Miracle-dz/UniFAR-FTUs huggingface dataset:
An excitation‐pattern model for intensity discrimination

This paper evaluates two different versions of Zwicker [Acustica 6, 365–381 (1956)] and Maiwald’s [Acustica 18, 193–207 (1967)] excitation‐pattern model for intensity discrimination. The single‐band version is that originally used by Zwicker and Maiwald. They assumed that performance was determined by the critical band in which the excitation grows most rapidly with increasing level of the stimulus. The multiband version forms an optimum decision based on information in all critical bands. Predictions from the two versions of the model are compared to data for intensity discrimination of tones as a function of level and frequency, for partially masked tones and for white noise. In general, the single‐band version yields predictions in qualitative agreement, but not in quantitative agreement with the intensity‐resolution data for pulsed tones. The multiband version yields predictions in good qualitative as well as quantitative agreement with the data, except at high frequencies.
Antimicrobial, cytotoxic, and insulin‐releasing activities of the amphibian host‐defense peptide ocellatin‐3N and its L‐lysine‐substituted analogs

The host‐defense peptide ocellatin‐3N (GIFDVLKNLAKGVITSLAS.NH2), first isolated from the Caribbean frog Leptodactylus nesiotus, inhibited growth of clinically relevant Gram‐positive and Gram‐negative bacteria as well as a strain of the major emerging yeast pathogen Candida parapsilosis. Increasing cationicity while maintaining amphipathicity by the substitution Asp4→Lys increased potency against the microorganisms by between 4‐ and 16‐fold (MIC ≤3 μM) compared with the naturally occurring peptide. The substitution Ala18→Lys and the double substitution Asp4→Lys and Ala18→Lys had less effects on potency. The [D4K] analog also showed 2.5‐ to 4‐fold greater cytotoxic potency against non‐small‐cell lung adenocarcinoma A549 cells, breast adenocarcinoma MDA‐MB‐231 cells, and colorectal adenocarcinoma HT‐29 cells (LC50 values in the range of 12–20 μM) compared with ocellatin‐3N but was less hemolytic to mouse erythrocytes. However, the peptide showed no selectivity for tumor‐derived cells [LC50 = 20 μM for human umbilical vein endothelial cells (HUVECs)]. Ocellatin‐3N and [D4K]ocellatin‐3N stimulated the release of insulin from BRIN‐BD11 clonal β‐cells at concentrations ≥1 nM, and [A18K]ocellatin‐3N, at concentrations ≥0.1 nM. No peptide stimulated the release of lactate dehydrogenase at concentrations up to 3 μM, indicating that plasma membrane integrity had been preserved. The three peptides produced an increase in intracellular [Ca2+] in BRIN‐BD11 cells when incubated at a concentration of 1 μM. In view of its high insulinotropic potency and relatively low hemolytic activity, the [A18K] ocellatin analog may represent a template for the design of agents with therapeutic potential for the treatment of patients with type 2 diabetes.
Boundary determination of electromagnetic and Lamé parameters with corrupted data

We study boundary determination for an inverse problem associated to the time-harmonic Maxwell equations and another associated to the isotropic elasticity system. We identify the electromagnetic parameters and the Lamé moduli for these two systems from the corresponding boundary measurements. In a first step we reconstruct Lipschitz magnetic permeability, electric permittivity and conductivity on the surface from the ideal boundary measurements. Then, we study inverse problems for Maxwell equations and the isotropic elasticity system assuming that the data contains measurement errors. For both systems, we provide explicit formulas to reconstruct the parameters on the boundary as well as its rate of convergence formula.
The role of artificial intelligence in analysis of biofluid markers for diagnosis and management of glaucoma: A systematic review

Purpose This review focuses on utility of artificial intelligence (AI) in analysis of biofluid markers in glaucoma. We detail the accuracy and validity of AI in the exploration of biomarkers to provide insight into glaucoma pathogenesis. Methods A comprehensive search was conducted across five electronic databases including Embase, Medline, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and Web of Science. Studies pertaining to biofluid marker analysis using AI or bioinformatics in glaucoma were included. Identified studies were critically appraised and assessed for risk of bias using the Joanna Briggs Institute Critical Appraisal tools. Results A total of 10,258 studies were screened and 39 studies met the inclusion criteria, including 23 cross-sectional studies (59%), nine prospective cohort studies (23%), six retrospective cohort studies (15%), and one case-control study (3%). Primary open angle glaucoma (POAG) was the most commonly studied subtype (55% of included studies). Twenty-four studies examined disease characteristics, 10 explored treatment decisions, and 5 provided diagnostic clarification. While studies examined at entire metabolomic or proteomic profiles to determine changes in POAG, there was heterogeneity in the data with over 175 unique, differentially expressed biomarkers reported. Discriminant analysis and artificial neural network predictive models displayed strong differentiating ability between glaucoma patients and controls, although these tools were untested in a clinical context. Conclusion The use of AI models could inform glaucoma diagnosis with high sensitivity and specificity. While insight into differentially expressed biomarkers is valuable in pathogenic exploration, no clear pathogenic mechanism in glaucoma has emerged.
A construction of quarter BPS coherent states and Brauer algebras

BPS coherent states closely resemble semiclassical states and they have gravity dual descriptions in terms of semiclassical geometries. The half BPS coherent states have been well studied, however less is known about quarter BPS coherent states. Here we provide a construction of quarter BPS coherent states. They are coherent states built with two matrix fields, generalizing the half BPS case. These states are both the eigenstates of annihilation operators and in the kernel of dilatation operator. Another useful labeling of quarter BPS states is by representations of Brauer algebras and their projection onto a subalgebra $\mathbb{C}[S_n\times S_m]$. Here, the Schur-Weyl duality for the Walled Brauer algebra plays an important role in organizing the operators. One interesting subclass of these Brauer states are labeled by representations involving two Young tableaux. We obtain the overlap between quarter BPS Brauer states and quarter BPS coherent states, where the Schur polynomials are used. We also derive superposition formulas transforming a truncated version of quarter BPS coherent states to quarter BPS Brauer states. The entanglement entropy of Brauer states as well as the overlap between Brauer states and squeezed states are also computed.
Comparison of outcomes across low-intensity psychological interventions for depression and anxiety within a stepped-care setting: A naturalistic cohort study using propensity score modelling.

Low-intensity interventions for common mental disorders (CMD) address issues such as clinician shortages and barriers to accessing care. However, there is a lack of research into their comparative effectiveness in routine care. We aimed to compare treatment effects of three such interventions, utilizing four years' worth of routine clinical data. Users completing a course of guided self-help bibliotherapy (GSH), internet-delivered cognitive behavioural therapy (iCBT) or psychoeducational group therapy (PGT) from a stepped-care service within the NHS in England were included. Propensity score models (stratification and weighting) were used to control for allocation bias and determine average treatment effect (ATE) between the interventions. 21,215 users comprised the study sample (GSH = 12,896, iCBT = 6862, PGT = 1457). Adherence-to-treatment rates were higher in iCBT. All interventions showed significant improvements in depression (PHQ-9), anxiety (GAD-7) and functioning (WSAS) scores, with largest effect sizes for iCBT. Both propensity score models showed a significant ATE in favour of iCBT versus GSH and PGT, and in favour of GSH versus PGT. Discernible differences in effectiveness were seen for iCBT in comparison with GSH and PGT. Given variance in delivery mode and human resources between different low-intensity interventions, building on these findings would be valuable for future service provision and policy decision making.
Thinnable ideals and invariance of cluster points

We define a class of so-called thinnable ideals $\mathcal{I}$ on the positive integers which includes several well-known examples, e.g., the collection of sets with zero asymptotic density, sets with zero logarithmic density, and several summable ideals. Given a sequence $(x_n)$ taking values in a separable metric space and a thinnable ideal $\mathcal{I}$, it is shown that the set of $\mathcal{I}$-cluster points of $(x_n)$ is equal to the set of $\mathcal{I}$-cluster points of almost all its subsequences, in the sense of Lebesgue measure. Lastly, we obtain a characterization of ideal convergence, which improves the main result in [Trans. Amer. Math. Soc. 347 (1995), 1811--1819].
Emergency Department Use for Mental Health Problems by Youth in Child Welfare Services.

Objectives In Canada, little research has focused on emergency department (ED) use by youth involved with child welfare services, a vulnerable population. Our aims were therefore (1) to examine the characteristics of ED users among child welfare-involved youth, 2) to identify predictors of ED use and 3) to identify youth trajectories to EDs. Methods Data were collected from child welfare charts from two agencies in Montreal, Canada. Logistic regression was conducted to determine the predictors of ED use. Latent class analysis was used to identify trajectories to the ED. Results The sample included 226 youth aged 11-18 years. 33% of youth visited the ED at least once for mental health problems during child welfare involvement. ED users were more likely to be youth with a history of 1) sexual abuse, 2) parental mental illness, and 3) placements outside of the home, compared to youth with no ED visits. Mental health treatment was initiated in the 30 days following an ED presentation in 24% of cases. Three trajectories were found: 1) ED contact initiated by child welfare workers for suicidal ideation/attempts, 2) ED contact initiated by police for substance use and externalized behaviours and 3) ED contact initiated by parents for suicidal ideation/attempts. Discussion Despite all youth being followed by child welfare and many already receiving mental health services, youth had high, often recurrent ED use. This highlights the need for stronger coordination between child welfare, youth mental health services and EDs.
Cryptococcal antigenemia in people living with HIV and AIDS

Aim To assess the prevalence of cryptococcal antigenemia among people living with HIV/AIDS (PLHA) with CD4 ≤100/mm3 Design This observational study was performed on PLHA with laboratory-confirmed CD4 ≤100/mm3. All PLHA were recruited irrespective of their duration of HIV diagnosis, antiretroviral therapy (ART) naïve, or ART failure. Methods The prevalence of cryptococcal antigen (CrAg) was assessed in 102 PLHA, with CD4 ≤100/mm3, using a latex agglutination test on serum samples. All the subjects were followed up for 3 months. Results Amongst 102 PLHA, 62 (60.8%) and 40 (39.2%) patients were ART-naïve and ART failures, respectively, with 2.9% (n = 3) having clinical features of meningitis and 6.8% (n = 7) patients being asymptomatic CrAg-positive. At the 3 month follow-up, total mortality was 10.8%, of which 33.3% and 8.8% were among CrAg-positive and negative patients (p = 0.05). Mortality in asymptomatic and meningitis symptomatic CrAg-positive patients was 1.03% (n = 1) and 2.06% (n = 2), respectively. Of note, five patients were lost to follow-up. Conclusion Cryptococcal antigenemia is common among patients with CD4 ≤100/mm3 who were either ART naïve or had treatment failure. Asymptomatic patients who underwent pre-emptive therapy demonstrated good clinical outcomes.
Microbiome analysis in Lascaux Cave in relation to black stain alterations of rock surfaces and collembola

Abstract Anthropization of Palaeolithic caves open for tourism may favour collembola invasion and result in the formation of black stains attributed to pigmented fungi. However, ecological processes underpinning black stain formation are not fully understood. Here, we tested the hypotheses that black stains from the Apse room of Lascaux Cave display a specific microbiota enriched in pigmented fungi, and that collembola thriving on the stains have the potential to consume and disseminate these black fungi. Metabarcoding showed that the microbiota of black stains and neighbouring unstained parts strongly differed, with in black stains a higher prevalence of Ochroconis and other pigmented fungi and the strong regression of Pseudomonas bacteria (whose isolates inhibited in vitro the growth of pigmented fungi). Isotopic analyses indicated that Folsomia candida collembola thriving on stains could feed on black stain in situ and assimilate the pigmented fungi they were fed with in vitro. They could carry these fungi and disseminate them when tested with complex black stains from Lascaux. This shows that black stain formation is linked to the development of pigmented fungi, which coincides with the elimination of antagonistic pseudomonads, and points towards a key role of F. candida collembola in the dynamics of pigmented fungi.
Frailty, Comorbidity, and Associations With In-Hospital Mortality in Older COVID-19 Patients: Exploratory Study of Administrative Data

Background Older adults have worse outcomes following hospitalization with COVID-19, but within this group there is substantial variation. Although frailty and comorbidity are key determinants of mortality, it is less clear which specific manifestations of frailty and comorbidity are associated with the worst outcomes. Objective We aimed to identify the key comorbidities and domains of frailty that were associated with in-hospital mortality in older patients with COVID-19 using models developed for machine learning algorithms. Methods This was a retrospective study that used the Hospital Episode Statistics administrative data set from March 1, 2020, to February 28, 2021, for hospitalized patients in England aged 65 years or older. The data set was split into separate training (70%), test (15%), and validation (15%) data sets during model development. Global frailty was assessed using the Hospital Frailty Risk Score (HFRS) and specific domains of frailty were identified using the Global Frailty Scale (GFS). Comorbidity was assessed using the Charlson Comorbidity Index (CCI). Additional features employed in the random forest algorithms included age, sex, deprivation, ethnicity, discharge month and year, geographical region, hospital trust, disease severity, and International Statistical Classification of Disease, 10th Edition codes recorded during the admission. Features were selected, preprocessed, and input into a series of random forest classification algorithms developed to identify factors strongly associated with in-hospital mortality. Two models were developed; the first model included the demographic, hospital-related, and disease-related items described above, as well as individual GFS domains and CCI items. The second model was similar to the first but replaced the GFS domains and CCI items with the HFRS as a global measure of frailty. Model performance was assessed using the area under the receiver operating characteristic (AUROC) curve and measures of model accuracy. Results In total, 215,831 patients were included. The model using the individual GFS domains and CCI items had an AUROC curve for in-hospital mortality of 90% and a predictive accuracy of 83%. The model using the HFRS had similar performance (AUROC curve 90%, predictive accuracy 82%). The most important frailty items in the GFS were dementia/delirium, falls/fractures, and pressure ulcers/weight loss. The most important comorbidity items in the CCI were cancer, heart failure, and renal disease. Conclusions The physical manifestations of frailty and comorbidity, particularly a history of cognitive impairment and falls, may be useful in identification of patients who need additional support during hospitalization with COVID-19.
Reconstruction of refractive indices from spectral measurements of monodisperse aerosols

For the investigation of two-component aerosols, one needs to know the refractive indices of the two aerosol components. One problem is that they depend on temperature and pressure, so one needs for their determination a robust measurement instrument such as the FASP device, which can cope with rigid environmental conditions. In this article, we show that the FASP device is capable of measuring the needed refractive indices, if monodisperse aerosols of the pure components are provided. We determine the particle radii of the monodisperse aerosols needed for this task and investigate how accurate the measurements have to be in order to retrieve refractive indices in a sufficient quality, such that they are suitable for investigations of two-component aerosols.
Crown Ratio Models for Tectona grandis (Linn. f) Stands in Osho Forest Reserve, Oyo State, Nigeria

Crown ratio is the ratio of live crown length to tree height. It is often used as an important predictor variable for tree growth equation. It indicates tree vigor and is a useful parameter in forest health assessment. The objective of the study was to develop crown ratio prediction models for Tectona grandis. Based on the data set from the temporary sample plots, several non linear equations including logistics, Chapman Richard and exponential functions were tested. These functions were evaluated in terms of coefficient of determination () and standard error of the estimate (SEE). The significance of the estimated parameters was also verified. Plot of residuals against estimated crown ratios were observed. Although the logistic model had the highest and the least SEE, Chapman-Richard and Exponential functions were observed to be more consistent in their predictive ability; and were therefore recommended for predicting crown ratio in the stand.
The role of anillin/Mid1p during medial division and cytokinesis: from fission yeast to cancer cells

ABSTRACT Cytokinesis is the final stage of cell division cycle when cellular constituents are separated to produce two daughter cells. This process is driven by the formation and constriction of a contractile ring. Progression of these events is controlled by mechanisms and proteins that are evolutionary conserved in eukaryotes from fungi to humans. Genetic and molecular studies in different model organisms identified essential cytokinesis genes, with several conserved proteins, including the anillin/Mid1p proteins, constituting the core cytokinetic machinery. The fission yeast Schizosaccharomyces pombe represents a well-established model organism to study eukaryotic cell cycle regulation. Cytokinesis in fission yeast and mammalian cells depends on the placement, assembly, maturation, and constriction of a medially located actin-myosin contractile ring (ACR). Here, we review aspects of the ACR assembly and cytokinesis process in fission yeast and consider the regulation of such events in mammalian cells. First, we briefly describe the role of anillin during mammalian ACR assembly and cytokinesis. Second, we describe different aspects of the anillin-like protein Mid1p regulation during the S. pombe cell cycle, including its structure, function, and phospho-regulation. Third, we briefly discuss Mid1pindependent ACR assembly in S. pombe. Fourth, we highlight emerging studies demonstrating the roles of anillin in human tumourigenesis introducing anillin as a potential drug target for cancer treatment. Collectively, we provide an overview of the current understanding of medial division and cytokinesis in S. pombe and suggest the implications of these observations in other eukaryotic organisms, including humans.
A subcortical magnocellular pathway is responsible for the fast processing of topological properties of objects: A transcranial magnetic stimulation study

Rapid object recognition has survival significance. The extraction of topological properties (TP) is proposed as the starting point of object perception. Behavioral evidence shows that TP processing takes precedence over other geometric properties and can accelerate object recognition. However, the mechanism of the fast TP processing remains unclear. The magnocellular (M) pathway is well known as a fast route to convey “coarse” information, compared with the slow parvocellular (P) pathway. Here, we hypothesize that the fast processing of TP occurs in a subcortical M pathway. We applied single‐pulse transcranial magnetic stimulation (TMS) over the primary visual cortex to temporarily disrupt cortical processing. Besides, stimuli were designed to preferentially engage M or P pathways (M‐ or P‐biased conditions). We found that, when TMS disrupted cortical function at the early stages of stimulus processing, non‐TP shape discrimination was strongly impaired in both M‐ and P‐biased conditions, whereas TP discrimination was not affected in the M‐biased condition, suggesting that early M processing of TP is independent of the visual cortex, but probably occurs in a subcortical M pathway. Using an unconscious priming paradigm, we further found that early M processing of TP can accelerate object recognition by speeding up the processing of other properties, e.g., orientation. Our findings suggest that the human visual system achieves efficient object recognition by rapidly processing TP in the subcortical M pathway.
The role of PRDM1 gene polymorphism in the progression of hepatocellular carcinoma in Egyptian patients

In Egypt, hepatocellular carcinoma (HCC) ranks as the second largest cause of cancer mortality. PRDM1 is a tumor suppressor gene essential for the differentiation and regulation activity of plasma cells and T cells. It plays a vital role in T cell exhaustion of chronic viral infection and HCC. We aimed to study the role of PRDM1 gene polymorphism in HCV and HCC‐related to hepatitis C virus (HCV) progress in Egyptians. The case‐control study included 300 Egyptian patients divided into 100 HCC,100 cirrhosis, and 100 control. Laboratory investigations were done for some clinicopathological biomarkers, including liver function tests, complete blood picture, serum alpha‐fetoprotein, and hepatitis markers (HBsAg, anti‐HCV‐Ab). TaqMan allelic discrimination assay technique was used to genotype PRDM1 gene polymorphism. Multivariant analysis (logistic regression) assessed the association between the polymorphisms with HCC progression and designed the suggested model for HCC prediction. The frequencies of the G allele and GG phenotype in the control group were significantly more than that of the HCC and cirrhosis group. However, GA genotypes and A allele frequencies significantly increased in the HCC patients than in cirrhosis and controls. In addition, by comparing the HCC group and the non‐HCC group (controls and cirrhotic patients), the subjects carrying AA or GA have 2 times more risk to develop HCC than those carrying GG genotypes (odd ratio = 2.045% and 95% confidence interval are (1.123−3.722) p = 0.019). Multivariate analysis results suggested a model of Aspartate transaminase (AST), Albumin, and PRDM1 polymorphism to predict the risk of HCC in Egyptians. In addition, PRDM1 polymorphism has an association with HCC prognosis (tumor size). For PRDM1 polymorphism, the A allele and AA might be considered as HCC‐related to the HCV risk factor. In addition, AST, Albumin, and PRDM1 polymorphism predict the risk of HCC in Egyptians Therefore, the polymorphism might help in identifying the susceptible Egyptians to HCC. In addition, polymorphism might have a role in HCC prognosis.