Miracle-dz/UniFAR-FTUs huggingface dataset:
Elitism-based multi-objective differential evolution with extreme learning machine for feature selection: a novel searching technique

ABSTRACT The features related to the real world data may be redundant and erroneous in nature. The vital role of feature selection (FS) in handling such type of features cannot be ignored in the area of computational learning. The two most commonly used objectives for FS are the maximisation of the accuracy and minimisation of the number of features. This paper presents an Elitism-based Multi-objective Differential Evolution algorithm for FS and the novelty lies in the searching process which uses Minkowski Score (MS) and simultaneously optimises three objectives. The MS is considered as the third objective to keep track of the feature subset which is capable enough to produce a good classification result even if the average accuracy is poor. Extreme Learning Machine because of its fast learning speed and high efficiency has been considered with this multi-objective approach as a classifier for FS. Twenty-one benchmark datasets have been considered for performance evaluation. Moreover, the selected feature subsets are tested using 10-fold cross-validation. A comparative analysis of the proposed approach with two classical models, three single objective algorithms, and four multi-objective algorithms has been carried out to test the efficacy of the model.
Sensitivity of Video-Based Pulse Arrival Time to Dynamic Blood Pressure Changes

Estimating blood pressure (BP) from pulse arrival time (PAT) by image-based (skin video) photoplethysmography (iPPG) is of increasing interest due to the non-contact method advantage (over cuff-based methods) and potential for BP measurement to be built into portable devices such as mobile phones. The relationship between pulse transit time extracted from iPPG has been investigated during stable BP. The sensitivity of beat-to-beat iPPG-PAT to dynamic changes in BP has not been explored. This study investigated the correlation between iPPG-PAT and diastolic BP (DBP) during 1-minute seated rest and 3-minute isometric handgrip exercise. 15 healthy participants (9 female, 34±13 years) were recruited. Video was recorded from subjects’ faces at 30 frames per second using a standard web-camera with simultaneous measurement of the electrocardiogram and noninvasive finger BP. The iPPG waveform was from the averaged green channel intensity of regions of the forehead or cheek. PAT was calculated from the R-wave ofthe electrocardiogram to the foot of the iPPG or finger BP waveform respectively for direct comparison. Handgrip exercise caused a steady increase in DBP (75±9 to 87±13 mmHg, p<0.001). Beat-to-beat iPPG-PAT and DBP was negatively correlated (mena ±SE -1.33±1.70 ms/mmHg, P=0.0024) as was finger-PAT (mean ±SE -0.5S ±0.39 ms/mmHg, P<0.001). The proportion of individual significant negative regression slopes between DBP and finger-PAT and between DBP and iPPG-PAT was not significantly different. Despite high variability of the correlation between iPPG-PAT and DBP among subjects, iPPG-PAT can track dynamic changes in BP.
Modeling dynamic overshoot in ESD protections

The dynamic voltage overshoot of an ESD protection during triggering is determined by conductivity modulation in the silicon and inductive overshoot in the metal traces. The paper describes how to separate the two contributions and how to model these phenomena. It shows how to use this result to boost system protection for a typical USB3 interface beyond 15kV.
Formaldehyde inhalation triggers autophagy in rat lung tissues

Formaldehyde (FA), a ubiquitous environmental contaminant, has long been suspected of causing lung injury. However, the molecular and cellular mechanisms underlying this phenomenon remain elusive. The aim of this study was to elucidate the role of autophagy in lung injury induced by FA inhalation. In this study, lung weight coefficient, interleukin 8 in bronchoalveolar fluid, and histopathological examination were used to evaluate the lung injury. Moreover, electron microscopy, Western blotting for the ratio of LC3-II/LC3-I were used to detect autophagy in lung tissues. Our results indicated that the lung toxicity of FA inhalation is dose dependent. Lung weight coefficient, inflammatory response, and histopathological structure in the 0.5 mg/m3 FA exposure group showed no obvious changes compared with the control. However, exposure to 5 and 10 mg/m3 FA produced lung injury including pulmonary edema, histological changes, and inflammatory responses. Furthermore, the alterations of autophagy correlated with lung injury. Taken together, these data indicate that FA exposure triggers autophagy of alveolar epithelial cells, which might play a pivotal role in lung injury.
Analysis of the Output Conductance Degradation With the Substrate Bias in SOI UTB and UTBB Transistors

The goal of this work is to present the behavior of the output conductance in Ultra-Thin Body (UTB) and Ultra-Thin Body and Buried Oxide (UTBB) SOI {MOSFETs with the application of a selected set of back gate biases (VSUB) through AC simulations, in devices with and without considering the effect of the ground plane. It has been shown that the output conductance degradation due to self-heating and substrate effects increases as the substrate bias is reduced. The output conductance degradation by self-heating presents a reduction of about 52% and by substrate effects of 57% by simply increasing the back bias from -2V up to 2 V.
Deep Learning with Non-parametric Regression Model for Traffic Flow Prediction

Timely, effective, and accurate traffic movement prediction is highly important in developing and implementing the intelligent traffic prediction system. Given the overwhelming traffic in recent years, traffic data have been increasing as we enter the era of high traffic data. Existing traffic prediction methods use the traditional prediction models, which remain unsatisfactory for real-world applications. Sharp non-linearities, such as free flow, breakdown, recovery, and free congestion cause challenges in forecasting the traffic flow. This condition motivates us to reconsider the traffic forecast model based on the deep learning with the high traffic data. To predict non-linearities spatio-temporal effects, we have employed the deep learning technique with non-parametric regression. The first layer in the deep learning algorithm identifies spatio-temporal relationships between predictors and other non-linear relationships. The deep learning technique with non-parametric regression is significantly better compared with other models. Experimental results show that the proposed technique for the traffic flow forecast has a better-quality performance.
GSTM1 and GSTT1 Polymorphisms and Susceptibility to Prostate Cancer: A Case-Control Study of the Algerian Population

Objective: Prostate cancer (PCa) is a major public health problem worldwide, with high morbidity and mortality levels. Advanced age, androgen stimulation, and ethnicity have been reported to be possible risk factors. It has been suggested that particular genetic polymorphisms in glutathione S-transferases (GST), xenobiotic-metabolising enzymes, could predispose to prostate cancer through heritable deficiency in detoxification of environmental carcinogens. Conflicts in the published results and the absence of similar in depth studies in Algeria prompted us to perform the present case-control study of GSTM1 and GSTT1 polymorphisms and their possible association with PCa in an Algerian population. Methods: We determined GSTM1 and GSTT1 genotypes for 49 histologically verified prostate cancer patients and in 41 age-matched healthy controls by multiplex polymerase chain reaction (PCR) using peripheral blood DNA samples. Result: While an association between the GSTM1 null genotype and PCa risk (OR= 3.69, 95% CI= 1.30-10.44; P = 0.01) was evident, the GSTT1 null genotype (OR= 0.92, 95% IC= 0.32-2.62; P = 0.49) appeared without influence. Furthermore, no statistically significant differences between the double null genotype and PCa is detected, also no statistically significant differences between smoking status and PCa is detected. Conclusion: The GSTM1 null genotype may increase individual susceptibility to prostate cancer. On the other hand, the null-activity genotype of GSTT1 did not appear to contribute to the risk of prostate cancer in our population.
PEDOT:PSS electrodes for acute experimental evaluation of vagus nerve stimulation on rodents

The vagus nerve (VN) is involved in the autonomic regulation of many physiological systems (cardiovascular, respiratory, gastrointestinal, etc.) and its stimulation is already an approved therapy for refractory epilepsy and depression. Other pathologies are thought to be treatable through vagus nerve stimulation (VNS), such as heart failure, cardiac arrhythmia, inflammation or auto-immune diseases. However, the efficacy of the stimulation is not always optimal, partly due to the materials and the architecture of currently available electrodes. Standard electrodes, composed of metallic rings that stimulate the whole diameter of the nerve, are not adapted to experimentations involving spatial selectivity. Efficient and selective charge injection is usually difficult to achieve simultaneously, especially in experimental setups using rodents, due to the thin diameter of their VN. In this paper, we show that we can take advantage of the high charge injection property of conducting polymers to acutely stimulate the vagus nerve in rodents, using individual active electrodes with dimensions $725\,\,\mu \mathrm{m}\times \,450\,\,\mu\mathrm{m}$. A particular PEDOT:PSS architecture integrating 12 active electrodes is developed and applied to the VN of one rat. A closed-loop VNS system developed in our previous works is used to stimulate the VN while analyzing the heart rate response. Results show the feasibility of this kind of electrodes for acute VNS on rodents and open the path towards new experimentations focused on selective stimulation and recording.
Association of Patient Acuity and Missed Nursing Care in U.S. Neonatal Intensive Care Units

The health outcomes of infants in neonatal intensive care units (NICUs) may be jeopardized when required nursing care is missed. This correlational study of missed care in a U.S. NICU sample adds national scope and an important explanatory variable, patient acuity. Using 2016 NICU registered nurse survey responses (N = 5,861) from the National Database of Nursing Quality Indicators, we found that 36% of nurses missed one or more care activities on the past shift. Missed care prevalence varied widely across units. Nurses with higher workloads, higher acuity assignments, or in poor work environments were more likely to miss care. The most common activities missed involved patient comfort and counseling and parent education. Workloads have increased and work environments have deteriorated compared with 8 years ago. Nurses’ assignments should account for patient acuity. NICU nurse staffing and work environments warrant attention to reduce missed care and promote optimal infant and family outcomes.
Is there a Chance to Promote Arteriogenesis by DPP4 Inhibitors Even in Type 2 Diabetes? A Critical Review

Cardiovascular diseases (CVD) are still the prevailing cause of death not only in industrialized countries, but even worldwide. Type 2 diabetes mellitus (type 2 DM) and hyperlipidemia, a metabolic disorder that is often associated with diabetes, are major risk factors for developing CVD. Recently, clinical trials proved the safety of gliptins in treating patients with type 2 DM. Gliptins are dipeptidyl-peptidase 4 (DPP4/CD26) inhibitors, which stabilize glucagon-like peptide-1 (GLP-1), thereby increasing the bioavailability of insulin. Moreover, blocking DPP4 results in increased levels of stromal cell derived factor 1 (SDF-1). SDF-1 has been shown in pre-clinical animal studies to improve heart function and survival after myocardial infarction, and to promote arteriogenesis, the growth of natural bypasses, compensating for the function of an occluded artery. Clinical trials, however, failed to demonstrate a superiority of gliptins compared to placebo treated type 2 DM patients in terms of cardiovascular (CV) outcomes. This review highlights the function of DPP4 inhibitors in type 2 DM, and in treating cardiovascular diseases, with special emphasis on arteriogenesis. It critically addresses the potency of currently available gliptins and gives rise to hope by pointing out the most relevant questions that need to be resolved.
Dissociation Mediates the Relationship Between Childhood Trauma and Experiences of Seeing Visions in a French Sample

Abstract Recent research has supported the mediating role of dissociation in the relationship between childhood trauma (CT) and voice hearing in clinical and nonclinical populations. However, this mediating role has not yet been explored with regard to seeing visions (visual hallucinations). This study aimed to explore the mediating effect of dissociation on the relationship between CT and seeing visions. In total, 425 voluntary participants recruited from the general population completed an online survey evaluating CT, dissociative experiences, and the experience of hearing voices and seeing things. The findings showed that defensive dissociation mediated the association between CT and the experience of seeing visions. A similar model in terms of pathways and the model's predictive accuracy was found for hearing voices. Therefore, seeing visions may partly reflect dissociated traumatic events intruding into consciousness. Trauma-based interventions for seeing visions may be beneficial in improving distress associated with these experiences.
Retroperitoneal paraganglioma: a chameleon masquerading as an adrenal pheochromocytoma

ABSTRACT Retroperitoneal paragangliomas are rare tumours arising from neural crest cells located near or in the autonomic nervous system; right from the skull bass to the pelvic floor. Often called the great masqueraders, their diagnosis and treatment is often difficult and fraught with danger, considering the close proximity of these tumours to important retroperitoneal organs. A 29‐year‐old woman presented to the outpatient department with complaints of paroxysms of headache, sweating and palpitations for one year. She was found to have elevated urinary metadrenalines (metanephrines) and a suprarenal mass on contrast‐enhanced computed tomography of the abdomen, which demonstrated increased tracer activity on I‐131 iodine‐123 meta‐iodobenzylguanidine scintigraphy. Adrenal pheochromocytoma was diagnosed and she underwent laparoscopic adrenalectomy after stabilisation of her blood pressure. Laparoscopy revealed a large suprarenal mass with dense adhesions to the inferior vena cava that was carefully separated from the vein and surrounding structures. The cut section revealed a heterogeneous mass encasing a normal adrenal gland and histopathology confirmed the same, confirming the final diagnosis of retroperitoneal paraganglioma.
Factors Related to ICT Competencies for Students with Learning Disabilities

The purpose of this study was to develop an explanatory model for the information and communication technology (ICT) competencies of students with and without learning disabilities (LD). A conceptual model was proposed, and included five major constructs: (1) attitude towards using ICT, (2) ICT competency, (3) demographic characteristics, (4) ICT access, and (5) purpose for using ICT. A self-reported questionnaire, Scale of Digital Participation (SDP), was designed by the authors and used to collect data. Data from 117 elementary school students with LD and 117 without LD were used to test the initial model. Meanwhile, data from 102 junior high school students with LD and 102 students without LD were used to evaluate the cross-validation of the revised model. The results of structural equation modelling (SEM) demonstrate acceptable goodness of fit for the initial ICT competency model but poor parsimony. Therefore, a revised ICT competency model with both parsimony and goodness of fit was generated using data from elementary school age students. Moreover, this new model was also able to further explain the complex phenomena of ICT competency for junior high school age students. Nevertheless, no differences were found between the elementary school and junior high school models, thereby confirming the cross-validation of the revised model.
GOT-10k: A Large High-Diversity Benchmark for Generic Object Tracking in the Wild

We introduce here a large tracking database that offers an unprecedentedly wide coverage of common moving objects in the wild, called GOT-10k. Specifically, GOT-10k is built upon the backbone of WordNet structure <xref ref-type="bibr" rid="ref1">[1]</xref> and it populates the majority of over 560 classes of moving objects and 87 motion patterns, magnitudes wider than the most recent similar-scale counterparts <xref ref-type="bibr" rid="ref19">[19]</xref>, <xref ref-type="bibr" rid="ref20">[20]</xref>, <xref ref-type="bibr" rid="ref23">[23]</xref>, <xref ref-type="bibr" rid="ref26">[26]</xref>. By releasing the large high-diversity database, we aim to provide a unified training and evaluation platform for the development of class-agnostic, generic purposed short-term trackers. The features of GOT-10k and the contributions of this article are summarized in the following. (1) GOT-10k offers over 10,000 video segments with more than 1.5 million manually labeled bounding boxes, enabling unified training and stable evaluation of deep trackers. (2) GOT-10k is by far the first video trajectory dataset that uses the semantic hierarchy of WordNet to guide class population, which ensures a comprehensive and relatively unbiased coverage of diverse moving objects. (3) For the first time, GOT-10k introduces the <italic>one-shot</italic> protocol for tracker evaluation, where the training and test classes are <italic>zero-overlapped</italic>. The protocol avoids biased evaluation results towards familiar objects and it promotes generalization in tracker development. (4) GOT-10k offers additional labels such as motion classes and object visible ratios, facilitating the development of motion-aware and occlusion-aware trackers. (5) We conduct extensive tracking experiments with 39 typical tracking algorithms and their variants on GOT-10k and analyze their results in this paper. (6) Finally, we develop a comprehensive platform for the tracking community that offers full-featured evaluation toolkits, an online evaluation server, and a responsive leaderboard. The annotations of GOT-10k’s test data are kept private to avoid tuning parameters on it.
Breast cancer‐specific survival by clinical subtype after 7 years follow‐up of young and elderly women in a nationwide cohort

Age and tumor subtype are prognostic factors for breast cancer survival, but it is unclear which matters the most. We used population‐based data to address this question. We identified 21,384 women diagnosed with breast cancer at ages 20–89 between 2005 and 2015 in the Cancer Registry of Norway. Subtype was defined using estrogen receptor (ER), progesterone receptor (PR) and human epidermal growth factor 2 (HER2) status as luminal A‐like (ER+PR+HER2‐), luminal B‐like HER2‐negative (ER+PR‐HER2‐), luminal B‐like HER2‐positive (ER+PR+/‐HER2+), HER2‐positive (ER‐PR‐HER2+) and triple‐negative (TNBC) (ER‐PR‐HER2‐). Cox regression estimated hazard ratios (HR) for breast cancer‐specific 7‐year survival by age and subtype, while adjusting for year, grade, TNM stage and treatment. Young women more often had HER2‐positive and TNBC tumors, while elderly women (70–89) more often had luminal A‐like tumors. Compared to age 50–59, young women had doubled breast cancer‐specific mortality rate (HR = 2.26, 95% CI 1.81–2.82), while elderly had two to five times higher mortality rate (70–79: HR = 2.25, 1.87–2.71; 80–89: HR = 5.19, 4.21–6.41). After adjustments, the association was non‐significant among young women but remained high among elderly. Young age was associated with increased breast cancer‐specific mortality among luminal A‐like subtype, while old age was associated with increased mortality in all subtypes. Age and subtype were strong independent prognostic factors. The elderly always did worse, also after adjustment for subtype. Tumor‐associated factors (subtype, grade and stage) largely explained the higher breast cancer‐specific mortality among young. Future studies should address why luminal A‐like subtype is associated with a higher mortality rate in young women.
Diet and ambient temperature interact to shape plasma fatty acid composition, basal metabolic rate and oxidative stress in great tits

ABSTRACT Diet and ambient temperature affect animal physiology, survival and reproductive success. However, knowledge of how these environmental factors interact to shape physiological processes and life-history traits of birds and other animals is largely lacking. By exposing adult great tits (Parus major) to two contrasting diets (saturated or unsaturated fatty acids; SFAs and UFAs, respectively) and ambient temperatures (3°C versus 20°C) that the birds encounter in nature, we investigated the effects of these two factors on several physiological parameters. Our results show that diet and ambient temperature interact to affect the composition of plasma fatty acids, basal metabolic rate (BMR) and oxidative stress, which are thought to affect the life-history and survival of individuals. Specifically, birds provided the SFA-rich diet had higher mass-specific BMR and oxidative stress (levels of lipid peroxidation) after exposure to low compared with high ambient temperature, whereas the opposite pattern was evident for birds with a UFA-rich diet. Surprisingly, birds on the SFA diet had higher relative levels of monounsaturated fatty acids compared with the UFA-fed birds at low ambient temperature, whereas the opposite, and expected, pattern was found at the high temperature. Although the present study focuses on the physiological implications of the diet×temperature interaction, our results might also be important for the leading theories of ageing, which currently do not take interactions between environmental factors into account. In addition, the present results are important for wildlife management, especially with regards to anthropogenic feeding of wild animals across variable and changing climatic conditions. Summary: The effect of diet on bird fatty acid composition, basal metabolic rate and oxidative damage is dependent on ambient temperature.
Elbow Joint Angle Estimation with Surface Electromyography Using Autoregressive Models

This paper presents a method to estimate the elbow joint angle from surface electromyography (sEMG) measurements of biceps, triceps and brachioradialis. This estimation is of major importance for the design of human robot interfaces based on sEMG. It is also relevant to model the muscular system and to design biomimetic mechanisms. However, the processing and interpretation of electromyographic signals is challenging due to nonlinearities, unmodeled muscle dynamics, noise and interferences. In order to determine an estimation model and a calibration procedure for the model parameters, a set of experiments were carried out with six subjects. The experiments consisted of series of continuous (cyclical) and discrete elbow flexo-extensions with three different loads (i.e. 0 kg, 1.5kg and 3 kg). The sEMG data from the biceps brachii, triceps brachii and brachioradialis and the joint angle were recorded. Four different modeling techniques were evaluated: State Space (SS), Autoregressive with Exogenous Input (ARX), Autoregressive Moving-Average with Exogenous Input (ARMAX), Autoregressive Integrated Moving-Average with Exogenous Input (ARIMAX). After the model was selected, a second experiment was performed in order to validate the estimation procedure. The results show a procedure to estimate the EMG-to-angle relation with high correlation and low meansquare- root errors with respect to the measured angle data.