Miracle-dz/UniFAR-FTUs huggingface dataset:
Automated lung screening system of multiple pathological targets in multislice CT

This research aims at developing a computer-aided diagnosis (CAD) system for fully automatic detection and classification of pathological lung parenchyma patterns in idiopathic interstitial pneumonias (IIP) and emphysema using multi-detector computed tomography (MDCT). The proposed CAD system is based on 3-D mathematical morphology, texture and fuzzy logic analysis, and can be divided into four stages: (1) a multi-resolution decomposition scheme based on a 3-D morphological filter was exploited to discriminate the lung region patterns at different analysis scales. (2) An additional spatial lung partitioning based on the lung tissue texture was introduced to reinforce the spatial separation between patterns extracted at the same resolution level in the decomposition pyramid. Then, (3) a hierarchic tree structure was exploited to describe the relationship between patterns at different resolution levels, and for each pattern, six fuzzy membership functions were established for assigning a probability of association with a normal tissue or a pathological target. Finally, (4) a decision step exploiting the fuzzy-logic assignments selects the target class of each lung pattern among the following categories: normal (N), emphysema (EM), fibrosis/honeycombing (FHC), and ground glass (GDG). The experimental validation of the developed CAD system allowed defining some specifications related with the recommendation values for the number of the resolution levels NRL = 12, and the CT acquisition protocol including the “LUNG” / ”BONPLUS” reconstruction kernel and thin collimations (1.25 mm or less). It also stresses out the difficulty to quantitatively assess the performance of the proposed approach in the absence of a ground truth, such as a volumetric assessment, large margin selection, and distinguishability between fibrosis and high-density (vascular) regions
Organizational Commitment in Mediating the Influence between Employee Empowerment and Performance at PT Anugerah Fasad Sejati

The objectives of this research are: (1) Knowing and Analyzing the positive and significant influence of empowerment on the Performance of PT. True Façade Grace; (2) Knowing and Analyzing the positive and significant effect of organizational commitment on the Performance of PT. True Façade Grace; (3 Knowing and Analyzing the positive and significant influence of empowerment on the organizational commitment of PT. True Façade Grace. The number of research samples was as many as 30 employees. The test tool used is a multiple and simple linear regression analysis using the statistical package for social scientists (SPSS) as a statistical test tool. The results showed that: (1) Empowerment has a positive and significant effect on employee performance; (2) Organizational commitment has a positive and significant effect on employee performance; (3) Empowerment has a positive and significant effect on organizational commitment; (4) Empowerment and organizational commitment simultaneously have a positive and significant effect on employee performance at PT. True Façade Grace; and (5) Organizational commitment is able to mediate a positive and significant influence of empowerment on employee performance at PT. True Façade Grace.
Digital Commons @ Michigan Tech Digital Commons @ Michigan Tech

: Computer vision techniques have been employed to characterize dynamic properties of structures, as well as to capture structural motion for system identiﬁcation purposes. All of these methods leverage image-processing techniques using a stationary camera. This requirement makes ﬁnding an effective location for camera installation difﬁcult, because civil infrastructure (i.e., bridges, buildings, etc.) are often difﬁcult to access, being constructed over rivers, roads, or other obstacles. This paper seeks to use video from Unmanned Aerial Vehicles (UAVs) to address this problem. As opposed to the traditional way of using stationary cameras, the use of UAVs brings the issue of the camera itself moving; thus, the displacements of the structure obtained by processing UAV video are relative to the UAV camera. Some efforts have been reported to compensate for the camera motion, but they require certain assumptions that may be difﬁcult to satisfy. This paper proposes a new method for structural system identiﬁcation using the UAV video directly. Several challenges are addressed, including: (1) estimation of an appropriate scale factor; and (2) compensation for the rolling shutter effect. Experimental validation is carried out to validate the proposed approach. The experimental results demonstrate the efﬁcacy and signiﬁcant potential of the proposed approach.
The Evolution of T-URF13 : Does Irreducible Complexity count or not?

site after AA 35 (by similarity to RLF32_ARATH). RLF32_ARATH is a signal peptide for import into mitochondria for a gene in Arabidopsis . That protein is involved in cell-cell signaling by way of Ca++ influx. What all this means is that T-URF13 probably came from a fully functional, pre-existing gene, and did not arise de novo . ” (M C L ATCHIE 2019)
Dynamic pricing or not? — Pricing models of Finnish taxi dispatch centers under the Act on Transport Services

In 1.7. 2018, Finnish government liberalized Finnish taxi markets to create possibilities to introduce new technology, digitalization and new business models into transport sector. Also allowing usage of dynamic pricing in Finnish taxi markets was specifically mentioned. Before the Act on Transport Services came into effect, Finnish regulations specified maximum limits for fares, taxi licenses and operational area where dispatch centers were allowed to operate. In this study, I will look into how pricing models have evolved after the Act on Transport Services came into effect by collecting data from internet and conducting interviews to understand purposes of the changes more in-depth. Also, I looked into how pricing models have become more dynamic compared to old pricing model, and how dynamic pricing is described in literature. Lastly, I combined list of different aspects that affect to implementation of dynamic pricing. Currently, none of the Finnish dispatch centers have implemented similar dynamic pricing based on demand and supply in real-time as what Uber uses. But based on results, Finnish dispatch center's pricing models have evolved to be more dynamic even though Finnish dispatch center's do not consider them to be dynamic. Also, there are obstacles related to willingness, technology and regulations why Finnish dispatch centers do not consider dynamic pricing similar to what Uber uses to be currently possible to implement.
TLR2Membrane Heparan Sulfate and Involves Capsid in Macrophages Is Facilitated by Cytokine Induction by the Hepatitis B Virus

The hepatitis B virus (HBV) core Ag (HBcAg) serves as the structural subunit of the highly immunogenic capsid shell. HBcAg harbors a unique arginine-rich C terminus that was implicated in immune responses induced by the capsid. In this study, we examined the capacity of the HBV capsid to induce proinﬂammatory and regulatory cytokines in human THP-1 macrophages and the possible underlying mechanism. Full-length HBc capsids, but not (cid:1)(cid:2) c-144 capsids lacking the arginine-rich domain of HBcAg, efﬁciently bound differentiated THP-1 macrophages and strongly induced TNF- (cid:3) , IL-6, and IL-12p40. Capsid binding to macrophages and cytokine induction were independent of the RNA associated with the arginine-rich domain. Soluble heparin and heparan sulfate but not chondroitin sulfates greatly diminished cytokine induction through inhibition of capsid binding to THP-1 macrophages. Furthermore, serine phosphorylation in the arginine-rich domain modulates capsid binding to macrophages and the cytokine response. Induction of cytokines by the capsid involved activation of NF- (cid:4) B, ERK-1/2, and p38 MAPK and did not require endosomal acidiﬁcation. Finally, NF- (cid:4) B activation by the capsid in HEK 293 cells speciﬁcally required expression of TLR2 and was compromised by soluble heparin. Thus, cytokine induction by the HBV capsid in macrophages is facilitated by interaction of its arginine-rich domain with membrane heparan sulfate and involves signaling through TLR2. The Journal of Immunology, 2005, 175: 3165–3176.
Brief report Deletion of the p110 (cid:1) isoform of phosphoinositide 3-kinase in platelets reveals its central role in Akt activation and thrombus formation in vitro and in vivo

During platelet activation, phosphoinositide 3-kinases (PI3Ks) produce lipid second messengers participating in the regulation of functional responses. Here, we generated a megakaryocyte-restricted p110 (cid:1) null mouse model and demon-strated a critical role of PI3K (cid:1) in platelet activation via an immunoreceptor ty-rosine-based activation motif, the glycoprotein VI-Fc receptor (cid:2) -chain complex, and its contribution in response to G-protein–coupled receptors. Interestingly, the production of phosphatidylinositol 3,4,5-trisphosphate and the activation of protein kinase B/Akt were strongly inhibited in p110 (cid:1) null platelets stimulated either via immunoreceptor tyrosine-based activation motif or G-protein–coupled receptors. Functional studies showed an important delay in ﬁbrin clot retraction and an almost complete inability of these platelets to adhere onto ﬁbrinogen under ﬂow condition, suggesting that PI3K (cid:1) is also acting downstream of (cid:3) IIb (cid:1) 3 . In vivo studies showed that these mice have a normal bleeding time and are not pro-tected from acute pulmonary thromboembolism but are resistant to thrombosis after FeCl 3 injury of the carotid, suggesting that PI3K (cid:1) is a potential target for antithrombotic drugs. (Blood. 2010;115: 2008-2013)
Effect of palm oil supplementation level on in vitro ruminal fermentability

Palm oil is an abundant source of oil in Indonesia and some other tropical countries. This research aimed to investigate the effect of palm oil supplementation levels on in vitro rumen fermentability by integrating data from various related studies. The data used were 40 data points from 13 studies which reported different levels of palm oil supplementation on in vitro rumen fermentability and nutrient digestibility. Data were tabulated, uniformed for the unit in each parameter, then analyzed using a linear regression method by employing SPSS software version 20. The results showed that palm oil supplementation significantly (P<0.05) increased bacterial population and isobutyrate proportion, while reduced protozoa population, and tended to reduce total volatile fatty acids (P<0.1). Supplementation of palm oil did not affect dry mater digestibility, organic matter digestibility, methane emission, pH, total gas, ammonia, acetate proportion, propionate, butyrate, valerate and isovalerate. It can be concluded that palm oil supplementation modifies some parameters of in vitro rumen fermentation.
Intelligent ubiquitous technology as a precision agri-food framework: a proposed framework

Agri-Food is another term for the agriculture-based food sector, which is currently one of Indonesia’s main pillars of the national economy. One of the well-known plants for agricultural-based food processing called Agri-Food in Indonesia is Cocoa. Cocoa is one of the plantation commodities that has an essential role in economic activities in Indonesia. Given the critical role of cocoa as a source of the country’s economy, it must guarantee productivity and quality of cocoa and sustainability. To ensure cocoa productivity and quality sustainability, agricultural activities in today’s era can integrate intelligent ubiquitous technology as a framework for obtaining precise production results. What can measure precision production results from three aspects: increasing agricultural land productivity, reducing production costs, and minimizing the environmental impact. This paper discusses the proposed framework with intelligent ubiquitous technology to support precision agri-food that focuses on context-aware systems. The context-aware system in the proposed framework is expected to become a control center in collecting and processing data in real-time to help farmers make the best decisions regarding weather conditions and diseases caused by plants.
The Diffuse X-Ray Background of the Insight-HXMT/LE Telescope in the Galactic Plane

Accurately estimating of diffuse X-ray background (DXB) is essential for the investigation of sources in the Galactic plane observed with Insight-HXMT/LE, which is a collimated telescope in the soft X-ray energy band with a relatively large field of view. In the high-Galactic-latitude region, DXB is dominated by the cosmic X-ray background, which is almost uniform, but DXB in the Galactic plane region is more complex due to the Galactic H i absorption and the contribution of the Galactic ridge X-ray emission. This study, as a part of background estimation of LE, focuses on estimating the contribution of DXB in the Galactic plane to Insight-HXMT/LE observations. We calculate DXB confined in a region of 0° < l < 360° and ∣b∣ < 10°, where l and b denote Galactic longitude and latitude, respectively, with the first 3 yr of Galactic-plane-scanning survey data of Insight-HXMT/LE. The Galactic plane is divided into 360 × 20 small pixels (1° × 1° per pixel), and a DXB spectrum is obtained for each pixel. An indirect method is developed for the pixels of the bright source regions, which brings a systematic error of ∼10%. The systematic error brought by the satellite attitude is ∼7% on average for all the pixels in the Galactic plane. The LE DXB spectrum obtained in this study is consistent with that reported by RXTE’s Proportional Counter Array.
Effect of dietary supplementation with flying fish (exocoetidae) silage on the egg quality and duck performance

This study aimed to evaluate the effect of dietary supplementation with flying fish silage on egg quality and duck performance. This study was design using a completely randomized design (CRD), 4 treatments of dietary supplementation (P0=7%, P1=8%, P2=9%, P3=10%) with 5 replications of laying duck. The observed variable of the egg quality was egg weight, egg yolk index (EYI), and Haugh unit (HU), and the duck performance were daily weight gain (DWG) and feed conversion ratio (FCR). The data were analyzed using ANOVA and followed by Duncan’s test. The results showed that the flying fish waste silage have no significant effect on egg quality and duck performance (P> 0.05). The EYI ranged from 0.790 to 0.816, HU ranged from 95.04 to 99.09, egg weight ranged from 63 to 66.92 g, DWG ranged from 3.34 to 5.42, and FCR ranged from 1.85 to 2.26. In conclusion, dietary supplementation with flying fish waste silage up to a level of 10% was not able to decrease egg quality and duck performance.
False Memory for Trauma-Related DRM Lists in Adolescents and Adults with Histories of Child Sexual Abuse

The purpose of the present research was to examine Deese-Roediger-McDermott (DRM) false memory for trauma-related and nontrauma-related lists in adolescents and adults with and without documented histories of child sexual abuse (CSA). Individual differences in psychopathology and adult attachment were also explored. Participants were administered free recall and recognition tests after hearing CSA, negative, neutral, and positive DRM lists. In free recall, CSA and negative lists produced the most false memory. In sharp contrast, for recognition, CSA lists enjoyed the highest d’ scores. CSA-group adolescents who evinced greater PTSD symptoms had higher rates of false memory compared to: 1) nonCSA-group adolescents with higher PTSD symptom scores (free recall), and 2) CSA-group adolescents with lower PTSD symptom scores
Dynamic Radiosity

In this paper we propose a novel radiosity implementation which we called dynamic radiosity . By storing and updating local form-factor matrix of the patches closest to the observer we have solved 2 main problems of radiosity algorithm: (1) quadratic complexity of the algorithm and thus difﬁculty of applying it to a large-scale scenes, and (2) the possibility of changing geometry on the ﬂy (dynamic geometry).
Bee Swarm Optimization for Document Information Retrieval using Data Mining Technique

— In data mining field to solve the fundamental documental information retrieval problem The use full knowledge is first discover using the data mining technique. The swarm uses this knowledge to explore the whole space of document intelligently. The two data mining technique are used in pre-processing step. The first one is K-Mean algorithm its aim is to split the collection of document in similar cluster, while second one is frequently mining technique which extract the most closed frequently terms on each cluster already created using the DCI_Closed algorithm,For solving steps BSO (Bee Swarm Optimization)is used to explore the cluster of document deeply. These approach are evaluated on well know collection such as wiki links and webdocs.
Model For Spectral Classification

: Classification of astronomical data has always been a challenging problem faced by astronomers. Classification if performed by ensemble method gives more accurate results than single classifier. In the present study, model for spectral classification is developed using Salford predictive modeler in context of astronomical objects catalogue SDSS. Random forest ensemble method is used for model development and classification results are analyzed. Experimental results show that the model is beneficial for spectral classification.
ACUTE KIDNEY INJURY IN THE CRITICALLY ILL PATIENT: A REVIEW STUDY

: Objective: A comprehensive review of the literature to provide a focused and thorough update on the issue of acute kidney injury (AKI) in the surgical patient. Methods: A PubMed and Medline search was performed and keywords included AKI, renal failure, critically ill patients. Findings: A common clinical problem encountered in critically ill patients is AKI. The recent consensus definitions for the diagnosis and classification of AKI (i.e., Risk, Injury, Failure, Loss of kidney function, and End-stage kidney disease/Acute Kidney Injury Network) have enabled us to standardize the severity of AKI and facilitate strategies for prevention. These strategies as well as treatment modalities of AKI are discussed. We provide a concise overview of the issue of renal failure. Conclusions: Acute kidney injury is a common problem in the critically ill patient and is associated with worse clinical outcomes. A standardized definition and staging system has led to improved diagnosis and understanding of the pathophysiology of AKI. There are many trials leading to improved prevention and management of the disease.
Prediction of Weight Gain in Inbred Mouse Strains

Inbred C57BL/6J mice have been used to study diet-induced obesity and the consequential physiological effects associated with it. Little is understood about predictive factors that predispose an animal to weight gain, however there is substantial evidence that there is a key, discreet developmental window in which these factors are able to predict diet-induced obesity. To address the non-inherited factors which cause diet-induced obesity, highly genetically similar mice will be fed a high fat diet after initial collection of physiological and metabolic parameters. We will retrospectively determine which factors predicted weight gain in these inbred mice, and then use these factors to molecularly characterize juvenile mice which are predisposed, or resistant to diet-induced obesity. obesity. We will also test the speciﬁc hypothesis that transcriptomic changes in adipose or muscle tissue underlie this effect. This innovative approach, which integrates a rigourous statistical approach, a novel strong predictor of diet-induced obesity and cutting edge molecular techniques will improve how we understand the factors which lead to obesity. Funding this study will also provide preliminary data towards an expanded study in which the underlying mechanisms causing these differences are identiﬁed. fed mice, relative to the control diets. We tested whether this is true for genetically obese leptin deﬁcient mice which are obese due to hyperphagia rather than diet-induced obesity, and found that this increased variance is speciﬁc to HFD-induced obesity (data not shown). These data tell us there are dramatically different responses to diet-induced obesity in highly genetically similar mice in a well controlled environment.
HORIZONS Disease in freshwater zooplankton: what have we learned and where are we going?

In the last few decades, zooplankton (especially Daphnia ) have emerged as a model system for examining the ecological and evolutionary roles of parasites in populations, communities and ecosystems. We build on this foundation, moving towards continued integration of epidemiology and community ecology to understand the distribution and abundance of infectious diseases. Future studies should link processes that occur over multiple time scales: from deep-time phylogenetic patterns that have shaped and been shaped by host–parasite interactions, to the dynamics that play out over decades or within seasons, to the physiological time scales over which parasites operate to infect and kill their hosts. We also consider how the combination of processes across multiple time scales has shaped the biogeography and changing mosaic of host–parasite interactions in time and space. Finally, we consider a future where zooplankton–parasite interactions are inﬂuenced by global change. The Daphnia –parasite model system offers a powerful tool to link anthropogenic changes to infectious diseases, including zoonotic diseases of signiﬁcance to human health.
Approximations de type champ moyen des modèles de champ de Markov pour la segmentation de données spatiales

Ce travail s'inscrit dans la recherche actuelle en segmentation markovienne d'images. Cela concerne les problemes de selection de modele, d'estimation des parametres et de segmentation. Les methodes classiques pour traiter ces trois etapes ne peuvent etre appliquees directement dans le cas des champs de Markov caches du fait de la structure de dependance spatiale du modele. Des approximations sont necessaires. Une solution, assez couteuse, consiste a utiliser des simulations de Monte-Carlo. Nous proposons des methodes simples et moins lourdes, basees sur l'approximation en champ moyen d'un champ de Markov. L'interet de cette methode est de se ramener a un systeme de variables independantes, plus facile a manipuler. Dans un premier temps nous avons etudie, puis generalise le principe du champ moyen pour la mise en oeuvre de l'algorithme EM pour l'estimation des parametres du modele. Il en resulte une classe d'algorithmes, les algorithmes EM de type champ moyen, qui presentent l'avantage de prendre en cmpte la structure markovienne tout en ayant une simplicite de mise en oeuvre identique au cas independant. Parmi ces procedures, nous distinguons l'algorithme en champ simule, proche de l'algorithme Monte-Carlo EM(MCEM), en raison de ses performances en termes d'estimation et de segmentation dans le cas d'images simulees et reelles. Nous presentons ensuite des conditions suffisantes pour la convergence presque sure de l'algorithme MCEM, dans un contexte ou peu de resultats sont disponibles a cause de la complexite du modele markovien. Ces resultats sur l'estimation et la segmentation dans un cadre ou le nombre de classes du modele est connu sont completes par un travail sur l'etape de selection d'un modele markovien. La encore, l'outil champ moyen est interessant puisqu'il permet de definir des approximations simples de criteres classiques (Bayesian Information Criterion, Integrated Likelihood) et qui s'averent prometteuses en pratique.