bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of extraction conditions on total phenolic content and antioxidant capacity of bagasse Mexican oregano
Authors: Rojo-Gutiérrez Edwin , Ordoñez-Cano Andrés Javier , Ochoa-Reyes Emilio , Tafolla-Arellano Julio César , Rojas Molina Romeo , Buenrostro-Figueroa José Juan
Published: February 2025

Mexican oregano (Lippia graveolens Kunth) is one of the most important species worldwide due to its human health benefit properties and high economic value. Oregano leaves are primarily used for essential oil extraction, generating substantial agro-industrial waste known as bagasse (OB). It has been reported that OB still contains several bioactive compounds with high antioxidant activity. This study aimed to evaluate the extraction conditions to recover phenolic compounds and assess their antioxidant capacity in OB extracts obtained through ultrasound. A 3k Box-Behnken design was employed to explore the effects of temperature, mass/volume ratio, and [EtOH]. Total phenolic content and antioxidant capacity against DPPH· and ABTS·+ radicals were determined. The increase in temperature and m/v ratio promoted the extraction of phenolic compounds, with strong correlations to antioxidant activity by DPPH· (0.81) and ABTS·+ (0.82) assays. A quadratic effect by [EtOH] was observed, with a maximum value of 50% ethanol. The highest value of total phenolic content (35.66 mgGAE/gdm), and antioxidant capacity against DPPH· (100.94 mgTE/gdm) and ABTS (93.02 mgTE/gdm) radicals were achieved in treatment 13 (0.02 mg/mL, 50% EtOH, and 90°C). The OB is a potential source of bioactive compounds with potential applications in functional food development.
Integrated Farming System: An Introduction
Authors:   Department in Agriculture, Bhai Gurdas Degree College, Sangrur, Punjab-India, Singh Gurpreet
Published: February 2025

The Integrated Farming System (IFS) is an environmentally friendly method where the loss of one enterprise becomes integral, thereby making efficient use of agricultural resources. IFS is a mixed farming system consisting of at least two separate but equally dependent parts of plant and animal business. . IFS helps improve soil health, kill weeds and pests, increase water efficiency and maintain water quality. In an integrated agriculture program, the use of hazardous chemical fertilizers, herbicides and pesticides should be minimized and should ensure the protection of the environment from adverse effects. The integrated agriculture program improves the economic situation of small farmers, improves education, health and social obligations and improves livelihood security. IFS approaches the use of chemicals (fertilizers and pesticides), it can be limited to providing healthy non-chemical foods in the community.
Comparative Qualitative Analysis of Physio-Chemical Properties of Unripe and Ripe Pumpkin (Cucurbita moschata L.)
Authors:   Department of Agriculture, Bhai Gurdas Degree College, Sangrur, Pumjab, India, Singh Gurpreet
Published: February 2025

The present investigation entitled “Comparative qualitative analysis of unripe and ripe pumpkin (Cucurbita moschata L.)” was carried out in department of agriculture, Bhai Gurdas Degree College, Sangrur, Punjab, India during the 2024. The experimental design selected was CRD consisting of pumpkin variety as fruit and seed are treatments which were replicated four times. A good quality fresh and healthy pumpkin variety, the Punjab Samrat was collected from the Experimental Field of Bhai Gurdas Degree College, Sangrur, The healthy disease free, unripe and ripe fruits were selected and washed with water in order to remove dust, dirt and any other foreign material. The highest pH value of peel (6.88), pulp (6.85), seeds (6.72), TSS in peel (7.200B) and pulp (7.320B), Ascorbic acid in peel (15.74mg/100gm), pulp (14.41mg/100gm), and seeds (14.71mg/100gm), total sugar content in pulp (2.20%) and seeds (1.25%), reducing sugar content in pulp (1.89%) and seeds (0.21%), crude fiber in pulp (0.82%) and seeds (7.51%), protein in pulp (1.72%) and seeds (21.68%), carbohydrates in pulp (7.51%) reported highest at ripe stage of pumpkin. Moisture content in peel (85.63%), pulp (91.72%) and seeds (7.34%), Ash content in peel (0.67%), pulp (0.58%) and seeds (9.04%), Titratable acidity in peel (0.097), pulp (0.093) and seeds (0.122), non reducing sugar in pulp (0.48%) and seeds (0.84%), starch content in pulp (4.76%) and seeds (3.32%), carbohydrates in seeds (56.52%) was recorded highest at unripe stage of pumpkin. There were distinct variations among the two different stages of pumpkin for nutritional and physico-chemical characters of fruit under study and it can concluded that the ripe stage of pumpkin was superior to unripe stage in most of characteristics.
Perú-Colombia: La construcción de una asociación estratégica y un desarrollo fronterizo
Authors: Novak Fabián , Namihas Sandra
Published: February 2025

El Instituto de Estudios Internacionales (IDEI) de la Pontificia Universidad Católica del Perú presenta a la comunidad académica y al público en general, la publicación “Perú-Colombia: La Construcción de una Asociación Estratégica y un Desarrollo Fronterizo”, dedicada a analizar los diferentes ámbitos de nuestra relación bilateral, desde el inicio de la república hasta nuestros días, poniendo especial énfasis en la integración y el desarrollo fronterizo. En este sentido, la presente obra se inicia analizando los antecedentes históricos de la relación, desde las guerras de independencia, el Tratado Salomón-Lozano, el conflicto de Leticia, hasta el asilo de Haya de la Torre, entre otros hitos que lamentablemente marcaron una relación de conflicto y tensión o, en el mejor de los casos, de indiferencia, entre 1821 y 1985, año en que se produce un giro radical en la relación. Luego de ello, se estudian los últimos veinticinco años de la relación peruano-colombiana, caracterizada por la búsqueda de una integración profunda y la construcción de una asociación estratégica, basada en sus modelos de desarrollo armónicos y homogéneos y en una multiplicidad de intereses comunes. Así, se desarrollan los avances alcanzados en el campo político y diplomático, en el ámbito económico (comercio, inversión y turismo), en los campos de la defensa y la seguridad, así como en los ámbitos migratorio, consular, cultural y en el de la cooperación técnica y científica. Para concluir, la obra se dedica a establecer los avances realizados en el campo de la integración y el desarrollo fronterizo, los mecanismos de cooperación creados para tal efecto así como los planes de integración y desarrollo que vienen ejecutándose, destinados a la mejora de la calidad de vida de las poblaciones fronterizas de ambos países. En síntesis, se trata de una relación que se ha fortalecido vigorosamente en muy pocos años y cuya proyección será vital para el crecimiento y el desarrollo del Perú y Colombia. Para la elaboración de este trabajo ha sido necesario consultar no sólo las fuentes bibliográficas existentes sobre la materia sino también parte de los tratados y demás instrumentos internacionales suscritos por ambos países, estadísticas y páginas web, el archivo del Ministerio de Relaciones Exteriores del Perú, entre otras fuentes, a efectos de recabar toda la información relevante sobre la relación bilateral. Finalmente, no queremos culminar esta breve presentación sin destacar que para la realización de esta investigación ha sido de vital importancia la colaboración brindada por el Ministerio de Relaciones Exteriores del Perú, en particular de los Embajadores Claudio De la Puente y Félix Denegri, y del Ministro Agustín de Madalengoitia, así como de Pablo Moscoso, investigador del IDEI, como también de la Fundación Konrad Adenauer (KAS) y de su Director Michael Lingenthal, sin cuya iniciativa, entusiasmo y respaldo permanente no hubiera sido posible desarrollar esta investigación.
Monitoramento remoto do consumo de água em agências bancárias utilizando gráficos de controle estatístico
Authors: Freitas Lucas Lepinski Golin , Kalbusch Andreza , Henning Elisa , Lima Marcio Ferreira de
Published: February 2025

O objetivo deste trabalho foi analisar o desempenho de dois tipos de gráficos de controle estatístico de processos, Shewhart e EWMA, para o monitoramento de consumo de água em agências bancárias localizadas na região Sul do Brasil. Os gráficos de controle foram utilizados para identificar eventos atípicos que ocorreram durante o período de análise, de 31/10/2018 até 03/11/2019. Três agências bancárias, localizadas nos municípios de Joinville, Criciúma e Curitiba foram selecionadas para análise. As médias diárias de consumo de água encontradas para a agência de Joinville foram de 4,51 m³/dia, 81,82 L/funcionário/dia, 11,14 L/atendimento/dia e 1,47 L/m²/dia. Na agência de Criciúma os indicadores foram de 4,18 m³/dia, 34,73 L/funcionário/dia, 21,02 L/atendimento/dia e 1,27 L/m²/dia. Após a substituição de todos os mecanismos de acionamento das válvulas de descarga ocorreu a redução do consumo para 2,48 m³/dia, totalizando a economia de 298,69 m³. Os indicadores para a agência de Curitiba foram de 0,61 m³/dia, 34,69 L/funcionário/dia, 1,98 L/atendimento/dia e 0,29 L/m²/dia. Ambos os gráficos analisados apresentaram resultados satisfatórios quanto à detecção de vazamentos, consumos excessivos de água e outros eventos atípicos. Complementarmente, o gráfico EWMA apresentou um melhor desempenho para a detecção de pequenas variações no consumo.
Synthesis of Ag-ZnO/MOF nanocomposite for degradation of dye from aqueous solution under UV light
Authors: Hameed Hayder Mahmood , Hasan Israa Abbas , Awad Afrah Turki
Published: February 2025

Water pollution, a critical environmental challenge, threatens the availability of clean water essential for human survival. Industrial waste streams frequently discharge hazardous dyes such as Congo Red, Methyl Orange, and Methylene Blue, posing severe risks to aquatic ecosystems and human health. These dyes, widely used in industries like plastics, textiles, and cosmetics, contribute significantly to water contamination, necessitating effective treatment methods.  This study addresses the research gap by synthesizing a silver-zinc oxide metal-organic framework (Ag-ZnO-MOF) nanocomposite for photocatalytic degradation of Methyl Orange dye using a chemical precipitation method. The nanocomposite's morphology, crystalline structure, and photocatalytic properties were characterized through SEM, FTIR, XRD, and DRS analyses, confirming its powdery nature and activity in the UV region with a bandgap of 3.3 eV.  Key parameters influencing dye degradation, including solution pH, reaction time, pollutant concentration, and photocatalyst dosage, were systematically studied. The results revealed that optimal conditions (pH 2, 0.03 g photocatalyst, 30 ppm dye) achieved a remarkable 96% degradation efficiency. This research highlights the Ag-ZnO-MOF nanocomposite's potential for addressing industrial dye pollution, offering an effective and sustainable solution for water purification.
Keywords: Dye removal; metal-organic framework; methyl orange; photocatalyst.
Educação infantil: práticas com movimentos corporais na pandemia de covid-19
Authors: Cadima Junior Paulo Cesar , Oliveira de Azevedo Heloisa Helena
Published: February 2025

Objetivo: Este estudo examina como a pandemia de COVID-19 afetou as estratégias dos professores de educação infantil para incorporar atividades de movimento corporal, baseando-se na Teoria Histórico-Cultural.
Métodos: A pesquisa envolveu análise qualitativa de conteúdo de entrevistas com professores de educação infantil, focando nos desafios e adaptações feitas durante a pandemia.
Resultados: Os resultados indicam que, apesar dos esforços dos professores para manter atividades desenvolvimentais, desafios significativos surgiram devido ao isolamento, como falta de espaço físico, materiais e conhecimento dos pais para auxiliar nas atividades. Esses desafios foram mais evidentes quando as crianças retornaram às aulas presenciais, mostrando dificuldades motoras.
Conclusão: A pandemia destacou a importância das atividades físicas no desenvolvimento infantil e a necessidade de melhores estruturas de suporte para possibilitar a aprendizagem efetiva durante crises.
Pentingnya Mentor Sebagai Pemimpin Penggembala Pada Kelompok Guru [The Importance of a Mentor as a Shepherd Leader in a Group of Teachers]
Authors: Rumanti Elisabet Dewi
Published: February 2025

XYZ School is a Christian school in Manado that has implemented teacher mentoring program since the school was established. Changes in the implementation of mentoring programs that were designed in structured way created anxiety for leaders who had to become mentors about their leadership ability to focus not only on professional development, but also on shepherding role. This research aims to determine how deep the role of mentor as shepherd leader is in professional development, identify challenges faced by mentor and how to overcome it, and identify the impact of mentor’s role as shepherd leader on the process of forming mentee’s life formation. This study uses qualitative approach with an exploratory case study design. Determination of informants is done by purposive and snowball sampling as many as fourteen informants. The research showed that mentors are a shepherding leader in professional development through various intentional activities in mentoring meetings. Mentor struggles with challenges from within. In facing challenges, mentor experiences life changes and growth, then processed in response to God's calling. The small group context builds deep relationships that helps mentor to know, feed, lead, and to be a role model. Mentor’s life changes and deep relationships have influenced mentee and inspired process of forming their life formation
Pengaruh Media Pengajaran Dalam Peningkatan Partisipasi Belajar Peserta Didik Pada Proses Belajar Asynchronous Pada Kelas Inklusi [The Influence of Teaching Media on Improving Student Participation in Asynchronous Learning in Inclusive Classes]
Authors: PRATIWI DINDA NURLIA , Prinastining Dyah Wigati  , Robinson Leonardo Ticoalu
Published: February 2025

Every individual, including students with special needs or those with exceptional intelligence, has the same right to education. Unfortunately, many educators still lack sufficient awareness about this phenomenon. As a result, issues in the classroom related to students with special needs are often not adequately addressed. Therefore, the solution to this challenge is inclusive education. The implementation of inclusive education can help students develop their potential to the fullest. This study aims to provide basic knowledge about inclusive education to graduate students of Universitas Pelita Harapan, class of 52, through interactive learning on Google Classroom. The research uses a qualitative approach, with 18 respondents who are expected to identify early signs if one of their students shows special characteristics. The findings of the study show that the completion rate of tasks in the inclusive classroom did not fully reach 100%, indicating that some participants did not complete their assignments. However, participation in the inclusive classroom remained high, with a minimum task completion rate of 80.3%. The use of interactive and varied learning media can facilitate the development of various types of intelligence in students, creating a more inclusive and empowering learning environment.
Leveraging the Aspects of Knowledge, Attitude, and Practice as an Alternative to Prevent Detrimental Impacts of Stunting
Authors: Luthviatin Novia , Rohmawati Ninna , Wati Dwi Martiana , Darmaningtyas Jihan , Pasha Yessinia Hanatha
Published: February 2025

Background: The prevalence of stunting in Indonesia is recorded at 21.6% among children under five, while the WHO target for 2025 is less than 14%. Prevention efforts are crucial for mitigating its detrimental impacts. One of the early prevention efforts is health education about nutrition through strengthening knowledge, attitudes, and practices related to healthy food consumption.
Objectives: This study aimed to measure the differences in the levels of knowledge, attitudes, and practices in school-age children following health education about nutrition.
Methods: This study used a pre-experimental method involving 40 students aged 13 to 15 years. All students received nutritional health education through drama performances and lectures about healthy food and practiced bringing healthy packed meals at certain times. Data were analyzed using the Wilcoxon test and Friedman test.
Results: Descriptive analysis showed an increase in the average values of knowledge, attitudes, and practices. The Wilcoxon test revealed a significant increase in knowledge (p-value=0.035) before and after the intervention. Meanwhile, the Friedman test revealed a significant increase in practices (p-value<0.001) before and after the intervention, with the practice of bringing and consuming healthy packed meals remaining consistent up to four weeks after the intervention.
Conclusions: Interventions using drama performances, lectures, and the provision of healthy packed meals significantly increased knowledge and practices among junior high school students. These interventions can be used by schools and related agencies to promote the habit of bringing healthy food to prevent the negative impacts of stunting.
Knowledge, Attitudes, and Practices of ICU Medical Staff toward Nutrition Care and its Impact on Patient Recovery in Taiz, Yemen
Authors: Mohammed Haitham T. S. , Ali Lamia A. S. , Saif Malak Anwar , Al-Adeemy Nada Khalid , Al-Nadhary Noha Kamel , Saif Raghad Sameer , Al-Nadhary Shaima Kamel , Al-Dobai Yomna Mukarram , Sari Nur Mufida Wulan
Published: February 2025

Background: Proper nutrition is essential for enhancing patient recovery, especially within hospital environments. ICU medical staff are instrumental in providing appropriate nutritional care, which significantly affects patients' health outcomes. However, in Yemen, the lack of knowledge for assessing nutritional requirements, and the importance of nutrients adequacy for patients underscores the importance of improving staff involvement in nutrition care quality management.
Objectives: The study aimed to determine the nutritional Knowledge, Attitude, and Practice (KAP) of medical staff in the Intensive Care Unit (ICU) in ninth selected hospitals in Taiz City.
Methods: This study used a descriptive cross-sectional design in both governmental and non-governmental hospitals from March 1st,2024 to August 10th,2024. The medical staff who work in ICU were invited to answer questionnaire to assess their knowledge, attitude, and practices related to nutrition care.
Results: Showed that from 87 personal of medical staff in ICUs. Gander and place of work had a significant correlation with their knowledge (p-value=0.049 and p-value=0.007, respectively). Medical staff attitude had no significant correlation. medical staff knowledge/attitude had a significant relationship with Gander and place of work (p-value=0.025 and p-value=0.055, respectively). medical staff practice had a significant relationship with education level and job title (p-value=0.029 and p-value=0.018, respectively). medical staff knowledge and attitude/practice had a significant relationship with Gander (p-value=0.024).
Conclusions: Findings demonstrate that respondents in Taiz, Yemen, had low nutritional KAP scores, indicating inadequate knowledge hindering effective nutrition care in ICUs. High-quality documentation and nutrition knowledge are crucial for improving ICU nutrition practice.
Faktor yang Mempengaruhi Siklus Menstruasi pada Mahasiswi di Depok, Indonesia
Authors: Fitri Syania , Sofianita Nur Intania , Octaria Yessi Crosita
Published: February 2025

Latar Belakang: Masa remaja merupakan fase kritis dalam proses perkembangan hidup, termasuk perkembangan reproduksi pada remaja perempuan. Siklus menstruasi merupakan salah satu aspek krusial dalam kesehatan reproduksi remaja perempuan, yang rentan mengalami gangguan akibat berbagai faktor.
Tujuan: Penelitian ini bertujuan untuk mengindentifikasi faktor yang paling memengaruhi siklus menstruasi pada mahasiswa di Depok.
Metode: Penelitian ini merupakan desain potong lintang. Penelitian ini melibatkan sebanyak 193 responden yang dipilih menggunakan metode sampling acak berstrata. Pengumpulan data terkait konsumsi makanan cepat saji (frekuensi dan asupan lemak) dilakukan menggunakan formulir Semi-Quantitative Food Frequency Questionnaire (SQ-FFQ), sedangkan kualitas tidur diukur dengan kuesioner Pittsburgh Sleep Quality Index (PSQI), tingkat stres dengan kuesioner Perceived Stress Scale-10 (PSS-10), dan siklus menstruasi melalui kuesioner siklus menstruasi. Analisis data dilakukan menggunakan uji chi-square dan analisis logistik berganda.
Hasil: Berdasarkan hasil analisis tidak ditemukan hubungan antara frekuensi konsumsi makanan cepat saji dengan siklus menstruasi (p-value=0,0780). Sementara itu, variabel asupan lemak (p-value=0,027; OR=2,6), kualitas tidur (p-value=0,009; OR=10,8), dan tingkat stres (p-value<0,001; OR=7,19) menunjukkan adanya hubungan dengan siklus menstruasi. Pada analisis multivariat ditemukan bahwa tingkat stres merupakan faktor dominan yang mempengaruhi siklus menstruasi (p-value<0,001; OR=9,411).
Kesimpulan: Penelitian ini menyimpulkan adanya hubungan antara asupan lemak, kualitas tidur, dan tingkat stres terhadap siklus menstruasi pada mahasiswi gizi. Tingkat stres diketahui sebagai faktor utama yang mempengaruhi siklus menstruasi pada responden.
The Role of the As'adiyah Pesantren in Countering Radicalism in Wajo of Indonesia
Authors: Nurdin Nurdin , Hasmulyadi Hasmulyadi , Hamzah Ekawati
Published: February 2025

The radicalism and extremism movement has spread to religious educational institutions, especially in Islamic boarding schools. This research aims to strengthen the As'adiyah Islamic Boarding School community in Wajo Regency which focuses on the role of As'adiyah Islamic Boarding School in promoting moderate Islamic values and Pancasila in facing the challenges of radicalism, as well as strategies carried out by Islamic boarding schools to prevent the spread of radical ideas among students and the surrounding community. This article uses a qualitative approach with observation, interview, questionnaire, and documentation techniques to collect data. The results of the study show that the spread of radical ideas in the pesantren environment and the community is still a significant challenge, with indications that some students are exposed to radicalism and extremism. As'adiyah Islamic Boarding Schools have great potential in encouraging the creation of religious harmony and building a tolerant and peaceful society. This article contributes science in providing insights that are a reference for the government and the community to empower pesantren as a fortress of moderation and a tool to prevent radicalism at the local and national levels.
Impact of charcoal and tree species on forest soil recovery after fire disturbance
Authors: Tran Thi Hong Van , Woś Bartłomiej , Wanic Tomasz , Pietrzykowski Marcin , Józefowska Agnieszka
Published: February 2025

Background and aims Charcoal and tree species are among the main factors influencing forest soil recovery after fire disturbance. This study investigates the impact of charcoal on the podzolization process and examines the effects of different tree species on soil properties in post-fire sites.Methods Research plots were established in pure stands of Scots pine (Pinus sylvestris L.), European larch (Larix decidua Mill.), silver birch (Betula pendula Roth), and pedunculate oak (Quercus robur L.) in two variants: with and without charcoal removal before tree planting. Soil samples were collected from various horizons and analyzed for various physical and chemical soil properties. The study utilized principal component analysis, correlation, and graphical representations prepared with Canoco 5 and R software to analyze the data.Results The presence of charcoal significantly accelerated the podzolization process, particularly under pine and birch stands. Tree species were found to distinctly affect soil formation, with pine and birch promoting more acidic conditions conducive to podzolization, while oak and larch had a more neutral effect. The comparison of soil classification systems revealed that the World Reference Base for Soil Resources more effectively captured the variations in soil properties influenced by tree species and charcoal compared to the USDA Soil Taxonomy.Conclusion Charcoal and tree species play crucial roles in post-fire soil recovery. The retention of charcoal can accelerate podzolization, especially under specific tree species, impacting soil classification and management strategies in fire-prone areas.
Effects of injectable mineral supplementation on health, metabolic stress, and performance in Holstein cows during the transition period
Authors: Marques Raquel Souza , Pinheiro Filipe Aguera , Mori Clara Satsuki , Suárez-Retamozo Susan , Almeida Rodrigo , Lima Bruno Sivieri , Durel Luc , Gomes Viviani
Published: February 2025

Metabolic distress in dairy cows during the transition period is associated with a high incidence of infectious diseases and reduced performance. This experimental field trial evaluated the use of injectable mineral supplementation (IMS) to prevent metabolic distress in Holstein cows during the transitional period. The IMS group (n = 189) received three injections (10 mL) of a multi-mineral supplement (Fosfosal, Virbac Brazil, São Paulo, Brazil) at days − 14, 0 (calving day) and + 14 days after parturition. The non-supplemented group (NIMS; n = 123) received three placebo injections. Productive, health, and reproductive performances were assessed along with metabolic distress biomarkers in a subset of cows (NIMS, n = 32; and IMS, n = 34). IMS cows had lower incidences of persistent hypocalcemia and metritis, along with reduced haptoglobin, higher glucose, and lower beta-hydroxybutyric acid (BHB) concentrations. The IMS group had higher enzyme activities for glutathione peroxidase (GPx), reduced glutathione (GSH), and higher immunoglobulin G (IgG) concentrations. Mineral supplementation did not affect milk production, somatic cell count (SCC), or reproductive performance. In conclusion, IMS-supplemented cows showed improved immunity, characterized by an anti-inflammatory profile, higher IgG concentrations, reduced lipid metabolism, and oxidative stress, positively affecting their overall health.
Adaptive Multilayer Ensemble based Real Time Stream data Classification : Architectural Perspectives and Performance
Authors: Jadhav Shailaja , Kodavade Dattatraya
Published: February 2025

Recently, there has been a lot of study focused on large-scale data analysis. Data typically arrives continually in the form of data streams in numerous applications of today’s data intensive world. The analytics engines designed to deal with streaming data need to be capable of acting on data -in- motion . Since the conventional techniques for data mining and machine learning were created for static datasets, data streams present unique difficulties. They are unable to effectively analyse data that is expanding at a quick pace and are less suitable to take into account the representative qualities of data streams. The authors through this research viz. A-MERIT-C(Adaptive Multitiered Ensemble for Real (Integrated with feature engineering) Time Classification), have presented an active learning data stream analysis model through Ensemble Learning Framework ,which is able to learn concepts in near real time streaming data environment. The design of the framework is adaptive to address the dynamism associated with real time data through the classifier pool (i.e. it chooses the best performing classifiers). This design of Adaptive Multitiered Ensemble is composed of prequentially evaluated classifiers rather than traditional hold out evaluation. The distinguishing characteristics of A-MERIT-C give considerable improvements in terms of f1 (87.48), recall (77.79), accuracy (79.27) AUC (88.89) for streaming data analytics as compared to that of similar real time airline FLTRADAR 24 models ; on the other hand, it is able to address the limitations of existing algorithms such as concept evolution , feature drift through incremental learning and feedback .
Vestibular circuit stimulation for retuning locomotor dynamics in Parkinson's disease
Authors: Hartig Johannes , Friedrich Maximilian , Signoret-Genest Jérémy , Tabuchi Sawako , Schöneberg Nina , Peach Robert , Doll Dennis , Petschner Tobias , Knorr Susanne , Volkmann Jens , Tovote Philip , Ip Chi Wang
Published: February 2025

Postural and locomotor dysfunction represent axial symptoms of Parkinson’s disease (PD), remaining poorly treated by medication and deep brain stimulation. Non-invasive neuromodulation of the vestibular system, centered on the vestibular nucleus complex (VNC), offers a novel therapeutic avenue. However, the underlying circuits remain ill-explored. In this study, we found that the VNC in mice feeds extensive Vglut2-defined projections into striato-thalamo-subthalamic and caudal medulla motor hubs, but not the mesencephalic locomotor region. Optoactivation of excitatory VNC neurons below the threshold for vestibular symptoms promoted activity in these basal ganglia-brainstem axis targets. Unbiased analysis of pose dynamics revealed global enhancement of behavioural transitions and locomotion, confirmed by regular kinematic analyses. Therapeutically, it enabled resynchronization of naturalistic gait patterns and improved locomotor performance, but not capacity, in parkinsonian mice. Our data identify excitatory VNC circuit processes for therapeutic retuning of motor dysfunction in the context of PD.
Deficiency of integrin β4 contributes bronchopulmonary dysplasia by compromising cellular stability through the activation of RhoA-(ZO- 1) signaling pathways
Authors: Zhang Dongliang , Wang Xianhui , Han Jingjing , Shao Xiaoyun , Xiang Yang , Chi Yinxiu
Published: February 2025

Alterations in the composition and remodeling of the lung extracellular matrix (ECM) are critical for lung development. Our research identified that mice with a conditional knockout of integrin β4 (ITGB4) exhibit lung dysplasia. In this study, we investigated the expression of collagen IV (IVcol) and matrix metalloproteinase 9 (MMP9) in both normal and ITGB4-deficient mice using Western blot and immunohistochemistry techniques. Our findings indicate that ITGB4 deficiency results in bronchopulmonary dysplasia, which is characterized by increased deposition of IVcol and reduced expression of MMP9. The zonula occludens-1 (ZO-1), on both normal and IV collagen-coated substrates was assessed using laser confocal microscopy. Concurrently, RhoA activities were quantified via fluorescence resonance energy transfer (FRET) microscopy. The findings indicated a significant disruption of ZO-1 in ITGB4-deficient cells, accompanied by an dcrease in RhoA activity.However, RhoA activity was enhanced in ITGB4−/−cells on the type IVcollagen-coated substrate. Furthermore, the application of rhosin resulted in an enhanced expression of ZO-1 in ITGB4−/− cells. These findings indicate that reduced expression of ITGB4 leads to elevated levels of IV collagen and hinders the adaptation of bronchial epithelial cells.
The application of Simulated Annealing Algorithm, Firefly Algorithm, Invasive Weed Optimization, and Shuffled Frog Leaping Algorithm for prediction of Water Quality Index
Authors: Ghadimi Feridon , Moghaddam Sara
Published: February 2025

Groundwater is a vital resource for drinking water, agriculture, and industry worldwide. Effective groundwater quality management is crucial for safeguarding public health and ensuring ecological sustainability. Hydrogeochemical data modeling is widely utilized to predict groundwater quality using various approaches. The method proposed in this study leverages an intelligent model combined with groundwater chemical compositions. Sampling was conducted from 175 drinking and agricultural wells in the Arak Plain. By utilizing hydrogeochemical data and performing correlation and sensitivity analyses, the key groundwater chemical compositions were identified: Ca²⁺, Cl⁻, EC, HCO₃⁻, K⁺, Mg²⁺, Na⁺, pH, SO₄²⁻, TDS, and NO₃⁻.The study predicted the Water Quality Index (WQI) values using the groundwater chemical composition data and an artificial neural network (ANN) model. The chemical compositions of the groundwater served as the model’s input, while the WQI was treated as the model’s output. To enhance the ANN's accuracy, several optimization algorithms were used, including: Simulated Annealing Algorithm (SAA), Firefly Algorithm (FA), Invasive Weed Optimization (IWO), and Shuffled Frog Leaping Algorithm (SFLA).The comparison of results indicated that the ANN-SAA model outperformed the other models. The R² and MSE values for the ANN-SAA model in predicting the WQI were for training data: R² = 0.8275, MSE = 0.0303 and test data: R² = 0.7357, MSE = 0.0371.These results demonstrate that the ANN-SAA model provides a reliable and accurate method for predicting groundwater quality index values, offering a valuable tool for groundwater quality assessment and management.
Advancing Audio-Visual Attention Analysis in 360° Videos Through Real-Time Visualization
Authors: Hirway Amit , Qiao Yuansong , Murray Niall
Published: February 2025

This study presents an open-source, real-time visualization tool designed to analyse audio-visual attention in 360° video environments under varying sound conditions. Traditional methods, such as static saliency maps and post-hoc analyses, often fail to capture the dynamic and participant-specific nature of attention shifts in immersive environments. To address these limitations, the proposed tool dynamically integrates head pose fixation maps with sound intensity heatmaps, enabling real-time tracking of attention patterns across different audio conditions, including No Sound (NS), Stereo (ST), First-Order Ambisonics (FO), and Third-Order Ambisonics (HO). Attention shifts across sound conditions were quantified using the Jaccard Index, which measures the overlap of the top 5% most-viewed regions across participants. The results demonstrate that increasing auditory complexity—from silence to spatial audio—significantly broadens visual exploration. First-Order Ambisonics (FO) led to the most dispersed attention patterns, with a 62.4% reduction in attention overlap indoors and 58.8% outdoors compared to NS. Third-Order Ambisonics (HO) resulted in a 61.2% reduction indoors and 52.0% outdoors, suggesting that while FO encourages broader exploration, HO facilitates a more focused distribution of attention. Notably, HO conditions led to a 3.2% increase indoors and a 16.6% increase outdoors in attention overlap compared to FO, indicating that higher-order spatial audio helps guide attention more precisely in complex environments. Unlike conventional approaches, which rely on static analyses, this tool provides real-time, participant-specific insights into attention shifts, offering a dynamic perspective on how spatial audio influences exploration. These capabilities empower VR content creators and researchers with actionable insights, optimizing spatial audio design and enhancing user engagement. By offering a robust and adaptable framework, this study advances the understanding of audio-visual interactions in immersive media environments.
Quaternion tensor low rank approximation
Authors: Zahir alaeddine , Jbilou Khalide , Ratnani Ahmed
Published: February 2025

In this paper, we propose novel approaches for low-rank approximation of quaternion tensors. The first method employs quasi-norms to approximate a low-rank tensor using the QT-product, which generalizes the L-product to N-mode quaternions. The second method leverages Non-Convex norms to approximate both the Tucker and TT-rank for tensor completion. We demonstrate that the proposed methods provide more accurate tensor approximations compared to traditional convex relaxations of rank, such as the nuclear norm. Furthermore, we establish theoretical guarantees supporting the effectiveness of our models. To validate their performance, we conduct extensive numerical experiments, illustrating the superiority of our methods in inpainting and denoising applications. The results confirm that incorporating Non-Convex surrogate functions and quaternion tensor representations leads to enhanced reconstruction accuracy and robustness, making them valuable tools for high-dimensional data processing.
VIPER: Variational Inference for Pattern Extraction and Recognition in Genome Sequences using State Space Models for Cancer Detection
Authors: Bairwa Amit Kumar , Bhat Siddhanth , Sawant Tanishk , Varma Prabhath , Kushwaha Satpal Singh
Published: February 2025

This study presents VIPER, a novel deep-learning framework for cancer-causing mutation detection from genomic data. VIPER uniquely combines 1D Convolutional Neural Networks (Conv1D) with Mamba blocks, a structured state-space model (SSM) architecture, to capture local and long-range dependencies in genomic sequences. Unlike traditional methods or state-of-the-art models like Transformers, VIPER offers enhanced scalability and computational efficiency, making it well-suited for large-scale genomic analysis. The model was evaluated on the Genome Screen Mutants VCF dataset and achieved a training accuracy of 96.84%, a validation accuracy of 97.30%, and an F1 score of 97.13%. These results outperform conventional deep learning models on the same dataset, including RNNs, CNNs, and Transformers. VIPER also significantly reduced computational overhead while maintaining high precision (97.52%) and recall (96.51%), highlighting its utility in clinical workflows. By focusing on clinically significant mutations, such as driver mutations associated with oncogene activation, VIPER provides actionable insights for precision oncology. This work advances the state of the art in cancer genomics by delivering an accurate, efficient, and interpretable solution for large-scale mutation detection. Future extensions may integrate multiomics data to enhance diagnostic capabilities further.
Association between Prenatal, Pre-pregnancy Rainfall and Adult Obesity: Findings from the Community Behavior and Attitude Survey in Tuvalu (COMBAT)
Authors: Wei Chih-Fu , Tang Lois , Lin Po-Jen , Lee Tai-Lin , Wu Stephanie , Chang Chia-Rui , Shih Chih-Wei , Lo Yuan-Hung , Shiau Shi-Chian , Tausi Selotia , Sosene Vine , Maani Pauke , Tupulaga Malo , López-Gil José Francisco , Hershey Maria , Hsu Yu-Tien
Published: February 2025

Tuvalu has one of the highest obesity prevalence rates globally, and is a Pacific Island nation facing significant climate change challenges. Altered rainfall pattern, as a part of climate change, may influence obesity risk during the critical developmental periods. This study investigated the associations between rainfall exposure during prenatal, pre-pregnancy periods and adult obesity in Tuvalu. A nationwide survey was conducted between February and May 2022, which included 892 adults from Tuvalu. Rainfall data was obtained from ECMWF Reanalysis v5 based on participants’ birth year and birthplace. Rainfall exposure during the first year of birth, the year before birth, and two years before birth was analyzed, and rainfall exposure between three to five years before birth were included as negative control periods. Obesity and severe obesity were defined based on body mass index (BMI) upon the survey, according to the World Health Organization criteria. The results showed association between higher rainfall before birth increased BMI and greater odds of adulthood obesity. These associations were more pronounced among male participants. No significant associations were observed for rainfall three to five years before birth. In conclusion, prenatal exposure to higher rainfall during the year and two years before birth are associated with increased obesity risk in adulthood, reflecting prenatal environmental influences on developmental periods. These findings emphasize the importance of understanding climate-related health exposures and the need for targeted interventions in climate change-vulnerable populations. Further research should explore heterogeneity across Pacific Island nations and the mechanisms linking rainfall, birth weight, and obesity.
Integrated Modeling and Management of Non-Point Source Pollution in the Bailin River Basin: Best Practices for Reducing Nutrient Loads
Authors: Wang Hao , Liu Yifeng , Zhu Shijiang , Liu Yang , Xu Wen
Published: February 2025

The Bailin River, a key tributary of the Yangtze River, faces significant water quality challenges due to agricultural non-point source (NPS) pollution exacerbated by industrial discharge and urban runoff. This study employs the Soil and Water Assessment Tool (SWAT) to analyze the temporal and spatial dynamics of runoff as well as total nitrogen (TN) and total phosphorus (TP) loads in the Bailin River basin from 2020 to 2023. A critical source area analysis was performed to identify regions disproportionately contributing to pollutant loads. Through various simulations, including different Best Management Practices (BMPs) scenarios, the study explores their effectiveness in reducing nutrient loads. The findings reveal that nutrient losses are significantly concentrated during the flood season, with TN and TP losses accounting for 58.61% and 58.92% of annual totals, respectively. Specific BMP scenarios, combining optimized fertilization, vegetation buffer strips, and grass ditches, demonstrated substantial pollutant reduction, with the best combinations exceeding 58% reductions for both TN and TP. The study emphasizes the necessity of targeted interventions in critical source areas to optimize management strategies and achieve better water quality outcomes. Continuous monitoring and adaptive management practices will be crucial to addressing ongoing challenges of non-point source pollution in this basin. Ultimately, this research contributes to a deeper understanding of NPS pollution in mountainous watersheds and highlights effective management pathways for improved ecological health and water quality.
From Piaget to Posthumanism: Critical Review of Conceptualization of AI in Early Childhood Education
Authors: Cai Zhuoyun , Xing Yaxin Grace , Yamamoto Yuya , Wang X. Christine
Published: February 2025

Artificial Intelligence (AI) is increasingly integrated into Early Childhood Education (ECE), reshaping how young children learn and develop. While existing studies have explored AI’s practical applications in ECE, they often neglect the critical conceptualization necessary to deepen our understanding of its role in this field. To address this gap, we critically reviewed 35 empirical studies on AI in ECE, adapting Kafai and Proctor’s (2022) cognitive, situated, and critical framings of computational thinking. Our analysis investigates how these studies conceptualize “learning with AI” and “learning about AI” and address foundational questions of “who,” “what,” and “how” in AI education for young children. The findings reveal a strong emphasis on cognitive and situated framings, which focus on individual and contextual applications of AI. However, there is a notable lack of attention to broader societal impacts and equity concerns from a critical perspective. To bridge this gap, we propose a post-humanist perspective, framing AI as a new ontological category that enhances our understanding of its role in ECE. Additionally, we advocate for an ethical care framework, emphasizing empathy and inclusivity, in designing AI learning experiences. These approaches aim to foster a sustainable and socially responsible ecosystem for early learning with and about AI.
Informatic tools for diagnosis in dentistry. A compilation review
Authors: Gil Alain Manuel Chaple
Published: February 2025

The objective of this study was to compile the computer tools available in the scientific literature aimed at helping the diagnosis in dentistry. A scoping review was conducted using PubMed, Scopus, and Web of Science. Were include articles that reported the usefulness of a computer/technological tool that helps diagnosis in dental practice, published in the last 20 years in English and Spanish. Online tool Rayyan® was used to establish homogeneity in the review of the authors and centralize the results. In total, 12648 records were retrieved from the databases. After decantation, 39 reports described 36 computer tools used to help for diagnosis in dentistry. More informatic tools related to "Restorative Dentistry’ have been developed than the rest of the specialties 14 (40%). Python was the predominant programming language, 83.3% of the tools were validated, and 27.8% were free. Informatics tools in dentistry enhance the diagnosis and treatment planning. However, a robust regulatory framework is required for validation prior to clinical implementation. Continuous training of dental professionals using these technologies is crucial to maximize their benefits and ensure optimal patient care. More research is needed to explore the potential of informatics applications in dentistry, their integration into existing health systems, and their accessibility in resource-limited areas.
The boundary disorder correlation for the Ising model on a cylinder
Authors: Greenblatt Rafael Leon
Published: February 2025

I give an expression for the correlation function of disorder insertions on the edges of the critical Ising model on a cylinder as a function of the aspect ratio (rescaled in the case of anisotropic couplings). This is obtained from an expression for the finite size scaling term in the free energy on a cylinder in periodic and antiperiodic boundary conditions in terms of Jacobi theta functions.
EFFECT OF CALCIUM SUPPLEMENT AND PHYSICAL EXERCISES ON SELECTED PARAMETERS OF POSTMENOPAUSAL OSTEOPOROSIS IN WOMEN
Authors:   Junior Resident in Orthopaedics, ACPM Medical College, Dhule., Shrinivas Madke Aman , Pathak Harshada ,   BPHC, Physiotherapist in ACPM Medical College, Dhule., S.Madke Shashikala ,   BMHS, ND., A. Mane Pooja ,   Junior Resident in OBGY, GMC Miraj.
Published: February 2025

The aim of this study to identify the effect of the calcium supplement & physical exercises selected parameters in postmenopausal women.

Material and Methods: The study used a descriptive evaluative approach with a pre-experimental control before-after research design, in which investigators assessed the effects of calcium supplementation and physical exercise on selected parameters in postmenopausal women in the outpatient departments. The research comprised 30 postmenopausal women from orthopaedic outpatient clinics. A basic random sampling method was employed to select the sample. ECOS 16 Questionnaire and Mini Osteoporosis Scale were used to obtain data. Describing and inferential statistics were used to analyses the data.

Result: According to the findings of this research, Posttest mean blood calcium level 8.64 with SD of =0.302 was higher than the Pretest mean blood calcium level 8.22 with SD of = 0.370. In the t-test study the gap in Pretest and Posttest average blood calcium level was found to be considerable at the level of 0.05 (t=3.45 p<0.00001). This means that calcium supplements and exercise have a positive influence on postmenopausal womens calcium levels. Posttest mean BMD level -2.18 with SD of =0.58412 was higher than the Pretest mean BMD level -2.35 with SD of = 0.8773. In the t-test study the gap in Pretest and Posttest average BMD level was found to be considerable at the level of 0.05 (t=2.95 p<0.00001). This means that calcium supplements and exercise have a positive influence on postmenopausal womens calcium levels.

Conclusion: The results revealed that calcium supplementation and exercise had a substantial favorable impact on BMD levels of menopausal women.