Miracle-dz/UniFAR-FTUs huggingface dataset:
An examination of higher-moment contagion during the South Sea Bubble

ABSTRACT The objective of this paper is to investigate the nature and the direction of the contagion during the episode of the South Sea Bubble. Previous research in this area has adopted a correlation and cointegration approach. In preference, though, we place reliance upon four different tests of linear and higher-moment contagion. From using daily data on the share prices of six companies from December 1719 to January 1721, strong evidence is obtained of contagion when applying co-skewness, co-volatility, and co-kurtosis tests.
Renewable Energy-Enabled Cellular Networks

Renewable energy (RE)-powered base stations (BSs) have been considered as an attractive solution to address the exponential increasing energy demand in cellular networks while decreasing carbon dioxide (CO2) emissions. For the regions where reliable power grids are insufficient and infeasible to deploy, such as aerial platforms and harsh environments, RE has been an alternative power source for BSs. In this survey paper, we provide an overview of RE-enabled cellular networks, detailing their analysis, classification, and related works. First, we introduce the key components of RE-powered BSs along with their frequently adopted models. Second, we analyze the proposed strategies and design issues for RE-powered BSs that can be incorporated into cellular networks and categorize them into several groups to provide a good grasp. Third, we introduce feasibility studies on RE-powered BSs based on the recent literature. Fourth, we investigate RE-powered network components other than terrestrial BSs to address potential issues regarding RE-enabled networks. Finally, we suggest future research directions and conclusions.
Hierarchical Phone Recognition with Compositional Phonetics

There is growing interest in building phone recognition systems for low-resource languages as the majority of languages do not have any writing systems. Phone recognition systems proposed so far typically derive their phone inventory from the training languages, therefore the derived inventory could only cover a limited number of phones existing in the world. It fails to recognize unseen phones in low-resource or zero-resource languages. In this work, we tackle this problem with a hierarchical model, in which we explicitly model three different entities in a hierarchical manner: phoneme, phone, and phonological articulatory attributes. In particular, we decompose phones into articulatory attributes and compute the phone embedding from the attribute embedding. The model would ﬁrst predict the distribution over the phones using their embeddings, next, the language-independent phones are aggregated to the language-dependent phonemes and then optimized by the CTC loss. This compositional approach enables us to recognize phones even they do not appear in the training set. We evaluate our model on 47 unseen languages and ﬁnd the proposed model outperforms baselines by 13.1% PER.
Comprensione vs. produzione del sarcasmo: il ruolo delle capacità affettive e argomentative in età evolutiva

Riassunto: Nell’eta dello sviluppo, i bambini iniziano a comprendere e a produrre le prime espressioni ironiche, in particolare nel contesto familiare. Sebbene sia comprensione sia produzione di ironia richiedano abilita linguistiche, pragmatiche, di Teoria della Mente e di tipo socio-comunicativo, non e ancora chiaro come tali abilita entrino in gioco nel caso della produzione del sarcasmo. Questo contributo ripercorre gli studi principali sulla comprensione vs. produzione dell’ironia in eta evolutiva, mettendo in evidenza il ruolo delle capacita affettive e argomentative necessarie alla produzione dell’ironia e del sarcasmo. In riferimento a studi recenti, si ipotizza che le capacita di Mind-mindedness genitoriale possano influenzare lo sviluppo delle capacita di lettura della mente e, piu in particolare, gli aspetti affettivi e relazionali nel processo di comprensione dell’ironia. Si ipotizza altresi che la produzione dell’ironia, e in particolare del sarcasmo, sia modulata non solo dalle capacita affettive ma anche da quelle argomentative in via di sviluppo. Parole chiave: Produzione del sarcasmo; Capacita affettive; Capacita argomentative; Comprensione; Teoria della mente Comprehension vs. Production of Sarcasm: The role of the affective and argumentative capacities in childhood Abstract: Children start comprehending and producing their first ironic expressions quite early especially in the family environment. The comprehension and the production of irony require linguistic, pragmatic, social and communicative capacities as well as abilities related to the Theory of Mind. However, it is not yet clear how these abilities are involved in the production of sarcasm. In this manuscript we review the main studies on the production of irony in childhood in order to identify the affective and argumentative capacities that are needed for the production of irony and sarcasm and the specific role they play in that. On the basis of these studies, we hypothesize that parental mind-mindedness promote children’s development of mindreading capacities and, more specifically, of those affective and relational aspects needed for the comprehension of irony. Moreover, we also argue that the production of irony and even more of sarcasm depends not only on the affective capacities but also on the developing argumentative capacities of the children. Keywords: Production of Sarcasm; Affective Capacities; Argumentative Capacities; Comprehension, Theory of Mind
Labour productivity growth and convergence in manufacturing: A nonparametric production frontier approach

ABSTRACT Labour productivity growth in manufacturing is decomposed into technical efficiency change (movement towards or away from the frontier), technological progress (shifts in the production frontier), and capital accumulation (movement along the frontier) using a nonparametric production frontier method. The results suggest that labour productivity growth is primarily driven by capital accumulation and to a lesser extent technological progress, while technical efficiency is deteriorating over the period 1995–2014. We find that technological progress appears to be non-neutral, as the world manufacturing production frontier expands only at higher capital intensities, benefiting highly industrialized nations. We also find evidence of unconditional convergence in labour productivity for the manufacturing sector. Capital accumulation is the main driver of the observed unconditional convergence, whereas technological change is contributing to divergence rather than convergence. The findings suggest that expanding manufacturing activities through capital accumulation is essential for developing countries to catch-up with developed countries.
The Effect of Organizational Culture on Motivation and Job Satisfaction and Its Impact on Organizational Citizenship Behavior (OCB) at the Office of PT. Permodalan Nasional Madani (PT.PNM) Garut Branch

The purpose of this study is to determine the effect of organizational culture on work motivation and job satisfaction and its impact on organizational citizenship behavior (OCB) at PT. National Capital Madani (PNM) Garut Branch. The method used in this study is quantitative. The sampling technique is proportional random sampling with a sample of 152 people. The data analysis technique used in this study is the path analysis technique. The results showed that organizational culture positively affected work motivation, work satisfaction, and organizational citizenship behavior (OCB). Work motivation and job satisfaction have a positive effect on organizational citizenship behavior (OCB). Work motivation and job satisfaction have direct and indirect effects on Organizational Citizenship Behavior (OCB). With these results, the researcher recommends several things as a consideration in determining company policy. PT. National Capital Madani (PNM) should continue to improve employee motivation, especially work performance and achievement of job targets, as well as job satisfaction, can continue to be improved, especially aspects of work under educational background and salary, altruism and sportsmanship must be given more attention by the company.
Previsão da produção de fontes renováveis e não renováveis selecionadas da matriz energética brasileira

O estudo avaliou a evolução das produções relativas de fontes renováveis e não renováveis da Matriz Energética Brasileira entre os anos de 1970 e 2019. Foram estimados modelos de previsão para cada fonte energética e avaliaram-se os possíveis impactos dos preços do barril de petróleo sobre a previsão da produção dessas fontes. Os dados foram extraídos da International Energy Agency (IEA) e Empresa de Pesquisa Energética (EPE). Elaboraram-se previsões para o período de 2021 a 2030 e optou-se pelo modelo Box-Jenkins. Para tanto utilizaram- se três cenários de oscilação dos preços do petróleo. Os ajustamentos obtidos foram robustos, de um ponto de vista estatístico, e os resultados da pesquisa mostraram que, com exceção da lenha, as produções de todas as fontes energéticas avaliadas se mostraram sensíveis às alterações nos níveis de preços do barril de petróleo. Desta forma, foram feitas as projeções com base nos cenários criados no estudo.
Women and wildlife crime: hidden offenders, protectors and victims

Abstract Gender is an explanatory factor in multiple dimensions of conservation, including women's access to and participation in conservation programmes, with gender bias in wildlife research persisting globally. There is reason to believe the current global wildlife crime crisis is no exception, with a lack of critical examination of gendered roles in security for biodiversity conservation. Despite the emergence of high-profile all-women ranger units (e.g. Akashinga in Zimbabwe) there has been a lack of systematic integration of gender within biodiversity protection. Theoretical and methodological applications from criminology have become progressively more common in response to an increase in a wide range of environmental crimes with consequences for women and their communities. Here we consider the implications of the lack of knowledge of women's direct and indirect roles in wildlife security. We used the criminology and conservation literature to identify key gaps in research, and relevant and robust typologies and frameworks informed by criminology to structure future research on women as offenders, protectors (handlers, managers, guardians) and victims of wildlife crime. We argue that more intentional research into the direct and indirect roles of women in wildlife crime is needed to address wildlife crime, protect biodiversity and support social justice in response to wildlife crimes.
A systematic literature review of community disaster resilience: main and related research areas and agendas

PurposeThis study aims to characterize the main research areas of published works, identify the disciplines that associated with the works and propose research agendas for future inquiries, based on a systematic literature review that encompasses 89 research papers from 2010 to 2020.Design/methodology/approachThis review commenced with the definition of the three research questions, and subsequently three steps were followed: (1) defining criteria for research paper selection; (2) specifying the data bases and selecting the papers based on the criteria and (3) data analysis, conclusion and discussion of selected papers. The search was limited to the selection of research papers in English, focusing on “community disaster resilience” which is the subject of this review and referred to as keywords which were used for the online search for papers. All these three words must be present in the title of the selected papers.FindingsThe area “resilience management” and “disaster resilience assessment” accounted for 43% of the studies, and it indicates that research has emphasized the description of how community disaster resilience has been managed and assessed. Three disciplines relating to disaster resilience are disaster risk science, public health and environment, and it indicates that research has fostered core areas of community disaster resilience. Three key research agenda include a growing trend to describe successful efforts to avert a potentially catastrophic disaster through solution-based case studies; a paradigmatic shift and implementation of how communities could help the disaster victims recuperate from disasters.Research limitations/implicationsThis review is limited to the numbers of chosen papers, as only full papers were chosen. However, in order to establish more rigorous and inclusive results of the study, the numbers of citations of published papers to be chosen for future inquiry should be taken into account.Originality/valueThis present review originally investigated how the concept of disaster resilience has been applied at the community level and in related areas. As resilience is a multidisciplinary concept that has been investigated by several different disciplines, such as sustainability, psychology, economy and sociology, this study looked into how disciplines related to community disaster resilience to provide agenda for future inquiries. This study therefore characterized the main research areas of published works, identified the disciplines that associated with the works and proposed a research agenda for future inquiries.
Improve enterprise knowledge management with internet of things: a case study from auto insurance industry

ABSTRACT The Internet of Things (IoT) technology has been increasingly used in industries. However, studies on IoT in knowledge management (KM) are still very limited. This research contributes to understanding the role of IoT-based technologies in KM, specifically acting as a knowledge creation mediator. By investigating a case study in the automobile insurance industry, this paper reveals IoT-based technologies’ supporting role and impacts on the insurer’s decision-making process – risk assessment and pricing, business process performance – claim accuracy and efficiency, and the role of an IoT system’s functionalities in improving drivers’ attitude (i.e., higher satisfaction) and behaviours (i.e., main resources for Data Analysis using the socialisation-externalisation-combination-internalisation (SECI) model), the research offers practitioners an overview of the value of IoT concerning organisational KM and demonstrates the role of IoT technologies in enhancing business performance, leading to broader social good.
Effects of Organic Amendments on Soil Aggregate Stability and Microbial Biomass in a Long-Term Fertilization Experiment (IOSDV)

The effect of two types of organic amendment (manure and straw incorporation) and various doses (0–200 kg N*ha−1) of mineral N fertilization on microbial biomass C (MBC), aggregate stability (AS), soil organic C (SOC) and grain yield were investigated in an IOSDV long-term fertilization experiment (Keszthely, Hungary). This study was conducted during years 2015–2016 in a sandy loam Ramann-type brown forest soil (Eutric Cambisol according to WRB). Organic amendments had a significant effect on AS, MBC and SOC, increased their values compared to the unamended control. The organic amendments showed different effects on AS and MBC. AS was increased the most by straw incorporation and MBC by manure application. The magnitude of temporal variability of AS and MBC differed. Presumably, the different effects of organic amendments and the different degrees of temporal variability explain why there was only a weak (0.173) correlation between AS and MBC. AS did not correlate with SOC or grain yield. MBC correlated (0.339) with SOC but not with the grain yield. The N fertilizer dose did not have a significant effect on AS and MBC, but had a significant effect on SOC and grain yield.
Die akute Herzinsuffizienz: weit mehr als nur ein kardiales Problem

Schmitt Die akute Herzinsuffizienz bedarf neben der auf Stabilisierung und Rekompensation ausgerichteten Akutbehandlung auch der Klärung der Ätiologie bzw. Dekompensationsursache einer neu diagnostizierten bzw. chronischen Herzinsuffizienz. Begleitende Komplikationen oder Beeinträchtigungen anderer Organsysteme erschweren die Therapie und erfordern beim Übergang zum kardiogenen Schock nicht selten die Ausschöpfung aller Möglichkeiten der modernen Intensivtherapie.
Kinetics of Biodiesel Production from Soya Bean Soap Stock

Low quality lipids such as soyabeanrsoapstock, a by-product of vegetable oil processing can be used as a viable feedstock for the production of biodiesel due to its high yield capacity, availability, and low cost. Sodium hydroxide and methanol were used as catalyst and solvent respectively while n–hexane was added as a co-solvent. Kinetics of the transesterification reaction mechanismfor soyabeansoapstock with and without co-solvent (n-hexane) was carried out using models proposed by Singh & Fernando, (2007) to determine the reaction order and rate constant at different temperatures (45°C, 55°C and 65°C). Similar rate constants were obtained (with and without co-solvent) though with slightly different R2 values showing that n-hexane does not distort the chemistry of the reaction. Negative and very low R2 values obtained at temperatures 45°C and 65°C further affirms 55°C as the optimum temperature for the reaction. An activation energy of 74 KJ/mol and frequency factor of 2.9 was also obtained. Findings from the studyshows that soyabeansoapstock is a viable feedstock for the production of biodiesel and n-hexane was a suitable co-solvent in the transesterification of low quality lipids (soyabean soap stock). A rate constant of 0.0008 min-1 and reaction order of 2 was obtained for the transesterification reaction.
Multitype Damage Detection of Container Using CNN Based on Transfer Learning

Due to the repeated bearing of mechanical operations and natural factors, the container will suffer various types of damage during use. Adopting effective container damage detection methods plays a vital role in prolonging the service life and using function. This paper proposes a multitype damage detection model for containers based on transfer learning and MobileNetV2. In addition, a data set containing nine typical types of container damage is established. To ensure the validity and practicability of the model, we conducted tests and verifications in the actual port environment. The results show that the model can identify multiple types of container damage. Compared with the existing models, the damage detection model proposed in this paper can ensure the identification effect of various types of container damage, which is more suitable for the actual container detection situation. This method can provide a new idea of damage detection for container management in ports.
VISCNN: A tool for Visualizing Interpretable Subgraphs in CNNs

Deep convolutional neural networks are not only a powerful model class for a range of computer vision problems, but also a highly interpretable model class. Numerous tools have been developed for probing the image filtering process latent in CNNs, with respect to both data representation, what latent features in the network encode, and data processing, how learned algorithms achieve those representations. Unfortunately, with respect to data processing interpretability, the sheer number of operations performed by deep CNNs makes it difficult to follow the ’full’ algorithm that leads from pixel inputs to deep layer features. To combat this barrier to interpretability we’ve developed VISCNN, a tool for visualizing interpretable subgraphs in CNNs. VISCNN leverages methods from neural network pruning in order to quickly query CNNs for modular subgraphs that preserve the expression of downstream features. These subgraphs can be extracted along a continuum of complexities, allowing the researcher to ’build-up’ their understanding of how the network generates rich features. VISCNN natively integrates a range of interpretability tools to aid in the exploration of subgraphs. In this article we lay out the methods underlying VISCNN, provide evidence for the efficacy of those methods, demonstrate the flexible use-cases for the tool, and highlight some interesting discoveries we’ve made using VISCNN.
Postural Habits and Joint and Muscle Pain of Iranian School-Aged Students Undergoing Virtual Classes During the COVID-19 Pandemic: A Cross Sectional Study

Background The current lifestyle, with its growing use of contemporary technologies, has resulted in changes in people's behavior, causing them to become increasingly sedentary and to develop unhealthy body habits. An essential variable determining an individual's physical and emotional well-being is posture. The purpose of this study was to investigate the postural habits and any related joint and muscle pain among school-aged students in Iran during the COVID-19 quarantine. Methods The present study used a cross-sectional methodology. An online survey was utilized to measure participants' postural habits and joint and muscle pain during the COVID-19 quarantine in Iran. Participants self-reported their postural habits and any joint and muscle pain during the COVID-19 epidemic. A chi-square test was used to determine the differences in the distribution of the participant responses (P < 0.05). Results The survey was completed by 43,660 school-aged students (15,532 boys and 28,128 girls; ages 8–17 years). The results indicated that 57% of the students reported that they did not maintain correct posture while taking virtual classes during the COVID-19 pandemic. The results revealed the following postural details, leaning forward (28%), leaning backward (11%) or curving (18%) during virtual classes. The majority of respondents (54%) reported feeling some joint or muscle pain while taking virtual classes during the COVID-19 pandemic. The greatest pain was reported in the neck (28%), upper back (14%) and lower back (13%). Conclusion These findings can help inform efforts to protect and promote children's health and posture during the COVID-19 pandemic. With the reopening of schools following the quarantine period, the findings from this study indicate that screening students for health risks such as body postural status will be necessary.