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Efficient water management is essential for sustainable agricultural production, particularly in arid and semi-arid regions where water resources are limited. Machine-learning-based irrigation systems…

Efficient water management is essential for sustainable agricultural production, particularly in arid and semi-arid regions where water resources are limited. Machine-learning-based irrigation systems can support automated pump-operation decisions using environmental and soil-related sensor data. However, most previous studies have focused on individual machine-learning models, while the application of stacked ensembles to binary irrigation pump-status prediction remains relatively limited. This study proposes a stacking-based framework for predicting irrigation pump operation in an ON/OFF classification setting. The framework uses environmental and soil-related variables, including soil moisture, temperature, humidity, and a numerical time-related feature. Random forest (RF), extreme gradient boosting (XGBoost), and multilayer perceptron models were trained as base learners, and their out-of-fold (OOF) predictions were combined using a logistic-regression meta-learner. The models were evaluated on a held-out test set using accuracy, precision, recall, specificity, and F1-score. The individual models achieved accuracies ranging from 97.34% to 99.95%, with XGBoost providing the best individual performance. The proposed stacking ensemble achieved 99.97% accuracy, 99.94% precision, 100.00% recall, 99.94% specificity, and a 99.97% F1-score. Compared with XGBoost, the ensemble further refined predictive performance, improving accuracy by 0.02 percentage points and F1-score by 0.01 percentage points while achieving complete elimination of false negatives (100.00% recall). These results demonstrate the potential of stacked ensemble learning to improve binary pump-operation prediction and support data-driven irrigation management in water-limited environments.

Resumen: Este estudio aborda, entre otros asuntos, cuestiones relacionadas con el uso de la inteligencia artificial y la planificación de las vacaciones, así como preguntas sobre la…

Resumen: Este estudio aborda, entre otros asuntos, cuestiones relacionadas con el uso de la inteligencia artificial y la planificación de las vacaciones, así como preguntas sobre la percepción de la situación socioeconómica y sociopolítica y relacionadas con valores políticos y comportamiento electoral.   Como citar: Fundación CENTRA (2026). Barómetro Andaluz de Junio de 2026 [Data set]. Centro de Estudios Andaluces. https://doi.org/10.5281/zenodo.22936620 Datos de contacto para aclarar dudas técnicas: investigacion@fundacioncentra.es Financiación:Fundación Centro de Estudios Andaluces (CENTRA) Licencias de uso/restricciones impuestas a los datos: Este dataset está publicado en acceso abierto y puede ser usado, realizando la pertinente atribución a los autores. Ver todos los términos y condiciones de la licencia Creative Commons que aparecen en el registro de Zenodo: https://doi.org/10.5281/zenodo.22936620 Enlaces a publicaciones que citen o hagan uso de los datos: Enlace a la publicación en PDF (ficha técnica, cuestionario, tablas de frecuencia, estimación de voto y cruces bivariables de datos): https://doi.org/10.54790/barometro.202606 Enlaces/relaciones con conjuntos de datos auxiliares: Enlace a otros barómetros: https://doi.org/10.54790/barometro Lista de ficheros: README_Barometro_Andaluz_Junio_2026.txt Diseño_de_Registro_Barometro_Andaluz_Junio_2026.xlsx (descripción de los códigos de las variables y etiquetas del archivo de datos) Barometro_Andaluz_Junio_2026.xlsx (dataset en formato XLSX) Barometro_Andaluz_Junio_2026.csv (dataset en formato CSV) Barometro_Andaluz_Junio_2026.sav (dataset en formato SAV) Relación entre los ficheros:Los ficheros CSV y XLSX se han obtenido a partir del fichero SAV Descripción de los métodos utilizados para la recopilación/generación de datos: -Ámbito: Comunidad Autónoma de Andalucía.-Universo: Población de ambos sexos de 18 años y más, con ciudadanía española y residentes en cualquier municipio de Andalucía.-Diseño muestral: 3.600 entrevistas, realizadas mediante metodología CATI aplicada a móviles (70%) y fijos (30%).-Distribución de la muestra: las 3.600 entrevistas se han realizado de acuerdo con la estructura diseñada atendiendo al último censo de población disponible (2024) del Instituto de Estadística y Cartografía de Andalucía.-Procedimiento de muestreo: realizado mediante un criterio de compromiso entre la afijación uniforme y la proporcional. Tras asignar 200 entrevistas a cada una de las ocho provincias, el resto, hasta 3.600, se distribuye proporcionalmente según la población residente. Los estratos están formados por el cruce de las ocho provincias con el tamaño de hábitat de sus municipios, divididos en cinco categorías: menor o igual a 10.000; de 10.001 a 20.000; de 20.001 a 50.000; de 50.001 a 100.000 y más de 100.000 habitantes.La selección de individuos se ha realizado mediante una selección aleatoria en cada estrato, de acuerdo a cuotas cruzadas de sexo y edad, según el último Padrón Municipal de Habitantes disponible. Los tramos de edad a emplear son: 18-24, 25-34, 35-44, 45-54, 55-64, 65-74 y 75 y más.-Error muestral: El error muestral para el total de la muestra es del ±1,63% para el 95% (p=q=50%). Los márgenes de error provinciales son: Almería, ± 5,31%; Cádiz, ±4,31%; Córdoba, ±4,94%; Granada, ±4,77%; Huelva, ±5,45%; Jaén, ±5,17%; Málaga, ±4,15%; y Sevilla, ±3,73%.-Trabajo de campo: del 19 de junio al 2 de julio de 2026.-Dirección Científica: Dirección de la Fundación CENTRA. Procedimiento de control de calidad realizado en los datos: La presente investigación está visada por el Colegio Oficial de Ciencias Políticas y Sociología de Andalucía con objeto de ratificar que el proyecto está dirigido por un/a profesional colegiado/a, garantizar la capacidad técnica y deontológica de la dirección del trabajo así como establecer un control de calidad de la investigación mediante la evaluación externa del 16.67% de la muestra. Los trabajos de control de calidad realizados son los siguientes: -Supervisión Ficha Técnica del Estudio: supervisión Ámbito de estudio, Universo, Tamaño y distribución de la muestra, Procedimiento de Muestreo, Error Muestra, Temporalidad y Trabajo de Campo. -Revisión y control de calidad Trabajo de Campo CATI: Comprobación de la base de datos telefónica empleada, Comprobación del muestreo realizado por sexo, edad, provincia, tamaño de hábitat y código postal.-Comprobación de la correcta aplicación del cuestionario: Contenido, Tiempo de realización y Sesgos. -Revisión de la batería de preguntas del cuestionario utilizado. -Revisión de los protocolos éticos, anonimatos y protección de datos de los/as entrevistados/as. Comité Científico: -Andrés Tristán Pertíñez Blasco  -Mª Eladia Illescas Estévez  -Raúl Lucena Martínez  Tratamiento de datos: -Rubén Martín Gimeno  -Ana Rocío Andreu Pérez-Diego De Haro Gázquez Publicación y divulgación: -Rafael Corpas Latorre -Patricia Illana Sanmiguel-F. Daniel Montes García Información específica de los datos: Número de variables: 116 Número de casos/filas: 3.600 Lista de variables: Consulta documento: Diseño_de_Registro_Barometro_Andaluz_Junio_2026.xlsx Códigos de datos faltantes:  -Codificación de la No Respuesta Parcial: 98-No sabe; 99-No contesta.-Valores faltantes por filtros del cuestionario: campo vacío.   

Ushbu tadqiqotda antropogen transformatsiyaga uchragan Orol dengizi havzasining turli gidrologik va gidrokimyoviy rejimga ega bo‘lgan ichki suv havzalarida chavoq baliq (Rutilus rutilus Linnaeus…

Ushbu tadqiqotda antropogen transformatsiyaga uchragan Orol dengizi havzasining turli gidrologik va gidrokimyoviy rejimga ega bo‘lgan ichki suv havzalarida chavoq baliq (Rutilus rutilus Linnaeus, 1758)ning zamonaviy tarqalishi, biotopik taqsimoti hamda asosiy biologik ko‘rsatkichlari (chiziqli o‘lchamlari, tana vazni, Fulton semizlik koeffitsiyenti) qiyosiy tahlil qilingan. Tadqiqot materiallari 2021–2025-yillar davomida Aydar-Arnasoy ko‘llar tizimi (Aydarko‘l, Tuzkon) hamda Zarafshon daryosi quyi havzasining qoldiq va kollektor ko‘llaridan (Sho‘rko‘l, Zamonbobo) to‘plangan (). Aniqlanishicha, R. rutilus o‘rganilgan barcha gidrotizimlarda o‘zining yuqori ekologik plastikligini (evrigalinlik va evrifagiya) namoyon etib, ixtiotsenozlarning dominant komponenti bo‘lib qolmoqda. Suvning minerallashuv darajasi 1.4 g/l dan 8.2 g/l gacha bo‘lgan oraliqda populyatsiyalarning o‘sish ko‘rsatkichlari va semizlik parametrlarida statistik jihatdan ishonchli farqlar () aniqlandi. Olingan natijalar ichki suv havzalari bioresurslaridan oqilona foydalanish va aborigen ixtiofauna monitoringini yuritishda ilmiy-amaliy asos bo‘lib xizmat qiladi.

So‘nggi yillarda farmatsevtika sanoatida faol moddalarning bioavailligini oshirish, ularni maqsadli organ va to‘qimalarga yetkazish hamda yon ta’sirlarini kamaytirish masalalari aloh…

So‘nggi yillarda farmatsevtika sanoatida faol moddalarning bioavailligini oshirish, ularni maqsadli organ va to‘qimalarga yetkazish hamda yon ta’sirlarini kamaytirish masalalari alohida dolzarblik kasb etmoqda. An’anaviy dori shakllari ko‘pincha suvda kam eriydigan faol moddalarning to‘liq so‘rilishini ta’minlay olmaydi, bu esa terapevtik samaradorlikni pasaytiradi. Ushbu muammoni bartaraf etishda nanotexnologiyalar asosida ishlab chiqilgan dori tashuvchi tizimlar muhim ahamiyat kasb etmoqda.

GiriNeoResusc™ is a single-file, offline-capable, interactive clinical decision support system (CDSS) for neonatal resuscitation, developed within the NeonatAIlogy™ series of the GAIR Inno…

GiriNeoResusc™ is a single-file, offline-capable, interactive clinical decision support system (CDSS) for neonatal resuscitation, developed within the NeonatAIlogy™ series of the GAIR Innovation Registry and governed by the GIRISH™ Prompting Architecture. It uses the Textbook of Neonatal Resuscitation, 9th edition (American Academy of Pediatrics, 2025) as its base reference, harmonised with the 2025 AHA/AAP guidelines, the 2025 ILCOR Consensus on Science with Treatment Recommendations and the 2025 ERC newborn guidelines, and updated with a screened PubMed search to 25 September 2026. The tool is organised into 13 tabs: Overview (with a SEE → DECIDE → ACT → REASSESS bedside loop), a redrawn 2025 resuscitation algorithm, preparation (pre-birth questions, interactive equipment checklist, behavioural skills), the golden minute (cord management by clinical status and gestation, initial steps, pre-ductal SpO₂ ladder), ventilation (settings, initial FiO₂ by gestation, MR SOPA), alternative airway (ETT size and gestation-based insertion-depth tables, laryngeal mask ≥34 weeks, DOPE), chest compressions and medications (3:1 rhythm guide, epinephrine and volume dosing), a weight- and gestation-based bedside calculator with a weight–gestation mismatch warning, a five-step preterm pathway, special situations, post-resuscitation care and ethics, a 2025–26 evidence summary, and 42 numbered references. Bedside tabs present action-oriented guidance only; detailed study results are kept in a separate evidence section. Usability features include a birth clock with live SpO₂ targets, light and dark display themes, a large-text bedside mode and a printable pocket copy. GiriNeoResusc™ is an educational decision-support reference presented as a "Supportive Risk Signal — not a directive". It does not replace NRP certification, hands-on training, local protocols or clinical judgement. It has not been prospectively validated, and its dose calculator has not been independently validated. 4. Additional descriptions Methods (Zenodo: Additional description → type "Methods") Base reference: Textbook of Neonatal Resuscitation, 9th ed. (AAP, 2025); the scanned textbook was text-extracted by OCR and key tables were verified against the page images. Guideline harmonisation: 2025 AHA/AAP Part 5, 2025 ILCOR NLS CoSTR and ERC 2025, with national adaptations noted. Literature: PubMed search "(neonatal resuscitation)", last 1 year, clinical trials, RCTs, meta-analyses, reviews and systematic reviews (215 records, run 24 September 2026), screened for practice relevance; an author-supplied Consensus AI summary was cross-checked against primary sources and not used where it overstated recommendations. Every clinical statement is traceable to a numbered source (Vancouver style; DOI verified where available). Development followed a source-verified, hallucination-minimisation standard with redundancy audit. Pre-publication quality control included automated structure and citation checks, browser rendering tests on desktop and mobile, and five rounds of independent iterative review (v1.1–v1.5), which reconciled cord-management guidance with AHA/AAP 2025, scoped the laryngeal mask to ≥34 weeks and specified ECG during chest compressions. Technical info (type "Technical info") Single self-contained HTML5 file (HTML/CSS/vanilla JavaScript, no external dependencies or network calls); works offline in any modern browser on desktop and mobile. Features: 13 tabbed sections, sticky action strip with birth clock, bedside calculator, interactive checklist, 3:1 compression rhythm guide with optional sound cue, Auto/Light/Dark themes, large-text mode, print stylesheet, keyboard and skip-link accessibility. No patient data are collected or stored; only display preferences are kept in the viewer's own browser. Other / Notes (type "Other") AI-use disclosure: drafted with Claude (Anthropic) and an author-supplied Consensus AI literature summary; all content was verified against the NRP 9th edition and primary sources and approved by the author, who holds full responsibility for the content. Disclaimer: for education and decision support only; "Supportive Risk Signal — not a directive". Not a substitute for NRP certification, local protocols or clinical judgement. Not prospectively validated; calculator doses not independently validated. Trademark and source notice: Neonatal Resuscitation Program® (NRP®) is a registered trademark of the American Academy of Pediatrics. This work is independent and is not affiliated with, sponsored by or endorsed by the AAP or the American Heart Association. The algorithm and tables are adapted from the Textbook of Neonatal Resuscitation, 9th ed. (© 2025 American Academy of Pediatrics) and the 2025 AHA/AAP guidelines, with attribution; users should consult the original sources. 5. Keywords / subjects neonatal resuscitation; newborn resuscitation; Neonatal Resuscitation Program; NRP 9th edition; clinical decision support system; CDSS;

The period from the beginning of the Major Occultation (329 AH) to the establishment of the Safavid state (907 AH) is considered one of the sensitive junctures in the history of Islam and Shi'ism. Dur…

The period from the beginning of the Major Occultation (329 AH) to the establishment of the Safavid state (907 AH) is considered one of the sensitive junctures in the history of Islam and Shi'ism. During this period, the Shi'a faced a crisis of leadership of the Infallible Imam (peace be upon him) and underwent various vicissitudes. However, the numerous obstacles along the way could not prevent Shi'ism from growth and flourishing; rather, it continued its movement with steady steps and was able to extend its influence to various regions. This success after the Major Occultation was the result of several factors, among which the contribution of ethical components is significant. The present study seeks to answer the following question: What were the ethical-political components influencing the growth of Shi'ism from the Major Occultation (329 AH) to the establishment of the Safavid state (907 AH)? A descriptive-analytical examination of the ethics of Shia rulers demonstrates that legalism and the implementation of divine ordinances in society in accordance with the commands of the Shari'a, just behavior, populism, rationalism, and attention to the religious and Shia education of the people by most Shia rulers in the period under discussion were influential in promoting their school of thought and spreading the Shia religion.

This work presents a conceptual framework for an AI-powered multilingual healthcare chatbot designed to improve healthcare accessibility, disease awareness, and public health communication, particular…

This work presents a conceptual framework for an AI-powered multilingual healthcare chatbot designed to improve healthcare accessibility, disease awareness, and public health communication, particularly for rural and underserved communities. The proposed framework integrates Artificial Intelligence (AI), Natural Language Processing (NLP), transformer-based language models, multilingual speech recognition, image-assisted symptom support, and authenticated healthcare information into a unified conversational platform. The framework supports text, voice, and image-based interactions through familiar communication platforms such as WhatsApp and SMS, enabling users to access reliable healthcare information without requiring dedicated mobile applications. It is designed to reduce language barriers, promote preventive healthcare, and improve access to trusted medical guidance while encouraging timely consultation with healthcare professionals. This paper discusses the conceptual design, system architecture, methodology, potential applications, advantages, and future scope of the proposed framework. The proposed approach aims to support inclusive digital healthcare by combining multilingual communication, AI-based conversational assistance, and authenticated healthcare information into a scalable and accessible solution.  

Background. Conceptual tables and graphic organizers are among the most extensively researched external representations in education, and their effects on pupils are well documented. The preparation o…

Background. Conceptual tables and graphic organizers are among the most extensively researched external representations in education, and their effects on pupils are well documented. The preparation of the teachers who design and mediate them has received far less theoretical attention, particularly in primary mother tongue language education.Purpose. The study substantiates the theoretical and methodological foundations for developing pre-service primary school teachers' skills in using conceptual tables and graphic organizers in mother tongue language education.Materials and methods. The study is conceptual and methodological rather than empirical. A purposively assembled corpus of international and national scholarship, prioritising publications from 2020 onwards alongside foundational theoretical works, was examined through theoretical, comparative, document and content analysis, synthesis, generalisation, and pedagogical modelling. Seven theoretical positions were integrated into the analytical framework.Results. The reviewed evidence supports a design-and-mediation rather than a tool-provision reading of visual organisation, and therefore presupposes a teacher-level capability that the literature has not theorised. Visual information organisation is specified as a functional-structural component of primary teachers' methodological competence in mother tongue education, comprising cognitive–knowledge, practical–activity, methodical–pedagogical, and reflective–evaluative blocks ordered by the chain cognitive → practical → methodical → reflective. Its formation is specified through six principles, five stages, and three levels defined by block.Conclusions. The foundations supply an operational design logic that universities can adopt within existing programme structures and that subsequent empirical work can test.