bluuebunny/crossref_metadata_2025 huggingface dataset:
Sensitivity of Runoff to Climatic Factors and the Attribution of Runoff Variation in the Upper Shule River, North-West China
Authors: Jia Ling , Niu Zuirong , Zhang Rui , Ma Yali
Published: April 2024

Climate change and human activities exert significant impact on the mechanism of runoff generation and confluence. Comprehending the reasons of runoff change is crucial for the sustainable development of water resources. Taking the Upper Shule River as the research area, the M-K test and the moving t test were used to diagnose the runoff mutation time. Furthermore, the slope changing ratio of cumulative quantity method (SCRCQ), climate elasticity method, and Budyko equation were utilized to quantitatively evaluate the impacts and contribution rates of climate change and human activities. The following results were obtained: (1) The Upper Shule River experienced a significant increase in runoff from 1972 to 2021, with 1998 marking the year of abrupt change. (2) The runoff sensitivity showed a downward trend from 1972 to 2021. The main factor affecting the decrease in runoff sensitivity was the characteristic parameters of underlying surface (n), followed by precipitation (P), while the influence of potential evapotranspiration (ET0) was the weakest. (3) The response of runoff changes to runoff sensitivity and influencing factors were 90.32% and 9.68%, respectively. (4) The results of three attribution methods indicated that climate change was the primary factor causing the alteration of runoff in the Upper Shule River. The research results supplement the hydrological change mechanisms of the Upper Shule River and provide a scientific basis for future water resources management and flood control measures.
Monitoring the Landscape Pattern Dynamics and Driving Forces in Dongting Lake Wetland in China Based on Landsat Images
Authors: Guo Mengshen , Zhou Nianqing , Cai Yi , Zhao Wengang , Lu Shuaishuai , Liu Kehao
Published: April 2024

Dongting Lake wetland is a typical lake wetland in the Middle and Lower Yangtze River Plain in China. Due to the influence of natural and human activities, the landscape pattern has changed significantly. This study used 12 Landsat images from 1991 to 2022 and applied three common classification methods (support vector machine, maximum likelihood, and CART decision tree) to extract and classify the landscape information, with the latter having a superior annual accuracy of over 90%. Based on the CART decision tree classification results, the dynamic characteristics of wetland spatial patterns were analyzed through the landscape pattern index, dynamic degree model, and transition matrix model. Redundancy and grey correlation analysis were employed to investigate the driving factors. The results showed increased landscape fragmentation, reduced heterogeneity, and increased complexity from 1991 to 2022. The water and mudflat areas exhibited three distinct stages: gradual decline until 2001 (−3.06 km2/a); sharp decrease until 2014 (−19.44 km2/a); and steady increase (22.93 km2/a). Vegetation conversion, particularly between sedge and reed, dominated the change in landscape pattern. Reed area initially increased (18.88 km2/a), then decreased (−35.89 km2/a), while sedge showed the opposite trend. Woodland area fluctuated, peaking in 2016 and declined by 2022. The construction of the Three Gorges Dam significantly altered landscape dynamics through water level changes, reflected by a 4.03% comprehensive dynamic degree during 2001–2004. Potential evaporation also emerged as a significant natural factor, exhibiting a negative correlation with the landscape index. During 1991–2001 and 2004–2022, the comprehensive explanatory rates of temperature, precipitation, potential evaporation, and water level on landscape pattern dynamics were 88.56% and 52.44%, respectively. Other factors like policies and socio-economic factors played a crucial role in wetland change. These findings offer valuable insights into the dynamic evolution and driving mechanisms of Dongting Lake wetland.
Comparison between Hyperspectral and Multispectral Retrievals of Suspended Sediment Concentration in Rivers
Authors: Jung Sung Hyun , Kwon Siyoon , Seo Il Won , Kim Jun Song
Published: April 2024

Remote sensing (RS) is often employed to estimate suspended sediment concentration (SSC) in rivers, and the availability of hyperspectral imagery enhances the effectiveness of RS-based water quality monitoring due to its high spectral resolution. Yet, the necessity of hyperspectral imagery for SSC estimation in rivers has not been fully validated. This study thus compares the performance of hyperspectral RS with that of multispectral RS by conducting field-scale experiments in shallow rivers. In the field experiments, we measured radiance from a water body mixed with suspended sediments using a drone-mounted hyperspectral sensor, with the sediment and riverbed types considered as controlling factors. We retrieved the SSC from UAV imagery using an optimal band ratio analysis, which successfully estimated SSC distributions in the sand bed conditions with both multispectral and hyperspectral data. In the vegetated bed conditions, meanwhile, the prediction accuracy decreased significantly due to the temporally varying bottom reflectance associated with the random movement of vegetation caused by near-bed turbulence. This is because temporally inhomogeneous bottom reflectance distorts the relationship between the SSC and total reflectance. Nevertheless, the hyperspectral imaging exhibited better prediction accuracy than the multispectral imaging, effectively extracting optimal spectral bands sensitive to back-scattered reflectance from sediments while constraining the bottom reflectance caused by the vegetation-covered bed.
HYPOSO Map Viewer: A Web-Based Atlas of Small-Scale Hydropower for Selected African and Latin American Countries
Authors: Punys Petras , Jurevičius Linas , Balčiūnas Andrius
Published: April 2024

In many countries, the advancement of hydropower resources has been hindered by economic factors and insufficient data on topography, streamflow, environmental sensitivity, power grid, and, most importantly, the location of potential hydropower sites. This challenge is particularly pronounced in certain African and Latin American river systems. Developing web-based maps of hydropower resources based on geographic information systems and advanced mapping technologies can facilitate the initial assessment of hydropower sites. This is especially relevant for developing sites in remote areas and data-scarce regions. The available geospatial datasets, remote sensing technologies, and advanced GIS modelling techniques can be used to identify potential hydropower sites and assess their preliminary characteristics. This paper reviews web-based hydropower atlases in African and Latin American countries. Their main features are represented and compared with the recently launched HYPOSO map viewer covering two African countries (Cameroon and Uganda) and three Latin American countries (Bolivia, Colombia, and Ecuador). This hydropower atlas consists of 20 spatial layers. Its particular focus is to present a geospatial dataset of new hydropower sites with concise information for potential investors. These so-called virtual hydropower atlases can be only one type of discovery at the early project stage, automatically identifying sites worthy of further investigation. A formal validation of the web-based atlases, including the HYPOSO hydropower atlas, is briefly considered. Creating open-access hydropower map viewers is anticipated to significantly enhance the hydropower development database in these nations, offering valuable insights for small and medium-scale projects.
Denitrification Performance and Microbiological Mechanisms Using Polyglycolic Acid as a Carbon Source
Authors: Wang Zhichao , Li Chenxi , Yang Wenhuan , Wei Yuxia , Li Weiping
Published: April 2024

When treating municipal wastewater, nitrogen removal is often limited due to low C/N, which needs to be compensated for by additional carbon source injections. This study investigated the feasibility of using industrial-waste polyglycolic acid (PGA) as a carbon source for denitrification in an SBR to obtain an economical carbon source. The results revealed that an optimal denitrification performance in a methanol-fed activated sludge system was achieved with a PGA dosage of 1.2 mL/L, a pH of 7–8, and a dissolved-oxygen (DO) concentration of 3 ± 0.5 mg/L. Under these conditions, all quality parameters for effluent water met the required criteria [COD < 50 mg/L; TN < 15 mg/L; NH4+-N < 5(8) mg/L]. PGA enhanced the variety and richness of microbial communities, thereby markedly increasing the relative abundance of major phyla such as Proteobacteria and Bacteroidota and major genera such as Paracoccus and Dechloromonas. Furthermore, PGA upregulated the expression of nitrogen-metabolism-related genera, including amo, hao, nar, and nor, which improved the denitrification performance of the system. This study provides a reference for applying PGA as a carbon source for low-C/N-wastewater treatment and solid-waste utilization.
Prediction of Diffuse Attenuation Coefficient Based on Informer: A Case Study of Hangzhou Bay and Beibu Gulf
Authors: Cai Rongyang , Hu Miao , Geng Xiulin , Ibrahim Mohammed K. , Wang Chunhui
Published: April 2024

Marine water quality significantly impacts human livelihoods and production such as fisheries, aquaculture, and tourism. Satellite remote sensing facilitates the predictions of large-area marine water quality without the need for frequent field work and sampling. Prediction of diffuse attenuation coefficient (Kd), which describes the speed at which light decays as it travels through water, obtained from satellite-derived ocean color products can reflect the overall water quality trends. However, current models inadequately explore the complex nonlinear features of Kd, and there are difficulties in achieving accurate long-term predictions and optimal computational efficiency. This study innovatively proposes a model called Remote Sensing-Informer-based Kd Prediction (RSIKP). The proposed RSIKP is characterized by a distinctive Multi-head ProbSparse self-attention mechanism and generative decoding structure. It is designed to comprehensively and accurately capture the long-term variation characteristics of Kd in complex water environments while avoiding error accumulation, which has a significant advantage in multi-dataset experiments due to its high efficiency in long-term prediction. A multi-dataset experiment is conducted at different prediction steps, using 70 datasets corresponding to 70 study areas in Hangzhou Bay and Beibu Gulf. The results show that RSIKP outperforms the five prediction models based on Artificial Neural Networks (ANN, Convolutional Neural Networks (CNN), Gated Recurrent Unit (GRU), Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN), and Long Short-Term Memory Networks (LSTM)). RSIKP captures the complex influences on Kd more effectively to achieve higher prediction accuracy compared to other models. It shows a mean improvement of 20.6%, 31.1%, and 22.9% on Mean Absolute Error (MAE), Mean Square Error (MSE), and Mean Absolute Percentage Error (MAPE). Particularly notable is its outstanding performance in the long time-series predictions of 60 days. This study develops a cost-effective and accurate method of marine water quality prediction, providing an effective prediction tool for marine water quality management.
Characterization of a Contaminated Site Using Hydro-Geophysical Methods: From Large-Scale ERT Surface Investigations to Detailed ERT and GPR Cross-Hole Monitoring
Authors: Pavoni Mirko , Boaga Jacopo , Peruzzo Luca , Barone Ilaria , Mary Benjamin , Cassiani Giorgio
Published: April 2024

This work presents the results of an advanced geophysical characterization of a contaminated site, where a correct understanding of the dynamics in the unsaturated zone is fundamental to evaluate the effective management of the remediation strategies. Large-scale surface electrical resistivity tomography (ERT) was used to perform a preliminary assessment of the structure in a thick unsaturated zone and to detect the presence of a thin layer of clay supporting an overlying thin perched aquifer. Discontinuities in this clay layer have an enormous impact on the infiltration processes of both water and solutes, including contaminants. In the case here presented, the technical strategy is to interrupt the continuity of the clay layer upstream of the investigated site in order to prevent most of the subsurface water flow from reaching the contaminated area. Therefore, a deep trench was dug upstream of the site and, in order to evaluate the effectiveness of this approach in facilitating water infiltration into the underlying aquifer, a forced infiltration experiment was carried out and monitored using ERT and ground-penetrating radar (GPR) measurements in a cross-hole time-lapse configuration. The results of the forced infiltration experiment are presented here, with a particular emphasis on the contribution of hydro-geophysical methods to the general understanding of the subsurface water dynamics at this complex site.
Short-Term Charging Load Prediction of Electric Vehicles with Dynamic Traffic Information Based on a Support Vector Machine
Authors: Zhang Qipei , Lu Jixiang , Kuang Wenteng , Wu Lin , Wang Zhaohui
Published: April 2024

This study proposes a charging demand forecasting model for electric vehicles (EVs) that takes into consideration the characteristics of EVs with transportation and mobile load. The model utilizes traffic information to evaluate the influence of traffic systems on driving and charging behavior, specifically focusing on the characteristics of EVs with transportation and mobile load. Additionally, it evaluates the effect of widespread charging on the distribution network. An urban traffic network model is constructed based on the multi-intersection features, and a traffic network–distribution network interaction model is determined according to the size of the urban road network. Type classification simplifies the charging and discharging characteristics of EVs, enabling efficient aggregation of EVs. The authors have built a singular EV transportation model and an EV charging queue model is established. The EV charging demand is forecasted and then used as an input in the support vector machine (SVM) model. The final projection value for EV charging load is determined by taking into account many influencing elements. Compared to the real load, the proposed method’s feasibility and effectiveness are confirmed.
Análisis del género en la orientación emprendedora de los jóvenes universitarios
Authors: Vargas Perez Ana M , Guevara Otero Niurka , Segovia Pérez Mónica , Laguna Sánchez Pilar
Published: April 2024

Esta investigación examina el papel del género en la orientación emprendedora (OE) de los jóvenes universitarios. El estudio explora las diferencias entre dos grupos (hombres y mujeres) estudiantes de seis áreas de conocimientos de una universidad pública española, en relación con el efecto del género en las dimensiones de la OE: autonomía, innovación, agresividad competitiva y asunción de riesgos. Para ello se llevó a cabo un método de investigación cuantitativo, mediante un estudio descriptivo, inferencial y transversal, a través de un cuestionario autoadministrado. La muestra se obtuvo mediante muestreo aleatorio-accidental, durante tres cursos académicos entre los años 2019, 2020 y 2021. Los resultados mostraron que, existen diferencias significativas entre los hombres y las mujeres en el contexto universitario, en cuanto a las percepciones de las dimensiones autonomía, agresividad competitiva y asunción de riesgos de la OE. Estas diferencias se debieron a que, se encontró que los hombres tomaban más riesgos, se percibían más autónomos y competitivos que las mujeres. Por otro lado, los resultados no confirmaron diferencias significativas entre los dos grupos en la dimensión de innovación, a pesar de que las mujeres se mostraron más innovadoras que los hombres. Los hallazgos de este estudio muestran evidencias de que la OE de los hombres jóvenes es mayor que la de las mujeres jóvenes. En conclusión, se confirma la necesidad de fomentar la autonomía, la competitividad y el comportamiento arriesgado entre el género femenino universitario, así como, la innovación entre el género masculino universitario.
Okul İklimi Ölçeğinin Geliştirilmesi: Geçerlik ve Güvenirlik Çalışması
Authors: İrban Demet , Aydın İnayet
Published: April 2024

Okul iklimi, okulun tüm paydaşlarının etkilediği ve etkilendiği örgütsel bir özelliktir. Türkiye’de okul iklimi üzerine yapılan çalışmalar, okul yöneticilerinin, öğretmenlerin ve öğrencilerin ilişkileri çerçevesinde tanımlanmış ve bu araştırmalarda genellikle okul yöneticilerinin, öğretmenlerin veya öğrencilerin görüşlerine başvurulmuştur. Yurt dışında hazırlanmış okul iklimi ölçeklerinde ise okulun tüm paydaşlarının ilişkilerine yönelik çalışmaların yanı sıra okul iklimini ilişkiler, öğrenme ortamı, güvenlik, çevre olmak üzere dört boyutta ele alan çalışmalar da mevcuttur. Bu çalışmada okul iklimi bu dört temel boyutta incelenerek, ilkokul yöneticileri ve öğretmenlerinin okul iklimine ilişkin algılarını belirlemeye yönelik geçerli ve güvenilir bir ölçme aracı geliştirmek amaçlanmıştır. Bu nedenle öncelikle, okul iklimi ile ilgili alanyazın taranmış ve bu doğrultuda 67 maddelik bir madde havuzu oluşturulmuştur. Hazırlanan maddeler eğitim yönetimi ve ölçme-değerlendirme alanlarında 13 uzmana gönderilmiştir. Uzmanların görüşleri doğrultusunda yeniden düzenlenen 38 maddelik taslak ölçek Bursa, Eskişehir, Bilecik illerindeki altı farklı ilçeden toplam 411 öğretmene uygulanmıştır. Okul İklimi Ölçeği’nin (OİÖ) yapı geçerliğini belirlemek amacıyla iki veri seti üzerinden açımlayıcı faktör analizi ve doğrulayıcı faktör analizi uygulanmıştır. Yapılan analizler sonucu üç faktör ve 32 maddeden oluşan bir Okul İklimi Ölçeği elde edilmiştir. Her bir faktör sırasıyla “okuldaki ilişkiler ve öğrenme ortamı”, “fiziki çevre” ve “güvenlik” olarak adlandırılmıştır. Ölçme aracının güvenirliği için Cronbach’s alfa katsayısı, ölçek maddelerinin ayırt ediciliği için ise madde toplam korelasyonları incelenmiştir. Okul İklimi Ölçeği’nin toplam güvenirlik katsayısı .95 olup, yüksek düzeyde olduğu görülmektedir. Analizler ile açıklanan varyansın %64.24 ve yapının 3 faktörden oluştuğu belirlenmiş, uyum indekslerinin iyi düzeyde olduğu saptanmıştır. Tüm bu bulgulardan yola çıkarak OİÖ’nin okulların ikliminin niteliğini okul yöneticileri ve öğretmenlerin algılarına göre belirlemek için geçerli ve güvenilir bir ölçek olduğu sonucuna ulaşılmıştır.
FeTeMM Öğrencilerinin Kişilik Özellikleri ve Kariyer Gelişim İhtiyaçları
Authors: Eraslan Çapan Bahtiyar , Korkut Owen Fidan
Published: April 2024

Bu çalışmada, Fen, Teknoloji, Matematik ve Mühendislik (FeTeMM) alanlarında eğitim gören üniversite öğrencilerinin kişilik özellikleri ve kariyer gelişim ihtiyaçları arasındaki ilişkilerini ortaya koymak amaçlamıştır. Bu amaçla veriler, 429 öğrenciden Sıfatlara Dayalı Kişilik Ölçeği ile Kariyer Gelişim İhtiyaçları Anketi aracılığı ile toplanmıştır. Analizler için çoklu regresyon ve aşamalı (stepwise) regresyon analizlerinden yararlanılmıştır. Bu grubun en fazla kariyer planlama (KP), en az kendini tanıma (KT) konusunda kariyer gelişim ihtiyacı olduğu görülmektedir. Regresyon analizleri sonuçları FeTeMM öğrencilerinin KT kariyer ihtiyacını dışadönüklük, duygusal denge, sorumluluk ve deneyimlere açıklık kişilik boyutları %24, iş ve eğitim olanaklarını keşife yönelik kariyer gelişim ihtiyacını sorumluluk, duygusal denge ve dışadönüklük kişilik boyutları %18 düzeyinde ve KP kariyer gelişim ihtiyacını ise sorumluluk, duygusal denge, uyumluluk ve dışadönüklük kişilik özelliklerinin %32 düzeyinde yordadığını göstermektedir. Araştırmanın sonunda bulgulara dayanarak bu gruptaki öğrenciler için kariyer psikolojik danışmanlığı adına neler yapılabileceğine ilişkin öneriler sunulmuştur.
aracterísticas fisicoquímicas de las aguas termales de Phutina, Puno, Perú
Authors:   Universidad Nacional Hermilio Valdizan, Av. Universitaria N° 601-607, Pillco Marca 10003, Pérez Argollo Katia , Chui Betancur Heber Nehemia ,   Instituto de Investigación de Ciencias Naturales, Universidad Nacional del Altiplano de Puno, Av. Floral Nº 1153, Puno, Perú.,   Universidad Privada San Carlos, Jr. Conde de Lemos 128, Puno 21001, Condori Castillo Wido Willam ,   Instituto de Investigación de Ciencias Naturales, Universidad Nacional del Altiplano de Puno, Av. Floral Nº 1153, Puno, Perú., Roque Huanca Edgar Octavio ,   Instituto de Investigación de Ciencias Naturales, Universidad Nacional del Altiplano de Puno, Av. Floral Nº 1153, Puno, Perú., Yabar Miranda Percy Samue ,   Instituto de Investigación de Ciencias Naturales, Universidad Nacional del Altiplano de Puno, Av. Floral Nº 1153, Puno, Perú., Jinéz García Esther Lidia ,   Instituto de Investigación de Ciencias Naturales, Universidad Nacional del Altiplano de Puno, Av. Floral Nº 1153, Puno, Perú., Calsina Calsina Benito Pepe ,   Universidad Privada San Carlos, Jr. Conde de Lemos 128, Puno 21001
Published: April 2024

Las aguas termales del suroeste de Perú se encuentran en acuíferos de roca carbonatada con aplicaciones médicas. El propósito de esta investigación fue caracterizar las aguas termales de Phutina, Puno, Perú. Se recolectaron muestras de agua de los pozos geotérmicos de Phutina con iones principales como Na +, Ca 2+, Cl- además de HCO-, CO 32- en el distrito de San Antonio de Putina en Puno, Perú. Se emplearon los diagramas de Piper de los tipos químicos de las muestras de aguas termales de Phutina con Na +, K + (75%) y Cl - (60%), característicos de las aguas termales, que son generalmente salobres. Los valores de conductividad eléctrica (CE) de las aguas termales de Phutina fueron 3160 – 3184 μS/cm respectivamente. Las aguas termales tienen una alta conductividad eléctrica lo que demuestra que ha interactuado con la roca durante mucho tiempo. El marco estratigráfico y estructural de las aguas termales de Phutina está formado por una gruesa secuencia de rocas cretácicas.
Método para la determinación de arsénico en suelos agrícolas mediante espectrometría de absorción atómica con horno de grafito de fuente continua de alta resolución HR-CS-GFAAS
Authors:   Instituto de Investigaciones Químicas IIQ, Universidad Mayor de San Andrés UMSA, Av. Villazón N° 1995, La Paz, Bolivia, 0201-0220, iiq@umsa.bo, Aruquipa Buitre Romel Emil , Guzmán Alegría Leonardo ,   Instituto de Investigaciones Químicas IIQ, Universidad Mayor de San Andrés UMSA, Av. Villazón N° 1995, La Paz, Bolivia, 0201-0220, iiq@umsa.bo, Ramos Ramos Oswaldo Eduardo ,   Instituto de Investigaciones Químicas IIQ, Universidad Mayor de San Andrés UMSA, Av. Villazón N° 1995, La Paz, Bolivia, 0201-0220, iiq@umsa.bo
Published: April 2024

Se optimizaron las condiciones para la determinación de arsénico pseudo-total en muestras de suelos agrícolas mediante espectrometría de absorción atómica con horno de grafito de fuente continua de alta resolución HR-CS-GFAAS, previa digestión en agua regia en horno de microondas. Se configuró la longitud de onda de 193.696 nm que corresponde a la línea de As y se realizó un diseño experimental para optimizar la sensibilidad instrumental de análisis de As entre las variables: temperatura de pirolisis, temperatura de atomización y el volumen de muestra y modificador. La metodología desarrollada mostró que las condiciones óptimas fueron 1300°C de temperatura de pirólisis y 2250°C de atomización; en una relación de volumen de 5:1 μL de muestra y modificador, respectivamente. Para categorizar el método optimizado como validado, se verificó la linealidad, exactitud y precisión. El Límite de Detección (LD) y el Límite de cuantificación (LC) tienen como valor 4.45 μg/L y 14.06 μg/L, respectivamente.
Quantification of saponins by GC/MS in quinoa genotypes, Chenopodium quinoa Willd, from the southern highlands of Bolivia
Authors:   Instituto de Investigaciones Químicas IIQ, Universidad Mayor de San Andrés UMSA, Av. Villazón Nro. 1995, La Paz, Bolivia, 0201-0220, iiq@umsa.bo, Triguero Carolina , Almanza Giovanna R. ,   Instituto de Investigaciones Químicas IIQ, Universidad Mayor de San Andrés UMSA, Av. Villazón Nro. 1995, La Paz, Bolivia, 0201-0220, iiq@umsa.bo, Tarqui Santiago ,   Instituto de Investigaciones Químicas IIQ, Universidad Mayor de San Andrés UMSA, Av. Villazón Nro. 1995, La Paz, Bolivia, 0201-0220, iiq@umsa.bo, Lozano Maribel ,   Instituto de Investigaciones Químicas IIQ, Universidad Mayor de San Andrés UMSA, Av. Villazón Nro. 1995, La Paz, Bolivia, 0201-0220, iiq@umsa.bo
Published: April 2024

Se realizó la cuantificación del contenido de saponinas en granos de siete genotipos de Quinua Real del Altiplano Sur de Bolivia: Quinua Real Blanca (QRB), Quinua Real Amarilla (QRA), Quinua Real Pandela (QRP), Quinua Real Toledo (QRT), Quinua Real Luki (QRL), Quinua Real Negra (QRN) y Quinua Real Rojo Pasankalla (QRRP), mediante la implementación de un método por Cromatografía de gases acoplada a espectrometría de masas (GC/MS). Ácido oleanólico, ácido serjánico, hederagenina y ácido fitolacagénico, de residuos de escarificado de quinua, fueron aislados y empleados como estándares. Se obtuvo extractos de sapogeninas de los 7 genotipos de Quinua Real, que fueron sililados a los trimetilsilil derivados y cuantificados por GC/MS. En todos los casos los valores de saponinas determinados resultaron altos, entre 0,8 y 1,4 %, confirmando que todas quinuas analizadas son quinuas amargas que deben ser sometidas a un proceso de beneficiado.
Mining Bovine Milk Proteins for DPP-4 Inhibitory Peptides Using Machine Learning and Virtual Proteolysis
Authors: Zhang Yiyun , Zhu Yiqing , Bao Xin , Dai Zijian , Shen Qun , Wang Liyang , Xue Yong
Published: April 2024

Dipeptidyl peptidase-IV (DPP-4) enzyme inhibitors are a promising category of diabetes medications. Bioactive peptides, particularly those derived from bovine milk proteins, play crucial roles in inhibiting the DPP-4 enzyme. This study describes a comprehensive strategy for DPP-4 inhibitory peptide discovery and validation that combines machine learning and virtual proteolysis techniques. Five machine learning models, including GBDT, XGBoost, LightGBM, CatBoost, and RF, were trained. Notably, LightGBM demonstrated superior performance with an AUC value of 0.92 ± 0.01. Subsequently, LightGBM was employed to forecast the DPP-4 inhibitory potential of peptides generated through virtual proteolysis of milk proteins. Through a series of in silico screening process and in vitro experiments, GPVRGPF and HPHPHL were found to exhibit good DPP-4 inhibitory activity. Molecular docking and molecular dynamics simulations further confirmed the inhibitory mechanisms of these peptides. Through retracing the virtual proteolysis steps, it was found that GPVRGPF can be obtained from β-casein through enzymatic hydrolysis by chymotrypsin, while HPHPHL can be obtained from κ-casein through enzymatic hydrolysis by stem bromelain or papain. In summary, the integration of machine learning and virtual proteolysis techniques can aid in the preliminary determination of key hydrolysis parameters and facilitate the efficient screening of bioactive peptides.
Analisis Pengungkapan Climate Change pada Airlines Industry: Studi Kasus pada Japan Airlines, Singapore Airlines, dan Garuda Indonesia
Authors: Komala Hendrikkus Wijaya , Meiden Carmel
Published: April 2024

The climate change that is currently occurring is of concern to many parties, including society, who generally feel the impact of climate change. One of the causes of climate change is the business activities carried out by companies. Currently, companies are starting to become aware of their responsibilities towards the surrounding environment by disclosing carbon emissions in their sustainability reports. The design in this research uses descriptive quantitative. In analyzing, this research uses content analysis and comparative methods. Content analysis refers to a method in scientific research that aims to understand the characteristics of the content of a communication material. This content analysis approach is carried out in a structured manner to identify communication content with consistent accuracy. One of the characteristics of the content analysis process is describing certain findings in detail. This research was conducted by providing a score for carbon emission disclosures in sustainability reports which also provides the relevance of the disclosure. Of the 3 issuers studied during the 2020 - 2022 period, it was found that the disclosures made by Japan Airlines were the highest, followed by Singapore Airlines and Garuda Indonesia. Although getting the highest score in disclosure does not mean that the company has a good track record, there are still several factors that underlie the disclosure, such as history, culture, environment, geography, the condition of the company itself. This has quite an influence on companies in disclosing their carbon emissions.
Place of Humans in Creation: A Re-Reading of Psalm 8
Authors: Setiawan Charles Virgenius
Published: April 2024

The natural damage and global warming witnessed in the past two decades were forecasted over 50 years ago by the scholar Lynn White, who asserted that these environmental challenges stem from a misinterpretation of human dignity in the Holy Scripture. This paper commences with an exploration of White’s allegations, subsequently endeavoring to discern the authentic essence of human dignity from Psalm 8 and its positioning within the context of creation. The findings of this study underscore that a misapprehension of human dignity’s essence can indeed lead to errors in the stewardship of nature. Conversely, when human dignity is accurately understood, the positive outcome entails the vigilant and responsible care of the natural environment.
“In Fear and Night” - The Faithful Disciple in The Burial of Jesus: Narrative Reading on John 19:38-42
Authors: S.S.L. Paulus Halek Bere
Published: April 2024

The burial of Jesus is an important aspect for Christian community to understand the meaning of salvation story. In his narrative on the burial of Jesus, John figure out three characters (Joseph of Arimathea, Pilate and Nicodemus) at the last moment of Jesus in specific way. Pilate who was fear of Jews still has authority, as the reference for Joseph of Arimathea to ask for permission in order to take the body of Jesus. In this exegetical study and narrative reading on John 19,38-42, I use the character study to approach the text as one-unit narrative. I will find out how a narrator uses setting, plot, rhetoric, and character to persuade the reader to adopt his evaluative point of view. I will argue that the burial of Jesus was the moment for them to declare themselves publicly as the true disciple of Jesus and risk their identity as Jews. By touching the death body, they made themselves impure for Jews feast, but they draw themselves near to the one who come to bring the eternal life.
Arestiar hiztegi tipia. Bigarren entregarako sarrera-gisa
Authors: Aresti Gabriel
Published: April 2024

Gabriel Arestik bere Arestiar Hiztegi Tipia-ren bigarren liburukiari hitzaurreko egina zion idazlan argitaragabea. Euskara idatziaren batasunerako lehen urratsetan bere lana ez zela behar bezala aipatzen, salatzen du besteak-beste. Asmo berrien anean Classicoen Dictionario Syntheticoa egitea proposatzen du lankideen izen zerrenda eta euron ikergaiak aipatuz.
Euskararen muga 1980. urtean
Authors: Artola Koldo , Tellabide Josu
Published: April 2024

Euskarak 1980.urtean zituen mugak aztertzen dituen txostentxo honetan, aurreko beste lan batzuretan egin izan den madura, ohizko mugak esan genitzakeenak kontutan hartzen ditu. Ez hala eremu horretaz landara dagozkeen beste tokiak, adibidez, Ibaizabal ezker aldeko Bilbo aldea, edo Amurrio, Gasteiz, Agurain, Araia, Lizarra, lruñea, Tafalla, Agoitz, Baiona, Olorue-Donamaria, Pabe, eta abar, euskara mintzo duten pertsonen koruru zinez garrantzitsua aurki hait daiteke.
De toponimia del valle del Ebro navarro
Authors: Velaza Javier
Published: April 2024

El presente estudio se propone revisar los límites tradicionales de la toponimia vasca, atendiendo al material documentado por la toponimia menor de las Bardenas Reales y de la zona del Valle del Ebro navarro. Tras un resumen sumario del estudio de la cuestión, se presenta un elenco de topónimos cuyo estudio lingüístico y etimológico permite postular una clara procedencia vasca. A raíz de ello se plantean una serie de problemas inmediatos de carácter léxico e histórico, con una reflexión general sobre la aportación de estos datos a la Historia Antigua de la zona, escasa en testimonios epigráficos. Finalmente se reconsidera la cuestión de los límites toponímicos vascos establecidos por la bibliografía tradicional.
Búsqueda de nuevos fármacos antihelmínticos basada en el análisis estructura-función de proteínas que unen ácidos grasos (FABPs) de cestodos mediante técnicas bioinformáticas y quimioinformáticas
Authors:   , Rodríguez Santiago
Published: April 2024

La equinococosis y la cisticercosis se encuentran dentro de las Enfermedades Tropicales Desatendidas (ETDs) definidas por la Organización Mundial de la Salud (OMS), afectando a poblaciones pertenecientes a áreas tropicales y subtropicales. Echinococcus granulosus y Echinococcus multilocularis son los agentes etiológicos de la equinococosis quística y alveolar, respectivamente, mientras que Taenia solium es el parásito causante de la cisticercosis. En general, los parásitos cestodos presentan un metabolismo lipídico deficiente debido a la carencia de varias enzimas asociadas a la biosíntesis. Esta situación hace que deban incorporar a los lípidos desde el hospedador. En este sentido, las FABPs (del inglés Fatty Acid Binding Proteins) han sido postuladas como esenciales para el ciclo de vida de los cestodes, por su relevancia en el tráfico e incorporación de lípidos. En la presente tesis doctoral se han desarrollado modelos computacionales para descubrir inhibidores que pudieran afectar la incorporación de lípidos en los parásitos E. granulosus, E. multilocularis y T. solium, a partir de bases de datos de compuestos químicos. Para tales propósitos, se ha hecho uso de la estrategia de cribado virtual en paralelo (CVP), utilizando modelos basados en descriptores moleculares obtenidos a través de métodos indirectos (basado en ligandos), como así también modelos de docking molecular utilizando las estructuras tridimensionales de las distintas isoformas de las FABPs de dichos parásitos, la gran mayoría de ellas obtenidas mediante modelado por aprendizaje automático y dinámica molecular (DM). Esta tesis doctoral permitió la identificación de cuatro compuestos candidatos para el tratamiento de las diferentes variantes de la equinococosis, como así también para la cisticercosis, en donde se evidenció interacción entre las moléculas propuestas y las FABPs de cestodes de manera experimental. Por otra parte, las estrategias de cribado in silico tuvieron gran importancia para encontrar nuevas terapéuticas contra las ETDs, en donde la inversión de tiempo y dinero para la identificación de un compuesto de unión a nuestro blanco molecular fue poca en comparación al desarrollo de un fármaco nuevo, un aspecto clave en este tipo de enfermedades, en donde la inversión privada ha sido históricamente muy baja.
The Neglected 15%: Positive Effects of Hybrid Human-AI Tutoring Among Students with Disabilities
Authors: Thomas Danielle R , Gatz Erin , Gupta Shivang , Aleven Vincent , Koedinger Kenneth R.
Published: April 2024

Incorporating human tutoring with AI holds promise for supporting diverse math learners. In the U.S., approximately 15% of students receive special education services, with limited previous research within AIED on the impact of AI-assisted learning among students with disabilities. Previous work combining human tutors and AI suggests that students with lower prior knowledge, such as lacking basic skills, exhibit greater learning gains compared to their more knowledgeable peers. Building upon this finding, we hypothesize that hybrid human-AI tutoring will have positive effects among students in inclusive settings, classrooms containing both students with and without identified disabilities. To investigate this hypothesis, we conduct a two-study quasi-experiment across two urban, low-income middle schools: one in Pennsylvania with 362 students and another in California comprised of 733 students, involving 27% and 16% of students with disabilities, respectively. Our findings indicate hybrid human-AI tutoring has positive effects on learning processes and outcomes among all students, including students with disabilities. The motivational benefits of the human tutoring treatment over a control group using solely math software show up in greater increases in practice and skill proficiency during math software use for students with disabilities than other students. In addition, the treatment yields significantly higher pre-to-post learning gains for all including students with disabilities whose relative gains trend higher and are statistically at least as high. These compelling findings support the promise of hybrid human-AI solutions and emphasize the collaborative focus among AIED to support diverse learners.
MORPHOFUNCTIONAL CHANGES IN LYMPH NODES DURING INTRALYMPHATIC IMMUNOSTIMULATION WITH VARIOUS DRUGS IN A RAT MODEL
Authors: Parshin Dmitry , Mikhaylichenko Vyacheslav , Bondarenko Nadezhda , Gorbunov Alexey , Voronkov Denis , Bezrukov Oleg , Trofimov Peter
Published: April 2024

Using an experimental rat model, we analyzed the morphofunctional state of mesenteric lymph nodes after intralymphatic administration of various immunostimulants. Material and Methods: The effect of four drugs was studied on 100 male rats: acid peptidoglycan, azoximer bromide, hexapeptide (arginyl-alpha-aspartyl-lysyl-valyl-tyrosyl-arginine) and aminodihydrophthalazinedione sodium. We studied morphometrically the average size of lymph nodes, the size of germinal centers, the density of lymph nodes, and calculated the mitotic activity index and migratory activity index. Results: All experimental groups showed changes characterized by morphological restructuring of the lymph nodes, which was accompanied by an increase in their reactivity and provided an immunostimulating effect. In a dynamic study of the condition of the lymph nodes during the intralymphatic administration of various immunomodulators, it turned out that changes occur at different times. With the introduction of APG, the greatest structural changes occurred on the day 3 of the experiment. In the case of intralymphatic administration of AB, peak changes occurred on days 7-14 from the start of administration. In the third and fourth groups, using HP and ADPS, structural restructuring of the lymph nodes occurred on days 14-30. Conclusion: When extrapolating the data obtained to the clinical plane, we can conclude that intralymphatic administration of APG can be recommended in the acute period of the disease, intralymphatic administration of AB - in the case of subacute course of the disease, whereas the use of HP and ADPS will be effective during the period of convalescence.
Hijaiyah Letter Learning Media Application for Early Age Muslim Children Based on Android
Authors: Nugraha Pandu Surya , Mardiani Fika Putri
Published: April 2024

Introducing hijaiyah letters to children needs to be increased in terms of intensity and media. To increase the intensity and efficiency of delivery, supporting media is needed that is packaged in an attractive, relaxed, and interactive manner. Early childhood education is essential because at that stage the teaching system will influence children's behavior and thinking patterns. One of the necessary early childhood education is learning to spell. Spelling is pronouncing or saying letters one by one. This word spelling education can be supported with game-based learning media. Based on the results of the author's interviews with Early Childhood Education teachers at Raudlatul Jannah, information was obtained that the process of learning to recite the Koran, especially introducing hijaiyah letters, had not yet achieved optimal results, therefore the author aimed to design and build an Android-based hijaiyah letter learning media application to improve students' understanding. hijaiyah letters and as a fun learning support media. The results of this research are that a hijaiyah letter learning media application has been successfully developed and declared suitable as an auxiliary media for learning for early childhood at the Raudlatul Jannah school.
ANALISIS PENGENDALIAN PERSEDIAAN BERAS MENGGUNAKAN METODE SILVER-MEAL PADA PERUM BULOG KOTA SAMARINDA
Authors: Mubarog Resky , Wahyuda Wahyuda , Suh Utomo Dutho
Published: April 2024

Salah satu cabang dari Perum Bulog ini berlokasi di Kota Samarinda. Perum BULOG Kota Samarinda memiliki permasalahan pada sistem pengendalian persediaan yaitu minimnya stok beras pada gudang. Membutuhkan metode pengendalian persediaan yang tepat untuk mengatasi ketersediaan beras sehingga meminimalisir terjadinya kekurangan beras saat dibutuhkan dan juga pada proses pemesanan. Setelah melihat plot data historis yang cenderung membentuk pola stationer, serta melakukan uji variabilitas dengan hasil lebih besar dari 0,25,sehingga data bersifat dinamis. Metode yang digunakan pada penelitian ini yaitu dengan perhitungan Peramalan (Forecasting), peramalan permintaan yang terpilih adalah moving Average pada rata rata bergerak pada 9 bulanan yang karena memiliki nilai error terkecil, yaitu MAD sebesar 26703,61, MSE sebesar 1698270204,17, dan MAPE sebesar 21,01%, didapat hasil peramalan untuk 12 periode kedepan diperkirakan sebesar 1.298.360 kg atau 25.968 sak. Pada pengendalian persediaannya menggunakan metode silver-meal  menghasilkan frekuansi pemesanan sebanyak 24 kali dengan total penghematan sebesar 28,691% dan selisih Rp986.865,33 dari perusahaan.
Factors and Challenges in Using Gamification In Teaching ESP
Authors: Nusi Ahmad , Dewirahmadanirwati Dewirahmadanirwati , Novia Novia , Ardi Havid
Published: April 2024

The purpose of this study is to detect the key issues and challenges faced by English lecturers in implementing gamification in teaching English for Specific Purposes (ESP). This study was a qualitative study with case study design. A number of 16 lecturers were participants of this study. The data was collected through structured interviews, and then analyzed the interview responses using content analysis. The result of the study shown that there were factors or issues such as the occurrence of problems like irregularities, objections, and challenges during the game, the creation of a negative competitive environment, the extension of the time allotted for the game, and the creation of a noisy environment were found to be challenges to the use of gamification in the classroom. In addition, technical difficulties and problems with digital games, lack of technology and internet, technology, screen, and game addiction, and health or psychological issues are some of the main reasons why lecturers do not use gamification in their ESP teaching.
Interpolation of Synthesizer Presets using Timbre-Regularized Auto-Encoders
Authors: Vaillant Gwendal Le , Dutoit Thierry
Published: April 2024

Sound synthesizers are ubiquitous in modern music production but
manipulating their presets, i.e. the sets of synthesis parameters,
demands expert skills. This study presents a novel variational
auto-encoder model tailored for black-box synthesizer preset
interpolation, which enables the intuitive generation of new sounds from
pre-existing ones. Leveraging multi-head self-attention networks, the
model efficiently learns latent representations of presets, aligning
these with perceived timbre dimensions through attribute-based
regularization. It is able to smoothly transition between diverse
presets, surpassing traditional linear parametric interpolation methods.
Furthermore, we introduce an objective and reproducible evaluation
method, based on smoothness and linearity metrics computed on a broad
set of audio features. The model’s efficacy is demonstrated through
subjective experiments, whose results also highlight significant
correlations with the proposed objective metrics. The model is validated
using a widespread frequency modulation synthesizer with a large set of
interdependent parameters. It can be adapted to various commercial
synthesizers, and can perform other tasks such as modulations and
extrapolations.
A Novel Algorithm for Transforming S-Parameters to Reduced-Order Passivity-Enforced Equivalent Circuit (SROPEE)
Authors: Choupanzadeh Rasul , Zadehgol Ata
Published: April 2024

This paper presents SRPOEE which is a novel algorithm and automated
Python-based open-source software (OSS) designed to synthesize the
reduced-order passivity-enforced equivalent circuits of networks
represented by scattering parameters (S-parameters). The proposed
algorithm comprises three main modules Full Synthesis, Passive MOR, and
Reduced Synthesis, each incorporating a combination of established and
novel techniques. The Full synthesis module calculates a full-order
passive fitted system in state-space form, via fitting the given
S-parameters using the vector fitting (VF) method, and assesses/enforces
passivity through the singularity half-size test matrix method.
Subsequently, it synthesizes a full-order equivalent circuit, comprised
of R/L/C circuit elements, based on the calculated full-order fitted
system. The Passive MOR module represents the synthesized full-order
equivalent circuits using modified nodal analysis (MNA) matrices, and
subsequently reduces the order of these matrices through a model order
reduction (MOR) technique known as the Block SAPOR technique. Finally,
the Reduced Synthesis module constructs a reduced-order equivalent
circuit composed of R/L/C circuit elements based on the reduced-order
MNA matrices generated in the previous module. In addition to
synthesizing the reduced- and full-order equivalent circuits, SROPEE
also generates SPICE-compatible netlists for both the full- and
reduced-order equivalent circuits, enabling further circuit analysis in
SPICE circuit solvers. We evaluate SROPEE by comparing the network
parameters of the synthesized reduced-order equivalent circuit with the
original network parameters for a 4-port optical network operating in
frequency range of 175 - 215 THz. Furthermore, we compare the
computational costs of circuit analysis for synthesized full-and
reduced-order equivalent circuits in terms of network order, matrix
dimensions, compute-time, accuracy, memory utilization, and passivity
considerations. The Python-based OSS may be deployed as a stand-alone
tool, or integrated into existing process technology flows and CAD tools
to expedite design automation.