Miracle-dz/UniFAR-FTUs huggingface dataset:
Prediction for Dengue Fever in Indonesia Using Neural Network and Regression Method

Dengue fever is the most hurriedly diffused mosquito-borne viral disease in the world. More than 33% of the total population in the world is under risk. Currently the prediction of dengue can save a person ‘s life by alerting them to take proper diagnosis and care. The Objectives of this research is (1) To Predict The area with the most potential to suspend dengue fever In Indonesia, And (2) to Predict dengue fever cases. (3). To analyz how many percent the effect factor of dengue fever. There are many ways to predict one of them is Regression and Deep learning Approach. Reseacher tried to analyz the most accurate such as Regression Multyplied, Neural Network, and Sensitivity Analysis. Set of data have been used is timeseries from 1997—2017. The Variable has been used for this research is Humadity, Temperature, Wind, Airpressure, Rainfall Index, income, sunlight, Population density, and output is cases. The Result of this research is first The area with the most potential to suspend Dengue fever In Indonesia 2019 is Jambi, Lampung, Bangka Belitung, West Sumatera, Central java with average Accuracy 87,16%. The Prediction dengue fever cases 2019 is 80233 Cases with accuracy 87,16%. The Third All variable ( X1 s.d X8) have been to effect to Partial and Simultaneous to (Y) in the amount of 0.16 (16 % ) with a significance level of 0.001 (99%). While the remaining 100% - 16% = 84% is influenced by other variables outside of this research.
Adaptation to climate change in agriculture: ecosystem based options

Climate change induced great challenges for agriculture, particularly implementation of new farming practices. Adaptation to climate change requires sustainable and environmentally friendly farm-level management practices and methods, and most promising of them are offered by an ecosystem approach and agroecological principles. The paper presents the results of the research, which has twofold aim: 1) to determine the most promising ecosystem based adaptation measures to climate change for Latvia’s crop farms via evaluating recommendations; 2) to evaluate the implementation and possibilities of adaptation measures via assessing trends in Latvia, as well as comparing status among the countries in the Baltic Sea region. The data was obtained from the EU and national statistical database. The mixed research, combining suitable qualitative and quantitative research methods, was used. Most promising adaptation measures to climate change for implementation in the Latvia’s crop farms could be combination of conservation agriculture practices (i.e. minimum soil disturbance, crop diversification, and permanent soil cover) with agroecological farm management practices. The results show that in Latvia, with the exception in the organic agriculture sector, in particular in the organic farming, the above mentioned climate adaptation measures at farm level have not yet been introduced and implemented sufficiently and effectively, especially compared to other EU countries in the Baltic Sea region.
Design And Evaluation Of Mucoadhesive Controlled Release Oral Tablets Of Glipizide

Matrix tablets of glipizide were formulated using two mucoadhesive polymers namely sodium carboxymethylcellulose and hydroxypropylmethylcellulose and with and without ethylcellulose and the tablets were evaluated. Tablets formulated employing sodium carboxymethylcellulose or hydroxypropylmethylcellulose and with ethylcellulose provided slow release of glipizide over a period of 12 h and were found suitable for maintenance portion of oral controlled release tablets. Glipizlde release from these tablets was diffusion controlled and followed zero order kinetics after a lag time of 1 h and up t o 90 per cent release. The matrix tablets exhibited good mucoadhesion in the small intestine for 10 h as evaluated by X-ray studies. Two layered tablet formulations, designed with an immediately releasing layer consisting of glipizide and a super disintegrant (Ac-Di-Sol) and a slow releasing matrix consisting of glipizide in sodium carboxymethylcellulose or hydroxypropylmethylcellulose and ethylcellulose as second layer, gave release close to the theoretical sustained release needed for glipizide based on its pharmacokinetic parameters.
The relationship between womens reproductive factors and household socio-economic status: A case of Morogoro district, Tanzania

Women’s poor socio-economic status (SES) is linked to multiple contributing factors, most of which are related to performing multiple roles that include family, childcare and reproductive responsibilities in general. However, the relationship between women’s reproductive factors and household SES remains uncertain. This study explored the association between selected reproductive factors and households’ SES among rural households with women of reproductive age. A cross-sectional study, involving six randomly selected villages from three wards of Morogoro district, Tanzania, was used. A total of 542 participants consisting of women from male and female-headed households were involved in the study. Data analyses were performed using the IBM SPSS® software. Ordinal logistic regression model was used to estimate the relationship of the study variables. The number of children a woman wished to have had negative association with SES, whereby wishing to have more than 5 children was associated with less likelihood to attain the higher SES. The mean age at first pregnancy was 18.5 years, with 56.5% of the participants becoming pregnant for the first time at age 18 or below, which indicates predominance of teenage pregnancies. The age at first pregnancy had significant and positive relationship with SES, whereby being pregnant at the age of more than 18 years increases the chance of attaining a higher SES. In conclusion, teenage pregnancies and the desire for relatively many children (>5) constrain the attainment of higher SES. The study recommends strengthening reproductive health education particularly family planning and advocacy on teenage pregnancies in rural communities. Key words: Women, socio-economic status, reproductive factors, rural, Tanzania.
Survey and molecular characterization of Hop stunt viroid (HSVd) sequence variants from citrus groves in Morocco

Viroids are the smallest known pathogens of plants. They are single-stranded, circular, rod-like RNAs with no protein capsid no any detectable messenger activity. Citrus is one of the most important commercial fruit crops grown in Morocco. Seven viroids reported to infect Citrus spp. belong to four genera of the family Pospiviroidae. Hop stunt viroid (HSVd) belongs to genus Hostuviroid and consists of a 295-303 nucleotides circular single-stranded RNA. It has been found in a wide range of hosts including several woody and herbaceous crops. Cachexia, an economically important disease of citrus, has been associated with HSVd infection. HSVd isolates are divided into five phylogenetic groups according to the sequence variants: plum-type, hop-type, citrus-type, plum-citrus-type and plum-hop-citrus-type. In this work we present the molecular characterization of six new sequence variants of HSVd obtained from the main Moroccan citrus growing areas: Gharb, Haouz, Loukkos, Moulouya, Souss and Tadla, respectively. The genetic diversity among the Moroccan variants was investigated. Phylogenetic analysis showed that Moroccan citrus HSVd variants were clustered into one group within the citrus-type and the sequence variability seems neither related to the host nor to symptomatology. Despite an accumulation of nucleotide changes, the secondary structure of the viroid mol­ecule was conserved. Since citrus viroids are readily mechanically transmissible via working tools, they affect both old and young plantings in all the citrus groves surveyed. Keywords: Hop stund viroid, Survey, Molecular characterization, Morocco
Predictor Analysis for Electricity Price Forecasting by Multiple Linear Regression

This paper examines the multiple linear regression method on electricity price forecasting. Numerous predictors are analyzed to reduce the mean absolute percentage error. The training data includes the dates from September 2018 to September 2019 from the day-ahead electricity market in Turkey. It is proved that the lagged electricity prices such as the previous one day, one week, and lagged moving average prices play a key role in electricity price estimation. Aside from other valuable coefficients, natural gas, oil, and coal prices are tested in the forecasting model. The error rates of the fuel prices are noticeably shrunk by using multiple linear regression that generates more accurate results and crucial variables influencing hourly electricity price has determined. Different training data length is an essential part of decreasing the error proportions in the electricity price estimation. Also, it is analyzed that there is no dramatic difference regarding the error rates if it is compared to the regular regression method and dynamic regression model in the forecast of electricity prices.
HEIGHT-DIAMETER RELATIONSHIPS FOR Eucalyptus grandis HILL EX. MAIDEN IN MOZAMBIQUE: USING MIXED-EFFECTS MODELING APPROACH

mixed-effects The perspective is to increase accuracy, practicality, precision of height estimations and decrease of sampling effort in forest inventories in Mozambique ABSTRACT Equations express that height-diameter relationships are used to estimate tree heights that were not measured in the plots, as well as to calculate their volumes. In this study, we modelled height for Eucalyptus grandis Hill ex. Maiden stands using nonlinear mixed effect models
Classification of Unmanned Aerial vehicles: A Mirror Review

It is essential for future cellular networks to allow vehicles to connect with other cars, infrastructure, pedestrians and everything for use, such as road safety, autonomous driving and infotainment. The deployment of multiple small-Unmanned Aerial Vehicles (UAVs) in various applications has gained considerable attention from researchers and business organizations. Usage of Unmanned Aerial vehicles (UAVs) is increasing rapidly through many civil applications, including real-time control, medical emergencies, surveillance and protection. In this article a detailed UAVs classification is described according to their operations. Various challenges, issues, features, research insights and future trends are mentioned in a detailed manner.
Industrial bees: when agricultural intensification doesn’t impact local disease prevalence

Although it is generally thought that the intensification of farming will result in higher disease prevalences there is little specific modelling testing this idea. We build multi-colony models to inform how ‘apicultural intensification’ is predicted to impact honeybee pathogen epidemiology at the apiary scale. Counter to the prevailing view, our models predict that intensification, captured though increased population sizes, changes in population network structure, and increased between-colony transmission, is likely to have little effect on disease prevalence within an apiary. The greatest impacts of intensification are found for diseases with relatively low R0 (basic reproduction number), however, such diseases cause little overall disease prevalence and therefore the impacts of intensification are minor. Furthermore, the smallest impacts of intensification are found for diseases with high R0 values, which we argue are typical of important honeybee diseases. Policy Implications: Our findings highlight a lack of support for the hypothesis that current and ongoing intensification leads to notably higher disease prevalences. More broadly, our work demonstrates the need for informative models of agricultural systems and management practices in order to understand the implications of management changes on diseases.
Improved Gradient Projection Algorithm for Deblurred Image Application

For the purpose of reducing the noise of deblurred image, an improved Gradient Projection method by sparse coding Reconstruction (GPSR) algorithm is proposed. Different with the traditional Gradient Projection method for sparse reconstruction code (GPSR) method, the obvious distinctions between the original image and deblurred image are projected onto dimensional projection image value. Thus the picture noise are deleted. The classical Gradient Sparse Projection computing method, searching direction changes time by time. Now we propose the new method by running with fix step. The constraints of searching method is guarantee. We prove the new computing method in theory, and at the same time, we running the method by classical picture. We compare the running results of classic method and the fix step hunt method (FXHM), the running results of two methods are shown in the article, the performance of fix step hunt method (FXHM) is higher than the classic method as possible as it can.
Study of resonant-tunneling diodes I-V curves kinetics under destabilizing factors influence

Resonant-tunneling diodes (RTD) are prospective EHF and UHF electronics elements. Using RTDs as radio frequency converter’s nonlinear element would allow to improve converter’s performance indices and extend its frequency range up to THz. The purpose of research is investigating kinetics of the RTD’s I-V curve under given operating conditions, such as high temperature and ionizing radiation’s influence. For this case, special mathematical models are submitted. These models describe RTD I-V curves’s degradation under high temperature and ionizing radiation’s influence. Basing on described models a program package allowing to simulated RTD I-V curves’s kinetics under listed factors’ influence was developed. Results’ adequacy is verified by comparison with experimental data.
Proposal of a new brown algal species, Mesogloia japonica sp. nov. (Chordariaceae, Phaeophyceae), and transfer of Sauvageaugloia ikomae to Mesogloia

ABSTRACT A molecular phylogeny using mitochondrial cox1 and cox3 and chloroplast atpB, psaA, psbA and rbcL gene sequences revealed that the Japanese endemic brown alga Sauvageaugloia ikomae (Ectocarpales s.l.) is phylogenetically distant from the generitype S. divaricata described from Europe. It also suggests the occurrence of an undescribed species in the Seto Inland Sea and the Pacific coast of the Tohoku Region; whereas, S. ikomae is distributed in the Sea of Japan. The new species is genetically distinct from S. ikomae and is morphologically distinguishable in having thicker erect thalli with a more developed subcortical layer. In the phylogeny, the clade of Japanese Sauvageaugloia was sister to Mesogloia, both nesting in the clade of Cladosiphon species. Because ectocarpalean taxa are considered to be oversplit at generic rank compared to genetic divergence within the order, we refrain from describing a new genus for S. ikomae and the new species and instead suggest placing them in Mesogloia. We therefore propose the establishment of the new species Mesogloia japonica and a new combination M. ikomae. We also propose including Liebmannia leveillei in the genetically indistinguishable Mesogloia vermiculata.
SMAP: exploiting high-throughput sequencing data of patient derived xenografts

Background Patient-derived xenograft is the model of reference in oncology fordrug response analyses. Xenografts samples have the specificity to be composedof cells from both the graft and the host species. Sequencing analysis ofxenograft samples therefore requires specific processing methods to properlyreconstruct genomic profiles of both the host and graft compartments. Results We propose a novel xenograft sequencing process pipeline termedSMAP for Simultaneous mapping. SMAP integrates the distinction of host andgraft sequencing reads to the mapping process by simultaneously aligning to bothgenome references. We show that SMAP increases accuracy of species-assignmentwhile reducing the number of discarded ambiguous reads compared to otherexisting methods. Moreover, SMAP includes a module called SMAP-fuz toimprove the detection of chimeric transcript fusion in xenograft RNAseq data. Finally, we apply SMAP on a real dataset and show the relevance of pathway andcell population analysis of the tumoral and stromal compartments. Conclusions In high-throughput sequencing analysis of xenografts, our resultsshow that: i. the use of ad hoc sequence processing methods is essential, ii. highsequence homology does not introduce a significant bias when proper methodsare used and iii. the detection of fusion transcripts can be improved using ourapproach. SMAP is available on GitHub: cit-bioinfo.github. io/SMAP.
Design of Distributed Environment Monitoring Management System from The Perspective of “Trust”

Pick to: in view of the city noise pollution monitoring method of the single, tamper with the problems such as low efficiency and environmental monitoring data, based on the concept of intelligent city innovation thinking of urban environmental regulation, through the block chain technology in the “wisdom” environmental protection system for analysis, clear target of urban environment health supervision agreement mechanism demand, based on the analysis of environmental monitoring business block chain design train of thought, on the basis of block chain technology of urban environmental noise distributed monitoring as an example, based on the technology of block chain distributed noise monitoring procedures and processes, to explore the applications on the “wisdom” environmental protection system and draw inspiration.
Mediating Role of Competitive Advantage on Organisational Resources and Performance in Telecommunication Industries in Kenya

An Industry’s performance is a function of how well managers strive to gain competitive advantage by building the organizational resources within their reach. Resource Based View regards a firm’s specific resources as the fundamental source of superior performance. Resources must be valuable, rare, inimitable, and lack of substitutes to give competitive advantage and hence superior performance. Empirical studies indicate that the telecommunication industry has been dominated by one player for the last six years. Despite strategies and effort of other players such as lowering tariffs, coming up with cheaper money transfer, other attractive offers like free calls and messages, they have not managed to get a competitive edge leading to one company continuing to dominate the market. For this reason, homogeneity in performance for the companies operating in similar competitive conditions and industrial environment has not been explained. This study examined the mediating role of competitive advantage on organizational resources and performance of telecommunication industries in Kenya. To achieve the objectives, the study used a combination of explanatory design and descriptive survey research design, specifically cross sectional design. The target population consisted of 381 respondents and the sample size was 170 respondents from the telecommunication industries in Kenya. The research adopted stratified random sampling technique. The study used mainly primary data which was collected using self-administered questionnaires. Data was analyzed using descriptive and inferential statistics. Descriptive statistics was used to summarize data while inferential statistics, specifically multiple linear regression was used to test hypotheses. The analysis used strata statistical package version 11.0 to aid data analysis. The results were presented using tables. Competitive advantage had a partial mediating effect on the influence of organizational resources on performance. Finally, the study recommended that further research be done by replicating the same study in other companies or industries like banks.
Can public debt harm social development? Evidence from the Asian-Pacific region

This paper aims to investigate the effect of public debt on some social development indicators with a sample including 17 developing and emerging countries in the Asia-Pacific region over the period of 1980-2018. The panel regression method is applied with both fixed-effects and randomeffects models. Our study finds that public debt has a negative impact on some main social development indicators of the economies. More specifically, public debt has a negative and significant effect on the growth rate of GDP per capita. Public debt also has a negative impact on domestic investment, however, the coefficients are not statistically significant. Besides, public debt has a positive and significant impact on the poverty rate. Although public debt has a negative impact on inequality, it seems that all income groups are poorer, so the reduction of inequality (denoted by the Gini index) is understandable. Finally, the panel Granger causal test points out that high rate of poverty seems to be a good reason to persuade governments to borrow more in the future. Following our result, policy makers need to be more careful when they use public debt as a common tool to support economic activities in the future.
Contamination of sesame seed grown in Mississippi with aflatoxin, fumonisin, and mycotoxin-producing fungi

Four sesame varieties (S-34, S-35, S-38, and S-39) were planted in the Mississippi Delta in 2014 and 2015 at four nitrogen fertiliser application rates from 44.8 to 112 kg N/ha, and evaluated for grain yield and contamination by mycotoxins and toxigenic fungi. Variety S-35 had the highest yield in both years. Harvest seed moisture was not related to variety, because opposite results were obtained in the two years. N fertiliser application rate had no effect on yield or mycotoxin contamination of harvested seed in 2014, but significantly increased yield in 2015. Harvested sesame seed density was influenced by treatments (N rates and variety) with varietal differences occurring in the different years. While observed differences were small, even small differences could impact marketability. There was no significant effect of N fertiliser application rate, variety, crop year or interaction between them for contamination of harvested seed by aflatoxins, fumonisins, Aspergillus flavus or Fusarium verticillioides in cleaned and uncleaned harvested sesame seed. Similar results were obtained from trials conducted in the Florida Panhandle during 2015. In general, sesame seed is not susceptible to aflatoxin and fumonisin contamination. None of the mycotoxin levels observed in this study were significant in regard to human or animal health, but further testing is needed. This is the first report of fumonisin found in sesame seed. The results of this study indicate that sesame seed is a safe crop for growers and consumers.
Neighborhood Walkability and Crime: Does the Relationship Vary by Crime Type?

We draw on theoretical insights from criminology in using the Walk Score index to analyze walkability’s relationship to spatial crime patterns on Los Angeles city blocks. Results from our first set of negative binomial regression models show that walkability had an especially strong linear effect on robbery rates: a 24% increase in the robbery rate accompanied a 10-point increase in Walk Score on a block, controlling for the effects of local businesses and sociodemographic characteristics. Our second set of models reveals that walkability exerted variable nonlinear influences on spatial crime patterns. Our final set of models suggests that the walkability–crime relationship might depend on neighborhood social organization: When walkability is high, low-income blocks might experience sharp rises in rates of predatory violence as compared with more advantaged blocks. This research highlights the importance of considering the mechanisms involved in walkability’s impact on the spatial distribution of individual crime types.