Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Nickel Concentration in Natural Zeolite as
Catalyst in Hydrocracking Process of Used Cooking Oil

Zeolites impregnated with Ni were successfully synthesized through wet impregnation using activated natural zeolites (ANZs) and the nickel nitrate hexahydrate (Ni(NO3)2·6H2O) precursor at different concentrations of 1%, 2% and 3% (w/w) (hereafter referred to as ANZ/Ni 1%, ANZ/Ni 2%, and ANZ/Ni 3%). The synthesized products were characterized using X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), surface area analyzer (SAA), scanning electron microscopy (SEM), total acidity measurements by employing ammonia adsorption and Brunauer-Emmett-Teller (BET) theory. The obtained catalysts were employed in the hydrocracking of waste cooking oils, and the formed products were analyzed through gas chromatography-mass spectrometry (GC-MS). The FTIR results indicated that ANZs impregnated with Ni can increase zeolite acidity. The test results of total acidity revealed that 3% ANZ/Ni catalyst exhibited the maximum total acidity of 3.70 mmol/g. XRD diffractogram confirmed the successful impregnation of Ni into ANZs, which was indicated by the characteristic diffraction peaks appearing at 2θ of 9. 75º, 13. 41º, 19. 56º, 22. 25º, 25. 61º, 27. 66º and 31. 91º. SEM analysis indicated that the particle size of zeolite catalysts was non-uniform, but these catalysts exhibited a highly uniform surface after they were activated. Moreover, the ANZ catalysts impregnated with different concentrations of Ni exhibited a highly uniform particle size. The ANZ/Ni 3% catalyst had small uniform particle. The BET results revealed that the ANZ/Ni 2% catalyst exhibited the maximum pore volume and surface area and relatively smaller radii of pores. GC-MS was employed to determine liquid products, and its results showed that the ANZ/Ni 3% catalyst had the maximum amount of liquid products of 18%.
Unexpected PDMS behavior in segregated cylindrical and spherical nanophases of PS-PDMS asymmetric diblock copolymers

The structure and dynamics of the poly(dimethylsiloxane) (PDMS) segregated nanophase in block copolymers with polystyrene (PS) has been analyzed in detail by combining wide- and small-angle X-ray diffraction, infrared absorption, differential scanning calorimetry, and dielectric relaxation spectroscopy. In particular, we have investigated PS-rich PS–PDMS diblocks where the minority PDMS phase is segregated into cylindrical and spherical regions with diameter in the range 10–20 nm and compared the results with those previously reported on symmetric diblocks with lamellar phases of similar size. It is found that in these highly segregated cylindrical and spherical regions in the copolymers PDMS presents a rather unexpected behavior as probed by X-ray diffraction, infrared absorption, differential scanning calorimetry, and dielectric relaxation spectroscopy. Structural techniques indicate poor packing of the PDMS segments, whereas calorimetric experiments evidence both strong suppression of PDMS crystallizat.
Perioperative or intraoperative blood transfusion increases the risk of postoperative pancreatic fistula following pancreaticoduodenectomy

Aim: Postoperative pancreatic fistula (POPF) is one of the most common causes of morbidity following pancreaticoduodenectomy (PD). The optimum way of reducing the prevalence of POPF is to prevent its development. In this study, we attempted to identify the potential perioperative risk factors of POPF and suggestions were made for its. Material and Methods: In this study, we included patients who had undergone PD from January 2010 to April 2020. POPF was defined as per the International Study Group on Pancreatic Fistula. The patients were followed up for 30 days for POPF. Results: Fifty-two (52) patients whose medical records were available were enrolled. POPF developed in 19 patients (36.5%). Grade-A POPF developed in six patients (11.5%), Grade-B POPF in eight patients (15.4%), and Grade-C POPF in five patients (9.6%). Percutaneous drainage was performed in a patient with Grade-B POPF, and reoperation was performed for five patients with Grade-C POPF. In univariate analysis, female sex (p=0.03), perioperative blood transfusion (p=0.03), and the number of harvested lymph nodes ≥12 (p=0.008) were related to POPF. In logistic regression analysis, the number of harvested lymph nodes ≥12 (p=0.005) and female sex (p=0.03) were independent risk factors of POPF. Although perioperative blood transfusion increased the POPF risk, the effect was not statistically significant (p=0.10). Conclusion: POPF was observed to be the most important cause of morbidity following PD in our study. We also found that reduce the POPF risk, it is important to avoid blood transfusion whenever possible.
Machine Learning for Advanced Wireless Sensor Networks: A Review

Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related environments for sensing(monitoring) and gathering of raw sensor data for subsequent forwarding to a base station. In order to deploy WSNs in real environments, a variety of technical challenges must be addressed. With traditional techniques developed for a specific task, it is hard to react in dynamic situations beyond the scope of the intended task. As a solution to this problem, machine learning (ML) techniques that are able to handle dynamic situations with successful learning process have been applied lately in WSNs. Particularly, deep learning (DL) techniques, a class of ML techniques characterized by the use of deep neural network, are used for WSNs to extract higher level features from raw sensor data. A range of benefits obtained from ML techniques applied to WSNs can be described as reduced computational complexity, increased feasibility in finding optimal solutions, increased energy efficiency, etc. On the other hand, it is found from our survey that large training time and large dataset to get acceptable performance are accompanied with large energy consumption which is not favorable for resource-restrained WSNs. Reviews on the applications of ML techniques in WSNs appeared in the literature. However, few reviews have dealt with the applications of DL techniques in WSNs. In this review, recent developments of ML techniques for WSNs are presented with much emphasis on DL techniques. The DL techniques developed for various applications in WSNs are addressed together with their respective deep neural network architectures.
Tuberculosis detection architecture with image processing using the SIFT and K-means algorithm

Tuberculosis is a lethal disease that attacks the lungs in a similar way to COVID 19, according to the who, until 2018 there were more than 10 million people infected with tuberculosis and 1 5 million died with this disease Artificial Intelligence algorithms allow detecting these diseases quickly and massively We present an architecture to detect tuberculosis with image processing on lung radiographs, using the SIFT and K-means algorithms We have tested the architecture with 300 radiographs, achieving 90 3% accuracy in classification © 2020 Instituto Politecnico Nacional All rights reserved
Can street-level bureaucrats be nudged to increase effectiveness in welfare policy?

This article investigates whether street-level bureaucrats can be incentivised to process information in ways that lead to more effective implementation decisions. It draws on the literatures on behavioural public policy (BPP) and street-level bureaucracy to analyse how civil servants implement disability insurance policy in Switzerland. We conducted a field experiment to assess whether a thought-provoking nudge improves the decisional effectiveness of street-level bureaucrats (SLBs). SLBs were assigned to either a ‘business-as-usual’ control condition, or to an experimental condition, where they were called to pay attention to vulnerability processes along the beneficiaries’ life course when making decisions. While we did not find that the thought-provoking nudge directly improved effectiveness, we found that it increased beneficiaries’ humanisation. In particular, there was some evidence for indirect positive effects of the thought-provoking nudge on effectiveness via humanisation. These findings encourage BPP researchers to consider additional dimensions such as humanisation to nudge SLBs into processing information in better ways.
Reduced Activation Energy for Grain Growth in Nanocrystalline Yttria-Stabilized Zirconia

Nanocrystalline (∼15−20 nm) 3 mol % yttria-stabilized zirconia (3YSZ) powder is synthesized via sol−gel technique. A reduced activation energy value of ∼13.0 ± 0.9 kJ/mol is observed for grain growth in nano-3YSZ powder, within the calcination temperature range of 400−1200 °C, which is much lower than that (580 kJ/mol) reported for submicron/micron-sized 3YSZ. This is attributed to large oxygen-ion vacancy concentration in nano-3YSZ.
Fluid-Based Energy Efficiency Analysis of JT-CoMP Scheme in Femto Cellular Networks

As the progress towards 5G wireless networks, energy efficiency (EE) has become one of the critical design criteria for future wireless communications. In this regard, the joint transmission coordinated multipoint (JT-CoMP) technique is considered as a promising technology to save energy by mitigating intercell interference and improving spectral efficiency. However, additional power for data sharing and resource information is consumed by this technology. To evaluate the EE in dense femtocell networks with joint transmission CoMP approach and capture the significant factors involved in the energy consumption process, representative and accurate models are needed. In this article, while applying a realistic power consumption model, we develop a tractable model in a JT-CoMP downlink transmission network based on spatial fluid modeling, which reduces the analysis complexity. Moreover, the proposed model’s effectiveness and accuracy are shown by comparing the obtained results to those of Monte Carlo simulations. Afterward, our simulation outcomes point out that EE is mainly highest in free space than urban areas, and can be improved with the increase of cooperative BSs number for a constant backhauling power cost. Moreover, in the case of a variable backhauling power cost, JT-CoMP becomes beneficial when the SINR threshold is 3dB.
Electric double layer of Au(100)/imidazolium-based ionic liquids interface: Effect of cation size

We have carried out differential capacitance measurements and in-situ scanning tunneling microscope (STM) characterizations to investigate the effect of the length of alkyl side chains on an electric double layer of Au(100)/imidazolium-based ionic liquids interface. In ionic liquids consisting of BMI+ cation (1-butyl-3-methylimidazolium), differential capacitance curves present an obvious bell-shaped feature. In ionic liquids with PMI+ (1-methyl-3-propylimidazolium) or OMI+ (1-methyl-3-octylimidazolium) cations, the rising of capacitance from about −0.5 V disturbs the bell-shaped feature. In-situ STM characterizations reveal the generality of surface etching and micelle-like adsorption of imidazolium cations on Au(100) at potential around the peaks of the bell-shaped feature, demonstrating that the potential of zero charge (PZC) should locate at the potential close to the peaks. Because of the longer side chain length and stronger interaction with Au(100) substrate, an extra capacitance peak appears at th.
Free vibration of multiwall carbon nanotubes

A multiple-elastic shell model is applied to systematically study free vibration of multiwall carbon nanotubes (MWNTs). Using Flugge [Stresses in Shells (Springer, Berlin, 1960)] equations of elastic shells, vibrational frequencies and associated modes are calculated for MWNTs of innermost radii 5 and 0.65 nm, respectively. The emphasis is placed on the effect of interlayer van der Waals (vdW) interaction on free vibration of MWNTs. Our results show that the interlayer vdW interaction has a crucial effect on radial (R) modes of large-radius MWNTs (e.g., of the innermost radius 5 nm), but is less pronounced for R modes of small-radius MWNTs (e.g., of the innermost radius 0.65 nm), and usually negligible for torsional (T) and longitudinal (L) modes of MWNTs. This is attributed to the fact that the interlayer vdW interaction, characterized by a radius-independent vdW interaction coefficient, depends on radial deflections only, and is dominant only for large-radius MWNTs of lower radial rigidity but less pron.
Molecular analysis of the ammonia oxidizing bacterial community in the surface soil layer of a Japanese paddy field

Abstract Ammonia oxidation to nitrite is the key part in the nitrification–denitrification process that occurs in the oxic–anoxic interface of paddy fields and is, therefore, an important component of the nitrogen cycle. Ammonia oxidation is carried out by autotrophic ammonia oxidizing bacteria (AOB). In this study, we investigated the AOB community in the surface paddy soil layer using polymerase chain reaction-denaturing gradient gel electrophoresis (PCR-DGGE) and sequencing methods using amoA-specific primers targeting a partial stretch of the gene that encodes ammonia monooxygenase A (amoA). DGGE bands with eight different levels of mobility were obtained from the surface soil. The DNA sequences of five bands were identified. All DNA sequences were closely related to Nitrosospira spp. and no Nitrosomonas-like AOB were identified. The deduced amino acid sequences of the five retrieved DGGE bands were closely related (99–100%) to previously published amoA amino acid sequences of the cultured strains Nitrosospira Ka3 and Nitrosospira CT2F. A phylogenetic tree based on the amoA amino acid sequence revealed that all five AOB sequences were grouped within the amoA cluster 1.
Survivability and Resilience of Supply Chain System Post-Pandemic in India

Purpose: The Supply Chain (SC) in India will undergo a dramatic change in the future due to COVID 19 pandemic. Supply chains in collaboration with digital technologies have the potential survivability opportunities in the new normal environment. The paper provides a conceptual foundation on how India will cope with the current pandemic in the economic crisis. Design/methodology/approach: It is a conceptual paper, addressing the application of SC technology and concludes the proposed model with constructs and concepts that are useful for the renovation of the resilient post-COVID SC. The propositions are made to explore the impact of the Supply Chain (SC) on implementation of Resilience and survivability of the post-pandemic environment. Findings: The study shows the importance of technology adoption in building a resilient supply chain with outcomes like recovery, survivability, and improved performance of SC. The article discusses challenges and potential opportunities with the effect of COVID 19, to enable supply chain professionals for effective planning of operations in future. Research limitations/implications: The study is limited to a conceptual framework, wherein future there is scope of converting the propositions into a testable hypothesis. The proposed model can be applied to manufacturing and service industries with a global focus. Originality/Value: This is a novel study that aims to develop a conceptual model on building supply chain resilience with the effect of COVID 19 pandemic. This article elaborates on ongoing efforts to restart supply chains for survivability in the new normal situation
Soil water depletion rates under large grapevines

Over two consecutive seasons, daily rates of change in the water content of the top 120 cm of soil were calculated for sample sites located at 50 cm from the butts of 12 Colombard vines on Ramsey rootstock which were part of a controlled deficit irrigation experiment. Records were selected where the rate represented a change due solely to depletion of soil water by grapevine evapotranspiration (ΔSET). Soil water availability was quantified as a logarithmic transformation of the absolute value of the root‐weighted measure of soil matric potential. ΔSET was negatively correlated with soil water availability and positively correlated with reference crop evapotranspiration (ETo). At very high values of soil water availability, i.e. soil matric potential between ‐8 and ‐16 kPa, and after the canopy was fully developed, ΔSET had a 1:1 relationship with ETo. When root‐weighted soil matric potential was greater than ‐16 kPa, the mean values of the ratio of soil water depletion rate to reference crop evapotranspiration (ΔSET/ETo), varied from 0.1 to 1.2 for 30‐day periods between bud burst and leaf fall. Considering the full set of measurements, ΔSET/ETo was highly negatively correlated with soil water availability for all 30‐day periods except those less than 60 days from bud burst. In the period 150 to 179 days after bud burst, 70% of the variance in ΔSET/ETo was accounted for by regression on soil water availability for values of root‐weighted soil matric potential between ‐8 and ‐100 kPa. During this period a fall in root‐weighted soil matric potential from ‐10 to ‐42 kPa was associated with a decline in the value of ΔSET/ETo from 1.3 to 0.6. At both high and low values of ETo, the ratio of ΔSET/ETo fell linearly with declining soil water availability. The changes in values of midafternoon stem water potential and stomatal conductance associated with this decline in ΔSET/ETo are discussed.
Agriculture Sector Women's Alcohol Drinking Pattern and Behavior in the Lower Northern Region of Thailand

Background: Alcohol consumption is one of the leading public health problems in the modern era and associates with almost 200 health conditions. In Thailand, the number of alcohol consumers is increasing especially among women. Agriculture is one of the major sectors of Thailand where almost half of the workforce is female. However, the pattern and behavior of alcohol consumption in this section of the population are not fully explored. This research aims to find out the pattern and behavior of the consumption of alcohol among women in the agricultural sector in the lower northern region of Thailand. Methods: A triangulation mixed-method study had been conducted. In the quantitative part, there were 468 responders and 24 participants were in the qualitative part. Data had been analyzed through logistic regression and thematic analysis. Results: Being single, parent's alcohol consumption, and distance of alcohol retail shop had been significantly associated with alcohol behavior found in the quantitative part. However, the qualitative part explored woman drinker, availability, reason, frequent, and amount of alcohol consumption. Conclusions: Strong intervention is needed to reduce the consumption of alcohol among women in the agriculture sector
Criso: An Incremental Scalable and Cost-Effective Network Architecture for Data Centers

With the explosive data growth, an enormous number of computing and networking components (e.g., servers, switches, and wires) are continuously being augmented to data centers. Data center networks (DCNs) - maintaining a high network capacity - must be cost efficient, incrementally scalable, and fault-tolerant. To address these challenges, we propose in this study a new type of DCN architecture referred to as <italic>Criso</italic>. Different from the existing network architectures, <italic>Criso</italic> is designed hierarchically and recursively by employing two ports servers and commodity switches. <italic>Criso</italic> is constructed based on numerous isomorphic <italic>pod</italic> s, each of which leverages external interfaces supplied by switches to connect with neighboring pods. Additionally, a <italic>pod</italic>-based and fault-tolerant routing algorithm is designed to handle multiple failures. <italic>Criso</italic> has an array of promising features, including being cost-efficient and delivering a high-network capacity that can be extended to millions of nodes. The analytic results demonstrate that <italic>Criso</italic> is significantly superior to the four state-of-the-art data center structures in terms of network capacity, scalability, cost, power consumption, and other static characteristics. Furthermore, the experimental results unveil that <italic>Criso</italic> satisfies the fault-tolerant demands of modern data centers. Compared to the four existing topologies (i.e., <italic>DCell</italic>, <italic>BCube</italic>, <italic>FiConn</italic>, <italic>Fat-Tree</italic>) that have been widely investigated, <italic>Criso</italic> is adroit at maintaining a balanced performance in terms of throughput and latency.
A comparison of methods for measuring extractable Ca, Mg, K, Na, Mn, Al, Fe, and P from New England forest soils

Abstract An experiment was designed to evaluate several of the commonly used extractants and methods for determining “available”; elements in soils. The purpose of the study was to evaluate the suitability of these extraction procedures for use on forest soils typical for New England commercial forests. The extraction procedures selected included NH4OAc pH 4.8, NH4OAc pH 7.0, NH4Cl, Double Acid, Bray, and Mehlich methods. The elements measured varied somewhat by procedure but included the base cations, Al, Fe, Mn, and P. As a bioassay of element availability, a greenhouse study was conducted using six forest soil materials from different horizon types (i.e. O, Ap, B) and three conifer seedling species (red spruce, balsam fir, and white pine). Relatively small differences among extraction procedures were found among the methods used for exchangeable Ca, Mg, K, and Na. Large differences, however, were found among the different horizon types in the amount of exchangeable base cations present. In contrast, si.
Local labor market effects of FDI regulation in Indonesia

Using yearly Indonesian labor market data for 2000 to 2015, we investigate the impact of a protectionist foreign direct investment (FDI) policy reform on employment and wages. The so-called negative investment list regulates FDI at the highly granular product level and has been repeatedly revised throughout time. We construct spatial measures of regulatory penetration based on firm-level data and thereby exploit the exposure of local manufacturing industry employment to the negative investment list. Controlling for time and locality fixed effects as well as trends in initial district conditions, our findings suggest an overall positive effect of local regulatory penetration on employment, which is especially pronounced among young, females and low-skilled workers and mostly driven by job creation in the manufacturing sector. We also present evidence in support of positive wage effects.