Miracle-dz/UniFAR-FTUs huggingface dataset:
Link Between Sustainability and Industry 4.0: Trends, Challenges and New Perspectives

The increasing number of studies that underline the relationship between industry 4.0 and sustainability shows that sustainability is one of the pillars of smart factories. Through a bibliometric performance and network analysis (BPNA), this research describes the existing relationship between industry 4.0 and sustainability, the strategic themes from 2010 to March 2019, as well as the research gaps for proposing future work. With this goal in mind, 894 documents and 5621 keywords were included for bibliometric analysis, which were treated with the support of Science Mapping Analysis Software Tool (SciMAT). The bibliometric performance analysis presented the number of publications over time and the most productive journals. The strategic diagram shown 12 main research clusters, which were measured according to bibliometric indicators. Moreover, the network structure of each cluster was depicted, and the patterns found were discussed based on the documents associated to the network. Our findings show the scientific efforts are focused to enhance economic and environmental aspects and highlights a lack of effort relating the social sphere. Finally, the paper concludes the challenges, perspectives, and suggestions for the potential future work in the field of study relating to industry 4.0 and sustainability.
Algorithms for U-Model-Based Dynamic Inversion (UM-Dynamic Inversion) for Continuous Time Control Systems

To setup a universal proper user toolbox from previous individual research publications, this study generalises the algorithms for the U-model dynamic inversion based on the realisation of U-model from polynomial and state-space described continuous-time (CT) systems and presents the corresponding U-control system design in a systematic procedure. Then, it selects four CT dynamic plants plus a wind energy conversion system for simulation case studies in Matlab/Simulink to test/demonstrate the proposed U-model-based design procedure and dynamic inversion algorithms. This work can be treated as a U-control system design user manual in some sense.
Feature Selection for High Dimensional Data Using Weighted K-Nearest Neighbors and Genetic Algorithm

Too many input features in applications may lead to over-fitting and reduce the performance of the learning algorithm. Moreover, in most cases, each feature containing different information content has different effects on the prediction target. Therefore, a feature selection method for calculating the importance of each feature, called WKNNGAFS, is proposed in this paper. In this method, the genetic algorithm (GA) is adopted to search the optimal weight vector, the value of the <inline-formula> <tex-math notation="LaTeX">$i$ </tex-math></inline-formula>th component of which corresponds to the contribution degree of the <inline-formula> <tex-math notation="LaTeX">$i$ </tex-math></inline-formula>th feature to the classification from a global perspective. Besides, weighted K-nearest neighbors algorithm (WKNN), which takes both the different contributions of nearest neighbors and the different classification ability of each feature into account, is used to determine the target label. To evaluate the effectiveness of the proposed method, nine existing feature selection methods are compared with it on 13 real datasets, including 6 high dimensional microarray datasets. Experimental results demonstrate the method is more effective and can improve classification performance.
Perceived efficacy of COVID-19 restrictions, reactions and their impact on mental health during the early phase of the outbreak in six countries

The COVID-19 pandemic forced millions of people to drastically change their social life habits as governments employed harsh restrictions to reduce the spread of the virus. Although beneficial to physical health, the perception of physical distancing and related restrictions could impact mental health. In a pre-registered online survey, we assessed how effective a range of restrictions were perceived, how severely they affected daily life, general distress and paranoia during the early phase of the outbreak in Brazil, Colombia, Germany, Israel, Norway and USA. Most of our over 2000 respondents rated the restrictions as effective. School closings were perceived as having the strongest effect on daily life. Participants who believed their country reacted too mildly perceived the risk of contracting SARS-CoV-2 to be higher, were more worried and expressed reduced beliefs in the ability to control the outbreak. Relatedly, dissatisfaction with governmental reactions corresponded with increased distress levels. Together, we found that satisfaction with one's governmental reactions and fear appraisal play an important role in assessing the efficacy of restrictions during the pandemic and their related psychological outcomes. These findings inform policy-makers on the psychological factors that strengthen resilience and foster the well-being of citizens in times of global crisis.
Systematics and Biology of the Deep-Sea Fish Family Gibberichthyidae, a Senior Synonym of the Family Kasidoroidae

The fish family Kasidoroidae Robins and de Sylva (1965) is shown to be based on Atlantic specimens of the unusual prejuvenile stage of the xenoberyciform genus Gibberichthys Parr (1933). Kasidoron edom Robins and de Sylva (1965) is treated as the prejuvenile stage of Gibberichthys pumilus Parr (1933). Kasidoron latifrons Thorp (1969). described from a prejuvenile specimen from the western Indian Ocean, is confirmed to be a separate species, G. latifrons; it is now known from the Indian Ocean and the western and southwestern parts of the Pacific Ocean. Ontogenetic changes from the larval stage to the adult are discussed and illustrated forG. pumilus, particularly the development and loss of the pelvic appendage —a modified third pelvic fin ray —and the development of crests on the head. The prejuvenile stage is found in epipelagic waters, and adults apparently occur in the lower mesopelagic and perhaps upper bathypelagic levels; adults probably do not undergo daily vertical migration. Additional notes on biology are included. Introduction Mirapinniformes. Robins (1966) provided addiA new family of fishes, the Kasidoroidae, was tional comments on the family and order. Myers established by Robins and de Sylva (1965) for a and Fre.hofer (1966) compared the family small western Atlantic species characterized by a Kasidoroidae (incorrectly spelled by them as peculiar pelvic appendage, a modified third pelKasidondae) with their family Megalomycvic fin ray. They included the family in the order tendae Greenwood et al. (1966) listed the family Kasidoridae {sic) in the suborder Mirapin~ . , , . ,. «. „•„ , natoidei, order Cetomimiformes. However, 1 Contribution from the University of Miami, Rosenstiel School of Marine and Atmospheric Science. Biological Results Rosen and Patterson (1969: 456) suggested that, of the University of Miami Deep-Sea Expeditions No. 122. "from illustrations of this fish [Kasidoron edom] This research was supported in part by National Science an( j a brief examination of the holotype we are Foundation research grants GB-893. GB-4472. GB-8047 to the convinced that it j s very closely related to, and senior author, by research grant OCE76-02251 to Dr. Bruce Robison. and by Biological Sh.p Time grants GB-1204 and may be only the larva of, the beryciform GibGA-4569. berichthys pumilus, with which it agrees in al-
Fine-Grained Error Analysis on English-to-Japanese Machine Translation in the Medical Domain

We performed a detailed error analysis in domain-specific neural machine translation (NMT) for the English and Japanese language pair with fine-grained manual annotation. Despite its importance for advancing NMT technologies, research on the performance of domain-specific NMT and non-European languages has been limited. In this study, we designed an error typology based on the error types that were typically generated by NMT systems and might cause significant impact in technical translations: “Addition,” “Omission,” “Mistranslation,” “Grammar,” and “Terminology. ” The error annotation was targeted to the medical domain and was performed by experienced professional translators specialized in medicine under careful quality control. The annotation detected 4,912 errors on 2,480 sentences, and the frequency and distribution of errors were analyzed. We found that the major errors in NMT were “Mistranslation” and “Terminology” rather than “Addition” and “Omission,” which have been reported as typical problems of NMT. Interestingly, more errors occurred in documents for professionals compared with those for the general public. The results of our annotation work will be published as a parallel corpus with error labels, which are expected to contribute to developing better NMT models, automatic evaluation metrics, and quality estimation models.
ROBUST TANX DIFFUSION BARRIER FOR CU-INTERCONNNECT TECHNOLOGY WITH SUBNANOMETER THICKNESS BY METAL-ORGANIC PLASMA-ENHANCED ATOMIC LAYER DEPOSITION

TaNx diffusion barriers with good barrier properties at subnanometer thickness were deposited by plasma-enhanced atomic layer deposition (PE-ALD) from pentakis(dimethylamino)Ta. Hydrogen and/or nitrogen plasma was used as reactants to produce TaNx thin films with a different nitrogen content. The film properties including the carbon and oxygen impurity content were affected by the nitrogen flow during the process. The deposited film has nanocrystalline grains with hydrogen-only plasma, while the amorphous structure was obtained for nitrogen plasma. The diffusion barrier properties of deposited TaN films for Cu interconnects have been studied by thermal stress test based on synchrotron x-ray diffraction. The results indicate that the PE-ALD TaN films are good diffusion barriers even at a small thickness as 0.6nm. Better diffusion barrier properties were obtained for higher nitrogen content. Based on a diffusion kinetics analysis, the nanocrystalline microstructure of the films was responsible for the bette.
Leveraging Multilingual Resources for Language Invariant Sentiment Analysis

Sentiment analysis is a widely researched NLP problem with state-of-the-art solutions capable of attaining human-like accuracies for various languages. However, these methods rely heavily on large amounts of labeled data or sentiment weighted language-specific lexical resources that are unavailable for low-resource languages. Our work attempts to tackle this data scarcity issue by introducing a neural architecture for language invariant sentiment analysis capable of leveraging various monolingual datasets for training without any kind of cross-lingual supervision. The proposed architecture attempts to learn language agnostic sentiment features via adversarial training on multiple resource-rich languages which can then be leveraged for inferring sentiment information at a sentence level on a low resource language. Our model outperforms the current state-of-the-art methods on the Multilingual Amazon Review Text Classification dataset [REF] and achieves significant performance gains over prior work on the low resource Sentiraama corpus [REF]. A detailed analysis of our research highlights the ability of our architecture to perform significantly well in the presence of minimal amounts of training data for low resource languages.
Regrowth patterns, defences and allocation of stored energy reserves in Acacia seedlings following herbivory and fire.

Disturbances, such as herbivory and fire are commonplace in savanna ecosystems. The effects of herbivory and fire on growth and defences of adult trees is a much studied filed in plant ecology. However, there are comparatively few studies that have investigated the effects of herbivory and fire on seedling growth, defences and establishment. African Acacia trees are common and widespread, and are suggested to be keystone species in savanna ecosystems. They have been shown to significantly positively increase soil characteristics, such as soil moisture and infiltration, while also increasing spatial heterogeneity of savannas. These trees are distinguishable by their array of physical and chemical defences. Physical defences are either in the form of spines (physiologically costly to produce, thus considered inducible) or prickles (physiologically cheap to produce, thus considered constitutive), while condensed tannins are the most common form of chemical defences. Adult Acacia trees have been shown on several occasions to be highly resilient to disturbance events, primarily due to their large size. However, the effects of herbivory and fire on Acacia seedlings have been little studied despite their apparent importance for our understanding of African savanna ecosystem functioning. In two separate experiments, this thesis aimed to investigate the individual and combined effects of simulated herbivory and fire on the regrowth, defences, and total non-structural carbohydrates (TNC) of the seedlings of several Acacia species, while also testing the Resource Availability Hypothesis (RAH) (14 Acacia species) and the Expanded Growth-Differentiation Balance Hypothesis (GDBH) (three Acacia species). The RAH (Coley, Bryant & Chapin 1985) and the GDBH (Loomis 1932) both assume that arid-adapted (resource-poor) species are slow growing, with low tissue turnover rates. Contrastingly, humid-adapted (resource-rich) species have fast growth rates and thus a high tissue turnover rate. Therefore, arid-adapted species are predicted to invest more carbohydrate reserves in defence after a disturbance event, in order to defend new photosynthetic material. Conversely, humid-adapted (resource-rich) species are predicted to invest carbohydrate reserves into increased growth after a disturbance event, in order to compensate for tissue loss. The first greenhouse experiment found that, in accordance with the RAH, humid-adapted species displayed elevated growth rates compared to arid-adapted species. Overall, defences significantly increased after herbivory, but significantly decreased after fire. Herbivory was also
Ancient crested penguin constrains timing of recruitment into seabird hotspot

New Zealand is a globally significant hotspot for seabird diversity, but the sparse fossil record for most seabird lineages has impeded our understanding of how and when this hotspot developed. Here, we describe multiple exceptionally well-preserved specimens of a new species of penguin from tightly dated (3.36–3.06 Ma) Pliocene deposits in New Zealand. Bayesian and parsimony analyses place Eudyptes atatu sp. nov. as the sister species to all extant and recently extinct members of the crested penguin genus Eudyptes. The new species has a markedly more slender upper beak and mandible compared with other Eudyptes penguins. Our combined evidence approach reveals that deep bills evolved in both crested and stiff-tailed penguins (Pygoscelis) during the Pliocene. That deep bills arose so late in the greater than 60 million year evolutionary history of penguins suggests that dietary shifts may have occurred as wind-driven Pliocene upwelling radically restructured southern ocean ecosystems. Ancestral area reconstructions using BioGeoBEARS identify New Zealand as the most likely ancestral area for total-group penguins, crown penguins and crested penguins. Our analyses provide a timeframe for recruitment of crown penguins into the New Zealand avifauna, indicating this process began in the late Neogene and was completed via multiple waves of colonizing lineages.
Seed germination traits in the rare sandstone rockhouse endemic Solidago albopilosa (Asteraceae)

Abstract. Understanding how temperature and other environmental cues influence germination traits can aid in the conservation and management of rare plant species. We examined the germination niche of the narrow endemic Solidago albopilosa, a perennial herb restricted to sandstone rockhouses in the southeastern United States. We experimentally subjected seeds to varying lengths of cold stratification, incubation temperatures, photoperiods, and seasonal temperature cycles that simulated current ambient temperatures and a climate warming scenario. Seeds exhibited conditional physiological dormancy and germinated at greater proportions following chilling than when fresh in all temperatures and light regimes tested. In seasonal temperature cycles that simulate those after seed dispersal in late autumn, seeds began germinating after 9 wk in late-winter temperatures (February), with peak germination occurring in early spring (March). Germination timing shifted 1 wk earlier in the spring with climate warming, but germination proportions did not differ among treatments. Buried seeds did not persist to the second germination season (spring), suggesting minimal carryover among years. Seed viability declined in the smallest (< 50 stems) populations but varied less among sites with different levels of human disturbance. A germination niche defined by conditional physiological dormancy, a minimal chilling requirement, dark germination, seasonal germination cueing, and low persistence in the soil is consistent with the expectation of a perennial herb from a stable habitat, but diverges in some aspects from seed traits found in Solidago species of grasslands and open habitats. These results suggest that dormancy or germination do not limit seed regeneration in most natural populations nor contribute to S. albopilosa's rarity.
Identification of essential metabolites in metabolite networks

Metabolite essentiality is an important topic in systems biology and as such there has been increased focus on their prediction in metabolic networks. Specifically, two related questions have become the focus of this field: how do we decrease the amount of gene knock-out work loads and is it possible to predict essential metabolites in different growth conditions? Two different approaches to these questions: interaction-based method and constraintsbased method, are conducted in this study to gain in depth understanding of metabolite essentiality in complex metabolic networks. In the interaction-based approach, the correlations between metabolite essentiality and the metabolite network topology are studied. With the idea of predicting essential metabolites, the topological properties of the metabolite network are studied for theMycobacterium tuberculosis model. It is found that there is strong correlation between metabolite essentiality and the degree and the number of shortest paths through the metabolite. Welch’s two sample T-test is performed to help identify the statistical significance of the differences between groups of essential metabolites and non-essential metabolites. In the constraint-based approach, essential metabolites are identified in-
Do the same socio-demographic variables predict testing uptake and sero-status? HIV and syphilis among an observational sample of Chinese men who have sex with men in Shanghai, China

HIV and syphilis are pronounced among men who have sex with men (MSM) in China and often occur as co-infections, while testing remains low. Few studies examine common predictors across these outcomes. This observational venue-based sample of 546 MSM in Shanghai, China used a common set of psychosocial predictors to construct logistic models for the outcomes (HIV non-testing, syphilis non-testing, HIV sero-status, and syphilis sero-status). Fifty-seven (10.7%) participants tested positive for HIV, 126 (23.5%) for syphilis, and 33% of HIV-positive participants had a co-infection. Non-sex working MSM had consistently higher odds of HIV and syphilis non-testing (OR= 2.2, 95% CI 1.4–3.5, p < 0.001; OR = 2.4, 95, 95% CI 1.5–3.8, p < 0.001, respectively) compared to ‘money boy’ sex workers. Participants with a 0 score on HIV knowledge had 4.1 times (95% CI 1.4–12.5, p = 0.01) the odds of reporting HIV non-testing, 6.0 (95% CI 1.96–18.5, p < 0.01) times the odds of reporting non-testing for syphilis, and 8.44 times (95% CI 1.19–59.7, p = 0.03) the odds of testing positive for HIV, compared to a score of 8. The results highlighted the importance of integrating HIV/syphilis education and promoting testing for both HIV and syphilis among all sub-groups of MSM in China.
Detoxification of Aflatoxins in Foods and Feeds by Physical and Chemical Methods 1.

Detoxification of aflatoxin contaminated foods has been a continuing challenge for the food industry. This article examines primarily the detoxification of aflatoxin B1 in foods and feeds. The sensitivity of aflatoxins to physical or chemical treatments is affected by many factors including moisture content, location of the toxins in the food, forms of the food, and interactions of the toxins with food components. Thus, it is important to understand these factors before a specific detoxification method can be recommended. In addition, the use of any applicable treatment conditions should not cause undesirable alterations to the nutritional and organoleptic qualities of the foods. The combined use of physical and chemical treatment procedures appear to provide a better prospect than the use of only a single treatment procedure. A reevaluation of the present processing conditions may shed light on the development of modified procedures to effectively degrade aflatoxins in foods, while still achieving other processing objectives.
Examining Students’ and Teachers’ Perceptions of Differentiated Practices, Student Engagement, and Teacher Qualities

The purpose of this study was to compare students’ and teachers’ perceptions of differentiated practices, student engagement, and the qualities of an effective teacher by fostering student voice. Participants included 802 students and 867 teachers from Northern Sydney government schools in Australia. The researcher used a convergent parallel mixed methods design, including online questionnaires and face-to-face interviews. Years 5 to 12 gifted students (n = 38) from four schools acted as co-researchers at the methodological level. The student co-researchers co-designed and disseminated the student survey, and interviewed their own teachers. Significant differences were found between the students’ and the teachers’ perceptions of differentiated practices, student engagement, and the qualities of an effective teacher. The study’s findings highlight the need for a shared understanding of perspectives by both teachers and students to foster schoolwide optimal learning and teaching processes.
Seven new Tettigoniidae (Orthoptera) and a new Blattellidae (Blattodea) from the Durmitor area of Montenegro with notes on previously known taxa.

Eight new species or subspecies of orthopteroid insects discovered by the authors during expeditions to the Durmitor area in Montenegro are described; seven of them belong to Ensifera, Phaneropteridae: Leptophyes intermedia sp. n. , Isophya clara sp. n. , Poecilimon pseudornatus sp. n. , Poecilimon nonveilleri sp. n. , Poecilimon affinis dinaricus ssp. n. , Poecilimon albolineatus sp. n. , Tettigoniinae: Pachytrachis tumidus sp. n. , and one to Blattodea, Ectobiinae: Phyllodromica montenegrina sp. n. Diagnostic keys to taxa of the P. affinis-ornatus group and to the species of Pachytrachis are provided. Poecilimon elegans Brunner v.W. , 1878 is re-described and a lectotype selected. Diagnostic notes and images for species related to the new taxa are also given. Within the genera Isophya, Poecilimon and Pachytrachis stridulation is used to verify the status of the species studied.