Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of unripe papaya and ripe pineapple supplementation on the quality characteristics of rotten fermented fish (Plara Hnong) from tilapia frames

Rotten fermented fish (RFF) produced from tilapia frames was explored. Addition of unripe papaya and ripe pineapple, containing proteases, to increase hydrolysis of the tough frame meat was investigated and compared to a control (distilled water). Yeast and mold (YM), formol nitrogen (FN) and CIE color values (L*, a*, and b*) were determined in months 0, 2, 4, and 6. The results showed that papaya reduced YM to an undetectable level after month 0, but pineapple increased YM to > 3 log CFU/g, causing quality failure. Papaya and pineapple significantly increased FN compared to the control. However, the level of FN did not improve after month 2. A high salt content may have inhibited the proteases in the fruits and consequently led to stable FN levels after month 2. Addition of the fruits tended to increase the Maillard reaction, by which L* was decreased and a* and b* were increased. Conclusively, papaya and pineapple can increase FN. Pineapple caused quality failure due to mold proliferation. Supplementation with papaya in RFF is therefore better than with pineapple in term of YM suppression and is recommended.
Convolutional Neural Networks for Identifying Human Behavior

Human behavior recognition technology is becoming more and more popular. The focus of many deep learning network models is just on improving accuracy. Lightweight models are therefore of particular importance. A lightweight convolutional neural network (LWCNN) was designed specifically for human behavioural recognition tasks. This paper then proposes a combined training strategy approach to train the network, including pre-training, fine-tuning training and migration training, to optimize the LWCNN parameters. On the basis of this,this method can effectively reduce computational complexity compared to existing methods while maintaining identification performance.The accuracy rate of the network model in our data set reached 72.34%, and the experimental re-sults proved that the compressed model can accurately and objectively identify human behavioral images
Evaluating the performance of the most important Lexicons used to Sentiment analysis and opinions Mining

Summary With the emergence of social media that includes billions of people from around of the world interacting and sharing data, information, feelings and opinions among themselves on various topics, there is a huge amount of social media data generated by users to explore opinions and analyze emotions. Sentiment analysis aims to classify the polarity of a text based on the writer's opinion, by revealing the positive, negative or neutral sentiments about a particular subject. It is used in marketing, customer service and other fields. State of art approaches for Sentiment analysis are classified in two categories: the first one depends on Machine learning techniques and data mining by training a model on a set of labeled data. Whereas, the second category lexicon-based ones give specific weights for each word according to polarity of the word which it belongs, and thus identify the sentiments by comparing text words with pre-prepared lexicons. This study relies on the methodology of sentiment analysis based on the lexicon-based, it focuses on five of the most important and well-known lexicons used in the field of sentiment analysis on Twitter data, such as(VADER, SentiWordNet, SentiStrength, Liu and Hu opinion lexicon and AFINN-111). It provides an assessment of the performance of these lexicons in Twitter polarity classification by comparing the overall classification accuracy and the F1-measure The Results show that the accuracy of classification using Vader lexicon were higher for positive and negative sentiments.
Effects of Hen Age and Force Molting Programs on Production Performances during Postmolt Period in Laying Hens

The aim of this study was to determine the effects of hen age and force molting programs on the production performance during postmolt period. The experiment was conducted using 320 Hy-Line W36 hens (63 and 75 week of age) randomly assigned to experimental groups (five replicates of 8 hens for each treatment). The experimental design of the study was a 2 × 4 factorial arrangement in a completely randomized block design. Eight treatments were compared in with 2 age groups (63 and 75 week of age) and 4 force molting treatments [feed withdrawal (FW), 100% alfalfa (A), 50% alfalfa and 50% oat (AO), and 100% oat (O)]). Hens molted by AO and O returned to egg production faster than hens molted by FW. The hen age had no significant effect on egg production, egg weight, feed consumption, feed efficiency and liability during postmolt period. There were no significant differences in egg production, egg weight, feed consumption, feed efficiency and livability between feed withdrawal and non-feed withdrawal methods during postmolt period. The results of this study indicated that the producer may prefer to induced molting depend on egg prices between 63 and 75 week of age. In addition, non-feed withdrawal methods can be used successfully as an alternative to feed withdrawal methods.
Does the low-temperature Arrhenius plot of the photoluminescence intensity in CdTe point towards an erroneous activation energy?

Several experimental photoluminescence (PL) bands of different energies for variously prepared CdTe samples are compared. Temperature variation of the PL intensity is modeled with two nonradiative thermal activation energies, of which ET1 is dominant for about T⩽60 K, and ET2 for the upper temperature range of the measurement. The size of ET1 is invariably of the order of a few meV and, although of unclear origin, its magnitude is usually interpreted as an electronic energy level difference over which the carriers escape by thermal excitation. In CdTe the existence of such a small energy level difference ET1 is not easy to explain. On the contrary, we find clear evidence that, at low temperature, the PL intensity reduction with increasing temperature in fact results from the approximately T−2 temperature dependent capture cross sections of the carriers at the recombination centers, and not from a genuine thermal activation energy ET1.
Numerical investigation on electrical characterization of a capacitive coupled radio-frequency plasma

This paper presents the main electrical features of capacitive coupled radio-frequency (CCRF) discharges in gas. A two-dimensional, time-dependent fluid model was established. Capacitive coupled plasmas (CCP) were produced by applying radio-frequency voltage to a pair of parallel plate electrodes which are separated from the plasma by dielectric layers. The electron equation and the electron transport equations were solved and yielded the electron number density and electron temperature. The electrostatic field was obtained by the solution of the Poisson equation. The distribution of electron temperature and electron number density was studied under different conditions: radio-frequency applied voltages (VRF=100-2000V), frequencies (f=3.0-40.68MHz), pressures (p=0.001-1torr), and gas species (O2, Ar, He, N2). The results show that electron number density presents a minimum near the electrodes, and presents a maximum between the positive and the negative electrodes. The distinguishing feature of CCP is the presence of oscillating sheaths near electrodes where displacement current dominates conduction current. These informations will help us to analyze the characters of CCP for application.
International Journal of Instruction

This paper reports the innovative organization’s components in basic education institutions in Thailand and the results of confirmatory factor analysis to validate those components. The data for analysis were collected from the samples of 84 school directors, 332 deputy school directors, and 84 heads of ICT department in schools of the Basic Education Commission, Ministry of Education in Thailand for the academic year of 2018, using stratified randomized technique. The tool for data collection was approved questionnaire with high content validity at 0.97. The statistics used to analyse the data included means (M), standard deviation (S.D.), and Confirmatory Factor Analysis (CFA). The results revealed that (1) there were eight components and the highest level of the opinions of its importance was on the components of information and communications technology (ICT) management at 4.67(M) and S.D. at 0.31, and (2) there was a significant resemblance between the theory and the empirical data examined by a confirmatory factor analysis (χ2 = 0.13, χ2 /df= 0.01, GFI=0.99, AGFI= 0.97, RMSEA =0.03).
Exploring the influence of organic species on pre- and post-nucleation calcium carbonate

Organic additives are well known to influence the nucleation and growth of minerals. A combination of experimental and theoretical methods has been used to probe how three simple additives, containing varying numbers of carboxylate groups, influence the early stages of the growth of calcium carbonate. Computationally, the free energy landscape has been examined for each additive binding to Ca2+, the calcium carbonate ion pair, the surface of an amorphous calcium carbonate nanoparticle, and the basal plane of calcite. The different influence of the three organic ligands on the early stages of growth of calcium carbonate observed experimentally can be rationalised in terms of the degree of association of each anion with the species present prior to, and immediately after nucleation.
Cross-site analysis of perceived ecosystem service benefits in multifunctional landscapes

50 Rural development policies in many Organization for Economic Co-operation and Development 51 (OECD) member countries promote sustainable landscape management with the intention of 52 providing multiple ecosystem services (ES). Yet, it remains unclear which ES benefits are 53 perceived in different landscapes and by different people. We present an assessment of ES 54 benefits perceived and mapped by residents (n=2,301) across 13 multifunctional (deep rural to 55 peri-urban) landscapes in Europe. We identify the most intensively perceived ES benefits, their 56 spatial patterns, and the respondent and landscape characteristics that determine ES benefit 57 perception. We find outdoor recreation, aesthetic values and social interactions are the key ES 58 benefits at local scales. Settlement areas are ES benefit hotspots but many benefits are also 59 related to forests, waters and mosaic landscapes. We find some ES benefits (e.g. culture and 60 heritage values) are spatially clustered, while many others (e.g. aesthetic values) are dispersed. 61 ES benefit perception is linked to people’s relationship with and accessibility to a landscape. Our 62 study discusses how a local perspective can contribute to the development of contextualized and 63 socially acceptable policies for sustainable ES management. We also address conceptual 64 confusion in ES framework and present argumentation regarding the links from services to 65 benefits, and from benefits to different types of values. 66
Excess enthalpies for 1,1,1-trichloroethane with alkanes, ketones, and esters

Excess enthalpies provide quantitative information about the temperature dependence of the excess Gibbs energy G[sup E]. This information should therefore be used together with other results (vapor-liquid equilibria, liquid-liquid equilibria, limiting activity coefficients, and azeotropic data) for fitting simultaneously temperature-dependent G[sup E] model parameters or interaction parameters of group contribution methods. Although a large number of H[sup E] measurements have been published, results at temperatures other than 298.15 K are scarce. In this paper a flow calorimeter is described, and excess enthalpy data are given for the test systems n-hexane + cyclohexane, benzene + cyclohexane, and methanol + water at 298.15 K as well as for 1,1,1-trichloroethane + n-pentane, + n-heptane, + acetone, + 2-butanone, + methyl acetate, and + ethyl acetate at 363.15 K. These results were used for the systematic development of the group contribution method (modified UNIFAC) developed at Dortmund.
Educational intervention and positive expectancies about the alcohol use among students

1Federal University of São Carlos – São Carlos (SP), Brazil. E-mails: rosamjacinto@hotmail.com; carolinadossantos@hotmail.com; alineokido@hotmail.com; szerbetto@ufscar.br; angelica_enf@yahoo.com. br 2Graduate in Psychiatric Nursing, School of Nursing of Ribeirão Preto, São Paulo University – Ribeirão Preto (SP), Brazil. E-mail: adaene_moura@hotmail.com 3Federal University of Piauí – Teresina (PI), Brazil. E-mail: fernandoguedes@ufpi.edu. br
Age Refinement of the Sonde Molluscan Fauna, East Java, Indonesia

The Klitik Member of the Kalibeng Formation exposed along the Solo River in the Sonde area, East Java, Indonesia contains diverse molluscs that are a standard of the Neogene molluscan sequences in Indonesia vaguely dated as Late Pliocene. We investigated the molluscs and planktonic foraminifers in the Klitik Member exposed in a riverbank of the Solo River at Bangun, 2 km west of Sonde, which is one of the four classical fossil-collecting sites in the Sonde area. Our faunal analysis of the molluscs demonstrated that the mollusc-bearing beds at Bangun were deposited in an intertidal to upper sublittoral zone under the influence of oceanic water. Three sediment samples from the Klitik Member contain abundant planktonic foraminifers, and the molluscbearing beds at Bangun are assigned to a time interval between 3.95 Ma and 3.58 Ma, the latest Early or earliest Late Pliocene. These results are important for the understanding of the molluscan faunal evolution in the Southest Asian archipelago.
Distribution coefficients of REE between Fe oxyhydroxide precipitates and NaCl solutions affected by REE-carbonate complexation

Distribution coefficients of REE between Fe oxyhydroxide precipitates and NaCl solutions doped with NaHCO3 have been determined in pH = 8.1-8.6 and at room temperature and pressure. The coefficient is defined as Kd(REE: ppt./sol.), where REE designates each lanthanide (Ln), Y or Sc. The NaHCO3 concentration was changed in the range of (0∼12) × 10-3 M under a constant NaCl concentration (0.45 M). Kd(Sc) rapidly approaches Kd(Lu) as [NaHCO3] increases. Kd(Y) is lower than Kd(Ho) even in solutions with high [NaHCO3]. The convex tetrad effect in logKd(Ln) becomes less conspicuous with increasing [NaHCO3]. We proposed a method to determine REE-carbonate complexation constants from observed variations of Kd(REE) with increasing [CO32-, aq]. In solutions with [NaHCO3] ≥ 1 × 10-2 M, the dominant dissolved REE species are REE(CO3)2-(aq) except for La. We have tentatively determined the stability constants of β2 for REE(CO3)2-(aq) from our preliminary data set, although β1 for REECO3+(aq) could not be estimated. The series variation of logβ2 are compatible with literature values. On the basis of the refined spin-pairing energy theory (RSPET), we have analyzed the series variations of logβ2 and logKd(Ln) values with and without Ln(III)-carbonate complexation effect. Racah E1 parameter is approximately the same between Ln(OH)3·nH2O as the precipitate and Ln(CO3)2-(aq), whereas Racah E3 parameter of Ln(CO3)2-(aq) is only slightly larger than that of Ln(OH)3·nH2O. This is the reason that the convex tetrad effect of logKd(Ln) diminishes as Ln(III)-carbonate complexation proceeds. Our experimental logKd(Ln) values and apparent logKd(Ln) ones from marine Mn-Fe deposit/seawater pairs suggest that reported log(β1/β2) values for light Ln are slightly smaller than those ought to be.
Hydrophobic coating of carbon nanotubes by CH4 glow plasma at low pressure, and their resulting wettability

This study demonstrates the hydrophobic coating of carbon nanotubes (CNTs) by methane (CH4) glow discharge plasma at low pressure and investigates the superhydrophobic behavior of the treated CNTs. Carbonaceous species produced from the CH4 glow plasma were identified by optical emission spectroscopy. The treated CNTs floated on water for several months, exhibiting hydrophobic properties. Contact angles (CAs) with test liquids were measured from the capillary rise method based on the Washburn equation, to identify the total surface free energies of CNTs with and without CH4 plasma treatment. The total surface free energy of the CNTs can be determined by making use of the measured CA and the van Oss–Chaudhury–Good equation. It was shown that the surface free energy of the plasma-treated CNTs decreased drastically from 27.04 mN m−1 to 1.32 × 10−7 mN m−1, revealing super-hydrophobic modification of CNTs by the CH4 plasma.
Visualizing Prison Life: Does Prison Architecture Influence Correctional Officer Behaviour? An Exploratory Study

How much can prison architecture influence prisoner-correctional officer behaviour? Compared to old style, large and long corridor linear prison units, new style “direct supervision” architecture offers smaller units and a podular design that its proponents claim are expected to encourage greater interaction between correctional staff and prisoners. More interaction is intended to lead to more informal CO influence and less use of coercive relations to manage prisoners. Little research has been done, however, to confirm this rather bold claim, particularly the notion of more time spent interacting. To explore the influence of unit type on COprisoner behaviour, we observed and then compared the time officers spent speaking with prisoners on direct supervision units with officers on linear units. Headingley Correctional Centre, a provincial institution in Manitoba was considered an ideal site because it has both old style linear units in their main building, constructed in 1930, and direct supervision units, built in 2000. The direct supervision physical design at Headingley and practice of stationing of the officer right on the unit clearly appeared to increase opportunities and time spent interacting with prisoners. The short periods of time spent on the linear units by correctional officers made it very difficult to use an interactive style of prisoner management. Results indicated that architecture mattered, and direct supervision units promoted more correctional officer-prisoner interaction. Visualizing Prison Life
Automatic Chest CT Image Findings of Novel Coronavirus Pneumonia (COVID-19) Using U-Net Based Convolutional Neural Network

The continuing outbreak of COVID-19 pneumonia is globally concerning. Timely detection of infection ensures prompt quarantine of patient which is crucial for preventing the rapid spread of this contagious disease and also supports the patient with necessary medication. Due to the high infection rate of COVID-19, our health management system needs an automatic diagnosis tool that equips the health workers to pay immediate attention to the needy person. Chest CT is an essential imaging technique for diagnosis and staging of 2019 novel coronavirus disease (COVID-19). The identification of COVID-19 CT findings assists health workers on further clinical evaluation, especially when the findings on CT scans are trivial, the person may be recommended for Reverse-transcription polymerase chain reaction (RT-PCR) tests. Literature reported that the ground-glass opacity (GGO) with or without consolidation are dominant CT findings in COVID-19 patients. In this paper, the U-Net based segmentation approach is proposed to automatically segment and analyze the GGO and consolidation findings in the chest CT scan. The performance of this system is evaluated by comparing the auto-segmented infection regions with the manually-outlines ones on 100 axial chests CT scans of around 40 COVID-19 patients from SIRM dataset. The proposed U-Net with pre-process approach yields specificity of 0.91 ± 0.09 and sensitivity of 0.87 ± 0.07 on segmenting GGO region and specificity of 0.81 ± 0.13 and sensitivity of 0.44 ± 0.17 on segmenting consolidation region. Also the experimental results confirmed that the automatic detection method identifies the CT finding with a precise opacification percentage from the chest CT image.
Classification of Four-class Motor Imagery Movements using Long Short-term Memory Network

 Abstract —In this study, we have developed a multi-channel dry-electrode EEG system to implement a brain computer interface (BCI) for discriminating four-class motor imagery signals. The EEG channels recorded from Fz, F3, F4, C3, Cz, C4, P3, and P4 positions, according to international 10-20 EEG system, were acquired and wirelessly transmitted to a personal computer. Five subjects were recruited in our experiment. All subjects were asked to perform right hand, left hand, right foot, and left foot imagery movements, 60 trials in each movement type. EEG data were segmented into epochs from 0sec to 8sec, anchored to time points of imagery movement cues. The segmented EEG epochs were pre-processed by means of morlet wavelet. A long short-term memory (LSTM) neural network with 64 LSTM cells were constructed to discriminate EEG signals recorded from different imagery movements. Among total EEG epochs, 80% were randomly chosen as training data and the rest of 20% were used as validation data. The detection accuracy has achieved 89% in our study.
Biodehalogenation: Oxidative and Hydrolytic Pathways in the Transformations of Acetonitrile, Chloroacetonitrile, Chloroacetic Acid, and Chloroacetamide by Methylosinus trichosporium OB-3b

Resting cell suspensions of the soil methylotroph Methylosinus trichosporium OB-3b rapidly metabolize acetonitrile (ACN) and chloroacetonitrile (CCN) to bicarbonate. Formate, a natural substrate for this organism, is a major metabolite in both cases. The first step in these processes, established with 13C-labeled substrates and NMR analysis, is an oxygen insertion into the C−H bond to yield the corresponding cyanohydrins. With acetonitrile, the loss of HCN from the initially formed cyanohydrin (HOCH2CN) produces formaldehyde. The latter is rapidly converted to formate and CO2. With chloroacetonitrile, the first formed cyanohydrin [HOCHCl(CN)] may lose HCN to produce formyl chloride or lose HCl to yield formyl nitrile. The generation of CO, in addition to formate, implicates formyl chloride and/or formyl nitrile as intermediates. With neither ACN nor CCN is the nitrile moiety directly attacked or hydrolyzed. In particular, the nitrile hydrolysis products from CCN, chloroacetamide (CAM), and chloroacetic ac.
ANALYZING THE JUDGEMENT OF TEXTILE FIRMS OF PUNJAB (INDIA) TOWARDS THE GLITCHES RELATED TO ELECTRIC POWER AND LEVEL OF OCCURRENCE OF POWER OUTAGES

A demographic research was conducted to record the judgment of the textile firms from Punjab (India) towards the different origin and causes of power outages in order to know the position of the connected power systems of the public utility companyPunjab State Power Corporation Limited over a seven-point ordinal Likert scales. From April 2015 to April 2017, a successful response from 148 textile firms was obtained falling in the areas of Central, North and South Punjab. The answers were recorded on a questionnaire schedule by conducting both personal interviews and dropping the schedules at the targeted firms for a stipulated period of time. The respondents were advised to answer the questions keeping in mind the years from 2010 to 2014. The Kruskal Wallis and Friedman’s tests with post hoc were applied for the independent and related samples, respectively. The effect sizes were also calculated from the Kruskal Wallis and Mann Whitney test statistics. The power system reliability issues were found highly dominant over the power quality issues. The higher rankings towards the occurrence of power outages because of the failures occurring in infrastructure and equipment showed that the performance of the power systems was not up to the mark. The textile firms from North and South Punjab ranked higher on majority of the dependent variables as compared to the Central Punjab which indicated that the impact of power outages was considerably higher in these regions.