Miracle-dz/UniFAR-FTUs huggingface dataset:
The Genome of the Mitochondrion-Related Organelle in Cepedea longa, a Large Endosymbiotic Opalinid Inhabiting the Recta of Frogs

Mitochondrion-related organelles (MROs) are loosely defined as degenerated mitochondria in anaerobic and microaerophilic lineages. Opalinids are commonly regarded as commensals in the guts of cold-blooded amphibians. It may represent an intermediate adaptation stage between the conventional aerobic mitochondria and derived anaerobic MROs. In the present study, we sequenced and analyzed the MRO genome of Cepedea longa. It has a linear MRO genome with large inverted repeat gene regions at both ends. Compared to Blastocystis and Proteromonas lacertae, the MRO genome of C. longa has a higher G + C content and repeat sequences near the central region. Although three Opalinata species have different morphological characteristics, phylogenetic analyses based on eight concatenated nad genes indicate that they are close relatives. The phylogenetic analysis showed that C. longa clustered with P. lacertae with strong support. The 18S rRNA gene-based phylogeny resolved the Opalinea clade as a sister clade to Karotomorpha, which then further grouped with Proteromonas. The paraphyly of Proteromonadea needs to be verified due to the lack of MRO genomes for key species, such as Karotomorpha, Opalina and Protoopalina. Besides, our dataset and analyses offered slight support for the paraphyly of Bigyra.
The Aharonov-Bohm effect for massless Dirac fermions and the spectral flow of Dirac-type operators with classical boundary conditions

In topological terms, we compute the spectral flow of an arbitrary family of self-adjoint Dirac-type operators with classical (local) boundary conditions on a compact Riemannian manifold with boundary under the assumption that the initial and terminal operators of the family are conjugate by an automorphism of the bundle in which the operators act. We use this result to study conditions for the existence of a nonzero spectral flow of a family of self-adjoint Dirac-type operators with local boundary conditions in a two-dimensional domain with a nontrivial topology and discuss possible physical realizations of a nonzero spectral flow.
Why there is something rather than nothing (out of everything)?

The path integral over Euclidean geometries for the recently suggested density matrix of the Universe is shown to describe a microcanonical ensemble in quantum cosmology. This ensemble corresponds to a uniform (weight one) distribution in phase space of true physical variables, but in terms of the observable spacetime geometry it is peaked about complex saddle-points of the Lorentzian path integral. They are represented by the recently obtained cosmological instantons limited to a bounded range of the cosmological constant. Inflationary cosmologies generated by these instantons at late stages of expansion undergo acceleration whose low-energy scale can be attained within the concept of dynamically evolving extra dimensions. Thus, together with the bounded range of the early cosmological constant, this cosmological ensemble suggests the mechanism of constraining the landscape of string vacua and, simultaneously, a possible solution to the dark energy problem in the form of the quasi-equilibrium decay of the microcanonical state of the Universe.
Spin Calogero-Moser models on symmetric spaces.

In this paper we construct and prove superintegrability of spin Calogero-Moser type systems on symplectic leaves of $K_1\backslash T^*G/K_2$ where $K_1,K_2\subset G$ are subgroups. We call them two sided spin Calogero-Moser systems. One important type of such systems correspond to $K_1=K_2=K$ where $K$ is a subgroup of fixed points of Chevalley involution $\theta: G\to G$. The other important series of examples come from pair $G\subset G\times G$ with the diagonal embedding. We explicitly describe examples of such systems corresponding to symplectic leaves of rank one when $G=SL_n$.
Products of Beta distributed random variables

This is an expository note on useful expressions for the density function of a product of independent random variables where each variable has a Beta distribution. Q j=1 (uj) n (vj) n , where (a) n denotes the Pochhammer symbol ( a+n) ( a) . Such a densityf (x) can be expressed as a certain Meijer G-function, that is, a sum of generalized hypergeometric series, and as a power series in (1 −x) whose coefficients can be calculated by a recurrence. The former expression is pertinent for numerical computations for x near zero, while the latter is useful for x near 1. All the random variables considered here take values in (0,1), density functions are determined by their moments: for a random variable X we have P (X < a) = R a 0 f (x)dx for 0 ≤ a ≤ 1, and the expected value E (X
A multi-perspective approach of international tourist satisfaction in tourism service: from big data perspective

Purpose Customer reviews on online platforms after their service experience not only provide useful information to help other customers make reasonable decisions about the hotel, but also provide a great opportunity for scholars to refresh the research directions on customer experience and satisfaction in tourism services. This paper aims to discover the key driver of international tourist satisfaction in the hospitality service and the way to effectively improve this factor, starting with the abundant online customer reviews. Design/methodology/approach A multi-perspective approach was used to compare the differences in service providers and service user’s interpretation of the factors that shape customer satisfaction. In addition to content analysis of nearly 2,500 online reviews of international tourists for 21 high-class hotels in Vietnam on Booking.com in 2019, the authors conducted in-depth interviews with the managers of 5-star hotels to show a comprehensive picture of customer satisfaction drivers, especially the staff factor. Findings The research results have clarified the main aspects of the staff – the most important service factor among the seven hotel service factors investigated from the customer’s perspective. On the other hand, the study also emphasized the gap between customers’ perception of the staff and the enterprise’s efforts and implementation of this factor. These findings allowed to identify aspects of staff that could be further improved to more effectively satisfy customers and provide a superior experience. Research limitations/implications The study suggested a potential research direction using a multi-perspective approach to better understand trends and shifts in customer experience and satisfaction. Further studies could overcome the limitation of the research scope of this paper by examining different destinations or expanding the exploration of both mid-range and budget hotels. Practical implications The findings offer implications for managers to improve tourist satisfaction by developing organizational culture and mindfulness-related training programs for employees. Originality/value This study has enriched the literature of tourism and hospitality services by providing empirical evidence on the exploitation of big data sources and deepening the insights into international tourist satisfaction with hotel services.
A three-level linearized difference scheme for the coupled nonlinear fractional Ginzburg-Landau equation

In this paper, the coupled fractional Ginzburg-Landau equations are first time investigated numerically. A linearized implicit finite difference scheme is proposed. The scheme involves three time levels, is unconditionally stable and second-order accurate in both time and space variables. The unique solvability, the unconditional stability and optimal pointwise error estimates are obtained by using the energy method and mathematical induction. Moreover, the proposed second-order method can be easily extended into the fourth-order method by using an average finite difference operator for spatial fractional derivatives and Richardson extrapolation for time variable. Finally, numerical results are presented to confirm the theoretical results.
A gauge-theoretical approach to elasticity with microrotations

We formulate elasticity theory with microrotations using the framework of gauge theories, which has been developed and successfully applied in various areas of gravitation and cosmology. Following this approach, we demonstrate the existence of particle-like solutions. Mathematically, this is due to the fact that our equations of motion are of sine-Gordon type and thus have soliton-type solutions. Similar to Skyrmions and Kinks in classical field theory, we can show explicitly that these solutions have a topological origin.
Utility-Oriented Computation Scheduling for Energy-Efficient Mobile Edge Computing Networks

As a new computing paradigm, mobile edge computing (MEC) enables users to execute computation-intensive tasks at the network edge nodes (ENs) through computation offloading. Energy consumption of computation offloading is envisioned as a significant metric to satisfy the high quality of experience (QoE). In multi-ENs MEC networks, computation scheduling and power control of each user is tightly coupled with task offloading. Moreover, due to the stochastic task arrivals and unknown wireless channel conditions, it is challenging to allocate resources for efficient offloading without prior information of tasks and channels. In this paper, we propose an individualized utility metric of each user. We formulate the problem of computation scheduling and power control of each user as a stochastic optimization problem. We aim to maximize the long-term averaged utility quality of all users by jointly optimizing the computation scheduling, task-partition factor and power control. We use Lyapunov optimization technique to convert the long-term stochastic problem into a series of deterministic sub-problems in each time slot. We propose an online algorithm for utility quality maximization (OAUQM). The asymptotic optimality and queue stability of our algorithm are analyzed. Experimental simulations are conducted to evaluate the performance of the proposed algorithm against the benchmark offloading algorithms in terms of utility quality and energy consumption.
Conjectures and experiments concerning the moments of $L(1/2,\chi_d)$

We report on some extensive computations and experiments concerning the moments of quadratic Dirichlet $L$-functions at the critical point. We computed the values of $L(1/2,\chi_d)$ for $- 5\times 10^{10} < d < 1.3 \times 10^{10}$ in order to numerically test conjectures concerning the moments $\sum_{|d|<X} L(1/2,\chi_d)^k$. Specifically, we tested the full asymptotics for the moments conjectured by Conrey, Farmer, Keating, Rubinstein, and Snaith, as well as the conjectures of Diaconu, Goldfeld, Hoffstein, and Zhang concerning additional lower terms in the moments. We also describe the algorithms used for this large scale computation.
Critical behavior in Angelesco ensembles

We consider Angelesco ensembles with respect to two modified Jacobi weights on touching intervals [a, 0] and [0, 1], for a < 0. As a → −1 the particles around 0 experience a phase transition. This transition is studied in a double scaling limit, where we let the number of particles of the ensemble tend to infinity while the parameter a tends to −1 at a rate of O(n−1/2). The correlation kernel converges, in this regime, to a new kind of universal kernel, the Angelesco kernel K Ang . The result follows from the Deift/Zhou steepest descent analysis, applied to the Riemann-Hilbert problem for multiple orthogonal polynomials.
Derived Ramanujan Primes : R'_{n}

We study the Ramanujan-prime-counting function along the lines of Ramanujan's original work on Bertrand's Postulate. We show that the number of Ramanujan primes between x and 2x tends to infinity with x. This analysis leads us to define a new sequence of prime numbers, which we call derived Ramanujan primes. For n greater than or equal to 1 we define the nth derived Ramanujan prime as the smallest positive integer with the property that if x is greater than or equal to the nth derived Ramanujan prime, then the number of Ramanujan primes in the interval from x to x/2 is greater than or equal to n. As an application of the existence of derived Ramanujan primes, we prove analogues for Ramanujan primes of Richert's Theorem and Greenfield's Theorem for primes. We give some new inequalities for both the prime-counting function and for the Ramanujan-prime-counting function. Following the recent works of Sondow and Laishram on the bounds of Ramanujan primes, we analyze the bounds of derived Ramanujan primes. Finally, we give another proof of the theorem of Amersi, Beckwith, Miller, Ronan and Sondow.
Systems of dyadic cubes in a doubling metric space

A number of recent results in Euclidean Harmonic Analysis have exploited several adjacent systems of dyadic cubes, instead of just one fixed system. In this paper, we extend such constructions to general spaces of homogeneous type, making these tools available for Analysis on metric spaces. The results include a new (non-random) construction of boundedly many adjacent dyadic systems with useful covering properties, and a streamlined version of the random construction recently devised by H. Martikainen and the first author. We illustrate the usefulness of these constructions with applications to weighted inequalities and the BMO space; further applications will appear in forthcoming work.
A SIMPLE PROOF OF THE BICHTELER-DELLACHERIE THEOREM

We give a short and rather elementary proof of the celebrated Bichteler-Dellacherie Theorem, which states that a process S is a good inte- grator if and only if it is the sum of a local martingale and a finite-variation process. As a corollary, we obtain a characterization of semimartingales along the lines of classical Riemann integrability. In this paper we provide a short proof of the Bichteler-Dellacherie theorem, which basically asserts that one can integrate with respect to a process S iff S is a semimartingale, i.e., the sum of a local martingale and a finite-variation process. The Doob-Meyer decomposition theorem leads to the following reformulation: a bounded process allows for a good integration theory iff it is (locally) the difference of two submartingales. This is analogous to the deterministic case, where one can integrate with respect to a function f iff f can be written as a difference of two increasing functions. We find that this analogy is sound, as the simple proof in the deterministic set-up can be reinterpreted to establish the Bichteler-Dellacherie theorem in full generality. As a corollary, we obtain that semimartingales can be characterized by Riemann- sums in the following way: a cadlag adapted process (St)t∈(0,1) is a semimartingale iff for every bounded adapted continuous process H the sequence of Riemann-sums 2 n −1 X i=0 H i 2n (S i+1 2n − S i 2n )
Comparative Metabolomic Profiling of the Metabolic Differences of Δ9-Tetrahydrocannabinol and Cannabidiol

More than one hundred cannabinoids have been found in cannabis. Δ9-Tetrahydrocannabinol (THC) is the recognized addictive constituent in cannabis; however, the mechanisms underlying THC-induced toxicity remain elusive. To better understand cannabis-induced toxicity, the present study compared the metabolic pathways of THC and its isomer cannabidiol (CBD) in human and mouse liver microsomes using the metabolomic approach. Thirty-two metabolites of THC were identified, including nine undescribed metabolites. Of note, two glutathione (GSH) and two cysteine (Cys) adducts were found in THC’s metabolism. Molecular docking revealed that THC conjugates have a higher affinity with GSH and Cys than with the parent compound, THC. Human recombinant cytochrome P450 enzymes, and their corresponding chemical inhibitors, demonstrated that CYP3A4 and CYP1B1 were the primary enzymes responsible for the formation of THC-GSH and THC-Cys, thus enabling conjugation to occur. Collectively, this study systematically compared the metabolism of THC with the metabolism of CBD using the metabolomic approach, which thus highlights the critical role of metabolomics in identifying novel drug metabolites. Moreover, this study also facilitates mechanistic speculation in order to expand the knowledge of drug metabolism and safety.
Machine Learning Approaches for Radio Propagation Modeling in Urban Vehicular Channels

The use of vehicular communications is anticipated to improve safety in road traffic. The traditional radio channel models that describe the effects of radio wave propagation in dynamic vehicular environments have their own limitations. In this paper, machine learning (ML) techniques are applied for radio channel modeling in urban vehicular environments. A large data set of path loss (PL) and root-mean-square Delay spread (RMS-DS) is computed using ray-tracing for a Line-of-Sight (LOS) straight road and a Non-Line-of-Sight (NLOS) intersection road scenario. Fourteen input features are used to train three ML models for vehicular channel prediction. The models considered in this work include Multi-Layer Perceptron (MLP), Convolutional Neural Network (CNN), and Random Forest (RF). The results show that RF gives better performance than MLP and CNN models in the prediction of PL and RMS-DS in urban vehicular channels.
Propionibacteriaium acidipropionici CP 88 Dose Alters In Vivo and In Vitro Ruminal Fermentation Characteristics

Twelve 5-year-old beef steers, with an average weight of 2000 lbs. , fitted with rumen canulae were used in a 4 × 4 incomplete Latin square design to examine the impact of the direct fed microbial Propionibacterium acidipropionici CP 88 (PA) on rumen fermentation characteristics, in vitro CH4, CO2, and N2 production, and in vivo CH4 and CO2 production. All steers were housed in the same pen equipped with eight GrowSafe feeding stations to monitor individual animal feed intake and one GreenFeed System to estimate individual animal CH4 and CO2 production. Steers were fed a corn-silage-based diet throughout the experiment. Treatments consisted of PA administered at: (1) control (0.0); (2) 1.0 × 108; (3) 1.0 × 109; and (4) 1.0 × 1010 cfu∙animal−1∙day (d)−1. Treatments were administered directly into the rumen as a single bolus dose daily. On day 7 and 14 of each period, rumen fluid was collected from each steer 2 h post treatment administration for VFA analysis and in vitro DM digestibility determination. Following a 14 d washout period, animal treatments were switched and the experiment repeated until the 4 × 4 Latin square was complete. In vivo propionic acid molar proportions and total VFA concentrations were greater (p < 0.05) in steers receiving PA when compared with controls. All other in vivo rumen fermentation characteristics were similar across treatments. In vitro DM disappearance (p < 0.05) and total VFA (p < 0.05) were greater and CH4 lesser (p < 0.04) in fermentation vessels incubated with rumen fluid from animals receiving PA when compared with controls. Dry matter disappearance (p < 0.03) and propionic acid molar proportions increased (p < 0.04) linearly as the dose of PA increased. In vitro total VFA tended (p < 0.08) to increase linearly and CH4 production per unit of DM digested tended (p < 0.09) to decrease quadratically in response to PA dose. All other in vitro rumen fermentation characteristics were similar across treatments. These data indicate that PA impacts in vivo and in vitro rumen fermentation characteristics.
Research on Nickel-Cobalt-Copper Productive Collaboration and Intelligent Decision-Making Technology in Symbiotic Coupling Enterprises

This study investigates the research on nickel-cobalt-copper productive collaboration and intelligent decision-making technology for symbiotic coupling enterprises in the Gansu Province of China. The aim is to address the problems of low resource utilization efficiency, weak production collaboration, and an insufficient intelligent decision-making level in the nonferrous metallurgy industry. First, the present situation of nickel-cobalt-copper industry chain-level collaboration in the agglomeration area is analyzed extensively, and the corresponding problems are proposed. Second, the functional framework of productive collaboration and intelligent decision-making is presented from the industrial chain and industrial agent levels. In addition, the design methods of various balance strategies in the production collaboration within the industrial agent are provided. These can realise the daily balance of material, metal, and energy data in an individual industrial agent. Finally, with regard to intelligent decision-making at the industrial chain level, six key measures surrounding different themes are provided to support the implementation of productive collaboration and intelligent decision-making in the nonferrous metallurgy agglomeration area.
Influence of dissipation on the extraction of quantum states via repeated measurements

A quantum system put in interaction with another one that is repeatedly measured is subject to a nonunitary dynamics, through which it is possible to extract subspaces. This key idea has been exploited to propose schemes aimed at the generation of pure quantum states (purification). All such schemes have so far been considered in the ideal situations of isolated systems. In this paper, we analyze the influence of non-negligible interactions with environment during the extraction process, with the scope of investigating the possibility of purifying the state of a system in spite of the sources of dissipation. A general framework is presented and a paradigmatic example consisting of two interacting spins immersed in a bosonic bath is studied. The effectiveness of the purification scheme is discussed in terms of purity for different values of the relevant parameters and in connection with the bath temperature.
Cohomology of real Grassmann manifold and KP flow

We consider a realization of the real Grassmann manifold Gr(k,n) based on a particular flow defined by the corresponding (singular) solution of the KP equation. Then we show that the KP flow can provide an explicit and simple construction of the incidence graph for the integral cohomology of Gr(k,n). It turns out that there are two types of graphs, one for the trivial coefficients and other for the twisted coefficients, and they correspond to the homology groups of the orientable and non-orientable cases of Gr(k,n) via the Poincare-Lefschetz duality. We also derive an explicit formula of the Poincare polynomial for Gr(k,n) and show that the Poincare polynomial is also related to the number of points on a suitable version of Gr(k,n) over a finite field $\F_q$ with q being a power of a prime. In particular, we find that the number of $\F_q$ points on Gr(k,n) can be computed by counting the number of singularities along the KP flow.
On Calabi-Yau generalized complete intersections from Hirzebruch varieties and novel K3-fibrations

We consider the construction of Calabi-Yau varieties recently generalized to where the defining equations may have negative degrees over some projective space factors in the embedding space. Within such "generalized complete intersection" Calabi-Yau ("gCICY") three-folds, we find several sequences of distinct manifolds. These include both novel elliptic and K3-fibrations and involve Hirzebruch surfaces and their higher dimensional analogues. En route, we generalize the standard techniques of cohomology computation to these generalized complete intersection Calabi-Yau varieties.