Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparison of Two Protocols for the Treatment of Class 2 Malocclusion

Purpose: The purpose of this study was to compare the outcomes of the treatment with the twin block and modified twin block appliances in growing patients with Class 2 malocclusion. Materials and Methods: A cephalometric analysis was performed in 51 patients. The twin block sample consisted of 23 patients, 10-girls and 13-boys (mean age 10.46±0.71 years at the start of treatment, T1, and 12.84±0.78 years at the end of active treatment, T2). The modified twin block sample consisted of 28 patients, 18 girls and 15 boys (mean age 11.78±0.91 years at T1, and 13.32±0.56 years at T2). The twin block activators were used during the day, except for eating time, and the modified ones were used only at night. Duration of the treatment was 16-20 months. The changes from T2 to T1 and the differences between the groups were compared with the analysis of variance. Results: SNB angle in the twin block group showed 1.25±1.39 degrees change and in the modified twin block group, it exhibited 3.69±1.01 degrees change. Overjet in the group with twin block decreased 4.58±1.59 mm, and in the group with modified twin block it decreased 4.43±1.41 mm. In the modified twin block group, there was more retrusion of upper incisors in comparison with the twin block group. Accordingly, under the effect of modified twin block, retrusion of the upper lip was observed. Conclusion: Through modifying the twin block appliance, it is possible to ensure the comfort of the patients by reducing the daily usage, to reposition the mandibula forward and to correct overjet and sagittal dento-skeletal relationships without increasing facial height and to improve positions of upper incisors and lips.
Glass FRP-Reinforced Geopolymer Based Columns Comprising Hybrid Fibres: Testing and FEA Modelling

This study seeks to evaluate the effectiveness of glass-FRP-reinforced geopolymer concrete columns integrating hybrid fibres (GFGC columns) and steel bar-reinforced geopolymer concrete columns incorporating hybrid fibres (SFGC columns) under eccentric and concentric loadings. Steel fibre (SF) and polypropylene fibres (PF) are two types of fibres that are mixed into hybrid fibre-reinforced geopolymer concrete (HFRGC). Eighteen circular concrete columns with a cross-section of 300 mm × 1200 mm were cast and examined under axial loading up to failure. Nine columns were cast with glass-FRP rebars, whereas the other nine were cast with steel rebars. Using ABAQUS, a nonlinear finite element model was established for the GFGC and SFGC columns. The HFRGC material was modelled using a simplified concrete damage plasticity model, whereas the glass-FRP material was simulated as a linear elastic material. It was observed that GFGC columns had up to 20% lower axial strength (AST) and up to 24% higher ductility indices than SFGC columns. The failure modes of both GFGC and SFGC columns were analogous. Both GFGC and SFGC columns revealed the same effect of eccentricity in the form of a decline in AST. A novel statistical model was suggested for predicting the AST of GFGC columns. The outcomes of the experiments, finite element simulations, and theoretical results show that the models can accurately determine the AST of GFGC columns.
Current status of calcitonin gene-related peptide-based therapies in migraine: a scoping review

A significant proportion of patients exhibit sub-optimal response to the standard treatment of acute migraine such as triptans and NSAIDs. Even the conventional preventive therapies (e.g. beta-blockers) indicated for patients with frequent migraine attacks have varying responses. Moreover, evidence from animal studies elucidated the role of calcitonin gene-related peptide (CGRP) in the pathophysiology of migraine. Currently two classes are drug, the small molecule CGRP receptor antagonist or the ‘gepants’ (Ubrogepant, Rimegepant, Atogepant, Zavegepant) and CGRP monoclonal antibodies (Erenumab, Galcanezumab, Fremanezumab, Eptinezumab) have been found efficacious and safe in various clinical trials for the treatment and prevention of migraine. While the small molecule CGRP receptor antagonists are given orally, the monoclonal antibodies are injectable drugs. Ubrogepant and Rimegepant are the second-generation gepants approved for treatment of migraine. Zavegepant is a third generation gepant which has proven efficacy for acute treatment of migraine in a phase III trial. Atogepant has been approved for prevention of migraine. Rimegepant has also proven to be efficacious for preventing migraine attacks but has not yet been approved for this indication. Erenumab is the only monoclonal antibody which neutralizes the CGRP receptor. The latter three monoclonal antibodies target the CGRP peptide. The monoclonal antibodies have been approved for the prevention of migraine as a subcutaneously or intravenous infusion (Eptinezumab) given once a month or quarterly. Both the classes of drugs were well-tolerated in the clinical trials. Nausea was the most common adverse effect with gepants while injection-site pain was commonly reported with the antibodies.
A hybrid algorithm for computing cannonball dispersion evenness

The future-air-window is a new shooting system of anti-aircraft gun.This shooting system has distinct effect on short-range antiaircraft and antimissile.Since the cannonball dispersion evenness(CDE)is required to be computed when designing the future airspace window(FAW),and the computing algorithm should be globally convergent and with high solution accuracy,a hybrid algorithm to meet these requirements is proposed in this paper.First,the problem of solving FAW cannonball dispersion evenness is described;second,an algorithm for estimating the cannonball dispersion evenness(CDE)is put forward;and then,a zooming algorithm is employed to improve the search efficiency and solution accuracy,and the flowchart of the hybrid algorithm is given.The simulation results verify that the proposed hybrid algorithm has the advantages of global convergence,high solution precision and high search efficiency.It is suitable for the solution of CDE in practical engineering.
Childhood Immunisation Coverage during the COVID-19 Epidemic in Italy

The COVID-19 pandemic has affected national healthcare systems worldwide, with around 282 million cumulative confirmed cases reported in over 220 countries and territories as of the end of 2021. The Italian National Health System was heavily affected, with detrimental impacts on preventive service delivery. Routine vaccination services were disrupted across the country during the first months of the pandemic, and both access to and demand for vaccines have decreased during the pandemic. In many cases, parents preferred to postpone scheduled appointments for routine paediatric vaccinations because of stay-at-home orders or fear of COVID-19 infection when accessing care. The objective of the current study was to assess the routine childhood vaccine coverage (VC) rates during the COVID-19 epidemic in Italy. We compared 2020 and 2019 VC by age group and vaccine type. The Italian Ministry of Health collected anonymised and aggregated immunisation national data through the local health authorities (LHAs). Results were considered statistically significant at a two-tailed p-value ≤ 0.05. VC rates for mandatory vaccinations decreased in 2020 compared to 2019 (range of VC rate decrease: −1% to −2.7%), while chicken pox increased (+2.2%) in 7-year-old children. Recommended vaccinations were moderately affected (range of VC rate decrease in 2020 vs. 2019: −1.4% to −8.5%), with the exception of anti-HPV in males, Men ACWY, and anti-rotavirus vaccination (VC increase 2020 vs. 2019: +1.8%, +4.7% and +9.4%, respectively). In the COVID-19 era, the implementation of coherent, transparent, and effective communication campaigns and educational programs on safe childhood vaccinations, together with the increase in the number of healthcare staff employed, is essential to support strategies to reinforce vaccination confidence and behaviour, thus avoiding health threats due to VPD during and beyond COVID-19 times.
Theoretical Concepts in Magnetobiology after 40 Years of Research

This review contains information on the development of magnetic biology, one of the multidisciplinary areas of biophysics. The main historical facts are presented and the general observed properties of magnetobiological phenomena are listed. The unavoidable presence of nonspecific magnetobiological effects in the everyday life of a person and society is shown. Particular attention is paid to the formation of theoretical concepts in magnetobiology and the state of the art in this area of research. Some details are provided on the molecular mechanisms of the nonspecific action of a magnetic field on organisms. The prospects of magnetobiology for the near and distant future are discussed.
Evaluation of the fulfillment of educational rights for children in conflict with the law through the filial school program

The Palembang City Government through the Education Office in collaboration with the Regional Office of the Ministry of Law and Human Rights of South Sumatra Province as well as with other stakeholders initiated the implementation of Filial Schools Services for Child Prisoners at LPKA Class I Palembang. This study aimed at evaluating Filial Schools Filial Schools for Child Prisoners at LPKA Class I Palembang. This was evaluation research with a qualitative approach and using CIPP model. Data collection in this research was through observation, interviews, and documentation. The subjects of this study consisted of an accompanying teacher, a party from the Education Office, and a student. The data were analysed using Miles and Huberman model. The validity of the research data was obtained by using triangulation techniques by comparing the data from interviews, observations, and documentation. The study found that the fulfillment of educational right for children in conflict with the law through the Filial School Program at LPKA Class 1 Palembang has been going well. Based on the monitoring results, most of the children who have completed their education at LPKA have been able to improve their welfare. The Filial school program in providing the right to formal education for children through Quality Formal Education Services for Children at LPKA Class I Palembang has been going well. This program also presents the same curriculum as formal schools, also equipped with character building, as well as the development of various skills in students.
Lightweight, Effective Detection and Characterization of Mobile Malware Families

Android malware is an ongoing threat to billions of smart devices’ security, ranging from mobile phones to car infotainment systems. Despite numerous approaches and previous studies to develop solutions for detecting and preventing Android malware, the rapid continuous development of new malware variants requires a careful reconsideration and the development of effective methods to identify malware families given a meager number of malware instances. In this paper, we present DroidMalVet, a novel Android malware family classification and detection approach that does not require to perform complex program analyses or utilize large feature sets. DroidMalVet is the first to use a promising, diverse, and small set of software metrics as features in a supervised learning platform to classify and detect various Android malware families. Our extensive empirical evaluations on two large public malware datasets show that DroidMalVet accurately detects both small and large malware families with F-Score accuracy of 94.4% and 96%, and AUC equal to 99.5% and 99.7% on the malware families in Drebin and AMD datasets, respectively. Moreover, our results demonstrate the superior performance of DroidMalVet in detecting small families (i.e., families with few samples). DroidMalVet complements existing approaches and presents an early warning tool for detecting known and emerging malware families.
COVID-19 vaccine booster induces a strong CD8+ T cell response against Omicron variant epitopes in HLA-A*02:01+ individuals

The >30 mutated residues in the Omicron spike protein have led to its rapid classification as a new SARS-CoV-2 variant of concern. As a result, Omicron may escape from the immune system, decreasing the protection provided by COVID-19 vaccines. Preliminary data shows a weaker neutralizing antibody response to Omicron compared to the ancestral SARS-CoV-2 virus, which can be increased after a booster vaccine. Here, we report that CD8+ T cells can recognize Omicron variant epitopes presented by HLA-A*02:01 in both COVID-19 recovered and vaccinated individuals, even 6 months after infection or vaccination. Additionally, the T cell response was stronger for Omicron variant epitopes after the vaccine booster. Altogether, T cells can recognize Omicron variants, especially in vaccinated individuals after the vaccine booster. One-Sentence Summary CD8+ T cells response against Omicron variant epitopes is stronger after the vaccine booster.
Nanotechnology in Plant Metabolite Improvement and in Animal Welfare

Plant tissue culture plays an important role in plant biotechnology due to its potential for massive production of improved crop varieties and high yield of important secondary metabolites. Several efforts have been made to ameliorate the effectiveness and production of plant tissue culture, using biotic and abiotic factors. Nowadays, the addition of nanoparticles as elicitors has, for instance, gained worldwide interest because of its success in microbial decontamination and enhancement of secondary metabolites. Nanoparticles are entities in the nanometric dimension range: they possess unique physicochemical properties. Among all nanoparticles, silver-nanoparticles (AgNPs) are well-known for their antimicrobial and hormetic effects, which in appropriate doses, led to the improvement of plant biomass as well as secondary metabolite accumulation. This review is focused on the evaluation of the integration of nanotechnology with plant tissue culture. The highlight is especially conveyed on secondary metabolite enhancement, effects on plant growth and biomass accumulation as well as their possible mechanism of action. In addition, some perspectives of the use of nanomaterials as potential therapeutic agents are also discussed. Thus, the information provided will be a good tool for future research in plant improvement and the large-scale production of important secondary metabolites. Elicitation of silver-nanoparticles, as well as nanomaterials, function as therapeutic agents for animal well-being is expected to play a major role in the process. However, nanosized supramolecular aggregates have received an increased resonance also in other fields of application such as animal welfare. Therefore, the concluding section of this contribution is dedicated to the description and possible potential and usage of different nanoparticles that have been the object of work and expertise also in our laboratories.
Post-COVID-19 Guillain-Barré Syndrome: A Case Report With Literature Review

Coronavirus disease 2019 (COVID-19) predominantly affects the respiratory system with manifestations ranging from a mild upper respiratory tract infection to severe acute respiratory distress syndrome. Neurological manifestations of COVID-19 are mainly thrombotic manifestations affecting the nervous system; however, demyelinating manifestation has been less defined. Although some recent studies have described the association between COVID-19 and Guillain-Barré syndrome (GBS), the strength of association and features of GBS in this setting are not yet clear. Here, we report one adult case of COVID-19 infection presenting with acute GBS, which was not preceded by any other respiratory, gastrointestinal, or other systemic infections. We performed a literature search in Medline via PubMed using the keywords or MeSH terms “COVID-19” or “SARS-CoV-2” and “Guillain-Barré syndrome” and “AIDP” and “AMAN,” “Miller-Fischer syndrome” or “MFS. ” We reviewed 99 case reports, 38 reviews, and two meta-analyses. Several published reports have described a possible association between GBS and COVID-19 infection.
Towards a textural sociological approach to single mothers’ voices: a study of Hong Kong mothers

ABSTRACT This article explores single-mothers’ experiences regarding the schooling of their children. Because most research on home-school relations has been derived from samples of two-parent families, little is known about single parents’ perspectives on their children’s education. Drawing on in-depth interviews with eight single mothers in Hong Kong using a textural sociological approach, this article illuminates the essential, hard-to-capture qualities of single-mothers’ everyday lives focusing on how they manage childrearing priorities, how they rationalize their childrearing beliefs and practices, and how they navigate relationships with their children’s teachers, schools and the wider community. The implications include identifying ways for schools and teachers to support single-mother families in their children’s education. The study also extends the existing literature on home-school relations providing a textural understanding of diverse family lives.
Multifaceted Microcephaly-Related Gene MCPH1

MCPH1, or BRIT1, is often mutated in human primary microcephaly type 1, a neurodevelopmental disorder characterized by a smaller brain size at birth, due to its dysfunction in regulating the proliferation and self-renewal of neuroprogenitor cells. In the last 20 years or so, genetic and cellular studies have identified MCPH1 as a multifaceted protein in various cellular functions, including DNA damage signaling and repair, the regulation of chromosome condensation, cell-cycle progression, centrosome activity and the metabolism. Yet, genetic and animal model studies have revealed an unpredicted essential function of MPCH1 in gonad development and tumorigenesis, although the underlying mechanism remains elusive. These studies have begun to shed light on the role of MPCH1 in controlling various pathobiological processes of the disorder. Here, we summarize the biological functions of MCPH1, and lessons learnt from cellular and mouse models of MCPH1.
Short-Term Energy Forecasting Using Machine-Learning-Based Ensemble Voting Regression

Meeting the required amount of energy between supply and demand is indispensable for energy manufacturers. Accordingly, electric industries have paid attention to short-term energy forecasting to assist their management system. This paper firstly compares multiple machine learning (ML) regressors during the training process. Five best ML algorithms, such as extra trees regressor (ETR), random forest regressor (RFR), light gradient boosting machine (LGBM), gradient boosting regressor (GBR), and K neighbors regressor (KNN) are trained to build our proposed voting regressor (VR) model. Final predictions are performed using the proposed ensemble VR and compared with five selected ML benchmark models. Statistical autoregressive moving average (ARIMA) is also compared with the proposed model to reveal results. For the experiments, usage energy and weather data are gathered from four regions of Jeju Island. Error measurements, including mean absolute percentage error (MAPE), mean absolute error (MAE), and mean squared error (MSE) are computed to evaluate the forecasting performance. Our proposed model outperforms six baseline models in terms of the result comparison, giving a minimum MAPE of 0.845% on the whole test set. This improved performance shows that our approach is promising for symmetrical forecasting using time series energy data in the power system sector.
Robust Statistical Inference in Generalized Linear Models Based on Minimum Renyi’s Pseudodistance Estimators

Minimum Renyi’s pseudodistance estimators (MRPEs) enjoy good robustness properties without a significant loss of efficiency in general statistical models, and, in particular, for linear regression models (LRMs). In this line, Castilla et al. considered robust Wald-type test statistics in LRMs based on these MRPEs. In this paper, we extend the theory of MRPEs to Generalized Linear Models (GLMs) using independent and nonidentically distributed observations (INIDO). We derive asymptotic properties of the proposed estimators and analyze their influence function to asses their robustness properties. Additionally, we define robust Wald-type test statistics for testing linear hypothesis and theoretically study their asymptotic distribution, as well as their influence function. The performance of the proposed MRPEs and Wald-type test statistics are empirically examined for the Poisson Regression models through a simulation study, focusing on their robustness properties. We finally test the proposed methods in a real dataset related to the treatment of epilepsy, illustrating the superior performance of the robust MRPEs as well as Wald-type tests.
Joint Parallel Offloading and Load Balancing for Cooperative-MEC Systems With Delay Constraints

Mobile-edge computing (MEC) has been recognized as a promising solution to provide efficient communication and computation capabilities for mobile users (MUs). However, the problem relating to parallel offloading and load balancing with multiple cooperative MEC servers and massive delay-sensitive execution workloads remains to be investigated. In this paper, we study a joint parallel offloading and load balancing policy for such an MEC system. We formulate a long-term system average-cost (i.e., weighted sum of energy consumption and execution delays) stochastic programming problem under MU battery level stability and delay constraints. Our aims include optimizing the data sizes for uplink offloading transmissions for optimized communication and computation resource allocation among multi-users, and maximizing the computation capability utilization of cooperative MEC servers by load balancing. To solve this problem, we first design a Lyapunov-based centralized cost management algorithm (LYP-CCMA) to obtain the optimal system average-cost under the battery level stability constraints. Further, we propose two algorithms based on alternating direction method of multipliers (ADMM) to implement distributed resources allocation. Simulation results verify our analysis and demonstrate the superior performance of our proposed schemes over several baseline schemes.
Effects of Tylosin, a Direct-Fed Microbial and Feedlot Pen Environment on Phenotypic Resistance among Enterococci Isolated from Beef Cattle Feces

In two sequential replicates (n = 90 and n = 96 feedlot finisher cattle, respectively) we measured the impact of an Enterococcus faecium-based probiotic (DFM) and an altered feedlot pen environment on antimicrobial resistance among fecal enterococci in cattle fed (or, not fed) the macrolide tylosin. Diluted fecal samples were spiral-plated on plain and antibiotic-supplemented m-Enterococcus agar. In the first replicate, tylosin significantly (p < 0.05) increased the relative quantity of erythromycin-resistant enterococci. This effect was diminished in cattle fed the DFM in conjunction with tylosin, indicating a macrolide susceptible probiotic may help mitigate resistance. A similar observed effect was not statistically significant (p > 0.05) in the second replicate. Isolates were speciated and resistance phenotypes were obtained for E. faecium and E. hirae. Susceptible strains of bacteria fed as DFM may prove useful for mitigating the selective effects of antibiotic use; however, the longer-term sustainability of such an approach remains unclear.