Miracle-dz/UniFAR-FTUs huggingface dataset:
Does More Moisture in the Atmosphere Lead to More Intense Rains?

It is typically interpreted that more moisture in the atmosphere leads to more intense rains. This notion may be supported, for example, by taking a scatter plot between rain and column precipitable water. The present paper suggests, however, that the main consequence of intense rains with more moistures in the atmosphere is that there is a more chance to happen, rather than of an increase in the expected magnitude. This tendency equally applies to any rains above 1 mm/6h to a lesser extent. The result is derived from an analysis of 33 local rain–gauge station data and a shared sounding over Friuli Venezia Giulia, North–East Italy.
Simulation and Analysis of Cantilever-Membrane Structure for Piezoresistive Micro-Accelerometers

Dynamic and static performances are the most important parameters for accelerometers. The natural frequency decides the sensor’s working frequency band, and the accompanying stress represents the measurement sensitivity. In this paper, a novel sensing structure, cantilever-membrane structure, for piezoresistive accelerometers is studied, in order to detect the structural dimension’s effect on the sensor. With the help of FEM (Finite element method) software, the first order natural frequency of the cantilever-membrane based accelerometer is investigated with the different combinations of membrane’s dimensions. The accompanying stress of the sensing structure is also simulated in this paper. The results show that the membrane’s dimensions affect the frequency and stress more tempestuously when the membrane is short, but the tendency become gentle when the width of the membrane increases.
REMOVING ARTIFACTS IN EEG DATA BASED ON WAVELETS AND NEURAL NETWORKS

Electroencephalogram (EEG) is a set of cardiovascular activity that the electrical capacity of cerebral exercise consists of reduced amplitude, and not as much frequency ranges between 4 to 60 Hz, which may readily mix up distinct non-cerebral signs and other ecological noise signs. The extraction of genuine cerebral signs from your infected EEG indicate could be the primary barrier in clinical investigation. Noise removing from recorded EEG indicate is the most required for far better diagnosis of mind ailments. Throughout recoding period, EEG signs are often polluted by numerous racket and distortions thanks several artifacts. These noisy EEG signs may possibly cause erroneous prognosis of brain ailments. There are plenty of methods accessible to take out the noises out of EEG signs. However, these methods are not able to take out the noises absolutely. But they could diminish the noise from EEG signs therefore your medical professionals can forecast mind ailments. The operation of all the existent systems in electromyograph artifact removing has been constrained and endured against over-fitting issue. Right here we present a Nevertheless they could diminish the noise from EEG signs therefore the medical professionals can forecast mind ailments. This work allows to reduce the noises by pre-processing brand new wavelets that are numerically steady and orthogonal foundations will probably be suggested making use of Morelette wavelets and categorized with convolutional neural networks (CNN). The performance of the proposed method is compared without preprocessing of the existing methods. From the results the proposed method with pre-processing (morlet wavelet de-noise) (%) achieves accuracy with maximum percentage of 88.175, Precision with maximum of 94.4%,recall with minimum of 83.94 %, FPR with minimum of 6.39 % and F-Measure with maximum of 88.86% achieved .
Modelling and mapping ferroresonant states in series compensated distribution and subtransmission lines

Series capacitors can increase the power carrying capacity of subtransmission and distribution lines by reducing voltage regulation. The potential exists in selected locations for utilities to both improve the customer quality of supply and increase the supply capacity. The possibility of ferroresonance and effective countermeasures to ferroresonance are important issues that need to be carefully considered at the design stage. Other design issues are capacitor location, ohmic reactive value, transient behaviour, short circuit withstand and capacitor protection. Ferroresonance can cause severe overvoltages and heavy currents resulting in damage to power system equipment and customer installations. This paper describes a ferroresonance model incorporating both time domain and frequency domain techniques. The ferroresonance model is used to map the possible ferroresonant states. A small scale laboratory nonlinear ferroresonant circuit was constructed with the experimental results comparing favourably with the predicted model behaviour. For series compensated lines and other circuit arrangements, the ferroresonance model allows the prediction of ferroresonant states and the examination of countermeasures.
Investigation on the Stability of Parallel and Oblique Plates as Suppressors of Vortex-Induced Vibration of a Circular Cylinder

Experiments have been carried out with models of free-to-rotate parallel and oblique plates fitted to a rigid section of circular cylinder to investigate the effect of plate length and oblique angle on the stability of this type of vortex-induced vibration (VIV) suppressor. Measurements of the dynamic response and trajectories of motion are presented for models with low mass and damping which are free to respond in the cross-flow and streamwise directions. It is shown that, depending on a combination of some geometric parameters, the devices might not be able to completely suppress VIV for the whole range of reduced velocities investigated. Plates with larger oblique angles turned to be less stable than parallel plates and induced high-amplitude vibrations for specific reduced velocities. Systems may present streamwise vibration due to strong flow separation and reattachment on the outer surface of plates with large oblique angles. Large angles may also increase drag. Experiments with a plain cylinder in the Reynolds number range from 3000 to 20,000 have been performed to serve as reference. Reduced velocity was varied between 2 and 13. Two-dimensional numerical simulation of static systems at Re = 10,000 revealed that complex and fully separated flow regimes exist for almost all investigated cases. There is a good chance that systems with such geometric characteristics will be unstable unless other structural parameters are positively verified.
Local observability matrix and its application to observability analyses

A local observability matrix for a linear time-varying system is introduced. The matrix is useful for observability analysis; it is much easier to use than the usual observability grammian for linear time-varying systems. The matrix is applied to a terrain-aided inertial navigation system to reveal the observability of the system in terms of the nature of the terrain. Results of a simulated covariance analysis are presented and discussed. <<ETX>>
On the Value of Interaction and Function Approximation in Imitation Learning

We study the statistical guarantees for the Imitation Learning (IL) problem in episodic MDPs. Rajaraman et al. [22] show an information theoretic lower bound that in the worst case, a learner which can even actively query the expert policy suffers from a suboptimality growing quadratically in the length of the horizon, H . We study imitation learning under the µ -recoverability assumption of [27] which assumes that the difference in the Q -value under the expert policy across different actions in a state do not deviate beyond µ from the maximum. We show that the reduction proposed by [25] is statistically optimal: the resulting algorithm upon interacting with the MDP for N episodes results in a suboptimality bound of (cid:101) O ( µ |S| H/N ) which we show is optimal up to log-factors. In contrast, we show that any algorithm which does not interact with the MDP and uses an ofﬂine dataset of N expert trajectories must incur suboptimality growing as (cid:38) |S| H 2 /N even under the µ -recoverability assumption. This establishes a clear and provable separation of the minimax rates between the active setting and the no-interaction setting. We also study IL with linear function approximation . When the expert plays actions according to a linear classiﬁer of known state-action features, we use the reduction to multi-class classiﬁcation to show that with high probability, the suboptimality of behavior cloning is (cid:101) O ( dH 2 /N ) given N rollouts from the optimal
Socio-economic supports available for the education of adolescent girls in child- headed families in the Kingdom of Eswatini: Policy Implication for Educational Evaluators

The study sought the socio-economic supports available for the high school adolescent girl learners from child-headed families (CHFs). The study used the phenomenological research design using a total of 40 learners from five (5) rural schools which were randomly selected for the study. Data were collected using focus group discussions and individual interviews. Data collected were thematically analyzed by scrutinizing them for commonalities. The findings of the study revealed that the adolescent girls in CHFs receive the majority of their socio-economic supports from the communities and non-governmental organizations while the government does not do much for them in terms of their socio-economic needs for their education. Hence, the participants expected from government full support for them in terms of their educational socio-economic needs. These findings have policy implications for educational evaluators across the globe. This implies that educational evaluators in conjunction with the appropriate government authority need to come up workable policy document to submit the children from CHFs. It was recommended, that the Ministry of education and Training should make frantic efforts to ensure that the educational needs of adolescent girls in CHFs are met.
Kinematic Analysis of 3D-printed Flexible Delta Robots

Flexible Delta robots show significant promise for use in a wide array of manipulation tasks. They are simple to design and manufacture, and they maintain a high level of repeatability and precision in open loop control. This thesis analyzes the kinematic properties of flexible Delta robots and addresses questions about the control and design of Delta-based manipulators. We develop an analytical model for the kinematics of a rigid Delta robot with approximated universal joints, which is then used to compare the kinematics of flexible and rigid Delta robots. We develop an algorithm to detect and prevent collisions between adjacent Delta robots. We model the flexible Delta kinematics using neural networks, obtaining ground truth from computer vision, and explore the generalizability and repeatability of the learned kinematics. Finally, we obtain initial force profile results, and identify questions to be addressed in future
Syntactic and phonological processing of children with learning disabilities

Introduction: Learning difficulties are well known for poor school performance, however, it is important to differentiate them and understand their origins and symptoms. Objective: This study aimed to verify phonological and syntactic processing skills in students with learning difficulties and to investigate whether changes are overlapping, which may indicate possible changes in the underlying language. Methods: This study involved 30 schoolchildren, ages seven to 11, of both genders, from 2nd to 5th grade, divided into experimental and control group. Tools were used to evaluate the rapid naming of figures, repetition of pseudowords, reading of words and pseudowords, phonological awareness and understanding of syntactic processing. The results were analyzed through statistical tests. Results: A statistically significant difference was observed between the performances of participants with and without learning difficulties for most phonological processing skills, indicating better control group results. In addition, there was an age-related performance difference for the experimental group in phonological processing tasks, with better yields for older children. Regarding syntactic processing, no significant statistical differences were found between the groups, and a subtle difference between ages was observed only in relation to the understanding of the relative fit of object with transitive verb. Conclusion: The performance of children with learning difficulties is shown to have changed only for phonological processing skills. Regarding syntactic processing, the groups showed similar results; however it is necessary to increase the sample size for conclusive results. * Universidade Federal Fluminense, Rio de Janeiro, RJ, Brasil. Authors’ contributions IPG: Study conception and design. Data collection and analysis, manuscript drafting. TB: Study conception, design and supervision, data analysis. Manuscript drafting and revision. Correspondence email address: Isabella Passos Guarald tatianabagetti@id.uff. br Received: 23/02/2021 Accepted: 09/08/2021 Distúrb Comun, São Paulo, 33(4): 712-728, dezembro, 2021 Isabella Passos Guarald, Tatiana Bagetti https://doi.org/10.23925/2176-2724.2021v33i4p712-728 Syntactic and phonological processing of children with learning disabilities
Applications of Deep Learning in Cardiovascular Disease (CVD) diagnosis and prognosis: A Review

Diagnosis and prognosis of cardiovascular diseases (CVDs) are becoming a tough task in the health care system. Hospitals are providing various expensive treatments to treat heart-related diseases. As per WHO due to CVD the death toll is approximately 18 million per year throughout the world. So the early detection of CVD can cause the degradation in death toll by providing earlier treatment. Machine learning plays a vital role in providing automated diagnosis methods through which the disease can be detected in the early stage. Several state-of-the-art machine learning algorithms such as Support Vector Machine (SVM), Naïve Bayes (NB), Logistic Regression (LR), Decision Tree (DT), kNN, and Neural Network (NN) are present which helps in providing the automated model. Nature-inspired optimization algorithms and dimensionality reduction techniques help in increasing the efficiency of the model while dealing with the microarray data. But the machine learning model accuracy downgrades with image data. As in CVDs, the image data are the main input through which the disease can be detected more accurately so the researchers move towards the deep learning approach. Some of the deep learning approaches such as the ANN, RNN, CNN, etc. play an important role while dealing with some image data and the accuracy is shown as high as compared to the ensemble machine learning models in various research work. In this current article, a brief literature survey has been done with machine learning and deep learning approaches to deal with CVDs.
Body Segment Contributions to Javelin Throwing during Final Thrust Phases

This study investigated body segment contributions to javelin throwing during the last thrust phases. A 3-D analysis was performed on male and female javelin throwers during the finals of the 1992 Olympic Games in Barcelona. The subjects were videotaped from the right sight of the throwing area by two NAC high-speed cameras operating at 100 frames per second. Both men’s and women’s grip of javelin and body center of mass displayed a curved pathway to the right from the left (bracing) foot during the final foot contact. The position of the body center of mass decreased at the beginning of the final foot contact, but after the decrease period it began to increase. Simultaneously with the increase, the peak joint center speeds occurred in a proper sequence from proximal to distal segments and finally to the javelin at release. Release speed correlated significantly with throwing distance in both male and females.
Finance Over the Life Cycle of Firms : Evidence from High-and Middle-Income Countries By

A vast literature has studied the relation between the functioning of financial markets and economic growth. This line of research is motivated by the positive correlation between finance and income observed across countries. Less is known, however, about the nature of external financing over the life cycle of firms and whether these patterns vary for countries of different levels of development. To fill this gap, Boar, Kochen, and Midrigan (2021) use firm-level microdata, for a large sample of private firms in 11 high-income (HI) and 7 middle-income (MI) European countries, to present a comprehensive picture of how firms finance their operations at different points of their lifetimes.1
EFFECTS OF MATHEMATICS PEER TUTORING STRATEGY ON GEOMETRY ACHIEVEMENT OF SLOW LEARNERS AMONG JUNIOR SECONDARY SCHOOL STUDENTS IN NIGER STATE

The study aims at investigating the Effect of Peer-Tutoring on Geometry Performance of Slow Learners among Junior Secondary School Students in Niger state. ‘Quasi Experimental design was used for the study. The sample consisted of 77 students; 36 students were assigned to the experimental group and 41 students to the control group. The experimental group was taught using Peer-Tutoring and the Control Group was taught using Conventional (Lecture) method. The data collected was analyzed using mean and t-test statistics. The study revealed that Peer-Tutoring is more effective than the conventional approach in enhancing slow learners’ achievement in geometry. There was no significant difference in gender performance of the slow learners taught Geometry using PeerTutoring. Based on the findings it was recommended among others that secondary school teachers should be trained on the effective use of Peer-Tutoring in order to enhance the students’ performance in JSS Geometry.
PROJECT MANAGEMENT AND LEGAL REQUIREMENTS INTEGRATION: A MODEL FOR ETHICAL CONSIDERATIONS

Organizations have noted that behaviors which are both ethical and legal are the underlying basis for enhancing competitiveness, stabilizing the bottom line, and marketing images (Cross & Miller, 2009; Driscoll, & Hoffman, 2009; McManus, 2009). Thus, it is important to understand the ethical dilemmas that confront project management teams and develop approaches and models to minimize the chances of behaving in unethical and legally irresponsible manners. This paper examines the project management and legal considerations of implementing projects by utilizing a model to discuss the integrating processes and considerations. The Project Management and Legal Requirements Integration Model, presented herein, provides a framework for project teams to discuss ethical and legal integrations and provides practical methods in which to communicate the importance and use of project management and legal integrations.
Risk factors for acute bilirubin encephalopathy in full-term infants-a multicenter study

Objective: The purpose of this study was to evaluate the neurotoxicity risk factors in predicting acute bilirubin encephalopathy (ABE) at admission in infants with severe hyperbilirubinemia. Methods: We analyzed the general clinical data and risk factors as determinants of ABE in a total of 329 full-term newborns treated with total serum bilirubin (TSB) at a level of 20 mg/dL (342 μmol/L) to 7 neonatal intensive care units in Hebei Province, China over the past 18 months. Results: Admission of TSB level ranged from 20 to 56.2 mg/dL. There were 13 newborns (4.0%) of subtle ABE at admission and 22 newborns (6.7%) of moderate or severe ABE at admission. Twelve infants (3.6%) had evidence of bilirubin encephalopathy (BE) at the time of follow-up. Sepsis (OR: 17.05) greatly increased the risk for ABE, and TSB and bilirubin to albumin ratio (B/A) level were risk factors of adverse outcome in logistic regression (OR: 1.009, 1.308, respectively). Conclusions: TSB, B/A and sepsis are risk factors for ABE.
Hallux valgus deformity: Treatment options, post-operative management, and return to sport

Hallux valgus is the commonest forefoot deformity, consisting in a deviation of the great toe. The pathophysiology is complex and multifactorial, with women being more affected than men. Hallux valgus causes symptoms in three ways: pain in the bunion, lack of space for the other toes, and metatarsalgia. Traumatic hallux valgus is an increasingly common injury in the athletic population and represents a unique variant of turf toe. Patients in whom conservative measures fail to relieve symptoms may be considered for surgery, since none of the non-surgical treatment options can permanently correct the hallux valgus deformity. Concern exists on the correct treatment approach and the most appropriate surgical technique, especially in athletes. Newest minimally invasive procedures allow to achieve good clinical and radiographic outcomes and they are associated with decreased recovery and rehabilitation times. Post-operative rehabilitation is aimed to restore physiological gait and foot function, encouraging both plantar pressure on the first ray and joint mobility, with walking immediately permitted. Further studies of higher levels of evidence should be performed to identify the correct indications for this disease. The aim of this narrative review is to give an insight about the treatment options, related post-operative rehabilitation, and return to sport.
SOFT AND HARD TISSUE RIDGE AUGMENTATION AROUND DENTAL IMPLANT SURGICAL SITE

Recently dental Implant therapy has become a widely accepted treatment option for the replacement of missing teeth. According to available literature, successful maintenance and regeneration of the keratinized gingiva and bone which are lost following tooth extraction at implant site is very important for long term survival of implant. In present case report, A 24-year-old Saudi female student, was referred to replace her missing tooth #46. Through clinical and radiographic examination revealed inadequate keratinized gingiva and horizontal bone loss in the area of #46. After phase I therapy, soft tissue augmentation was achieved by using free gingival autograft. After three months of healing, we placed the dental implant with hard tissue augmentation by using xenograft. Six months post-operative follow-up yielded positive results with respect to esthetic and function. Prosthetic rehabilitation of the implant was done with a ceramic crown for reestablishment of masticatory function. A comprehensive treatment planning is essential for achieving positive outcomes. The presence of a bunch of soft and hard tissue improves long term survival of implant and makes plaque maintenance easier around it.
Parallel Ant System Based on OpenMP

To overcome the limitation of precocity and stagnation in classical ant colony algorithm, this article presents a Parallel Ant System Based on OpenMP. The ant colony is divided into three children ant colonies according to the characteristics of natural ant colony multi-group and pheromone updating features of ant colony algorithm. By Open Multi-Processing parallel programming idea, the parallel and cooperating optimization of children ant colonies was obtained. It organically combines local search and global search, makes full use of computing power of multi-core CPU, and improves the efficiency significantly. Contrastive experiments show that the algorithm has a better capability of global optimization than traditional ant colony algorithm.