Miracle-dz/UniFAR-FTUs huggingface dataset:
Hull convexity defect features for human action recognition

Human action recognition is a rapidly developing field in computer vision. Accurate algorithmic modeling of action recognition must contend with a multitude of challenges. Machine vision and pattern recognition algorithms can be used to aid in the identification of these actions. In recent years research has focused on recognizing complex actions using simple features. Simple cases of action recognition, wherein one individual is captured performing a single action, form the foundation for developing more complex scenarios in real environments. This can be especially useful for surveillance of public locations such as subways, shopping centers, or parking lots in order to reduce crime, monitor traffic flow, and offer security in general. An effective action recognition algorithm must address the following challenges that affect feature extraction for accurate representation: non-rigidity, spatial-variance, temporal-variance, camera perspective. Where face detection seeks to identify the location of an individual's face, activity recognition seeks to recognize the motion or action of an individual. There is generally a commonality of features in the true positive set with face recognition; certain rigid features are present on every human face. Action recognition, on the other hand, must deal with the non-rigidity of the human body. The arms and legs can be at a number of positions relative to one another, and at varying distances and angles. These relative positions describe actions or intermediary poses. We consider developing a taxonomic shape driven algorithm to solve the problem of human action recognition and develop a new feature extraction technique using hull convexity defects. To test and validate this approach, we use silhouettes of subjects performing ten actions from a commonly used video database by action recognition researchers. A morphological algorithm is used to filter noise from the silhouette. A convex hull is then created around the silhouette frame, from which convex defects will be used as the features for analysis. A complete feature consists of thirty individual values which represent the five largest convex hull defects areas. A consecutive sequence of these features form a complete action. Action frame sequences are preprocessed to separate the data into two sets based on perspective planes and bilateral symmetry. Features are then normalized to create a final set of action sequences. We then formulate and investigate three methods to classify ten actions from the database. Testing and training of the nine test subjects is performed using a leave one out methodology. Classification utilizes both PCA and minimally encoded neural networks. Performance evaluation results show that the Hull Convexity Defect Algorithm provides comparable results with less computational complexity. This research can lead to a real time performance application that can be incorporated to include distinguishing more complex actions and multiple person interaction.
Yeast Chronological Lifespan: Longevity Regulatory Genes and Mechanisms

S. cerevisiae plays a pivotal role as a model system in understanding the biochemistry and molecular biology of mammals including humans. A considerable portion of our knowledge on the genes and pathways involved in cellular growth, resistance to toxic agents, and death has in fact been generated using this model organism. The yeast chronological lifespan (CLS) is a paradigm to study age-dependent damage and longevity. In combination with powerful genetic screening and high throughput technologies, the CLS has allowed the identification of longevity genes and pathways but has also introduced a unicellular “test tube” model system to identify and study macromolecular and cellular damage leading to diseases. In addition, it has played an important role in studying the nutrients and dietary regimens capable of affecting stress resistance and longevity and allowing the characterization of aging regulatory networks. The parallel description of the pro-aging roles of homologs of RAS, S6 kinase, adenylate cyclase, and Tor in yeast and in higher eukaryotes in S. cerevisiae chronological survival studies is valuable to understand human aging and disease. Here we review work on the S. cerevisiae chronological lifespan with a focus on the genes regulating age-dependent macromolecular damage and longevity extension.
Development of a Model Using Data Mining Technique to Test, Predict and Obtain Knowledge from the Academics Results of Information Technology Students

Due to the huge amount of data obtained from students’ academic results in most tertiary institutions such as the colleges, polytechnics and universities, data mining has become one of the most effective tools for discovering vital knowledge from students’ dataset. The discovered knowledge can be productive in understanding numerous challenges in the scope of education and providing possible solutions to these challenges. The main objective of this research is to utilize the J48 decision algorithm model to test, classify and predict the students’ dataset by identifying some important attributes and instances. The analysis was conducted on the final year students’ academic results in C# programming amongst five universities which was imported in csv excel file dataset in WEKA environment. These training datasets contained the scores obtained in the examinations, grade remarks, grades, gender, and department. The knowledge extracted for the prediction model will help both the tutors and students to determine the success grade performance in the future. Flow lines, J48 decision trees, confusion matrices and a program flowchart were generated from the students’ dataset. The KAPPA value obtained from the prediction in this research ranges from 0.9070–0.9582 which perfectly agrees with the standard for an ideal analysis on datasets.
Phospholipid Membrane Transport and Associated Diseases

Phospholipids are the basic structure block of eukaryotic membranes, in both the outer and inner membranes, which delimit cell organelles. Phospholipids can also be damaged by oxidative stress produced by mitochondria, for instance, becoming oxidized phospholipids. These damaged phospholipids have been related to prevalent diseases such as atherosclerosis or non-alcoholic steatohepatitis (NASH) because they alter gene expression and induce cellular stress and apoptosis. One of the main sites of phospholipid synthesis is the endoplasmic reticulum (ER). ER association with other organelles through membrane contact sites (MCS) provides a close apposition for lipid transport. Additionally, an important advance in this small cytosolic gap are lipid transfer proteins (LTPs), which accelerate and modulate the distribution of phospholipids in other organelles. In this regard, LTPs can be established as an essential point within phospholipid circulation, as relevant data show impaired phospholipid transport when LTPs are defected. This review will focus on phospholipid function, metabolism, non-vesicular transport, and associated diseases.
estrés laboral en el personal de enfermería

Para Raphael, Kelly (1991) “El personal de la salud trabaja frecuentemente con personas que experimentan graves traumas y crisis personales. Estos pueden variar desde enfermedades crónicas, incapacidades y traumas agudos, hasta enfermedades psiquiátricas mayores y enfermedades terminales”. El objetivo de este estudio documental fue Identificar los factores más comunes de estrés en el área de Enfermería y sugerir recomendaciones para el mejoramiento del manejo del estrés en Enfermería. Por otro lado, en cuanto a metodología este estudio documental se considera de tipo bibliográfico, y en el que se realizan búsquedas de informaciones de estudios realizados previamente sobre el estrés en Enfermería. Estas investigaciones y/o referencias consideradas, fueron extraídas de buscadores confiables como lo son: PubMed, Scielo, Google Académico. Se revisaron aproximadamente 65 artículos, sobre el estrés en Enfermería, en distintas áreas como lo son, sala de urgencias, Oncología, e inclusive en su etapa estudiantil, realizando posteriormente una selección final de 40 fuentes bibliográficas, considerando fecha de publicación de los últimos 20 años. No se consideraron como parte de este estudio, investigaciones sobre el estrés en otros personales de la Salud como Médicos, Auxiliares, Laboratoristas. Se concluye luego de revisado los artículos Enfermería es una carrera con alto nivel de estrés, debido a las asignaciones y riesgos que a diario se enfrentan. Sin embargo, a pesar de someterse a altos niveles de estrés, no se identifican planes de prevención o control para el cuidado del estrés en los Enfermeros, ni siquiera un plan de seguimiento a dicho personal, lo que acentúa el peligro en esta área de la Salud.
Thermal comfort evaluation in architectural studio classrooms – A summer study in a warm to moderate Indian climate

This paper reports the findings from a thermal comfort field study conducted in institutional studio classrooms in the warm-to-moderate climate of Tumkur in Karnataka, India. A total of 506 datasets were obtained in the questionnaire survey consisting of students of architecture. The survey was carried out during the hot-dry months of March, April and May 2019 using subjective questionnaires during which indoor environment variables were measured simultaneously in accordance with ASHRAE Standard 55 Class II protocols. A comfort temperature of 30.4°C was obtained using Griffith’s method, and the comfort band was found to be between 25.0°C to 32.5°C on the central sensation scale for 80% acceptability for the summer (hot-dry) season. Subjects showed greater tolerance and adaptation to warmer conditions with the main means of adaptation by opening windows, wearing lighter clothing, use of ceiling fans, drinking of cold water and use of curtain blinds. Comparison of the field study results with international standards shows that the standards failed to capture the comfort limits and adaptations of subjects in tropical climates of India. Findings of the present study bear significance in developing guidelines for thermal comfort for institutional buildings in the warm-to-moderate climate of India.
Plugging the Leaky Pipeline:A Qualitative Investigation of Untenured Female Faculty in STEM

The current study set out to highlight the voices and stories of 129 female-identifying assistant professors in Science, Technology, Engineering, and Mathematics (STEM) who responded to open-ended questions regarding their perceived barriers, supports, and experiences on their journey toward tenure. The current study utilized Consensual Qualitative Research-Modified (CQR-M; Spangler et al., 2012) for the methodology and data analysis, as the current study included a relatively large number of women and brief qualitative data. Responses fell into four domains: barriers, supports, needed resources, and miscellaneous responses. Additionally, responses were compared between women in STEM fields with higher percentages of female faculty versus STEM fields with lower percentages of female faculty, with results indicating that women in STEM fields with lower gender equality reported more gender discrimination, more difficult colleagues, and less institutional or administrative supports and policies. Future directions and clinical implications are discussed.
The Development of Blue Steel

Blue Steel is an air-surface missile carrying a thermonuclear warhead and intended to enable the V bombers to operate without going into areas in which they would be exposed to concentrated guided weapon attack. It has a canard configuration with small delta-shaped foreplanes for pitch control, a rear-mounted wing with inboard ailerons and a pair of fins of which the upper carries a yaw damper; the lower fin folds sideways to give sufficient ground clearance when the missile is installed on the aircraft (Fig. 1). Its exact performance cannot yet be stated but it is the largest of the British Missiles to get into Service.
Application of Feature Selection Based on Elastic Network and Random Forest in the Evaluation of Sports Effects

With the rapid development of data mining and machine-learning technology and the outbreak of big sports data mining development challenges, sports data mining cannot simply use data statistical methods such as how to combine machine learning and data mining technology for effective mining and analysis of sports data, to provide useful advice for public physical exercise, and this is an urgent need to study. It is a kind of efficient sports data mining study through the feature selection algorithm. Around the difficult problems existing in the study of sports effect, given the limitations of existing data sets and traditional research methods, this paper starts from the data mining algorithm, builds the sports effect evaluation database, based on feature selection idea, using elastic network algorithm, random forest algorithm, and the influence of sports on the effect of physical indicators. The evaluation algorithm introduces machine learning algorithm and feature selection algorithm to guide the sports effect evaluation research. When studying the evaluation problem of sports effect, according to the constructed sports effect evaluation database, elastic network algorithm is added to regularize, optimize, and realize feature selection. When selecting the characteristics of different sports ability, using information gains indicators to rank the importance of characteristics, which can scientifically and accurately obtain the influence degree of sports on different physical indicators, make the physical fitness research more scientific, and can reveal the effect of sports as far as possible. Experimental results show that the selected features and ground-truth have good accuracy, good evaluation performance, and high accuracy compared with the baseline method.
Angiogenesis, Lymphangiogenesis, and Inflammation in Chronic Obstructive Pulmonary Disease (COPD): Few Certainties and Many Outstanding Questions

Chronic obstructive pulmonary disease (COPD) is characterized by chronic inflammation, predominantly affecting the lung parenchyma and peripheral airways, that results in progressive and irreversible airflow obstruction. COPD development is promoted by persistent pulmonary inflammation in response to several stimuli (e.g., cigarette smoke, bacterial and viral infections, air pollution, etc.). Angiogenesis, the formation of new blood vessels, and lymphangiogenesis, the formation of new lymphatic vessels, are features of airway inflammation in COPD. There is compelling evidence that effector cells of inflammation (lung-resident macrophages and mast cells and infiltrating neutrophils, eosinophils, basophils, lymphocytes, etc.) are major sources of a vast array of angiogenic (e.g., vascular endothelial growth factor-A (VEGF-A), angiopoietins) and/or lymphangiogenic factors (VEGF-C, -D). Further, structural cells, including bronchial and alveolar epithelial cells, endothelial cells, fibroblasts/myofibroblasts, and airway smooth muscle cells, can contribute to inflammation and angiogenesis in COPD. Although there is evidence that alterations of angiogenesis and, to a lesser extent, lymphangiogenesis, are associated with COPD, there are still many unanswered questions.
Analysis of Huntington’s Disease Modifiers Using the Hyperbolic Mapping of the Protein Interaction Network

Huntington’s disease (HD) is caused by the production of a mutant huntingtin (HTT) with an abnormally long poly-glutamine (polyQ) tract, forming aggregates and inclusions in neurons. Previous work by us and others has shown that an increase or decrease in polyQ-triggered aggregates can be passive simply due to the interaction of proteins with the aggregates. To search for proteins with active (functional) effects, which might be more effective in finding therapies and mechanisms of HD, we selected among the proteins that interact with HTT a total of 49 pairs of proteins that, while being paralogous to each other (and thus expected to have similar passive interaction with HTT), are located in different regions of the protein interaction network (suggesting participation in different pathways or complexes). Three of these 49 pairs contained members with opposite effects on HD, according to the literature. The negative members of the three pairs, MID1, IKBKG, and IKBKB, interact with PPP2CA and TUBB, which are known negative factors in HD, as well as with HSP90AA1 and RPS3. The positive members of the three pairs interact with HSPA9. Our results provide potential HD modifiers of functional relevance and reveal the dynamic aspect of paralog evolution within the interaction network.
Solid Magnetoliposomes as Multi-Stimuli-Responsive Systems for Controlled Release of Doxorubicin: Assessment of Lipid Formulations

Stimuli-responsive liposomes are a class of nanocarriers whose drug release occurs, preferentially, when exposed to a specific biological environment, to an external stimulus, or both. This work is focused on the design of solid magnetoliposomes (SMLs) as lipid-based nanosystems aiming to obtain multi-stimuli-responsive vesicles for doxorubicin (DOX) controlled release in pathological areas under the action of thermal, magnetic, and pH stimuli. The effect of lipid combinations on structural, colloidal stability, and thermodynamic parameters were evaluated. The results confirmed the reproducibility for SMLs synthesis based on nine lipid formulations (combining DPPC, DSPC, CHEMS, DOPE and/or DSPE-PEG), with structural and colloidal properties suitable for biological applications. A loss of stability and thermosensitivity was observed for formulations containing dioleoylphosphatidylethanolamine (DOPE) lipid. SMLs PEGylation is an essential step to enhance both their long-term storage stability and stealth properties. DOX encapsulation (encapsulation efficiency ranging between 87% and 96%) in the bilayers lowered its pKa, which favors the displacement of DOX from the acyl chains to the surface when changing from alkaline to acidic pH. The release profiles demonstrated a preferential release at acidic pH, more pronounced under mimetic mild-hyperthermia conditions (42 °C). Release kinetics varied with the lipid formulation, generally demonstrating hyperthermia temperatures and acidic pH as determining factors in DOX release; PEGylation was shown to act as a diffusion barrier on the SMLs surface. The integrated assessment and characterization of SMLs allows tuning lipid formulations that best respond to the needs for specific controlled release profiles of stimuli-responsive nanosystems as a multi-functional approach to cancer targeting and therapy.
Framing the Black Lives Matter Movement: An Analysis of Shifting News Coverage in 2014 and 2020

The police killings of Breonna Taylor and George Floyd sparked a resurgence of Black Lives Matter protests throughout the summer of 2020, reminiscent of the wave of Black Lives Matter protests that occurred after several police killings in 2014 including the deaths of Michael Brown and Eric Garner. Based on qualitative analysis of mainstream media coverage of the protests, this paper examines key themes in the discourse surrounding the Black Lives Matter movement in 2014 and 2020. Our findings highlight the ways in which mainstream news sources situate the Black Lives Matter protests within a broader history of Black uprisings. We also emphasize the erasure of violence against Black women in mainstream media depictions of the BLM movement, as well as the erasure of Black women’s leadership in the movement.
An AI-Enabled Internet of Things Based Autism Care System for Improving Cognitive Ability of Children with Autism Spectrum Disorders

Smart monitoring and assisted living systems for cognitive health assessment play a central role in assessment of individuals' health conditions. Autistic children suffer from some difficulties including social skills, repetitive behaviors, speech and nonverbal communication, and accommodating to the environment around them. Thus, dealing with autistic children is a serious public health problem as it is hard to determine what they feel with a lack of emotional cognitive ability. Currently, no medical treatments have been shown to cure autistic children, with most of the social assistive research to date focusing on Autism Spectrum Disorder (ASD) without suggesting a real treatment. In this paper, we focus on improving cognitive ability and daily living skills and maximizing the ability of the autistic child to function and participate positively in the community. Through utilizing intelligent systems based Artificial Intelligence (AI) and Internet of Things (IoT) technologies, we facilitate the process of adaptation to the world around the autistic children. To this end, we propose an AI-enabled IoT system embodied in a sensor for measuring the heart rate to predict the state of the child and then sending the state to the guardian with feeling and expected behavior of the child via a mobile application. Further, the system can provide a new virtual environment to help the child to be capable of improving eye contact with other people. This way is represented in pictures of these persons in 3D models that break this child's fear barrier. The system follows strategies that have focused on social communication skill development particularly at young ages to be more interactive with others.
In Silico Analysis of Seven PCR Markers Developed from the CHD1, NIPBL and SPIN Genes Followed by Laboratory Testing Shows How to Reliably Determine the Sex of Musophagiformes Species

Sex determination in birds, due to the very common lack of sexual dimorphism, is challenging. Therefore, molecular sexing is often the only reliable way to differentiate between the sexes. However, for many bird species, very few genetic markers are available to accurately, quickly, and cost-effectively type sex. Therefore, in our study, using 14 species belonging to the order Musophagiformes, we tested the usefulness of seven PCR markers (three of which have never been used to determine the sex of turacos), developed based on the CHD1, NIPBL, and SPIN genes, to validate existing and develop new strategies/methods of sex determination. After in silico analysis, for which we used the three turaco nuclear genomes available in GenBank, the suitability of the seven selected markers for sexing turacos was tested in the laboratory. It turned out that the best of the markers tested was the 17th intron in the NIPBL gene (not previously tested in turacos), allowing reliable sex determination in 13 of the 14 species tested. For the one species not sexed by this marker, the 9th intron in the CHD1 gene proved to be effective. The remaining markers were of little (4 markers developed based on the CHD1 gene) or no use (marker developed based on the SPIN gene).
Use of Queueing Theory to organization of the complex rice harvest-transport on the Agroindustrial Rice Complex "Los Palacios" Uso de la Teoría de Colas para la organización del complejo cosecha-transporte del arroz en el Complejo Agroindustrial Arrocero "Los Palacios"

The present research was carried out on the Agroindustrial Rice Complex "Los Palacios", on Pinar del Rio province. The in- vestigation had as main goal the study of the means stop probabilities, on the base of stochastic process, considering economical features that appear during the work of the complex rice harvest-transport with the harvester machine New Holland TC-57 and the joint tractor New Hol- land TS-6020 with trailers RA-6, looking for its rational organization. For the solution of this problem was used the Queueing Theory, taking the economical criteria of itsoptimization the minimum added expenses in one hour by harvester machines and means of transport stops in service, besides it is determined the quantity means of transport for a harvester brigade under probabilistic basis.