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Background Depressive episodes (DEPs), characterized by abnormalities in cognitive functions and mood, are a leading cause of disability. Electroconvulsive therapy (ECT), which involves a brief electrical stimulation of the anesthetized brain, is one of the most effective treatments used in patients with DEP due to its rapid efficacy. Methods In this work, we investigated how dynamic brain functional connectivity responds to ECT and whether the dynamic responses are associated with treatment outcomes and side effects in patients. We applied a fully automated independent component analysis–based pipeline to 110 patients with DEP (including diagnosis of unipolar depression or bipolar depression) and 60 healthy control subjects. The dynamic functional connectivity was analyzed by a combination of the sliding window approach and clustering analysis. Results Five recurring connectivity states were identified, and patients with DEPs had fewer occurrences in one brain state (state 1) with strong positive and negative connectivity. Patients with DEP changed the occupancy of two states (states 3 and 4) after ECT, resulting in significantly different occurrences of one additional state (state 3) compared with healthy control subjects. We further found that patients with DEP had diminished global metastate dynamism, two of which recovered to normal after ECT. The changes in dynamic connectivity characteristics were associated with the changes in memory recall and Hamilton Depression Rating Scale of DEP after ECT. Conclusions These converging results extend current findings on subcortical-cortical dysfunction and dysrhythmia in DEP and demonstrate that ECT might cause remodeling of brain functional dynamics that enhance the neuroplasticity of the diseased brain.

One of the main targets of criticism of head-mounted displays (HMDs) is the field of view (FOV) size, whether in virtual or augmented reality. This limitation is prominent with optical see-through head-mounted displays (OST-HMD), as those with narrow overlay FOV (OFOV) sizes only provide a small window to view virtual objects. We investigated if restricting this OFOV negatively affects a user’s ability to memorize spatial locations in a simulation of a work environment, and consequently, long-term memory transfer to an equivalent scenario in the real world two days later. To find empirical evidence, we conducted a within-subjects experiment with 18 participants performing in three phases with an OST-HMD, simulated on an immersive HMD. For each phase, they viewed the training scenario with a different OFOV size of the augmentable area (30°, 70°, 110° diagonal). Results from recall tests showed that smaller OFOV size did not significantly affect user’s performance on both short-term and transfer tests, but HMD data revealed that users rotated their heads less with a 110° OFOV. We also found that proximity of objects to memorize had an interaction effect with smaller OFOV sizes. Our findings could have implications on the design and HMD choices of augmented training.

Introduction The hyper-catabolic state is a devastating pathophysiological response to severe injury, infection or burns. Nandrolone decanoate (ND) is a potent anabolic steroid have many clinical indications, but not investigated in burn injuries yet. Patients and methods A prospective randomized control study included 40 burned patients who were treated in Burn unit from burn injuries ranged from 20 to 40%. Both groups are objectively assessed, clinically and laboratory during treatment period till full recovery from burns’ injury. Recall assessment of the drug safety after many years is achieved. Results ND showed highly significant results supporting its use in combating catabolic insults in burns patient. Both clinical findings and laboratory findings are correlated and highly support the use of ND in burns as new effective and safe long-lasting indication. Conclusion This study results showed preservation of lean body mass and protein partition, as well as the near normal nitrogen balance in burn patients. Study proposes that nandrolone decanoate could be used in safe and effective way to combat hypercatabolic impact in burn injury.

We propose a method for human embryo grading with its images. This grading has been achieved by positive-negative classification (i.e., live birth or non-live birth). However, negative (non-live birth) labels collected in clinical practice are unreliable because the visual features of negative images are equal to those of positive (live birth) images if these non-live birth embryos have chromosome abnormalities. For alleviating an adverse effect of these unreliable labels, our method employs Positive-Unlabeled (PU) learning so that live birth and non-live birth are labeled as positive and unlabeled, respectively, where unlabeled samples contain both positive and negative samples. In our method, this PU learning on a deep CNN is improved by a learning-to-rank scheme. While the original learning-to-rank scheme is designed for positive-negative learning, it is extended to PU learning. Furthermore, overfitting in this PU learning is alleviated by regularization with mutual information. Experimental results with 643 time-lapse image sequences demonstrate the effectiveness of our framework in terms of the recognition accuracy and the interpretability. In quantitative comparison, the full version of our proposed method outperforms positive-negative classification in recall and F-measure by a wide margin (0.22 vs. 0.69 in recall and 0.27 vs. 0.42 in F-measure). In qualitative evaluation, visual attentions estimated by our method are interpretable in comparison with morphological assessments in clinical practice.

BACKGROUND: Many epidemiologic studies of vestibular disorders are based on responses to questionnaires which have not been tested against objective tests of the vestibular system. OBJECTIVE: The goal was to determine if the dizziness and balance questions used in the National Health Interview Survey (NHIS) are valid and predict performance on objective tests of the vestibular system (VNG). METHODS: Data from 367 participants recruited from the community, aged 21.4 to 87.6 years, were collected in the Otolaryngology department at a tertiary care center. They were asked the eight NHIS questions twice, at least 30 minutes apart and were tested on VNG. RESULTS: Question responses changed from Test 1 to Test 2 and differed between males and females. “Yes” responses did not predict abnormal VNG responses, for the total group and when the group was categorized into younger (60 years) subjects. The sensitivity and specificity of all questions was low. CONCLUSION: The NHIS questions provide some information about what people recall of their experiences, but they may not provide insight into the diagnostic prevalence of vestibular and balance disorders because the sensitivity and specificity are too low. Questionnaire-based epidemiologic studies should be interpreted with caution.

Coverage surveys for mass drug administration (MDA) rely on respondent recall and often permit proxy responses, whereby another household member is allowed to respond on behalf of an absent individual. In this secondary analysis of coverage surveys in Malawi, Burkina Faso, and Uganda, we explore the characteristics of individuals who require proxy responses and quantify the association between proxy responses and reported drug coverage. The adjusted logistic regression model found that men 11–39 years and women 11–18 years who were eligible for MDA had greater odds of requiring a proxy response compared with ineligible men and women in the same age groups. A hierarchical multivariable analysis found that proxy responses had 1.70 times the odds of reporting ingestion of MDA drugs compared with first-person responses, controlling for age and sex (95% CI: 1.17, 2.46). This finding is surprising, given that individuals absent during a coverage survey may also have been absent during the MDA, and suggests that proxy responses may be leading to an inflation of survey estimates of drug coverage. This study highlights the possibility for recall bias in proxy responses to MDA coverage; however, excluding absent individuals from coverage surveys would introduce a new bias. Further research is necessary to determine the best method for obtaining information on drug coverage when individuals are absent.

Background Vaccination coverage surveys in low- and middle-income countries typically estimate vaccination coverage using data from vaccination cards, parental recall, or a combination of the two. However, these surveys are often complicated by the pervasive absence of vaccination cards, forcing researchers to rely on parental recall. We assessed the validity of mothers’ recall against home-based vaccination cards using data from a community-based household survey in Nigeria. Methods A cross-sectional survey of 1,254 mothers of children aged 12–23 months was performed in Enugu State, Nigeria in July 2020. Data on vaccination status for BCG, OPV, DPT, Measles, Yellow fever, and Vitamin A supplement were collected using two data sources: home-based vaccination cards and mothers’ recall. We evaluated the level of agreement between the two data sources; estimated the sensitivity and specificity of mothers’ recalls; and computed multivariable regression models to identify socio-demographic factors associated with mothers’ recall bias. Results Out of 1,254 mothers interviewed, 578 (46.1%) mothers with vaccination cards were included in this analysis. Vaccination coverage levels were generally similar across data sources, though recall-based data generally underestimated the coverage. The level of agreement between the two data sources was high (≥91.0% for all vaccine types) with recall bias due to under-reporting generally higher than recall bias due to over-reporting. The sensitivity of parental recalls was high for all vaccine types, while the specificity was low across vaccine types. Across all vaccines, mothers recall bias was significantly associated with the rural residence and not receiving postnatal care. Conclusion In the absence of vaccination cards, mothers’ recall of their children’ vaccination status for BCG, OPV, DPT, Measles, Yellow fever and Vitamin A is a valid instrument for estimating childhood vaccination coverage in this setting in Nigeria. However, additional research is needed to confirm these findings at higher sub-national and national levels.

The important reasons for traffic congestion are classified into some categories. Some of the main reasons for traffic congestion are work zones, weather, special events, traffic incidents. This bad condition of weather makes changes the behavior in the driver and the traffic flow is affected. Accurate traffic prediction is important for the road user's traffic system administrators. Communication technology is influenced by various domains. Due to the advancement of technology machine learning concepts are used in traffic forecasting. This proposed model uses four types of machine learning concepts like DAN(Deep Autoencoder), DBN(Deep Belief Network), RF(Random Forest), and LSTM (Long Short Term Memory). The performance of the proposed model can be measured by using the accuracy, precision, recall, and error value metrics of machine learning approaches. From the four approaches, LSTM generates 95.2% accuracy.

PURPOSE This study aims to evaluate the effect of rehabilitation with complete dentures versus implant-retained overdenture on activity in various parts of the brain cognition in a geriatric edentulous population via Functional MRI (fMRI) studies and the Mini-Mental State Examination (MMSE). METHODS Ten completely edentulous patients were rehabilitated with both complete dentures and two-implant retained overdentures for three months each. fMRI studies were performed for each modality during chewing and recall tasks at three time periods: T0: Completely Edentulous(CE) T1: after three months of wearing Conventional Complete Dentures(CD) and T2: after three months of wearing Implant-retained Overdentures (IOD). The Z scores obtained from the fMRI at these phases of examination were tabulated and correlated with MMSE scores obtained at the corresponding time periods. RESULTS Z scores obtained during the memory recall tasks at T2 were the greatest (Prefrontal Cortex (p=0.059) and Hippocampus (p=0.036). The MMSE scores obtained were significantly higher for the IODs when compared to the CDs and Baseline values (p < 0.05)Conclusion: IODs may potentially result in superior sensory feedback in edentulous patients and lead to improved cognitive performance when compared to conventional complete dentures.

Background: The TNI-93 is a quick memory test designed for all patients regardless of their education level. A significant proportion of patients with Alzheimer’s disease (AD) are illiterate or poorly educated, and only a few memory tests are adapted for these patients. Objective: In this study we aimed at assessing the diagnostic value of the TNI-93 for diagnosis of patients with biologically confirmed amyloid status. Methods: We included all patients who had an analysis of AD cerebrospinal fluid biomarkers, a neuropsychological assessment including a TNI-93 and an anatomical brain imaging at Avicenne Hospital between January 2009 and November 2019. We compared the TNI-93 scores in patients with amyloid abnormalities (A+) and patients without amyloid abnormalities (A-) according to the AT(N) diagnostic criteria. Results: 108 patients were included (mean age: 66.9±8.5 years old, mean education level: 8.9±5.2 years). Patients from the A + group (N= 80) were significantly more impaired than patients from the A- group (N= 28) on immediate recall (A+: 5.9±2.8; A-: 7.4±2.6; p = 0.001), free recall (A+: 3.5±2.7; A-: 5.9±2.8; p ≤ 0.001), total recall (A+: 5.7±3.5; A-:7.8±2.8; p ≤ 0.001), and on number of intrusions during the recall phase (A+: 1±1.8; A-: 0.1±0.3; p = 0.002). ROC curves revealed that the best scores to discriminate A + from A- patients were immediate recall (Area under curve (AUC): 0.70), number of encoding trials (AUC: 0.73), free recall (AUC: 0.74), and total recall (AUC: 0.74). Conclusion: The TNI-93’s immediate, free, and total recalls are valuable tools for the 39 diagnosis of AD.

Background Traditional teaching methods via faculty lectures and text-based materials lack interactivity. Hence, this research aimed to compare the effectiveness of story-based audiovisual mnemonics and the conventional text-reading method on medical students’ memory consolidation. Methods A single-center, systematically randomly sampled, single-blinded, controlled study was conducted among 80 first-year medical students. The students were randomly assigned to the text-reading (control) or story-based audiovisual mnemonics (intervention) group. After completing the learning session, the participants immediately took a test that consisted of ten multiple-choice questions, each of which had one correct single-response answer, and an oral recall test that consisted of ten keywords based on the given topics. The test was repeated at 1 week, 2 weeks, and 4 weeks post intervention. Descriptive and inferential statistics were utilized to assess the participants’ responses. The mean score difference between the audiovisual mnemonics and control groups was determined by using a two-tailed unpaired t-test. Results The participants in the intervention group had statistically significant higher marks in the multiple-choice test as compared to the participants in the control group. The intervention group also spent a statistically significant shorter time to recall keywords in the oral recall test in comparison to the control group. Conclusion The story-based audiovisual mnemonics method is more effective than the conventional text-reading method in promoting memory retention among medical students.

Tourism and hospitality service experiences are both delivered with and experienced amongst other individuals as part of the service setting. Understanding consumer perceptions of these shared experiences is essential for providers. Consumer recollection of these experiences, however, are sometimes limited. This paper explores the opportunity to use paired interviews as a qualitative method for moderating self-reported data “on the spot”. Paired interviews that explore shared experiences can be clarified, or corrected contemporaneously, with reduced bias or modification of what was experienced, particularly when that behaviour may not be socially acceptable. This article presents data collected after a shared tourism experience of an overnight visit to a luxury lodge at a zoo and proposes a framework to classify interactions between participants in a paired interview situation. The method of shared or paired self-reporting interviews results in enriched qualitative data based on the exchanges of pairs participating in the interview process. This method is useful in practice by mitigating limitations identified in self-reporting situations, particularly after a shared service experience.

Recall testing is a common assessment to gauge memory retrieval. Responses from these tests can be analyzed in several ways; however, the output generated from a recall study typically requires manual coding that can be time intensive and error-prone before analyses can be conducted. To address this issue, this article introduces lrd (Lexical Response Data), a set of open-source tools for quickly and accurately processing lexical response data that can be used either from the R command line or through an R Shiny graphical user interface. First, we provide an overview of this package and include a step-by-step user guide for processing both cued- and free-recall responses. For validation of lrd, we used lrd to recode output from cued, free, and sentence-recall studies with large samples and examined whether the results replicated using lrd-scored data. We then assessed the inter-rater reliability and sensitivity and specificity of the scoring algorithm relative to human-coded data. Overall, lrd is highly reliable and shows excellent sensitivity and specificity, indicating that recall data processed using this package are remarkably consistent with data processed by a human coder.

Rizzuto and Kahana (2001) applied an autoassociative Hopfield network to a paired-associate word learning experiment in which (1) participants studied word pairs (e.g., ABSENCE-HOLLOW), (2) were tested in one direction (ABSENCE-?) on a first test, and (3) were tested in the same direction again or in the reverse direction (?-HOLLOW) on a second test. The model contained a correlation parameter to capture the dependence between forward versus backward learning between the two words of a word pair, revealing correlation values close to 1.0 for all participants, consistent with neural network models that use the same weight for communication in both directions between nodes. We addressed several limitations of the model simulations and proposed two new models incorporating retrieval practice learning (e.g., the effect of the first test on the second) that fit the accuracy data more effectively, revealing substantially lower correlation values (average of .45 across participants, with zero correlation for some participants). In addition, we analyzed recall latencies, finding that second test recall was faster in the same direction after a correct first test. Only a model with stochastic retrieval practice learning predicted this effect. In conclusion, recall accuracy and recall latency suggest asymmetric learning, particularly in light of retrieval practice effects.

Improving adherence to antiretroviral therapy (ART) is essential for limiting HIV disease progression among young sexual minority men living with HIV. Daily diaries allow for a detailed examination of how fluctuations in psychosocial factors are associated with adherence over time. Across three cities in the United States, this study collected 60 days of quantitative data from 44 young men (between 16 and 24 years of age) living with HIV who have sex with men. Lagged transition models explored the associations of mood, stress, social support, substance use, and condomless intercourse with daily ART adherence. Baseline levels of illicit substance use and condomless intercourse, and a higher proportion of days with stress or marijuana use, were associated with lower ART adherence. Lapses in adherence predicted non-adherence the following day. Findings suggest prospective data collection may identify different predictors of adherence compared to retrospective recall. Lapse-management strategies are needed to improve adherence following a missed dose.

Background: Obesity has become one of the common problems encountered by people of the present day. This condition is often accompanied by cardiovascular problems like hypertension, hyperlipidemia, is chemic heart disease. Also, that the relationship between obesity and cognitive impairment plays an important role in the development of neurodegenerative disorders. But reports on the association between obesity and working memory lack scientific evidence. So, the present study planned to assess the influence of obesity on cognitive functions and compare among obese and non - obese individuals. Objective: This study evaluated the changes in cognitive functions comparative between samples of obese and non-obese individuals from India. Methods: Based on the Body Mass Index (BMI), the participants were classified into 2 groups. Cognitive screening was done using MINI MENTAL STATE EXAMINATION and the parameters like level of orientation, registration, recall, language, copy art skills were analyzed and scores were calculated. The data was statistically analyzed using SPSS version 23 and the independent sample t test was used to analyze the differences in cognitive functions. Results: The study reported that there was statistically significant decline in language, recall and copy art skills in obese individuals compared to non-obese group. Conclusion: The study concluded an innovative finding that obesity is associated with impaired cognitive performance pertaining to recall, language and copy art and overall decreased MMSE scores indicating that accelerated cognitive decline and neurodegenerative pathologies such as dementia in later life is influenced by changes in body weight. Interventions that target mid-life obesity may be helpful in reducing the cognitive risks associated with obesity.

Background: There are no studies on adults with unilateral brain lesions regarding story reading with incidental/implicit comprehension and memory, in which memory is only assessed through delayed recall. There is a need for validation of cerebral laterality in this type of verbal recall, which includes spontaneous performance (free or uncued condition (UC)), and induced-through-question performance regarding the forgotten units (cued condition (CC)). Objectives: To explore the effects of unilateral brain lesions, of oral reading with expression (RE) and comprehension (RC) on delayed recall of a story, as either UC or CC; and to validate the ability of UC and CC to discriminate the side of brain injury. Methods: Data were obtained from 200 right-handed volunteers, among whom 42 had left-hemisphere injury (LHI), 49 had right-hemisphere injury (RHI) and 109 were demographically-matched healthy participants (HP). Patients who were unable to read, understand or speak were excluded. Results: LHI individuals presented impairment of both UC and CC, in relation to the other two groups (non-LHI) with sensitivity and specificity above 70%. LHI and RHI individuals were not significantly different in RE and RC, but they were both different from HP in all the assessments except CC, in which RHI individuals resembled HP. Despite this lack of abnormality in RHI individuals during CC, about half of this group showed impairment in UC. Additionally, whereas RE had a significant effect on UC, the moral of the story (RC) had a significant effect on both UC and CC. Conclusions: The left hemisphere was dominant for this memory task involving implicit processing. RESUMEN Antecedentes: No existen estudios en adultos con lesiones cerebrales unilaterales sobre la lectura de una historia, con comprensión y memoria incidental/implícita, midiendo sólo el recuerdo diferido. Se necesita validar la lateralidad cerebral en este tipo de recuerdo verbal que incluye: desempeño espontáneo (condición sin claves (CS) o libre) y desempeño inducido con preguntas sobre las unidades olvidadas (condición con claves (CC)). Objetivos: Explorar el efecto de las lesiones cerebrales unilaterales, la lectura expresiva (LE) y la comprensiva (LC), sobre el recuerdo diferido de una historia, sea CS o CC. Validar CS y CC en su capacidad para discriminar el lado de la lesión cerebral. Métodos: Los datos se obtuvieron de 200 voluntarios diestros, 42 con lesiones del hemisferio izquierdo (LHI), 49 con lesiones del hemisferio derecho (LHD), y 109 participantes sanos (PS), equiparados demográficamente. Se excluyeron los pacientes que no pudieron leer, entender o hablar. Resultados: LHI resultó perjudicado respecto de los otros dos grupos (no-LHI) en CS y CC, con una sensibilidad y especificidad superior al 70%. LHI y LHD no se diferenciaron significativamente en LE ni LC, pero ambos fueron diferentes de los PS en todas las evaluaciones excepto CC, en donde LHD se asemejó a los PS. A pesar de esta ausencia de anomalía en LHD durante CC, aproximadamente la mitad de LHD mostró deterioro en CS. Además, mientras que LE tuvo un efecto significativo en CS, la moraleja de la historia (LC) tuvo un efecto significativo tanto en CS como en CC. Conclusiones: El hemisferio izquierdo fue dominante para esta tarea de memoria que involucró procesamiento implícito.

Purpose We conducted the first prospective longitudinal study examining the independent association between patient-reported health-related quality of life (hrQoL) (physical, social/family, emotional, functional, and brain cancer-specific) and neurocognitive function (NCF), while controlling for mood symptoms in patients with primary brain tumors. Methods and Materials Patients with primary brain tumors (n = 59) receiving brain radiation therapy underwent hrQOL (Functional Assessment of Cancer Therapy-Brain), mood (Beck Depression and Anxiety Inventories), and neurocognitive evaluation at baseline and 3, 6, and 12 months postradiation therapy in a prospective clinical trial. Neurocognitive assessments measured attention/processing speed, memory, and executive function, including the Delis-Kaplan Executive Function System Verbal Fluency, Hopkins Verbal Learning Test Revised (HVLT-R), and Brief Visuospatial Memory Test. Subjects underwent neurocognitive, mood, and hrQoL assessments in the same testing session. Multivariable linear mixed-effects models assessed associations between hrQOL and NCF over time, controlling for patient, tumor, and treatment characteristics as well as timepoint-specific patient-reported mood (ie, anxiety and depression symptoms). P values were adjusted for multiple comparisons. Results Higher physical hrQoL was associated with better verbal memory (HVLT-R Total Recall, P = .047), and higher functional hrQoL was associated with better executive function (Delis-Kaplan Executive Function System Verbal Fluency Switching Total, P = .009) and verbal memory (HVLT-R Delayed Recall, P = .006). Higher brain tumor-specific hrQoL was associated with better verbal and nonverbal memory (HVLT-R Total, P = .004 and Delayed Recall, P = .030; Brief Visuospatial Memory Test Total, P = .049 and Delayed Recall, P = .049). There was no association between social/family or emotional hrQoL and NCF after controlling for mood. Conclusions Higher physical, functional, and brain tumor-specific hrQoL were associated with better executive function and memory among patients with primary brain tumors. Physical and functional impairments are correlated with cognitive performance. Interventions to maximize quality of life after treatment may influence neurocognition and vice versa.

It is critically important that early foal handling and training takes into account foals cognitive abilities and ability to cope with intense work without becoming overly aroused and fearful. Foals may experience days off during planned training programs due to owner/trainers circumstances and not as an intended part of the training schedule. Recent research has suggested that days off within training schedules may be beneficial to training outcomes. This study aimed to determine how the incorporation of days off during initial training influences foal learning outcomes. Twenty Thoroughbred foals underwent a 6-7 session training program. Foals were blocked by age ( 8 weeks) and randomly allocated to either training condition A (trained for 2 consecutive days followed by a rest day, 2 more training days, rest day, finishing with up to 3 more consecutive training days) or training condition B (trained for 4 consecutive days, 2 rest days, finishing with up to 3 more consecutive training days). Qualified Foal NZ Ltd trainers used negative reinforcement to train foals to ‘Go’ (cranial pressure on the halter until foal steps forward) and ‘Stop’ (caudal pressure until the foal stops) from first, the left and second, the right side. Session length was determined by progress made and did not exceed 25 minutes. Training success was assessed by number of signals required (recall) for the foal to perform the task in the next training day. Biting behaviors exhibited by foals were instantaneously recorded during training sessions. Recall data for all tasks were non-parametric (left ‘Go’ Anderson Darling = 6.32; ‘Stop’ Anderson Darling = 2.89; right ‘Go’ Anderson Darling = 4.24; and ‘Stop’ Anderson Darling =6.10; all P 0.05). Younger foals ( 0.05). On the basis of the findings of this study, it is recommended that young foal initial training programs incorporate a day off within the first 4 days in order to decrease the development and occurrence of adverse behaviors such as biting.

Abstract. Background: Suicide prevention public service announcements (PSAs) help to disseminate information about suicide and help-seeking options. However, little is known about how individuals at risk for suicide recall PSAs. Aims: The current project assessed which features of suicide prevention PSAs are recalled by young adult participants and whether there are differences between those who are at low or high risk for suicide. Method: Participants ( N = 140) viewed a simulated suicide prevention billboard that consisted of a main message, help-seeking message, and graphical features. Participants provided written recollections of the billboard features approximately 15 min post-viewing, which were coded and analyzed. Results: High-risk participants were significantly less likely than low-risk participants to include a description of the help-seeking message in their written recall. Few group differences were noted in the recall of the main message or graphical features. Limitations: Recall was limited to short-term recall based on a single exposure. Efforts to enhance internal validity (e.g., measurement of suicide risk) and external validity (e.g., a balanced sample regarding sex and race) are recommended. Conclusions: Results suggest that new tactics may need to be considered when developing suicide prevention messages, including crafting help-seeking messages that are more easily committed to memory for target audiences.

Influenza, an acute viral respiratory disease that is currently causing severe financial and resource strains worldwide. With the recent COVID-19 pandemic exceeding 153 million cases worldwide, there is a need for a low-cost and contactless surveillance system to detect symptomatic individuals, more so in counties with limited healthcare resources. As with many diseases, there are bio-clinical signals relating to the physical symptoms. The main objective of this study was to develop FluNet, a novel, proof-of-concept, low-cost and contactless device for the detection of high-risk individuals. The system passively conducts face detection in the longwave infrared domain with a precision rating of 0.9798 and mean intersection over union of 0.7386 while sequentially taking the temperature trend of faces with a thermal accuracy of ± 1 K. While in parallel determining if someone in audible proximity is coughing by using a custom deep convolutional neural network with a precision rating of 0.9519. In addition to presenting FluNet, two datasets have been constructed, one for face detection in the longwave infrared domain consisting of 250 images of 20 participants’ faces at various rotations and coverings, including face masks. The other for the real-time detection of cough patterns comprised of a sizeable dataset of 40,482 cough / not cough sounds, coupled with a new lightweight artificial neural network architecture for the classification of cough spectrograms. These findings could be helpful for future low-cost edge computing applications for influenza-like monitoring.

Background Emerging human studies demonstrate that theta oscillations in the dorsal anterior cingulate cortex are enhanced during fear recall (enhanced fear expression) and reduced during successful extinction recall (reduced fear expression). Although evidence suggests sex differences in fear recall and extinction recall, there are currently no human studies examining the oscillatory foundations of these memory processes separately in men and women. Methods Because previous studies suggest that estradiol partially mediates these sex differences, we examined 20 men (low estradiol and low progesterone), 20 women using oral contraceptives (low estradiol and low progesterone), and 20 free-cycling women during midcycle (high estradiol and low progesterone). We used a fear-conditioning procedure, allowing us to separately assess fear recall and extinction recall 24 hours after fear and extinction learning. Skin conductance responses and electroencephalography were recorded during fear recall and extinction recall, and prefrontal oscillations were source localized. Results We found elevated fear expression during fear recall and impaired extinction recall, as indicated by increased peripheral arousal (skin conductance responses) and fronto-central theta oscillations, source localized in the dorsal anterior cingulate cortex and dorsomedial prefrontal cortex. Importantly, peripheral arousal and dorsal anterior cingulate cortex theta oscillations were stronger in men and women on oral contraceptives than in women from the midcycle group. Conclusions Our data show that neural oscillatory and peripheral correlates of heightened fear expression during fear recall and (impaired) extinction recall do not simply differ between sexes but depend on hormonal fluctuations within women.

Background The long interspersed element-1 (LINE-1, L1) participates in memory formation, and DNA methylation patterns of L1 may suggest resilience or vulnerability factors for post-traumatic stress disorder (PTSD), of which the principal manifestation is a pathological exacerbation of fear memory. However, the unique roles of L1 in the reconsolidation of fear memory remain poorly understood. Objective The present study investigated the roles of L1 in the reconsolidation of context-dependent fear memory. Methods The current study used male mice obtained at two months of age. Mice underwent fear conditioning and fear recall in observation chambers. Fear memory was assessed by calculating the percentage of time spent freezing in a total of 5 min. The medial prefrontal cortex (mPFC) and hippocampus of the mice were removed and snap-frozen in nitrogen liquid for further analysis. Open Reading Frame 1 (ORF1) mRNA, and Open Reading Frame 2 (ORF2) mRNA of L1 were analyzed by Real-Time Quantitative Polymerase Chain Reaction. After the reactivation of fear memory, lamivudine was administered to inhibit L1 retrotransposition and its effects on fear memory reconsolidation were observed. Results The expression of ORF1 and ORF2 mRNA in the mPFC and hippocampus after the recent (24 hours) and remote (14 days) fear memory recall exhibited an augmentation via different temporal and spatial patterns. The reconsolidation and spontaneous recovery of fear memory were markedly inhibited in mice administrated with lamivudine, which could block L1. The expression of DNA methyltransferase (Dnmt) mRNA was diminished following lamivudine treatment in the remote fear memory recall. Conclusions The retrotransposition of L1 participated in the reconsolidation of fear memory after the reactivation of fear memory , and with lamivudine treatment, spontaneous recovery was decreased with time after the recent and remote fear memory recall, which might provide more clues for understanding the roles of L1 in fear memory and the possible strategy for treating PTSD.

The Internet has evolved as an important source of information and children like to search for information of their interest on the Internet. This study assessed the interest and ability of 90 children aged between 4 and 10 years to use Google voice search and if it can foster informal learning. We interviewed the children to know how many times they had used Google search in the last week and what information they searched for. We then asked the children to perform textual query based Google search and Google voice search in front of us. We also checked if the children could recall the information obtained from the Internet after 10 min. We found that the children have used voice search more frequently than textual query based search in the last week and they did so to find information related to general knowledge (91%) and homework (32%). Most (80%) of the children aged 4 to 6 years were able to use voice search with the help of an adult but were unable to perform textual query based search and retain the information obtained from the search. Most (87%) of the children aged 7 to 10 years could perform both textual query based search and voice search but preferred the latter. A majority (60%) of the children aged 9 and 10 years could retain the information obtained from the Internet. We concluded that Google voice search with parental help can foster informal education of children aged 4 years and elder.

The Philips Respironics recall notification issued in June 2021 affected many of their positive airway pressure devices and mechanical ventilators including the Trilogy 100 and 200 ventilators that are often utilized in children using home positive pressure ventilation via tracheostomy (PPV-T). Optimal strategies to replace ventilators in children using home PPV-T affected by the Philips recall are unknown. We conducted a retrospective study of children using home PPV-T with recalled Trilogy ventilators who underwent inpatient ventilator change to non-recalled portable home ventilators (PHV) using our collaborative institutional protocol. During the study period, there were 40 children using PPV-T with recalled Trilogy ventilators and 19 patients underwent inpatient ventilator change either during an elective hospitalization (n = 8) or during an unscheduled or postoperative hospitalization (n = 11). The median duration of hospitalization for ventilator change was 2 days (interquartile range: 6 days) and generally 1 day for patients admitted solely for ventilator change. In children using PPV-T with recalled Trilogy ventilators, a systematic protocol collaborating with the patients, physicians, and durable medical equipment companies may optimize transition to nonrecalled PHVs.

Despite its name, associative recognition is a paradigm thought to rely on memory recall. However, it remains unclear how associative information may be represented and retrieved from memory and what its relationship to other information, such as item memory, is. Here, we propose a computational model of associative recognition, where relational information is accessed in a generic, multistage retrieval process. The model explains the relative difficulty of associative recognition compared with item recognition, the difference in experimental outcomes when different types of lures are used, as well as the conditions leading to the emergence of associative ROC curves with different shapes.

PurposeVirtually unlimited amounts of data collection by cybersecurity systems put people at risk of having their privacy violated. Social networks like Facebook on the Internet provide an overplus of knowledge concerning their users. Although users relish exchanging data online, only some data are meant to be interpreted by those who see value in it. It is now essential for online social network (OSN) to regulate the privacy of their users on the Internet. This paper aims to propose an efficient privacy violation detection model (EPVDM) for OSN.Design/methodology/approachIn recent months, the prominent position of both industry and academia has been dominated by privateness, its breaches and strategies to dodge privacy violations. Corporations around the world have become aware of the effects of violating privacy and its effect on them and other stakeholders. Once privacy violations are detected, they must be reported to those affected and it's supposed to be mandatory to make them to take the next action. Although there are different approaches to detecting breaches of privacy, most strategies do not have a functioning tool that can show the values of its subject heading. An EPVDM for Facebook, based on a deep neural network, is proposed in this research paper.FindingsThe main aim of EPVDM is to identify and avoid potential privacy breaches on Facebook in the future. Experimental analyses in comparison with major intrusion detection system (IDS) to detect privacy violation show that the proposed methodology is robust, precise and scalable. The chances of breaches or possibilities of privacy violations can be identified very accurately.Originality/valueAll the resultant is compared with well popular methodologies like adaboost (AB), decision tree (DT), linear regression (LR), random forest (RF) and support vector machine (SVM). It's been identified from the analysis that the proposed model outperformed the existing techniques in terms of accuracy (94%), precision (99.1%), recall (92.43%), f-score (95.43%) and violation detection rate (>98.5%).

Built-in pervasive cameras have become an integral part of mobile/wearable devices and enabled a wide range of ubiquitous applications with their ability to be "always-on". In particular, life-logging has been identified as a means to enhance the quality of life of older adults by allowing them to reminisce about their own life experiences. However, the sensitive images captured by the cameras threaten individuals' right to have private social lives and raise concerns about privacy and security in the physical world. This threat gets worse when image recognition technologies can link images to people, scenes, and objects, hence, implicitly and unexpectedly reveal more sensitive information such as social connections. In this paper, we first examine life-log images obtained from 54 older adults to extract (a) the artifacts or visual cues, and (b) the context of the image that influences an older life-logger's ability to recall the life events associated with a life-log image. We call these artifacts and contextual cues "stimuli". Using the set of stimuli extracted, we then propose a set of obfuscation strategies that naturally balances the trade-off between reminiscability and privacy (revealing social ties) while selectively obfuscating parts of the images. More specifically, our platform yields privacy-utility tradeoff by compromising, on average, modest 13.4% reminiscability scores while significantly improving privacy guarantees -- around 40% error in cloud estimation.

Active retrieval can induce changes to the strength and content of a memory, yielding enhanced or distorted subsequent recall. But how consolidation influences these retrieval-induced seemingly contradictory outcomes remains unknown. Here we show rapid neural reorganization over eight runs of retrieval practice predicted subsequent recall. Behaviorally, retrieval practice boosted memory following a 24-hour (long-term) but not a 30-minute delay, and increased false memory at both delays. Long-term retention gains were predicted by multi-voxel representation distinctiveness in the posterior parietal cortex that increased progressively over retrieval practice. False memory was predicted by unstable representation distinctiveness in the medial temporal lobe during retrieval practice. Memory-related neural networks gradually reconfigured over retrieval practice, with the ventrolateral and medial prefrontal cortex acting as hubs for functional connections that predicted long-term retention gains and false memory outcomes respectively. Our findings demonstrate dynamic neural reorganization during retrieval practice, through which memories are arranged into discrete yet malleable representations for subsequent consolidation.

Elderly patients living in long-term care facilities have been restricted from leaving to comply with social distancing guidelines during the COVID-19 pandemic. This has led to a worsening of disorders, such as anxiety and depression. This study aims to understand the health benefits of an immersive garden experience to elderly nursing home residents with mild-to-moderate cognitive impairments. Virtual reality devices were used to provide immersive garden experiences for the residents who were unable to go outside. The heart rate and heart rate variability (HRV) data of the participants of the participants were collected using biofeedback instruments, and changes in the low frequency/high frequency (LF/HF) and the standard deviation of the NN interval (SDNN) values caused by immersive garden experiences were discussed. The results show that the immersive garden experiences were beneficial to these elderly residents. Within 6 min of completing the experiment, we found that the heart rates of participants had dropped slightly, while SDNN and HF values continued to rise. SDNN values before and after the experiment demonstrated a statistically significant improvement. Furthermore, participants expressed their satisfaction with the video intervention program. The results indicated that nursing homes can provide immersive landscape experiences to help increase HRV and SDNN of their elderly residents. This will not only help these residents recall beautiful memories of their past, but will also improve their quality of life. Supplementary Information The online version contains supplementary material available at 10.1007/s11355-021-00480-9.

BACKGROUND Intrathecal baclofen (ITB) pump delivery systems are safe and effective in the treatment of generalized spasticity in chronic spinal cord injury (SCI). Despite its widespread use, few and discrepant data are available in animal studies on the effects of ITB on cognitive functions, such as memory. The effects of chronic administration of baclofen on humans have not been investigated to date. The aim of this study is to find out, whether a long-term administration of ITB has any effects on cognitive functions in SCI subjects. MATERIALS AND METHODS In 11 out of 22 subjects with chronic SCI, we performed comprehensive neuropsychological assessment carried out using specialized tests focused on memory and other higher cognitive domains and emotional state. RESULTS All patients receiving ITB treatment for spasticity relief improved significantly in RAVLT Trials 1-5 (p = 0.049), Logical memory-immediate recall (p = 0.019) and Logical memory-delayed recall (p = 0.008). Visual memory, long-term semantic memory, attention, executive, perceptual and spatial functions, and mood status remained stable. CONCLUSION No significant decline in memory functions were detected following one year of ITB delivery, creating an opportunity for careful prescription of this treatment in chronic SCI. Moreover, we have detected a significant increase in short-term auditory-verbal memory and logical memory performance.

The dual-basis theory of metamemory suggests that people evaluate their memory performance based on both processing experience during the memory process and their prior beliefs about overall memory ability. However, few studies have proposed a formal computational model to quantitatively characterize how processing experience and prior beliefs are integrated during metamemory monitoring. Here, we introduce a Bayesian inference model for metamemory (BIM) which provides a theoretical and computational framework for the metamemory monitoring process. BIM assumes that when people evaluate their memory performance, they integrate processing experience and prior beliefs via Bayesian inference. We show that BIM can be fitted to recall or recognition tasks with confidence ratings on either a continuous or discrete scale. Results from data simulation indicate that BIM can successfully recover a majority of generative parameter values, and demonstrate a systematic relationship between parameters in BIM and previous computational models of metacognition such as the stochastic detection and retrieval model (SDRM) and the meta-d' model. We also show examples of fitting BIM to empirical data sets from several experiments, which suggest that the predictions of BIM are consistent with previous studies on metamemory. In addition, when compared with SDRM, BIM could more parsimoniously account for the data of judgments of learning (JOLs) and memory performance from recall tasks. Finally, we discuss an extension of BIM which accounts for belief updating, and conclude with a discussion of how BIM may benefit metamemory research. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Emotion is the human feeling when communicating with other humans or reaction to everyday events. Emotion classification is needed to recognize human emotions from text. This study compare the performance of the TF-IDF and Word2Vec models to represent features in the emotional text classification. We use the support vector machine (SVM) and Multinomial Naïve Bayes (MNB) methods for classification of emotional text on commuter line and transjakarta tweet data. The emotion classification in this study has two steps. The first step classifies data that contain emotion or no emotion. The second step classifies data that contain emotions into five types of emotions i.e. happy, angry, sad, scared, and surprised. This study used three scenarios, namely SVM with TF-IDF, SVM with Word2Vec, and MNB with TF-IDF. The SVM with TF-IDF method generate the highest accuracy compared to other methods in the first dan second steps classification, then followed by the MNB with TF-IDF, and the last is SVM with Word2Vec. Then, the evaluation using precision, recall, and F1-measure results that the SVM with TF-IDF provides the best overall method. This study shows TF-IDF modeling has better performance than Word2Vec modeling and this study improves classification performance results compared to previous studies.

Available literature reports several lymphoma cases misdiagnosed as tuberculosis, especially in countries with a heavy TB burden. This frequent misdiagnosis is due to the fact that the two diseases can present with similar symptoms. The present study therefore aims to analyse and explore TB as well as lymphoma case reports using Natural Language Processing tools and evaluate the use of machine learning to differentiate between the two diseases. As a starting point in the study, case reports were collected for each disease using web scraping. Natural language processing tools and text clustering were then used to explore the created dataset. Finally, six machine learning algorithms were trained and tested on the collected data, which contained 765 lymphoma and 546 tuberculosis case reports. Each method was evaluated using various performance metrics. The results indicated that the multi-layer perceptron model achieved the best accuracy (93.1%), recall (91.9%) and precision score (93.7%), thus outperforming other algorithms in terms of correctly classifying the different case reports.

Studies aiming to construct risk networks have historically collected network members' names, demographic characteristics and relational data (i.e., type, strength, duration, frequency of interaction, and HIV-related risk behaviors between the pair). Due to difficulties in constructing risk networks stemming from partner anonymity and the use of nicknames, some studies also collect network members’ screen names, phone numbers, physical attributes, and scars/tattoos to assist with entity resolution. In-depth interviews with 20 men who have sex with men and transgender women in Kentucky assessed privacy/confidentiality concerns as well as accuracy/recall issues associated with providing these details. Most preferred providing alters’ nicknames/first names only or a first name with the first letter of the last name. Many perceived screen names, phone numbers, and scars/tattoos to be too personal/identifying. Willingness to provide more detailed information varied by relationship type/strength, which could influence the validity of the resulting network.

Background Informed consent forms consist of large blocks of written information that may be difficult for patients to understand. Visual teaching aids are promising, however, they have not been studied as a pre-operative educational tool for common surgical procedures. We pilot tested the use of a visual teaching aid during the informed consent process for a colectomy. Methods A randomized pilot study was performed. Participants were randomized into the visual teaching aid group or standard care. Following the consent process, participants were questioned about potential surgical complications, anxiety, satisfaction, and understanding. Results 30 participants were enrolled. Potential complication recall and patient-reported understanding were improved in the visual group (p = 0.01, p = 0.03). Anxiety levels were reduced in the visual group (p = 0.02). No statistically significant data were found for satisfaction (p = 0.75). Conclusions Utilizing a visual teaching aid during the consent process for colectomy increases patient recall of risks, reduces anxiety, and improves understanding.

With epidemics and pandemics like COVID-19, many offline healthcare services have been suspended and shifted to online, where patients and doctors typically communicate by typing texts. The limited communication poses a threat to the service quality of E-health, and also raises higher demand on the language skills of doctors, in which medical terms are a common concern. Traditional studies of offline healthcare mostly hold a negative attitude towards the use of medical terms by doctors. However, should we still advise doctors to avoid using medical terms in E-health? To answer this question, this paper conducts a study combining technical and empirical analyses based on real data. In this paper, a novel unsupervised text-mining method is proposed to automatically identify medical terms with crowd wisdom from large-scale doctor-patient communication texts. Then, a TREC-type experiment is carried out to validate the proposed method in terms of Precision, Recall, and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$F_1$$\end{document}F1-measure, demonstrating that it can identify accurate and comprehensive medical terms. Based on the identified medical terms, an empirical analysis is conducted to verify the influence of medical terms used by doctors on the service quality of E-health. The analysis results show that for patients with low health literacy, the use of medical terms by doctors would decrease their service quality. However, for patients with high health literacy, the use of medical terms by doctors can significantly increase their service quality, revealing that doctors could improve their service quality in E-health by adjusting their medical term usage according to the health literacy of patients.

Objective Normal pressure hydrocephalus (NPH) has clinical manifestations with different cognitive difficulties. Despite the intense interest, the change in cognitive functions after ventriculoperitoneal shunt (VPS) treatment varies widely. The aims of this study were to monitor the effect of NPH on cognition in elderly and the progress of cognitive abilities after VPS surgery. Methods Patients diagnosed with idiopathic NPH (iNPH) who had ventriculomegaly with narrow callosal angle and/or periventricular signal changes not attributable to ischemic changes were included in study. All patients (n = 30) underwent comprehensive neuropsychological assessment and received programmable VPS. After VPS placement, 2 consecutive examinations were performed at approximately 6-month intervals. Results At the baseline evaluation, patients with iNPH displayed poorer performance in executive functions (EFs) compared with the matched control group (n = 30). Among those patients, significant improvement was observed in semantic fluency (M = 13.94; standard deviation, 4.95) and clock drawing (M = 3.67; standard deviation, 1.57) at the second follow-up evaluation (P = 0.015 and P = 0.024, respectively). The other prominent finding was in memory process: patients with iNPH showed improvement in delayed recall (P = 0.011), recognition (P = 0.033), and learning scores (P = 0.041) at the second follow-up compared with evaluation before VPS placement. Conclusions iNPH seems to have a detrimental effect predominantly on EFs. As EFs become corrupted, decline occurs in learning and recall processes of memory. VPS provides an improvement of cognitive deterioration; however, efficacy of this treatment on cognitive abilities is shows in a longer period compared with other iNPH symptoms.

BACKGROUND: Internet Gaming Disorder (IGD) has emerged as a rapidly rising public health problem mostly affecting children and adolescent worldwide, as a result of massive growth of technology and internet usage in recent years. Adolescents are the most vulnerable age group to problematic internet gaming use due to lack of cognitive control. AIM: This study aims to investigate the association between IGD and cognitive function among junior high school- students in Indonesia. METHODS: The subjects of this cross-sectional study were students at two randomly selected junior high schools in Yogyakarta, Indonesia. The Game Addiction Scale-7 Indonesian version and the Modified Mini Mental State Examination for Children-Indonesian version were used to assess IGD and cognitive function, respectively. Multivariate analysis with linear regression was used to determine the relationship between IGD and cognitive function. RESULTS: There were 142 subjects with a mean age of 14 years. Students with IGD significantly had lower score of cognitive function, particularly for domains of attention (p = 0.000), recall memory (p = 0.000), and language (p = 0.002), compared with the counterpart group. Furthermore, multivariate analysis showed that students with IGD were more likely to have lower cognitive function score by 1.40 points than those without IGD (B = –1.40, 95% CI -2.51–-0.29, R2 = 0.469). CONCLUSIONS: IGD was negatively associated with cognitive function. Junior high school students with IGD in Indonesia had lower score of cognitive function compared with students without IGD, particularly in the domains of attention, recall memory, and language. Clinicians, teachers, and parents should be more aware of the detrimental effect of IGD. Further study with larger sample size, diverse subjects, and wider age range is still needed.

Context Systematic investigations into the cognitive impact of estradiol and insulin in male individuals are sparse, and it is unclear whether the 2 hormones interact to benefit specific cognitive functions in humans. Objective We investigated the acute effect of estradiol and insulin and of their combined administration on divergent (creative) and convergent (arithmetical) thinking as well as short-term and working verbal memory in healthy young men. Methods According to a 2 × 2 design, 2 groups of men (each n = 16) received a 3-day transdermal estradiol (100 µg/24 h) or placebo pretreatment and on 2 separate mornings were intranasally administered 160 IU regular human insulin and, respectively, placebo before completing a battery of cognitive tests; we also determined relevant blood parameters. Results Estrogen compared with placebo treatment induced a 3.5-fold increase in serum estradiol and suppressed serum testosterone concentrations by 70%. Estrogen in comparison to placebo improved creative performance, that is, verbal fluency and flexibility, but not arithmetical thinking, as well as verbal short-term memory, but not visuospatial memory. The combination of estrogen and insulin enhanced recognition discriminability at delayed verbal memory recall; insulin alone remained without effect. Conclusion Estrogen specifically enhances core aspects of creativity and verbal memory in young male individuals; delayed recognition memory benefits from the combined administration of estradiol and insulin. Our results indicate that insulin’s acute cognitive impact in young men is limited and not robustly potentiated by estradiol. Estradiol per se exerts a beneficial acute effect on creative and verbal performance in healthy young men.

Named entity recognition (NER) from social media posts is a challenging task. User-generated content that forms the nature of social media is noisy and contains grammatical and linguistic errors. This noisy content makes tasks such as NER much harder. We propose two novel deep learning approaches utilizing multimodal deep learning and transformers. Both of our approaches use image features from short social media posts to provide better results on the NER task. On the first approach, we extract image features using InceptionV3 and use fusion to combine textual and image features. This approach presents more reliable name entity recognition when the images related to the entities are provided by the user. On the second approach, we use image features combined with text and feed it into a BERT-like transformer. The experimental results using precision, recall, and F1 score metrics show the superiority of our work compared to other state-of-the-art NER solutions.

Spatial memory impairments are observed in people with Huntington's disease (HD), however, the domain of spatial memory has received little focus when characterizing the cognitive phenotype of HD. Spatial memory is traditionally thought to be a hippocampal-dependent function, while the neuropathology of HD centers on the striatum. Alongside spatial memory deficits in HD, recent neurocognitive theories suggest that a larger brain network is involved, including the striatum. We examined the relationship between hippocampal and striatal volumes and spatial memory in 36 HD gene expansion carriers, including premanifest (n = 24) and early manifest HD (n = 12), and 32 matched healthy controls. We assessed spatial memory with Paired Associates Learning, Rey-Osterrieth Complex Figure Test, and the Virtual House task, which assesses three components of spatial memory: navigation, object location, and plan drawing. Caudate nucleus, putamen, and hippocampal volumes were manually segmented on T1-weighted MR images. As expected, caudate nucleus and putamen volumes were significantly smaller in the HD group compared to controls, with manifest HD having more severe atrophy than the premanifest HD group. Hippocampal volumes did not differ significantly between HD and control groups. Nonetheless, on average, the HD group performed significantly worse than controls across all spatial memory tasks. The spatial memory components of object location and recall of figural and topographical drawings were associated with striatal and hippocampal volumes in the HD cohort. We provide a case to include spatial memory impairments in the cognitive phenotype of HD, and extend the neurocognitive picture of HD beyond its primary pathology within the striatum.

Due to the successful application of machine learning techniques in several fields, automated diagnosis system in healthcare has been increasing at a high rate. The aim of the study is to propose an automated skin cancer diagnosis and triaging model and to explore the impact of integrating the clinical features in the diagnosis and enhance the outcomes achieved by the literature study. We used an ensemble-learning framework, consisting of the EfficientNetB3 deep learning model for skin lesion analysis and Extreme Gradient Boosting (XGB) for clinical data. The study used PAD-UFES-20 data set consisting of six unbalanced categories of skin cancer. To overcome the data imbalance, we used data augmentation. Experiments were conducted using skin lesion merely and the combination of skin lesion and clinical data. We found that integration of clinical data with skin lesions enhances automated diagnosis accuracy. Moreover, the proposed model outperformed the results achieved by the previous study for the PAD-UFES-20 data set with an accuracy of 0.78, precision of 0.89, recall of 0.86, and F1 of 0.88. In conclusion, the study provides an improved automated diagnosis system to aid the healthcare professional and patients for skin cancer diagnosis and remote triaging.

This paper presents a system for automatic detection and recognition of the animals using Deep CNN with genetic segmentation. In the present work, the grouping of input animal pictures is done with the help of a Convolutional Neural Network is demonstrated. The proposed work is compared with standard recognition methods such as SU, DS, MDF, LEGS, DRFI, MR, GC. The existing methodologies have more error rates because of high false-positive & negative rate detection, hence there is a need for a highly accurate system for animal detection. According to the proposed work, a genetic algorithm is used for the segmentation process, and for classification 3-layers neural network is used. For training and examining the proposed work, a database is created which consists of 100 distinct subjects with 2 classes and 10 pictures in each class. Experimental results are demonstrated as the segmentation using genetic algorithms and the novelty of the proposed method in terms of precision, recall, f-measurement, and MAE. Hence proposed work improves the overall results i.e. precision (99.02%), recall (98.79%), F-Measurement (98.9%), and MAE (0.78%).

Fluctuations of endogenous estrogen modulates fear extinction, but the influence of exogenous estradiol is less studied. Moreover, little focus has been placed on the impact of estradiol on broad network connectivity beyond the fear extinction circuit. Here, we examined the effect of acute exogenous estradiol administration on fear extinction-induced brain activation, whole-brain functional connectivity (FC) during the fear extinction task and post-extinction resting-state. Ninety healthy women (57 using oral contraceptives [OC], 33 naturally cycling [NC]) were fear conditioned on day 1. They ingested an estradiol or placebo pill prior to extinction learning on day 2 (double-blind design). Extinction memory was assessed on day 3. Task-based functional MRI data were ascertained on days 2 and 3 and resting-state data were collected post-extinction on day 2 and pre-recall on day 3. Estradiol administration significantly modulated the neural signature associated with fear extinction learning and memory, consistent with prior studies. Importantly, estradiol administration induced significant changes in FC within multiple networks, including the default mode and somatomotor networks during extinction learning, post-extinction, and during extinction memory recall. Exploratory analyses revealed that estradiol impacted ventromedial prefrontal cortex (vmPFC) activation and FC differently in the NC and OC women. The data implicate a more diffused and significant effect of acute estradiol administration on multiple networks. Such an effect might be beneficial to modulating attention and conscious processes in addition to engaging neural processes associated with emotional learning and memory consolidation.