bluuebunny/crossref_metadata_2025 huggingface dataset:
Teachers’ Perspectives on Planning for School Improvement: Processes, Critical Factors, and Perceived Outcomes
Authors: Carvalho Marisa
Published: July 2023

Strategic planning and strategic action have been identified as valuable frameworks for school improvement. Therefore, school reforms in different parts of the world have mandated formal planning to support improvement. However, planning is only sometimes fully embraced and knowledge-based, raising questions about schools' efficacy in strategic planning and action processes. In that sense, developing a better understanding of strategic planning and action is critical. This study focuses on the school planning processes in Portuguese schools by exploring how three Portuguese schools engaged in strategic action planning processes. A qualitative approach was employed. School strategic processes, critical factors for high-quality strategic action and planning, and perceived outcomes of strategic action plans were identified. The findings indicate that schools have embraced strategic action plans, despite the difficulties encountered during the planning and implementing process. Planning was limited by deadlines, failing in teachers, and other stakeholders' participation. Limited financial support and human resources were identified as factors hindering plan implementation. Compromise to school mission was identified as the main factor facilitating planning and action. The results point to crucial challenges for policymakers and school leaders. It also has relevant implications for future research related to school improvement.
Zindering. Over disciplines, de kleur wit en gender
Authors: Mak Geertje
Published: July 2023

Geertje Mak geeft een zinderend persoonlijk inkijkje in haar autobiografische motor die knetterde door de wrijving tussen ideeën, disciplines, personen, en het van onderaf organiseren van haar eigen kennisontwikkeling. Zij gaat in op de interdisciplinariteit van genderstudies en haar eigen bewustwording van haar kleur wit en haar genderidentiteit.
Samen sporen zoeken van feminisme en verzet
Authors: Stam Dineke
Published: July 2023

Dineke Stam gebruikt een aantal thema’s als kapstokken voor haar boeiende verhaal: samenwerken, sporen en verzet, die ook steeds terugkomen in haar onderzoek en in de verschillende presentaties daarvan. Tijdens haar loopbaan buiten de universiteit hield zij zich bezig met drie belangrijke thema’s: Gender- en Vrouwengeschiedenis, Tweede Wereldoorlog & de Shoah en Kolonialisme & Slavernij, als onderzoeker, tentoonstellingsmaker en in participatieprojecten.
Waarderen van vrouwen. Twee zijden van dezelfde medaille
Authors: Mourits Marian
Published: July 2023

Marian Mourits beschrijft haar loopbaan in de medische wetenschap en de obstakels die vrouwen moeten overwinnen. Een duidelijk voorbeeld is hoe tijdens haar zwangerschap haar promotieonderzoek, zonder verder overleg, van haar werd afgepakt. Zij pleit in haar artikel voor meer sponsorship voor vrouwen.
What is Left Unseen
Authors: Buikema Rosemarie
Published: July 2023

In this article Rosemarie Buikema demonstrates how feminist scholarship has contributed from a variety of perspectives to the study of the dynamics between the subject and the object of knowledge. She in particular shows how she as a Genderstudies scholar has produced new knowledge and insights by means of paying attention to the processes of in- and exclusion, and the accompanying workings of erasure and neglect. She gives the example of an exhibition in which the Museum of Equality and Difference (MOED) re-curated the cultural heritage of abolitionism, giving centre stage to the black, previously enslaved woman Sojourner Truth rather than the white Dutchman Nicolaas Beets.
Price behavior of small and medium enterprises on the Saudi stock exchange in the face of market illiquidity
Authors: Bensoltane Héla
Published: July 2023

This research examines the impact of market illiquidity on asset prices. This topic has been widely discussed in the U.S. market, particularly in relation to the effects on small-caps and large-caps. The objective of this study is to investigate the relationship between returns and market illiquidity shocks on the Saudi stock exchange, with a specific focus on medium and small capitalizations. Small and medium enterprises (SMEs) in Saudi Arabia play a significant role in driving economic growth, comprising 99.5% of the private sector. Given their importance in diversifying the Saudi economy and enhancing non-oil sectors, it is crucial to examine how the stock prices of these enterprises respond to market liquidity issues. To achieve this, illiquidity shocks are estimated for the Saudi stock exchange, followed by an assessment of the overtime relationship between SME returns and the estimated shocks using seven industrial group portfolios. The estimation results validate previous findings and demonstrate that illiquidity shocks in the Saudi market lead to lower prices for all SMEs, irrespective of their industrial group. Moreover, I explore whether this relationship differs between medium and small enterprises. Previous studies have suggested that market illiquidity shocks have a more pronounced impact on the stock prices of small capitalizations compared to large capitalizations. However, my estimation results indicate that the negative effects of illiquidity shocks on stock prices do not significantly differ between medium-sized and small-sized enterprises. This finding is attributed to the lack of substantial disparities in the time-series returns of both portfolio sizes.
The influence of some ecological factors on fish diversity and abundance in Al-Huwyzah marsh / South of Iraq
Authors: Jaafer Abdullah Abdul Hussein , Qasim Audai M. , Adullah Sajad A.
Published: July 2023

From January to December 2019, the composition of fish assemblages in Al-Huwyzah marsh was studied in various ways based on the nature of their life-history strategies. In orders to assess the impact of hydrological variations on fish assemblage composition, diversity, and abundance. Water temperature fluctuated from 12°C in January to 33°C in July. Salinity varied from 1.38 g/l in March to 3.87 g/l in November. Hydrogen ion fluctuated from 7.37 in November to 8.18 in December. Monthly fluctuations in water depth were monitored for flat sections and low-lying areas of the marsh. Fish assemblages in Al-Huwyzah marsh were studied to determine the impact of hydrological and environmental changes on the pattern, abundance, diversity, and richness of fish assemblages. Fixed, drift, and cast gillnets were used to catch the fish. Nine thousand eight hundred fifty-three fish specimens belonging to 18 species, 17 genera, ten families, and six orders were caught from the three selected stations. All of which belonged to the Osteichthyes class. Ten fish species were native, and eight were exotic species. The Abu mullet Planiliza abu was the most abundant species comprising 35.74% of the total number of species, Prussian carp Carassius gibelio 19.74% of the total caught, and blue tilapia Oreochromis aureus 19.23%. The dominance index (D3) ratio is 74.71% of the upper abundance of three fish species in the present area. The equilibrium strategists that prefer stable habitats with a long time breeding season include abundant exotic species, and opportunistic strategists comprise one species of present fish assemblage.

Keywords: Assemblage of fish; Huwyzah marsh; Hydrological variations
Pediatric Injury Surveillance From Uncoded Emergency Department Admission Records in Italy: Machine Learning–Based Text-Mining Approach
Authors: Azzolina Danila , Bressan Silvia , Lorenzoni Giulia , Baldan Giulia Andrea , Bartolotta Patrizia , Scognamiglio Federico , Francavilla Andrea , Lanera Corrado , Da Dalt Liviana , Gregori Dario
Published: July 2023

Background

Unintentional injury is the leading cause of death in young children. Emergency department (ED) diagnoses are a useful source of information for injury epidemiological surveillance purposes. However, ED data collection systems often use free-text fields to report patient diagnoses. Machine learning techniques (MLTs) are powerful tools for automatic text classification. The MLT system is useful to improve injury surveillance by speeding up the manual free-text coding tasks of ED diagnoses.

Objective

This research aims to develop a tool for automatic free-text classification of ED diagnoses to automatically identify injury cases. The automatic classification system also serves for epidemiological purposes to identify the burden of pediatric injuries in Padua, a large province in the Veneto region in the Northeast Italy.

Methods

The study includes 283,468 pediatric admissions between 2007 and 2018 to the Padova University Hospital ED, a large referral center in Northern Italy. Each record reports a diagnosis by free text. The records are standard tools for reporting patient diagnoses. An expert pediatrician manually classified a randomly extracted sample of approximately 40,000 diagnoses. This study sample served as the gold standard to train an MLT classifier. After preprocessing, a document-term matrix was created. The machine learning classifiers, including decision tree, random forest, gradient boosting method (GBM), and support vector machine (SVM), were tuned by 4-fold cross-validation. The injury diagnoses were classified into 3 hierarchical classification tasks, as follows: injury versus noninjury (task A), intentional versus unintentional injury (task B), and type of unintentional injury (task C), according to the World Health Organization classification of injuries.

Results

The SVM classifier achieved the highest performance accuracy (94.14%) in classifying injury versus noninjury cases (task A). The GBM method produced the best results (92% accuracy) for the unintentional and intentional injury classification task (task B). The highest accuracy for the unintentional injury subclassification (task C) was achieved by the SVM classifier. The SVM, random forest, and GBM algorithms performed similarly against the gold standard across different tasks.

Conclusions

This study shows that MLTs are promising techniques for improving epidemiological surveillance, allowing for the automatic classification of pediatric ED free-text diagnoses. The MLTs revealed a suitable classification performance, especially for general injuries and intentional injury classification. This automatic classification could facilitate the epidemiological surveillance of pediatric injuries by also reducing the health professionals’ efforts in manually classifying diagnoses for research purposes.
Evaluation CityGML and CityJSON Data Format for 3D Cadastre in Indonesia
Authors: Putra Romanza Wiradinata , Aditya Trias
Published: July 2023

Infrastruktur, prosedur serta rangkaian kebijakan perlu disiapkan oleh pemerintah dalam rangka implementasi kadaster 3D di Indonesia. Untuk mendukung upaya pengembangan sistem kadaster 3D di Indonesia, terlebih dahulu perlu menyusun dan mempersiapkan beberapa kebutuhan. Salah satu kebutuhan yang paling mendukung implementasi kadaster 3D di Indonesia adalah terkait dengan penggunaan format data. Oleh karena itu, penelitian ini bertujuan untuk mengevaluasi model CityGML dan CityJSON melalui proses konversi IFC menjadi CityGML dan CityGML ke CityJSON berdasarkan hasil pengecekan dan validasi terhadap setiap fitur dan elemen model CityGML dan CityJSON sehingga dapat memberikan rekomendasi kepada pemerintah dalam menentukan format data yang tepat untuk menyimpan dan memvisualisasikan model kadaster 3D. Data yang digunakan adalah elemen IfcSpace dan IfcWallStandardCase pada model IFC stasiun MRT Bundaran HI dan Blok M Jakarta. Konversi IFC ke CityGML dilakukan di perangkat eveBIM, FME, dan FZK. Pada masing-masing software dilakukan percobaan untuk membandingkan representasi geometri fitur dari model CityGML berdasarkan ada tidaknya kesalahan berupa penambahan atau pengurangan geometri fitur. Dengan demikian dapat dievaluasi model CityGML manakah yang memiliki representasi model 3D paling baik dan software yang paling tepat digunakan untuk konversi IFC ke CityGML. Dari evaluasi tersebut dapat diketahui pula apakah model CityGML dapat dikonversi menjadi model CityJSON serta apakah model 3D tersebut memiliki kesalahan. Dari hasil penelitian diketahui bahwa model CityGML yang dikonversi pada perangkat FME dan FZK memiliki representasi geometri fitur yang baik dan sesuai dengan geometri fitur asalnya yaitu model IFC, sedangkan model CityGML hasil konversi eveBIM tidak representatif karena banyak ditemukan kesalahan. Selanjutnya, hasil penelitian menunjukkan bahwa visualisasi model CityJSON tidak dapat dilakukan pada elemen CityGML yang direpresentasikan dalam LoD-4. Sampai dengan penelitian ini dilakukan, skema encoding CityGML versi 3 belum ditetapkan sebagai standar resmi sehingga perangkat lunak yang menangani konversi IFC ke CityGML masih menggunakan CityGML versi 2.
Analitik Geovisual Pengaruh Pandemi COVID-19 Terhadap Pola Dan Kecenderungan Kriminalitas Di Daerah Istimewa Yogyakarta
Authors: Resiana Zelin , Aditya Trias
Published: July 2023

Angka kriminalitas pada pandemi COVID-19 saat ini terus meningkat. COVID-19 tidak hanya memicu kontraksi terhadap ekonomi tetapi juga peningkatan pengangguran secara besar-besaran hal ini dapat menjadi faktor peningkatan angka kriminalitas. Penelitian ini bertujuan untuk melakukan analisis pola distribusi spasial, tren data temporal dan analisis pengaruh pandemi COVID-19  terhadap kriminalitas. Metode yang digunakan untuk memvisualisasikan distribusi spasial adalah clustering metode kernel density, data spasio temporal divisualisasikan dengan menggunakan visualisasi time series (deret waktu), untuk mengetahui pengaruh variabel lain terhadap angka kriminalitas digunakan analisis statistik regresi dengan metode Geographically Weighted Regression (GWR). Hasil yang diperoleh dari penelitian ini adalah pada tahun 2019 pola distribusi spasial kriminalitas terjadi di Kecamatan Depok, Mlati, Ngaglik berada pada wilayah kriminalitas dengan kerapatan titik yang sangat tinggi, dan tahun 2020 yaitu Kecamatan Depok dan Mlati. Jenis kriminalitas yang banyak terjadi tahun 2019 adalah pencurian dan penganiayaan, sedangkan tahun 2020 jenis kriminalitas penipuan dan penipuan dengan penggelapan. Analisis spasiotemporal tindak kriminalitas paling sering terjadi antara pukul 07.00-13.00 dan 12.01-18.00 yaitu 69,00 % tahun 2019 dan 72,00% tahun 2020. Analisis berdasarkan kebijakan PSBB dan PSBB Transisi terjadi peningkatan rata-rata kriminalitas tiap bulan saat diberlakukannya kebijakan. Berdasarkan nilai predicted hasil analisis GWR wilayah dengan kerawanan tinggi ada pada Kecamatan Depok dengan nilai kerawanan 26,67 tahun 2019 dan 35,54 pada tahun 2020. Model dapat menjelaskan data mengenai kriminalitas di Provinsi DI. Yogyakarta yaitu sebesar 47% untuk tahun 2019 dan 52% tahun 2020. Hasil uji-t, pada data 2019 dan 2020 variabel yang berpengaruh signifikan terhadap kriminalitas adalah sama yaitu jumlah laki-laki, persentase datang dan pindah dan persentase remaja. Namun pada data 2020 variabel yang berpengaruh lainnya adalah variabel COVID-19 juga signifikan terhadap kriminalitas.
Perancangan dan Evaluasi Aplikasi Peringatan Rawan Kecelakaan Lalu Lintas berbasis Android
Authors: Ikawati Yeni , Santosa Purnama Budi
Published: July 2023

Data kecelakaan dan pelanggaran lalu lintas di Daerah Istimewa Yogyakarta tahun 2016 sampai dengan tahun 2019 yang diperoleh dari Aplikasi Bappeda Dataku, menunjukkan trend yang meningkat setiap tahunnya. Untuk menekan angka kecelakaan lalu lintas, diperlukan upaya peningkatan keselamatan lalu lintas. Penelitian ini mencoba merancang sebuah aplikasi berbasis Android yang dapat dimanfaatkan oleh para pengendara lalu lintas. Aplikasi ini dirancang untuk memberikan peringatan kepada pengendara saat melintasi jalan yang memiliki riwayat kecelakaan tinggi agar pengendara dapat lebih berhati-hati. Data yang digunakan adalah data riwayat kecelakaan tahun 2019 dan 2020 yang meliputi jumlah kecelakaan dan lokasi kecelakaan khususnya di Daerah Istimewa Yogyakarta. Pengolahan data dilakukan untuk menentukan titik yang akan dijadikan sebagai titik rawan kecelakaan. Kriteria daerah rawan kecelakaan adalah jika suatu lokasi memiliki data kejadian kecelakaan lebih dari sepuluh kali dalam kurun waktu dua tahun. Perancangan sistem dilakukan melalui beberapa tahapan meliputi pengumpulan data dan lokasi kecelakaan, desai aplikasi baik sisi server dan client, perancangan user interface, serta pengujian hasil rancangan. Pengujian hasil rancangan meliputi uji fungsionalitas serta uji usabilitas. Hasil dari penelitian ini adalah sebuah aplikasi yang dapat memberikan informasi daerah rawan kecelakaan di Daerah Istimewa Yogyakarta. Sistem dapat memberikan peringatan dini jika pengguna mendekati area tersebut. Hasil evaluasi menunjukkan bahwa aplikasi dapat berjalan dengan baik sesuai fungsinya.
Impact of the Covd-19 Pandemic on the Mental Health of Nurses
Authors: Mouza Laine Saude , Covre Iris Margon , Silva Gabriely Pereira , ocha Gabrielly Oliveira Rocha , da Silva Glauciney Aparecida , Gomes Eugenio Maria , silva Ingrid Rodrigues da , Gama Raiane de Jesus Gonçalves , Silva Wanessa Soares Luiz , Andrade Elizabeth , Silva Gabriela Oliveira , Almeida Melissa Lafetá de Oliveira , Silva Marina Barbosa and Daniel Rodrigues
Published: July 2023

The healthMental health is a state of psychological, emotional and social well-being that enables people to cope with life's challenges, realize their potential and contribute to society. The new coronavirus pandemic is triggering mental illness in health professionals, especially those in the nursing team. Faced with the pandemic scenario, nursing professionals can acquire harmful results for mental health, triggering reflexes of their hard work routines. The problematization has to do with the health sector presenting challenging situations for health professionals, as workers often have to deal with different adversities in their daily professional lives. Among the difficulties experienced were those related to the nurses' mental health. Given the above, the problem of this research is: How does mental health affect the health of nurses in times of a pandemic? This article aims to analyze the impact of the COVID-19 pandemic on the mental health of nursing teams and what are the strategies to face this challenge. The methodology used in this article is a research with a quantitative approach, with a descriptive character through a bibliographic review.
A Machine Learning-Based Smart City Garbage Collection System
Authors: V Aswini , M Keerthana , G NehaShree , S Sasmitha
Published: July 2023

Abstract: During the process of smart city construction, city managers always spend a lot of energy and money for cleaning street garbage due to the random appearances of street garbage. Consequently, visual street cleanliness assessmentis particularly important. However, the existing assessment approaches have some clear disadvantages, such as the collection of street garbage information is not automated and street cleanliness assessment is not real-time. To address these disadvantages, this paper proposes an urban street cleanliness assessment approach using mobileedge computing and deep leaning. First the sensor are installed inside the dustbin and obtain up to the particular threshold . then Mobile edge service is used to store and extract street image information temporarily.
A Review on Classification of Images with Convolutional Neural Networks
Authors: Kaur Mandeep , Yadava Pradip Kumar
Published: July 2023

Abstract: Deep learning has recently been applied to scene labelling, object tracking, pose estimation, text detection and recognition, visual saliency detection, and image categorization. Deep learning typically uses models like Auto Encoder, Sparse Coding, Restricted Boltzmann Machine, Deep Belief Networks, and Convolutional Neural Networks. Convolutional neural networks have exhibited good performance in picture categorization when compared to other types of models. A straightforward Convolutional neural network for image categorization was built in this paper. The image classification was finished by this straightforward Convolutional neural network. On the foundation of the Convolutional neural network, we also examined several learning rate setting techniques and different optimisation algorithms for determining the ideal parameters that have the greatest influence on image categorization
Microbial Production Bioemulsifier and its Applications
Authors: Shaileshbhai Mr. Gopani Juvin , Pandya Ms. Trupti
Published: July 2023

Abstract: According to various research, Biosurfactants are generally composed of amphipathic motes that have both hydrophilic and hydrophobic ingredients. The hydrophilic composites generally correspond to positive, negative, or amphoteric charged ions, whereas the hydrophobic composites are made up of a long chain of fatty acids. It is getting important in biotechnology products for numerous industrial applications including in food, cosmetics and cleaning products, medicine, drug, and oil and gas. Bacterial cells produce an admixture of biosurfactant( BS) lipids with the help of which oil is dispersed into veritably fine droplets and therefore the bioavailability of CO is increased. Biosurfactants are surface-active site compounds produced by microorganisms. Biosurfactant generally refers to surfactants of microbial origin. Most of the biosurfactants produced by microbes are synthesized extracellularly and numerous microbes are known to produce biosurfactants in large relative amounts. This study concentrates on the insulation of biosurfactant-producing microorganisms from soil samples.
A scalable and fast artificial neural network syndrome decoder for surface codes
Authors: Gicev Spiro , Hollenberg Lloyd C. L. , Usman Muhammad
Published: July 2023

Surface code error correction offers a highly promising pathway to achieve scalable fault-tolerant quantum computing. When operated as stabilizer codes, surface code computations consist of a syndrome decoding step where measured stabilizer operators are used to determine appropriate corrections for errors in physical qubits. Decoding algorithms have undergone substantial development, with recent work incorporating machine learning (ML) techniques. Despite promising initial results, the ML-based syndrome decoders are still limited to small scale demonstrations with low latency and are incapable of handling surface codes with boundary conditions and various shapes needed for lattice surgery and braiding. Here, we report the development of an artificial neural network (ANN) based scalable and fast syndrome decoder capable of decoding surface codes of arbitrary shape and size with data qubits suffering from the depolarizing error model. Based on rigorous training over 50 million random quantum error instances, our ANN decoder is shown to work with code distances exceeding 1000 (more than 4 million physical qubits), which is the largest ML-based decoder demonstration to-date. The established ANN decoder demonstrates an execution time in principle independent of code distance, implying that its implementation on dedicated hardware could potentially offer surface code decoding times of O(μsec), commensurate with the experimentally realisable qubit coherence times. With the anticipated scale-up of quantum processors within the next decade, their augmentation with a fast and scalable syndrome decoder such as developed in our work is expected to play a decisive role towards experimental implementation of fault-tolerant quantum information processing.
The Legal Position of Masbuk for Jum'at Prayers to the Perspective of the Syafi'i and Hanafi
Authors: Sulfanwandi Sulfanwandi
Published: July 2023

Masbuk is one thing that often happens in congregational prayers. In syara' terms, masbuk is a condition in which a person is left behind in part or all of the cycles of prayer in congregation following the imam. In the implementation of the Friday prayer, the laggards of the second rak'ah with the priest have legal implications that are different from the laggards of the congregation in the second rak'ah in other obligatory prayers. The most contrasting variation in the opinion of the imam of the madhhab in this regard is between the Hanafi and Shafi'i schools which also represent jumhur. The research question in this thesis is what is the opinion of the Hanafi and Syafi'i schools regarding the law of intoxication in Friday prayers, and what are the arguments and legal istinbath used by the Hanafi and Syafi'i schools regarding the law of intoxication in Friday prayers. This research found two things; first, according to the Hanafi School, the law of intoxication during the Friday prayer is obligatory for the masbuk to continue this prayer as the Friday prayer as following the prayer of the priest with two cycles of prayer. Meanwhile, according to the Syafi'i school of thought and the majority of scholars, it is obligatory for a drunken person to perform the midday prayer because he does not get the Friday prayer. Second, the argument used by each school was narrated by Abu Hurairah, but with a different hadith editorial and path. The legal istinbath method used by the Hanafi School is in the form of bayani and ta'lili reasoning. As for the Shafi'i School, it only uses bayani reasoning. From the arguments of the two, this study views that the view of the Shafi'i School has a more appropriate and well-founded argumentation, because missing the bowing in the second cycle of Friday prayers in congregation shows that a person is not only left behind in his cycles, but also left behind in his Friday prayer with the Imam.
KEPUASAN WISATAWAN TERHADAP PAKET WISATA GASTRONOMI DI DESA BAKAS, KLUNGKUNG-BALI
Authors: Febianti Febianti
Published: July 2023

The purpose of this study is to measure tourists' satisfaction with Bakas village's gastronomic tour packages. Observation, interviews, documentation and distribution of questionnaires were used as data collection methods in this study. Descriptive qualitative as well as quantitative data analysis on a Likert scale is used as a data analysis method. In this study, it is known that gastronomic tourism here meets the definition. In addition, tourists are also offered other activities that are not listed in the travel packages sold. Through this study, it is also seen that tourists who buy gastronomic packages from Bakas Village are satisfied with what they get.
Fundamentos para medir niveles de madurez de arquitectura empresarial en el sector gobierno
Authors: Díaz Ayala Santiago Elías , Soto Durán Darío Enrique , Villamizar Jaimes Aixa Eileen
Published: July 2023

Introducción. El Mintic como gran custodio del cumplimiento de la Política de Gobierno Digital (PGD) colombiana, presentó el Marcoarquitectura empresarial (MAE) para el sectorgobierno. El MAE permite que las entidades públicas apliquen un enfoque de arquitectura empresarial para fortalecer las capacidades institucionales requeridas para prestar servicios a los usuarios de cada entidad mediante el uso adecuado de las TIC.  Se debe medir el nivel cumplimiento de la PGD y para ello se requiere que los ejercicios de arquitectura empresarial (AE) ejecutados sean evaluados de manera periódica para valorar la evolución de los niveles de madurez y capacidad asociados a cada dominio. Objetivo.  Desarrollar un modelo metodológico para evaluar el nivel de madurez de los dominios asociados a la arquitectura empresarial bajo el MAE 2.0. Materiales y métodos. Se usan dos perspectivas (cuantitativas y las cualitativas), la cualitativa desde la revisióny la argumentación; la cuantitativa desde la formulación y validación que requiere el modelo. Se ejecutó una ruta de tres etapas: análisis, diseño, validación. Resultados. Se propone un modelo metodológico de cuatro fases (alistamiento, adaptación al método, ejecución y plan de mejora) acompañado de un procedimiento para su implementación. Conclusiones. El modelo propuesto constituye una herramienta para gestionar el uso y aprovechamiento de las TIC, da capacidades al Estado y sus connacionales haciéndolos digitalmente confiables, competitivos, proactivos, e innovadores, de manera tal que generen verdadero valor público.
Planeación de clase para enseñar simetrías: escenario para caracterizar el conocimiento didáctico de una profesora de matemáticas
Authors: Paternina-Borja Oscar Iván , Juárez-Ruiz Estela
Published: July 2023

Introducción. La planeación de clases es un aspecto importante en el ejercicio profesional del docente de matemáticas. En ella se incluyen estándares, actividades, preguntas, etc. que se van a implementar en el aula. Por tal motivo, la planeación se asume como una oportunidad relevante para estudiar el conocimiento del profesor en la intención de enseñar un contenido matemático Objetivo. Caracterizar el conocimiento didáctico del contenido de una profesora de matemáticas al diseñar una planeación de clase para enseñar las simetrías. Materiales y métodos. Esta investigación es de enfoque cualitativo con un diseño de estudio de caso instrumental. La recolección de la información se hizo mediante una planeación de clase y una entrevista semiestructurada a una profesora de matemáticas con posgrado en educación matemática y experienciaen el aula. Resultados. Se caracterizó el conocimiento didáctico de la profesora sobre teorías de aprendizaje de la matemática, estrategias y recursos para enseñar las simetrías y secuenciación de los temas en relación con los posteriores al contenido matemático. Conclusiones. Se valida la pertinencia y relevancia de la planeación de clase como una atmósfera adecuada para caracterizar el conocimiento didáctico del profesor de matemáticas y la importancia de tal conocimiento en la profesión docente.
Calidad fisicoquímica y microbiológica de los ríos asociados a un embalse tropical de montaña en el periodo 2010-2018 (ríos Nare, Nusito y San Lorenzo)
Authors: Benjumea-Hoyos Carlos Augusto , Carmona Ramírez Andrea , Castro Martínez Anlly
Published: July 2023

Introducción. San Lorenzo es uno de los seis embalses que se encuentran en el departamento de Antioquia con propósitos de generación de energía y recibe las aguas de los ríos Nare, Nusito y San Lorenzo como principales tributarios. Objetivo. Determinar la evolución de calidad del agua mediante la evaluación de parámetros fisicoquímicos, microbiológicos y del índice de calidad de agua (ICACOSU) de los tres ríos asociados al embalse San Lorenzo; además de la influencia de los fenómenos ENSO sobre esta en el periodo 2010-2018. Materiales y Métodos. Se realiz óun programa de monitoreo fisicoquímico en los periodos de sequía, lluvia y transición durante ocho años. Mediante análisis estadísticos de componentes principales, análisis de varianza y regresiones múltiples, se establecieron las variables más relevantes y las diferencias significativas entre los ríos estudiados. Adicionalmente se estableció el comportamiento y evolución del ICACOSU durante los ocho años de interés. Resultados. Las variables fisicoquímicas presentaron pocas variaciones durante los ocho años de estudio. De igual manera, se pudo determinar que los ríos evaluados presentaron una calidad de agua apropiada para el sostenimiento de la vida acuática. Adicionalmente, el patrón climático ENSO no tuvo una influencia significativa en el comportamiento de fisicoquímica estudiada. En este sentido, los niveles de oxígeno disuelto fueron altos, los sólidos en solución bajos y baja DQO. Estos resultados evidencian que los ríos Nusito, Nare y San Lorenzo presentan ambientes adecuados para el buen desarrollo ecológico del sistema acuático. Conclusión. El índice de calidad del agua (ICACOSU), clasificó los ambientes acuáticos con calidad buena y excelente para los años de seguimiento.
Liderazgo y cultura organizacional en dos empresas maquiladoras internacionales: un caso comparativo entre México y Corea del Sur
Authors: Moreno Basurto Luz Zareth , Gallegos Arredondo Ambar Eugenia
Published: July 2023

Introducción. El liderazgo tiene una incidencia en la cultura laboral de las empresas, esta es producto de los flujos comunicativos que emergen en su interior. Objetivo. Comparar la relación entre el liderazgo y la cultura organizacional de dos empresas maquiladoras internacionales, una ubicada en México y la otra en Corea del Sur. Materiales y métodos. Se hizo un estudio de caso de tipo cuantitativo a partirde 283 cuestionarios. Las variables de interés fueron: cultura organizacional y liderazgo. Resultados. Existe un vínculo positivo entre el liderazgo y la cultura organizacional de las empresas. En cuanto al contexto de la empresa, influye en gran medida la ubicación geográfica, no solo por el medio ambiente físico que le rodea, sino además por factores culturales, económicos y políticos que inciden en su forma de operación. Conclusión. Entre más cercano es el líder con sus colaboradores, la cultura se fortalecerá y habrá mejor sinergia laboral. A pesar de que prevalecen diferentes liderazgos en las dos empresas estudiadas, en ninguno de los casos se observó un liderazgo de tipo autoritario ni transformador.
Perception on Saber Pro tests results in the bachelor’s degree in basic education students
Authors: Poveda Pineda Derly Francedy , Chacón Benavides José Antonio , Cifuentes Medina José Eriberto
Published: July 2023

Introduction. The study addresses the competencies evaluated, that is, the Generic competencies and the Specific competencies, within the framework of the normativ estructure established by the Colombian Institute for the Evaluation of Education-ICFES, about the examination presented by future professionals in education. Objective. Carry out a study on the perception of the analysis of the results of the Saber Pro tests that students of the bachelor’s degree in Basic Education with emphasis on Mathematics, Humanities, and Spanish Language obtainedin 2019. Methodology. For this purpose, the official information of the results that are published in the ICFES databases is used to determine the level of comparison between the results of the related competencies with the data obtained in the institution and at thenational level. The study is developed undera non-experimental research approach of a descriptive type, where the percentage relationships of systematic comparison are established between the results of the program, the institution, branch, and the national average. Conclusions. Every student takes these standardized tests as a mandatory requirement to obtain their professional diploma, as contemplated by the policies in Colombia. In addition, it is worth mentioning that the individual and institutional efforts made to demonstrate excellent outcomes in a homogeneous test aimed at a heterogeneous population directed by State agencies. They leave out of the radar the different contextual, methodological conditions, and opportunities students have, to access information. Here we talk about future teachers.
Reward positivity biases interval production in a continuous timing task
Authors: Yan Yan , Hunt Laurence , Hassall Cameron
Published: July 2023

The neural circuits of reward processing and interval timing (including
perception and production) are functionally intertwined, suggesting that
it might be possible for momentary reward processing to influence
subsequent timing behavior. Previous animal and human studies have
mainly focused on the effect of reward on interval perception, whereas
its impact on interval production is less clear. In this study, we
examined whether feedback, as an example of performance-contingent
reward, biases interval production. We recorded EEG from 20 participants
while they engaged in a continuous drumming task with different
realistic tempos (1728 trials per participant). Participants received
color-coded feedback after each beat about whether they were correct (on
time) or incorrect (early or late). Regression-based EEG analysis was
used to unmix the rapid occurrence of a feedback response called the
reward positivity (RewP), which is traditionally observed in more
slow-paced tasks. Using linear mixed modelling, we found that RewP
amplitude predicted timing behavior for the upcoming beat. This
performance-biasing effect of the RewP was interpreted as reflecting the
impact of fluctuations in dopaminergic activities on timing, and the
necessity of continuous paradigms to make such observations was
highlighted.
A case report：Ultrasound-guided “one-stop” transcatheter aortic valve replacement + interventional closure of atrial septal defect
Authors: Zhang Meng , Ma Xinyi , Li Yan-Hui
Published: July 2023

Purpose：Transcatheter aortic valve replacement (TAVR) is a
suitable option for elderly patients who are unable to undergo
traditional thoracotomy. In this case, the patient was frail and had
multiple underlying diseases, in addition to suffering from atrial
septal defect and moderate to severe aortic stenosis and regurgitation,
resulting in abnormalities in cardiac function and morphology. To
address these issues, a combination of imaging methods such as
three-dimensional ultrasound was used to guide the patient to undergo a
one-stop transcatheter aortic valve replacement and interventional
closure of atrial septal defect during the operation. This one-stop
surgery required a highly professional team of doctors and advanced
medical equipment.
Methods：Prior to the surgery, a thorough
assessment of the patient’s cardiac function was conducted using
transthoracic echocardiography and transesophageal echocardiography. The
degree of stenosis above and below the valve was also measured. During
the procedure, real-time monitoring of the release of the self-expanding
flap was done using TEE to guide the surgeon in adjusting the surgical
strategy as needed. Postoperatively, transthoracic echocardiography is
utilized to monitor the patient’s prognosis with accuracy.
Results：Ultrasound assessment is a crucial tool in the
perioperative period, serving as an essential screening method for
surgical patients. Furthermore, it is instrumental in quantifying the
degree of aortic valve stenosis, selecting valve size, and determining
the optimal location for the surgical approach. By utilizing
ultrasound-guided one-stop transcatheter aortic valve replacement and
interventional closure of atrial septal defect, we were able to
effectively address the patient’s heart condition and enhance their
overall quality of life.
Conclusion：This surgical technique
involves replacing traditional surgery with a minimally invasive
approach, which eliminates the need for a second open heart surgery and
reduces trauma to the body. Furthermore, it considerably reduces the
operation and postoperative recovery time. By utilizing minimally
invasive techniques, patients can achieve significant surgical results
in a shorter period and with a faster recovery time.
Association between aberrant brain activity and pain in patients with primary osteoporotic pain: a resting-state fMRI study
Authors: Guo Zhijie , Liu Xue , Yang Zhaoxu , Huang Chihuan , Liu Jing , Liu Lanying , Xu Yan , Liu Shaowei , Xu Daoming , Chen Jianhuai
Published: July 2023

Introduction: Primary osteoporotic pain (POPP) seriously affects the
life of patients. Although chronic pain is associated with altered
central nervous activity, the central pathological mechanism of POPP is
still unclear. This study aimed to explore the differences of brain
activity between POPP patients and healthy controls (HCs), as well as
the correlations between altered brain regions and pain. Method:
Magnetic resonance imaging data (MRI) and visual analogue scale (VAS)
scores of subjects were collected. MRI data were preprocessed and then
regional homogeneity (ReHo) and amplitude of low-frequency fluctuation
(ALFF) values of brain regions were calculated. ReHo and ALFF values
were compared between groups. Result: (1) Compared with HCs, reduced
ReHo values were found in the left medial superior frontal gyrus, middle
frontal gyrus, opercular part of inferior frontal gyrus and right
dorsolateral superior frontal gyrus of POPP patients. (2) Reduced ALFF
values were identified in the left dorsolateral superior frontal gyrus,
medial superior frontal gyrus, orbital part of middle frontal gyrus,
opercular part of inferior frontal gyrus and right dorsolateral superior
frontal gyrus. (3) Negative correlations were identified between ReHo
values of the left middle frontal gyrus and VAS scores in the patient
group. Conclusion：The prefrontal dysfunction may be related to the
occurrence of POPP. In addition, the left middle frontal gyrus can be
used as an indicator to evaluate the severity of pain in patients with
POPP. These findings help us to further understand the pathogenesis of
POPP from the perspective of neuroimaging.
The hydroxamic acid derivative YPX-C-05 alleviates hypertension and vascular dysfunction through the PI3K/Akt/eNOS pathway
Authors: Pang Pan-Pan , Sun Hao , Yu Peixia , Yang Weimin , Zheng Yong-Tang , LI Xun , Zheng Chang-Bo
Published: July 2023

Background and Purpose: Hypertension is a chronic medical condition that
increases the risk of cardiovascular diseases. Recently, HDAC inhibitors
were shown to lower blood pressure through endothelium-dependent
mechanisms. However, the antihypertensive potential and precise
mechanisms of most HDAC inhibitors remain unexplored. Experimental
Approach: We first examined YPX-C-05(a novel hydroxamic acid-based HDAC
inhibitor) effects on phenylephrine-induced hypertension in mice. We
also determined the vasodilatory effects of YPX-C-05 ex vivo using
isolated aortic rings precontracted with phenylephrine. We performed
Network pharmacology analysis to predict the putative targets of
YPX-C-05. We then validated the involvement of the PI3K/Akt/eNOS pathway
using pharmacological inhibitors and Western blotting. Levels of
phosphorylated and total Akt and eNOS were measured in Human umbilical
vein endothelial cell lysates after YPX-C-05 treatment. In vivo, we
examined the chronic antihypertensive effects of YPX-C-05 in
N-omega-nitro-L-arginine-induced hypertensive mice. Vascular remodeling
was assessed by histological analysis. Key Results: YPX-C-05 could
attenuate the hypertensive effects of phenylephrine and reduced blood
pressure, increase NO levels, improve endothelium-dependent relaxation
and decrease vascular damage in chronic hypertensive mice. Network
pharmacology analysis predicted YPX-C-05 might activate endothelial eNOS
via PI3K/Akt signaling pathway. Western blotting confirmed that YPX-C-05
increased phosphorylated Akt and eNOS levels and eNOS expression and
activity. Conclusion and Implications: This study demonstrates for the
first time that the novel hydroxamic acid-based HDAC inhibitor YPX-C-05
exerts significant antihypertensive and vasodilatory effects. Our
findings support the developing prospect of YPX-C-05 as a novel
antihypertensive drug. Keywords: Hydroxamic acid derivative YPX-C-05;
vasodilation; hypertension; vascular function; Akt/eNOS/NO pathway.
Physical activity and sedentary behaviour changes during and after cardiac rehabilitation: Can patients be clustered?
Authors: Limpens Marlou M. , Van den Berg Rita J. G , Den Uijl Iris , Sunamura Madoka , Voortman Trudy , Boersma Eric , Ter Hoeve Nienke
Published: July 2023

Objective: To identify clusters of patients according to changes in their physical behaviour during and after cardiac rehabilitation, and to predict cluster membership.Methods: The study included 533 patients (mean age 57.9 years; 18.2% females) with a recent acute coronary syndrome who participated in a 12-week multi-disciplinary cardiac rehabilitation programme, within a cohort study design. Physical behaviour (light physical activity, moderate-to vigorous physical activity, step count, and sedentary behaviour) was measured using accelerometry at 4 timepoints. To identify clusters of patients according to changes in physical behaviour during and after cardiac rehabilitation, latent class trajectory modelling was applied. Baseline factors to predict cluster membership were assessed using multinomial logistic regression.Results: During and after cardiac rehabilitation, 3 separate clusters were identified for all 4 physical behaviour outcomes: patients with steady levels (comprising 68–83% of the patients), and improving (6–21%) or deteriorating (4–23%) levels. Main predictor for membership to a specific cluster was baseline physical behaviour. Patients with higher starting physical behaviour were more likely to be a member of clusters with deteriorating levels.Conclusion: Separate clusters of physical behaviour changes during and after cardiac rehabilitation could be identified. Clusters were mainly distinguished by baseline physical behaviour level.
LAY ABSTRACTPhysical behaviour is a construct including both physical activity and sedentary behaviour. Healthy levels of physical behaviour are important for cardiac patients. Cardiac rehabilitation programs are designed to promote a heart-healthy lifestyle for this group. Nevertheless, not all patients perform sufficient physical activity after cardiac rehabilitation. It is important to identify patients at risk for disappointing physical behaviour outcomes at an early stage to provide additional care. Outcomes of the current study show that cardiac patients can be clustered according to their change in physical behavior during and after cardiac rehabilitation. The majority showed steady levels and no improvements, but we could also identify groups of patients with improving and deteriorating levels. Patients with higher starting physical activity levels or low sedentary behaviour levels were more likely to be a member of clusters with deteriorating levels. These patients could benefit of additional interventions.
Professional Development of Christian Education Teachers Based on Scientific Writing Products to Improve Learning Quality and Career Improvement Assisted Module
Authors: Simanjuntak Junihot M. , Heriyanto  , Marinus Waruwu
Published: July 2023

Research and publication of scientific papers become the main problems in the professional development of teachers. This aims of this research is to develop sustainable professional teacher through research product-based training models and the publication of scientific papers. It analyses the need for a training management model that can increase the professionalism of Christian education subject teachers who are civil servants to produce scientific papers. This research is using qualitative methods with a Research and Development model approach. The data analysis technique used the Mann-Whitney U test technique. Sources of training data are primary data and secondary data. Primary data was obtained from the interview process of all training participants, and secondary data was obtained based on the analysis of the training module directory, training directory and examples of training product administrators. The results showed the validity level of the training module was in a good category (72%), the results of scientific papers using the IHT module are higher than before using the training module; the product of scientific papers produced by the teacher has met the requirements for promotion; the resulting training product in the form of scientific papers is useful for improving school performance and teacher motivation for higher careers.