Miracle-dz/UniFAR-FTUs huggingface dataset:
sRNAbase: A Web Resource for Small RNAs in Enterobacteriaceae\m{1}

Bacterial small RNAs (sRNAs) have gained considerable attention due to their multivalent roles in the survival and pathogenesis of bacteria and mostly identified through bio-computational methods. A manually curated web-resource, sRNAbase has been constructed to give comprehensive and exhaustive information on non-coding small RNAs excluding tRNAs and rRNAs in Enterobacteriaceae family. The sRNA entries curated in sRNAbase contain experimentally verified small RNAs available in the literature and their partial/non-homologs reported within the related genomes from our earlier studies. The sRNAbase aims to facilitate the scientific community by providing information on the physical genomic location of the non-coding small RNAs, its alias names, sequences, strand orientation, gene identification numbers of the conserved genes that sandwiches the particular sRNA with possible functional role and a link to the PubMed literatures. Currently, sRNAbase holding information on 1986 entries belongs to 80 sRNA families spread over 45 Enterobacteriaceae genomes. The sRNAbase is accessible on the web at http://bicmku.in:8081/srnabase/.
Intracranial stenoocclusive disease: double-detector helical CT angiography versus digital subtraction angiography.

BACKGROUND AND PURPOSE To our knowledge, no large-scale studies comparing the accuracy of CT angiography (CTA) to intraarterial digital subtraction angiography (DSA) of intracranial stenosis have been reported. We attempted to determine the diagnostic value of intracranial CT angiography (CTA) of normal vasculature and variants as well as of stenoocclusive disease. METHODS One-hundred and twelve patients underwent CTA and intraarterial angiography, and 2205 vascular segments were examined to ascertain presence, visibility, and degree of arterial stenoses (n = 105) as well as anatomic variants. Source, maximum intensity projection (MIP), and MIP-generated multiplanar reformatted (MPR) images were evaluated. RESULTS All 55 anatomic variants were identified correctly. Visibility of small-vessel segments was increased from 75% to 83% by using source images. MPR was helpful in differentiating distal vertebral hypoplasia from stenosis and in overcoming artifacts. All 43 occlusive segments were graded correctly (sensitivity = 100%, predictive value = 93.4%) as follows: severely stenotic ([n = 23], sensitivity = 78%, predictive value = 81.8%); moderately stenotic ([n = 36], sensitivity = 61%, predictive value = 84.6%); and mildly stenotic ([n = 3], sensitivity = 66%, predictive value = 28%). Normal segments (n = 2100) had a sensitivity of 99.5%, and CTA evinced a specificity of 99% for detecting stenoocclusive disease. Approximately one-third of wrong assessments were related to the petrous segment of the carotid artery. CONCLUSION CTA with double-detector technology and advanced postprocessing algorithms, including MPR, is about as reliable as MRA in depicting the vasculature of the anterior and posterior circulation and in grading intracranial stenoocclusive lesions, with the exception of the petrous segment of the carotid artery. CTA might be superior to MRA in the evaluation of poststenotic low-flow segments.
Queuing Simulation Model for Multiprocessor Systems

The processor queuing model provides memory-hierarchy and system-design evaluation of memory-intensive commercial online-transaction-processing workloads on large multiprocessor systems. It differs from detailed cycle-accurate and direct-execution simulations in that it does not simulate instruction execution. Instead, as in analytical models, the authors build processor and workload characteristics that are easy to collect and estimate. Because the authors believe that the processor model's function is to accurately generate memory traffic to the rest of the system, they model a minimal set of processor and workload characteristics that captures the important interactions between a complex processor and the system-memory hierarchy.
New Applications of Sequential ICA Mixtures Models Compared with Dynamic Bayesian Networks for EEG Signal Processing

Independent Component Analysis (ICA) is a blind source separation method that has proven popular in many fields of application. ICA can be improved incorporating temporal dependencies creating dynamic ICA methods and defining subspaces with multiple ICAs. Such a dynamic ICA method is called Sequential Independent Component Analysis Mixture Model (SICAMM). This method is proposed for two new EEG signal processing applications: detection of arousals in apnea patients and brain hemisphere activity classification during a memory task. SICAMM is compared with a nondynamic ICAMM model and a Dynamic Bayesian Network (DBN). Results show that SICAMM obtains a better performance than the DBN and both dynamic methods achieve a higher classification rate than the stationary ICAMM model. Furthermore, the structure of the SICAMM parameters suggests it for extraction of significant clinical information.
Making General-Purpose Adaptive Hypermedia Work

Adaptive hypermedia systems (AHS) have typically been geared towards one specific application or application area, in most cases related to education. The AHA (Adaptive Hypermedia Architecture) system is a Web-based adaptive hypermedia system specifically intended to serve many different purposes. As such AHA must be able to perform adaptation that is based on the user's browsing actions, regardless of the interpretation of browsing as learning. A general-purpose adaptive hypermedia system must be able to handle cycles in adaptation rules and non monotonic user model updates. (An educational system in which a user's knowledge about a hierarchical concept structure can only increase is much simpler.) This paper describes how AHA handles these aspects and indicates how other adaptive hypermedia systems may be turned into more general-purpose tools as well.
The Pattern of Onset and Spontaneous Cessation of Atrial Fibrillation in Man

The atrial electrocardiogram was studied in eight patients who developed intermittent atrial fibrillation following myocardial infarction. Thirty-two episodes of onset of atrial fibrillation and 28 episodes of spontaneous cessation were observed. An atrial premature beat followed by atrial tachycardia of variable duration always preceded the onset of atrial fibrillation. Spontaneous cessation of atrial fibrillation was preceded by a change of atrial wave form which suggested slowing of an ectopic focus. The time lapse between the cessation of atrial fibrillation and the onset of sinus rhythm exceeded the subsequent sinus cycle length which suggested overdrive and suppression of the sinoatrial node during the period of atrial fibrillation.
USING DELTA RANGE ON GPS POSITIONING, FAULT DETECTION AND FAULT EXCLUSION

Abstract Conventionally, the well known position-velocity-acceleration (PVA) model is adopted as the dynamic model of Kalman filter for GPS positioning. However, as a moving vehicle corners at faster speeds, the conventional PVA model without using extra sensors can no longer be adequate for describing the motion of the vehicle. Thus, the positioning result of the vehicle will be less accurate, and normalized innovation squared (NIS) is not suitable as the test statistic for FDE anymore. Therefore, the delta range (DR) equation is proposed to accurately model the dynamic behavior of a maneuvering vehicle. Simulation results show that the proposed DR can perform both positioning and FDE well as the vehicle manoeuvres.
Power- and area-efficient Approximate Wallace Tree Multiplier for error-resilient systems

Today in sub-nanometer regime, chip/system designers add accuracy as a new constraint to optimize Latency-Power-Area (LPA) metrics. In this paper, we present a new power and area-efficient Approximate Wallace Tree Multiplier (AWTM) for error-tolerant applications. We propose a bit-width aware approximate multiplication algorithm for optimal design of our multiplier. We employ a carry-in prediction method to reduce the critical path. It is further augmented with hardware efficient precomputation of carry-in. We also optimize our multiplier design for latency, power and area using Wallace trees. Accuracy as well as LPA design metrics are used to evaluate our approximate multiplier designs of different bit-widths, i.e. 4 × 4, 8 × 8 and 16 × 16. The simulation results show that we obtain a mean accuracy of 99.85% to 99.965%. Single cycle implementation of AWTM gives almost 24% reduction in latency. We achieve significant reduction in power and area, i.e. up to 41.96% and 34.49% respectively that clearly demonstrates the merits of our proposed AWTM design. Finally, AWTM is used to perform a real time application on a benchmark image. We obtain up to 39% reduction in power and 30% reduction in area without any loss in image quality.
The doorstep portrait: intrusion and performance in mainstream American documentary photography 1

Documentary photography has always been confronted by criticisms and self-doubts about its method and purpose. Can pictures ostensibly intruding into the lives of the poor and the destitute, whether taken by academics, reformers or professional photographers, ever be legitimate? This article suggests that these concerns actually determine the way mainstream American social photography looks. Such is the case, at least, in a cliché which has run through the US documentary tradition since the 1930s, and which could be labelled ‘doorstep portraits’. Examples drawn from the famous Farm Security Administration archive and from Oraien Catledge's work in Atlanta's Cabbagetown in the 1980s show individuals and families sitting for a picture on the threshold of their house. This image is a meaningful convention because it seems to encode the nature of the relationship between photographer, subject and audience. This ritual ‘presentation of the self’ takes place as the private lives of the sitters are being transformed into public visual discourse through the photographic image. The first part of this paper attempts to define doorstep portraits as a kind of ‘metapicture’ – to use W.T. J. Mitchell's term. The issue of ‘access’ in documentary practice is then briefly described as the methodological problem which this metapicture engages. Erving Goffman's definition of ‘performance’ and Edward T. Hall's proxemics provide a theoretical framework for understanding how this engagement works. Finally, the normative dimension of documentary's visual conventions in the context of liberal reform discourse is re-examined in the light of this model.
The Onset of Liver Glycogen Synthesis in Fasted-Refed Rats: Effects of Streptozocin Diabetes and of Peripheral Insulin Replacement

The mechanism of liver glycogen synthesis after refeeding has been investigated in diabetic rats, diabetic insulin-treated rats, and in control rats fasted for 48 h. The accumulation of liver glycogen was the same in diabetic rats and in control rats after 2 h of feeding, but did not proceed any further in the diabetic group during the next 2 h. Insulin-treated diabetic rats synthesized five times more hepatic glycogen than the control rats after 1 h of refeeding, but the amount accumulated at the end of the refeeding period was the same. Feeding resulted in a transient activation of glycogen synthase in untreated as well as in treated diabetic rats. In control rats, however, glycogen synthase was already partially in the active form before access to food, and the onset of glycogen synthesis occurred without further activation of the enzyme. A transient inactivation of phosphorylase was observed in all groups during the meal, but was very slight in the untreated diabetic rats in which phosphorylase a values were already reduced before the access to food. Peripheral glycemia was markedly increased upon refeeding in treated and untreated diabetic rats, but remained normal in control rats. Peripheral insulinemia was increased by feeding in the control rats and remained low in the diabetic rats and high in the insulin-treated diabetic rats. The results indicate that, in normal controls in contrast to diabetic rats, synthase activation is not a prerequisite for the initiation of glycogen synthesis after a meal; phosphorylase inactivation may be of major importance in normal controls, but also appears to play a role in the diabetic animals. The changes are triggered by glucose as well as insulin.
Effective liver cancer diagnosis method based on machine learning algorithm

In this paper, we introduce a method to find useful markers from sensor arrays which have massive sensing points and diagnose liver cancer based on machine learning algorithms which are neural network and fuzzy neural network. We obtain reliable results by using a learning ability and n-fold cross validation. For the verification of the proposed method, raw data of serums from 314 normal and 81 patients reacted to 1,142 aptamers are used. According to the results, we can detect liver cancer with the accuracy of 99.19 % by average use of 132 aptamers based on neural network and 98.19 % by average use of 226 aptamers based on fuzzy neural network.
The natural selection of bad science

Poor research design and data analysis encourage false-positive findings. Such poor methods persist despite perennial calls for improvement, suggesting that they result from something more than just misunderstanding. The persistence of poor methods results partly from incentives that favour them, leading to the natural selection of bad science. This dynamic requires no conscious strategizing—no deliberate cheating nor loafing—by scientists, only that publication is a principal factor for career advancement. Some normative methods of analysis have almost certainly been selected to further publication instead of discovery. In order to improve the culture of science, a shift must be made away from correcting misunderstandings and towards rewarding understanding. We support this argument with empirical evidence and computational modelling. We first present a 60-year meta-analysis of statistical power in the behavioural sciences and show that power has not improved despite repeated demonstrations of the necessity of increasing power. To demonstrate the logical consequences of structural incentives, we then present a dynamic model of scientific communities in which competing laboratories investigate novel or previously published hypotheses using culturally transmitted research methods. As in the real world, successful labs produce more ‘progeny,’ such that their methods are more often copied and their students are more likely to start labs of their own. Selection for high output leads to poorer methods and increasingly high false discovery rates. We additionally show that replication slows but does not stop the process of methodological deterioration. Improving the quality of research requires change at the institutional level.
Sexuality Counseling: A Professional Specialization Comes of Age

For individuals and couples experiencing such distress, sexuality counseling, an emerging specialization in professional counseling, may provide relief, understanding, healing, and intimacy. This review attempts to describe the paradigm shifts and key figures in the field, sexuality counseling as a professional specialization, the process of sexuality counseling including assessment, diagnosis and treatment planning, and various roadblocks to intimacy. It concludes with advocacy of the new specialization as a synthesis of trends in sexual health.
The Determinant of Internet Banking Usage Behavior in Korea: A Comparison of Two Theoretical Models

Internet banking is an information intensive business and becomes a major trend in the financial marketplace. It is important to understand what factors will impact the actual use of internet banking. Therefore, this paper is aimed at analyzing the determinants of internet banking usage behavior in Korea. This study compares two models that predict an individual’s intention: Theory of Reasoned Action(TRA) and Theory of Planned Behavior(TPB). The results show that internet banking users’ attitude and their perceived behavioral control play a vital role in influencing the behavioral intention of internet banking. However, intention is not formed by users’ subjective norm in both TRA and TPB. In addition, attitude, subjective norm, and perceived behavioral control is, in turn, influenced by attitudinal belief structures, normative belief structures, control belief structures, respectively. Both TRA and TPB predict behavioral intention to use the internet banking quite well, with TPB having a slight empirical advantage.
Microwave devices based on left-handed transmission lines

Application of left-handed (LH) metamaterials in the field of microwave engineering has grown rapidly following their experimental verification. In particular, the LH transmission line (TL) has been used to realize various microwave devices not possible with conventional TLs alone. The purpose of this paper is to summarize some of the recent advances in microwave devices based on LH TLs. In particular, devices based on the unique characteristics of the composite right/left-handed (CRLH) TL, which is the general model of a practical LH TL, are presented
The serum concentration of human kallikrein 10 represents a novel biomarker for ovarian cancer diagnosis and prognosis.

Human kallikrein 10 (hK10) is a secreted serine protease that is highly expressed in ovarian tissue. We hypothesized that hK10 might represent a novel serological marker for ovarian cancer. We quantified by immunoassay, hK10 in sera from 97 normal women (controls), 141 patients with benign gynecologic diseases, and 146 patients with ovarian cancer. We then examined the diagnostic and prognostic value of this measurement in ovarian cancer. We found that normal serum hK10 ranged from 50 to 1040 ng/liter (mean = 439 ng/liter). hK10 concentration is significantly elevated in serum of presurgical ovarian cancer patients (range: 106-11,746 ng/liter; mean = 1067 ng/liter) but not in serum of patients with benign gynecologic diseases (range: 120-1200 ng/liter; mean = 447 ng/liter). When a cutoff of 700 ng/liter was selected (diagnostic specificity = 90%), the diagnostic sensitivity for ovarian cancer is 54%. About 35% of CA125-negative ovarian cancer patients (CA125 < 23 kU/liter) were hK10 positive at 90% specificity. In patients with stage I/II ovarian cancer, use of these two markers in combination results in a 21% increase in sensitivity, at 90% specificity, compared with CA125 alone. High serum hK10 was strongly associated with serous epithelial type, late-stage, advanced grade, large residual tumor (>1 cm), suboptimal debulking, and no response to chemotherapy (all Ps < 0.001). In univariate Cox survival analysis, high serum hK10 is associated with increased risk for relapse and death (hazard ratio = 2.59 and 3.15, respectively, P </= 0.003). This prognostic value remains significant for overall survival in the multivariate analysis. Kaplan-Meier survival curves demonstrated similar findings. Serum hK10 represents a novel biomarker for ovarian cancer. We conclude that preoperative serum hK10 concentration is a strong and independent unfavorable prognostic marker for ovarian cancer.
The Effects of Transient Emotional State and Workload on Size Scaling in Perspective Displays

Previous research has been devoted to the study of perceptual (e.g., number of depth cues) and cognitive (e.g., instructional set) factors that influence veridical size perception in perspective displays. However, considering that perspective displays have utility in high workload environments that often induce high arousal (e.g., aircraft cockpits), the present study sought to examine the effect of observers' emotional state on the ability to perceive and judge veridical size. Within a dual-task paradigm, observers' ability to make accurate size judgments was examined under conditions of induced emotional state (positive, negative, neutral) and high and low workload. Results showed that participants in both positive and negative induced emotional states were slower to make accurate size judgments than those not under induced emotional arousal. Results suggest that emotional state is an important factor that influences visual performance on perspective displays and is worthy of further study.
Modeling Structural Model for Defect Categories Based On Software Metrics for Categorical Defect Prediction

Software Defect prediction is the pre-eminent area of software engineering which has witnessed huge importance over last decades. The identification of defects in the early stages of software development not only improve the quality of the software system but also reduce the time, cost and effort associated in maintaining the quality of software product. The quality of the software can be best assessed by software metrics. To evaluate the quality of the software, a number of software metrics have been proposed. Many research studies have been conducted to construct the prediction model that considers the CK (Chidamber and Kemerer) metrics suite and object oriented software metrics. For the prediction model development, consideration of interaction among the metrics is not a common practice. This paper presents the empirical evaluation in which several software metrics were investigated in order to identify the effective set of the metrics for each defect category which can significantly improve the defect prediction model made for each defect category. For each of the metrics, Pearson correlation coefficient with the number of defect categories were calculated and subsequently stepwise regression model is constructed for each defect category to predict the set of the metrics that are the good indicator of each defect category. We have proposed a novel approach for modelling the defects using structural equation modeling further which validates our work. Structural models were built for each defect category using structural equation modeling which claims that results are validated.
Family Interactions and Disordered Eating Attitudes: The Mediating Roles of Social Competence and Psychological Distress

This research explored the role of family interactions on young adult females' disordered eating attitudes as mediated by both social competence and psychological distress. Assessment of the family interaction variables included the perspectives of multiple family members: a young adult female, a mother, and a sibling. Results generally supported the proposed model such that family interaction patterns, namely family-expressed emotion, were associated with low social competence, low social competence was associated with psychological distress, and psychological distress was associated with disordered eating attitudes. Practical applications of these results are discussed, as implications of this study draw attention to corrosive family communication patterns and inadequate social competence as key factors related to disordered eating attitudes.