Miracle-dz/UniFAR-FTUs huggingface dataset:
Detection of generated free radicals, lipid peroxidation and some trace elements status in Egyptian patients with chronic hepatitis C.

Hepatitis C virus (HCV) is the etiological agent accounting for chronic liver disease in approximately 2–3% of the population worldwide. In Egypt, HCV infection has become one of the national health problems. The aim of the suggested study was to investigate if any correlation ex-ists between total free radicals generated in chronic hepatitis C patients and some trace elements in blood and urine. The study included 104 subjects, 22 healthy controls and 82 CHC patients grouped as follows: Gr I (control group), Gr II [compensated chronic liver disease (without cir-rhosis)], Gr III [decompensated liver cirrhosis (with cirrhosis)] and Gr IV [(hepatocellular failure (end stage liver disease)]. Correlations of total free radicals and malondialdehyde (MDA) with other trace elements were studied in different groups. Blood and urinary trace elements concentrations varied among the different stages of HCV patients studied groups. The correlation coefficient between the different variables independently changed. Results of the present study revealed that total free radicals, MDA, blood copper (Cu), urinary zinc (Zn) as well as the total calcium (Ca) and ionized calcium (iCa) concentrations were significantly increased in all CHC patients groups, while blood Zinc (Zn) and selenium (Se) concentrations were significantly decreased in all CHC patients groups compared to those of control group. Low Caloric Cake, Total Phenolic Antioxidant, Physical Properties, Properties. J. Nucl. Tech. Appl. Sci, Vol. 6, No. 1, PP. 15 : 32 (2018) The present study aims to improve the antioxidant and antimicrobial properties of cake and produce low calorie cake through substitution of wheat flour (WF) by irradiated broccoli ( Brassica oleracea L.var italica ) powder. In this study broccoli heads powder and broccoli leaves pow der were gamma irradiated at dose levels of 0, 3, 5 and 7 kGy. Results showed that ethanolic (70%) extract of irradiated broccoli heads powder (IBHP) and irradiated broccoli leaves powder (IBLP) at a dose level of 5 kGy had higher total phenolic compounds (TPC) and The urinary cupper (Cu) concentration was significantly elevated only in Gr II . Gr III and Gr IV showed significant low values of blood iron (Fe). Conclusion: blood and urinary trace elements profile was suggested to be a good indicator for assess ing liver damage in chronic HCV patients. Oxidative stress with subsequent increase or decrease in blood and urinary trace elements in hepatitis C infected individuals could happen at various stages of liver damage causing impairment in the levels of measured trace elements. The correlation between trace elements and either total free radicals or MDA showed different pattern according to the stage of the disease.
IEEE Transactions on Very Large Scale Integration (VLSI) Systems

The IEEE TRANSACTIONS ON VERY LARGE SCALE INTEGRATION (VLSI) SYSTEMS is published as a monthly journal under the co-sponsorship of the IEEE Circuits and Systems Society, the IEEE Computer Society, and the IEEE Solid-State Circuits Society. All members of the IEEE are eligible for membership in all three societies upon payment of membership fee. For membership and subscription information and pricing, please visit www.ieee. org/membership-catalog.
Attentive Sequence-to-Sequence Modeling of Stroke Gestures Articulation Performance

Production time of stroke gestures is a fundamental measure of user performance with graphical user interfaces. However, production time represents an overall quantification of the user's gesture articulation process and therefore provides an incomplete picture of such process. Moreover, previous approaches assumed stroke gestures as synchronous point sequences, when most gesture-driven applications have to deal with asynchronous point sequences. Furthermore, deep generative models of human handwriting ignore the temporal information, thereby missing a key component of the user's gesture articulation process. To solve these issues, we introduce Ditto, a sequence-to-sequence deep learning model that estimates the velocity profile of any stroke gesture using spatial information only, providing thus a fine-grained estimation of the moment-by-moment behavior of the user's articulation performance. We show that this unique capability makes Ditto remarkably accurate while handling gestures of any type: unistrokes, multistrokes, and multitouch gestures. Our model, code, and associated web application are available as open source software.
Ixora coccinea petal shaped high gain miniaturized massive multiple input multiple output antenna element for a long term evaluation/fifth generation macro cell communications

Nature inspired high gain ±45dual polarized Ixora coccinea petal shaped massive multiple input multiple output antenna element is designed and developed with special feeding mechanism operating for 3rd Generation Partnership Project long term evaluation‐time division duplexing mode for (2496–2690 MHz) and Sub‐6 GHz of 5G Band 42 (3.4–3.6 GHz)/Band 43 (3.6–3.8 GHz) for macro cell communications are explored. Dual slant polarization is achieved by orienting two such petal shaped dipole antennas in ±45°. To validate the proposed antenna, the prototype is manufactured and measured. The antenna provides the bandwidth of 41.26% (2.5 to 3.8 GHz) with S11 < −15 dB, and port‐to‐port isolation>40 dB. Simultaneous operation of 4G and 5G with unidirectional stable radiation is achieved with broad‐beam width of 73° ± 1.5° in the ±45° planes and gain varies from 10 to 11 dBi over the operating band. Due to its full planar structure the proposed antenna is easy to be fabricated.
Cascading Effects of Extreme Geohazards on Tenerife (Canary Islands)

Extreme geohazards (volcanic eruptions, earthquakes, landslides, and tsunamis) have the potential to inflict cascading effects whose associated risks are difficult to predict and prepare for. Thus, these events are generally not taken into account in hazard assessment. Anticipating the occurrence of such extreme events is thus key if our life‐styles are to remain safe and sustainable. Volcanic islands are often the source of complex successions of disastrous events, as is evident from any examination, for instance, of the geological record of regions such as Hawaii, the Canary Islands, Reunion and Indonesia. The island of Tenerife in the Canary Archipelago is an excellent example of where cascading extreme hazards have occurred several times in the past and could occur again in the future. A cascading sequence involving a caldera‐forming eruption, high‐magnitude seismicity, mega‐landslides and tsunamis occurred at least twice during the construction of this island. In order to understand the possible consequences of such processes if they were to reoccur, we simulated the extent and potential impact of a multiple, extreme geohazard episode similar to the last recorded one that took place on the island of Tenerife around 180 ka. The implications of such a disastrous succession of events are analyzed at local, regional and global scales, and the results obtained are discussed within the framework of disaster risk‐reduction policies.
Health risk analysis and risk management in the logistic-production chain as factors influencing the quality and safety of food on the example of two food companies

The aim of this study was to identify risks in the quality and safety of food, and to indicate, basing on a risk analysis, the ways of managing potential risks in two different production profile enterprises of the food industry. It was found that potential hazards to the quality and safety for technological process as well as for the other links of the logistics chain were identified, and prevention procedures were established to minimize or completely eliminate these hazards. Moreover, the benefits of risk management were similar, and mainly felt in the constant increase of food producers’ awareness of the necessity of safe food production and increase of concern for the health and life of consumers. This in turn contributes to: Health risk analysis and risk management in the logistic-production. 59 • development of staff competence, • improvement of logistic processes to better protect against external factors, unauthorized persons and side effects, • investments and implementation of new organisational solutions in warehouses and production areas.
Assessment of Scratch Programming Language as a Didactic Tool to Teach Functions

The objective of this research is to study the Scratch programming language as a didactic tool to teach functions. The introduction of didactic tools allowing comprehension in simple and attractive ways is required. Given the traditional teaching/learning system, it is necessary to organize participatory and collaborative dynamic classrooms, which allow the interaction of students in activities where the educator modifies his or her traditional role as an advisor and the students take a more active role in learning through their own effort. In this sense, three activities using the Scratch programming language are proposed: the first one refers to the linear and affine functions, while the second one deals with the quadratic function and the third one is related to the exponential function. The participants in this study were 30 future teachers. The study considers the combination of magisterial lessons and active didactic methodologies as demonstration method, cooperative learning and gamification, also including the applied assessment. The activities, methodologies and assessment were evaluated by the participants with results higher than 4 in 5-point Likert scale for all cases, preferring the active methodologies than magisterial lessons.
Acoustic characteristics of interacting air-guns in marine seismic exploration

There is still no exact theoretical description of the conditions for the coalescence of pulsating air bubbles in a liquid, based on complete (non-linearized) equations of hydrodynamics. A satisfactory mathematical model describing the mutual interaction of air-guns forming an array should be tailored to the dynamics of pulse chambers. The paper considers the interaction of air bubbles pulsating in a liquid resulting from an exhaust of compressed air during the operation of air-gun array used in a marine environment, as well as its effect on the acoustic characteristics of radiated pulses. The results of model calculations compared with experimental signals show that the resultant model describes quite adequately a sophisticated mutual effect of air-guns and can be used for practical purposes to calculate the configurations of air-gun arrays and the total pulses they cause.
Ecological impact of biotic factors on the natural ecosystem during agricultural cultivation of Lonicera caerulea in Central Russia

The aim of the study is to search for the influence of biotic factors in the agrocenosis with edible honeysuckle (Lonicera caerulea L.) on the state of forest woody plants in natural phytocenosis. A nursery of the N.V. Tsitsin Main Botanical Garden of the Russian Academy of Sciences (Moscow) and natural biocenoses, including coniferous and deciduous trees, was a place of research in the regions of Central Russia in the period of 2005-2020. More than 50 phytophages and phytopathogens on edible honeysuckle plants in the monitoring process were noted. Complex biotic relationships with numerous trophic connections are formed between the agrocenosis and the natural ecological system was revealed. The polyphages Lepidosaphes ulmi L. , Parthenolecanium corni Bouche, Chionaspis salicis L. , Phenacoccus aceris Bouche, and Tetranychus urticae Koch are especially active in this system, creating environmental problems of various levels. It is noted that nonspecific phytopathogens are dangerous for artificial and natural cenoses, especially Neonectria ditissima (Tul. & C. Tul.) Samuels & Rossman, Nectria cinnabarina (Tode) Fr. , Phellinus conchatus (Pers.) Quél. , and Fumago vagans Pers. that formed food chains with weakened plants. The rules of plant care and protection are necessary to follow to preserve natural populations and obtain a good harvest in berry nurseries.
Electroencephalogram Emotion Recognition Based on 3D Feature Fusion and Convolutional Autoencoder

As one of the key technologies of emotion computing, emotion recognition has received great attention. Electroencephalogram (EEG) signals are spontaneous and difficult to camouflage, so they are used for emotion recognition in academic and industrial circles. In order to overcome the disadvantage that traditional machine learning based emotion recognition technology relies too much on a manual feature extraction, we propose an EEG emotion recognition algorithm based on 3D feature fusion and convolutional autoencoder (CAE). First, the differential entropy (DE) features of different frequency bands of EEG signals are fused to construct the 3D features of EEG signals, which retain the spatial information between channels. Then, the constructed 3D features are input into the CAE constructed in this paper for emotion recognition. In this paper, many experiments are carried out on the open DEAP dataset, and the recognition accuracy of valence and arousal dimensions are 89.49 and 90.76%, respectively. Therefore, the proposed method is suitable for emotion recognition tasks.
Retinal Vein Changes as a Biomarker to Guide Diagnosis and Management of Elevated Intracranial Pressure

Retinal vein changes, which can be observed on clinical exam or ophthalmic imaging, are promising non-invasive biomarkers for elevated intracranial pressure (ICP) as a complement to other markers of high ICP including optic nerve head swelling. Animal and human studies have demonstrated increase in retinal vein pressure associated with elevated ICP mediated by increase in cerebral venous pressure, compression of venous outflow by elevated cerebral spinal fluid pressure in the optic nerve sheath, and compression of venous outflow by optic nerve head swelling. Retinal vein pressure can be estimated using ophthalmodynamometry. Correlates of retinal vein pressure include spontaneous retinal venous pulsations, retinal vein diameter, and retinal vein tortuosity. All of these have potential for clinical use to diagnose and monitor elevated ICP. Challenges include diagnostic prediction based on single clinical measurements and accurate assessment of retinal vein parameters in cases where optic nerve head swelling limits visualization of the retinal veins.
The Effect of Ease of Use, Usefulness, Trust, Self-efficacy, and Security on Adoption Technology

: This study aims to determine the effect of perceived ease of use, usefulness, trust, self-efficacy, and security towards the decision to use e-payment, namely GO-PAY. This study uses 200 respondents. Data collection techniques using purposive sampling. The data analysis tool used is structural equation modeling (SEM). The results of this study indicate that the hypotheses proposed are not all supported. Perceived ease does not influence trust. Other hypotheses proposed are supported. That is, the adoption model GOPAY in this study is influenced by perceptions of usefulness, self-efficacy, trust, and security.
Mitochondrial Phospholipid Homeostasis Is Regulated by the i-AAA Protease PaIAP and Affects Organismic Aging

Mitochondria are ubiquitous organelles of eukaryotic organisms with a number of essential functions, including synthesis of iron-sulfur clusters, amino acids, lipids, and adenosine triphosphate (ATP). During aging of the fungal aging model Podospora anserina, the inner mitochondrial membrane (IMM) undergoes prominent morphological alterations, ultimately resulting in functional impairments. Since phospholipids (PLs) are key components of biological membranes, maintenance of membrane plasticity and integrity via regulation of PL biosynthesis is indispensable. Here, we report results from a lipidomic analysis of isolated mitochondria from P. anserina that revealed an age-related reorganization of the mitochondrial PL profile and the involvement of the i-AAA protease PaIAP in proteolytic regulation of PL metabolism. The absence of PaIAP enhances biosynthesis of characteristic mitochondrial PLs, leads to significant alterations in the acyl composition of the mitochondrial signature PL cardiolipin (CL), and induces mitophagy. These alterations presumably cause the lifespan increase of the PaIap deletion mutant under standard growth conditions. However, PaIAP is required at elevated temperatures and for degradation of superfluous CL synthase PaCRD1 during glycolytic growth. Overall, our study uncovers a prominent role of PaIAP in the regulation of PL homeostasis in order to adapt membrane plasticity to fluctuating environmental conditions as they occur in nature.
Applications of TLS and ALS in Evaluating Forest Ecosystem Services: A Southern Carpathians Case Study

Forests play an important role in biodiversity conservation, being one of the main providers of ecosystem services, according to the Economics of Ecosystems and Biodiversity. The functions and ecosystem services provided by forests are various concerning the natural capital and the socio-economic systems. Past decades of remote-sensing advances make it possible to address a large set of variables, including both biophysical parameters and ecological indicators, that characterize forest ecosystems and their capacity to supply services. This research aims to identify and implement existing methods that can be used for evaluating ecosystem services by employing airborne and terrestrial stationary laser scanning on plots from the Southern Carpathian mountains. Moreover, this paper discusses the adaptation of field-based approaches for evaluating ecological indicators to automated processing techniques based on airborne and terrestrial stationary laser scanning (ALS and TLS). Forest ecosystem functions, such as provisioning, regulation, and support, and the overall forest condition were assessed through the measurement and analysis of stand-based biomass characteristics (e.g., trees’ heights, wood volume), horizontal structure indices (e.g., canopy cover), and recruitment-mortality processes as well as overall health status assessment (e.g., dead trees identification, deadwood volume). The paper, through the implementation of the above-mentioned analyses, facilitates the development of a complex multi-source monitoring approach as a potential solution for assessing ecosystem services provided by the forest, as well as a basis for further monetization approaches.
Effect of agricultural diversification on dietary diversity in rural households with children under 5 years of age in Zambia

Abstract Micronutrient deficiencies in low‐income countries are associated with the monotonous consumption of nutrient‐deficient crops, contributing to childhood stunting with far‐reaching socioeconomic consequences. To promote nutrition sensitive agriculture, policy makers in such countries have embarked on policy initiatives that encourage agricultural diversification in smallholder farming systems. This paper investigates the link between agricultural diversification and two key indicators of food and nutrition security among children under 5 years in rural Zambia. Data from the 2015 Rural Agricultural Livelihoods Survey and regression models are used to explain household dietary diversity and months of inadequate household food provisioning among 7934 households. Factors associated with the key outcome variables include land cultivated, household size, total livestock units, household head education, households receiving extension information, and use of productivity‐enhancing inputs such as fertilizers. Although the results demonstrate that agricultural diversification is positively associated with the household dietary diversity score, the relationship is not statistically significant. Further, the study findings illustrate that agricultural diversity is negatively associated with months of inadequate household food provisioning but that this relationship is also not statistically significant. The implication for policy is that other interventions such as productivity enhancement and behavioral change communication need to be scaled up.
Recognizing VSC DC Cable Fault Types Using Bayesian Functional Data Depth

Diagnostics of power and energy systems is obviously an important matter. In this paper we present a contribution of using new methodology for the purpose of signal type recognition (for example, faulty/healthy or different types of faults). Our approach uses Bayesian functional data analysis with data depths distributions to detect differing signals. We present our approach for discrimination of pole-to-pole and pole-to-ground short circuits in VSC DC cables. We provide a detailed case study with Monte Carlo analysis. Our results show potential for applications in diagnostics under uncertainty.
Confronting Oppression: Reframing Need and Advancing Responsivity for LGBTQ+ Youth and Young Adults

Abstract Research in juvenile and criminal justice concerning how to assess and target interventions to LGBTQ+ youth and young adults is insufficient. With the proliferation of the Risk-Need-Responsivity Model (RNR), risk/need assessment tools have become evidence-based practice providing guidance to determining risk, identifying need, and the importance of targeting interventions to advance prosocial behavior. Critics have noted that during implementation of the RNR Model, the focus is too often on the risk principle at the expense of the need and responsivity principles. This study provides evidence from an intensive case study, and process evaluation of the Lambert House: LGBTQ+ Youth Community Center, that responsivity needs to be prominent when serving LGBTQ+ youth and young adults. Based on an analysis of 60 semi-structured interviews with program participants, staff, and community advocates, we argue that risk/need assessment tools driven by the RNR model be inclusive and responsive to LGBTQ+ youth and young adults.