text. One of the ranking-based techniques i.e. TF-IDF is introduced. Implementation of the proposed Systems is initially discussed in five steps- preprocessing, feature extraction, ranks generation, post-processing and optimized summarization using PSO. At the end, results are shown in terms of an optimized summary of text in a specific language. This system can be implemented in any standard language, but Hindi is selected for practical implementation because very few research work is done in the Hindi Language.
Random forest machine learning approach for efficient optimization of Sierpinski carpet fractal antenna
Authors: Patil Rakhee , Vanjerkhede Kalpana
Published: June 2024

The rapid advancement in communication-based based on Artificial Intelligence (AI) applications has driven the next-generation wireless communication networks, with a notable shift from traditional systems. This evolution promises improved coverage and enhanced spectrum efficiency. Leveraging augmented computational processing capabilities and substantial data storage, Machine Learning (ML) concepts, particularly in the domain of antennas, have gained prominence. The optimization of design parameters is a key focus for achieving favourable computational outcomes, surpassing the opportunities for improvement within analytical methodologies that often result in significant computation overheads. This paper explores the utilization of leading AI frontiers such as Machine Learning (ML), Artificial Neural Networks (ANN), and Deep Learning (DL) in wireless communication networks. With a particular emphasis on employing Random Forest machine learning algorithms for the purpose of antenna design and optimization. A comparative analysis between machine learning algorithms and conventional design approaches is presented. This paper specifically investigates the use of the Random Forest machine learning algorithm for the optimization of the Sierpinski fractal carpet antenna. The work carried out assesses the computational feasibility enhancements and the antenna’s application viability in comparison to conventional methods, demonstrating that Random Forest machine learning algorithm yields satisfactory and superior results in antenna design and miniaturization
Solving neutrosophic critical path problem using Python
Authors: Pratyusha M. Navya , Kumar Ranjan
Published: June 2024

The study observation offers a method for project control known as the Neutrosophic Critical Path Method (NCPM) which combines the traditional Critical Path Method (CPM) with neutrosophic sets. Dealing with actual global situations that frequently pose demanding situations for CPM specifically while initiatives involve interconnected operations. The presence of uncertainties creates hurdles during challenge execution, due to incomplete and uncertain data. By illustrating surroundings for instance this research outlines the transition from CPM to NCPM and highlights its advantages. Numerical examples have been implemented for solving NCPM, that discover solutions in the face of uncertainty. Furthermore, the advanced Python software specifically designed for network evaluation permits willpower of critical route lengths. This synthesis complements selection-making in project control that paves the manner for precise management of complicated situations.
A relational rule-based system for PDF malware detection
Authors: Salame Geet C. , Shinde Nirlepa T. , Baad Prajakta P. , Kshirsagar Deepak D. , Tanwar Surendra Singh
Published: June 2024

Malware attacks are one of the significant issues in the cyber security domain. Many sectors, including financial, healthcare, IoT, etc., are affected by malicious activities through malware attacks. Every day, new malware variants are being released, and traditional solutions cannot detect new malware variants. This paper proposes a methodology using relational rules to detect Portable Document Format (PDF) malware. The methodology includes data pre-processing, relational rules, and PDF malware detection. The proposed methodology obtains 89 relational rules from PART, OneR, and JRip rule-based models. These 89 rules are applied, and the performance is tested on Evasive-PDFMal2022. The methodology achieves a higher accuracy of 99.1223% with 89 relational rules on Evasive-PDFMal2022. Further, the proposed methodology is also compared with traditional malware detection systems.
MRBUP : MapReduce based scalable user profiling in recommender system
Authors: Gautam Anjali , Bhasin Veenu
Published: June 2024

The speed at which data is generated has accelerated over the years and is predicted to grow exponentially in the future. It is preferable to pique the user’s interest by building a user profile, then filter the products based on their preferences. User profiling becomes necessary as it enables the system to understand the user’s tastes and likes from voluminous data. To build a scalable system, this paper proposes MRBUP which focuses on creating scalable user profile by using the model of MapReduce. Users in a recommender system interacts with products, which are humungous in nature. To build user profile, MRBUP practices term frequency-inverse document frequency technique. For experimental analysis, this work uses the Amazon Product Reviews dataset which defines product reviews given by users to different products in the catalog. MRBUP utilizes the product reviews given by the user to the products which are in pure textual form to generate user profile. MRBUP is executed on a Hadoop cluster of varying size and computational time is observed. Scalability MRBUP is evaluated using the usual metric of Speedup factor.
A review on edge computing with data analysis and IoT techniques
Authors: Jain Himani , Saxena Monika
Published: June 2024

The Internet of Things (IoT) has permeated people’s daily lives, giving critical measurement and data collection capabilities to inform everyone’s choices. Edge computing has developed as a new paradigm for addressing IoT and localized computing requirements as a solution for mitigating resource congestion. These methods will produce huge volumes of important data at a network edge, necessitating not just immediate data processing but also smart data analysis to properly exploit the edge big data potential. Due to their limited calculation and high latency capability, both on-device computing and traditional cloud computing cannot adequately handle this issue. The purpose of this paper is to review recent efforts on machine learning and deep learning empowered edge computing applications and to provide insights into how to influence deep learning advances to ease edge applications from different domains, namely, smart city, smart industry, smart multimedia, and smart transportation. In a comparative analysis, cloud Machine Learning (ML) has the highest 98.04% accuracy and Convolutional Neural Network (CNN) ResNet-50 has 81.06% accuracy. Additionally, emphasize the critical research issues and promising research areas associated with them. This paper will inspire additional research and contributions to this promising area.
Multimodal news document summarization
Authors: Javed Hira , Akhtar Nadeem , Beg M. M. Sufyan
Published: June 2024

With the increase in multimedia content, the domain of multimodal processing is experiencing constant growth. The question of whether combining these modalities is beneficial may come up. In this work, we investigate this by working on multi-modal content for obtaining quality summaries. We have conducted several experiments on the extractive summarization process employing asynchronous text, audio, image,and video. Information present in the multimedia content has been leveraged to bridge the semantic gaps between different modes. Vision Transformers and BERT have been used for the imagematching and similarity-checking tasks. Furthermore, audio transcriptions have been used for incorporating the audio information in the summaries. The obtained news summaries have been evaluated with Rouge Score and a comparative analysis has been done.
Gbari Personal Names: A Communicative Act and Rhetorical Features Analysis
Authors: Adeyanju Adegboye
Published: June 2024

This study is concerned with the communicative acts and rhetorical patterns analysis of Gbari Personal Names, henceforth GPN, of the Gbari of North Central Nigeria. Using a small-sized corpus of one hundred (100) GPNs, the study deploys a concatenated framework which adapts and tweaks elements mainly from Austin’s (1962) Speech Act Theory and Bach and Harnish’s (1979) Mutual Contextual Belief; in order to combine communicative and rhetorical insights on the analysis of GPNs. Data collection consists of drawing a sample from the population of the study using the quasi-formal interview method to obtain information from the respondents from the Federal Capital Territory, Abuja-Nigeria which comprises of three out of the five Area Councils where the Gbari are in the majority namely: (1) Gwagwalada, (2) Kwali and (3) Kuje. Study findings indicates that GPN system is now highly productive. New GPNs which have never been produced can be constructed especially that on the basis of current theophoric Gbari personal names, many Gbari Christians can (re)construct corresponding names either by: a recourse to the system of affixation such as Sokwo-gaa+ She-kwo-nu-che-sayi = Sokwo-nu-che-sayi/Only God gives a testimony. This name, as yet probably not an actual Gbari personal name, like many variations of personal names, are potential Gbari personal names. Also, morpho-syntactic repositioning or shifting of the subject NP (She-kwo) of many Gbari sentence names to either the middle or final positions and/or its replacement with other grammatical classes or even NPs are possible; hence many more GPNs could be generated. Consequently, study indicates there is both a resurgence as well as a decline of GPN; a resurgence due principally to Gbagyi Christians who nearly completely bear all names Gbagyi-personal as well surnames while for Gbagyi Muslims, there is an almost complete obliteration of Gbagyi names.
Growth of value added as a factor in the development of Ukrainian agriculture in the context of accelerated integration into the EU
Authors: Skydan Oleh , Bugaychuk Vita , Grabchuk Inna , Sych Karyna , Kubrak Snizhana
Published: June 2024

The development of agriculture is a key factor in the sustainable development of society in the future. The country's integration into the European community creates new opportunities for agriculture and, at the same time, requires innovative approaches to the development and competitiveness of the sector in the globalised world. The study was aimed at analysing and improving the existing strategic approaches to the development of agriculture in Ukraine based on increasing gross value added in the context of accelerated integration into the EU. A variety of methods was used, such as analytical, statistical, functional, systems analysis, deduction, synthesis, and comparison. The analysis of the development and distribution of gross domestic product and gross value added in agriculture of Ukraine and the EU, including the specifics of the development of gross value added in Ukrainian agriculture, was carried out. The influence of European integration processes on the development of agriculture, in particular, their needs and opportunities to increase gross value added, was investigated. A model of a cybernetic system with management in agriculture for the growth of gross value added in the context of accelerated integration into the EU has been developed, which allows substantiating the forecast of changes in the format of development of Ukrainian agriculture to avoid the economy as a raw material appendage of the EU. The results of the study showed that the development of agriculture in Ukraine based on increasing gross value added in the context of accelerated integration into the EU involves the use of a comprehensive strategy that considers the specifics of the industry, European innovative approaches, and best practices of in-depth processing of products of the European Union countries. The practical significance of the study was to develop specific practical recommendations and strategies for public administration bodies, agricultural enterprises to optimise the use of the available natural resource potential for the growth of agricultural production, introducing advanced technologies for its deep processing in order to accumulate gross value added, which is the basis for the development of agriculture
Artificial Intelligence-guided High-resolution Computer Tomography Assessment in Bilateral COVID-19 Pneumonia of Standalone Ayurveda Successful Case Study
Authors: Priyadarshini Shantala , N Teragundi Pannaga , S Dr Pooja
Published: June 2024

Population exposure to COVID-19 has been troubling people extensively with the involvement of upper respiratory  tract symptoms characterized by dyspnea on rest, nasal congestion, pain on cough, mild fever, constipation, insomnia  and uneasiness. Patients with multiple system involvements, ages, and compromised immunity from lower socio economic strata are all to be considered. Open demand for hospitals with all the facilities yet not too expensive has a  huge surge in patients trying to get admission, this is no secret. A 73-year old retired patient with all the above intense  symptoms showing ground-glass bilateral lung involvement was refused admission. High-resolution computer  tomography (HRCT) showed 80% parenchymal involvement; fortunately, he was not on any medication, but  oxygen saturation was <70%. Financially, he was not able to afford admission and preferred Ayurveda management,  which he was always taking. The patient was advised Ayurveda medication, followed telephonic instructions, and  overcame anxiety and fear. By the 2nd week, mild fever and constipation were controlled, but persistent coughing  and lethargy still troubled the patient. Prayers, Shavasana, and Pranayama were advised to be continued as before.  In the 2nd week, from 80%, HRCT showed 64% and a significant reduction in symptoms, and by 4 weeks, HRCT  was 8%. The evidence attached from major hospitals before, during, and after Ayurveda management also showed  a downward trend, enhancing patients confidence and well-being. The HRCT guided by artificial intelligence was  necessary to demonstrate results, decreased symptoms, and significant results that Ayurveda alone could benefit  patients much. The reverse transcriptase polymerase chain reaction conducted after therapy was negative. The patient  provided support to publish the case.
Concept of Diet in Traditional Yoga Texts: A Review
Authors: Chhetri Archana , Sharma Romesh Kumar , Chetry Dipak
Published: June 2024

The concept of yogic diet is one of the fundamental principles provided by yoga texts for the attainment of well-being. Therefore, the goal of this review was to systematically examine the specificities of yogic diet based on specific verses and how it is classified in several important ancient yogic texts, including the Hatha Yoga Pradipika (HYP), Gheranda Samhita (GS) and Bhagavad Gita (BG). In the current analysis of the classic texts, Hatha Yoga Pradipika, Gheranda Samhita and Bhagavad Gita shows that diet is discussed in eight, seventeen and six verses of these classical yogic texts respectively. The Hatha Yoga Pradipika (HYP) and Gheranda Samhita (GS) mentioned three different food categories: (1) Mitahara, (2) Pathya Ahara, and (3) Apathya Ahara. The Bhagavad Gita (BG) divided the food into three categories: (1) Swattik Ahara, (2) Rajaswik Ahara, and (3) Tamasik Ahara. In conclusion, the overall findings revealed the diverse and distinct perspective on diet in each yoga texts. Future researchers will be able to look at and compare yogic diet with modern dietary classifications and their nutritional properties. By pointing out shortcomings in the current evaluation, researchers can also use resources to conduct more thorough research on compound diets for the next study.
A Review on Pramehahara Dravya of RajaNighantu
Authors: Verma Priyanka , Soni Pradeep
Published: June 2024

Background: Nighantus plays an important role in Ayurveda as they give knowledge about herbo-mineral drugs  and describe their properties in easy manner. There are many drugs described in Brihatrayee and Laghutrayee which  show Pramehahara effects. After Samhita period, many Nighantus came. RajaNighantu as per name is the raja  of all Nighantus. There are 23 Varga’s in RajaNighantu. Prameha is the Santarpana Janya Vyadhi. Twenty types  of Prameha are described in Charaka Samhita, which includes 10 types of Kaphaj Prameha, six types of Pittaj  Prameha, and four types of Vataj Prameha. Diabetes mellitus can correlate with Madhumeha, which is a type of  Vataj Prameha. Purpose: This study’s goal is to compile a list of RajaNighantu’s beneficial herbs for Prameha/DM. Materials and Methods: Journals, the internet, and other appropriate ayurvedic and modern literatures were used in  addition to RajaNighantu to gather knowledge on the subject. Results and Discussion: RajaNighantu described 51 dravyas for the treatment of Prameha. Among them 37  Audbhida dravya, seven Parthiva dravya, and four Jangam dravya as Pramehahara. Apart from these, Shritasita  jala, Puranaguda, and Madhavi madya are also described as Pramehahara. According to the Rasa, 15 had Madhur rasa, 13 had Tikta rasa, seven had Katu rasa, four had Kashaya rasa, one had Amla rasa, and one had Lavan rasa,  respectively. Diabetes mellitus (DM) describes a collection of related metabolic  disorders that are characterized by hyperglycemia. Genetics and  environmental factors combine intricately to generate multiple kinds  of DM. Reduced insulin secretion, decreased glucose utilization, and  increased glucose production are some of the factors that contribute to  hyperglycemia, depending on the etiology of the diabetes. The metabolic  dysregulation linked to DM results in secondary pathophysiologic  alterations in various organ systems, which significantly impact both  the diabetic patient and the health-care system.[1] India is becoming  the global hub for diabetes due to the rising prevalence of this illness.
A Review on Arshoghna Dravyas (Anti-Hemorrhoidal Drugs) of Dhanvantari Nighantu
Authors: Saini Priyanka , Mishra Rajesh Chandra
Published: June 2024

Medicinal plants, animal products, metals, and minerals have traditionally been a source of medicine in India through  diverse systems of medicine such as Ayurveda. Ayurveda is one of the earliest forms of medicine. It prioritizes  complete bodily health over disease management. Arsha are regarded as Piles (Hemorrhoids) in contemporary  medicine. One typical anal-rectal issue is Piles. These are swollen and distended veins located around the rectum and  anus. According to Ayurveda, the anus is called Gud and has three Valis (muscle folds) named Pravahini, Visarjani,  and Savarini. Piles are seen in these three folds. A lot of medicines for the management of Piles have been described  in Ayurvedic texts such as Charaka samhita, Sushruta samhita, Vagbhata samhita, and various types of nighantus.  Dhanvantari nighantu is one of them and it is the oldest Ayurvedic materia medica which was compiled between  8th and 10th century A.D. The original name of this dictionary is Dravyavali samuchaya. Out of the total dravyas, 52  dravyas and certain types of oils and Sarvoushadi group of drug are described for the treatment of Piles in the entire  treatise of Dhanvantari nighantu. This essay aims to concentrate on the data found in Dhanvantari nighantu about  Arshoghna Dravyas.
The Delightful and Vibrant Natural Beauty of Kashmir: The Mystical Paradise on Earth
Authors: Mr. Prasenjit Ghosh
Published: June 2024

The culture and traditions of Kashmir are a rich and varied mosaic that has been made over hundreds of years. Located in the northernmost part of India, Kashmir has been influenced by a numerous of cultures and religions, resulting in a unique blend of traditions and practices. The people of Kashmir are known for their warm hospitality, intricate handicrafts, delicious cuisine, and music and dance that reflect their heritage. Despite its beauty and richness, Kashmiri culture has faced challenges such as conflict, displacement, and environmental degradation, Kashmiri culture and traditions have remained resilient and continue to thrive. By exploring the unique practices and customs of the Kashmiri people, this paper aims to highlight the beauty and richness of their cultural heritage and the importance of preserving it for future generations.
Autism Spectrum Disorder Detection
Authors: Prof. Ayesha Khan  , Mr. Aishwary Mahore  , Ms. Aishwarya Boharupi  , Ms. Akanksha Lohakare  , Mr. Alpesh Muneshwar  , Mr. Amey Dhote  , Ms. Harshita Tripathi
Published: June 2024

Autism spectrum disorder (ASD) is a complex neuro developmental condition affecting social interaction and communication skills. Current diagnostic methods often rely on structural and resting-state functional magnetic resonance imaging (fMRI) with limited datasets, leading to high accuracy but limited generalizability. To address this, machine learning, pattern recognition, and other techniques have been used, achieving high accuracy but moderate generalization. This study introduces a novel approach to ASD detection using deep learning (DL), specifically a Convolutional Neural Network (CNN) classifier. By leveraging anatomical and functional connectivity indicators from fMRI data, our model aims to enhance the automated diagnosis of ASD. The proposed approach demonstrates significant improvement over existing methods, achieving an accuracy of approximately 85% in classifying autistic patients. Through the utilization of a ResNet model, this work showcases the potential of DL in advancing the accuracy and reliability of ASD diagnosis
EFECTO DE LA FERTILIZACIÓN ORGÁNICA EN EL CRECIMIENTO Y CALIDAD NUTRITIVA DEL PASTO Panicum maximum cultivar Miyagui
Authors: Polo Edgar , Urieta Sebastián , Moreno Yaliska
Published: June 2024

Con la finalidad de evaluar el efecto entre las aplicaciones de diferentes dosis de fertilizante orgánico sobre el crecimiento y calidad nutricional del forraje producido por el pasto Panicum maximum cv. Miyagui, se planteó la siguiente investigación.  Se condujo el siguiente experimento en el Instituto Profesional y Técnico México-Panamá ubicado en Tanara, distrito de Chepo, Provincia de Panamá. La ubicación geográfica corresponde a los 09°08’ Latitud Norte y 79°12’ Longitud Oeste.  Se evaluaron cinco dosis orgánicas (0, 5.0, 10.0, 15.0 y 20 ton/ha) de fertilizante procedente de cama de gallinero. Se implementó un diseño experimental de bloques completamente al azar y tres repeticiones. El área de la parcela experimental fue de 4.0 m2. Las variables evaluadas fueron: altura de la planta (cm), cobertura (%), rendimiento de materia seca (kg/ha), materia seca (%), proteína cruda (%), fibra cruda (%), cenizas (%) y fósforo (%). El análisis estadístico mostró a los 40 días de rebrote que no se encontró diferencias significativas (P>0.05) sobre todas las variables estudiadas. Cuando la biomasa de hojas fue mayor, la altura de plantas declinó como consecuencia del aumento progresivo en material muerto y tallos en la dosis de 20 ton/ha, tendencia similar ocurrió en la cobertura. Cuando se incrementaron las dosis de abono orgánico se observó un incremento en las variables rendimiento de materia seca (0 ton/ha; 3472 kg/ha, 5.0 ton/ha; 3773 kg/ha, 10.0 ton/ha; 4033 kg/ha, 15.0 ton/ha; 4554 kg/ha y 20.0 ton/ha; 4451 ton/ha, aunque estadísticamente no hubo diferencias significativas. Los contenidos de materia seca presentaron porcentajes que iban de 18.13 hasta 19.04%. Los contenidos de proteína que se obtuvieron en el ensayo fluctuaron entre valores de 9.10 a 10.6 %. En todos los tratamientos la fibra cruda presento rangos por el orden de 12.0 a 14.60 %. Los contenidos de fósforo que derivaron de este estudio están en el rango de buenos y considerados altos.
EVALUACIÓN LINEAL EN CABRAS LECHERAS (Capra hircus) Y EL USO DE ANÁLISIS MULTIVARIADOS PARA LA SELECCIÓN FENOTÍPICA
Authors: Cedeño Héctor , Reyes Edwin , Saavedra Roberto , Pile Edwin , Mudarra Richard , Guerra Reggie , Pimentel Tamara , Grajales Joseph
Published: June 2024

El objetivo del presente estudio fue evaluar la selección fenotípica de cabras lecheras Saanen y Parda Alpina utilizando la calificación lineal en las características morfológicas, lineales y la habilidad lechera. Se utilizaron 20 cabras adultas entre 2 a 6 años, 10 animales Saanen y 10 Parda Alpina. La evaluación lineal se realizó a los 45 días postparto. En este estudio se evaluaron 27 variables, tres morfológicas, dos productivas y 22 lineales procedentes de cuatro regiones corporales, las cuales fueron divididas en la apariencia general y capacidad (25 puntos), estructura y fortaleza lechera (15 puntos), sistema mamario (40 puntos) y patas y pezuñas (20 puntos) con un total de 100 puntos. Los rasgos y variables fueron analizadas utilizando análisis de varianza y componentes principales (ACP). Hubo efecto racial (p<0,05) en los rasgos de estructura y capacidad, estructura lechera y el sistema mamario. Sin embargo, no hubo diferencias (p>0,05) para patas y pezuñas. La calificación final, peso vivo, perímetro torácico, altura de la cruz, producción de leche diaria y total a 250 días de lactancia fueron diferentes (p<0,05) entre las razas. El ACP explicó 79,90% de la varianza de los datos. En conclusión, el análisis comparativo de las variables morfológicas, lineales y productivas permitió caracterizar a las razas Saanen con mayor habilidad lechera, con buenas conformaciones de estructura lechera y capacidad funcional. El análisis de componentes principales es una técnica estadística que permite separar las diferencias fenotípicas entre las razas Saanen y Parda Alpina,  y también puede identificar de manera eficiente los individuos más sobresalientes de ambos grupos raciales.
PREVALENCIA DE NEMÁTODOS GASTROINTESTINALES EN EQUINOS DE GRANJA DE COMUNIDADES RURALES EN ALGUNAS PROVINCIAS DE PANAMÁ
Authors: Pile Edwin , Chang Andrés , Chang Euribiades , Warboys Debbie , Rosas Rommel , Bravo Olga
Published: June 2024

Este estudio evaluó la prevalencia de nemátodos gastrointestinales en caballos de granja de comunidades rurales en algunas provincias de Panamá. Para ello, se recolectaron muestras de heces y se aplicaron técnicas coproparasitológicas para determinar la presencia de los géneros Trichostrongylus spp, Strongyloides sp, Strongylus spp y Parascaris spp. Los resultados mostraron que la edad de los caballos se asoció con altos índices de infestación, siendo los machos más jóvenes aquellos más afectados. Los nemátodos más prevalentes fueron Trichostrongylus spp (x? = 720hpg) y Strongylus spp (x? = 655hpg). Se recomienda la implementación de medidas preventivas apropiadas para disminuir la infestación/infección por estos parásitos y mejorar así el bienestar y salud de los caballos, así como prevenir enfermedades relacionadas con el mismo.
Pedidos de informação na fala.br: uma análise baseada nas dimensões da competência em informação
Authors: Batista Pereira Welington , Leandro da Mata Marta
Published: June 2024

Objetivo: Analisar o percentual de decisões sobre as respostas dos pedidos de informação da população disponibilizados pela Plataforma Integrada de Ouvidoria e Acesso à Informação - Fala.BR em consonância com as dimensões técnica, ética, estética e política da competência em informação. Salienta-se que essas dimensões foram cunhadas por Vitorino e Piantola (2011).
Método: Trata-se de uma pesquisa exploratória-descritiva, com abordagem quantitativa, o corpus pesquisado é a Plataforma Fala.BR, com um universo de pesquisa composto por 368.624 pedidos de informação pela população brasileira.
Resultado: Observou-se que em todos os contextos regionais e educacionais, a decisão "Acesso Concedido" teve a maior proporção. Pautando-se pelas dimensões da competência em informação, esses dados sugerem que há uma certa necessidade informacional sendo suprida, e pode-se inferir a presença de habilidades relacionadas à dimensão técnica.
Conclusões: Diversos profissionais lidam com informações em suas atividades cotidianas e a indústria da informação promoveu mudanças nas habilidades profissionais e nas relações sociais. A discrepância entre as expectativas dos solicitantes de informação e as respostas dos órgãos responsáveis pode indicar dificuldade de acesso à informação e falhas na implementação da transparência pública. A Plataforma Fala.BR apresenta oportunidades para melhorar os serviços de informação, mas a ausência de educação em competência em informação limita a participação cidadã. A sensibilização dos gestores públicos e a educação em competência em informação oferecem oportunidades para mudanças nas atitudes dos cidadãos em relação à responsabilidade social.
Aldi Nord baut Einkaufsspitze um
Authors: Schulz Hans-Jürgen
Published: June 2024

Ein ehemaliger Lidl-Mann wird neuer Einkaufschef von Aldi Nord. Er soll das Eigenmarkengeschäft vorantreiben und international stärker koordinieren und bündeln.
„Wir haben wirklich aufgeräumt“
Authors: Schulz Hans-Jürgen
Published: June 2024

Theo Albrecht hat ihn eingestellt. Seither war Jürgen Schwall über 30 Jahre bei Aldi Nord tätig. Im Alter von 60 Jahren scheidet er jetzt aus. Mit der LZ sprach er über die Anfänge bei Aldi und den Umbau der Einkaufsstrukturen.
„Drei Marken im Fokus“
Authors: Fries Tanja
Published: June 2024

Der Niederländer Jan Kruise verantwortet seit November 2023 das DACH-Geschäft von Mondelez International. Zuvor war der 56-Jährige unter anderem für FrieslandCampina, Kraft Heinz und Unilever tätig.
Rückschlag für Tegut bei Ausgabeautomaten
Authors: Bender Hanno
Published: June 2024

Im Streit um Warnhinweise auf Zigarettenausgabeautomaten konnte die Initiative „Pro Rauchfrei“ abermals einen Etappensieg gegen Tegut erzielen.
Ringen um UTP-Novelle
Authors: Bender Hanno , Falker Gerrit-Milena
Published: June 2024

Da der Reformprozess zum AgrarOLkG ins Stocken geraten ist, melden sich nun sowohl Industrie als auch Handel zu Wort. Während die Erzeuger eine Verschärfung des Gesetzes fordern, warnt der HDE vor Schnellschüssen.
In weiter Ferne
Authors: Busche Jenny
Published: June 2024

30 Prozent Ökolandbau in Deutschland bis 2030 – das Ziel ist schwierig zu erreichen. Was noch passieren müsste, damit es gelingt. Jenny Busche
„Es geht nicht um Vorzeigeprojekte“
Authors:   Busche., Jenny
Published: June 2024

Ein Gespräch mit der Nestlé-Deutschland-Nachhaltigkeitschefin Anita Wälz über Klimaschutz im Kuhstall, die schwierige Umstellung auf Papierverpackungen und die Ausdauer, die es braucht, um Projekte in die Breite zu bringen.
Powerkörner in der Formkrise
Authors: Henning Gabriele Calvo
Published: June 2024

Bulgur, Couscous und Co. gelten als pflanzliche Proteinlieferanten. Eigenmarken gewinnen und Marken setzen auf conveniente Produkte. Gabriele Calvo Henning
Marken unter Druck
Authors: Kühn Iki
Published: June 2024

Verbraucher sind preissensibler geworden und kaufen bewusst ein. Das gilt für Teigwaren und Saucen ebenso wie für Reis. In allen Kategorien ist der Aktionsanteil weiter nach oben geklettert.
Bela entwickelt KI und digitalisiert
Authors: Giuri Maurizio
Published: June 2024

Bartels-Langness wagt an vielen Stellen Neues bei der Digitalisierung seiner Infrastruktur. Ein KI-Modell trainiert der Kieler Händler gerade für seine Mitarbeiter. Tests mit Digitalen Zwillingen und smarten Einkaufswagen sollen den Service auf der Fläche verbessern.
Galeria will zurück zu Payback
Authors: Konrad Jörg , Tewes Werner
Published: June 2024

Galeria Karstadt Kaufhof plant in Sachen Kundenbindung die strategische Kehrtwende: Nach LZ-Recherchen will der Warenhauskonzern bei Payback andocken. Für das bisherige Treueprogramm sind das keine guten Vorzeichen.
Mehr Fokus auf Mitarbeiter
Authors: Wittenhagen Julia
Published: June 2024

Die guten Jobchancen in Deutschland machen es für den Einzelhandel immer schwerer, Mitarbeiter zu finden. Denn die Arbeit gilt als hart, überstundenreich und schlecht bezahlt. Bevor ausscheidende Babyboomer die Knappheit verschärfen, raten zwei Ehemalige und die Handelsberaterin Silvia Talmon zur Neujustierung.
Rewe räumt die meisten Auszeichnungen ab
Authors: Konrad Jörg , Lattmann Christian , Nusser Bernd
Published: June 2024

Neben der Rewe-Gruppe gehören Rossmann, Globus, Edeka und Metro zu den Gewinnern eines „Salute to Excellence Awards 2024“. Die Fachjury lobt besonders die stetig verbesserten Einreichungen in den Bereichen Nachhaltigkeit und Gesundheit. Doch nicht nur die Preisträger trumpften mit Neuheiten auf.
Arbeitsrecht mit Ökologie bei der GAP-Reform verquickt
Authors: Pehl Patrick
Published: June 2024

Berlin. Am Montag fand im Deutschen Bundestag eine Fachanhörung mit sieben Sachverständigen zu den Änderungen des GAP-Konditionalitäten-Gesetzes (GAPKondG) statt. Der vom Bundeslandwirtschaftsministerium (BMEL) vorgelegte Gesetzentwurf zielt darauf ab, die einschlägigen EU-Verordnungen anzupassen und arbeitsrechtliche Vorschriften in die Konditionalitäten einzubeziehen.
Reformismo y guerra: una evaluación de la nacionalización bancaria de El Salvador
Authors: Valdés Mauricio
Published: June 2024

Evaluación de las consecuencias de la reforma bancaria sobre la organización y las políticas de los bancos comerciales, el Banco Central de Reserva y la autoridad monetaria oficial del país (la Junta Monetaria). El análisis confirma el poco avance de la coalición reformista, gobernante desde 1980, en la implantación de su agenda socioeconómica.
Más específicamente, la evaluación muestra que si bien la reforma bancaria ha transformado la estructura administrativa de los bancos comerciales y el sistema financiero como un todo, no satisface los criterios establecidos por el decreto de nacionalización y, de hecho, los contradice; y que, siete años después de la nacionalización, los patrones tradicionales del crédito bancario no han sido alterados de manera perceptible. La causa fundamental de estos resultados radica en la persistencia de la guerra civil y las posibles medidas correctivas no tendrán efectos positivos, y probablemente no se podrán ejecutar mientras continúen las hostilidades.
ECA Estudios Centroamericanos, Vol. 44, No. 492, 1989: 791-808.
Tricolored blackbird survey methods
Authors: Airola Daniel , Beedy Edward  C. , Sanders Susan , Medley Joseph
Published: June 2024

Surveys for the tricolored blackbird (Agelaius tricolor), a California-listed threatened species, are needed to provide essential information about its status and distribution to support conservation efforts. Surveying for the species, however, poses challenges because of its colonial nesting habits, large flock sizes, and frequent interannual movements among colony sites. We present standardized approaches for tricolored blackbird surveys to accommodate a variety of goals, including determining potential for occurrence, detecting colonies, estimating population numbers, and assessing nesting success. Pre-survey research should assess overlap with the species’ geographic range and include database searches for recent and historical occurrences. Site surveys should assess availability of sufficient suitable foraging habitat (grasslands, irrigated pasture, shallow wetlands, agricultural fields) within 5 km of potential nesting habitat and nearby drinking water. Confirming presence or absence of nesting at a historical colony site, or at an area within the range of the tricolored blackbird that provides suitable nesting and foraging habitat, requires at least three surveys conducted about three weeks apart during the breeding season, generally April, May, and June in most of the species’ range. Colonies can be located by searching for foraging flocks and following them to colonies and by checking for nesting activity at suitable nesting substrates, especially those used in the past. Surveyors can estimate numbers from counts of foraging flocks departing and arriving at colonies, average density and area occupied by the nesting colony, and post-nesting density transects. Colony nesting success (i.e., whether a colony successfully fledged some young), is easily determined and is often the only feasible metric to attain on reproduction. Determining reproductive success (the average number of young fledged per occupied nest) may be feasible under ideal and intensive surveys but is impractical at many colonies due to accessibility limitations.
Aventuras y desventuras de la enseñanza del marxismo en Cuba
Authors: López Lezcano Guillermo
Published: June 2024

Los problemas asociados a la enseñanza del marxismo en Cuba posterior al triunfo de la revolución cubana en enero de 1959, han transcurrido por distintas etapas de creación, debate, discusión y censura. Estos se han ido manifestando de formas disímiles en cada uno de ellas, de modo que pueden apreciarse puntos de conexión y ruptura en este recorrido hasta la actualidad. A las incursiones en el tema por parte de estudiosos del mismo y sus expresiones editoriales en el período mencionado se dedicará el siguiente trabajo, con el propósito de sistematizar y poner en tela de juicio las ideas futo de estas experiencias intelectuales en su estrecho vínculo con la política, en aras de continuar reformulando y enriqueciendo las áreas de influencia en la sociedad cubana del marxismo.
Realidad desbordada
Authors: García Ernesto del Valle , Rojas Capote Yosnier
Published: June 2024

El pensamiento moderno se ha caracterizado por enunciar en su discurso la pretensión epistémica de un saber universalista, eurocentrista y en extremo racionalista. Este no solo ha dejado fuera de sus marcos a otras culturas y sociedades, sino también saberes y dimensiones antropológicas del ser humano que preceden al desarrollo y despliegue de la razón como facultad. Tal es el caso de la imaginación, facultad humana destinada a ocupar un lugar problemático y ambiguo en la historia de las ideas de occidente; marginada por aquellas posturas historiográficas que interpretan el nacimiento de la ciencia como una disputa entre mito y logos. Donde las fantasías, sueños, ensoñaciones, revelaciones y experiencias místicas, carecen de estatus ontológico y están condenados a vivir en los límites de la ratio occidental. Frente a dicha desvalorización ontológica de la imaginación, y teniendo en cuenta la hermenéutica simbólica de Jung, y de otros autores afines, el presente artículo de corte ensayístico, tiene como finalidad el abordaje de la dimensión simbólica trascendente de la experiencia daimónica. La figura mitológica del daimon, como símbolo y no en su sentido literal y directo. Bajo la figura del daimon se puede comprender mejor la función unificadora del símbolo como dinamizador de la psique, que permite la conjunción de los opuestos como vehículo de la imaginación.
Effects Combination of Purple Sweet Potato Tub Ethanol Extract (Ipomoea batatas L.) And Atorvastatin on Levels Low-Density Lipoprotein and Intima-Media Thickness of The Aorta in Male Wistar Rats (Rattus norvegicus) Exposed to A High Fat Diet
Authors: Lestari Putu Dian Pratita , Yasmin Anak Agung Ayu Dwi Adelia , Wiryawan I Nyoman
Published: June 2024

Background: Coronary heart disease (CHD) is still the leading cause of morbidity and mortality. Preventive measures are very important-density lipoprotein (LDL) and aortic intimal-media thickness (IMT) are associated with cardiovascular events. Statins are not optimal even though their efficacy has been proven. Purple sweet potato extract has been shown to have the potential to lower LDL and have antioxidant effects. Objective: Assessing the effect of the combination of ethanol extract of purple sweet potato tubers and atorvastatin on LDL levels and aortic IMT in male Wistar rats exposed to a high-fat diet. Method: An experimental study with a posttest-only posttest control group design. The total sample was 25 mice, all receiving a high-fat diet. Rats were divided into control groups and 3 treatments, namely P(1) atorvastatin 1.4 mg/day, P(2) ethanol extract of purple sweet potato tubers 3 ml/day, P(3) atorvastatin 1.4 mg/day + ethanol extract purple sweet potato tubers 3 ml/day. At week 9, LDL levels and aortic IMT were checked. Results: There is a significant difference in LDL between the treatment and control groups. The combination group had the lowest mean LDL compared to the other groups P1:20.10±1.03μg/ml; CI95%22.81–23.77μg/ml; p<0.001; P2: 23.29±0.57μg/ml CI95%22.81–23.77μg/ml; p<0.001; P3: 15.93±0.76μg/ml; 95%CI15.30-6.57μg/ml; p<0.001). The ability of single therapy of atorvastatin and purple sweet potato extract was not significantly different in reducing the mean aortic IMT P1: 46.39±3.81μm; CI95% 43.20–39.58μm; p <0.001; P2: 49.93±4.3μm; CI 95% 46.33–53.53μm, p<0.001 The combination of atorvastatin and ethanol extract of purple sweet potato tubers can reduce the mean aortic IMT compared to the single therapy group (P3: 41.22±1.99μm; CI95% 39.55–42.88μm; p<0.001). Conclusion: The combination of atorvastatin 1.4 mg/day and ethanol extract of purple sweet potato tubers 3 ml/day significantly reduced LDL levels and aortic IMT compared to the control group and single therapy.
Optimization of Direct Passive Solar Dryer and Raised Drying Platform for Cassava Drying
Authors: Menya James , Tumutegyereize Peter , Kabenge Isa , Kigozi Julia
Published: June 2024

Cassava (Manihot esculenta, Crantz) is one the most important root crops in the world, providing energy to consumers due to the large amount of carbohydrates. However, farmers face the challenge of post-harvest losses of the crop. In order to avoid post-harvest losses, farmers have been engaged in traditional processing through peeling and drying chips to make flour and other products. Sun drying on a raised drying platform and direct passive solar dryers as the most used drying methods face the challenge of poor-quality dried cassava due to factors like inappropriate cassava chip size, poor drying layer depth, and long drying time. This study therefore sought to optimize these two cassava drying methods so as to improve the quality of dried cassava chips and the subsequent products. Randomized complete block design experiments were conducted and the measurements considered were drying time, moisture content, and microbial contamination in terms of Total plate count (TPC), Total coliforms (TC), and Yeast and moulds (YM). Models to predict moisture content for cassava chip size and drying layer depth were also generated. Results show that for all cassava chip sizes, there was no significant difference in drying time for drying layer depths of 3cm and 5.5cm. The optimal cassava chip sizes were 5cm arc length and 2 cm arc length for the raised drying platform and passive solar dryer respectively. Samples of drying layer depth of 3cm were least contaminated by coliforms and total plate count. Statistical analysis showed that for both drying technologies, individual factors of chip size and drying layer depth did not significantly affect the TPC (p>0.05). Samples from a 3cm drying layer depth were least mouldy and could therefore be stored for a longer time yet samples dried in a solar dryer had higher counts of yeast and moulds compared to those dried on a raised platform.
Preoperative and Postoperative Comparison on Patients with Total Knee Replacement based on the OKS, KOOS-JR, and KOS-ADLS Scoring Systems
Authors: Rifqiaulia Naufaldy , Afrian MDS Jifaldi , Faridyan Brian V.
Published: June 2024

Background: Total knee replacement (TKR) is indicated if initial management fails to control symptoms. Clinical and functional assessments in patients who are planned for TKR are essential in order to provide better results. The aim of this study was to assess pre-operative and post-operative clinical and functional comparisons using three assessment systems in patients who had undergone TKR. Methods: This was an observational analytical study with a cross-sectional approach on 25 subjects with osteoarthritis who had undergone total knee replacement surgery who attended routine control at the Polyclinic from September to October 2023 at the Orthopedics and Traumatology Polyclinic at Siti Khodijah Hospital, Sidoarjo, Indonesia. Results: This study showed that postoperative clinical and functional results provided good results. The results of the three scoring systems showed postoperative clinical and functional improvement evaluated by KOOS-JR (-11,720 ± 7,357), KOS-ADLS (16,840 ± 10,371), with the most significant improvement assessed by the OKS scoring system (18,520 ± 9,175). The patient’s clinical and functional outcomes are better after TKR surgery based on three scoring systems, namely OKS, KOOS-JR, and KOS-ADLS. Conclusion: In this study, treatment with TKR provides better clinical outcomes and functional improvements such as the disappearance of pain, being ability to walk long distances, full knee extension, and gradual knee flexion as seen from the improvements in clinical scores and postoperative knee functional scores using the OKS, KOOS-JR, and KOS-ADLS scoring systems. The assessment system that provides the greatest improvement is the OKS assessment system.