Miracle-dz/UniFAR-FTUs huggingface dataset:
Evolutions of streamer dynamics and discharge instabilities under repetitive pulses in humid air

The presence of water molecules in air introduces complexities to residual charge transports and energy relaxations that may provoke streamer discharge instabilities under repetitive pulses. Evolutions of pulse-periodic positive streamer dynamics were investigated in humid air. Pulse-sequence and temporally resolved diagnostics were implemented to capture discharge evolutions. The streamer development and evolutions of charged species in humid air are qualitatively analyzed based on a 2D–0D combined simulation. Evolution features of streamer behaviors in humid air include the faster filamentation of the primary streamer, pronounced propagation selectivity to previous secondary streamers, more branches of both primary and secondary streamers, and accelerated secondary streamer into stagnation. The repetitively pulsed breakdown is proceeded by the progressive axial prolongation of secondary streamers with bright heads and faint tails. Nonintuitively, the withstanding capability does not illustrate dramatic differences in dry air and humid air especially at high pulse repetition frequency. High-density residing hydrated ions with high electron bound energies (impeding streamer propagation) and the enhanced thermal release to cause higher reduced electric field (facilitating streamer propagation) may contrarily affect evolutions and discharge instability developments of positive streamer in humid air.
Rural and remote psychologists’ views on provisional psychologist supervision

ABSTRACT Objective South Australia’s rural and remote psychology workforce is experiencing shortages. However, in seeking to place provisional psychologists in rural settings, universities have found it difficult to recruit supervising psychologists. This study seeks to understand what rural and remote psychologists view as the barriers and facilitators of supervising provisional psychologists. Method A qualitative research methodology was used. Ten rural or remote psychologists participated in semi-structured interviews. Data were analysed using reflexive thematic analysis. Results Barriers and Facilitators were explained by participants, including three sub-themes to Facilitators not previously reported in the literature: Benefits, Ownership, and Motivation. All participants expressed altruistic motivations for supervision however factors such as the Medicare rebate rates, feelings of division within the profession of psychology, and confusion about required qualifications to supervise acted as deterrents to offering supervision. Differences were evident between supervision in public and private practice contexts. Conclusions The findings from this study warrant further exploration and action from the profession and government. Proposed solutions to the barriers identified include government funding for supervision, equalising the Medicare rebate items, and better promoting the benefits of supervising. This research offers novel insight into the views of rural psychologists on supervision and professional commitment more broadly. Key Points What is already known about this topic: Rural and remote psychologists develop a unique set of context-based skills and knowledge. There is a shortage of psychologists in rural and remote areas of Australia. Universities struggle to place students in rural areas in part due to a shortage of psychologist supervisors. What this topic adds: Rural psychologists in private practice consider the prospect of supervision resource intensive and potentially disruptive to client care. Non-Clinical Endorsed psychologists reported feelings of frustration and perceptions of inferiority tied to their lower Medicare item rebate and feedback received during the retirement of the 4 + 2 pathway. The perceived messages of inferiority increased disengagement and reduced motivation to “give back” through provision of supervision.
Image-ray tracing for joint 3D seismic velocity estimation and time-to-depth conversion

Seismic time migration is known for its ability to generate well-focused and interpretable images, based on a velocity field specified in the time domain. A fundamental requirement of this time-migration velocity field is that lateral variations are small. In the case of 3D time migration for symmetric elementary waves e.g., primary PP reflections/diffractions, for which the incident and departing elementary waves at the reflection/diffraction point are pressure P waves, the time-migration velocity is a function depending on four variables: three coordinates specifying a trace point location in the time-migration domain and one angle, the so-called migration azimuth. Based on a time-migration velocity field available for a single azimuth, we have developed a method providing an image-ray transformation between the time-migration domain and the depth domain. The transformation is obtained by a process in which image rays and isotropic depth-domain velocity parameters for their propagation are estimated simultaneously. The depth-domain velocity field and image-ray transformation generated by the process have useful applications. The estimated velocity field can be used, for example, as an initial macrovelocity model for depth migration and tomographic inversion. The image-ray transformation provides a basis for time-to-depth conversion of a complete time-migrated seismic data set or horizons interpreted in the time-migration domain. This time-to-depth conversion can be performed without the need of an a priori known velocity model in the depth domain. Our approach has similarities as well as differences compared with a recently published method based on knowledge of timemigration velocity fields for at least three migration azimuths. We show that it is sufficient, as a minimum, to give as input a time-migration velocity field for one azimuth only. A practical consequence of this simplified input is that the image-ray transformation and its corresponding depth-domain velocity field can be generated more easily.
An unsupervised real-time spike sorting system based on optimized OSort

Objective. The OSort algorithm, a pivotal unsupervised spike sorting method, has been implemented in dedicated hardware devices for real-time spike sorting. However, due to the inherent complexity of neural recording environments, OSort still grapples with numerous transient cluster occurrences during the practical sorting process. This leads to substantial memory usage, heavy computational load, and complex hardware architectures, especially in noisy recordings and multi-channel systems. Approach. This study introduces an optimized OSort algorithm (opt-OSort) which utilizes correlation coefficient (CC), instead of Euclidean distance as classification criterion. The CC method not only bolsters the robustness of spike classification amidst the diverse and ever-changing conditions of physiological and recording noise environments, but also can finish the entire sorting procedure within a fixed number of cluster slots, thus preventing a large number of transient clusters. Moreover, the opt-OSort incorporates two configurable validation loops to efficiently reject cluster outliers and track recording variations caused by electrode drifting in real-time. Main results. The opt-OSort significantly reduces transient cluster occurrences by two orders of magnitude and decreases memory usage by 2.5–80 times in the number of pre-allocated transient clusters compared with other hardware implementations of OSort. The opt-OSort maintains an accuracy comparable to offline OSort and other commonly-used algorithms, with a sorting time of 0.68 µs as measured by the hardware-implemented system in both simulated datasets and experimental data. The opt-OSort’s ability to handle variations in neural activity caused by electrode drifting is also demonstrated. Significance. These results present a rapid, precise, and robust spike sorting solution suitable for integration into low-power, portable, closed-loop neural control systems and brain–computer interfaces.
The Distribution of Eight Antimicrobial Resistance Genes in Streptococcus oralis, Streptococcus sanguinis, and Streptococcus gordonii Strains Isolated from Dental Plaque as Oral Commensals

It has been proposed that oral commensal bacteria are potential reservoirs of a wide variety of antimicrobial resistance genes (ARGs) and could be the source of pathogenic bacteria; however, there is scarce information regarding this. In this study, three common streptococci of the mitis group (S. oralis, S. sanguinis, and S. gordonii) isolated from dental plaque (DP) were screened to identify if they were frequent reservoirs of specific ARGs (blaTEM, cfxA, tetM, tetW, tetQ, ermA, ermB, and ermC). DP samples were collected from 80 adults; one part of the sample was cultured, and from the other part DNA was obtained for first screening of the three streptococci species and the ARGs of interest. Selected samples were plated and colonies were selected for molecular identification. Thirty identified species were screened for the presence of the ARGs. From those selected, all of the S. sanguinis and S. oralis carried at least three, while only 30% of S. gordonii strains carried three or more. The most prevalent were tetM in 73%, and blaTEM and tetW both in 66.6%. On the other hand, ermA and cfxA were not present. Oral streptococci from the mitis group could be considered frequent reservoirs of specifically tetM, blaTEM, and tetW. In contrast, these three species appear not to be reservoirs of ermA and cfxA.
The Philip-Dunne permeameter: a low-tech/low-cost field saturated hydraulic conductivity device

One of the most sensitive parameters in hydrological models, the saturated hydraulic conductivity (Ks), is also one of the most problematic measurements at field scale in terms of variability and uncertainty. The performance of a new type of simple and inexpensive field permeameter, the Philip-Dunne permeameter (PD), is compared against two established alternatives: the laboratory constant head (LP) and the field Guelph (GP) permeameters. A PD prototype, a protocol of usage and a numerical routine to find Ks were developed and tested on a 70-point array laid out on an 850 m 2 volcanic soil plot. The raw data from the three methods were well described by a lognormal distribution, while the PD data could also be approximated with a power-normal distribution. A factor of 3 was found to relate PD and LP hydraulic conductivity estimates to GP. Such differences may be explained by the different water infiltration geometry and sample wetted volume for the three methods. In terms of personnel involved, preparation time, and ease of operation, the PD has advantages over the other two methods. Additionally, the PD methodology required a smaller number of samples (41% less than GP and 69% less than LP) to estimate the population means Ks.
The Effect of Lactiplantibacillus plantarum x3-2b Bacterial Powder on the Physicochemical Quality and Biogenic Amines of Fermented Lamb Jerky

In this study, a protective agent was added to prepare a high-activity Lactiplantibacillus plantarum x3-2b bacterial powder as a fermentation agent and explore its effect on the physicochemical quality, biogenic amines, and flavor of fermented lamb jerky. A composite protective agent, composed of 15% skim milk powder and 10% trehalose, was used, and bacterial mud was mixed with the protective agent at a 1:1.2 mass ratio. The resulting freeze-dried bacterial powder achieved a viable count of 5.1 lg CFU/g with a lyophilization survival rate of 87.58%. Scanning electron microscopy revealed enhanced cell coverage by the composite protective agent, maintaining the cell membrane’s integrity. Inoculation with x3-2b bacterial powder increased the pH and the reduction in aw, enhanced the appearance and texture of fermented lamb jerky, increased the variety and quantity of flavor compounds, and reduced the accumulation of biogenic amines (phenethylamine, histamine, and putrescine). This research provides a theoretical basis for improving and regulating the quality of lamb jerky and establishes a foundation for the development of bacterial powder for the commercial fermentation of meat products.
First Formal Report of an Adventive Species, Illinoia (Masonaphis) lambersi (Hemiptera, Aphididae), from Japan

Abstract. Illinoia (Masonaphis) lambersi (MacGillivray, 1960), a macrosiphine aphid species that mainly lives on Rhododendron spp. , is native to western North America, but adventive in Europe, Macaronesia, South America, and West Asia. This species is regarded internationally as distributed in Japan, but no reliable literature records its distribution in Japan. The present paper, for the first time, formally reports the occurrence of I. lambersi in Japan and East Asia based on specimens collected in 1983 in Sapporo and 2020–2021 in Pippu, Hokkaido, Japan. Rhododendron molle subsp. japonicum was a principal host plant for I. lambersi in Hokkaido. Rhododendron albrechtii and R. × mucronatum were newly recorded as hosts for I. lambersi. Fundatrices were found in the populations in Pippu, indicating that the populations are holocyclic, as reported also in western North America.
Identification of loci associated with water use efficiency and symbiotic nitrogen fixation in soybean

Soybean (Glycine max) production is greatly affected by persistent and/or intermittent droughts in rainfed soybean-growing regions worldwide. Symbiotic N2 fixation (SNF) in soybean can also be significantly hampered even under moderate drought stress. The objective of this study was to identify genomic regions associated with shoot carbon isotope ratio (δ13C) as a surrogate measure for water use efficiency (WUE), nitrogen isotope ratio (δ15N) to assess relative SNF, N concentration ([N]), and carbon/nitrogen ratio (C/N). Genome-wide association mapping was performed with 105 genotypes and approximately 4 million single-nucleotide polymorphism markers derived from whole-genome resequencing information. A total of 11, 21, 22, and 22 genomic loci associated with δ13C, δ15N, [N], and C/N, respectively, were identified in two environments. Nine of these 76 loci were stable across environments, as they were detected in both environments. In addition to the 62 novel loci identified, 14 loci aligned with previously reported quantitative trait loci for different C and N traits related to drought, WUE, and N2 fixation in soybean. A total of 58 Glyma gene models encoding for different genes related to the four traits were identified in the vicinity of the genomic loci.
A model/data comparison for shallow-water reverberation

A bottom-scattering model based on sediment small scatterers, single scattering approximation is presented, which is combined with a normal-mode-based reverberation model. The combined model (for total reverberation) is compared with measurements of shallow-water reverberation from the 2001 Asian Sea International Acoustic Experiment (ASIAEX) in the East China Sea. Reverberation intensities as a function of time and frequency are compared with theoretical predictions with reasonable agreement. The effects of the rough sea surface on the reverberation are also discussed.
Population-Based External Validation of the EASIX Scores to Predict CAR T-Cell-Related Toxicities

Simple Summary CAR T-cell therapy became standard of care for patients with relapsed or refractory large B-cell lymphoma. However, their administration can be accompanied by toxicities, such as cytokine release syndrome and immune effector cell-associated neurotoxicity syndrome. It is important to identify patients at risk for these toxicities in order to start an early intervention in high-risk patients and guide outpatient CAR T-cell treatment. As a consequence, several easy-to-use risk scores including the EASIX and its derivatives were developed. However, in the available studies, disparities existed among the used endpoints and cutoff values, hampering the utility of these tools in practice. This study aims to validate these EASIX scores in a population-based cohort. This can be used to select the best predictive model and to further guide optimization of the proposed risk scores. Abstract Cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS) can hamper the clinical benefit of CAR T-cell therapy in patients with relapsed/refractory large B-cell lymphoma (r/r LBCL). To assess the risk of CRS and ICANS, the endothelial activation and stress index (EASIX), the modified EASIX (m-EASIX), simplified EASIX (s-EASIX), and EASIX with CRP/ferritin (EASIX-F(C)) were proposed. This study validates these scores in a consecutive population-based cohort. Patients with r/r LBCL treated with axicabtagene ciloleucel were included (n = 154). EASIX scores were calculated at baseline, before lymphodepletion (pre-LD) and at CAR T-cell infusion. The EASIX and the s-EASIX at pre-LD were significantly associated with ICANS grade ≥ 2 (both p = 0.04), and the EASIX approached statistical significance at infusion (p = 0.05). However, the predictive performance was moderate, with area under the curves of 0.61–0.62. Validation of the EASIX-FC revealed that patients in the intermediate risk group had an increased risk of ICANS grade ≥ 2 compared to low-risk patients. No significant associations between EASIX scores and CRS/ICANS grade ≥ 3 were found. The (m-/s-) EASIX can be used to assess the risk of ICANS grade ≥ 2 in patients treated with CAR T-cell therapy. However, due to the moderate performance of the scores, further optimization needs to be performed before broad implementation as a clinical tool, directing early intervention and guiding outpatient CAR T-cell treatment.
A High-Throughput, High-Containment Human Primary Epithelial Airway Organ-on-Chip Platform for SARS-CoV-2 Therapeutic Screening

COVID-19 emerged as a worldwide pandemic in early 2020, and while the rapid development of safe and efficacious vaccines stands as an extraordinary achievement, the identification of effective therapeutics has been less successful. This process has been limited in part by a lack of human-relevant preclinical models compatible with therapeutic screening on the native virus, which requires a high-containment environment. Here, we report SARS-CoV-2 infection and robust viral replication in PREDICT96-ALI, a high-throughput, human primary cell-based organ-on-chip platform. We evaluate unique infection kinetic profiles across lung tissue from three human donors by immunofluorescence, RT-qPCR, and plaque assays over a 6-day infection period. Enabled by the 96 devices/plate throughput of PREDICT96-ALI, we also investigate the efficacy of Remdesivir and MPro61 in a proof-of-concept antiviral study. Both compounds exhibit an antiviral effect against SARS-CoV-2 in the platform. This demonstration of SARS-CoV-2 infection and antiviral dosing in a high-throughput organ-on-chip platform presents a critical capability for disease modeling and therapeutic screening applications in a human physiology-relevant in vitro system.
Identification of Dual-Target Inhibitors for Epidermal Growth Factor Receptor and AKT: Virtual Screening Based on Structure and Molecular Dynamics Study

Epidermal growth factor EGFR is an important target for non-small cell lung (NSCL) cancer, and inhibitors of the AKT protein have been used in many cancer treatments, including those for NSCL cancer. Therefore, searching small molecular inhibitors which can target both EGFR and AKT may help cancer treatment. In this study, we applied a ligand-based pharmacophore model, molecular docking, and MD simulation methods to search for potential inhibitors of EGFR and then studied dual-target inhibitors of EGFR and AKT by screening the immune-oncology Chinese medicine (TCMIO) database and the human endogenous database (HMDB). It was found that TCMIO89212, TCMIO90156, and TCMIO98874 had large binding free energies with EGFR and AKT, and HMDB0012243 also has the ability to bind to EGFR and AKT. These results may provide valuable information for further experimental study.
Mesozoic-Cenozoic Andean Paleogeography and Regional Controls on Hydrocarbon Systems

Palinspastic paleogeographic maps of western and northern South America, including the entire 8500-km "Andean system" from Trinidad to Cape Horn, are presented for nine Mesozoic-Cenozoic time intervals. The maps show (1) the spatial record of formational lithostratigraphic units; (2) continental, shallow marine, and deeper marine paleoenvironments and the location of active magmatic arcs through time; (3) progressive structural and tectonic development; (4) relative motions of adjacent plates affecting the Andes; and (5) paleolatitude. Phases and causes of geologic development are summarized from the maps and other information. Depositional systems are related to tectonic evolution, with implications drawn for hydrocarbon systems and history. It is shown that tectonic, depositional, and hydrocarbon histories are closely interrelated, having occurred in fairly discrete pulses through time, each with its own significance to hydrocarbon potential.
The Oral Microbiome across Oral Sites in Cats with Chronic Gingivostomatitis, Periodontal Disease, and Tooth Resorption Compared with Healthy Cats

Simple Summary Feline chronic gingivostomatitis (FCGS) remains a poorly understood clinical condition with significant impact on the quality of life of affected cats. An understanding of the pathogenesis of this inflammatory disease will enable the development of improved and targeted therapeutics beyond full-mouth extractions. Here, we collected sterile noninvasive plaque samples at ten distinct sites within the oral cavity in cats with FCGS (n = 12), healthy cats (n = 9), or cats with other oral conditions (n = 11). We used 16S rRNA gene sequencing (V1–V9) to profile bacteria in the oral microbiome. We found that the microbiomes of cats with FCGS were distinct from those of healthy cats at multiple oral sites, indicating that dysbiosis is present throughout the oral cavity. The microbiomes of cats varied depending on their oral diagnoses, confirming that the various dental diseases impact the microbiome in different ways. Lastly, microbiome data obtained from swabs of the oral cavity were similar to those obtained using endodontic paper point plaque samples, suggesting this approach as another valuable method of sampling. Given these additional insights, future studies can focus on targeted therapeutics so that extraction of healthy teeth will no longer be the standard of care for this challenging condition. Abstract Feline chronic gingivostomatitis (FCGS) is a chronic mucosal and gingival inflammatory disease in which pathogenesis remains unclear. Interactions between the host inflammatory process, the host immune response, and the oral microbiome are implicated in this pathogenesis. To begin to understand this disease and the impact of the microbiome to host inflammatory disease states, we collected sterile noninvasive plaque biofilm samples from ten distinct sites within the oral cavity in cats with stomatitis (n = 12), healthy cats (n = 9), and cats with tooth resorption or periodontitis (n = 11). Analysis of full-length 16S rRNA gene sequences indicated that the microbiomes of cats with FCGS presented marked dysbiosis at multiple oral sites. Additionally, microbiome beta diversity varied with oral condition, indicating that stomatitis, periodontitis, and/or tooth resorption influence the microbiome differently. Lastly, we found that the microbiomes of swabs taken from the oral cavity were comparable to those taken from plaque using endodontic paper points, validating this as another sampling method. Collectively, our work furthers our understanding of the dysbiosis and composition of bacteria in the oral microbiome in FCGS, with hopes of contributing to the prevention, diagnosis, and treatment of this challenging condition in felines.