Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparing different methods for the estimation of interbank intraday yield curves

In this paper, we compare three different models, namely the Nelson- Siegel model, the Svensson model and the Diebold- Li model, for the estimation of an intraday yield curve on the Italian interbank credit market e-MID. Using a sample which spans from October 2005 until March 2010, the first important finding is that all three models are highly suitable for the estimation of an intraday yield curve providing superior empirical results when compared with similar works on e-MID. The second important finding is that, based on different in sample statistics, the Svensson model dominates the other two models before, during and after the financial crisis from 2007. Moreover, the Nelson- Siegel model seems to dominate the Diebold- Li model although these differences in goodness-of-fit between these two models may not be statistically significant.
Sustainable Development in the Cameron Highlands, Malaysia

This paper examines the progress and prospects for sustainable development in the Cameron Highlands, Peninsular Malaysia, focusing especially on agriculture. Vegetable, flower and fruit production in the Highlands have caused extensive forest clearance and the excavation of valley sides and floors. This causes loss of biodiversity, unstable ground that is liable to landslide, soil erosion and agrochemical pollution of streams. Unsustainable agriculture has severe impacts on the Cameron Highlands environment, wildlife, tourism, and local people’s well being, and its effects are felt further afield, especially through the degradation of quality and quantity of water supplies which flow to surrounding lowlands. The silting of streams and reservoirs also increases the risk of flood damage. Because impacts will be felt across broad swathes of the lowlands it is in the interests of the federal government and surrounding states to invest in Cameron Highlands improvements. The new highway from Ipoh, opened in 2003, is likely to prompt further horticultural development in once remote parts of the Cameron Highlands. There are opportunities to develop sustainable agriculture and to integrate it with tourism development and the improvement of local people’s livelihoods, including indigenous peoples. These opportunities should be grasped before it is too late. ABSTRAK
Reversible inhibition of the basal ganglia prolongs repetitive vocalization but only weakly affects sequencing at branch points in songbirds

Abstract Although vocal signals, including languages and songbird syllables, are composed of a finite number of acoustic elements, diverse vocal sequences are composed of a combination of these elements, which are linked together by syntactic rules. However, the neural basis of syntactic vocalization generation remains poorly understood. Here, we report that inhibition using tetrodotoxin (TTX) and manipulations of gamma-aminobutyric acid (GABA) receptors within the basal ganglia Area X or lateral magnocellular nucleus of the anterior neostriatum (LMAN) alter and prolong repetitive vocalization in Bengalese finches (Lonchura striata var. domestica). These results suggest that repetitive vocalizations are modulated by the basal ganglia and not solely by higher motor cortical neurons. These data highlight the importance of neural circuits, including the basal ganglia, in the production of stereotyped repetitive vocalizations and demonstrate that dynamic disturbances within the basal ganglia circuitry can differentially affect the repetitive temporal features of songs.
Sex Differences in Prognosis of Heart Failure Due to Ischemic and Nonischemic Cardiomyopathy

Background: Limited research has explored sex-specific differences in death predictors of HF patients with ischemic (iCMP) and nonischemic (niCMP) cardiomyopathy. This study assessed sex differences in niCMP and iCMP prognosis. Methods: We studied 7487 patients with HF between February 2017 and September 2020. Clinical features and echocardiographic findings were collected. We used Kaplan–Meier, Cox proportional hazard models, and chi-square scores of Cox regression to determine death predictors in women and men. Results: The mean age was 64.3 ± 14.2 years, with 4417 (59%) males. Women with iCMP and niCMP exhibited a significantly higher mean age, higher mean left ventricular ejection fraction, and smaller left ventricular diastolic diameter than men. Over 2.26 years of follow-up, 325 (14.7%) women and 420 (15.7%) men, and 211 women (24.5%) and 519 men (29.8%) with niCMP (p = NS) and iCMP (p = 0.004), respectively, died. The cumulative incidence of death was higher in men with iCMP (log-rank p < 0.0001) but similar with niCMP. Cox regression showed chronic kidney disease, diabetes, stroke, atrial fibrillation, age, and myocardial infarction as the main predictors of death for iCMP in women and men. Conclusions: Women exhibited a better prognosis than men with iCMP, but similar for niCMP. Nevertheless, sex was not an independent predictor of death for both CMP.
CARBON NITROGEN EVALUATION OF VARIOUS VERMICAST BY NUTRITIONAL WASTE MANAGEMENT

: Earthworms are the major component of soil in most ecosystem that helps in converting nutritional waste into nutrient rich soil. Their activities beneficial for enhancing soil nutrient cycling. Especially concentration of organic carbon and Nitrogen are the indicator of soil fertility. The Marigold (Zendu) and Chrysanthemums (Shevanti) flower waste from holy places and Cabbage leaf waste from vegetable seller was collected separately and cast generated from these waste analysed for the comparative study for the evaluation of organic carbon, Nitrogen and carbon nitrogen ratio an essential elements in cast generated from these wastes separately using IS and APHA method. Carbon and Nitrogen, the essential element for plants was found in high concentration in Merigold flower waste ( 9.18%) when compared with control sample and other waste while carbon nitrogen ratio found to be more in cast generated from cabbage leaf waste.
Segmentation of University Students using Clustering and considering a Virtual Cycle

– The present work had as purpose the creation of Grouping or Clustering Models for each specialty that the National University of Engineering has, with the purpose of carrying out tutorials focused on students who obtained low academic performance both in the face-to-face period 2019-1 and in the virtual period 2020-1. In this research, the CRISP-DM methodology was used to create the models, in addition, the necessary theory of Clustering is developed. The data used was purely academic. During the data analysis process, some important findings were found, such as the significant improvement in qualifications after taking a virtual cycle. The models used were K-means, DBSCAN, Affinity Propagation and MeanShift. To find the optimal parameters of each model in each specialty, parameter searches were carried out using the Silhouette Coefficient as the Performance Metric. Finally, to choose the best model, the Success Metric was defined as the number of groups generated by each model among students with low academic performance, then it was compared between the models, and it was found that the Affinity Propagation model is the one that performs better for the application of focused tutorials.
Avaliação do Potencial Energético da Biomassa nas Sub-regiões do Minho-Lima, Ave, Cávado e Grande Porto

This work focuses on assessing the role that endogenous energies more specifically biomass may have in sub-regions of Minho-Lima, Ave, Cavado and Grande Porto. Given that the forest is a well-managed industry that can create wealth, was considered in this work. The sectors that generate enough waste and with a strong character polluter as livestock, agriculture, agribusiness, fish-food industry and leather, were considered as possibility to find solutions for treatment and recovery of their wastes. During this study energetic potential were quantified, converted into electricity, of each type of waste, the combustion process was chosen for the forest biomass and the anaerobic digestion was considered for the other sectors. The results for the forestry sector proved to be low, but these were expected given the percentage of forest in the sub-region under study and the protected regions. Considering the other sectors not knowing the exact data related to the quantity and type of waste limited the study. Finally, from this work it’s possible to conclude the need for more studies for each sector, in close proximity to the industries and agricultural producers. It must be led to the creation of pilot farms with energy recovery systems in anaerobic digesters. Avaliacao do Potencial Energetico da Biomassa nas Sub-regioes do Minho-Lima, Ave, Cavado e Grande Porto
Staphylococcus aureus Induced Wound Infections Which Antimicrobial Resistance, Methicillin- and Vancomycin-Resistant: Assessment of Emergence and Cross Sectional Study

Background Wound infection is a prevalent concern in the medical field, being is a multi-step process involving several biological processes. Methicillin-resistant S. aureus (MRSA) and vancomycin-resistant S. aureus (VRSA) infections often occur in areas of damaged skin, such as abrasions and open wounds. Methods This research aims to light the incidence of MRSA and VRSA in wound swabs, the antimicrobial susceptibility configuration of isolated S. aureus patterns in pus/wound samples collected from Saudi Arabian tertiary hospital. The cross section study, β- lactamase detection, VRSA genotyping, MAR index, D-test and VRSA genotyping are methods, which used for completed this research. Results Patients of several ages and genders delivered specimens from two hospitals in the Al jouf area, in the northern province of Saudi Arabia. S. aureus was found in 188 (34.7%) of the 542 wounds. The traumatized wounds provided 71 isolates (38.8%), surgical wound provided 49 isolates (26.8%) and abscess were represented 16 by isolates (8.7%). In the study, 123 (65.4%) out of 188 were MRSA, 60 (31.9%) were MSSA, and five (2.7%) were VRSA. Linezolid and rifampin were found to be the most effective antimicrobials with 100% in vitro antibacterial activity against S. aureus isolates. The Multiple antimicrobials resistance (MAR) index revealed 73 isolates (38.9%) with a MAR index greater than 0.2, and 115 (61.1%) less than 0.2. The D-test showed that of MLSb phenotypes among S. aureus, 22 (11.7%) strains were D-test positive (MLSbi phenotype), 53 (28.2%) strains were constitutive MLSc phenotypes, and 17 (9%) strains were shown to have MSb phenotypes. All VRSA isolates (n=5) were found to be positive for vanA, and no vanB positive isolates were detected in the study. Conclusion Regular monitoring and an antimicrobials stewardship program should be in place to provide critical information that can be utilized for empirical therapy and future prevention strategies.
Whither Emotional Intelligence in Mental Healthcare

Emotional Intelligence (EI) has always been relevant in studies and investigations. It has been useful in various clinical and non-clinical domains of profession. The present article is a comprehensive narrative review especially in the context of mental health services. The authors have explored major studies conducted in last three decades and available on various sources like PubMed, Mendeley, google scholar, Cochrane, Psychinfo, Research Gate and APA Psychnet. In addition, a few additional published book chapters have also been reviewed on interventional research to be useful and incorporated. Finally, major methodological limitations and conclusions focus on a need for more representative research to understand the concept with special reference to mental health, have been incorporated.
Does Tone of Comments Matter?: Exploring the Role of Uncivil Comments and Political Orientation on Weakening Belief in Fake News and Eliciting Anger

ABSTRACT Although fake news has become a serious social issue and the detrimental effects of fake news have become more salient in online environments, scholars have not extensively studied the role of uncivil comments posted about fake news. As fake news itself is typically partisan and tends to deceive publics for specific purposes (e.g. gaining support for specific agendas), it usually induces heated discussion and uncivil commenting, especially among politically partisan individuals. Thus, in this study, we explored the effects of uncivil comments following fake news and political orientation on belief in fake news and anger. We used two issues to explore these mechanisms: climate change and immigration. Our results show that uncivil comments following fake news weakened participants’ belief in fake news about climate change. Moreover, uncivil comments made people angrier after viewing fake news about each issue. A significant moderating effect of political orientation on this relationship also emerged. Conservatives, who generally had a lower level of anger toward fake news than liberals, were more likely to feel anger when they viewed uncivil comments rather than civil comments. Theoretical and practical implications are discussed.
The Effect of Perceived Risk on Consumer’s Online Purchase Intention at Zalora for Muslim Clothing Product

Aims: This study examines the effect of perceived risk on consumers' online purchase intention at e-commerce for a specific clothing product. Mainly, in this research, there are six perceived risk factors: Financial risk, product risk, security risk, time risk, social risk, and psychological risk. Place and Duration of Study: This study was conducted in Indonesia, without any specific domicile in determining the respondents, from November 2022 to June 2023. Design/Methodology: This study uses a quantitative approach with data collection methods in an online questionnaire and is determined using non-probability purposive sampling. Data was obtained by distributing online questionnaires to 250 respondents who know Zalora (following the predetermined criteria). This research was processed using IBM SPSS Statistic 26. Results: This study's results show the negative effects of product risk and time risk on consumers' online purchase intention. On the other hand, it also shows that there is no effect from financial, security, social, or psychological risks on consumers' online purchase intention.
Oceanographic fieldwork in the Amundsen Sea: An overview of cruise JR141

Introduction This report provides an overview of a 2006 cruise to the Amundsen Sea, the oceanographic data collected, and how we intend to use these data to further our understanding of the physical oceanography of this region. The Amundsen Sea, located in the eastern Pacific sector of the Southern Ocean, is a region where ice shelves are rapidly thinning (Shepherd et al., 2004). The widespread, coherent nature of the thinning suggests a reaction to external forcing. Given that air temperatures are below freezing year-round, the most likely instigator of rapid change is the ocean. The Amundsen and Bellingshausen Seas have water properties unlike anywhere else around Antarctica. Circumpolar Deep Water (CDW), which elsewhere is found only within the Antarctic Circumpolar Current (ACC), floods the continental shelves, resulting in the highest water temperatures to be found around the continent. CDW is characterised by temperatures in excess of 1oC, which is around 3°C warmer than the surface freezing point. When this water mass has access to the base of an ice shelf, melting is one to two orders of magnitude higher than it would otherwise be. Previous studies have shown the link between rapid melting and the presence of CDW beneath ice shelves (Potter and Paren, 1985; Jacobs et al., 1996), and sub-ice shelf melt rates have been found to be sensitive to relatively minor changes in water temperature (Hellmer et al., 1998). Understanding the mechanisms of the on-shelf transport of CDW and quantifying the associated heat fluxes are clearly key to understanding the oceanographic impact on the ice shelves
Thermoelastic–Structural Analysis of Space Thin-Walled Beam Under Solar Flux

T HE uncoupled and coupled thermal–structural analysis models have been employed extensively to study thermally induced vibrations of spacecraft appendages [1–5]. The uncoupled model assumes that the absorbed solar flux for the structure surface is not affected by thermally induced motions (i.e., neglecting the coupling effect between structural deformations and incident heating); however, the coupled model includes the effect [1]. Furthermore, thermal flutter that is oscillations of increasing amplitude can be demonstrated by the coupled model and the stability analysis [1,6], and the unstable vibrations may cause spacecraft to experience such large motions and be unable to complete the intended missions [1]. For thermal–structural analysis, the heat conduction equation in thermal analysis is established based on the conservation of energy with neglect of the work done by external forces and the kinetic energy. According to the thermoelasticity theory, however, the strain rate coupling term exists in the heat conduction equation because the work should be included in the process of deriving the equation [7,8]. That is, the coupling effect between strain and temperature fields is considered in the thermoelastic–structural analysis. This Note focuses on the investigation of stability of thermally induced vibrations and thermally induced dynamical behaviors of a space thin-walled beam subjected to thermal shock from solar flux using the thermoelastic–structural analysis. First, the heat conduction equation with the coupling effects mentioned in the preceding paragraph is derived by applying the principle of conservation of energy, the second law of thermodynamics, and Fourier’s law in heat transfer; and the equation ofmotionwith thermal effect is obtained by using Hamilton’s principle and the approximating displacement field. Thermoelastic–structural coupling equations are then solved by an analytical approach similar to Ref. [1], which is to have a better comparison between the presented analysis and the previous analysis in Ref. [1]. Finally, numerical results are conducted to illustrate the difference between thermoelastic–structural and thermal–structural analyses.
Population of Northern Leopard Frogs (Rana Pipiens) Migrating Between the Ney Frog Pond and the Minnesota River Valley for Spring Breeding

The Northern Leopard Frogs (Rana pipiens) found at the Ney Nature Center (NNC) are particularly important to the NNC, as they are the initial population of frogs found deformed in 1995. As bio-indicators, frog populations can be used to assess the health of their surrounding environment. This study used standard herpetological field methods to gain a population estimate of Northern Leopard Frogs and the migration route used by these frogs as they moved up the bluffs of the Minnesota River Valley from their wintering site to the Ney Frog Pond for spring breeding. The results gathered provide the Ney Environmental Education Foundation (NEEF) an estimated population and route of migration, which allows them to put in place measures to continue to monitor and protect the eco-system of the Ney Nature Center and specifically the Northern Leopard Frogs found on-site. NEEF has committed to preserve, protect, and enhance the natural environment of the NNC.
Assessing the Effectiveness of an E-Coaching Intervention in Improving Family Support for Individuals with Mental Disorders: A Quasi-Experimental Approach

Background The increasing number of mental disorders (MDs) requires government, social, and family attention. The purpose of this study was to determine the effectiveness of an e-coaching empowerment application in improving families’ abilities to care for individuals with mental disorders (MDs). Methods A quasi-experimental design was used for this study. Totaling 122 individuals selected through purposive sampling from families with (MDs) in six selected community health centers that divided into two groups, intervention and regular mental healthcare. The data collected were analyzed using multiple linear regression. The independent variable was the provision of intervention using the e-coaching application with GROW (Goal, Reality, Option, Will) model, while the dependent variables were the family’s ability to recognize problems, make decisions, take care of people with MDs, modify the environment, and utilize health facilities. Further, multivariate tests were used to evaluate the effect of e-coaching empowerment on families’ ability to care for MDs. Results The results demonstrated a significant impact of e-coaching on the family’s ability to care for individuals with MDs (p<0.01). Education also partially affected the family’s ability to care for individuals with MDs (p<0.01). Additionally, age, gender, occupation, relationship with the individual MDs, and duration of care simultaneously did not significantly affect the family’s ability to care for individuals with MDs (p<0.01). However, educationally background was significantly affect family ability in taking care for MD patients. Overall, e-coaching significantly improved the family’s ability to recognize problems, make decisions, care for patients with MDs, modify the environment, and utilize health facilities. Recommendations The e-coaching empowerment application for families can assist healthcare workers in enhancing the family’s ability to provide assistance for individuals with MDs at home. This application can improve mental health services in the broader location accessible via the internet and can be developed for other health fields. The application can be expanded into a simple game so that families can view their scores for their proficiency in each session to make it more entertaining.
Demystifying Dietary Education for Hospital RNs: Extending the Reach of the DCES

34 // ADCES IN PRACTICE // September 2023 Registered nurses (RNs) frequently care for hospitalized patients with type 2 diabetes (PWD), and unfortunately, hospital policy often limits a Diabetes Care and Education Specialist (DCES) or Registered Dietitian (RD) consultation to those newly diagnosed or with an A1C greater than 9%. Hospitalization is often a stimulus for PWD to evaluate their self-management, and RNs regularly observe PWD making poor dietary choices for many reasons, including a lack of understanding of how food choice impacts their blood glucose. A lack of dietary education and support for PWD in the hospital setting is a missed opportunity for improving health. RNs rarely address dietary strategies to support diabetes self-management despite having frequent interactions with hospitalized patients. RNs report a limited knowledge of type 2 diabetes diet strategies and, therefore, are uncomfortable with instructing patients. Educating RNs on diabetes dietary strategies provides an excellent opportunity to improve THEA NUNEZ, mSN, RN • DANA E BRACKNEY, PHD CDCES, BC-ADm • mELINDA BOGARDUS, PHD, APRN
Orchestration and Management of Adaptive IoT-Centric Distributed Applications

Current Internet of Things (IoT) devices provide a diverse range of functionalities, ranging from measurement and dissemination of sensory data observation, to computation services for real-time data stream processing. In extreme situations, such as emergencies, a significant benefit of IoT devices is that they can help gain a more complete situational understanding of the environment. However, this requires the ability to utilize IoT resources while taking into account location, battery life, and other constraints of the underlying edge and IoT devices. A dynamic approach is proposed for orchestration and management of distributed workflow applications using services available in cloud data centers, deployed on servers, or IoT devices at the network edge. Our proposed approach is specifically designed for knowledge-driven business process workflows that are adaptive, interactive, evolvable and emergent. A comprehensive empirical evaluation shows that the proposed approach is effective and resilient to situational changes.