Miracle-dz/UniFAR-FTUs huggingface dataset:
Antiproliferative and Cytotoxic Efficacy of 10-Hydroxy-2-Decenoic Acid, Compared to Doxorubicin, on MCF-7 Breast Cancer Cells

Exploration of effective chemotherapy is needed for cancer treatment. 10-hydroxy-2-decenoic acid (10-H2DA), a unique fatty acid from royal jelly (RJ), is reported to have antitumor activities. However, its mechanisms remain under-examined. This study investigated the antiproliferative and cytotoxic efficacy of 10-H2DA treatments and their underlying mechanisms, compared to doxorubicin (DXR), on MCF-7 breast cancer cells. The antiproliferative effect was determined using the MTS tetrazolium assay. Cytotoxic activity was performed using a modified MTS assay. Cell cycle progression and cell apoptosis were analyzed by flow cytometry. Pivotal protein expressions were detected by Western blot. Results revealed that 125 µg/mL 10-H2DA treatment significantly inhibited cancer cell growth by 65 %, better than 0.54 µg/mL DXR treatment (48 %), compared to the medium control (p<0.05). The 50 % lethal concentration (LC50) values of 10-H2DA were 190 µg/mL, representing cytotoxic activity. The underlying antiproliferative and cytotoxic mechanisms of 125 µg/mL 10-H2DA treatment demonstrated that it extensively suppressed c-MYC/BAX and slightly activated p53/BAX, leading to G0/G1 cell cycle arrest (decreased cyclin D1 and CDK4) and cell apoptosis (decreased BCL2/BAX). It slightly limited lifespan extension (decreased hTERT/BAX). Nevertheless, it strongly activated HO-1/BAX and NRF2/BAX, possibly inducing chemoresistance and cell invasion later on. Our findings suggested that 10-H2DA treatments induced antiproliferative effects on MCF-7 breast cancer cells via suppression of c-MYC, CDK4, and cyclin D1, leading to cell cycle arrest and cell apoptosis. However, long-term treatment may increase chemoresistance and cell invasion due to induction of antioxidative power, NRF2/BAX, and HO-1/BAX. Therefore, aggressive treatment for a short period would be recommended for using 10-H2DA as a chemotherapeutic compound to prevent chemoresistance and cell invasion. Further long-term in vitro and in vivo studies are necessary to confirm its strength and weakness. HIGHLIGHTS 10-hydroxy-2-decenoic acid (10-H2DA), a marker royal jelly acid, effectively inhibited MCF-7 breast cancer cells proliferation and induced cytotoxicity The inhibitory mechanisms involved the high suppression of c-MYC, cyclin D1, and CDK4, which induced cell cycle arrest and cell apoptosis 10-H2DA treatment at proper dose induced high antioxidative potency via activation of NRF2/BAX and HO-1/BAX Limitation of 10-H2DA treatment is that it might induce chemoresistance GRAPHICAL ABSTRACT
VerdEE: a new tool for the adoption of life-cycle assessment in small- and medium-sized enterprises

Data and time requirements and complex methodological problems of a detailed Life Cycle Assessment (LCA) are well-known and discussed. Its application has specific difficulties in Italian Small- and Medium- sized Enterprises (SMEs) where environmental information is generally dispersed, a short-term problem-oriented environmental management approach is common and dedicated human resources are usually missing. As a consequence, a new procedure specifically designed for SMEs, VerdEE (Verifica dell'Eco-Efficienza - Verification of Eco-Efficiency), was developed and implemented on an interactive CD-ROM. It is based on the following criteria: relying on a life cycle approach; aimed at evaluating the environmental profile of a product and at identifying improvement opportunities; sufficiently simple to be applied in a limited time; containing as much quantitative information as possible to make it usable by a non-expert user. The VerdEE procedure includes four main steps: "Goal and Scope definition"; semi-quantitative "Inventory"; "Check-list"; visualisation of results in "Matrix" and "Target-plot" form. The procedure is supported by an interconnected informative part about advantages of the life cycle approach for SMEs, principles of eco-design and environmental concerns.
Predicting Relative Protein Abundance via Sequence-Based Information

Understanding the complex interactions between transcriptome and proteome is essential in uncovering cellular mechanisms both in health and disease contexts. The limited correlations between corresponding transcript and protein abundance suggest that regulatory processes tightly govern information flow surrounding transcription and translation, and beyond. In this study we adopt an approach which expands the feature scope that models the human proteome: we develop machine learning models that incorporate sequence-derived features (SDFs), sometimes in conjunction with corresponding mRNA levels. We develop a large resource of sequence-derived features which cover a significant proportion of the H. sapiens proteome, demonstrate which of these features are significant in prediction on multiple cell lines, and suggest insights into which biological processes can be explained using these features. We reveal that (a) SDFs are significantly better at protein abundance prediction across multiple cell lines both in steady-state and dynamic contexts, (b) that SDFs can cover the domain of translation with relative efficiency but struggle with cell-line specific pathways and (c) provide a resource which can be plugged into many subsequent protein-centric analyses.
Safe & sound? Perceptions of campus safety for Black college students

ABSTRACT This study seeks to expand the conceptualization of campus safety incorporating both physical and psychological dimensions and drawing attention to the experiences of Black college students. Using the 2019 ACHA-NCHA biannual assessment, this study examined campus safety experiences of Black/African American in comparison to White undergraduate students (N = 27,820) and how these relate to psychological distress and suicide attempts. Results demonstrate that Black students felt significantly less safe and reported experiencing physical assault and sexual penetration without consent (rape) compared to White students. Significantly more Black students reported feeling angry, hopeless, and attempted suicide. Moderation analyses showed ways in which being stalked and verbally threatened strengthened the relationship between feelings of safety and psychological distress. Implications for university policies and initiatives are discussed.
An extension of time averaging equivalent circuit analysis for DC-DC converters

The main theorem of the time-averaging equivalent circuit approach (ECA) for the modeling and analysis of switching DC-DC converters reported by the authors (1988 IEEE Int. Symp. on Circ. Syst., p.1139-42) is extended to include the case in which the condition f/sub s/>>f/sub 0/ is not satisfied, where f/sub s/ is the switchup frequency and f/sub 0/ is the natural frequency. The results obtained by the extended ECA show that the DC-steady-state behavior of switching DC-DC converters is generally dependent on f/sub s/, whereas most of the existing methods for the modeling and analysis of switching DC-DC converters fail to give accurate results in this case. <<ETX>>
A Comparison between US and International Patent Classification as Input Data of a Technology Competition-Oriented Cluster Analysis

In a framework of a multivariate analysis of patent data this study applies a method of defining and analysing technology-based clusters of companies with the help of patent classification. In addition to the utilization of US patent classification we compare the results of a second analysis using the international patent classification. It is shown that the international patent classification is appropriate to conduct technology-oriented competition analyses, as long as a preparatory work of experts foregoes which classifies single classification symbols to technology fields as detailed as necessary to meet the demands of the individual analysis.
Energy Efficiency Optimization of Massive MIMO Systems Based on the Particle Swarm Optimization Algorithm

As one of the key technologies in the fifth generation of mobile communications, massive multi-input multioutput (MIMO) can improve system throughput and transmission reliability. However, if all antennas are used to transmit data, the same number of radiofrequency chains is required, which not only increases the cost of system but also reduces the energy efficiency (EE). To solve these problems, in this paper, we propose an EE optimization based on the particle swarm optimization (PSO) algorithm. First, we consider the base station (BS) antennas and terminal users and analyze their impact on EE in the uplink and downlink of a single-cell multiuser massive MIMO system. Second, a dynamic power consumption model is used under zero-forcing processing, and it obtains the expression of EE that is used as the fitness function of the PSO algorithm under perfect and imperfect channel state information (CSI) in single-cell scenarios and imperfect CSI in multicell scenarios. Finally, the optimal EE value is obtained by updating the global optimal positions of the particles. The simulation results show that compared with the traditional iterative algorithm and artificial bee colony algorithm, the proposed algorithm not only possesses the lowest complexity but also obtains the highest optimal value of EE under the single-cell perfect CSI scenario. In the single-cell and multicell scenarios with imperfect CSI, the proposed algorithm is capable of obtaining the same or slightly lower optimal EE value than that of the traditional iterative algorithm, but the running time is at most only 1/12 of that imposed by the iterative algorithm.
An hybrid methodology for RL-based behavior coordination in a target following mission with an AUV

Proposes a behavior-based scheme for high-level control of autonomous underwater vehicles (AUVs). Two main characteristics can be highlighted in the control scheme. Behavior coordination is done through a hybrid methodology, which takes in advantages of the robustness and modularity in competitive approaches, as well as optimized trajectories in cooperative ones. As a second feature, behavior state/action mapping is learnt by means of reinforcement learning (RL). A continuous Q-learning algorithm, implemented with a feed-forward neural network, is used. The behavior-based scheme attempts to fulfill simple missions in which several behaviors/tasks compete for the vehicle's control. The paper shows its feasibility with a target following mission designed to be carried out in a pool with the AUV ODIN. In the paper, simulation results are shown demonstrating the good performance of the hybrid method on behavior coordination as well as the convergence of the RL-based behaviors.
Natural Regeneration of the Tree Stand in the Bilberry Spruce Forest—Clear-Cutting Ecotone Complex in the First Post-Logging Decade

Bilberry spruce forests are the most widespread forest type in the European boreal zone. Limiting the clear-cuttings size leads to fragmentation of forest cover and the appearance of large areas of ecotone complexes, composed of forest (F), a transition from forest to the cut-over site under tree canopy (FE), a transition from forest to the cut-over site beyond tree canopy (CE), and the actual clear-cut site (C). Natural regeneration of woody species (spruce, birch, rowan) in the bilberry spruce stand—clear-cut ecotone complex was studied during the first decade after logging. The effects produced by the time since cutting, forest edge aspect, and the ground cover on the emergence and growth of trees and shrubs under forest canopy and openly in the clear-cut were investigated. Estimating the amount and size of different species in the regeneration showed FE and CE width to be 8 m—roughly half the height of first-story trees. Typical forest conditions (F) feature a relatively small amount of regenerating spruce and birch. The most favorable conditions for natural regeneration of spruce in the clear-cut—mature bilberry spruce stand ecotone are at the forest edge in areas of transition both towards the forest and towards the clear-cut (FE and CE). Clear-cut areas farther from the forest edge (C) offer an advantage to regenerating birch, which grows densely and actively in this area.
The Near Abasement of Uganda Hotels’ Staff Altruistic Behaviour by COVID-19 Pandemic: A Relief Model

This paper aims to analyze the relationship between employee optimism, status competitiveness, interpersonal adaptability and employee altruism during the COVID-19 pandemic. In addition, it examined the mediating effect of interpersonal adaptability and employee optimism in the stated relationship. A quantitative study was conducted using a sample of 303 respondents that constituted both managers and employees from 70 selected hotels in Uganda shortly after the end of the first lockdown in July, 2020. The associated hypotheses were tested using the Smart-PLS 3.2 software. Once employees are optimistic, undergo free and fair competition for any position, and feel that they freely interact with one another, then they are bound to devote themselves to the welfare of one another at all costs. It examined employee optimism, status competitiveness, and interpersonal adaptability as explanations of employee altruism. This is in addition to the mediation effect of interpersonal adaptability and employee optimism in the stated relationship. In terms of its value, when employees have positive expectations regardless of the current challenges they undergo, there is fair competition for all positions in the organization, and that they interact freely, they can offer help for others’ welfare. Keywords: employee optimism, status competitiveness, interpersonal adaptability, employee altruism, organizational citizenship behavior and COVID-19
Transcriptome and Metabolome Analyses Provide Insights into the Stomium Degeneration Mechanism in Lily

Lily (Lilium spp.) is a widely cultivated horticultural crop that has high ornamental and commercial value but also the serious problem of pollen pollution. However, mechanisms of anther dehiscence in lily remain largely unknown. In this study, the morphological characteristics of the stomium zone (SZ) from different developmental stages of ‘Siberia’ lily anthers were investigated. In addition, transcriptomic and metabolomic data were analyzed to identify the differentially expressed genes (DEGs) and secondary metabolites involved in stomium degeneration. According to morphological observations, SZ lysis occurred when flower buds were 6–8 cm in length and was completed in 9 cm. Transcriptomic analysis identified the genes involved in SZ degeneration, including those associated with hormone signal transduction, cell structure, reactive oxygen species (ROS), and transcription factors. A weighted co-expression network showed strong correlations between transcription factors. In addition, TUNEL (TdT-mediated dUTP nick-end labeling) assays showed that programmed cell death was important during anther SZ degeneration. Jasmonates might also have key roles in anther dehiscence by affecting the expression of the genes involved in pectin lysis, water transport, and cysteine protease. Collectively, the results of this study improve our understanding of anther dehiscence in lily and provide a data platform from which the molecular mechanisms of SZ degeneration can be revealed.
Millimeter Wave Filter Design with Suspended Stripline

Abstract : Planar and integrated microwave circuitry for application in radar and guidance systems is predominantly based on the microstrip transmission medium. Due to high microstrip losses with increasing frequency, lower-loss media are required for frequencies at K sub c -band (30GHz) and above. These higher frequencies are coming into increased use for higher target resolution and improved security. The important alternative microwave transmission media which preserve the advantages of planar printed circuit forms are the finline and shielded suspended-substrate systems. Of those two media, the finline has had extensive application and theoretical investigation. The shielded suspended- substrate stripline (SSL) has the potential for very low transmission loss since, in its quasi-TEM propagation mode, the current densities are very low due to its additional air gap, relative to microstrip. The SSL is at present a developmental system, and well-verified design rules are not yet available for it. A number of empirical formulas for the computation of the SSL transmission line parameters have been published in the literature, but the validity and accuracy of these formulas is not known. At present, essentially no information is available for discontinuities such as capacitive gaps or angles in the medium. The series capacitive gap is of particular interest in that a useful microwave filter can be built using resonator sections coupled by series capacitive gaps. Keywords: Microwave circuits.
DETECTION AND QUANTIFICATION OF SOYBEAN AND CORN OILS AS ADULTERANTS IN AVOCADO OIL USING FOURIER TRANSFORM MID INFRARED (FT-MIR) SPECTROSCOPY AIDED WITH MULTIVARIATE CALIBRATION

Authentication of high value edible oils like avocado oil (AO) is an emerging issue. AO can be target of adulteration with low priced oils like soybean and corn oils. The present study is intended to quantify soybean oil (SO) and corn oil (CO) in avocado oil (AO) using the combination of Fourier transform mid infrared (FT-MIR) spectroscopy and chemometrics. The quantification was carried out by partial least square (PLS) calibration using some spectral processing, namely normal spectra, smoothing, and derivation treatment. Frequencies of 1427-779 cm-1 with normal spectra were suitable for the quantification of SO in AO which revealed high coefficient determination (R2), i.e. 0.9994 and low root mean square error of calibration (RMSEC), i.e 0.86% (v/v). Meanwhile, R2 of 0.9994 and RMSEC of 0.87% (v/v) were obtained by PLS at the combined spectra at frequency regions of 1477-721, 1728-1685, and 3035-2881 cm-1 for quantification of CO in AO. The model was further validated using independent samples and offered high R2 values of 0.9994 (for CO) and 0.9998 (for SO) with root mean square error of prediction (RMSEP) of 0.88% (v/v) (CO) and 0.52 % (v/v) (SO), respectively. In general, FT-MIR spectroscopy serves rapid and accurate determination of CO and SO in AO for authenticity studies.
Poly(L-lactic acid) Reinforced with Hydroxyapatite and Tungsten Disulfide Nanotubes

Poly(L-lactic acid) (PLLA) is a biocompatible, biodegradable, and semi-crystalline polymer with numerous applications including food packaging, medical implants, stents, tissue engineering scaffolds, etc. Hydroxyapatite (HA) is the major component of natural bone. Conceptually, combining PLLA and HA could produce a bioceramic suitable for implants and bone repair. However, this nanocomposite suffers from poor mechanical behavior under tensile strain. In this study, films of PLLA and HA were prepared with small amounts of nontoxic WS2 nanotubes (INT-WS2). The structural aspects of the films were investigated via electron microscopy, X-ray diffraction, Raman microscopy, and infrared absorption spectroscopy. The mechanical properties were evaluated via tensile measurements, micro-hardness tests, and nanoindentation. The thermal properties were investigated via differential scanning calorimetry. The composite films exhibited improved mechanical and thermal properties compared to the films prepared from the PLLA and HA alone, which is advantageous for medical applications.
Global Navigation Satellite System Signal Generation Method for Wide Area Protection against Numerous Unintentional Drones

This study proposed a wide area protection method using global navigation satellite system (GNSS) interference signals against numerous unintentional drones. The defensive GNSS signals generated by a single signal generator sweep the authentic GNSS signals so that the signal tracking loop tracks the defensive signals for the drones to be guided to a safe zone. The proposed algorithm performs a sweep in the measurement domain by adjusting the time offset of the signal generator, which makes it possible to sweep a wider area. In this fundamental study to confirm the possibility of wide area protection, we investigated the signal generation method for the transition of signal tracking locks from authentic to defensive signals in situations where a signal generator does not know the drones’ positions. We examined the time discrepancy between the authentic and defensive signals, and the worst-case analysis to determine the minimum sweep range of the time offset. The determined minimum sweep range of the time offset. The determined minimum sweep range overcomes the influence of time discrepancy and unconditionally deceives multiple drones regardless of the satellite’s position, drones’ trajectories, and entry timing. To deceive drones approaching a sphere with a radius of 1 km, the minimum sweep range is approximately 6 and 3 km when the signal generator is 0 and 2 km away from the center of the swethe region respectively. The simulation results verified the theoretical analysis and showed that the defensive signals transmitted by one signal generator can deceive multiple drones to the center of the sweep region, which is the intended location.
Public Spending and Economic Growth : The Role of Institutional Quality

The study examined the effect of institutional quality on the relationship between public spending and economic growth in Nigeria. Annual data for the period 1986 to 2016 were sourced from the Central Bank of Nigeria (CBN) Statistical Bulletin, World Development Indicators and the International Country Risk Guide using the autoregressive distributed lag (ARDL) Bound testing approach.The long run estimates revealed that corruption affects the relationship between capital expenditure and economic growth while it has negative but significant impact on the relationship between recurrent expenditure and economic growth. Democratic accountability has a negative and significant effect on the relationship between the capital expenditure and economic growth but a positive and significant relationship between recurrent expenditure and economic growth. Similarly, law and order has negative and significant effect on the relationship between recurrent expenditure and economic growth while it has positive relationship with capital expenditure and growth.
Single-cell transcriptomics in the context of long-read nanopore sequencing

Abstract Single cell transcriptomics were declared twice ‘Method of the year’ by Nature Methods journal, in 2013 and 2019. It marks the beginning of new avenue in fundamental and clinical research, as the classic biochemical approach is already seen as limited, as pooling up the contents of a large number of cells together depicts an averaged image that is missing the decision maker cells. Short-read sequencing has already revolutionized biology and medicine, providing an unsurpassed accuracy of the reads, and now third generation long-read nanopore sequencing completes and extends transcriptomics with the ability to discover all full-length isoforms at a single-cell level, providing a deeper insight in our understating of physiology and pathology of tissue functions. This review provides insight on how nanopore technological specifics and limitations have been explored so far in implementing the only direct nucleic acid sequencing platform in single cells sequencing. We review how single-cell sequencing was introduced, most widely used conventional and microfluidic approaches for single cell isolation, ways for further sequencing library generation tailored for Illumina, and how these were adopted for the nanopore technology.