Miracle-dz/UniFAR-FTUs huggingface dataset:
Beyond the Meta: Leveraging Game Design Parameters for Patch-Agnostic Esport Analytics

Esport games comprise a sizeable fraction of the global games market, and is the fastest growing segment in games. This has given rise to the domain of esports analytics, which uses telemetry data from games to inform players, coaches, broadcasters and other stakeholders. Compared to traditional sports, esport titles change rapidly, in terms of mechanics as well as rules. Due to these frequent changes to the parameters of the game, esport analytics models can have a short life-spam, a problem which is largely ignored within the literature. This paper extracts information from game design (i.e. patch notes) and utilises clustering techniques to propose a new form of character representation. As a case study, a neural network model is trained to predict the number of kills in a Dota 2 match utilising this novel character representation technique. The performance of this model is then evaluated against two distinct baselines, including conventional techniques. Not only did the model significantly outperform the baselines in terms of accuracy (85% AUC), but the model also maintains the accuracy in two newer iterations of the game that introduced one new character and a brand new character type. These changes introduced to the design of the game would typically break conventional techniques that are commonly used within the literature. Therefore, the proposed methodology for representing characters can increase the life-spam of machine learning models as well as contribute to a higher performance when compared to traditional techniques typically employed within the literature.
Known by the Company it Keeps: Proximity-Based Indexing for Physical Content in Archival Repositories

Despite the plethora of born-digital content, vast troves of important content remain accessible only on physical media such as paper or microfilm. The traditional approach to indexing undigitized content is using manually created metadata that describes it at some level of aggregation (e.g., folder, box, or collection). Searchers led in this way to some subset of the content often must then manually examine substantial quantities of physical media to find what they are looking for. This paper proposes a complementary approach, in which selective digitization of a small portion of the content is used as a basis for proximity-based indexing as a way of bringing the user closer to the specific content for which they are looking. Experiments with 35 boxes of partially digitized US State Department records indicate that box-level indexes built in this way can provide a useful basis for search.
Superconductivity with high upper critical field in Ta-Hf alloys

High upper-critical field superconducting alloys are required for superconducting device applications. In this study, we extensively characterized the structure and superconducting properties of alloys Ta$_{x}$ Hf$_{1-x}$ (x = 0.2, 0.4, 0.5, 0.6 and 0.8). The substitution of Hf (T$_{C}$ = 0.12 K, type-I superconductor) with Ta (T$_{C}$ = 4.4 K, type-I superconductor) shows an anomalous enhancement of T$_{C}$ with variation of composition. Interestingly, all compositions exhibited strongly coupled bulk type-II superconductivity with a high upper critical field. In particular, for compositions x = 0.2, and 0.4, the upper critical field (H$_{C2}$) approached the Pauli limiting field.
LAMASSU: A Streaming Language-Agnostic Multilingual Speech Recognition and Translation Model Using Neural Transducers

Automatic speech recognition (ASR) and speech translation (ST) can both use neural transducers as the model structure. It is thus possible to use a single transducer model to perform both tasks. In real-world applications, such joint ASR and ST models may need to be streaming and do not require source language identification (i.e. language-agnostic). In this paper, we propose LAMASSU, a streaming language-agnostic multilingual speech recognition and translation model using neural transducers. Based on the transducer model structure, we propose four methods, a unified joint and prediction network for multilingual output, a clustered multilingual encoder, target language identification for encoder, and connectionist temporal classification regularization. Experimental results show that LAMASSU not only drastically reduces the model size but also reaches the performances of monolingual ASR and bilingual ST models.
Wrapped Cauchy Distributed Angular Softmax for Long-Tailed Visual Recognition

Addressing imbalanced or long-tailed data is a major challenge in visual recognition tasks due to disparities between training and testing distributions and issues with data noise. We propose the Wrapped Cauchy Distributed Angular Softmax (WCDAS), a novel softmax function that incorporates data-wise Gaussian-based kernels into the angular correlation between feature representations and classifier weights, effectively mitigating noise and sparse sampling concerns. The class-wise distribution of angular representation becomes a sum of these kernels. Our theoretical analysis reveals that the wrapped Cauchy distribution excels the Gaussian distribution in approximating mixed distributions. Additionally, WCDAS uses trainable concentration parameters to dynamically adjust the compactness and margin of each class. Empirical results confirm label-aware behavior in these parameters and demonstrate WCDAS's superiority over other state-of-the-art softmax-based methods in handling long-tailed visual recognition across multiple benchmark datasets. The code is public available.
DIMENSION THEORY

What do you do to start reading dimension theory? Searching the book that you love to read first or find an interesting book that will make you want to read? Everybody has difference with their reason of reading a book. Actuary, reading habit must be from earlier. Many people may be love to read, but not a book. It's not fault. Someone will be bored to open the thick book with small words to read. In more, this is the real condition. So do happen probably with this dimension theory.
Interpreting the Si ii and C ii Line Spectra from the COS Legacy Archive Spectroscopic SurveY Using a Virtual Galaxy from a High-resolution Radiation-hydrodynamic Simulation

Observations of low-ionization state metal lines provide crucial insights into the interstellar medium (ISM) of galaxies, yet, disentangling the physical processes responsible for the emerging line profiles is difficult. This work investigates how mock spectra generated using a single galaxy in a radiation-hydrodynamical simulation can help us interpret observations of a real galaxy. We create 22,500 C ii and Si ii spectra from the virtual galaxy at different times and through multiple lines of sight and compare them with the 45 observations of low-redshift star-forming galaxies from the COS Legacy Spectroscopic SurveY (classy). We find that the mock profiles provide accurate replicates of the observations of 38 galaxies with a broad range of stellar masses (106–109 M ⊙) and metallicities (0.02–0.55 Z ⊙). Additionally, we highlight that aperture losses explain the weakness of the fluorescent emission in several classy spectra and must be accounted for when comparing simulations to observations. Overall, we show that the evolution of a single simulated galaxy can produce a large diversity of spectra whose properties are representative of galaxies of comparable or smaller masses. Building upon these results, we explore the origin of the continuum, residual flux, and fluorescent emission in the simulation. We find that these different spectral features all emerge from distinct regions in the galaxy’s ISM, and their characteristics can vary as a function of the viewing angle. While these outcomes challenge simplified interpretations of down-the-barrel spectra, our results indicate that high-resolution simulations provide an optimal framework to interpret these observations.
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs

This paper studies the relationship between a graph neural network (GNN) and a manifold neural network (MNN) when the graph is constructed from a set of points sampled from the manifold, thus encoding geometric information. We consider convolutional MNNs and GNNs where the manifold and the graph convolutions are respectively defined in terms of the Laplace-Beltrami operator and the graph Laplacian. Using the appropriate kernels, we analyze both dense and moderately sparse graphs. We prove non-asymptotic error bounds showing that convolutional filters and neural networks on these graphs converge to convolutional filters and neural networks on the continuous manifold. As a byproduct of this analysis, we observe an important trade-off between the discriminability of graph filters and their ability to approximate the desired behavior of manifold filters. We then discuss how this trade-off is ameliorated in neural networks due to the frequency mixing property of nonlinearities. We further derive a transferability corollary for geometric graphs sampled from the same manifold. We validate our results numerically on a navigation control problem and a point cloud classification task.
Charge-trap flash memory using zirconium-nitride-based memristor switches

Charge-trap flash (CTF) memory using a zirconium nitride (ZrN)-based memristor switch (MRS) is demonstrated for next-generation nonvolatile memory. This device consists of a metal/MRS/nitride/oxide/silicon (M/MRS/N/O/S) structure so that electrical transport via the ZrN-based MRS layer can be utilized. Compared to previous oxide materials used as conduction paths, the proposed CTF device with a ZrN-based MRS exhibits a faster program/erase switching speed (20 ns/7 ns), along with comparable endurance and retention properties.
The Remodelling of Hydraulic Structure in a Distribution Channel for Improving the Equality of the Flow Distribution (I): Design Using CFD Simulation

This study was conducted to qualify the equality of the flow distribution from open channel between rapidmixing basin and flocculation basins in a domestic full-scale water treatment plant, and suggest a remedyfor improving the equality. In order to evaluate the feasibility of the suggested remedy, computational fluiddynamics (CFD) technique are used, and for verifying the CFD simulation results wet tests were carried outfor the pilot scale channel based on geometric similarity. From the results of CFD simulation and wet tests,it was investigated that the modification of hydraulic structure in the distribution channel, which is to installthe longitudinal orifice baffle in flow direction, could improve the equality of the flow distribution. Also, in thecase that Froude number is relatively small (Froude number
The prevalence of Wolbachia in multiple cockroach species and its implication for urban insect management

Cockroach management relies heavily on the use of conventional insecticides in urban settings, which no longer provide the anticipated level of control. Knowledge of cockroach endosymbionts, like Wolbachia, might provide novel avenues for control. Therefore, we screened 16 cockroach species belonging to 3 families (Ectobiidae, Blattidae, and Blaberidae) for the presence of Wolbachia. We mapped the evolution of Wolbachia-cockroach relationships based on maximum likelihood phylogeny and phylogenetic species clustering on a multi-loci sequence dataset (i.e., coxA, virD4, hcpA, and gatB) of Wolbachia genes. We confirmed the previous report of Wolbachia in 1 Ectobiid species; Supella longipalpa (Fab.), and detected the presence of Wolbachia in 2 Ectobiid species; Balta notulata (Stål) and Pseudomops septentrionalis Hebard, and 1 Blaberid species; Gromphadorhina portentosa (Schaum). All cockroach-associated Wolbachia herein detected were clustered with the ancestor of F clade Wolbachia of Cimex lectularius L. (bed bugs). Since Wolbachia provision C. lectularius with biotin vitamins that confer reproductive fitness, we screened the cockroach-associated Wolbachia for the presence of biotin genes. In toto, our results reveal 2 important findings: (i) Wolbachia is relatively uncommon among cockroach species infecting about 25% of species investigated, and (ii) cockroach-associated Wolbachia have biotin genes that likely provide nutritional benefits to their hosts. Thus, we discuss the potential of exploring Wolbachia as a tool for urban insect management.
[Protective Effect of Mesenchymal Stem Cell Transplantation on Intestinal Injury in Septic Mice and Its Mechanism].

Objective To explore the protective effect of placenta-derived mesenchymal stem cells (P-MSCs) transplantation on intestinal injury in septic mice and its mechanism. Methods A total of 24 mice were randomly assigned to 3 groups, a sham operation group, a sepsis group that underwent cecal ligation and puncture (CLP) procedure, and a group that received CLP and P-MSCs treatment. Hereinafter, the three groups are referred to as the Sham group, the CLP group, and the CLP+P-MSCs group. For the mice in the Sham group, the abdomen was cut open and the cecum was exposed and then placed back in the abdomen. CLP was performed in the other two groups to establish the sepsis model. Mice in the Sham and the CLP groups received 0.1 mL of 0.9% NaCl injection in the tail vein 1 hour after operation, while mice in the CLP+P-MSCs group received 2×10 5 P-MSCs infusion 1 hour after operation. Intestinal and blood specimens were collected from the mice in each group 24 hours after P-MSCs transplantation. Hematoxylin and eosin (HE) staining of the intestinal tissue was performed for pathological evaluation. The serum concentrations of D-lactic acid, diamine oxidase (DAO), endotoxin, interleukin (IL)-1β, tumor necrosis factor (TNF)-α, IL-6, IL-10, and transforming growth factor (TGF)-β were determined by enzyme linked immunosorbent assay (ELISA). The gene expression of the relevant inflammatory factors in the small intestinal tissue was determined by real-time fluorescence polymerase chain reaction. The expression of zonula occludens protein-1 (ZO-1) and occludin protein in the intestine was determined by Western blot, the infiltration of intestinal macrophages was determined by immunohistochemical method, and the polarization of macrophages was determined by immunofluorescence. Results The exogenous transplantation of P-MSCs could form colonies in the injured intestines of septic mice. Compared with those of the CLP group, the intestinal injury of the CLP+P-MSCs group was significantly alleviated, the serum concentrations of D-lactic acid, DAO, endotoxin, IL-1β, IL-6, and TNF-α were significantly decreased ( P<0.05), while the serum concentrations of IL-10 and TGF-β were significantly increased ( P<0.05), the expression levels of IL-1 β, TNF-α and IL-6 genes in the intestinal tissue were significantly decreased ( P<0.05), while the expression levels of IL-10 and TGF-β genes were significantly increased ( P<0.05), and the expression of ZO-1 and occludin proteins in the intestine was also significantly increased ( P<0.05). In addition, the distribution of macrophages in the intestinal tissue of the CLP+P-MSCs group decreased significantly and the macrophages showed a tendency for M2 polarization. Conclusion Exogenous transplantation of P-MSCs can significantly reduce inflammatory injury and improve the intestinal barrier function in septic mice with intestinal injury. Reduction in the infiltration of macrophages and promotion of the polarization of macrophages from M1 to M2 may be the mechanisms underlying the reduction of inflammation.
The Additional Cost of Perioperative Medication Errors

Abstract The purpose of this report was to estimate the additional annual cost to the U.S. healthcare system attributable to preventable medication errors (MEs) in the operating room. The ME types were iteratively grouped by their associated harm (or potential harm) into 13 categories, and we determined the incidence of operations involving each ME category (number of operations involving each category/total number of operations): (1) delayed or missed required perioperative antibiotic (1.4% of operations); (2) prolonged hemodynamic swings (7.6% of operations); (3) untreated postoperative pain >4/10 (18.9% of operations); (4) residual neuromuscular blockade (2.9% of operations); (5) oxygen saturation <90% due to ME (1.8% of operations); (6) delayed emergence (1.1% of operations); (7) untreated new onset intraoperative cardiac arrhythmia (0.72% of operations); (8) medication documentation errors (7.6% of operations); (9) syringe swaps (5.8% of operations); (10) presumed hypotension with inability to obtain a blood pressure reading (2.2% of operations); (11) potential for bacterial contamination due to expired medication syringes (8.3% of operations); (12) untreated bradycardia <40 beats/min (1.1% of operations); and (13) other (13.0% of operations). Through a PubMed search, we determined the likelihood that the ME category would result in downstream patient harm such as surgical site infection or acute kidney injury, and the additional fully allocated cost of care (in 2021 U.S. dollars) for each potential downstream patient harm event. We then estimated the cost of the MEs across the U.S. healthcare system by scaling the number of MEs to the total number of annual operations in the United States (N = 19,800,000). The total estimated additional fully allocated annual cost of care due to perioperative MEs was $5.33 billion U.S. dollars.
Efficacy of Urinary Kallidinogenase Plus Intravenous Recombinant Tissue Plasminogen Activator for Stroke Patients With Extended Window

Background: To assess the outcome of human urinary kallidinogenase (HUK) plus recombinant tissue plasminogen activator (rT-PA) intravenous thrombolysis for stroke patients with an extended time window(4.5 to 9 h). Methods: A total of 92 acute ischemic stroke patients who fulfilled the criteria were included in this study. All patients received basic treatment and intravenous rT-PA, and 49 patients received additional injections of HUK (HUK group) once a day for 14 consecutive days. Outcomes were indicated by the thrombolysis in cerebral infarction score as the primary endpoint and the National Institute of Health Stroke Scale, modified Rankin Scale, and Barthel Index as the secondary endpoints. The safety outcomes were the rate of symptomatic intracranial hemorrhage, bleeding, angioedema, and mortality. Results: The National Institute of Health Stroke Scale scores were significantly lower in the HUK group at hospital discharge (4.55 ± 3.78 vs 7.88 ± 7.31, P = 0.009) and day 90 (4.04 ± 3.51 vs 8.12 ± 9.53, P = 0.011). The improvements in the Barthel Index scores were more obvious in the HUK group. Patients in the HUK group achieved favorable functional independence (67.35% vs 46.51%; odds ratio: 2.37; 95% CI: 1.01-5.53) at 90 days. The recanalization rate of the HUK group was 64.10%, whereas that was 41.48% in the control group (P = 0.050). The complete reperfusion rates were 42.9% and 23.3% in the HUK group and the control group, respectively. No significant differences were observed for adverse events between the two groups. Conclusions: Combination therapy of HUK plus rT-PA in patients with acute ischemic stroke with an extended time window can safely improve their functional outcomes.
Smoking Cessation, Quit Attempts and Predictive Factors among Vietnamese Adults in 2020

Objective: This study aims to describe the updated smoking cessation and quit attempt rates and associated factors among Vietnamese adults in 2020. Methods: Data on tobacco use among adults in Vietnam in 2020 was derived from the Provincial Global Adult Tobacco Survey. The participants in the study were people aged 15 and older. A total of 81,600 people were surveyed across 34 provinces and cities. Multi-level logistic regression was used to examine the associations between individual and province-level factors on smoking cessation and quit attempts. Results: The smoking cessation and quit attempt rates varied significantly across the 34 provinces. The average rates of people who quit smoking and attempted to quit were 6.3% and 37.2%, respectively. The factors associated with smoking cessation were sex, age group, region, education level, occupation, marital status, and perception of the harmful effects of smoking. Attempts to quit were significantly associated with sex, education level, marital status, perception of the harmful effects of smoking, and visiting health facilities in the past 12 months. Conclusions: These results may be useful in formulating future smoking cessation policies and identifying priority target groups for future interventions. However, more longitudinal and follow-up studies are needed to prove a causal relationship between these factors and future smoking cessation behaviors.
Educator perspectives on non‐technical, discipline‐independent skill acquisition: An international, qualitative study

Gross anatomy education utilizing body donors and human specimens assists the acquisition of non‐traditional, discipline‐independent skills (NTDIS) such as teamwork, communication, and leadership. Alterations to anatomy curricula, such as those resulting from the COVID‐19 pandemic, likely impact NTDIS acquisition, yet how this manifests is unclear. This study, therefore, explored anatomy educator perspectives on NTDIS acquisition as a response to changes in teaching delivery. Gross anatomy educators across different countries were recruited and took part in one‐on‐one, semi‐structured interviews that were audio recorded and transcribed. Data were analyzed using the framework method. Basic statistical analyses were performed on demographic and categorical data. Fifteen educators from five continents were interviewed (average length 32.5 min, range 17–51 min). Educator experience ranged from 0–4 years (n = 3) to 20+ years (n = 7). Most taught using dissection (n = 14) with prosection use (n = 13) also common. Themes relating to NTDIS included expected content (respect for donors, teamwork, communication skills, humanistic values), assessable content, assessment challenges, and impact of curriculum changes; NTDIS unique to anatomy education included cultural, ethical, and social considerations around dead bodies, including boundaries, and social norms. Informed by curriculum alterations during the COVID‐19 pandemic, this first empirical study of anatomy educator perspectives on NTDIS highlights the potentially adverse educational impacts of decreased interaction with body donors and human specimens on NTDIS acquisition and difficulties with NTDIS assessment. Findings support gross anatomy education as unique in providing NTDIS that cannot easily be replicated elsewhere. Recommendations around NTDIS‐specific educator competencies and promoting NTDIS are provided.