Miracle-dz/UniFAR-FTUs huggingface dataset:
Enhanced Graph-Learning Schemes Driven by Similar Distributions of Motifs

This paper looks at the task of network topology inference, where the goal is to learn an unknown graph from nodal observations. One of the novelties of the approach put forth is the consideration of prior information about the density of motifs of the unknown graph to enhance the inference of classical Gaussian graphical models. Directly dealing with the density of motifs constitutes a challenging combinatorial task. However, we note that if two graphs have similar motif densities, one can show that the expected value of a polynomial applied to their empirical spectral distributions will be similar. Guided by this, we first assume that we observe a reference graph with a density of motifs similar to that of the sought graph, and then, we exploit this relation by incorporating a similarity constraint and a regularization term in the graph learning optimization problem. The (non-)convexity of the optimization problem is discussed, and a computationally efficient alternating majorization-minimization algorithm is designed. We assess the performance of the proposed method through exhaustive numerical experiments, where different constraints are considered and compared against popular alternatives on both synthetic and real-world datasets.
Lift at Zero Reynolds Number

Lift forces are widespread in hydrodynamics. These are typically observed for big and fast objects, and are often associated with a combination of fluid inertia (i.e. large Reynolds numbers) and some specific symmetrybreaking mechanism. In contrast, low-Reynolds-number flows are usually overdamped and do not exhibit such peculiar and interesting features. However, the inclusion of boundary effects qualitatively changes this picture. Indeed, in the context of soft and biological matter, recent studies have revealed the emergence of novel lift forces generated by boundary softness, flow gradients and/or surface charges. The aim of the present review is to gather and analyse this corpus of literature, in order to identify and unify the questioning within the associated communities, and pave the way towards future research around lift effects at low Reynolds numbers.
Explaining Chest X-ray Pathologies in Natural Language

Most deep learning algorithms lack explanations for their predictions, which limits their deployment in clinical practice. Approaches to improve explainability, especially in medical imaging, have often been shown to convey limited information, be overly reassuring, or lack robustness. In this work, we introduce the task of generating natural language explanations (NLEs) to justify predictions made on medical images. NLEs are human-friendly and comprehensive, and enable the training of intrinsically explainable models. To this goal, we introduce MIMIC-NLE, the first, large-scale, medical imaging dataset with NLEs. It contains over 38,000 NLEs, which explain the presence of various thoracic pathologies and chest X-ray findings. We propose a general approach to solve the task and evaluate several architectures on this dataset, including via clinician assessment.
Improved Calibration Procedure for Wireless Inertial Measurement Units without Precision Equipment

—Inertial measurement units (IMUs) are used in medical applications for many different purposes. However, an IMU’s measurement accuracy can degrade over time, entailing re-calibration. In their 2014 paper, Tedaldi et al. presented an IMU calibration method that does not require external precision equipment or complex procedures. This allows end-users or personnel without expert knowledge of inertial mea- surement to re-calibrate the sensors by placing them in several suitable but not precisely deﬁned orientations. In this work, we present several improvements to Tedaldi’s method, both on the algorithmic level and the calibration procedure: adaptions for low noise accelerometers, a calibration helper object, and packet loss compensation for wireless calibration. We applied the modiﬁed calibration procedure to our custom-built IMU platform and veriﬁed the consistency of results across multiple calibration runs. In order to minimize the time needed for re-calibration, we analyzed how the calibration result accuracy degrades when fewer calibration orientations are used. We found that N=12 different orientations are sufﬁcient to achieve a very good calibration, and more orientations yielded only marginal improvements. This is a signiﬁcant improvement compared to the 37 to 50 orientations recommended by Tedaldi. Thus, we were reduced the time required to calibrate a single IMU from ca. 5 minutes to less than 2 minutes without sacriﬁcing any meaningful calibration accuracy.
At the Intersection of Deep Learning and Conceptual Art: The End of Signature

MIT wanted to commission a large scale artwork that would serve to 'illuminate a new campus gateway, inaugurate a space of exchange between MIT and Cambridge, and inspire our students, faculty, visitors, and the surrounding community to engage with art in new ways and to have art be part of their daily lives. ' Among other things, the art was to reflect the fact that scientific discovery is often the result of many individual contributions, both acknowledged and unacknowledged. In this work, a group of computer scientists collaborated with a conceptual artist to produce a collective signature, or a signature learned from contributions of an entire community. After collecting signatures from two communities -- the university, and the surrounding city -- the computer scientists developed generative models and a human-in-the-loop feedback process to work with the artist create an original signature-like structure representative of each community. These signatures are now large-scale steel, LED and neon light sculptures that appear to sign two new buildings in Cambridge, MA.
Title : Metaecosystem dynamics drive community composition in experimental , multi-1 layered spatial networks 2 3 Running title : Metaecosystems as multi-layered landscapes 4 Type of

Data accessibility data : R code and data to reproduce analysis and experimental 25 results are available on Zenodo (doi:XXXX). Abstract Cross-ecosystem subsidies are studied with a focus on resource exchange at local 37 ecosystem boundaries. This perspective ignores regional dynamics that can emerge via 38 constraints imposed by the landscape, potentially leading to spatially-dependent effects of 39 subsidies and spatial feedbacks. Using miniaturized landscape analogues of river 40 dendritic and terrestrial lattice spatial networks, we manipulated and studied resource 41 exchange between the two whole networks. We found community composition in 42 dendritic networks depended on the resource pulse from the lattice network, with the 43 strength of this effect declining in larger downstream patches. In turn, this spatially- 44 dependent effect imposed constraints on the lattice network with populations in that 45 network reaching higher densities when connected to more central patches in the 46 dendritic network. Consequently, localized cross-ecosystem fluxes, and their respective 47 effects on recipient ecosystems, must be studied in a perspective taking into account the 48 explicit spatial configuration of the landscape. 49
Identifying a Specific Biomarker Allows for Improved Quality of Life

Serositis and intermittent fever with cyclic white cell count elevations above normal range pose diagnostic challenges. Identifying specific biomarkers may allow for earlier treatment and improved quality of life for those diseases that share common symptoms and fall ambiguously in the domain of the rheumatologist, the infectious disease specialist or the hematologist. As our approach to diagnostics is growing increasingly sophisticated and molecular tools are becoming more commonplace, genotype-phenotype correlations should become immediately clinically useful.
Perilaku Penggunaan Portal E-office di Bank XYZ Dengan Pendekatan Model UTAUT

Bank XYZ, one of the state-owned banks in Indonesia has been implementing a web-based electronic office system, namely DiO (Digital Office System), since 2014. DiO provides a number of office automate facilities, such as office administration/management, word processing, and communication/mailing system. This research aims to analyze the most affecting factor that underlies the acceptance and usage of DiO by the employees (respondents) using the Unified Theory of Acceptance and Use of Technology (UTAUT) model approach. The study was conducted by using online survey involving employees of Bank XYZ. 380 samples were collected by using the judgment sampling method. Structural Equation Model (SEM) was applied to analyze the data collected from the respondents. The result shows that the employees’ use behavior of DiO was significantly influenced by the behavioral intention to use and facility condition. Furthermore, the employees’ behavioral intention to use DiO system is significantly influenced by performance expectancy; on the contrary, effort expectancy and social influence have no effect. Keywords: e-office, DiO System, UTAUT model, behavioral intention to use, use behavior, SEM ABSTRAK Bank XYZ, salah satu bank milik pemerintah yang telah menerapkan sistem elektronik office, disebut DiO (Digital Office System) sejak tahun 2014. Aplikasi DiO mengakomodir beberapa fasilitas otomasi dalam bentuk pengelolaan administrasi perkantoran, pengolahan kata dan komunikasi/pengiriman surat menyurat. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang memengaruhi perilaku penggunaan DiO oleh karyawan Bank XYZ dengan pendekatan model the Unified Theory of Acceptance and Use of Technology (UTAUT). Penelitian telah dilaksanakan dengan melibatkan karyawan Bank XYZ sebagai responden. Sampel sebanyak 380 dikumpulkan dengan menggunakan metode judgement sampling. Data dianalisis dengan Structural Equation Model(SEM). Hasil penelitian menunjukkan perilaku penggunaan DiO secara aktual (use behavior) dari karyawan Bank XYZ secara signifikan dipengaruhi oleh behavioral intention to use dan fasilitas pendukung. Behavioral intention to use DiO karyawan Bank XYZ hanya terbentuk karena pengaruh harapan kinerja sementara harapan usaha dan pengaruh sosial tidak berpengaruh. Kata kunci: e-office, sistem DiO, model UTAUT, behavioral intention to use, use behavior, SEM
UNIVERSITY OF CALIFORNIA SANTA CRUZ OVERLAPPING AND DISTINCT ROLES OF TWO C. ELEGANS H3 LYSINE 36 HISTONE METHYLTRANSFERASES A dissertation submitted in partial satisfaction of the requirements for the degree of DOCTOR OF PHILOSOPHY

vi ACKNOWLEDGMENTS . viii CHAPTER 1: INTRODUCTION. 1 Differential gene expression gives rise to unique cell types. 1 Gene expression is regulated by chromatin organization. 1 A memory of gene expression patterns can be encoded in histone modifications and can be transmitted through cell divisions. 2 The consequences of H3K36 methylation are variable and depend on the organism, chromatin context, and genomic position. 3 CHAPTER 2: OVERLAPPING AND DISTINCT ROLES OF TWO C. ELEGANS H3 LYSINE 36 HISTONE METHYLTRANSFERASES . 13 INTRODUCTION . 13 RESULTS . 16 In C. elegans, H3K36me3 is generated by both MET-1 and MES-4. 16 In germ cells, both MET-1 and MES-4 generate H3K36me3 on the autosomes at all stages, and MET-1 additionally generates H3K36me3 on the X chromosomes in late oogenesis. 17 met-1 mutants have a temperature-sensitive and progressive fertility defect. 18
A Novel Prediction Model for Car Body Vibration Acceleration Based on Correlation Analysis and Neural Networks

This paper aims to create a prediction model for car body vibration acceleration that is reliable, effective, and close to real-world conditions. Therefore, a huge amount of data on railway parameters were collected by multiple sensors, and different correlation coefficients were selected to screen out the parameters closely correlated to car body vibration acceleration. Taking the selected parameters and previous car body vibration acceleration as the inputs, a prediction model for car body vibration acceleration was established based on several training algorithms and neural network structures. Then, the model was successfully applied to predict the car body vibration acceleration of test datasets on different segments of the same railway. The results show that the proposed method overcomes the complexity and uncertainty of the multiparameter coupling analysis in traditional theoretical models. The research findings boast a great potential for application.
This information is current as Strains of the Virus pp65 That Are Conserved Between Eight Epitopes in the Cytomegalovirus Protein HLA-A*0201-Restricted Cytotoxic T Cell Identification of Three

John Goldman, Jane E. Grundy and J. Alejandro MadrigalCarles Morte, Iain Scott, Christina Baboonian, Behnam Zal, Alejandra Solache, Claire L. Morgan, Anthony I. Dodi,http://www.jimmunol.org/content/163/10/5512J Immunol€1999; 163:5512-5518; ;Referenceshttp://www.jimmunol.org/content/163/10/5512.full#ref-list-1This article cites 44 articles, 22 of which you can access for free at: Subscriptionshttp://jimmunol.org/subscriptionsInformation about subscribing to The Journal of Immunology is online at: Permissionshttp://www.aai. org/ji/copyright.htmlSubmit copyright permission requests at: Email Alertshttp://jimmunol.org/cgi/alerts/etocReceive free email-alerts when new articles cite this article. Sign up at:
Expression of Escherichiacoli Min system in Bacillussubtilisand its e¡ect on cell division

In both rod-shaped Bacillus subtilis and Escherichia coli cells, Min proteins are involved in the regulation of division septa formation. In E. coli , dynamic oscillation of MinCD inhibitory complex and MinE, a topological speciﬁcity protein, prevents improper polar septation. However, in B. subtilis no MinE is present and no oscillation of Min proteins can be observed. The function of MinE is substituted by that of an unrelated DivIVA protein, which targets MinCD to division sites and retains them at the cell poles. We inspected cell division when the E. coli Min system was introduced into B. subtilis cells. Expression of these heterologous Min proteins resulted in cell elongation. We demonstrate here that E. coli MinD can partially substitute for the function of its B. subtilis protein counterpart. Moreover, E. coli MinD was observed to have similar helical localization as B. subtilis MinD.
A Pattern-based Adaptation for Abstract Applications in Pervasive Environments

—Using service-oriented architecture, applications can be deﬁned as an assembly of abstract components that are mapped to a concrete level to fulﬁll their executions. However, several problems may be detected during their mapping as well as during their executions, which prevent them to be executed successfully. Thus, there is a need to adapt them according to the given contexts. In this article, we present some situational contexts that may trigger the adaptation of applications at init time or during their execution. Upon detection of certain changes in context, the applications are adapted accordingly. For this goal, we propose a set of adaptation patterns that provide an extra-functional behavior with respect to the functional behavior of the applications. These patterns are injected into abstract applications if a relevant context is sensed to ensure their mapping as well as their execution.
Application of Modified K-Means Clustering Algorithm for Satellite Image Segmentation based on Color Information

: The Image segmentation is the process of clustering or partitioning the image into number of sub images based on any one characteristics of the image such as colour, intensity or texture. The segmentation is the one of the middle level important process in the image analysis. The number of segmentation algorithms has been developed for various applications. In the field of satellite image processing, the segmentation is one of the vital step for gathering huge amount of information from the satellite images. The basic k-means clustering algorithm is simple and fast. The main problem associated with this clustering is not producing the same result for every run because the resulting clusters depends on the initial random assignments. In this paper, a modified k-means clustering algorithm is proposed for the effective segmentation of the satellite images. This proposed method always produces the same result for every run. The experimental results proved that the improved k-means algorithm is an efficient and effective method for the satellite image segmentation for the exact and accurate segmentation of satellite images.
An Approach for Preparation of Excellent Antiwear PTFE Nanocomposites by Filling As-prepared Carbon Nanotubes/ Nanorods (CNT/CNR) Mixed Nano-Carbon Material

: The one-dimensional carbon nanotubes/nanorods (CNT/CNR) mixed nano-carbon material was successfully prepared by halloysite nanotubes (HNTs) as the template for the first time, in which CNT was formed through PVA modification in internal surface of HNTs and CNR was obtained by nanocasting PVA in hollow nanostructure of HNTs. The CNT of the mixture with flexible structure has ca. 20 nm in pore diameter and ca. 500 nm in length, whereas the CNR with hard and solid structure shows ca. 30 nm in diameter and ca. 2 μm in length. For application as fillers, the CNT/CNR mixed na-no-material is used to reinforce the properties of polytetrafluoroethylene (PTFE). The mechanical and tribological properties of PTFE nanocomposites were intensively examined by a series of testing. The ring-on-ring counterface was used to eval-uate the tribological behavior of the nanocomposites. The results showed that the volume wear rate of the CNT/CNR-re-inforced PTFE nanocomposite after being filled with 0.3% of CNT/CNR was only 1/700 of that of the pure PTFE under a load of 200 N and a rotary speed of 200 r/min, while other mechanical and tribological performance was comparable to the performance of pure PTFE, which exhibited a desirable application prospect.
Induces Allergic Rhinitis in Mice Inhalation of Toluene Diisocyanate Vapor

Diisocyanates are the leading cause of occupational asthma, and epidemiological evidence suggests that occupational rhinitis is a comorbid and preceding condition in patients who develop asthma. The goal of the present studies was to develop and characterize a murine model of toluene diisocyanate (TDI)-induced rhinitis. Female C57BL/6 mice were exposed to workplace-relevant concentrations of TDI vapor via inhalation for 4 h/day for 12 days with or without a 2-wk rest period and TDI challenge. Mice exposed 12 consecutive weekdays to 50 parts per billion TDI vapor showed elevated total serum IgE and increased TDI-speciﬁc IgG titers. Breathing rates were decreased corresponding with increased inspiratory time. TDI exposure elevated IL-4, IL-5, IL-13, and IFN- (cid:1) mRNA expression in the nasal mucosa, suggesting a mixed Th1/Th2 immune response. Expressions of mRNA for proinﬂammatory cytokines and adhesion molecules were also up-regulated. These cytokine changes corresponded with a marked inﬂux of inﬂammatory cells into the nasal mucosa, eosinophils being the predominant cell type. Removal from exposure for 2 wk resulted in reduced Ab production, cytokine mRNA expression, and cellular inﬂammation. Subsequent challenge with 50 parts per billion TDI vapor resulted in robust up-regulation of Ab production, cytokine gene expression, as well as eosinophilic inﬂammation in the nasal mucosa. There were no associated changes in the lung. The present model shows that TDI inhalation induces immune-mediated allergic rhinitis, displaying the major features observed in human disease. Future studies will use this model to deﬁne disease mechanisms and examine the temporal/dose relationship between TDI-induced rhinitis and asthma. The Journal of Immunology, 2007, 179: 1864–1871.
SYBR GREEN BASED DUPLEX RT-qPCR DETECTION OF A BEGOMOVIRUS, TOMATO LEAF CURL NEW DELHI VIRUS- [ POTATO ] ALONG WITH POTATO VIRUS X AND POTATO LEAFROLL VIRUS IN POTATO

: SYBR green based RT-qPCR assay coupled with melting curve analysis was developed for the detection of Tomato leaf curl New Delhi virus-potato (ToLCNDV-[potato]), Potato virus X (PVX), and Potato leafroll virus (PLRV). The assays were standardized using four sets of primers for each target and selecting best primer set, optimizing primer concentration and cycle conditions. The amplification of products were verified by specific melting peaks for each targets viz . , ToLCNDV-[potato], PLRV, PVX and ef-1 α gene of potato. Then, duplex RT-qPCR assays were developed to detect these viruses along with elongation factor 1- α ( ef-1 α ) gene as plant internal control and to detect ToLCNDV-[potato] along with PVX and PLRV. In duplex RT-qPCR assay, a melting peak specific to ToLCNDV-[potato] was observed along with melting peak of other virus/ ef-1 α gene. The assays could detect up to 20 copies/µl using serially diluted plasmids harbouring the targets and up to 0.025 fg of total RNA from infected plant tissues. Sensitivity of duplex RT-qPCR assay was comparable to singleplex RT-qPCR assays. The developed assays could consistently detect these viruses in field samples and was more sensitive than conventional RT-PCR.
KNOWLEDGE OF LAPAROSCOPIC RESTORATION OF PARA-UMBILICAL HERNIA THROUGH CONSERVATIVE EXPOSED OVERHAUL

: Objective: The main purpose of the existing research endured to relate knowledge of laparoscopic renovation of paraumbilical hernia over conventional unprotected renovation in relations of working time, pre- also post-operatively problems, entire hospital stays, pole-operation discomfort, disease, decease similarly cosmesis. Methods: Our current research was conducted at Services Hospital Lahore Pakistan from October 2018 to March 2019, similarly involved respondents that endured recognized via para-umbilical hernias of unrelated extents through research stage. The patients remained alienated into 2 sets. Set A endured laparoscopic operation, whereas Set B had conservative net reparation. SPSS 23 remained practiced for numerical examination. Results: In overall of 360 patients in took part in our research, 207(59.47%) endured at Services Hospital, while additional 148(40.53%) cases got operation in two private area hospitals. The general average oldness of our research model stayed 44.17±9.76 years (range: 23-72). Here remained 171(48.29%) patients in Set A also 179(51.71%) Set B. The operational period remained reasonably lengthier in Set A (p<0.0002) particularly in initial 35 surgeries. The laparoscopic method remained connected by the reasonably little occurrence of operational also post-operative problems, condensed period of hospital visits also cosmetically improved outcomes (p<0.05). Here remained no humanity in the current sequence. Conclusion: Laparoscopic para-umbilical hernia repair, though fresh process, existing auspicious outcomes correlated to uncovered traditional technique. Nevertheless, here remains actual protracted resources to go earlier coming to arrangement.