Miracle-dz/UniFAR-FTUs huggingface dataset:
Multiple engagement: the relationship between informal care-giving and formal volunteering among Europe's 50+ population

The article investigates the conditions of multiple engagement in the private and public realm in the second half of life. More specifically, I look at the relationship between informal care-giving and formal volunteering in a country-comparative way. Based on longitudinal data from the Survey of Health, Ageing and Retirement, 2004–2015, I investigate the 50+ population in 13 European countries. Controlling for unobserved heterogeneity by using conditional fixed-effect logistic regression models, I confirm earlier findings that care-givers are more likely to volunteer than non-care-givers; this effect is independent of care-giving intensity but only true for those who care outside their own household. As to macro-level influences, I find that both care-in-kind and cash-for-care expenditures increase the likelihood of volunteering among the 50+ population. The effect of cash-for-care expenditure is even stronger for the group of those who give intensive care outside their own households than for non-care-givers. Moreover, I find effects related to family's and women's role in society. First, I show a negative effect of a country's societal norm of family orientation on volunteering participation for those giving sporadic care outside their household but also among non-care-givers. Second, in countries with higher female labour market participation among the middle-aged, the volunteering likelihood is higher for sporadic female care-givers outside their own household but also among female non-care-givers.
Trends and prediction in daily incidence of novel coronavirus infection in China, Hubei Province and Wuhan City: an application of Farr law

Background: The recent outbreak of novel coronavirus (2019-nCoV) has infected tens of thousands of patients in China. Studies have forecasted future trends of the incidence of 2019-nCoV infection, but appeared unsuccessful. Farr law is a classic epidemiology theory/practice for predicting epidemics. Therefore, we used and validated a model based on Farr law to predict the daily-incidence of 2019-nCoV infection in China and 2 regions of high-incidence. Methods: We extracted the 2019-nCoV incidence data of China, Hubei Province and Wuhan City from websites of the Chinese and Hubei health commissions. A model based on Farr law was developed using the data available on Feb. 8, 2020, and used to predict daily-incidence of 2019-nCoV infection in China, Hubei Province and Wuhan City afterward. Results: We observed 50,995 (37001 on or before Feb. 8) incident cases in China from January 16 to February 15, 2020. The daily-incidence has peaked in China, Hubei Providence and Wuhan City, but with different downward slopes. If no major changes occur, our model shows that the daily-incidence of 2019-nCoV will drop to single-digit by February 25 for China and Hubei Province, but by March 8 for Wuhan city. However, predicted 75% confidence intervals of daily-incidence in all 3 regions of interest had an upward trend. The predicted trends overall match the prospectively-collected data, confirming usefulness of these models. Conclusions: This study shows the daily-incidence of 2019-nCoV in China, Hubei Province and Wuhan City has reached the peak and was decreasing. However, there is a possibility of upward trend.
Parenting in transition: refugee populations’ challenges in navigating parenting upon resettlement

ABSTRACT With the exception of the last three fiscal years, there has been a consistent influx of refugees being resettled to the U.S. during the last 20 years from Somalia, the Democratic Republic of Congo, and Bhutan. Although there is existing literature examining the obstacles that recently resettled refugee families face, the ways in which these obstacles influence parenting has not been widely studied. For organizations to best serve these populations, a solid understanding of newly resettled refugee parents’ experiences and opportunities for support is crucial. The purpose of this current study was to determine the needs of newly resettled refugee parents, specifically from Somalia, the Democratic Republic of Congo, and Bhutan, and the obstacles that influence their parenting in a Mid-Atlantic region of the U.S.
A Student Based Biometric Application

The latest developments in technology especially in the field of computer science provided a new scope for IOT (internet of things). IOT makes use of sensors and the internet it is a combination of hardware and software functioning together. The identification of a person is becoming importance day to day due to various reasons. Some reasons may be security reasons while some others reason may be to identify the persons easily rather than asking them individually which a time taking process. Hence, more importance was been giving to make the identification of a person more automatic and the process can be made more easy. The important factors to be considered for identifying a person are the facial expressions or structures, biometric and the iris of a person. Hence, in the current article an attempt has been made to automate the attendance system automatic by collecting the fingerprints of the students and the attendance of students are made automatic. This application was being developed with the IoT model and the results are more encouraging.
Drying Kinetics, Grinding Characteristics, and Physicochemical Properties of Broccoli Sprouts

In this study, we studied the drying process, grinding characteristics and physicochemical characteristics of broccoli sprouts (BS). The seeds of broccoli were germinated at 20 °C for 3 and 6 days. Then, the seeds were air- and freeze-dried, and the Page model was used for prediction of drying kinetics of broccoli sprouts. It was observed that the drying time of BS decreased about twofold as the air-drying temperature increased from 40 to 80 °C. An increasing the air-drying temperature from 40 to 80 °C decreased the drying time by approximately twofold. Freeze-drying of sprouts took the longest drying time. Germination of seeds significantly decreased the value of grinding energy requirements, and the ground sprouts exhibited a different grinding pattern in comparison to ground non-germinated seeds. In terms of color parameters, the highest lightness and yellowness were found for freeze-dried sprouts. Redness and yellowness of sprouts increased with an increase in the air-drying temperature. The lowest total color difference was obtained for the freeze-dried sprouts. Higher drying temperature resulted in lower total phenolics content (TPC) and decreased antioxidant activity (AA). The highest TPC and AA were observed in air-dried sprouts (40 °C) and freeze-dried sprouts after 6 days of germination.
Novel Transformerless Buck–Boost Inverters Without Leakage Current

This article presents novel transformerless single-stage buck-boost inverters with reactive power flow capability. The common-mode voltage of the proposed inverters is constant, which results in negligible leakage current. The output current of the proposed inverters is continuous that lowers the output harmonics and size of the output filtering capacitor. In the proposed inverters, only two switches receive high-frequency switching signals at a time, which reduces the power loss. The proposed topologies can achieve efficient power conversion with a wide input voltage range. A 120-Vrms/60-Hz output voltage, 74–200-V input voltage, and 500-W output power hardware prototype of the proposed inverter is built and tested with resistive, partially inductive, and partially capacitive loads. A peak efficiency of 97.3% is obtained.
Power Load Demand Forecasting Model and Method Based on Multi-Energy Coupling

At the present stage, China’s energy development has the following characteristics: continuous development of new energy technology, continuous expansion of comprehensive energy system scale, and wide application of multi-energy coupling technology. Under the new situation, the accurate prediction of power load is the key to alleviate the problem that the planning and dispatching of the current power system is more complex and more demanding than the traditional power system. Therefore, firstly, this paper designs the calculation method of the power load demand of the grid under the multi-energy coupling mode, aiming at the important role of the grid in the power dispatching in the comprehensive energy system. This load calculation method for regional power grid operating load forecasting is proposed for the first time, which takes the total regional load demand and multi-energy coupling into consideration. Then, according to the participants and typical models in the multi-energy coupling mode, the key factors affecting the load in the multi-energy coupling mode are analyzed. At this stage, we fully consider the supply side resources and the demand side resources, innovatively extract the energy system structure characteristics under the condition of multi-energy coupling technology, and design a key factor index system for this mode. Finally, a least squares support vector machine optimized by the minimal redundancy maximal relevance model and the adaptive fireworks algorithm (mRMR-AFWA-LSSVM) is proposed, to carry out load forecasting for multi-energy coupling scenarios. Aiming at the complexity energy system analysis and prediction accuracy improvement of multi-energy coupling scenarios, this method applies minimal redundancy maximal relevance model to the selection of key factors in scenario analysis. It is also the first time that adaptive fireworks algorithm is applied to the optimization of adaptive fireworks algorithm, and the results show that the model optimization effect is good. In the case of A region quarterly load forecasting in southwest China, the average absolute percentage error of a least squares support vector machine optimized by the minimal redundancy maximal relevance model and the adaptive fireworks algorithm (mRMR-AFWA-LSSVM) is 2.08%, which means that this model has a high forecasting accuracy.
Estimation of compressive strength of high-strength concrete by random forest and M5P model tree approaches

High strength concrete (HSC) define as the concrete that meets a unique mixture of performance uniformity requirements that cannot be reached routinely using conventional constituents and regular mixing, placing, and curing events. The modeling of such type of concrete is very difficult. In this investigation, the performance of the random forest regression and M5P model tree were compared to estimate the 28th day compressive strength of the HSC. Total data set consists of 83 data out of which 70 % of the total dataset used to train the model and residual 30 % used to test the models. The accuracy of the models was depending upon the three performance evaluation parameters which are correlation coefficient (R), root mean square error (RMSE) and maximum absolute error (MAE). The results recommend that random forest regression is more accurate to predict the compressive strength as compare to M5P model tree. Sensitivity analysis indicates that water (W) and Silica fumes (SF) are the most valuable constituents of the HSC and compressive strength mainly depends on these constituents.
Identification of hemicatenane-specific binding proteins by fractionation of Hela nuclei extracts

DNA hemicatenanes (HCs) are DNA structures in which one strand of a double stranded helix passes through the two strands of another double stranded DNA. Frequently mentioned as DNA replication, recombination and repair intermediates, they have been proposed to participate in the spatial organization of chromosomes and in the regulation of gene expression. To explore potential roles of HCs in genome metabolism, proteins capable of binding specifically HCs were purified by fractionating nuclear extracts from Hela cells. This approach identified three RNA-binding proteins: the Tudor-Staphylococcal Nuclease Domain 1 (SND1) protein and two proteins from the Drosophila behavior human splicing family, the ParaSpeckle Protein Component 1 and the Splicing Factor Proline- and Glutamine- rich protein. Since these proteins were partially pure after fractionation, truncated forms of these proteins were expressed in E. coli and purified to near homogeneity. The specificity of their interaction with HCs was re-examined in vitro. The two truncated purified SND1 proteins exhibited a high specificity for HCs, suggesting a role of SND1 protein in targeting the basic transcription machinery to HC structures.
HOME SMART (HS) MENGGUNAKAN MIKROKONTROLER BERBASIS ESP8266 DAN IoT (INTERNET of THINGS)

IoT (Internet of Things) has become a separate field of research since the development of internet technology and other communication media, the more human needs are developing about technology, the more research that will be present, the internet of things is one of the thoughts of researchers who optimize several tools such as media sensors, radio frequency identification (RFID), wireless sensor networks and other smart objects that allow humans to easily interact with all equipment connected to the internet network. This paper describes the design of room control systems that utilize the IoT concept as a means for controlling and monitoring Avionic laboratory rooms via wifi in realtime. This helps the laboratory staff and AMTO managers in controlling lighting and monitoring temperature, humidity and smoke in the avionics lab room even though they are not in the laboratory location so as to increase the utility of the equipment.
On augment-less NPs in Xhosa and de NPs in French

Augment-less NPs in Xhosa and de NPs like de chevaux ‘of horses’ have strikingly similar properties. It seems that the properties of de NPs reflect the absence of the definite article les which combines with de to form the so-called partitive article des chevaux ‘some horses’. Taking the Xhosa augment to be similar (though not identical) to the French definite article, we account for the observed similarities between augment-less NPs and French de NPs.
Molecular approaches to the improvement of viral safety of blood and blood products

This thesis is concerned with the detection of viruses in blood and blood products, with the general aim of improving the safety of blood donations and factor concentrates for clinical use. The prevention of virus transmission by blood and blood products is currently based on the screening of blood donations for virus specific antibody or antigen and by incorporation of virus inactivation procedures in the manufacturing process. In this study virus detection was by reverse transcription (RT) of virus RNA (where appropriate) followed by amplification of cDNA of virus DNA by the polymerase chain reaction (PCR). The viruses studied were hepatitis C virus (HCV), parvovirus B19 and hepatitis A virus (HAV). For HCV, the relationship between detection of anti-HCV by recombinant immunoblot assay (RIBA-2) and viraemia was examined and a good correlation (84.4%) between a positive result in the RIBA-2 and detection of HCV by PCR was observed. However 5.4% of donations that were RIBA-2 indeterminate were PCR positive, demonstrating that PCR can be useful in the confirmation of ambiguous serological results. An assay system was developed that identifies different HCV genotypes by restriction fragment length polymorphisms (RFLP) in the 5' non-coding region of the genome. In a worldwide study of the distribution of HCV genotypes in blood donors, two new genotypes were discovered. Distinct geographical distributions of HCV genotypes were observed; HCV types 1, 2, and 3 were widely distributed while genotypes 4, 5, and 6 were detected exclusively in donors from one country only. Donors infected with HCV type 1 showed broad serological reactivity with all
3D-Printed Inhomogeneous Dielectric Lens Antenna Diagnostics: A Tool for Assessing Lenses Misprinted Due to Fabrication Tolerances

It is difficult to manufacture 3D-printed voxelized inhomogeneous lens antennas exactly to specifications due to fabrication tolerances. Here, we define fabrication tolerances as the sum total of voxelization errors plus printing errors. In this article, we show that the aperture phase is a sensitive function of these fabrication tolerances. A conservative estimate of ±0.127-mm error in the amount of material specified to be printed leads to a 1.63° phase error per cell. This error accumulates, as a voxelized lens is generally made of many cells. We present a novel method for diagnosing misprinted lenses and reverse engineering the true permittivity inhomogeneity profile of a lens fabricated within specified tolerances. The technique is based on an inverse-scattering tool that uses geometrical optics (GO) and particleswarm optimization (PSO). Once the actual permittivity profile is found with our method, a new optimal focal point can be calculated by using the same GO-PSO optimization tool to determine where to best feed the misprinted lens. Both numerical and measured examples are given to validate the process. The measured results show that at the new optimal focal point, the measured directivity has been restored to that of the original design specifications.
Construction of the mathematical model of a catalytic reaction by means of a perceptron with one hidden layer

Mathematical models for the homogeneous catalytic reaction between alcohols and dimethyl carbonate were developed using the least-squares method, a perceptron with one hidden layer, and the law of mass action. The structure of a trainable neural network is presented. The relative deviation error between the calculated and experimental values is minimum when the perceptron model with one hidden layer is used.
Factors Promoting Clean Energy in Japanese Cities: Nuclear Risks Versus Climate Change Risks

This article focuses on understanding the factors affecting the subconscious minds of urban citizens in terms of promoting clean energy and deregulation of the electricity sector. Does risk perception related to climate change and nuclear energy effect their choices? Does it differ between cities? A comparative analysis was performed for four cities after the accident at the Tokyo Electric Power Corporation’s (TEPCO)’s Fukushima Daiichi Nuclear Power Plant in 2011. This article uses a modeling technique based on surveys gathered in 2012. The results show that nuclear risks had a larger influence than climate-change risks with regards to supporting the deregulation of the electricity sector in TEPCO-serviced cities. Meanwhile, in non TEPCO-serviced cities, nuclear risks were more influential when the proportion of nuclear within the energy mix of the local utility was large. When the proportion was low, climate-change risks had the larger influence. Meanwhile, results from all four cities show that there is indeed a positive causal relationship between citizens’ levels of awareness of climate change and energy savings.
The effect of SOS Table learning environment on mobile learning tools acceptance, motivation and mobile learning attitude in English language learning

ABSTRACT The aim of this study is to demonstrate effectiveness of mobile game called SOS Table in the context of the subject “Tenses in English” within the framework of mobile learning tools acceptance, learning language motivation and mobile learning attitude of the students. The target group of the research consists of preparatory class students of a school of foreign languages in a state university in Turkey. The research was carried out with mixed method research. The quantitative paradigm-based section of this study was designed with a single-group pre-test and post-test model. In this model, three different scales were applied to the participants. The participants used the SOS Table mobile game developed by the researchers for 8 weeks. After the applications, semi-structured interviews were conducted with seven participants. The quantitative data of the study were analyzed with paired sampled t-Test and the qualitative data were subjected to thematic content analysis. The results of the study indicated that the mobile application named SOS Table increased both the mobile learning tools acceptance of the participants and motivation in English, and mediated the positive attitude development for mobile learning in English. The qualitative data obtained also supported these findings.
The Second Life of Inscriptions in Late Antique and Byzantine Asia Minor: Some Remarks on the Reuse of the Inscribed Material

Klasik, Roma ve Gec Antik Donem Anadolu topraklarina cesitli icerik ve amaclar barindiran, tas­lar uzerine yazili binlerce Yunanca ve Latince yazit miras birakmistir. Antik dunyanin cokusu ve Ortacag’a gecis ile birlikte, bu materyaller kamusal ya da sahsi metinleri tasimalari bakimindan onemlerini kaybetmisler ve onlara bakanlar icin anlasilmaz hale gelmislerdir. Bu sure icerisinde, epigrafi farkli bir yonelim izlemis ve Hiristiyanlik ile Dogu Roma Imparatorlugu’na ait kurumla­rin hizmetinde yeni degerler kazanmistir. Tahkimatlar, kamu altyapisi ve kiliseler bu uzun donem boyunca bolgedeki insa faaliyetinde one cikmislardir. Erken donem materyalleri ile dolu olan antik kent ve alanlarinin ilk olarak meydana gelmesinin ardindan mimari uretim genis olcude pek cok cesitte ve pek cok doneme ait devsirme malzeme kullanmistir. Bu devsirmeler cesitli yapilar icerisine – hic bozulmamis ya da yeniden islenmis sekilde – konmus pek cok yaziti icermektedir. Ankara’nin duvarlari, Ephesos kentinin kiliseleri ve diger anitlar, sonradan Selcuklu ve Osmanli Turkleri tarafindan da kullanilan bu uy­gulamayi temsil etmektedirler. Anadolu’nun Bizans Donemi anitlarindaki yazili devsirme malzemelerin varligi, bir sekilde degi­sik formda hala ayni dili konusan fakat farkli bir kulturu paylasan bir toplumda yazili kelimelere karsi gosterilen tutuma dair pek cok sorun ortaya cikarmaktadir. Bu makale, Anadolu’dan secilen yeniden kullanilmis epigrafik malzemeler isiginda yazitlarin cogunlukla pratik amaclarla kullanil­digini iddia etmektedir. Okuma yazma bilen ya da bilmeyen Bizanslilar tarafindan neredeyse an­lasilmaz olan yazili taslar, savunma yapilarinda, sivil binalarda ve kiliselerde yeniden kullanilmak uzere ham insa malzemesine donusmuslerdir.
PPARγ gene polymorphisms in black South African females with Type 2 diabetes mellitus

Aims: To describe body adiposity as a predictor of blood glucose control in black females with type 2 diabetes mellitus (T2DM) attending diabetes clinics in Bloemfontein, Free State Province, South Africa. Methods: A descriptive study was performed. A convenience sample of 72 females between the 20 and 60 years old, attending diabetes clinics at Pelonomi Tertiary Hospital and Universitas Academic Hospital in Bloemfontein, were included in the study. Glycosylated haemoglobin (HbA1c) values were captured from clinic records, which are routinely measured at six-monthly clinic visits. Analysis of HbA1c was done by the local accredited National Health Laboratory Services (NHLS). Weight and height measures and body composition as measured by dual-energy X-ray absorptiometry (DXA) was done. Results: The mean HbA1c was 8.4% (SD ± 2.2), with a minimum of 5.3% and a maximum of 13.8%. The mean BMI of the study population was 36.4 kg/m (SD ± 7.6). No significant correlation was found between blood glucose control and BMI (r -0.00591; p=0.9607), or blood glucose control and body fat percentage (r -0.06648; p=0.5790). Conclusions: Blood glucose control in this black female population with T2DM was poor. BMI and body adiposity were not associated with blood glucose control as measured by HbA1c, and blood glucose control was also not associated with age in this population. Poor blood glucose control as reflected by high HbA1c levels put this population with T2DM at a high risk for developing complications. Dietary counselling, optimal management and selfmanagement are essential to improve blood glucose control and prevent complications and early mortality.