Miracle-dz/UniFAR-FTUs huggingface dataset:
Comparative Studies on Nanosulfur and Certain Fungicides to Control Cucumber Powdery Mildew Disease and their Residues in Treated Fruits

The present work was carried out to explore the potential use of the new approach of sulfur nanoparticles compared with bulk sulfur and two other systemic fungicides to control powdery mildew in cucumber. Also, the Fungicide residues in cucumber were estimated. Examination of physico-chemical properties of the tested nanoparticles was done by using transmission electron microscope and X-Ray diffraction, which proved that the tested sulfur was sulfur (S8) with the crystal system and its anorthic and size ranged from 12.2 to 23.5 nm. The three tested fungicides, Super sardo (azoxystrobin), Muringo (diniconazole), Thiofan (bulk sulfur) and Nanosulfur (Snp) were sprayed three times to cucumber growing in pots in a greenhouse. After 3 spray, the efficacy of the aforementioned tested fungicides was 74.0, 68.8, 42.7 and 60.9%, respectively. The area under disease progress curve (AUDPC) in case of azoxystribin, bulk sulfur and Snp increased after 1 and 2 sprays, but it decreased after 3 treatment. diniconazole recorded continues increase in disease area. Nanosulfur caused the highest number of fruits/plant, mean weight of fruits/plant and mean weight of one fruit and followed by azoxystribin and diniconazole, while bulk sulfur caused the lowest cucumber yield parameters. Assessment of residues of the four tested fungicides 2, 5 and 8 days after the third spray, showed that cucumber fruits can be collected two days after treatment with azoxystribin, bulk sulfur and Nanosulfur, while those treated with diniconazole can be harvested five days after spray.
Simplified Voxel Based Visualization

Voxel-based technology has already been present in the early years of computer visualization. However its usage was almost entirely conﬁned to the ﬁeld of medical image synthesis. Due to the continuous development of the CPU and graphics hardware, its role has increased again nowadays. It came to the fore especially in the ﬁeld of computer games because of its speciﬁc properties. This publication presents a simpliﬁed visualization model and optimization techniques, which are able to visualize smaller (perhaps animated) voxel sets in real-time with certain compromises. The objective of the solution is not to reach the level of photorealistic image synthesis, but a provide a well applicable and simple method which can be applied for computer games and other graphical applications
Stimulating Innovation on Social Product Development: An Analysis of Social Behaviors in Online Innovation Communities

With firms’ increasing adoption of social product development strategies, such as mass collaboration and crowdsourcing, online users are actively participating in the development of new products and services via social media platforms. Online innovation communities (OICs), one representative of such social media platforms, have been used by large firms to collect ideas from their users and facilitate the product development process. While it is extensively studied that product ideas with high popularity on OICs are of great importance to the product development, research on what social behaviors of online users lead to the high popularity is largely unclear. This article conducts an empirical study by collecting a large-scale, quantitative dataset from an OIC between 2014 and 2018. With the analysis of users’ online idea posting and commenting behaviors, our results reveal that the idea contribution experience, together with comment diversity, positively influence the overall popularity of an individual's ideas, while the motivation of providing comments is negatively related. Moreover, user's innovation capability poses a positive effect on both overall and average popularity of ideas. These findings can help firms better incentivise their users on OICs to improve the effectiveness and efficiency of social product development.
Study on the productivity in classroom (part 1) field survey on effects of air quality/thermal environment on learning performance

1 Keio University, 3-14-1, Hiyoshi, Kohoku-ku, Yokohama, Japan email: murakami@sd.keio. ac.jp http://www.murakami. sd.keio. ac.jp 2 Tokyo Polytechnic University, 1583 Atsugi, Kanagawa, Japan 3 Taisei Corporations, 344-1 Nase, Totsuka-ku, Yokohama, Japan Summary: Many research papers have been published on the potential effects of indoor environmental quality of in classrooms and offices on productivity. This paper (Part 1) gives an outline of the series of this study and reports the results of field measurements focusing on the effect of the air quality and thermal environments on learning efficiency, with differences in ventilation rate. It also evaluates the consistency between objective and subjective evaluations of learning efficiency.
Information, Communication, and Technology-Based English Instruction: An Ethnography Research

—The objective of the research is to understand comprehensively about the process of Information, Communication and Technology (ICT) based English Instruction at SMA Islam Nurul Fikri Boarding School in Banten Province. The research uses qualitative research with Ethnography design. The data of the research were collected through observation, interview, field notes, and document analysis. The data analyze based on Spradley’s terms such as domain analysis, taxonomic analysis, component analysis, and cultural theme analysis. The research findings show that (1) Curriculum and syllabus that are used by SMAI NFBS are National Curriculum (Curriculum 2013) and Jaringan Sekolah Islam Terpadu (JSIT) Curriculum, (2) The purposes of ICT based English instruction were to have communicative skill in order the students are able to communicate well by using English in spoken and written form; able to read and understand the English, and to continue to the next level of study, (3) Learning material uses several kinds such as printing based, audio, visual, audio visual, computer and multimedia, (4) The learning process is designed based on the syllabus of SMAI NFBS which integrated of two ability; functional and communication ability, (5) Approach, method, and technique in learning uses variatively according to the English material and students need, (6) The media uses as tool for learning English, SMAI NFBS is one school which provides and develops ICT based media for learning, (7) The roles of teacher were facilitator, motivator, creator/programmer, advisor, evaluator, learning partner, and model for the students, (8) The assessment of student’s competence was comprehensive and continuity assessment, means the assessment was conducted for all languages skills, before, during, and after the learning process.
Purification and Characterization of Three Extracellular Produced by <i>Pseudomonas fluorescens</i> INIA 745, an Isolate from Ewe's Milk

Three proteinases were isolated from culture medium of Pseudomonas fluorescens INIA 745 and purified to homogeneity by a combination of Phenyl-Sepharose, DEAE-Sepharose, and Sephadex G-100 chromatography. Optimal temperature for enzymatic activity was 458C for all three proteinases. The pH optimum of proteinases I and II was found to be 7.0, while that of proteinase III was 8.0. Divalent metal ions like Cu21, Co21, Zn21, Fe21, and Hg21 were inhibitory to proteinase activity while Ca21, Mg21, and Mn21 had little or no inhibitory effect. The three enzymes were strongly inhibited by EDTA and 1,10phenantroline and partially by cysteine. The three enzymes are metalloproteinases since they were inhibited by chelators and reactivated by Co21, Mn21, Cu21, and Zn21. The Km values of proteinases I, II, and III for casein were calculated to be 3.2, 2.6, and 5.2 mg/ml, respectively. Proteinases II and III rapidly degraded b-casein, with preference to as1-casein, whereas proteinase I hydrolyzed both casein fractions at a slow rate. Extracellular proteinases secreted by psychrotrophic bacteria, mostly Pseudomonas species, are well-known sources of spoilage in milk and dairy products. These enzymes cause development of gelation and off-flavor in milk, reducing its shelf life, and may be responsible for softening of the curd and yield losses during cheese manufacture (8, 14, 20). Proteinases produced by psychrotrophic bacteria can withstand pasteurization (728C for 15 s) and treatments at ultrahigh temperatures (1388C for 2 s), with important implications on the quality of milk and heat-treated dairy products (1, 5). Proteinases secreted by various P. fluorescens strains isolated from cow’s milk have been extensively studied (9). They generally have a molecular weight in the range of 40,000 to 50,000 Da, their temperature optima range from 30 to 458C, and in most cases they are extremely thermostable. All are metalloenzymes, occurring as monomers, with pH optima around 7 for neutral proteinases and from 8 to 10 for alkaline proteinases. P. fluorescens growth in ewe’s milk results in severe casein degradation and modification of rennet coagulum characteristics (19). However, information on proteinases of P. fluorescens strains isolated from ewe’s milk is lacking. The purpose of the present work was the purification and characterization of three proteinases produced by P. fluorescens INIA 745, an isolate from
WikiOlapBase: A collaborative tool for open data processing and integration

The technological advances have made data sharing and knowledge generation possible in several areas. In order to support information extraction and knowledge generation, several datasets have been made publicly available, giving rise to the concept of open data. However, while such data are available, the processing, visualization, and analysis of them by society, in general, can be considered difficult tasks. Data are available to a great volume, in different files and formats, making it difficult to cross-reference and analyze them to obtain relevant information without the support of appropriate tools. Inspired by this scenario, this paper presents WikiOlapBase, a collaborative tool capable of processing, integrating and making feasible the analysis of open data from different sources, even by people without technical knowledge. WikiOlapBase contributes to the expansion of open data analysis, since it favors a greater information sharing and knowledge dissemination.
Hypocholesterolaemic effect of probiotic yogurt enriched with barley β-glucan in rats fed on a high-cholesterol diet

BACKGROUND: Barley, which is rich in -glucans, is known to exhibit hypocholesterolemic effect. OBJECTIVE: The study aimed to investigate the hypocholesterolemic effect of yogurt containing barley -glucan (BBG) and probiotic bacteria in rats fed on a cholesterol-enriched diet. METHODS: The methodology was based on adding of 0.75% BBG to skim milk (SM) powder. Four treatments of yogurt were formulated, wherein the first treatment was produced from SM without the addition of BBG and fermented by yogurts starter (YS). The second treatment was produced from SM with the addition of 0.75% BBG, and fermented by YS. The third treatment was produced from SM without the addition of 0.75% BBG, and fermented by Bifidobacterium lactis plus Lactobacillus acidophilus. The fourth treatment was produced from SM with addition of 0.75% BBG, and fermented by Bifidobacterium lactis plus Lactobacillus acidophilus. All formulations were evaluated for their effect on plasma lipids, liver lipids, lipid peroxidation, and the fecal excretion of bile acids in rats. RESULTS: The results indicated that yogurt containing probiotic bacteria and BBG was more effective in lowering of plasma and liver cholesterol levels than other treatments. The fecal excretions of bile acids and lipid peroxidation were markedly promoted in yogurt formulated with BBG and probiotic bacteria compared with the positive control group. The results showed an inverse relationship between the fecal excretions of bile acids and the levels of total cholesterol in the plasma from rats fed on a high-cholesterol diet. ∗Corresponding author: Prof. Dr. Mohamed Fawzy Ramadan, Agricultural Biochemistry Department, Faculty of Agriculture, Zagazig University, Zagazig 44519, Egypt. Tel. : +2 055 2320282/055 2313940; Fax: +2 055 2287567/055 2345452; E-mail: hassanienmohamed@yahoo.com. ISSN 1973-798X/17/$35.00 © 2017 – IOS Press and the authors. All rights reserved A U TH O R C O P Y 2 R.M. Ahmed et al. / Hypocholesterolaemic effect of probiotic yogurt CONCLUSION: The inclusion of BBG and probiotic bacteria in the diet of rats fed on high-cholesterol diet had healthpromoting impacts on the levels of plasma and liver lipids. Yogurt with Bifidobacterium plus L. acidophilus and supplemented with BBG were effective in lowering the levels of cholesterol in plasma and liver lipids, while the excretion of bile acids in the feces was enhanced. These hypocholesterolemic effects of yogurt preparations containing BBG and probiotic bacteria could create an effective and economic contribution in treating hypercholesterolaemia.
Seamark, Daniel and Gabriel, Lynne ORCID: https://orcid.org/0000-0002-8144-090X (2016) Barriers to Support: A Qualitative Exploration into the Help-Seeking and Avoidance Factors of Young Adults. British Journal of Guidance

The current research explores young adults’ beliefs, awareness and understanding surrounding helpseeking behaviour in relation to barriers preventing access to counselling support. The literature suggests several barriers, such as a lack of awareness, stigma and gender roles, will have a negative influence on help-seeking. To complement and expand on the substantial body of quantitative, research on help-seeking, the present research undertook a qualitative, phenomenological study, in order to explore meaning and understanding in relation to help-seeking behaviours. The sample consisted of six college psychology students, who participated in one-to-one semi-structured interviews. Discourse analysis was used to analyse the interview transcripts. The results suggested gender roles, awareness and perception of help, social and cultural expectations/norms, and risk of stigma and rejection, as the significant barriers to help-seeking behaviour. It is suggested that future research could focus on how to reduce these barriers, thus improving help-seeking opportunities for young adults.
NORDFOOD Sanitation in dairies

The project started with an industry survey of commercial cleaning and sanitation agents used in the Nordic countries. Based on this survey a list of different types of priorized cleaning agents and disinfectants were included. The variation in testing procedures and scientific data acheived for these agents raised the motivation to prepare a harmonized testing procedure for agents used in the dairy industry. Parameters used in foam cleaning in open systems and cleaning-in-place (= CIP) procedures in closed systems were chosen to design the sanitation experiments in pilot scale. Disinfectant testing both in suspensions and on surfaces were included in the experiments. Traditional cultivation was selected as a routine method. The cu ltivation method assessed the viable bacteria, which were able to form colonies on agar. The staining procedure was developed and the swabbing technique using novel swabbing detergents was evaluated in pilot and process scale. The cultivation results in comparison to microscopy showed that sampling from a surface was improved when the swabs were moistened with a detergent solution containing surfactants or enzymes and abrasives. The image analysis of preparations stained with acridine orange assessed biofilm and soil left on the surface. The microscopical technique using DNA stains and metabolic indicators enabled the distinction of dead and viable cells left on the surfaces. Furthermore, methods such as impedance, contact agar, agar moulding and ATP were used in the assessments. The testing of six disinfectants selected by the dairy partners, Valio Ltd. and Norwegian Dairies, were performed using tests proposed by CEN (prEN 1040 and prEN 1276). The microbes used were standard test organisms as well as spoilage bacteria, pathogens and spores of concern in dairies. The prEN 1040 did not differentiate between the six disinfectants, whereas high levels of interfering substances e.g. skimmed milk and hard water used in prEN 1276 reduced the efficiency of the majority of the disinfectants to variable degrees. Staphylococcus aureus and Pseudomonas aeruginosa were the most resistant to all disinfectants tested. Salmonella infantis was the most difficult to kill of the four ”industrial” strains. Spores of Bacillus cereus and Bacillus thuringiensis were reduced by less than 1 log unit in the suspension test. The testing of disinfectants using 80% of the lowest recommended concentrations of the agents differentiated well between their
Macro Uncertainty and Unemployment Risk

This paper illustrates how households’ heterogeneity is crucial for the propagation of uncertainty shocks. We empirically show that an uncertainty shock generates a drop in aggregate consumption, job finding rate, and inflation: the aggregate consumption response is mainly driven by the consumption response of the bottom 60% of the income distribution. A heterogeneous-agent New Keynesian model with search and matching frictions and Calvo pricing rationalizes our findings. Uncertainty shocks induce households’ precautionary saving and firms’ precautionary pricing behaviors, triggering a fall in aggregate demand and supply. The two precautionary behaviors increase the unemployment risk of the imperfectly insured, who strengthen their precautionary saving behavior. When the feedback loop between unemployment risk and precautionary saving is strong enough, a rise in uncertainty leads to a decrease in inflation. Contrary to standard representative agent New Keynesian models, our model qualitatively and quantitatively matches the empirical evidence on uncertainty shock propagation.
An Analysis of Uniqlo’s Management Philosophy and Its Enlightenment to China’s Fast Fashion Brands

This article mainly studies the internationalization process of the Uniqlo, a fast-fashion brand of Japan Fast Retailing Group, and summarizes its successful experience in product positioning, strategic positioning, SPA business model, and Internet plus marketing and etc, at the same time, it analyses the weaknesses of Chinese fast fashion brands. In order to improve their international competitiveness, these brands must do the following: attaching importance to product R & D and design, strictly controlling product quality, strengthening self-brand building, improving supply chain management system, expanding sales channels and establishing Customer Service Center and so on.
Designing the Special Pilot Economic Zone: An Alternative Approach to Revitalize Livelihoods on Peatlands

Peatland restoration projects in tropical countries could prevent environmental disasters such as peat fires. In Indonesia, one of peatland restoration activities is the revitalization of the livelihoods of communities around peatlands. Nevertheless, this activity is still lacking in reducing the environmental pressures from the communities on peatland. We aim to find a comprehensive strategy to design a sustainable bioeconomy on peatlands. This study draws on spatial, qualitative, and quantitative data from the literature, project and policy documents, open-source web application, observations from the field and meetings; and interviews with key stakeholders at national level and three Indonesian provinces. We found that an ecosystem-based special pilot economic zone (SPEZ) is a potential proposal that can provide a framework for a sustainable peatland bioeconomy. We suggests seven phases for planning and implementation of the SPEZ; 1. Preparing its spatial planning to support its legal aspects; 2. Field observation to derive biophysical information of the location and determining peatland suitability; 3. Identifying target group, paludiculture commodities and alternative livelihoods; 4. Analyzing the value chain, market demand and conducting a cost-benefit analysis; 5. Natural capital accounting; 6. Designing social innovation to trigger investment and market chain; and 7. Community engagement. From our study in Riau, South Sumatra, and Central Kalimantan, each of the phase present different challenges and opportunities especially in terms of regulation for land permit, institutional arrangement, market chain for peat products, remuneration of external benefits, and perception and capacity of community for cultivation on peat.
Learning a Motion Policy to Navigate Environments with Structured Uncertainty

Navigating in uncertain environments is a fundamental ability that robots must have in many applications such as moving goods in a warehouse or transporting materials in a hospital. While much work has been done on navigation that reacts to unexpected obstacles, there is a lack of research in learning to predict where obstacles may appear based on historical data and utilizing those predictions to form better plans for navigation. This may increase the efficiency of a robot that has been working in the same environment for a long period of time. This thesis first introduces the Learned Reactive Planning Problem (LRPP) that formalizes the above problem and then proposes a method to capture past obstacle information and their correlations. We introduce an algorithm that uses this information to make predictions about the environment and forms a plan for future navigation. The plan balances exploiting obstacle correlations (ie. observing obstacle A is present means obstacle B is present as well) and moving towards the goal. Our experiments in an idealized simulation show promising results of the robot outperforming a commonly used optimistic algorithm. Second, we introduce the Learn a Motion Policy (LAMP) framework that can be added to navigation stacks on real robots. This framework aims to move the problem of predicting and navigating through uncertainties from idealized simulations to realistic settings. Our simulation results in Gazebo and experiments on a real robot show that the LAMP framework has potential to improve upon existing navigation stacks as it confirms the results from the idealized simulation, while also highlighting challenges that still need to be addressed.