Miracle-dz/UniFAR-FTUs huggingface dataset:
Fair Power Factor Billing Under Unbalanced and Nonsinusoidal Voltage Supply

Utilities apply an additional fee for medium and large customers with low power factors. However, unfair financial charges may occur in installations subjected to voltage unbalance and harmonic distortion. The objective of this paper is to determine the fairest PF definitions and their corresponding measurement algorithms in the case in which a constant impedance load or an induction motor is supplied with unbalanced and nonsinusoidal voltages. Fairness is defined considering that the meter (built based on a particular definition and measurement method) under nonideal supply should lead to very close values as if it was submitted to an ideal balanced sinusoidal supply. We performed computational simulations to emulate several conditions in which a balanced customer (modeled as a constant impedance load or an induction motor) is charged due to a voltage supply no longer balanced and sinusoidal. We also performed experimental tests with an induction motor subjected to a wide range of unbalanced nonsinusoidal supply conditions to ratify the conclusions drawn from the simulations. Based on the simulation results and the experimental tests, we indicate some power factor definitions and measurement methods that are not significantly affected by voltage unbalance and harmonic distortions. These indicated PF definitions provide the fairest billing for conditions with unbalanced nonsinusoidal voltages.
Convolution Optimization in Fire Classification

Early alert fire and smoke detection systems are crucial for daily and security management decision-making. Recent literature approaches are based on Deep Learning (DL) models. Efficient models are required for hardware-constrained systems, such as mobile devices, embedded systems, and robotics achieving high performance at low power consumption. For this research, we designed a novel specific-purpose model for fire and smoke recognition using still images and the study of state-of-the-art convolution techniques to improve the trade-off between accuracy and complexity. In this regard, the literature suggests that the inverted residual block, the depthwise and octave convolution techniques, reduces the model’s size and computation requirements working well by themselves. In this work, we propose the KutralNext architecture, an efficient model for single- and multi-label fire and smoke recognition tasks. Additionally, a more efficient architecture KutralNext+, demonstrates that those convolution techniques achieve a better trade-off combined, reaching an 84.36% average test accuracy in FireNet, FiSmo, and FiSmoA fire datasets. The KutralSmoke and FiSmo fire and smoke datasets attained an 81.53% average test accuracy. Furthermore, a previous fire and smoke recognition model considered, FireDetection, KutralNext uses 59% fewer parameters, and KutralNext+ requires 97% fewer flops and is 4x faster.
Urban Air Pollutant Monitoring through a Low-Cost Mobile Device Connected to a Smart Road

Air pollutant monitoring is a basic issue in contemporary urban life. This paper describes an approach based on the diffused use of low-cost sensors that can be mounted on board urban vehicles for more abundant and distributed measures. The system exchanges data, exploiting a “Smart Road” infrastructure, with a central computing facility, the CIPCast platform, a GIS-based Decision Support System designed to perform real-time monitoring and interpolation of data with the aim of possibly issuing alarms with respect to different town areas. Experimental data gathering in the Rome urban area and subsequent processing results are presented. Algorithms for data fusion among different simulated monitoring systems and interpolation of data for a geographically denser map were utilised. Thus, in the framework of the Smart Road, protocols for data exchange were designed. Finally, air pollutant distribution maps were produced and integrated into the CIPCast platform. The feasibility of a full system architecture from the sensors to the real-time pollutant maps is shown.
T1ρ Mapping of Subtalar Articular Cartilage in Patients with Ankle Osteoarthritis

Advanced osteoarthritis (OA) of the ankle is often accompanied by arthritic changes in the subtalar joint, and when arthrodesis is performed for ankle OA, the subtalar joint symptoms remain or even worsen. If the degree of subtalar cartilage degeneration can be quantified, prognosis can be predicted. T1ρ mapping has proven useful for identification of early cartilage degeneration. We hypothesized that T1ρ values of subtalar joint carti‐ lage are higher (i.e., cartilage degeneration is greater) in patients with ankle OA without plain radiographic evi‐ dence of subtalar joint space narrowing and osteophytes than in healthy individuals. The T1ρ value of full thick‐ ness subtalar joint cartilage was measured on sagittal MR images obtained from 12 patients with ankle OA (3 with Takakura stage 3a disease and 9 with Takakura stage 3b disease) and from 12 healthy individuals. Imaging was performed with a 3.0 T MRI scanner, and PRIDE was used to construct T1ρ maps. A region of interest was set on the water-selective excitation image, which was projected onto the corresponding slice of the T1ρ map‐ ping image to calculate the T1ρ value. The T1ρ value of the subtalar cartilage in patients with ankle OA (41.8 [39.8, 44.4] ms) did not differ significantly from that in healthy individuals (45.0 [37.0, 50.2] ms) (p=0.219 by Mann-Whitney U test). Our findings suggest that the T1ρ value of subtalar articular cartilage in patients with stage 3a or 3b ankle OA for whom conventional imaging reveals no OA changes does not differ significantly from that of healthy individuals.
Adesão aos protocolos de atendimento para a não infecção de sítio cirúrgico de coluna

Objetivo: avaliar a adesão aos protocolos de atendimento para a não infecção de sítio cirúrgico (NISC) de coluna e os fatores associados. Método: estudo transversal realizado por meio da revisão de 60 prontuários de pacientes submetidos à cirurgia de coluna de 2015 a 2019, seu desfecho de não infecção e as condições relacionadas. O estudo foi executado no primeiro semestre de 2020. Resultados: algumas variáveis relacionadas para NISC foram: profilaxia antimicrobiana de 30 a 60 min antes da cirurgia (RR= 0,97; p=0,026), normotermia (RR= 0,80; p=0,050), internação pós cirúrgica em Unidade de Terapia Intensiva (até 3 dias) (RR=2,00; p=0,040). A frequência de NISC foi de 83,3% (50/60) p= 0,728). Conclusão: apenas a normotermia foi fator associado a não infecção para NISC na regressão linear. Ressalta-se que a adesão aos processos de trabalho são primordiais para a proteção das infecções, reduzir eventos adversos e garantir a segurança.
How Do Interprofessional Practice Teams Work Together to Identify and Provide for Gifted Students with Multiple Exceptionalities?

Priority learners in New Zealand include thosewho have special educational needs, yet gifted learners with multiple exceptionalities arevariably identified, understood or provided forin our schools. International research advocatesthe use of interprofessional practice (IPP) teams,with competency across shared values, roles and responsibilities, communication, and teamwork, to support gifted learners with multiple exceptionalities. This study explored the experiences and understandings of IPP teams supporting students with multiple exceptionalities in New Zealand. The study found that IPP team identity is still in its infancy and core competencies are still evolving. Shared values towards inclusive practices were hampered by limited knowledge and expertise across the IPP team. Limited understandings of teamwork processes and limited recognition of the importance of communication within the IPP team were also common themes. Parents and students were typically not recognised as part of the IPP team identity and processes. The article concludes that gifted learners with multiple exceptionalities may not have adequate support at a systems level, and development of interprofessional practice competencies may be one way to ensure their full inclusion in our education system. Implications for policy and practice are described.
An Interleukin-4 and Interleukin-13 Induced Atopic Dermatitis Human Skin Equivalent Model by a Skin-On-A-Chip

Currently, the mechanism of progression of atopic dermatitis (AD) is not well understood because there is no physiologically appropriate disease model in terms of disease complexity and multifactoriality. Type 2 inflammation, mediated by interleukin (IL)-4 and IL-13, plays an important role in AD. In this study, full-thickness human skin equivalents consisting of human-derived cells were fabricated from pumpless microfluidic chips and stimulated with IL-4 and IL-13. The morphological properties, gene expression, cytokine secretion and protein expression of the stimulated human skin equivalent (HSE) epidermis were investigated. The results showed epidermal and spongy formations similar to those observed in lesions in AD, and decreased expression of barrier-related filaggrin, loricrin and involucrin genes and proteins induced by IL-4Rα signaling. In addition, we induced the expression of carbonic anhydrase II (CAII), a gene specifically expressed in the epidermis of patients with AD. Thus, AD human skin equivalents can be used to mimic the key pathological features of atopic dermatitis, overcoming the limitations of existing studies that rely solely on mouse models and have been unable to translate their effects to humans. Our results will be useful for future research on the development of therapeutic agents for atopic dermatitis.
Large-Scale Synthesis of Molybdenum Carbide Based Catalyst by Vacuum-Free DС Arc Plasma Method

The paper presents experimental studies on the synthesis of materials based on molybdenum carbide, which can be used as a catalyst for hydrogen production by water splitting. We successfully carried out experiments to scale up the process, namely, the amount of the synthesized product was increased by 4 times with the same parameters of the experimental setup. In this case, the specific energy decreases taking into account the increase in the mass of the product. The energy intensity of the material obtained has been reduced from 520 kJ/g to 130 kJ/g.
Oligodendrocyte origin and development in the zebrafish visual system

Oligodendrocytes are the myelinating cells in the central nervous system (CNS). Their developmental origin and specification are well known in birds and mammals but remains unclear in fish. To fulfill this gap, we have studied their early progression during zebrafish visual morphogenesis using the transgenic line Olig2:GFP. We have tracked the Olig2+ cells in the visual system from 48 hours post fertilization (hpf) until 11 days post fertilization (dpf). We have also analyzed the differential expression of the Sox2 and Sox10 transcription factors in this cellular line. Oligodendrocyte progenitor cells (OPCs) originate at 48hpf in regions close to the preoptic area, near to the ventral hypothalamus. Then, at 5 dpf, they migrate to the optic chiasm, where they invade the optic nerve, extending towards the retina. While OPCs in the retina also express Sox2, in the the optic tectum they express Sox10. Within the optic nerve tract, they express both. We have also observed that these Olig2:GFP line do not colocalize with the expression of Mbpa, a myelin marker, but are intimately intertwined. Our data matches with other animal models, where OPCs are specified in the preoptic area and migrate to the optic nerve through the optic chiasm. We revealed that oligodendrocyte is a complex population of cells expressing different transcription factors.
Callous-unemotional traits, social goal orientations, and bullying perpetration: exploring concurrent associations during adolescence

ABSTRACT Bullying and cyberbullying is a severe problem afflicting adolescents worldwide, underscoring the need to understanding of the mechanisms behind bullying perpetration. In the current study, we examined the association between callous-unemotional traits, social goal orientations, and bullying/cyberbullying behaviours. The current study draws upon a sample of 435 adolescents, who completed an online questionnaire. A path model, which separately included the dimensions of callous-unemotional traits, revealed that callousness and agentic goals had a direct positive association with bullying and cyberbullying behaviours; uncaring also had a direct positive association with cyberbullying behaviour. There was a direct positive effect from callousness and uncaring onto agentic goals, and a negative effect onto communal goals. Unemotionality had a direct negative effect onto both agentic and communal goals. There was an additional indirect effect, linking callous-unemotional traits to bullying/cyberbullying behaviour via social goal orientations. We discuss the findings, drawing upon motivational, evolutionary, and social-emotional deficiency perspectives.
Effect of Global and Local Refutation Mechanism on Rumor Propagation in Heterogeneous Network

In the process of rumors propagation, the behavior of individuals to propagation or refutation is not only influenced by the surrounding global environment but also the local environment. In this paper, a modified rumor propagation model is proposed considering the global and local effects of the rumor refutation mechanism and the activity rate of individuals in a heterogeneous network, and the dynamics process of the rumor propagation is derived by using the mean-field equation. Combining theoretical proving and simulation analysis, it shows that the critical threshold of rumor propagation has a great relationship with individual activity rates and global and local effects of the rumor refutation mechanism. The greater the government’s efforts to refute rumors, the lower the critical threshold of rumor propagation and the smaller the final rumor size. While relatively, people are much more likely to believe the global rumor refutation information taken with official information, local rumor refutation information has little influence on rumor propagation.
Study on swelling behaviour of HANP/PVA composites with adding PLGA for alveolar ridge preservation

Objective: The aim of this study was to compare the swelling behaviour of HANP/PVA and HANP/PLGA/PVA composites. Material and Methods: This study was divided into 2 groups, HANP/ PVA and HANP/PLGA/PVA composites which prepared by freeze drying methods. HANP 20% (w/w) was combined with PLGA 20% (w/w) and dissolved in PVA solution at 50C. Swelling behaviour was obtained by measured initial weight (Wi) and the weight of composites after immersing in PBS pH 7.4; 37C for 7 days (Ws). Statistical analysis based on Independent T-test (p<0.05). Results: The initial weight (Wi) of HANP/PVA and HANP/PLGA/PVA composites are 467±4.73 and 292±9.52. The swollen weight (Ws) of HANP/PVA and HANP/PLGA/PVA composites are 897±26.61 and 860±32.36. Furthermore, the water retention of HANP/PVA composite is 92.07% (p<0.05) and HANP/PLGA/PVA composite is 194.52% (p<0.05). Conclusion: The addition of PLGA enhance swelling behaviour of HANP/PVA composites. The strong interaction between HANP and PVA decrease the swelling re. HANP is inert in nature, but the combination of HANP/PLGA/PVA can be a good substitute for alveolar preservation.
Technology Enhanced Learning Analytics Dashboard in Higher Education

During the COVID-19 pandemic period, all the Sri Lankan universities delivered lectures in fully online mode using Virtual Learning Environments. In fully online mode, students cannot track their performance level, their progress in the course, and their performances compared to the rest of the class. This paper presents research work conducted at the University of Colombo School of Computing (UCSC), Sri Lanka, to solve the above problems and facilitate students learning in fully online and blended learning environments using Learning Analytics. The research objective is to design and create a Technology Enhanced Learning Analytics (TELA) dashboard for improving students’ motivation, engagement, and grades. The Design Science research strategy was followed to achieve the objectives of the research. Initially, a literature survey was conducted analyzing features and limitations in current Learning Analytic dashboards. Then, current Learning Analytic plugins for Moodle were studied to identify their drawbacks. Two surveys with 136 undergraduate students and interviews with 12 lecturers were conducted to determine required features of the TELA system. The system was designed as a Moodle Plugin. Finally, an evaluation of the system was done with third-year undergraduate students of the UCSC. The results showed that the TELA dashboard can improve students' motivation, engagement, and grades. As a result of the system, students could track their current progress and performance compared to the peers, which helps to improve their motivation to engage more in the course. Also, the increased engagement in the course enhances the student’s self-confidence since the student can see continuous improvement of his/her progress and performance which in turn improves the student’s grades.
The Prescription of Medicines for Childhood Acute Diarrhoea: A Retrospective Study at Four Secondary Healthcare Facilities in Lagos State, Nigeria

Background: Diarrhoea remains the second leading cause of mortality in children, with an estimated 205 children under the age of 5 dying daily in Nigeria. Combination therapy of ORS with zinc tablets is the cornerstone for its management. Secondary healthcare facilities (SHFs) represent the second level of contact for patients requiring professional care; hence an appropriate prescription for diarrhoea is crucial for the survival of under-fives. Objectives: To evaluate the prescription of medicines in the management of acute watery diarrhoea (AWD) in under-fives at SHFs, and determine the appropriateness of the prescriptions. Method: A descriptive cross-sectional study was done at four randomly selected SHFs in Lagos State. A retrospective review of prescriptions for diarrhoea cases totaling 480, was done using records from the General Out-Patient Department from September 2018 to August 2019. A descriptive analysis was performed.Results: All cases reviewed were diagnosed as AWD occurring either alone (352; 73.3%) or in combination with malaria/fever (55; 11.5%), cough/URTI (23; 4.8%), and other conditions (50; 10.4%). Of the 352 AWD only cases, there were 121 (34.4%) prescriptions for ORS/Zinc as combined therapy without addition of antibiotics, 120 (34.1%) for antibiotics, and 134 (38.1%) for probiotics. Other prescriptions include analgesics (18.2%), injectables (9.7%) and antimalarials (8.8%). Conclusion: The study revealed suboptimal prescriptions of ORS/Zinc with the appropriateness of prescription at 34.4%. The prescription of antibiotics and other medicines which have no rehydration benefits was high.
Mapping the prevalence of dengue fever in sragen regency Indonesia

Mapping the prevalence of dengue fever in sragen regency Indonesia Agus Sudaryanto1*, Ulfiana Savira Ainnurriza2, Supratman1, Shinta Kurnia Dewi2 Introduction: Dengue fever is a disease that is transmitted by vectors. The intermediary vector for dengue fever transmission is the Aedes Aegepty mosquito. Dengue fever cases occur in almost all districts in Indonesia, including the Sragen regency. From 2016 to 2019, the incidence of dengue fever was higher than the previous year. This unusual condition needs to be further monitored and studied. This study’s purpose was to map the prevalence of dengue fever in the Sragen regency. Methods: A retrospective research design was performed using secondary data provided by the regency health office and the Central Bureau of statistics from the government of Sragen regency. A free and open-source software, namely Quantum Geographic Information System (QGIS), was utilized to produce maps and spatial figures. The results of this study are presented by map and prevalence. Results: The incidence of dengue fever in the Sragen regency in 2017-2019 fluctuated between 15.83 per 100,000 population and 33.54 per 100,000 population. The dengue fever case in Gemolong district is the highest in 2018 and 2019. Conclusion: The conclusion for this research is mapping the dengue fever prevalence helping to figure up the spatial pattern of the disease in Sragen regency.
Ransomware Detection with Deep Neural Networks

: The number of reported malware and their average identiﬁcation time increases each year, thus increasing the mitigation cost. Static analysis techniques cannot reliably detect polymorphic and metamorphic malware, while dynamic analysis is more effective in detecting advanced malware, especially when the analysis is performed using machine-learning techniques. This paper presents a novel approach for the detection of ransomware, a particular type of malware. The approach uses word embeddings to represent system call features and deep neural networks such as Convolutional Neural Networks (CNN) and Long Short-Term Memory Networks (LSTM). The evaluation, performed on two datasets, shows that the described approach achieves a detection rate of over 99% for ransomware samples.
Word order and information structure in heritage and L2 Russian: Focus and unaccusativity effects in subject inversion

Aims and objectives/purpose/research questions: The study’s main objective is to investigate the effects of information structure and verb type on the acceptability of canonical and non-canonical word order patterns in baseline, heritage, and L2 Russian in a controlled experimental setting. In particular, the study examines the bilinguals’ sensitivity to extralinguistic (subject focus) and intralinguistic (unaccusativity) triggers of subject–verb inversion in Russian. Design/methodology/approach: The study employs a contextualized acceptability judgment task with unaccusative, unergative, and transitive predicates. In each condition, ratings for SV(O) and (O)VS structures are elicited in broad-focus and narrow-subject-focus contexts. Data and analysis: Data come from adult English-Russian bilinguals: heritage speakers at two proficiency levels (n = 27) and L2 learners (n = 15), compared to monolingual Russian speakers (n = 15). Welch’s unequal variances t-tests are utilized in the statistical analysis of the results. Findings/conclusions: Bilinguals generally under-accept inverted structures. With intransitive predicates, heritage speakers in the higher proficiency group are sensitive to the effects of unaccusativity, but not focus, on the occurrence of VS orders. However, with transitive predicates, higher proficiency heritage speakers demonstrate a target-like contrast in their ratings of OVS structures under broad and narrow focus. No clear effects of unaccusativity or focus are attested in the lower proficiency heritage or L2 speakers’ judgments of inverted orders. Originality: This is the first study to compare the effects of unaccusativity and focus on word order variation in baseline, heritage, and L2 Russian and to examine subject focus in both intransitive and transitive structures. Significance/Implications: The differential effects of subject focus obtained in the intransitive and transitive conditions indicate that heritage speakers do not experience a generalized difficulty with information-structure marking through word order. While intralinguistic word order cues seem more accessible to early bilinguals than extralinguistic cues, heritage speakers are able to attend to the latter when their visibility is enhanced in discourse.