Social speech and speech of the imagination : female identity and ambivalence in Bambara-Malinke oral literature

In the wake of the feminism debate, socio-ethnological studies on the place of women and femininity in occidental civilizations have been multiplying. So have they as well for "archaic" or "traditional" civilizations, which share among other common features the domination of men over women by means of patriarchal, patrilineal, and virilocal family organization. It is not surprising, then, to find that this fate of being dominated appears in the ideological discourses produced by these societies, particularly in the collective representations that are objectivized in religious texts, folklore, and oral literature. In this essay, I propose to examine two female figures in some relevant texts from Bambara-Malinke (West Africa) oral literature. Despite the many resemblances, I do not mean to assert that the social functions attributed therein to women are characteristic in the same terms of other patriarchal societies of Black Africa.//: Translated by Lee Haring. Issue title; "African Oral Traditions.

SelFormaly: Towards Task-Agnostic Unified Anomaly Detection

The core idea of visual anomaly detection is to learn the normality from normal images, but previous works have been developed specifically for certain tasks, leading to fragmentation among various tasks: defect detection, semantic anomaly detection, multi-class anomaly detection, and anomaly clustering. This one-task-one-model approach is resource-intensive and incurs high maintenance costs as the number of tasks increases. This paper presents SelFormaly, a universal and powerful anomaly detection framework. We emphasize the necessity of our off-the-shelf approach by pointing out a suboptimal issue with fluctuating performance in previous online encoder-based methods. In addition, we question the effectiveness of using ConvNets as previously employed in the literature and confirm that self-supervised ViTs are suitable for unified anomaly detection. We introduce back-patch masking and discover the new role of top k-ratio feature matching to achieve unified and powerful anomaly detection. Back-patch masking eliminates irrelevant regions that possibly hinder target-centric detection with representations of the scene layout. The top k-ratio feature matching unifies various anomaly levels and tasks. Finally, SelFormaly achieves state-of-the-art results across various datasets for all the aforementioned tasks.Comment: 11 pages, 7 figure

Bridging the prosody GAP: Genetic Algorithm with People to efficiently sample emotional prosody

The human voice effectively communicates a range of emotions with nuanced variations in acoustics. Existing emotional speech corpora are limited in that they are either (a) highly curated to induce specific emotions with predefined categories that may not capture the full extent of emotional experiences, or (b) entangled in their semantic and prosodic cues, limiting the ability to study these cues separately. To overcome this challenge, we propose a new approach called 'Genetic Algorithm with People' (GAP), which integrates human decision and production into a genetic algorithm. In our design, we allow creators and raters to jointly optimize the emotional prosody over generations. We demonstrate that GAP can efficiently sample from the emotional speech space and capture a broad range of emotions, and show comparable results to state-of-the-art emotional speech corpora. GAP is language-independent and supports large crowd-sourcing, thus can support future large-scale cross-cultural research.Comment: Accepted to CogSci'2

Effects of 12 weeks nutrition education on nutritional status in hemodialysis patients

Protein-energy malnutrition is present in a large proportion of patients with end stage renal disease and, is a strong risk factor for mortality in these patients. This study was aimed to evaluate the effectiveness of 12-weeks nutrition education during the hemodialysis session for the improvement of nutritional status. From the June 2011 to the September 2011, patients who were on regular hemodialysis in Pusan National University Hospital were enrolled in this study. In education group, intensive nutrition education was performed by the hemodialysis nurse, for fifty to sixty minutes during the hemodialysis session, once a week. Curriculum for renal nutrition includes regular taking of their medication, intake of moderate amount of protein and sufficient calories, reduction of water, salt, potassium and phosphate intake. Otherwise, any education program was not performed in patients of control group. Nutrition status was assessed by the subjective global assessment (SGA),body mass index (BMI), triceps skinfold thickness (TSF), arm muscle area(AMC) and laboratory markers such as serum albumin, serum blood urea nitrogen(BUN) and hemoglobin(Hb) level before and after the education. Effect of nutrition education was analyzed using ANCOVA test. A total of 49 patients were enrolled in this study and nutrition education was provided to 25 hemodialysis patients. Their mean age was 57.20±15.49 in education group and 55.13±14.42 in control groupand male was 56.0% in education group and 50.0% in control group and, other baseline characteristics were not significantly different between two groups. After the 12-week education, significant improvement was found in SGA, serum albumin, BUN and Hb level. SGA score was improved from 6.36±0.99 to 6.72±0.61 in education group, compared to control group(6.38±0.88 to 6.42±0.88, p=0.029 ). Improvement of serum albumin level, BUN and Hb was as follows: serum albumin(4.23±0.28 to 4.30±0.25 in education group, 4.28±0.39 to 4.13±0.34 in control group, p=0.040), serum Hb(10.45±1.49 to 11.13±1.74 in education group, 10.51±1.12 to 10.04±1.02 in control group, P=0.004), serum BUN(66.52±18.76 to 70.94±17.26 in education group, 59.50±13.61 to 58.68±13.88 in control group, p=0.032). 12 week nutrition education during the hemodialysis session by hemodialysis nurse was effectiv

Deterioration in Global Organization of Structural Brain Networks in Schizophrenia: A Diffusion MRI Tractography Study

Schizophrenia is a heterogenous neuropsychiatric disorder with varying degrees of altered connectivity in a wide range of brain areas. Network analysis using graph theory allows researchers to integrate and quantify relationships between widespread changes in a network system. This study examined the organization of brain structural networks by applying diffusion MRI, probabilistic tractography, and network analysis to 48 schizophrenia patients and 24 healthy controls. T1-weighted MR images obtained from all participants were parcellated into 87 regions of interests (ROIs) according to a prior anatomical template and registered to diffusion-weighted images (DWI) of the same subjects. Probabilistic tractography was performed to obtain sets of white matter tracts between any two ROIs and determine the connection probabilities between them. Connectivity matrices were constructed using these estimated connectivity probabilities, and several network properties related to network effectiveness were calculated. Global efficiency, local efficiency, clustering coefficient, and mean connectivity strength were significantly lower in schizophrenia patients (p = 0.042, p = 0.011, p = 0.013, p = 0.046). Mean betweenness centrality was significantly higher in schizophrenia (p = 0.041). Comparisons of node wise properties showed trends toward differences in several brain regions. Nodal local efficiency was consistently lower in the basal ganglia, frontal, temporal, cingulate, diencephalon, and precuneus regions in the schizophrenia group. Inter-group differences in nodal degree and nodal betweenness centrality varied by region and showed inconsistent results. Robustness was not significantly different between the study groups. Significant positive correlations were found between t-score of color trails test part-1 and local efficiency and mean connectivity strength in the patient group. The findings of this study suggest that schizophrenia results in deterioration of the global network organization of the brain and reduced ability for information processing

A Case of Severe Acute Kidney Injury by Near-Drowning

Acute kidney injury (AKI) secondary to near-drowning is rarely described and poorly understood. Only few cases of severe isolated AKI resulting from near-drowning exist in the literature. We report a case of near-drowning who developed to isolated AKI due to acute tubular necrosis (ATN) requiring dialysis. A 21-yr-old man who recovered from near-drowning in freshwater 3 days earlier was admitted to our hospital with anuria and elevated level of serum creatinine. He needed five sessions of hemodialysis and then renal function recovered spontaneously. Renal biopsy confirmed ATN. We review the existing literature on near-drowning-induced AKI and discuss the possible pathogenesis

Nlrp3, Csf3, and Edn1 in Macrophage Response to Saturated Fatty Acids and Modified Low-Density Lipoprotein

Background and Objectives: The relationship between metabolic stress, inflammation, and cardiovascular disease is being studied steadily. The aim of this study was to evaluate the effect of palmitate (PA) and minimally modified low-density lipoprotein (mmLDL) on macrophages and to identify the associated pathways. Methods: J774 macrophages were incubated with PA or mmLDL and lipopolysaccharide (LPS). Secretion of inflammatory chemokines and the expression of corresponding genes were determined. The phosphorylation of extracellular signal-regulated kinase (ERK) mitogen-activated protein kinase was also assessed. RNA sequencing of macrophages was performed to identify the genes regulated by PA or mmLDL. Some of the genes regulated by the 2 agents were validated by knocking down the cells using small interfering RNA. Results: PA or mmLDL promoted the secretion of interleukin (IL)-6 and IL-1 beta in LPS-stimulated macrophages, and this was accompanied by higher phosphorylation of ERK. RNA sequencing revealed dozens of genes that were regulated in this process, such as Csf3and Edn1, which were affected by PA and mmLDL, respectively. These agents also increased NIrp3 expression. The effect of Csf3 or Edn1 silencing on inflammation was modest, whereas toll-like receptor (TLR) 4 inhibition reduced a large proportion of macrophage activation. Conclusions: We demonstrated that the proinflammatory milieu with high levels of PA or mmLDL promoted macrophage activation and the expression of associated genes such as NIrp3, 613, and Edn1. Although the TLR4 pathway appeared to be most relevant, additional role of other genes in this process provided insights regarding the potential targets for intervention.11Nsciescopu

Psychometric properties of the Stress and Anxiety to Viral Epidemics-9 scale among frontline nursing professionals working in the COVID-19 inpatients ward

This study examined the reliability and validity of the Stress and Anxiety to Viral Epidemics-9 (SAVE-9) scale among nursing professionals working in a COVID-19 inpatient ward. An anonymous, online survey was conducted among working frontline nursing professionals between April 7 and 18, 2022. We collected information about the participants' age, sex, years of employment, shift work, and marital status. In addition, the participants were asked whether they had dealt with infected patients recently, and whether they had been quarantined, infected, or vaccinated. SAVE-9, Generalized Anxiety Disorder-7 (GAD-7), and Patient Health Questionnaire-9 (PHQ-9) were used to evaluate symptoms. We used the Confirmatory Factor Analysis (CFA) to determine the validity of the two-factor model of the SAVE-9 scale. We also tested reliability and convergent validity using the PHQ-9 and GAD-7 scales. A total of 136 responses was analyzed, and CFA for two-factors model of the SAVE-9 scale showed a good model fit among frontline nursing professionals (CFI = 1.000, TLI = 1.040, RMSEA = 0.000, RSMR = 0.060). Multi-group CFAs revealed that the SAVE-9 scale can measure work-related stress and viral anxiety in the same way across sex, having depression, or having generalized anxiety. The internal consistency was shown to be good, and the SAVE-9 scale was significantly correlated with the GAD-7 (r = 0.328, p < 0.001) and PHQ-9 score (r = 0.361, p < 0.001). The two-factor model of the SAVE-9 is a valid and reliable scale for frontline nursing professionals