Miracle-dz/UniFAR-FTUs huggingface dataset:
Gene Expression Behavior of a Set of Genes in Platelet and Tissue Samples from Patients with Breast Cancer

The tumor microenvironment (TME) is constituted by a great diversity of highly dynamic cell populations, each of which contributes ligands, receptors, soluble proteins, mRNAs, and miRNAs, in order to regulate cellular activities within the TME and even promote processes such as angiogenesis or metastasis. Intravasated platelets (PLT) undergo changes in the TME that convert them into tumor-educated platelets (TEP), which supports the development of cancer, angiogenesis, and metastasis through the degranulation and release of biomolecules. Several authors have reported that the deregulation of PF4, VEGF, PDGF, ANG-1, WASF3, LAPTM4B, TPM3, and TAC1 genes participates in breast cancer progression, angiogenesis, and metastasis. The present work aimed to analyze the expression levels of this set of genes in tumor tissues and platelets derived from breast cancer patients by reverse transcription-quantitative polymerase chain reaction (RTqPCR) assays, in order to determine if there was an expression correlation between these sources and to take advantage of the new information to be used in possible diagnosis by liquid biopsy. Data from these assays showed that platelets and breast cancer tumors present similar expression levels of a subset of these genes’ mRNAs, depending on the molecular subtype, comorbidities, and metastasis presence.
Monolithic InAs/InP Quantum Dash Mode-Locked Lasers for Millimeter-Wave-Over-Fiber Mobile Fronthaul Systems

Semiconductor monolithic mode-locked lasers (MLLs) are potential solutions for generating high-speed optical pulses in future mobile fronthaul networks in the millimeter-wave (mmW) bands. Our previous studies have investigated using buried heterostructure (BH) quantum dash (QDash) multi-wavelength lasers for photonic mmW applications. Here we present results from monolithic chip-scale ridge waveguide QDash MLLs for generating and transmitting mmW signals. Through optimizing epitaxy growth, waveguide design, and fabrication process, the five-layer ridge waveguide QDash MLL exhibits superior performance with regard to the coherent comb bandwidths, lasing threshold current, output power, and internal quantum efficiency. The generated mmW frequency at 28.36 GHz exhibits excellent frequency stability, with a drift of less than ±50 kHz. For the first time, we have utilized the free-running five-layer ridge waveguide QDash MLL to implement single- and dual-optical carrier modulation schemes in the millimeter-wave-over-fiber (mmWoF) systems. Both modulation schemes have achieved satisfactory performance achieving error vector magnitude (EVM) performance much lower than the 3GPP requirements (<12.5%) for future networks. In particular, the single-carrier modulation scheme achieves higher conversion efficiency and improved EVM performance. In contrast, the dual-carrier modulation scheme alleviates the path length matching challenges, offering a low-cost and easy-to-implement solution in different usage scenarios.
Assessing the leapfrogging potential to water sensitive: the Dutch case of Zwolle

Urban floods can cause significant damage and are expected to become more common due to climate change. Previous research has identified that climate change adaptation in cities requires the development of blue-green infrastructure (BGI), and it is expected that cities can leapfrog to a water-sensitive state by implementing BGI. However, leapfrogging is context-dependent, and little is known about how governance factors affect leapfrogging, particularly in midsize cities. This paper addresses this knowledge gap, providing empirical insights into leapfrogging by assessing the governance factors that support or restrict BGI implementation in Zwolle (the Netherlands) towards becoming a water-sensitive state. For the analysis, we employ a governance assessment tool and three catalytic factors that promote leapfrogging. The results show that the governance context supports leapfrogging at a moderate to high level. This means that while the governmental levels and stakeholder networks collaborate to support climate change adaptation of the city, new legislation on BGI and citizens’ involvement in climate change adaptation projects could increase the leapfrog possibilities for Zwolle in achieving its goal of becoming climate-proof by 2050.
Design and Validation of Experimental Setup for Cell Spheroid Radiofrequency-Induced Heating

While hyperthermia has been shown to induce a variety of cytotoxic and sensitizing effects on cancer tissues, the thermal dose–effect relationship is still not well quantified, and it is still unclear how it can be optimally combined with other treatment modalities. Additionally, it is speculated that different methods of applying hyperthermia, such as water bath heating or electromagnetic energy, may have an effect on the resulting biological mechanisms involved in cell death or in sensitizing tumor cells to other oncological treatments. In order to further quantify and characterize hyperthermia treatments on a cellular level, in vitro experiments shifted towards the use of 3D cell spheroids. These are in fact considered a more representative model of the cell environment when compared to 2D cell cultures. In order to perform radiofrequency (RF)-induced heating in vitro, we have recently developed a dedicated electromagnetic field applicator. In this study, using this applicator, we designed and validated an experimental setup which can heat 3D cell spheroids in a conical polypropylene vial, thus providing a reliable instrument for investigating hyperthermia effects at the cellular scale.
LDA-Bert based public opinion subject mining analysis of emergencies

Studying the theme of emergencies is of great significance to the emergency management of subsequent public opinion. In order to solve the problem that LDA ignores the context semantics, and the topic distribution is biased towards high-frequency words, Bert is introduced. LDA-Bert public opinion topic mining model is proposed. First, LDA is used to select candidate words; Then, Bert is used to construct candidate word vectors and topic vectors with context semantics, and the topic keywords are filtered twice by cosine similarity calculation; Finally, the corresponding public opinion response strategies are proposed through the subject mining results of different life cycles. Taking the "Xi'an epidemic" as an example, the experiment proved that the model can effectively extract theme keywords, providing a strong basis for the follow-up analysis of theme changes at different stages of public opinion.
Pseudoaneurysm Infection Ballooning Out of Control Following Sequential Cardiac Catheterizations: A Case Report

A femoral artery pseudoaneurysm (PSA) is a potential complication of vascular access procedures, such as cardiac catheterizations, that can have serious consequences if left untreated. Although the incidence of PSA formation has decreased due to the advent of improved surgical techniques, this case demonstrates that such complications should be considered in a clinical setting. This report presents a case of right femoral PSA, pacemaker infection, and high-grade methicillin-resistant Staphylococcus aureus (MRSA) bacteremia status post multiple cardiac catheterizations. Treatment included open repair of his femoral artery PSA, antibiotics tailored to culture sensitivities, and pacemaker removal. The potential complications, diagnosis, management, and alternative treatment options for PSAs are discussed in order to encourage clinical awareness of a rare complication.
Modulation of the Gut Microbiota by Tomato Flours Obtained after Conventional and Ohmic Heating Extraction and Its Prebiotic Properties

Several studies have supported the positive functional health effects of both prebiotics and probiotics on gut microbiota. Among these, the selective growth of beneficial bacteria due to the use of prebiotics and bioactive compounds as an energy and carbon source is critical to promote the development of healthy microbiota within the human gut. The present work aimed to assess the fermentability of tomato flour obtained after ohmic (SFOH) and conventional (SFCONV) extraction of phenolic compounds and carotenoids as well as their potential impact upon specific microbiota groups. To accomplish this, the attained bagasse flour was submitted to an in vitro simulation of gastrointestinal digestion before its potential fermentability and impact upon gut microbiota (using an in vitro fecal fermentation model). Different impacts on the probiotic strains studied were observed for SFCONV promoting the B. animalis growth, while SFOH promoted the B. longum, probably based on the different carbohydrate profiles of the flours. Overall, the flours used were capable of functioning as a direct substrate to support potential prebiotic growth for Bifidus longum. The fecal fermentation model results showed the highest Bacteroidetes growth with SFOH and the highest values of Bacteroides with SFCONV. A correlation between microorganisms’ growth and short-chain fatty acids was also found. This by-product seems to promote beneficial effects on microbiota flora and could be a potential prebiotic ingredient, although more extensive in vivo trials would be necessary to confirm this.
Fault Current-Limiting Control and Isolation Strategy of All-DC Offshore Wind Transmission System

As a key research object of renewable energy generation, offshore wind power is playing a vital role to reduce carbon emission. Aiming at developing distant offshore wind power, a novel all-DC transmission system which incorporates DC collection and DC transmission together was put forward. Due to its low inertia characteristic, the fault current develops rapidly, which adds to the difficulty of fault clearing in a short time. Therefore, in order to reduce the fault impact on unfaulty zones while balancing the economy and reliability together, an optimized fault isolation strategy based on a new current-limiting control method was proposed. The operation principle and fault characteristics of the all-DC transmission system are firstly analysed. The current-limiting method based on the changing of the bridge arm voltage reference value combines the inner-loop and outer-loop control together. Simulation verification shows that the fault current can be reduced to zero and the isolation process takes less than 10ms in total, proving the effectiveness and rapidity of the strategy.
Indoor Positioning by CSI Amplitude and Neural Networks

Requirements for positioning accuracy indoors are constantly increasing. However, there is no single solution for organizing such positioning, and each individual project uses its own practical implementations. The paper uses channel state information at the physical layer to determine the distance between radio devices. In particular, the amplitude of the signal over 56 subcarriers is used. The task of determining the distance is positioned as a classification task. To solve it, a neural network with fully connected hidden layers is used. To train the neural network, an experiment was conducted to collect information in a technical laboratory measuring ${5.5\mathrm{x}4}$ meters. The resulting dataset is divided into a training set, a validation set, and a test set. The results of the experiments showed the accuracy in determining the distance between radio devices in the range of 99.47 – 99.75% on the training set. While on the test sample, the accuracy was 96.2 – 98.8%. The distances obtained as a result of the proposed algorithm can be used for indoor positioning using the trilateration method.
Association between family meals vs. diet quality and leisure activities of young rural residents.

INTRODUCTION AND OBJECTIVE Research is required to better understand the variables related to the frequency and cohesiveness of family meals. The aim of the study was to determine the association of eating meals with the family with other types of eating behaviours, sedentary behaviours, and physical activity based on a self-reported questionnaire carried out on a sample of the Polish population of rural adolescents. MATERIAL AND METHODS The analysis was performed among adolescents living in rural areas who participated in a survey conducted within the framework of the 'Trzymaj formę! ' ('Keep Fit! ') programme on eating behaviours. The survey questionnaire was completed by 2,362 teenagers aged 13-16. RESULTS Generally, positive evidence in terms of eating behaviours resulted in a higher likelihood of eating meals together with family. Not eating breakfast resulted in a decreased chance of eating meals together with the family. The results show that with regard to the use of computers at weekends, in the case of using them for a rather limited time, i.e. from 0.5-2 hours a day, there was a greater chance of having meals together. CONCLUSIONS The results confirm the role of educational programmes in increasing the chances of sharing meals with the family, which confirms the validity of conducting this type of education among children and adolescents. It can be also concluded that the more positive eating behaviours of the surveyed junior high students aged 13-16, consisting in more frequent consumption of fruit, greater consumption of cereal products, and more water consumed during the day, is proof of the positive influence of parents on the nutritional behaviour of their children. This is consistent with good intra-family relationships reflected in a greater tendency to spend time together over a family meal.
PREDICTING THE FUTURE OF SALES: A MACHINE LEARNING ANALYSIS OF ROSSMAN STORE SALES

Predictive sales analysis based on previous data is crucial for organizations to make educated decisions and remain competitive. Machine learning is a powerful technology that can automate this process, producing more accurate and informed forecasts. Machine learning has revolutionized many sectors, including sales and marketing. Machine learning algorithms can forecast consumer behaviour and sales trends by analyzing data and discovering patterns, hidden patterns, and linkages. The purpose of this research is to propose an understanding of the usage of machine learning algorithms for predicting future sales of Big Mart enterprises based on past year sales. Utilizing machine learning methods like Linear Regression and Gradient Boost, a thorough study of sales forecasting is undertaken. The performance of the Linear Regression and Gradient Boosting methods was evaluated using metrics such as mean absolute error, mean squared error, R2 score, and Accuracy. The studys findings can help businesses make better informed decisions about resource allocation, production planning, and marketing methods. Overall, machine learning is a powerful tool for forecasting sales and can assist organizations in staying ahead of the curve in a fast changing industry.
Socioeconomic Inequality and Associated Factors Affecting Health Care Utilization among the Elderly: Evidence from the China Health and Retirement Longitudinal Study

Background: Elderly population is particularly vulnerable to socioeconomic disparities. This study assessed inequalities in health care utilization among the elderly in China and identified contributing factors. Methods: This study used data from the 2018 China Health and Retirement Longitudinal Study survey. A non-linear probit regression model based on the Andersen Health Care Utilization Model was used to identify determinants of health care utilization among the elderly. The concentration index (CI) and the decomposition of the CI were calculated to evaluate inequalities in health care utilization among the elderly and identify related contributors. Results: The CI for actual and standardized outpatient visits was 0.0889 and 0.0945, respectively, and the corresponding values for inpatient service utilization were 0.1134 and 0.1176, respectively. Factors that contributed to greater inequalities in the utilization of outpatient and inpatient service included income (73.68% for outpatient service; 85.20% for inpatient service), Urban Employee Basic Medical Insurance (UEBMI) (40.75% for outpatient service; 32.03% for inpatient service) and non-agricultural Hukou status (12.63% for outpatient service; 18.73% for inpatient service). New Rural Cooperative Medical Scheme (NRCMS) (−34.30% for outpatient service; −33.18% for inpatient service) and poor health status (−7.36% for outpatient service; −8.30% for inpatient service) reduced inequalities in outpatient and inpatient utilization. Conclusions: This study found that a key contributor to these inequalities was income, followed by UEBMI coverage. Meanwhile, health care coverage through NRCMS was associated with fewer disparities in health care utilization.
Crystal Structures of a Series of Hydroxamic Acids

The structure of four hydroxamic acids (HA) that show antifungal activities in complexes with several metals is revealed by single crystal diffraction. The structures of HA with C2, C6, C10, and C12 hydrocarbon chains are reported. The smallest member of the series, N-hydroxyacetamide (HA2), crystallizes in the centrosymmetric space group P21/c while those with longer chain lengths N-hydroxyhexanamide (HA6), N-hydroxydecanamide (HA10), and N-hydroxydodecanamide (HA12) crystallize in the space group P21, and display remarkable packing.
An Approach for EEG Data Augmentation Based on Deep Convolutional Generative Adversarial Network

High-quality Electroencephalogram (EEG) signals are crucial for BCI applications. In practice, processing and analysis of EEG are often hindered due to either data scarcity or data imbalance, which would lower the performance of EEG-based classification. In this work, we implemented a data augmentation approach based on Deep Convolutional Generative Adversarial Network (DCGAN), which employed a generator and a discriminator to compete with each other to gain high-quality data for augmentation. In the approach, one-dimensional (ID) convolution layers were used by the discriminator to extract time features of raw signals, and ID transposed convolutional layers were adopted by the generator to synthesize new data. The quality of synthesized data was analyzed in time domain, and as well in both frequency and time-frequency domains by using Fast Fourier Transform and Continuous Wavelet Transform. The experimental results showed that the synthesized data have very similar temporal and spectral features to the raw data, which confirmed the effectiveness of our proposed method in synthesizing useable data from limited original signals with a concise structure and fewer network parameters. This work provides a possible deep learning method for EEG data augmentation with a lot of application potentials in BCI areas.
On Peculiarities of Propagation of a Plane Elastic Wave through a Gradient Anisotropic Layer

The problem of diffraction of a plane elastic wave by an anisotropic layer is studied. The diffraction problem is reduced to a boundary value problem for the layer. The grid method is used for solving the resulting boundary value problem. The diffraction of a plane longitudinal wave by the layer is considered. Some peculiarities of the gain-frequency and the gain-angle characteristics of a normal component of an energy flow of a passed longitudinal wave are numerically studied.
GARCH (1,1) Models with Exogenously-Driven Volatility: Structure and Estimation

This paper considers GARCH(1,1) models in which the time-varying coeﬃcients are functions of the realizations of an exogenous stochastic process. Time series generated by this model are in general nonstationary. Necessary and suﬃcient conditions are given for the existence of non-explosive solutions, and for the existence of moments of these solutions. The asymptotic properties of the quasi-maximum likelihood estimator are derived under mild assumptions and its ﬁnite sample properties are investigated by simulations.
Store-operated Ca2+ entry-sensitive glycolysis regulates neutrophil adhesion and phagocytosis in dairy cows with subclinical hypocalcemia.

Hypocalcemia in dairy cows is associated with a decrease of neutrophil adhesion and phagocytosis, an effect driven partly by changes in the expression of store-operated Ca2+ entry (SOCE)-related molecules. It is well-established in non-ruminants that neutrophils obtain the energy required for immune function through glycolysis. Whether glycolysis plays a role in the acquisition of energy by neutrophils during hypocalcemia in dairy cows is unknown. To address this relationship, we performed a cohort study and then a clinical trial. Neutrophils were isolated at 2 d postcalving from lactating Holstein dairy cows (average 2.83 ± 0.42 lactations, n = 6) diagnosed as clinically healthy (CON) or with plasma concentrations of Ca2+ < 2.0 mmol/L as a criterion for diagnosing subclinical hypocalcemia (HYP, average 2.83 ± 0.42 lactations, n = 6). In the first experiment, neutrophils were isolated from blood of CON and HYP cows and used to analyze aspects of adhesion and phagocytosis function through QRT-PCR along with confocal laser scanning microscopy, mRNA expression of the glycolysis-related gene hexokinase 2 (HKII) and components of the SOCE moiety ORAI calcium release-activated calcium modulator 1 [ORAI1, ORAI2, ORAI3, stromal interaction molecule 1 (STIM1) and STIM2]. Results showed that adhesion and phagocytosis function were reduced in HYP cows. The mRNA expression of adhesion-related syndecan-4 (SDC4), integrin β9 (ITGB9) and integrin β3 (ITGB3) and phagocytosis-related molecules complement component 1 R subcomponent (C1R), CD36, tubulinß1 (TUBB1) were significantly decreased in the HYP group. In the second experiment, to address how glycolysis affects neutrophil adhesion and phagocytosis, neutrophils isolated from CON and HYP cows were treated with 2 μM of the HKII inhibitor Benserazide-d3 or 1 μM of the fructose-bisphosphatase 1 (FBP1) inhibitor MB05032 for 1 h. Results revealed that the HKII inhibitor Benserazide-d3 reduced phagocytosis and the mRNA abundance of ITGB9, and CD36 in the HYP group. The FBP1 inhibitor MB05032 increased adhesion and phagocytosis and increased mRNA abundance of HKII, ITGB9, and CD36 in the HYP group. Lastly, to investigate the mechanism whereby SOCE-sensitive glycolysis affects neutrophil adhesion and phagocytosis, isolated neutrophils were treated with 1 μM of the SOCE activator thapsigagin or 50 μM of the inhibitor 2-APB for 1 h. Results showed that thapsigargin increased mRNA abundance of HKII, ITGB9, and CD36, and increased adhesion and phagocytosis in the HYP group. In contrast, 2-APB decreased mRNA abundance of HKII and both adhesion and phagocytosis of neutrophils in the CON group. Overall, the data indicated that SOCE-sensitive intracellular Ca2+ levels affect glycolysis and help regulate adhesion and phagocytosis of neutrophils during hypocalcemia in dairy cows.
Dynamic Power Control of PMSG-WTG for Low Voltage Recovery in Distribution Network

Aiming at the problem of frequent low voltage in the 10kV distribution network, a control strategy of dynamic power coordination based on the permanent magnet synchronous generator-wind turbine generator (PMSG-WTG) is proposed. By utilizing the ability to dynamically regulate the reactive power of PMSG-WTG, a low voltage recovery of the distribution network will be realized. First, power flow calculation is used to carry out the global diagnosis of the distribution network, and the panoramic model of the distribution network is established. Next, the power flow diagnosis result is used as a benchmark of the reactive power compensation for the distribution network. The optimization calculation for reactive power flow is used to obtain the optimal amount of reactive power compensation from PMSG. Then through the dynamic power control of PMSG-WTG, the active/reactive power from PMSG-WTG is reasonably coordinated to realize a low voltage recovery of the distribution network. Verified by simulation experiments, the strategy effectively reduces the low voltage rate of the distribution network and improves the voltage stability of the distribution network.