Exploring the experience of being viewed as “not sick enough”: a qualitative study of women recovered from anorexia nervosa or atypical anorexia nervosa

Background Despite common misconceptions, an individual may be seriously ill with a restrictive eating disorder without an outwardly recognizable physical sign of the illness. The aim of this qualitative study was to investigate the perspectives of individuals who have previously battled a restrictive eating disorder who were considered “not sick enough” by others (e.g., peers, families, healthcare professionals) at some point during their illness, and to understand the perceived impact on the illness and recovery. Such misconceptions are potentially damaging, and have been previously linked with delayed help-seeking and poorer clinical outcomes. Methods Seven women who had recovered from anorexia nervosa or atypical anorexia nervosa participated in semi-structured interviews. Interviews were transcribed and interpretive phenomenological analysis was used. Results Three main themes emerged: (1) dealing with the focus upon one’s physical appearance while battling a mental illness, (2) “project perfect”: feeling pressure to prove oneself, and (3) the importance of being seen and understood. Participants reported that their symptoms were occasionally met with trivialization or disbelief, leading to shame, confusion, despair, and for some, deterioration in eating disorder symptoms which drove further weight loss. In contrast, social support and being understood were viewed as essential for recovery. Conclusion To facilitate treatment seeking and engagement, and to optimize chances of recovery, greater awareness of diverse, non-stereotypical presentations of restrictive eating disorders is needed which challenge the myth that weight is the sole indicator of the presence or severity of illness.

Toxicological evaluation of a Nigeria-made polyherbal product on selected reproductive functions in adult male Wistar rats

Ruzu bitters black for men (RBBM) is a polyherbal product widely used amongst men in Nigeria to enhance libido, rejuvenate male organs and to manage erectile dysfunctions, prostate anomalies, weak erection, and premature ejaculation. This study was carried out to investigate the toxicological effect from the use of herbal product. Acute toxicity test of RBBM on rats was carried out in two phases; 10 mg/kg, 100 mg/kg and 1000 mg/kg for phase I and 1600mg/kg, 2900 mg/kg and 5000 mg/kg for phase II, were administered respectively. For sub-acute toxicity, two groups of 5 animals each received RBBM (0.87 mg/kg and1.17 mg/kg respectively) and a third group received water orally for 28 days. The study analyzed the median lethal dosage, and sperm morphology, sperm motility, sperm count, sperm viability and histology of the testes as indices for sub-acute toxicity. No death was recorded for the acute and sub-acute studies but there was a moderate physical sign of toxicity. In the sub-acute toxicity study, there was a significant increase (p˂0.05) in testicular weight of Group 1 animals. Also, sperm count, and sperm motility increases significantly (p˂0.05) while there was a decrease in multiple tail sperm across the test groups. RBBM is not toxic to sperm morphology and causes no death at 5000 mg/kg in male albino Wistar rats.

Sports Training Health Analysis Algorithm Based on Heart Rhythm Feature Extraction and Convolutional Neural Network

Intelligent sports equipment and software have emerged in the field of sports as a result of the advancement of information technology, allowing professional athletes to collect and visually display the movement and physical signs of the human body to aid in the planning of sports strategies. Intuitive data, on the other hand, cannot assist ordinary people who lack professional knowledge in exercising correctly. As a result, in the field of intelligent sports and health, effective use of collected exercise and physical sign data to analyze the user’s personal physical condition and generate reasonable exercise suggestions has emerged as a research direction. In humans, the heart sound signal is a biological signal. It can help people detect and monitor heart health problems by analyzing the characteristics of heart sound signals. The goal of this paper is to use heart sound to identify and analyze athletes’ training health. It provides a revolutionary health analysis algorithm based on heart rhythm feature extraction and convolutional neural networks, which is based on exercise training. It greatly improves the accuracy of the recognition and prediction of the athlete’s training health status.

Contribution of imaging to the management of acute generalized peritonitis in the visceral surgery department of the Sino-Guinean hospital

Introduction: Acute generalized peritonitis is a life-threatening emergency. It is most often secondary to a perforation of the digestive organ and or to the spread of an intra-abdominal septic area. Methodology: We carried out a descriptive retrospective study lasting from January 1, 2018 to December 31, 2018 on the contribution of imaging in the management of acute generalized peritonitis general surgery department of the hospital Chinese-Guinean. Were included in our study, all records of patients with acute generalized peritonitis will be confirmed by imaging. We carried out an exhaustive recruitment of all complete files. Our variables were analyzed using the Epi-info 7.2 software. Result: Out of 578 hospitalized patients, peritonitis represented 8.8% of cases. We noted a male predominance with 60.8% and a Sex-ratio: M / F = 1.6 whose mean age was 41.9 ± 13.5 years; extremes ranging from 17 and 67 years with a modal class ≥ 30 years or 88.3%. Housewives were the most collected with 25.5% Abdominal pain was the main reason for consultation, i.e., 90.2%, the physical sign was dominated by a convex and sensitive Douglas-fir, i.e., 27.5%. The clinical diagnosis was supported by abdomen without preparation and abdominal ultrasound; performed in 84.3% and 15.7% of patients, respectively. We noted a morbidity rate of 15.7% dominated by septic shock (15.7%). Conclusion: Our study made it possible to determine the contribution of imaging in the management. In addition, in our study, the abdomen without preparation and the abdomino-pelvic ultrasound were revealed as a key link in the management of acute generalized peritonitis.

Diagnosing breast cancer tumors using stacked ensemble model

Breast cancer is the most common cancer that progresses from cells in the breast tissue among women. Early-stage detection could reduce death rates significantly, and the detection-stage determines the treatment process. Mammography is utilized to discover breast cancer at an early stage prior to any physical sign. However, mammography might return false-negative, in which case, if it is suspected that lesions might have cancer of chance greater than two percent, a biopsy is recommended. About 30 percent of biopsies result in malignancy that means the rate of unnecessary biopsies is high. So to reduce unnecessary biopsies, recently, due to its excellent capability in soft tissue imaging, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) has been utilized to detect breast cancer. Nowadays, DCE-MRI is a highly recommended method not only to identify breast cancer but also to monitor its development, and to interpret tumorous regions. However, in addition to being a time-consuming process, the accuracy depends on radiologists’ experience. Radiomic data, on the other hand, are used in medical imaging and have the potential to extract disease characteristics that can not be seen by the naked eye. Radiomics are hard-coded features and provide crucial information about the disease where it is imaged. Conversely, deep learning methods like convolutional neural networks(CNNs) learn features automatically from the dataset. Especially in medical imaging, CNNs’ performance is better than compared to hard-coded features-based methods. However, combining the power of these two types of features increases accuracy significantly, which is especially critical in medicine. Herein, a stacked ensemble of gradient boosting and deep learning models were developed to classify breast tumors using DCE-MRI images. The model makes use of radiomics acquired from pixel information in breast DCE-MRI images. Prior to train the model, radiomics had been applied to the factor analysis to refine the feature set and eliminate unuseful features. The performance metrics, as well as the comparisons to some well-known machine learning methods, state the ensemble model outperforms its counterparts. The ensembled model’s accuracy is 94.87% and its AUC value is 0.9728. The recall and precision are 1.0 and 0.9130, respectively, whereas F1-score is 0.9545.

The diagnostic certainty levels of junior clinicians: A retrospective cohort study

Background: Clinical decision-making is influenced by many factors, including clinicians’ perceptions of the certainty around what is the best course of action to pursue. Objective: To characterise the documentation of working diagnoses and the associated level of real-time certainty expressed by clinicians and to gauge patient opinion about the importance of research into clinician decision certainty. Method: This was a single-centre retrospective cohort study of non-consultant grade clinicians and their assessments of patients admitted from the emergency department between 01 March 2019 and 31 March 2019. De-identified electronic health record proformas were extracted that included the type of diagnosis documented and the certainty adjective used. Patient opinion was canvassed from a focus group. Results: During the study period, 850 clerking proformas were analysed; 420 presented a single diagnosis, while 430 presented multiple diagnoses. Of the 420 single diagnoses, 67 (16%) were documented as either a symptom or physical sign and 16 (4%) were laboratory-result-defined diagnoses. No uncertainty was expressed in 309 (74%) of the diagnoses. Of 430 multiple diagnoses, uncertainty was expressed in 346 (80%) compared to 84 (20%) in which no uncertainty was expressed. The patient focus group were unanimous in their support of this research. Conclusion: The documentation of working diagnoses is highly variable among non-consultant grade clinicians. In nearly three quarters of assessments with single diagnoses, no element of uncertainty was implied or quantified. More uncertainty was expressed in multiple diagnoses than single diagnoses. Implications: Increased standardisation of documentation will help future studies to better analyse and quantify diagnostic certainty in both single and multiple working diagnoses. This could lead to subsequent examination of their association with important process or clinical outcome measures.

Hubungan Kualitas Menu Terhadap Status Gizi Remaja Di Pondok Pesantren Syafa'aturrasul ,Taluk Kuantan 2020

Nutritional status is the state of the body as a result of food consumption and use of nutrients nutritional status can also be interpreted as a physical sign caused by a balance between income and expenditure through nutrition through certain variables, namely indicators. The quality of the menu is one of the main things besides service and kitchen cleanliness that must be maintained properly. The purpose of this study is to find out whether there is a relationship between the quality of the menu to the nutritional status of adolescents in the Pondok Ampar Syafa'aturrasul Batu Ampar, Beringin Taluk Kuantan. This type of research is correlated with cross sectional research design. The population in this study were all adolescents in Syafa'aturrasul Islamic Boarding School with a total of 800 inhabitants. The sample used was 267 students. The sampling technique is to use cluster sampling technique. The research instrument used observation sheets. The data obtained was processed by univariate and bivariate data analysis. The results obtained p value 0.27 means p value> 0.05, it can be concluded that there is no significant relationship between the quality of the menu on the nutritional status of adolescents in the Gyafa'aturrasul Islamic boarding school in Beruk, Taluk Kuantan. It is expected that the cottage together with parents work together to prevent and provide health education on good nutritional status for adolescence.

Problems of abnormal dynamics of thermal hydraulic processes in prospective reactors with supercritical parameters of light water coolant

A complex of scientific and technical problems directly related to the priority of ensuring the operational safety and reliability of the cores of promising power nuclear reactors with supercritical thermodynamic parameters of a light-water coolant is systematized. The problems of implementation of effective heat removal from the surface of fuel elements and ensuring reliable calculation of thermal and hydrodynamic processes in turbulent flows of a supercritical coolant are considered. The main attention in the consideration of thermohydraulic processes in the near-critical region is paid to the conditionality of the physical nature of these processes by the regularities of transformation of the thermophysical properties of the coolant with changes in its temperature. It is noted that these phenomena have not been sufficiently studied and that modern designers of nuclear reactors with supercritical parameters practically do not have physically substantiated adequate ideas about the physical nature of an emergency mode of deteriorated heat transfer, which can arise unpredictably on the surface of a fuel element even if it is continuously cooled by a coolant with supercritical parameters. It is only known that the main physical sign of the occurrence of this emergency mode is a significant deterioration in heat transfer, which becomes abnormally low, but the physical reasons for such a dangerous anomaly are currently unknown. Based on the analysis of the molecular kinetics data of the near-wall coolant layer, it was proposed to consider such facts of an emergency decrease in the heat transfer intensity due to the appearance of an unknown pseudo-film boiling regime on the fuel element surface. In this context, it is shown that under the conditions under study, macromolecular assemblies in the form of pseudo-vapor formations can appear on the heat exchange surface, as a result of which the heat transfer on the fuel element surface is disturbed. Using experimental data, it is shown that there is a rather deep physical analogy between heat transfer in a supercritical thermodynamic system and the subcooled boiling process at subcritical parameters of the coolant. The dynamics of changes in the characteristics of the experimental spectra of acoustic emission of pseudo-boiling with a sequential increase in the thermal load is analyzed and it is shown that these phenomena can, in principle, be used in promising systems for diagnostic monitoring of reactors with supercritical parameters for early detection of the initial phases of pseudo-boiling and prompt prevention of the occurrence of emergency modes of deteriorated heat transfer

Spatial metaphors in antonym pairs across sign languages

We analyze sign locations in 776 signs from 16 antonym pairs across 27 sign languages to examine metaphorical mappings of emotional valence (positive vs. negative) along different spatial axes. We conduct both an automatic and a manual analysis of sign location and movement direction, to investigate cross-linguistic patterns of spatial valence contrasts. Contrary to our hypothesis, negative valence concepts are generally articulated higher up than their positive counterparts. However, when we consider movement in space, we find that although signs generally move downward over time, positive valence concepts are associated with upward movements more often than their negative counterparts. This points to a systematic pattern for vertical valence contrasts – a known metaphor across languages – iconically mapped onto physical sign articulation. We similarly, but surprisingly, find a difference in movements along the sagittal axis, such that outward movement is associated with positive valence concepts more often than negative.