Miracle-dz/UniFAR-FTUs huggingface dataset:
Development and optimization of specially designed air ventilation system combined with thermoelectric and composite desiccant unit

This research focused on the enhancement of a conventional air ventilation system by using monitoring control. A specially designed system was developed to optimize the current systems in order to improve the air quality and thermal comfort in buildings. Indoor parameters, such as temperature, humidity, and air pollution (CO2), were monitored and controlled. Researchers accumulated data and implemented performance analysis as a tool for assessing specially designed air ventilation systems. These practices were designed based on a concept that is dedicated outdoor air systems that were comprised of a composite desiccant unit in addition to a thermoelectric module to address tremendous latent and sensible loads of air inlet. The results of the experiment indicated that the 12 V of electrical supply to thermoelectric provided the highest COP of the system, and the temperature and humidity in the comfort zone was approximately 27 ๐C and 55%, respectively, due to this newly developed system. Furthermore, the CO2 levels were lower than 1000 ppm during this research study, which were in accordance with established standards of indoor air quality.
PEMODELAN GENERALIZED POISSON REGRESSION PADA FAKTOR-FAKTOR YANG MEMPENGARUHI KASUS PNEUMONIA PADA BALITA DI PROVINSI SULAWESI SELATAN 2018

Kasus pneumonia pada balita merupakan kejadian yang berdistribusi poisson, sehingga pemodelannya bisa menggunakan regresi Poisson. Tetapi kasus pneumonia pada balita berpotensi mengalami pelanggaran asumsi equidispersi yang dapat menyebabakan standar error yang tinggi dan penaksiran parameter yang tidak efisien, sehingga dalam penanganannya diperlukan sebuah model yang dapat digunakan untuk mengatasi pelanggaran asumsi equidispersi. Artikel ini membahas tentang faktor-faktor yang mempengaruhi kasus pneumonia pada balita di Provinsi Sulawesi Selatan Tahun 2018 dengan menggunakan pemodelan Generalized Poisson Regression. Berdasarkan hasil dan pembahasan penelitian dapat disimpulkan bahwa faktor yang signifikan mempengaruhi jumlah kasus pneumonia pada balita di Provinsi Sulawesi Selatan Tahun 2018 yaitu persentase bayi yang diberi ASI Eksklusif , persentase bayi yang mendapat Vitamin A , dan persentase bayi yang diimunisasi dasar lengkap . Model Generalized Poisson Regression yang didapatkan adalah:
Incomplete Crack Sealing Causes Localization of Fracturing in Hydrothermal Quartz Veins

Cyclic microfracturing and epitaxial crystal growth have long been recognized in crack‐seal veins, but an understanding of a single crack‐seal cycle is still missing. Here we present a phase‐field model that includes both fracture mechanics of crack propagation, and epitaxial crystal growth on the fracture walls, repeating this cycle multiple times in a polycrystalline, microporous quartz rock. Our simulations have two end members: If a vein completely seals, it is stronger than the host rock, cracking is delocalized, forming many single‐seal microveins. Incomplete sealing makes the vein weaker than the host rock and localizes the new fracture inside the vein, leading to multi‐crack‐seal. We suggest that the sealing degree is a key parameter in hydrothermal systems and multi‐crack‐seal veins are long‐lived, microporous sites of mechanical weakness. We generalize the phase‐field approach to conduct probabilistic simulations in between these two types, and show how systems of microveins and multi‐crack‐seal veins emerge.
Migration, Tariffs, and China’s Export Surge*

We built a multi-sector spatial general equilibrium model, featuring heterogeneous firms’ and workers’ location choices, to account for China’s export surge between 1990 and 2005 from three policy changes: China’s import tariffs, tariffs imposed against China’s exports, and barriers to internal migration in China. We found that tariff and migration policies jointly accounted for 30% of China’s export growth. We also found a positive spillover effect of tariff and migration policies, which arose entirely from processing export growth. As migration reform prepared the country to become more export oriented, China enjoyed a faster export growth from opening up trade than if it had done otherwise. This spillover effect of tariff and migration policies would have been overlooked if tariff and migration had been analyzed separately, or if processing and ordinary exports had not been distinguished in the model. JEL Codes: F1; J6.
Design of Low-Power Non-Binary LDPC Decoder Exploiting DRAM Refresh Rate Over-Scaling

This brief presents a low-power non-binary low density parity-check decoder design exploiting domain specific information for high-throughput wireless video communication applications. The proposed technique can dynamically scale the refresh rate of DRAM according to channel conditions as well as decoding states, hence to greatly reduce the DRAM power as well as the decoder power with lower refresh overhead. Evaluation results show that the proposed technique can achieve significant decoder power saving than conventional techniques.
Constellations: A novel dataset for studying iterative inference in humans and AI

Under complex viewing conditions, human perception relies on generating hypotheses and revising them in an iterative fashion. We developed novel visual stimuli to study such iterative inference in humans and AI. In these stimuli, called "constellations", all local information about the object has been removed and it can only be recognized when taking into account the global pattern. We here describe the dataset and demonstrate that humans indeed use an iterative process of generating hypotheses and refining them to solve these images. We also provide code that allows researchers to create their own constellation images. The constellation dataset allows researchers to develop sketching algorithms for guessing the hidden object. As such algorithms used by humans appear to be iterative in nature, this dataset will facilitate the study of iterative inference in minds and machines.
Online Learning Empirical Research on the Learning Process and Its Impact on Learning Outcomes: Review of Literature and a Future Research Direction

Research on e-learning has been conducted over the past several decades. The most common e-learning empirical research streams have been studies that examine potential predictors of course learning outcomes. Building a holistic success model with a system’s view is a critical issue that must be tackled to make progress toward building robust e-learning theories. The purpose of this research is to further investigate the critical issue raised by Eom and Ashill (2018) to guide future empirical research in building robust e-learning theories. The majority of e-learning empirical research studies of critical success factors over the past decade built models of a set of disconnected constructs. We conclude that it is imperative for future e-learning empirical research to focus on building a holistic success model of a set of interconnected constructs with a system’s view.
A miniaturized parallel ring coupling high gain antenna for biomedical applications

In this article, a compact planar antenna having an Olympic rings symbol shaped patch attached with dual arms and 50 Ω feed‐line is proposed for biomedical applications. The proposed antenna has a size of 20 ×20 × 1.6 mm and resonates at 2.45 GHz. The antenna parameters are analyzed and the final design is proposed after carefully optimizing the antenna dimensions. The antenna shows an impedance bandwidth of 2.4‐2.49 GHz with unidirectional radiation pattern. The peak gain of the proposed miniaturized antenna is 6.4 dBi which makes it suitable for its use in the near‐field biomedical applications.
influenza antigenic with evolution.

Influenza viruses undergo continual antigenic evolution allowing mutant viruses to evade host immunity acquired to previous virus strains. Antigenic phenotype is often assessed through pairwise measurement of cross-reactivity between influenza strains using the hemagglutination inhibition (HI) assay. Here, we extend previous approaches to antigenic cartography, and simultaneously characterize antigenic and genetic evolution by modeling the diffusion of antigenic phenotype over a shared virus phylogeny. Using HI data from influenza lineages A/H3N2, A/H1N1, B/Victoria and B/Yamagata, we determine patterns of antigenic drift across viral lineages, showing that A/H3N2 evolves faster and in a more punctuated fashion than other influenza lineages. We also show that year-to-year antigenic drift appears to drive incidence patterns within each influenza lineage. This work makes possible substantial future advances in investigating the dynamics of influenza and other antigenically-variable pathogens by providing a model that intimately combines molecular and antigenic evolution. flu strain. This suggests that knowing which antigenic phenotypes are present at the start of flu season could help predict which strains of the virus will predominate later on. The work of Bedford et al. provides a useful framework to study influenza, and could help to pinpoint which changes in viral genes cause the changes in antigens. This information could potentially speed up the development of new flu vaccines for each flu season.
All‐optical RF amplification toward Gpbs communications and millimeter‐waves applications

We propose and experimentally investigate the use of an ultra‐wideband photonics‐assisted RF amplifier for Gbps communications and mm‐waves applications, including 5G cellular networks. A 2 Gsymb/s broadband signal with different modulation formats has been used for evaluating the all‐optical RF amplifier, as a function of diverse electrical and optical figures of merit, including RF gain, signal‐to‐noise ratio, linearity, constellation, and error vector magnitude.
Nowhere to Hide: Radio-faint AGN in GOODS-N ﬁeld I. Initial catalogue and radio properties (cid:63)

Context. The occurrence of active galactic nuclei (AGN) is critical to our understanding of galaxy evolution and formation. Radio observations provide a crucial, dust-independent tool to study the role of AGN. However, conventional radio surveys of deep ﬁelds ordinarily have arc-second scale resolutions often insu ﬃ cient to reliably separate radio emission in distant galaxies originating from star-formation and AGN-related activity. Very long baseline interferometry (VLBI) can o ﬀ er a solution by identifying only the most compact radio emitting regions in galaxies at cosmological distances where the high brightness temperatures (in excess of 10 5 K) can only be reliably attributed to AGN activity. Aims. We present the ﬁrst in a series of papers exploring the faint compact radio population using a new wide-ﬁeld VLBI survey of the GOODS-N ﬁeld. This will expand upon previous surveys, permitting the characterisation of the faint, compact radio source population in the GOODS-N ﬁeld. The unparalleled sensitivity of the European VLBI Network (EVN) will probe a luminosity range rarely seen in deep wide-ﬁeld VLBI observations, thus providing insights into the role of AGN to radio luminosities of the order 10 22 WHz − 1 across cosmic time. Methods. The newest VLBI techniques are used to completely cover an entire 7 . (cid:48) 5 radius area to milliarcsecond resolutions, while bright radio sources ( S > 0.1mJy) are targeted up to 25 (cid:48) from the pointing centre. Multi-source self-calibration, and a primary beam model for the EVN array are used to correct for residual phase errors and primary beam attenuation respectively. Results. This paper presents the largest catalogue of VLBI detected sources in GOODS-N comprising of 31 compact radio sources across a redshift range of 0.11–3.44, almost three times more than previous VLBI surveys in this ﬁeld. We provide a machine-readable catalogue and introduce the radio properties of the detected sources using complementary data from the e-MERLIN Galaxy Evolution survey (eMERGE).
Pulsed power load effect mitigation in DC shipboard microgrids: a constrained modelpredictive approach

This paper proposes a novel model predictive controller to minimise the effect of unknown pulsed loads on the DC microgrid (MG) side of shipboards. It is assumed that the level of the pulsed power loads (PPLs) is not determined in prior for which the authors propose a novel non-linear power observer. By employing the so-called freezing technique, a novel model predictive scheme is utilised to optimally stabilise the overall DC shipboard MG. Furthermore, different constraints on the current of the DC source and the energy storage system (ESS) are considered in the predictive controller to make it more realistic and practical. Compared to the exiting results, the proposed approach can optimally design the injecting current of the ESS so that the practical and physical constraints of the DC MG are also satisfied, which improves the effectiveness and robustness of the proposed controller. To show the merits of the proposed approach, it is tested on a DC MG that feeds one PPL. Real-time model-in-the-loop (MiL) results show the performance improvements in the transient and steady-state obtained by the proposed control method compared to the state-of-the-art methods.
COVID-19 COVID-19 antibody seroprevalence in Santa Clara County, California

Background: Measuring the seroprevalence of antibodies to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is central to understanding infection risk and fatality rates. We studied Coronavirus Disease 2019 (COVID-19)-antibody seroprevalence in a community sample drawn from Santa Clara County. Methods: On 3 and 4 April 2020, we tested 3328 county residents for immunoglobulin G (IgG) and immunoglobulin M (IgM) antibodies to SARS-CoV-2 using a rapid lateral-ﬂow assay (Premier Biotech). Participants were recruited using advertisements that were targeted to reach county residents that matched the county population by gender, race/ethnicity and zip code of residence. We estimate weights to match our sample (95% CI 14 000–35 000) using unweighted prevalence] people were infected in Santa Clara County by late March—many more than the (cid:2) 1200 conﬁrmed cases at the time. Conclusion: The estimated prevalence of SARS-CoV-2 antibodies in Santa Clara County implies that COVID-19 was likely more widespread than indicated by the number of cases in late March, 2020. At the time, low-burden contexts such as Santa Clara County were far from herd-immunity thresholds.
Progress in the Implementation of the EU Energy Efficiency Directive through the Lens of the National Annual Reports

Following the adoption of the Energy Efficiency Directive (EED) in 2012, the Member States of the European Union implemented various policies and measures to meet the Directive's requirements, including national energy efficiency targets for 2020. The progress made at national level is tracked through the Annual Reports provided by Member States to the Commission in accordance with the EED Article 24. To provide valuable insights of the actions taken by Member States towards increasing energy efficiency in various sectors of their economies, this paper reviews the assessment of the Annual Reports (AR) submitted since 2013 – the year in which the first reports were due – until the latest Annual Reports of 2018. Notably, the implementation status of key EED provisions such as Article 5 on the exemplary role of public bodies’ buildings and Article 7 on Energy Efficiency Obligation Schemes (EEOS) is discussed, providing a historical view of the progress made from the inception of the various actions until now. The need of more efforts, in particular with the Article 5 implementation, is identified. The national contributions towards the EU 2020 target are also discussed, including an analysis of the latest energy consumption trends and reasons for which energy consumption remained stable or increased, as given by Member States in their reports. Lessons learned from the EED experience so far are drawn that provide valuable input for the successful implementation of the future requirements under the new Energy Union Governance.
Implement Secure Authentication Mechanisms in Web Applications

: With the advent of World Wide Web, information sharing through internet increased drastically. So web applications security is today’s most significant battlefield between attackers and resources of web service. It is likely to remain so for the foreseeable future. By considering recent attacks it has been found that major attacks in Web Applications have been carried out even system having authentication mechanisms. Malicious users getting access into systems, reasons may be anything but getting third party access into systems shell violet organization policies. Authenticating an object means confirming its provenance to service, whereas authenticating a person often consists of verifying their identity. Depends on application authentication scheme will implement one or more authentication factors. In computer security, authentication is the process of attempting to verify the digital identity of user to server for getting service, in this process server don’t knows who requesting service, irrespective of identification if server provides service then possibility to getting access by unauthorized users. Mainly these vulnerable authentication applications lead to security risks.
Weaving a New World: Wearable Thermoelectric Textiles

Propelled by exciting leaps in materials science and fabrication technology, there is an expanding market for development of functional or “active” textiles materials which can provide a secondary function beyond traditional textile use [1,2]. One need not look farther than the recent commercial surge of smart watch technologies to recognize the growing demand for smart devices in the fashion industry. In this burgeoning field, researchers are utilizing a variety of innovative approaches, including combining textiles with Thermo Electric (TE) modules [3,4], a solid-state technology which provides temperature modulation (heating or cooling). The concept of a wearable TE textile is innovative and fun with huge potential, but might be unfamiliar to general readers since it has only recently emerged into mainstream markets. With this in mind, this report will provide an overview of the important concepts, relevant history, and current research status of TE technologies, highlighting the major challenges facing the field.
Epidemiology and management of endometrial cancer: experience of International University Hospital Cheikh Khalifa and Mohammed VI Center for cancer treatment at University Hospital Ibn Rochd Casablanca, Morocco

Endometrial cancer is the fourth most common cancer in women in high-income countries and its incidence has increased over the past 20 to 30 years. In Morocco, the incidence is close to those found in developing countries, but it is lower than those found in Western countries. To determine some epidemiological aspects of endometrial cancer in Morocco, we conducted a prospective study over 43 months at the International University Hospital Cheikh Khalifa and the Mohammed VI Center for Cancer Treatment at the Ibn Rochd Casablanca University Hospital, Morocco. 93 cases of endometrial cancer were included.
Leveraging the Pros of the Gig Economy

The gig economy can be described as a temporary work-environment where an independent workforce uses platforms to find and draw income from work. In 2016, 20-30% of US and Europe’s population took part in some kind of independent work, and the amount of selfemployed in Sweden is growing. However, at what rate it grows differs depending on how these workers are defined. Within the gig economy, the fastest growing areas of work are in knowledge intensiveand creative environments such as consulting. Using gig consultants provides companies access to top talent within IT, which is required in many businesses and industries where digitalisation is disrupting their ways of working. One of these industries is manufacturing, where e.g. servitisation and Industry 4.0 makes the companies more digital and connected. The purpose of this thesis was to understand how manufacturing companies handle their external talent management and demand for consultant hires within IT, both now and in the future as the amount of gig consultants increases. This was done by conducting interviews with representatives from five Swedish manufacturing companies within automotive and machinery. The interviewees had different roles, but were or had been responsible for hiring consultants within IT. The empirics gained from the interviews were combined with theory, mainly on talent management and managing external talent. The main findings from the study were that in most cases, the companies do not choose between a consultant and a gig consultant, they rather look for the right competence. Gig consultants are however seen as more of experts and can specifically be hired when frontedge or niched competence is needed. On the other hand, consultants can be used when a complete solution has to be delivered as the capacity of a consultancy is higher. To ensure successful consultant hires, the IT departments work with preferred suppliers with whom they have framework agreements to access and hire talent. These suppliers include both consultancies and brokers, from where they get both regular consultants and gig consultants. In general, what defines a successful hire of a consultant is that he or she is sufficiently competent and able to quickly adapt to the company. Additionally, a successful hire is when the project or assignment is completed on time with good result. The main advantages with hiring gig consultants are that acquiring competence can be made easier and more flexible, they can also access more niched competencies. The main disadvantage is that it is unclear who takes responsibility if a gig consultant cannot deliver as they are not part of a firm who can send a replacement. However, some brokers seem to replace the gig consultant.