Miracle-dz/UniFAR-FTUs huggingface dataset:
Dementia Patient’s Meal Monitoring Systems Using Weight and Temperature Sensors

This paper presents a couple of meal monitoring systems for senile dementia patients by using electronic weight and temperature sensors. These monitoring systems enable to convey the information of the amount of meal taken by the patients in real-time via wireless communication networks onto the mobile phones of their families or nurses in charge. Thereby, the nurses can easily spot the most desperate patient to take care of while the families can have relief to see the crucial information for survival of their parents at least three times a day. Meanwhile, the senile dementia patients tend to suffer the burn of their tongues because they can hardly recognize the temperature of hot meals served and therefore avoid the burn of tongues. This phenomenon can be discarded by utilizing the meal temperature monitoring system which displays alarm to the patients when the meal temperature is above the reference. These meal monitoring systems can be easily implemented by utilizing low-cost sensor chips and Arduino UNO boards so that elder-care hospitals and nursing homes can afford to exploit them with no additional cost. Hence, we believe that the proposed monitoring systems would be a potential solution to provide a great help and relief not only for the professional nursing nurses working in elder-care hospitals and nursing homes, but also for the families of the dementia patients.
EXCITATION OF A PULSE ELECTROMECHANICAL CONVERTER OF ELECTRODYNAMIC TYPE FROM A TWO-SECTION CAPACITOR ENERGY STORAGE

A mathematical model of a pulsed electromechanical converter (PEC) of electrodynamic type has been developed, in which the solutions of the equations are presented in a recurrent form, which, when numerically implemented, allows taking into account the interrelated electrical, magnetic, mechanical and thermal processes and their nonlinear parameters. While maintaining the total energy of the pulsed source, the influence of the distribution of energy between the two sections of the capacitive energy storage (CES) and the voltage at which the additional section of the CES is connected was established. When operating in an accelerating mode, the largest amplitude of electrodynamic forces (EDF) and maximum speed occur in the basic version of the PEC, which is excited only from the main section of the CES, and the most effective is the PEC with the smallest capacity of the main section of the CES, and its maximum value is 2.61 higher than for the basic version of the PEC. When operating in the shock-power mode, compared with the basic version of the PEC, the amplitude of the EDF decreases. The most effective is the PEC with the smallest capacity of the main section of the CES, and its maximum value is 5.17 higher than that of the basic version of the PEC. Experimental studies of the PEC in the shock-power mode established that the oscillograms of the voltage of the CES and the current of the PEC correspond to the calculated characteristics, and their main indicators are consistent with each other with an accuracy of 5-7%. References 16, figures 6.
Combined Framework with Heuristic Programming and Rule-Based Strategies for Scheduling and Real Time Operation in Electric Vehicle Charging Stations

This paper proposes a flexible framework for scheduling and real time operation of electric vehicle charging stations (EVCS). The methodology applies a multi-objective evolutionary particle swarm optimization algorithm (EPSO) for electric vehicles (EVs) scheduling based on a day-ahead scenario. Then, real time operation is managed based on a rule-based (RB) approach. Two types of consumer were considered: EV owners with a day-ahead request for charging (scheduled consumers, SCh) and non-scheduling users (NSCh). EPSO has two main objectives: cost reduction and reduce overloading for high demand in grid. The EVCS has support by photovoltaic generation (PV), battery energy storage systems (BESS), and the distribution grid. The method allows the selection between three types of charging, distributing it according to EV demand. The model estimates SC remaining state of charge (SoC) for arriving to EVCS and then adjusts the actual difference by the RB. The results showed a profit for EVCS by the proposed technique. The proposed EPSO and RB have a fast solution to the problem that allows practical implementation.
Bose-Einstein Kondensation in einer magnetischen Z-Falle

Ein Bose-Einstein Kondensat mit Rubidium-87-Atomen im Zustand |F=2,mF=2> wird in einer "Z"-formigen magnetischen Drahtfalle erzeugt. Die Falle ist eine einfachere und robuste Variante einer Ioffe-Pritchard Falle. Die Drahtfalle ermoglicht die magnetische Speicherung und Kompression von Atomwolken in direkter Nahe einer Oberflache. Bei einer kritischen Temperatur von etwa 900 nK tritt die Kond4ensation der Rubidiumatome in den Grundzustand der Falle ein. Es konnen Kondensate mit bis zu 300000 Atomen erzeugt werden. Im Rahmen dieser Arbeit wurde eine Doppel-MOT Vakuumapparatur aufgebaut, welche eine hohe Anzahl von Atomen mit langen Speicherzeiten in der Magnetfalle ermoglicht. Die Drahtfalle ist in kompakter Weise mit weiteren von planen Leiterstrukturen erzeugten Mikrofallen kombiniert. Dieses erlaubt eine extreme Flexibilitat im Design von Drahtmagnetfallen. Das Kondensat wird als koharente Atomquelle in nun folgenden Experimenten in oberflachenbasierten magnetischen Mikrofallen neue Moglichkeiten in der komplexen Manipulation von Atomen erschliesen.
A regression approach to zebra crossing detection based on convolutional neural networks

Renjie Hu, School of Electrical Engineering, Southeast University, Nanjing, 210096, China. Email: hurenjie@seu.edu. cn Abstract Zebra crossing detection is a fundamental function of the electronic travel aid. It can locate the zebra crossing and estimate its direction to help the visually impaired to cross the road safely. In contrast to the conventional methods, a regression approach is adopted to detect zebra crossing based on convolutional neural networks. Specifically, a fixed‐size window slides across the image captured at the intersection. The image patches are sequentially fed to the logistic regression model to identify the zebra crossing. Then the image patch of zebra crossing is fed to the regressionmodel to predict the direction. The parameters ofmodels are optimized by the backpropagation algorithm before predictions. Compared with existing methods, the proposed method can improve the precision‐recall performance of the zebra crossing identification and reduce the root mean square error of predicted directions.
A Framework for Multi-Sensor Data fusion in the Context of IoT Smart City Parking Data

Now a day, things are communicating using the Internet, In the context of a smart city all things are interconnected and they are transferring the data to each other. Smart city subapplications like parking, pollution, traffic, transportation are some examples. By using the internet, we can combine with communication, the big challenge in a multi-sensory environment to fetch meaning full data from sensors. There are many of the methods are used to analyse and mine IoT data like classification, clustering, association rule, and regression, etc. The data is collected on the Internet of Things (IoT) from heterogeneous sources in different formats. Data Fusion is a method to operate on fused data that are collected from different sources. In the case of IoT, the concept of distributed data fusion work well. One of the popular IoT applications is Smart City, where we can collect data and analysis them according to need. In this research paper, the researcher introduced the new framework of data fusion where the data is collected from a different type of smart city sub-application. and framework deployment is done by parking data set of smart cities.
Force Field Feature Extraction Using Fast Algorithm for Face Recognition Performance

Face recognition is method of recognizing individuals by facial expressions. It has become essential for security and surveillance applications, including banks, organisations, workplaces, and social areas, and is needed everywhere. In face recognition, there are a variety of difficulties faced, including face shape, age, sex, lighting, and other variable factors. Another problem is that the scale of the servers for these apps is relatively limited. Education and acknowledgment, thus, are increasingly complicated. In recent years, many unchanged features have been proposed in the literature, in this paper approach the use of the fast algorithm as local descriptors, and as we shall see, it is not only fixed-size features, but also offers the advantage of being highly efficient. The proposed approach allows distinguishing the destination after converting the image to the HSV system, after which the force field features will be extracted using the fast algorithm and then classification by using the distance for three methods (Manhattan, Euclidean, and Cosine) through which a comparison is made to choose the best resolution, as it was found that the resulting accuracy of the two dataset (ORL and UFI) is 99.9%.
Averaging Principle for Backward Stochastic Differential Equations

The averaging principle for BSDEs and one-barrier RBSDEs, with Lipschitz coefficients, is investigated. An averaged BSDEs for the original BSDEs is proposed, as well as the one-barrier RBSDEs, and their solutions are quantitatively compared. Under some appropriate assumptions, the solutions to original systems can be approximated by the solutions to averaged stochastic systems in the sense of mean square.
Red and white clover provide food resources for honeybees and wild bees in urban environments

Trifolium inflorescences in each plot), but independent of the surrounding landscape context (i.e. percentage of green area). We conclude that the establishment and maintenance even of small patches of different common wildflowers help maintain a diverse bee community in urban environments. Particularly large-flowered species may be important for supporting long-tongued, late emerging pollinators such as certain bumblebee species.
60 GHz Broadband LTCC Antenna for 5G Mobile Communication Systems

Received: 8 August 2020 Accepted: 25 December 2020 This paper provides a numerical investigation in designing wideband circularly polarized 60 GHz antenna using Low-Temperature Co-fired Ceramic technology (LTCC). The LTCC provides high-density multilayer integration, low dielectric loss, and low costs. The use of LTCC technology is advantageous for easy and flexible 3D integration and freer vias distribution in the substrate. The designed antenna focuses on obtaining a better tradeoff in terms of size, gain, circular polarization (CP), and large bandwidth. The circular polarization was chosen in order to minimize the transmission errors caused by polarization inconsistency between the transmitter and the receiver. The antenna geometry is developed taking into consideration the design rules of the LTCC with a layer thickness of 100 μm after firing and a metal layer thickness of 9 μm. A bandwidth of more than 33% centered at 60 GHz was obtained for this designed multilayer antenna. The results are obtained by using the High-Frequency Structure Simulator (HFSS). The proposed integrated antenna can be used in future 5G wireless communication systems and other 60 GHz spectrum applications.
Mapping dry deposition of acidifying components and base cations on a small scale in Germany

Resultaten worden gepresenteerd van het onderzoek 'Kartering van droge depositie van verzurende componenten en basische kationen in Duitsland met een hoge ruimtelijke resolutie'. Met deze kaarten kunnen overschrijdingen van 'critical loads' meer gedetailleerd worden bepaald dan wanneer gebruik wordt gemaakt van regionale depositieschattingen (bijvoorbeeld gegenereerd door het EMEP model). De droge depositie-velden, welke voor 1989 en 1993 berekend zijn met het EDACS model (European Deposition of Acidifying Components on a Small scale), weerspiegelen het ruimtelijk gedetailleerde patroon uit de landgebruikskaart, alsmede het regionale concentratie- en klimaatspatroon in Duitsland. De droge depositie van potentieel zuur (SOx+NOy+NHx) was het hoogst in Oost-Duitsland en het laagst in Zuid-Duitsland. De droge depositie van zeezout gecorrigeerd Mg2+ plus Ca2+ plus K+ was het hoogst in Oost en Zuid-Oost Duitsland en het laagst in Noord-West Duitsland. De droge depositie op bossen was hoger dan de gemiddelde depositie op Duitsland: ca. 40% voor de verzurende componenten en 25% voor de basische kationen. De relatieve bijdrage van SOx, NOy en NHx aan de droge depositie van potentieel zuur bedroeg respectievelijk ca. 75%, 15% and 10%, zowel voor Duitsland gemiddeld als voor bossen. De droge depositie van SOx, NOy, NHx en potentieel zuur was in 1989 hoger dan in 1993: respectievelijk 24%, 16%, 12% and 22%. Het percentage van de totale (nat+droog) potentieel zure depositie dat wordt geneutraliseerd door depositie van zeezout gecorrigeerd Mg2+ plus Ca2+ plus K+ was het grootst (ca. 20-30%) in Noord-Oost en Zuid-Duitsland. De EDACS modelresultaten zijn vergeleken met doorvalfluxen. Gezien de relatief grote onzekerheid in zowel de model- als de doorvalschattingen kwamen beide redelijk overeen. Gemiddeld verschilden de schattingen niet significant.
Promoting physical activity through text messages: the impact of attitude and goal priority messages

ABSTRACT Introduction Many young adults demonstrate insufficient rates of physical activity (PA) to yield health benefits. The study tested the effectiveness of a text messaging intervention targeting key psychological determinants and PA. Methods Participants received either attitude messages, goal priority messages, a combination of these, or generic PA information (control). After confirming that groups were matched at baseline, a 2 (attitude: yes vs. no) by 2 (goal priority: yes vs. no) by 2 (time: immediately post-intervention, four weeks post-intervention) randomized control trial tested main and interactive effects. Results Results showed participants that received attitude messages had significantly more positive attitudes, intentions and rates of PA. Mediational analyses showed the influence of attitude messages on PA to be fully mediated through the serial path via attitude and intention. There were no other main or interactive effects. Conclusion The study provides support for using attitudinal messages delivered via text messaging to influence key psychological determinants and PA.
Social Norms Based Eco-Feedback for Household Water Consumption

Physical water scarcity is a growing threat to people’s lives around the world. Non-pecuniary interventions that encourage water conservation amongst households are an effective tool to promote sustainable consumption. In a randomised field experiment on 3461 UK households, a social norms based eco-feedback intervention was found to reduce water consumption by around 5.43 L a day or by 1.8% over 29 months. This effect did not persist for the 10 months after the intervention was stopped suggesting a lack of habit formation. Unlike previous studies, households with low consumption at baseline reduced their consumption the most, while high consumers did not. Heterogeneity was also found across quantile treatment effects, where households in the top and bottom quantiles increased their consumption. These results further contribute to the growing evidence on the effectiveness of combining social norms and eco-feedback as an intervention for conservation.
Gender Differences in the Impact of Adolescent Maltreatment Victimization on Subsequent Sexual Intimate Partner Violence Perpetration

ABSTRACT Prior research has determined that individuals with a history of maltreatment victimization during adolescence (i.e., neglect, emotional, physical, or sexual abuse prior to the age of 18) are more likely to perpetrate intimate partner violence (IPV) against their partners later on in the life-course. The vast majority of this understanding, however, focuses on male perpetration against female victims, relies on clinical or offender data that is not widely generalizable, and does not specifically focus on sexual IPV. As such, there is little known about the impact of adolescent maltreatment victimization on later sexual IPV perpetration among women or how this might vary according to gender. In order to bridge these gaps in the literature, the current study examined how maltreatment victimization during adolescence influenced later sexual IPV perpetration, both in general and then separately according to gender, using nationally representative data from the public sample of the National Longitudinal Study of Adolescent to Adult Health (Add Health). Multivariate results indicated that adolescent maltreatment victimization increased one’s risk of perpetrating sexual IPV during adulthood, however this relationship was stronger for women than it was for men. The importance of these findings for future policy and research are discussed, particularly with regard to further gender-specific empirical study of sexual IPV perpetration and the development of gender-specific treatment initiatives aimed at reducing this type of offending.
Optimization of Cellulase-assisted Extraction and Antioxidant Activity of Polysaccharides from Taraxacum Mongolicum Hand.-Mazz.

Polysaccharides from Taraxacum mongolicum were extracted using cellulase-assisted extraction technology. Based on the results of single factor experiments, three independent variables extraction time, temperature and pH were selected for investigation. Response surface methodology (RSM) was used to optimize the extraction conditions. The optimal conditions were as follows: extraction time, 105.07 min; extraction temperature, 47.49°C; extraction pH, 4.81. Under such conditions, the yield of polysaccharides was 13.75% (w/w), and the yield obtained by cellulase-assisted extraction method was remarkably higher than the hot water extraction. In vitro assays, scavenging activity of 1, 1-Diphenyl-2-picrylhydrazxyl (DPPH) radical and superoxide anion radical showed that the polysaccharides from T. mongolicum had definite antioxidant activities, and polysaccharides extracted from different parts of T. mongolicum had different antioxidant activity, which shows: inflorescence > leaf > root. These results exhibit that cellulase-assisted extraction is an advisable method for T. mongolicum polysaccharides and polysaccharides could be explored as potential antioxidant to use in medicine or functional food.
When solidarity and misery meet in the shadow of a massacre: Moral values reflected in the novel �Human Acts�

The crisis that the world is in today has brought people together through the suffering they share. It leads to the presence of solidarity, which shows how people come hand in hand to help each other, showing that humanity exists even in difficult times. This paper seeks to analyze the portrayal of solidarity and suffering as part of the moral values of Han Kang's novel 'Human Acts,' which deals with the similar crisis that occurred in South Korea in 1980, known as the Gwangju Uprising. It applies descriptive qualitative research which concentrates directly and clearly on the aspects in the novel . It is learned that the characters in the novel convey the moral values most through the way in which they respect and care for one another and that the suffering shared between the characters is part of both their loss and their survival because of the solidarity they have built along the way. The moral values depicted in the novel ‘Human Acts’ are not merely fiction. It was realistically shown during the Gwangju Uprising and is now being shown in the current situation of the pandemic.
Genetic Variability Analysis of Terrestrial Spathoglottis plicata Orchid Variants Based on RAPD Marker

The purpose to know the genetic variability of orchid variants Spathoglottis plicata based on molecular marker Random Amplified Polymorphic DNA (RAPD). DNA isolation carried out using TIANGEN Plant Genomic DNA kit. DNA sample was amplified using PCR-RAPD technique. Genetic variability were analyzed using GenAlex 6.1 software to obtain the percentage of polymorphism, genetic distance and principal coordinates. Moreover, NTSYS Version 2.02 Unweighted Pair-Group Method using Arithmetic Average (UPGAMA) was used to create cluster dendrogram based on similarity indeces of S. plicata orchid variants. The result showed that DNA polymorphism of S. plicata orchid variants is 53,28%. Based on the Principal Coordinate Analysis (PCA), orchid variants S. plicata are spread in four quadrants in which the mutant variants on the opposite quadrant with wild type plants. Based on dendrogram, all orchid variants S. plicata are devided into 2 clusters of mutant plants which has a lower similarity index (<0,64) compared to wild type (>70) showing that mutant variants are potential to be new cultivars.
Experimental verification for improved phase‐disposition PWM of three‐phase five‐level diode‐clamped inverter

This paper focuses on the design and practical implementation of the effective and improved switching modulation and filter circuits for a three‐phase five‐level diode‐clamped inverter. The proposed switching modulation circuits illustrate the three‐phase control signals, carrier signals, and signals for drive circuits. The paper presents also an efficient control and drive circuits, which are used to operate the power switches (power MOSFETs). An improved analog dead‐band circuit is practically analyzed and implemented to minimize the overlapping periods of any two complement power switches and consequently reduce the noise/spikes caused by those overlapping periods. The proposed improved switching modulation circuit is verified by simulation results along with their analogous experimental results for the switching modulation, control circuits, and power circuits.
Current Methods for Mass Spectrometric Analysis of Intact Proteins and Peptides.

Mass spectrometry has had an interesting history as an analytical chemistry instrument. While MS is popularly associated with the chemical analysis of molecules, it was developed in the late 1800s by the physicist J. J. Thomson as a technique to measure the mass-to-charge ratio of the electron [1]. For the next 50 years, MS remained almost solely in the domain of physics as a technique to study atomic structure [2]. In the 1940s, however, MS was increasingly used in industry to quantitatively measure chemicals in mixtures. The next big step in MS was the recognition that specific fragmentation patterns of small organic molecules could be used to identify unknown molecules [3]. Proteins and other large macromolecules, however, could still not be analyzed using MS owing to the difficulty in getting these molecules into the gas phase. In 1988, however, electrospray and matrix-assisted laser desorption ionization were developed, enabling large biomolecules, especially proteins, to be routinely analyzed using MS [4, 5]. These revolutionary developments have led to an exponential use of MS as a biological analytical tool. Forty years ago, MS instrumentation was sparingly used; today, many large institutions have put major investments into facilities to meet the demand for protein analysis using MS.
Evaluation of efficiencies of biological propylene oxidation in the presence of metals

The effect of metal ions (iron, nickel, zinc) in concentration range (1÷60)×10−5 M on biological propylene oxidation by bacteria Methylococcus capsulatus (M) was evaluated. The influence of metal varied from activation to inhibition. It was found that at low concentrations (up to (1÷10) ×10−5 M) iron ions stimulate the biological propylene oxidation, while nickel and zinc ions have no that effect. When the metal concentration increases to 60×10−5 M, it leads to inhibition of propylene oxidation by both nickel and zinc ions, but the inhibition by iron was not observed. The minimum inhibitory concentrations for the studied metals were determined.