Miracle-dz/UniFAR-FTUs huggingface dataset:
Revealing exciton dephasing and transport dynamics in semiconductor quantum well - quantum dot systems using optical 2D Fourier transform spectroscopy

Exciton dephasing and relaxation dynamics are studied in a GaAs quantum dot ensemble using optical twodimensional Fourier transform spectroscopy. We measure the temperature and excitation-density dependence of the exciton ground-state homogeneous lineshape of quantum dots within the ensemble and show that acoustic phonon sidebands are absent. The linewidth increases nonlinearly with temperature from 6 to 50 K and the behavior is well-described by an Arrhenius equation with an offset. The absence of a phonon-activation peak in the spectra reveals that elastic exciton-phonon scattering is the primary dephasing mechanism and the results can be explained qualitatively using an extension of the independent Boson model that includes quadratic coupling in the phonon displacement coordinates. At temperatures ≥ 35 K, spectral features associated with phonon-assisted population transfer of excitons out of the quantum dots and into quantum wells states begin to appear.
Leading-order relativistic and radiative corrections to the rovibrational spectrum of H 2 + and H D + molecular ions

High-precision variational calculations for the rovibrational states in the range of the total orbital momentum $L=0--4$ and vibrational quantum number $v=0--4$ for the $\mathrm{H}_{2}{}^{+}$ and $\mathrm{H}{\mathrm{D}}^{+}$ molecular ions are presented. Relativistic and radiative corrections of orders ${R}_{\ensuremath{\infty}}{\ensuremath{\alpha}}^{2}$, ${R}_{\ensuremath{\infty}}{\ensuremath{\alpha}}^{2}(m∕M)$, ${R}_{\ensuremath{\infty}}{\ensuremath{\alpha}}^{3}$, ${R}_{\ensuremath{\infty}}{\ensuremath{\alpha}}^{3}(m∕M)$, and, partially, ${R}_{\ensuremath{\infty}}{\ensuremath{\alpha}}^{4}$ are taken into consideration as well as the finite size structure of proton and deuteron. It is found that the relative theoretical uncertainty due to uncalculated contributions of orders ${R}_{\ensuremath{\infty}}{\ensuremath{\alpha}}^{4}$ and higher to the reference transition frequency interval $(L=0,v=0)\ensuremath{\rightarrow}(0,1)$ is about $1\phantom{\rule{0.3em}{0ex}}\mathrm{ppb}$.
Uppermost Mantle Seismic Pn‐Velocity in Continental China and Its Tectonic Implications

We construct a high‐resolution Pn‐velocity model in continental China through a new tomographic scheme simultaneously inverting event epicenter location and Pn‐velocity and accurately accounting for the Pn propagation effects of irregular crustal thickness variation. The inversion integrates a combined data set of 32,427 absolute Pn travel times and 62,431 interstation Pn differential travel times manually picked from the recordings of 2,989 stations in and around continental China, yielding a model of spatial resolutions ranging from 0.75° × 0.75°–3° × 3°. Major Pn‐velocity features revealed by the model and the tectonic processes we attribute to include: (a) high Pn‐velocities beneath major cratonic blocks and the southern Tibetan Plateau attributed to low temperatures of cratons, (b) low Pn‐velocities beneath the eastern North China craton around the Tan‐Lu fault and the central South China block attributed to high temperatures and low‐Mg# ( 100×Mg/(Mg+Fe) $100\times \mathrm{M}\mathrm{g}/(\mathrm{M}\mathrm{g}+\mathrm{F}\mathrm{e})$ ) peridotites in response to the Mesozoic‐Cenozoic subduction of the Pacific plate, and beneath the Trans‐North China orogen, most regions of the Tibetan blocks and the central Tianshan orogen attributed to high temperatures after multiple tectono‐thermal events in response to the Mesozoic‐Cenozoic subduction of the Pacific plate, the Triassic convergence of the North China, Yangtze, and northern Tibetan blocks and the Cenozoic India‐Eurasia collision, and (c) intermediate Pn‐velocities beneath the marginal regions of the Ordos block and Micang‐Daba region attributed to possible extrusion of hot asthenospheric flow from the Tibetan Plateau in response to far‐field effects of the India‐Eurasia collision.
The Intrinsic Radius as a Key Parameter in the Generalized Born Model to Adjust Protein-Protein Electrostatic Interaction

The generalized Born (GB) model is an extension of the continuum dielectric theory of Born solvation energy and is a powerful method for accelerating the molecular dynamic (MD) simulations of charged biological molecules in water. While the effective dielectric constant of water that varies as a function of the separation distance between solute molecules is incorporated into the GB model, adjustment of the parameters is indispensable for accurate calculation of the Coulomb (electrostatic) energy. One of the key parameters is the lower limit of the spatial integral of the energy density of the electric field around a charged atom, known as the intrinsic radius ρ. Although ad hoc adjustment of ρ has been conducted to improve the Coulombic (ionic) bond stability, the physical mechanism by which ρ affects the Coulomb energy remains unclear. Via energetic analysis of three differently sized systems, here, we clarify that the Coulomb bond stability increases with increasing ρ and that the increased stability is caused by the interaction energy term, not by the self-energy (desolvation energy) term, as was supposed previously. Our results suggest that the use of larger values for the intrinsic radii of hydrogen and oxygen atoms, together with the use of a relatively small value for the spatial integration cutoff in the GB model, can better reproduce the Coulombic attraction between protein molecules.
On fluctuations of sums of random variables

Introduction. These results are generalizations of a theorem of Chung [I ] on the limiting distribution of the number of crossings of a value, c, by the successive partial sums of a sequence of independent random variables, and of theorems by Chung and Erdos [3 ] on the lower limits of such sums. Two of these theorems concern the case of independent, equidistributed random variables whose distributions have an absolutely continuous component (Case A). The others are for binomial variates (Case B). We extend the results of Case A to sums of independent random variables whose distributions need not be the same, and those of Case B to sums of independent and equidistributed random variables of the lattice type. Let {X } be a sequence of independent random variables whose c.d. f. 's, { Fn(x) }, need not be the same. We use the usual notations:
Human body features recognition using 3D scale invariant feature transform

Focusing on applications to the three-dimensional (3D) garment computer aided design (CAD)system, a human features recognition method based on 3D scale invariant feature transformation (SIFT) is proposed in this paper. First of all, pre-processing is performed on the 3D scanned human body, which are the noise reduction and the conversion into point cloud format. Then the 3D scale-invariant feature transformation constrained by directional gradient constraints is used to extract the feature points of the human point cloud model, and the measurement results are recorded. Finally, according to definitions of reference points for garment anthropometry and the actual measurement value corresponding to the human body, the comparison and analysis of diverse recognition algorithms is given. Simulation results show that the proposed method in this paper is valid and effective.
Production-Process Simulation and Life-Cycle Assessment of Metakaolin as Supplementary Cementitious Material

An environmental assessment of metakaolin as a supplementary cementitious material (SCM) through an integrated production-process-simulation and Life-Cycle-Assessment (LCA) approach is presented in this work. Initially, process simulation models were developed to reproduce the basic stages of the metakaolin production process. The effect of various operational parameters and scenarios, such as calcination temperature, moisture of raw material and associated drying, exhaust gas recirculation and the use of alternative-fuel combustion to provide kiln heat requirements, was evaluated. The resulting process heat-demand and CO2-emission computations were used as inputs in the LCA along with upstream literature data using a cradle-to-gate approach. LCA results focused on the most relevant environmental impact category of cement production, the Global Warming Potential (GWP (100)). The major findings showed a strong influence of process temperature and kaolin humidity on the lifecycle GWP, since both parameters affected not only the core-process heat demand but also the upstream impact related to fossil-fuel extraction, processing, transportation and distribution. Recirculating the exhaust provided a GWP reduction potential of up to 19%. In all examined production scenarios, metakaolin depicted a lower Global Warming Potential compared to clinker due to the avoidance of emissions related to limestone calcination. As regards the impact contribution of fuels, coal was responsible for higher onsite emissions and natural gas indicated higher upstream emissions. The GWP (100) could be further reduced when alternative waste fuels such as plastic waste, MSW (municipal solid waste) and tires were used. The LCA results have been cross-checked with previous literature reports, and the corresponding deviations are accordingly explained. In any case, the LCA results of different studies are rarely directly comparable due to the numerous assumptions required, which cannot be identically replicated.
Academic Passion and Subjective Well-Being among Female Research Reserve Talents: The Roles of Psychological Resilience and Academic Climate

This study aimed to investigate the relationship between academic passion (AP) and subjective well-being (SWB), along with the mediating role of psychological resilience (PR) and the moderating role of academic climate (AC), among Chinese female research talent in reserve. A convenience sampling method was used to select 304 female master’s degree students from several universities in the central region of China a questionnaire survey. The results show that: (1) AP has a positive predictive effect on the SWB of female reserve research talents; (2) PR partially mediated the relationship between the AP and SWB of female reserve research talents; (3) AC moderated the relationship between the AP and SWB of female reserve research talents. Thus, the findings of this study support a moderated mediation model that explores the relationship between AP and SWB for female research backups, with PR as the mediating variable and AC as the moderating variable. These findings provide a new perspective with which to explore the mechanisms influencing the subjective well-being of female research reserves.
A Randomized Controlled Pilot Study of the Project Support Positive Parenting Module

Purpose: Parental support is theorized to promote healthy child development and is a frequent target of brief parenting programs. However, evaluations of these brief programs often rely on parents’ self-reports. This randomized controlled trial uses mothers’ self-reports and observational methods to evaluate the Project Support Positive Parenting module—a brief parenting program designed to enhance parental support. Method: After completing a pretreatment assessment, 73 mothers and their children (40 girls; aged 6–12 years) were randomized to the Project Support module or to a wait-list control group. Families also completed posttreatment and follow-up assessments. Results: Results of multilevel modeling analyses showed that mothers randomized to the Project Support module demonstrated greater improvements over time in mothers’ self-reports of parent–child communication and observed respect for their child's views, compared to mothers in the control condition. Discussion: Results suggest that the Project Support Positive Parenting module can result in changes in parental support.
Transmission loss of a multilayer panel with internal tuned Helmholtz resonators

Two different methods of analysis are presented for the transmission loss prediction of a multilayer panel with internal Helmholtz resonators. One of the methods, devised at the Lockheed Aeronautical Systems Company, is based on the pressure ratio methodology of Beranek and Work [J. Acoust. Soc. Am. 21, 419–428 (1949)], where the acoustic resonators are included as a side branch. The other method uses a transfer matrix approach where the resonators are embedded in and move with the trim panel. Comparisons are made between numerical results obtained from the two types of analyses. Except for a minor shift in the frequency of maximum transmission loss, the agreement is very close. The shift is a function of the ratio of the nozzle throat area to the resonator surface area. When this ratio goes to zero the results from the two approaches become identical. Experimental results are shown for a double‐wall panel with resonators tuned to 240 Hz and are compared against predictions with good agreement. The result.
Notes: (5) An Encrusted Urn from Aberlemno, Angus

The capstone of a small cist was discovered during ploughing. The vessel within was protected by a cist of slabs, built apparently after the urn was set in place rather in the manner of a house of cards. The substructure of the cist was an irregular pentagon formed of five principal slabs. The urn contained the burnt bones of an adolescent.
Diabetes prediction and analysis using machine learning models

Diabetes is a very serious worldwide chronic disease that affects people's life and health. Patients require insulin injections to maintain blood sugar balance exogenously. Methods to detect diabetes are time-consuming and labor-intensive. With the popularity of machine learning algorithms, we expect to predict and analyze diabetes through deep learning methods. In this paper, we utilize machine learning methods for data analysis and prediction. Our method was tested on public datasets and found that the random forest algorithm performed best, and that BMI and gender were the most important factors affecting the prevalence of diabetes.
On Local Homogeneity and Stochastically Ordered Mixed Rasch Models

Mixed Rasch models add latent classes to conventional Rasch models, assuming that the Rasch model applies within each class and that relative difficulties of items are different in two or more latent classes. This article considers a family of stochastically ordered mixed Rasch models, with ordinal latent classes characterized by increasing total scoresacrossclasses, and discusses different approaches to item analysis by these models. The analysis by stochastically ordered mixed Rasch models is illustrated both on simulated data and on part of the data collected during development of a new Danish cognitive test called Children's Problem Solving (CHIPS). The main purpose of the analysis of responses to CHIPS items was to validate this theory by disclosure of evidence confirming that item responses fit a stochastically ordered mixed Rasch model but not a conventional Rasch model.
Frames, framing and framing effects in cognitive CDA

In this paper I provide an account of frames, framing and framing effects from the perspective of cognitive linguistics as it is applied in critical discourse analysis. Frames, here, are understood as structured bundles of concepts accessed by linguistic expressions to constitute the meaning of an utterance or linguistic formulation. I describe frames at two levels: event-frames representing basic patterns of experience in domains like action and motion and frames representing areas of experience cultivated as members of a given culture. I show how the linguistic expressions selected in media discourses of political protests access frames and event-frames to construe the activities of social movements in a particular ideologically vested fashion, including figuratively as familiar frames such as the WAR frame are recruited to provide structure in the apprehension of the target situation. I show how such framing efforts are manifested in visual depictions as well as verbal descriptions of political protests. Finally, I describe recent experimental studies that provide evidence for metaphorical framing effects in audiences.
MP‐HTLC: Enabling blockchain interoperability through a multiparty implementation of the hash time‐lock contract

The idea of hash time‐lock contracts (HTLCs) has been around from 2013. Nowadays these contracts power the majority of atomic swaps making decentralized exchange of tokens possible. On the other hand, HTLCs also have some flaws. For example they can only be instantiated between two parties. This is highly inefficient when many participants want to exchange tokens between the same pair of blockchains at the same time, because the number of transactions increases linearly in the number of participants. To solve this problem, in this article, we present MP‐HTLC. MP‐HTLC lets multiple users exchange tokens on different blockchains in a single instantiation of the protocol without any leader election. We prove that in case of a UTXO‐based blockchain the number of transactions remains constant regardless the number of participants. We are able to maintain the security assumptions of HTLCs using multiparty computation in the creation of the secret preimage and threshold signatures to manage transaction signing. We also present an implementation for each of the aspects of the protocol.
A Sulfur-Bridging Sulfonate-Modified Zinc(II) Phthalocyanine Nanoliposome Possessing Hybrid Type I and Type II Photoreactions with Efficient Photodynamic Anticancer Effects

Phthalocyanines are potentially promising photosensitizers (PSs) for photodynamic therapy (PDT), but the inherent defects such as aggregation-caused quenching effects and non-specific toxicity severely hinder their further application in PDT. Herein, we synthesized two zinc(II) phthalocyanines (PcSA and PcOA) monosubstituted with a sulphonate group in the alpha position with “O bridge” and “S bridge” as bonds and prepared a liposomal nanophotosensitizer (PcSA@Lip) by thin-film hydration method to regulate the aggregation of PcSA in the aqueous solution and enhance its tumor targeting ability. PcSA@Lip exhibited highly efficient production of superoxide radical (O2∙−) and singlet oxygen (1O2) in water under light irradiation, which were 2.6-fold and 15.4-fold higher than those of free PcSA, respectively. Furthermore, PcSA@Lip was able to accumulate selectively in tumors after intravenous injection with the fluorescence intensity ratio of tumors to livers was 4.1:1. The significant tumor inhibition effects resulted in a 98% tumor inhibition rate after PcSA@Lip was injected intravenously at an ultra-low PcSA@Lip dose (0.8 nmol g−1 PcSA) and light dose (30 J cm−2). Therefore, the liposomal PcSA@Lip is a prospective nanophotosensitizer possessing hybrid type I and type II photoreactions with efficient photodynamic anticancer effects.
Metagenomics Analysis of Breast Microbiome Highlights the Abundance of Rothia Genus in Tumor Tissues

Breast cancer is one of the main global priorities in terms of public health. It remains the most frequent cancer in women and is the leading cause of their death. The human microbiome plays various roles in maintaining health by ensuring a dynamic balance with the host or in the appearance of various pathologies including breast cancer. In this study, we performed an analysis of bacterial signature differences between tumor and adjacent tissues of breast cancer patients in Morocco. Using 16S rRNA gene sequencing, we observed that adjacent tissue contained a much higher percentage of the Gammaproteobacteria class (35.7%) while tumor tissue was characterized by a higher percentage of Bacilli and Actinobacteria classes, with about 18.8% and 17.2% average abundance, respectively. Analysis of tumor subtype revealed enrichment of genus Sphingomonodas in TNBC while Sphingomonodas was predominant in HER2. The LEfSe and the genus level heatmap analysis revealed a higher abundance of the Rothia genus in tumor tissues. The identified microbial communities can therefore serve as potential biomarkers for prognosis and diagnosis, while also helping to develop new strategies for the treatment of breast cancer patients.
Pressure dependence of the electrical potential and electron temperature in a microwave-generated plasma

The electron temperature in a stationary hydrogen plasma has been studied using a Langmuir probe. The measurements have been carried out over the pressure range from 3 mbar (2.25 torr) to 25 mbar (18.75 torr). The applied microwave power was varied from 50 to 450 W. The electron temperature shows a linear dependence on the applied microwave power. The self-space-charge field (in volts) of a hydrogen plasma shows a saturation behavior at higher microwave powers. The maximum value at the saturation of the field equals 6.8 V at a gas pressure of 15 mbar (11.25 torr) for all values of the input microwave radiation power. The polarities of the self-space-charge electric field are similar above this value and below it. >
Seismic data reconstruction via weighted nuclear-norm minimization

The low-rank matrix completion theory based on nuclear-norm minimization is becoming increasingly popular in practice, and has been applied to seismic data reconstruction of missing traces. In this paper, we investigate the weighted nuclear-norm minimization model on low-rank seismic texture matrix which is obtained with a designed texture-patch pre-transformation. Unlike the previous nuclear-norm model that treats all singular values of the seismic data matrix equally, the weighted nuclear-norm model, based on the idea of iterative reweighting, makes a closer approximation to the ‘counting rank function’ and can promote the low-rank matrices. We apply weighted spectral soft-thresholding iterative scheme and weighted iterative supported detection method to solve the weighted model. Experimental study on synthetic and real seismic data shows that high-quality reconstruction can be obtained by the weighted low-rank methods.
Polymer integration of optoelectronic devices in on-board and board-to-board optical communication systems

This paper demonstrates a combined packaging and optical coupling scheme for optoelectronic devices in short distance optical communication systems. The proposed scheme allows an ultra short optical path between the optoelectronic component and the optical waveguide entry. This is achieved by embedding the bare die optoelectronics in the substrate of the optical system. The positioning and alignment of the embedded dies is performed with a scalable passive alignment process based on physical alignment studs which are manufactured with standard photolithography combined with the use of Moiré interference patterns for precise alignment.