Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation on the Effect of EEG Pre-processing and Hyper parameters Tuning to the Performance of Convolutional Neural Network Motor Execution Classification

Received Sep 20, 2021 Revised Nov 13, 2021 Accepted Nov 22, 2021 Electroencephalogram (EEG) based classification has achieved a promising performance using deep learning models like Convolutional Neural Network. Various pre-processing strategies such as smoothing the EEG data or filtering are commonly used to pre-process the captured EEG signal before the subsequent feature extraction and classification while hyperparameters tuning might help to improve the classification performance. As well, the number of layers used in the CNN can affect the performance of the classification. In this paper, the number of layers needed for the CNN to classify the EEG data correctly, the effect of apply smoothing to pre-process the EEG signal for modern end-to-end CNN and the effect of enabling hyperparameters tuning during the training phase of CNN is investigated and analyzed. Two CNN models, namely Deep CNN with 5 layers and Shallow CNN with 1 layer, with convincing classification accuracy on motor execution classification as reported in the literature were chosen for this study. Both the CNN models are trained on EEG motor execution dataset with different training strategies and dataset pre-processing. Based on the obtained training and test classification accuracy, Shallow CNN trained with enabling hyper parameters tuning and without smoothing the EEG data achieved the best classification accuracy with average training accuracy of 99.9% and test accuracy of 96.87%. This indicates that CNN does not need to have many layers to correctly classify the motor execution data and the EEG data does not require smoothing.
ECONOMIC DISCOURSE AS A TYPE OF INSTITUTIONAL DISCOURSE

The research deals with the study of the English language economic discourse and its basic characteristics. The object of the article is discourse in general and the main approaches to its interpretation. The subject of the investigation is the English economic discourse as one of its institutional types. The aim of the research is to highlight the main linguistic characteristics of the English economic discourse. Economic discourse is defined as a type of discourse, in which the process of speech production based on certain economic ideas. Each of the texts of discourse creates a special field of discussion in relation to economy, and the texts within this discourse are aimed at the communication between the experts in the field which determines the institutionality of the communication. Thus, economic discourse is a complex communicative phenomenon implemented in the speech practice of subjects of economic activity. The characteristic features of the economic discourse are strict visual design, minimum usage of tropes and figures of speech, the use of persuasive devices, neologisms, idioms and numerous abbreviations used with the aim of compressing the transmitted knowledge. Neologisms, idioms and abbreviations that function in English economic discourse present special difficulties for translators. Therefore the perspective of the further research is seen in the study of translation techniques in reproducing various lexical, grammatical and syntactical features of the English economic discourse into the Ukrainian language.
Zinc Oxide Synthesis from Extreme Ratios of Zinc Acetate and Zinc Nitrate: Synergistic Morphology

The synthesis of ZnO comprising different ratios of zinc acetate (ZA) and zinc nitrate (ZN) from the respective zinc precursor solutions was successfully completed via a simple precipitation method. Zinc oxide powders with different mole ratios of ZA/ZN were produced—80/1, 40/1, and 20/1. The crystallinity, microstructure, and optical properties of all produced ZnO powders were characterized using X-ray diffraction (XRD), scanning electron microscopy (SEM), and UV-Vis-NIR spectrophotometry. The average agglomerated particle sizes of ZnO-80/1, ZnO-40/1, and ZnO-20/1 were measured at 655, 640, and 620 nm, respectively, using dynamic light scattering (DLS). The optical properties of ZnO were significantly affected by the extreme ratio differences in the zinc precursors. ZnO-80/1 was found to have a unique coral-sheet structure morphology, which resulted in its superior ability to reflect near-infrared (NIR) radiation compared to ZnO-40/1 and ZnO-20/1. The NIR-shielding performances of ZnO were assessed using a thermal insulation test, where coating with ZnO-80/1 could lower the inner temperature by 5.2 °C compared with the neat glass substrate. Due to the synergistic effects on morphology, ZnO-80/1 exhibited the property of enhanced NIR shielding in curtailing the internal building temperature, which allows for its utilization as an NIR-reflective pigment coating in the construction of building envelopes.
Chronic Alcohol Exposure Alters Gene Expression and Neurodegeneration Pathways in the Brain of Adult Mice.

BACKGROUND Chronic alcohol consumption can alter the structure of the central nervous system and disrupt cognitive function. Alcoholics are more likely to develop neurodegenerative disorders such as Alzheimer's disease (AD) and Parkinson's disease (PD). However, the role of alcohol in promoting neurotoxicity and neurodegeneration remains unclear. OBJECTIVE In this study, we aimed at estimating the effects of chronic binge alcohol exposure on brain transcriptome and behavior changes in a chronic "Drinking in the Dark" (DID) mouse model. METHODS The adult C57BL/6J male mice were exposed to alcohol for 4 weeks. RNA-seq was applied to assess the effects of chronic alcohol exposure on transcriptome in brain. The open field test and novel object recognition test were used to assess the changes of anxiety level, locomotive function, and short-term memory induced by alcohol. RNA-seq analysis revealed that chronic alcohol exposure caused significant change in the brain transcriptome, especially in prefrontal cortex. RESULTS The gene dysregulation caused by chronic alcohol exposure includes pathways related to mitochondrial energy metabolism (such as oxidative phosphorylation) and multiple neurodegenerative diseases (such as AD and PD). Furthermore, the pathway and network analyses suggest that the genes involved in mitochondrial energy metabolism, ubiquitin-proteasome system, Wnt signaling pathway, and microtubules may attribute to the neurotoxicity and neurodegeneration caused by chronic alcohol consumption. Additionally, locomotive function was also significantly impaired. CONCLUSION This work provides gene transcriptional profile data for future research on alcohol-induced neurodegenerative diseases, especially AD and PD.
NGF Enhances CGRP Release Evoked by Capsaicin from Rat Trigeminal Neurons: Differential Inhibition by SNAP-25-Cleaving Proteases

Nerve growth factor (NGF) is known to intensify pain in various ways, so perturbing pertinent effects without negating its essential influences on neuronal functions could help the search for much-needed analgesics. Towards this goal, cultured neurons from neonatal rat trigeminal ganglia—a locus for craniofacial sensory nerves—were used to examine how NGF affects the Ca2+-dependent release of a pain mediator, calcitonin gene-related peptide (CGRP), that is triggered by activating a key signal transducer, transient receptor potential vanilloid 1 (TRPV1) with capsaicin (CAP). Measurements utilised neurons fed with or deprived of NGF for 2 days. Acute re-introduction of NGF induced Ca2+-dependent CGRP exocytosis that was inhibited by botulinum neurotoxin type A (BoNT/A) or a chimera of/E and/A (/EA), which truncated SNAP-25 (synaptosomal-associated protein with Mr = 25 k) at distinct sites. NGF additionally caused a Ca2+-independent enhancement of the neuropeptide release evoked by low concentrations (<100 nM) of CAP, but only marginally increased the peak response to ≥100 nM. Notably, BoNT/A inhibited CGRP exocytosis evoked by low but not high CAP concentrations, whereas/EA effectively reduced responses up to 1 µM CAP and inhibited to a greater extent its enhancement by NGF. In addition to establishing that sensitisation of sensory neurons to CAP by NGF is dependent on SNARE-mediated membrane fusion, insights were gleaned into the differential ability of two regions in the C-terminus of SNAP-25 (181–197 and 198–206) to support CAP-evoked Ca2+-dependent exocytosis at different intensities of stimulation.
Is Circulating DNA and Tumor Cells in Myeloma the Way Forward?

Multiple myeloma (MM) is the second deadliest hematological cancer. Despite the enormous innovation on MM treatment in the last decades, still 48% of patients die within 5 years after diagnosis. MM diagnosis and therapeutic strategy mainly rely on direct bone marrow (BM) assessment. Given the MM heterogeneity, BM biopsies do not accurately reflect the whole disease status, hampering accurate disease prognosis. Moreover, biopsies are painful and invasive procedures, highlighting the need for non-invasive and more accurate source of biomarkers. Liquid biopsies are promising sources of biomarkers that may overcome these limitations. Peripheral blood carries circulating myeloma components that are being extensively explored since the last few years as an alternative to BM aspirates. These include circulating tumor cells (CTC), cell-free DNA (cfDNA), and extracellular vesicles containing miRNA and proteins. The current review summarizes scientific evidence establishing BM as a gold standard for the diagnosis, prognosis, and evaluation of minimal residual disease. We discuss the last advances regarding cfDNA and CTC biomarkers from peripheral blood in patients with MM as well as the statistical validations. This paper addresses the technological hurdles associated with liquid biopsies and examines the missing steps for their inclusion into the clinical practice.
Modification Model of Soil Fertility Evaluation FAO-UNESCO on the Slopes of Merapi Volcano, Indonesia

One of the mountains known as active volcanoes in the world was Merapi volcano. From the very active impact of Merapi activity, there was a continuous addition of volcanic material associated with soil fertility, which can be evaluated using the Soil Fertility Evaluation (SFE) system. This study aims to obtain a more adaptive SFE system to the southern slopes of Merapi volcano by modifying the FAO- UNESCO version of SFE system that still uses linear equations. In this research used system of quadratic equation, use of natural logarithm (ln), and modification of new parameter. From the evaluation of soil fertility is then connected with the production component of paddy rice (dry grains crop). There were several indicators that used to see the quality of the model or test the goodness of fit of the model we make, for example from its R2. In this study the quality of a model was seen from: Akaike Info Criterion (AIC) and Schwarz Criterion (SC), and the data was done by using EViews 9. The results showed the parameters that influence big in the model can be seen from the correlation and influence the parameters in single. Quadratic equations can improve the quality of a model over a linear equation. The standard SFE model which is modified by using the nat
Performance Measurement System for Assessing Transportation Sustainability and Community Livability

Sustainability and livability as concepts that indicate the capability of transportation systems to maintain social well-being have been widely accepted as critical principles to improve the quality of life and health in communities. This study introduced a geographic information system as the basis for a performance measurement system to assess the two goals from the standpoint of transportation systems. The city of Buffalo, New York, was used as the case study. Various data were collected, and 20 sustainability and livability related performance measures (PMs), including transportation attributes, land use measures, living condition indicators, and systemwide indexes, were developed. Analysis of the PMs raised several policy implications and led to some suggestions. Lessons and challenges from the PM development process are summarized to help other relevant initiatives. The PMs, the supporting database, the case study, and the findings produced by the research are expected to help a wide range of stakeholders, including policy makers, planners, and transportation engineers, to gain more insights into transportation-oriented sustainability and livability performance measurement.
MANAGEMENT OF HERPES LABIALIS TRIGGERED BY STRESS

Introduction : Herpes Labialis is the most common form of orofacial herpes, beginning with a feeling of vesicle formation at the vermilion margin of the lips and the surrounding area within 24 hours and then rupture, superficial erosion occurs which is then covered with crusts. Herpes labialis occurs in 50-75% of individuals exposed to HSV-1 infection in the oral cavity and often has a recurrence followed by prodromal symptoms. Reactivation can occur due to triggers in the form of decreased immune conditions due to weather changes, fever, sun exposure, emotional stress, trauma, menstruation, systemic diseases, allergies, and immunosuppression. Case: 22 years old female with a complaint of a wound on the angular lip, initially the patient had a fever for 2 days then a fluid-filled blister appeared which then rupture. Case Treatment: The diagnosis is made using anamnesis, clinical and supporting examination. CBC and Antybody Titer HSV-1 show value under normal for eosinophil and reactive for IgG HSV-1 established. Patient take medicine topical antiinflammation 3 time a day and multivitamins 1 time a day. Discussion: HSV-1 infektion is latent and can reaktivation. Under Stress Condition can caused a reduced circulating population of immune cells such as IL-6, TNFα, Lymphocites B, NK cell, dan Monocytes which HSV-1 Reactivation. Conclucion: Management in case can be successful if the clinician understand HSV-1 Infection Manifestation and added Suporting Examination. In Addition, cooperation from the patien is needed to manage stress so that the disease no more recurrence.
Interactions of Linearly Polarized and Unpolarized Light on Kiwifruit Using Aquaphotomics

Near infrared (NIR) spectroscopy is an important tool for predicting the internal qualities of fruits. Using aquaphotomics, spectral changes between linearly polarized and unpolarized light were assessed on 200 commercially grown yellow-fleshed kiwifruit (Actinidia chinensis var. chinensis ‘Zesy002’). Measurements were performed on different configurations of unpeeled (intact) and peeled (cut) kiwifruit using a commercial handheld NIR instrument. Absorbance after applying standard normal variate (SNV) and second derivative Savitzky–Golay filters produced different spectral features for all configurations. An aquagram depicting all configurations suggests that linearly polarized light activated more free water states and unpolarized light activated more bound water states. At depth (≥1 mm), after several scattering events, all radiation is expected to be fully depolarized and interactions for incident polarized or unpolarized light will be similar, so any observed differences are attributable to the surface layers of the fruit. Aquagrams generated in terms of the fruit soluble solids content (SSC) were similar for all configurations, suggesting the SSC in fruit is not a contributing factor here.
Map-Based Navigation of an Autonomous Car Using Grid-Based Scan-to-Map Matching

This paper presents the map-based navigation of a car with autonomous capabilities using grid-based scan-to-map matching. The autonomous car used for demonstration is built based on Toyota Prius and can control the throttle, the brake and the steering by a computer. The proposed grid-based scan-to-map matching method represents a map with a finite number of grid cells, represents a scan and the map with scan points at each grid as normal distributions (NDs) and constructs a map by matching the scan NDs to the map NDs. The proposed method enables scan-based mapping at high speed while maintaining high accuracy. The representation of a grid cell of a map in terms of multiple NDs further enhances speed and accuracy. The accuracy analysis of the proposed method shows that a small robot with a wheel diameter of 8cm had yielded no loop closure error after the travel of 186m while the terminal position error by the GMapping was approximately 1m with the error growth of 1%. The application of the proposed method with the autonomous car has then demonstrated the ability of the proposed method for autonomous driving with varying and high speed and has also quantified the significance of speed for successful mapping in autonomous driving.Copyright © 2015 by ASME
Electrophysiological Biomarkers for the Assessment of Motor Efficiency in Sport

Many disciplines have approached the study of human motor behavior. The motor learning theory based on information processing proposes a learning loop through interaction between the external environment and the central nervous system. Different neuroscience fields and technological advances provide a new perspective for the intensive study of the intrinsic processes of motor behavior, which modify the most visible aspect: motor efficiency. The aim of the present review was to determine which cortical and muscular electrophysiological biomarkers available in the literature could be representative for the study and quantification of motor efficiency. In this review, a survey of the literature related to motor production has been performed. The continuous development of biological signal monitoring techniques has allowed to understand part of the communication methods of the central nervous system, the integration of neural networks, and the interaction between different anatomic structures through rhythmic patterns of discharge known as brain waves. Motor production has been characterized by detecting electrophysiological biomarkers, taking into account the connectivity that can be represented by the corticomuscular and intermuscular coherence indices in different frequency bands. The present work proposes an approach to use these biomarkers on beta-band (for muscle stability synergies) and gamma-band (for mobility synergies). These indices will allow establishing quantitative parameters for motor efficiency, which could improve the precision of sports assessment.
Understanding Rhinovirus Circulation and Impact on Illness

Rhinoviruses (RVs) have been reported as one of the main viral causes for severe respiratory illnesses that may require hospitalization, competing with the burden of other respiratory viruses such as influenza and RSV in terms of severity, economic cost, and resource utilization. With three species and 169 subtypes, RV presents the greatest diversity within the Enterovirus genus, and despite the efforts of the research community to identify clinically relevant subtypes to target therapeutic strategies, the role of species and subtype in the clinical outcomes of RV infection remains unclear. This review aims to collect and organize data relevant to RV illness in order to find patterns and links with species and/or subtype, with a specific focus on species and subtype diversity in clinical studies typing of respiratory samples.
Laboratory Scale Study for Treatment of Waste Water Using Activated Sludge Process

A study was conducted to evaluate the feasibility of Activated Sludge Process (ASP) for the treatment of synthetic wastewater and to develop a simple design criteria under local conditions 1 . A bench scale model comprising of an aeration tank and final clarifier was used for this purpose. The model was operated continuously for 210 days. Settled synthetic wastewater was used as influent to the aeration tank. Chemical Oxygen Demand (COD) of the influent and effluent were measured to find process efficiency at various mixed liquor volatile suspended solids (MLVSS) and hydraulic detention time (θ) 2,3 . The results of the study demonstrated that an efficiency of above 90% for COD could be obtained if the ASP is operated at an MLVSS concentration of 3000 mg/l keeping an aeration time (θ) of 1 hour.
Application of Autonomous Agent Modeling in Naval Tactical Simulation

Multi-Agent System is a research area where (distributed) artificial intelligence and distributed computing overlap,and an acknowledged approach to studying and solving problems of Complex Adaptive Systems such as weapon equipment systems counterwork. Firstly the hierarchy and type of entity model was discussed,then combat agent was used to characterize entities with complicated behavior,finally a model framework of combat agent was proposed to demonstrate the relation between combat units,combat platforms and equipments.
Study of filtering decaying DC component algorithm for microprocessor-based protection

The decaying DC component in the sampling signal will bring errors to the full-wave Fourier algorithm,which is derived with periodic signal.Based on the full-wave Fourier algorithm,an improved algorithm by adding only one sampling point with two full-wave Fourier algorithm transforms to eliminate the error caused by the decaying component is put forward.Furthermore,a simplified method is proposed to substitute the time-consuming calculation.The simulation results prove that the calculation of improved algorithm is simple and fast.
Ruptured mediastinal pseudocyst with pancreaticopleural fistula formation in a 15-year-old boy presenting with white-out hemithorax: A case report

Pancreaticopleural fistula (PPF) is a rare complication of chronic pancreatitis described more commonly in adults with alcoholic and necrotizing pancreatitis. We report a rare case of ruptured mediastinal pseudocyst with the formation of PPF in a 15-year-old boy who presented with progressive dyspnea and large left-sided pleural effusion that recurred despite repeated drainage. On the basis of imaging findings and pleural fluid analysis, the diagnosis of PPF with ruptured mediastinal pseudocyst was made. The diagnosis of PPF should be considered in patients with non-resolving large left-sided pleural effusions. The diagnosis can be confirmed either by significantly raised amylase levels in pleural fluid or direct visualization of the fistula on Computed tomography/magnetic resonance cholangiopancreatography.
Improved indoors location awareness architecture in mobile phones

The processing capabilities and advantages of mobile devices equipped with portable sensors provide the basis for new context-aware services and applications tailored to the user environment and daily activities. People on the move have a grown need for real-time information and services anytime and anywhere. Context information in mobile phones e.g., location, user activity, calendar and speed can significantly improve the user experience in the current situation. A review of the literature suggests that context awareness in mobile phone can be very helpful and considered as inevitable technique in future of mobile phone application. In this paper, we give a short review about context awareness and then critically analyzed related researches to the context awareness in mobile phone. Furthermore, we proposed an architecture to reduce cost of using Global Positioning System (GPS) and improves localization in indoors area. The review argues the weakness and strength of these studies, and aims to (a) indicate the most important context in mobile phone, (b) Improving localization in indoor areas (c) reducing battery consumption of GPS sensor in mobile phone.