Miracle-dz/UniFAR-FTUs huggingface dataset:
Smart bus: A tracking system for school buses

An increased concern for parents is the safety of their children on the way back home from school and the timing of their arrival. Waiting school buses in the morning and then in the afternoon to return kids back is a time wasting daily mission on parents, especially with the increasing traffic jams at these hours. In this paper we present a mobile and web application that is designed to address this issue. The system will help parents, the school and the bus to communicate automatically and easily via the application in order to detect kids' arrival time. The bus application side will notify parents few minutes before its approaching to their home. Furthermore, the system will allow parents to inform the school and hence the bus application side about the absence of their kid. The system has been efficiently and dynamically designed and implemented so it can be hosted and used by any school administration without the need to any major modifications.
SAR Image Change Detection Algorithm Based on Different Empirical Mode Decomposition

Empirical mode decomposition (EMD) is a data-driven and multi-scale transform theory, and it is a nonlinear and non-stationary signal processing theory. But each EMD decomposition theory has its advantages and disadvantages. Synthetic aperture radar (SAR) imaging is an important remote sensing technique to obtain the change information, and SAR image data belongs to non-stationary signal. So EMD is very suitable for SAR image processing. There are two kinds of typical EMD theories, which are the ensemble empirical mode decomposition (EEMD) and bidimensional empirical mode decomposition (BEMD). Based on the deep study of the two methods, this paper proposed a new SAR image change detection algorithm, which is called the FCD-EMD algorithm, i.e. fusion change detection based on EMD. So FCD-EMD algorithm can obtain more accurate information, which not only includes the directional information obtained by EEMD, but also can contain the spatial information got by BEMD. The main contribution of the FCD-EMD algorithm is to fuse the detail information in different directions, so that the results obtained are more accurate than the individual method. On the other hand, it can reduce the influence of speckle noise in SAR images by feature selections. The actual SAR image data verify the algorithm proposed in this paper and good experimental results are obtained, which show that the new method is feasible.
[Effects of prone position ventilation on inflammatory factors in blood and bronchial alveolar lavage fluid of acute respiratory distress syndrome dogs caused by pulmonary and extrapulmonary insults].

OBJECTIVE To observe the changes of inflammatory factors in blood and bronchial alveolar lavage fluid (BALF) of different lung areas of acute respiratory distress syndrome (ARDS) dogs caused by pulmonary and extra-pulmonary causes with low tidal volume and positive end expiratory pressure (PEEP) treatment under prone position ventilation. METHODS 24 male mongrel dogs were randomly divided into 4 equal groups:ARDSp (ARDS caused by pulmonary causes) experimental group, ARDSp control group, ARDSexp (ARDS caused by extra-pulmonary causes) experimental group, and ARDSexp control group. The ARDSp dogs inspired detergent to cause lung injury, and the ARDSexp dogs were injected with oleic acid through central vein. The results of TNF-alpha, IL-1beta, and IL-6 of blood and BALF in different areas of dog's lung (upper lobe, heart lobe, and diaphragm lobe) and arterial blood gas under lung protective ventilation treatment were measured. RESULTS After lung injury, the arterial oxygenation index as decreased, and the values of TNF-alpha, IL-1beta, and IL-6 in plasma were obviously getting higher in all groups. The values of inflammatory factors in the BALF from upper lobe and heart lobe of ARDSp dogs were significantly higher than those of the ARDSexp dogs. After receiving low tidal volume and PEEP ventilation under prone position, all dogs were gradually getting ameliorated. CONCLUSION There are statistically those of the differences in inflammatory factor releasing in different lung areas between the ARDSp dogs and ARDSexp dogs, and low tidal volume and PEEP treatment under prone position ventilation shows good effects both on ARDSexp dogs and ARDSp dogs.
An Efficient Approach for the Security Threats on Data Centers in IOT Environment

Internet of Things has progressed from the conjunction of wireless knowledge, MEMS which is termed as micro electromechanical systems, micro facilities and the Internet. The conjunction has helped scratch down the storage walls concerning operating technology (OT) and information technology (IT), and allowing amorphous machine created data to be examined for understandings that will drive enhancements. The Things known as IOT is an arrangement of interconnected computing procedures, mechanical and digital machineries, substances or matters that are delivered with inimitable identifiers, and the ability to handover data over a system without necessitating human to humanoid, or human to computer collaboration. However, the security is one of the main concerns in Internet of things, which should be minimized. There are unnecessary requests from the attacker to overload the data center, which results in the hanging of the servers, decreasing the throughput, and requesting a transmission to the Data centers. This paper deals with an efficient approach to decrease the unwanted request at the Data Centers, so that the sessions will be reduced, and the unnecessary load will be reduced on the data centers, in order to mitigate the effect of attack as much as possible. Keywords—Internet of Things; Data centers; sessions; Security Threats; Networks
Virtual Secondary Path Algorithm for Multichannel Active Control of Vehicle

An enhanced multiple-input multiple-output (MIMO) filtered-x least mean square (FXLMS) algorithm using improved virtual secondary path is proposed as the basis for an active noise control (ANC) system for treating vehicle powertrain noise. This new algorithm is developed to overcome the limitation caused by the frequency-dependent property of the standard FXLMS algorithm and to reduce the variation of convergence speed inherent in multiple-channel cases, in order to improve the overall performance of the control system. In this study, the convergence property of the proposed algorithm is analyzed in the frequency domain in order to yield a better understanding of the physical meaning of the virtual secondary path. In practice, because of the arrangement and sensitivities of the actuators (speakers), transducers (microphones), and physical environment, the magnitude response of the main secondary paths can be very different from each other. This difference will cause difficulty in the overall convergence of the algorithm, which will result in minimal attenuation at some of the channels. The proposed channel equalized (CE) virtual secondary path algorithm is designed to tackle this difficulty by equalizing the mean magnitude level of the main secondary paths and by adjusting other secondary paths correspondingly to keep the coupling effects among the control channels unchanged. The performance of the proposed algorithm is validated by analyzing a twoinput two-output active powertrain noise control system. [DOI: 10.1115/1.4023815]
Fuzzy Control of Wire Feeder in Pulse Welding System

The paper presents a new method for the pulse welding, by which the arc welding power supply voltage is kept stable while the feeding speed is set to vary like a pulse, namely, to make the speedy feeding and low-speed feeding alternate. In the feeder, the couple closed-loop fuzzy control system is adopted for the wire-feeding speed control. In the inner closed-loop of the system, the adjustment is achieved with the motor current as the feedback signal while in the outer closed-loop the adjustment is achieved mainly by the actual speed of wire feeder as the feedback signal. The adjustment on rotating speed and the current relies on the fuzzy controller. Proven by the experiments, the feeder of such a kind is swift in system responding and when needed, the motor speed can be excellently steady. If the set signal is a pulse, the peak current and the base current alternate in the actual welding cases.
Genetic Characterization and Emergence of the Metallo-β-Lactamase GIM-1 in Pseudomonas spp. and Enterobacteriaceae during a Long-Term Outbreak

ABSTRACT Since the first isolation in 2002, the metallo-β-lactamase GIM-1 has not been detected outside Germany. The data presented here, for 50 clinical blaGIM-1-positive isolates, including Pseudomonas spp. and Enterobacteriaceae (Enterobacter cloacae, Klebsiella oxytoca, Serratia marcescens, Escherichia coli, and Citrobacter freundii), collected between 2007 and 2012 at the original site in an ongoing outbreak, demonstrate a diverse genetic background and dissemination of the gene conferring resistance to enteric bacteria.
Obstructive Sleep Apnea and Depression

Abstract Is there an association between obstructive sleep apnea (OSA) and depression? OSA is a common breathing-related sleep disorder. There have been reports that depressive symptoms can be associated with this sleep disorder. A number of investigations have addressed this issue. Although some have found no correlation, most studies have concluded that there is an association between OSA and depressive symptoms. Other investigations have shown that depressive symptoms improve with treatment of OSA, and that untreated OSA may contribute to treatment resistance in some cases of mood disorders. Within the framework of current psychiatric diagnostic criteria, the depressive symptoms associated with OSA can be viewed as a combination of a mood disorder secondary to a primary medical condition and an adjustment disorder with depressed mood. The question of whether OSA causes depressive symptoms can perhaps be best answered by viewing OSA and depression as having certain symptoms that are common to both disorders.
Effects of dietary cis 9, trans 11–18: 2, trans 10, cis 12–18: 2, or vaccenic acid (trans 11–18: 1) during lactation on body composition, tissue fatty acid profiles, and litter growth in mice

Cis 9, trans 11 (c 9, t11)-18: 2 and trans 10, cis 12 (t10, c12)-18: 2 are the major conjugated linoleic acid (CLA) isomers in dietary supplements which reduce milk fat content in nursing women. The present study evaluated the effects of each CLA isomer or vaccenic acid on body composition and tissue fatty acids during lactation in mice. Dams were fed 30 g rapeseed oil (control)/kg diet or 20 g control plus 10 g 18: 0, trans 11–18: 1 (t11–18: 1), c 9, t11–18: 2, or t10, c12–18: 2. Dietary t10, c12–18: 2 reduced food intake by 18 % and carcass fat weight of the dams by 49 % compared with the other treatments. Milk fat percentage ranked by treatment was 18: 0>t11–18: 1=c 9, t11–18: 2>t10, c12–18: 2. The sum of saturated 12: 0 to 16: 0 in milk fat was lower when c 9, t11–18: 2 was fed compared with the control, 18: 0, or t11–18: 1 treatments. Dietary t10, c12–18: 2 caused further reductions in milk fat 12: 0 to 16: 0. The proportion of CLA isomers was 3-fold greater in milk fat than in the carcasses of the dams. The pups nursing from the dams fed t10, c12–18: 2 had the lowest body weights and carcass fat, protein, and ash contents. Nursing from the dams fed c 9, t11–18: 2 also resulted in lower carcass fat compared with the 18: 0 or t11–18: 1 treatments. The ratios of cis 9–16: 1:16: 0 or cis 9–18: 1:18: 0, proxies for Δ9-desaturase activity, were markedly lower in the carcasses of the dams and pups fed t10, c12–18: 2. The ratio of 20: 4n-6:18: 2n-6, a proxy for Δ6- and Δ5-desaturase and elongase activity, in the liver of the dams and pups fed t10, c12–18: 2 also was lower. Dietary t11–18: 1 enhanced the content of c 9, t11–18: 2 in milk fat and carcasses. As in previous studies, the reduction in food intake by t10, c12–18: 2 could not entirely account for the marked decrease in carcass fat content and milk fat concentration. T10, c12–18: 2 probably had a negative effect on Δ9-desaturase and mammary de novo fatty acid synthesis. Although these effects need to be confirmed in lactating women, the results suggest that the consumption of supplements containing t10, c12–18: 2 should be avoided during the nursing period.
Back muscle as a promising site for ovarian tissue transplantation, an animal model.

BACKGROUND The aim of this study was to evaluate the optimal transplantation site for ovarian tissue fragments in murine hosts. We compared the transplantation to the back muscle (B) versus the kidney capsule (K) in a mouse allograft model. METHODS Hemi-ovaries from 12-day-old mice were allografted into B and K of bilaterally ovariectomized same strain recipients which had undergone gonadotrophin stimulation (n = 15). Graft survival after 27 days, angiogenesis and follicle development were scored and compared to age-matched control ovaries (38-day old, n = 5). The ability of oocytes to be fertilized was studied after IVF, ICSI and embryos were transferred to recipient mothers. Anti-mouse CD 31+ antibody was used to evaluate neo-vascularization in grafts. RESULTS Primordial follicle survival was higher (P < 0.01) and vascular support was better (P < 0.01) in B- than in K-grafts. From 34 oocytes retrieved from B-grafts (15 metaphase I, of which 14 matured in vitro, and 19 collected at metaphase II), 18 morulae were obtained. Transfer of 12 embryos obtained by ICSI led to three live offspring, and transfer of six IVF embryos to another recipient mother yielded four offspring, one of which was born dead and one showed placental anomalies. CONCLUSIONS The back muscle is a promising site for ovarian allografts in mice. This is the first report of live offspring obtained after back muscle grafting using both IVF and ICSI.
Germination of Three Native Lupinus Species in Response to Temperature

Abstract Understanding germination requirements of native species is an important component of restoration in south Puget Lowland prairies (Washington, USA). We conducted an experiment to determine the effects of pre-germination treatment and germination temperature conditions on the proportional germination of three species of Lupinas. For one species, Lupinus lepidus, germination was highest following heat shock treatments to the dormant seed, suggesting adaptation to the high temperatures associated with wildfire. For a more widespread species, Lupinus polyphyllus, high heat treatments had no effect, and germination was mildly higher in a temperature sequence simulating winter chilling followed by cool, diurnally alternating temperatures. For a final intermediate species, Lupinus albicaulis, responses to germination temperatures were dependent on high-heat treatments. These data suggest interspecific variation in germination cues where these Lupinus species are influenced differentially by environmental conditions in both breaking of physical dormancy and the promotion of germination. Our results have the potential to improve the establishment of these species from seed in restoration. Specifically, there may be implications for the timing of manual seed sowing and the efficacy of seed establishment following exposure to fire in south Puget Lowland prairies.
Interventions to Improve HPV Vaccine Uptake: A Systematic Review

CONTEXT: The human papillomavirus (HPV) vaccine is a safe, effective cancer prevention method that is underutilized in the United States. Despite increased understanding of barriers to vaccination, rates remain low. Globally, developed and developing nations have achieved high rates of vaccination. OBJECTIVE: Identification of effective strategies is necessary to optimize uptake of the HPV vaccine. We systematically reviewed the literature for national and international interventions that have successfully increased HPV vaccine uptake. DATA SOURCES: We used a standardized protocol to search for articles published between January 1, 2006, and April 30, 2015, in 3 electronic databases: PubMed, Scopus, and Embase. STUDY SELECTION: We identified interventions designed to increase HPV vaccine uptake among adolescents and young adults aged 11 to 26 years. All study designs were acceptable. Only articles that included postintervention vaccination rates were included. DATA EXTRACTION: Two authors independently reviewed each article for data extraction and quality assessment. Interventions were classified according to the Community Preventive Service Task Force guide. RESULTS: Results were reported according to the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework. Fifty-one articles met eligibility criteria: 2 informational interventions, 18 behavioral interventions, and 31 environmental interventions. Factors associated with HPV vaccine uptake were increased vaccine availability, decreased financial barriers, and interventions targeting both providers and patients. LIMITATIONS: Lack of consistent RE-AIM metric reporting, limiting our ability to assess intervention validity and quality. CONCLUSIONS: Population-based vaccination strategies that increased vaccine availability reached the greatest number of adolescents and were most successful in achieving high rates of vaccination.
Inefficiency of stochastic gradient descent with larger mini-batches (and more learners)

Stochastic Gradient Descent (SGD) and its variants are the most important optimization algorithms used in large scale machine learning. Mini-batch version of stochastic gradient is often used in practice for taking advantage of hardware parallelism. In this work, we analyze the effect of mini-batch size over SGD convergence for the case of general non-convex objective functions. Building on the past analyses, we justify mathematically that there can often be a large difference between the convergence guarantees provided by small and large mini-batches (given each instance processes equal number of training samples), while providing experimental evidence for the same. Going further to distributed settings, we show that an analogous effect holds with popular Asynchronous Gradient Descent (\asgd): there can be a large difference between convergence guarantees with increasing number of learners given that the cumulative number of training samples processed remains the same. Thus there is an inherent (and similar) inefficiency introduced in the convergence behavior when we attempt to take advantage of parallelism, either by increasing mini-batch size or by increase the number of learners.
Considerations about the influence of colloidal solutions on human energy informational field. Part II: Testing with GDV Compact Camera

The study conducted on a lot of 3 people aimed to highlight the effects upon the human body of a dose of electro colloidal silver (ECS) within more than 5 hours after ingestion by repeated measurements with a GDV (Gas Discharge Visualization) Camera. The results were processed and rendered graphically to allow verify the empirical hypotheses about these effects and draw some preliminary conclusions. The GDV method is non-invasive, as it consists of electromagnetic field stimulation and the photography of electro photonic brightness produced by stimulation around the 10 fingers, followed by the processing with dedicated software. This human energy field reacts much faster to stimuli than the physical body, i.e. physical stimuli acting upon the body are reflected more quickly in ideal condition bio-energo-informational field research by using the GDV. The study was an attempt to demonstrate that colloidal silver is more than a mere antiseptic solution.
Exploiting Repetitive Patterns for Fast Succinct Map Matching

Map matching is a critical problem of robotic mapping and localization applications which has attracted broad interests in robot vision community. Despite its accuracy and efficiency, the popular RANSAC-based algorithm suffers from large memory requirements, which is proportional to number and size of the maps. In this paper, our goal is to realize fast succinct map matching by introducing a compact and discriminative approach for part-based scene modeling. The main difficulty is that part modeling of environment maps is a novel task and there is no accepted definition available in literature. To overcome this limitation, we exploit the fact that typical environments (e.g. indoor, street, forests, suburban, etc) contain highly repetitive patterns, and take the approach of repetitiveness-based scene compression. Our method has two key steps. First, our method mines a small number of large common patterns that well explain an input scene from a known reference map, by introducing an efficient common pattern discovery (CPD) using integral images. Second, we represent parts by using traditional bounding box (BB)-based object annotation technique. Since BB is a far lower dimensional representation compared with the original map data and matching between BBs can be fast using a simple box intersection operation, both compactness and efficiency are achieved.
Schmitt Trigger based on Dual Output Current Controlled Current Conveyor in 16nm CMOS technology for digital applications

This paper presents a current mode Schmitt Trigger based on Dual Output Current Controlled Current Conveyor (DOCCCII). To overcome the frequency limitation and enable low voltage low power operation (LVLP) current mode circuits are generally preferred. They offer higher bandwidth, improved slew rate and better (LVLP) performance compared to their voltage mode counterparts. So for the design we have selected second generation current controlled current conveyor which is regarded as the universal current mode active building block. The circuit topology is very simple, its construction consists of a single DOCCCII and an inverter implemented in 16 nm bulk CMOS technology model parameters obtained from Predictive Technology Model (PTM) together with two resistors. The circuit is suitable for integration, it uses the supply voltage of ±0.8V and a bias current of 10μA. The performance of the proposed circuit is examined using H-Spice where the circuit exhibited the power dissipation of 57. 78μW. The circuit performance is in agreement with the theoretical explanation. The noise removing capability of the circuit is presented here as an application.
Analysis and compensation of the error in initial rotor position of IPMSM estimated with HF signal injection

High frequency (HF) signal injection scheme is widely used to estimate the initial rotor position of Interior Permanent Magnet Synchronous Motors (IPMSM). The accuracy of the estimated rotor position, however, may be degraded by the phase delay caused by pulse width modulation (PWM), digital filters in signal demodulation process, non- ideality of inverter, and so on. To solve this problem, the main factors contributing to the estimation error are analyzed, and a unified compensation algorithm is proposed. In the analysis, an interesting phenomenon is exposed, i.e. the resultant phase shifts in the positive- and negative-sequence HF currents are the same in magnitude. In the algorithm, the phase shift in the positive- sequence HF currents is extracted and used to compensate error in the estimated rotor position, improving the accuracy of estimation. The effectiveness of this proposed error compensation algorithm is confirmed through simulation and experiments.