Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel Multiphysics Design Methodology for Coreless Axial Flux Permanent Magnet Machines

This work is devoted to multiphysics design of coreless axial flux permanent magnet machines with concentrated coils. Recently, these machines have been proposed for the propulsion of civil miniature electric unmanned aerial vehicles, which need very high torque and power densities. Such requirements tend to be in contrast with other important features such as high efficiency and resilience, making the design quite challenging. Among the various geometrical parameters, the rotor poles to stator coils ratio plays a key role in their performance. The main contribution of this paper is the development of an original design method hinging upon the said ratio. The 2D electromagnetic model at the heart of the approach is derived at the average radius and accounts for multi-layer and axially thick stator coils. Additional contributions include the concurrent use of thermal modelling in the preliminary design stage and mechanical analyses in the design refinement stage aimed at optimizing torque density and guaranteeing rotor integrity at maximum speed. Comprehensive experimental tests on a full-scale prototype are reported and help build confidence in the proposed methodology.
Mesoscale Dynamics of the Near-Dryline Environment: Analysis of Data from COPS-91

Abstract A technique is introduced using surface data from triangular networks of adjacent mesonet stations to estimate the terms in the horizontal equation of motion at anemometer level (10 m) on either side of the dryline in the southern plains of the United States. Data from an instrumented surface mesonetwork in the Texas panhandle and western and central Oklahoma during the Cooperative Oklahoma Profiler Studies (COPS-91) field program were employed for this purpose. East of the dryline and surface pressure trough the vertical-mixing term had a component normal and to the right of the surface wind in accord with Ekman theory; west of the dryline and surface pressure trough the vertical-mixing term had a component normal and to the left of the surface wind in disagreement with Ekman theory. It is suggested that disagreements with Ekman theory may be due to baroclinic effects in the boundary layer. It is also shown that during the day both the westward component of the pressure gradient force and the ea.
Communication-Censored ADMM for Decentralized Consensus Optimization

In this paper, we devise a communication-efficient decentralized algorithm, named as communication-censored alternating direction method of multipliers (ADMM) (COCA), to solve a convex consensus optimization problem defined over a network. Similar to popular decentralized consensus optimization algorithms such as ADMM, at every iteration of COCA, a node exchanges its local variable with neighbors, and then updates its local variable according to the received neighboring variables and its local cost function. A different feature of COCA is that a node is not allowed to transmit its local variable to neighbors, if this variable is not sufficiently different to the previously transmitted one. The sufficiency of the difference is evaluated by a properly designed censoring function. Though this censoring strategy may slow down the optimization process, it effectively reduces the communication cost. We prove that when the censoring function is properly chosen, COCA converges to an optimal solution of the convex consensus optimization problem. Furthermore, if the local cost functions are strongly convex, COCA has a fast linear convergence rate. Numerical experiments demonstrate that, given a target solution accuracy, COCA is able to significantly reduce the overall communication cost compared to existing algorithms including ADMM, and hence fits for applications where network communication is a bottleneck.
The Great Arctic Outbreak and East Coast Blizzard of February 1899

Abstract An unprecedented period of extreme cold accompanied by an intense East Coast blizzard during February 1899 is documented through an examination of detailed surface weather charts constructed from original data. The surface weather analyses depict the passage of several anticyclones of Canadian or polar origin that propagated southward, spreading progressively colder temperatures throughout the central, eastern, and southern United States. This series of cold outbreaks culminated in the southward plunge of one final, massive anticyclone that yielded the coldest temperatures on record for much of the south-central and southeastern United States. The final cold wave was associated with the development of a cyclone that left measurable snow over most of the Gulf Coast and Florida and then produced severe blizzard conditions along much of the East Coast. To place this period in historical perspective, minimum temperatures recorded during February 1899 are compared with minimum temperatures measured du.
Conditional Droop Adjustment for Reliability-Oriented Power Sharing in Microgrids

Power electronic systems are facing the challenge to function more safely and reliably. Reliability-oriented power sharing is thereby employed in multi-converter systems to reduce the cost of end-of-life maintenance. One typical approach is to adaptively adjust the droop gains of the converters solely based on the accumulated damage to the power devices. However, this does not always hold throughout the entire loading profile, possibly ending up with a contradiction from higher reliability. Hence, this brief generalizes the reliability-oriented power sharing by necessitating the adjustment of active droop gains considering the nominal power. Two operation regions are formalized by the nominal point, where the adjustment goes into opposite directions. The principle is validated by short-term experiments and long-term simulations estimating the $B_{10}$ lifetime (10% probability of failure), revealing the improvement of system-level reliability especially under fluctuating loads or operator commands.
Incorporating Time-Invariant Covariates into the Pareto/NBD and BG/NBD Models

This note documents how to incorporate the effects of time-invariant covariates into the Pareto/NBD and BG/NBD models. It is assumed that the reader is familiar with the derivations of these models, as presented in Fader and Hardie (2005) and Fader et al. (2005). Let z1 be the vector of time-invariant covariates that are assumed to explain some of the cross-sectional heterogeneity in the purchasing process, and z2 be the vector of time-invariant covariates that are assumed to explain some of the cross-sectional heterogeneity in the dropout process. (While it will typically be the case that z1 = z2, this equality is not assumed in these derivations.) Note that since these covariates are specific to each individual, both z1 and z2 should have an individual-specific subscript i; this has been suppressed for notational convenience. The basic results are as follows:
Tropical savanna small mammals respond to loss of cover following disturbance: A global review of field studies

Small-mammal faunas of tropical savannas consist of endemic assemblages of murid rodents, small marsupials, and insectivores on four continents. Small mammals in tropical savannas are understudied compared to other tropical habitats and other taxonomic groups (e.g., Afrotropical megafauna or Neotropical rainforest mammals). Their importance as prey, ecosystem engineers, disease reservoirs, and declining members of endemic biodiversity in tropical savannas compels us to understand the factors that regulate their abundance and diversity. We reviewed field studies published in the last 35 years that examined, mostly experimentally, the effects of varying three primary endogenous disturbances in tropical savanna ecosystems—fire, large mammalian herbivory (LMH), and drought—on abundance and diversity of non-volant small mammals. These disturbances are most likely to affect habitat structure (cover or concealment), food availability, or both, for ground-dwelling small mammalian herbivores, omnivores, and insectivores. Of 63 studies (included in 55 published papers) meeting these criteria from the Afrotropics, Neotropics, and northern Australia (none was found from southern Asia), 29 studies concluded that small mammals responded (mostly negatively) to a loss of cover (mostly from LMH and fire); four found evidence of increased predation on small mammals in lower-cover treatments (e.g., grazed or burned). Eighteen studies concluded a combination of food- and cover-limitation explained small-mammal responses to endogenous disturbances. Only two studies concluded small-mammal declines in response to habitat-altering disturbance were caused by food limitation and not related to cover reduction. Evidence to date indicates that abundance and richness of small savanna mammals, in general (with important exceptions), is enhanced by vegetative cover (especially tall grass, but sometimes shrub cover) as refugia for these prey species amid a “landscape of fear,” particularly for diurnal, non-cursorial, and non-fossorial species. These species have been called “decreasers” in response to cover reduction, whereas a minority of small-mammal species have been shown to be “increasers” or disturbance-tolerant. Complex relationships between endogenous disturbances and small-mammal food resources are important secondary factors, but only six studies manipulated or measured food resources simultaneous to habitat manipulations. While more such studies are needed, designing effective ones for cryptic consumer communities of omnivorous dietary opportunists is a significant challenge.
Clustering of COVID-19 Multi-Time Series-Based K-Means and PCA With Forecasting

The COVID-19 pandemic is one of the current universal threats to humanity. The entire world is cooperating persistently to find some ways to decrease its effect. The time series is one of the basic criteria that play a fundamental part in developing an accurate prediction model for future estimations regarding the expansion of this virus with its infective nature. The authors discuss in this paper the goals of the study, problems, definitions, and previous studies. Also they deal with the theoretical aspect of multi-time series clusters using both the K-means and the time series cluster. In the end, they apply the topics, and ARIMA is used to introduce a prototype to give specific predictions about the impact of the COVID-19 pandemic from 90 to 140 days. The modeling and prediction process is done using the available data set from the Saudi Ministry of Health for Riyadh, Jeddah, Makkah, and Dammam during the previous four months, and the model is evaluated using the Python program. Based on this proposed method, the authors address the conclusions.
Interleaver technology review

Interleaver is one of the key components in the fiber optic communication systems. It provides a unique function of separating and combining two sets of WDM signals with very wide or very narrow channel spacing. This paper reviews the recent progress and future prospects of the interleaver technology, including birefringent interleaver, Gires-Tournois-Interferometer and all-fiber based interleaver technologies.
Collisional depolarization of molecular lines. Application to the SiO+H isotropic collisions

This paper reports the first theoretical study on the collisional depolarization and polarization transfer for rovibrational levels of diatomic molecules in the infinite-order-sudden approximation. As an application, we compute depolarization and polarization transfer rates for rotational levels $ J = 1$,. , 99 within the vibrational quantum numbers $v = 0$, 1, 2, 3 of the SiO molecules in collisions with neutral hydrogen atoms for temperatures $400 \le T \le 1500$ K. Analytical expressions of the collisional depolarizing rates of rovibrational levels as a function of local temperature and rotational number J are obtained. We note that the collisional depolarization rates decrease when J increases and that the fractional effect of the collisions on the J -levels can be characterized by a simple ratio. Especially for high J values, we find that alignment and population transfer rates between J to $J+1$ inside the same vibrational number v are higher than the elastic depolarizing rates. This work might help to gain more understanding of the role of isotropic collisions in the formation of the very interesting polarized lines of C 2 and MgH observed in the solar photosphere.
Mode field distribution of optical transmission along microfiber affected by CNT films with complex refraction index

Subwavelength diameter microfiber with carbon nanotube (CNT) cladding attracts wide attention for its significant effect on evanescent coupling and interaction. In this paper, the physical mechanism and spatial expression of the light field near CNT coated microfiber are analyzed by the electromagnetic calculation and mode field analysis experiments. The simulated and experimental results demonstrate that light field distribution along the CNT coated microfiber shows the resonant modes with intensity attenuation locating at ∼0 μm, 1.7 μm, 3.3 μm at the direction of core radius. The investigation about interaction between evanescent wave and CNT films will inspire the future application of CNT films and microfiber based lasers, all-optical switches, wavelength converters, sensors, and other integrated functional photonic devices.
Evaluation and Analysis of Absence of Homozygosity (AOH) Using Chromosome Analysis by Medium Coverage Whole Genome Sequencing (CMA-seq) in Prenatal Diagnosis

Objective: Absence of homozygosity (AOH) is a genetic characteristic known to cause human diseases mainly through autosomal recessive or imprinting mechanisms. The importance and necessity of accurate AOH detection has become more clinically significant in recent years. However, it remains a challenging task for sequencing-based methods thus far. Methods: In this study, we developed and optimized a new bioinformatic algorithm based on the assessment of minimum sequencing coverage, optimal bin size, the Z-score threshold of four types of allele count and the frequency for accurate genotyping using 28 AOH negative samples, and redefined the AOH detection cutoff value. We showed the performance of chromosome analysis by five-fold coverage whole genome sequencing (CMA-seq) for AOH identification in 27 typical prenatal/postnatal AOH positive samples, which were previously confirmed by chromosomal microarray analysis with single nucleotide polymorphism array (CMA/SNP array). Results: The blinded study indicated that for all three forms of AOH, including whole genomic AOH, single chromosomal AOH and segmental AOH, and all kinds of sample types, including chorionic villus sampling, amniotic fluid, cord blood, peripheral blood and abortive tissue, CMA-seq showed equivalent detection power to that of routine CMA/SNP arrays (750K). The subtle difference between the two methods is that CMA-seq is prone to detect small inconsecutive AOHs, while CMA/SNP array reports it as a whole. Conclusion: Based on our newly developed bioinformatic algorithm, it is feasible to detect clinically significant AOH using CMA-seq in prenatal diagnosis.
Quantum Machine Learning: A Review and Case Studies

Despite its undeniable success, classical machine learning remains a resource-intensive process. Practical computational efforts for training state-of-the-art models can now only be handled by high speed computer hardware. As this trend is expected to continue, it should come as no surprise that an increasing number of machine learning researchers are investigating the possible advantages of quantum computing. The scientific literature on Quantum Machine Learning is now enormous, and a review of its current state that can be comprehended without a physics background is necessary. The objective of this study is to present a review of Quantum Machine Learning from the perspective of conventional techniques. Departing from giving a research path from fundamental quantum theory through Quantum Machine Learning algorithms from a computer scientist’s perspective, we discuss a set of basic algorithms for Quantum Machine Learning, which are the fundamental components for Quantum Machine Learning algorithms. We implement the Quanvolutional Neural Networks (QNNs) on a quantum computer to recognize handwritten digits, and compare its performance to that of its classical counterpart, the Convolutional Neural Networks (CNNs). Additionally, we implement the QSVM on the breast cancer dataset and compare it to the classical SVM. Finally, we implement the Variational Quantum Classifier (VQC) and many classical classifiers on the Iris dataset to compare their accuracies.
New Insights into Plastid and Mitochondria Evolution in Wild Peas (Pisum L.)

Plastids and mitochondria are organelles of plant cells with small genomes, which may exhibit discordant microevolution as we earlier revealed in pea crop wild relatives. We sequenced 22 plastid and mitochondrial genomes of Pisum sativum subsp. elatius and Pisum fulvum using Illumina platform, so that the updated sample comprised 64 accessions. Most wild peas from continental southern Europe and a single specimen from Morocco were found to share the same organellar genome constitution; four others, presumably hybrid constitutions, were revealed in Mediterranean islands and Athos Peninsula. A mitochondrial genome closely related to that of Pisum abyssinicum, from Yemen and Ethiopia, was unexpectedly found in an accession of P. sativum subsp. elatius from Israel, their plastid genomes being unrelated. Phylogenetic reconstructions based on plastid and mitochondrial genomes revealed different sets of wild peas to be most related to cultivated P. sativum subsp. sativum, making its wild progenitor and its origin area enigmatic. An accession of P. fulvum representing ‘fulvum-b’ branch, according to a nuclear marker, appeared in the same branch as other fulvum accessions in organellar trees. The results stress the complicated evolution and structure of genetic diversity of pea crop wild relatives.
Septin Defects Favour Symmetric Inheritance of the Budding Yeast Deceptive Courtship Memory

Mnemons are prion-like elements that encode cellular memories of past cellular adaptations and do not spread to progenies during cell divisions. During the deceptive courtship in budding yeast, the Whi3 mnemon (Whi3mnem) condenses into a super-assembly to encode a mating pheromone refractory state established in the mother cell. Whi3mnem is confined to the mother cell such that their daughter cells have the ability to respond to the mating pheromone. Confinement of Whi3mnem involves its association with the endoplasmic reticulum membranes and the compartmentalization of these membranes by the lateral membrane diffusion barrier at the bud neck, the limit between the mother cell and the bud. However, during the first cell division after the establishment of the pheromone refractory state, this adaptation is more likely to be inherited by the daughter cell than in subsequent cell divisions. Here, we show that the first cell division is associated with larger daughter cells and cytokinesis defects, traits that are not observed in subsequent cell divisions. The cytoskeletal septin protein shows aberrant localisation in these divisions and the septin-dependent endoplasmic reticulum membrane diffusion barrier is weakened. Overall, these data suggest that cytokinesis defects associated with prolonged cell division can alter the confinement and inheritance pattern of a cellular memory.
Plant Metabolites Affect Fusarium proliferatum Metabolism and In Vitro Fumonisin Biosynthesis

Fusarium proliferatum is a common hemi-biotrophic pathogen that infect a wide range of host plants, often leading to substantial crop loss and yield reduction. F. proliferatum synthesizes various mycotoxins, and fumonisins B are the most prevalent. They act as virulence factors and specific effectors that elicit host resistance. The effects of selected plant metabolites on the metabolism of the F. proliferatum strain were analyzed in this study. Quercetin-3-glucoside (Q-3-Glc) and kaempferol-3-rutinoside (K-3-Rut) induced the pathogen’s growth, while DIMBOA, isorhamnetin-3-O-rutinoside (Iso-3-Rut), ferulic acid (FA), protodioscin, and neochlorogenic acid (NClA) inhibited fungal growth. The expression of seven F. proliferatum genes related to primary metabolism and four FUM genes was measured using RT-qPCR upon plant metabolite addition to liquid cultures. The expression of CPR6 and SSC1 genes was induced 24 h after the addition of chlorogenic acid (ClA), while DIMBOA and protodioscin reduced their expression. The transcription of FUM1 on the third day of the experiment was increased by all metabolites except for Q-3-Glc when compared to the control culture. The expression of FUM6 was induced by protodioscin, K-3-Rut, and ClA, while FA and DIMBOA inhibited its expression. FUM19 was induced by all metabolites except FA. The highest concentration of fumonisin B1 (FB1) in control culture was 6.21 µg/mL. Protodioscin did not affect the FB content, while DIMBOA delayed their synthesis/secretion. Flavonoids and phenolic acids displayed similar effects. The results suggest that sole metabolites can have lower impacts on pathogen metabolism and mycotoxin synthesis than when combined with other compounds present in plant extracts. These synergistic effects require additional studies to reveal the mechanisms behind them.
Case study: effects of low-stress weaning on calf growth performance and carcass characteristics

Abstract The objective of this study was to compare the influence of two low-stress weaning methods with conventional weaning on post-weaning performance and carcass characteristics of beef steers. Single-sourced steer calves (n = 89) were stratified by body weight (BW) and dam age into three groups in a completely randomized design (n = 29 or 30 steers/treatment): ABRUPT (calves isolated from dams on the day of weaning), FENCE (calves separated from dams via a fence for 7 d prior to completely weaning), and NOSE (nose-flap inserted and calves remained with dams for 7 d prior to completely weaning). At day +7 post-weaning, calves were transported to a commercial feedlot where they received standard step-up and finishing rations typical for a Northern Plains feedlot. BWs were recorded in study day −7 (PreTreat), 0 (Weaning), 7 (PostWean), 26 (Receiving), 175 (Ultrasound), and 238 or 268 (Final), and average daily gains (ADG) were calculated for each time period. Blood samples were collected via coccygeal venipuncture at d −7 (PreTreat), 0 (Weaning), and +7 (PostWean) from a subsample of calves (n = 10 per treatment) and analyzed for haptoglobin (acute-phase stress protein) concentrations using a bovine haptoglobin ELISA kit. On day 175, ultrasound fat thickness and intramuscular fat were determined and utilized to project marketing dates when steers reached 1.27 cm of backfat (day 238 or 268). Carcass measurements were recorded at the time of harvest. The weaning method interacted (P < 0.01) with a time period for ADG and BW. Calf ADG was greater (P < 0.01) in the NOSE treatment during PreTreat to Weaning than ABRUPT or FENCE. In the Weaning to PostWean period, the FENCE calves had greater (P < 0.01) ADG than ABRUPT and NOSE. During the Postwean to Receiving period ADG was greater (P < 0.04) for ABRUPT compared to FENCE and NOSE. Calf ADG was similar (P > 0.05) among treatments for the remainder of the feeding period. Calf BW did not differ among treatments (P > 0.05) at all times of weighing. Haptoglobin was undetectable in all samples except two samples collected on day −7. The weaning method did not influence (P > 0.05) carcass measurements. Collectively these data suggest low-stress weaning methods do not significantly improve post-weaning growth performance or carcass characteristics compared to using conventional methods despite minor, short-term alterations in ADG during the weaning period.