Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced Deep Deterministic Policy Gradient Algorithm Using Grey Wolf Optimizer for Continuous Control Tasks

Deep Reinforcement Learning (DRL) allows agents to make decisions in a specific environment based on a reward function, without prior knowledge. Adapting hyperparameters significantly impacts the learning process and time. Precise estimation of hyperparameters during DRL training poses a major challenge. To tackle this problem, this study utilizes Grey Wolf Optimization (GWO), a metaheuristic algorithm, to optimize the hyperparameters of the Deep Deterministic Policy Gradient (DDPG) algorithm for achieving optimal control strategy in two simulated Gymnasium environments provided by OpenAI. The ability to adapt hyperparameters accurately contributes to faster convergence and enhanced learning, ultimately leading to more efficient control strategies. The proposed DDPG-GWO algorithm is evaluated in the 2DRobot and MountainCarContinuous simulation environments, chosen for their ease of implementation. Our experimental results reveal that optimizing the hyperparameters of the DDPG using the GWO algorithm in the Gymnasium environments maximizes the total rewards during testing episodes while ensuring the stability of the learning policy. This is evident in comparing our proposed DDPG-GWO agent with optimized hyperparameters and the original DDPG. In the 2DRobot environment, the original DDPG had rewards ranging from −150 to −50, whereas, in the proposed DDPG-GWO, they ranged from −100 to 100 with a running average between 1 and 800 across 892 episodes. In the MountainCarContinuous environment, the original DDPG struggled with negative rewards, while the proposed DDPG-GWO achieved rewards between 20 and 80 over 218 episodes with a total of 490 timesteps.
Towards a Stakeholder-Based Map on Parental Participation in Genoese School Life

The aim of this article is to examine the partnership among home, school and community from a micro-sociological point of view deepening the concept of parental involvement in school life from the stakeholder standpoint. Qualitative approach has been adopted. Secondary-source data have been collected on the institutional background and the field research included interviews on a selected non probabilistic sample composed by parents, teachers, experts, school heads, decision-makers and members of parental associations from the Genoese community. In addition to interviews, participant observation of formal and non formal meetings between parents and teachers and principals has been undertaken in some primary and middle schools of Genoa. The main findings are presented in the form of descriptive analysis, illustrating the perceptions of several stakeholders interviewed. Although they are not representative of the whole population, they proved to be helpful to map the dimensions of parental involvement in school life.
Klasifikasi Motif Songket Palembang menggunakan Support Vector Machine berdasarkan Histogram of Oriented Gradients

Songket Palembang merupakan salah satu warisan budaya takbenda dengan domain kemahiran dan kerajinan tradisional. Songket Palembang memiliki beberapa jenis motif antara lain Bunga Cina, Cantik Manis, dan Pulir. Upaya pelestarian dilakukan dengan memberikan pemahaman tentang motif songket palembang. Pada penelitian ini dilakukan pengklasifikasian motif songket Palembang berdasarkan fitur bentuk dengan menggunakan metode Histogram of Oriented Gradient (HOG). Berdasarkan hasil pengujian terhadap 45 citra data uji, bahwa metode HOG mampu menjadi fitur dalam klasifikasi citra motif Songket Palembang, yaitu motif Bunga Cina, Cantik Manis, dan Pulir. Metode Support Vector Machine (SVM) digunakan sebagai metode klasifikasi yang dapat mengenali motif Songket Palembang dengan kernel RBF, Linier dan Polinomial. Hasil pengujian menunjukkan bahwa kernel RBF menjadi kernel terbaik yang menghasilkan rata-rata nilai accuracy sebesar 88.1%, precision sebesar 84.1%, recall sebesar 82.2% dan f1-score sebesar 82.6% serta dari tiga motif songket Palembang yang diuji didapatkan hasil bahwa motif Songket Palembang yang paling mudah diklasifikasikan dengan baik adalah motif Cantik Manis untuk semua jenis kernel SVM.
The validity and reliability of culturally responsive leadership practice instruments in small schools peninsular Malaysia

A culturally responsive leadership instrument was developed to determine the level of culturally responsive leadership practice of headmasters in small schools in Peninsular Malaysia. This study was conducted in Perak and Negeri Sembilan to determine the instrument’s reliability and validity. Exploratory factor analysis (EFA) and item reliability analysis were used to determine the questionnaire’s reliability and validity. Next, the average congruence percentage (ACP) is used to determine the reliability test between expert assessors. Experts approved the validity and reliability of the instrument before the EFA test was conducted. All four constructs have high-reliability index values between 0.88–0.93. Next, the EFA analysis shows four dimensions in the culturally responsive leadership instrument with factor loadings ranging from 0.62–0.88. The findings also show that the variance explained in the data is 65.16% with an eigenvalue greater than 1. This result showed that all items are received with high approval. In addition, the reliability coefficient α=0.93 is very high. The results prove that this culturally responsive leadership instrument has high validity and reliability and can measure the level of culturally responsive leadership implementation practices in small schools in Peninsular Malaysia.
Spectrophotometric Determination of Tetracycline by Coupling with Diazotised 4-Aminoantipyrine in Presence of Cetylpyridinium Chloride

ABSTRACT A spectrophotometric method for the determination of microgram amounts of tetracycline -HCl(TCH) has been proposed. The method is based on coupling of tetracycline-HCl with diazotized 4-aminoantipyrine in presence of cetylpyridinium chloride in alkaline medium. The molar absorptivity of the formed dye reached to 1.92×10 l.mol. cm at 537 nm and Beers law is obeyed within the range of 10-300 μg of tetracycline-HCl /10 ml (i.e.1.0 – 30 ppm). The colour reaction was highly stable, a relative error ranged from 2.5 to + 0.21 % and a relative standard deviation of ± 0.37 to ± 0.73 %, depending on concentration level of tetracycline-HCl. The proposed method has been applied successfully to the determination of tetracycline-HCl in pharmaceutical preparations.
Gene Family Expansion during the Adaptation of Colletotrichum gloeosporioides to Woody Plants

Gene gains/losses during evolution are critical for the adaptation of organisms to new environments or hosts. However, it remains unknown whether gene family expansions facilitated the adaptation of phytopathogenic fungi to woody plants. In this study, we compared the newly sequenced genome of the Colletotrichum gloeosporioides strain CFCC80308 with the genomes of two other C. gloeosporioides strains, Cg-14 and Lc-1, isolated from Persea americana and Liriodendron leaves, respectively. The genes in the expanded families, which were associated with plant surface signal recognition, encoded various proteins, including glycosyde hydrolases (GHs) and cytochrome P450. Interestingly, there was a substantial increase in the number of GH family genes in CFCC80308. Specifically, there were 368 enriched genes in the GH families (e.g., GH1, GH3, GH10, GH12, GH15, GH16, GH17, GH18, GH25, GH32, GH53, GH61, GH76, and GH81); the expression levels of these genes were highly up-regulated during the infection of poplar trees. Additionally, the GH17 family was larger in CFCC80308 than in C. gloeosporioides strains Cg-14 and Lc-1. Furthermore, the expansion of the MP65-encoding gene family during the adaptation of Colletotrichum species to woody plants was consistent with the importance of gene gains/losses for the adaptation of organisms to their environments. This study has clarified how C. gloeosporioides adapted to woody plants during evolution.
SFF-DA: Spatiotemporal Feature Fusion for Nonintrusively Detecting Anxiety

The early detection of anxiety disorders is crucial in mitigating distress and enhancing outcomes for individuals with mental disorders. Deep learning methods and traditional machine learning approaches are both used for the early screening of mental disorders, particularly those with anxiety symptoms. These methods excel at extracting spatiotemporal features associated with mental disorders; however, they often overlook potential interrelationships among these features. Furthermore, the effectiveness of the existing methods is hindered by disparities in the quality of subject data collected in nonlaboratory settings, limited data sample sizes, and other factors. Therefore, we propose a nonintrusive anxiety detection framework based on spatiotemporal feature fusion. Within this framework, spatiotemporal features are extracted from physiological and behavioral data through a shared feature extraction network. In addition, we design a few-shot learning architecture to compute the coupling of fused spatiotemporal features, assessing the similarity of various feature types within sample pairs. Furthermore, joint training strategies applied within the framework significantly enhance the performance of classification performance. We validate the performance of our framework through experiments with a real-world seafarer dataset. The experimental results unequivocally demonstrate that our framework outperforms comparative approaches.
Hydroeconomic modeling of sustainable groundwater management

In 2014, California passed legislation requiring the sustainable management of critically overdrafted groundwater basins, located primarily in the Central Valley agricultural region. Hydroeconomic modeling of the agricultural economy, groundwater, and surface water systems is critically important to simulate potential transition paths to sustainable management of the basins. The requirement for sustainable groundwater use by 2040 is mandated for many overdrafted groundwater basins that are decoupled from environmental and river flow effects. We argue that, for such cases, a modeling approach that integrates a biophysical response function from a hydrologic model into an economic model of groundwater use is preferable to embedding an economic response function in a complex hydrologic model as is more commonly done. Using this preferred approach, we develop a dynamic hydroeconomic model for the Kings and Tulare Lake subbasins of California and evaluate three groundwater management institutions—open access, perfect foresight, and managed pumping. We quantify the costs and benefits of sustainable groundwater management, including energy pumping savings, drought reserve values, and avoided capital costs. Our analysis finds that, for basins that are severely depleted, losses in crop net revenue are offset by the benefits of energy savings, drought reserve value, and avoided capital costs. This finding provides an empirical counterexample to the Gisser and Sanchez Effect.
Satellite Observation of Biomass Burning Implications in Global Change Research

Biomass burning, which involves wildland fires as well as agricultural and grassland burnings, plays a critical role in the environmental equilibrium of our planet, since it is a major driving force in land cover transformations and contributes significantly to greenhouse gas emissions. Several satellite missions provide critical information required to better understand the temporal and spatial distribution of biomass burning. Satellite images provide objective and comprehensive informa- tion on global patterns of fire occurrence, as well as data on factors affecting fire ignition and propagation. Recent improvements in spatial, temporal, and spectral resolution of satellite remote sensing systems reduce past uncertainties - systems can now be used to obtain a more precise evaluation of burned areas and post-fire effects on soils and plants. Greater efforts are required to operationally use Earth Observation data in fire prevention and early warning. Longer time series data are required to acquire a better understanding of fire regimes, and their mutual relation- ships with global warming.
Influence of the Apelinergic System on Conduction Disorders in Patients after Myocardial Infarction

Background: There is a growing body of evidence for an important role of the apelinergic system in the modulation of cardiovascular homeostasis. The aim of our study was to (1) examine the relationship between apelin serum concentration at index myocardial infarction (MI) and atrioventricular conduction disorders (AVCDs) at 12-month follow-up, and (2) investigate the association between initial apelin concentration and the novel marker of post-MI scar (Q/QRS ratio) at follow-up. Methods: In 84 patients with MI with complete revascularization, apelin peptide serum concentrations for apelin-13, apelin-17, elabela (ELA) and apelin receptor (APJ) were measured on day one of hospitalization; at 12-month follow-up, 54 of them underwent thorough examination that included 12-lead electrocardiography (ECG), Holter ECG monitoring and echocardiography. Results: The mean age was 58.9 years. At 12-month follow-up, AVCDs were diagnosed in 21.4% of subjects, with AV first-degree block in 16.7% and sinoatrial arrest in 3.7%. ELA serum concentration at index MI correlated positively with the occurrence of AVCD (p = 0.003) and heart rate (p = 0.005) at 12-month follow-up. The apelin-13 serum concentration at index MI correlated negatively with the Q/QRS ratio. Conclusions: The apelin peptide concentration during an acute phase of MI impacts the development of AVCD and the value of Q/QRS ratio in MI survivors.
Bid Rents of Spatial Interaction Model With Land Use in the Munich Region

EnglishThe calibrated of bid rents of spatial interaction models can be very useful spatial economic indicators. The paper shows that the bid rents of the spatial interaction model calibrated for the Munich Region are strongly related to the prices of land. Being so, it is possible to evaluate the impacts of changes in exogenous variables such as the basic employment, the accessibility and the available urban area, not only on the commuting and shopping movements between the zones of the spatial interaction model, on population and on employment but also changes in land values. portuguesA calibracao das bid rents dos modelos de interacao espacial podem ser indicadores importantes da economia regional. Este artigo mostra que as bid rents calibradas para um modelo de interacao espacial aplicado a Regiao de Munique esta fortemente relacionado com os precos da terra. Sendo assim e possivel avaliar os impactos das alteracoes no emprego basico, na acessibilidade e na disponibilidade de solo nao so nos movimentos residencia emprego e residencia servicos entre as zonas do modelo de interacao espacial, a populacao e o emprego mas tambem as alteracoes nos precos do solo.
Ticagrelor or prasugrel vs. clopidogrel in patients with atrial fibrillation undergoing percutaneous coronary intervention for myocardial infarction

Abstract Aims The efficacy and safety of ticagrelor or prasugrel vs. clopidogrel in patients with atrial fibrillation (AF) on oral anticoagulation (OAC) undergoing percutaneous coronary intervention (PCI) for myocardial infarction (MI) have not been established. Methods and results This was a nationwide cohort study of patients on OAC for AF who underwent PCI for MI from 2011 through 2019 and were prescribed a P2Y12 inhibitor at discharge. The primary efficacy outcome was major adverse cardiovascular events (MACE), defined as a composite of death from any cause, stroke, recurrent MI, or repeat revascularization. The primary safety outcome was cerebral, gastrointestinal, or urogenital bleeding requiring hospitalization. Absolute and relative risks for outcomes at 1 year were calculated through multivariable logistic regression with average treatment effect modelling. Outcomes were standardized for the individual components of the CHA2DS2-VASc and HAS-BLED scores as well as type of OAC, aspirin, and proton pump inhibitor use. We included 2259 patients of whom 1918 (84.9%) were prescribed clopidogrel and 341 (15.1%) ticagrelor or prasugrel. The standardized risk of MACE was significantly lower in the ticagrelor or prasugrel group compared with the clopidogrel group (standardized absolute risk, 16.3% vs. 19.4%; relative risk, 0.84, 95% confidence interval, 0.70–0.98; P = 0.02), while the risk of bleeding did not differ (standardized absolute risk, 5.5% vs. 5.1%; relative risk, 1.07, 95% confidence interval, 0.73–1.41; P = 0.69). Conclusion In patients with AF on OAC who underwent PCI for MI, treatment with ticagrelor or prasugrel vs. clopidogrel was associated with reduced ischaemic risk, without a concomitantly increased bleeding risk.
Selection of a Suitable Waste to Energy Technology for Greater Beirut Area Using the Analytic Hierarchy Process

Waste to Energy (WtE) is becoming an interesting option for many countries as an effective waste management solution. The goal of this study is the selection of a suitable WtE technology for the treatment of municipal solid waste in Greater Beirut Area (GBA). In adopting a potential WtE technology for solid waste treatment in GBA, the protection of the environment and citizens health is mandatory, but it is also evident the pressing need for economically feasible new electrical energy sources. For a well and an efficient functioning of a WtE plant, an appropriate supply chain system of municipal solid waste should be guaranteed. The selection of a suitable WtE technology is a complex decision and to achieve the stated objective the Analytic Hierarchy Process (AHP) method was employed and experts in the waste management sector were consulted to formulate the model. AHP analysis was performed using SpiceLogic software. Results indicate that Composting is the best choice with a global score of 0.33, followed by Anaerobic Digestion which acquired 0.21 and Incineration ranked as the third preferred technology obtaining 0.14. A sensitivity analysis was conducted to ensure the results consistency, assessing the reliability of the experts’ judgments.
Distribution of available nitrogen forms in soil under Quilombola management systems in Brazilian Cerrado phytophysiognomies

: Management of Quilombola systems are primitive agricultural systems based on the ancestral knowledge of Afro-Brazilian enslaved people . Here, the aim was to understand the impact of these primitive farming methods on the distribution of available nitrogen (N) forms in the soil profile of two Brazilian Cerrado phytophysiognomies. The soil was sampled in Cerradão (high Cerrado) and Cerrado Stricto sensu (low Cerrado) at six soil depths (0-10, 10-20, 20-30, 30-40, 40-50, and 50-60 cm). The following management systems were considered: pasture (PP1 and PP2), maize cultivation (M1 and M2), citrus-cassava intercropping (T1), and citrus monoculture (T2). In addition, the soil was sampled in the native area of Cerradão (NC1) and Cerrado Stricto sensu (NC2). Three N forms were determined: i) available nitrogen (Av-N), ii) ammonium (NH 4+ -N) and iii) nitrate (NO 3– -N) contents. The Av-N content decreased with increasing soil depth only in NC1 and NC2. The NO 3– -N content was similar at all soil depths for maize and pasture, while the content decreased at soil depth for NC1, NC2, and T1. NH 4+ -N was similar in M2 and PP2, but it increased in T2, ranging from 6.17 mg kg –1 to 17.54 mg kg –1 . Overall, the dynamics of available N forms varied according to the Cerrado phytophysiognomy and the management systems and NO 3– -N was the most constant N form in the soil profile. Therefore, although the management of Quilombola systems is less intensive, they negatively affect the dynamics and N availability, mainly where management is less conservative, that is, in maize and citrus monocultures.
A Study of the Impact of Digital Competence and Organizational Agility on Green Innovation Performance of Manufacturing Firms—The Moderating Effect Based on Knowledge Inertia

Hierarchical regression is used to empirically investigate the impact of digital capabilities on green innovation performance, as well as the mediating role of organizational agility and the moderating effect of knowledge inertia. Based on the data from a large sample of 383 middle and senior managers from manufacturing companies, the dynamic capability theory is applied to SPSS 27.0. The results show that digital capability contributes to green innovation performance; knowledge inertia moderates the inverted U-shape between digital capability and green innovation performance; and two dimensions of organizational agility, market agility and operational adjustment agility, partially mediate the relationship between digital capability and green innovation performance. This paper contributes new ideas for companies to develop organizational agility, control knowledge inertia, enhance green innovation performance, and finally, sustainably gain a competitive advantage position.
A Nonlinear Approach to the Analysis of the Financial Innovation-Money Demand Nexus in Nigeria

This study examines the asymmetric roles of financial innovation in the money demand function in Nigeria using annual data over the period 1981-2020. This is with a view to providing insight into how changes in financial innovation have contributed to the level and stability of the money demand function. The study questions the fundamental assumption of the existing literature that growing trends in financial innovation have symmetric or linear effects on the country’s money demand. Hence, it adopts the nonlinear autoregressive distributed lag (NARDL) with bounds testing procedure together with the cumulative sum of recursive as well as the cumulative sum of squares of recursive residuals tests. Results show that the link between financial innovation and money demand is asymmetric and that of the two partial sum variables, only positive changes in financial innovation have significant effects with the sign being positive in both the short run and long run. This shows that assumptions of linearity and no asymmetric structure reported in extant studies for financial innovation are somewhat misleading. Findings also confirm the stability of demand for money in Nigeria on account of the introduction of asymmetric effects of financial innovation. The study concludes that the financial innovation-money demand nexus is asymmetric and that there is stability in the country’s money demand function once asymmetry or nonlinearity is captured in the nexus. Therefore, it recommends the need for monetary authorities to pay attention to positive changes in financial innovation when policies on money demand are formulated for the purpose of enhancing the effectiveness and reliability of monetary policy as a tool for stabilising the economy.
GeoPark Araripe e a geodiversidade do sul do Estado do Ceará, Brasil

Componente da Rede Global de Geoparques da UNESCO (Organização das Nações Unidas para a Educação, Ciência e Cultura), o GeoPark Araripe apresenta uma notável geodiversidade no seu conjunto de 9 (nove) geossítios abertos para visitação pública. Essa geodiversidade reflete uma história geológica-geomorfológica antiga e significativa, a qual coaduna com eventos importantes da história natural do planeta Terra. Buscando promover a conservação desse patrimônio natural, o GeoPark Araripe fomenta a utilização conservacionista dos seus geossítios em consonância com o desenvolvimento socioeconômico sustentável das comunidades locais, sobretudo, aquelas situadas nas proximidades dos geossítios. Para isso, o território dos 6 municípios que o compõem são objeto de estratégias de geoconservação que devem considerar as particularidades regionais e a riqueza cultural do Cariri cearense (histórica, antropológica, arqueológica e artística), notadamente, o geoturismo e a geoeducação. O objetivo principal deste artigo é apresentar a geodiversidade da região sul do Estado do Ceará, o Cariri cearense, mais precisamente os geossítios do GeoPark Araripe.