bluuebunny/crossref_metadata_2025 huggingface dataset:
El derecho de preferencia en la carrera notarial, a la luz de la jurisprudencia del Consejo de Estado en Colombia
Authors: Barrera Mateus Tania Katherine
Published: January 2025

El derecho de preferencia es una prerrogativa que se otorga a los notarios que están en propiedad, sin embargo, la derogatoria y nulidad del Decreto 2054 de 2014, que disponía el desarrollo aplicativo del derecho de preferencia, deja un interrogante sobre la vigencia y aplicación de este. En el presente artículo de reflexión se sigue una investigación teórico-jurídica con una metodología de descriptiva de análisis crítico de elementos del sistema jurídico, especialmente, la jurisprudencia nacional con el fin de establecer los elementos de vigencia del derecho de preferencia en Colombia. Los resultados muestran que el principio o derecho de preferencia se encuentra vigente y permite su aplicación a partir de su posición dentro del Decreto-Ley 960 de 1970, artículo 178, numeral 3°.
Percepción de imaginarios y caricatura en el contexto colombiano: una propuesta de análisis en el ámbito de la postpandemia
Authors: Diaz Arenas Pedro Felipe , Rodríguez Lugo Johan Andrés , Lozano Cárdenas Félix Joaquín
Published: January 2025

En el presente artículo se presentan los resultados de análisis de percepción ciudadana sobre imaginarios y caricatura realizado en el contexto colombiano, a partir de un proyecto de investigación que busca comprender los imaginarios sociales en el marco de la postpandemia.  En este proceso se pretende disertar sobre la caricatura como género periodístico de opinión en donde el uso de su formato permite comprender y visibilizar el acontecer ciudadano en un momento y lugar determinado.  Esta investigación es de carácter cualitativo y pretende generar un análisis de percepción a partir del uso de encuestas y entrevistas a ciudadanos del departamento del Quindío. Se pretende revisar el uso periodístico de la caricatura como formato de opinión y analizar los imaginarios que se crearon en un periodo de tiempo determinado, en el marco de la postpandemia.  Finalmente se presenta un análisis de resultados que abre el debate sobre el estudio periodístico de la caricatura editorial como género periodístico de opinión que narra hechos y noticias en un contexto social determinado.
Validación de un tablero de comunicación en el contexto hospitalario
Authors: Monterrey Gómez Marly Yuliana , Pérez Reyes Ginna Viviana , Gómez Rojas Elsa , Romero Ruiz Miriam Lizeth , Vera Antolínez Andreina Constanza , Zambrano Medina Nixon Albeiro
Published: January 2025

introducción: validar por expertos el contenido de la propuesta del tablero de comunicación, que busca suplir la comunicación de las necesidades humanas según la teoría de virginia henderson en el ambiente hospitalario. Métodos: estudio de carácter descriptivo cuantitativo, con una muestra tomada a criterio de 6 validadores profesionales y técnicos del área de la salud, se obtiene el porcentaje de concordancia e índice de validez de contenido de cada intención comunicativa propuestas para las 14 necesidades básicas resultados: las intenciones comunicativas propuestas dentro de cada necesidad, en su mayoría cumplen con todos los criterios para ser aplicadas por medio de un tablero en el contexto hospitalario; tras el proceso de validación se evidencia que en todas las necesidades básicas se incluyeron más del 50% de las intenciones comunicativas. Análisis y discusión: la comunicación, como elemento clave para brindar servicios de atención médica de alta calidad, conduce a la satisfacción y la salud del paciente; el modelo de Virginia Henderson está diseñado para suplir las necesidades básicas o humanas de personas con condición de salud variable, es aplicado para dar una atención humanizada, donde la comunicación es un factor clave al momento de brindar cuidados de calidad. Conclusión: el tablero de comunicación es válido en su contenido para la aplicación en población hospitalaria con dificultad en la expresión oral y demás patologías que limiten la comunicación, al ser una herramienta aumentativa y alternativa para suplir la comunicación de las 14 necesidades básicas y mejorar la relación y seguridad paciente con personal de salud, que a su vez influye en la recuperación, la estancia hospitalaria y humanización en la atención.
Entre el diagnóstico y la inclusión: navegando las tensiones del tdah en el aula
Authors: Avendaño Cèspedes María Lucrecia , Calderón Vera Linda Katherine , Ramírez Betancur Ángela María , Panesso Mena Cindy Paola
Published: January 2025

La investigación se inscribe bajo el enfoque cualitativo con un diseño fenomenológico hermenéutico, para comprender la experiencia que tienen tres niños de una institución educativa de Medellín frente al diagnóstico de TDAH, con los cuales se realizó entrevistas semi-estructuradas a través del cuento: Topito Terremoto, de la autora Anna Llenas. Se encuentra que las fuentes de conocimiento sobre el TDAH determinan la forma en cómo los participantes experimentan el trastorno, la percepción de sí mismo de manera positiva no es limitada por su diagnóstico, aunque en sus relaciones desean ser tratados iguales a sus pares, naturalizando los síntomas del trastorno, ya que los niños con TDAH tienen métodos para controlar y adaptarse para no ser excluidos. Se pretende generar conocimiento del trastorno desde la voz del niño(a) diagnosticado con TDAH, para sensibilizar tanto a profesionales de la salud que intervienen en el diagnóstico y tratamiento clínico, a los padres para mejorar las pautas de crianza y a los profesionales de la educación para lograr una educación inclusiva, ya que es un diagnóstico que genera polémica a nivel social debido a su sobrediagnóstico, poca comprensión del trastorno y no es considerado una discapacidad mental perdiendo el foco de atención de diferentes ámbitos que convergen con esta población.
Plataformas multisectoriales y derechos humanos: elementos clave para entender el alcance de la agenda 2030
Authors: Ceballos Betancur Wilfer Arley , Parada Trujillo Abad Ernesto , Ocampo Suárez Héctor Mario , Suescún Espinal Juan Felipe , Gómez Jaramillo Sebastián , Vásquez Echavarría Gladis Helena , Reyes Gamboa Adriana , Torres Ramírez Juan José
Published: January 2025

En este artículo se propone comprender las relaciones de las plataformas multisectoriales con los derechos humanos para entender el alcance de la Agenda 2023 de las Naciones Unidas en el marco del tejido de la sostenibilidad. Corresponde a un estudio fundamentado en el paradigma interpretativo-hermenéutico, el enfoque cualitativo de nivel exploratorio y el método análisis de discurso. A partir del análisis documental como técnica de recolección de información, se identificaron puntos de discusión relevantes. Los resultados muestran que la alianza de plataformas y partes interesadas hacen de la Agenda 2030 la más grande plataforma multiactor y multisectorial habida en la historia de la humanidad, un espacio para ir construyendo un mundo más humano, inclusivo, solidario, amable y respetuoso con los límites que la propia biosfera pone al denominado progreso. También se discute en este espacio el recién creado Observatorio de los Objetivos de Desarrollo Sostenible de Antioquia (Colombia), exponiendo su finalidad y sus principales características afines a la justicia social y la defensa de los derechos humanos.
Incertidumbre en la obra de joan carles mélich: repensando la ética y la Educación
Authors: Agudelo Torres José Federico , Alzate Lora Néstor Alejandro , Llanos Redondo Mayerly
Published: January 2025

Uno de los conceptos clave en la obra del filósofo español Joan-Carles Mélich resulta ser, precisamente, el concepto de incertidumbre, mismo que exhorta a pensar en un amplio espectro de interpretaciones. Así, el objetivo de este artículo de investigación es comprender los sentidos que están presentes en la obra de este autor al hacer referencia, precisamente, a dicho concepto y cómo este se entiende desde los ámbitos éticos y educativos. La metodología se soportó en el modelo cualitativo con un enfoque próximo a la revisión documental. Entre los principales hallazgos se advierte que una de las principales preocupaciones de la obra de Joan-Carles Mélich está en evidenciar como lo que llamamos Occidente está atravesado por una herencia metafísica, la cual ha tenido repercusiones en todos los ámbitos del pensamiento, en tanto ha creado visiones absolutistas de la realidad. Así mismo se hace evidente que la obra de este pensador contemporáneo propende por la necesidad de transformar esa herencia a través de la resignificación del concepto de incertidumbre como respuesta a las apuestas existentes en los relatos absolutistas. En estas lógicas la incertidumbre se constituye en una valiosa apuesta y en un meritorio apostarse por acceder a nuevos sentidos y a nuevas configuraciones de las esferas éticas y educativas. El reto de la educación tiende entonces a prevenir que se repliquen los totalitarismos, en tanto exhorta a pensar la movilidad y la finitud propia que habita en la concepción de incertidumbre.
Comprender la salud para atender la vida: insinuaciones pedagógicas que indisciplinan la relación ciencia–saber para transformar los aprendizajes
Authors: Ramírez Lindarte María Daniela , Hernández Albarracín Juan Diego , Nieto Sánchez Zulmary Carolina , Bravo Valero Antonio José
Published: January 2025

La reflexión explora la necesidad de repensar la educación y la investigación en salud desde perspectivas holísticas y polivalentes, desafiando el paradigma centrado en la enfermedad. Argumenta a favor de una comprensión ampliada de la salud que incluya, pero no se limite a, la negación de la enfermedad, promoviendo un enfoque más integrador y holístico que reconozca la complejidad de los sistemas vivos. Se discute la importancia de romper los cercos disciplinares y adoptar herramientas lógicas no clásicas para abordar la complejidad inherente a la vida. A través de la insinuación pedagógica que indisciplina la relación ciencia–saber, se propone transformar los aprendizajes hacia una comprensión de la salud que atienda integralmente la vida, destacando rasgos como el optimismo, la espontaneidad, la alegría y la sabiduría. Este análisis conlleva un desafío a los límites disciplinares establecidos, proponiendo nuevas perspectivas que superen las concepciones reduccionistas del cuerpo humano y fomenten una educación en ciencias de la salud que prepare a los profesionales para abordar los desafíos de una práctica centrada en la vida en su totalidad.
Meaning in the semantic theory of Mikhail V. Nikitin and in cognitive grammar of Ronald W. Langacker
Authors: Kharitonchik Zinaida
Published: January 2025

The paper is focused on common and different aspects of two leading
semasiological theories of today - the theory of the Russian semasiologist
M. V. Nikitin and that of the American cognitive linguist R. W. Langacker.
Both authors view meaning as a complex psychic phenomenon whose formation is
affected by numerous factors - social, cultural, psychological, situational,
etc. The paper focuses on significant, but not identical aspects of these
theories, which represent their major distinctive features - sources of
meaning and basic structures of consciousness according to M. V. Nikitin, as
well as the actualization of components of the construed meaning under the
impact of specificity/schematics, focusing, prominence and perspective as
factors which affect the construal according to R. W. Langacker. It becomes
evident that they do not so much contradict as complement each other,
revealing such essential facets of meaning as its formation and functioning.
Melodic recordings of renaissance songs “in the folk style” from Niksa ragnina’s Canzoniere (1507)
Authors: Peric Djordje
Published: January 2025

In his Canzoniere or Miscellany (1507), the Dubrovnik nobleman Niksa Ragnina
recorded the texts of twelve songs ?in the folk style?, which literary
historians (V. Jagic, M. Resetar) believed were sung, though the melodies
have not been preserved. The author of this paper seeks to examine this
issue by searching for their melodic variants in Serbo-Croatian folklore.
About a translation of Henryk Sienkiewicz’s short stories attributed to Nicholai Velimirovich: Towards a critical examination of Velimirovich’s bibliography
Authors: Petrovic Srecko
Published: January 2025

The issue of the uncritical approach to the literary heritage and opus of
Nicholai Velimirovich is in the scope of this paper. There are certain
works, attributed to Velimirovich, for which the question of authorship is
uncertain. In some collections of Velimirovich?s works and elsewhere, there
are texts published under his name, although these texts were not written by
him, or texts whose authorship is not clear, and these texts were attributed
to Velimirovich and later published under his name. An example of the
translation of several short stories by Henryk Sienkiewicz, published in
Serbian in 1921 under the title Podjimo za Njim [Let Us Follow Him],
attributed to Nicholai Velimirovich, later included in various
bibliographies as his work, and recently republished under his name, shows
how a critical approach to Nicholai Velimirovich?s works is needed.
Resistance-Linked Volatile Profiles of Sugarcane Varieties in Sri Lanka and their Potential for Semiochemical-based Management of Chilo sacchariphagus indicus (Lepidoptera: Crambidae)
Authors: VKASM Wanasinghe , ADNT Kumara , GKMMK Ranaweera , KMG Chanchala , KS Hemachandra , L Nugaliyadde
Published: January 2025

The sugarcane internode borer (INB), Chilo sacchariphagus indicus (Lepidoptera: Crambidae), poses a major challenge to
sugarcane cultivation in Sri Lanka. Characterizing the volatile profiles of sugarcane varieties provides crucial insights for
integrated pest management (IPM) strategies, particularly identification of attractant green leaf volatiles (GLVs). These
compounds have the potential to be used for the development of Semiochemical based environmentally friendly pest control
products, thereby promoting sustainable agriculture in the region. This study analyzed the volatility profiles of mature leaves
of five sugarcane varieties (Co 775, SL 83 06, SL 90 6237, SL 92 5588, SL 96 128) that exhibited different resistances to INB
attack. Volatiles were collected using dynamic headspace sampling and analyzed using gas chromatography-mass spectrometry
(GC-MS). A total of 74 organic compounds were detected, of which 28 were identified as GLV. Seven GLVs showed significant
variations, including 1-hexanol, 4-methyl; (S)-3-Ethyl-4-methylpentanol; and 3-octanone. Positive correlations were observed
between certain GLVs, while others showed negative correlations, facilitating the classification of cultivars into two groups
based on their volatile profiles. This study represents the first record of the volatile profiles of sugarcane in Sri Lanka. The
results lay the foundation for further development of Semiochemical based IPM solutions against Chilosacchariphagus indicus
and provide an innovative green pest control approach for the sugarcane industry
Profile of Ametropia in Children Aged 6 to 18 in Hospital Environments in Garoua
Authors: N BRA' Eyatcha Bimingo , I Foksouna , J Njoya Marea , D Balkissoua , DA Dohvomab , Bellab Al
Published: January 2025

Introduction: Ametropia is one of the main ophthalmological pathologies in children. Uncorrected, they are the leading cause
of visual impairment and blindness worldwide. The aim of this study was to describe the profile of ametropia in hospitalized
children.
Methods: This was a retrospective, analytical study conducted in the ophthalmology department of the Garoua Regional
Hospital (HRG) over a 04-year period from January 1,2020 to December 29, 2023. All children aged 6 to 18 diagnosed with
ametropia after an objective refraction study under cycloplegia were included. Epidemiological, clinical, and therapeutic
variables were studied. Analysis was performed using SPSS 20 software, with a significance level of p < 0.05.
Results: Of the 11085 patients consulted during the study period, 5361 children (48.3%) were aged between 6 and 18, of
whom 2863 (25.8%) had ametropia. The average age was 13.29±3.46 years, with the 16-18 age group the most represented
in 33.3% of cases. The predominant sex was female (71%), with a sex ratio of 2.4. Headaches were the most frequent reason
for consultation, accounting for 30.8% of cases. The most frequent types of ametropia were hypermetropic astigmatism,
hyperopia, and myopic astigmatism in 44.1%, 28% and 15.1% respectively. Hyperopic astigmatism was more prevalent in
female children (in 65.0% of female children vs. 35.0% of male children p-value = 0.002). Twenty-five cases (16.7%) had
anisometropia.
Conclusion: Ametropia is found in a quarter of children aged 6 to 18 in Garoua hospitals. Raising awareness with a view to
early consultation would enable early detection and treatment of ametropia.
Minimum elements for reporting a feasibility assessment of algorithms based on routinely collected health data for multi-jurisdiction use: Health Data Research Network Canada recommendations
Authors: Hamm Naomi , Bartholomew Sharon , Zhao Yinshan , Peterson Sandra , Al-Azazi Saeed , McGrail Kimberlyn , Lix Lisa
Published: January 2025

BackgroundResearch and surveillance using routinely collected health data rely on algorithms or definitions to ascertain disease cases or health measures. Whenever algorithm validation studies are not possible due to the unavailability of a reference standard, algorithm feasibility studies can be used to create and assess algorithms for use in more than one population or jurisdiction. Publication of the methods used to conduct feasibility studies is critical for reproducibility and transparency. Existing guidelines applicable to feasibility studies include the STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) and REporting of studies Conducted using Observational Routinely collected health Data (RECORD) guidelines. These guidelines may benefit from additional elements that capture aspects particular to multi-jurisdiction algorithm feasibility studies and ensure their reproducibility. The aim of this paper is to identify the minimum elements for reporting feasibility studies to ensure reproducibility and transparency.
MethodsA subcommittee of four individuals with expertise in routinely collected health data, multi-jurisdiction health research, and algorithm development and implementation was formed from Health Data Research Network (HDRN) Canada's Algorithms and Harmonized Data Working Group (AHD-WG). The subcommittee reviewed items within the STROBE and RECORD guidelines and evaluated these items against published feasibility studies. Items to ensure transparent reporting of feasibility studies not contained within STROBE or RECORD guidelines were identified through consensus by subcommittee members using the Nominal Group Technique. The AHD-WG reviewed and approved these additional recommended elements.
ResultsEleven new recommended elements were identified: one element for the title and abstract, one for the introduction, five for the methods, and four for the results sections. Recommended elements primarily addressed reporting jurisdictional data variabilities, data harmonization methods, and algorithm implementation techniques.
SignificanceImplementation of these recommended elements, alongside the RECORD guidelines, is intended to encourage consistent publication of methods that support reproducibility, as well as increase comparability of algorithms and their use in national and international studies.
Student Evaluations: Use, Perceptions, and a Figure of Merit for Non-Grade Biased Evaluation
Authors: Al Ahmad Mahmoud , Olule Lillian , Memon Qurban , Najar Adel
Published: January 2025

Student Evaluation of Teaching (SET) is a widely spread and widely acknowledged means of evaluating teaching effectiveness in higher education institutions (HEIs). Student evaluation of teaching (SET) has been extensively researched, but there are still contradicting attitudes toward its use and validity, caused mainly by student grade bias. A performance metric is needed that can be used to identify student evaluation ratings independent of grading bias. This paper explores various purposes for which SET can be utilized, and the perceptions of the key stakeholders on its relative importance. To remove grade bias from evaluation, a figure of merit (F.O.M) is derived that can be used to identify a student evaluation rating independent of grading bias. The F.O.M is derived using statistical analysis that considers preprocessing of data, and removal of outliers to make it robust. It is found that F.O.M values between 0.7 and 1.3 reflect non-grade bias. Based on this F.O.M, recommendations are built to support the validity of SET in the whole process of teaching effectiveness alongside increased stakeholder engagement.
AI-Enabled Dental Imaging for Oral Disease Detection
Authors: Natarajan Priyadarshini
Published: January 2025

This study aims to enhance the accuracy and efficiency of dental diagnostics using deep learning models to automatically detect and classify oral disease and dental structures on panoramic radiographs. By employing a quantitative research methodology, the study evaluates key performance metrics. The model's ability to accurately detect dental anomalies, such as caries, periodontal conditions, restorations, and implants, shows significant promise for real-time clinical applications (Arsiwala-Scheppach et al., 2023). In parallel, the study explores the broader potential of AI in dental imaging, addressing current limitations such as the adaptability of models trained on narrow datasets. It emphasizes the importance of expanding datasets to capture a wider range of patient demographics and imaging modalities and highlights the need to validate AI models in real-world clinical settings (Putra et al., 2022). Together, this research underscores the transformative role of AI in modernizing dental diagnostics, moving from traditional methods to advanced AI-enhanced techniques (Patil et al., 2022).
The Illuminated Traveller: A Methodological framework
Authors: K.M.Shirazi Zohreh
Published: January 2025

The Illuminated Traveller is a practice-oriented project that employs Artificial Intelligence (AI)-driven visual storytelling to explore concepts of Iranian mystical wisdom. The central narrative follows Mana, a young woman seeking a sense of belonging. Throughout her journey, she encounters Farhang, a magical figure who guides her through the intricate layers of Iranian culture, provoking deep inner conflict and reflection as she negotiates her place within it. In this article, I will outline the methodological aspects that inform this work. Grounded in Suhrawardi’s Illuminationism and Sufi philosophies, the project bridges ancient cultural archetypes with contemporary technological narratives. 
Methodologically, the research employs self-search techniques, combining personal experience with cultural reflection, while using AI to reimagine Persian mystical traditions in the digital age. The philosophical foundation draws parallels between heuristic research and Illuminationist philosophy, synthesising intuitive knowledge with rational inquiry. The iterative development process, guided by artistic intuition, informs the creation of an authentic cultural narrative. Ultimately, this research seeks to reimagine Persian mystical traditions, resonating with contemporary audiences while maintaining cultural authenticity.
Estudios Demográficos y Urbanos: cuatro décadas de investigación demográfica, urbana y ambiental
Authors: García Guerrero Víctor Manuel
Published: January 2025

La revista Estudios Demográficos y Urbanos celebra con este volumen cuatro décadas de publicación científica ininterrumpida. Desde su creación, en 1986, ha constituido un referente nacional y regional en los estudios demográficos, urbanos y ambientales, lo que constituye un testimonio de dedicación y esfuerzo colectivos que ha hecho posible construir un espacio para la reflexión, discusión y análisis en estas disciplinas. Este camino comenzó hace cuarenta años, aunque sus raíces llegan hasta 1967, con la fundación de su predecesora Demografía y Economía. Ambas publicaciones han sido faros fundamentales para el estudio de las ciencias sociales en América Latina.
Ciencia abierta: compartir datos, código y materiales para impulsar la transparencia en la investigación
Authors: Tonini Fernando
Published: January 2025

A través de esta presentación busco familiarizar, específicamente, a estudiantes de grado con la ciencia abierta. Mi experiencia se centra en compartir datos, código y materiales como parte esencial de la investigación. Por un lado, planteo cómo descubrí la ciencia abierta de manera casual y cómo, posteriormente, encontré recursos valiosos que destacan su importancia. Por otro lado, incluyo recursos para facilitar la promoción de la transparencia y la verificación de resultados. Concluyo haciendo énfasis en la idea de que, aunque adoptar prácticas de ciencia abierta puede parecer abrumador, es posible empezar de a poco. Espero inspirar a otros y contribuir a una comunidad científica más transparente y colaborativa.
Interludia Horatiana: Jan Lechoń, Jarosław Iwaszkiewicz, Jacek Dehnel
Authors: Ryczek Wojciech
Published: January 2025

The term interlude, which refers to a short drama designed to put in a different light or deconstruct the main play it is placed next to, can be used, when defined more broadly, to explore the network of intertextual references in three poems conceived as follow-ups to a classical model. They are ‘Vides ut alta stet…’ by Jan Lechoń, ‘Pies horacjański’ [Horace’s dog] by Jarosław Iwaszkiewicz, and ‘Quintus H.F. ginie w bitwie pod Filippi’ [Quintus H.F. dies in the Battle of Philippi] by Jacek Dehnel (from his debut collection Żywoty równoległe [Parallel Lives]). Although these poems are hard to compare given their diverse poetic and aesthetic allegiances, it was still possible to sift through and assess the relative significance of all their intertextual references and allusions. As might be expected, the three authors speak their mind freely about Horace and his achievement, even if their opinions – based, for the most part, on well-worn commonplaces – appear contentious and contradictory.
Spring phenological models combining the effects of temperature and photoperiod are successfully transferred to various spatial and temporal scales: a case study of Aesculus hippocastanum L.
Authors: Korsakova Svetlana , Korsakov Pavel , Evstigneev Vladislav
Published: January 2025

On the basis of long-term, high-quality in situ observations on phenological and meteorological data, we parameterised and examined the performances of four single-phase and two two-phase models for the prediction of the leaf unfolding and flowering dates of horse chestnut (Aesculus hippocastanum L.). Amongst models, those combining the effects of temperature and photoperiod showed the best phenophase prediction, suggesting the influence of photoperiod on the leaf unfolding and flowering of A. hippocastanum. The obtained coefficients showed that the effect of photoperiod was greater on leaf unfolding than on flowering. Comprehensive assessment revealed that the single-phase BCdoy model demonstrated the best fitting for both phenophases. This model also showed sufficiently high accuracy and the transferability of results in time and space. The proposed models can be used to predict the spring phenophases of A. hippocastanum in European and Asian countries, where this ornamental tree species is widely used in urban landscaping, and to optimise control methods against Cameraria ohridella Deschka & Dimić (Lepidoptera, Gracillariidae). For C. ohridella, the first flying out of adults after overwintering begins at the onset of horse chestnut leaf unfolding and mass flight occurs during the full flowering period.
Mitigating the oxidative stress caused by UV-B in date palm seedlings: efficacy of salicylic acid and ascorbic acid application
Authors: Swaid Sajeda Yaseen , Shareef Hussein Jasim
Published: January 2025

The date palm is one of the plants whose growth is being affected by global warming through harmful wavelengths of UV radiation. The protective role of salicylic acid (SA) and ascorbic acid (AsA) at physiological (100 and 200 mg l–1) levels was assessed under UV-B (8 hrs day–1) stress in the development and physiological adaptation of date palm seedlings. Three months after treatment with different concentrations of SA and AsA, their effects on growth criteria, pigment content, oxidation stress markers, and enzyme antioxidant activities were studied. Results revealed that both SA and AsA increased the seedling height, leaf width, and dry weight, decreased the level of malondialdehyde and hydrogen peroxide, and increased membrane stability, thereby alleviating oxidant injury. Furthermore, activities of antioxidant enzymes such as peroxidase and ascorbate peroxidase have been upregulated, thereby enhancing the seedlings’ tolerance against stress. The results suggest that foliar SA and AsA application could be an efficient way to alleviate the UV-B radiation stress damage in young date palm plants, therefore providing a possible approach to improving crop resilience in increasingly harsh environmental conditions.
Determination of nitroimidazole and fumagillin residues in honey employing Liquid Chromatography-Tandem Mass Spectrometry: An insight in the 2023-2024 Greek honey production
Authors: Manea-Karga E. , Kanteli F. , Papadopoulou E.A. , Machera K. , Kasiotis K.M.
Published: January 2025

Honey bees (Apis sp.) are vital to ecosystems, enhancing agricultural productivity and preserving biodiversity. However, the observed decline of their populations, caused by, among other, Nosema infections has led to the use of the antibiotics fumagillin and nitroimidazoles. Nonetheless, due to increasing concerns over their genotoxic, mutagenic, and carcinogenic properties, the presence of fumagillin residues in honey is prohibited, while similar is the case for the parent nitroimidazoles and their metabolites in animal-derived food. Within this context and considering the limited availability of pertinent data on Greek honey, we have developed and applied robust analytical methods for the detection of fumagillin and nitroimidazole residues in honey, employing liquid chromatography-tandem mass spectrometry (LC-MS/MS). The developed protocols, based on solid phase extraction, proved fit for the purpose of detecting fumagillin and nitroimidazoles in honey samples with substantial sensitivity (detection capability, CCβ not exceeding 0.78 μg/kg), comparable to recent literature, and could be applied in routine analyses to ensure consumers’ safety. Application of the methods in 30 Greek honey samples did not unveil residues above the CCβ of the analytes, and the developed pipeline can be further exploited in future large-scale monitoring studies to investigate Greek apiculture and its adherence to regulatory obligations.
Evaluation of a disease-state education program in asthma: Application of the Knowledge-to-Action Framework
Authors: Yusufova Nazrin , Gilbert Ileen A. , Trudo Frank , Barlows Theodore , Salvato Scott , Motawakel Omar , Eudicone James M. , Murphy Kevin R.
Published: January 2025

Background: In patients with asthma, bronchoconstriction and airway inflammation both contribute to airway narrowing and airflow limitations, which lead to symptoms and exacerbations. Short-acting β2-agonist (SABA)-only rescue therapy addresses only bronchoconstriction
and is associated with increased morbidity and mortality. Current asthma management guidelines recommend concomitant treatment of symptoms and inflammation with a fast-acting bronchodilator and inhaled corticosteroid (ICS) as rescue therapy for patients ≥12 years of age. However, there
is an education and outreach gap for the wider adoption of anti-inflammatory rescue therapy in clinical practice. Objective: AstraZeneca has developed an education program for health-care practitioners (HCPs) based on a Knowledge-to-Action Framework, with the aim of increasing
HCPs’ understanding of key disease-state concepts related to evidence-based management of asthma. Methods: A multichannel, evidence-based education program was presented at medical conferences across the United States between December 2022 and December 2023. Before
and after each event, attendees were asked to complete a survey that rated their agreement with six disease-state concepts on a five-point Likert scale. These concepts related to the role of airway inflammation, fluctuations in inflammation, SABA and ICS therapy, and the risk of exacerbations.
Postevent responses to the survey were assessed relative to pre-event responses and longitudinally over 12 months by using calculated odds ratios and 95% confidence intervals. Acceptance and/or understanding of a concept was defined as a rating of “agree” or “strongly agree”
from at least 80% of respondents. Results: The proportion of respondents who agreed or strongly agreed with each concept was significantly higher postevent versus pre-event (p < 0.001). The 80% acceptance and/or understanding threshold was surpassed for
all concepts after the event. Conclusion: The medical education program improved understanding and/or acceptance of key disease-state concepts related to asthma management among participating HCPs. Effective communication of disease management concepts may lead to improved
patient health outcomes through more rapid acceptance of guideline-recommended medical therapies.
IDENTIFICATION OF POTENTIAL MASTER REGULATOR MOLECULES RESPONSIBLE FOR NON-TOLERANT REACTION IN CHRONIC INFLAMMATORY DISEASE
Authors:   Laboratory of Molecular Genetic Modeling of Inflammaging, Institute of General Pathology and Pathophysiology, Moscow, Borodko D.D. , Pleshko E.M. , Kirichenko T. , Sukhorukov V.N. , Omelchenko A.V.
Published: January 2025

Chronic inflammatory diseases like atherosclerosis and CVD significantly impact global health by causing immune-mediated
organ damage. This study aims to identify potential biomarkers of immune cell populations driving chronic inflammation. We performed transcriptomic analysis of 82 samples and identified OSMR and TREM2 as key downregulated genes, suggesting their potential
as searched biomarkers.
EFFECT OF MUTAGENS ON THE STABILITY OF MITOCHONDRIAL GENOME
Authors:   Center for Mitochondrial Functional Genomics, Immanuel Kant Baltic Federal University, Kaliningrad, Ree N.A. ,   Ecole Polytechnique Federale de Lausanne, Switzerland, Potapova N.A. , Van Leiden N.S. , K.V. Gunbin K.V. , Popadin K.I.
Published: January 2025

In our study, we explored how various mutagenic agents impact mitochondrial DNA (mtDNA) stability. We analyzed 2448
whole-genome sequencing samples, focusing on induced pluripotent stem cells exposed to environmental mutagens. Not all agents
affected mtDNA content, but 13 increased mutations approximately twofold. The dominant mutation type was G>A, and 1,2-dimethylhydrazine (DMH) stood out as a distinctive mutagen.
Kimura’s disease: A diagnostic dilemma
Authors: Jyothi Asha , Bonthu Indira , Vinnakoti Anitha , Behara Suresh Kumar
Published: January 2025

Kimura disease is benign, rare, chronic inflammatory condition seen predominantly in younger males. There is 3–6-fold male occurrence with a median age at onset of 32 years. The classical presentation is with bilateral cervical lymphadenopathy, occasionally fever, accompanied by peripheral blood eosinophilia and high levels of IgE. It usually presents as subcutaneous masses, particularly around the head and neck, with a variety of nonspecific findings, including itch, urticaria, and chronic eczema. 15% of patients with Kimura disease develop nephrotic syndrome.
Идентификация параметров SEIR-подобной эпидемиологической модели с помощью итеративно регуляризованного метода Гаусса–Ньютона
Authors: Кокурин М.М. , Гаврилова А.В. , Абду Р.Ч.М.
Published: January 2025

В статье изучается вопрос о восстановлении коэффициентов SEIR-подобных эпидемиологических моделей на основе данных эпидемиологической статистики. Предлагается подход к решению этой задачи, основанный на итеративно регуляризованном методе Гаусса–Ньютона, а также его модификации, позволяющей находить квазирешения нелинейных операторных уравнений. Учитываются различные виды погрешностей в эпидемиологической статистике. Обсуждается возможность прогнозирования распространения эпидемий, а также определение показателей ее заразности и опасности.

We study the problem of identifying the coefficients based on known statistical data for a SEIR-like epidemiological model. The proposed approach to solving this problem is based on the iteratively regularized Gauss–Newton method. We also use one modification of this method, which is able to find quasi-solutions of nonlinear operator equations. We take into account various types of errors in epidemiological statistics. The possibility of predicting the spread of epidemics, as well as determining indicators of its contagion and danger, is discussed.
Математические модели и программный комплекс для интеллектуального анализа и прогнозирования исполнения государственных контрактов
Authors: Рубцов Д.Ю.
Published: January 2025

В работе предлагаются математические модели и программный комплекс для интеллектуального анализа и прогнозирования исполнения государственных контрактов, основанные на нейросети и классических методах машинного обучения, обученных на ретроспективной базе данных контрагентов и контрактов. Комплекс математических моделей и программ позволяет рассчитывать вероятности и риски невыполнения государственных контрактов, тем самым уменьшить потери бюджета и положительным образом повлиять на устойчивость реального сектора экономики. Проведен сравнительный анализ методов машинного обучения: логистическая регрессия, дерево решений, метод опорных векторов и нейросетевая модель. Разработана модель, позволяющая проводить прогноз с точностью 97,89 %. Для каждой математической модели разработаны отдельные модули, которые в совокупности составляют программный комплекс. Нейросетевая модель показала результат в 87,65 %, что связано с относительно небольшим набором данных для обучения, однако данная модель позволяет раскрыть дальнейший потенциал системы в связи с постоянным обучением в реальном времени на новых контрактах, для оценки которых будет использован предлагаемый программный комплекс. Результаты проведенного исследования могут быть использованы для дальнейшего совершенствования системы поддержки принятия решений в сфере закупок и ее применения с целью улучшения общего качества анализа и прогнозирования выполнения государственных контрактов.

The paper proposes mathematical models and a software package for intellectual analysis and forecasting of the execution of government contracts, based on a neural network and classical machine learning methods trained on a retrospective database of counterparties and contracts. A set of mathematical models and programs allows you to calculate the probabilities and risks of non-fulfillment of government contracts, thereby reducing budget losses and positively influencing the stability of the real sector of the economy. A comparative analysis of machine learning methods was carried out: logistic regression, decision tree, support vector machine and neural network model. A model has been developed that allows forecasting with an accuracy of 97.89%. For each mathematical model, a separate module has been developed, which together constitute a software package. The neural network model showed a result of 87.65%, which is associated with a relatively small set of data for training; however, this model allows us to reveal the further potential of the system in connection with continuous training in real time on new contracts, for the evaluation of which the proposed software package will be used. The results of the study can be used to further improve decision support systems in the field of procurement and its application in order to improve the overall quality of analysis and forecasting of the implementation of government contracts.
Remote Silyl Groups Enhance Hydrolytic Stability and Photocleavage Efficiency in Carbamates for Protein Release
Authors: Yoshimura Masahiko , Sasayama Ryuto , Kajiwara Takashi , Mori Chihiro , Nakasone Yusuke , Inose Tomoko
Published: January 2025

Photocleavable molecules are valuable tools for biological studies, enabling spatiotemporal activation of molecular functions within cellular environments. In particular, coumarin-based photolytic molecules are useful because of their ability to flexibly tune the wavelength of photostimulation through their structural modifications. Ideal photocleavable molecular tools require hydrolytic stability and selective susceptibility to photo stimuli. However conventional coumarin-based molecules have not simultaneously achieved both highly efficient photocleavage and hydrolysis resistance. Herein, we proposed a novel molecular design concept that introduces a silyl group into coumarin-based molecules at a position remote from the photolabile bond, creating an ideal photocleavable molecule for chemical biology tools. The established orbital effect of the remotely introduced silyl group improves the photolysis efficiency of coumarin-based molecules, while its bulkiness substantially enhances their hydrolytic stability in aqueous environments and under enzymatic conditions. Furthermore, this improvement in molecular functionality contributes to the development of high-performance protein-release biomaterials.
Spontaneous formation of urea from carbon dioxide and ammonia in aqueous droplets
Authors: Azizbaig Mohajer Mercede , Basuri Pallab , Evdokimov Andrei , David Gregory , Zindel Daniel , Miliordos Evangelos , Signorell Ruth
Published: January 2025

Urea is a key molecule in the search for the origin of life and a basic chemical produced in large quantities by industry. Its formation from ammonia and carbon dioxide requires either high pressures and temperatures or, under milder conditions, catalysts or additional reagents. Here we report the spontaneous formation of urea under ambient conditions from ammonia and carbon dioxide in the surface layer of aqueous droplets. Single optically-trapped droplets were probed using Raman bands as markers. We found the surface layer to act like a microscopic flow reactor with chemical gradients providing access to unconventional reaction pathways. This reveals a general mechanistic scheme for unique droplet chemistry. Interfacial chemistry is a possible non-energetic route for urea formation under prebiotic conditions.
High-Throughput Microdroplet-Based Synthesis using Automated Array-to-Array Transfer
Authors: Huang Kai-Hung , Chen Kitmin , Morato Nicolás M. , Sams Thomas C. , Dziekonski Eric T. , Cooks R. Graham
Published: January 2025

Automation of chemical synthesis and high-throughput (HT) screening are important for speeding up drug discovery. Here, we describe an automated HT picomole scale synthesis system which uses desorption electrospray ionization (DESI) to create microdroplets of reaction mixtures at individual positions from a two-dimensional reactant array and transfer them to a corresponding position in an array of collected reaction products. On-the-fly chemical transformations are facilitated by the reaction acceleration phenomenon in microdroplets and high reaction conversions are achieved during the milliseconds droplet flight time from the reactant to the product array. Successful functionalization of bioactive molecules is demonstrated through the generation of 172 analogs (64% success rate) using multiple reaction types. Synthesis throughput is ~45 seconds/reaction including droplet formation, reaction, and collection steps, all of which occur in an integrated fashion, generating product amounts sufficient for subsequent bioactivity screening (low ng to low µg). Quantitative performance was validated using LC/MS. This system bridges the demonstrated capabilities of HT-DESI for reaction screening and label-free bioassays, allowing consolidation of the key early drug discovery steps around a single synthetic-analytical technology.
Enzyme-membrane-reactors: recent trends and applications for the production of fine chemicals and pharmaceutical building-blocks
Authors: Meersseman Arango Hippolyte , Leyssens Tom , Luis Patricia , Debecker Damien
Published: January 2025

Biocatalysis has gained attention in recent decades as a green and efficient method for producing high-value chemicals. Enzymes, notably due to their high selectivity, offer significant advantages for organic synthesis. However, industrial implementation remains limited due to challenges such as free enzyme instability, enzyme inhibition, and difficulties in catalyst recovery and reuse. The coupling of biocatalysis with membrane technology in enzyme-membrane-reactors (EMR) holds significant potential for process intensification, as it paves the way to continuous flow synthesis concatenated with product purification, and biocatalyst recovery. By allowing flow hybrid processes (i.e. simultaneous biocatalytic reactions and membrane operations in one-pot), EMR have the potential to increase reaction yields and kinetics, and reduce downstream processing requirements. This review explores recent trends and advancements in EMR for the production of pharmaceutical building blocks and fine chemicals. We examine the combination of enzymes with both polymeric and ceramic membranes, highlighting their respective benefits and limitations. We cover both EMR processes where free enzymes are used separately from membrane devices, and EMR processes employing membrane-immobilized enzymatic reactors. As enzyme immobilization in/on solid supports has emerged as an effective approach for enhancing enzyme stability and reusability, we argue that the development of such membrane-immobilized enzyme reactors is of prime importance for the pharmaceutical industry. These insights aim to provide a comprehensive overview of the role and recent applications of EMRs in advancing biocatalytic processes within the fine chemistry and pharmaceutical industry.
OCNet: A Domain Knowledge-Enhanced General Moleculer Representation Framework for Optoelectronic and Charge-transport Materials
Authors: Zhao Guojiang , Ou Qi , Zhao Zifeng , Chen Shangqian , Lin Haitao , Ji Xiaohong , Wang Zhen , Wang Hongshuai , Cai Hengxing , Wu Lirong , Lu Shuqi , Yang FengTianCi , Gao Zhifeng , Cheng Zheng
Published: January 2025

The characterization of material properties plays a crucial role in revealing the structure-property relationship and optimizing device performance. Organic optoelectronic and transporting materials, widely used in various fields, face challenges in experimental property characterization not only due to their high cost but also the requirement of multidisciplinary knowledge. To address this problem, we introduce OCNet, a domain knowledge-enhanced representation learning framework, with which the efficient and accurate virtual characterization is made possible. Based on the SE(3) transformer architecture and a self-constructed large-scale conjugated molecular database with millions of structures and properties, OCNet realizes general molecular and bimolecular representation and supports the integration of domain knowledge features. In multiple optoelectronic property prediction tasks, OCNet shows a significant improvement in accuracy compared to previously reported models. It also constructs a DFT accuracy database for the transfer integrals of thin-film materials and renders the general prediction of such properties possible. With its user-friendly interface, OCNet can serve as an effective virtual characterization tool, facilitating the development of optoelectronic devices and other functional material research.