Miracle-dz/UniFAR-FTUs huggingface dataset:
2 Positive Result : The Learnability of Three-Layer ResNet W

How can neural networks such as ResNet efficiently learn CIFAR-10 with test accuracy more than 96%, while other methods, especially kernel methods, fall far behind? Can we more provide theoretical justifications for this gap? There is an influential line of work relating neural networks to kernels in the over-parameterized regime, proving that they can learn certain concept class that is also learnable by kernels, with similar test error. Yet, can we show neural networks provably learn some concept class better than kernels? We answer this positively in the PAC learning language. We prove neural networks can efficiently learn a notable class of functions, including those defined by three-layer residual networks with smooth activations, without any distributional assumption. At the same time, we prove there are simple functions in this class that the test error obtained by neural networks can be much smaller than any “generic” kernel method, including neural tangent kernels, conjugate kernels, etc. The main intuition is that multi-layer neural networks can implicitly perform hierarchal learning using different layers, which reduces the sample complexity comparing to “one-shot” learning algorithms such as kernel methods.
THE GILLBERG CENTRE FOR NEUROPSYCHIATRY AT THE SAHLGRENSKA ACADEMY

• Background and aims Classic autism is one of the most severely impairing conditions that affect human development. Other autism spectrum conditions (ASCs), including Asperger syndrome, are more common than autistic disorder and can lead to severe or moderate psychosocial dysfunction throughout childhood and into adult life. ASCs overlap with and can be difficult to separate from other early symptomatic syndromes eliciting neurodevelopmental clinical examinations (ESSENCE, a concept recently launched by Christopher Gillberg). ESSENCE comprise, among other syndromes, attention-deficit/hyperactivity disorder/ADHD, Tourette syndrome, and developmental coordination disorder (DCD). In the Gillberg Centre for Neuropsychiatry, ASCs and other ESSENCE (including anorexia nervosa) will be studied as regards epidemiology and cause, clinical presentation/early symptoms and comorbidity, heritability and genetics, neurobiology, neurophysiology, neuropsychology, and intervention.
BraPolar: an M-Health Application for Remote Monitoring of People with Bipolar Disorder

Bipolar Disorder (BD) is a disease characterized by unusual changes in mood, energy, activity levels, and self-awareness of the condition. Research related to the screening and collection of subjective information has shown that specialists may help patients using this information. In this article, we present the design of BraPolar, an m-Health application for remote monitoring of patients with BD, detecting fluctuations in mood and behavior. The data parameters collected by the application will indicate early mood changes before the disease reaches extreme functional consequences. We also present a pilot usability evaluation involving six users with non-BD (3 male and 3 female), with an age range from 26 to 54 years. It includes users with non-BD to identify possible usability problems according to different ages and different levels of cell phone dependence of users, to later evaluate the application with BD users. The users mentioned that the application is satisfying and easy to use, but we identified that some features need to be improved to allow a better end-user experience.
Long-term Vessel Motion Predication by Modeling Trajectory Patterns with AIS Data

It is of critical importance for vessels to detect potentially hazardous situations as early as possible. Therefore, recognition and prediction of vessel motions require effective representations for analysis and clustering of motion trajectories. While short-term motion prediction of moving object is largely achievable, long-term prediction is more useful given the restricted maneuverability of vessels since a vessel cannot abruptly stop, turn or reverse as a land vehicle does. To this end, we propose in this study a long-term vessel motion prediction approach based on a combined trajectory classification and long short-term memory (LSTM) networks framework. As a measure for the similarity between trajectories, we introduce the longest common subsequence (LCS) algorithm to define trajectory similarity when making DBSCAN clustering. The grouped trajectories representing various motion patterns are further modeled via LSTM networks, in which vessel trajectory data are formed by regressing relative motion against current position and then the iterative prediction is applied for long-term prediction. We use the proposed approach for classifying and predicting motions in vessel traffic monitoring domains and test on real AIS data. Experiments show the benefit of this approach for long-term motion predication where parametric models such as Kalman Filters would perform poorly.
Effect of Thickness on Photocatalytic Properties of ZnO thin films Deposited by RF Magnetron Sputtering

Zinc oxide (ZnO) thin films were deposited on soda lime glass substrates by using the RF magnetron sputtering technique. The deposition process was carried out in a system initially evacuated at $\pmb{7x10}^{-\pmb{5}}$ torr and a working pressure of 10−3 torr in a pure argon atmosphere, at room temperature. A 2“ diameter and $\pmb{1}/\pmb{4}$ ” thick ZnO target (99.999%) was used. A target-substrate distance of 10 cm, and a working power of 125 W were kept constant. The films were deposited at different thicknesses, 50 to 400 nm. The thickness, the optical, structural and morphological properties were analyzed by profilometry, UV-Vis spectrophotometry, x-ray diffraction (XRD), scanning electron microscopy (SEM) and atomic force microscopy (AFM), respectively. Additionally, three ZnO thin films were used to analyze the photocatalytic performance by using an $\pmb{1x10}^{-\pmb{5}}$ molar aqueous methylene blue (MB) solution, under the irradiation of ultraviolet light with a wavelength of 232 nm, during 5 h. The degradation of MB was carried out by absorbance measurements in the range of 400 to 800 nm every 30 min. The ZnO films showed a wurtzite hexagonal structure with a preferential growth in the (002) planes and good homogeneity. The results obtained from the study of the degradation of methylene blue showed that the ZnO film with a thickness of 400 nm presented the best photocatalytic response.
A Physical Faulty Model Based on Coil Sub-Element for Direct-Drive Permanent Magnet Synchronous Motor With Stator Winding Short-Circuit Faults

As winding short-circuit faults (WSF) in a direct-drive permanent magnet synchronous motor (DDPMSM) degrade its reliability and may cause serious catastrophes, fault detection and diagnosis for the DDPMSM are necessary. The performances analyses of motor under WSF are the basis of fault detection and diagnosis. An efficient and accurate faulty model is a great tool for evaluating motor performances under various WSF. Hence, this paper proposes a novel physical faulty model (PFM) based on the coil sub-element for the DDPMSM with the WSF. Fault position can be examined by differentiating the inductance and the electromotive force of the coil sub-element. This model can evaluate motor performances under various WSF, especially inter-turn short-circuit fault in different positions of the same slot, without changing the internal structure of model. The faults are set by connecting the desired taps as in the practical motor. First, the structure and parameters of the DDPMSM are reported. Second, the inductance calculation matrix, which considers the spatial position of the fault, is constructed. Then, the proposed PFM is established. The motor performances under various WSF are evaluated. Finally, the results of PFM, finite element model and experiment are compared. The results validate the correctness of the proposed PFM.
Management of Adhesive Small Bowel Obstruction Using Gastrografin-A Prospective Study

Background: Adhesions are the most common cause of small bowel obstruction (SBO), especially in patients with a history of previous abdominal surgery. In fact, any patient who undergoes abdominal surgery, that involves opening of the peritoneal cavity, will have an increased lifetime risk for formation of adhesions which may cause bowel obstruction at any point in time. Methods: This prospective open randomized controlled clinical trial study was conducted on 100 patients suffering from adhesive small bowel obstruction with history of previous abdominal surgeries. The Institutional Ethical Clearance was obtained and patients were included in the study after obtaining informed written consent from each patient. Results: This prospective open randomized controlled clinical trial study was conducted on 100 patients suffering from adhesive small bowel obstruction with history of previous abdominal surgeries. These patients were randomly divided into two equal groups. Group A (n=50) received gastrografin and Group B (n=50) were treated conventionally without gastrografin. Conclusion: From our results, we can conclude that Gastrografin is safe and it can be used therapeutically in resolution of ASBO. Clinical and radiological evidences help in identifying the patients who can be treated conservatively.
Epidemiology of Anogenital Human Papillomavirus Infections

Human papillomaviruses (HPVs) are infectious agents responsible for emergence of anogen‐ ital subclinical and clinical infections. HPV infections are the most common sexually trans‐ mitted infections worldwide. More than 100 HPV genotypes have been catalogued so far and from these, over 40 genotypes infect mucosa of anogenital tract and other mucosal areas. The epidemiology of anogenital HPV infections has been well described, especially cervical infections in young women and there are also many epidemiologic data among adults of different age and of different regions of the world. HPV is now recognized as a necessary cause for the apparition of cervical cancer in women, and is responsible for a substantial proportion of many other anogenital neoplasms (anal, vaginal, vulvar and penile cancers), and a nonnegligible portion of head and neck cancers (oral cavity, pharynx, and larynx). HPV is also responsible for the development of benign lesions such as condyloma acuminata (genital warts). Clinical HPV infections are responsible for substantial morbidity and invoke high costs associated with the treatment of clinically relevant lesions. This chapter will review epidemi‐ ology of HPV infections affecting the anogenital tract of men and women.
Way of the future? Daptomycin use in bacteraemia and infective endocarditis. A review of the literature.

Daptomycin ("Cubicin": Cubist Pharmaceuticals) is a naturally occurring lipoprotein antibiotic that has been indicated in the treatment of bacteraemia and infective endocarditis (IE) caused by Staphylococcus aureus . Here a review of literature is performed to assess the efficacy, safety, cost, and clinical utility of daptomycin versus standard therapy in bacteraemia and IE, and to assess the potential usage of daptomycin for this indication in practice.
A Seizure-Based Power Reduction SoC for Wearable EEG in Epilepsy

Epilepsy is one of the most common serious brain disorders affecting 1% of the world population. Epileptic seizure events are caused by abnormal excessive neuronal activity in the brain, which may be associated with behavioural changes that severely affect the patients’ quality of life. These events are manifested as abnormal activity in electroencephalography (EEG) recordings of individuals with epilepsy. This paper presents the on-chip implementation of an algorithm that, operating on the principle of data selection applied to seizures, would be able to reduce the power consumption of EEG devices, and consequently their size, thereby significantly increasing their usability. In order to reduce the power consumed by the on-chip implementation of the algorithm, mathematical approximations have been carried out to allow for an analog implementation, resulting in the power consumed by the system to be negligible in comparison to other blocks in an EEG device. The system has been fabricated in a <inline-formula> <tex-math notation="LaTeX">$0.18~\mu \text{m}$ </tex-math></inline-formula> CMOS process, consumes <inline-formula> <tex-math notation="LaTeX">$1.14~\mu \text{W}$ </tex-math></inline-formula> from a 1.25 V supply and achieves a sensitivity of 98.5% while only selecting 52.5% of the EEG data for transmission.
Space-Time/Frequency Line Coded OFDM: System Design and Practical Implementation

In this paper, we investigate a class of new multiple-input multiple-output (MIMO) transmission schemes, dubbed space time line code (STLC), in the context of different mobility situations. We extend its original structure into space and frequency domains and propose a novel frequency line code (SFLC) for combining with orthogonal frequency division multiplexing (OFDM) in order to achieve potential diversity gains in time-varying multipath fading channels. Specifically, at the transmitter, the STLC/SFLC-OFDM scheme exploits the channel state information (CSI) to linearly encode successive modulated symbols in the time/frequency domain to achieve full diversity gain. At the receiver, it can retrieve the transmit symbols without full CSI, thanks to its special structure. We analyse the impact of time-variant channels to STLC and SFLC to show the expected performance degradation in practical channel, especially in the case of different mobile speeds. Our analysis and simulations show that the BER performance degrades with increasing correlation coefficient, which makes STLC-OFDM more robust in channels with abundant multipath spread, and SFLC-OFDM more robust in channels with high mobility speed. Meanwhile, a guideline is provided for switching when the communication environment changes. Finally, we carry out the practical implementation of STLC-OFDM and SFLC-OFDM schemes and characterize their performance with both computer simulations and an experimental testbed.
Hardware concept of a new BLDC motor controller based on BCD technology

Ahstract- This article discusses a concept of a three-phase inverter based on a new semiconductor smart-power component based on BCD technology. This work also includes dimensioning of the inverter power part temporary based on discrete power semiconductors. The overall hardware design of the inverter is described as well as the motor.
Estimation of single ship emission location and intensity inversion in port water

The special SOX Emission Control Areas (ECAs) had been established to reduce pollution in coastal region. Real-time ship emissions monitoring should be strengthened in SECA. The mainstream remote measurements of gas concentrations are the optical or sniffer monitoring methods. Exhaust emissions location and intensity could not be acquired by methods of remote measurements. Based on monitoring multiple sensors, this paper presents a new inversion method for characteristics of single ship emissions. The Gaussian plume diffusion model (GPDM) and Genetic Algorithm (GA) to calculate the position and concentration of single ship emissions. Simultaneous measurements of CO2, SO2 and NOX concentrations can be achieved by several monitoring stations on the wharf. Multiple solutions of the ship emissions location and intensity have been calculated by the selection, crossover and mutation of GA. As parameters of Gaussian plume diffusion model, those solutions are employed to calculate the gas concentrations on the location of the monitoring stations. The optimal one can be acquired by comparing the measurement and the calculation. The presented algorithm is verified by the real practice for Yantian harbor in Shenzhen.
Internet of Things based Context Aware Health Care Services

The enhancement in the number of sensors deployed to collect every single bit of information to develop intelligent applications is potentially growing in today's Internet of Things paradigm. The acquired data from sensors is to be inferred into meaningful information for decision making to address real world situations. Context information modeling and reasoning is one of the investigative research concern in the design and development of smart health care applications. As the accessed information is inherently imperfect, we propose a computational intelligence technique to analyze uncertainty associated with sensor data. In this paper, we propose Context Information, Observation and Belief (C-IOB) model from the perspective of in-hospital environment and the analysis is based on Bayesian network to deal with imprecise information. The proposed model provides a relevant service based on our research findings.
Information Analysis on Facebook

The research published in the paper is oriented towards information analysis of Facebook data. The brief information about social media, social networks, and Facebook is in the introduction. The literature review analyzes the relevant articles that are indexed on Web of Science. The focus of the review is the research area and the methodology used. It follows its own research methodology and description of two experiments oriented to the theme “Military University”, and “Cyber Security”. Data were obtained from Facebook, using tool Netvizz; the processing included statistical survey and content analysis using Tovek Tools.
Area Optimized Run-time Reconfigurable ALU for Digital Systems

Present day digital systems are implemented considering the constraints of power, area, speed and cost of the internal logic blocks. Arithmetic logic unit is an essential sub-system block found in almost all digital computing systems. There is a need for reducing the overall design cost. Modern SOC applications are implemented on reconfigurable devices such as the FPGAs with built-in processors. Reconfigurable devices have the advantages of flexibility and high density of logic resources. A careful decision during design process facilitates to obtain a trade-off between system performance and resource utilization. Partial reconfiguration is a feature which extends the capabilities of FPGAs. It allows a portion of the FPGA to be reconfigured while other regions of device continue to work without any interruption. Proposed work aims at implementation of different functionalities over the same resources with a time multiplexing concept. Depending on the requirement a suitable adder or a multiplier is switched in to action without using extra resources. Through this proposed work an effort is made to explore the possibility of run-time reconfiguration as applied to 4 bit ALU design. Hence leading to an efficient utilization of resources available on the device. Comparison of ALU design indicating resource utilization and power consumption with and without partial reconfiguration is given. The design is been executed using XILINX Vivado IDE.
Research on G-LBS System for Intermodal Transport Mobile Equipment Based on Satellite

Intermodal container has the characteristics of global circulation, in order to achieve its efficient, transparent and low power operation management on a global scale, the GLBS (global location based service) system is studied in this paper, integrated applications of LEO satellite communications, GNSS (global navigation satellite system), 3G cellular communications and other information technologies. The framework, terminal hardware, software, low power design and implementation of the system were carried out, and the system was experimented and applied. The result shows the system can run normally with low power consumption and provide better information of intermodal container globally. This paper has certain research and practical value in the field of transportation.
Concurrent validity of a patient self-administered examination and a clinical examination for femoroacetabular impingement syndrome

Objective Telehealth has been established as a viable option for improved access and timeliness of care. Physician-guided patient self-evaluation may improve the viability of telehealth evaluation; however, there are little data evaluating the efficacy of self-administered examination (SAE). This study aims to compare the diagnostic accuracy of a patient SAE to a traditional standardised clinical examination (SCE) for evaluation of femoroacetabular impingement syndrome (FAIS). Methods 75 patients seeking care for hip-related pain were included for participation. All patients underwent both SAE and SCE and were randomised to the order of the examinations. Diagnostic accuracy statistics were calculated for both examination group for a final diagnosis of FAIS. Mean diagnostic accuracy results for each group were then compared using Mann-Whitney U non-parametric tests. Results The diagnostic accuracy of individual SAE and SCE manoeuvres varied widely. Both SAE and SCE demonstrated no to moderate change in post-test probability for the diagnosis of FAIS. Although low, SAE demonstrated a statistically greater mean diagnostic accuracy compared with the SCE (53.6% vs 45.5%, p=0.02). Conclusion Diagnostic accuracy was statistically significantly higher for the self-exam than for the traditional clinical exam although the difference may not be clinically relevant. Although the mean accuracy remains relatively low for both exams, these values are consistent with hip exam for FAIS reported in the literature. Having established the validity of an SAE, future investigations will need to evaluate implementation in a telehealth setting.
Dynamics of interacting finite-sized networks of spiking neurons with adaptation

Finite-sized populations of spiking neurons are fundamental to brain function. Here we present a theory of the dynamics of finite-sized populations of neurons, based on a quasi-renewal description of neurons with adaptation. We derive an integral equation with colored noise that governs the stochastic dynamics of the population activity in response to time-dependent stimulation and calculate the spectral density in the stationary state. The theory is applicable to fully as well as randomly connected networks, and to leaky integrate-and-fire as well as to generalized spiking neurons with adaptation on multiple time scales.
Educating Children with Diverse Abilities

For special education courses in schools of early childhood, primary and secondary education. Educating Children with Diverse Abilities 2e, continues with the concept of inclusive curriculum and the diversity of learning needs. With the restructure of special education departments, the second edition has been revised to give students a broad understanding of the principles of inclusive education, and the ways in which teachers can accommodate the differing learning needs of their students. The text has been split into three sections, each dedicated to specific areas of interest. Section 1 Environments: Looks at the significant impact families have on the education process and deals with the general issues relating to all learning situations. Section 2 Essentials: Introduces students to several foundations of the education process. These include designing classrooms and activities that cater to individual needs, deals with intellectual skills, literacy and numeracy and highlights the importance of technology and its use in the classroom. Section 3 Challenges: Shows students the ways in which classrooms, curricula, and teaching practices can be adapted to provide a creative and supportive environment for students with diverse needs. New case studies have been added to give students real life scenarios to consider and analyse. By showing them that teaching does not come from reading alone and the benefit of practical activities will allow them to gain insight and knowledge into the diversity of childrens learning needs.