Miracle-dz/UniFAR-FTUs huggingface dataset:
A Review Article of Satellite Image Different Type Approach

: This paper a survey of the automatic detection of the region of interest (ROI) in Histopathologoical images by means of advanced segmentation techniques. The clustering techniques like fuzzy C-means (FCM) and K-means algorithms for the color image segmentation are implemented on a dataset which consisted of skin images. Euclidian distance is used as a distance metric in both the algorithms. The resultant segmented regions which were obtained from these two techniques were compared and found to be of similar features. The entire experiment is implemented in the L*a*b* color space and a concise discussion regarding the color space conversion is carried out. This paper presents a detailed discussion on the various steps of the two clustering techniques and its requirements and shows how the result obtained from them could be used for diagnosis purpose by the human experts in medical treatment. Due to the increasing requirements for transmission of images in computer, mobile environments, the research in the field of image compression has increased significantly. Image compression plays a crucial role in digital image processing, it is also very important for efficient transmission and storage of images
Forgiveness and Reconciliation: The Importance of Understanding How They Differ

The concepts of forgiveness and reconciliation are clarified and discussed. The differences between forgiveness and reconciliation are illustrated, guidelines for how counselors can avoid confusing them are given, and a case study is used to illustrate the differences between forgiveness and reconciliation and when each is appropriate. Implications for the helping profession and the well-being of clients are discussed.
ViST: a dynamic index method for querying XML data by tree structures

With the growing importance of XML in data exchange, much research has been done in providing flexible query facilities to extract data from structured XML documents. In this paper, we propose ViST, a novel index structure for searching XML documents. By representing both XML documents and XML queries in structure-encoded sequences, we show that querying XML data is equivalent to finding subsequence matches. Unlike index methods that disassemble a query into multiple sub-queries, and then join the results of these sub-queries to provide the final answers, ViST uses tree structures as the basic unit of query to avoid expensive join operations. Furthermore, ViST provides a unified index on both content and structure of the XML documents, hence it has a performance advantage over methods indexing either just content or structure. ViST supports dynamic index update, and it relies solely on B+ Trees without using any specialized data structures that are not well supported by DBMSs. Our experiments show that ViST is effective, scalable, and efficient in supporting structural queries.
Mitofusin-2 Is a Major Determinant of Oxidative Stress-mediated Heart Muscle Cell Apoptosis*

An inexorable loss of terminally differentiated heart muscle cells is a crucial causal factor for heart failure. Here, we have provided several lines of evidence to demonstrate that mitofusin-2 (Mfn-2; also called hyperplasia suppressor gene), a member of the mitofusin family, is a major determinant of oxidative stress-mediated cardiomyocyte apoptosis. First, oxidative stress with H2O2 led to concurrent increases in Mfn-2 expression and apoptosis in cultured neonatal rat cardiomyocytes. Second, overexpression of Mfn-2 to a level similar to that induced by H2O2 was sufficient to trigger myocyte apoptosis, which is associated with profound inhibition of Akt activation without altering ERK1/2 signaling. Third, Mfn-2 silencing inhibited oxidative stress-induced apoptosis in H9C2 cells, a cardiac muscle cell line. Furthermore, Mfn-2-induced myocyte apoptosis was abrogated by inhibition of caspase-9 (but not caspase-8) and by overexpression of Bcl-xL or enhanced activation of phosphatidylinositol 3-kinase-Akt, suggesting that inhibition of Akt signaling and activation of the mitochondrial death pathway are essentially involved in Mfn-2-induced heart muscle cell apoptosis. These results indicate that increased cardiac Mfn-2 expression is both necessary and sufficient for oxidative stress-induced heart muscle cell apoptosis, suggesting that Mfn-2 deregulation may be a crucial pathogenic element and a potential therapeutic target for heart failure.
Ultrasound Investigation of the Posterior Fossa in the Fetus

One hundred and thirty normal pregnancies, ranging in gestational age from 15 to 40 weeks, were investigated to evaluate the capability of ultrasound to demonstrate the anatomy of the fetal posterior fossa. The cerebellum, including the cerebellar hemispheres, the superior and inferior vermis, the fourth ventricle, and the cisterna magna could be demonstrated easily. The ultrasound interpretation of the brain structures was verified by the anatomic dissection of the brains of 10 stillborn premature infants. A systematic approach to the prenatal ultrasound examination of the posterior fossa is described.
Analyzing the Classroom Social Behavior of Students with EBD

Research using new direct observation procedures to analyze classroom social behavior of children with emotional and behavior disorders (EBD) is reviewed.These observation systems are complex but allow a sequential analysis of social interaction sequences that should prove helpful in understanding the social behavior of children with EBD. The research supports at least one major conclusion—that teachers seldom provide praise or other forms of potential social reinforcement. It also suggests that teachers may engage in behavior to escape or avoid social contact with many of these difficult-to-teach children. Issues regarding reliability of the procedures are discussed, and the authors also suggest some directions for future research.
Unsupervised transactional query classification based on webpage form understanding

Query type classification aims to classify search queries into categories like navigational, informational and transactional, etc., according to the type of information need behind the queries. Although this problem has drawn many research attentions, previous methods usually require editors to label queries as training data or need domain knowledge to edit rules for predicting query type. Also, the existing work has been mainly focusing on the classification of informational and navigational query types. Transactional query classification has not been well addressed. In this work, we propose an unsupervised approach for transactional query classification. This method is based on the observation that, after the transactional queries are issued to a search engine, many users will click the search result pages and then have interactions with Web forms on these pages. The interactions, e.g., typing in text box, making selections from dropdown list, clicking on a button to execute actions, are used to specify detailed information of the transaction. By mining toolbar search log data, which records the associations between queries and Web forms clicked by users, we can get a set of good quality transactional queries without using manual labeling efforts. By matching these automatically acquired transactional queries and their associated Web form contents, we can generalize these queries into patterns. These patterns can be used to classify queries which are not covered by search log. Our experiments indicate that transactional queries produced by this method have good quality. The pattern based classifier achieves 83% F1 classification result. This is very effective considering the fact that we do not adopt any labeling efforts to train the classifier.
Semantic Role Labeling for Tamil Documents

The aim of this work is to design and implement a system to identify, analyze and tag the constituents in the sentence which fill a semantic role expressed by some target verbs of a sentence in Tamil. The system reads a Tamil text document and performs tagging of semantic roles associated with a given target verb such as Agent, Patient, Instrument, etc. and also adjuncts such as Locative, Temporal, Manner, Cause, etc. within such a document using a hybrid approach by considering syntactic, semantic, and statistical evidence in the sentences. It consists of two main phases-a Learning Phase and an Evaluation Phase. The Learning phase consists of two main components namely a Maximum Entropy Model (MEM) and a Learning Component. The Evaluation Phase consists of four main components namely MEM Evaluator, Verb Frame Invoker, Rule Based Probability Assigner and Expectation Maximizer Component. A number of different performance measures are charted and the performance of the system is judged on the criteria of accuracy, ambiguity in labeling and how the labeling was performed.
Perceptual Predictors of Global Attitude toward Advertising: An Investigation of Both Generalized and Personalized Beliefs

Abstract This research examines people's generalized and personalized beliefs about advertising and the relationships between these beliefs and global attitude toward advertising. Results of a survey consisting of a student sample and a non-student sample show that people's generalized beliefs about advertising (e.g., advertising insults the intelligence of the average consumer) differ significantly from their personalized beliefs (e.g., advertising insults the intelligence of me). Furthermore, personalized beliefs appear to be better predictors of global attitude toward advertising than generalized beliefs. Theoretical and practical implications of this research are discussed.
SCATTERING EFFECTS ON MICROWAVE PASSIVE REMOTE SENSING OF CLOUD PARAMETERS

As an important tool of atmospheric remote sensing, microwave radiometers are used for temperature profiling, and vapor and liquid column measurements (Hogg et al. 1983; Solheim et al.1998). Radiometer measurements are inexpensive compared to the cost of radar, and it can provide all-time observation in both cloudy and clear air situations. However, using radiometer measurements can be more difficult than a radar measurement because: (1) the measured brightness temperature is proportional to cumulative emission from various layers; (11) both scattering and absorption contribute to the measured radiation, which is governed by an integraldifferential Radiative Transfer (RT) equation; (iii) the relation between brightness temperature and the atmospheric parameters is non-linear. Therefore, linear and log-linear models have limited applicability.
The Effects of Drugs Inhibiting Protein Secretion in the Filamentous Fungus Trichoderma reesei

To study the mechanisms of protein secretion as well as the cellular responses to impaired protein folding and transport in filamentous fungi, we have analyzed Trichoderma reesei cultures treated with chemical agents that interfere with these processes, dithiothreitol, brefeldin A, and the Ca2+-ionophore A23187. The effects of the drugs on the kinetics of protein synthesis and transport were characterized using metabolic labeling of synthesized proteins. Cellobiohydrolase I (CBHI, Cel7A), the major secreted cellulase, was analyzed as a model protein. Northern analysis showed that under conditions where protein transport was inhibited (treatments with dithiothreitol or brefeldin A) the unfolded protein response pathway was activated. The active form of the hac1 mRNA that mediates unfolded protein response signaling was induced, followed by induction of the foldase and chaperone genes pdi1 and bip1. Concomitant with the activation of the unfolded protein response pathway, the transcript levels of genes encoding secreted proteins, like cellulases and xylanases, were drastically decreased, suggesting a novel type of feedback mechanism activated in response to impairment in protein folding or transport (repression under secretion stress (RESS)). By studying expression of the reporter gene lacZ under cbh1 promoters of different length, it was shown that the feedback response was mediated through the cellulase promoter.
Dietary α‐Linolenic Acid, Marine ω‐3 Fatty Acids, and Mortality in a Population With High Fish Consumption: Findings From the PREvención con DIeta MEDiterránea (PREDIMED) Study

In the article by Sala‐Vila et al, “Dietary α‐Linolenic Acid, Marine ω‐3 Fatty Acids, and Mortality in a Population With High Fish Consumption: Findings From the PREvencion con DIeta MEDiterranea (PREDIMED) Study,” which published online January 26, 2016, and appeared in the January
Theory and Analysis of Company-Sponsored Value Co-Creation

In today's dynamic business environment, companies are under tremendous pressure to become more innovative and maintain a steady stream of ideas that can lead to new and improved products and services. Companies have begun to explore the possibility of capturing consumers' "collective intelligence" by establishing firm-sponsored online brainstorming sites where individuals can share their ideas and offer comments on the ideas contributed by others. We term these sites "Company-Sponsored Online Co-Creation Brainstorming" (COCB). The value of this open and voluntary co-creation depends largely on members' contribution levels, the quality of the contributions, and sustained participation. In this paper, utilizing Zwass's taxonomy of co-creation value as a base, we structure a taxonomic framework of COCBs and an accompanying basic model of COCBs. We then present a series of hypotheses concerning the relationships between the model's various factors and specific COCB activities. We validate the model using empirical data collected over two and a half years, starting from the initiation of a pioneering company-sponsored online brainstorming site. Our analyses demonstrate that the level of peer feedback and the responsiveness (speed) of sponsor company feedback have significant influences on both members' contribution levels and duration of active participation. The sponsoring company's feedback, however, seems to influence only the quality of member's contribution level. On the practical side, the outcomes suggest that sponsoring companies should develop efficient processes for reviewing and responding to submitted ideas. Regarding theory, our findings provide an initial piece of contextualized research that offers implications for theory building in the COCB context, most notably the identification of key relationships between feedback (both peer and company) and participant activity levels and duration of participation.
Elevated fibrous sheath interacting protein 1 levels are associated with poor prognosis in non-small cell lung cancer patients

In this study, we examined the expression and prognostic value of fibrous sheath interacting protein 1 (FSIP1) in 202 non-small cell lung cancer (NSCLC) patients who underwent lung cancer resection at Shengjing Hospital of China Medical University. FSIP1 mRNA and protein expression were measured in NSCLC tissues and non-tumor adjacent tissues (NATs), and Harrell's concordance index (c-index) was used to evaluate the ability of FSIP1 to predict prognosis. FSIP1 mRNA and protein expression was higher in NSCLC tissues than in NATs. Survival analysis revealed the 5-year overall survival rate to be 35.4% in the FSIP1-positive group and 56.3% in the FSIP1-negative group, and FSIP1-positive status was an independent prognostic factor for poor overall survival. The c-index value of FSIP1 for overall survival was greater than that of Ki67, and the addition of FSIP1 status increased the c-index value of the TNM staging system. These results suggest that evaluating FSIP1 status in addition to TNM stage during routine pathological examinations could improve prognostic predictions in NSCLC patients.
Family Status and Motivations to Run: A Qualitative Study of Marathon Runners

Family structure influences motivations to run. Drawing on qualitative, in-depth interviews with 33 amateur marathon runners, we investigated how people in various family situations talked about why they run. We found that while there were no major differences in stated motivations to start running or to run marathons, there were differences among the various family statuses for why people continue to run. We concluded that researchers and those who want to encourage long-term engagement in active leisure should consider family context as an important influence on people's motivations to run.
Research on Medical Document Categorization

Medical document categorization is the process of automatically assigning one or more predefined category labels to medical documents. Document indexing plays a very important role in the process of classification. This paper proposes an improved method of computing term weights which is called tfidfie (term frequency, inverted document frequency and inverted entropy). In comparison with the tfidf (term frequency and inverted document frequency) function, the tfidfie function adds an information entropy factor, H, which represents the distribution of documents in the training set in which the term occurs. Then, we discuss the effects of training set in medical document categorization. An imbalanced training set decreases the performance of classifier. Considering the characteristics of medical documents, the medical classifiers are constructed by the methods of Naive Bayes and Rocchio respectively. The experiment results show that tfidfie improves the classification performance and Naive Bayes outperforms Rocchio.
Proposing a new task model towards many-core architecture

Many-core processors are gathering attention in the areas of embedded systems due to their power-performance ratios. To utilize cores of a many-core processor in parallel, programmers build multi-task applications that use the task models provided by operating systems. However, the conventional task models cause some scalability problems when multi-task applications are executed on many-core processors. In this paper, a new task model named Partitioned Virtual Address Space (PVAS), which solves the problems, is proposed. PVAS enhances inter-task communications of multi-task applications and averts serialization of concurrent virtual memory operations. Preliminary evaluations by using micro benchmarks showed that PVAS has the potential to promote the performance of multi-task applications that run on many-core processors.
Design and Implementation of Malware Dynamic Analyzer using Network Emulator GINE

Recently the number of malicious programs have been increasing in a short period of time. We need to know their behavior to cleanse them. Although dynamic analysis is not able to figure out exact malware behavior, it is able to analyze malware behavior in a short period of time. It executes the binary in a disconnected Internet environment and analyzes malware behavior. However, there is a drawback with dynamic analysis. Most malwares try to connect to the Internet to connect to the corresponding server that malware’s creator prepares. To overcome this drawback, there are two previous works for emulating the network. The first one is “Improving Isolated Sandbox using Fake DNS Server”[1]. It use Isolated Sandbox using a number of computers. It provide the Fake DNS service with malware. The fake DNS service replies predefined domain name or IP address in case the domain name or IP address are not in the list. Secondly, “Trumanbox”[2] uses two computers. One computer provides malware with servers such as HTTP, FTP, IRC, and SMTP. The other runs malware samples connected to one another. It redirects malware traffic to servers using ebtables and iptables command. This study analyzes the traffic to figure out malware behavior. Therefore, it redirects the traffic, only between servers and malware. Furthermore, it provides the DNS service which resolves the requested hostname to predefined IP addresses. In this paper, we extend previous research[3] in 2012. We use the network emulator GINE[4] and the virtual machine QEMU to make a disconnected the Internet environment on one computer. We make malware connect to several virtual hosts and observe malware infection action. In addition, by providing fake servers, we figure out malware behavior.
A new deterministic hybrid model for indoor-to-outdoor radio coverage prediction

In this article, we propose a new hybrid modeling method for indoor-to-outdoor radio coverage prediction. The proposed method is a combination of a ray-optical channel modeling approach and the frequency domain ParFlow method. While the former is widely used for modeling outdoor propagation environments, the latter is computationally efficient and accurate for modeling indoor environments.
Breast biopsy patterns and outcomes in Surveillance, Epidemiology, and End Results—Medicare data

Despite known benefits to needle biopsy for suspicious breast lesions, variability in the use of this technique has been documented in practice. We sought to study the use of needle biopsy and open surgical biopsy in women with breast cancer, predictors of needle biopsy use, and the effect of biopsy choice on overall number of surgical procedures needed to treat breast cancer.
Stimulus–Response compatibility based on affective arousal

Participants responded by producing weak or strong forces to pictures that varied with respect to affective arousal and horizontal position. The task relevance of these stimulus dimensions was manipulated between different groups of participants, with Stimulus–Response mapping varying between blocks of trials. The combination of the respectively task-irrelevant stimulus features with responses varied unpredictably on a trial-to-trial basis. In addition, the valence of the pictures and the combination of valence with response force were varied. When affective arousal was task relevant, there was an advantage of the pairing arousing→strong, not arousing→weak over the reverse mapping. No such affectively-based compatibility effect emerged when arousal was task irrelevant. In addition, effects of arousal were modulated by valence, but only when arousal was the relevant stimulus dimension.
Applying for General Disability Benefits Among Members with Disabilities in the Changing Kibbutz

The research discussed in this article examined differences in application rates for general disability benefits among 387 kibbutz members with disabilities in Israel. The authors also took into account critical changes in the ideology, social structure, and economy of the kibbutz. They hypothesized that significant differences would be found in application rates according to age, gender, and use of social support networks within and outside the kibbutz. Major study findings indicated that kibbutz members with disabilities above age 50 had lower application rates for disability benefits compared to those below age 50. No significant differences in application rates were found for gender, but individuals who lacked formal support tended to have greater application rates. The authors also interpret findings with respect to social policy and planning.
A genetics-motivated unsupervised model for tri-subject kinship verification

Given a child's and a couple's facial photos, tri-subject kinship verification aims to determine the existence of blood relation between the child and the couple. Different from existing methods which model the kinship inheritance process among three persons in separate stages and only use simple features, this work establishes a simple model inspired by genetics to measure tri-subject kinship similarity in one step. Meanwhile, high-dimensional features are incorporated into this simple model to seek for better performance. Experiment results demonstrate the effectiveness of our approach.