Miracle-dz/UniFAR-FTUs huggingface dataset:
Cleft palate in Pierre Robin sequence

Pierre Robin’s sequence PRS is a congenital malformative sequence with a retrognathism, a glossoptosis and an upper respiratory obstruction with an associated cleft palate. This malformative association can be disabling for both the child and his parents, because of its aesthetic, functional, psychological and social impacts. Patients and methods: We have investigated 14 patients with PRS presenting cleft palates, collected over a period of 5 years, from March 2014 to November 2019 in the pediatric surgical emergencies department (PSE) in Rabat Children’s Hospital (HER). Results: Nine of the 14 patients had a complete cleft palate. The average age of intervention was 23 months ranging from 13 months to 4 years. The study showed a slight female predominance (n = 8, 57%). Regarding the treatment, 3 patients were treated with the Bardach’s technique, 3 had the Von Langenbeck’s technique, 3 had the Push-back technique and one patient who suffered from a post-operative persisting velar division was treated by veloplasty 3rd generation. The hospital stay was around 24 hours and the post-operative follow-up was uncomplicated for all our patients. Conclusion: Although we had a relatively high success with our approach, the complexity and lack of consensus regarding the management of Pierre Robin’s sequence still requires the involvement of a multidisciplinary team. The main aim is to give the best aesthetical and functional results in order to reduce the suffering of the PRS children and families.
Pedagogical practice and students’ perceptions of fully online flipped instruction during COVID-19

ABSTRACT With courses being moved online because of COVID-19, there is a need for exploring innovative and effective online teaching models. This article firstly introduces the pedagogical practice of the fully online flipped instruction (FOFI), an adaptation of the flipped classroom approach that is employed completely online, which has been adopted for EFL undergraduates in China during COVID-19 based on video conferencing and prior experience in Small Private Online Course (SPOC)-based flipped classrooms. A questionnaire and two focus group discussions were conducted to investigate students’ perceptions of this model. The data were collected and analysed quantitatively and qualitatively, which reveal their positive perception concerning teacher instruction, varied interaction, and multifunctional platforms. However, less motivated students hold contrasting opinions on learning platforms and online interaction. This study also demonstrates that students’ interests, self-regulation, and learning environment significantly affect learner experience and learning outcomes. The implications for the implementation of FOFI are further discussed.
Traffic Delay Cost Savings Associated with Trenchless Technology

This paper focuses on trenchless technology cost savings due to elimination of traffic disruptions associated with utility cuts. Typical construction durations and traffic control plans for two lane roads have been utilized to develop equations for calculating traffic disruptions. The results show that as traffic levels increase, the user delay costs can be significant. It is suggested that the methodology presented can enable the decision maker to consider total costs, including user delay costs associated with typical traffic control plans, and that in certain cases this can make trenchless technology the most economic alternative.
Buck-Boost Single-Stage Microinverter for Building Integrated Photovoltaic Systems

Microinverters for Building Integrated Photovoltaic (BIPV) systems must have had a small number of components, be efficient, and be reliable. In this context, a single-phase Buck-Boost Single-stage Microinverter (BBSM) for grid-connected BIPV systems is presented. The concept of topology is extracted from the buck-boost converter. The leakage current in the system is kept under control. It uses an optimal number of active and passive components to function at a high-efficiency level. The suggested topology provides a high level of reliability due to the absence of shoot-through problems. To validate the findings, a simulation in combination with an experimental system for a 70 W system is developed with the design approach. The efficiency of the microinverter, total harmonic distortion of the grid current are measured as 96.4% and 4.09% respectively. Finally, a comparison study has indicated the advantages and disadvantages of the suggested inverter.
ET4ET: A Large-Scale Faculty Professional Development Program on Effective Integration of Educational Technology

Educators have recommended that the affordances provided by ICTs should be used to promote student-centered constructivist learning. While the actual use of ICT in education has increased, not much change has occurred in terms of the pedagogical practices followed. Information transmission models of teaching are still being followed, albeit with the use of ICT. Efforts at the school level attempt to address this problem via teacher education programs that emphasize ICT integration with constructivist practices. In higher education settings, there are fewer reported studies on ICT integration at a systemic level, and most decisions related to the use of ICTs are left to the instructor. In this paper, we describe the design, implementation and evaluation of ET4ET, a large-scale faculty professional development program (1138 participants) on effective integration of educational technology for engineering college instructors in India. Guided by the Attain-Align-Integrate (A2I) model, the ET4ET program prepares instructors to implement ICT supported student-centric teaching strategies. To ensure engagement and learning of the participants, active learning strategies are implemented throughout the ET4ET program. This paper traces the development of ET4ET, from a small-scale face-to-face implementation to a large-scale mode mediated by technology, and suggests guidelines for similar training programs.
Dynamic fuzzy-neural fluctuation smoothing rule for jobs scheduling in a wafer fabrication factory

Abstract The present paper proposes a dynamic fuzzy-neural fluctuation smoothing rule to improve the performance of scheduling jobs in a wafer fabrication factory. The rule is modified from the well-known fluctuation smoothing rules with some innovative treatments. First, two non-linear forms of the fluctuation smoothing rule are obtained. To consider two performance measures (the average cycle time and cycle time variation) simultaneously, the two non-linear fluctuation smoothing rules are merged into a bi-criteria rule. Second, to tailor the content of the bi-criteria rule for a specific wafer fabrication factory, a dynamic factor is designed which facilitates the gradual transition between rules. Third, the remaining cycle time of a job to be scheduled is estimated by applying the fuzzy c-means (FCM)-back-propagation network (BPN) approach to improve the estimation accuracy. To evaluate the effectiveness of the proposed methodology, production simulation is also applied in this study. According to experimental results, the proposed methodology outperforms some existing approaches in reducing the average cycle time and cycle time variation at the same time. Moreover, experimental results also reveal that with the dynamic rule it is possible to improve one performance measure without raising the expense of another performance measure.
Stemness-associated senescence genes as potential novel risk factors for papillary renal cell carcinoma

Background Papillary renal cell carcinoma (PRCC) is the 2nd most common type of renal carcinoma; however, there is limited data about PRCC, and strategies for the diagnosis and treatment of PRCC need to be identified. Methods In this study, the stemness-associated senescence (SAS) phenotype of PRCC was obtained by a bioinformatics analysis. We acquired the gene expression profiles of patients with PRCC and calculated the PRCC messenger ribonucleic acid stemness index (mRNAsi). We then screened the SAS genes from the GenAge database. A least absolute shrinkage and selection operator–Cox regression was conducted to examine correlations between risk signatures and the abundance of the SAS genes in the PRCC samples. Functional enrichment analyses were then performed via molecular co-expression studies of mRNAsi, and the risk scores of PRCC patients were calculated. Results We identified the following 8 SAS signatures that were strongly associated with prognosis in PRCC patients: cyclin-dependent kinase 1, heat shock protein family D member 1, platelet-derived growth factor receptor A, cyclin-dependent kinase inhibitor 2B, pyrroline-5-carboxylate reductase 1, sequestosome-1, sirtuin-3, and cyclin-dependent kinase inhibitor 1A. The SAS signatures were significantly associated with the stage and type of PRCC. The calculated risk scores can be used to divide PRCC patients into low- and high-risk groups, and provide guidance in determining treatment plans. Conclusions We have developed a reliable prognostic tool to predict the clinical outcomes of PRCC patients. This tool could improve treatment decisions regarding drug therapy, surgery, and conservative options.
Daily lives of university students in the health area during the beginning of the Covid-19 pandemic in Brazil.

OBJECTIVES To determine the main changes that took place in the daily lives of students in the health area during the beginning of the Covid-19 pandemic in Brazil. METHODS This is a cross-sectional study, carried out from May to June 2020, with 1786 students over 18 years old, regularly enrolled in health courses at higher education institutions in five regions of Brazil. Sampling was by convenience, typified as snowball. In order to collect data, an instrument to describe the sociodemographic profile and the daily lives of students during the pandemic period was used, which was applied via a digital platform on the web. RESULTS The main changes that took place in the daily lives of academic students in the health area in the face of the Covid-19 pandemic in Brazil are related to lower productivity; difficulty concentrating; increased hours of sleep, use of electro-electronic equipment and weight; poorer quality of food; higher consumption of food, legal and illegal substances and medications (mainly analgesics, anxiolytics and antidepressants); less interest in personal appearance; and greater contact with relatives. Regarding emotional changes, it should be underlined the complaints of anxiety, stress, anguish, confusion, helplessness and depression. CONCLUSIONS During the beginning of the Covid-19 pandemic in Brazil, the students in the health area experienced several changes in their daily lives, which deserve special attention from higher education institutions and health systems, envisioning interventions to minimize health risks to this population.
Systematic Literature Review: An Intelligent Pulmonary TB Detection from Chest X-Rays

Tuberculosis (TB) is one of the top ten reasons for death from an infectious agent. Although TB is curable and preventable, delay in diagnosis and treatment can lead the patient to death. Advancements in computer-aided diagnosis (CAD), particularly in medical images classification, significantly contribute to early TB detection. The current state-of-art CAD for medical images classification applications using a method base on deep learning techniques. The problem faced in this deep learning technique is that, in general, it only uses a single modal for the model. In contrast, in medical practice, the data used for TB analysis not only focuses on images but also includes clinical data such as demographics, patient assessments, and lab test results. This systematic literature review describes different deep learning methods using single modal or multimodal techniques that combined images with other clinical data. We conducted a systematic search on Springer, PubMed, ResearchGate, and google scholar for original research leveraging deep learning for Pulmonary TB detection.
Sensor less field oriented control of an induction motor using an instantaneous slip frequency estimation method

A speed-sensor-less torque-control scheme for an induction motor using a current-source inverter is proposed. The method is based on field-oriented control; the instantaneous slip frequency is estimated from terminal voltages and currents of the motor. An improved instantaneous-slip-frequency estimation method and a rotor-speed estimation method are described. The incremental system transfer function around operating points is used to determine the optimum values of the estimator gains and the torque controller gains, which are needed in the analysis. Experimental and simulation results that confirm the validity of the approach are given. <<ETX>>
"In Vitro Introduction, Proliferation and Medium-Term Establishment of Various Yams’ Species (Dioscorea Spp.)"

Series of experiments were conducted in this study. The experiments begin with the use of yams’ aerial tuber as an explant for in-vitro introduction. Small aerial tubers of two yam species, obtained from 9 months old plants grown in a greenhouse were sterilized and cultivated in three different media. D. polystachya Turcz. gave 68% regeneration of shoots and roots which was significantly higher than that of D. bulbifera L. (16%) 4 weeks after culture. In the second experiment, studies went on an already existing in vitro collection to determine the multiplication rate during storage. Thirty-five yam accessions, established in two different temperature regimes, were used to determine the multiplication rate by sub-culturing sin-gle nodes with one leaf every two months. Sub-tropical/temperate yams theoretically can multiply almost as good as tropical yams. However, not all explants can further multiply. In the third experiment, determination of TMR was continued on five selected genotypes representing four different species up to 10 cycles of sub-culture. D. bilbufera, D. polystachya and D. cayanensis Lam. , exhibited consistent theoretical multiplication rate whilst the multi-plication rate for D. alata L. decreased at the initial study but started to recover after 4 cycles of sub-culture. Received: July 14, 2021
Intrusion Detection Based on Big Data Fuzzy Analytics

In today’s world, Intrusion Detection System (IDS) is one of the significant tools used to the improvement of network security, by detecting attacks or abnormal data accesses. Most of existing IDS have many disadvantages such as high false alarm rates and low detection rates. For the IDS, dealing with distributed and massive data constitutes a challenge. Besides, dealing with imprecise data is another challenge. This paper proposes an Intrusion Detection System based on big data fuzzy analytics; Fuzzy C-Means (FCM) method is used to cluster and classify the pre-processed training dataset. The CTU-13 and the UNSW-NB15 are used as distributed and massive datasets to prove the feasibility of the method. The proposed system shows high performance in terms of accuracy, precision, detection rates, and false alarms.
Closed-Incision Negative Pressure Wound management Following Midline Laparotomy in Gynecological Oncology Operations: A Feasibility Pilot Study

Introduction Surgical site infections (SSIs) are a cause of considerable morbidity and mortality in healthcare. Increasingly, closed-incision negative pressure wound therapy (ciNPWT) is being studied as a potential method of reducing incidence of SSI with conflicting results in the literature. Few studies however have looked at its use in the field of gynecological oncology. Objectives We aimed to compare the incidence of SSI when using ciNPWT dressings versus conventional dressings in gynecological oncology patients undergoing midline laparotomies. Methods This was a pilot study involving 14 patients receiving the ciNPWT dressing and 26 control patients. All patients were followed up for a period of 30 days. We used the American College of Surgeons (ACS) risk calculator to estimate each patient’s risk of SSI in order to risk stratify the groups. Results The incidence of wound infection was 21% (3/14) in the ciNPWT group and 23% (6/26) in the control group (p=0.886). The ciNPWT group was found to be at significantly higher risk for SSI as calculated by the ACS tool (8.8% ciNPWT, 6% control, p=0.004). After stratifying for this difference in risk, still no significant difference in incidence of SSI was found between the two groups (27% (3/11) ciNPWT, 29% (2/7) control p=0.929). Conclusion The incidence of SSI does not appear to decrease by the prophylactic use of the closed-incision negative pressure wound dressing.
Dynamic state estimation including anomaly detection and identification for power systems

A novel method for detecting and identifying three fundamental anomalies, i.e. occurrence of bad data, changes in network configuration and sudden variation of states, in dynamic state estimation for electric power systems is proposed. Examination of innovation processes in the Kalman filter is appropriately used in each step of the detection of anomalies, discrimination between anomalies and application of counterplans. Discrimination between the anomalies is performed by a test based on skewness or the chi-square value of distributions of the innovation processes, although changes in network configuration and sudden variations of states are not always separable. Counterplans, which are different for each case of the anomalies, are developed so as to prevent deterioration in the accuracy of the estimator. Simulation results show that this algorithm works excellently.
An AGC implementation for system islanding and restoration conditions

An island AGC function has been implemented in a large-scale power system, Virginia Power Company (VP), to assist in system emergency and restoration situations. It is the first time that the conventional AGC function has been enhanced to be utilized, rather than to be suspended, under such circumstances. The island AGC function is designed to be implemented in both the real-time and the dispatcher training simulator (DTS) environments. The latter provides a realistic closed-loop simulation environment that mimics the real system behavior, offering an excellent opportunity for operators to be well-trained, aware and prepared for abnormal situations. This implementation has been tested on the VP system model, which consists of 4400 buses and 775 generators. It has successfully completed custom factory tests, and it is the user's opinion that the island AGC will provide a valuable additional capability for use during system restoration. >
A high-performance lateral PNP transistor structure

This paper proposes a novel lateral PNP-type structure that is fully compatible with existing single-polysilicon BiCMOS processes and offers a valid alternative to shallow polysilicon emitter transistors. We have used both an analytical approach and a more accurate computer-aided design, obtaining 0.9 GHz and 4.4 GHz cutoff frequency for 2 /spl mu/m and 0.8 /spl mu/m minimum feature transistors, respectively.
The Prevalence and Correlates of Probable Major Depressive Disorder and Probable Generalized Anxiety Disorder during the COVID-19 Pandemic. Results of a Nationally Representative Survey in Germany

The aim was to clarify the prevalence and correlates of probable major depressive disorder and probable generalized anxiety disorder in the general adult population during the COVID-19 pandemic. Data were derived from a nationally representative survey (August and September 2021). In total, n = 3075 individuals took part. To quantify probable generalized anxiety disorder, the established Generalized Anxiety Disorder-7 (GAD-7; cutoff of 10) was used. Moreover, the Patient Health Questionnaire-9 (PHQ-9; cutoff of 10) was used to quantify probable major depressive disorder. The prevalence of probable major depressive disorder was 20.0% and the prevalence of probable generalized anxiety disorder was 13.4%. Particularly high prevalence rates were observed for younger individuals, individuals with migration background and individuals with at least one chronic disease. The likelihood of probable major depressive disorder was positively associated with younger age, being unmarried, having a migration background, smoking, daily alcohol intake, the presence of chronic diseases and lower self-rated health. Similarly, the likelihood of probable generalized anxiety disorder was positively associated with younger age, being unmarried, smoking, the presence of chronic diseases and lower self-rated health. In conclusion, the magnitude of probable major depressive disorder and probable generalized anxiety disorder in Germany in late summer of 2021 was highlighted. Identifying the correlates of them may help to tackle individuals at higher risk.
Harmonic blocking compensator with adaptive minimization of reactive and unbalanced currents

The paper presents a new method of adaptive compensation and harmonic suppression in distribution systems. The compensator integrates a harmonic blocking compensator with an adaptive balancing compensator resulting in a novel compensator. Such a compensator can be used for compensating reactive power, for symmetrizing supply currents, for protecting the distribution system against load generated current harmonics and, consequently, the voltage harmonic distortion caused by harmonic generating loads. A harmonic blocking compensator provides harmonic suppression while the adaptive balancing compensator, consisting of three thyristor-controlled susceptance circuits, provides the variable susceptances needed for reactive and unbalanced power compensation. The paper presents the operation principles of an adaptive harmonic blocking compensator and its design, as well as results of a computer simulation of such a compensator.
The Spiral of Knowledge Development: Professional Knowledge Development in Planning

Abstract This paper explores knowledge development in professional planners in England, in both the public and private sectors. Through an exploration of how they engage and interact with a rapidly expanding knowledge base, the paper identifies how knowledge and expertise are developed that thereby inform their professional practice. It identifies the role, position in the career and level of expertise of the planner as influential to the drivers for knowledge development and the tools and techniques employed. It proposes that the level of expertise in professional planners should be seen as a spiral rather than a linear transition, and that the planning professional will move in and out of this spiral during their career in response to the changing demands of their professional practice. This paper adds to the body of academic work on the subject of practical knowledge development in planners, which is so far limited in the peer-reviewed literature.
Architecture, building materials and engineering management IV : selected, peer reviewed papers from the 4th International Conference on Civil Engineering, Architecture and Building Materials (CEABM 2014), May 24-25, 2014, Haikou, China

This is a collection of selected, peer reviewed papers from the 2014 International Conference on Civil, Architecture and Building Materials (CEABM 2014), May 24-25, 2014, Haikou, China. The 548 papers are grouped as follows: Chapter 1: City and Building Planning, Architectural Design and Its Theory, Chapter 2: Urban Planning and Design, Chapter 3: Landscape Planning and Design, Chapter 4: Environmental Architecture Research, Chapter 5: Ecological Architecture, Chapter 6: Traditional Construction Materials Research, Chapter 7: Advanced Construction Materials Research, Chapter 8: Building Science and Technology, Chapter 9: Monitoring and Control of Quality Engineering, Chapter 10: Project Management in Building and Construction Management, Chapter 11: Management Research, and, Chapter 12: Engineering Education.