Miracle-dz/UniFAR-FTUs huggingface dataset:
Visual perception as retrospective Bayesian decoding from high- to low-level features

Significance The nature of perceptual decoding remains an open, fundamental question. Many studies assume that decoding follows the same low- to high-level hierarchy of encoding, yet this assumption was never rigorously tested. We performed such a test, which refutes the assumption to the extent that absolute and relative/ordinal orientations are features of different levels. Additionally, the backward aftereffect we discovered cannot be explained by the efficient-coding theories of adaptation. Finally, we proposed a new theory that explains our data as retrospective Bayesian decoding from high to low levels in working memory. This decoding hierarchy is justified by considering memory stability/distortion of high/low-level features. Thus, our work rejects the currently dominant decoding scheme and offers a framework that integrates perceptual decoding and working memory. When a stimulus is presented, its encoding is known to progress from low- to high-level features. How these features are decoded to produce perception is less clear, and most models assume that decoding follows the same low- to high-level hierarchy of encoding. There are also theories arguing for global precedence, reversed hierarchy, or bidirectional processing, but they are descriptive without quantitative comparison with human perception. Moreover, observers often inspect different parts of a scene sequentially to form overall perception, suggesting that perceptual decoding requires working memory, yet few models consider how working-memory properties may affect decoding hierarchy. We probed decoding hierarchy by comparing absolute judgments of single orientations and relative/ordinal judgments between two sequentially presented orientations. We found that lower-level, absolute judgments failed to account for higher-level, relative/ordinal judgments. However, when ordinal judgment was used to retrospectively decode memory representations of absolute orientations, striking aspects of absolute judgments, including the correlation and forward/backward aftereffects between two reported orientations in a trial, were explained. We propose that the brain prioritizes decoding of higher-level features because they are more behaviorally relevant, and more invariant and categorical, and thus easier to specify and maintain in noisy working memory, and that more reliable higher-level decoding constrains less reliable lower-level decoding.
Computer Aided Diagnosis System - A Decision Support System for Clinical Diagnosis of Brain Tumours

The iso, hypo or hyper intensity, similarity of shape, size and location complicates the identification of brain tumors. Therefore, an adequate Computer Aided Diagnosis (CAD) system is designed for classification of brain tumor for assisting inexperience radiologists in diagnosis process. A multifarious database of real post contrast T1-weighted MR images from 10 patients has been taken. This database consists of primary brain tumors namely Meningioma (MENIclass 1), Astrocytoma (ASTclass 2), and Normal brain regions (NORMclass 3). The region of interest(s) (ROIs) of size 20 x 20 is extracted by the radiologists from each image in the database. A total of 371 texture and intensity features are extracted from these ROI(s). An Artificial Neural Network (ANN) is used to classify these three classes as it shows better classification results on multivariate non-linear, complicated, rule based domains, and decision making domains. It is being observed that ANN provides much accurate results in terms of individual classification accuracy and overall classification accuracy. The four discrete experiments have been performed. Initially, the experiment was performed by extracting 263 features and an overall classification accuracy 78.10% is achieved, however, it was noticed that MENI (class-1) was highly misclassified with AST (class-2). Further, to improve the overall classification accuracy and individual classification accuracy specifically for MENI (class-1), LAWs textural energy measures (LTEM) are added in the feature bank (263+108=371). An individual class accuracy of 91.40% is obtained for MENI (class-1), 91.43% for AST (class-2), 94.29% for NORM (class-3) and an overall classification accuracy of 92.43% is achieved. The results are calculated with and without addition of LTEM feature with Principle component analysis (PCA)-ANN. LTEM-PCA-ANN approach improved results with an overall accuracy of 93.34%. The texture patterns obtained were clear enough to differentiate between MENI (class-1) and AST (class-2) despite of necrotic and cystic component and location and size of tumor. LTEM detected fundamental texture properties such as level, edge, spot, wave and ripple in both horizontal and vertical directions which boosted the texture energy.
Global Relationships Among the Physical Properties of Stellar Systems

The kappa-space three-dimensional parameter system was originally defined for the physical properties of dynamically hot galaxies. Here we define self-consistent kappa-parameters for disk galaxies, galaxy groups and clusters, and globular clusters and project an integrated view of the major classes of self-gravitating, equilibrium stellar systems in the universe. Six different fundamental planes exist that are interrelated and interconnected - the ``cosmic metaplane. '' The kappa-3 vs. kappa-1 projection (M/L vs. Mass) views all planes edge-on, M/L increasing or constant with Mass. Within the cosmic metaplane (kappa-2 vs. kappa-1 projection), no stellar system violates the rule that kappa-1 + kappa-2 < 8, meaning the maximum volume luminosity density of stellar systems varies as a (K times M^{-4/3}; the ``zone of exclusion''). Galaxies march away from ZOE as a function of Hubble type: DHGs closest, Sm-Irr's furthest away. We test current ideas of galaxy formation via hierarchical clustering and merging and find them to be broadly consistent with the properties of the cosmic metaplane. Four key questions are raised by this study: Why do galaxy groups form a bridge between galaxy clusters and galaxies? Why do galaxies march away from the ZOE? Why are isotropic galaxies only found in a limited mass range? What causes M/L to vary so smoothly with M to produce the cosmic metaplane? This study is but the first step along a long road, limited by existing data to the B passband of major stellar systems, whose light is dominated by stars. K-band data would be high desirable, as well as data that can probe the gaseous content (cold and hot) of stellar systems, and data for other classes of stellar systems.
Semantic Annotation of SOAP Web Services based on Word Sense Disambiguation Techniques

A key requirement for materializing the Semantic Web involves the annotation of resources and Web services with semantic metadata. This procedure is traditionally addressed as a manual task, which involves a high consumption of time and resources as well as the expertise on description formats and formal representations of knowledge, such as ontologies. Some research has promoted the development of mechanisms that partially automate the semantic annotation procedure, however, for the services particular case, those works lack of an analysis of the linguistic context of descriptor documents or interfaces, which provide adequate assignment of semantic annotations on the functional attributes of the services. In this context, this paper introduces a mechanism to automate the semantic annotation of SOAP services, supported by Word Sense Disambiguation techniques (WSD), from which it is possible to link the context of descriptor documents to the procedure of identification and association of ontological entities related to service attributes. This document discusses the mechanism described above, by developing an example, as well as the results of the experimental evaluation performed on a prototype that implements the proposal.
The perceived structure of political relationships.

The present report describes an initial phase of a research project which attempts to determine the extent to which perceived similarities and differences expressed in political judgments of various kinds are related to agreements and disagreements about basic social values. By "basic social value" is meant any statement defining an ethical or morally proper course of action in a situation having crucial implications for the functioning of a society. There are probably a limited set of social values in this sense which most Americans uphold in common and which limit the range of American political opinions. At the same time, however, there are also several value differences of a fundamental nature, which give rise to many of the cleavages in American political life. These value differences may provide stable points of reference underlying a multitude of political disputes and controversies, even those cutting across party lines, and may give continuity to political positions throughout a series of changing issues from decade to decade. Our main study deals with such value differences and their possible relationships to political judgments and orientations. The present report, however, will focus upon the structure of perceived political relationships, as derived from judgments of similarity among 20 political leaders with respect to their political thinking. The purposes of this segment of the project were (a) to ascertain the number and nature of dimensions required to summarize the similarity judgments and (b) to investigate possible group differences in perceptual structures in relation to political affiliation.
Incremental mapping of large cyclic environments

Mobile robots can use geometric or topological maps of their environment to navigate reliably. Automatic creation of such maps is still an unrealized goal, especially in environments that have large cyclical structures. Drawing on recent techniques of global registration and correlation, we present a method, called local registration and global correlation, for reliable reconstruction of consistent global maps from dense range data. The method is attractive because it is incremental, producing an updated map with every new sensor input; and runs in constant time independent of the size of the map (except when closing large cycles). A real-time implementation and results are presented for several indoor environments.
Effects of 10 Hz rTMS on the Neural Efficiency of Working Memory

Working memory (WM) has been described as short-term retention of information that is no longer accessible in the environment, and the manipulation of this information for subsequent use in guiding behavior. WM is viewed as a cognitive process underlying higher-order cognitive functions. Evidence supports a critical role for PFC in mediating WM performance. Studies show psychomotor processing speed and accuracy account for considerable variance in neural efficiency (Ne). This study compared the relative effects of active and sham 10 Hz rTMS applied to dorsolateral prefrontal cortex (DLPFC) on indices of Ne in healthy participants performing a WM paradigm that models the association between WM load and task behavior [Sternberg, S. High-speed scanning in human memory. Science, 153, 652–654, 1966]. Previous studies identified a relationship between diminished Ne and impaired WM across a broad array of clinical disorders. In the present study, the authors predicted there would be a main effect of stimulation group (STM) on accuracy (SCR) and processing speed (RT), hence, Ne. We observed a main effect of STM for RT without an effect on SCR; even so, there was a robust effect of STM on Ne.
Kadar Hemoglobin dengan Kejadian Dismenorea pada Remaja Putri

ABSTRAK Dismenorea merupakan masalah yang sangat mengganggu pada sebagian wanita, terutama yang beraktifitas padat seperti remaja. Salah satu faktor yang mempengaruhi dismenorea adalah kadar Hb <12 gr% (anemia), yang juga sering terjadi pada remaja. Faktor dominan yang mempengaruhi penyebab kurangnya kadar Hb (anemia) adalah perdarahan saat menstruasi dan asupan gizi yang tidak terpenuhi. Tujuan penelitian ini adalah untuk meneliti apakah ada hubungan antara kadar hemoglobin dengan kejadian dismenorea pada remaja putri. Penelitian ini termasuk penelitian analitik dengan menggunakan pendekatan Cross Sectional. Populasinya sebanyak 53 remaja putri di Pondok Pesantren An-Nafi
Unsupervised Object Segmentation in Video by Efficient Selection of Highly Probable Positive Features

We address an essential problem in computer vision, that of unsupervised foreground object segmentation in video, where a main object of interest in a video sequence should be automatically separated from its background. An efficient solution to this task would enable large-scale video interpretation at a high semantic level in the absence of the costly manual labeling. We propose an efficient unsupervised method for generating foreground object soft masks based on automatic selection and learning from highly probable positive features. We show that such features can be selected efficiently by taking into consideration the spatio-temporal appearance and motion consistency of the object in the video sequence. We also emphasize the role of the contrasting properties between the foreground object and its background. Our model is created over several stages: we start from pixel level analysis and move to descriptors that consider information over groups of pixels combined with efficient motion analysis. We also prove theoretical properties of our unsupervised learning method, which under some mild constraints is guaranteed to learn the correct classifier even in the unsupervised case. We achieve competitive and even state of the art results on the challenging Youtube-Objects and SegTrack datasets, while being at least one order of magnitude faster than the competition. We believe that the strong performance of our method, along with its theoretical properties, constitute a solid step towards solving unsupervised discovery in video.
Illness Perception as a Predictor of Foot Care Behavior Among People With Type 2 Diabetes Mellitus in Indonesia

Introduction: Illness perception may contribute to foot care behavior because people with type 2 diabetes mellitus (T2DM) in Indonesia may have different beliefs that influence their foot care behaviors. This study aimed to determine the relationships among foot care knowledge, illness perception, local beliefs, and foot care behaviors in people with T2DM in Indonesia. Methods: Cross-sectional study with a convenience sampling technique was used to recruit 200 people with T2DM from the Outpatient Department of Islamic Hospital. The Foot Care Knowledge, Brief Illness Perception, Local Beliefs, and Foot Self-Care Behavior questionnaires were administered. Results: The predictors of foot care were having a family member or friend with diabetic foot ulcer (p = .001), diabetes mellitus duration (p = .026), foot care knowledge (p < .001), consequences (p < .001), treatment control (p < .001), and local beliefs (p = .017). Discussion: Health care providers may cultivate a spiritual approach, providing success stories to create positive images of the disease’s outcomes and increase patients’ confidence to control the disease.
Catalytic Pyrolysis of Coconut Shell for Bio-oil

Bio-oils were produced from coconut shell via fast pyrolysis process without and with HZSM-5 zeolite catalyst which carried out in a fixed-bed reactor with heating rate 30 °C/min under nitrogen atmosphere. This research was investigated the effect of pyrolysis parameters amount catalyst by a response surface methodology (RSM) experimental design. The products of pyrolysis are produced bio-oil, char and gas. The results show that flow rate of nitrogen was not significant independent variable on bio-oil product for pyrolysis. The maximum yield of bio-oil, 38.93 wt%, was obtained at temperature of 491.57 °C, particle size of coconut shell of 12.5 mm and weight of catalyst of 0.5 g with flow rate of nitrogen of 5 ml/min. Keywords—biomass, pyrolysis, bio-oil, catalytic pyrolysis
A study of transport properties of porous anodic aluminium membranes by dynamic atomic force microscopy

Carbon nanotubes (CNTs) have recently garnered considerable attention in the area of water treatment due to their observed and predicted enhanced flow rate. Recent work has also demonstrated that porous anodic alumina membranes (PAAMs) which consist of an alumina membrane with hydrophilic nanochannels passing through them can also experience similar enhanced flow and may be an alternative to CNTs. However not a lot of research has focused on PAAMs and a greater understanding of PAAMs is needed if they are to have industrial applications. For this study, we performed a series of experiments using the atomic force microscope (AFM) to probe the hydrodynamic properties on PAAMs with varying pore diameters. These PAAMs can be further categorised as being either ‘closed’ or ‘open’ where the back of the PAAMs can be either blocked or unblocked with the latter case allowing fluid to pass through and whilst the former prevents this. The experimental results were compared with a theoretical model that incorporates hydrodynamic forces with possible slip effects, Derjaguin-Landau-Verwey-Overbeek (DLVO) forces and cantilever drag effects. The model was able to accurately describe the ‘closed’ pore membrane after introducing a slip length whilst also demonstrating that the difference between ‘closed’ and ‘open’ pore PAAMs are negligible. Thus we present a simple yet effective model that not only describes the hydrodynamic characteristics of PAAMs but for membranes in general.
Electrocardiographic left atrial abnormality and stroke subtype in the atherosclerosis risk in communities study

The aim of this study was to assess the relationship between abnormally increased P‐wave terminal force in lead V1, an electrocardiographic (ECG) marker of left atrial abnormality, and incident ischemic stroke subtypes. We hypothesized that associations would be stronger with nonlacunar stroke, given that we expected left atrial abnormality to reflect the risk of thromboembolism rather than in situ cerebral small‐vessel occlusion.
Reduced abundance of aquaporins in rats with bilateral ischemia-induced acute renal failure: prevention by α-MSH.

We examined the effect of temporary renal ischemia (30 min or 60 min) and reperfusion (1 day or 5 days) on the expression of renal aquaporins (AQPs) and urinary concentration in rats with bilateral ischemia-induced acute renal failure (ARF). Next, we tested whether reducing ischemia/reperfusion (I/R) injury by treatment with α-melanocyte stimulating hormone (α-MSH) affects the expression of AQPs and urine output. Rats with ARF showed significant renal insufficiency, and urinary concentration was markedly impaired. In rats with mild ischemic injury (30 min), urine output increased significantly to a maximum at 48 h, and then nearly normalized within 5 days. Consistent with this, semiquantitative immunoblotting revealed that kidney AQP1 and AQP2 abundance was significantly decreased after 24 h to 30 ± 5% and 40 ± 11% ( n = 8) of controls ( n = 9), respectively ( P < 0.05). Five days after ischemia, AQP2 abundance was not significantly decreased and urine output was normalized. In contrast, severe ischemic injury (60 min) resulted in a marked reduction in urine output at 24 h, despite a significant decrease in urine osmolality and solute-free water reabsorption, TcH2O. AQP1 and AQP2 abundance was markedly decreased to 51 ± 5% and 31 ± 9% ( n = 10) of controls ( n = 8) at 24 h ( P < 0.05). After 5 days, the rats developed gradually severe polyuria and had very low AQP2 and AQP1 levels [11 ± 4% and 6 ± 2% ( n = 5) of controls ( n = 8), respectively; P < 0.05]. A similar reduction was observed for AQP3. The reduction in AQP expression in the proximal tubule and inner medullary collecting duct was confirmed by immunocytochemistry. Next, we found that intravenous α-MSH treatment of rats with ARF significantly reduced the ischemia-induced downregulation of renal AQPs and reduced the polyuria. In conclusion, the I/R injury is associated with markedly reduced expression of the collecting duct and proximal tubule AQPs, in association with an impairment of urinary concentration. Moreover, α-MSH treatment significantly prevented the reduction in expression of AQPs and renal functional defects. Thus decreased AQP expression is likely to contribute to the impairment in urinary concentration in the postischemic period.
Mass preserving registration for lung CT

In this paper, we evaluate a novel image registration method on a set of expiratory-inspiratory pairs of computed tomography (CT) lung scans. A free-form multi resolution image registration technique is used to match two scans of the same subject. To account for the differences in the lung intensities due to differences in inspiration level, we propose to adjust the intensity of lung tissue according to the local expansion or compression. An image registration method without intensity adjustment is compared to the proposed method. Both approaches are evaluated on a set of 10 pairs of expiration and inspiration CT scans of children with cystic fibrosis lung disease. The proposed method with mass preserving adjustment results in significantly better alignment of the vessel trees. Analysis of local volume change for regions with trapped air compared to normally ventilated regions revealed larger differences between these regions in the case of mass preserving image registration, indicating that mass preserving registration is better at capturing localized differences in lung deformation.
Strategic Trading and Trade Reporting by Corporate Insiders

Regulations in the pre-Sarbanes-Oxley era allowed corporate insiders considerable flexibility in strategically timing their trades and SEC filings, for example, by executing several trades and reporting them jointly after the last trade. We document that even these lax reporting requirements were frequently violated and that the strategic timing of trades and reports was common. Event study abnormal re-turns are larger after reports of strategic insider trades than after reports of otherwise similar nonstrategic trades. Our results also imply that delayed reporting is detrimental to market efficiency and lend strong support to the more stringent trade reporting requirements established by the Sarbanes-Oxley Act.
EntrEprEnEurship: intEntions, institutions and procE ssE s

Numerous technopreneurs start their ventures at college age, but the entrepreneurship of computer and electrical engineering (CEE) students remains under-studied. This study analysed both the combined and interactive effects of psychological factors on the entrepreneurial intentions of CEE students. In this study, entrepreneurial intention comprised two dimensions, conviction and preparation. Regarding the direct effects, the results indicated that self-efficacy affected entrepreneurial conviction the most, followed by negative emotion, intrinsic motivation, and metacognition. Negative emotion affected entrepreneurial preparation the most, followed by self-efficacy and positive emotion. The results also revealed several crucial interactive effects resulting from psychological factors. An increase in cognitive load increased the entrepreneurial intention of students exhibiting high intrinsic motivation and reduced the intention of students exhibiting low intrinsic motivation. An increase in metacognition increased the entrepreneurial conviction of students exhibiting either high or low intrinsic motivation. An increase in positive emotion reduced the entrepreneurial intention of students exhibiting high negative emotion and increased the intention of students exhibiting low negative emotion. An increase in self-efficacy increased the entrepreneurial intention of students exhibiting either high or low negative emotion.