Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Heat Stress on Heart Rate Variability in Free-Moving Sheep and Goats Assessed With Correction for Physical Activity

Heart rate variability (HRV) is the heart beat-to-beat variation under control of the cardiovascular function of animals. Under stressed conditions, cardiac activity is generally regulated with an upregulated sympathetic tone and withdrawal of vagal tone; thus, HRV monitoring can be a non-invasive technique to assess stress level in animals especially related to animal welfare. Among several stress-induced factors, heat stress is one of the most serious causes of physiological damage to animals. The aim of this study was to assess the effects of heat stress on HRV in small ruminants under free-moving conditions. In three experimental periods (June, August, and October), inter-beat intervals in sheep and goats (three for each) in two consecutive days were measured. HRV parameters were calculated from the inter-beat interval data by three types of analyses: time domain, frequency domain, and non-linear analyses. The temperature–humidity index (THI) was used as an indicator of heat stress, and vectorial dynamic body acceleration (VeDBA) was calculated to quantify the physical activity of the animals tested. First, we investigated correlations of THI and VeDBA with HRV parameters; subsequently, THI was divided into five categories according to the values obtained (≤ 65, 65–70, 70–75, 75–80, and >80), and the effects of the THI categories on HRV parameters were investigated with and without correcting for the effects of physical activity based on the VeDBA. The results indicated that HRV significantly decreased with increasing THI and VeDBA. For non-linear HRV parameters that were corrected for the effects of physical activity, it was suggested that there would be a threshold of THI around 80 that strongly affected HRV; high heat stress can affect the autonomic balance of animals non-linearly by inducing the sympathetic nervous system. In conclusion, to assess psychophysiological conditions of unrestrained animals by HRV analysis, the confounding effect of physical activity on HRV should be minimized for a more precise interpretation of the results.
Human-centred Design of Self-management Health Systems with and for Older Adults: Challenges and Practical Guidelines

: Human-centred design approaches that involve older adults are becoming more and more commonplace in the development of digital systems to support self-management of health and well-being, ultimately contributing to ageing in place. In order to understand and design effective solutions, it is important to involve older adults from the beginning and throughout the iterative development process. However, conducting studies with this target population presents challenges and therefore requires speciﬁc adaptations. In this study, we reﬂect on the different human-centred methods, e.g., focus group discussions, interviews, and user-tests, that were conducted with older adults. In total, 81 participants (aged 65 to 97) were involved in a four-year human-centred design process. On the basis of a thematic analysis, we reﬂect on the different methodological intricacies encountered and identify four themes: ‘a life course marked by grand experiences’, ‘a discomfort with unknown digital technologies’, ‘impact of age-related impairments’, and ‘relatedness as core to research participation’. Finally, insights and practical guidelines are formulated to help future researchers undertake more effective and useful human-centred study designs with older adults.
The Separation of Cu2+ and Ni2+ from Fe3+ Ions by Complexation with Alginic Acid and Using a Suitable Membrane

ABSTRACT In this study the EC-PEG 4000 alloy membrane was used as a filter for the concentration and separation of metallic ions. Its permeability was first studied, and it was found that it is permeable to Cu2+ and Ni2+ but not to Fe3+ ions. This property of an EC-PEG 4000 alloy membrane was used to separate Fe3+ from Ni2+ and Cu2+ in aqueous solutions. Alginic acid was used as a complexing agent and the separation was carried out at different pH values for different concentrations of the complexing agent for Fe3+/Ni2+ and Fe3+/Cu2+ pairs separately.
The Usability of Mobile Enterprise Resource Planning Systems

This paper presents a model for end-user-based evaluation of the usability of mobile ERP systems. Recent studies show that the mobile use of ERP software is both, crucial for user satisfaction and still improvable for many ERP systems. Therefore, ERP-specific usability models are necessary to meet the requirements of ERP systems in comparison to e.g., apps for private use. The research objective is therefore to develop a model that enables software providers to measure and benchmark the usability of their software products. Therefore, we introduce after a literature research a usability model for the mobile application of ERP systems (mobile ERP). Our usability model is based on the widely used PACMAD model. We modify the PACMAD model for the context of ERP systems. This results in a new end-user-based model, that differs from existing models, because of its focus on end-users and the ERP context. Subsequently, the model will be tested in an initial study with 19 test persons. The results of the study indicate two main findings. Firstly, the model allows the measurement of the usability of mobile ERP systems. Secondly, some key factors substantially affect the usability of mobile ERP systems.
Degradation kinetics of anthocyanins in freeze-dried microencapsulates from lowbush blueberries (Vaccinium angustifolium Aiton) and prediction of shelf-life

ABSTRACT The addition of anthocyanins in food products is limited by their instability. In this study, an extract containing anthocyanins from lowbush blueberries was encapsulated by freeze-drying in three maltodextrin matrices with different dextrose equivalents, for potential use as a colorant and functional ingredient. The resultant encapsulates differed in physicochemical properties. Kinetic and thermodynamic parameters for anthocyanin degradation in accelerated shelf life studies at 70, 80, and 90°C were determined using the Arrhenius model. The half-life (t1/2) varied from 0.96 h (freeze-dried extract) to 108 days (encapsulated extract). Our results demonstrate that freeze-dried berry encapsulates effectively retard anthocyanin degradation during storage.
An Agri-Food Supply Chain Traceability Management System based on Hyperledger Fabric Blockchain

Consumers are nowadays very interested in food product quality and safety. It is challenging to track the provenance of data and maintain its traceability throughout the whole supply chain network without an integrated information system. For this purpose, Agriculture and Food (Agri-Food) supply chains are becoming complex systems which are responsible, in addition to track and store orders and deliveries, to guarantee transparency and traceability of the food production and transformation process. However, traditional supply chains are centralized systems, mainly depending on a third party for trading and trusting purposes. In this paper we propose a fully distributed approach, based on blockchain technology, to define a supply chain management system able to provide quality, integrity and traceability of the entire supply chain process. A prototype based on Hyperledger Fabric has been designed and developed in order to show the effectiveness of the approach and the coverage of the main use cases needed in a supply chain network.
A Graph-Based Similarity Approach to Classify Recurrent Complex Motifs from Their Context in RNA Structures

This article proposes to use an RNA graph similarity metric, based on the MCES resolution problem, to compare the occurrences of specific complex motifs in RNA graphs, according to their context represented as subgraph. We rely on a new modeling by graphs of these contexts, at two different levels of granularity, and obtain a classification of these graphs, which is consistent with the RNA 3D structure. RNA many non-translational functions, as a ribozyme, riboswitch, or ribosome, require complex structures. Those are composed of a rigid skeleton, a set of canonical interactions called the secondary structure. Decades of experimental and theoretical work have produced precise thermodynamic parameters and efficient algorithms to predict, from sequence, the secondary structure of RNA molecules. On top of the skeleton, the nucleotides form an intricate network of interactions that are not captured by present thermodynamic models. This network has been shown to be composed of modular motifs, that are linked to function, and have been leveraged for better prediction and design. A peculiar subclass of complex structural motifs are those connecting RNA regions far away in the secondary structure. They are crucial to predict since they determine the global shape of the molecule, therefore important for the function. In this paper, we show by using our graph approach that the context is important for the formation of conserved complex structural motifs. We furthermore show that a natural classification of structural variants of the motifs emerges from their context. We explore the cases of three known motif families and we exhibit their experimentally emerging classification.
Ontology-based Approach for Business Opportunities Recognition

The Web is the main source of business related information due to its accessibility, diversity and huge size, resulting from the high degree of collective engagement. However, extracting relevant information from this vast environment to use in decision making by organizational staff is a great challenge. In particular, the gathering of information related to business opportunities and its effective treatment to extract pieces of useful information to predict consumer and market behavior is essential for organizational survival. Although some approaches for handling business related information from Web have been proposed in literature, they under exploit contextual semantic patterns for information extraction, e.g., the set of properties related to the business opportunity topic. The present article proposes an ontology-based approach to recognize business opportunities from business related news extracted from the Web. Experimental results show that of our approach can effectivelly recognize business opportunities, reaching up to 90% of accuracy.
Ethical Concerns of the General Public regarding the Use of Robots for Older Adults

Due to demographic change the proportion of older adults in the population is increasing, which means that the proportion of people with limitations making it difficult to live independently at home or in institutions is also increasing. As a nursing shortage is evident today and expected to increase in the coming years, several strategies are needed to address these challenges. One possibility is the use of robots to support older adults and their caregivers. Taking ethical considerations into account is an essential task. Agreement with ethical concerns identified in the literature was surveyed in a Swiss sample. The participants expressed their agreement with seven predetermined items but to varying degrees. Possible reduced human contact or problems with sensitive data received the most agreement. Nearly half of the respondents expressed no concerns about job loss or violation of privacy. Additional concerns that the older adults would be deceived, their self-determination compromised, or their dignity violated received less agreement. Further ethical considerations for future studies are discussed.
Assessing the Effectiveness of Multilingual Transformer-based Text Embeddings for Named Entity Recognition in Portuguese

: Recent state of the art named entity recognition approaches are based on deep neural networks that use an attention mechanism to learn how to perform the extraction of named entities from relevant fragments of text. Usually, training models in a speciﬁc language leads to effective recognition, but it requires a lot of time and computational resources. However, ﬁne-tuning a pre-trained multilingual model can be simpler and faster, but there is a question on how effective that recognition model can be. This article exploits multilingual models for named entity recognition by adapting and training tranformer-based architectures for Portuguese, a challenging complex language. Experimental results show that multilingual trasformer-based text embeddings approaches ﬁne tuned with a large dataset outperforms state of the art trasformer-based models trained speciﬁcally for Portuguese. In particular, we build a comprehensive dataset from different versions of HAREM to train our multilingual transformer-based text embedding approach, which achieves 88.0% of precision and 87.8% in F1 in named entity recognition for Portuguese, with gains of up to 9.89% of precision and 11.60% in F1 compared to the state of the art single-lingual approach trained speciﬁcally for Portuguese.
In Continuous Software Development, Tools Are the Message for Documentation

: In Continuous Software Development, a wide range of tools are used for all steps in the life cycle of a software product. Information about the software product is distributed across all those tools and not stored in a central repository. To better understand the software products, the following media elements must be taken into account: the types of information, the tools, tool-stacks and ecosystems to manage the (types of) information, and the amount of structure. In the tile, “tools” refers to the phrase “the medium is the message”, coined by McLuhan and Fiore (1967) pointing that the medium should be subject of investigation as well as the content of the message. In this paper the tools include tool stacks, ecosystems, the types of information and amount of structure; they deﬁne the content of the message. Our approach to present relevant information to different stakeholders is rooted in understanding and utilizing these aspects. In this respect, the amount of structural variety of information deﬁnes the value for information creation and retrieval, including the tools to process that information. Documentation is considered an information type that is processed through tools in a software development ecosystem.
An Improved Deep Learning Application for Leaf Shape Reconstruction and Damage Estimation

Leaf damage estimation is an important research method, metric, and topic regarding both agricultural and ecological studies. The majority of previous studies that approach shape reconstruction work with parametric curves, lacking generality when treating leaves with different shapes. Other appliances try to calculate the damage without estimating the original leaf form. In this work, we propose a procedure to predict the original leaf shape and calculate its defoliation based on a Conditional Generative Adversarial Network (Conditional GAN). We trained and validated the algorithm with a dataset with leaf images from 33 different species. Also, we tested the produced model in another dataset, containing images from leaves from 153 different species. The results indicate that this model is better than the literature, and the solution potentially works with different leaf shapes, even from untrained species.
Structural model of health-related quality of life in diabetic patients based on mental well-being and quality of sleep mediated by self-care behaviors

Background: Diabetes has long-term complications and therefore affects the health of the community in addition to the individual. Diabetes can have significant psychological effects on health and delay the recovery of the disease. Objective: This study aimed to determine the causal model of health-related quality of life based on subjective well-being and sleep quality mediating by self-care behaviors in diabetic patients. Methods: This correlational study was conducted using the path analysis statistical method. The statistical population included all middle-aged patients with diabetes who were referred to the endocrinologists of Bushehr province in 2019, among whom 195 people were selected by the available sampling method. Data obtained by SF-36 Health-Related Quality of Life Questionnaire, Diabetes self-care questionnaire, Pittsburgh Sleep Quality Questionnaire, and Mental Well-Being Scale. The data were analyzed using the path analysis method using SPSS.22 and Amos.22 software. Results: The results showed that both the variables of sleep quality and mental well-being through self-care had a direct and significant relationship with quality of life (p <0.001). The direct relationship between sleep quality and quality of life was not significant. But there was a significant direct relationship between mental well-being and quality of life (p <0.001). Conclusion: It can be concluded that sleep quality and mental well-being affect the self-care that the patient chooses, they can predict the quality of life of diabetic patients.
Internal Auditing Paradigm Shift: From Traditional Audits to Audits in the 4.0 Industry Era

:- In the Era of Industry 4.0, which is digital-based and the rapid development of technology like now, it has changed the paradigm or way of seeing someone in the implementation of internal audit for organizations. This empirical study aims to analyze the shift in the paradigm of a traditional internal audit into an internal audit in the era of Industry 4.0 in providing added value to the organization. This research is an empirical study using a quantitative approach. The sampling technique used purposive sampling method, and the data analysis technique used was Structural Equation Modeling. The data processed with the smartPLS application software. The study results reveal that internal audit in the Industrial Era 4.0 positively and significantly mediates the effect of a traditional internal audit on organizational value-added. Also, internal audit in the Industrial Era 4.0 to moderate potentially the relation between a traditional internal audit on organizational value-added. Hopefully, this research can contribute to internal audit studies related to the shift in the traditional internal audit paradigm into Era 4.0 internal audit in providing added value to organizations.
WEATHERING PROPERTIES OF SCOTS PINE TREATED WITH SOME CHEMICALS

This study was aimed to investigate the gloss, surface hardness, surface roughness, and color changes of Scots pine that was treated with some chemicals after six months of weathering exposure. Chromated copper boron (CCB), vacsol aqua, and imersol aqua were used as the impregnation chemicals. Scots pine wood specimens were impregnated with 3% aqueous solutions of the chemicals according to ASTM standards.The results showed that while chemical treatment caused a decrease in surface hardness, gloss, and lightness of wood specimens, it increased the surface roughness of the wood before weathering. While the gloss values of all treated Scots pine specimens increased after weathering, the gloss loss was observed for the untreated specimen after weathering. All of the treated and untreated Scots pine wood surfaces were softened after weathering. The chemical treatment caused a decrease of surface roughness of wood after weathering. While in terms of the gloss, surface hardness, and surface roughness changes, the vacsol aqua-treated pine specimens gave the best results. The CCB-treated Scots pine showed the best color stability after weathering.
On the development of year-Class strength and cohort variability in two northern California rockfishes

Southwest Fisheries Science Center National Marine Fisheries Service. NOM 3 J 50 Paradise Drive. Tiburon. California 94920 Abstract. -We attempt to determine at what point in the early life history year-class strength is established in two species of rockfish, Sebastes mystinus andSebastes f7,avidus. We compare abundance estimates of young-ofthe-year rockfish before and after settlement to determine whether this life history transition alters relative yearclass strength. Estimates ofpelagicjuvenile abundance obtained in midwater trawl surveys and indices derived from direct underwater observations of settled juveniles over a common 10year period (1983-92) were in good agreement (r=0.58-0.86). Trends in rockfish year-class strength were similar, in spite ofsubstantial spatial separation between the trawl and nearshore study areas (50-350 km) and differences in the timing of the surveys (2--4 months). Thus, settlement seems to have little effect on relative year-class strength. Estimates of stage-specific interannual cohort variability show that coefficients of variation (CV's) for five species of late-stage pelagic juvenile rockfish ranged from 0.96 to 2.25. Cohort variability measured at recruitment to the fishery (2-7 years) is much less (CV's=0.60-1.39), suggesting that year-class strength has been determined by the late pelagic juvenile phase. Because cohort variability declines from the recently settled juvenile stage to the age at recruitment to the fishery, some form of compensatory mortality may ameliorate interannual differences in reproductive success.
A Congestion control of TCP through Reactive Routing protocols for MANET

BSTRACT A generally utilized TCP convention is initially produced for wired systems. It has numerous variations to distinguish and control clog in the system. Be that as it may, Congestion control in all TCP variations doesn't show comparable execution in MANET as in wired system due to the deficiency identification of blockage. In this paper, we do a presentation examination between TCP variations NEW RENO, SACK and Vegas in AODV and DSR responsive (On-Demand) steering conventions. System traffic between hubs is given by utilizing File Transfer Protocol (FTP) application. Numerous situations are made and the normal estimations of every exhibition boundary are utilized to assess the presentation. The outcomes show that TCP variations perform better as far as throughput and Packet drop with DSR directing convention contrasted and AODV steering convention. TCP variations show a lower Jitter in AODV contrasted and DSR
AN EMPIRICAL ANALYSIS OF MORAL PHILOSOPHIES AFFECTS “BRING YOUR OWN BAGS” INTENTION OF VIETNAMESE YOUNG PEOPLE IN GREEN CONSUMPTION

Limiting plastic bags has become a symbol of a sustainable and environmentally friendly lifestyle. In Vietnam, most young consumers are conscious that plastic bags hazard the environment; however, they tend to prefer plastic bags instead of taking their own bags when shopping due to its convenience. On the basis of the general theory of ethics in marketing and drawn on the recent study of Chan and co-writers (2008), this study assimilated Hunt and Vitell’s (1986) theory of ethics to demonstrate a model analyzing young generation’ intention to “Bring Your Own Bags” (BYOB). Ethically moral concepts are applied to investigate this type of green consumption practice and examine how the Vietnamese young generation’s basic moral philosophies may affect their BYOB intention in this practice. The proposed model is empirically examined by conducting a survey collected from 250 young respondents in Vietnam. Besides, the results indicate the BYOB habit wields the strongest impact on the intention than does the teleological evaluation, which shows a different result compared to previous study (e.g., Chan and co-workers, 2008). Henceforth, by emphasizing the insight into the influence of CSR marketing campaigns on young consumers’ behavior, these findings are valuable to green marketers and organizations in endeavoring to protect the environment.