Miracle-dz/UniFAR-FTUs huggingface dataset:
Biodiversity of polychaetous annelids in Bahía de Todos Santos, Baja California México

The aim of this study was to describe and analyze the structure, distribution, and temporal variation in the composition of benthic polychaeta and their relation to abiotic characteristics in marine sediments along the continental shelf of Bahia de Todos Santos, Baja California, Mexico. Benthic macrofauna and environmental variables were collected to coordinated with a long-term ocean monitoring project known as the Southern California Bight Regional Monitoring Program. A total of nineteen stations were collected in September 1998, twenty stations in November 2003, fifteen stations in December 2013 and sixteen stations in September 2018. These data were compared to assess the response of benthic polychaete assemblages to natural and human induced changes in sediment characteristics. All stations were sampled using a Van Veen grab (0.1 m2) at depths between 15 to 206 m. Sites were selected using a multiple density nested random-tessellation stratified design. Environmental parameters measured included depth (m), sediment grain size <63µm (%), organic carbon (%), and concentration of metals: Co, Cd, Cr, Cu, Fe, Mn, Ni, Pb, and Zn. A total of 11,854 polychaetous annelids were identified in 43 families, with the numerically dominant families for all years (Spionidae, Chaetopteridae, Cirratulidae, Maldanidae, Onuphidae, and Ampharetidae) accounting for 52.95% of individuals. The best represented families in 1998 were Spionidae, Maldanidae, Ampharetidae and Cirratulidae. In 2003 the best represented families were Spionidae, Maldanidae, Cirratulidae, and Onuphidae; in 2013 Chaetopteridae and Spionidae; and in 2018 Spionidae, Ampharetidae, Syllidae and Cirratulidae. The Bio-Env multivariate analysis showed that the factors that most correlated with the abundance and richness of families and had the greatest influence over spatial distribution trends for community structure were %Organic carbon and Cu concentration during 1998, % Organic carbon and depth in 2003 and Pb concentration in 2013.
Are Fashion Consumers Willing to Take Risks to Purchase A New Fashion Technology Product?

This research examined how perceived risks affect consumers’ purchase intention toward a fashion AI product and how consumer characteristics such as age affect consumers’ estimation of perceived risks. Perceived risk theory was used as a theoretical framework and four types of risks were selected: financial, performance, emotional, and security. Scales were obtained from established research. Amazon’s Echo Look was used as the stimulus. Empirical data (with 313 valid responses) were collected from the top 10 US metropolitan areas via Qualtrics Panel services. Descriptive statistics, reliability, multiple regression M/ANOVA, and LSD post hoc test were used to test the proposed hypotheses and theoretical framework. Results indicated that consumers’ perceived financial risk negatively influenced purchase intention while performance risk positively affected purchase intention and there was a significant effect for the age group on security risk. Theoretical and practical implications were presented.
INITIAL DEVELOPMENT OF FIVE TREE SPECIES NATIVE TO THE ATLANTIC FOREST IN RECOMPOSITION PLANTATIONS IN SOUTHERN BRAZIL

The regularization of rural properties in the molds of the New Forest Code depends on the silvicultural study of the native species of the Brazilian biomes. The objective of this study was to evaluate the initial growth of five native tree species of the Atlantic Forest, with a view to their use in forest restoration projects. The following species were produced in the nursery, planted in the field, and evaluated for performance: Araucaria angustifolia, Mimosa scabrella, Trichilia claussenii, Schizolobium parahyba, and Cordia trichotoma. These species were distributed in two different areas, based on the randomized block experimental design. In experiment 1, the species A. angustifolia, M. scabrella, and C. trichotoma were distributed in three randomized blocks, each composed of 11 plants of each species. In experiment 2, the species A. angustifolia, M. scabrella, T. claussenii, and S. parahyba were distributed in three randomized blocks, each one composed of five plants of each species. In general, S. parahyba and M. scabrella showed faster development than the other species and, in this regard, are promising candidates for forest areas constitution or reconstitution in which there is interest in obtaining economic returns in less time. Araucaria angustifolia and T. claussenii showed relatively low development, whereas C. trichotoma showed intermediate development in relation to the other species studied. Despite their differences in performance, all species proved to be suitable for use in reforestation, mainly in the region where the study was developed.
Mining Actuarial Risk Predictors in Accident Descriptions Using Recurrent Neural Networks

One crucial task of actuaries is to structure data so that observed events are explained by their inherent risk factors. They are proficient at generalizing important elements to obtain useful forecasts. Although this expertise is beneficial when paired with conventional statistical models, it becomes limited when faced with massive unstructured datasets. Moreover, it does not take profit from the representation capabilities of recent machine learning algorithms. In this paper, we present an approach to automatically extract textual features from a large corpus that departs from the traditional actuarial approach. We design a neural architecture that can be trained to predict a phenomenon using words represented as dense embeddings. We then extract features identified as important by the model to assess the relationship between the words and the phenomenon. The technique is illustrated through a case study that estimates the number of cars involved in an accident using the accident’s description as input to a Poisson regression model. We show that our technique yields models that are more performing and interpretable than some usual actuarial data mining baseline.
Fluorescence detection method of dissolved oxygen based on fiber

The paper proposed a new determination method to meet practical needs of trace detection of dissolved oxygen (DO), which is based on fluorescence quenching and using holy optical fiber (HOF). A DO optical probe was fabricated by modifying the sensitive film doped with fluorophore in the array microholes of HOF, and the sensing character was characterized. The microholes throughout the whole fiber could be used as the substrate of sensing materials and minor reaction pools. Compared with the conventional DO probe, the arrays microholes had huge sensing surfaces and the fluorophore can interact directly with the oxygen molecules, so the sensitivity was improved and also has the potential application in microanalysis detection. From the experimental results, we find the Stern-Volmer plots are linear in the full concentration range of 0~20 mg/L. The ratio of I0/I as a sensitivity of the probe is 3.6, and the probe can make a quick response within 200 ms. The probe has important applications in the dissolved oxygen trace detection.
High frequency callus induction and proliferation of MD2 pineapple (Ananas comosus)

Ananas comosus var. MD2 is currently the most preferred pineapple variety in the international market due to its pleasant aroma and high Brix acidity ratio. In vitro approaches such as callus culture is promising in producing disease-free plantlet. However, there are limited studies reported on callus culture of MD2 variety despite the potential of in vitro regeneration through biotechnological advances. The purpose of the study was to determine the effect of plant growth regulators (PGRs) i.e., 2,4- dichlorophenoxyacetic acid (2,4-D), 6-benzylaminopurine (BAP) and Thidiazuron (TDZ) on callus induction from leaf explant of MD2 pineapple. Leaf base explants were cultured on Murashige and Skoog (MS) media supplemented with varying concentration of 2,4-D (0.5 to 6.0 mg/L) alone and in combination with BAP (1.0 to 3.0 mg/L). The frequency of callus induction was seen significantly highest (91.67±8.33%) with maximum callus fresh weight (0.25±0.07 g) at a combination of 2.0 mg/L 2,4-D and 2.0 mg/L BAP. The shortest duration of callus formation was seen on day 12 with the lowest concentration of 2,4-D, 0.5 mg/L. There is a moderate correlation between the earliness of callus formation and the frequency of callus induction (P<0.01). The most favourable media for callus proliferation was 6.0 mg/L 2,4-D and 2.0 mg/L TDZ as the highest fresh weight of 1.52±0.03 g was recorded. Callus culture has the potential to be a source of plant material and secondary metabolites production. In this study, 2,4-D and BAP have successfully induced callus in MD2 pineapple.
Numerical Analysis of Polymer Composites for Actuation

The design of a polymer composite actuator is essential for micro and nano applications. Thus, the composite material may deform or deflects as specific stimuli are applied, such as heat, electrical, light source, etc. The deformation of the composite material is caused by the type of stimulus applied. Hence, while it is heated, the expansion takes place quickly, and the heating is shut down, the material shrinks very slowly. In the present investigation, this phenomenon is mainly studied in the actuation of composite beams. Numerical analysis of carbon black filled polymer composite beam expansion, and contraction is being analyzed in this research. The structure of the beam has been created, and the composite properties are incorporated into the beam, and the uniform heat source is applied on to the surface of the beam. The heating and cooling of the composite material predict the increase and decrease in the temperature of the beam. The numerical analysis of the temperature-dependent expansion and contraction of the composite beam has been carried out successfully. An increase in temperature is observed to signify the slight expansion in the composite beam, whereas the contraction of the composite beam takes a longer time to reach room temperature. Also, the increase in the content of the filler leads to a decrease in the expansion of the composite beam. The numerical simulation of the polymer composite thus provides a solid platform for the experimental study of thermal actuators.
In vivo study of the antioxidant test of ethanolic extract of Chromolaena odorata Linn. leaves

Background: Chromolaena odorata L. leaf was reported to contain phenolic group compounds, such as flavonoids. Flavonoid compounds have been reported to have antioxidant activity. Based on in vitro study, Chromolaena odorata L. leaves have potent antioxidant activity. However, in vivo, studies with dose variations have not been reported. Purpose: This study evaluates the antioxidant activity with various doses of ethanolic extract of Chromolaena odorata L. leaves against male Wistar rats induced by paracetamol. Methods: Flavonoid contents were measured spectrophotometrically based on the formation of a complex flavonoid-aluminum. Quercetin was used to make a calibration curve. In vivo test was used TBARS method carried out by measured malondialdehyde (MDA) level in male Wistar rats induced by paracetamol 2g/Kg BW. The test was carried out on extracts with doses of 125, 250, and 500 mg/Kg BW. Vitamin C with dose 6,5mg/Kg BW used as a positive control, and 1% of Na CMC used as the negative control. Histopathology assessment of liver used Hema-toxylin Eosin Stain. Results: Ethanolic extract of Chromolaena odorata L. leaves contain flavonoid 126.459±0.163 mg/g extract as quercetin equivalent. Intoxication paracetamol on rats increased MDA serum level significantly different (p-value < 0.005) with normal control. Treatment of ascorbic acid and extracts decreased MDA serum level significantly different (p-value < 0.005) with control negative and improved the histological structure of hepatocytes. Conclusion: Ethanolic extract of Chromolaena odorata Linn. dose 500 mg/Kg BW was the best treatment with exhibited 58.974% reduction of MDA serum level and better improve the histological structure hepatocytes than other doses
Simultaneous electrokinetic concentration and separation of proteins on a paper-based analytical device

In this report, we introduced an electrokinetic strategy for simultaneous concentration and separation of charged analytes in an open and free standing paper fluidic channel. This was achieved by taking advantage of the field amplified sample stacking (FASS) effect. An electric field gradient was developed in the channel due to the conductivity difference between the background electrolyte (BGE) and sample solution. Through adjustment of the electroosmotic flow level and BGE concentration, charged analytes were not only stacked but also separated in the gradient based on their difference in electrophoretic mobility. Proof of concept was demonstrated firstly by two food dyes, brilliant blue and amaranth, and each dye was about 100-fold concentrated within 300 s. Simultaneous stacking and separation of two colored proteins, bovine hemoglobin and cytochrome c, was also demonstrated visually with the proposed method. Sample consumption was reduced to 5 μL by directly loading the sample onto the open channel, and the separation was completed within 30 s. This method is simple, rapid and easy to operate, which is particularly beneficial to the development of sensitive and multifunctional paper-based analytical devices (PADs) for field testing.
Antibacterial Polysulfone Membranes: The Effect of Eugenol and Zinc Oxide as Additives

The purpose of this study was to investigate the influence of eugenol and zinc oxide on antibacterial properties of polysulfone membrane. Polysulfone membranes were prepared by a simple phase inversion technique with N-methyl-2-pyrrolidone (NMP) as solvent and polyethylene glycol as pore forming agent with zinc oxide and eugenol as additives. Membrane structure were characterized using scanning electron microscope (SEM) to observe the effect of both additives towards the formation of dense top layer and porous bottom layer of membrane. Disc diffusion test was conducted to evaluate the antibacterial performance against Escherichia coli (E.coli). SEM result showed the formation of thin top and bottom layers with more porous structure for hydrophilic zinc oxide particle, while dense top and bottom layers with slightly smaller porous network for eugenol addition. However, accumulations of particles were found for membrane with zinc oxide at higher concentration. The synergistic effect of combination zinc oxide and eugenol on antibacterial activity against E coli was found in this study. Besides that, the inhibition ring of membrane was improved 200% when both zinc oxide and eugenol were added in polysulfone membrane, Based on the findings, we can conclude that membrane with a combination of zinc oxide and eugenol has a huge potential membrane for bacterial removal.
Predicting the Permeability of Pervious Concrete Based on the Beetle Antennae Search Algorithm and Random Forest Model

Pervious concrete is an environmentally friendly material that improves water permeability, skid resistance, and sound absorption characteristics. Permeability is the most important functional performance for the pervious concrete while limited studies have been conducted to predict permeability based on mix-design parameters. This study proposed a method to combine the beetle antennae search (BAS) and random forest (RF) algorithm to predict the permeability of pervious concrete. Based on the 36 samples designed in the laboratory and 4 key influencing variables, the permeability of pervious concrete can be obtained by varying mix-design parameters by RF. BAS algorithm was used to tune the hyperparameters of RF, which were then verified by the so-called 10-fold cross-validation. Furthermore, the model to combine the BAS and RF was validated by the correlation parameters. The results showed that the hyperparameters of RF can be tuned by the BAS efficiently; the BAS can combine the conventional RF algorithm to construct the evolved model to predict the permeability of pervious concrete; the cement/aggregate ratio was the most significant variable to determine the permeability, followed by the coarse aggregate proportions.
Anti-Mycobacterial Activity Of Some Synthesized 2 (21-Phenyl-4-Benzidinyl-5-Oxo-Imidazoline-1yl-Amino-6 Fluoro-7-Substituted (1, 3) Benzothiazoles

2[2’Phenylidinyl5’oxoimidazoline1ylamino] -6 fluoro7substituted (1,3) benzothiazoles have been synthesized and screened for antitubercular activity. Literature revealed that vast majority of benzothiazoles and imidazole compounds are known to possess pharmacologically proven therapeutic potentials. Though extensive research work is reported on benzothiazoles, reactively very little is known so for about fluorobenzothiazole incorporated imidazolines with fluorine at 6 position. The reaction of 6fluro-7-chloroaniline with potassium thiocynate (KSCN) in presence of bromine and glacial acetic acid and ammonia to get 2-amino 6fluro-7-chloro(1,3) benzothiazoles (1) which was further treated with hydrazine hydrate in presence of ethylene glycol and sulphuric acid to yield 2-hydrazino-6-fluoro-7-chloro(1,3) benzothiazoles(2). It was reacted with prepared Oxazolone i.e.2phenyl-4-benzylidine-5-oxazolone (3) to yield 2[2’Phenylidinyl5’oxoimidazoline1ylamino] -6 fluoro7chloro(1,3) benzothiazole(4), which was treated with variety of aromatic anilines in presence of DMF to yield different derivatives (5a-5i).
Preparation and characterization of solid lipid nanoparticles of furosemide using quality by design

ABSTRACT The present work aimed to synthesize solid lipid nanoparticles (SLNs) of Furosemide (FRSM). The parameter sensitivity analysis showed a significant effect of particle size and reference solubility on the AUC0–∞, Cmax and tmax. The FRSM-encapsulated SLNs were synthesized by the phase inversion temperature (PIT) technique using 32 factorial design. The optimal level of 221.28 mg of Compritol 888 ATO and 420 mg of Cremophor RH 40 showed a mean hydrodynamic diameter (MHD) of 25.54 ± 0.57 nm, a polydispersity index (PdI) of 0.158 ± 0.01, the % entrapment efficiency of 80.70 ± 4.06%, percent dissolution efficiency of 71.72 ± 1.52% and time elapsed for 50% drug release of 3.67 ± 0.15 h. The PIT was determined using the turbidity method and the values ranged between 75°C and 73°C. Transmission electron microscopy (TEM) and atomic force microscopy (AFM) images represent spherical to sub-spherical and smooth surface of SLN. The Fourier transform-infrared (FTIR), differential scanning calorimetry (DSC) and x-ray diffraction (XRD) depict the drug-excipient compatibility. Korsmeyer–Peppas was found to be the best fit release kinetics model (R2 = 0.973; K-value = 29.96 and release exponent = 0.40), predicting the Fickian diffusion. The results advocate that the optimized formulation (OF) could promote the controlled release, and improve the physicochemical stability of the formulation. Hence, SLN could be a potential drug carrier for the peroral delivery of FRSM.
Release of lysosomal enzymes from kidney lysosomes in seronegative rheumatoid artritis

Author(s): Dejan Spasovski* Introduction: To determine the effects of non-treated seronegative Rheumatoid Arthritis (RA) on proximal renal tubule, sensitivity of Alanine Aminopeptidase (AAP), -Glutamyltransferase (--GT), 2 Microglobulin in urine (2M), as well as relation with Rheumatoid Factor (RF) and C-Reactive Protein (CRP), DAS 28 disease activity index. Methods: RF was determined by ag . Abstract View Full Article View DOI: 10.17352/acn.000048
PENERAPAN ANALISIS KONTEN PADA POLA PENGEMBANGAN PARIWISATA HALAL BERBASIS MASYARAKAT DI GEOSITE LEMBAH SEMBALUN

This study aims to find the results of content analysis in determining the pattern of developing halal tourism based community in Geosite Lembah Sembalun. Data collection was colledted through observation, in-depth interviews and documentation. The results of this study obtained 3 categories and 11 themes through open and axial coding processes. In this study, it is stated that the pattern of developing halal tourism based community in Geosite Lembah Sembalun is spontaneous and induced participation obtained from 3 categories of content analysis, namely community participation in involvement phase, degree of participation and community participation in developing halal tourism.Keywords: Content Analysis, Halal Tourism, Pattern, Participation, Geosite Lembah Sembalun
Microwave Photonic Sensors

Microwave photonics is a field that studies the interaction between microwave and optical waves for the generation, transmission, processing, and measurements of microwave signals by means of photonics, to take advantage of the high speed and broad bandwidth offered by modern photonics. Microwave photonic sensors are one of the active sub-fields that uses microwave photonic techniques to achieve high-speed and high-resolution measurements. In this article, microwave photonic techniques for optical sensing demonstrated in the past few years will be reviewed including high-speed and high-resolution sensing based on heterodyne beating of two optical wavelengths, the use of an optoelectronic oscillator to translate the optical wavelength shift to a microwave frequency change, and the use of wavelength-to-time mapping to translate the sensing information from the optical wavelength domain to the microwave frequency domain, to increase the interrogation speed and resolution. The use of photonic integrated circuits to achieve high-speed and high-resolution microwave photonic sensing will also be discussed.
The reliability and concurrent validity of a new iPhone® application for measuring active lumbar spine flexion and extension range of motion in patients with low back pain

ABSTRACT Objective: To investigate the reliability and validity of an iPhone® application (iHandy® Level) for measuring active lumbar flexion-extension range of motion (ROM) in chronic nonspecific low back pain (CNLBP) patients. Methods: Fifteen CNLBP patients were recruited. The participants stood in a relaxed position and the T12-L1 and S1-S2 spinal levels were identified through palpation and were marked on the skin. Two blinded examiners used a gravity-based inclinometer and the application in order to measure ROM. The instruments were lined up appropriately and the participants were asked to perform maximum lumbar flexion following by maximum extension. First, each examiner placed the instruments over the T12-L1 level and then over the S1-S2 level during the movements. In order to calculate flexion-extension ROM, the measurement which was obtained from T12-L1 was subtracted from S1-S2. Intraclass correlation coefficient (ICC) models (3, k) and (2, k) were used in order to determine the intrarater and inter-rater reliability, respectively. The Spearman’s correlation coefficients (rs ) and Bland-Altman plots were used in order to examine the validity. Results: Fair-to-excellent intrarater (ICC = 0.39–0.89) and moderate-to-good inter-rater reliability (ICC = 0.55–0.77) were observed using the inclinometer. Moreover, poor-to-good intrarater (ICC = 0.30–70) and inter-rater (ICC = 0.13–0.70) reliability were found with the application. The Spearman’s correlation coefficients demonstrated low-to-moderate associations between the measures of the two instruments (rs ≥ 0.22). The Bland-Altman plots indicated that there was a significant difference between the instruments for measuring flexion ROM. The difference was not significant for measuring extension ROM. Conclusion: The iHandy® Level application does not have sufficient validity for measuring active lumbar flexion ROM in CNLBP patients.