Miracle-dz/UniFAR-FTUs huggingface dataset:
“Sorry I Didn’t Hear You.” The Ethics of Voice Computing and AI in High Risk Mental Health Populations

Abstract This article examines the ethical and policy implications of using voice computing and artificial intelligence to screen for mental health conditions in low income and minority populations. Mental health is unequally distributed among these groups, which is further exacerbated by increased barriers to psychiatric care. Advancements in voice computing and artificial intelligence promise increased screening and more sensitive diagnostic assessments. Machine learning algorithms have the capacity to identify vocal features that can screen those with depression. However, in order to screen for mental health pathology, computer algorithms must first be able to account for the fundamental differences in vocal characteristics between low income minorities and those who are not. While researchers have envisioned this technology as a beneficent tool, this technology could be repurposed to scale up discrimination or exploitation. Studies on the use of big data and predictive analytics demonstrate that low income minority populations already face significant discrimination. This article urges researchers developing AI tools for vulnerable populations to consider the full ethical, legal, and social impact of their work. Without a national, coherent framework of legal regulations and ethical guidelines to protect vulnerable populations, it will be difficult to limit AI applications to solely beneficial uses. Without such protections, vulnerable populations will rightfully be wary of participating in such studies which also will negatively impact the robustness of such tools. Thus, for research involving AI tools like voice computing, it is in the research community’s interest to demand more guidance and regulatory oversight from the federal government.
The cytotoxic activity of Salvia officinalis L. and Rosmarinus officinalis L. Leaves extracts on human glioblastoma cell line and their antioxidant effect

Abstract Background Rosmarinus officinalis L. (Rosemary) and Salvia officinalis L. (Sage) are two Mediterranean species growing spontaneously in some area in Morocco. They are used in traditional and complementary medicine to treat numerous disorders. The aim of this work was to assess the in vitro antitumoral effect of the methanolic total extract prepared from rosemary and sage on human glioblastoma cell line (42 GMBA), conjointly with their antioxidant activity. Methods The accelerated solvent extractor was used to obtain the total extract of the studied plants. The antitumor activity was performed using the microculture tetrazolium cytotoxique assay while the antioxidant effect was evaluated using the ferric reducing antioxidant power (FRAP), and the 1,1-diphenyl-2-picrylhydrazyl (DPPH) free radical scavenging assay. Results Our results show that the total extract of R.O and S.O have a cytotoxic effect on glioblastoma but not on cortical neurons. On the other hand, the results obtained in the FRAP and DPPH tests show a dose-dependent antioxidant activity correlated with an important level of phenols and flavonoids. Conclusion Rosmarinus officinalis L. and Salvia officinalis L. were found to have an antitumoral activity which may be linked, probably, to an antioxidant process.
Detection of Flaws in Concrete Using Ultrasonic Tomography and Convolutional Neural Networks

Non-destructive testing of concrete for defects detection, using acoustic techniques, is currently performed mainly by human inspection of recorded images. The images consist of the inside of the examined elements obtained from testing devices such as the ultrasonic tomograph. However, such an automatic inspection is time-consuming, expensive, and prone to errors. To address some of these problems, this paper aims to evaluate a convolutional neural network (CNN) toward an automated detection of flaws in concrete elements using ultrasonic tomography. There are two main stages in the proposed methodology. In the first stage, an image of the inside of the examined structure is obtained and recorded by performing ultrasonic tomography-based testing. In the second stage, a convolutional neural network model is used for automatic detection of defects and flaws in the recorded image. In this work, a large and pre-trained CNN is used. It was fine-tuned on a small set of images collected during laboratory tests. Lastly, the prepared model was applied for detecting flaws. The obtained model has proven to be able to accurately detect defects in examined concrete elements. The presented approach for automatic detection of flaws is being developed with the potential to not only detect defects of one type but also to classify various types of defects in concrete elements.
Risk Factors Associated with Endometrial Pathology in Premenopausal Breast Cancer Patients Treated with Tamoxifen

Purpose To evaluate factors associated with endometrial pathology during tamoxifen use in premenopausal breast cancer (BC) patients. Materials and Methods We reviewed the medical records of premenopausal BC patients treated with tamoxifen who underwent endometrial biopsy with or without hysteroscopy. Clinical characteristics were compared between women with endometrial pathology (endometrial hyperplasia or cancer) and those with normal histology or endometrial polyps. Results Among 284 endometrial biopsies, endometrial hyperplasia was diagnosed in 7 patients (2.5%), endometrial cancer was diagnosed in 5 patients (1.8%), normal histology was noted in 146 patients (51.4%), and endometrial polyp was present in 114 patients (40.1%). When comparing women with endometrial cancer (n=5) to women with normal histology, abnormal uterine bleeding was more common (p=0.007), and endometrial thickness was greater (p=0.007) in women with endometrial cancer. Chemotherapy for BC was also more common in patients with endometrial cancer (p=0.037). When comparing women with endometrial polyps and those with endometrial hyperplasia or cancer, the presence of abnormal uterine bleeding was more common in patients with endometrial hyperplasia or cancer (p<0.001); however, tamoxifen duration and endometrial thickness did not differ significantly between the two groups. Conclusion In premenopausal BC patients treated with tamoxifen, abnormal uterine bleeding, increased endometrial thickness, and chemotherapy for BC were associated with the occurrence of endometrial cancer. These findings may provide useful information for gynecologic surveillance and counseling during tamoxifen treatment in premenopausal BC patients.
Combined Pre- and Posttreatment of Paraoxon Exposure

Aims: Organophosphates (OPCs), useful agents as pesticides, also represent a serious health hazard. Standard therapy with atropine and established oxime-type enzyme reactivators is unsatisfactory. Experimental data indicate that superior therapeutic results can be obtained when reversible cholinesterase inhibitors are administered before OPC exposure. Comparing the protective efficacy of five such cholinesterase inhibitors (physostigmine, pyridostigmine, ranitidine, tacrine, or K-27), we observed best protection for the experimental oxime K-27. The present study was undertaken in order to determine if additional administration of K-27 immediately after OPC (paraoxon) exposure can improve the outcome. Methods: Therapeutic efficacy was assessed in rats by determining the relative risk of death (RR) by Cox survival analysis over a period of 48 h. Animals that received only pretreatment and paraoxon were compared with those that had received pretreatment and paraoxon followed by K-27 immediately after paraoxon exposure. Results: Best protection from paraoxon-induced mortality was observed after pretreatment with physostigmine (RR = 0.30) and K-27 (RR = 0.34). Both substances were significantly more efficacious than tacrine (RR = 0.67), ranitidine (RR = 0.72), and pyridostigmine (RR = 0.76), which were less efficacious but still significantly reduced the RR compared to the no-treatment group (paraoxon only). Additional administration of K-27 immediately after paraoxon exposure (posttreatment) did not further reduce mortality. Statistical analysis between pretreatment before paraoxon exposure alone and pretreatment plus K-27 posttreatment did not show any significant difference for any of the pretreatment regimens. Conclusions: Best outcome is achieved if physostigmine or K-27 are administered prophylactically before exposure to sublethal paraoxon dosages. Therapeutic outcome is not further improved by additional oxime therapy immediately thereafter.
Formulation and Optimization of Nanoemulsions Using the Natural Surfactant Saponin from Quillaja Bark

Replacing synthetic surfactants by natural alternatives when formulating nanoemulsions has gained attention as a sustainable approach. In this context, nanoemulsions based on sweet almond oil and stabilized by saponin from Quillaja bark with glycerol as cosurfactant were prepared by the high-pressure homogenization method. The effects of oil/water (O/W) ratio, total surfactant amount, and saponin/glycerol ratio on their stability were analyzed. The formation and stabilization of the oil-in-water nanoemulsions were analyzed through the evaluation of stability over time, pH, zeta potential, and particle size distribution analysis. Moreover, a design of experiments was performed to assess the most suitable composition based on particle size and stability parameters. The prepared nanoemulsions are, in general, highly stable over time, showing zeta potential values lower than −40 mV, a slight acid behavior due to the character of the components, and particle size (in volume) in the range of 1.1 to 4.3 µm. Response surface methodology revealed that formulations using an O/W ratio of 10/90 and 1.5 wt% surfactant resulted in lower particle sizes and zeta potential, presenting higher stability. The use of glycerol did not positively affect the formulations, which reinforces the suitability of preparing highly stable nanoemulsions based on natural surfactants such as saponins.
EXO1 resection at G-quadruplex structures facilitates resolution and replication

Abstract G-quadruplexes represent unique roadblocks to DNA replication, which tends to stall at these secondary structures. Although G-quadruplexes can be found throughout the genome, telomeres, due to their G-richness, are particularly predisposed to forming these structures and thus represent difficult-to-replicate regions. Here, we demonstrate that exonuclease 1 (EXO1) plays a key role in the resolution of, and replication through, telomeric G-quadruplexes. When replication forks encounter G-quadruplexes, EXO1 resects the nascent DNA proximal to these structures to facilitate fork progression and faithful replication. In the absence of EXO1, forks accumulate at stabilized G-quadruplexes and ultimately collapse. These collapsed forks are preferentially repaired via error-prone end joining as depletion of EXO1 diverts repair away from error-free homology-dependent repair. Such aberrant repair leads to increased genomic instability, which is exacerbated at chromosome termini in the form of dysfunction and telomere loss.
A short dance-exercise intervention as a strategy for improving quality of life in inactive workers

Objective: To investigate the effects of a short exercise intervention based on the use of a Zumba Fitness® programme on the quality of life (QoL) in inactive adult workers. Design: Non-experimental pre-test/post-test study involving one experimental group of inactive university workers. Setting: Riobamba in the Andean region of central Ecuador. Methods: A total of 60 inactive adults working at a university (age: 39 ± 1.0 years; 80% women, who used to perform < 150 min of moderate-vigorous physical activity per week) completed a 5-week Zumba Fitness® exercise intervention (three classes per week, 60 minutes per class; outside of work hours). QoL was assessed using the 36-Item Short Form Health Survey (SF-36) administered at baseline, post-intervention and 2 months after the intervention. Data were analysed using a per-protocol analysis. Results: The 5-week intervention improved six out of eight subscales of QoL, including general health (baseline: 63.6±2.51; post-intervention: 68.0±2.5; p = .007), physical role (baseline: 82.1±3.8; post-intervention: 90.6±3.3; p = .029), emotional role (baseline: 71.3±5.0; post-intervention: 88.3±3.9; p = .001), social functioning (baseline: 76.9±2.6; post-intervention: 83.9 ± 2.6; p = .010), vitality (baseline: 60.4±2.8; post-intervention: 69.8±2.4; p < .001), mental health (baseline: 72.4±2.5; post-intervention: 80.4±2.3; p < .001) and the health transition perception item (baseline: 53.9±3.5; post-intervention: 63.6±3.1; p = .001). No statistical differences were found between post-intervention and 2-month follow-up; however, the majority of subscales which improved post-intervention (general health, emotional role, social functioning, vitality and mental health) were maintained at 2-month follow-up showing differences (p < .05) compared to baseline. Conclusion: A 5-week exercise intervention based on Zumba Fitness® programme could improve QoL in inactive adult workers and most improvements could be maintained at 2 months post-intervention.
Video-interpreting for cognitive assessments: An intervention study and micro-costing analysis

Introduction Evidence in the literature demonstrates the reliability of cognitive screening assessments using video technology in English-speaking older populations. However, this has not been tested in older culturally and linguistically diverse (CALD) populations who require an interpreter, and what the associated costs would be. The aim was to determine if the Rowland Universal Dementia Assessment Scale (RUDAS) and the Geriatric Depression Scale (GDS) could be reliably administered over video-interpreting methods compared with face-to-face interpreting. In addition, the study aims to compare the costs of video-interpreting with the costs of face-to-face interpreting. Methods We compared similarity of the RUDAS and GDS scores when administered face-to-face and via video-interpreting. The similarity of scores between methods was analysed using paired t-tests and Bland–Altman plots. A costing analysis was done using a micro-costing approach to estimate the costs of video-interpreting compared with face-to-face, extrapolated to a national level. Results Analysis found no significant differences in the mean assessment scores between video-interpreting and face-to-face (RUDAS mean difference: −0.36; 95% confidence interval (CI): −1.09, 0.38, GDS mean difference: 0.22; 95% CI: −0.38, 0.83). Bland–Altman plots demonstrated that 71% of RUDAS scores and 82% of GDS scores were within the maximum allowed difference of ±2 units. Costing analysis showed a A$7 saving per assessment when using video-interpreting compared with face-to-face, with a total national saving of A$247,350. Discussion Video-interpreting was found to be as reliable as face-to-face interpreting for both RUDAS and GDS assessments. Cost analysis indicates that video-interpreting is cheaper than face-to-face interpreting.
An effective early death scoring system for predicting early death risk in de novo acute promyelocytic leukemia

Abstract The Sanz risk, which was originally used to predict the risk of acute promyelocytic leukemia (APL) relapse, is a recognized method to predict the prognosis of APL. About 570 de novo APL patients admitted to our center were randomly divided into a training cohort (N = 344) and validation cohort (N = 226). Multivariate analysis of training cohort demonstrated that age >52 (OR = 5.170, p = .002), white blood cell count >10 × 109/L (OR = 9.062, p < .001), PLT count ≤10 × 109/L (OR = 4.254, p < .001), and LDH level >500 U/L (OR= 3.002, p = .046) were independent risk factors for early death. A risk score (age >52: 1.5 points; WBC >10 × 109/L: 2 points; PLT ≤10 × 109/L: 1 point; LDH >500 U/L: 1 point) was used to predict early death risk. The model shows a better predictive power of early death in training cohort and validation cohort compared with Sanz risk stratification.
Hardhat-Wearing Detection Based on a Lightweight Convolutional Neural Network with Multi-Scale Features and a Top-Down Module

Construction sites are dangerous due to the complex interaction of workers with equipment, building materials, vehicles, etc. As a kind of protective gear, hardhats are crucial for the safety of people on construction sites. Therefore, it is necessary for administrators to identify the people that do not wear hardhats and send out alarms to them. As manual inspection is labor-intensive and expensive, it is ideal to handle this issue by a real-time automatic detector. As such, in this paper, we present an end-to-end convolutional neural network to solve the problem of detecting if workers are wearing hardhats. The proposed method focuses on localizing a person’s head and deciding whether they are wearing a hardhat. The MobileNet model is employed as the backbone network, which allows the detector to run in real time. A top-down module is leveraged to enhance the feature-extraction process. Finally, heads with and without hardhats are detected on multi-scale features using a residual-block-based prediction module. Experimental results on a dataset that we have established show that the proposed method could produce an average precision of 87.4%/89.4% at 62 frames per second for detecting people without/with a hardhat worn on the head.
Copy Number Variations and Expression Levels of Guanylate-Binding Protein 6 Gene Associated with Growth Traits of Chinese Cattle

Simple Summary Our study identified the copy number variations (CNVs) and transcriptional expressions of guanylate-binding protein 6 (GBP6) in Chinese cattle, as well as analyzed the association of CNVs and expressions with the growth traits of Chinese cattle. The results showed Xianan cattle with gain types (Log22−ΔΔCt > 0.5) of CNVs of GBP6 had highest relative gene expression levels in the muscle tissues and displayed superior phenotypic values of body weight, cannon circumference and chest circumference. Our study suggested that CNV gain types of GBP6 could be used as the candidate markers in the cattle-breeding program for growth traits. Abstract Association studies have indicated profound effects of copy number variations (CNVs) on various phenotypes in different species. In this study, we identified the CNV distributions and expression levels of guanylate-binding protein 6 (GBP6) associated with the growth traits of Chinese cattle. The results showed that the phenotypic values of body size and weight of Xianan (XN) cattle were higher than those of Nanyang (NY) cattle. The medium CNV types were mostly identified in the XN and NY breeds, but their CNV distributions were significantly different (adjusted p < 0.05). The association analysis revealed that the body weight, cannon circumference and chest circumference of XN cattle had significantly different values in different CNV types (p < 0.05), with CNV gain types (Log22−ΔΔCt > 0.5) displaying superior phenotypic values. We also found that transcription levels varied in different tissues (p < 0.001) and the CNV gain types showed the highest relative gene expression levels in the muscle tissue, consistent with the highest phenotypic values of body weight and cannon circumference among the three CNV types. Consequently, our results suggested that CNV gain types of GBP6 could be used as the candidate markers in the cattle-breeding program for growth traits.
The Effect of Exercise Training on Brain Structure and Function in Older Adults: A Systematic Review Based on Evidence from Randomized Control Trials

Accumulating evidence suggests that exercise training is associated with improvements in brain health in older adults, yet the extant literature is insufficient in detailing why exercise training facilitates brain structure and function. Specifically, few studies have employed the FITT-VP principle (i.e., Frequency, Intensity, Time, Type, Volume, and Progression) to characterize the exercise exposure, thus research is yet to specify which characteristics of exercise training benefit brain outcomes. To determine whether exercise training is consequential to cognitive and brain outcomes, we conducted a systematic review investigating the effects of exercise training on brain structure and function in older adults. PubMed and Scopus were searched from inception to February 2020, and study quality was assessed using the Cochrane risk-of-bias tool. A total of 24 randomized controlled trials were included. This systematic review indicates that older adults involved in exercise training may derive general benefits to brain health, as reflected by intervention-induced changes in brain structure and function. However, such benefits are dependent upon the dose of the exercise intervention. Importantly, current evidence remains limited for applied exercise prescriptions (e.g., volume, progression) and future research is needed to clarify the effects of exercise training on cognitive and brain outcomes in older adults.
Distinct Signaling Pathways Between Human Macrophages and Primary Gingival Epithelial Cells by Aggregatibacter actinomycetemcomitans

In aggressive periodontitis, the dysbiotic microbial community in the subgingival crevice, which is abundant in Aggregatibacter actinomycetemcomitans, interacts with extra- and intracellular receptors of host cells, leading to exacerbated inflammation and subsequent tissue destruction. Our goal was to understand the innate immune interactions of A. actinomycetemcomitans with macrophages and human gingival epithelial cells (HGECs) on the signaling cascade involved in inflammasome and inflammatory responses. U937 macrophages and HGECs were co-cultured with A. actinomycetemcomitans strain Y4 and key signaling pathways were analyzed using real-time PCR, Western blotting and cytokine production by ELISA. A. actinomycetemcomitans infection upregulated the transcription of TLR2, TLR4, NOD2 and NLRP3 in U937 macrophages, but not in HGECs. Transcription of IL-1β and IL-18 was upregulated in macrophages and HGECs after 1 h interaction with A. actinomycetemcomitans, but positive regulation persisted only in macrophages, resulting in the presence of IL-1β in macrophage supernatant. Immunoblot data revealed that A. actinomycetemcomitans induced the phosphorylation of AKT and ERK1/2, possibly leading to activation of the NF-κB pathway in macrophages. On the other hand, HGEC signaling induced by A. actinomycetemcomitans was distinct, since AKT and 4EBP1 were phosphorylated after stimulation with A. actinomycetemcomitans, whereas ERK1/2 was not. Furthermore, A. actinomycetemcomitans was able to induce the cleavage of caspase-1 in U937 macrophages in an NRLP3-dependent pathway. Differences in host cell responses, such as those seen between HGECs and macrophages, suggested that survival of A. actinomycetemcomitans in periodontal tissues may be favored by its ability to differentially activate host cells.