Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Different Comonomers Added to Graft Copolymers on the Properties of PLA/PPC/PLA-g-GMA Blends

The melt-free radical grafting of glycidyl methacrylate (GMA) onto poly (lactic acid) (PLA) with styrene (St), α-methylstyrene (AMS), and epoxy resin (EP) as comonomers in a twin-screw extruder was used to prepare PLA-g-GMA graft copolymers. The prepared graft copolymers were then used as compatibilizers to prepare PLA/PPC/PLA-g-GMA blends by melt blending with PLA and polypropylene carbonate (PPC), respectively. The effects of different comonomers in the PLA-g-GMA graft copolymers on the thermal, rheological, optical, and mechanical properties and microstructure of the blends were studied. It was found that the grafting degree of PLA-g-GMA graft copolymers was increased to varying degrees after the introduction of comonomers in the PLA-g-GMA grafting reaction system. When St was used as the comonomer, the grafting degree of the PLA-g-GMA graft copolymer increased most significantly, from 0.8 to 1.6 phr. St as a comonomer also most improved the compatibility between PLA and PPC, and the haze of the blends was reduced while maintaining high transmittance. In addition, the PLA-g-GMA graft copolymer with the introduction of St as a comonomer significantly improved the impact toughness of the blends, while the thermal stability and tensile strength of the blends remained largely unchanged.
Mass functions in fractal clouds: the role of cloud structure in the stellar initial mass function

The possibility that the stellar initial mass function (IMF) arises mostly from cloud structure is investigated with fractal Brownian motion (fBm) clouds that have power-law power spectra. An fBm cloud with a realistic projected power spectrum slope of β = 2.8 is found to have a mass function for clumps exceeding a threshold density that is a power law with a slope of α = 2.35, the same as in the Salpeter IMF. Any hierarchically structured cloud has a clump mass function with about the same slope. This result implies that turbulent interstellar clouds produce dense substructure with the observed pre-stellar core mass function built in from the start. Details of the clump formation processes are not critical. The conversion of clumps into stars involves a second step. A one-to-one correspondence between clump mass and star mass is not necessary to convert the clump mass spectrum into an IMF with the same power-law slope. As long as clumps have an internal stellar IMF from sub-fragmentation, protostellar accretion, coalescence and other processes, and the characteristic mass for this internal IMF scales with the clump mass, then the IMF slope above the minimum characteristic mass will equal the clump mass slope. A detailed review of IMF models illustrates the prominence of cloud structure as a major component in a wide class of theories. Tests are proposed to determine the relative importance of cloud structure and competitive accretion in the IMF.
The Analysis of Means: A Graphical Method for Comparing Means, Rates, and Proportions

Chapter 8 discusses the minimax principle to deriving optimal tests with guaranteed power over a subset of the alternative hypothesis space. Chapter 9 is an addition to the third edition of TSH. A thorough look at multiple comparisons testing is presented, including some recent optimality results. This is certainly an appropriate topic choice as multiple testing remains an active research area. Lehmann and Romano provide an excellent overview of the subject. The form of the presentation blends seamlessly with chapters initially written many years earlier. The third edition of TSH is divided into two parts. Part I, “Small-Sample Theory,” concludes with Chapter 10, on conditional inference. A definitive solution to the problem of how one should interpret results from conditional tests has not been reached. Lehmann and Romano present the issues but do not choose a side. Part II treats large-sample theory of hypothesis testing and represents the major addition to the third edition of TSH. Part II consists of five chapters. Chapter 11 is basic large-sample theory. The sections covering the ideas of asymptotic optimality and basic convergence concepts are a most welcome reference. Large-sample topics from earlier chapters of the second edition have been moved to Chapter 11 in the third edition. Chapter 12 introduces the mathematics behind quadratic mean differentiability and sets the stage for a presentation of efficient likelihood inference such as Wald tests, Rao score tests, and likelihood ratio tests. The Preface to the second edition of TSH stated that “the most important omission is an adequate treatment of optimality paralleling that given for estimation in Theory of Point Estimation. ” Chapter 13 covers large-sample optimality and corrects this omission. Chapter 14 considers testing goodness-of-fit. Typical of all material from TSH, this chapter contains a wealth of interesting and important applications. Lehmann and Romano conclude with Chapter 15 covering large-sample methods for permutation and randomization tests, including the bootstrap. The quality of the new material alone justifies the publication of a third edition to a book already well studied. As readers of the earlier editions have come to expect, TSH contains an enormous number of examples, problems, and ideas. The writing and presentation are excellent. The historical impact of Testing Statistical Hypotheses and Theory of Point Estimation on the graduate curriculum is undeniable. One certainly cannot expect the same impact from the release of the third edition of TSH. Since the earlier editions, the literature has moved forward with advances in statistical computing, biostatistics, and applied Bayesian statistics, among other areas, leading to an increasingly crowded list of important topics for graduate study. It will be interesting to see where this impressive work finds itself in the curriculum over the next decade.
Review on Cost of Anti-Glaucoma Formulation Available in India

The objective of the present work was to determine cost per annum of various glaucoma formulation to patients and plot changes in trends of cost these formulations over years. Main purpose of this study is to provide patients and health care providers with calculated yearly costs of topical glaucoma medications in India. A price per ml model was used to eradicate difference due to pack size of formulation of different brands. And average prices per ml of all studied brands were used to present data of particular drug formulation. Daily recommended drops were also taken into consideration to obtain cost of formulation to patient per year. And results indicated that cost of glaucoma treatment in India per annum to patient varied from as low as 193.3 INR to as high as 6616.72 INR in year 2015, quite similar to that in 2005 wherein cost per annum to patient varied from 191.55 INR to 5879.12 INR. Beta blockers were reported to be the most economical group of glaucoma medications while prostaglandin analogues and its combinations were reported to be expensive group of glaucoma medications. And the study concluded that cost of glaucoma drug therapy varies from few hundred to several thousand rupees in India. And although price per annum of glaucoma medication in India remains to be significantly less compared to other developed countries, steep rising cost first line drugs like timolol maleate over the years forecasts risings concern to patient in India.
Time-delayed quantum coherent Pyragas feedback control of photon squeezing in a degenerate parametric oscillator

Quantum coherent feedback control is a measurement-free control method fully preserving quantum coherence. In this paper we show how time-delayed quantum coherent feedback can be used to control the degree of squeezing in the output field of a cavity containing a degenerate parametric oscillator. We focus on the specific situation of Pyragas-type feedback control where time-delayed signals are fed back directly into the quantum system. Our results show how time-delayed feedback can enhance or decrease the degree of squeezing as a function of time delay and feedback strength.
Improved Trimethylangelicin Analogs for Cystic Fibrosis: Design, Synthesis and Preliminary Screening

A small library of new angelicin derivatives was designed and synthesized with the aim of bypassing the side effects of trimethylangelicin (TMA), a promising agent for the treatment of cystic fibrosis. To prevent photoreactions with DNA, hindered substituents were inserted at the 4 and/or 6 positions. Unlike the parent TMA, none of the new derivatives exhibited significant cytotoxicity or mutagenic effects. Among the synthesized compounds, the 4-phenylderivative 12 and the 6-phenylderivative 25 exerted a promising F508del CFTR rescue ability. On these compounds, preliminary in vivo pharmacokinetic (PK) studies were carried out, evidencing a favorable PK profile per se or after incorporation into lipid formulations. Therefore, the selected compounds are good candidates for future extensive investigation to evaluate and develop novel CFTR correctors based on the angelicin structure.
Properties of outflow‐driven sawtooth substorms

The mechanisms by which ionospheric O+ stretches the plasma sheet causing variations in polar cap flux during magnetospheric sawtooth substorms are investigated using the multi‐fluid Lyon‐Fedder‐Mobarry simulation code. O+ outflow is induced in the simulation by Alfvénic Poynting flux flowing to low altitude during the sawtooth expansion and growth phases. The O+ fluid populates the plasma sheet and causes it to stretch tailward in response to the increased mass density. The ionospheric outflow thus functions as a feedback loop in the magnetosphere‐ionosphere system wherein O+ ions released during the expansion phase alter the magnetospheric configuration and enable the development of the next substorm. We also find that the nightside reconnection rate is strongly dependent on the position of the tail merging line. As the x‐line moves tailward, the inflow speed and magnetic field strength are reduced, creating an imbalance between dayside and nightside merging. This imbalance is responsible for the buildup and release of open magnetic flux in the magnetosphere during the sawtooth cycle.
Serum Biomarkers for the Detection of Cardiac Dysfunction in Childhood Cancers Receiving Anthracycline-Based Treatment

Anthracyclines are routinely used in cancer chemotherapy in many childhood cancers. A serious adverse effect of doxorubicin chemotherapy is cardiotoxicity which may lead to congestive heart failure for long-term survivors years after treatment. Currently, echocardiography is used to control the heart function during anthracyclines therapy. B-type natriuretic peptide (BNP) and NT-proBNP as well as cardiac troponins have been proposed as clinical markers for subclinical anthracycline-induced cardiotoxicity. The BNP and pro-BNP can be easily measured in plasma and initial data indicate that the NT-proBNP could be sensitive predictor for the development of congestive heart failure.
Pricing FX Options in the Heston/CIR Jump-Diffusion Model with Log-Normal and Log-Uniform Jump Amplitudes

We examine foreign exchange options in the jump-diffusion version of the Heston stochastic volatility model for the exchange rate with log-normal jump amplitudes and the volatility model with log-uniformly distributed jump amplitudes. We assume that the domestic and foreign stochastic interest rates are governed by the CIR dynamics. The instantaneous volatility is correlated with the dynamics of the exchange rate return, whereas the domestic and foreign short-term rates are assumed to be independent of the dynamics of the exchange rate and its volatility. The main result furnishes a semianalytical formula for the price of the foreign exchange European call option.
Quasinormal modes and hidden conformal symmetry of warped dS(3) black hole

In this paper, we analytically calculate the quasinormal modes of scalar, vector, tensor, and spinor perturbations of the warped dS(3) black hole. There are two horizons for the warped dS(3) black hole, namely, the black hole horizon r(b) and the cosmological horizon r(c). In the calculation, we impose the ingoing boundary condition at the black hole horizon and the outgoing boundary condition at the cosmological horizon. We also investigate the hidden conformal symmetry of the warped dS(3) black hole in the region between the black hole horizon and the cosmological horizon r(b) < r < r(c). We use the hidden conformal symmetry to construct the quasinormal modes in an algebraic way and find that the results agree with the analytically ones. It turns out that the frequencies of the quasinormal modes could be identified with the poles in the thermal boundary-boundary correlators.
Topological aspect of disclinations in two-dimensional melting

By using topological current theory, we study the inner topological structure of disclinations during the melting of two-dimensional systems. From two-dimensional elasticity theory, it is found topological currents for topological defects in homogeneous equation. The evolution of disclinations is studied, and the branch conditions for generating, annihilating, crossing, splitting, and merging of disclinations are given.
Snap, Crackle, Pop: sub-grid supernova feedback in AMR simulations of disc galaxies

We compare five sub-grid models for supernova (SN) feedback in adaptive mesh refinement (AMR) simulations of isolated dwarf and L-star disc galaxies with 20–40 pc resolution. The models are thermal dump, stochastic thermal, ‘mechanical’ (injecting energy or momentum depending on the resolution), kinetic and delayed cooling feedback. We focus on the ability of each model to suppress star formation and generate outflows. Our highest resolution runs marginally resolve the adiabatic phase of the feedback events, which correspond to 40 SN explosions, and the first three models yield nearly identical results, possibly indicating that kinetic and delayed cooling feedback converge to wrong results. At lower resolution all models differ, with thermal dump feedback becoming inefficient. Thermal dump, stochastic and mechanical feedback generate multiphase outflows with mass loading factors β ≪ 1, which is much lower than observed. For the case of stochastic feedback, we compare to published SPH simulations, and find much lower outflow rates. Kinetic feedback yields fast, hot outflows with β ∼ 1, but only if the wind is in effect hydrodynamically decoupled from the disc using a large bubble radius. Delayed cooling generates cold, dense and slow winds with β > 1, but large amounts of gas occupy regions of temperature–density space with short cooling times. We conclude that either our resolution is too low to warrant physically motivated models for SN feedback, that feedback mechanisms other than SNe are important or that other aspects of galaxy evolution, such as star formation, require better treatment.
A Low-Cost Miniaturized Filtering Dielectric Resonator Antenna Based on SISL for 5G Applications

To realize a low-cost, miniaturized, and high selective design, the filtering dielectric resonator antenna (FDRA) for 5G applications is first proposed based on the substrate-integrated suspended line (SISL). The FDRA consists of two same rectangular DRs embedded in air cavities, which are fixed by the hollowed substrate rings. A T-shape feeder, rectangular feeder, and metalized holes are introduced to excite the fundamental ${\mathrm {TE}}_{\delta 11}^{x}$ mode of DRA. The substrate rings and DR are regarded as a composite dielectric to miniaturize the antenna and have effects on the radiation nulls. Because of the different loading effects from the different feeders, the resonance frequency of the ${\mathrm {TE}}_{\delta 11}^{x}$ mode excited by the different feeders is slightly different. Therefore, a wide bandwidth can be achieved. In the hybrid feed scheme, three radiation nulls are introduced near the edge of the frequency band without an extra filtering circuit. To improve the suppression level, the effective size of the radiator is increased by increasing the width of the substrate rings without changing the size of the whole structure. Therefore, two prototype antennas with different widths of substrate rings are designed, manufactured, and measured. Good agreement can be observed between simulated and measured results.
Highly Compact Integrated Sub-6 GHz and Millimeter-Wave Band Antenna Array for 5G Smartphone Communications

In this article, a dual-band integrated compact phased-antenna array is proposed for fifth-generation (5G) smartphone communication. The proposed single-layered substrate-based antenna array has a dual band, wideband, high gain, and wide beam-steering function. The dual bands were achieved by passive integration of meandered lines and a microstrip patch antenna using a dual-stub-based filter. Owing to the small size of the antenna array (56.65 mm <inline-formula> <tex-math notation="LaTeX">$\times4.95$ </tex-math></inline-formula> mm <inline-formula> <tex-math notation="LaTeX">$\times0.508$ </tex-math></inline-formula> mm), it was installed on both the top and side metal frames of a smartphone in a vertical position, allowing a wide beam coverage with a high gain. The proposed antenna provided the −6 dB bandwidths of 250 and 3520 MHz at 3.5 and 28 GHz, and the −10 dB bandwidths of 110 and 1890 MHz were observed at 3.5 and 28 GHz, respectively. The radiation performance with a smartphone model and a hand phantom were analyzed in detail. Furthermore, a safety study on the power density (PD) and specific absorption rate (SAR) of the arrays with frequency-dependent hand and head models was conducted. Finally, we fabricated an antenna array prototype, and compared the measured results with the simulation results, which showed a good agreement.
A Fast Analytical Two-Stage Initial-Parameters Estimation Method for Monocular-Inertial Navigation

The integrated navigation of the visual and the inertial measurement is becoming a research hotspot in the field of autonomous driving and intelligent navigation. The fusion of heterogeneous sensors can effectively compensate for the deficiency of a single sensor. Therefore, developing a visual-inertial calibration algorithm with good real-time performance, high accuracy, and strong robustness is an urgent issue. The analytical solution-based algorithm can effectively avoid locally optimal solutions during the calibration process and significantly increase the real-time of the system but achieves low accuracy, while the iterative-based calibration algorithm can get high accuracy but sacrifice the running time. In this article, a fast analytical two-stage initial-parameters estimation method for monocular-inertial navigation is proposed. The proposed method introduces the analytical solution method to provide the initial IMU calibration value and avoid the time-consuming problem caused by repeated iteration. In order to solve the problem that the initial estimate value is not accurate, this article adopts the coarse-to-fine strategy, takes the result of the analytical solution as the initial value, constructs the disturbance-related constraints of the parameters, and further improves the precision of the calibration parameters. Furthermore, the proposed method also realizes the online extrinsic transformation calibration, which improves the environmental adaptability of the system. A large number of public datasets experiments, real-world experiments, and comparative experiments prove that the proposed algorithm has a significant improvement in the initialization time and also improves the calibration accuracy to a certain extent, realizing the global sense of real-time online calibration.
Faktor yang Memengaruhi Konsumsi Energi Listrik Rumah Tangga pada Masa Pandemi COVID-19 (Studi Kasus: Rusunawa di Jakarta Timur)

Abstrak—Pandemi COVID-19 mengubah perilaku masyarakat akibat adanya penerapan kebijakan pembatasan sosial dari pemerintah berdampak terhadap peningkatan demand konsumsi energi listrik sektor rumah tangga. Tanpa adanya pengurangan yang signifikan dalam permintaan listrik dan peningkatan efisiensi energi menyebabkan sulitnya menurunkan emisi karbon dioksida (CO2) dan mengurangi risiko perubahan iklim global. Program Jakarta Green Building dengan target penghematan energi listrik sebesar 3.785 GWh pada tahun 2030 menjadi salah satu pertimbangan bagaimana rumah susun pemerintah sebagai salah satu bentuk bangunan vertikal berkontribusi dalam pemenuhan demand energi. Di satu sisi, adanya pandemi juga memberikan dampak perekonomian yang berpotensi mempengaruhi ability to pay konsumsi listrik rumah tangga sehingga belum diketahui apakah terdapat pengaruh yang berbeda dalam perilaku konsumsi energi listrik selama pandemi ini. Penelitian ini bertujuan untuk menentukan faktor-faktor apa saja yang mempengaruhi konsumsi energi listrik rumah tangga rusunawa di Jakarta Timur. Dalam mencapai tujuan tersebut, penulis melakukan 2 tahap analisis. Tahap pertama menentukan tipologi cluster dari 15 rusunawa yang terdapat di Jakarta Timur dan menentukan sampel rusunawa yang diambil untuk dilakukan penyebaran kuesioner penghuni. Tahap kedua peneliti menentukan faktor-faktor yang mempengaruhi konsumsi energi listrik rumah tangga dengan metode regresi linear berganda. Hasil dari penelitian ini didapatkan bahwa dari 15 rusunawa yang tersebar di Jakarta Timur, hanya terdapat 2 jenis tipologi rusunawa yaitu rusunawa 6 lantai berbentuk blok beton dengan jumlah 10 rusunawa dan 16 lantai berbentuk tower semi-apartemen dengan jumah 5 rusunawa. Meskipun terdapat perbedaan jenis rusunawa, namun kedua kelompok rusunawa tersebut masing-masing memilik faktor signifikan konsumsi energi listrik rumah tangga yang sama, yaitu jumlah penghuni dan jumlah kepemilikan alat listrik.
A Multi-objective Model for the Location of the Emergency Facilities and the Selection of the Rescue Path Based on the Restoration of the Damaged Edges

: In this paper, an equivalence theorem is given, that is, in a weighted graph, the maximum value of the minimum edge weights of all minimal edge cut sets between two points is equal to the minimum value of the maximum edge weights of all paths between the two points. On this basis, the recovery time between two points in the network is defined from the perspective of the minimal edge cut set and the path, respectively, and the equivalence of the two definitions is shown. Two models are established to optimize the partial recovery of network functions, by taking the damaged road network after the earthquake as the scene, based on the definition of the network recovery time and the total network time. Model 1 includes three objective functions, which are the sum of the failure levels between all pairs of the demand points and the facilities serving them, the total network time and the total cost. Different priorities were set for solving these three objectives. Since such a hierarchical model is not conducive to the optimization of the objective functions with lower priorities, model 1 is modified appropriately. The sum of the failure levels is combined with the total network time into an integrated objective function by weighting, and the minimization of this new function is taken as the highest-priority objective and the minimization of the total cost is taken as the secondary-priority objective, in order to achieve the balance between the sum of the failure levels and the total network time. Thus, model 2 is obtained. A case study is used to test the two models and verify their effectiveness.