bluuebunny/crossref_metadata_2025 huggingface dataset:
Implicaciones didácticas del análisis de la movilidad en centros de Educación Infantil y Primaria en futuros docentes
Authors: Alfonso Torreño Alberto , Corrales Serrano Mario , Alberdi Nieves Virginia , Merchán García María José
Published: January 2025

En los últimos años, la temática de la sostenibilidad está siendo incorporada como contenido transversal en el área de Ciencias Sociales. Una de sus aplicaciones es el análisis de la ciudad como espacio sostenible. En la actualidad, el modelo de movilidad urbana tiende al uso del transporte motorizado como modo de desplazamiento diario por motivos de trabajo o estudio. El objetivo es analizar el uso didáctico de la observación de estos fenómenos de movilidad urbana como recurso educativo con futuros y futuras docentes del grado de Educación Primaria. Se ha diseñado y analizado una intervención didáctica aplicada sobre una muestra de 3288 escolares, consistente en que 61 universitarios realicen una actividad de observación y recogida de información por grupo sobre la movilidad urbana en seis centros escolares. El análisis realizado sobre los datos de movilidad y de aprendizaje de tipo estadístico, muestra que el 75% del alumnado accede a sus respectivos colegios caminando. Los resultados de aprendizaje permitieron valorar satisfactoriamente la intervención didáctica, ya que el alumnado obtuvo una calificación media de 8.8 en la exposición de conocimientos teóricos y prácticos relacionados con la movilidad sostenible.
¿Qué geografía de España conocen los alumnos de Educación Secundaria Obligatoria?
Authors: Gómez Gonçalves Alejandro , Font David , Sastre Canals Bartomeu , Binimelis Sebastián Jaume
Published: January 2025

Este artículo presenta un análisis de los conocimientos sobre la geografía de España que poseen un grupo de estudiantes del tercer curso de Educación Secundaria Obligatoria (ESO) de las Islas Baleares. Para la obtención de la información se ha empleado un instrumento validado que incluía un cuestionario sobre contenidos de carácter geográfico y un test de localización en un mapa mudo. Los resultados indica que los encuestados tienen porcentajes promedio de acierto moderadamente bajos en el cuestionario sobre contenidos y porcentajes promedio muy reducidos en el test de localización. Estos datos concuerdan con otras investigaciones sobre esta misma temática y sugieren una reflexión sobre el papel de la geografía en los planes de estudio y sobre la manera de enseñar geografía durante la educación obligatoria.
Análise espacial do carreamento de sedimentos por área de contribuição de afluentes sem cobertura vegetal na bacia hidrografica do Rio Una
Authors: Abreu Sales Jomil Costa , Tondato Arantes Leticia , Moreira Nery Liliane , ereira dos Santos Arthur , Collins da Cunha e Silva Darllan , Wagner Lourenço Roberto
Published: January 2025

The erosion and sedimentation processes of a watershed can cause a range of environmental and economic impacts, especially when they affect water resources, with these factors largely depending on soil characteristics and anthropogenic land-use management. In this study, geoprocessing techniques were applied, including satellite image analysis, digital elevation models, and Geographic Information Systems (GIS), to identify priority areas for vegetation restoration along riverbanks. The methodology considered soil characterization based on soil loss due to water erosion and the contributing area of each tributary, analyzing the impact of agricultural activities and the absence of vegetation cover in these areas. The study was conducted in the Una River Basin (URB), located in the Southeast region of Brazil, identifying 19 contributing areas by tributary with the highest soil loss, ranging from 10 to 50 t/(ha·year). The most impacted area showed an annual loss of approximately 7.3 tons of soil being carried into the watercourse. The methodology used, by integrating spatial analysis and physical soil characteristics, proved to be an important tool for environmental and territorial management, particularly for prioritizing vegetation restoration areas, directly reflecting on the sustainability of water resources.
Effectiveness of Kersen Leaf Extract Cream (Muntingia calabura L.) on The 3rd Day of Incision Healing Process on The Skin of Streptozotocin Induced White Rats (Rattus norvegicus)
Authors: Salim M. Nur , Azhar Nurul Sakinah , Masyitha Dian , Vanda Henni , Rosmaidar Rosmaidar , Zainuddin Zainuddin
Published: January 2025

A wound is a break in the continuity of tissue, which physiologically undergoes several phases of healing: hemostasis, inflammation, proliferation, and maturation. The wound healing phase can be prolonged if one experiences metabolic disorders such as diabetes mellitus (DM). Treatment is necessary to prevent the prolongation of the wound healing phase in DM patients, one of which involves using traditional medicine, specifically cherry plants. This study aimed to determine the effectiveness of cherry leaf extract cream in the healing process of incision wounds on day 3 on the skin of white rats induced by streptozotocin. The samples used were 12 white rats, aged approximately 3 months, with a body weight of 179.25 ± 12.64 g. The rats were injected intraperitoneally with streptozotocin at a dose of 45 mg/kg BW. After 72 hours, an incision was made in the paravertebral section with a length of 2 cm and a depth reaching the subcutaneous layer. Therapy was administered for 3 days in several groups. Group KI served as the negative control (cream base), KII as the positive control (metformin 4.5 mg/kg BW and silver sulfadiazine 0.1% cream), KIII (2 ml cherry leaf extract and topical therapy with 5% cherry leaf extract cream), and KIV (2 ml cherry leaf extract and 15% cherry leaf extract cream). The results of the average number of inflammatory cells in KI, KII, KIII, and KIV were 117.40±3.17; 87.87±8.97; 104.40±5.97; and 91.40±5.39, respectively, with P0.05. The average number of new blood vessels in KI, KII, KIII, and KIV were 1.07±0.64; 4.87±0.64; 5.80±0.80; and 6.00±1.31, respectively, with P0.05. The conclusion of this study is that the administration of cherry leaf extract and 15% cherry leaf extract cream can reduce inflammatory cell infiltration and accelerate the growth of new blood vessels
Discovery from in-depth molecular analyses of giant viruses: Haptophyte-infecting viruses change the genome condensing proteins of dinoflagellates
Authors: Sandaa Ruth-Anne , Wang Haina , Meng Lingjie , Otaegi-Ugartemendia Sara , Condezo Gabriela , Blanc-Mathieu Romain , Stokke Runar , Langvad Marius , Brandt David , Kalinowski Jörn , Dahle Håkon , Martín Carmen San , Ogata Hiroyuki
Published: January 2025

Giant viruses are extraordinary members of the virosphere due to their structural complexity and high diversity in gene content. Haptophytes are ecologically important primary producers in the ocean, and all known viruses that infect haptophytes are giant viruses. Our in-depth electron microscopic, phylogenomic and virion proteomic analyses of two haptophyte-infecting giant viruses, Haptolina ericina virus RF02 (HeV RF02) and Prymnesium kappa virus RF02 (PkV RF02), unravel their large capacity for host manipulation and arsenals that functions during the infection cycle from virus entry to release. The virus infection induces significant morphological changes of host cell that are manipulated to build a virus proliferation factory. Both viruses’ genomes encode a putative nucleoprotein (dinoflagellate/viral nucleoprotein; DVNP), which was also found in the virion proteome of PkV RF02. Phylogenetic analysis suggests that DVNPs are widespread in marine giant metaviromes. Furthermore, the analysis shows that the dinoflagellate homologues were possibly acquired from viruses of the order Imitervirales.
An intervention for Fear of Progression in Childhood Cancer Patients and their Parents: Results of a Pilot Randomized Trial
Authors: Herrmann Jessy , Kern Laura , Santel Anja , Kulisch Leonard Konstantin , Hoffmann Rahel , Engelhardt-Lohrke Christa , Herzog Kristina , Chen-Santel Christiane , Christiansen Holger , Schepper Florian
Published: January 2025

Background: Fear of progression (FoP) is a significant psychosocial burden for children with cancer and their parents, influencing their quality of life (HRQoL) and emotional adjustment. There is a lack of helpful therapeutic interventions in pediatric oncology. We have developed the family-based intervention “Kinder-Progredienzangst” (KIPA, engl.: children FoP) and investigated its feasibility and efficacy.
Methods: In this pilot randomized controlled trial (RCT) 29 families with a child diagnosed with cancer and undergoing acute treatment or follow-up care participated. Eligibility criteria included moderate or high FoP in at least one family member. Families were randomized to either an intervention group or a waitlist-control group receiving treatment as usual. KIPAconsists of psychoeducation, anxiety confrontation, and resource activation. Participants completed questionnaires for FoP, anxiety, depression, HRQoL, and posttraumatic stress symptoms (PTSS) at different time points. The aim of the study was to assess participation and retention rates as well as the efficacy of KIPA. We used Mann-Whitney U tests for between-group comparisons, Friedman and Wilcoxon tests for within-group comparisons and Hedges g for effect sizes.
Results: Feasibility results showed a participation rate of 23%, with higher participation in acute treatment (51%) compared to follow-up care (15%). Retention rates were 71% overall, with significant variability between settings. Efficacy analyses revealed significant differences in parental FoP between study conditions with high effect size (W=65.5, p=.023, g=-0.855). Improvements were also noted in PTSS (W=33, p<.001, g=-1.365), anxiety (W=59, p=.017, g=-0.906) and mental (W=217, p<.001, g=1.619) and physical (W=180, p=.042, g=0.834) HRQoL. The pre-post analysis showed a significant reduction in parental FoP in both settings, and the follow-up data indicate sustainability. Effects on children’s FoP were less pronounced, with trends suggesting indirect benefits from reduced parental distress.
Conclusion: KIPA demonstrates feasibility and promising efficacy in reducing FoP among parents of pediatric oncology patients. The findings highlight the challenges of enrollment, particularly in children, and the importance of considering family dynamics. Future research should focus on optimising recruitment strategies and evaluating effects in larger multicenter trials.
The trial was retrospectively registered at the German Trail Registry (TRN: DRKS00024106, 04.05.2022).
Ultra-Wide-Field Imaging Mueller Matrix Spectroscopic Ellipsometry for Semiconductor Metrology
Authors: Jo Taeyong , OH Juntaek , Son Jaehyeon , Yoon Chnaghyeong , Hwang Eunsoo , Ahn Jinwoo , Lee Jaewon , Lee Jinsoo , Shin Jiyong , Lee Donggun , Lim Seunga , Ahn Jeongho , Sohn Younghoon , Lee Myungjun
Published: January 2025

We propose an ultra-wide-field imaging Mueller matrix spectroscopic ellipsometry (IMMSE) system for semiconductor metrology. The IMMSE system achieves large-area measurements with a 20 mm × 20 mm field of view (FOV)—the largest FOV reported to date—and a spatial resolution of 6.5 µm. It enables the acquisition of over 10 million Mueller matrix (MM) spectra within the FOV, while a unique signal correction algorithm ensures spectrum consistency across the FOV. Leveraging this numerous MM spectra and machine learning, spatially dense metrology across the entire wafer area is achieved. This approach provides over 12,800 times more metrology data and 580 times higher throughput compared to conventional point-based methods, such as scanning electron microscopy. We experimentally demonstrate the potential of the IMMSE for yield enhancement in semiconductor manufacturing by identifying spatial variations of dynamic random access memory (DRAM) structures within individual chips as well as across the wafer.
Informing manure recycling potential with an integrated indicator framework
Authors: Zhang Xin , Wang Yanyu , Spiegal Sheri , Davidson Eric
Published: January 2025

Livestock production has intensified globally to meet dietary demand, leading to excessive manure nutrient loss to the environment that affects ecosystems and human health. Recycling manure back to cropland potentially mitigates nutrient pollution and curtails the use of energy-intensive fertilizers. However, methods for estimating manure surplus, defined as the difference between available manure nutrients and crop nutrient requirements, vary widely. Using the contiguous United States as a case study, estimates of nitrogen (N) in manure surplus calculated following methodologies of six peer-reviewed studies ranged from -20.2 ± 2.0 to -2.4 ± 0.3 Tg N yr-1 (negative values indicating manure availability lower than crop demand). To reconcile these large differences, we developed a framework that integrates existing and new metrics for available manure N and crop N demand. We estimate that current manure surplus in the U.S. is -12.2 ± 2.0 Tg yr-1 and that improved diffusion of current technologies could increase manure surplus by 0.8 ± 0.1 Tg N yr-1. Collection of all manure from confined livestock, assuming enabling technological advancements, could add another 2.9 ± 0.1 Tg N yr-1. Reducing crop demand by improving nitrogen use efficiency could further increase manure surplus by 2.5 ± 2.4 Tg N yr-1. In combination, the gap between current manure recovery and crop N demand for synthetic fertilizers could be reduced by about 50% (6.2 ± 2.0 Tg N yr-1). Applied at the county level, this framework demonstrates regional variation in opportunities to improve manure recycling, which informs local and national strategies.
Using enantioselective biosensors to evolve asymmetric biocatalysts
Authors: d'Oelsnitz Simon , Kim Wantae , Hardtke Haley , Ikonomova Svetlana , Alperovich Nina , Vasilyeva Olga , James Michael , Zigon Eric , Johnson Charlie , Ellington Andrew , Justman Quincey , Springer Michael , Zhang Y. Jessie , Silver Pamela , Ross David
Published: January 2025

Biocatalysts are championed for their exquisite stereochemistry, but slow chromatographic separations necessary to measure enantiomeric excess can bottleneck their development. To overcome this limitation, we generate enantioselective transcription factors (eTFs) that convert enantiomer-specific analyte concentrations into programmable gene expression outputs. Using a massively parallel reporter assay, we measure dose-response curves for over 300,000 transcription factor variants in response to enantiomeric intermediates and an achiral precursor of the pharmaceutical Solifenacin. Leveraging this comprehensive dataset, we quantitatively compare the sensitivity, selectivity, and dynamic range of variants generated by random, site-saturation, and shuffling mutagenesis, enabling the isolation of eTFs with exceptional specificity. High-resolution structures further elucidate how sterics enforce enantioselectivity and charge interactions differentiate the imine precursor from amine reaction products. Finally, we use two eTFs to create a high-throughput chiral screen, which we pair with fluorescence activated cell sorting to evolve an imine reductase with inverted enantioselectivity. This method provides a rapid and scalable approach for asymmetric reaction screening, facilitating advancements in biocatalyst design for pharmaceutical manufacturing.
Climate Change Impact Assessment and Species Distribution Model of a Critically Endangered Tree Using MaxEnt Modelling
Authors: Ferdous Minhazul , Gupta Sudipta Sen , Chowdhury Mohd Imran Hossain , Khatun Rabeya , Rakib Mehedi Hasan , Salauddin Md. , Rahman Mohammad Mostafizur , Aftad Md. Yeamim , Hossen Tanvir
Published: January 2025

Climate change is a key factor driving species extinction by altering their habitats and populations. We can already see its impact on ecosystems around the globe, especially at the species level. Using species distribution models helps us understand how climate change might shift where species live under different climate scenarios, which is crucial for protecting endangered plants and animals. This study focuses on predicting how climate change will affect the important tree species Anisoptera scaphula in Bangladesh's Chittagong division, using the Maximum Entropy (MaxEnt) model. Under the SSP2-4.5 (2021-2040) and SSP2-4.5 (2041-2060), as well as SSP5-8.5 (2021-2040) and SSP5-8.5 (2041-2060) scenario, our model predicts suitable habitats for this species in 2040 and 2060. The results show minimal changes in suitable habitats, suggesting that A. scaphulais quite resilient to climate change. These findings can guide policies for wildlife conservation and forest management, highlighting the species' importance to various animals.
Meprin β activity modulates cellular proliferation via trans-signaling IL-6-mediated AKT/ERK pathway in IR-induced kidney injury
Authors: Abousaad Shaymaa , Ahmed Faihaa , Abouzeid Ayman , Adhiambo Christine , Ongeri Elimelda
Published: January 2025

Inflammation plays a central role in the progression of kidney injury induced by ischemia/reperfusion (IR). Meprin metalloproteinases have been implicated in the pathophysiology of IR-induced kidney injury. Existing data from in vitro and in vivo studies show that meprins modulate interleukin-6 (IL-6)-mediated inflammation via proteolytic processing of IL-6 and its receptor. IL-6 trans-signaling induces proliferation through either MAPK/ERK or PI3K/AKT pathway or in crosstalk with AKT/ERK. We previously showed that meprin β modulates cellular survival (BCL-2) through IL-6/JAK/STAT signaling pathway in IR-induced kidney injury. However, it’s not known how meprin β modulation of the IL-6 signaling pathway impacts the cellular proliferation in IR-induced acute kidney injury. The goal of the current study was to determine how meprin β modulation of the IL-6 signaling pathway impacts downstream cellular proliferation in IR-induced kidney injury. We used the unilateral IR as a model of renal inflammation in wild-type (WT) and meprin β knockout (βKO) mice, with the contralateral kidneys serving as controls. The mice were sacrificed at 96 h post-IR, and kidney tissue processed for evaluation by RT-PCR and immunohistochemistry. Statistical analysis utilized two-way ANOVA. RT-PCR data showed a significant increase in mRNA levels for IL-6 and proliferating cell nuclear antigen (PCNA) in WT and βKO mice at 96 h-post IR when compared to WT control kidneys. However, the baseline mRNA levels for PCNA were significantly higher in βKO when compared to WT kidneys. Immunohistochemical data showed significant increases in IL-6, PCNA, p-AKT and p-ERK in select tubules in both genotypes at 96 h post-IR when compared to control kidneys for each genotype. Data from immunofluorescence counterstaining of kidney tissues revealed that at 96 hours post-IR, IL-6, PCNA, p-AKT, and p-ERK were primarily expressed in meprin β-expressing proximal tubules (PTs), where meprins are abundantly present. However, high levels of IL-6 were also present in the lumen of PTs and DTs from WT and βKO kidneys at 96 h post-IR, suggesting increased release/shedding into filtrate and subsequently into urine. In conclusion, this study highlights the role of meprin β activity in regulating cellular proliferation through PCNA regulation, driven by the IL-6-mediated AKT/ERK signaling pathway during the recovery phase following IR-induced kidney injury.
Insights into Singapore’s National Strategy for Primary Care Reform: Physician Attitudes, Facilitators and Barriers to Healthier SG
Authors: Tan Hao Yi , Tan Joshua Kuan , Lam Lawrence TM , Tan David HY , Chua Ying Xian
Published: January 2025

Background Healthier SG (HSG), introduced in July 2023 by Singapore’s Ministry of Health as a nationwide primary care reform initiative, aims to enhance preventive care within the primary care sector, strengthen patient-physician relationships, and integrate health and social care. It incorporates a transition to capitation-based payment models and introduces structured “health plans” within consultations. Given the significant role of primary care physicians in implementing HSG, understanding their perspectives – including their attitudes, as well as the facilitators and barriers they encounter – is critical for addressing operational challenges and ensuring the initiative's success.Methods A qualitative study was conducted using semi-structured interviews with 15 primary care physicians from both public and private sectors directly involved in HSG. Participants were purposively sampled, and data were analysed using thematic analysis, guided by Braun and Clarke’s framework, to identify key attitudes, facilitators, and barriers.Results Participants were unanimously supportive of HSG’s objectives, particularly its emphasis on preventive care and potential to address long-term healthcare challenges. However, participants also expressed frustration with various implementation issues. Facilitators included heightened patient engagement in preventive health, a structured framework to prioritise preventive care during consultations, and subsidies that increased patient uptake of recommended vaccinations and screenings. However, there were barriers including increased administrative workload, challenges in integrating HSG tasks into existing clinical workflows, and concerns about financial sustainability, particularly in private practices. Participants also noted significant gaps in patient understanding of HSG, which disrupted consultations and workflows.Conclusion While the objectives of HSG were supported by physicians, its implementation posed substantial operational and financial challenges. Addressing these barriers requires improved administrative processes, enhanced system integration, and targeted public education efforts. Policymakers should consider tailored strategies for public and private healthcare providers to ensure the programme’s long-term success. These findings provide valuable insights for optimising HSG and can inform similar healthcare reforms in other contexts.
Significant association of serum carotenoids with the systemic immune-inflammation index: a cross-sectional study based on NHANES
Authors: Sun Hongcun , Hu Jiandao , Jiang Wenbo
Published: January 2025

The systemic immune-inflammation index (SII) can indicate inflammatory state. Carotenoids have anti-inflammatory properties. Therefore, this cross-sectional study analyzed data from the 2001–2006 and 2017–2018 cycles of NHANES to explore the association of serum carotenoids with SII. Multivariate linear regression models were employed to evaluate the relationship. Restricted cubic splines models were used to assess potential nonlinear relationships. Subgroup analyses and sensitivity analysis were also performed. Our study included 11,914 eligible participants. After adjusting for all covariates, the total carotenoids levels showed a negative correlation with SII (P < 0.001). Furthermore, the levels of α-carotene, β-carotene, β-cryptoxanthin, and lutein/zeaxanthin still had significant negative associations (all P < 0.001). Specifically, individuals in the highest quartile of α-carotene, β-carotene, β-cryptoxanthin, lutein/zeaxanthin, and lycopene had lower SII levels compared to those in the lowest quartile (all P < 0.05). Nonlinear relationships were observed between total carotenoids, α-carotene, β-carotene, β-cryptoxanthin, lutein/zeaxanthin, and SII (all P < 0.05), while a linear relationship between lycopene and SII was found (P = 0.070). Subgroup analyses and sensitivity analysis indicated that the results were robust. In conclusion, this study reveals a significant negative association between serum carotenoids and SII, highlighting the potential anti-inflammatory role of carotenoids.
EffDetNet：Abnormal Detection of Dampers Based on Lightweight Network with Shared Weights of Fused Multidimensional Features
Authors: Ji Chao , Li Zhenyu , Liu Junpeng , Zhou Siyuan , He Jiayi , Mu Jingyu , Huang Xinbo
Published: January 2025

The vibration dampers on transmission lines, after prolonged exposure to natural environments, are prone to corrosion and damage caused by various external factors. Detection algorithms specifically designed for small targets like vibration dampers are still scarce. Moreover, existing algorithms often exhibit drawbacks such as limited accuracy and insufficient real-time performance.To address these challenges, this paper proposes a novel detection method for abnormal vibration dampers on transmission lines based on an EffDetNet framework. Specifically, Multi-dimensional Separable Concatenated Residual Convolution module (MDSCR) is introduced to enhance contextual connections through multi-scale feature extraction. By integrating feature fusion, the model preserves more detailed features, while depthwise separable convolution reduces computational overhead, improving both accuracy and detection speed. Additionally, a Dynamic Allocation Attention mechanism (DAAM) is proposed to effectively capture diverse dimensional information, thereby enhancing feature focus and perceptual capabilities.To further optimize performance, we design a lightweight re-parameterized convolution and shared convolution detection head (LRSC), which significantly reduces model parameters and enhances computational efficiency. Finally, we adopt a Shape-IoU bounding box regression loss function to achieve faster convergence and higher detection precision.Experimental results validate the high efficiency and performance of the EffDetNet model. On the dataset constructed for this study, the model achieves a mean Average Precision (mAP) of 94.3% and a Frames Per Second (FPS) rate of 128.3. Leveraging this model, we developed an abnormal vibration damper monitoring system for transmission lines, demonstrating significant practical engineering value.
A Brain-inspired Memory Transformation based Differentiable Neural Computer for Reasoning-based Question Answering
Authors: Liang Yao , Wang Yuwei , Fang Hongjian , Zhao Feifei , Zeng Yi
Published: January 2025

Reasoning and question answering, as fundamental cognitive functions in humans, remain significant hurdles for artificial intelligence. While large language models (LLMs) have achieved notable success, integrating explicit memory with structured reasoning capabilities remains a persistent difficulty. The Differentiable Neural Computer (DNC) model, despite addressing these issues to some extent, still faces challenges such as algorithmic complexity, slow convergence, and limited robustness.Inspired by the brain’s learning and memory mechanisms, this paper proposes a Memory Transformation based Differentiable Neural Computer (MT-DNC) model. The MT-DNC integrates working memory and long-term memory within the DNC framework, enabling the autonomous transformation of acquired experiences between these memory systems. This facilitates efficient knowledge extraction and enhances reasoning capabilities. Experimental results on the bAbI question answering task demonstrate that the proposed method outperforms existing Deep Neural Network (DNN) and DNC models, achieving faster convergence and superior performance. Ablation studies further confirm that the transformation of memory from working memory to long-term memory is critical for improving the robustness and stability of reasoning. This work offers new insights into incorporating brain-inspired memory mechanisms into dialogue and reasoning systems.
Household Energy Consumption Forecasting Using LSTM and ARIMA Models: A Comprehensive Analysis
Authors: Bandlamudi Alex
Published: January 2025

Accurately forecasting residential energy consumption is essential for efficient energy management and optimization. This study aims to develop predictive models to forecast household energy consumption for the next 15 days (multi-step ahead forecasting) of a given month, based on the previous 15 days of data. Using minute-level data collected over 15 days from a residential setup with an ESP32 microcontroller and a PZEM-004T energy monitoring module, this study examines the capabilities of ARIMA and LSTM models in predicting future energy consumption. The data underwent extensive preprocessing, including normalization, differencing, and stationarity tests, to ensure suitability for modeling. The ARIMA model, configured with an order of (1, 2, 15), and the LSTM model, featuring four LSTM layers with varying dropout rates, were evaluated for their forecasting accuracy. The ARIMA model achieved a Root Mean Squared Error (RMSE) of 0.0217 and a Mean Squared Error (MSE) of 0.0009. Conversely, the LSTM model demonstrated superior performance with an RMSE of 0.0196, a test loss of 0.000851, and a lower Mean Absolute Error (MAE) of 0.015, compared to the ARIMA model's MAE of 0.025. Additionally, the LSTM model achieved a more favorable Mean Absolute Percentage Error (MAPE) of 3.0%. These findings highlight the effectiveness of LSTM models in capturing complex temporal patterns and improving forecasting accuracy compared to traditional ARIMA models. This research provides valuable insights into advanced energy forecasting methodologies, laying the groundwork for future work in residential energy optimization.\section*{\small Article Highlights}\begin{itemize}\item LSTM models outperform ARIMA in predicting household energy usage by capturing complex patterns.\item Minute-level data enhances the accuracy of short-term energy consumption forecasting.\item Real-time LSTM-based predictions could optimize energy management in smart homes.\end{itemize}
Recovering noisy measurements over inland water bodies by regenerating L1B SAR altimetry waveforms using a segment-weighted Fully-Focused - Synthetic Aperture Radar (swFF-SAR) processing scheme
Authors: Khalili Shahin , Tourian Mohammad J. , Elmi Omid , Engels Johannes , Soergel Uwe , Sneeuw Nico
Published: January 2025

Satellite nadir altimetry has been a powerful technique for understanding oceans and seas over the past few decades. However, over rivers and small inland water bodies, it produces erroneous observations, which can result in gaps or false measurements in water level time series. In this study, we aim to identify and correct anomalous measurements through reprocessing at the Level 1B (L1B) stage of the satellite altimetry processing chain. To this end, by analyzing various parameters related to the satellite’s altimeter, such as the AGC parameter, tracker range, and waveform shape features, we first detect anomalous waveforms that result in anomalous water level measurements. These waveform features include the number and location of peaks, noise level, kurtosis, center of gravity, and peakiness. Anomalous waveforms are identified through an analysis of the distribution of these features. While previous studies focused solely on L1B waveform to retrack multi-peak and noisy waveforms, we propose a robust strategy to regenerate anomalous waveforms within the L1B SAR processing chain by eliminating unwanted backscattered power. This approach incorporates the Fully-Focused Synthetic Aperture Radar technique into the L1B processing chain, dividing the illumination time into smaller stacks comprising multiple beam looks. Due to factors such as antenna side lobe gain, wide antenna footprints, and environmental unevenness, some beam looks may exhibit undesired patterns in generated waveform. Our proposed approach addresses this issue by comparing the power of individual stacks with an analytically derived reference waveform and assigning weights to each stack based on their similarity to the reference waveform abbreviated as segment-weighted Fully-Focused - Synthetic Aperture Radar (swFF-SAR). This reduces the impact of unwanted components in the backscattered final waveform and enables the regeneration of detected anomalous waveforms for inland waters. We applied the proposed method to Sentinel-3A, Sentinel-3B, and Sentinel-6MF data over 6 lakes and reservoirs of various sizes and validated the results against in-situ data. The validation demonstrates that the water height time series obtained from regenerated waveforms show significantly better agreement with in-situ data. Specifically, the accuracy of the water level time series, measured in terms of RMSE, improved by around 60% for the selected case studies.
The Effectiveness of the Pteridophyta Diversity E-Module in the Sikarim Waterfall Area as a Biology Teaching Material on the Cognitive Learning Outcomes of Grade X Students
Authors: Kastimah Umi Latifah , Ericka Ericka Darmawan , Serafica Btari Christiyani Kusumaningrum
Published: January 2025

The objectives of this research are as follows: 1) find out what types of ferns (Pteridophyta) exist in the SikarimWaterfall area. 2) Knowing the suitability of e-modules as biology teaching materials for students. 3) Analyze the effectiveness of e-modules on students' cognitive learning outcomes. The research method used is the Research and Development (R&D) 4D model. At the dissemination stage, a small-scale trial was carried out with a one-group pretest post-test design. The subjects in this research were class X-7 students at SMAN 1 Mojotengah. The results of this research show that the e-module based on the potential of Pteridophyta in the Sikarim Waterfall Area is suitable for use as teaching material on biodiversity material, with scores obtained from material experts of 93.22% and media experts of 87.17% as well as filling in responses from participants students amounted to 82.22% and teacher responses amounted to 95.57%. The effectiveness of e-modules on student learning outcomes is based on the N-Gain value. The calculation results show differences in the pretest and post-test results. The increase in student learning outcomes is categorized as high, with an N-Gain of 0.789. Therefore, it can be concluded that the e-module based on the potential of Pteridophyta in the Sikarim Waterfall Area is feasible and effective for use as biology teaching material on biodiversity
Efeitos de múltiplos predadores e complexidade de hábitat na sobrevivência de Oreochromis niloticus
Authors:   , Moura Maria Joana Nogueira de
Published: January 2025

As introduções de espécies animais não nativos ocorrem em todas as regiões colonizadas pelo homem e tem causado uma série de alterações nas comunidades nativas, principalmente a eliminado várias espécies de peixes que estão presentes no ambiente e servem como alimento para outros peixes, assim o objetivo desse trabalho foi de avaliar o efeito de dois predadores, Cichla Kelberi e Hoplias aff. malabaricus na presença de macrófitas artificiais sobre a sobrevivência de presas do Oreochromis niloticus. O trabalho foi realizado em experimento com delineamento inteiramente casualizado no qual foi utilizado dois níveis de macrófitas (com e sem) e três níveis de predadores (H. aff. malabaricus, C. kelberi, e H. aff. malabaricus + C. kelberi), com 5 réplicas cada, iniciando com a adição de 70 alevinos de tilápia por tanque e encerramento 24 horas depois com a contagem da proporção de presas consumidas. A análise do efeito dos predadores e da presença de macrófitas artificiais na proporção de presas consumidas, bem como a interação desses fatores foi avaliada por uma análise de variância fatorial (two-way ANOVA) e para calcular os efeitos esperados aditivos e multiplicativos de múltiplos predadores foram utilizadas equações próprias dos modelos. Com base nessas análises foi identificado que o C. kelberi e H. aff. malabaricus consumiram proporções semelhantes de O. niloticus nos tratamentos monoespecíficos. Em ambientes com macrófitas artificiais a média das presas consumidas foi significativamente menor para o tratamento com o predador C. kelberi. Os efeitos observados e esperados de múltiplos predadores não apresentaram significância, contudo para os tratamentos com macrófitas artificiais foi e não foi identificado impacto emergente de múltiplos predadores para nenhum ambiente. Por fim, esse trabalho mostrou que o sucesso de estabelecimento da espécie invasora O. niloticus pode ser favorecido em ambientes com presença de macrófitas artificiais, bem como pela interação entre predadores no qual que uma vez juntos reduziu a taxa de mortalidade das presas não nativas.
Strengthening the Position of Child Victims as Witnesses Through Video Recordings in Sexual Violence Crimes (A Comparison Between Indonesia and Malaysia)
Authors: Aprilianda Nurini , Kadir Nadhilah A. , Bagaskoro Ladito Risang , Yuliani Anggi Ari
Published: January 2025

The increasing number of children as witnesses in proving a criminal offense presents a problem in the Indonesian criminal justice system. Based on Article 184 of the Criminal Procedure Code, evidence provided by witnesses must meet specific requirements, including being given by adults. Consequently, testimony from child witnesses is not recognized as valid evidence, as they are not sworn in and are considered legally immature. Apart from that, the impact of technological developments, such as the use of video to record children's statements as witnesses, has not yet become part of witness statements as a valid form of evidence. However, the Malaysian legal system, through the Evidence of Child Witness Act 2007, has made legal breakthroughs that allow child victim statements as admissible evidence through recorded footage, live video, and in-person testimony. This research seeks to reinforce the role of children as witnesses by employing a normative juridical method, along with statutory and comparative legal approaches, to explore potential changes in legislation to incorporate video-recorded testimony for child witnesses. Legislative updates may involve revising (a) the Child Protection Law; (b) the Criminal Procedure Code (KUHAP); and (c) the Electronic Information and Transactions Law. Besides, practical steps could support these changes, such as creating dedicated spaces with appropriate technology, establishing protocols and standards for child witness testimonies, and providing specialized training for judges, prosecutors, and investigators.
Synthesis and Characterization of Nickel Nanoparticles: Biological and Photocatalytic Properties
Authors: Fadliah Fadliah , Raya Indah , Ahmad Ahyar , Taba Paulina , Burhanuddinnur Muhammad , Gaffar Maming , Putri Tri Widayati , Nur Arfiani , Abubakar Andi Nur Fitriani , Munadi Rachmin , Majid Ahmad Fudhail , Pratama Irham , Yasser M. , Jarre Sulistiani , Karim Harningsih
Published: January 2025

The potential uses of ecologically benign nickel nanoparticle manufacturing in various sectors, such as biomedicine, energy storage, and catalysis, have garnered much interest. This paper covers green approaches to nickel nanoparticle manufacturing, which integrate natural substances as stabilizing and reducing agents with eco-friendly processes. Phytochemicals derived from bacteria, microorganisms, and plant leaf extracts can convert nickel ions (Ni2+) into nickel nanoparticles. Room temperature is used for the synthesis procedure, and neither dangerous compounds nor unusual reaction conditions are used. Using a variety of analytical methods, the resultant nickel nanoparticles were characterized. We also investigate the possibility of using the generated nickel nanoparticles as a cytotoxic, photocatalytic, antioxidant, and antibacterial agents. The antimicrobial activity of nickel nanoparticles demonstrates their potent antibacterial properties, while their antioxidant activity demonstrates their capacity to combat free radicals effectively. Furthermore, nickel nanoparticles' cytotoxic activity demonstrates their capacity to kill cancer cells, and their photocatalytic activity demonstrates their efficiency in breaking down organic contaminants. This review highlights the value of ecologically benign synthetic methods and creates new avenues for developing nickel nanoparticle applications in health and the environment.
Synthesis of Some Metal Complexes with New Heterocyclic Ligand (5-(((2-(3-(1H-indol-3-yl)acryloyl)phenyl)amino)methylene)-2-thiooxodihydropyrimidine-4,6(1H,5H)-dione) and Their Biological Effectiveness as Antioxidant and Anti-Cancer
Authors: Hilal Thanaa Abdul Ameer , Kareem Ibtihal Kadhim
Published: January 2025

A novel ligand 5-(((2-(3-(1H-indol-3-yl)acryloyl)phenyl)amino)methylene)-2-thioxodihydropyrimidine-4,6(1H,5H)-dione) (L1) which contains two groups of carbonyl synthesized in one pot and three-component reaction with thiobarbituric acid as starting material, and its complexes with Co(II), Ni(II), Cu(II), Zn(II) and Au(III) have been synthesized. The results of spectrophotometry, nuclear magnetic resonance of proton (H-NMR), infrared spectroscopy (FTIR), ultraviolet and visible (UV-vis) spectroscopy, X-ray diffraction (XRD), elemental analysis (CHNS) and molar conductivity measurements were used to suggest the proposed structures. These data have been utilized to propose appropriate geometric configurations for all complexes. The L1 coordinates toward the metal ions Co(II), Ni(II), Cu(II), and Zn(II), giving an octahedral geometry, while it has a square planar shape with the Au(III) ion. Scanning microscopy (FE-SEM) was used to determine the size of nanoparticles. The present investigation employs a comprehensive molecular docking analysis to assess the binding energies of anti-cancer drugs, thereby elucidating their binding affinity towards the receptor. This indicates that the [Au(L1)Cl]Cl2 complex has a strong affinity for the protein kinase (1HK7). Significant antiproliferative activity was seen in it against human breast cancer (MCF-7) and normal cell lines (MCF-10), as evidenced by the IC50 and selective indices (SI) values. This study could contribute to the development of pharmaceutical preparations.
Iron-Binding Capacity and Antidiabetic Activity of Baby Clam (Corbiculidae sp.) Meat Protein Hydrolysate
Authors: Vo Tam Dinh Le , Huynh Thu , Le Thuy Thi , Tran An Thi Tuong , Vo Bao Chi
Published: January 2025

Baby clam (Corbiculidae sp.) meat is served as a traditional dish in Vietnam, and the antioxidant activity of its protein extract has been discovered. This study evaluates baby clam meat protein hydrolysate's iron-binding capacity (IBC) and antidiabetic activity. Initially, an analysis of the basic chemical composition of the meat was conducted. Subsequently, Alcalase was employed for hydrolysis. The highest IBC and α-amylase inhibition activity were targets for obtaining the best hydrolysis condition, including the clam meat-to-water ratio, enzyme-to-substrate (E:S) ratio, and time. Under the best condition, the hydrolysates demonstrated the IBC of 1246.20 ± 44.00 µg Fe2+/g protein and α-amylase inhibition activity of 48.33 ± 1.44%, approaching three-quarters of the activity of ethylenediaminetetraacetic acid (EDTA) sodium salt and acarbose, respectively. These results served as preliminary data for the development of the protein hydrolysates as a natural iron chelator or α-amylase inhibitor, which could support the treatment of iron deficiency and diabetes.
Solvent-Free Synthesis of Co-Based Zeolitic Imidazolate Framework (ZIF-9) for the Removal of Congo Red from Water
Authors: Tran Khoa Dang , Phan Hoan Tuan , Nguyen Chi Thi Kim , Nguyen Bao Chi , Le Ha Vu , Nguyen Khoa Dang
Published: January 2025

The study presented a green and benign approach via mechanochemistry for rapidly preparing a typical cobalt-based zeolitic imidazolate framework, namely ZIF-9. The structural, morphological and textural properties of the obtained material were confirmed by X-ray diffraction (XRD), scanning electron microscopy (SEM), and nitrogen sorption at 77 K. The prepared material was then employed as an efficient adsorbent to remove Congo red (CR) from the aqueous solution. Intensive experiments were then conducted with the removal of CR to investigate the effect of adsorption conditions, including contacting time, pH value, and initial concentration of organic dye solution. The adsorption process follows the pseudo-second-order kinetic model, indicating that the adsorption of the CR dye is primarily chemical adsorption. The Langmuir model fitted the experimental data with a maximum adsorption quantity of 248.22 mg/g. Besides, the adsorption capacity of prepared ZIF-9 still remained stable after three cycles. This strategy was a simple method compared to conventional methods in terms of reducing the amount of used solvents, energy requirements, and the duration of the synthetic process.
Unveiling Ecological Feminism in Manga Series Buddha by Osamu Tezuka
Authors: Pragati Pragati , Sharma Devendra Kumar
Published: January 2025

Due to constant exploitation of environment, the theory of ecocriticism has emerged; this intersection of literature and ecology provides a greater scope to interpret current environmental crisis, and one of the lenses that has emerged through it, is ‘Ecofeminism’. Ecofeminism is a social and political movement that examines the interconnectedness between the oppression of women and the degradation of the environment. Osamu Tezuka’s manga series Buddha, while focuses on Siddhartha’s spiritual journey, it also incorporates diverse female characters playing significant roles in the series. The paper probes into the various aspects of eco-feminist ideals through these female characters, such as the rejection of oppressive gender roles, the pursuit of personal agency and spiritual growth, and the recognition of the interconnectedness between human beings and the natural world. It further delves into the challenges of traditional patriarchal structures and offer alternative narratives that emphasize empathy and a harmonious relationship with nature.
Air Force Servicemen from Soviet Kalmykia Killed in Battles of the Great Patriotic War (1941–1945)
Authors:   Kalmyk Scientific Center of the RAS, Ershov Sergey G.
Published: January 2025

Introduction. The article deals with Red Army Air Force servicemen from the Kalmyk ASSR recorded as KIAs, MIAs or who died in the warring years of 1941–1945, and provides some historical statistical insights to outline a collective portrait of theirs. Goals. The paper seeks to compile a database on air force servicemen from Soviet Kalmykia killed in battles of the Great Patriotic War (1941–1945) and attempts its statistical analysis. Materials and methods. The article employs a variety of general scientific and special methods — including the historical genetic, historical comparative, historical typological, historical systemic, and statistical ones — to analyze records management documents of corresponding Red Army units (contained in the Memorial and Pamyat Naroda resources), primarily casualty reports and combat logs. Results. The conducted research yields a database of soldiers and officers from the Kalmyk ASSR who served in the Red Army Air Forces during the Great Patriotic War of 1941–1945, and were classified as KIAs, MIAs or DOWs. Furthermore, an analysis of their collective portrait is implemented by such categories as place and year of birth, place of conscription, time and place of death, place of service, time and number of awards. Conclusions. The analysis attests to natives of Kalmykia showed themselves as decent members of the Red Army Air Forces during the Great Patriotic War of 1941–1945, and 49 of them fell fighting, including 40 individuals that were registered as KIAs and MIAs since they never returned from operational flights.
Global Health Impact from Climate Change
Authors: Costello : , West D. , Szydlowsi S. , Ramirez B.
Published: January 2025

The phenomenon of climate change is impacting the planet with notable effect. Polar ice is melting, ocean levels are
rising, daily temperatures are increasing, forest fires are burning longer and destroying more residential areas, and urban
air quality levels are deteriorating. At the same time, human
health is experiencing the effects of exposure to changing
climate. Research has indicated that extreme climactic conditions can shorten life expectancy and impact cardias, respiratory and mental health as well as facilitating the spread of
some infectious diseases. The health related impacts of climate change merit serious attention in the patient and provider
communities. Opportunities to effectuate meaningful changes
are examined