Miracle-dz/UniFAR-FTUs huggingface dataset:
Future CMS for e-Business: Will Microservices and Containerization Change the Game?

Content Management Systems (CMS) are widely adopted commodity applications today. Well-established implementations exist since many years, both commercial and Open Source, e.g. WordPress or Drupal. In consequence, research on CMS has strongly declined since its peak more than a decade ago. However, in recent years new trends for building and running large-scale web applications emerged, such as Node.js, microservice architectures and containerization, while most established CMS still use a traditional monolithic architecture. This rises the question how these emerging new technologies will challenge those established CMS implementations. Therefore, in this paper a microservice architecture for an examplified e-business CMS is proposed, and a Proof-of-Concept implementation is described. The approach is evaluated with respect to its feasibility using a qualitative empirical study. Results indicate that the approach is well-suited for building more state-of-the-art CMS in the near future, which are likely to challenge the position of the traditional monolithic implementations.
An efficient co-Attention Neural Network for Social Recommendation

The recent boom in social networking services has prompted the research of recommendation systems. The basic assumption behind these works was that "users’ preference is similar to or influenced by their friends". Although many studies have attempted to use social relations to enhance recommendation system, they neglected that the heterogeneous nature of online social networks and the variations in users' trust of friends according to different items. As a natural symmetry between the latent preference vector of the user and her friends, we propose a new social recommendation method called ScAN (short for “co-Attention Neural Network for Social Recommendation”). ScAN is based on a co-attention neural network, which learns the influence value between the user and her friends from the historical data of the interaction between the user/her friends and an item. When the user interacts with different items, different attention weights are assigned to the user and her friends respectively, and the user’s new latent preference feature is obtained through an aggregation strategy. To enhance the recommendation performance, a network embedding technique is utilized as a pre-training strategy to extract the users’ embedding and to incorporate the extracted factors into the neural network model. By conducting extensive experiments on three different real-world datasets, we demonstrate that our proposed method ScAN achieves a superior performance for all datasets compare with state-of-the-art baseline methods in social recommendation task.CCS CONCEPTS• Information systems → Recommender systems • Computing methodologies → Machine learning
Improving Collaborative Filtering’s Rating Prediction Quality by Exploiting the Item Adoption Eagerness Information

Collaborative filtering generates recommendations tailored to the users’ preferences by exploiting item ratings registered by users. Collaborative filtering algorithms firstly find people that have rated items in a similar fashion; these people are coined as “near neighbors” and their ratings on items are combined in the recommendation generation phase to predict ratings and generate recommendations. On the other hand, people exhibit different levels of eagerness to adopt new products: according to this characteristic, there is a set of users, termed as “Early Adopters”, who are prone to start using a product or technology as soon as it becomes available, in contrast to the majority of users, who prefer to start using items once they reach maturity; this important aspect of user behavior is not taken into account by existing algorithms. In this work, we propose an algorithm that considers the eagerness shown by users to adopt products, so as to leverage the accuracy of rating prediction. The proposed algorithm is evaluated using seven popular datasets.CCS CONCEPTS •Information systems → Collaborative filtering.
Tacit Knowledge Transfer: Information Technology Usage in Universities

The importance of transferring tacit knowledge transfer is acknowledged in the literature, but the usage of information technology for tacit knowledge transfer is not well researched. Through a mixed methods approach, employing an online questionnaire and interviews, this study explored the perceptions of university academic staff with regards to information technology usage, specifically relating to the transfer of tacit knowledge. The study found a lack of specific tacit knowledge transfer technologies but relatively high use of communication tools, a need for training on the use of new information technology was identified and academic staff are generally quick to adapt to information technology. However, there appeared to be a lack of confidence in information technology for the transfer of tacit knowledge and staff willingness to use technology for sharing tacit knowledge was not high, exhibiting uncertainty. This study contributes to a better understanding of the usage of information technology for tacit knowledge transfer and its adaptability by university academics. The results of this study may stimulate future research by addressing sample size limitation and replication in a different organisational setting.
Estimation of Physical Activity Level and Ambient Condition Thresholds for Respiratory Health using Smartphone Sensors

While physical activity has been described as a primary prevention against chronic diseases, strenuous physical exertion under adverse ambient conditions has also been reported as a major contributor to exacerbation of chronic respiratory conditions. Maintaining a balance by monitoring the type and the level of physical activities of affected individuals, could help in reducing the cost and burden of managing respiratory ailments. This paper explores the potentiality of motion sensors in Smartphones to estimate physical activity thresholds that could trigger symptoms of exercise-induced respiratory conditions (EiRCs). The focus is on the extraction of measurements from the embedded motion sensors to determine the activity level and the type of activity that is tolerable to individual’s respiratory health. The calculations are based on the correlation between Signal Magnitude Area (SMA) and Energy Expenditure (EE). We also consider the effect of changes in the ambient conditions – temperature and humidity, as contributing factors to respiratory distress during physical exercise. Real-time data collected from healthy individuals were used to demonstrate the potentiality of a mobile phone as tool to regulate the level of physical activities of individuals with EiRCs. We describe a practical situation where the experimental outcomes can be applied to promote good respiratory health.
Longitud normal del cuerpo mandibular y la posible erupción de terceros molares inferiores

It was performed a descriptive and transversal research at the University Dental Clinic "Manuel de Jesus Cedeno" in Bayamo during the period of October 2008 to May 2009, with the aim of relating the normal length of the mandibular body and the possible eruption of third molars. The universe consisted of 168 patients between 10 and 13 years old, who were assisted at the Orthodontics Service. The information was collected on a model designed for this purpose, with variables of interest. It was determined the space available according to Xi distance (mandibular centroid point) to Lower Second Molar, for the location of third molars, and the relationship of them according to the length of the mandibular body (linear measurement from XI to Suprapogonion). The results were processed, analyzed and presented in tables, and summarized in percents. The main results indicated the 91.07% from those studied with the normal length of the mandibular body, 100% of them at the age of 11 years and no significant differences in sex. The third lower molars prevailed (92.86%), and this condition predominated in 10 year- old- patients (90.63%) and males (80.77%).
Sampling Frequency Evaluation on Recurrent Neural Networks Architectures for IoT Real-time Fall Detection Devices

Falls are one of the most frequent causes of injuries in elderly people. Wearable Fall Detection Systems provided a ubiquitous tool for monitoring and alert when these events happen. Recurrent Neural Networks (RNN) are algorithms that demonstrates a great accuracy in some problems analyzing sequential inputs, such as temporal signal values. However, their computational complexity are an obstacle for the implementation in IoT devices. This work shows a performance analysis of a set of RNN architectures when trained with data obtained using different sampling frequencies. These architectures were trained to detect both fall and fall hazards by using accelerometers and were tested with 10-fold cross validation, using the F1-score metric. The results obtained show that sampling with a frequency of 25Hz does not affect the effectiveness, based on the F1-score, which implies a substantial increase in the performance in terms of computational cost. The architectures with two RNN layers and without a first dense layer had slightly better results than the smallest architectures. In future works, the best architectures obtained will be integrated in an IoT solution to determine the effectiveness empirically.
Interpreting the Results from the User Experience Questionnaire (UEQ) using Importance-Performance Analysis (IPA)

User Experience Questionnaire is a common and valid method to measure the User Experience (UX) for a product or service. In recent years, these questionnaires have established themselves to measure various aspects of UX. In addition to the questionnaire, an evaluation tool is usually offered so that the results of a study can be evaluated in the light of the questionnaire. As a rule, the evaluation consists of preparing the data and comparing it with a benchmark. Often this interpretation of the data is not sufficient as it only evaluates the current User Experience. However, it is desirable to determine exactly where there is a need for action. In our article we present an approach that evaluates the results from the User Experience Questionnaire (UEQ) using the importance-performance analysis (IPA). The aim is to create another possibility to interpret the results of the UEQ and to derive recommendations for action from them. In a first study with 219 participants, we validated the approach presented with YouTube and WhatsApp. The results show that the IPA provides additional insights from which further recommendations for action can be derived.
Root Resorption Diagnostic: Role of Digital Panoramic Radiography

Introduction: Root resorption is a pathological process characterized by loss of dental root substance, caused by bacterial infections, traumatic injuries or chemical irritation. Root resorption might be accidentally observed on digital panoramic radiography. Objective: The objective of the study was to identify characteristic radiological aspects for the different types of root resorption that could be observed on digital panoramic radiography, to make an easier diagnostic of root resorption. Material and Method: The retrospective study used the X-ray base from the Oral Rehabilitation and Dental Prosthetics Clinic of UMF Craiova to identify the most representative images for different types of root resorption. Digital panoramic radiographies were analysed by two investigators, of which the most suggestive images were selected and described. Results: Digital panoramic radiographies and dental charts of 240 patients were analyzed. 113 cases of root resorption were identified. External inflammatory root resorption (EIRR) was present in 27.07% of studied cases, external cervical root resorption (ECRR) was identified in 10.83% of all studied cases, external replacement root resorption (ERRR) was diagnosed in 7.08% of studied cases and internal root resorption (IRR) was the most rare type of root resorption, with only 2.08% from all studied cases. 16 cases were selected to describe the radiologic features of different types of root resorption, featuring the most interesting images of root resorption evident on digital panoramic radiographies. Discussion: Comparative analyses have been made between our results and the results of other specific studies, with both similar and different values. The radiological features which lead to the diagnostic of each type of RR were highlighted, assessing the causes that caused the lesions, as well as the treatment recommendations. Conclusions: Digital panoramic radiography is a useful tool to identify root resorption, since it has become the most common radiological investigation for diagnostic in dentistry. Description of radiological aspects of different types of root resorption on panoramic digital radiography allows faster diagnosis. Still, the CBCT may be recommended in some cases to confirm the diagnosis.
Gene editing of PKLR gene in human hematopoietic progenitors through 5’ and 3’ UTR modified TALEN mRNA

Pyruvate Kinase Deficiency (PKD) is a rare erythroid metabolic disease caused by mutations in the PKLR gene, which encodes the erythroid specific Pyruvate Kinase enzyme. Erythrocytes from PKD patients show an energetic imbalance and are susceptible to hemolysis. Gene editing of hematopoietic stem cells (HSCs) would provide a therapeutic benefit and improve safety of gene therapy approaches to treat PKD patients. In previous studies, we established a gene editing protocol that corrected the PKD phenotype of PKD-iPSC lines through a TALEN mediated homologous recombination strategy. With the goal of moving toward more clinically relevant stem cells, we aim at editing the PKLR gene in primary human hematopoietic progenitors and hematopoietic stem cells (HPSCs). After nucleofection of the gene editing tools and selection with puromycin, up to 96% colony forming units showed precise integration. However, a low yield of gene edited HPSCs was associated to the procedure. To reduce toxicity while increasing efficacy, we worked on i) optimizing gene editing tools and ii) defining optimal expansion and selection times. Different versions of specific nucleases (TALEN and CRISPR-Cas9) were compared. TALEN mRNAs with 5’ and 3’ added motifs to increase RNA stability were the most efficient nucleases to obtain high gene editing frequency and low toxicity. Shortening ex vivo manipulation did not reduce the efficiency of homologous recombination and preserved the hematopoietic progenitor potential of the nucleofected HPSCs. Lastly, a very low level of gene edited HPSCs were detected after engraftment in immunodeficient (NSG) mice. Overall, we showed that gene editing of the PKLR gene in HPSCs is feasible, although further improvements must to be done before the clinical use of the gene editing to correct PKD.
Emotion Dysregulation in Sexually Abused Preschoolers: Insights from a Story Completion Task

ABSTRACT Child sexual abuse (CSA) during the preschool period can seriously undermine children’s ability to develop emotional competency. Narrative tasks, such as the MacArthur Story Stem Battery (MSSB), are particularly adapted to gain a better understanding of young children’s self-regulation processes. To explore the emotion regulation competencies of sexually abused preschoolers, we developed a coding grid and undertook a detailed analysis of abused and non-abused children’s narratives using the MSSB. A sample of 62 sexually abused and 65 non-abused preschoolers 3½ to 6½ years old was recruited and children were presented with nine stories and an expressive vocabulary test. Analyses were performed to compare abused and non-abused children’s narratives and to assess the contribution of CSA to children’s narratives. CSA was associated with fewer demonstrations of empathy, help, and comfort, and less coherent and resolved stories. The narratives of CSA victims also included less emotions and emotional variations. The influence of CSA appeared the strongest in the stories involving fear. These findings suggest the presence of emotion dysregulation among sexually abused preschoolers, but also insecure attachment, and a sense of betrayal, isolation, and powerlessness.
In-Vitro Antioxidant, Hypoglycemic Activity, and Identification of Bioactive Compounds in Phenol-Rich Extract from the Marine Red Algae Gracilaria edulis (Gmelin) Silva

Obesity and diabetes are major metabolic disorders which are prevalent worldwide. Algae has played an important role in managing these disorders. In this study, Gracilaria edulis, a marine red algae, was investigated for antioxidant and hypoglycemic potential using in vitro models. De-polysaccharide methanol extract of G. edulis was sequentially partitioned with hexane, chloroform, ethyl acetate, and antioxidants, and hypoglycemic potentials were evaluated using multiple methods. High antioxidant potential was observed in the ethyl acetate fraction in terms of ferric reducing antioxidant power, iron chelating, and DPPH and ABTS radical scavenging activities, while the crude methanol extract exhibited potent oxygen radical-absorbance capacity. Potent α-amylase inhibitory activity was observed in the ethyl acetate fraction, while the ethyl acetate fraction was effective against α-glucosidase inhibition. Glucose diffusion was inhibited by the ethyl acetate fraction at 180 min, and the highest antiglycation activity was observed in both chloroform and ethyl acetate fractions. Additionally, gas chromatography-mass spectrometry analysis of the ethyl acetate fraction revealed the presence of several potent anti-diabetic compounds. In conclusion, G. edulis exhibited promising antidiabetic potential via multiple mechanisms. The ethyl acetate fraction exhibited the strongest hypoglycemic and antiglycation potential among the four fractions, and hence the isolation of active compounds is required to develop leads for new drugs to treat diabetes.
Advanced Circuit and Cellular Imaging Methods in Nonhuman Primates

Novel genetically encoded tools and advanced microscopy methods have revolutionized neural circuit analyses in insects and rodents over the last two decades. Whereas numerous technical hurdles originally barred these methodologies from success in nonhuman primates (NHPs), current research has started to overcome those barriers. In some cases, methodological advances developed with NHPs have even surpassed their precursors. One such advance includes new ultra-large imaging windows on NHP cortex, which are larger than the entire rodent brain and allow analysis unprecedented ultra-large-scale circuits. NHP imaging chambers now remain patent for periods longer than a mouse's lifespan, allowing for long-term all-optical interrogation of identified circuits and neurons over timeframes that are relevant to human cognitive development. Here we present some recent imaging advances brought forth by research teams using macaques and marmosets. These include technical developments in optogenetics; voltage-, calcium- and glutamate-sensitive dye imaging; two-photon and wide-field optical imaging; viral delivery; and genetic expression of indicators and light-activated proteins that result in the visualization of tens of thousands of identified cortical neurons in NHPs. We describe a subset of the many recent advances in circuit and cellular imaging tools in NHPs focusing here primarily on the research presented during the corresponding mini-symposium at the 2019 Society for Neuroscience annual meeting.
Prevalence and associated factors of depression among Korean adolescents

This study aimed to identify factors significantly associated with recent depressive mood with respect to health-related behavioral patterns at the individual level, perceived safety in the school environment, and willingness to share concerns with family and social networks. Self-reported responses to questions regarding recent feelings of depression, health-related behaviors in physical, psychological, and spiritual subdomains, school refusal and perceived safety at school, and perceived social support were obtained from 1,991 in-school adolescents (mean [SD] age = 15.3 [1.7] years; male/female = 936/1055). Multivariate logistic regression analyses were used to identify explanatory factors significantly associated with recent depression, defined as feelings of sadness or hopelessness for more than 2 weeks (during the last 12 months) that interfered with everyday functioning. Of the 1,991 students, 271 (13.6%) reported recent depression. Multivariate logistic regression analyses revealed higher odds of recent depression in adolescents with frequent thoughts of school refusal (odds ratio [95% confidence interval] = 3.25 [2.44–4.32]) and those who engaged in regular physical exercise (1.57 [1.19–2.07]), whereas a positive mindset (0.65 [0.49–0.86]), perceived safety at school (0.62 [0.47–0.82]), and perceived social support from one’s mother (0.54 [0.40–0.72]) were associated with lower odds of recent depression. Taken together, our findings suggest that parents and teachers should talk regularly with adolescents about recent life (dis)satisfaction and stressors, particularly when they report frequent thoughts of school refusal. Perceived social support would increase perceived safety on school grounds and make it easier for teenagers to share their concerns with parents, thereby reducing the risk for depressive symptoms. School-based programs that promote a positive mindset would be helpful in preparing students for the challenges of adulthood.
Experimental Tests on Fiber-Reinforced Alkali-Activated Concrete Beams Under Flexure: Some Considerations on the Behavior at Ultimate and Serviceability Conditions

Alkali-activated concrete (AAC) is an alternative concrete typology whose innovative feature, compared to ordinary concrete, is represented by the use of fly ash as a total replacement of Portland cement. Fly ash combined with an alkaline solution and cured at high temperature reacts to form a geopolymeric binder. The growing interest in using AACs for structural applications comes from the need of reducing the global demand of Portland cement, whose production is responsible for about 9% of global anthropogenic CO2 emissions. Some research studies carried out in the last few years have proved the ability of AAC to replace ordinary Portland cement concrete in different structural applications including the construction of beams and panels. On the contrary, few experimental results concerning the structural effectiveness of fiber-reinforced AAC are currently available. The present paper presents the results of an experimental program carried out to investigate the flexural behavior of full-scale AAC beams reinforced with conventional steel rebars, in combination with fibers uniformly spread within the concrete matrix. The experimental study included two beams containing 25 kg/m3 (0.3% in volume) of high-strength steel fibers and two beams reinforced with 3 kg/m3 (0.3% in volume) of synthetic fibers. A reference beam not containing fibers was also tested. The discussion of the experimental results focuses on some aspects significant for the structural behavior at ultimate limit states (ULS) and serviceability limit states (SLS). The discussion includes considerations on the flexural capacity and ductility of the test specimens. About the behavior at the SLS, the influence of fiber addition on the tension stiffening mechanism is discussed, together with the evolution of post-cracking stiffness and of the mean crack spacing. The latter is compared with the analytical predictions provided by different formulations developed over the past 40 years and adopted by European standards.