Miracle-dz/UniFAR-FTUs huggingface dataset:
Publisher ’ s Note : Eya 1 controls cell polarity , spindle orientation , cell fate and Notch signaling in distal embryonic lung epithelium by

Publisher's Note: Eya1 controls cell polarity, spindle orientation, cell fate and Notch signaling in distal embryonic lung epithelium by El-Hashash et al. Development This Publisher's Note relates to the article 'Eya1 controls cell polarity, spindle orientation, cell fate and Notch signaling in distal embryonic lung epithelium' by El-Hashash et al. (doi:10.1242/dev.058479). We have recently been made aware that several of the panels in Fig. 7 of this article may also appear in a paper from some of the same authors published in Developmental Biology (El-Hashash et al., 2011). We have contacted the authors to alert them to this alleged duplication to enable them to conduct further investigation. We are publishing this Note to inform readers of this situation. This course of action follows the advice set out by COPE (The Committee on Publication Ethics), of which Development is a member. INTRODUCTION The correct functioning of lung epithelium is essential to life. Mammalian lung development begins when two primary buds consisting of an inner epithelial layer surrounded by mesenchyme, arise from the laryngotracheal groove in the ventral foregut. These buds undergo stereotypic rounds of branching and outgrowth to give rise to a tree-like respiratory organ, which contains different specialized epithelial cell types organized along the proximodistal In order to function effectively, the alveolar surface must form a selectively permeable monolayer where cell-cell contact provides important spatial cues that are required to generate cell polarity/communications (Nelson, 2003a; Nelson, 2003b; Boitano et al., 2004). Cell polarity, the asymmetry in distribution of cellular constituents within a single cell, is fundamental to cellular functions and essential for generating cell diversity. Epithelial cells have a characteristic apicobasal polarity, which is necessary for their function as barriers between different extracellular environments (Drubin and Nelson, 1996; Mostov et al., 2000). In epithelial cells, the axis of polarity that will determine the
Journal of Immune Based Therapies and Vaccines Tumor–associated Antigens Identified by Mrna Expression Profiling as Tumor Rejection Epitopes Tumor Associated Antigensmrna Microassaypeptide P53vaccination

Thirteen H-2 b-binding peptides derived from six potentially overexpressed proteins in p53-/-thymoma (SM7) cells were studied for immunogenecity and vaccine-induced prevention of tumor growth in mice inoculated with SM7 tumor cells. Six of the peptides generated specific CTL responses after immunization, but only two of these peptides (RAD 23–31 and RAD 24–31) were capable of generating a weak vaccination-induced protection against adoptive tumor growth. SM7 inoculated mice treated with a blocking antibody against the inhibitory T cell signal transducing molecule CTLA4 appeared to delay tumor take, suggesting that SM7 thymoma cells are recognized by the adaptive immune system of the host. However, prophylactic vaccination with RAD 23–31 and RAD 24–31 peptides combined with anti-CTLA4 Ab treatment and did not improve tumor resistance. Our data would indicate that vaccination with immunogenic peptides derived from potentially overexpressed tumor proteins, as identified by mRNA expression profiling of p53-/-thymoma cells, at best results in a weak tumor protection thus questioning this way of detection of new tumor rejection epitopes.
STRATEGIES AND CHALLENGES OF PUBLIC RELATIONS MANAGEMENT IN FACING THE ERA OF SOCIETY 5.0

This research aims to analyze improving public relations strategies in facing challenges in the era of society 5.0. This research uses qualitative descriptive analysis with a case study approach. The research was conducted at Madrasah Ibtidaiyah Islamiyah Kertosono Gading Probolinggo. Data collection techniques were carried out using interviews, observation and documentation. The results of this research show that community involvement in carrying out school activities is carried out through routine activities and incidental activities. With several social media accounts, it makes it very easy for public relations to provide various information related to madrasas and also makes it easier for the public to access information. The media used include: WhatsApp, YouTube, Facebook, Instagram and website accounts. Not only using media, the strategies used in MI Islamiyah are planning, implementation, results and then continuous improvement.
Visual place recognition with CNNs: From global to partial

Visual place recognition is one of the most challenging problems in computer vision, due to the large diversities that real-world places can represent. Recently, visual place recognition has become a key part of loop closure detection and topological localization in long-term mobile robot autonomy. In this work, we build up a novel visual place recognition pipeline composed of a first filtering stage followed by a partial reranking process. In the filtering stage, image-wise features are utilized to find a small set of potential places. Afterwards, stable region-wise landmarks are extracted for more accurate matching in the partial reranking process. All global and partial image representations are derived from pre-trained Convolutional Neural Networks (CNNs), and the landmarks are extracted by object proposal techniques. Moreover, a new similarity measurement is provided by considering both spatial and scale distribution of landmarks. Compared with current methods only considering scale distribution, the presented similarity measurement can benefit recognition precision and robustness effectively. Experiments with varied viewpoints and environmental conditions demonstrate that the proposed method achieves superior performance against state-of-the-art methods.
PET Attenuation Correction Using Synthetic CT from Ultrashort Echo-Time MR Imaging

Integrated PET/MR systems are becoming increasingly popular in clinical and research applications. Quantitative PET reconstruction requires correction for γ-photon attenuations using an attenuation coefficient map (μ map) that is a measure of the electron density. One challenge of PET/MR, in contrast to PET/CT, lies in the accurate computation of μ maps. Unlike CT, MR imaging measures physical properties not directly related to electron density. Previous approaches have computed the attenuation coefficients using a segmentation of MR images or using deformable registration of atlas CT images to the space of the subject MR images. Methods: In this work, we propose a patch-based method to generate whole-head μ maps from ultrashort echo-time (UTE) MR imaging sequences. UTE images are preferred to other MR sequences because of the increased signal from bone. To generate a synthetic CT image, we use patches from a reference dataset, which consists of dual-echo UTE images and a coregistered CT scan from the same subject. Matching of patches between the reference and target images allows corresponding patches from the reference CT scan to be combined via a Bayesian framework. No registration or segmentation is required. Results: For evaluation, UTE, CT, and PET data acquired from 5 patients under an institutional review board–approved protocol were used. Another patient (with UTE and CT data only) was selected to be the reference to generate synthetic CT images for these 5 patients. PET reconstructions were attenuation-corrected using the original CT, our synthetic CT, Siemens Dixon-based μ maps, Siemens UTE-based μ maps, and deformable registration-based CT. Our synthetic CT–based PET reconstruction showed higher correlation (average ρ = 0.996, R2 = 0.991) to the original CT-based PET, as compared with the segmentation- and registration-based methods. Synthetic CT–based reconstruction had minimal bias (regression slope, 0.990), as compared with the segmentation-based methods (regression slope, 0.905). A peak signal-to-noise ratio of 35.98 dB in the reconstructed PET activity was observed, compared with 29.767, 29.34, and 27.43 dB for the Siemens Dixon-, UTE-, and registration-based μ maps. Conclusion: A patch-matching approach to synthesize CT images from dual-echo UTE images leads to significantly improved accuracy of PET reconstruction as compared with actual CT scans. The PET reconstruction is improved over segmentation- (Dixon and Siemens UTE) and registration-based methods, even in subjects with pathologic findings.
Performance Evaluation and Prediction for Legacy Information Systems

Database-centric information systems are critical to the operations of large organisations. In particular, they often process a large amount of data with stringent performance requirements. Currently, however, there is a lack of systematic approaches to evaluating and predicting their performance when they are subject to an exorbitant growth of workload. In this paper, we introduce such a systematic approach that combines benchmarking, production system monitoring, and performance modelling (BMM) to address this issue. The approach helps the performance analyst to understand the system's operating environment and quantify its performance characteristics under varying load conditions via monitoring and benchmarking. Based on such realistic measurements, modelling techniques are used to predict the system performance. Our experience of applying BMM to a real-world system demonstrates the capability of BMM in predicting the performance of existing and enhanced software architectures in planning for its capacity growth.
A Link Layer Solution to Location Identiﬁcation of Emergency VoIP Callers

Identifying the geographical location of a host on the Internet is a very challenging task. Due to a number of reasons, there is no direct mechanism that could enable this identification. Several approaches have been proposed to solve this problem but these have not proved to be suitable for some applications specially the critical VoIP calls. In this paper, we study this problem and propose the use of a MAC layer approach to solve this problem. We propose a solution based on LLDP-MED (Link Layer Discovery Protocol for Media Endpoint Devices) and compare it with LIS (Location Information Server). We discuss these two techniques in terms of network delay for two groups of users (wired line and wireless Internet users) for emergency cases and also discuss some other issues such as security and accuracy.
Energy Consumption Aware Delay Minimization for UAV Enabled Internet of Vehicle

Because of its adaptable nature and excellent maneuvering capabilities, the Unmanned Aerial Vehicle (UAV) can develop a potential solution for executing the Internet of Vehicles (IoV) applications. However, the limited battery capacity of the UAV devices imposes significant barriers to realtime task execution. Existing works are limited to either considering the executing tasks at the UAVs or Road Side Units (RSUs) without considering the collaborative relationship between them for minimizing service delay. In this work, we have presented an optimization framework for task execution of the Internet of Vehicles by exploiting Multi-Uav,Task Executing of Internet of Vehicle by exploiting Multi-UAV namely TEIMU, which minimizes the total average latency by considering energy consumption. The developed TEIMU framework is a combinatorial optimization problem that offloads the tasks by collaboration of RSUs and UAVs. According to the experimental findings, the developed system, TEIMU, surpasses state-of-the-art works in terms of overall average latency and energy usage by up to 10% and 25 %, respectively.
Implementation of the snowball throwing method in PAI subjects to improve student learning outcomes

Implementation of The Snowball Trowing Method In Subjects of Islamic Religious Education In Increasing Student Learning Outcomes. This study aims to (1) apply the snowball throwing learning model in Islamic Religious Education learning. (2) to determine student learning outcomes after applying the snowball throwing learning model, especially in learning Islamic Religious Education. (3) to improve student learning outcomes through the snowball rolling learning model. This research is expected to be useful for teachers, schools and future researchers. For teachers, hopefully the results of this research can improve their teaching skills, especially in terms of innovative learning models. The methodology in this research is field research obtained through classrooms or what is called classroom action research (CAR). This research method uses two cycles. The first cycle consists of the planning stage (planning), the implementation action stage (action), the observation stage (observation), and the reflection stage. At the reflection stage of the first cycle, student learning outcomes were analyzed to correct deficiencies, then continued in the second cycle. The results showed that the learning outcomes of Class IV after using the Snowball Throwing model were higher than those who did not use it
Design and Development of a Pose-Based Command Language for Triage Training in Virtual Reality

Triage is a medical term that describes the process of prioritizing and delivering care to multiple casualties within a short time frame. Because of the inherent limitations of traditional methods of teaching triage, such as paper-based scenarios and the use of actors as standardized patients, computer-based simulations and virtual reality (VR) scenarios are being advocated. We present our system for VR triage, focusing on design and development of a pose and gesture based interface that allows a learner to navigate in a virtual space among multiple simulated casualties. The learner is also able to manipulate virtual instruments effectively in order to complete required training tasks
Low density parity check codes: construction based on finite geometries

Low density parity check (LDPC) codes with iterative decoding based on belief propagation (IDBP) achieve astonishing error performance close to the Shannon limit. Until now there has been no known method for constructing these Shannon limit approaching codes systematically. Good LDPC codes are largely generated by computer search. As a result, the encoding of long LDPC codes is in general very complex. This paper presents the first algebraic method for constructing LDPC codes systematically based on finite analytic geometries. Four classes of finite geometry LDPC codes with relatively good minimum distances are constructed. These codes are either cyclic or quasi-cyclic and therefore their encoding can be implemented with simple linear feedback shift registers. Long finite geometry LDPC codes have been constructed and they achieve an error performance only a few tenths of a dB away from the Shannon limit. Finite geometry LDPC codes are strong competitors to turbo codes for error control in communication and digital data storage systems.
On Quasi-Products of Tree Automata

In this paper we introduce the concept of the quasi-product of tree automata. In a quasi-product the inputs of the component tree automata are operational symbols in which permutation and unification of variables are allowed. It is shown that in sets of tree automata which are homomorphically complete with respect to the quasiproduct the essentially unary operations play the basic role among all operations with nonzero ranks. Furthermore, we give a characterization of homomorphically complete sets which is similar to the classical one.
Shared decision making in Swedish community mental health services – an evaluation of three self-reporting instruments

Abstract Background: Despite the potential impact of shared decision making on users satisfaction with care and quality in health care decisions, there is a lack of knowledge and skills regarding how to work with shared decision making among health care providers. Aim: The aim of this study was to evaluate the psychometric properties of three instruments that measure varied dimensions of shared decision making, based on self-reports by clients, in a Swedish community mental health context. Method: The study sample consisted of 121 clients with experience of community mental health care, and involved in a wide range of decisions regarding both social support and treatment. The questionnaires were examined for face and content validity, internal consistency, test-retest reliability and construct validity. Results: The instruments displayed good face and content validity, satisfactory internal consistency and a moderate to good level of stability in test-retest reliability with fair to moderate construct correlations, in a sample of clients with serious mental illness and experience of community mental health services in Sweden. Conclusions: The questionnaires are considered to be relevant to the decision making process, user-friendly and appropriate in a Swedish community mental health care context. They functioned well in settings where non-medical decisions, regarding social and support services, are the primary focus. The use of instruments that measure various dimensions of the self-reported experience of clients, can be a key factor in developing knowledge of how best to implement shared decision making in mental health services.
Appearance-based landmark selection for efficient long-term visual localization

In this paper, we present an online landmark selection method for distributed long-term visual localization systems in bandwidth-constrained environments. Sharing a common map for online localization provides a fleet of autonomous vehicles with the possibility to maintain and access a consistent map source, and therefore reduce redundancy while increasing efficiency. However, connectivity over a mobile network imposes strict bandwidth constraints and thus the need to minimize the amount of exchanged data. The wide range of varying appearance conditions encountered during long-term visual localization offers the potential to reduce data usage by extracting only those visual cues which are relevant at the given time. Motivated by this, we propose an unsupervised method of adaptively selecting landmarks according to how likely these landmarks are to be observable under the prevailing appearance condition. The ranking function this selection is based upon exploits landmark co-observability statistics collected in past traversals through the mapped area. Evaluation is performed over different outdoor environments, large time-scales and varying appearance conditions, including the extreme transition from day-time to night-time, demonstrating that with our appearance-dependent selection method, we can significantly reduce the amount of landmarks used for localization while maintaining or even improving the localization performance.
Experiment and Analysis of Electrical Contact Characteristics of Sliding Contacts in GIS Under Multi-Factor Coupling

The safety and reliability of the electrical connection structure is crucial for the operational stability of GIS equipment. This paper independently developed a multi-factor deterioration analysis test system for electric, thermal and force factors on the contact finger. The relationship between the contact resistance(ECR) of the ML-CUX strap contact finger and the contact pressure, current load, and electrode material was investigated. The temperature variation characteristics of ECR were analyzed under two conditions: fixed deformation and fixed pressure. The findings of this research can serve as a valuable reference for enhancing the reliability of GIS electrical connection structures.
Evaluation of the Performance of Preservation Methods in the Detection of Schistosoma Haematobium Ova in Urine Samples

The quality of formalin, boric acid, domestic bleach and carbol fuchsin were investigated as preservatives of Schistosoma haematobium ova for three weeks. Urine specimens obtained from patients included in a survey conducted in the Maio area in Khartoum the urine specimen was divided into 4 aliquots within 12h of the collection into the four preservatives mentioned above and were processed after one week, two week and three week of wet preparation of 14 positive specimens (a total of 217 processed samples) after concentration by centrifugation. We found that all fixatives give good morphological characteristics for S. Haematobium with some morphological changes, and crystal formation with formalin, boric acid and domestic bleach which appear after the first week. Formalin is aldehyde base fixative, domestic bleach is oxidizing agents based fixative, both have action of cross linking in preservation of samples which may cause these morphological changes. Carbol fuchsin gave the same morphological appearance during the three weeks. According to this result, we conclude that non-cross linking alcohol based fixatives such as carbol fuchsin gave good preservation for the morphology of S. Haematobium ova as the morphological characters did not change during preservation time.
Exploring the Role of Islamic FinTech Innovation Trialability and Compatibility in Enhancing Islamic Financial Inclusion: A Data-driven Approach

The promotion of Islamic financial inclusion (IFI) is a challenge for Islamic banking industry in Pakistan. Although, Islamic banks are trying to enhance IFI, however, a satisfactory level is not achieved. Therefore, the objective of this study is to examine the role of trialability and compatibility in enhancing IFI. A questionnaire survey was preferred in this study to collected data from clients of Islamic banks in Punjab, Pakistan. 317 valid questionnaires were received and used to obtain findings. Structural Equation Modeling (SEM) was used through Smart PLS to test the study hypotheses. Findings of the study identified that trialability and compatibility has a positive role to promote IFI. Furthermore, compatibility has a positive effect on IFI, however, trialability does not influence IFI directly, it has indirect effect through Islamic FinTech adoption (IFA). Findings of the study provided various important insights for the policymakers to promote IFI.
A Highly Parameterized and Efficient FPGA-Based Skeleton for Pairwise Biological Sequence Alignment

This paper presents the design and implementation of the most parameterisable field-programmable gate array (FPGA)-based skeleton for pairwise biological sequence alignment reported in the literature. The skeleton is parameterised in terms of the sequence symbol type, i.e., DNA, RNA, or protein sequences, the sequence lengths, the match score, i.e., the score attributed to a symbol match, mismatch or gap, and the matching task, i.e., the algorithm used to match sequences, which includes global alignment, local alignment, and overlapped matching. Instances of the skeleton implement the Smith-Waterman and the Needleman-Wunsch algorithms. The skeleton has the advantage of being captured in the Handel-C language, which makes it FPGA platform-independent. Hence, the same code could be ported across a variety of FPGA families. It implements the sequence alignment algorithm in hand using a pipeline of basic processing elements, which are tailored to the algorithm parameters. This paper presents a number of optimizations built into the skeleton and applied at compile-time depending on the user-supplied parameters. These result in high performance FPGA implementations tailored to the algorithm in hand. For instance, actual hardware implementations of the Smith-Waterman algorithm for Protein sequence alignment achieve speedups of two orders of magnitude compared to equivalent standard desktop software implementations.