Miracle-dz/UniFAR-FTUs huggingface dataset:
A Critical Review on the Microencapsulation of Bioactive Compounds and Their Application

ABSTRACT Microencapsulation is an effective method to incorporate environmentally sensitive bioactive compounds into small capsules to increase stability and bioavailability. The morphological properties, microencapsulation efficiency and release kinetics are important features of final microcapsules. A systematical review of state-of-the-art microencapsulation methods of bioactive compounds is necessary for the food industry to compare the strengths and weaknesses of technologies, and it can enlighten future researchers to explore a new and promising approach in microencapsulating bioactive compounds. This article discussed the differences in the structures and release kinetics between two types of microparticles (reservoir-system and matrix-system), collected the information of bioactive compounds and compared the physicochemical properties of microparticles produced by six microencapsulation methods (spray drying, freeze-drying, fluidized bed coating, extrusion, supercritical fluids, and electrospinning). Main factors including microencapsulation techniques, working conditions, wall materials and the interaction between the wall and bioactive compounds should be noticed by researchers to produce microparticles with desirable characteristics.
Multi-Source Domain Adaptation in Sentiment Analysis using Optimized Neural Network and Cross-Domain Semantic Library

: Nowadays, the rapid growth of internet has led to the way for easiest data generation. Sentiment Analysis (SA) is necessary to scrutinize the user-generated data for classifying the sentiment polarity into anyone of the two classifications (negative and positive). SA is implemented by machine learning techniques and lexicon oriented techniques. However, the traditional SA models could not deal with missing labelled data and internet slang data. This paper aims to propose a new multi-source sentiment analysis model that includes six stages to perform the task of domain adaptation. For checking similarity between statements, higher order statistics based on text features is exploited. The higher order statistics based features extraction includes use of modified cross entropy measure. Remaining features are then given to proposed classifier that predicts the polarity of target domain in a precise way. For classification purpose Neural Network (NN) is exploited. Particularly, the weights of NN are tuned in an optimal manner using Improved Grey Wolf Optimization (IGWO) algorithm, which is the enhanced version of GWO algorithm. Finally, the performance of the proposed model is compared over several conventional methods of domain adaptation and gained an improvement of 28% to 6% in accuracy.
Associative learning and memory through metamorphosis in Grapholita molesta (Busck) (Lepidoptera: Tortricidae)

Abstract Learning of chemical stimuli by insects can occur during the larval or adult life stage, resulting in changes in the imago chemotaxic behaviour. There is little information on learning in Tortricidae, and associative learning through metamorphosis is unknown in this group. Here, we evaluate the influence of olfactory aversive learning in Grapholita molesta (Busck) (Lepidoptera: Tortricidae) during the immature stage and determine if memory persists after metamorphosis. Larvae (10–12 days old) were conditioned to associate the odour of ethyl acetate with pulses of aversive electric shock. Insects were exposed to air, to the ethyl acetate odour, and to shock, in isolation or combination. After conditioning, both larvae and adults were tested in a two-choice olfactometer. Larvae exposed only to air or ethyl acetate increased legibility. Larvae trained with ethyl acetate and shock simultaneously exhibited significant avoidance to ethyl acetate. Avoidance was still present for at least 72 hours after metamorphosis. Thus, G. molesta has the ability to associate an odour to an aversive stimulus precociously, and this association is maintained through metamorphosis and persists into adulthood.
Can mind perception explain virtuous character judgments of artificial intelligence?

People tend to attribute less of a virtuous or unvirtuous characteristic to artificial intelligence (AI) agents compared to humans after observing a behavior exemplifying that particular virtue or vice. We argue that this difference can be explained by perceptions of experiential and agentic mind. Experiential mind focuses on one’s emotions, sensations, and past experiences, whereas agentic mind focuses on one’s intentions, capacity for action, and behaviors. Building on person-centered morality, virtue ethics, and mind perception research, we argue that both agentic and experiential mind are possible mediators of behavior-to-character attributions. We conducted two experiments (n = 613, n = 584) using vignette scenarios in the virtue ethics domains of truth, justice, fear, wealth, and honor where we manipulated the actor to be an AI or human and the behavior to be virtuous or unvirtuous. As expected, we found that the character judgments of virtues and vices are weaker for AIs compared to humans. This character judgment difference is mediated by both experiential and agentic mind with a larger mediation effect for experiential mind compared to agentic mind. Exploratory analyses revealed differences in character and experiential mind based on the virtue domain.
DCT-Domain Detail Image Enhancement for More Resolved Images

This paper develops a detail image signal enhancement that makes images perceived as clearer and more resolved and so is more effective for higher resolution displays. We observe that the local variant signal enhancement makes images more vivid, and the more revealed granular signals harmonically embedded on the local variant signals make images more resolved. Based on this observation, we develop a method that not only emphasizes the local variant signals by scaling up the frequency energy in accordance with human visual perception, but also strengths up the granular signals by embedding the alpha-rooting enhanced frequency components. The proposed energy scaling method emphasizes the detail signals in texture images and rarely boosts noisy signals in plain images. In addition, to avoid the local ringing artifact, the proposed method adjusts the enhancement direction to be parallel to the underlying image signal direction. It was verified through the subjective and objective quality evaluations that the developed method makes images perceived as clearer and highly resolved.
Electronic and Optical Properties of Size-Controlled ZnO Nanoparticles Synthesized by a Facile Chemical Approach

Facile low-temperature chemical route for the synthesis of ZnO nanoparticles is reported in this paper. Morphologically uniform and spherical shape with an average particle size of 8.8 nm and wurtzite phase with the crystalline structure of as-synthesized ZnO nanoparticles were confirmed by X-Ray Diffraction (XRD), Scanning Electron Microscopy (SEM) and Transmission Electron Microscopy (TEM). The optical properties of ZnO nanoparticles were analyzed by UltraViolet Visible (UV-Vis) absorption and PhotoLuminescence (PL). The as-synthesized ZnO nanoparticles showed orange light-emitting properties when excited at 400 nm due to the well overlapping of electron and hole wave function across the compatible size of the particle of ZnO and the optical energy band gap of 3.5 eV due to quantum confinement. X-ray Photoelectron Spectroscopy (XPS) and Ultraviolet Photoelectron Spectroscopy (UPS) were used for the elemental, molecular and energetic information of ZnO nanoparticles. UPS analysis depicted the energy level position of ZnO nanoparticles whereas XPS spectra showed the presence of constitute elementals with the stoichiometric atomic % of Zn and O. The elemental composition was also confirmed by the EDS analysis. The significant Raman shifts for as-synthesized ZnO nanoparticles in the typical Raman-active modes of vibration assigned to the wurtzite crystal nanostructure of ZnO.
Clinical characteristics and laboratory findings of COVID-19 in Istanbul

Objectives: The aim of this study is to evaluate the ear, nose and throat (ENT) symptoms and laboratory findings of Coronavirus disease 2019 (COVID-19) in Istanbul. Patients and Methods: The single-center study included 121 COVID-19 patients (55 males, 66 females; mean age 59.1±11.6 years; range, 19 to 92 years) followed up between March 15, 2020 and May 15, 2020 at the COVID-19 ward Istanbul Training and Research Hospital in Turkey. The patients were confirmed for COVID-19 with reverse transcriptase-polymerase chain reaction (RT-PCR) and asked to fill in the questionnaire about ENT symptoms. Their clinical data were gathered by reviewing electronic medical records. Results: Common symptoms included fever (74.3%, n=90), fatigue (69.4%, n=84), dry cough (68.5%, n=83) and dyspnea (61.9%, n=75). Hypertension was the most common comorbidity (50.4%), followed by diabetes mellitus (33.1%). According to lung imaging, 90% of patients showed ground-glass opacity. Compared with non-severely ill patients, severely ill patients were older (mean age 65.4±12.3 vs. 57.2±10.8 years, p<0.05), had a higher proportion of hypertension (43.4% vs. 72.4%, p=0.012) and fever. One (3.4%) of the 29 severely ill patients received invasive mechanical ventilation. Conclusion: COVID-19 patients sometimes present without fever and may not have abnormal radiologic findings. Older patients or patients with comorbidities are more likely to have a severe condition. The use of glucocorticoids in treatment is still controversial and more clinical studies are needed.
Influence of Spent Mushroom Compost (SMC) as an Organic Fertilizer on Nutrient, Growth, Yield, and Essential Oil Composition of German Chamomile (Matricaria Recutita L.)

ABSTRACT To investigate the effect of Spent Mushroom Compost (SMC) as an organic fertilizer on German chamomile (Matricaria recutita L.) nutrient, growth, yield, essential oil and osmolytes a greenhouse experiment was conducted through a randomized complete design in six replications. A mixture of sandy loam soil with 5, 10 and 15% volume rates of spent mushroom compost was used as the partial substrate for German chamomile pot culture. Finding of results revealed that usage of SMC in the growing media increased significantly plant growth, flower yield, essential macro nutrient uptake, sodium concentration, proline and soluble sugars content as well as essential oil percentages in compared to control. Comparison between the treatments indicated that addition of 10% SMC to the plant soil substrate cause to higher growth and addition of higher rates of SMC (10% and 15%) led to better yield. The obtained results showed that absorption of K and Na enhanced significantly by increasing of SMC percentage in growing media but there was no significant difference in N and P uptake in SMC treatments. The results of GC and GC-MS analysis presented that the main compositions of essential oil extracted from German chamomile flowers accounted for 83.99–99.84% of total essential oil in SMC treatments. Regarding important role of SMC on the essential oil yield, we can consider SMC could be a suitable substitute for chemical fertilizers as environmentally friendly material in cultivation medicinal plant German chamomile.
A Comparison of an Adaptive Neuro-Fuzzy and Frequency Ratio Model to Landslide-Susceptibility Mapping along Forest Road Networks

In this research, we used the integration of frequency ratio and adaptive neuro-fuzzy modeling (ANFIS) to predict landslide susceptibility along forest road networks in the Hyrcanian Forest, northern Iran. We began our study by first mapping landslide locations during an extensive field survey. In addition, we then selected landslide-conditioning factors, such as slope, aspect, altitude, rainfall, geology, soil, road age, and slip position from the available Geographic Information System (GIS) data. Following this, we developed Adaptive Neuro-Fuzzy Inference System (ANFIS) models with two different membership functions (MFs) in order to generate landslide susceptibility maps. We applied a frequency ratio model to the landslide susceptibility mapping and compared the results with the probabilistic ANFIS model. Finally, we calculated map accuracy by evaluating receiver-operating characteristics (ROC). The validation results yielded 70.7% accuracy using the triangular MF model, 67.8% accuracy using the Gaussian MF model, and 68.8% accuracy using the frequency ratio model. Our results indicated that the ANFIS is an effective tool for regional landslide susceptibility assessment, and the maps produced in the study area can be used for natural hazard management in the landslide-prone area of the Hyrcanian region.
Photosynthetic response to different light exposures and associated environmental conditions of the subaerial, epilithic green alga Trentepohlia umbrina (Chlorophyta, Ulvophyceae)

ABSTRACT The potentially biodeteriogenic, subaerial green alga Trentepohlia umbrina is widely distributed on shaded substrates with northern aspects. This preference for low light was confirmed by a recent survey in Lazio, Italy. However, the same survey revealed an isolated occurrence of extensive growths of T. umbrina-dominated biofilms on surfaces with diverse aspects that ranged from highly exposed to shaded. Prior studies of Trentepohlia photosynthesis have been restricted to single sites, so this multi-aspect site was particularly interesting to understand the photoacclimation potential of Trentepohlia. Photosynthetic pigment concentrations and chlorophyll fluorescence (in situ and ex situ) were used to assess the photosynthetic response to changes in light exposure and humidity. Pigment contents and photoinhibition decreased, while the maximum photosynthetic rate and the level of light that saturated photosynthesis increased with an increasing light exposure duration (ranging from c. 5 to 300 min d–1 of exposure to sunlight). Laboratory tests of relative humidity (RH) on biofilm photosynthesis showed no recorded activity up to 32% RH, only 26% of the maximum activity at 77% RH, and full activity at 92% RH. When T. umbrina was in the desiccated state a lowering of basal of chlorophyll a fluorescence emission and a loss of variable fluorescence occurred. This suppression of fluorescence when cells are desiccated is known to result in photoprotection of reaction centres from continuing high irradiances, as the enhanced thermal dissipation replaces slower and potentially damaging energy transfer to the functional reaction centres. It was concluded that T. umbrina has a much wider environmental range than previously thought, but its growth is very slow and may be overlooked during cultural heritage surveillance, leading to inconspicuous chronic degradation of outdoor stone substrata.
Variation in Tracheid Dimensions of Conifer Xylem Reveals Evidence of Adaptation to Environmental Conditions

Globally distributed extant conifer species must adapt to various environmental conditions, which would be reflected in their xylem structure, especially in the tracheid characteristics of earlywood and latewood. With an anatomical trait dataset of 78 conifer species growing throughout China, an interspecific study within a phylogenetic context was conducted to quantify variance of tracheid dimensions and their response to climatic and soil conditions. There was a significant difference in tracheid diameter between earlywood and latewood while no significant difference was detected in tracheid wall thickness through a phylogenetically paired t-test. Through a phylogenetic principle component analysis, Pinaceae species were found to be strongly divergent in their tracheid structure in contrast to a conservative tracheid structure in species of Cupressaceae, Taxaceae, and Podocarpaceae. Tracheid wall thickness decreased from high to low latitudes in both earlywood and latewood, with tracheid diameter decreasing for latewood only. According to the most parsimonious phylogenetic general least square models, environment and phylogeny together could explain about 21∼56% of tracheid structure variance. Our results provide insights into the effects of climate and soil on the xylem structure of conifer species thus furthering our understanding of the trees’ response to global change.
Model acceptance and use of e-banking with Javanese philosophical approach: An effort to create less-cash society

Indonesia is a developing country with many local cultures trying to continue increasing electronic transactions with e-Banking. UTAUT2 is the one of acceptance and use of the technology model. This study focuses on investigating the effect of Javanese cultural philosophy (local culture in Indonesia) on banking customer behavior in accepting and using banking transactions. This paper is supported by qualitative information, although it uses a quantitative approach. The Javanese cultural philosophy “Ojo Gumunan, Ojo Kagetan” was the main information before distributing the questionnaire as primary data. This model uses UTAUT2 and data analysis using PLS-SEM with SmartPLS. The main results reinforce the theory that the Javanese cultural philosophy “Ojo Gumunan, Ojo Kagetan” is a significant dominant factor in influencing behavior intention. The results of applying the UTAUT2 model show a variance of 86.4% for the endogenous variable behavioral intention and 72.4% for the endogenous variable use behavior to e-banking, which exceeds the value of the original model. Findings revealed that the variables of Javanese philosophy and promotion conditions have a significant effect on behavioral intentions. The facilitating condition variables, habit variables, and behavioral intentions variables on behavior using e-banking proved to affect significantly. This study aims to evaluate the model of acceptance and use of e-banking with a Javanese philosophical approach. The evaluation results show that Javanese philosophy is the main and dominant factor in the model. The contribution of this study can provide insights for practitioners and researchers that increasing non-cash banking transactions (less-cash society) through e-banking can use a local-cultural philosophical approach. AcknowledgmentsThe authors appreciate cultural experts’ contributions, including Magnis Suseno, Didik Nini Thowok, Sujiwo Tejo, and members of the FGD in providing information about Javanese culture. The authors are grateful to all parties who have given their feedback and support in completing this paper.
The Evaluation and Conservation of Plant Genetic Resources Collected in Lithuania

The present work compiles the results of three-year expeditions organized between 2011 and 2013 aimed at plant crop collection in the area of Lithuania, an Eastern European country. Accessions of fruit trees, vegetables, cereals, forage, industrial, fibrous, medical, and spice crops as well as accompanying segetal plants were collected in 5 ethnographic regions of Lithuania. In total, 1010 samples of seeds, bulbs, and plant grafts were obtained. The majority of the collected samples belonged to the Cucurbitaceae, Fabaceae, Solanaceae, Alliaceae, and Rosaceae families. The accessions were described and deposited in the long-term storage in Lithuanian and Polish Gene Banks. Almost all collected cucumbers, pumpkins, squashes, and oat plants were morphologically characterized in field experiments. Cucurbita pepo accessions showed high morphological diversity, while limited diversity of cucumber accessions was observed. Oat plants were characterized by high morphological diversity and resistance to diseases present in some of the investigated accessions. Further characterization of collected apple trees and other accessions is underway. Obtaining germplasm in the area of Lithuania fulfills a gap in current plant crop collections. Collected material could be valuable for pre-breeding evaluation and further breeding programs as well as the study of genetic diversity.
MATERNAL C-REACTIVE PROTEIN IN PREGNANCY AND ITS RELATION WITH EARLY ONSET NEONATAL SEPSIS

Objective:To determine association of early-onset neonatal sepsis (EONS) in newborns of serum C-reactive protein positive mothers. Study Design: Cross sectional study Place and duration of study: Department of Pediatrics, Combined Military Hospital Quetta, Pakistan from September 2016 to March 2018. Material and Methods: 105 neonates (both gender) of all mothers who were C - reactive protein positive were enrolled in this study using inclusion and exclusion criteria.Neonatal sepsis was diagnosed by clinical examination, which was carried out by senior pediatrician, blood complete picture and c reactive protein. Neonates were treated as per departmental protocol. Stratification was done in regard to gestational age, birth weight and age of neonates in hours. Post stratification chi square test was applied and p-value less than 0.05 was considered significant. Results:Out of total 105 patients, 46 (44%) were male and 59 (56%)were female neonates. Amongst the babies of 105 CRP positive mothers, 79 babies were having signs and symptoms of neonatal sepsis and 26 babies were having no signs and symptoms of neonatal sepsis with statistically significant relation between maternal CRP and neonatal sepsis of p value <0.05. Conclusion:Increased maternal CRP level is associated with increased risk of neonatal sepsis. Maternal CRP may be used as a good screening tool for early detection of neonatal sepsis.
From flexible electronics technology in the era of IoT and artificial intelligence toward future implanted body sensor networks

Flexible electronics technology dramatically changes the capability of sensors, which allows us to detect human biological signals not only on the skin but also inside the human body. Wearable sensors that stick to the skin surface can detect various biomechanical movements, biological signals, and byproducts such as useful elements from sweat and body temperature. On the other hand, implantable sensors directly or indirectly contact with biological components inside the body, such as tissue, organs, or muscles, to support or treat bodily functions or problems. With the development of these advanced sensors, we can live together with a huge number of sensors in the future. Toward body sensor networks that can be fully implanted in the future, sustainable energy sources that support the operation of sensors as well as the development of materials that enable long-term use inside the body remain challenges. In this review, we first summarize various state-of-the-art sensors in terms of flexible and wearable platforms. Additionally, we review the recent research trends of energy harvesters in mechanical and thermal energy conversion into useful electricity for the operation of the sensors. Furthermore, we cover recent studies in the aspect of materials for implantable sensors. Finally, we discuss future direction of the sensors that may enable implanted body sensor networks in the body.
Niche and neutral assembly mechanisms contribute to latitudinal diversity gradients in reef fishes

The influence of niche and neutral mechanisms on the assembly of ecological communities have long been debated. However, we still have a limited knowledge on their relative importance to explain patterns of diversity across latitudinal gradients (LDG). Here, we investigate the extent to which these ecological mechanisms contribute to the LDG of reef fishes.