Miracle-dz/UniFAR-FTUs huggingface dataset:
An Enhanced Seasonal-Hybrid ESD Technique for Robust Anomaly Detection on Time Series

Nowadays, time series data underlies countless research activities. Despite the wide range of techniques to capture and process all this information, issues such as analyzing large amounts of data and detecting unusual behaviors on them still pose a great challenge. In this context, this paper suggests SHESD+, a statistical technique that combines the Extreme Studentized Deviate (ESD) test and a decomposition procedure based on Loess to detect anomalies on time series data. The proposed technique employs robust metrics to identify anomalies in a more proper and accurate manner, even in the presence of trend and seasonal spikes. Simulation studies are carried out to evaluate the effectiveness of the SH-ESD+ using the published Numenta Anomaly Benchmark (NAB) collection. Computational results show that the SH-ESD+ performs consistently when compared against state-of-the-art and classic detection techniques.
Development and Initial Validation of the Children’s Hardiness Scale

Several measures have been developed in the past decades to assess the dimensions of hardiness in adult populations, whereas the same for children has remained relatively understudied. The present research has sought to develop and validate children’s hardiness scale (CHS) to assess hardiness attitudes in the respondents with age categories ranging between 10 and 12. Relying on a mixed-method approach, the research has been conducted in two studies. In the first, using both deductive and inductive methods, items were generated. The Content and face validity of the items was explored. To determine factor structure afterward, the exploratory factor analysis was conducted. In the course of the second study, confirmatory factor analysis confirmed the scale’s dimensionality and factor structure. The significant correlation between CHS, academic hardiness, and perceived stress, demonstrated the construct validity of the scale. Using the convenience sampling method, a total sample of 641 children participated in both studies. The results demonstrated that the final scale in line with the hardiness theory comprised three subscales: “commitment”, “control”, and “challenge”. The scale revealed acceptable internal consistency, reliability, and construct validity. Overall, the results of the current research indicated that a 20-item CHS can be applied in evaluating children’s hardiness attitudes. Further studies are required, however, to assess the applicability of the scale in different cultural populations.
Gunshot residue and airbags: Part II. A case study

Abstract We report a case of a shooting incident where analysis of airbag residue was of critical importance to interpret the forensic significance of gunshot residue (GSR) found on a suspect. The suspect had allegedly fired a gun at the victim after having been involved in a motor vehicle collision. Airbags in the suspect’s vehicle had deployed during the collision, potentially exposing the suspect to a non-firearm source of GSR-similar particles. Samples collected from the interior of the deployed airbags were analyzed using scanning electron microscopy and energy-dispersive X-ray spectroscopy (SEM-EDS) and no particles similar to particles characteristic of GSR were found, eliminating the airbags as a potential source of GSR found on the suspect.
DataToon: Drawing Dynamic Network Comics With Pen + Touch Interaction

Comics are an entertaining and familiar medium for presenting compelling stories about data. However, existing visualization authoring tools do not leverage this expressive medium. In this paper, we seek to incorporate elements of comics into the construction of data-driven stories about dynamic networks. We contribute DataToon, a flexible data comic storyboarding tool that blends analysis and presentation with pen and touch interactions. A storyteller can use DataToon rapidly generate visualization panels, annotate them, and position them within a canvas to produce a visually compelling narrative. In a user study, participants quickly learned to use DataToon for producing data comics.
Headspace analysis of mesothelioma cell lines differentiates biphasic and epithelioid sub-types

Malignant mesothelioma (MM) is an incurable cancer. MM is often misdiagnosed, with a poor 5-year survival and limited treatment options. The discovery of endogenous volatile organic compounds (VOCs) is required in order to accelerate the development of a breath test as an alternative to conventional MM diagnosis. For the first time, this study used solid-phase microextraction and gas chromatography-mass spectrometry to identify VOCs released directly from the biphasic MM cell line MSTO-211H and the epithelioid MM cell line NCI-H28 as well as the non-malignant mesothelial cell line MET-5A. Multivariate statistical analysis showed separation between MSTO-211H, NCI-H28 and MET-5A results. 2-ethyl-1-hexanol was significantly increased in both MSTO-211H and NCI-H28 cells compared to MET-5A controls. In addition, ethyl propionate and cyclohexanol were significantly increased in MSTO-211H cells and dodecane was significantly increased in NCI-H28 cells. This is the first study reporting headspace analysis of these MM cell lines and the first to consider the effects of mesothelioma sub-type on VOC profile. Current results further highlight the potential for a diagnostic mesothelioma breath test as well as providing proof of concept for the differentiation between biphasic and epithelioid mesothelioma based on VOC profiles.
Phyllosphere Bacteria Improve Animal Contribution to Plant Nutrition

Many plant species have evolved special adaptations for acquiring nitrogen in nutrient‐poor soils. In Brazilian savannas, the bromeliad Bromelia balansae (Bromeliaceae) is inhabited by mutualistic spiders (Psecas chapoda, Salticidae), which provide nutrients to the plant through their debris (feces, prey carcasses). In this study, we tested if bacteria present on the B. balansae phyllosphere improves plant nutrition and growth by mineralizing complex organic N compounds from spider debris that accumulate on the phyllosphere into simple compounds that may be absorbed easily by leaves. We conducted a greenhouse experiment by manipulating bacteria abundance on the bromeliad phyllosphere using antibiotics. Using isotopic mixed model equations, we demonstrated that debris from spiders contributed 10.7 ± 1.9 percent (mean ± standard error) of the N in bromeliads that had their bacterial abundance reduced. In contrast, spider feces contributed 27.1 ± 4.4 percent of bromeliad N in the presence of the entire bacterial assemblage. These bromeliads accumulated 57 percent more soluble protein and grew 13 percent more than bromeliads that were grown under reduced bacterial density. These results highlight the importance of mineralizing bacteria on phyllosphere as a mechanism of N uptake by bromeliads.
Human Rotator Cuff Tears Have an Endogenous, Inducible Stem Cell Source Capable of Improving Muscle Quality and Function After Rotator Cuff Repair

Background: The muscle quality of the rotator cuff (RC), measured by atrophy and fatty infiltration (FI), is a key determinant of outcomes in RC injury and repair. The ability to regenerate muscle after repair has been shown to be limited. Purpose: To determine if there is a source of resident endogenous stem cells, fibroadipogenic progenitor cells (FAPs), within RC injury patients, and if these cells are capable of adipogenic, fibrogenic, and pro-myogenic differentiation. Study Design: Controlled laboratory study. Methods: A total of 20 patients between the ages of 40 and 75 years with partial- or full-thickness RC tears of the supraspinatus and evidence of atrophy and FI Goutallier grade 1, 2, or 3 were selected from 2 surgeons at an orthopaedic center. During the surgical repair procedure, supraspinatus muscle biopsy specimens were obtained for analysis as were deltoid muscle biopsy specimens to serve as the control. FAPs and satellite cells were quantified using fluorescence-activated cell sorting. Muscle FI and fibrosis was quantified using Oil Red O and Masson trichrome staining. FAP differentiation and gene expression profiles were compared across tear sizes after culture in adipogenic, fibrogenic, and beta-3 agonist (amibegron) conditions. Analysis of variance was used for statistical comparisons between groups, with P < . 05 as statistically significant. Results: Histologic analysis confirmed the presence of fat in biopsy specimens from patients with full-thickness tears. There were more FAPs in the full-thickness tear group compared with the partial-thickness tear group (9.43% ± 4.25% vs 3.84% ± 2.54%; P < .01). Full-thickness tears were divided by tear size, with patients with larger tears having significantly more FAPs than those with smaller tears. FAPs from muscles with full-thickness tendon tears had more adipogenic and fibrogenic potential than those with partial tears. Induction of a beige adipose tissue (BAT) phenotype in FAPs was possible, as demonstrated by increased expression of BAT markers and pro-myogenic genes including insulin-like growth factor 1 and follistatin. Conclusion: Endogenous FAPs are present within the RC and likely are the source of FI. These FAPs were increased in muscles with in larger tears but are capable of adopting a pro-myogenic BAT phenotype that could be utilized to improve muscle quality and patient function after RC repair.
Change in Ophthalmology Practice during COVID-19 Pandemic: Egyptian Perspective

Purpose: To assess the impact of the COVID-19 pandemic on ophthalmology practice in the Cairo metropolitan area. Methods: This is a cross-sectional observational analytic study among ophthalmologists practicing in different hospitals in the Cairo metropolitan area. The data were collected through a self-administered questionnaire covering general measures taken during practice. Results: The questionnaire was sent to 250 ophthalmologists, with an 82% response rate. Most of the participants were concerned about the economic impact of the pandemic, as there is a 60–80% reduction in the flow of patients with a consequent 80–100% reduction in surgical cases. Most of the participants have access to personal protective equipment, and the safety protocols are followed, especially by the older ophthalmologists. Thus, the surgeons are willing to perform elective surgeries, adhering to strict safety protocols (70.8, 42.6, and 18.8% of the refractive surgeons, corneal surgeons, and retinal surgeons, respectively; p = 0.00). Furthermore, 63.9% of the participants, especially the young ophthalmologists, are willing to see COVID-19 patients and operate on them if needed. Conclusions: The COVID-19 pandemic could go on for months or even years with a significant impact on ophthalmology practice. Trying to keep a balance between safety and economic burden, the majority of ophthalmologists are willing to see elective patients and urgently operate on a COVID-19 patient, under adherence to the safety protocols.
The Role of Executive Functions in the Development of Empathy and Its Association with Externalizing Behaviors in Children with Neurodevelopmental Disorders and Other Psychiatric Comorbidities

Executive functions have been previously shown to correlate with empathic attitudes and prosocial behaviors. People with higher levels of executive functions, as a whole, may better regulate their emotions and reduce perceived distress during the empathetic processes. Our goal was to explore the relationship between empathy and executive functioning in a sample of children and adolescents diagnosed with Attention Deficit and Hyperactivity Disorder alone or associated with comorbid Disruptive Behavior Disorders and/or Autism Spectrum Disorder. We also aimed to examine the role of empathic dimensions and executive skills in regulating externalizing behaviors. The 151 participants with ADHD were assigned to four groups according to their psychiatric comorbidity (either “pure” or with ASD and/or ODD/CD) and assessed by means of either parent- or self-reported questionnaires, namely the BRIEF−2, the BES, and the IRI. No questionnaire was found to discriminate between the four groups. Affective Empathy was found to positively correlate with Emotional and Behavioral Regulation competences. Furthermore, Aggressiveness and Oppositional Defiant Problems were positively associated with Executive Emotional and Behavioral Regulation competences. On the other hand, Rule-Breaking Behaviors and Conduct Problems were negatively associated with Affective Empathy and with Behavioral skills. Our study provides an additional contribution for a better understanding of the complex relationship between empathic competence and executive functions, showing that executive functioning and empathic attitudes interact with each other to regulate aggressive behaviors. This study further corroborates developmental models of empathy and their clinical implications, for which externalizing behaviors could be attenuated by enhancing executive functioning skills.
CEOs with Innovative Ability

This paper studies if and how CEOs with innovative ability affect a firm’s innovation, corporate policies and firm value. Using a sample of 2,134 U.S. public firms and 3,952 CEOs from 1992 to 2008 for all industries, I find that innovator CEOs who have at least one patent can spur firm innovation but pose agency problems to the firm. Specifically, firms with innovator CEOs spend more on R&D projects but with lower efficiency compared to firms with non-innovator CEOs, suggesting that innovator CEOs have overinvestment problems. These overinvestment problems are recognized by the stock market. A CEO’s innovative ability has a negative impact on the announcement date stock return of hiring a new innovator CEO. Also, firms with innovator CEOs hold more cash compared to firms with non-innovator CEOs but the cash value is lower.
Multimodal Fused Emotion Recognition About Expression-EEG Interaction and Collaboration Using Deep Learning

The proposed emotion recognition model is based on the hierarchical long-short term memory neural network (LSTM) for video-electroencephalogram (Video-EEG) signal interaction. The inputs are facial-video and EEG signals from the subjects when they are watching the emotion-stimulated video. The outputs are the corresponding emotion recognition results. Facial-video features and corresponding EEG features are extracted based on a fully connected neural network (FC) at each time point. These features are fused through hierarchical LSTM to predict the key emotional signal frames at the next time point until the emotion recognition result is calculated at the last time point. Specially, a self-attention mechanism is applied to show the correlation of the stacked LSTM at different hierarchies. In this process, the “selective focus” is used to analyze the human-emotional temporal sequences in each model, which improves the utilization of the key spatial EEG signals. Moreover, the process includes the temporal attention mechanism to predict the key signal frame at next time point, which utilizes the key emotion data in temporal domain. The experimental results prove that the classification rate (CR) and F1-score of the proposed emotion recognition model are significantly increased by at least 2% and 0.015, respectively, compared to other methods.
Habitat Switch and Niche Overlap in Coregonid Fishes: Effects of Zooplankton Abundance

Vendace (Coregortus albula) in Lake Mjosa lived in the pelagic zone and gillnet catches were correlated with water temperature (r2 = 0.457, p < 0.005). Whitefish (Coregonus lavaretus) exploited both epibenthic and pelagic areas. Whitefish with body lengths between 25 and 35 cm moved from the epibenthic to pelagic zone during summer; other length groups remained in epibenthic habitats. The pelagic fish returned to epibenthic areas in the autumn. Cladocerans were important food items for both fish species in the pelagic zone. The large copepod Limnocalanus macrurus was eaten only by vendace whereas surface insects were more important prey for whitefish. This suggests that vendace is the more specialized zooplanktivore. The pelagic gillnet catch of whitefish and the pelagic habitat overlap between whitefish and vendace increased with increasing zooplankton densities at depths between 0 and 50 m (r2 = 0.609 and 0.494, respectively, p < 0.01). During spring and autumn we observed a time lag between the change .
Breast Lesion Classification in Ultrasound Images Using Deep Convolutional Neural Network

In recent years, convolutional neural networks (CNNs) have found many applications in medical image analysis. Having enough labeled data, CNNs could be trained to learn image features and used for object localization, classification, and segmentation. Although there are many interests in building and improving automated systems for medical image analysis, lack of reliable and publicly available biomedical datasets makes such a task difficult. In this work, the effectiveness of CNNs for the classification of breast lesions in ultrasound (US) images will be studied. First, due to a limited number of training data, we use a custom-built CNN with a few hidden layers and apply regularization techniques to improve the performance. Second, we use transfer learning and adapt some pre-trained models for our dataset. The dataset used in this work consists of a limited number of cases, 641 in total, histopathologically categorized (413 benign and 228 malignant lesions). To assess how the results of our classifier generalize on our data set, a 5-fold cross-validation were employed, where in each fold 80% of data were used for training and the 20% for testing. Accuracy and the area under the ROC curve (AUC) were used as the main performance metrics. Before applying any regularizations techniques, we achieved an overall accuracy of 85.98% for tumor classification, and the AUC equal to 0.94. After applying image augmentation and regularization, the accuracy and the AUC increased to 92.05% and 0.97, respectively. Using a pre-trained model, we achieved an overall accuracy of 87.07% and an AUC equal to 0.96. The obtained results demonstrated the effectiveness of our custom architecture for classification of tumors in this small US imaging dataset, surpassing some traditional learning algorithm based on manual feature selection.
Effects of Diets Containing Finger Millet Straw and Corn Straw on Growth Performance, Plasma Metabolites, Immune Capacity, and Carcass Traits in Fattening Lambs

Simple Summary As the byproduct of crops, straw is an important roughage resource in sheep production in rural areas. Finger millet straw crop has widely been planted in arid and semi-arid area of the world. However, little is known about the effect of mixed diets containing millet straw and corn straw on the production of fattening lambs. This research evaluated the effect of whole mix diet concentrate and roughage containing different proportions of millet straw and corn straw on the growth performance, blood metabolites, immune capacity, and carcass traits of lambs. The results proved the feeding effect of millet straw substituted for 50% of corn straw in fattening lambs. Abstract As the byproduct of finger millet, millet straw is a new forage resource of ruminants. The effect of the combined utilization of millet straw with corn straw on fattening lamb production is seldom reported. The purpose of this study was to investigate the effect of different proportions of millet straw instead of corn straw on the growth performance, blood metabolites, immune response, meat yield, and quality of fattening lamb. Sixty-three-month-old healthy Small-Tailed Han sheep crossbred rams with an average initial weight of 19.28 ± 2.95 kg were randomly divided into four groups, with three replicates in each group and five lambs in each replicate. The replacement ratio of millet straw of each group (Group Ⅰ, Ⅱ, Ⅲ, Ⅳ) was 0%, 25%, 35%, 50% at the first stage (the first two months) and 0%, 20%, 28%, 40% in the second period (final two months), respectively. The experiment lasted 4 months 10 days of the pre-feeding period. The results indicated that the body weight gain and average daily gain of group Ⅱ were significantly higher than those of group Ⅰ and group Ⅳ (p < 0.05). The concentration of total protein in group Ⅳ was significantly increased compared to those of the other three groups at the second stage (p < 0.05), which proved that the protein synthesis metabolism capacity was improved with the addition of millet straw. The concentration of the plasma glutamic-oxalacetic transaminase and lactic dehydrogenase of lambs was significantly decreased in group Ⅱ (p < 0.05). The combination of millet straw and corn straw had no impact on the glucose, total cholesterol, and triglycerides metabolism (p > 0.05). There was no significant difference in the pre-slaughter weight, carcass weight, dressing percentage, loin-eye area, and GR value among the four groups (p > 0.05). Furthermore, the immune response and meat quality were not impacted by the different proportions of millet and corn forage diets. The results showed that the combined utilization of millet straw with corn straw could improve the blood biochemistry metabolism capability of fattening lambs. The replacement of 50% of corn straw with millet straw could improve the growth performance and be an application in fattening lamb production.
Identifying research priorities for the study of atypical anorexia nervosa: A Delphi study.

OBJECTIVE Individuals meeting all criteria for anorexia nervosa (AN) except that weight falls within or above the normal range despite significant weight loss are categorized as having atypical AN (AAN). Existing research has provided mixed evidence concerning the diagnostic demarcation of AN and AAN. The aim of the present study was to identify research priorities for furthering the understanding of AN and AAN as diagnostic entities. METHOD Employing the Delphi methodology, experts in the field were invited to suggest research questions that need to be explored in the demarcation of AN from AAN. This yielded 24 research areas, that were presented in subsequent rounds where panelists were asked to prioritize areas of primary interest. RESULTS Fifty-three panelists completed all three Delphi rounds. Consensus was only reached on three items considered to be of primary interest: medical, neurobiological, and neurological factors; epidemiology and natural course; and treatment response in AAN compared to AN. In contrast, questions of premorbid weight and determining the need for and nature of a body mass index cutoff differentiating between AAN and AN were seen as being of low priority. DISCUSSION These findings reveal a relatively low degree of consensus on the demarcation of AN from AAN in the field of eating disorders. A reason could be that the definition and use of the AAN category vary in research and clinical practice. In order to achieve further diagnostic clarity, research on the demarcation of AAN and AN should focus on the identified prioritized research areas.