Miracle-dz/UniFAR-FTUs huggingface dataset:
A bipartite element with allele-specific functions safeguards DNA methylation imprints at 1 the

Sanford I Weill Department of Medicine, Sandra and Edward Meyer Cancer Center, Weill 7 Cornell Medicine, New York, NY 10021 USA 8 2 Skirball Institute of Biomolecular Medicine, Department of Cell Biology, NYU Langone Medical 9 Center, New York, NY 10016, USA; Helen L. and Martin S. Kimmel Center for Biology and 10 Medicine, NYU Langone Medical Center, New York, NY 10016, USA. 11 3 Department of Pathology, New York University School of Medicine, New York, NY 10016, 12 USA. 13 4 Department of Computational Biology of Infection Research, Helmholtz Centre for Infection 14 Research, 38124 Braunschweig, Germany. 15 5 Weill Cornell/Rockefeller/Sloan Kettering Tri-Institutional MD-PhD program, New York, NY, 16 USA. 17 6 Department of Pathology and Cell Biology, Columbia University Irving Medical Center, New 18 York, NY 10032, USA. 19 7 Department of Neurology, Neuroscience and Rehabilitation and Regenerative Medicine, 20 Columbia University Irving Medical Center, New York, NY 10032, USA; Center for Motor Neuron 21 Biology and Disease and Columbia Stem Cell Initiative, Columbia University Irving Medical 22 Center, New York, NY 10032, USA. 23 8 Laura and Isaac Perlmutter Cancer Center and Helen L. and Martin S. Kimmel Center for Stem 24 Cell Biology, NYU School of Medicine, New York, NY, USA. Applied Bioinformatics 25 Laboratories, NYU School of Medicine, New York, NY, USA. 26 9 Lead contact 27
Estimation and Comparison of Impact of Single Airport Delay on National Airspace System with Multivariate Simultaneous Models

U.S. air transport is under significant stress, experiencing frequent delays and high levels of congestion. At certain times, individual airports become bottlenecks within the National Airspace System (NAS). Major causes of flight delay at airports include overscheduling, en route convective weather, reduced ceiling and visibility around airports, and upstream delay propagation. Delay at one airport can be passed on to other airports in the NAS. Hence, to allocate resources for airport capacity expansion in an optimal way, the impact of single airport delay to the NAS and vice versa must be quantified. This research applies multivariate simultaneous regression models to quantify airport delay spillover effects across 34 of the 35 Operational Evolution Partnership airports and the rest of the NAS. This analysis considers such contributing factors as average daily arrival delay, deterministic queuing delay, weather patterns, aircraft equipment type, and others. The three-stage least-square method is used to regress the models and obtain coefficients for the multivariate equations. The outcomes are used to explain the interactions among airports in the NAS and to identify the major delay contributors at each.
Review of Research Problems in Construction, as Analysed Using Survey Studies

This paper is a review of the literature and focuses on recent studies in construction, specifically construction project engineering, in which surveys and/or interviews were used. This allowed an identification of current research trends in construction project engineering, essential and topical problems of contemporary construction, which were studied using surveys. Second, it was possible to demonstrate that surveys, despite often being used in the social sciences and finding rare use in the technical sciences, are nevertheless a highly effective tool that can be used to solve research problems in construction. They provide useful data that is then analysed, mostly using statistics, and the findings of such analyses and the conclusions that can be drawn from them support decision-makers in construction. The presented research problems that were solved using surveys are highly diverse and concern, among others: building information modelling (BIM), identifying adverse risk factors, design and execution errors, assessing a building’s technical condition, assessing comfort, satisfaction and the social aspect of construction, conflicts and disagreements, cooperation and trust, management, success factors, prefabrication, technologies, waste, green building, sustainable development, safety and cost. In summary, the review of research problems analysed using surveys, as presented, can act as proof that such methods are recognised by scholars all around the world and are used in practically all thematic fields that concern construction project engineering. Survey study methods are a source of valuable data, either independently or in combination with other methods, and supply precious information that can diagnose and aid forecasting phenomena and problems, controlling processes and supporting decision-makers in the difficult process of making decisions, and are often the basis for specific choices.
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment

Left ventricular remodeling is a mechanism common to various cardiovascular diseases affecting myocardial morphology. It can be often overlooked in clinical practice since the parameters routinely employed in the diagnostic process (e.g., the ejection fraction) mainly focus on evaluating volumetric aspects. Nevertheless, the integration of a quantitative assessment of structural modifications can be pivotal in the early individuation of this pathology. In this work, we propose an approach based on functional data analysis to evaluate myocardial contractility. A functional representation of ventricular shape is introduced, and functional principal component analysis and depth measures are used to discriminate healthy subjects from those affected by left ventricular hypertrophy. Our approach enables the integration of higher informative content compared to the traditional clinical parameters, allowing for a synthetic representation of morphological changes in the myocardium, which could be further explored and considered for future clinical practice implementation.
Sensor Noise and Ecological Interface Design: Effects on Operators' Control Performance

We studied the impact of sensor noise on operators' control performance using an Ecological Interface Design (EID) display with a representative thermal-hydraulic process simulation. A number of studies have shown that EID improves the performance of operators. However, no studies have assessed the effects of the presence and magnitude of sensor noise on interfaces based on EID. We hypothesized that as the magnitude of sensor noise would increase, performance would worsen for both EID and non-EID operators, although performance of the EID group would not be worse than that of the non-EID group. Our results show that EID participants performed significantly better than non-EID participants when dealing with industry representative sensor noise. When the magnitude of sensor noise was randomly increased, no differences were observed between the two groups. These results have important consequences for the applicability of the EID framework in industrial settings.
Thermal performance of ETICS, energy activated with PCM and PV

Installing photo-voltaic (PV) panels on building façades is a growing tendency that helps to achieve both newly built and renovated nearly zero energy buildings. A novel approach to building active facades is to use a phase change material (PCM) behind the flexible PV. The PCM stabilises the PV’s temperature which can lead to an increase in energy production and cuts down the temperature peaks to avoid damage. In this study, the thermal performance of an En-ActivETICS wall was modelled in three different locations across Europe. The model was validated against on-site temperature measurements. The efficiency of the PV was calculated and an optimal PCM thickness and melting temperature were selected. The results show that annual energy production of the PV panel could increase between 2% (in Lodz) to 5% (in Madrid) using a 40mm-thick PCM. The optimal PCM melting temperatures for a certain climate should be chosen as 0 to 10 degrees below maximum air temperature in summer. The maximum peak PV temperatures could be reduced by ca. 20 K (from ∼90 to ∼70°C). Reasonable way to fix the stainless steel casing to the wall would be with four stainless steel anchor bolts – that gives 78% or 93% efficiency in case of EPS or PIR thermal insulation, respectively.
Microcontroller Based Portable Incubator Monitoring Tool with Short Message Service (SMS) notifications

The aim of this research was applied a microcontroller, temperature sensor, weight sensor, heart rate sensor and GSM module to monitoring and notification of the condition of premature babies in portable incubators. The hardware used consists of a DS18B20 sensor, Load Cell, Pulse Heart Rate Sensor, Buzzer, LCD and SIM800L Module. The results showed the Pulse sensor and DS18B20 sensor could measure and detect the baby’s heart rate and baby temperature. The result was on the LCD with an average error of 4.354% for heartrate and 1.437% for temperature. The loadcell sensor can detect weight with an error of 2.16%. The duration of sending SMS to Smartphone is 8s for each delivery. SMS was sent if the baby weak and critical condition.
Comparison of Masonry Homogenization Methods – Macromodelling and Micromodeling of Walls Behaviour Made of Autoclaved Aerated Concrete Masonry Units

The adopted method of empirical homogenization strictly determines the degree of faithful reproduction of the masonry structure's work in terms of the analysis of cracking forces, destructive forces, and the mechanism of structure destruction. The high level of detail of the numerical model may make it impossible to perform calculations and predict internal forces for larger structures or entire buildings. The study aims to compare two different masonry homogenization techniques and determine the advantages and disadvantages of the adopted methods. The concept of a micromodel, in which the contact of two materials - a masonry unit and a mortar, was simulated using contact elements in the interface planes and a macromodel in which the wall was modelled as a homogeneous, isotropic material, omitting contact surfaces. The analysis subjects were standard wall models made of autoclaved aerated concrete (AAC) masonry units in axial and diagonal compression tests. In the numerical calculations, the elasto-plastic model with degradation implemented. The Menetrey William boundary surface describes the compression phase, and the Rankine criterion determines the tensile phase. In the axially compressed walls, the relations of forces and vertical and horizontal deformations compared, and in the shear walls, the forces and values of strain angles analyzed. In both models, the mechanisms of wall destruction and scratching were considered. The initial parameters of the elasto-plastic model derived from the results of wall tests using various model validation techniques. The calibration coefficient was used in the micromodel, determined as the quotient of the wall's compressive strength and masonry unit's compressive strength. The fracture energy value was also corrected. In the macromodel, the masonry's modulus of elasticity and the tensile strength value calibrated. Calculations based on the micromodel were consistent with the test results at the relative error level of 2%. The observed damage and scratches to the walls after the tests were consistent with the numerical projection. The macromodel calculations showed the convergence of the results in scratch morphology, scratching and destructive forces. The most significant differences occurred in shear deformations. The macromodelling approach allowed for capturing the wall's global tendency to deteriorate without opening the contact surfaces locally (cohesive cracks), as is the case during the tests.
Adversarial Erasing method based on graph neural network

Semantic segmentation is a traditional task that requires a large number of pixel-level ground truth label data sets, which is time-consuming and expensive. Recent developments in weakly-supervised settings have shown that reasonable performance can be obtained using only image-level labels. Classification is often used as an agent task to train deep neural networks and extract attention maps from them. The classification task only needs less supervision information to obtain the most discriminative part of the object. For this purpose, we propose a new end-to-end counter-wipe network. Compared with the baseline network, we propose a method to apply the graph neural network to obtain the first CAM. It is proposed to train the joint loss function to avoid the network weight sharing and cause the network to fall into a saddle point. Our experiments on the Pascal VOC2012 dataset show that 64.9% segmentation performance is obtained, which is an improvement of 2.1% compared to our baseline.
Influence of Changes in Level on Passenger Route Choice in Railway Stations

In assessing the design of a public transfer station, it is important to be able to predict the routes taken by passengers. Most simulation tools use simple route choice models that take into account only the shortest walking distance or walking time between a passenger's origin and destination. To improve this type of route choice model, other factors affecting passenger route choice need to be identified. Also, the way these factors influence route choice behavior needs to be determined to indicate how each factor is valued. In this research, route choice data have been collected in two Dutch train stations by following passengers through the facility from their origins to their destinations. These data have been used to estimate extended route choice models. The focus is on the influences of level changes in walking routes on passenger route choice behavior. It appears that ways of bridging level changes (ramps, stairs, escalators) each have a significant and different impact on the attractiveness of a route to a traveler.
Effective method for creating engineering checklists

This paper presents the results of an empirical study of a project whose aim was to develop a driveline for commercial vehicle applications containing a totally new mechatronic sub-system with a significant amount of new functions and interfaces. The purpose of the empirical study was to identify areas where explicit knowledge management efforts are needed in the development process of a mechatronic systems integrator. The results show that the management of knowledge related to component/system interfaces is not addressed neither in the state of practice nor the state of the art. Based on these findings, the method of engineering checklists to manage interface-related knowledge was found suitable. Methods on how to implement engineering checklists however are largely lacking and the main contribution of this paper is a method dedicated to creating engineering checklists from a knowledge management perspective. The evaluation of the developed method indicates a high level of both usefulness and usability of the method in the processes of the studied company along with potential improvement mainly regarding the instructions for the application of the method.
Effect of competitive acoustic environments on speech intelligibility

Excessive noise and reverberation times degrade listening abilities in everyday life environments. This is particularly true for school settings. Most classrooms in Italy are settled in historical buildings that generate competitive acoustic environments. So far, few studies investigated the effect of real acoustics on speech intelligibility and on the spatial release from masking, focusing more on laboratory conditions. Also, the effect of noise on speech intelligibility was widely investigated considering its energetic rather than its informational content. Therefore, a study involving normal hearing adults was performed presenting listening tests via headphone and considering the competitive real acoustics of two primary-school classrooms with reverberation time of 0.4 s and 3.1 s, respectively. The main objective was the investigation of the effect of reverberation and noise on the spatial release from masking to help the design of learning environments. Binaural room impulse responses were acquired, with noise sources at different azimuths from the listener’s head. The spatial release from masking was significantly affected by noise type and reverberation. Longer reverberation times brought to worst speech intelligibility, with speech recognition thresholds higher by 6 dB on average. Noise with an informational content was detrimental by 7 dB with respect to an energetic noise.
An EMI radiation grouping approach based on spectral cluster in near filed scanning for assessment

With the ever-increasing operating frequency in integrated circuit, it is very essentialto assess the radiation used to help the IC designer. Based on the similarity of electromagnetic patterns obtained from the radiation of ICs and their nonlinear edge, we develop a post-processing technique to group the electromagnetic patterns. A near field scanning is performed to obtain and extract the electromagnetic pattern that is used to validate the technique. Experiment results show that it can accurately group the electromagnetic patterns by which radiation assessment can be performed.
High-Power Density Design of a Soft-Switching High-Power Bidirectional DC-DC Converter

A typical non-isolated bi-directional dc-dc converter technology is to combine a buck converter and a boost converter in a half-bridge configuration. In order to have high-power density, the converter can be designed to operate in discontinuous conducting mode (DCM) such that the passive inductor can be minimized. The DCM associated current ripple can be alleviated by multiphase interleaved operation. However DCM operation tends to increase turn-off loss because of a high peak current and its associated parasitic ringing due to the oscillation between the inductor and the device output capacitance. Thus the efficiency is suffered with the conventional DCM operation. Although to reduce the turn-off loss, a lossless capacitor snubber can be added across the switch, the energy stored in the capacitor needs to be discharged before device is turned on in order to realize zero-voltage switching. This paper adopts a gate signal complimentary control scheme to turn on the non-active switch and divert the current into the anti-paralleled diode of the active switch so that the main switch can turn on under zero-voltage condition. Thus both soft switching turn-on and turn-off are achieved. This diverted current also eliminates the parasitic ringing in inductor current. For capacitor value selection, there is a trade-off between turn-on and turn-off losses. This paper suggests the optimization of capacitance selection through a series of hardware experiments to ensure the overall power loss minimization under complimentary DCM operating condition. A 100kW hardware prototype is constructed and tested. The experimental results are provided to verify the proposed design approach.
Using New Generation Collaboration & Social Computing Technologies in Managing Virtual Teams: An Exploratory Study into Enablers and Barriers in a Multicultural Context

Purpose - To explore the various enablers and barriers of collaborative technologies in virtual teams through literature reviews and participant interviews and to develop findings with considerations to organizations embarking on similar initiatives. Design/methodology/approach - A constructivist methodology. One-to-one interviews with participants from researcher's organization: a cross-section of senior managers and team members with either previous or current virtual team experience. Thematic analysis has been used to draw out the themes in the interview transcripts, and to develop interpretations and connections to the literature. Findings - There is a great consensus among participants towards the importance of collaboration in virtual teaming and the need for proper planning and uptake. However caution is necessary for organizations embarking on these ventures as there are various barriers that need consideration. There are many aspects that organizations venturing into virtual team initiatives need to consider. These include various integration aspects of technologies, people & processes, choosing technologies that work together well, various people aspects associated with virtual team collaboration initiatives and establishing the virtual team culture as part of the overarching organization & group culture. Research limitations/implications - Small sample sizes make it hard to generalize. Further research could include larger sample sets, surveys of various types of teams affected, the individual collaboration technologies, social computing interdependencies, specific Enterprise 2.0 technology suites etc. Originality/value - Contributes a small body of research on the experience of managers and team members on collaborative technologies and virtual teaming. Provides the only such research in the banking sector and in the New Zealand marketplace, and contributes a set of findings & considerations to organizations embarking on similar initiatives.
Intraocular Pressure Reduction and Complications Profile of Trabeculectomy with 5 Fluorouracil Versus Phaco-trabeculectomy with 5 Fluorouracil in Nigerian Glaucoma Patients

Aims: To evaluate the surgical outcome of combined phacoemulsification cataract surgery plus posterior chamber intraocular and trabeculectomy with adjunctive 5-Fluorouracil versus trabeculectomy with 5-Fluorouracil in the management of Primary open angle glaucoma. Study Design: it was retrospective comparative interventional study Place and Duration of Study: Glaucoma Unit, Eye foundation Hospital Ikeja, Lagos, Nigeria between January 2015, and December 2017 Materials and Methods: A retrospective review of consecutive 29 eyes (29 patients) who had trabeculectomy with 5-Fluorouracil compared with 26 eyes (26 patients) who had combined phacotrabeculectomy with 5-Fluorouracil from 2015 to 2017. All patients had a minimum follow up of 3 months. Results: The mean age of 54.48±14.42 years in Trabeculectomy group was significantly (p>0.001) lower than 70.76±7.22 years for the Phacotrabeculectomy group. The mean preoperative intraocular pressure (IOP) and number of glaucoma medication were similar for the two groups (19.86±9.63mmHg versus 22.23±8.99mmHg; 2.66±1.20 versus 2.73±0.72 medication, trabeculectomy versus phacotrabeculectomy respectively). The postoperative IOP and glaucoma medication after a mean follow up period of 17.11±9.81 months was not significantly different between the two groups (11.55±2.71mmHg versus 12.31±4.33mmHg, p=0.436 for trabeculectomy versus phacotrabeculectomy respectively). Both groups significantly required fewer number of antiglaucoma medication at final follow-up (1.14±0.92 vs 1.46±1.10, trabeculectomy vs phacotrabeculectomy. In the trabeculectomy group, 25 (86.2%) had IOP of ≤15mmHg with or without topical antiglaucoma drops. In the phacotrabeculectomy, 21 (80.76%) had IOP of ≤15mmHg with or without topical antiglaucoma medication (Qualified success). On the other hand, 8 (27.58%) had IOP of ≤15mmHg without topical antiglaucoma medication at the end of the follow-up in the trabeculectomy (Complete success). In the phacotrabeculectomy group, 5 (19.23%) had final IOP of ≤15mmHg without topical antiglaucoma medication. Few complications occurred in both groups. Conclusion: Phacotrabeculectomy augmented with 5-Fluorouracil gave comparable surgical success to 5-Fluorouracil augmented trabeculectomy alone.