Miracle-dz/UniFAR-FTUs huggingface dataset:
Occupancy Sensing in Buildings through Social Media from Semantic Analysis

Building occupancy behavior is becoming increasingly important and playing a significant role in the modeling of building energy performance, intelligent operations of building systems, and design of the future building system. Image-based, threshold and mechanical, motion sensing, and radio-based sensing are commonly used for occupancy sensing in buildings. However, those sensing technologies suffer from high cost, inevitable sensor errors, and scalability issues. Thus, they are not widely implemented in buildings. With the vast development of information technologies in the era of the internet-of-things (IoT), occupant sensing and data acquisition are not limited to traditional approaches. Social media could provide new near-real-time data sources that might contain occupancy information in space and in time. Utilizing public APIs provided by social media services, it is possible to attain the geographic information through either geo-tagged posts from Twitter or Facebook check-in messages. These datasets explicitly indicate the occupant presence and could be used to estimate the occupancy. However, it is well known that most social media users probably are not willing to disclose their location information. To increase the volume of the social media datasets, this paper provides a methodology to detect the implicitly geo-tagged posts that hold valuable occupancy information through a text classification and semantic analysis. The implicitly geo-tagged posts refer to the posts that could be inferred for the human occupancy information, but the user does not add the location to the posts. In this framework, first, the data acquisition tool is utilized to obtain the Tweets containing the textual location information such as a museum, a restaurant, etc. Then, training and evaluation datasets are pre-selected respectively with labels regarding whether the posts contain relevant occupancy information. The Word2Vec, a word embedding algorithm, is used to convert the text to the vectors as the input to the classification model, alongside with some Tweet-content-based features. In addition, several popular classification machine learning techniques are adopted to train the model. The preliminary results show that the proposed methodology could detect the implicitly geo-tagged posts from social media with relatively high classification performance. We also presented a preliminary result of a typical occupancy schedule to be used by the building energy models based on social media data. Results from this preliminary study will lay the foundation of the occupancy sensing through the social media data mining, which aims to provide another data source for occupancy sensing in buildings.
DESIGN AND SIMULATION OF 3-PHASE 5- LEVELCURRENT SOURCE INVERTER FEEDS TOINDUCTION MOTORDRIVE USING INDUCTOR CELL AND H-BRIDGE TOPOLOGY

: The importance of multi-level inverter become a necessity that is used in industrial applications because it provides high energy in addition to it reduces the harmonics in the forms of AC wave.This paper includes the study of 3-phase 5- level which fed IM (IM) drive.The 5- level inverter is form of one H-bridge and one inductor cell and also increase number of levels in waveform output by increasing the number of inductor cells. Quality of low voltage and current in the traditional inverters that fed the IM as well as to the existence of harmonics so thereare significant loss of energy. Multi-level current source inverter (CSI) used to minimize the harmonics in output waveform.Simulation of 3-phase 5- level inverter fed IM drive is done by using Matlab/Simulink.
Madan, Christopher R. and Kensinger, Elizabeth A. (2017) Test–retest reliability of brain morphology

Metrics of brain morphology are increasingly being used to examine inter-individual differences, making it important to evaluate the reliability of these structural measures. Here we used two open-access datasets to assess the intersession reliability of three cortical measures (thickness, gyrification, and fractal dimensionality) and two subcortical measures (volume and fractal dimensionality). Reliability was generally good, particularly with the gyrification and fractal dimensionality measures. One dataset used a sequence previously optimized for brain morphology analyses and had particularly high reliability. Examining the reliability of morphological measures is critical before the measures can be validly used to investigate inter-individual differences.
Dietary Fish Oil Impairs Primary Host Resistance Against Listeria monocytogenes More than the Immunological Memory Response 1,2

The primary objective of this study was to determine whether dietary (n-3) polyunsaturated fatty acids (PUFA) impair the ability of mice to generate an immunological memory response against the bacterial pathogen, Listeria monocytogenes . Weanling BALB/c female mice were fed for 28 d one of two semipuriﬁed high fat diets containing either lard or reﬁned menhaden ﬁsh oil, rich in long-chain (n-3) PUFA. Mice were immunized with 10 4 or 10 3 colony forming units (cfu) bacteria. Thirty-ﬁve days later, these immune mice and age-matched naı¨ve (i.e., unimmunized) mice were challenged with 10 5 cfu bacteria. Three days postchallenge, bacterial clearance was determined. Compared with lard-fed mice, naı¨ve mice in the ﬁsh oil treatment group had higher bacterial loads in their liver and spleen ( P (cid:1) 0.001). When mice were immunized with 10 4 cfu bacteria before rechallenge with 10-fold more bacteria, both lard- and ﬁsh oil–fed mice had signiﬁcantly lower bacterial loads in their liver and spleen (e.g., (cid:2) 2 log 10 ; P (cid:1) 0.001) compared with their naı¨ve counterparts. However, when the immunization dose was reduced to 10 3 bacteria, a modest diet treatment effect was observed, such that compared with immune lard-fed mice, immune ﬁsh oil–fed mice had signiﬁcantly greater bacterial loads in their liver and spleen (i.e., (cid:2) 0.5 log 10 ; P (cid:1) 0.01). These data demonstrate for the ﬁrst time that although dietary (n-3) PUFA can signiﬁcantly impair host resistance to a primary as well as a secondary L. monocytogenes infection, the impairment of the immunological memory response is much less severe. J. Nutr. 133: 1163–1169, 2003.
Genomics update Genomes of model organisms: know thy tools

The list of recently completed microbial genome sequencing projects (Table 1) includes genomes of two unicellular eukaryotes, three archaea and a variety of bacteria, including an unusually diverse selection of the Firmicutes. The highlights of these sequencing efforts include complete genome sequences of several important model organisms, including the standard laboratory strain Escherichia coli DH10B, the model halophile Halobacterium salinarum strain R1, the marine cyanobacterium Synechococcus sp. PCC 7002 and the unicellular green alga Chlamydomonas reinhardtii .
Bacteriophage Lambda: a Paradigm Revisited (cid:1)

Bacteriophage lambda has an archetypal immunity system, which prevents the superinfection of its Esche- richia coli lysogens. It is now known that superinfection can occur with toxigenic lambda-like phages at a high frequency, and here we demonstrate that the superinfection of a lambda lysogen can lead to the acquisition of additional lambda genomes, which was conﬁrmed by Southern hybridization and quantitative PCR. As many as eight integration events were observed but at a very low frequency (6.4 (cid:1) 10 (cid:2) 4 ) and always as multiple insertions at the established primary integration site in E. coli . Sequence analysis of the complete immunity region demonstrated that these multiply infected lysogens were not immunity mutants. In conclusion, although lambda superinfection immunity can be confounded, it is a rare event. which,
Austin Alzheimer’s and Parkinson’s Disease Neurovascular Unit Dysfunction in Dementia: A Brief Summary

Cerebral microvasculature constitutes a blood-brain interface that mediates the delivery of oxygen and nutrients into the brain and eliminates toxic metabolites from it. A functional blood-brain interface requires a dynamic and precise coordination between the cerebral microvasculature and parenchymal cells, including neurons, an aspect governed by the Neurovascular Unit (NVU). The NVU, which is constituted by vascular and non vascular cells, couples neuronal activity to vascular function, controls brain homeostasis and shapes brain’s immune responses, thus consequently maintains an optimal brain microenvironment adequate for neuronal survival. Several new findings ignited interest in investigating the pathophysiology of the NVU in several brain disorders, namely dementia-related diseases such as Alzheimer’s disease (AD) and vascular dementia (VaD). Recent reports and hypotheses suggested a central role of NVU dysfunction as a key component involved, not only in worsening and aggravating the pathology of AD and VaD, but also as an early mediator in initiating the complex process of neurodegenerative cascades observed in these disorders. Therefore, understanding the molecular and cellular mechanisms involved in NVU dysfunction would constitute an extraordinary tool to get better insights into the pathobiology of AD and VaD, which would consequently lead to the development of novel therapeutic approaches. In this manuscript, I will be summarizing the implication of NVU injury in AD and VaD pathogenesis development. Moreover, I will be highlighting the contribution of cerebral microcirculation impairment in triggering NVU injury at the early stages of both diseases and outlining new therapeutic avenues that emphasis on NVU repair.
Continuum limit related to dispersion managed nonlinear Schr\"{o}dinger equations

We consider the dispersion managed nonlinear Schr\"odinger equation with power-law nonlinearity and its discrete version of equations with step size $h\in(0,1]$. We prove that the solutions of the discrete equations strongly converge in $L^2(\mathbb{R})$ to the solution of the dispersion managed NLS as $h\to 0$ after showing the global well-posedness of the discrete equations.
Create a Secure Communication Within Finding an Optimal Cover for Exchanging Information by Using Kendall's Tau Correlation

: Hiding data is one of the most important aspects that has been occurred from the early date of humanity. there are several different modern methods that have been created to hide data specially in mobile exchanging data applications. In this paper, it has been proposed a new technique for choosing an optimal cover depending on determining an optimal rank correlation which is well-known by Kendall-tau correlation. The producer of choosing the appropriate cover has two main steps. First of all, downloading n images and calculate their Kendall's tau before and after inserting the secret message. While the second step involves dividing each image to blocks and then finding the optimal Kendall's tau among them. Indeed, our attempt is to set a standard method of choosing the proper cover for secure information.
The Economics of Residential Solid Waste Management The Economics of Residential Solid Waste Management

This paper provides a broad overview of recent trends in solid waste and recycling, related public policy issues, and the economics literature devoted to these topics. Public attention to solid waste and recycling has increased dramatically over the past decade both in the United States and in Europe. In response, economists have developed models to help policy makers choose the efficient mix of policy levers to regulate solid waste and recycling activities. Economists have also employed different kinds of data to estimate the factors that contribute to the generation of residential solid waste and recycling and to estimate the effectiveness of many of the policy options employed.
Outdoor Semantic Segmentation for UGVs Based on CNN and Fully Connected CRFs

This paper studies semantic segmentation in outdoor scene based on multi-sensor fusion data by unmanned ground vehicle (UGV). Laser, camera, and inertial navigation are fused into RGB-DI (RGB, depth and intensity) point cloud. Because of the speed change of the UGV in outdoor scene, laser scanning points in 3D space are distributed irregularly and unbalanced. It is difficult to extract features in point cloud to describe objects accurately. Therefore, this paper proposes a projection algorithm to generate a 2D RGB-DI image from the 3D RGB-DI point cloud so that the semantic segmentation in RGB-DI cloud points is transformed to the semantic segmentation in RGB-DI images. To adequately describe multiple objects in the RGB-DI images, a convolutional neural network (CNN) model is designed to extract abstract features. Since the fully connected CRF model takes into account the context of each object location in an RGB-DI image, the fully connected CRF model is used as a classifier to complete the semantic segmentation in the RGB-DI image. According to the corresponding relation between each point in the 3D point cloud and each pixel in the RGB-DI image, segmentation results in the RGB-DI image are mapped back to the original point clouds. Different datasets are used to evaluate our algorithms. Moreover, real-world experiments were applied to our UGV platform to show the practicability and validity of the proposed approach.
by MRI Imaging in a Rabbit Model of

The detection of atherosclerotic plaques at risk for disruption will be greatly enhanced by molecular probes that target vessel wall biomarkers. Here, we test if fluorescently-labeled Activatable Cell Penetrating Peptides (ACPPs) could differentiate stable plaques from vulnerable plaques that disrupt, forming a luminal thrombus. Additionally, we test the efficacy of a combined ACPP and MRI technique for identifying plaques at high risk of rupture. with and co-registered in the same rabbit aorta the in vivo uptake of ACPPs, cleaved by matrix metalloproteinases (MMPs) or thrombin. ACPP uptake, mapped ex vivo in whole aortas, was higher in disrupted compared to non-disrupted plaques. Specifically, disrupted plaques demonstrated a 4.5~5.0 fold increase in fluorescence enhancement, while non-disrupted plaques showed only a 2.2~2.5 fold signal increase. Receiver operating characteristic (ROC) analysis indicates that both ACPPs (MMP and thrombin) show high specificity predictors for disruption and ACPP uptake can further improve the power for identification of high-risk plaques and suggests future development of ACPPs with molecular MRI as a readout.
CALL FOR PAPERS Integrative Aspects of Renal Endocrinology Central angiotensin II has catabolic action at white and brown adipose tissue

Central angiotensin II has catabolic action at white and brown adipose tissue. Am Physiol Endo- crinol evidence im-plicates the renin-angiotensin system (RAS) in the regulation of energy balance. To evaluate the role of the RAS in the central nervous system regulation of energy balance, we used osmotic minipumps to chronically administer angiotensin II (Ang II; icv; 0.7 ng/min for 24 days) to adult male Long-Evans rats, resulting in reduced food intake, body weight gain, and adiposity. The decrease in body weight and adiposity occurred relative to both ad libitum- and pair-fed controls, implying that reduced food intake in and of itself does not underlie all of these effects. Consistent with this, rats administered Ang II had increased whole body heat production and oxygen consumption. Additionally, chronic icv Ang II increased uncoupling protein-1 and (cid:1) 3 -adrenergic receptor expression in brown adipose tissue and (cid:1) 3-adrenergic receptor expression in white adipose tissue, which is suggestive of enhanced sympathetic activation and thermogenesis. Chronic icv Ang II also increased hypothalamic agouti-related peptide and decreased hypothalamic proopiomelanocortin expression, consistent with a state of energy deﬁcit. Moreover, chronic icv Ang II increased the anorectic corticotrophin- and thyroid-releasing hormones within the hypothalamus. These results suggest that Ang II acts in the brain to promote negative energy balance and that contributing mechanisms include an alteration in the hypothalamic circuits regulating energy balance, a decrease in food intake, an increase in energy expenditure, and an increase in sympathetic activation of brown and white adipose tissue.
Quantum enhanced metrology of Hamiltonian parameters beyond the Cram (cid:1) e r { Rao bound

This is a tutorial aimed at illustrating some recent developments in quantum parameter esti- mation beyond the Cram (cid:1)e r{Rao bound, as well as their applications in quantum metrology. Our starting point is the observation that there are situations in classical and quantum metrology where the unknown parameter of interest, besides determining the state of the probe, is also in°uencing the operation of the measuring devices, e.g. the range of possible outcomes. In those cases, nonregular statistical models may appear, for which the Cram (cid:1)e r{Rao theorem does not hold. In turn, the achievable precision may exceed the Cram (cid:1)e r{Rao bound, opening new avenues for enhanced metrology. We focus on quantum estimation of Hamiltonian parameters and show that an achievable bound to precision (beyond the Cram (cid:1)e r{Rao) may be obtained in a closed form for the class of so-called controlled energy measurements. Examples of applications of the new bound to various estimation problems in quantum metrology are worked out in some details.
ELLIPTICAL SLOT CIRCULAR PATCH ANTENNA ARRAY WITH DUAL BAND BEHAVIOUR FOR FUTURE 5G MOBILE COMMUNICATION NETWORKS

—This paper presents a dual band circular microstrip patch antenna with an elliptical slot for future 5G mobile communication networks. The antenna has resonating frequencies of 28 GHz and 45 GHz, with bandwidths of 1.3 GHz and 1 GHz, respectively. Eﬃciency of the antenna is 85.6% at 28 GHz and 95.3% at 45 GHz. The return loss at 28 GHz is − 40 dB, with maximum gain of 7.6 dB while at 45 GHz return loss is − 14 dB with maximum gain of 7.21 dB. The antenna is designed on a Rogers RT5880 (lossy) substrate with dielectric constant of 2.2 and loss tangent (tan δ ) of 0.0013. The antenna has a compact size of 6 × 6 × 0 . 578 mm 3 . Array conﬁguration is used to achieve 12 dB gain, required for mobile communication. The proposed array has resonance frequencies of 28 GHz, 34 GHz and 45 GHz with maximum gain of 13.5 dB and radiation eﬃciency of 98.75%. Centre series fed technique is used for the excitation of array. SAR value of array antenna obtained at 28 GHz is 1.19 W/kg, at 34 GHz is 1.16 W/kg, and at 45 GHz is 1.2 W/kg. CST Microwave Studio, a 3D simulating tool, is used for the antenna design and calculation of the antenna parameters along with the SAR analysis.
Root K a nity drivers and photosynthetic characteristics in response to low potassium stress in K high-e ciency vegetable soybean

Changkai Liu (  lck41@qq.com ) Northeast Institute of Geography and Agroecology Chinese Academy of Sciences https://orcid.org/0000-0001-8455-2897 Xue Wang Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Bingjie Tu Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Yansheng Li Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Heng Chen Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Qiuying Zhang Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Xiaobing Liu Northeast Institute of Geography and Agroecology Chinese Academy of Sciences
Mobile Personalized Notes Using Memory Package

: Smart phones and their mobile application have been deeply affected people life in the modern society. We can find many kinds of mobile applications, either in Google Play or Apple Store, designed according to novel motivations to assist us in improving people life. This paper aims to develop a personalized note tool on smart phones to integrate different types of multimedia information to help the users record activities. In this paper we propose a structure called memory package for integrating multimedia information on smart phones. Users can create a memory package in a time period to record their activities by using multimedia contents such as text, image, video, audio, and GPS records. Our system designs a unified interface for the memory package that can help users easily generate and review their packages on phones. Users can preserve clips of user activities of life anytime and anywhere using the proposed system of personalized notes as well as the memory package.
Title: Manually-controlled Instrumented Spasticity Assessments: a systematic review

7 a. Clinical Motion Analysis Laboratory, University Hospital Leuven, Belgium 8 b. KU Leuven Department of Rehabilitation Sciences, Leuven, Belgium 9 c. KU Leuven Department of Mechanical Engineering, Leuven, Belgium 10 d. KU Leuven Department of Development and Regeneration, Leuven, Belgium 11 e. Department of Orthopedics, University Hospital Leuven, Belgium 12 f. Department of Neurology, University Children’s Hospital Queen Fabiola, 13 Université Libre de Bruxelles, Brussels, Belgium 14
Bridge-arm current reduction in DC-AC inverter

ABSTRACT When building single-phase inverter with power Metal-Oxide-Semiconductor Field-Effect Transistor (MOSFET), switching action may cause poor reverse recovery characteristic due to body parasitic diode of MOSFET, which can produce peak current in the circuit loop and the high transient voltage and current (dv/dt, di/dt) during the turning-on period. In this article, a novel method to reduce the bridge arm current spike in DC-AC inverter is proposed. The presented method uses the improved and simplified coupled inductor which is connected between the upper and lower power devices. The parasitic capacitors of MOSFET are charged and discharged by the coupled inductor and the energy is released in the new loop; therefore, the bridge peak current is diminished. The time-domain model of transient-state analyses is given in detail. The current spike of the main switch is clamped efficiently. By increasing switching frequency, the volume of the magnetic core can be further reduced which is resulted from reduction in the reverse recovery current in parasitic diode. Because of the suppression of the spike current via the device, the switch-on loss of the power loss is reduced, and low on-state resistor of the power device can be adopted to suppress the conduction loss. The proposed approaches are validated with experimental results.