Miracle-dz/UniFAR-FTUs huggingface dataset:
Action Schema Networks for Numeric Planning

Planning is the fundamental ability of an intelligent agent to reason about what decisions it should make in a given environment to achieve a particular set of goals. Generalized planning is the task of finding a generalized policy that applies to a set of planning instances that share a standard model. Action Schema Networks (ASNets) is an approach to find generalized policies for classical planning problems. In this paper, we extend ASNet to work with numeric planning problems. We use a technique to propositionalize numeric variables, which converts them from infinite ranges to a finite domain, and update the training procedure to use exploration in order to increase the diversity of states encountered. We also use a non-generalized numeric planner, Expressive Numeric Heuristic Search Planner (ENHSP), to teach ASNet to solve numeric planning problems by learning to mimic the actions chosen by ENHSP for problem instances. ASNet finds a generalized policy and weights after training, allowing it to share these to solve unseen problem instances of the same domain. We analyze our approach through an extensive experimental study aimed at evaluating the performance of ASNet on several numeric planning domains. The results show that our numeric ASNet can effectively solve problems in many numeric planning domains.
PerLE: an E-Learning Solution for Languages in a Lifelong Learning Context-the Example of Apprendimento e ICT at Unical

The aim of this paper is to present how the PerLE digital platform, developed at the Department of Languages and Educational Sciences at the University of Calabria (UNICAL) promotes the development of language skills through e-competencies and collaborative learning in a blended context, encouraging active participation by considering learner autonomy as one of the main goals of this process. According to research in the field of language learning, an approach is required that allows students to construct their own knowledge and focuses on learning which responds to their needs, and real-life interests [1]. In the 21 st Century two essential competencies will be required, the ability to communicate using foreign languages and ICT skills. PerLE, in effect, enables and supports the simultaneous development of both competencies in a context where ICT works as an aid for language learning through e-learning tools. This learning environment also privileges the communicative approach by offering students the opportunity to freely use, for example, blogs and wikis, create animated cartoons, videos and conceptual maps. It is also possible to use software for presentations focusing on what they need to communicate rather than on language analysis and grammatical rules. At the same time, it fosters motivation, by allowing students to take responsibility for their own learning (learn how to learn) since they become authors and consequently more successful learners. PerLE also has relevance in terms of its ability to enable improvement of self-regulated learning, social skills, and cognitive abilities, as proposed by the Lifelong Learning approach and suggested by results obtained in programs carried out in Austria using this approach as part of the Messaggeri della Conoscenza (Knowledge Messengers) project at the University of Calabria [2,3]. In addition, more than being a learning platform, PerLE is a Personal Learning Environment. Personal, since it gives students the opportunity to be protagonists in the learning process through a series of e-tools they use in collaboration with their
THz Letters A Terahertz Monostatic Transceiver in 90-nm SiGe BiCMOS

—A combined common collector harmonic mixer and frequency multiplier is designed to operate at the fourth harmonic in a transceiver at around 0.88 THz in a 90-nm SiGe BiCMOS technology with an f T / f max of 300/480 GHz. The transceiver occupies a chip area of 1.35 mm 2 with a current consumption of 144 mA when connected to a 3.3-V supply. Measurements reveal an effective isotropic radiated power of − 30 dBm at 0.888 THz and a system receiver conversion gain of − 4 dB as well as a single-sideband noise figure of 57 dB at 0.912 THz.
Pregnancy and insulin sensitivity in relation to Exercise training (A scoping review)

: This study is aimed to estimate the relation of exercise training on insulin sensitivity and pregnancy. Twenty females at the second trimester of pregnancy participated in this study. Their age was 20 to 40 years with BMI less than 35 km 2 . They divided into two equal group. The study group (A) performed exercise program for four weeks, 3 sessions per week. While the control group maintain their daily life activity routine. There was a significance difference in the mean value of insulin sensitivity level in group A and there was a significance difference in the mean value between groups in favoring to group (A). So, it could be concluded that exercise training is an effective method on insulin sensitivity during pregnancy.
CICESE at DA-VINCIS 2023: Violent Events Detection in Twitter using Data Augmentation Techniques

This paper describes our participation in the shared evaluation campaign of DA-VINCIS at IberLEF 2023. In this work, we address the subtasks proposed, Violent Event Identification (subtask 1) and Violent Event Category Recognition (subtask 2) using multimodal information from tweets (text and images), by using a Bidirectional Encoder Representations from Transformers (BERT) with and without data augmentation techniques. For text augmentation, the GPT-3 model and prompt engineering were used meanwhile for image augmentation an image recovery approach from the web was used, and image captioning to handle the images from the visual information. Our approach obtained second place for subtask 1 (F1 = 0.9203) and first place for subtask 2 (F1 = 0.8797) among 16 different teams.
Developing Environmental, Social and Governance Index for Palm Oil Industry Value Chain

The common world effort to achieve United Nations 2030 Agenda on Sustainable Development has expedited the Environmental, Social and Governance reporting, both in the academic, financial, and business arenas. The composition and elements within ESG and its benefits have remained vague across a wide range of industries. Even though general guidelines and handbooks on ESG reporting have been introduced by respective securities markets, non-governmental organisations such as General Reporting Initiatives and World Business Council for Sustainable Development, a gap is observed in the ESG reporting for the entire value chain activities, particularly for the palm oil industry. In this work, Analytic Network Process is proposed to evaluate the priority weights of ESG indicators across the palm oil value chain to understand the importance of ESG reporting in improving the sustainability performance of the industry. The palm oil value chain is divided into three parts, which are downstream activities, main operations, and upstream activities. The result can serve as a reference for the policymakers in introducing the appropriate supports and measures to spur and monitor the sustainable development of the industry. It can also serve as a guideline to enhance credit and investment decisions for financial institutions and investors. The priority weighs on the importance of ESG indicators can also help industry players to improve the resource allocation strategy as well as supplier and distribution selection.
Convergence to consensus of the general ﬁnite-dimensional Cucker-Smale model with time-varying delays

We consider the celebrated Cucker-Smale model in ﬁnite dimension, modelling interacting collective dynamics and their possible evolution to consensus. The objective of this paper is to study the eﬀect of time delays in the general model. By a Lyapunov functional approach, we provide convergence results to consensus for symmetric as well as nonsymmetric communication weights under some structural conditions.
Location Information Analysis of Large Coffee Shops in Big City: A Customer Satisfaction and Behavioral Intention Based Study

This study proposes a strategic alternative to activate the business of large coffee shops near the center of city, focusing on location characteristics, through which it aims to understand in depth what location characteristics affect customer satisfaction and positive behavior intention directly related to the profits of large coffee shops near the center of city. The purpose of this study is to verify the causal relationship between suitability, visibility, and accessibility of stores with such location characteristics and customer satisfaction and behavioral intention, and to present useful data for profitability and sustainability of large coffee shops near the center of the store. To achieve the purpose of this study, a survey was conducted on customers who visited large coffee shops near Busan, and the analysis of the survey was conducted using SPSS 25.0 statistical program. Prior to the hypothesis verification, frequency analysis, factor analysis, reliability analysis and correlation analysis were conducted to diagnose multiple collinearity problems in order to identify the reliability and validity of the scale for identifying the general characteristics of the subjects. And, based on the refined measurement items, multiple regression analysis was conducted to verify the hypothesis. Then, empirical analysis was conducted.
ILLIXR-A: AN OPEN SOURCE EXTENDED REALITY SYSTEM FOR ANDROID PLATFORMS

There has been significant progress in virtual, augmented, and mixed reality (VR, AR, and MR) devices, collectively referred to as extended reality (XR). However, until recently, this domain was dominated by proprietary software, which slowed down research. This motivated the development of an open-source end-to-end XR system called ILLIXR (Illinois Extended Reality testbed). It was developed to democratize XR systems research, development, and benchmarking. ILLIXR has been used to provide quantitative characterizations of performance, power, and quality-of-experience metrics for current XR systems and to develop solutions to address the gap between current and desirable XR systems. However, ILLIXR currently only supports the Linux platform, which limits its use in common consumer-grade devices that do not support Linux. The operating system used in most consumer devices, such as smartphones, smart TVs, tablets, and head-mounted displays (HMD), is Android. Android’s open-source nature allowed it to be highly customizable and adaptable for different purposes, contributing to its widespread usage. Additionally, there is little detailed analysis of XR runtimes on the Android platform.
Carbon Geography: The Political Economy of Congressional Support for Legislation Intended to Mitigate Greenhouse Gas Production

Stringent regulation for mitigating greenhouse gas emissions will impose different costs across geographical regions. Low-carbon, environmentalist states, such as California, would bear less of the incidence of such regulation than high-carbon Midwestern states. Such anticipated costs are likely to influence Congressional voting patterns. This paper uses several geographical data sets to document that conservative, poor areas have higher per-capita carbon emissions than liberal, richer areas. Representatives from such areas are shown to have much lower probabilities of voting in favor of anti-carbon legislation. In the 111th Congress, the Energy and Commerce Committee consists of members who represent high carbon districts. These geographical facts suggest that the Obama Administration and the Waxman Committee will face distributional challenges in building a majority voting coalition in favor of internalizing the carbon externality.
A study of the effect of event tourists' perceived value on the revisit intention: a case study of music festival in Chengdu

With the rapid development of the Chinese economy, the development of events has gradually accelerated, but related research needs to be enriched. Based on the perceived value theory, this paper studied the perceived value, satisfaction, and revisit intention and constructed a theoretical model of the perceived value of the tourists. The study shows that service value, social value, and emotional and enjoyable value constitute the perceived value, of which emotional and enjoyable value has a significant positive impact on revisit intention while social value has a significant negative impact on revisit intention.
3D reconstruction of horizontal and vertical quasi-geostrophic currents in the North Atlantic Ocean

Abstract. In this paper we introduce a new high-resolution (1/10°) data-driven dataset of 3D ocean currents developed by the National Research Council of Italy in the framework of the European Space Agency World Ocean Circulation project: the WOC-NATL3D dataset. The product domain extends over a wide portion of the North Atlantic Ocean from the surface down to 1500 m depth, and the dataset covers the period between 2010 and 2019. To generate this product, a diabatic quasi-geostrophic diagnostic model is applied to data-driven 3D temperature and salinity fields obtained through a deep learning technique, along with ERA5 fluxes and empirical estimates of the horizontal Ekman currents based on input provided by the European Copernicus Marine Service. The assessment of WOC-NATL3D currents is performed by direct validation of the total horizontal velocities with independent drifter estimates at various depths (0, 15 and 1000 m) and by comparing them with existing reanalyses that are obtained through the assimilation of observations into ocean general circulation numerical models. Our estimates of the ageostrophic components of the flow improve the total horizontal velocity reconstruction, being more accurate and closer to observations than model reanalyses in the upper layers, also providing an indirect proof of the reliability of the resulting vertical velocities. The reconstructed WOC-NATL3D currents are freely available at https://doi.org/10.12770/0aa7daac-43e6-42f3-9f95-ef7da46bc702 (Buongiorno Nardelli, 2022).
OPERATOR SUPPORT SYSTEM USING COMPUTATIONAL INTELLIGENCE TECHNIQUES

Computational Intelligence Systems have been widely applied in Monitoring and Fault Detection Systems in several processes and in different kinds of applications. These systems use interdependent components ordered in modules. It is a typical behavior of such systems to ensure early detection and diagnosis of faults. Monitoring and Fault Detection Techniques can be divided into two categories: estimative and pattern recognition methods. The estimative methods use a mathematical model, which describes the process behavior. The pattern recognition methods use a database to describe the process. In this work, an operator support system using Computational Intelligence Techniques was developed. This system will show the information obtained by different CI techniques in order to help operators to take decision in real time and guide them in the fault diagnosis before the normal alarm limits are reached.
Simultaneous Joint Inversion as a Salt Detector in South Gabon Land Exploration

In the special case of non-Gardner bodies (i.e., salts) inside a standard Gardner background setting, simultaneous joint inversion offers a quantitative approach to QC on interpreted layer boundaries for such a formation. Misplacements or boundary errors in salt horizons result in simultaneous joint inversion velocity and density outputs as inconsistencies that may, therefore, indicate layer geometry corrections to otherwise regular solutions. In the presented case, a boundary of validity between a velocity and resistivity positive and negative correlation is detected by simultaneous joint inversion, and used as salt top/bottom edge indicator. For hydrocarbon exploration in the South Gabon sub-basin, because the seismic method alone was failing in salt and subsalt imaging, Perenco hypothesized that gravity data could be utilized to enhance the imaging of pre-salt seismic reflectors by providing additional input for prestack depth migration. Two vintage 2D seismic lines were reprocessed utilizing the technology simultaneous joint inversion technology.
Occasional Paper 87 On the Effects of Legal and Cultural Institutions on Corporate Social Disclosures by Banks

Recent studies have articulated the dearth of cross-country investigation of Corporate Social Responsibility (CSR) disclosure behaviours in the broader CSR discourse. The impacts of national institutional frameworks on CSR disclosure behaviours also remain under-researched. Consequently, this study examines the impact of legal origin and culture on CSR disclosures by large banks in fourteen Western European countries. It finds that country’s legal origin and culture affect disclosure behaviours of banks. Surprisingly, banks in civil law origin countries make more employee and shareholders social disclosures than banks in both Common law and Scandinavian countries. Banks in high uncertainty avoidance cultures make more social disclosures than banks in low uncertainty avoidance cultures, but no relationship is found between CSR disclosure and individualism/collectivism cultural dimensions. The study finds support for institutional theory, and highlights the importance of cross-country studies in expanding the current CSR dialogue.
Strengthening Privacy Security in Biomedical Microelectromechanical Systems

Biomedical Microelectromechanical Systems (BioMEMS) serve as a crucial catalyst in enhancing internet of things (IoT) communication security and safeguarding smart healthcare systems. Situated at the nexus of advanced technology and healthcare, BioMEMS are instrumental in pioneering personalized diagnostics, monitoring, and therapeutic applications. Nonetheless, this integration brings forth a complex array of security and privacy challenges intrinsic to IoT communications within smart healthcare ecosystems, demanding comprehensive scrutiny.
Early Stabilization Does Not Increase Complication Rates in Acetabular Fractures of the Elderly: A Retrospective Analysis from the German Pelvis Registry

Background: The incidence of acetabular fractures in geriatric patients has increased. Although there are strong data supporting the early operative treatment of hip fractures in geriatric patients, the optimal timing for acetabular fractures remains unclear and for several reasons, delayed treatment after trauma is common. Methods: A retrospective analysis of the German Pelvis Registry between 2008 and 2017 was performed. Ultimately, 665 patients with fractures of the anterior column or anterior column and posterior hemitransverse were enrolled. Patients above and below 65 years of age with these fracture types were analyzed regarding surgery day (within 48 hours, between 2 and 4 days, after 4 days), complication rate, reduction quality, and hospital stay. Results: The complication rate of the geriatric group was twice as high as that of younger patients; however, this finding was independent of the timing of surgery. Reduction quality and hospital stay were independent of surgical timing. Conclusions: In contrast to other fracture types, such as proximal femur fractures, the timing of surgery for acetabular fractures does not have a significant impact on the patient’s outcome. The optimal time for surgery cannot be determined using the current data. However, as expected, there is a significantly higher risk for postoperative complications in the geriatric population.
Structural Configurations of Social Representations about Climate Change

The study looked at college students’ meaning-making of climate change, using the lens of Social Representation Theory. Participants were 130 undergraduate students of the University of Guam who were asked to answer a free association questionnaire in which they were to write the first three ideas that came to mind regarding their understanding and description of climate change, Abric’s (2012) Hierarchical Evocation Method (HEM) was used in analyzing the data. Central to the understanding of students is that climate change is synonymous with global warming. Peripheral apprehension of climate change include seeing climate change as modifications in weather, temperature, and season; associating the social object with calamities and disasters, environmental destructions, as well as the effects of these changes on human beings and animals; and the adjustments that human beings have to take on as a form of adaptation. Climate change is also socially understood as weather that has become extreme and unpredictable. Results have implications on the development and implementation of policies on climate change mitigation and adaptation.
A scapular facture in Yangchuanosaurus hepingensis(Dinosauria: Theropoda)

A scapula with healed wound of Yangchuanosaurus (Sinraptor) hepingensis ZDM 0024 from Zigong Dinosaur Museum of China is described. This is the first detailed description on pathology of theropoda in China. The discontinuous cortical bones, angular deformity and bony callus suggest an external force-caused wound healing in this bone, rather than a pathological fracture. Mamenchisaurus hochuanensis with tail club among the contemporary fauna is probably the candidate for the assault. This presents an attractive explanation to the bone fracture of Yangchuanosaurus hepingensis.
Influencing Health-Related Decision Making and Therapeutic Alliance with Robot Mobility and Deixis

Recent trends and developments in robotics have enabled socially assistive mobile robotic platforms to be deployed in everyday human lives. These robots have the ability to navigate to a user’s location and engage in multimodal interactions to serve a variety of purposes such as promoting health behavior change. We conducted a randomized two-factor experiment to study the utility of robot mobility and multimodal cuing in a collaborative meal assembly task. We found that robot mobility, proxemics, and deictic and verbal cuing have significant positive effects on compliance with the robot’s food recommendations and resulting nutritional quality of assembled meals. These robot behaviors also led to stronger therapeutic alliance between the robot and the user and higher user engagement.
Discussion on mountain area resource and environment carrying capacity

Carrying capacity is an important parameter to measure region sustainable development.This article briefly discriminated the relevant concepts of resource and environment carrying capacity,region carrying capacity and ecological carrying capacity,and also reviewed the process of carrying capacity research development at home and abroad.Moreover,the paper discussed the shortcomings and problems and finally suggested several key issues of the research in future.It found that the studies of mountain area resource and environment carrying capacity were very insufficient,and the shortages in the correlative studies mainly displayed as: the theoretical system of carrying capacity had not been constructed completely;the lack of effective methods impeded the development of theory;most of researches focused on the static analysis but rarely engaged in dynamic forecast;the studies on mountain area resource and environment carrying capacity applied mechanically the research pattern of the plain area,which did not correspond to the mountain area's reality.Aiming at the above disadvantages,the author pointed out that perfecting the theory system frame of resource and environment carrying capacity,exploring the quantitative research methods of resource and environment carrying capacity in depth,and paying great attention to the mountain area resource and environment carrying capacity's characteristic of a nation,the influence of minority nationalities culture on resource and environment carrying capacity and the mountain area resource and environment carrying capacity's characteristic of spatial differentiation were five important issues for further study.