Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of bunch protection material and bagging time on the yield of 'Nanica' banana and chilling control

The bagging of banana bunch can control chilling injury (CI) in the field, which causes browning of banana peel. The purpose of this study was to evaluate the effect of changing the bunch protection material and bagging time on the yield of 'Nanica' banana (AAA) and the occurrence of CI. The experiment was conducted in Jacupiranga, SP, Brazil. The experimental design was completely randomized design arranged in a 2 x 2 x 6 factorial scheme with eight replicates, two bunch formation periods (autumn-winter and winter-spring), two bagging times (early, before the opening of bracts, and late, after complete opening) and six treatments. Treatments were polyethylene bags with different thickness (blue bags of 3mu in thickness and black bags of 6, 8 and 10mu in thickness combined with white non-woven fabric, black bag of 10mu in thickness combined with blue polyethylene bag 5mu in thickness impregnated with insecticide) and non-bagged banana. The change of sunlight transmission with black polyethylene bags of different thickness promoted a small increase in fruit peel temperature (0.14 to 0.57 degreesC) on colder days (8.72 degreesC), reduced CI index and improved peel brightness (L*) and ho (hue angle), although it did not affect bunch mass. However, in late winter, sunburn increased fruit losses. Sunlight transmission in fruit peel was correlated with CI index (r=0.92*), L* (r =-0.77*) and phenols (r=0.85*). Despite not controlling CI, early bagging is recommended for increasing peel L*.
Low quiescent current capacitor-less LDO regulator with high slew rate super class AB CMOS OTA

This paper presents a low quiescent current capacitor-less low-dropout regulator (LDO) with high slew rate super class AB CMOS operational transconductance amplifier (OTA). The OTA of this design is based on the combination of class AB differential input stages and local common-mode feedback (LCMFB) which provides additional dynamic current boosting, increased gain-bandwidth (GBW) product and slew rate (SR). LCMFB is applied to various class AB differential input stages, leading to different class AB OTA topologies. The design also uses dynamic charging transistor (DCT) to enhance the transient characteristics of the circuit. The presented LDO is fabricated in a 0.18 um standard CMOS process. The circuit consumes a quiescent current of 10 uA at no load, regulating the output at 1.0V with maximum output current of 100mA from a voltage supply of 1.2V. It achieves full range stability from 1mA to 100mA load current at a maximum 100pF load capacitor.
Deep Learning and OpenCV in Real time object Detection and Tracking Techniques: In Live Video Surveillance

Moving object detection and tracking are the lot of vital and difficult task in video police work and pc vision applications. Object detection is that the procedure of finding the non-stationary entities within the image sequences. Detection is the first step towards following the moving object within the video. Object illustration is that the next vital step to trace. Tracking is the technique of distinguishing, the position of the moving object within the video. Distinguishing the position is far more difficult task then detection the moving object in a very different video. Object tracking is applied in various applications like in automaton vision, monitoring the traffic, Video police work, Video in-painting and Simulation. Here we have a tendency to be planning to gift a quick review of diverse object detection, object classification and object following algorithms obtainable.
PERSPECTIVAS DE PESQUISA SOBRE INTELIGÊNCIA ESTRATÉGICA ANTECIPATIVA E COLETIVA (IEAc) POR MEIO DA ANÁLISE DE SENTIMENTO: UM CENÁRIO DIDÁTICO DE USO

Strategically companies must be in constant adaptability, in other words, watchful to external movements regarding future events. So, there is the need of weak signals exploration through the detection, interpretation and use of these signals to anticipation. This experience report aims to present research perspectives on Anticipative and Collective Strategic Intelligence (IEAc) through Sentiment Analysis. Within this context, and following the action research method, it was proposed an implemented through IBM ́s Node-RED tool, an educational scenario of sentiment analysis use. The experiment consisted in monitoring Twitter posts on a determinate subject indexed through a hashtag. If the analyzed post was considered negative by sentiment analysis algorithm, an e-mail is sent to a determinate user so this user can do the management/decision making on the subject. This scenario is applied for demonstration of this Advanced Analytics technique in order to bring an innovative way to IEAc.
Instagram addiction in teenagers: The role of type D personality, self-esteem, and fear of missing out

Instagram addiction is a social phenomenon among adolescents that has been scantily researched. This study aims to empirically examine the effect of type D personality (social disinhibition and negative affectivity), self-esteem, and fear of missing out (FoMO) on Instagram addiction among teenagers. A total of 259 participants, type D personalities with severe Instagram addiction who live in Jakarta Greater Area obtained through screening results (based on their total scores). This research used snowball sampling dan regression techniques for data collection and analysis. Data analysis showed that all predictors affected 56.9% of Instagram addiction cases. Partially, it is known that only negative affectivity (one of type D personality factors) has no influence on Instagram addiction, which means that, the role of pure internal factors such as personality type D is not as significant as the combination of both external and internal factors such as fear of missing out and self-esteem in influencing Instagram addiction.
Overview of electronic tongue sensing in environmental aqueous matrices: potential for monitoring emerging organic contaminants

Emerging organic contaminants (EOC) are synthetic or naturally occurring chemicals that have the potential to enter the environment and cause known or suspected adverse ecological and human health effects. Despite not being commonly monitored, EOC are often detected in effluents and water bodies because of their inefficient removal in conventional wastewater treatment plants. There is a growing concern about the presence and impact of EOC as well as the need for reliable and effective water monitoring using sensors capable of detecting the target molecules in complex media. Due to their specificities, such as fast response times, low cost, portability and user-friendly operation, electronic tongue (e-tongue) systems present some advantages over the traditional analytical techniques (e.g., chromatographic systems) used for environmental monitoring. We reviewed e-tongue sensors, focusing on their ability for real-time environmental monitoring. A bibliometric evaluation was carried out, along with a study of the status of the existing e-tongue systems, how they worked, and their applications in different fields. The potential of e-tongue sensors to detect organic contaminants in aqueous environmental matrices is discussed, with a particular focus on EOC.
A survey on attacks faced by deep reinforcement learning

Deep reinforcement learning can be defined as a combined form of reinforcement learning(RL) and deep learning . This field introduced solutions for different complex decision making tasks. It has an ability to adapt to the surrounding environments. Despite of having many advantages it also faces some attacks when we use them in real life applications. This paper includes some of the attacks faced and survey on the countermeasures can be taken to resolve them.
Polydispersity in colloidal phase transitions

I have studied the effects of polydispersity on the phase behaviour of suspensions of PMMA colloidal spheres on their own and in the presence of non-adsorbed polymer. I systematically explored the volume fraction–polydispersity (φ − σ) phase behaviour of hard spheres (with radii R =167, 244, 300 and 303nm) through direct observations and crystallography measurements. I observed normal crystallisation for σ ∼ 18%. Samples at σ ≈ 9.5% showed crystal-fluid coexistence between 0.52 ∼ 0.3) introduces a region of stable gas-liquid coexistence. In systems where crystallisation is suppressed due to polydispersity, this will theoretically be the only transition. By preparing many samples over a range of φ and cp this prediction was observed experimentally for ξ ≈ 0.5. Fractionation studies on coexisting phases enabled verification of a recent universal law of fractionation in slightly polydisperse systems.
Quantitation of protopine in Fumaria parviflora L. whole plant powder by high-performance liquid chromatography.

L, of Fumariaceae family, are mainly alkaloids. Of these,protopine is a predominant compound in the whole plant. Protopine, a known purifiedcomponent fr om se veral botanical dr ugs has been e xamined f or its antithr omobotic ,antiinf lamma tor y, antiocice ptive also inhibits K"A"T"P c hannel cur rents in humanembryonic kidne y cells (HEK-293)
Expression of grapevine leaf stripe disease foliar symptoms in four cultivars in relation to grapevine phenology and climatic conditions.

Grapevine leaf stripe disease (GLSD) symptom expression was analysed in four vineyards and four cultivars, in Sardinia (Italy), taking into account ten-year annual and five-year monthly surveys. The cumulative incidence of symptomatic plants reached high values on Sauvignon blanc, Cabernet sauvignon and Cannonau (81.9, 79.4 and 66.5% respectively), but low on Merlot (25.1%). Symptoms appeared during or before the 50% flowering stage and maximum increments were assessed in June and partially in July. Annual incidence of foliar symptoms fluctuated in the ten years of the survey. Positive regressions were found between incidence of vines that exhibited foliar symptoms in year n but were symptomless in year n-1 and rain parameters in the 30 days after stabilization of mean temperature around 10°C, when colonization of pruning wounds begins. This relationship could suggest the involvement of new infections or re-infections on symptom expression in the following growth season. Significant regressions between incidence of vines that exhibited foliar symptoms in year n but were symptomless in the year n+1 and climatic parameters were also recorded. High temperatures and low rainfall in the period from pre-flowering to veraison were conducive to a higher number of asymptomatic plants. Regarding monthly foliar symptoms evolution, an increase in temperature from 50% sprouting until June led to a greater number of new symptomatic plants. On the other hand, a smaller percentage of new symptomatic plants was associated with an increase in temperature from June to July, which may have influenced vine water balance and transport of toxins by the sap flow.
Analysis of the Design Parameters for a Lightfield Near-eye Display Based on a Pinhole Array

With the increasing demand for head-mounted display applications, the image quality provided by a near-eye display device is a key factor in satisfying the consumer. Among various techniques to realize a near-eye display that has a thinner volume than the working distance of a human eye, a lightfield image-generation method based on a pinhole array is attracting much attention, with its simple and thin structure. In this paper, we propose a numerical analysis of the visual parameters and verifications with computational reconstruction.
Mechanochemical synthesis, characterization and antimicrobial screening of Metal (II) complexes derived from amoxicillin

Mechanochemical synthesis of Co(II), Fe(II), and Mn(II) amoxicillin complexes by simple grinding of metal (II) chlorides with amoxicillin. The mechanochemical products were characterized by solubility, melting points, conductivity values, magnetic moments and Infrared spectral studies. The IR spectral data of amoxicillin complexes the ligand acted as bidentate which coordinated to the metal ion through υ(COO) and υ(C=O). The Job’s method analyses suggested 1:2 metals to ligand ratio and molar conductivity values is in the range of 5.58-11.67 Ωcm electrolytes nature in DMSO. The complexes are all soluble in DMSO, while two are soluble in ethanol, DMF and methanol, one is not. The complexes decompose at a range of 217-278C Indicating higher stability than their respective ligands. The magnetic moment values have proved that all the synthesized complexes are paramagnetic. The ligands and complexes were screened against three bacterial strains; Escherichia coli, Salmonella typhi and Staphylococcus aureus for antimicrobial activity. The results show that both the ligand and the complexes are active against the test bacteria; most complexes are active in all test concentration while others are only active at high concentration against bacteria.
Virtual Reality Acceptance in Classrooms: A Case Study in Teaching Science

Virtual reality can be defined as “near reality” where virtual is near and reality is experience by humans. The aim of this research is to explore the benefits of VR technology in education that can engage the learning process using Virtual Reality (VR) in the classroom. Thus, the research objectives are to seek for student design and development of application, convenient, facileness and gratification of VR application in learning process. Using quantitative method, data from questionnaires and evaluations of existing Virtual Reality applications were analyzed in descriptive way to assess the viability of mobile Virtual Reality as a medium for improving learning. The developing process of an VR mobile based application is defined explicitly, and the final graphical student interface of the application is demonstrated to show overall look of the final product that is developed for this project. This includes three types of testing in this project which are performance testing, user acceptance testing and usability testing. Based on the 40 respondents results, it can be concluded that virtual reality application is a good application that can enhance and also engage students learning process in science subject as the mean value for perceived of convenient items was 3.67, followed by 3.66 for perceived of facileness items and finally mean value for perceived of gratification items was 3.61. To conclude, virtual reality application is an effective application for students’ science learning process in school especially in the 21st century teaching and learning.
Image Raindrop Removal Method for Generative Adversarial Network Based on Difference Learning

Due to the interference of the external environment such as rainy weather on the camera, raindrops can easily adhere to the lens and seriously affect the quality of the photos taken. Therefore, it is of great significance to remove raindrops from the image and improve the quality of the photo. In this paper, a raindrop method for generative adversarial network images based on differential learning is proposed. The general generative network is to input images with raindrops and output clean images. The generative network in this paper does not directly output clean images, but learning the difference between images with raindrops and without raindrops, then subtract the learned difference from the image with raindrops to generate a clean image. In order to learn this difference more effectively, adding reconstruction loss to the generative network, the pre-trained VGG-16 network is used to extract the difference between the generated image and the real image features and calculate the mean square error. The experimental results show, the method in this paper can not only remove the raindrops in the image well, but also reconstruct the image information of the part blocked by the raindrops. The image processed by the algorithm in this paper is tested using the yolov3 target detection algorithm, which can significantly improve the recognition accuracy of the detection algorithm.
Two dynamic crossovers in protein hydration water and their thermodynamic interpretation

A predistortion-based amplifier which compensates for distortions generated by the amplifier when a modulated wave signal is amplified thereby in accordance with a predistortion scheme, based on envelope information of the modulated wave information. An envelope information detector for detecting information related to the envelope of the modulated signal to be amplified comprises, between an input terminal A1 and an output terminal A2, matching circuits 11, 14, diode circuits 12, 15, 16 for rectifying the modulated wave signal, a stub circuit 13 for removing a carrier component of the signal output from the diode circuits, and a signal converter circuit 17 for converting an envelope signal output from the stub circuit from a current signal to a voltage signal.
Potentials of Cow Dung Ash as Protectants of Cowpea Seeds against Callosobruchus maculatus F. (Coleoptera: Chrysomelidae)

Experiments were conducted to assess the protectant ability of cow dung ash (CDA) to cowpea seeds against Callosobruchus maculatus F. under laboratory conditions of 50-65% R.H and 28-32oC. The CDA at different rates of 0.625, 1.25, 2.50, 5.00, 10.00% (w/w) incorporated with cypermethrin powder at 0.625% were applied to 20 g of cowpea seeds in petri dishes. None of the ashes or cypermethrin was added to the control. Ten beetles were introduced into each of the petri dishes and covered with muslin cloth. The experiment was arranged in a completely randomized design (CRD) and replicated three times. Effects of the treatments on adult mortalities as well as median lethal dose (LD50) of CDA against C. maculatus were determined. Adult emergence and weight losses in seeds treated with CDA at different doses were assessed. Findings of the study revealed that the adult mortality of C. maculatus among different CDA treatments differed significantly (p < 0.05) and ranged from 13.33 to 100.00% 72 hours after treatment (HAT). Results of the study also showed that LD50 of CDA against C. maculatus at 24 hours after treatment (HAT) was 5.51 % (w/w). No adults emerged from the treated seeds and weight losses were observed in those treated with the lowest dose and the control only. Therefore, CDA could be utilized to protect cowpea seeds from C. maculatus infestations during storage.
Efficient Cloud Authentication Scheme using Single Sign-On Nature in Hands with Branca Strategy

The technological world is surround with Internet oriented services and its architecture is purely based on MultiServer Platform oriented as well as the security concerns are more important to deal with MultiServer platforms as like many web concerns to deal with (for example: Google, FaceBook and so on). All these concerns follow a strategy called Single-Sign On (SSO), in which it provides efficient solutions to deal the authentication issues based on token or key based scenarios. In this SSO based system, users have to sign into system by using authenticated username and password with one time and the remaining processes will be handled by using generated tokens. In the past system, there are several methodologies to associate with this Single-Sign On norm, but all are falling under certain problems and security issues. These all issues found because of using traditional security mechanisms such as key-hashing, data-hashing and so on. So, that a new technique is required to resolve these issues and provide an intelligent token generation scheme. In this paper, an efficient cloud oriented authentication security system is followed, which is based on Single-Sign On logic in association with latest and powerful token generation mechanism called Branca. Branca usually generates a token based on details provided by user and produces a secret key with current date/time as well as the key is tokenized by using encryption mechanism, which is called Authenticated Encrypted Token (AET). An Authenticated Encrypted Token creates a path to secure the message, which cannot be visible to the intruders/sniffers to alter or acquire it. The name Branca is formed to attract, which is for "IETF-XChaCha20-Poly1305-AEAD" type messages association-with additional version number and time-stamp. The name Branca is a best option for secure authentication mechanism by means of its authenticated-and-encrypted Application Programming
Use of volatile agents for sedation in the intensive care unit: A national survey in France

Background Current intensive care unit (ICU) sedation guidelines recommend strategies using non-benzodiazepine sedatives. This survey was undertaken to explore inhaled ICU sedation practice in France. Methods In this national survey, medical directors of French adult ICUs were contacted by phone or email between July and August 2019. ICU medical directors were questioned about the characteristics of their department, their knowledge on inhaled sedation, and practical aspects of inhaled sedation use in their department. Results Among the 374 ICUs contacted, 187 provided responses (50%). Most ICU directors (73%) knew about the use of inhaled ICU sedation and 21% used inhaled sedation in their unit, mostly with the Anaesthetic Conserving Device (AnaConDa, Sedana Medical). Most respondents had used volatile agents for sedation for <5 years (63%) and in <20 patients per year (75%), with their main indications being: failure of intravenous sedation, severe asthma or bronchial obstruction, and acute respiratory distress syndrome. Sevoflurane and isoflurane were mainly used (88% and 20%, respectively). The main reasons for not using inhaled ICU sedation were: “device not available” (40%), “lack of medical interest” (37%), “lack of familiarity or knowledge about the technique” (35%) and “elevated cost” (21%). Most respondents (80%) were overall satisfied with the use of inhaled sedation. Almost 75% stated that inhaled sedation was a seducing alternative to intravenous sedation. Conclusion This survey highlights the widespread knowledge about inhaled ICU sedation in France but shows its limited use to date. Differences in education and knowledge, as well as the recent and relatively scarce literature on the use of volatile agents in the ICU, might explain the diverse practices that were observed. The low rate of mild adverse effects, as perceived by respondents, and the users’ satisfaction, are promising for this potentially important tool for ICU sedation.