Miracle-dz/UniFAR-FTUs huggingface dataset:
A Doppler Effect Based Framework for Wi-Fi Signal Tracking in Search and Rescue Operations

We consider rescue missions in postdisaster scenarios with particularly difficult environments where no infrastructure is available. Given the increasing popularity of smartphones and wearable devices, this paper proposes a rescue system which uses the Doppler effect to determine the direction of Wi-Fi signals emitted from disaster survivors’ mobile devices to help rescuers quickly locate the survivors. First, we investigate the impact of the search and rescue environment on the direction-finding accuracy of Doppler effect to identify the major challenge and several implementation issues of the system. Then, to address the major challenge of Doppler shifts being too small, we propose an algorithm, which consists of three mechanisms, to solve the problem with the objective of maximizing the direction-finding accuracy. These mechanisms improve the direction-finding accuracy via eliminating the frequency fluctuation as much as possible and improving the sensitivity on small frequency shifts. Also, an active detection scheme is proposed to ensure that the survivors’ devices emit steady and continuous Wi-Fi signals, along with a decision logic to minimize energy consumption by the active scheme. We implement the rescue system as a mobile application on Android smartphones and conduct extensive experiments in real-world environments. Results show that the proposed system can reduce rescue times by up to half while consuming reasonable amounts of energy from survivor smartphones.
Cytotoxicity and mutagenicity of cola and grape flavored soft drinks in bone marrow cells of rodents

Devido ao grande consumo de refrigerantes no Brasil e no mundo nos ultimos anos, e tendo em vista que alguns dos componentes presentes na composicao destes possuem potenciais danosos para os organismos, em especial o humano, o objetivo deste trabalho foi avaliar o potencial citotoxico e mutagenico de uma marca de refrigerante sabor Cola e uma de sabor Uva. Foram utilizadas como sistema-teste as celulas de medula ossea de ratos Wistar, tratados via gavagem com dose unica do refrigerante sabor Cola ou Uva e, em seguida, fornecidos ad libitum (no lugar da agua), por 24 horas. Foi feito um controle negativo, administrando agua, em dose unica, e um controle positivo administrando ciclofosfamida, via intraperitoneal. A analise estatistica mostrou que os refrigerantes sabor Cola e Uva nao foram citotoxicos. Entretanto, o refrigerante sabor Cola foi mutagenico neste sistema-teste e tempo de tratamento. Desta forma, este estudo serve de alerta para o consumo de refrigerantes sabor Cola e indica que estudos subcronicos e cronicos com os refrigerantes devem ser realizados, a fim avaliar os efeitos mutagenicos e citotoxicos dessas substâncias a longo prazo.
The Effects of O2O Service Factors on Sequel Service Adoption: O2O Service Quality Dimensions and Perceived Fit

As the mobile-based O2O industry grows, many existing O2O service providers are attempting to expand their businesses by service diversification. According to this trend, the current study investigated the effects of the parent O2O service-related factors on the user adoption of a sequel service. Specifically, a total of ten dimensions encompassing the whole service delivery process that flows from a convenient mobile app to an offline area were identified. Another factor that this study considered is users' fit perception between the parent and the sequel O2O service. To empirically test the conceptual model, this study carried out analyses for two different types of service: a food delivery (Case 1) and taxi-hailing O2O service (Case 2). The findings were drawn from a total of 444 South Korean respondents who have experience with using the parent O2O services but not with the sequel services. Results found that, for Case 1, informativeness and security of online service quality, and reliability and empathy of offline service quality were significant antecedents of satisfaction with the O2O service. For Case 2, efficiency of online service quality, ubiquity of O2O-specific service quality, and empathy were found to significantly affect O2O satisfaction. Results of both cases showed that perceived fit was a significant antecedent of intention to use a sequel service when attitude toward a service extension mediated. O2O satisfaction was found to be a crucial element influencing both O2O loyalty and intention to use a sequel service.
Who will Attend This Event Together? Event Attendance Prediction via Deep LSTM Networks

Event-based social network (EBSN) services have emerged as a new platform on which users can choose events of interest to attend in the physical world. Over years, there are growing research interests in predicting whether certain actors will participate in an event together. In this work, we refer to this task as the event attendance prediction problem and aim to address the predictability of individuals’ event attendance. In real-world settings, the factors that influence an individual’s attendance may change over time, leading to the dynamic nature of individuals’ behavior. However, existing event attendance prediction methods cannot deal with such dynamic scenarios. To address this issue, we propose an end-to-end Deep Event Attendance Prediction (DEAP) framework—a three-level hierarchical LSTM architecture—to explicitly model users’ multi-dimensional and evolving preferences. Extensive experiments on three real-world datasets demonstrate that DEAP significantly outperforms the state-of-theart techniques across various settings.
Pharmacogenetic Aspects of the Interaction of AT1 Receptor Antagonists With ATP-Binding Cassette Transporter ABCG2

The ATP-binding cassette transporter ABCG2 (BCRP and MXR) is involved in the absorption, distribution, and elimination of numerous drugs. Thus, drugs that are able to reduce the activity of ABCG2, e.g., antihypertensive AT1 receptor antagonists (ARBs), may cause drug-drug interactions and compromise drug safety and efficacy. In addition, genetic variability within the ABCG2 gene may influence the ability of the transporter to interact with ARBs. Thus, the aim of this study was to characterize the ARB-ABCG2 interaction in the light of naturally occurring variations (F489L, R482G) or amino acid substitutions with in silico-predicted relevance for the ARB-ABCG2 interaction (Y469A; M483F; Y570A). For this purpose, ABCG2 variants were expressed in HEK293 cells and the impact of ARBs on ABCG2 activity was studied in vitro using the pheophorbide A (PhA) efflux assay. First, we demonstrated that both the F489L and the Y469A substitution, respectively, reduced ABCG2 protein levels in these cells. Moreover, both substitutions enhanced the inhibitory effect of candesartan cilexetil, irbesartan, losartan, and telmisartan on ABCG2-mediated PhA efflux, whereas the R482G substitution blunted the inhibitory effect of candesartan cilexetil and telmisartan in this regard. In contrast, the ARB-ABCG2 interaction was not altered in cells expressing either the M483F or the Y570A variant, respectively. In conclusion, our data indicate that the third transmembrane helix and adjacent regions of ABCG2 may be of major importance for the interaction of ARBs with the ABC transporter. Moreover, we conclude from our data that individuals carrying the F489L polymorphism may be at increased risk of developing ABCG2-related drug-drug interactions in multi-drug regimens involving ARBs.
HBV suppresses ZHX2 expression to promote proliferation of HCC through miR‐155 activation

Initiation of hepatocellular carcinoma (HCC) by chronic hepatitis B virus (HBV) infection is a complex process that includes both oncogene activation and tumor suppressor inhibition. The HBV X (HBx) protein has an important and complex role in processes leading to HCC. We previously identified the mammalian Zinc fingers and homeoboxes 2 (ZHX2) gene as an HCC‐associated tumor suppressor gene. In the present study, we investigated whether the oncogenic properties of HBV and, more specifically, HBx, involved ZHX2 silencing. Our data indicates that ZHX2 expression is significantly decreased in tumor tissues from HBV‐positive HCC patients and livers from HBV transgenic mice. In vitro and in vivo studies confirmed that HBV‐encoded proteins, particularly HBx, inhibits both the expression and tumor suppression properties of ZHX2. Further analyses identified miR‐155, a well‐known oncomiR in various cancers, as an important link between HBx and ZHX2 inhibition. Increased miR‐155 levels were found in HBV‐positive tumors, livers of HBV transgenic mice and HBx‐overexpressing hepatoma cell lines. MiR‐155 overexpression reduced ZHX2 levels via miR‐155 seed sites in the ZHX2 3′UTR, whereas blocking miR‐155 levels led to increased ZHX2 levels. Taken together, our data indicate that HCC‐promoting properties of HBV may include ZHX2 silencing via a miR‐155 dependent pathway and suggests a novel therapy for HBV‐related HCC.
The Effects of Fiscal and Monetary Discipline on Budgetary Outcomes

This paper extends the game-theoretic model of Von Hagen and Harden (1995) that analyzes the impact of fiscal discipline on budgetary outcomes.It analyzes the effects on budgetary outcomes of both fiscal and monetary discipline, which are evaluated with respect to the relevant institutional rules. The model predicts that while both inflation and budget deficits are negatively associated with fiscal discipline, they may be positively associated with monetary discipline, proxied by central bank independence. This result obtains due to optimizing agents who internalize the burden of spending: inflation. Although not conclusive due to data limitations, the empirical findings of the paper support these predictions.
Research Of Two Class Confidence Classification Based On One Class Classifier

Abstract To have simple and efficient confidence machine learning is an important focus in confidence machine researches. Using one class classifier as a tool, the paper applies it twice for two-class classification problems. Setting reject options and a multi-layer ensemble learning method are used in this study. In this method there is no necessity to set up a specific threshold and the confidence computation is omitted. Realizing five experiments, the study proves it as efficient.
Kink and Delta Self-Actuating Platinum Micro-Robot

Catalytic micro- and nanorobots exhibit self-propulsion in the presence of chemical fuels such as glucose, hydrogen peroxide. Generally, swimmers incorporate a catalyst as a part of their structure for the decomposition of a chemical fuel. Several applications such as active drug delivery, minimally invasive surgery, and water remediation, have been envisaged. In this letter, we investigated the influence of geometric variable of catalytic microrobot to their swimming behaviors in hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) solutions. V-shaped microrobots with various opening angles (45°, 90°, and 135°), and triangle-shaped microrobots that have similar dimensions with V-shaped microrobots, have been fabricated by focused-ion-beam etching on commercial platinum microwires. Swimming tests were performed in 15% and 30% H<sub>2</sub>O<sub>2</sub> solutions. We have found that V-shaped microrobot with 45° opening angle showed a superior swimming speed of 4.3 μm/s in 15% H<sub>2</sub>O<sub> 2</sub> solution, while 90° microrobot exhibits a speed of 1.52 μm/s. The 135° V-shaped microrobot and all triangle-shaped microrobots have not shown any obvious motions in 30% H<sub>2</sub>O<sub>2</sub> solution. Our observation that the swimming performances of various shaped microrobots change in tandem proves the necessity of structural asymmetry in designing catalytic micro- and nanorobots.
Integrin αvβ3–associated DAAM1 is essential for collagen-induced invadopodia extension and cell haptotaxis in breast cancer cells

The formin protein dishevelled-associated activator of morphogenesis 1 (DAAM1) polymerizes straight actin filaments and mediates migration of cancer cells. However, how DAAM1 governs cell haptotaxis in response to collagen remains unexplored in breast cancer cells. We hypothesized that DAAM1 mediates invadopodia extension and cell haptotaxis in response to type IV collagen in association with integrin receptors. Using Boyden chamber membranes coated with type IV collagen, we show here that type IV collagen activates both DAAM1 and Ras homolog family member A (RHOA) and promotes haptotaxis of MDA-MB-231 and MDA-MB-453 breast cancer cells, a process abolished by treatment with the integrin αvβ3 inhibitor cyclo(-RGDfK). shRNA-mediated knockdown of DAAM1 or a dominant-negative DAAM1 mutation (N-DAAM1) significantly decreased collagen-induced RHOA activity and the assembly of stress fibers, invadopodia extension, and cell haptotaxis. Immunoprecipitation and pulldown assays revealed that integrin αvβ3 is associated with, but only indirectly binds to, the C-terminal DAD domain of DAAM1 in mammalian cells. Blockade of RHOA activation with a specific inhibitor (CCG-1423) or via a dominant-negative RHOA mutation (RHOA-N19) suppressed collagen-induced invadopodia extension and haptotaxis of the MDA-MB-231 and MDA-MB-453 cells. Immunoblotting and immunofluorescence assays indicated high DAAM1 and RHOA expression in invadopodia, which was abolished by cyclo(-RGDfK) treatment or DAAM1 knockdown. These findings have uncovered an integrin αvβ3/DAAM1/RHOA signaling pathway for type IV collagen–induced invadopodia extension and haptotaxis in breast cancer cells. Targeting this pathway may be a means for reducing invasiveness and metastasis of breast cancer.
Development of a Food-based index of dietary 2 inflammatory potential for Koreans and its 3 relationship with metabolic syndrome 4 5

relationship with metabolic syndrome 4 5 Woori Na1, Tae Yang Yu2,*, Cheongmin Sohn1,* 6 7 1 Department of Food and Nutrition, Wonkwang University, Iksan, Republic of Korea 8 2 Division of Endocrinology and Metabolism, Department of Medicine, Wonkwang University School of 9 Medicine, Iksan, Republic of Korea 10 * Correspondence : ccha@wku.ac. kr(S.C); yutaeyang@gmail.com(Y.T.Y); Tel: +82-63-850-6656(S.C); +82-63-85911 2670(Y.T.Y) 12 13 * Tae Yang Yu and Cheongmin Sohn contributed equally to this work. 14 15 16 Abstract: Inflammation is known to be risk factors for metabolic diseases. The purpose of this study 17 was to develop a Food-based Index of Dietary Inflammatory Potential (FBDI) and conduct its 18 validation assessment. This study analyzed raw data from Korean Genome and Epidemiology Study 19 2012-2014 data of 17,771 people. We carried out the correlation analysis between 51 food groups and 20 hs-CRP. The FBDI was developed by multiple regression method with hs-CRP and selected 17 food 21 group. For the validation of FBDI, 7,795 people in the 6th Korea National Health and Nutrition 22 Examination Survey (KNHAES) was used. Binary logistic regression analysis was used for risk 23 analysis of metabolic syndrome and FBDI. The FBDI model included that 7 were composed of anti24 inflammatory food groups and 3 of inflammatory food groups. The FBDI was calculated by 25 multiplying the intake of food group by β coefficients. KNHAES were included in the validation of 26 FBDI. The risk of metabolic syndrome was found to be 2.152 times higher in the group with the 27 highest FBDI than in the group with the lowest one (95% Cl:1.458-3.178, p for trend=0.000). This study 28 developed FBDI reflecting food intake for Koreans, which showed a significant relationship with the 29 risk of metabolic syndrome. 30 31
Impact of mismatch-repair deficiency on the colorectal cancer immune microenvironment

Colorectal cancer patients respond inconsistently to immunotherapies, likely due to the immune microenvironments around their tumors. We analyzed the relationship between deficient mismatch repair (dMMR) and the colorectal cancer immune microenvironment to identify predictors of effective immunotherapy. Colorectal cancer patients (n=113) who had undergone surgical resection were divided into dMMR and proficient mismatch repair (pMMR) groups. The levels of immune checkpoint proteins, including programmed cell death 1 (PD-1), programmed cell death 1 ligand 1 (PD-L1), indoleamine 2,3 dioxygenase and CD8 were assessed immunohistochemically. The percentage of tumor-infiltrating lymphocytes strongly positive for PD-1 (score=3) was higher in the dMMR than pMMR group (79.3% vs. 41.7%; p=0.003). The groups showed similar tumor cell PD-L1 positivity rates (34.5% vs. 35.7%, p=0.905) and PD-L1 intensity levels on immune cell infiltrates (86.2% vs. 84.5%, p=0.964). However, when a cut-off value of 80% was used for PD-L1 positivity, the rate of PD-L1 positivity on immune cell infiltrates differed between the groups (51.7% vs. 22.6%, p=0.003). The rate of high indoleamine 2,3 dioxygenase expression was greater in the dMMR than pMMR group (55.2% vs. 36.9%, p=0.026). CD8+ T cells were elevated in the dMMR group in both compartments (p=0.017 for tumor-infiltrating lymphocytes and stroma; p=0.038 for invasive front). Thus the immune microenvironment of dMMR colorectal cancer differs from that of pMMR colorectal cancer.
Designed Strategies for Fluorescence-Based Biosensors for the Detection of Mycotoxins

Small molecule toxins such as mycotoxins with low molecular weight are the most widely studied biological toxins. These biological toxins are responsible for food poisoning and have the potential to be used as biological warfare agents at the toxic dose. Due to the poisonous nature of mycotoxins, effective analysis techniques for quantifying their toxicity are indispensable. In this context, biosensors have been emerged as a powerful tool to monitors toxins at extremely low level. Recently, biosensors based on fluorescence detection have attained special interest with the incorporation of nanomaterials. This review paper will focus on the development of fluorescence-based biosensors for mycotoxin detection, with particular emphasis on their design as well as properties such as sensitivity and specificity. A number of these fluorescent biosensors have shown promising results in food samples for the detection of mycotoxins, suggesting their future potential for food applications.
Wasabi 6‐(methylsulfinyl)hexyl isothiocyanate induces apoptosis in human colorectal cancer cells through p53‐independent mitochondrial dysfunction pathway

6-(Methylsulfinyl)hexyl isothiocyanate (6-MSITC), a major bioactive compound in Wasabi [Wasabia japonica (Miq.) Matsum. ], has revealed the inhibitory effect on colon carcinogenesis in rat cancer model although the underlying mechanism is unclear. In this study, we used two types of human colorectal cancer cells (HCT116 p53+/+ and HCT116 p53-/- ) to investigate the anticancer activity and molecular mechanisms of 6-MSITC. Interestingly, 6-MSITC inhibited the cell proliferation in both types of cells with similar IC50 value although a light increase in the phosphorylation and accumulation of P53 protein was observed in HCT116 p53+/+ cells at 24 h after treatment. In addition, 6-MSITC increased the ratio of proapoptotic cells in both types of cells with the same fashion in a p53-independent manner. The data from mitochondrial analysis revealed that 6-MSITC enhanced the ratio of proapoptotic B-cell lymphoma-2-associated X protein/antiapoptotic myeloid cell leukemia 1, and sequentially caused mitochondrial membrane potential (ΔΨm ) loss, cytochrome c release, and caspase-3 activation in both types of cells. Taken together, Wasabi 6-MSITC induced apoptosis of human colorectal cancer cells in p53-independent mitochondrial dysfunction pathway. These findings suggest that 6-MSITC might be a potential agent for colon cancer chemoprevention although with p53 mutation. © 2018 BioFactors, 2018.
Predicting the Use of Brand Application Based on a TRAM

ABSTRACT The purpose of this study is to explore factors that affect the acceptance of brand-sponsored applications (brand apps) on the basis of the technology readiness and acceptance model (TRAM). This study explains mobile application users’ preferences in today’s rapidly changing customer communication environment. The study analyzes the data collected with reference to four dimensions of the TRAM. Two of these dimensions – optimism and innovativeness – are used to measure positive technology readiness, and another two – discomfort and insecurity – are used to measure negative technology readiness. The analysis produces a better understanding of the technology readiness index and the technology acceptance model. Multi-group confirmatory factor analysis with covariance structure analysis was conducted using EQS6b and data obtained from a survey of airline customers (n = 1,000). Support for the research model was statistically significant, indicating that positive technology readiness and the negative technology readiness played important roles in the formation in respondents of perceived ease of use and perceived usefulness as well as in generating satisfaction with brand apps and the intention to continuing using a brand app. The study found that negative technology readiness did not significantly affect the perceived ease of use. Applying the Kano model, the study explains the formation of consumer attitudes towards brand apps. Theoretical and practical implications and limitations are discussed.
The Predictive Power of Limited Information in Preliminary Analytical Review: An Empirical Study

Substantive auditing procedures are applied to accounting data to determine whether material accounting error may be present. Such auditing procedures can be classified into two broad types: tests of details of transactions and balances and analytical review procedures applied to financial information. An analytical review involves the study and comparison of relationships among data. One use of analytical review is to predict or identify the need for other auditing procedures such as extensive tests of details. The effectiveness and efficiency of analytical review in the predictive mode depends upon (1) the presence of accounting error, and (2) the ability of the procedure to detect the error. There appears to be no published work on the distributions of auditor-initiated adjustments and very limited work on the effectiveness and efficiency of analytical review in predicting such adjustments. In this paper, I present distributional statistics on auditor-initiated adjustments for a sample of small manufacturing firms. I also present prediction results for widely applicable analytical review procedures which use limited and readily available information.
Exploiting Images for Video Recognition with Hierarchical Generative Adversarial Networks

Existing deep learning methods of video recognition usually require a large number of labeled videos for training. But for a new task, videos are often unlabeled and it is also time-consuming and labor-intensive to annotate them. Instead of human annotation, we try to make use of existing fully labeled images to help recognize those videos. However, due to the problem of domain shifts and heterogeneous feature representations, the performance of classifiers trained on images may be dramatically degraded for video recognition tasks. In this paper, we propose a novel method, called Hierarchical Generative Adversarial Networks (HiGAN), to enhance recognition in videos (i.e., target domain) by transferring knowledge from images (i.e., source domain). The HiGAN model consists of a \emph{low-level} conditional GAN and a \emph{high-level} conditional GAN. By taking advantage of these two-level adversarial learning, our method is capable of learning a domain-invariant feature representation of source images and target videos. Comprehensive experiments on two challenging video recognition datasets (i.e. UCF101 and HMDB51) demonstrate the effectiveness of the proposed method when compared with the existing state-of-the-art domain adaptation methods.