Miracle-dz/UniFAR-FTUs huggingface dataset:
A Suitable Hardware Realization for the Cohen Class Distributions

A multidistribution hardware for the realization of the Cohen class distributions is proposed. This approach is based on the modified form of kernel function that is computationally efficient and suitable for real-time implementation. The proposed solution includes various kernels based on the exponential and sine function, with the possibility of choosing different kernel parameters. The proposed architecture is implemented using the field-programmable gate array and can be used in high-speed real-time applications.
Fiscal Consolidations: Welfare Effects of the Adjustment Speed

This work studies the response of social welfare to fiscal consolidations, by focusing on a less debated characteristic of fiscal plans: the speed of deleveraging. A neoclassical overlapping generations model is calibrated to the German economy, and a sequence of reductions of the same size in the debt-to-GDP ratio are simulated considering different adjustment periods. Welfare gains are found to be larger in slow, delayed fiscal consolidations, due to the presence of incomplete markets. It is also found that the aggregate welfare response depends on the distribution of wealth and the type of fiscal instrument used.
Malware detection on android using Adaboost algorithm

Advanced expansion of technologies and mobile devices has directed in to key cyber-attacks in the contemporary ages. Andriod is a famous operating platform, which made use in tablets and smartphones and also befit a fundamental target of untrustworthy obligations performed by various malwares. It is reported there is over 50 billion android OS download and more than 1.3 millions of android applications accessible in the official market of google and the popularity is still increasing. Broadening of the consumers in this particular operating system welfares the enemies to produce immense malwares which distress defectively with time. This study observes that, even though there are methods to detect malware in android system using machine learning techniques where the accuracy seems to be low. Machine learning Is an approach used in the past years to detect malwares which not produce a better result for the recent malwares developed (Yerima et al., 2015). Ensemble learning is an approach similar to machine learning which can give a healthier outcome, this encourage me to create a system to detect the malware in android using one of the ensemble learning alogorithm named “Adaboost” which is a boosting technique. Boosting is a method of merging distinctive low accuracy model which create high accuracy model. Mentioned Adaboost algorithm will be trained on Andriod data to understand how efficient is the algorithm to detect malware on android.
POLYMER COATED DRUG ELUTED STENT FOR CARDIOVASCULAR DISEASES

Cardiovascular disease (CVD) is one of the serious disease worldwide. Currently top ten cause of death in the world cause due to CVD. CVD includes many conditions like the Coronary Artery Disease (CAD), Ischemic Heart Disease (IHD), and aortic diseases [1]. To overcome this fatal disease many treatments have been introduced in the field of medicine, like angioplasty and the field of interventional cardiology extended its support by the introduction of stent. Stent is a small tube like arrangement that is deployed in the coronary artery after the plaque removal (block), to allow the free flow of blood through the artery. Initially, the stents were made up of metal source like stainless steel, Cobalt and termed as Bare Metal Stents (BMS). The disadvantageous of using these stents include reoccurrence of the plaque and neointimal hyperplasia. In order to overcome these draw backs, Drug Eluting Stents (DES) were introduced which deliver the drug at the site of plaque formation and reduce the multiplication of smooth muscle cell thereby reducing neointimal hyperplasia. Restenosis and thrombosis seems to be problem of stenting irrespective of the material used. Therefore, in the present investigation two different materials, Polypropylene (polymer) is introduce to overcome the stated problem.
Project-Team select Model Selection and Statistical Learning

point of view. Model selection criteria have been conceived to answer the difﬁculty that the data probability distribution P is unknown. But, beyond technical difﬁculties which can occur when choosing a model, it can be fruitful to take into account the purpose of the model user to get reliable and useful models for statistical description or decision tasks. As noticed earlier, most of standard model selection criteria are assuming that P is belonging to one of the considered models without considering the modelling purpose. This point of view would be useful not only from the practical point of view, but also it could help to avoid or overcome theoretical difﬁculties. Moreover, taking into account the modelling purpose would produce ﬂexible model selection criteria with data-driven penalties [16]. This point of view can be expected to be useful in supervised Classiﬁcation and hidden structure models. Finally, it is worth to mention that an alternative Bayesian approach for taking the modelling purpose into account can be expected to be useful in that setting. E (for instance, E = fA;C;G;Tg ), the problem is to reconstruct the topology of the evolutionary tree between the species from aligned sequences for the considered species, and to estimate the tree parameters (branches length) as well as the parameters of the evolutionary model. The model that we consider is the covarion model. For this model, a site can change of behavior along the evolutionary tree according to two hidden states, active (ON) or nonactive (OFF). We are working to elucidate identiﬁability conditions and to analyze those conditions from the practical viewpoint. In this research, we are also interested to compare non nested models [19].
Calculation of capillary conductivity from pressure plate outflow data with nonnegligible membrane impedance

The flow equation describing the movement of water out of a soil sample placed in a pressure plate apparatus, is solved for the case that the impedance of the membrane or porous plate will have to be taken into account. A practical and simple method is developed for the calculation of the capillary conductivity from outflow data. Using this method the total impedance at the lower boundary of the sample is determined from the experimental outflow data for each pressure step applied. In this way it is not necessary to determine the membrane impedance experimentally. The influence of the membrane impedance on the final value of the capillary conductivity is computed for various values of the impedance.
Integral system of monitoring and modeling for blast optimization

: Most mines seek fine fragmentation for down-stream operations to maximize mineral abstraction with minimized energy cost, e.g., mine-to-mill blast optimizations. On the other hand, maintaining stable highwalls and undisturbed nearby community is highly desirable. To obtain fine fragmentation, it is often required to design blasts with favorable energy concentration through explosive loading or blasthole delay timing. Blast designs have potential to increase blast vibration in general. To achieve the optimization, an integral system for accurate monitoring and reliable modeling of full blast design parameters for rock fragmentation and blast vibration is required. Current technology in the literature falls short for each of the needs. This paper presents an integral system, which includes the accelerometer-based blast vibration monitoring system, the multiple seed waveform blast vibration model, and the multiple blasthole fragmentation model. The three components together complete a close loop of the needs for blast optimization.
Optimizing the Deﬁnition of a Sudden Stratospheric Warming

Various criteria exist for determining the occurrence of a major sudden stratospheric warming (SSW), but the most common is based on the reversal of the climatological westerly zonal-mean zonal winds at 60 8 latitude and 10hPa in the winter stratosphere. This deﬁnition was established at a time when observations of the stratosphere were sparse. Given greater access to data in the satellite era, a systematic analysis of the optimal parameters of latitude, altitude, and threshold for the wind reversal is now possible. Here, the frequency of SSWs, the strength of the wave forcing associated with the events, changes in stratospheric temperature and zonal winds, and surface impacts are examined as a function of the stratospheric wind reversal parameters. The results provide a methodical assessment of how to best deﬁne a standard metric for major SSWs. While the continuum nature of stratospheric variability makes it difﬁcult to identify a decisively optimal threshold, there is a relatively narrow envelope of thresholds that work well—and the original focus at 60 8 latitude and 10hPa lies within this window.
Patterns of Carpel Structure, Development, and Evolution in Monocots

The phenomenon of heterochrony, or shifts in the relative timing of ontogenetic events, is important for understanding many aspects of plant evolution, including applied issues such as crop yield. In this paper, we review heterochronic shifts in the evolution of an important floral organ, the carpel. The carpels, being ovule-bearing organs, facilitate fertilisation, seed, and fruit formation. It is the carpel that provides the key character of flowering plants, angiospermy. In many angiosperms, a carpel has two zones: proximal ascidiate and distal plicate. When carpels are free (apocarpous gynoecium), the plicate zone has a ventral slit where carpel margins meet and fuse during ontogeny; the ascidiate zone is sac-like from inception and has no ventral slit. When carpels are united in a syncarpous gynoecium, a synascidiate zone has as many locules as carpels, whereas a symplicate zone is unilocular, at least early in ontogeny. In ontogeny, either the (syn)ascidiate or (sym)plicate zone is first to initiate. The two developmental patterns are called early and late peltation, respectively. In extreme cases, either the (sym)plicate or (syn)ascidiate zone is completely lacking. Here, we discuss the diversity of carpel structure and development in a well-defined clade of angiosperms, the monocotyledons. We conclude that the common ancestor of monocots had carpels with both zones and late peltation. This result was found irrespective of the use of the plastid or nuclear phylogeny. Early peltation generally correlates with ovules belonging to the (syn)ascidiate zone, whereas late peltation is found mostly in monocots with a fertile (sym)plicate zone.
Biostimulatory Effects of Chlorella fusca CHK0059 on Plant Growth and Fruit Quality of Strawberry

Green algae have been receiving widespread attention for their use as biofertilizers for agricultural production, but more studies are required to increase the efficiency of their use. This study aimed to investigate the effects of different levels of Chlorella fusca CHK0059 application on strawberry plant growth and fruit quality. A total of 800 strawberry seedlings were planted in a greenhouse and were grown for seven months under different Chlorella application rates: 0 (control), 0.1, 0.2, and 0.4% of the optimal cell density (OCD; 1.0 × 107 cells mL−1). The Chlorella application was conducted weekly via an irrigation system, and the characteristics of fruit samples were monitored monthly over a period of five months. The growth (e.g., phenotype, dry weight, and nutrition) and physiological (e.g., Fv/Fm and chlorophylls) parameters of strawberry plants appeared to be enhanced by Chlorella application over time, an enhancement which became greater as the application rate increased. Likewise, the hardness and P content of strawberry fruits had a similar trend. Meanwhile, 0.2% OCD treatment induced the highest values of soluble solid content (9.3–12 °Brix) and sucrose content (2.06–2.97 g 100 g−1) in the fruits as well as fruit flavor quality indices (e.g., sugars:acids ratio and sweetness index) during the monitoring, whilst control treatment represented the lowest values. In addition, the highest anthocyanin content in fruits was observed in 0.4% OCD treatment, which induced the lowest incidence of grey mold disease (Botrytis cinerea) on postharvest fruits for 45 days. Moreover, a high correlation between plants’ nutrients and photosynthetic variables and fruits’ sucrose and anthocyanin contents was identified through the results of principal component analysis. Overall, C. fusca CHK0059 application was found to promote the overall growth and performance of strawberry plants, contributing to the improvement of strawberry quality and yield, especially in 0.2% OCD treatment.
Link to Leeds Beckett Repository record

—The motor drive system plays a significant role in the safety of electric vehicles as a bridge for power transmission. Meanwhile, to enhance the efficiency and stability of the drive system, more and more studies based on AI technology are devoted to the fault detection and diagnosis of the motor drive system. This paper reviews the application of AI techniques in motor fault detection and diagnosis in recent years. AI-based FDD is divided into two main steps: feature extraction and fault classification. The application of different signal processing methods in feature extraction is discussed. In particular, the application of traditional machine learning and deep learning algorithms for fault classification is presented in detail. In addition, the characteristics of all techniques reviewed are summarized. Finally, the latest developments, research gaps and future challenges in fault monitoring and diagnosis of motor faults are discussed.
ORIGINAL RESEARCH The Circadian Clock Gene, Bmal1 , Regulates Intestinal Stem Cell Signaling and Represses Tumor Initiation

regulates transcripts involved in regeneration and intestinal stem cell signaling. Tumors have no self-autonomous clock function and only weak clock function in vivo. Apc min clock-disrupted tumors show high Yes-associated protein 1 (Hippo signaling) activity but show low Wnt (Wingless and Int-1) activity. Intestinal organoid assays show that loss of Bmal1 increases self-renewal in a Yes-associated protein 1 – dependent manner. CONCLUSIONS: Bmal1 regulates intestinal stem cell pathways, including Hippo signaling, and the loss of circadian rhythms
NBER WORKING PAPER SERIES QUANTILE REGRESSION WITH CENSORING AND ENDOGENEITY

In this paper, we develop a new censored quantile instrumental variable (CQIV) estimator and describe its properties and computation. The CQIV estimator combines Powell (1986) censored quantile regression (CQR) to deal semiparametrically with censoring, with a control variable approach to incorporate endogenous regressors. The CQIV estimator is obtained in two stages that are nonadditive in the unobservables. The first stage estimates a nonadditive model with infinite dimensional parameters for the control variable, such as a quantile or distribution regression model. The second stage estimates a nonadditive censored quantile regression model for the response variable of interest, including the estimated control variable to deal with endogeneity. For computation, we extend the algorithm for CQR developed by Chernozhukov and Hong (2002) to incorporate the estimation of the control variable. We give generic regularity conditions for asymptotic normality of the CQIV estimator and for the validity of resampling methods to approximate its asymptotic distribution. We verify these conditions for quantile and distribution regression estimation of the control variable. We illustrate the computation and applicability of the CQIV estimator with numerical examples and an empirical application on estimation of Engel curves for alcohol. Victor Chernozhukov Department of Economics Massachusetts Institute of Technology Cambridge, MA 02142 vchern@mit.edu Iván Fernández-Val Department of Economics Boston University 270 Bay State Rd Boston, MA 02215 ivanf@bu.edu Amanda E. Kowalski Department of Economics Yale University 37 Hillhouse Avenue Room 32, Box 208264 New Haven, CT 06520 and NBER amanda.kowalski@yale.edu
Serotonin production of the developing gastrointestinal tract of human embryos in 6th gestation week

Background: Local regulation of gastrointestinal tract digestion is performed by a large number of hormones produced by the mucosal enteroendocrine cells. Some of the earliest differentiating cells in the gastrointestinal tract are enteroendocrine cells. Serotonin-producing cells - EC cells are found mostly in the stomach and duodenum. Aim: The aim of our study is to establish the presence and to make morphological and morphofunctional characteristic of ЕС cells in the developing gastrointestinal tract of a human. Materials and methods: Our study was performed with biopsy specimen from human stomach and duodenum and fragments of gastrointestinal tract of human embryos 6th gestation week, studied by immunohistochemical, electron microscopy and morphometric methods. Results: EC cells have already been differentiated in the 6th gestation week. Embryonic EC cells had identical characteristics with those of adults. They were in two morphofunctional conditions: stage of increased synthesis and stage of relative secretory rest. Conclusion: In the early embryonic period - 6th gestation week EC cells have already been differentiated. The occurrence of EC cells with hormonal production prior to the definitive differentiation of tissues presupposes participation of serotonin in the digestive tube histogenetic processes.
Populations across species ranges respond differently to habitat loss and fragment

Context Conservation strategies assume all species populations respond equally to habitat loss, but we investigated sensitivity patterns and tested two hypotheses: 1) equal sensitivity across the range or environmental suitability, and (2) highest sensitivity in range edge populations or at low environmental suitability. We also evaluated if species traits such as dispersal ability, habitat specialization, and range size were associated with sensitivity responses. Methods We studied the Brazilian Atlantic Forest across 179 landscape sites. We used two model types to analyze sensitivity to habitat transformations and performed a PCA and permutational MANOVA framework to link species traits to sensitivity patterns. Results Our study shows that populations within a species' range can have different patterns of sensitivity to habitat transformations. We found four sensitivity patterns, which were not related to species traits. Biogeographic and landscape factors interact to affect population abundances, resulting in antagonistic or synergistic effects. These interactions can change population responses to habitat transformations depending on their range position or environmental suitability. Conclusions
The Coconut Day: A Poetic Interpretation of Seizure Experiences

This article presents a fraction of an interpretative phenomenological analysis (IPA) of people's seizure (ictal) experiences. In addition to undertaking individual analyses and across case analyses, a poetic interpretation (SZTO, FURMAN & LANGER, 2005) of participant's words was undertaken which focussed on bodily experiences and consciousness. The interpretations indicate participants' awareness of biological events unfolding; their abilities (or not) to interact with others; personal resignation to having the condition; and the effect epilepsy has on their lives. Although people are not always able to respond appropriately to events external to them during a seizure, having some conscious awareness allowed one man to act to save his life. Findings from the study shed light onto subjective seizure experiences of consciousness. Collecting similar accounts could begin a corpus of data to inform research on ictal consciousness. The poetic interpretations below provide a porthole to a large vista of subjective seizure experiences, and could be considered both as research and clinical texts, being valuable to lay/professional carers and to the differential diagnosis of seizures. URN: http://nbn-resolving.de/urn:nbn:de:0114-fqs1302185
Conceptualising ‘queercide’: a quantitative exploration of the technical frames used in online reports on lesbian murders in South Africa

South Africa remains one of the most dangerous places for women – lesbians in particular – to live freely and safely, where a culture of patriarchy and a lack of socio-economic opportunity are ubiquitous throughout its communities. While the Internet has given journalists a wider platform to provide insights about issues plaguing lesbians, there is very little information regarding the elements used in these online reports. This is not only due to the lack of language required to contextualise lesbian issues, but also persistent institutional and societal homophobia. This article describes the technical frames used in the online news reporting of four case studies of ‘queercide’. Using a thematic coding sheet, data was collected from 70 online articles purposively selected based on a priori population characteristics. The study found technical elements, such as the length of online reports, credible sources used, and ‘code-driven’ and ‘user-driven’ elements identified in the coded online articles. The conclusion uncovers some clear trends enabling the construction of a Venn-type diagram, which presents insights into how the murder of lesbians (referred to as a sub-section of ‘queercide’ in the article) is being reported by online news media compared to contemporary theoretical discussions on how these cases should be reported on. This article situates ‘queercide’ within a conceptual framework for future studies, while the findings demonstrate how online articles on the killing of lesbians lack self-regulatory and sharing features that would improve their legitimacy in the minds of their readers.
PEV Adoption Model for California Based on Heterogeneity in Single and Multi-Vehicle Households

Executive Summary In this paper, we build an electric vehicle adoption model using heterogeneity in first-time PEV buyer household characteristics in California between 2012-2020. Utilizing a multi-year survey of 18,921 respondents, adopters are segmented using sociodemographic, vehicle fleet, and land use characteristics through latent class analysis into eight clusters. Single-vehicle households are split between Lower-Income Old Families, Lower-Income Young Renters, High-Income Families, and Mid/High-Income Young Renters . Multi-vehicle households include High-Income SUV Families, Middle-Income Young Renter, Mid/High-Income Old Families, and Mid/High-Income Rural Truck Families . After classifying the population into these segments, we fit Bass diffusion models to create a PEV adoption forecast meeting the 100% ZEV new car sales goal by 2035. We find Rural Truck Families , Lower-Income Old Families , and Lower-Income Young Renters , which together represent almost half of the population, are adopting PEVs much slower than other clusters. Policymakers should consider the specific infrastructure and incentives needed to electrify these segments.