Miracle-dz/UniFAR-FTUs huggingface dataset:
Low-Power Switching of Nonvolatile Resistive Memory Using Hafnium Oxide

Nonstoichiometric hafnium oxide (HfOx) resistive-switching memory devices with low-power operation have been demonstrated. Polycrystalline HfOx (O:Hf=1.5:1) films with a thickness of 20 nm are grown on a titanium nitride (TiN) bottom electrode by commercial atomic layer deposition. Platinum (Pt) as a top electrode is used in the memory device. Voltage-induced resistance switching is repeatedly observed in the Pt/HfOx/TiN/Si memory device with resistance ratio is greater than 10. During the switching cycles, the power consumptions for high- and low-resistance states are found to be 0.25 and 0.15 mW, respectively. At 85 °C, the memory device shows stable resistance switching and superior data retention with resistance ratio is greater than 100. In addition, our memory device shows little area dependence of resistance-switching behavior. The anodic electrode containing noble metal Pt serves an important role in maintaining stable resistance switching. The resistance switching in the HfOx films is thought to be due to the defects that are generated by the applied bias. The nonstoichiometric HfOx films are responsible for the low SET and RESET currents during switching. Our study shows that the HfOx resistive-switching memory is a promising candidate for next-generation nonvolatile memory device applications.
Separation of the Vector Wave Equation of Elasticity for Certain Types of Inhomogeneous, Isotropic Media

The method of separation of both the dependent and independent variables of the vector wave equation of elasticity has heretofore been applied almost exclusively to problems of wave propagation in homogeneous media. In this paper, a generalization of this method that extends its applicability to several types of inhomogeneous media is developed. The mechanical properties of the media considered here depend on one Cartesian coordinate, and Poisson's ratio is taken to be constant. Formulations are given for axially symmetric waves in three dimensions and for waves in two dimensions. Three linearly independent vector solutions of the wave equation are expressed in terms of three scalar potential functions. One of these functions represents generalized SH waves and satisfies an independent second‐order wave equation in all the problems considered here. Certain functional forms for the mechanical properties are found for which the remaining two potential functions also satisfy independent second‐order wave equ.
The Parkes-MIT-NRAO (PMN) surveys. I: The 4850 MHz surveys and data reduction

We describe radio surveys covering the sky from −87.5° to +10° declination made using the Parkes 64 m radio telescope with the NRAO multibeam receiver at a frequency of 4850 MHz during 1990. We have fully reduced the data from the Southern Survey (−87.5° < δ < −37°) and Tropical Survey (−29° < δ < −9.5°). Together, these surveys cover 4.51 sr and contain 36640 sources to a flux limit that is, typically, about 35 mJy but varies as a function of declination. They increase the number of known sources in the regions surveyed by approximately a factor of 5. In this paper, we describe the overall PMN Surveys, the data reduction techniques adopted, and assess the data quality of the two lists of sources resulting from the Southern and Tropical Surveys
A new detection system for x-ray microanalysis based on a silicon drift detector with Peltier cooling

A detection system made with a silicon drift detector cooled by a Peltier element has been designed and tested. This system has been conceived to be implemented in electron probe microanalyzers for the x-ray microanalysis of the specimen. The good energy resolution of the detector, 155 eV full width at half-maximum at the Mn–Kα line, obtained at moderately low temperature (−15 °C) by a small single-stage Peltier cooler, let this module be used in many applications in place of a standard Si(Li) detector, without the need of a liquid-nitrogen cryostat and with a good geometrical collection efficiency. Also, the particularly low values of shaping time ( 30 000 counts/s) like, for example, fast scannings for elemental mapping. The module has been implemented in an electron microscope and the test results are reported in the article.
Statistical model for noisy data selection

In this paper a statistical model for noisy data selection has been presented. It combines two powerful tools: a local wavelet analysis and multidimensional data analysis of wavelet transform coefficients. In the proposed model the adapted Malvar wavelet transform has been applied. It leads to a partition of the measuring signal to isolate transients. The multidimensional wavelet coefficients analysis has been applied to constitute a set of discriminating parameters that can be used to explore features characterizing transients caused by the air bubbles from diver's oxygen tanks.
Accelerating Neutron Scattering Data Collection and Experiments Using AI Deep Super-Resolution Learning.

We present a novel methodology of augmenting the scattering data measured by small angle neutron scattering via an emerging deep convolutional neural network (CNN) that is widely used in artificial intelligence (AI). Data collection time is reduced by increasing the size of binning of the detector pixels at the sacrifice of resolution. High-resolution scattering data is then reconstructed by using AI deep super-resolution learning method. This technique can not only improve the productivity of neutron scattering instruments by speeding up the experimental workflow but also enable capturing kinetic changes and transient phenomenon of materials that are currently inaccessible by existing neutron scattering techniques.
Dissociative excitation of metastable fragments by electron impact on carbonyl sulphide, carbon dioxide and carbon monoxide

Metastable fragments produced in the electron impact dissociation of carbonyl sulphide, carbon dioxide and carbon monoxide have been studied by the technique of time-of-flight spectroscopy. Three metastable fragments were identified in the time-of-flight spectra for dissociation of carbonyl sulphide and have been classified as O(5S), S(5S) and CO (a 3 Pi ). From the time-of-flight spectra, the kinetic energy distributions of the fragments have been deduced. The production of CO(a 3 Pi ) from carbonyl sulphide has been compared with its production from carbon dioxide; the production of O(5S) from dissociation of carbonyl sulphide, carbon dioxide and carbon monoxide is also compared.
Computing Approximating Automata for a Class of Hybrid Systems

This paper presents a new algorithm for generating finite-state automata models of hybrid systems in which the continuous-state dynamics can be switched when the continuous-state trajectory generates threshold events. The automata state transitions correspond to threshold events and the automata states correspond to portions of the threshold surfaces in the continuous state space. The hybrid system dynamics are approximated by the automata models in the sense that the languages of threshold event sequences generated by the automata contain the threshold event language for the hybrid system. Properties of the algorithm for constructing and refining the approximating automata are demonstrated and the application of approximating automata for system verification is illustrated for a switching controller for an inverted pendulum. Relationships to other approaches to hybrid system synthesis and verification are also discussed.
Free-Vibration Analysis and Material Constants Identification of Laminated Composite Sandwich Plates

Free vibration of symmetrically laminated composite sandwich plates with elastic edge restraints is studied via the Rayleigh–Ritz approach. The proposed Rayleigh–Ritz method is constructed on the basis of the layer-wise linear displacement theory. The accuracy of the method in predicting natural frequencies of composite sandwich plates with different boundary conditions is verified by the results reported in the literature or the experimental data obtained in this study. The proposed method is then applied to the material constant identification of free composite sandwich plates using the first six theoretical natural frequencies of the plates. In the identification process, trial material constants are used in the present method to predict the theoretical natural frequencies, a frequency discrepancy function is established to measure the sum of the squared differences between the experimental and theoretical natural frequencies, and a stochastic global minimization algorithm is used to search for the bes.
A Survey of Microcomputer Survival Analysis Software: The Need for an Integrated Framework

Abstract This paper surveys commercially available MS-DOS and Microsoft Windows based microcomputer software for survival analysis, especially for Cox proportional hazards regression and parametric survival models. Emphasis is given to functionality, documentation, generality, and flexibility of software. A discussion of the need for software integration is given, which leads to the conclusion that survival analysis software not closely tied to a well-designed package will not meet an analyst's general needs. Some standalone programs are good tools for teaching the theory of some survival analysis procedures, but they may not teach the student good data analysis techniques such as critically examining regression assumptions. We contrast typical software with a general, integrated, modeling framework that is available with S-PLUS.
Association of liver fibrosis biomarkers with overall and CVD mortality in the Korean population: The Dong-gu study

This study evaluated the associations of liver fibrosis biomarkers [non-alcoholic fatty liver disease fibrosis score (NFS), fibrosis-4 (FIB-4), aspartate aminotransferase/platelet ratio index (APRI), and BARD score] with mortality in Korean adults aged ≥50 years. We analyzed 7,702 subjects who participated in Dong-gu Study. The associations of liber fibrosis biomarkers with mortality were investigated using Cox proportional hazards models. Overall mortality increased with increasing NFS level [adjusted hazard ratio (aHR) 4.3, 95% confidence interval (CI) 3.3–5.5 for high risk vs. low risk], increasing FIB-4 level (aHR 3.5, 95% CI 2.9–4.4 for high risk vs. low risk), and increasing APRI level (aHR 3.5, 95% CI 2.1–5.8 for high risk vs. low risk) but not with BARD score. The Harrell’s concordance index for overall mortality for the NFS and FIB-4 was greater than that for the APRI and BARD score. In conclusion, NFS, FIB-4, and APRI showed a significant relationship with the overall mortality, and NFS and FIB-4 showed a significant relationship with the CVD mortality after adjustment for covariates. In addition, the NFS and FIB-4 were more predictive of overall mortality than the APRI and BARD score in Korean adults aged ≥50 years.
Psychosocial outcomes in Chinese survivors of pediatric cancers or bone marrow failure disorders: A single-center study

Background/Objectives Most of the studies on functional outcomes in pediatric survivors of cancers and bone marrow failure disorders have been conducted in North American, European, and Oceanian populations, with few studies having been performed in China. The objective of this study was to evaluate psychosocial outcomes in a cohort of Chinese pediatric survivors diagnosed with cancer or conditions requiring hematopoietic stem cell transplantation (HSCT), and to identify clinical and behavioral factors associated with adverse psychosocial outcomes. Methods This was a cross-sectional survey study. We recruited pediatric survivors of cancer or inherited disorder requiring HSCT at ≤18 years old and were ≥6 months post-treatment. Parents completed the St. Jude Children’s Research Hospital After Completion of Therapy questionnaire to report their child’s emotional functioning, social functioning, attention/concentration and behavior. Multivariable general linear modeling was used to identify clinical, treatment and behavioral factors associated with psychosocial outcomes, adjusting for sex, age and cancer diagnoses. Results Ninety-five pediatric survivors were recruited (62.1% male; mean [standard deviation] age 9.7 [3.4] years; 4.1 [2.6] years post-diagnosis). They were diagnosed with bone marrow failure disorders (23.2%), hematological malignancies (45.3%) or solid tumors (23.2%). Compared with survivors with no current health problems, those with more than one current health problem performed worse in emotional functioning (Estimate = 2.42, SE = 0.88, P = 0.008) and social functioning (Estimate = 2.90, SE = 1.64, P = 0.03). Higher pain interference was significantly associated with worse emotional functioning (Estimate = 0.19, SE = 0.08, P = 0.03) and attention functioning (Estimate = 0.26, SE = 0.11, P = 0.03). Compared with survivors who reported less sleep problems, those who had more sleep problems demonstrated poorer emotional functioning (Estimate = 0.30, SE = 0.08, P = 0.001). Survivors who had a longer duration of screen usage per day reported more impairment on attention and behavior functioning than those who had a shorter duration of screen usage per day (both P<0.5). Conclusion Survivors who were diagnosed at a younger age or had unaddressed/untreated health problems may require additional psychological evaluation. The implementation of psychosocial assessments during routine long-term follow-up care may help to identify high-risk patients during the early phase of survivorship. Rehabilitation interventions should address modifiable behavioral factors (e.g. sleep habits, screen time and chronic pain).
Local Coherence in Stream-of-consciousness Discourse: A Centering Approach

An evaluation metric comprising a battery of five-test criteria other than the standard Centering of “salience” and “cohesion” and Kibble’s version of “cohesion”, “salience”, “cheapness” and “no backward-looking center” is developed in this paper to involve “coherence”, “salience”, “cheapness”, “cohesion” and “no backward-looking center” in measuring the degree of coherence of different transition sequences in stream-of-consciousness (SOC) discourse on the premise of the distinction between coherence and cohesion. The addition of “coherence” and the distinction between lexical cohesion and cognitive and/or pragmatic coherence are crucial to the characterization of coherence in stream-of-consciousness discourse, which the Rule 2 of standard Centering cannot adequately capture. Cohesion mainly dwells upon semantic relatedness between two backward-looking centers, which can be resolved in frame semantics. Coherence cares more about relatedness between two backward-looking centers motivated by cognitive and/or pragmatic factors. In other words, two backward-looking centers may be semantically unrelated, but they strike up a relation with each other either temporarily or permanently due to cognitive and/or pragmatic factors.
The SAS Gamma-Ray Spectrometer

A new type of compact high-resolution gamma-ray spectrometer for short pulse intense gamma-rays has been developed by combining the principles of scintillators and attenuation spectrometers. The first prototype of this scintillator attenuation spectrometer (SAS) was tested successfully on Trident laser experiments in 2015 and later versions have since been used extensively in TPW laser experiments in Austin over the past two years. Here we give a brief description of the design principles and preliminary results of the SAS.
A next generation targeted amplicon sequencing method to screen for insecticide resistance mutations in Aedes aegypti populations reveals a rdl mutation in mosquitoes from Cabo Verde

Aedes mosquito vectors transmit many viruses of global health concern, including dengue, chikungunya and Zika. These vector-borne viral diseases have a limited number of treatment options, and vaccines vary in their effectiveness. Consequently, integrated vector management is a primary strategy for disease control. However, the increasing emergence and spread of insecticide resistance is threatening the efficacy of vector control methods. Identifying mutations associated with resistance in vector populations is important to monitor the occurrence and evolution of insecticide resistance and inform control strategies. Rapid and cost-effective genome sequencing approaches are urgently needed. Here we present an adaptable targeted amplicon approach for cost-effective implementation within next generation sequencing platforms. This approach can identify single nucleotide polymorphisms (SNPs) and small insertions and deletions (indels) in genes involved in insecticide resistance in Aedes aegypti mosquitoes. We designed and tested eleven amplicons, which included segments of the ace-1 (carbamate target), the Voltage-Gated Sodium Channel (vgsc; pyrethroids, DDT and organochlorines), and rdl (dieldrin) genes; thereby covering established knockdown resistance (kdr) mutations (e.g., S989P, I1011M/V, V1016G/I and F1534C), with the potential to identify novel ones. The amplicon assays were designed with internal barcodes, to facilitate multiplexing of large numbers of mosquitoes at low cost, and were sequenced using an Illumina platform. Our approach was evaluated on 152 Ae. aegypti mosquitoes collected in Cabo Verde, an archipelago with a history of arbovirus outbreaks. The amplicon sequence data revealed 146 SNPs, including four non-synonymous polymorphisms in the vgsc gene, one in ace-1 and the 296S rdl mutation previously associated with resistance to organochlorines. The 296S rdl mutation was identified in 98% of mosquitoes screened, consistent with the past use of an organochlorine compound (e.g., DDT). Overall, our work shows that targeted amplicon sequencing is a rapid, robust, and cost-effective tool that can be used to perform high throughput monitoring of insecticide resistance.
Dissociating selectivity adjustments from temporal learning–introducing the context-dependent proportion congruency effect

The list-level proportion congruency effect (PCE) and the context-specific PC (CSPC) effect are typical findings in experimental conflict protocols, which competing explanations attribute to different mechanisms. Of these mechanisms, stimulus-unspecific conflict-induced selectivity adjustments have attracted the most interest, from various disciplines. Recent methodological advances have yielded an experimental procedure for entirely ruling out all stimulus-specific alternatives. However, there is a stimulus-unspecific alternative–temporal learning–which cannot even be ruled out as the sole cause of either effect with any established experimental procedure. That is because it is very difficult to create a scenario in which selectivity adjustments and temporal learning make different predictions–with traditional approaches, it is arguably impossible. Here, we take a step towards solving this problem, and experimentally dissociating the two mechanisms. First, we present our novel approach which is a combination of abstract experimental conditions and theoretical assumptions. As we illustrate with two computational models, given this particular combination, the two mechanisms predict opposite modulations of an as yet unexplored hybrid form of the list-level PCE and the CSPC effect, which we term context-dependent PCE (CDPCE). With experimental designs that implement the abstract conditions properly, it is therefore possible to rule out temporal learning as the sole cause of stimulus-unspecific adaptations to PC, and to unequivocally attribute the latter, at least partially, to selectivity adjustments. Secondly, we evaluate methodological and theoretical aspects of the presented approach. Finally, we report two experiments, that illustrate both the promise of and a potential challenge to this approach.
Spatial distribution and insecticide resistance profile of Aedes aegypti and Aedes albopictus in Douala, the most important city of Cameroon

Prevention and control of Aedes-borne viral diseases such as dengue rely on vector control, including the use of insecticides and reduction of larval sources. However, this is threatened by the emergence of insecticide resistance. This study aimed to update the spatial distribution, the insecticide resistance profile of A. aegypti and A. albopictus and the potential resistant mechanisms implicated in the city of Douala. Immature stages of Aedes were collected in August 2020 in eight neighbourhoods in Douala and reared to adult stages. Adult bioassays, and piperonyl butoxide (PBO) synergist assays were carried out according to World Health Organization recommendations. Expression of some candidate metabolic genes including Cyp9M6F88/87, Cyp9J28a, Cyp9J10 and Cyp9J32 in A. aegypti, and Cyp6P12 in A. albopictus were assessed using qPCR. A. aegypti adults G0 were screened using real time melting curve qPCR analyses to genotype the F1534C, V1016I and V410L Aedes kdr mutations. Overall, A. aegypti is the predominant Aedes species, but analyses revealed that both A. albopictus and A. aegypti coexist in all the prospected neighbourhoods of Douala. High level of resistance was observed to three pyrethroids tested in both Aedes species. In A. aegypti a lower mortality rate was reported to permethrin (5.83%) and a higher mortality rate to deltamethrin (63.74%). Meanwhile, for A. albopictus, lower (6.72%) and higher (84.11%) mortality rates were reported to deltamethrin. Similar analysis with bendiocarb, revealed for A. aegypti a loss of susceptibility. However, in A. albopictus samples, analyses revealed a susceptibility in Logbessou, and confirmed resistance in Kotto (59.78%). A partial recovery of mortality was found to insecticides after pre-exposure to PBO. Cyp6P12 was found significantly overexpressed in A. albopictus permethrin resistant and Cyp9M6F88/87 for A. aegypti deltamethrin resistant. F1534C, V1016I and V410L mutations were detected in A. aegypti from different neighbourhoods and by considering the combination of these three kdr 14 genotypes were found. These findings provide relevant information which should be capitalised in the implementation of arbovirus vector control strategies and insecticide resistance management.