Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of guava leaf and lemon extracts on postharvest quality and shelf life of banana cv. Sabri (Musa sapientum L.)

Banana is a common and popular subtropical fruit worldwide. Its postharvest life is very short which causes difficulties in marketing and preserving banana at good condition. To find out a better solution of this problem, the current study was conducted during 2017 in the Horticulture Laboratory, Khulna University, Bangladesh, by following the Completely Randomized Design (CRD) of experiment. Harvested banana fruits, sabri (Musa sapientum L) were treated with guava leaf and lemon extracts at different concentrations. Non-treated fruits were considered as control. Both treated and non-treated bananas were stored in covered paper carton at ambient condition. Postharvest performances of the stored fruits during storage were observed for two weeks. After two weeks of storage, lower changes in color (score 6.77), firmness (score 4.43), less TSS content (8.21%), minimum infection (48.89%) and disease severity (score 3.33) and maximum shelf life (8.75 days) were observed in banana fruit with treatment of T3 (guava leaf extract 20% + lemon extract 15%) followed by treatment of T5 (guava leaf extract 40% + lemon extract 15%) treated fruits. However, the T4 treated banana fruit showed maximum vitamin C (1.83 mg/100 g), titratable acidity (0.11%) and reduced sugar (7.13%) after two weeks of storage. In conclusion, combination of guava leaf extract (20% or 40%) + lemon extract (15%) could be suggested for long term storage and maintenance of postharvest qualities at ambient conditions. J. Bangladesh Agril. Univ. 16(3): 337–342, December 2018
Simulation Study of Low-Dose Sparse-Sampling CT with Deep Learning-Based Reconstruction: Usefulness for Evaluation of Ovarian Cancer Metastasis

The usefulness of sparse-sampling CT with deep learning-based reconstruction for detection of metastasis of malignant ovarian tumors was evaluated. We obtained contrast-enhanced CT images (n = 141) of ovarian cancers from a public database, whose images were randomly divided into 71 training, 20 validation, and 50 test cases. Sparse-sampling CT images were calculated slice-by-slice by software simulation. Two deep-learning models for deep learning-based reconstruction were evaluated: Residual Encoder-Decoder Convolutional Neural Network (RED-CNN) and deeper U-net. For 50 test cases, we evaluated the peak signal-to-noise ratio (PSNR) and structural similarity (SSIM) as quantitative measures. Two radiologists independently performed a qualitative evaluation for the following points: entire CT image quality; visibility of the iliac artery; and visibility of peritoneal dissemination, liver metastasis, and lymph node metastasis. Wilcoxon signed-rank test and McNemar test were used to compare image quality and metastasis detectability between the two models, respectively. The mean PSNR and SSIM performed better with deeper U-net over RED-CNN. For all items of the visual evaluation, deeper U-net scored significantly better than RED-CNN. The metastasis detectability with deeper U-net was more than 95%. Sparse-sampling CT with deep learning-based reconstruction proved useful in detecting metastasis of malignant ovarian tumors and might contribute to reducing overall CT-radiation exposure.
DAIRY COOPERATIVES IN THE STATE OF MINAS GERAIS, BRAZIL: A SOCIOMETRIC STUDY

Cooperation has always existed in human societies. In fact, humans cooperate to survive and to overcome economic, political or social crisis. Cooperativeness emerged for a better life quality in the face of adversity. Factors such as marketing, cost control, diversified portfolio, management, associations, partnerships, attention to consumer market and to cooperative members have become a winner strategy when it comes to competition in domestic and foreign markets to ensure human survival. Current study constructs a sociogram of dairy cooperatives of the state of Minas Gerais, Brazil. Results reveal low density, centralization degree and cohesion index, or rather, most relationships are weak ties. The essay´s main contribution is the identification of a pattern of relationships between dairy cooperatives. As managerial contribution, the development of a plan to strengthen ties between cooperatives, led by state cooperatives organization, is proposed. COOPERATIVAS DE LACTEOS NO ESTADO DE MINAS GERAIS, BRASIL: UM ESTUDO SOCIOMETRICO A cooperacao sempre existiu nas sociedades humanas. De fato, os humanos cooperam para sobreviver e superar a crise economica, politica ou social. A cooperacao emergiu para uma melhor qualidade de vida diante das adversidades. Fatores como marketing, controle de custos, portfolio diversificado, gestao, associacoes, parcerias, atencao ao mercado consumidor e membros da cooperativa tornaram-se uma estrategia vencedora quando se trata de concorrencia nos mercados interno e externo para garantir a sobrevivencia humana. O presente estudo constroi um sociograma de cooperativas leiteiras do estado de Minas Gerais, Brasil. Os resultados revelam baixa densidade, grau de centralizacao e indice de coesao, ou seja, a maioria dos relacionamentos e fraca. A principal contribuicao do ensaio e a identificacao de um padrao de relacionamento entre as cooperativas de laticinios. Como contribuicao gerencial, propoe-se o desenvolvimento de um plano para fortalecer os lacos entre as cooperativas, liderado pela organizacao das cooperativas estaduais.
Structure, morphology and optical parameters of spray deposited CZTS thin films for solar cell applications

Objectives: To develop simple method for Cu2ZnSnS4 (CZTS) thin film deposition suitable for solar cell device application. Method: Cu2ZnSnS4 (CZTS) thin film was deposited by using simple chemical spray pyrolysis technique for substrate temperature (270±5) ◦C. Analytical reagent Grade 0.025 M Copper chloride (CuCl2), 0.0125 M zinc chloride (ZnCl2), 0.0125 M Tin chloride (SnCl4.5H2O) and 0.05 M Thiourea (SC (NH2)2) were used as sources of copper (cu+ ), zinc (Zn+), tin (Sn+) and sulfur (S-) ions respectively. The structure, morphology and optical band gap of the film were investigated by using X-ray Diffractometer (XRD), Scanning ElectronMicrograph (SEM) andUV-Visible spectroscopy respectively. Energy dispersive X-ray Analysis (EDX) was used for elemental analysis of deposited CZTS film. Findings: The XRD spectra showed that CZTS film exhibit polycrystalline tetragonal crystal structure with preferential orientation along (112) plane. The crystallite size calculated using full width at half maximum (FWHM) of (112) peak was to be 36.82 nm. SEM image revealed that film composed of regular arrangement of spherical granules of average size 1.61 μm. The purity of the CZTS phase was confirmed by elemental analysis. The calculated energy band gap (Eg) by using Tauc's plot was about 1.62 eV . The dc resistvity estimated by using IV characteristics of the CZTS film was to be 2.3× 10-2 Ω-cm. It is concluded that CZTS film prepared using present deposition technique can be used for solar cell device applications.
Consensus Control of Leader-Following Multi-Agent Systems in Directed Topology With Heterogeneous Disturbances

This paper investigates the consensus problem for linear multi-agent systems with the heterogeneous disturbances generated by the Brown motion. Its main contribution is that a control scheme is designed to achieve the dynamic consensus for the multi-agent systems in directed topology interfered by stochastic noise. In traditional ways, the coupling weights depending on the communication structure are static. A new distributed controller is designed based on Riccati inequalities, while updating the coupling weights associated with the gain matrix by state errors between adjacent agents. By introducing time-varying coupling weights into this novel control law, the state errors between leader and followers asymptotically converge to the minimum value utilizing the local interaction. Through the Lyapunov directed method and Itô formula, the stability of the closed-loop system with the proposed control law is analyzed. Two simulation results conducted by the new and traditional schemes are presented to demonstrate the effectiveness and advantage of the developed control method.
The complete mitochondrial genome of Catocala electa (Vieweg, 1790)

Abstract Catocala electa is one of the secondary pests in agriculture. In this study, the whole mitochondrial genome sequence of C. electa was determined with the help of Illumina sequencing. The complete genome sequence is 15,575 bp in total length, which contains 13 protein-coding genes (PCGs), 22 transfer RNAs(tRNAs) region, 2 ribosomal RNAs (rRNAs) and 1 control region (CR). The overall base components of mitogenome of all bases was 39.58% for A, 41.72% for T, 11.38% for C and 7.33% for G. Phylogenetic analysis using the ML method showed that C. electa was clustered into one branch with Catocala sp. XY-2014
Adaptive Algorithm for Sparse System Identification Based on Hard-Thresholding Techniques

Sparse least mean square (LMS) algorithms employ approximations of sparseness constraints as a zero-point attraction term that forces small tap weights towards the origin when unknown systems to be identified are sparse. Recently, the online linearized Bregman iteration (OLBI) algorithm appreciated soft thresholding techniques based on an <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula>-norm regularization in reducing a steady-state error. Although the soft thresholding successfully improves accuracy of the adaptive filter for sparse systems, this brief is limited to the <inline-formula> <tex-math notation="LaTeX">$L_{1}$ </tex-math></inline-formula>-norm regularization. In sparse representation, the <inline-formula> <tex-math notation="LaTeX">$L_{0}$ </tex-math></inline-formula>-norm regularization can theoretically yield the sparsest representation and lead to the promising performance in adaptive filters. In this regard, we introduce a <inline-formula> <tex-math notation="LaTeX">$L_{0}$ </tex-math></inline-formula>-norm based LMS algorithm by exploiting a hard thresholding through a variable splitting method. The proposed algorithm preserves the behavior of large tap weights and strongly enforces small tap weights to zero by relaxation of <inline-formula> <tex-math notation="LaTeX">$L_{0}$ </tex-math></inline-formula>-norm regularization. We also provide the mean stability conditions and theoretical mean-square performance of the proposed algorithm. Experimental results show that the proposed algorithm achieves superior convergence performance compared with conventional sparse algorithms.
POLITICAL SENTIMENT ANALYSIS ON DELHI USING MACHINE LEARNING

A BSTRACT . Social Networking sites are the best source of textual information which is used for emotion analysis and users view mining. Twitter tweets are used for sentiment analysis and analyses who will win the election of Delhi. Researchers collect the data from Twitter by using R API. We are using corpus based and Document based method for sentiment analysis, show the ten sentiments of tweets and classiﬁed these ten sentiments in to three sentiments such as Positive Negative and Neutral. RTextTools package is used to ﬁnd the accuracy precision and recall. In RTextTools package total nine algorithms, but researchers used eight algorithm such as Scaled Linear Discriminant Analysis (SLDA), Support vector machine (SVM), Additive Logistic Regression (LOGIT-BOOST), Maximum Entropy (MAXENTROPY), Bootstrap Aggregating (BAG), Random forest (RF), Neural Network (NNET), Classiﬁcation or regression tree (TREE) are used to for text classiﬁcation. Navies Bayes theorem is used to ﬁnd the Accuracy of algorithm and Precision, Recall for Positive Negative and Neutral tweets. This paper tried to show the opinion of Twitter user’s tweets in English regarding Delhi Election by using Machine learning algorithm, Twitter, tidytext, tm package.
Reconstruction of clone- and haplotype-specific cancer genome karyotypes from bulk tumor samples

Many cancer genomes are extensively rearranged with highly aberrant chromosomal karyotypes. These genome rearrangements, or structural variants, can be detected in tumor DNA sequencing data by abnormal mapping of se-quence reads to the reference genome. However, nearly all cancer sequencing to date is of bulk tumor samples which consist of a heterogeneous mixture of normal cells and subpopulations of cancers cells, or clones, that harbor distinct somatic structural variants. We introduce a novel algorithm, Reconstructing Cancer Karyotypes (RCK), to reconstruct haplotype-specific karyotypes of one or more rearranged cancer genomes, or clones, that best explain the read alignments from a bulk tumor sample. RCK leverages specific evolutionary constraints on the somatic mutation process in cancer to reduce ambiguity in the deconvolution of admixed DNA sequence data into multiple haplotype-specific cancer karyotypes. In particular, RCK relies on generalizations of the infinite sites assumption that a genome re-arrangement is highly unlikely to occur at the same nucleotide position more than once during somatic evolution. RCK’s comprehensive model allows us to incorporate information both from short and long-read sequencing technologies and is applicable to bulk tumor samples containing a mixture of an arbitrary number of derived genomes. We compared RCK to the state-of-the-art method ReMixT on a dataset of 17 primary and metastatic prostate cancer samples. We demonstrate that ReMixT’s limited support for heterogeneity and lack of evolutionary constrains leads to reconstruction of implausible karyotypes. In contrast, RCK’s infers cancer karyotypes that better explain read alignments from bulk tumor samples and are consistent with a reasonable evolutionary model. RCK’s reconstructions of clone- and haplotype-specific karyotypes will aid further studies of the role of intra-tumor heterogeneity in cancer development and response to treatment. RCK is available at https://github.com/raphael-group/RCK.
Multiclass classification of acute lymphoblastic leukemia microarrays data using support vector machine algorithms

Acute lymphoblastic leukemia (ALL) is a form of leukemia, or cancer of the white blood cells characterized by excess lymphoblast. Classification of acute lymphoblastic leukemia subtypes based on fusion genes that have a translocation. The fusion genes are BCR-ABL, E2A-PBX1, Hyperdiploid > 50 chromosomes, MLL, T-ALL, and TEL-AML1. The classification of acute lymphoblastic leukemia subtypes has an important role for the type of treatment that will be received, duration of treatment, medication needed during treatment, and other treatments that may be needed. In this paper, the method used is Multiclass Support Vector Machine Recursive Feature Elimination (MSVM-RFE) as the feature selection and One-Against-One Multiclass Support Vector Machine (OAO-MSVM) with RBF-Kernel with σ = 0.01 and Polynomial-Kernel with d = 4 as the classification methods. For the multiclass classification of acute lymphoblastic leukemia microarrays data, the best method to use is the MSVM Polynomial-Kernel with d = 4 that produces overall accuracy about 94%, precision about 96%, recall about 95%, F1 score about 95%, and the running time is 0.66 seconds.
Combination between Benzothiadiazole and Trichoderma Viride to Control Chocolate Spot Disease of Faba Bean and Their Effects on some Biochemical Characters

Faba bean is a food plant in many countries in the world. Botrytis fabae is a fungus that caused chocolate spot disease in faba bean . In this work , two concentrations of benzothiadiazole ( 0.3 and 0.5 mM ) and suspensions of Trichoderma viride prepared in two concentrations ( 1 × 10 and 2 × 10 spore/ml ) . The concentrations of benzothiadiazole and Trichoderma viride used alone and in combination to control chocolate spot disease in faba bean . Application of benzothiadiazole and Trichoderma viride reduced chocolate spot disease when used alone or in combination as foliar treatment . Total chlorophyll content and flavonoids content were increased when benzothiadiazole and Trichoderma viride used in treated plants compared to the infected control and to the plants treated with Tridex 80 % wp .
Combined Effect of Sonication and Acid Whey on Antioxidant and Angiotensin-Converting Enzyme Inhibitory Activities of Peptides Obtained from Dry-Cured Pork Loin

This study aimed to determine the effects of sonication and acid whey maceration on the oxidative stability, antioxidant activity and angiotensin-converting enzyme (ACE) inhibitory activity of peptides obtained from dry-cured pork loins. The changes in the selected parameters were documented over 7, 21 and 42 days of storage. The lowest antioxidant and angiotensin-converting enzyme inhibitory activities of peptides were noted in batches with curing salt (C) and acid whey (SW) compared to batches with sea salt (S). In this sample range, the lowest oxidation–reduction power values were associated with the use of ultrasound. In addition, higher antiradical activity (against ABTS•+) and reducing power values were observed for the sea salt ultrasound (SU) batches (after 21 and 42 days) and for the acid whey ultrasound (SWU) batches (after 7 and 21 days). Contrasting results were obtained for samples with sea salt (S and SU), which were characterized by a higher content of peptides, better antiradical properties and the highest potential to inhibit ACE (after seven days).
Assessment of Measures for Tax Regulation of Transfer Pricing from the Standpoint of National Welfare (Оценка мер по налоговому регулированию трансфертного ценообразования с точки зрения национального благосостояния)

This article is devoted to development of mathematical models for resolving an actual scientific challenge in the field of corporate finance. This involves substantiating taxation policies for the counter-acting tax planning of multinational companies (MNC), and then devising and articulating the appropriate international taxation scheme, as evaluated from the position of national welfare policy. Based on an analysis of existing models of international taxation, and on the peculiarities of the actual mechanism of capital movement tax regulation, new models with equilibrium postulated have been developed. The primary mechanisms of this research involve the following considerations: (1) examination of an approach targeted at the determination of the final outcomes of international taxation from the perspective of national economies; (2) measures of tax planning on the part of MNCs, and corresponding counter-acting measures to the tax planning applied by governments, are taken as a complex. Our results indicate that because a government uses rules of controlled transactions, in order to counter-act MNCs’ tax planning, for the government the final outcome from an application of these rules may be negative. This is due to a possibility of MNCs’ development in convenient and offshore jurisdictions. This finding is illustrated by means of an approbation of models with a case study involving a three-tier structure.Further to this point, instead of additional revenues, a government is at a risk of a shrinking tax base and a reduction in budget revenues; and moreover from the perspective of national welfare, the additional loss of revenues and capital of MNCs. Therefore there is a significant importance in forming rules for MNC taxation policies which would focus not on taxes as such, but would focus on trying to keep capital within the territory and/or would facilitate the return of earlier divested income. This could be attempted, for example, by using the secondary adjustment rule in conjunction with a minimum tax on return. The novelty of this research resides in the specificity of our investigation and the applicability of our conclusions to the practical challenges of international taxation and national revenue policies. The peculiarities of this economic moment and the crucial challenges for national governments in dealing with MNCs and the digital economy underline the significance of this study. Our results expand and develop the existing literature in this ever-crucial area be of immediate use to policymakers, academics and administrators involved in national and international taxation, finance, economics, and analysis.
A 1GS/s, 9-bits DAC Interleaved (2+1)-bit Then 2-bit per Cycle SAR ADC

This study presents a high-speed successive-approximation-register analog-to-digital converter (SAR ADC) for low-noise low-power satellite transceiver applications. The proposed system is a (2+1)-bit then 2-bit per cycle SAR ADC with a sampling rate of 1 GS/s, 9-bits resolution designed in a 65-nm standard CMOS process. This system resolves nine bits using a special switching scheme in a total of four cycles per sample. This is achieved by interleaving four capacitive digital to analog converter (C-DACs) with 1-fF unit capacitance. As the interleaving is limited only to the DACs that match well, the design is not affected by the drawbacks of full interleaving. Hence, better power efficiency and performance metrics were obtained in comparison to regular interleaved ADCs. A special timing with an additional first bit comparator is optimized to have appropriate timing margins for every step from a single 4-GHz low-noise clock source that is readily available in the 8-GHz direct conversion frontend. This comparator is reused as the active comparator in both the interleaving phases. The proposed design achieved an effective number of bits value of 8.2 bits at Nyquist rate with a power consumption of 12 mW, resulting in a figure of merit of 38.37 fJ/conversion-step.
Evidence for Edible Chinese Herbal Medicine as an Alternative Approach for the Treatment of Colorectal Cancer

Colorectal cancer (CRC) is the leading cause of cancer lethality worldwide, inflicting a heavy burden on society. Unfortunately, the complex nature of CRC pathogenesis renders current chemotherapies and targeted therapies unsatisfactory. Conventional medicine generally concentrates on the killing of tumor cells by inducing cell death or activation of the immune system, which often leads to adverse effects or relapsed chemoresistance. On the contrary, Chinese medicine theory pays attention to the patients’ whole inner system and helps to shrink the tumor with consideration of overall body condition. Since numerous Chinese herbal medicines (CHM) are used as food, the edible CHMs as diet resources therapy represent a promising alternative for the treatment of CRC. Recent research has made remarkable progress toward the therapeutic effects of edible CHM for CRC. In this review, experimental CRC models, the holistic characteristic of edible CHM, and recent research on the efficacy and mechanisms of edible CHM as anti-CRC agents are discussed, as well as the safety aspect of edible CHM.
Effects of light intensity on the growth, photosynthetic characteristics, and secondary metabolites of Eleutherococcus senticosus Harms

In this investigation, we used the growth, photosynthetic physiological parameters, and targeted metabolite analysis to evaluate the responses of Eleutherococcus senticosus in different shading treatments. The results showed that the moderate shading treatment (Z1) promoted the growth and inhibited photosynthesis of plants. The severe shading treatment (Z2)inhibited both the growth and photosynthesis of the plants. Besides, Z1 had no significant effect on the PSII, while Z2 inhibited the PSII. Most of the eight medicinal metabolites accumulated in the Z1. The C6C1- and C6C3-type phenolics accumulated in the Z1, and the C6C3C6-type in the Z2. In conclusion, the moderate shading treatment accumulated more defensive phenolics; this might be the reason for this shading condition promoting the growth and the accumulation of medicinal metabolites of the plant. The result of this study laid a theoretical foundation for the further study of shading treatments on the secondary metabolism of Eleutherococcus senticosus.