Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of planting time and nitrogen management on microbial population, efficiency of nitrogen and yield of high protein rice during wet season

Studies on effect of different planting time (July, July-August and August) and nitrogen management of 100% RDN and 150% RDN with 2 different splits (1/2+1/4+1/4 and or 1/3+1/3+1/3) on the growth, yield and quality of high protein rice, was conducted during wet season of 2017 and 2018 at the research farm, National Rice Research Institute, Cuttack, Odisha. Significantly higher bacteria, fungus, actinomycetes and grain yield were recorded with late planting (August) after harvest in soil during 2017, 2018 and in pooled data. Crop fertilized with 150% RDN in 3 splits (1/2+1/4+1/4) recorded higher bacteria, fungus, actinomycetes population in soil after harvesting and grain yield during both years and in pooled data, however, it was at par with 150% RDN in 3 splits (1/3+1/3+1/3). Minimum bacteria, fungus, actinomycetes population and grain yield were recorded under control (No nitrogen) at 30, 60, 90 DAT and at harvest during 2017, 2018 and in pooled data. Significantly higher partial factor productivity was recorded with application of 100% RDN in 3 splits (1/2+1/4+1/4) during 2018 and in pooled data, however, it was at par with 100% RDN in 3 splits (1/3+1/3+1/3).
Age and Gender Recognition using Convolution Neural Network

: This paper proposes an automatic age and gender recognition system based on a human face by using a convolution neural network. In recent years extracting information from the human face is one of the active research topics. The Human face consists of facial features like eyes, ears, nose, chin, etc. Which can be analyzed as per our requirements. Age and gender recognition start primarily with face detection. The detection is a technique in which various factors are recognized based on the input and according to the requirement. Our system makes use of the Py Torch framework and consists of several deep convolutional neural networks that are trained to recognize the face from an input image and predict its age and gender. The deep convolutional neural networks are not only inexpensive but also provide good results.
DESIGN, 3D PRINTING AND AUTOMATION OF A MODEL LIGHT DUTY DRILLING MACHINE

Existing drilling machines are handled manually, and the CNC operated ones are quite bulky and expensive both at procurement and in operation. This study focuses on the design, 3D printing and automation of a portable and easy to use light duty drilling machine in order to increase efficient use of material and productivity. The model has advantages of portability and easy to operate. The graphic design of the drilling machine was done using the sketch-up (2015) software and using parameters from a detailed design calculation. The CURA software was used to slice the designed object and then the g-code generated to enable printing on the ANYCUBIC 3D printer. Automation was then carried out using an Arduino board, an electric drill with a stepper motor, an infrared sensor, and a remote-control set. The printed parts were then assembled using bolts and nuts and adhesive in joints with negligible stress requirement. The drilling machine was then tested on several materials, which are carbon brush, wood, plastic, and aluminium, and it was able to drill all materials satisfactorily. The produced automatic drilling machine is most applicable for light duty drilling requirements involving high precision, repetitive operations, working in a hazardous environment.
COMPARATIVE ASSESSMENT OF THE EFFECT OF DIFFERENT HERBICIDES ON WEEDS REPORTED IN CULTIVATION OF NATURAL SWEETENER PLANT: STEVIA REBAUDIANA BERTONI

Weeds are uninvited guests which pose a biotic threat to agriculture, that compete for space, nutrients and out-grow crop plants. Stevia rebaudiana is one among the commercially important crops which has attained global attention due to its “zero calories sweetening power” (300-400 times sweeter than sucrose). Despite numerous benefits, Stevia has weaker ability to compete with weeds, especially at early stage of growth. This study examines the effectiveness of four commercial herbicides: pendimethalin, atrazine, paraquat, and 2, 4-D, for successful control of weeds that affect stevia cultivation. Three major weeds: Erigron sumatrensis, Parthenium hysterophorus, and Solanum nigrum were selected, all of which grow in stevia fields. Each weed was treated with three different concentrations of single herbicide and each experiment was conducted in triplicate. To determine the effect of each herbicide on each weed, chlorophyll content, leaf area and weed height was studied at first, second and third week after treatment. All the three concentrations of each herbicide have shown significant effect on all three weeds but maximum effect observed was under highest concentration of each herbicide: pendimethalin at 0.45mg/ml, atrazine at 0.40mg/ml, paraquat at 0.34mg/ml and 2, 4-D at 0.25mg/ml. In all the three parameters, effectiveness shown by all herbicides was expressed as; 2, 4-D > paraquat > atrazine > pendimethalin. Based on these findings, 2, 4-D can be recommended as the best herbicide for controlling the aforementioned weeds in Stevia fields.
From bargaining to alliance with patriarchy: The role of Taiwanese husbands in marriage migrants' civic organisations in Taiwan

This paper, by looking at the role of Taiwanese citizens in civic organisations for marriage migrants, explores how women’s agency and negotiation occur not only against masculine dominance within patriarchal family arrangements, but also in alliance with it, when oppression is located somewhere beyond the family. In contrast to literature that depicts marriage migration as a women’s and migrants’ issue, this paper explores the role of Taiwanese citizens (often husbands in cross-border marriages) in shaping the evolution of the phenomenon in both the private and public spheres. The aim of this paper is to fill a gap in empirical literature on marriage migration in Taiwan and East Asia, as well as contribute to feminist debates on women’s agency in the context of masculine dominance. Building on ethnographic data collected through fieldwork in Taiwan, including in-depth interviews and participant observation within civil society organisations for marriage migrants, this paper reveals how Taiwanese male citizens and Chinese female migrants responded to the challenges brought by their decision to engage in cross-border unions by creating a new narrative that could explain their condition of shared oppression and by developing joint actions to address the structural discrimination they faced as cross-border couples in Taiwan.
Deep Reinforcement Learning-based Uplink Power Control in Cell-Free Massive MIMO

This paper addresses the power control problem of a cell-free uplink massive Multiple-Input Multiple-Output (MIMO) system with mobile users, aiming at global sum-rate maximization under individual user Quality of Service (QoS) constraints. To solve this problem, we propose a Deep Deter-ministic Policy Gradient (DDPG)-based power control algorithm, whose design is tailored given the static and mobile user cases, respectively. In particular, different partial state space designs are investigated for each mobility use case, so as to achieve the best tradeoff between network performance and required learning complexity. Numerical results validate the effectiveness of the proposed method, which outperforms benchmark schemes both in terms of sum-rate and number of QoS satisfied users. It is shown that it can combine the advantages of traditional uniform max power control and max-min power control schemes. Furthermore, the proposed method is flexible and adapts itself well to dynamic and mobile environments.
Bayesian Logistic Regression with the Local Bouncy Particle Sampler for COVID-19

A novel coronavirus, called SARS-CoV-2, has caused the outbreak of the pandemic of COVID-19. The global economy, people’s health and life have been facing a tremendous threat in COVID-19. This project is to determine some important factors in COVID-19 severity based on 137 Tianjin patients who have been exposed to COVID-19 since January 5, 2020. We fit a logistic regression model and estimate the parameters using standard Markov chain Monte Carlo (MCMC) methods. Due to the weaknesses and limitations of the standard MCMC methods, we then perform model estimation in one special example of a Piecewise Deterministic Markov Process, named the Bouncy Particle Sampler (BPS). This method is also known as a rejection-free and irreversible MCMC, and can draw samples from our target distribution efficiently. One type of the BPS algorithm, the Local Bouncy Particle Sampler (LBPS), has advantages in computational efficiency. We apply the standard MCMC method and the LBPS to our dataset. We conclude that age and Wuhan-related exposures (i.e. people who have lived or traveled from Wuhan) are two important factors in a COVID-19 severity test.
THE EFFECT OF USING FALSE CEILING ON ROOF COOLING LOAD

Using of false ceilings (FC) for decoration and covering different ducts in modern buildings is spreading so much nowadays. This paper tries to find a new employment and other benefits for using false ceilings (FC). A one dimensional transient mathematical model has been established to study the effects of using false ceiling on reduction of heat gained from concrete roof of controlled temperature space. The effect of using false ceiling (FC), with and without adding reflector sheet on its upper side facing to concrete roof on the room cooling load is studied by modeling and solving the transient heat transfer processes in the different components of the space. The results showed that using of false ceiling only without reflector sheet reduces heatgain introduced to space through 24 hours by 66.8%, while using of false ceiling with reflector sheet increases the reduction percent of heat gained from concrete roof to be 81.6% for the same period.
Deep Dynamic Boosted Forest

Random forest is widely exploited as an ensemble learning method. In many practical applications, however, there is still a significant challenge to learn from imbalanced data. To alleviate this limitation, we propose a deep dynamic boosted forest (DDBF), a novel ensemble algorithm that incorporates the notion of hard example mining into random forest. Specically, we propose to measure the quality of each leaf node of every decision tree in the random forest to determine hard examples. By iteratively training and then removing easy examples from training data, we evolve the random forest to focus on hard examples dynamically so as to balance the proportion of samples and learn decision boundaries better. Data can be cascaded through these random forests learned in each iteration in sequence to generate more accurate predictions. Our DDBF outperforms random forest on 5 UCI datasets, MNIST and SATIMAGE, and achieved state-of-the-art results compared to other deep models. Moreover, we show that DDBF is also a new way of sampling and can be very useful and efficient when learning from imbalanced data.
Nest predation versus resources in a Neotropical passerine: constraints of the food limitation hypothesis

Food limitation is one explanation for differences in life-history traits, such as clutch size or nestling mortality, between tropical and temperate birds. Also predation has been con-sidered one of the major factors shaping life-histories. We found mixed support for the food-limitation hypothesis when we experimentally manipulated food abundance and evaluated subsequent effects on breeding and behavioural parameters of the Blue-black Grassquit (Volatinia jacarina). Food-provisioned males increased territorial disputes and received more female visits, and a higher proportion of supplemented pairs produced more eggs and had faster growth rates in their broods compared to non-provisioned pairs. However, egg laying was delayed in the fed group. Unexpectedly, predation in the food-provisioned group was twice that of the control group. We presume that nest detection by predators increased due to higher nest attentiveness in food-provisioned nests. Food availability constitutes a proximate mechanism resulting in changes in behaviours and breeding parameters, but nest predation may be the prevailing selective pressure.
Norwegian Sea net community production estimated from O2 and prototype CO2 optode measurements on a Seaglider

Abstract. We report on a pilot study using a CO2 optode deployed on a Seaglider in the Norwegian Sea from March to October 2014. The optode measurements required drift and lag correction and in situ calibration using discrete water samples collected in the vicinity. We found that the optode signal correlated better with the concentration of CO2, c(CO2), than with its partial pressure, p(CO2). Using the calibrated c(CO2) and a regional parameterisation of total alkalinity (AT) as a function of temperature and salinity, we calculated total dissolved inorganic carbon content, c(DIC), which had a standard deviation of 11 µmol kg−1 compared with in situ measurements. The glider was also equipped with an oxygen (O2) optode. The O2 optode was drift corrected and calibrated using a c(O2) climatology for deep samples. The calibrated data enabled the calculation of DIC- and O2-based net community production, N(DIC) and N(O2). To derive N, DIC and O2 inventory changes over time were combined with estimates of air–sea gas exchange, diapycnal mixing and entrainment of deeper waters. Glider-based observations captured two periods of increased Chl a inventory in late spring (May) and a second one in summer (June). For the May period, we found N(DIC) = (21±5) mmol m−2 d−1, N(O2) = (94±16) mmol m−2 d−1 and an (uncalibrated) Chl a peak concentration of craw(Chl a) = 3 mg m−3. During the June period, craw(Chl a) increased to a summer maximum of 4 mg m−3, associated with N(DIC) = (85±5) mmol m−2 d−1 and N(O2) = (126±25) mmol m−2 d−1. The high-resolution dataset allowed for quantification of the changes in N before, during and after the periods of increased Chl a inventory. After the May period, the remineralisation of the material produced during the period of increased Chl a inventory decreased N(DIC) to (-3±5) mmol m−2 d−1 and N(O2) to (0±2) mmol m−2 d−1. The survey area was a source of O2 and a sink of CO2 for most of the summer. The deployment captured two different surface waters influenced by the Norwegian Atlantic Current (NwAC) and the Norwegian Coastal Current (NCC). The NCC was characterised by lower c(O2) and c(DIC) than the NwAC, as well as lower N(O2) and craw(Chl a) but higher N(DIC). Our results show the potential of glider data to simultaneously capture time- and depth-resolved variability in DIC and O2 concentrations.
Sex and developmental stage of carob flowers affects composition of volatiles

Summary The aim of this work was to evaluate the volatiles composition in the scent emitted in vivo by the three types of carob tree (Ceratonia siliqua L.) flowers, during the different developmental stages. Additionally, an overview of some morphological aspects of carob flowers was also done. Carob trees may be male, female, hermaphrodite or exhibit polygamous inflorescences. The androecium of male flowers consists of a group of 5–7 stamens, inserted peripherically around the receptacle. The gynoecium of female flowers is apocarpous. Hermaphrodite flowers are a combination of male and female types. During the flower development six stages were identified. The volatile compounds of flowers were analysed by headspace solid-phase microextraction followed by capillary gas chromatography and mass spectrometry detection (HS-SPME-CGC/MSD). More than 25 compounds were identified, and flowers in stages III and IV showed higher abundances. In male and hermaphrodite flowers the total volatile compounds were more abundant in stage III, and in female flowers in stage IV. Linalool and trans linalool oxide were the dominant volatiles and there were remarkable differences in those compounds between different types of flowers and during the developmental stages. The results observed were discussed in terms of their possible implication on pollination efficiency.
Effect of edible coatings for enhancing shelf-life and quality in tomato (Solanum lycopersicum L.) fruits at ambient condition

The present investigation was carried out at Uttar Banga Krishi Viswavidyalaya, Cooch Behar, West Bengal to study the effect of post-harvest application of different edible coatings like T1 (Tragacanth 0.5%), T2 (Tragacanth 1.0%), T3 (2gr Stearic acid + 6gr Paraffin wax), T4 (2gr Stearic acid + 6gr Paraffin wax), T5 (T1 +1% CaCl2), T6 (T2 +1% CaCl2), T7 (T3 +1% CaCl2), T8 (T4 +1% CaCl2) to increase the shelf life and to avoid the post-harvest losses of tomato. Different coatings/no coating were applied to fresh tomatoes that were subsequently stored at room temperature for 3 weeks. Observations were recorded on physiological loss in weight, fruit firmness, total soluble solids, acidity, ascorbic acid and total sugars content at an interval of 3 days of storage. Lowest physiological loss in weight (4.82%) was found in T5 (T1 +1% CaCl2) followed by T6 (6.13%). During the storage, the firmness and acidity showed a decreasing trend throughout the storage period. TSS and ascorbic acid was initially increased up to 18 day and then decreased. During the storage, total sugars initially decreased up to 18 day and then increased. It was suggested that using Tragacanth 0.5%+1% CaCl2 as an edible coating is beneficial in extending the shelf life up to 21 days at room temperature, and maintaining quality parameters of tomato fruits during storage.
The Cultivation of Chinese Learners’ English Writing Competency through Learning-oriented Assessment

This study is to empirically investigate the effect of the learning-oriented assessment on Chinese learners’ development of English writing competency. This experiment was implemented in the writing classroom among 74 English majors from a local Chinese university within one term, and the findings from the analysis of 68 pairs of qualified essays indicate a significant difference between the scores in the pretest and the posttest. Based on the fact that the participants displayed a better performance on the lexical and syntactic level in the posttest, it can be inferred that the participants have shown a tendency of being better at exerting their linguistic ability together with their topic knowledge, cognitive and metacognitive strategies to achieve the communicative goal through the learning-oriented assessment model.
Vertebrate Predation Does Not Limit Density of a Common Forest-Floor Wolf Spider: Evidence from a Field Experiment

Because spiders occupy intermediate trophic levels in terrestrial food webs, measuring the extent to which predation by top predators limits spider numbers improves our ability to predict patterns of top-down limitation in terrestrial systems. We determined the degree to which vertebrate predation limits densities of Schizocosa, a genus of wolf spider abundant in leaf litter of the forest floor. In a 15-mo experiment encompassing > 1 Schizocosa generation, we excluded birds and removed small mammals, lizards and amphibians from 5 fenced 50-m 2 plots. Schizocosa densities in the vertebrate-exclusion plots did not become significantly larger than densities in 5 open reference areas (P = 0.11). On the contrary, numbers of Schizocosa tended to be lower in the Removal-Exclusion treatment after the first two census dates. This pattern is evidence that vertebrate natural enemies do not limit densities of this common wolf spider.
Learning Management Systems through Moodle and Google Classroom for Education

Information and Communication Technologies have become more prevalent in the last few years and has made a great impact on society. Worldwide, a lot of education programs offer new forms of education that are frequently supported by information and communication technology (ICT) to cater to young minds. E-learning in particular has been adopted by educational institutions all over the world and it is being used as a part of “blended learning” where it is incorporated into systems along with traditional classroom learning. Nowadays, it has become more relevant than ever due to the COVID-19 pandemic that the world is facing. Although these systems differ from classroom learning, they allow easy communication among teachers and students at any time necessary and provide an entire repository for students to use. For teachers, it acts as an environment for creating courses, assignments, giving feedback and grading students. In this paper, two such E-learning platforms namely Moodle and Google Classroom are compared and contrasted based on their usability and simplicity.
Transport Modeling of Reactive and Non- Reactive Constituents from Summitville, Colorado: Preliminary Results from the Application of the OTIS/OTEQ Model to the Wightman Fork/Alamosa River System

Reactive-transport processes in the Wightman Fork/Alamosa River system downstream of the Summitville Mine, south-central Colorado, were simulated under low-flow conditions using the OTIS and OTEQ solute transport modeling programs. Simulation results revealed that Ca, Cu, Mg, Mn, Na, Zn, Cl, F, and SO4 are conservative in the stream reach, whereas pH, Fe, and Al are non-conservative. Simulations that allow precipitation of Fe(OH)3 and Al(OH)3 match observed water quality more closely than conservative simulations. The pH could not be adequately simulated without assuming that tributary inflows had pH values of about 8 or higher and alkalinities of 50-110 milligrams per liter (mg/L). Subsequent sampling confirmed these predictions.
Brief introduction to current pharmacogenomics research tools

Eun-Young Cha, Hye-Eun Jeong, Woo-Young Kim, Ho Jung Shin, Ho-Sook Kim* and Jae-Gook Shin Department of Pharmacology and PharmacoGenomics Research Center, Inje University College of Medicine, Busan 47392, Korea, Department of Clinical Pharmacology, Inje University Busan Paik Hospital, Busan 47392, Korea *Correspondence: H. S. Kim; Tel: +82-51-890-6748, Fax: +82-51-893-1232, E-mail: hosuegi@gmail.com
Comparative Anatomical Study of In Vivo and In Vitro Laticifers in Two Rubber Tree (Hevea brasiliensis Muell. Arg.) Cultivars (RRIM600 and RRIT402)

Comparative anatomy of laticifer cells in rubber tree (Hevea Brasiliensis Muell. Arg.) in both stem (in vivo) and callus (in vitro) between a high latex-yielding cultivar (RRIM600) and a high woody-quality presenting low latex-yielding cultivar (RRIT402 or Chachoengsao 50) was histologically studied. This study aimed to achieve whether anatomical features of laticifers were closely related to the latex yield. The stem of the uppermost extension unit 1 (EU1) of the epicormic shoot having 5 EUs and 1-month-old young shoot-derived calli of both cultivars were collected for in vivo and in vitro studies, respectively. The density, area, and diameter of laticifers of both cultivars were also measured and compared. The result showed that 3 types of primary laticifers including latex-contained laticifers, starch granule laticifers, and latex-wiped off laticifers were observed in in vivo and in vitro samples of both cultivars. Common feature of the laticifers was a thick cell wall with stained brown due to the iodine-bromine staining. Longitudinal sections through stems exhibited the anastomosed laticifers in RRIT402 were formed earlier than those of RRIM600. The early laticifer connection might be the cause of low latex yield in RRIT402 cultivar. It was Research article Yodyotee et al. (2018) 20 ว. พืชศาสตร์สงขลานครินทร์ 5 (1): 19-27 Songklanakarin J. Pl. Sci., 5 (1): 19-27 also found that the laticifer density of the high latex yielding cultivar (RRIM600) was significantly higher than that of the RRIT402 in both in vivo and in vitro suggesting that the laticifer density of both in vivo and in vitro could be used as a latex yield indicator for each cultivar.