bluuebunny/crossref_metadata_2025 huggingface dataset:
Insights on sustainability of Earth Science data infrastructure projects
Authors: Virapongse Arika , Gallagher James , Tikoff Basil
Published: August 2023

In this paper, we studied eleven long-term data infrastructure projects, most focused on the Earth Sciences, to understand characteristics that contributed to their project sustainability. Among our sample group, we noted the existence of three different types of project groupings: Database, Framework, and Middleware. Our results show that most efforts started as funded research projects, and nearly all became organizations in order to become sustainable. Projects were often funded for short time scales, but had the long-term burden of sustaining and supporting open science, interoperability, and community building–activities that are difficult to fund directly. This transition from “project” to “organization” was challenging for most efforts, and specifically in regards to leadership change and funding issues. Some common approaches to sustainability were identified within each project grouping. Framework and Database projects both relied heavily on the commitment to, and contribution from, a disciplinary community. Framework projects often used bottom-up governance approaches to maintain the active participation and interest of their community. Database projects succeeded when they were able to position themselves as part of the core workflow for disciplinary-specific scientific research. Middleware projects borrowed heavily from sustainability models used by software companies, while maintaining strong scientific partnerships. Cyberinfrastructure for science requires considerable resources to develop and sustain itself, and much of these resources are provided through in-kind support from academics, researchers, and their institutes. It is imperative that more work is done to find appropriate models that help sustain key data infrastructure for Earth Science over the long-term.
Multi-Objective Feature Selection for Structure Preservation in Multi-Label Data Using Particle Swarm Optimization
Authors: Karimzadeh Masoud , Moradi Parham , Ghaderzadeh Abdulbaghi
Published: August 2023

In order to make the data more manageable and improve the accuracy of machine learning models, data need to be preprocessed. Data preprocessing involves a series of steps such as data cleaning, data transformation, feature selection, and feature extraction. Data cleaning involves removing or correcting data that is incorrect, incomplete, irrelevant, or duplicated. Data transformation includes normalization, standardization, aggregation, and discretization. Feature selection involves selecting the most relevant features from the dataset while feature extraction involves transforming existing features into new features. Our proposed evaluation function combines a multi-label accuracy measure with a feature selection measure. In this paper a new assessment method based on swarm intelligence for feature selection. The suggested technique utilizes a multi-objective fitness function by utilizing mutual information between features and labels. We conduct experiments on five real-world datasets. The results show that proposed evaluation function in some cases outperforms the existing methods.
The Impact of Typical Plant Community Characteristics in the Langya Mountain Urban Forest Park on Climate Effects
Authors: Ren Liying , Hua Rui , Gu Shiguo , Gu Liuwan , Li Yinuo
Published: August 2023

With the rapid development of urbanization, the urban heat island effect poses a huge threat to the urban climate environment, which objectively reflects the microclimate effect of urban forest parks on urban climate. The paper investigates the characteristics of typical plant communities and the relationship between plant communities and microclimate regulation in Langya mountain urban forest park, and explores the transformation of plant communities on their occupied environment. By monitoring the impact of typical characteristics of different plant communities on the microclimate of forest parks, the microclimate effect of plant communities of different forest types was studied, and the regulation of plant communities in urban forest parks on local Microclimate was analyzed. Our findings indicate that the community forest density and plant coverage at sampling point C are relatively high, with a canopy density close to 0.85, which has no significant impact on refrigeration and humidification, but can effectively increase the concentration of negative ions in the air. Moreover, sampling site C belongs to arbor, bush, and shrub layer structure with high green content, which has a good effect on dust reduction and retention.
Diabetes mellitus and ankylosing spondylitis: A bidirectional Mendelian randomization study.
Authors: Luo hongsheng , Pan bingcheng , Liu shuanghua , Huang weidong , Tan yimei , Gan zhenyu , Pan zhenhua , Huang menghe , Zhong dayuan , Wu shuan
Published: August 2023

Background: Previous studies have shown a higher prevalence of diabetes mellitus (DM) in the ankylosing spondylitis (AS) population, but there are only a very few observational studies of the two diseases, and there is still a lack of research on the causal relationship between ankylosing spondylitis and diabetes mellitus. Therefore, we took an mendelian randomization (MR) approach to explore the causal relationship between AS and DM.
Methods: MR can be used to investigate whether there is a causal relationship between DM and AS using single nucleotide polymorphisms (SNPs). We performed bidirectional Mendelian randomization analysis to explore the causal relationship between AS and DM, and the data associated were obtained from the FinnGen Research Project.
Results: After a rigorous experimental design and instrumental variable screening, we could find a causal relationship between AS and Type 1 diabetes mellitus (T1DM), and AS reduced the risk of T1DM (IVW-MRE: P=2.92E-04; WM: P=3.39E-05; Outlier-corrected: P=8.48E-03,OR for IVW-MRE: 0.910, 95% CI: 0.865-0.958; OR for WM: 0.910, 95% CI: 0.870-0.951). We did not derive reliable results between AS and T2DM, but due to the results of weight median (p=1.74E-02<0.05), and the fact that the OR of all three methods of MR analysis was less than 1, we can conclude that patients with AS are at a lower risk of developing Type 2 diabetes mellitus (T2DM). In the reverse study, it was not concluded that DM increased the risk of AS (P>0.05 for all four MR methods).
Conclusion：The current study does not support the previous view that the prevalence of DM is higher in patients with AS, confirms the conclusion that the risk of T1DM is lower in patients with AS, and that AS may reduce the risk of T2DM, but does not obtain evidence of the relevance of the effect of DM on AS.
Performance Comparison of Improved Machine Learning Algorithms Based on Bayesian Optimization in High-dimensional and Unbalanced COPD Data
Authors: Li Yiting , Wang Xuchun , Qiao Yuchao , Ren Jiahui , Ren Hao , Cui Yu , Liu Jing , Zhao Ruiqing , Qiu Lixia
Published: August 2023

Background and objective: Early identification of individuals at high risk of chronic obstructive pulmonary disease (COPD) is crucial for reducing related mortality rates and economic burden. However, conventional machine learning (ML) models have limitations when making predictions using COPD data that exhibit high-dimensional and unbalanced characteristics. Therefore, to address this issue, this study developed a well-performing Bayesian optimization (BO)-ML hybrid model combined with variable screening and resampling technology to construct a COPD risk prediction model.
Methods: We collected a sample of 4,747 COPD cases with no missing data from the 2019 COPD Surveillance project in Shanxi Province, and extracted 34 potentially relevant variables from the dataset. Firstly, we used the Smoothly Clipped Absolute Deviation (SCAD) method to select variables associated with COPD. Secondly, we oversampling the unbalanced data using Synthetic Minority Over-sampling Technique (SMOTE) algorithm. Thirdly, we construct risk prediction models in the training set using four BO-improved ML models, including BO-Decision Tree (DT), BO-Naive Bayes (NB), BO-Support Vector Machine (SVM) and BO-K-nearest neighbor (KNN). Finally, the predictive performance of the combined models is tested and evaluated.
Result: The SCAD method was used to select 14 variables specifically associated with COPD from a dataset of 34 features. After applying the SMOTE resampling method, the ratio of COPD patients to non-COPD patients in the dataset of this study was balanced at 1:1. In the construction process of the four ML models, this study utilized BO algorithm to identify their optimal hyperparameters. Furthermore, in the comparison of model performance, this study found that combining BO-ML hybrid models with data balancing techniques can improve their performance. Specifically, the combination of SMOTE and BO-NB demonstrated stable performance and attained high scores in the comprehensive evaluation index, with AUC and G-means values of 0.770 and 0.696 respectively.
Conclusion: Despite the challenges posed by high dimensionality, redundancy, and class imbalance in data set, the BO-NB model, when integrated with SCAD and SMOTE, has exhibited excellent performance in accurately identifying individuals at a high risk of COPD. It provides early warnings to clinical doctors, helping them take timely preventive measures.
Mangiferin-Mediated Sirtuin Modulation in Chemotherapy-Induced Cognitive Impairment: Insights from Computational Analysis
Authors: Reddy Shireesha Jannapu , B Harish Kumar. , Mutalik Srinivas , K Sreedhara Ranganath Pai , K Nandakumar
Published: August 2023

Context: Chemobrain, known as chemotherapy-induced cognitive impairment (CICI), is among the adverse effects of chemotherapy frequently observed in chronic breast cancer survivors. This condition is primarily attributed to the increased presence of free oxygen radicals and inflammatory cytokines both peripherally and centrally. SIRT1, a highly conserved evolutionary regulator, plays a pivotal role in protecting organisms from oxidative stress. Notably, elevated levels of SIRT1 are expressed in the hippocampal regions of the brain, a critical structure closely associated with learning and memory in the central nervous system. This correlation suggests that SIRT1 is implicated in the regulation of various cognitive disability models. Therefore, modulating SIRT1 activity has the potential to mitigate CICI by reducing oxidative stress markers within the brain.
Method: The current study involves molecular docking of Mangiferin and other phytochemicals previously established as activators of human SIRT1 protein. Subsequently, molecular dynamics simulations are conducted using the phytochemical that exhibited the highest docking score compared to others. These investigations encompass several key steps, including protein selection, protein and ligand preparation, receptor grid generation, ligand docking, calculation of binding free energy, and molecular dynamic simulation by using using Maestro version 12.1 using Schrodinger, LLC.
Enhancement of Growth Perfection and Optical Transmission in Rhodamine B-doped KDP Single Crystal for Photonic Applications
Authors: dhas sahaya jude Sathiya , Usharani S. , Priyavathani S. Janet , Umarani P.
Published: August 2023

In recent years, because of the rapid development persisting in the modern electronic industries, materials with the ability of producing highly efficient harmonic generation have acquired great demand as they are very much suitable for high-speed devices and for the progressing field of optical communication system. In the present work, we report the growth, diffraction and spectroscopic features of the pure and Rhodamine B (RB)-doped potassium dihydrogen phosphate (KDP) crystals. The title crystal was grown by the conventional slow evaporation technique. The XRD and UV-Visible spectral studies have been carried out to examine the structural and optical behavior of the grown crystals. Optical microscopic technique has been utilized to examine the surface features of the grown crystals and the impedance spectroscopic measurements have been carried out to know the electrical energy storage capability and electrical conductivity behaviour. Based on the growth features and the observed analytical results, it is authenticated that that the RB-doped crystal possesses better crystalline nature and optical transmittance and hence it is strongly suggested for the applications of photonic devices.
Tissue Differentiation and Diagnostic Accuracy of 99m Tc-PSMA and 99m Tc-MDP Bone Scans in Prostate Cancer Patients
Authors: Banouei Farshad
Published: August 2023

Purpose: Prostate cancer is currently the second most common cancer among men worldwide. Given the prevalence of this disease and the costs incurred by society in its diagnosis and treatment, awareness of diagnostic and therapeutic modalities and factors influencing their outcomes is of particular importance.
Methods: This prospective study aimed to investigate the diagnostic accuracy of 99mTc- PSMA scan and 99mTc-MDP Bone scan in 40 patients with prostate cancer and bone metastases. The study was conducted between 2020 and 2023, and the results were compared based on the tissue differentiation of cancerous tissues.
Results: The data analysis revealed that the diagnostic accuracy of 99mTc- PSMA scan and 99mTc-MDP Bone scan for grade groups 1-5 ranged from 95.4% to 100% and 95.4% to 100%, respectively. However, none of the results were statistically significant. Specifically, the 99mTc- PSMA scan demonstrated diagnostic accuracy percentages of 100%, 98.7%, 96.1%, 96.6%, and 95.4%, respectively, for grade groups 1 to 5. Similarly, the diagnostic accuracy of 99mTc-MDP Bone scan for grade groups 1 to 5 was 100%, 96.3%, 98.7%, 96.6%, and 95.4%, respectively.
Conclusion: The statistical analysis of the data suggests that tissue differentiation of prostate cancer does not impact the diagnostic accuracy of 99mTc- PSMA scan and 99mTc-MDP Bone scan. Moreover, the Gleason score of tissue samples did not affect the differentiation of cancerous tissues by the scans. Therefore, the findings suggest that 99mTc- PSMA scan and 99mTc-MDP Bone scan can provide accurate diagnostic results for prostate cancer patients with bone metastases, regardless of the tissue differentiation or Gleason score.
Word Prediction Model using an elaborated RNN integrated with N-gram for efficient Text Input
Authors: Ikegami Yukino , Tsuruta Setsuo , Kutics Andrea , Damiani Ernesto , Knauf Rainer
Published: August 2023

Smartphone users are beyond two billion worldwide. Heavy users of the texting application rely on input prediction to reduce typing effort. In languages based on the Roman alphabet, many techniques are available. However, Japanese text is based on multiple character sets such as Kanji, Hiragana and Katakana. For its time intensive input, next word prediction an open challenge. To tackle this, a hybrid language model is proposed. It integrates a Recurrent Neural Network (RNN) with an n-gram model. RNNs are powerful models for learning long sequences for next word prediction. N-gram models are best at current word completion. Our RNN language model predicts next words. According the “price” of the performance gain paid by a higher time complexity, our model best deploys on a client-server architecture. Heavily-loaded RNN-LM deploys on the server while the n-gram model on the client. It consists of an input layer equipped with word embedding, an output layer, and hidden layers connected with LSTMs (Long Short-Term Memories). Training is done via BPTT (Back Propagation Through Time). For robust training, BPTT is elaborated by learning rate refinement and gradient norm scaling. To avoid overfitting, the dropout technique is applied except for LSTM. Due to synergetic elaboration, it shows 10% lower perplexity than Zaremba’s excellent conventional models in our experiment. Our model has been incorporated into IME (Input Method Editor) we call Flick. In our experiment, Flick outperforms Mozc (Google Japanese Input) by 16% in time and 34% in the number of key strokes.
PRODUÇÃO ACADÊMICA SOBRE A REFORMA DO ENSINO MÉDIO: CATEGORIAS DE ANÁLISE E INDICADORES BIBLIOMÉTRICOS (2016-2019)
Authors: Lima Marcelo , Teixeira. Zilka Sulamita , Sperandio Renan dos Santos , Da Silva Marcos Lengrub
Published: August 2023

Este artigo analisou a produção acadêmica recente do período de 2016-2019 produzidos em reação a atual reforma do ensino médio (lei n. 13415/17). A partir do estudo de dois seguimentos de trabalhos composto por artigos e teses/dissertações operou-se a indicação das principais categorias de análise e palavras-chave e, posteriormente, utilizando indicadores bibliométricos realizou-se a classificação dos 18 trabalhos que tiveram maior impacto no meio acadêmico. Em síntese, os trabalhos indicaram criticamente as diversas implicações, limites e objetivos da reforma sem perder de vista seu contexto político, econômico e ideológico mais amplo que lhe deram origem.
INDIGNAÇÃO E ESPERANÇA FRENTE AO MOVIMENTO NEOCONSERVADOR: ANÁLISE A PARTIR DE PAULO FREIRE
Authors: Silva Rafael Bianchi , Gonçalves Jose Alexandre , Santos Adriana Regina de Jesus , Beleze Nathalia Martins
Published: August 2023

O presente artigo tem como objetivo analisar projetos de lei em tramitação desde o ano de 2019 que buscam revogar a Lei nº 12.612/12 que conferiu à Paulo Freire, o título de “Patrono da Educação Brasileira”. Para tanto, foi realizado um levantamento dos documentos na página oficial da Câmara dos Deputados, pesquisando projetos de leis (PL’s), tendo como buscadores os termos “Educação”, “Escola”, “Professores”. A partir de uma reflexão crítica e dialética, observou-se que os PL buscam, com uma leitura equivocada sobre o pensador brasileiro, diminuir a sua importância na educação brasileira.
CONDIÇÕES DE TRABALHO DOS DOCENTES DO ENSINO FUNDAMENTAL DURANTE A PANDEMIA DA COVID-19
Authors: Brum Raissa Garcia , Rocha Laurelize Pereira , De Carvalho Deciane Pintanela , Tomaschewski Barlem Jamila Geri , Da Silveira Rosemary Silva , De Olveira Suelen Gonçalves
Published: August 2023

Objetivou-se investigar as condições de trabalho dos docentes do Ensino Fundamental durante a pandemia da covid-19. Estudo qualitativo, descritivo e exploratório. Participaram 44 docentes do Ensino Fundamental, por meio de entrevistas semiestruturadas na modalidade online. Empregou-se Análise Textual Discursiva. Identificou-se adaptações na estrutura e infraestrutura dos docentes e dos discentes durante esse período, dificuldades na tentativa de conciliação do trabalho com a vida privada e mudanças no processo ensino-aprendizagem.
Nipagin Türevi Yeni Hidrazonların Sentezi ve in Siliko Biyolojik Etkinliklerinin Belirlenmesi
Authors: ŞENOL Halil
Published: August 2023

Bu çalışmada nipagin’den (metil paraben, metil-4-hidroksibenzoat) hareketle yeni seçici ve düşük toksisiteye sahip potansiyel anti kanser ajanlar geliştirilmesi amacıyla arilidenhidrazid yapısında sekiz adet bileşik (4-11) sentezlendi ve bu bileşiklerin meme kanseri büyüme faktörü reseptörü olan HER2’ye karşı etkinlikleri in siliko yöntemlerle ilk defa araştırıldı. Öncelikle moleküler docking çalışmaları ile hedef bileşiklerin ilgili protein üzerindeki bağlanma skorları ve serbest bağlanma enerjileri belirlendi, daha sonra moleküler dinamik çalışmaları ile protein-ligand komplekslerinin kararlılıkları incelendi ve son olarak bileşiklerin tahmini ADME parametreleri hesaplandı. Sentezlenen bütün bileşikler 1H NMR, 13C NMR, FT-IR ve HRMS analizleri ile karakterize edildi. Moleküler doking çalışmalarının sonuçlarına göre en aktif molekülün, -10.098 kcal/mol docking skoru ve -64.97 kcal/mol serbest bağlanma enerjisine sahip bileşik Bold olduğu belirlendi. Bileşik 6-HER2 ligand-protein kompleksinin moleküler dinamik simülasyonunda simülasyon zamanının %70’i boyunca hidrojen bağı ve pi-pi staking etkileşimlerinin devam ettiği ve ligand atomlarının RMSD değerlerinin ortalamasının 2Å olduğu tespit edildi. Hedef bileşiklerin in siliko ADME parametrelerinin referans aralıklarda olduğu ve tahmini ADME sonuçlarına göre ilaç benzerliği taşıdığı görüldü. Ayrıca sonuçlar referans antikanser ilaç doksorubisinin ile karşılaştırıldı ve bazı parametrelerin doksorubisine göre daha anlamlı ve uygun olduğu tespit edildi. Sonuç olarak ilk defa bu çalışmada sentezlen bileşik Bold, meme kanserinin büyüme faktörü reseptörü olan HER2’ye karşı yapılan in siliko çalışmalara göre en iyi inhibitör adayı olabileceği belirlendi.
Domates Kabuğu Fenolikleri: Mikrodalga Destekli Ekstraksiyon Koşullarının Optimizasyonu ve Mikroenkapsülasyonu
Authors: KARAKUŞ Mehmet Şükrü , AKALAN Merve , BAŞYİĞİT Bülent , KARAASLAN Asliye , KARAASLAN Mehmet
Published: August 2023

Bu çalışma mikrodalga destekli ekstraksiyon (MDE) sistemi kullanılarak domates kabuklarından fenolik bileşiklerin ekstraksiyonunu ve elde edilen fenoliklerin püskürtmeli kurutma tekniği ile mikroenkapsülasyonunu kapsamaktadır. Bu amaçla maksimum düzeyde geri kazanım için MDE koşulları (mikrodalga gücü: 250-500 W ve ekstraksiyon süresi: 1-60 dk) yanıt yüzey metodolojisi ile optimize edilmiştir. Toplam fenolik madde miktarı (TFM) (3.58 mg GAE/g) ve antioksidan kapasite (29.85 mmol TE/g) için en yüksek değerler mikrodalga gücünün 310 W ve ekstraksiyon süresinin 35 dk olduğu noktada elde edilmiştir. Optimum koşullarda elde edilen ekstraktlara maltodekstrin (ekstraktaki suda çözünür toplam katı madde miktarının maltodekstrine oranı: 1/1 w/w) ilave edilmiş ve nihai solüsyon püskürtmeli kurutma tekniği kullanılarak toz forma dönüştürülmüştür. Mikroenkapsülasyon prosesinin başarısı fourier dönüşümlü kızılötesi spektroskopi (FTIR) ile doğrulanmıştır. Mikrokapsüller için toz verimi, nem içeriği, su aktivitesi ve çözünürlük değerleri sırasıyla %63.45, 4.18, 0.19 ve %92.34 olarak belirlenmiştir. Nihai toz ürünlerin antioksidan kapasitesi TFM miktarı (3.17 mg GAE/g), DPPH (23.10 mmol TE/g), ABTS (75.83 mmol TE/g) ve FRAP (13.95 mmol TE/g) yöntemleri ile araştırılmıştır. Elde edilen sonuçlar atık materyallerin bertaraf edilmesinin veya ekonomik değeri düşük alanlarda kullanılmasının makul bir yaklaşım olmadığını, aksine katma değerli ürünlere dönüştürülme potansiyellerini ortaya koymuştur.
Accuracy of conventional fusion algorithms for precipitation estimates across the Chinese mainland
Authors: Jiang Qin , Fan Zedong , Xu Yun , Li Weiyue , Zhang Junhao
Published: August 2023

Multi-source data-fusion approaches have been developed for estimating regional precipitation. However, studies considering the specific upper limits of the improved gridded rainfall data for different fusion approaches are limited. Here, the potential ranges of accuracy improvement for satellite and reanalysis rainfall products were addressed using various machine learning fusion approaches, including multivariate linear regression (MLR), feedforward neural network (FNN), random forest (RF), and long short-term memory (LSTM), over the Chinese mainland. All four fusion methods reduce errors in the original precipitation products. The upper limits of accuracy improvement in terms of correlation coefficient (CC) and root mean square error (RMSE) were 30.65 and 15.27%, respectively. M-RF showed the best average CC (0.828) and RMSE (4.62 mm/day) in the four seasons. LSTM performed the best under light rainfall events, whereas MLR and RF exhibited better performance under moderate and heavy rainfall events, respectively. Overall, these results serve as a basis for the fusion approach and technique selection, based on the comprehensive validation in different climate zones, altitudes, and seasons over the Chinese mainland.
An early warning method on the carrying capacity of regional groundwater resources
Authors: Ling Minhua , Chen Jiangyu , Zhang Peize , Wei Xingling , Yu Lili
Published: August 2023

Traditional studies on the carrying capacity of groundwater resources mainly focus on a comprehensive evaluation, and this paper provides quantitative prediction and early warning on the carrying capacity of groundwater resources, which is important for groundwater management and protection. This study constructed an early warning indicator system for the carrying capacity of groundwater resources, established an early warning method on the carrying capacity of groundwater resources, determined the early warning grades of Henan Province and various cities from 2023 to 2025, and analyzed the spatial distribution pattern. The results showed that the early warning grades of Henan Province from 2023 to 2025 were mild warnings. In the subsystems, the early warning grades of the groundwater resources and economic society systems were mild warnings, while the early warning grades of the ecological environment system were moderate warnings. The early warning grades of the carrying capacity of groundwater resources in all cities were basically mild or moderate warnings, showing a downward trend. This study establishes an early warning method on the carrying capacity of groundwater resources that includes the selection of early warning indicators, prediction of indicators, and determination of the early warning grades which can be a reference for other regions.
A novel approach to precipitation prediction using a coupled CEEMDAN-GRU-Transformer model with permutation entropy algorithm
Authors: Zhao Jiwei , Nie Guangzheng , Yan Meng , Wang Yaowen , Wang Luyao
Published: August 2023

The accurate forecasting of precipitation in the upper reaches of the Yellow River is imperative for enhancing water resources in both the local and broader Yellow River basin in the present and future. While many models exist for predicting precipitation by analyzing historical data, few consider the impact of different frequency sequences on model accuracy. In this study, we propose a coupled monthly precipitation prediction model that leverages the adaptive noise complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN), gated recurrent unit neural network (GRU), and attention mechanism-based transformer model. The permutation entropy (PE) algorithm is employed to partition the data processed by CEEMDAN into different frequencies, with different models utilized to predict different frequencies. The predicted results are subsequently combined to obtain the monthly precipitation prediction value. The model is applied to precipitation prediction in four regions in the upper reaches of the Yellow River and compared with other models. Evaluation results demonstrate that the CEEMDAN-GRU-Transformer model outperforms other models in predicting precipitation for these regions, with a coefficient of determination R2 greater than 0.8. These findings suggest that the proposed model provides a novel and effective method for improving the accuracy of regional medium and long-term precipitation prediction.
Fluence requirements in existing UV disinfection facilities to comply with EU validation performance targets for reclaimed water: a case study
Authors: Verónica Carabias Amaia , Gil Maria Isabel , Pérez Juan Marcos , Abellán Manuel , Rancaño Amador , José Simón Pedro , Truchado Pilar , Allende Ana
Published: August 2023

Since 2020, there is a new European Regulation (EU, 2020/741) on minimum requirements for water reuse, where routine and validation monitoring requirements (log reductions of indicator microorganisms and reference pathogens) have been established. Many reclamation facilities that are already in operation might have difficulties to comply with these performance targets. Existing disinfection systems must be expanded and upgraded. In the case of UV disinfection systems, fluence requirements must be determined to properly design with a focus on the safety and economic-environmental viability of reclaimed water. This study can be used as a reference to develop fluence-response curves for Clostridium perfringens spores, Escherichia coli, and total and F-specific coliphages, indicator microorganisms referred to in the new European Regulation. Eight UV-LED collimated beam tests were performed. Samples were obtained from filtered effluent of secondary treatment from two wastewater treatment plants (WWTPs) which ranged between 30 and 54%. Results showed UV sensitivity of 33.46 mJ/cm2 log I for C. perfringens spores and 2.86 mJ/cm2 log I for E. coli, both from environmental origin. Coliphages were inactivated below the limit of quantitation. The non-dominance of MS2 phages in environmental F-specific coliphages was observed.
La descentralización de las capacidades de ciencia, tecnología e innovación (CTi) en Colombia
Authors: Escobar Soto Jhon F. , Ramírez Guerrero Diego Fernando , Medina Diana Paola , Campo-Ceballos Diego
Published: August 2023

Introduction: The resources for Science, Technology, and Innovation (STI) in Colombia have traditionally been allocated to universities and research centers in the country's largest cities, where the majority of highly qualified researchers are located. This represents a distortion in relation to public policy criteria for balanced growth and capacity-building. Objective: The article aims to present how this distribution has traditionally been carried out by the Ministry of Science, Technology, and Innovation (Minciencias) for STI projects in the country (2014-2018), and how, through a coordinated process, it is possible to decentralize capacities by leveraging the human resources associated with the Sociedad de Doctores e Investigadores de Colombia (SoPhIC). Methodology: To achieve this, geospatial analysis and correlation techniques of competitiveness indicators, departmental category, and the Gini index were used. Results: revealed the capacity and availability of human resources, based on the services that can be offered from and for these regions. Conclusion: These findings demonstrated the possibility and necessity of decentralizing resources to efficiently harness highly qualified human resources.
Economic appraisal and strategic analysis of the onion industry in the Philippines
Authors: Domingo Arjhel V.
Published: August 2023

This research undertakes a comprehensive evaluation of the economic dynamics within the onion industry, concentrating specifically on the prolific "Onion Basket of the Philippines" and its extension throughout Southeast Asia. Employing the value chain model as a methodological scaffold, the study meticulously dissects the intricate fabric of activities within this sector, aiming to pinpoint the exact operations that confer amplified value and competitive edge to this agricultural commodity. Through a meticulous selection process encompassing 360 agrarian participants, primarily sourced from the preeminent onion-producing municipalities of Nueva Ecija—namely, Bongabon, Gabaldon, and Laur—this investigation orchestrates an exhaustive scrutiny of the financial implications and returns. By comparing analyses across both traditional post-harvest marketing and the integration of cold storage infrastructure, the study unveils pronounced differentials. Evidently, the incorporation of cold storage resources precipitates substantial revenue escalation for farmers, in stark contrast to immediate post-harvest sales. However, the accompanying capital outlay affiliated with cold storage mandates judicious deliberation. Given the considerable financial connotations, this research underscores the imperativeness of establishing rigorous regulatory frameworks governing onion cold storage practices. Furthermore, acknowledging the intricate mesh of interests embedded within the onion value chain, it advocates heightened vigilance and stringent oversight concerning stakeholders. This multifaceted investigation, beyond contributing empirical authenticity, serves as a clarion call for prudent stewardship of this pivotal agricultural domain.
Sustainable Entrepreneurship – A Dyad Case Study on Recycling
Authors: Hazarika Gyandeep , Salunke Parth , Wadhwani Ketan , Sen Kasturi
Published: August 2023

Khadi phrase reminds us of the freedom struggle, it brings the picture of Charkha and Mahatma Gandhi to our minds. Khadi is not only a few random cloth, it performed a prime position in India’s independence have become an image of self-reliance for the Indian pleasure. Hand spinning has been acknowledged to Indians for hundreds of years however Gandhi revived India’s flagging khadi enterprise, he made the material the image of swadeshi. He advocated humans throughout the country to boycott British made fabric, spin their own yarn and sport khadi. Nearly after more than seventy years of freedom, khadi maintains to amaze human beings around the world and promoting sustainable style. It acquired a higher degree of interest from the fashion enterprise. The present study takes a look at khadi as a signature material of Gandhi and its place in the independence war. It exhibits that khadi material is an image of freedom that experiences the India’s historic weaves, but embraces modern-day India to discover its relevance. The study, at additionally, investigates the growth of the Khadi and Village Industries (KVI) and propose the policy suggestion for the future improvement.
Assessing Health Students' Attitudes and Usage of ChatGPT in Jordan: Validation Study
Authors: Sallam Malik , Salim Nesreen A , Barakat Muna , Al-Mahzoum Kholoud , Al-Tammemi Ala'a B , Malaeb Diana , Hallit Rabih , Hallit Souheil
Published: August 2023

Background

ChatGPT is a conversational large language model that has the potential to revolutionize knowledge acquisition. However, the impact of this technology on the quality of education is still unknown considering the risks and concerns surrounding ChatGPT use. Therefore, it is necessary to assess the usability and acceptability of this promising tool. As an innovative technology, the intention to use ChatGPT can be studied in the context of the technology acceptance model (TAM).

Objective

This study aimed to develop and validate a TAM-based survey instrument called TAME-ChatGPT (Technology Acceptance Model Edited to Assess ChatGPT Adoption) that could be employed to examine the successful integration and use of ChatGPT in health care education.

Methods

The survey tool was created based on the TAM framework. It comprised 13 items for participants who heard of ChatGPT but did not use it and 23 items for participants who used ChatGPT. Using a convenient sampling approach, the survey link was circulated electronically among university students between February and March 2023. Exploratory factor analysis (EFA) was used to assess the construct validity of the survey instrument.

Results

The final sample comprised 458 respondents, the majority among them undergraduate students (n=442, 96.5%). Only 109 (23.8%) respondents had heard of ChatGPT prior to participation and only 55 (11.3%) self-reported ChatGPT use before the study. EFA analysis on the attitude and usage scales showed significant Bartlett tests of sphericity scores (P<.001) and adequate Kaiser-Meyer-Olkin measures (0.823 for the attitude scale and 0.702 for the usage scale), confirming the factorability of the correlation matrices. The EFA showed that 3 constructs explained a cumulative total of 69.3% variance in the attitude scale, and these subscales represented perceived risks, attitude to technology/social influence, and anxiety. For the ChatGPT usage scale, EFA showed that 4 constructs explained a cumulative total of 72% variance in the data and comprised the perceived usefulness, perceived risks, perceived ease of use, and behavior/cognitive factors. All the ChatGPT attitude and usage subscales showed good reliability with Cronbach α values >.78 for all the deduced subscales.

Conclusions

The TAME-ChatGPT demonstrated good reliability, validity, and usefulness in assessing health care students’ attitudes toward ChatGPT. The findings highlighted the importance of considering risk perceptions, usefulness, ease of use, attitudes toward technology, and behavioral factors when adopting ChatGPT as a tool in health care education. This information can aid the stakeholders in creating strategies to support the optimal and ethical use of ChatGPT and to identify the potential challenges hindering its successful implementation. Future research is recommended to guide the effective adoption of ChatGPT in health care education.
The Need for a Bleed Type–Specific Annual Bleeding Rate in Hemophilia Studies (Preprint)
Authors: Huang Kun
Published: August 2023

UNSTRUCTURED
The Impact of Extremely-Low-Volume High-Intensity Interval Training on uscle Activation in the Upper Extremities: Im-plications for Exergaming Strategies (Preprint)
Authors: Lin Shu-Cheng , Li Jing-Yu , Fang Hsiao-Lin , Fang Chu-Chun , Hou Tien-Hung
Published: August 2023

UNSTRUCTURED

Extremely-low-volume high-intensity interval training (ELVHIIT) has become a popular exercise strategy in modern society, with the TABATA training method being the most popular. In the past, these training methods were mostly done without equipment, but incorporating exergaming into the training may provide a new option for muscle training. The purpose of this study was to investigate the differences in muscle activation in the upper extremities between ELVHIIT used in exergaming strategies and traditional bodyweight exercise. Fifteen healthy males were recruited for the study, and the differences in muscle activation were compared between bodyweight exercises (push-ups) and exergaming (Nintendo Switch Ring-Con) during ELVHIIT. Prior to the tests, participants underwent pre-tests, including maximal voluntary contractions (MVCs) of various muscle groups, maximal push-up tests, and maximal movement tests using the exergaming device. The push-up and exergaming tests were conducted on separate days to avoid interference, with a warm-up period of five minutes on a treadmill before testing. Muscle activation in the middle and anterior portions of the deltoid muscle, the sternocostal and clavicular portions of the pectoralis major muscle, and the latissimus dorsi muscle were measured during the MVC and single-round tests for each exercise mode. An independent sample t-test was used to compare the differences in muscle activation between the two exercise modes (push-ups and exergaming). Results: 1. The number of repetitions in the push-up exercise was significantly lower than that of the single-part exercise in the exergaming strategy, whether in the exhaustive training or single-round training; 2. There was no significant difference in heart rate between push-up exercise and exergaming strategy in both exhaustive training and single-round training, and the exergaming strategy had better muscle activation in the upper extremities for a single body part. In conclusion, ELVHIIT can increase muscle activation in the upper extremities and can be incorporated into exergaming strategies to provide a fun and engaging way to exercise.
Analysis of Land Use Evolution of Suzhou Wetlands Based on RS and GIS
Authors: Xu Lirong , Wang Ruei-Yuan , Zhu Zhe
Published: August 2023

The purpose of this study is to analyze the land use evolution and characteristics of Suzhou wetlands. Located in the Taihu Lake basin, Suzhou has abundant wetland resources, covering 339,500 hectares and accounting for 40% of the land area. The huge wetlands have high environmental and ecological indicators. With the support of RS and GIS technology, Landsat OLI 30 m remote sensing images, vector data, 30 m DEM, and other data are used. Through analysis and processing, land use type maps, wetland distribution maps, and research area overview maps are generated, and their land use area, dynamic degree, and transfer matrix are calculated. The results show that from 2013 to 2020, the total area of Suzhou wetlands showed a decreasing trend, with a total change of -8.77%. In the past seven years, Suzhou's urban construction rate has been relatively fast, and the main supply sources of construction land were lakes, mudflats, wetlands, and woodlands. Based on this, the impact of economic development and construction on the protection of environmental ecology should be emphasized and implemented in wetland management and protection strategies in order to promote sustainable environmental development.
A Review on English Homework Design in Compulsory Education under the “Double Reduction” Policy
Authors: Zhixin Wu , Yi Peng
Published: August 2023

In 2021, Chinese authorities introduced a set of guidelines to ease the burden of excessive homework and off-campus tutoring for students undergoing compulsory education (the “Double Reduction” policy). As an effective extension of classroom teaching, homework can promote the development of students' personality and core literacy. Research on homework at home and abroad is mainly based on empirical studies, and under the policy of “Double reduction”, this article reviews domestic and foreign researches on English homework design in compulsory education, focusing on the design and correction of homework, homework teaching, homework reduction, and homework reform. And homework research tends to shift from intellectual education to moral education.
Design and Modification of Oil Skimmer
Authors: Patil Chandrakant Balvant
Published: August 2023

Abstract: Today, all manufacturing companies need to minimize the effect of waste water in the farm and human health. It is depending on removing the oil and grease from the water. The Dr. Naganath Anna Nayakavadi H.K.A. Sugar factory placed Walwa. about E.T.P. section where worker removes oil manually and he told about scrap oil skimmer. Before scrap the oil skimmer it working but it problem when which is can not continuous remove oil from water and machine problem is that while the oil skimmer is not work properly Sum percentage of oil also goes on E.T.P section. When in the E.T.P they change the P.H value. They also effect on the farm. We have decided the make the arrangement at a time two oil skimmers run one motor.
RELASI MAKNA SINONIMI DAN ANTONIMI DALAM CERPEN WAJH AL-HAQIQOH KARYA TAUFIK AL-HAKIM
Authors: Fika Fika Azlia Salsabila , Ika Selviana
Published: August 2023

Dalam kajian lingusitik relasi makna mencakup antonim, sinonim, dan polisemi. Pada praktiknya para pakar linguistik masih memperdebatkan terkait pro dan kontra sinonim dan antonim. Hal yang diperdebatkan ialah terkait apakah makna tersebut merupakan makna yang sama atau hanya turunan sifat semata. Penulis menggunakan metode kualitatif deskrpitif . Penulis juga menggunakan teknik simak catat dalam pengumpulan data, di mana peneliti membaca keseluruhan cerita kemudian mencatat dan menandai kata atau penggalan yang mengandung unsur relasi makna. Pada penelitian ini penulis menggunakan teknik analisis data yang berfokus pada penggunakan teknik padan dalam cerpen. Setelah menggunakan metode tersebut peneliti menemukan bentuk sinonim pada penggalan “diriku sempat tercengang saat ketika waktu malam telah tiba menghadang. Setelah datangnya sang istri ruangan samping sunyi senyap tak ada suara”. Kata sunyi dan senyap terklasifikasi ke dalam bentuk sinonim semirip. Sedangkan pada penggalan “Pada akhirnya, hingga kesekian kalinya diriku tak bisa membedakan mana batas-batas antara dunia realita, dan dunia imajinasi”. Kata realtita dan imajinasi merupakan bentuk makna yang berlawanan atau bentuk antonim oposisi kutub. Di mana realita bermakna dunia atau keadaan yang bersifa nyata. Sedangkan imajinasi merupakan keadaan yang hanya ada dalam pikiran serta bayang-bayang manusia belaka. Dua kata tersebut berlawanan secara makna.

 

Kata Kunci: Sinonim; Antonim; Cerpen
Anti-Obesity Effect of Ethanolic Extract of Citrus Paradisi and Naringin in HFDInduced Animal Model
Authors: R. Roghini Dr.
Published: August 2023

The study aimed to assess the effectiveness of Citrus paradisi, and Naringin on high fat diet rats.It must be clarified thatthe correlation between body fat and dietary fat levels, long-term energy intake and expenditure imbalances causes Obesity. Animalmodels have made a significant historical contribution to our understanding of the underlying variables that control the elementsof human energy balance. studies have shown that genetics considerably affect how the body reacts to meals high in fat-derivedenergy. Five sets of six male Wistar rats (120–150g); each group had five animals. Group I (Control), Group II (High Fat Diet),Group III (HFD+Naringin (100mg/kg body weight)), Group IV (HFD + Citrus paradise (500mg/kg body weight), and Group V (HFD+21.67mg/kg body weight) are the study groups (drug control). Physical factors such as body weight, organ weight, fat pad weight,and anthropometric parameters were assessed after introducing a high-fat diet. In addition, serum lipid profiles, glucose, insulin,leptin, and adiponectin levels, among other biochemical indicators, were analyzed. These outcomes would empower Citrus Paradiseand Naringin to be utilized as anti-obesity agents. Haemotoxylin and eosin staining was used to detect histopathological alterationsin adipose tissue. The effect of Citrus paradisi and Naringin treated with HFD-induced animals showed significantly higher (p<0.001*).It was observed by its action in reducing organ weight, blood weight, and serum lipids. This current study evaluated the evidencefor Citrus Paradise's effects on body weight, blood pressure, and lipid profile.
STRATEGI PARENTAL MEDIATION MEMPENGARUHI TINGKAT SELF DISCLOSURE REMAJA KEPADA ORANG TUA TERKAIT PENGGUNAAN MEDIA SOSIAL?
Authors: Yuliani Resti , Amenike Diny , Murni Arina Widya
Published: August 2023

Penelitian ini bertujuan untuk melihat pengaruh masing-masing strategi parental mediation terhadap self disclosure remaja kepada orang tua terkait penggunaan media sosial. Metode penelitian yang digunakan dalam penelitian ini ialah metode kuantitatif berupa analisis regresi linear berganda. Responden dalam penelitian ini berjumlah 210 remaja berusia 11-15 tahun dengan menggunakan teknik purposive sampling. Pengumpulan data dilakukan dengan menggunakan modifikasi alat ukur Perceived Parental Media Mediation (α= .804) dan kontruksi alat ukur self disclosure (α= .867). Hasil penelitian ini menunjukkan bahwa terdapat pengaruh yang signifikan dari masing-masing strategi active parental mediation dan strategi restrictive parental mediation terhadap self disclosure remaja kepada orang tua terkait penggunaan media sosial. Hal ini dapat dilihat dari hasil analisis regresi berganda dengan koefisien regresi  2.403 dan -.809.
ITEM ANALYSIS FOR GRATITUDE QUESTIONNAIRE 6 ITEMS (CQ-6)
Authors: Moningka Clara , Soewastika Annisa Windi
Published: August 2023

Gratitude is an important part of human life that can affect many things. In this study, the researcher analyzed the GQ6 (Gratitude Questionnaire-six items) from Emmons, et.al which consists of four facets and is measured by six items. This scale measures the extent to which individuals feel grateful in terms of intensity, density, span, and frequency. This research involved 300 respondents who are residents of the greater areas of Jakarta. Reliability testing was carried out with Cronbach's alpha. The results of this study indicate that gratitude or GQ6 meets construct validity.