Miracle-dz/UniFAR-FTUs huggingface dataset:
Land-use changes and slope positions impact on the degradation of soil functions in nutrient stock within the Kalikungkuk micro watershed, East Java, Indonesia

Degradation of soil functions in storing and cycling nutrients may be related to topography and land-use change. The research aimed to analyze the impact of land-use changes and slope positions on soil function in nutrient stock within Kalikungkuk micro watershed of East Java, Indonesia. Four different land-uses such as vegetable crops, agroforestry, shrub and forest were selected with three slope positions (e.g. ridge, slope, and valley), and three replications of each. Soil samples were collected at 0-10, 10-30, 30-50, and 50-100 cm depth of soil. Variables measured included soil properties (e.g. bulk density, soil texture, pH, CEC, soil nutrients). Slope positions impact on differences in soil physical (i.e. soil bulk density, soil texture) and chemical (i.e. total N, exchangeable K) properties. In addition, forest conversion to other land-uses (i.e. agroforestry, shrub, vegetable crops) decreased soil nutrient concentration (i.e. total C, total N, Ca, Mg, Na), and consequently resulted in degradation of soil nutrient stocks of especially C and N. The strong positive correlation between soil nutrient stock (e.g. C and N) and vegetation cover such as canopy cover, basal area, and litter (r = 0.63 – 0.78, r table 1% = 0.39) showed the benefit of biodiversity in maintaining soil function on the nutrient stock.
Analysis of electric field intensity and temperature distribution with various permittivity in supercapacitor by 3-D FEM

This paper presents a simulation of electric potential distribution, electric field intensity and temperature in the spiral wound supercapacitor. The paper simulation using the 3-D finite element method that all coded by MATLAB program and show the graphical representation for electric potential, the electric field intensity and temperature of inner part for a supercapacitor and studies the permittivity of the electrolyte that affect the electric field intensity and temperature of supercapacitor. The simulation results show an electric field intensity and temperature of the inner part with various electrolytes including KOH and sodium iodide in various solvents electrolyte. Solvents of sodium iodide consist of CH3OH, (CH3)2SO, HCONH3 and HCONHCH3 that have different relative permittivity. It can indicate to the working process of supercapacitor.
A Succinct Analysis for Deep Learning in Deep Vision and its Applications

Introduction: Deep learning methodologies can achieve forefront results on testing deep vision issues, for instance, picture portrayal, object area, face affirmation, Natural Language Processing, Visual Data Processing and online life examination. Con-vNet, Stochastic Hopfield network with hidden units, generative graphical model and sort of artificial neural network castoff to absorb competent information coding in an unproven way are deep learning plans used in deep vision issues. Objection: This paper gives a succinct survey of without a doubt the most critical Deep learning structures. Deep vision assignments, for instance, object revelation, face affirmation, Natural Language Processing, Visual Data Processing, web-based life examination and their utilization of this task are discussed with a short record of the historic structure, central focuses and impairments. Future headings in arranging Deep learning structures for Deep vision issues and the troubles included are analysed. Method: This paper consists of surveys. In Section two, Deep Learning Approaches and Changes are audited. In section three, we tend to portray the uses of Applications of deep learning in deep vision. In Section four, Deep learning challenges and directions are mentioned. At long last, Section five completes the paper with an outline of the results. Conclusion: Though deep learning can recall a huge proportion of data and info, it’s feeble cognitive and perception of the data makes it a disclosure answer for certain applications. Deep learning despite everything encounters issues in showing various erratic facts modalities at the equal period. Multimodal profound learning is an extra notable heading in progressing deep learning research.
University of Southern Denmark Factors associated with a cervical high-grade lesion on cytology or a positive visual inspection with acetic acid among more than 3300 Tanzanian women Baldur-Felskov,

Objectives: Cervical cancer screening by visual inspection with acetic acid (VIA) is a widely used alternative to cytology in developing countries. This study aimed to evaluate risk factors associated with a positive VIA test and with cervical high-grade lesions on cytology. Methods: We conducted a large cross-sectional study among 3,339 women from urban and rural Tanzania. Study participants were interviewed about socio-demographic, reproductive and lifestyle factors. Blood samples were tested for HIV, and a gynecological examination was performed. Human papillomavirus (HPV) status was determined by Hybrid Capture 2, and HPV genotyping was done A cc ep te d A rt ic le This article is protected by copyright. All rights reserved. using the LiPA Extra test. We used multivariable logistic regression to estimate adjusted odds ratios (ORs) and confidence intervals (CIs). Results: The strongest risk factors for VIA positivity were positivity to HIV (OR = 3.48; 95% CI: 2.345.17) or to high-risk HPV (HrHPV) (OR = 1.97; 95% CI: 1.37-2.85). HrHPV was by far the strongest predictor of high-grade cytology (OR = 110.1; 95% CI: 50.4-240.4), while there was no significant association with HIV in the multivariable analysis (OR = 1.27; 95% CI: 0.78-2.08). After adjustment for HrHPV, HIV and age, the risk of high-grade cytology also increased with increasing age, number of births and low body mass index (BMI), while high BMI decreased the risk of VIA positivity. Conclusions: Infection with HrHPV is a major risk factor for high-grade cytology, while VIA positivity is associated with HIV and to a lesser extent with HrHPV.
framework to generate virtual cities as sandboxes for land use-transport interaction models

One of the major critiques of land use-transport interaction (LUTI) models over the ages has been their over-dependence on individualized software and context. In an effort to address some of these concerns, this study proposes a framework to construct "virtual cities" that can act as sandboxes for testing different features of a LUTI model, as well as provide the capability to compare different LUTI models. We develop an approach to translate any prototypical transportation infrastructure network into a plausible land use zoning plan and synthetic population that are suitable for spatially detailed LUTI microsimulation of the virtual city. Disaggregate units of spatial geometry, like parcels and post codes, are generated using geospatial techniques applied to the transportation network. Households and jobs are randomly sampled from an actual city, and allocated in the virtual city based on matching density gradients. Students are matched with schools and workers are matched with jobs to complete the calibration of a synthetic population for the virtual city. Following the adjustment of behavioral models to complement the reduced scale of the virtual city, we demonstrate the integration between the land use and transportation simulation components in our LUTI model, SimMobility. The benefits of faster convergence times and shorter simulation times are clearly demonstrated through this exercise. We hope that this study, and the open-source releases of the SimMobility software with the virtual city database, can accelerate experimentation with LUTI models and aid the transition from individualized LUTI models to a common shared integrated urban modeling platform.
A Study of Object Transparency Via Charge-Coupled Device Mathematical Modelling Assessment

This research discusses an application of Couple-Charge Device (CCD) linear sensor and laser diode in an optical tomography (OPT) system. Tomography is a system that could capture a cross-sectional image based on sensor data scattered across the periphery of the examining device in the non-invasive and non-intrusive framework. This project focuses on quantifying the level of object transparency based on CCD and mathematical modelling assessment. The objective of this project is to investigate the light refraction, reflection and absorption effect on object transparency. The study will include a discussion on the light parameters and its mathematical expression. The voltage output measured by CCD defines the degree of intensity of light obtained after penetrating through different object transparency. In conclusion, this research has successfully proved the potential of CCD in OPT configuration to detect different size diameters of a targeted transparent object, which is an air bubble in non-flowing crystal-clear liquid.
Model Arrhenius untuk Pendugaan Laju Respirasi Brokoli Terolah Minimal

Abstract Minimally processed broccoli are perishable product because it still has some metabolism process during the storage period. One of the metabolism process is respiration. Respiration rate is varied depend on the commodity and storage temperature. The purpose of this research are: to review the respiration pattern of minimally processed broccoli during storage period, to study the effect of storage temperature to respiration rate, and to review the correlation between respiration rate and temperature based on Arrhenius model. Broccoli from farming organization “Agro Segar” was processed minimally and then measure the respiration rate. Closed system method is used to measure O2 and CO2 concentration. Minimally processed broccoli is stored at a temperature of 0oC, 5oC, 10oC and 15oC. The experimental design used was completely randomized design of the factors to analyze the rate of respiration. The result shows that broccoli is a climacteric vegetable. It is indicated by the increasing of O2 consumption and CO2 production during senescence phase. The respiration rate increase as high as the increasing of temperature storage. Models Arrhenius can describe correlation between respiration rate and temperature with R2= 0.953-0.947. The constant value of activation energy (Eai) and pre-exponential factor (Roi) from Arrhenius model can be used to predict the respiration rate of minimally processed broccoli in every storage temperature Abstrak Brokoli terolah minimal merupakan produk yang mudah rusak (perishable). Hal tersebut terjadi karena jaringan tumbuhan masih melakukan kegiatan metabolisme selama penyimpanan. Salah satu proses metabolisme yang terjadi adalah respirasi. Besarnya laju respirasi bervariasi tergantung jenis komoditi dan sangat dipengaruhi oleh suhu penyimpanan. Penelitian ini bertujuan mengkaji pola respirasi brokoli terolah minimal selama penyimpanan, mengkaji pengaruh suhu terhadap laju respirasi dan menganalisis hubungan laju respirasi dengan suhu penyimpanan berdasarkan model Arrhenius. Brokoli yang diperoleh dari kelompok tani “Agro Segar” diolah secara minimal untuk kemudian diukur laju respirasinya. Metode sistem tertutup digunakan untuk mengukur konsentrasi O2 dan CO2. Brokoli terolah minimal disimpan pada suhu 0oC, 5oC, 10oC, dan 15oC. Rancangan percobaan yang digunakan adalah rancangan acak lengkap dengan 4 taraf perlakuan. Hasil penelitian menunjukan brokoli merupakan jenis sayuran klimaterik yang ditandai dengan adanya peningkatan konsumsi O2 dan produksi CO2 pada fase pelayuan. Laju respirasi meningkat seiring dengan meningkatnya suhu penyimpanan. Hubungan laju respirasi dengan suhu penyimpanan terbukti dapat dijelaskan menggunakan model Arrhenius yang memiliki nilai R2 = 0.953-0.947. Nilai konstanta energi aktivasi (Eai) dan faktor preeksponensial (Roi) dari model Arrhenius dapat digunakan untuk memprediksi laju respirasi brokoli terolah minimal pada setiap suhu penyimpanan. Diterima: 22 Desember 2015; Disetujui: 25 Maret 2016.
RAPESEED STUBBLE AS A RESOURCE FOR BIOENERGY AND BIOREFINERIES. EFFECT OF GENOTYPE AND CULTIVATION CONDITIONS ON CHAFF AND STALK BIOMASS AND QUALITY

The abundance and low price of the residual biomass of extensive crops makes them an attractive raw material for bioenergy and biorefineries. Residual biomass (stubble) is made up of biomass from different organs and may differ in its chemical composition. In rapeseed, the stubble is made up of the stalks and the pericarp of the siliques (chaff) and their characteristics have not been analyzed separately up to the present. Thus, it is impossible to determine the possible best uses for each fraction of the stubble based on its composition. This work aims to evaluate the quantity and composition of stalks and chaff biomass of 13 rapeseed genotypes in a variety of growing conditions, to test the following hypotheses: 1) the amount of stubble biomass per area is higly variable and cannot be estimated from grain yield, 2) the stubble-to-grain and the chaff-to-stalk ratios change with genotype and growth conditions, 3) the chemical composition of chaff and stalk is different, which justifies a separate use. The stubble biomass was between 2-6 t ha-1 according to genotype and cultivation conditions. The chaff-stalk ratio was not stable and ranged from 0.8-2.2. The stalk biomass is better to produce energy, due to its high caloric power (17-18 MJ kg-1) and low ash content (6%), while chaff have less cellulose (<38%) and lignin (<13%) and have a higher ash content (5-14%), being more suitable for biorefinery use. We concluded that the rapeseed stubble biomass is high enough to consider its economic use, and it is recommended to consider the stalk and chaff separately. The differences found among genotypes provide elements to choose materials considering the use of the residual biomass for bioenergy or biorefinery.
The effect the effectiveness of the liquid suction heat exchanger to performance of cold storage with refrigerant R22, R404A and R290/R600a

Storage space requirements with a large refrigeration capacity they use refrigerants types R22 and R404A. This research to develop alternative technologies to meet the needs of storage space with a large refrigeration capacity. Liquid suction subcooling technology is typically used to obtain improve refrigeration effect at vapor compression refrigeration system. Liquid suction heat exchanger subcooling used a type of tube in tube heat exchanger installed between the condenser and the capillary tube before entering the evaporator. Refrigerant used in this research is R22, R404A, and mixture refrigerant R290/R600a [50:50]. In steady state condition with subcooling temperature evaporator with R290/R600a lower reaches −30°C, lower than R404a and R22 is −24°C and −22°C. Liquid suction heat exchanger subcooling effect on ΔTsub. The cooling effect by the mixture refrigerant of R290/R600a greater than R404a and R22, and liquid suction heat exchanger increase refrigeration capacity index (RCI). The average increas.
Divalent, trivalent, and heavy fermion states in Eu compounds

Most of the Eu compounds are in the divalent (Eu) electronic state and order magnetically. On the other hand, the Eu-trivalent (Eu) compounds exist but are small in number. An energy difference between the Eu and Eu states is, however, not extremely large. Therefore, the valence transition occurs in some Eu compounds. We present the characteristic properties of the Eu compounds from several viewpoints: a canting magnetisation in the Eu-antiferromagnets, the Fermi surface property in the Eu-compounds of EuPd and EuCoSi, the heavy fermion state in EuNiP, the temperature-induced valence transition in EuPdSi, the pressure-induced valence transition in EuRhSi and EuRuP, and the heavy fermion state approaching to the quantum critical point with increasing pressure in EuNiGe .
Investigation of Factors Impacting Lean Implementation in the Indonesian Fast-Moving Consumer Goods Industry

The fast-moving consumer goods (FMCG) industry is promising in Indonesia, with recorded sales of more than USD 10 billion, which represents more than 18% of Indonesia’s gross domestic product in 2016. Despite the lucrative market, FMCG companies face challenges due to intense competition and increasing operational costs. Consequently, Indonesian companies have begun to explore lean implementation to decrease their costs and improve efficiency, but with minimal success. This study investigates the critical success factors of lean implementation in the Indonesian FMCG industry, as such implementation cannot optimally occur if the implementing company does not successfully manage the important factors that affect lean implementation. This study tested various factors—namely, organizational culture, personnel capability, communication, and leadership and management involvement—that impact lean implementation and organizational performance in Indonesia’s FMCG industry. It was also found that leadership and management involvement are the most important factors. Based on the obtained results, this research proposes recommendations regarding the best lean implementation practices in Indonesian FMCG companies.
Statistical analysis of wind characteristic in Yanco agricultural institute, Australia

In this study, energy potential and the wind speed characteristics in Yanco agricultural institute in southwestern New South Wales (Australia) were investigated using wind speed from database at a height of 10 m during the period of April 2018 until August 2019. The objective of this study is to assess the wind speed profile using different probability distribution functions in order to evaluate the most suitable function depending on statistical indicators. The performance of Gamma, Lognormal, Rayleigh, and Weibull were compared with measured data. Results showed that the most accurate function is the Weibull distribution and hence it is used to calculate the wind power density. The annual average wind power is 43.404 W/m at an elevation of 10 m. The power-law exponent equation was utilized to create the variations of monthly mean wind speed at the heights of 40 m and 50 m. Finally, wind rose diagram showed that an even distribution of wind direction although the most prevailing wind direction falls between 180° and 240°.
Deep Data and Shared Computation: shaping the future Trusted Smart Statistics

The role of modern official statistics is to provide a quantitative representation about the state of the society and of the economy to policymakers, citizens and economic actors. Official Statistics is intimately connected to democracy1: it delivers the same information (“statistics”) openly, to everybody at the same time. A system of legal, organisational and methodological frameworks is in place to ensure that the whole production process, from data collection through processing and dissemination of the final statistics, is independent from other public authorities and private entities [2]. On the operational level, the production of Official Statistics is based on the model exemplified as depicted in Figure 1(a). The Statistical Office (SO) collects the input data centrally, processes them internally and finally publishes the information produced in output, i.e., the statistics. The quality of the final output depends jointly on (i) the quality of the input data and (ii) the quality of the processing method (algorithm). The ultimate goal of SO is to deliver output information with guaranteed high quality, including relevance and timeliness, and in the traditional model SO have full control over the design and execution of the processing method. They also have direct control over the collection of input data in the case of survey and census data. As for administrative data, they are collected by different public authorities and for purposes other than Official Statistics, however SO still retain accurate knowledge about the collection process, sources of errors etc.
VISUAL SEARCH FOR CATALOGS, COLLECTIONS AND ARCHIVES

: Searching is a necessity. Search should be fun. Catalogs, collections and archives contain large amounts of data ready to search. But the most common presentation of the results in the form of long lists of text seems to be rather repulsive. Various studies have shown that only very few of these results attract the users’ attention. Improving the order of search results is therefore at the center of numerous research projects. Visual search is an alternative approach based on an observation from the pre-digital era that avoids these technical complexities: extensive image libraries – the slides on a light table – allow for easy scanning and ordering of large result sets. Visual search aims to bring this approach to the web. The authors first followed this concept while implementing oSkope, a visual search engine through web services such as Amazon, eBay or YouTube. The key design patterns were suitable for reuse in a number of Rich Internet Applications for collections and product catalogs since realized. By combining an intuitive and fluid navigation with a clear, meaningful and aesthetically pleasing presentation, these applications attract the users’ attention to a larger set of results. Additional information can be displayed on demand. Sophisticated search options allow for an accurate search. The results can be saved for later use or be sent to a friend.
Employment discrimination faced by Muslim women wearing the hijab: exploratory meta-analysis

ABSTRACT This study tested the hypothesis that Muslim women who wear the hijab are disadvantaged in employment processes relative to their counterparts who do not wear the hijab. A meta-analysis synthesized the findings of seven studies published between 2010 and 2020. The sample-weighted, pooled estimate among the most internally valid, experimental studies suggested that the chances of being hired and so gainfully employed were 40% lower among Muslim women wearing the hijab than they were among, otherwise similar, Muslim women not wearing the hijab: relative risk (RR) = 0.60 within a 95% confidence interval (CI) of 0.54, 0.67. This religion-based discrimination effect was deemed hugely significant in human, public health and policy senses. Immigration trends suggest that millions of Muslim women in the west likely experienced such employment discrimination over the past generation, and millions more are bound to similarly suffer over the next generation if policy status quos are retained. It seems that much of the relatively greater employment discrimination experienced by Muslim women who wear the hijab is due largely to potential employers' prejudicial reactions to the hijab itself. Practice and policy implications and future research needs are discussed.