Corrigendum to "Relative frequency of avascular necrosis of the hip as indication for primary Total Hip Arthroplasty in the USA vs. India" [J. Orthop. 36C (2023) 1-6].

[This corrects the article DOI: 10.1016/j.jor.2022.12.002.].

Relative frequency of avascular necrosis of the hip as indication for primary Total Hip Arthroplasty in the USA vs. India.

Introduction: Background: Primary total hip arthroplasty (THA) is performed for a variety of pathologies. Osteoarthritis (OA) is the most common indication for THA in the United States of America (USA). The study aims to establish the incidence of indications for THA in the USA as compared to India and to assess whether Avascular Necrosis (AVN) of the Hip is a more frequent indication for THA in India than in the USA. Methods: The National Inpatient Sample database (USA) and two Indian databases (one national and one regional) were analyzed to identify all patients who underwent primary THA within the databases. The relative frequencies of each indication for THA were determined. The patients' demographics and risk factors for AVN of the hip were recorded and assessed. The data were then compared across the patients in the USA and the patients in India. Results: 225,061 primary THA patients were identified in the USA database and 20,288 in the Indian database. The proportion of primary THA performed for AVN in the American database (5.97%) was significantly lower than the proportion of THA performed for AVN in the Indian database (51.8%). Conclusion: The relative frequency of AVN as an indication for THA is significantly higher in India than in the USA. It is important to recognize the differences in relative indications for THA between world populations, as outcomes after THA among Eastern populations of the world may not be equivalent to ones seen in their Western counterparts.

Epileptic Seizure Prediction Using Deep Transformer Model.

The electroencephalogram (EEG) is the most promising and efficient technique to study epilepsy and record all the electrical activity going in our brain. Automated screening of epilepsy through data-driven algorithms reduces the manual workload of doctors to diagnose epilepsy. New algorithms are biased either towards signal processing or deep learning, which holds subjective advantages and disadvantages. The proposed pipeline is an end-to-end automated seizure prediction framework with a Fourier transform feature extraction and deep learning-based transformer model, a blend of signal processing and deep learning - this imbibes the potential features to automatically identify the attentive regions in EEG signals for effective screening. The proposed pipeline has demonstrated superior performance on the benchmark dataset with average sensitivity and false-positive rate per hour (FPR/h) as 98.46%, 94.83% and 0.12439, 0, respectively. The proposed work shows great results on the benchmark datasets and a big potential for clinics as a support system with medical experts monitoring the patients.

Changing The Face Of Health Care Delivery: The Importance Of Youth Participation.

Young people are often the intended audience for health and social programs, yet they rarely participate in the decision-making processes that determine how these programs are designed, implemented, or evaluated. Failing to meaningfully engage young people, well-intended adults may miss opportunities to create relevant and effective programs and policies for youth. This article describes a youth-led health assessment conducted with researchers from an academic medical center accountable care organization and stakeholders from a local community center. We explain the process of recruiting and engaging youth in this project, along with health concerns they identified in their communities via a survey, including mental and sexual health, food access, and community safety, as well as recommendations the youth researchers developed for improving health and tackling inequities. Our findings show that youth participation fosters a deeper sense of empowerment and leadership potential. Policy makers and other health leaders should consider engaging young people as they make decisions about health care delivery.

A Deep Convolutional Neural Network Based Classification Of Multi-Class Motor Imagery With Improved Generalization.

Motor imagery (MI) based brain-computer interface (BCI) plays a crucial role in various scenarios ranging from post-traumatic rehabilitation to control prosthetics. Computer-aided interpretation of MI has augmented prior mentioned scenarios since decades but failed to address interpersonal variability. Such variability further escalates in case of multi-class MI, which is currently a common practice. The failures due to interpersonal variability can be attributed to handcrafted features as they failed to extract more generalized features. The proposed approach employs convolution neural network (CNN) based model with both filtering (through axis shuffling) and feature extraction to avail end-to-end training. Axis shuffling is performed adopted in initial blocks of the model for 1D preprocessing and reduce the parameters required. Such practice has avoided the overfitting which resulted in an improved generalized model. Publicly available BCI Competition-IV 2a dataset is considered to evaluate the proposed model. The proposed model has demonstrated the capability to identify subject-specific frequency band with an average and highest accuracy of 70.5% and S3.6% respectively. Proposed CNN model can classify in real time without relying on accelerated computing device like GPU.

Transfer learning based classification of optical coherence tomography images with diabetic macular edema and dry age-related macular degeneration.

We present an algorithm for identifying retinal pathologies given retinal optical coherence tomography (OCT) images. Our approach fine-tunes a pre-trained convolutional neural network (CNN), GoogLeNet, to improve its prediction capability (compared to random initialization training) and identifies salient responses during prediction to understand learned filter characteristics. We considered a data set containing subjects with diabetic macular edema, or dry age-related macular degeneration, or no pathology. The fine-tuned CNN could effectively identify pathologies in comparison to classical learning. Our algorithm aims to demonstrate that models trained on non-medical images can be fine-tuned for classifying OCT images with limited training data.

The Knowledge of Memory Aging Questionnaire: Factor Structure and Correlates in a Lifespan Sample.

The authors examined the factor structure of the Knowledge of Memory Aging Questionnaire (KMAQ) [1] using confirmatory factor analysis in a lifespan sample of 933 individuals who ranged in age from 18 to 101. Participants were college students at Louisiana State University and adults from the community enrolled in the Louisiana Healthy Aging Study (LHAS). A two-factor solution was expected, consistent with the normal and pathological memory aging dimensions that comprise the KMAQ. A bi-factor solution with items loading on a general response bias factor and either a normal or pathological knowledge-specific factor showed good model fit. Knowledge scores were correlated with demographic and cognitive performance variables. Implications of these data for clinical settings and research are considered.

Learning layer-specific edges for segmenting retinal layers with large deformations.

We present an algorithm for layer-specific edge detection in retinal optical coherence tomography images through a structured learning algorithm to reinforce traditional graph-based retinal layer segmentation. The proposed algorithm simultaneously identifies individual layers and their corresponding edges, resulting in the computation of layer-specific edges in 1 second. These edges augment classical dynamic programming based segmentation under layer deformation, shadow artifacts noise, and without heuristics or prior knowledge. We considered Duke's online data set containing 110 B-scans of 10 diabetic macular edema subjects with 8 retinal layers annotated by two experts for experimentation, and achieved a mean distance error of 1.38 pixels whereas that of the state-of-the-art was 1.68 pixels.

In vitro and in vivo radiosensitization of human glioma U251 cells induced by upregulated expression of SLC22A18.

Our previous study showed that solute carrier family 22 (organic cation transporter) member 18 (SLC22A18) downregulation via promoter methylation was associated with the development and progression of glioma, and the elevated expression of SLC22A18 was found to increase the sensitivity of glioma U251 cells to the anticancer drug 1,3-bis(2-chloroethyl)-1-nitrosourea. In this study, we investigated the possible upregulated expression of SLC22A18-induced enhancement of radiosensitivity of human glioma U251 cells in order to provide evidence in support of further clinical investigations. Stably overexpressing SLC22A18 human glioma U251 cells were generated to investigate the effect of SLC22A18 on the sensitivity of cells to irradiation in vitro using clonogenic survival assay. The apoptosis of U251 cells was examined with terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling assay. DNA damage and repair were measured using γH2AX foci. The effect of SLC22A18 on the in vivo tumor radiosensitivity was investigated in the orthotopic mice model. Upregulated expression of SLC22A18 enhanced the radiosensitivity of glioma U251 cells and also enhanced irradiation-induced apoptosis of U251 cells, but irradiation-induced apoptosis did not correlate with radiosensitizing effect of upregulated expression of SLC22A18. The repair of irradiation-induced double-strand-breaks was retarded in stably overexpressing SLC22A18 U251 cells. In the orthotopic mice model, the upregulated expression of SLC22A18 in U251 cells enhanced the effect of irradiation treatment and increased the survival time of mice. These results show that upregulated expression of SLC22A18 radiosensitizes human glioma U251 cells by suppressing DNA repair capacity.

Cohort study of the seasonal effect on nasal carriage and the presence of Mycobacterium leprae in an endemic area in the general population.

Leprosy continues to be a significant health problem in certain pockets in developing countries. Better understanding of the transmission and source of the infection would help to decipher the transmission link, leading to control of the spread of the disease. The nose is considered to be a portal of entry, suggesting an aerial route for transmission through droplet infection. The evidence suggests that many individuals from endemic countries carry Mycobacterium leprae in their nasal cavities without having obvious symptoms of leprosy. The objective of the present study was to assess the presence of M. leprae on the nasal mucosa in the general population from a leprosy-endemic pocket. M. leprae detection was carried out using PCR targeting RLEP. Four hundred subjects from an area highly endemic for leprosy were included in the study and followed up during three different seasons--winter, summer, and monsoon--for evidence of nasal exposure to M. leprae. PCR positivity for M. leprae was observed in 29%, 21% and 31% of the samples collected in winter, summer and the monsoon season, respectively. Twenty-six individuals from the cohort showed amplification for M. leprae for all seasons. Our results are consistent with reports in the literature showing widespread exposure to M. leprae in the endemic community. The results also suggest possible association of the environmental conditions (climate) with the transmission pattern and levels of exposure to M. leprae. However, the present study indicated that the population from highly endemic pockets will have exposure to M. leprae irrespective of season.

Spaced retrieval enhances memory for a name-face-occupation association in older adults with probable Alzheimer's disease.

The authors trained 4 older adults with probable Alzheimer's disease to recall a name-face-occupation association using the spaced retrieval technique. Six training sessions were administered over a 2-week period. On each trial, participants selected a target photograph and stated the target name and occupation at increasingly longer retention intervals, contingent upon successful recall. Two transfer tasks were included to determine whether the trained association transferred to the person whose picture served as the training stimulus. Results yielded a positive effect of spaced retrieval on memory for the trained association. Analyses of errors revealed that participants remembered the target person's occupation more often than his or her name. There was modest evidence of transfer of the name-face-occupation association to the actual person. Implications of these data for memory remediation and quality of life in cognitively impaired older adults are considered.

Booster sessions enhance the long-term effectiveness of spaced retrieval in older adults with probable Alzheimer's disease.

Six older adults with probable Alzheimer's disease (AD) were trained to recall a name-face association using the spaced retrieval technique. In this study, we retested these persons in a 6-month follow-up program. For half of the participants, three booster sessions were administered at 6, 12, and 18 weeks after original training to promote long-term retention of the name- face association. Results yielded a mnemonic benefit of the booster sessions at retest. Participants were successful in transferring this association to the actual person in the target photograph. These data confirmed the positive effect of spaced retrieval on recall of a name-face association over a 6-month interval. Implications for memory remediation in cognitively impaired older adults are considered.

Pictorial superiority effects in oldest-old people.

We examined memory for pictures and words in middle-age (45-59 years), young-old (60-74 years), old-old (75-89 years), and the oldest-old adults (90-97 years) in the Louisiana Healthy Aging Study. Stimulus items were presented and retention was tested in a blocked order where half of the participants studied 16 simple line drawings and the other half studied matching words during acquisition. Free recall and recognition followed. In the next acquisition/test block a new set of items was used where the stimulus format was changed relative to the first block. Results yielded pictorial superiority effects in both retention measures for all age groups. Follow-up analyses of clustering in free recall revealed that a greater number of categories were accessed (which reflects participants' retrieval plan) and more items were recalled per category (which reflects participants' encoding strategy) when pictures served as stimuli compared to words. Cognitive status and working memory span were correlated with picture and word recall. Regression analyses confirmed that these individual difference variables accounted for significant age-related variance in recall. These data strongly suggest that the oldest-old can utilise nonverbal memory codes to support long-term retention as effectively as do younger adults.

A comparison of adjusted spaced retrieval versus a uniform expanded retrieval schedule for learning a name-face association in older adults with probable Alzheimer's disease.

We compared the efficacy of two memory training schedules, adjusted spaced retrieval and uniform expanded retrieval, for learning a name-face association in 12 older adults with probable Alzheimer's disease (AD). Nine training sessions were administered on alternate days for three weeks. Results yielded a positive effect of adjusted spaced retrieval on the proportion of correct recall trials and greater success in transferring the learned information to the live target, compared to the uniform expanded retrieval schedule. These data suggest that the spacing effect may underlie the memorial benefit of spaced retrieval. Implications for practical uses of spaced retrieval are considered.

Knowledge of memory aging and Alzheimer's disease in college students and mental health professionals.

In this study, college students and mental health professionals completed the Knowledge of Memory Aging Questionnaire, Alzheimer's Disease Knowledge Test and the Fraboni Scale of Ageism before and after a lecture on normal and pathological memory issues in adulthood. Results confirmed that professionals were more knowledgeable about memory aging and Alzheimer's disease (AD) and less ageist than college students. Analyses of pre- and post-lecture response accuracy yielded comparable benefits in memory aging and AD knowledge for both groups. Correlation analyses provided modest evidence for the influence of ageist attitudes on the knowledge measures. Implications for memory education programs and psychology curriculum are considered.

Steroidogenic acute regulatory protein expression and pregnenolone synthesis in rat astrocyte cultures.

Neurosteroids are steroids synthesised by brain cells. The molecular mechanism of neurosteroidogenesis from cholesterol has not yet been revealed. We studied the potential role of the steroidogenic acute regulatory (StAR) protein in neurosterodogenesis by using rat brain astrocytes. The novelty of the study is that regulation of StAR is described in primary cultures from embryonic mesencephalon and cerebellum regions of the brain. Dibutyryl cyclic AMP (dbcAMP) treatment increased StAR protein expression in astrocyte cultures. This was observed in immunoblots of mitochondrial fractions and by immunocytochemistry. Dual-labelling showed that the cyclic AMP-induced increase in StAR immunofluorescence was localised to mitochondria. In addition, mitochondrial cytochrome P450-side chain cleavage enzyme was demonstrated with a specific antibody, indicating the potential for pregnenolone production in these cells. Radioimmunoassay on ether-extracted conditioned media of control and dbcAMP treated cells demonstrated pregnenolone production by mesencephalic and cerebellar astrocyte cultures. Furthermore, 24-h pregnenolone levels, in the presence of inhibitors of further pregnenolone metabolism, were significantly increased by dbcAMP exposure. A murine StAR promoter-luciferase fusion plasmid was activated by dbcAMP in transiently transfected mesencephalic and cerebellar astrocytes. These novel results indicate that cyclic AMP signalling can regulate StAR expression and pregnenolone production in brain astrocytes, and provide additional insight into the role of StAR in neurosteroidogenesis.

Knowledge of memory aging in adulthood.

The Knowledge of Memory Aging Questionnaire (KMAQ) measures laypersons' knowledge of memory changes in adulthood for research or educational purposes. Half of the questions pertain to normal memory aging and the other half cover pathological memory deficits due to non-normative factors, such as adult dementia. In this study, we compared memory knowledge in middle age adults (40-59 years), young-old adults (60-79 years) and very old adults (80 years and over). These data were collected as a part of the Louisiana Healthy Aging Study, a multidisciplinary population-based study that examines the determinants of healthy aging in adulthood. Results indicated that very old adults performed more poorly overall. Follow-up analyses revealed that they endorsed stereotyped views of normal memory aging more often than did the other age groups. Analyses of response accuracy by gender yielded comparable performance for men and women. Implications for research and the design of educational programs are considered.

Biological treatment of heavy metals in acid mine drainage using sulfate reducing bioreactors.

The uncontrolled release of acid mine drainage (AMD) from abandoned mines and tailing piles threatens water resources in many sites worldwide. AMD introduces elevated concentrations of sulfate ions and dissolved heavy metals as well as high acidity levels to groundwater and receiving surface water. Anaerobic biological processes relying on the activity of sulfate reducing bacteria are being considered for the treatment of AMD and other heavy metal containing effluents. Biogenic sulfides form insoluble complexes with heavy metals resulting in their precipitation. The objective of this study was to investigate the remediation of AMD in sulfate reducing bioreactors inoculated with anaerobic granular sludge and fed with an influent containing ethanol. Biological treatment of an acidic (pH 4.0) synthetic AMD containing high concentrations of heavy metals (100 mg Cu(2+)l(-1); 10 mg Ni(2+)l(-1), 10 mg Zn(2+)l(-1)) increased the effluent pH level to 7.0-7.2 and resulted in metal removal efficiencies exceeding 99.2%. The highest metal precipitation rates attained for Cu, Ni and Zn averaged 92.5, 14.6 and 15.8 mg metal l(-1) of reactor d(-1). The results of this work demonstrate that an ethanol-fed sulfidogenic reactor was highly effective to remove heavy metal contamination and neutralized the acidity of the synthetic wastewater.