Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Chemotherapy Response with Serum Squamous Cell Carcinoma Antigen Level in Cervical Cancer Patients: A Prospective Cohort Study

MRI does not always reflect tumor response after chemotherapy. Therefore, it is necessary to explore additional parameters to more accurately evaluate tumor response for the subsequent clinical determination about radiotherapy or radical surgery. A training cohort and an external validation cohort were used to examine the predictive performance of SCC-ag to evaluate tumor response from teaching hospital of Harbin Medical University. The study included 397 women with SCC (age: 28–73 years). Patients consecutively enrolled between August 2008 and January 2010 (n = 205) were used as training cohort. Patients consecutively enrolled between February 2010 and May 2011 (n = 192) were used as validation cohort. A multivariate regression analysis of the data from the training cohort indicated that serum SCC-ag level is an independent factor for neo-adjuvant chemotherapy (NACT) response. Analysis of the data from the validation cohort suggested that chemotherapy response could be more accurately predicted by SCC-ag than by magnetic resonance imaging (MRI) (sensitivity (Se): 0.944 vs. 0.794; specificity (Sp): 0.727 vs. 0.636; positive predictive value (PPV): 0.869 vs. 0.806; negative predictive value (NPV): 0.873 vs. 0.618; the area under ROC curve (AUC): 0.898 vs. 0.734). Combining SCC-ag with MRI was more powerful than MRI alone (Se: 0.952 vs. 0.794; Sp: 0.833 vs. 0.636; PPV: 0.916 vs. 0.806; NPV: 0.902 vs. 0.618; AUC: 0.950 vs. 0.734). Our study indicates that serum SCC-ag level is a sensitive and reliable measure to evaluate cervical cancer response to chemotherapy. Using SCC-ag in combination with MRI findings further improves the predictive power.
INTEGRATING ERRORS INTO THE TRAINING PROCESS: THE FUNCTION OF ERROR MANAGEMENT INSTRUCTIONS AND THE ROLE OF GOAL ORIENTATION

Error management training explicitly allows participants to make errors. We examined the effects of error management instructions (“rules of thumb” designed to reduce the negative emotional effects of errors), goal orientation (learning goal, prove goal, and avoidance goal orientations) and attribute x treatment interactions on performance. A randomized experiment with 87 participants consisting of 3 training procedures for learning to work with a computer program was conducted: (a) error training with error management instructions, (b) error training without error management instructions; and (c) a group that was prevented from making errors. Results showed that short-and medium-term performance (near and far transfer) was superior for participants of the error training that included error management instructions, compared with the two other training conditions. Thus, error management instructions were crucial for the high performance effects of error training. Prove and avoidance goal orientation interacted with training conditions.
A Massively Parallel Approach for Nonlinear Interdependency Analysis of Multivariate Signals with GPGPU

Nonlinear interdependency (NLI) analysis is an effective method for measurement of synchronization among brain regions, which is an important feature of normal and abnormal brain functions. But its application in practice has long been largely hampered by the ultra-high complexity of the NLI algorithms. We developed a massively parallel approach to address this problem. The approach has dramatically improved the runtime performance. It also enabled NLI analysis on multivariate signals which was previously impossible.
Phylogenetic and Pathotypical Analysis of Two Virulent Newcastle Disease Viruses Isolated from Domestic Ducks in China

Two velogenic Newcastle disease viruses (NDV) obtained from outbreaks in domestic ducks in China were characterized in this study. Phylogenetic analysis revealed that both strains clustered with the class II viruses, with one phylogenetically close to the genotype VII NDVs and the other closer to genotype IX. The deduced amino acid sequence of the cleavage site of the fusion (F) protein confirmed that both isolates contained the virulent motif 112RRQK/RRF117 at the cleavage site. The two NDVs had severe pathogenicity in fully susceptible chickens, resulting in 100% mortality. One of the isolates also demonstrated some pathogenicity in domestic ducks. The present study suggests that more than one genotype of NDV circulates in domestic ducks in China and viral transmission may occur among chickens and domestic ducks.
Measuring the effectiveness of the WWW as an information resource

As the already vast number of home Web users continues to grow the Web is emerging as an alternative medium for satisfying information needs that arise outside the organisational/work domain. As the number of organisations using the Web as a medium for disseminating information increases there has been little, if any, evaluation of the effectiveness of the Web as an information resource for satisfying information need. This paper reports on research that builds on recent work developing conceptually-based scales for evaluating the extent to which Web services satisfy information needs that arise outside the traditional organisational/work domain. The results of a Web-based survey which generated 720 responses are reported.
Application of UCT Search to the Connection Games of Hex, Y, *Star, and Renkula!

Play-out analysis has proved a succesful approach for artifi cial intelligence (AI) in many board games. The idea is to play numerous times from the current state to th e end, with randomness in each play-out; a good next move is then chosen by analyzing the set of play-ou ts and their outcomes. In this paper we apply play-out analysis to so-called ‘connection games’ , abstract board games where connectivity of pieces is important. In this class of games, evaluating th e game state is difficult and standard alphabeta search based AI does not work well. Instead, we use UCT se arch, a play-out analysis method where the first moves in the lookahead tree are seen as multi-a rmed bandit problems and the rest of the play-out is played randomly using heuristics. We demons trate the effectiveness of UCT in four different connection games, including a novel game called R nkula!
Taking as a Means of Reducing Negative Stereotyping of Individuals Who Speak English as a Second Language

As a test of the hypothesis that perspective taking reduces stereotyping of individuals who speak English as a second language, 160 college students participated in a 2 ¥ 2 factorial experiment. Participants heard an audio recording of either a native or non-native speaker of English. Then, they wrote a paragraph about the speaker either with instructions to take the speaker’s perspective or with no perspectivetaking instructions. Finally, they rated the speaker on characteristics related to ability and accomplishment. Overall, the participants rated the native speaker of English more highly than the non-native speaker. However, supporting the hypothesis, participants instructed to take the perspective of the non-native speaker rated her more highly than did participants not instructed to take her perspective.
Path Ranking with Path Difference Sets for Maintaining Knowledge Base Integrity

Knowledge base completion (KBC) involves in discovering missing facts. However, knowledge changes over time. Some facts need to be removed from knowledge base (KB) to keep knowledge base integrity (KBI) while new facts are inserted or old facts are deleted. This paper proposes a path-based learning model to learn the dependency of dynamic relations automatically. In this way, we can eliminate the conflicting facts and keep KB clean. That would be a significant benefit for KBC and other tasks using KB.
Invited: Can IoT be secured: Emerging challenges in connecting the unconnected

Embedded, mobile, and cyberphysical systems are becoming ubiquitous and are used in many applications, from consumer electronics, industrial control systems, modern vehicles, to critical infrastructures. Current trends and initiatives, such as Internet of Things (IoT) and smart cities, promise innovative business models and novel user experiences through strong connectivity and effective use of next generation embedded devices. These systems generate, process, and exchange vast amount of security-critical and privacy-sensitive data, which makes them attractive targets of attacks. Cyberattacks on IoT systems are highly critical since they may cause physical damage and threaten human lives. The complexity of these systems, the lack of security and privacy by design for current IoT devices, and potential impact of cyberattacks will bring about new threats. This paper gives an overview on the related security and privacy challenges, and an outlook on possible solutions towards a holistic security framework for IoT systems.
54 A Time Gap in the Proximity-Park Use Relationship

EXECUTIVE SUMMARY: Using secondary data from a communify Needs Assessment, objective and subjective measures were used to investigate ihe relationship between household proximify and park use. Data were collected from an effective sample of 458 cify respondents in Texas. The objective measures used Straight-line and Network distances from a respondent's home to the nearest park. Both measures confirmed that respondents living within . 25, . 5, and . 75 miles of a park were significantly more likely to use parks than those residing beyond those points. Probabilify of use pattems indicated that differences between proximate and non-proximate households increase with distance. The subjective measure yielded the highest probability of use and showed that respondents who perceived they had the abilify to access a park on foot or by bicycle were 9% more likely to use parks. The study also provides an example of how data collected in typical community needs assessment can be used for studying advanced topics that support research concepts as well as park positioning and policies.
On the (a)symmetry between the perception of time and space in large‐scale environments

Cross‐dimensional interference between spatial and temporal processing is well documented in humans, but the direction of these interactions remains unclear. The theory of metaphoric structuring states that space is the dominant concept influencing time perception, whereas time has little effect upon the perception of space. In contrast, theories proposing a common neuronal mechanism representing magnitudes argue for a symmetric interaction between space and time perception. Here, we investigated space‐time interactions in realistic, large‐scale virtual environments. Our results demonstrate a symmetric relationship between the perception of temporal intervals in the supra‐second range and room size (experiment 1), but an asymmetric relationship between the perception of travel time and traveled distance (experiment 2). While the perception of time was influenced by the size of virtual rooms and by the distance traveled within these rooms, time itself affected only the perception of room size, but had no influence on the perception of traveled distance. These results are discussed in the context of recent evidence from rodent studies suggesting that subsets of hippocampal place and entorhinal grid cells can simultaneously code for space and time, providing a potential neuronal basis for the interactions between these domains.
Enhanced Naive Bayes Classifier for real-time sentiment analysis with SparkR

Correct and fast sentiment analysis of continuously generated data such as Twitter message is very important for providing real-time customized service to the users. While Naive Bayes Classifier(NBC) is the most popular classifier employed for sentiment analysis, the existing studies on it have been based on single server environment. Consequently, they are not adequate for handling real-time stream data. In this paper, thus, we propose a scheme adopting the Laplace Smoothing technique with Binarized NBC for enhancing the accuracy, and employing SparkR for speed-up via distributed and parallel processing. Computer simulation with Sentiment140 reveals that the proposed approach consistently allows higher accuracy than the existing schemes. It also identifies that the SparkR environment allows faster training than R.
Adherence to National Dietary Guidelines in Association with Oral Health Impact on Quality of Life

We aimed to assess the association between oral health, in terms of its impact on quality of life, and diet quality expressed as adherence to dietary guidelines. We analyzed cross-sectional data from the French NutriNet-Santé general population-based e-cohort (N = 18,263 adults; mean age = 56.5 ± 13.8 years). The main independent variable, oral health-related quality of life, was assessed in 2016 with the GOHAI instrument (maximum score = 60). The main dependent variable, diet’s nutritional quality, was assessed with the mPNNS-GS score (maximum score = 13.5) measuring adherence to French dietary guidelines and computed on the basis of repeated 24-h dietary records. Multivariable linear regression models were fit. Mean GOHAI score was 54.5 ± 4.3 and mean mPNNS-GS score was 7.7 ± 1.6. Among participants aged 18–64 years, those scoring ≤50 on GOHAI (poor oral health with a detrimental impact on quality of life) were less likely to adhere to dietary guidelines than participants scoring 57–60 points (good oral health) (beta = −0.18, 95% CI: −0.26, −0.09; p < 0.0001). Among participants aged 65+ years, those scoring 51–56 points on GOHAI (average oral health with some negative impact on quality of life) were less likely to adhere to dietary guidelines than were participants scoring in the range 57–60 (beta = −0.23, 95% CI: −0.33, −0.13; p < 0.0001). The findings suggested modest age-dependent associations between oral health-related quality of life and diet quality. Confirmation is needed longitudinally with representative samples and accounting for diet quality evolution.
Serum heat shock protein 70 in preeclampsia and normal pregnancy: A systematic review and meta-analysis

Background: Preeclampsia, a severe complication of human pregnancy is one of the main causes of maternal, fetal, and neonatal morbidity and mortality with unclear pathogenesis. Heat shock protein 70 (HSP70) is one of the factors that can mediate cytoprotective, antiapoptotic, and immune regulatory effects. Objective: This meta-analysis was performed with aim to evaluate HSP70 in preeclampsia and normal pregnancy. Materials and Methods: The original publications reporting the serum HSP70 levels in preeclampsia and normal pregnancies published before November 2015 were identified by searching PubMed Central, Scopus, and ISI Web of Knowledge databases by two researchers, separately. The keywords were” preeclampsia” and “HSP70” or “Heat shock protein 70” Statistical analyses were performed using STATA software (version 11). Results: Out of 127 studies, seven eligible case-control studies were identified which consists of 350 preeclampsia and 429 normal pregnancies. Our pooled analysis of data from 7 studies which met the inclusion criteria, provides evidence that there is a significant association between HSP70 and preeclampsia. Cochran's test results showed the heterogeneity of the studies (p<0.001) and the I2 index was 91%. The standardized mean differences (SMD) based on a random effect model with trim and fill method was 0.92 (95% CI: 0.33-1.51); also there was a significant association between HSP70 and preeclampsia (Z=3.07, p=0.002). Conclusion: The results showed that serum HSP70 concentration was significantly higher in preeclamptic patients than the control group. Therefore HSP70 may be identified as a diagnostic factor.
The Inverse Problem Applied to the Observed Clutch Frequency of Leatherback Turtles from Yalimapo Beach, French Guiana

ABSTRACT Observed clutch frequency is the observed number of clutches deposited by a female turtle in a single nesting season. This value is generally biased compared to the true nest number because some clutches could have been missed by beach patrols. We constructed an analytical model to search for the distribution of observed clutch frequency according to 1) the distribution of the clutch number per female, 2) the probability of female capture on the beach, and 3) the probability that a female was an intraseasonal one-time nester. We used data from 1987 to 2003 collected on leatherbacks nesting on Yalimapo beach in French Guiana to test the power of the model. Whereas for 13 of the 16 years, the model produced estimates concurrent with the field data; for the other 3 years, there was no concordance, indicating a lack of power of the model. We describe a required level of capture effort on the beach that will be sufficient for the model to adequately describe clutch frequency across the nesting season. This level is the product of the proportion of the season monitored times the instantaneous probability of the presence and the detection for a particular female during 1 nesting event.
Augmentation Techniques for Mobile Cloud Computing

Despite the rapid growth of hardware capacity and popularity in mobile devices, limited resources in battery and processing capacity still lack the ability to meet increasing mobile users’ demands. Both conventional techniques and emerging approaches are brought together to fill this gap between user demand and mobile devices’ limited capabilities. Recent research has focused on enhancing the performance of mobile devices via augmentation techniques. Augmentation techniques for mobile cloud computing refer to the computing paradigms and solutions to outsource mobile device computation and storage to more powerful computing resources in order to enhance a mobile device’s computing capability and energy efficiency (e.g., code offloading). Adopting augmentation techniques in the heterogeneous and intermittent mobile cloud computing environment creates new challenges for computation management, energy efficiency, and system reliability. In this article, we aim to provide a comprehensive taxonomy and survey of the existing techniques and frameworks for mobile cloud augmentation regarding both computation and storage. Different from the existing taxonomies in this field, we focus on the techniques aspect, following the idea of realizing a complete mobile cloud computing system. The objective of this survey is to provide a guide on what available augmentation techniques can be adopted in mobile cloud computing systems as well as supporting mechanisms such as decision-making and fault tolerance policies for realizing reliable mobile cloud services. We also present a discussion on the open challenges and future research directions in this field.
Evaluation of combined medical and surgical treatment in nasal polyposis – III. Correlation between symptoms and CT scores before and after surgery for nasal polyposis

Conclusion. Computed tomography (CT) in nasal polyposis (NP) patients has three functions before any treatment. CT provides objective evidence of the disease and precise topography of the disease, and is an indicator of the disease severity. After functional endoscopic sinus surgery (FESS), CT is an indicator of the residual disease severity and permits detection of asymptomatic mucoceles. Objective. NP affects nearly 4% of the population. CT has become the examination of choice for the exploration of NP. FESS is accepted for NP treatment in the setting of failure of medical management. The aim of this study was to find out whether any correlation exists between symptom severity and CT scan score before and after FESS. Patients and methods. A total of 114 CT scans were performed in NP patients without contrast medium before and after FESS (mean follow-up 5 years), and were scored according to the Lund-MacKay system. Results. Lund-MacKay scores before treatment ranged from 8 to 24. There was a correlation between symptom and CT scores before any treatment. Postoperative Lund-MacKay scores ranged from 0 to 24. There was a correlation between symptom and CT scores after surgery. There was no correlation between postoperative symptom and baseline CT scores. Eleven asymptomatic mucoceles were found.
V2V communication modeling for environmental channel throughput and radio propagation

Safety and non-safety application services require a guarantee of network performance, mostly in terms of throughput and packet collision. The current radio propagation path loss models use mean additional attenuation sophisticated fading model and do not consider the obstacle caused due to obstacles of vehicles in LOS of transmitting and receiving vehicles. This affects the attenuation signal at receiving vehicles. Therefore, we present an obstacle based radio propagation model that considers the effect caused by the presence of obstructing vehicles in LOS. The proposed model is evaluated under different environmental conditions and in terms of throughput, collision and transmission efficiency.
Hierarchical parsing and semantic navigation of full body CT data

Whole body CT scanning is a common diagnosis technique for discovering early signs of metastasis or for differential diagnosis. Automatic parsing and segmentation of multiple organs and semantic navigation inside the body can help the clinician in efficiently obtaining accurate diagnosis. However, dealing with the large amount of data of a full body scan is challenging and techniques are needed for the fast detection and segmentation of organs, e.g., heart, liver, kidneys, bladder, prostate, and spleen, and body landmarks, e.g., bronchial bifurcation, coccyx tip, sternum, lung tips. Solving the problem becomes even more challenging if partial body scans are used, where not all organs are present. We propose a new approach to this problem, in which a network of 1D and 3D landmarks is trained to quickly parse the 3D CT data and estimate which organs and landmarks are present as well as their most probable locations and boundaries. Using this approach, the segmentation of seven organs and detection of 19 body landmarks can be obtained in about 20 seconds with state-of-the-art accuracy and has been validated on 80 CT full or partial body scans.
A man-in-the-middle attack on UMTS

In this paper we present a man-in-the-middle attack on the Universal Mobile Telecommunication Standard (UMTS), one of the newly emerging 3G mobile technologies. The attack allows an intruder to impersonate a valid GSM base station to a UMTS subscriber regardless of the fact that UMTS authentication and key agreement are used. As a result, an intruder can eavesdrop on all mobile-station-initiated traffic.Since the UMTS standard requires mutual authentication between the mobile station and the network, so far UMTS networks were considered to be secure against man-in-the-middle attacks. The network authentication defined in the UMTS standard depends on both the validity of the authentication token and the integrity protection of the subsequent security mode command.We show that both of these mechanisms are necessary in order to prevent a man-in-the middle attack. As a consequence we show that an attacker can mount an impersonation attack since GSM base stations do not support integrity protection. Possible victims to our attack are all mobile stations that support the UTRAN and the GSM air interface simultaneously. In particular, this is the case for most of the equipment used during the transition phase from 2G (GSM) to 3G (UMTS) technology.