Miracle-dz/UniFAR-FTUs huggingface dataset:
DNA repair protein complexes, functionality and significance for repair efficiency and cell survival

Numerous proteins, many essential for the DNA replication machinery, interact with proliferating cell nuclear antigen (PCNA) through the PCNA-interacting peptide (PIP) sequence called the PIP box. We have previously shown that the oxidative demethylase human AlkB homologue 2 (hABH2) colocalizes with PCNA in replication foci. In this study, we show that hABH2 interacts with a posttranslationally modified PCNA via a novel PCNA-interacting motif, which we term AlkB homologue 2 PCNA-interacting motif (APIM). We identify APIM in >200 other proteins involved in DNA maintenance, transcription, and cell cycle regulation, and verify a functional APIM in five of these. Expression of an APIM peptide increases the cellular sensitivity to several cytostatic agents not accounted for by perturbing only the hABH2-PCNA interaction. Thus, APIM is likely to mediate PCNA binding in many proteins involved in DNA repair and cell cycle control during genotoxic stress.
Central Similarity Quantization for Efficient Image and Video Retrieval

Existing data-dependent hashing methods usually learn hash functions from pairwise or triplet data relationships, which only capture the data similarity locally, and often suffer from low learning efficiency and low collision rate. In this work, we propose a new \emph{global} similarity metric, termed as \emph{central similarity}, with which the hash codes of similar data pairs are encouraged to approach a common center and those for dissimilar pairs to converge to different centers, to improve hash learning efficiency and retrieval accuracy. We principally formulate the computation of the proposed central similarity metric by introducing a new concept, i.e., \emph{hash center} that refers to a set of data points scattered in the Hamming space with a sufficient mutual distance between each other. We then provide an efficient method to construct well separated hash centers by leveraging the Hadamard matrix and Bernoulli distributions. Finally, we propose the Central Similarity Quantization (CSQ) that optimizes the central similarity between data points w.r. t. \ their hash centers instead of optimizing the local similarity. CSQ is generic and applicable to both image and video hashing scenarios. Extensive experiments on large-scale image and video retrieval tasks demonstrate that CSQ can generate cohesive hash codes for similar data pairs and dispersed hash codes for dissimilar pairs, achieving a noticeable boost in retrieval performance, i.e. 3\%-20\% in mAP over the previous state-of-the-arts.
Childhood Domestic Violence as an Ancestor for Adulthood Mental Health Problems: Experiences of Jordanian Women

This study was conducted to explore the relationship between women’s history of experiencing different types of abuse during childhood and development of mental health problems in adulthood. A convenience sample of 409 women recruited from health care centers in Jordan provided data for the study. One-way between-groups multivariate analysis of variance was implemented. Results indicated absence of statistically significant differences in mental health problems between physically abused and sexually abused women compared to their counterparts. Further, a statistically significant difference in mental health was found between women who experienced emotional abuse and childhood neglect compared to their counterparts (Wilks’ lambda for emotional abuse = .914, p < .0001; Wilks’ lambda for childhood neglect = .83, p < .0001). Between-groups comparisons using Bonferroni adjustment indicated that all dependent variables (depression, anxiety, stress, and self-esteem) differed significantly between emotionally and nonemotionally abused women and between neglected and nonneglected women. It was concluded that not all childhood abuse experiences lead to long-term impacts on women’s mental health. However, mental health consequences of childhood abuse may alter women’s obligations toward family, children, and home. Therefore, efforts directed toward assessing women’s history of childhood abuse are very important especially for those who are starting a marital relationship.
The complete chloroplast genome of Catalpa ovata G. Don. (Bignoniaceae)

Abstract Catalpa ovata G. Don is a precious Catalpa tree known as a source of valuable timber and compounds for medicinal usage. In this study, we reported its complete chloroplast genome assembled from Illumina pair-end sequencing data. The completed plastome was 158,355 bp in length, including a large single copy (LSC) region of 85,007 bp, a small single copy (SSC) region of 12,676 bp, and a pair of inverted repeat (IR) regions of 30,336 bp. The overall GC content of the genome was 38.07%, and the corresponding values of the LSC, SSC and IR regions were 36.42%, 33.54%, and 41.33%, respectively. A total of 129 genes were annotated, including 83 protein-coding genes, 38 tRNA genes, and 8 rRNA genes. Phylogenetic analysis strongly supported that Tecomaria capensis was the most closely related species to C. ovata. The newly characterized complete chloroplast genome of C. ovata will provide essential data for further investigation of this precious species.
MTJ-LRB: Proposal of MTJ-Based Loop Replica Bitline as MRAM Device-Circuit Interaction for PVT-Robust Sensing

Magnetic tunnel junction is first integrated into Loop Replica Bit-Line for robust MRAM sensing. The replica bit-line with the replica bit-cells is used to generate sensing enable signal for bit-line delay tracking. As a realization of MTJ device and MRAM circuit interaction, a tunable MTJ-based loop structure with a group of replica cells is applied to control the timing of STT-MRAM, using optimal MTJ resistance at either parallel or anti-parallel state. The logic delay among the discharging groups is compensated for removing its impact on the target timing. The proposed MTJ-LRB structure was implemented with 28-nm CMOS process and 40nm<inline-formula> <tex-math notation="LaTeX">$\times 40$ </tex-math></inline-formula>nm spin-transfer-torque MTJ device, and evaluated in a <inline-formula> <tex-math notation="LaTeX">$512\times 512$ </tex-math></inline-formula> MRAM array. Simulation results show that the sensing latency variation can be reduced by 87.8% and 76.2% compared with the traditional inverter chains and a previous replica BL technique. The proposed MTJ-LRB achieves enhanced timing scheme and process-voltage-temperature tracking ability, which could be applied to future non-volatile memory design.
Development and Evaluation of a Multiplex Suspension Array Protocol for the Detection of Enteric Pathogens from Clinical Specimens

DEVELOPMENT AND EVALUATION OF A MULTIPLEX SUSPENSION ARRAY PROTOCOL FOR THE DETECTION OF ENTERIC PATHOGENS FROM CLINICAL SPECIMENS By Carol C. Walters, M.S. A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy at Virginia Commonwealth University. Virginia Commonwealth University, 2011 Major Director: Denise M. Toney, Ph.D., Commonwealth of Virginia, Division of Consolidated Laboratory Services Affiliate Faculty, Department of Microbiology and Immunology Foodborne illnesses are a significant public health challenge in the United States, with an estimated 9.4 million illnesses annually attributed to the consumption of contaminated food, of which 59% are estimated to be caused by viruses, 39% by bacteria and 2% by parasites. Timely detection and identification of the pathogens causing foodborne outbreaks is vital for the implementation of outbreak control strategies, allowing public health officials to prevent additional illnesses and maintain confidence in the food supply. Public health laboratories employ a variety of traditional and molecular testing techniques to identify foodborne outbreak etiologic agents. One technology is the Luminex XMap® microsphere system, which is also marketed as the Bio-PlexTM 200. This platform has a multiplexing capability with the potential to simultaneously detect up to 100 targets in one reaction. The studies described here show that the combination of two Bio-Plex assays with real-time virus assays and one extraction method provides a flexible foodborne outbreak screening algorithm that potentially identifies an outbreak-associated pathogen on the first day of specimen submission and aids in focusing confirmatory laboratory testing. In these studies, two microsphere-based assays were designed for use on the Bio-Plex 200 system as screening assays for the detection of four enteric protozoa (Giardia intestinalis, Cyclospora cayetanensis, Cryptosporidium parvum, Entamoeba histolytica) and six virulence determinants of shiga toxin-producing Escherichia coli (STEC), enterotoxigenic Escherichia coli (ETEC), enteroinvasive Escherichia coli (EIEC) and Shigella spp. Precision and limits of detections were established for both assays. The sensitivity and specificity of the protozoan assay as compared to reference methods ranged from 81.25% to 100% for most targets, while sensitivity for the E. histolytica target was 42.86%. Sensitivity and specificity for the bacterial assay was 100% as compared to reference methods. However, crossreactivity of the protozoan assay E. histolytica target with E. dispar and of the bacterial assay uidA target with enteropathogenic E. coli strains was noted. Additionally, real-time detection of norovirus and rotavirus nucleic acids extracted with the QIAamp DNA Stool Mini Kit was statistically comparable to detection when extracted with the Ambion® MagMAXTM-96 Viral RNA Isolation Kit combined with the KingFisher® Magnetic Particle Processor.
SOX2OT Long Noncoding RNA Is Regulated by the UPR in Oestrogen Receptor-Positive Breast Cancer

Endoplasmic reticulum (ENR) stress perturbs cell homeostasis and induces the unfolded protein response (UPR). In breast cancer, this process is activated by oestrogen deprivation and is associated with tamoxifen resistance. We present evidence that the transcription factor SOX2 and the long noncoding RNA SOX2 overlapping transcript (SOX2OT) are upregulated in oestrogen receptor-positive (ER+) breast cancer and in response to oestrogen deprivation. We examined the effect of the UPR on SOX2 and SOX2OT expression and the effect of SOX2OT on UPR pathways in breast cancer cell lines. The induction of the UPR by thapsigargin or glucose deprivation upregulates SOX2OT expression. This upregulation is also shown with the anti-oestrogen 4OH-tamoxifen and mTOR inhibitor everolimus in ER + breast cancer cells that are sensitive to oestrogen deprivation or everolimus treatment. SOX2OT overexpression decreased BiP and PERK expression. This effect of SOX2OT overexpression was confirmed on BiP and PERK pathway by q-PCR. Our results show that a long noncoding RNA regulates the UPR and evince a new function of SOX2OT as a participant of ENR stress reprogramming of breast cancer cells.
Using chaîne opératoire and communities of practice to identify interaction in the Contact and Mission periods in southern Georgia, AD 1540–1715

ABSTRACT In this article, the pottery production of indigenous groups living inside and outside of colonial spaces in southern Georgia is compared by identifying portions of the chaîne opératoire of pottery production. Diachronic and geographic changes to production demonstrate that groups living in the interior of Georgia were in continual interaction with coastal groups in the mission system. This interaction likely contributed to the emergence of the Altamaha pottery tradition, which spread from southern South Carolina to northern Florida during Spanish colonization of the region. This research shows that Native American groups navigating colonialism drew on a wide network of communities to alter traditions in the face of unprecedented social change.
Evaluation technology of high energy laser atmospheric propagation performance

The actual effect of laser propagation in the atmosphere is not only related to its own propagation mechanism, but also closely related to atmospheric factors. Therefore, to accurately evaluate the effect of laser atmospheric propagation, it is not only necessary to carry out the mechanism research and establish the mathematical model of laser atmosoheric propagation, but also mecessary to carry out measurement, analysis and prediction of the optical characteristics of the atmosphere in the propagating process. Considering the complexity of the real atmospheric environment and the interaction of many factors, most of the researches adopt the physical experiment or the numerical simulation with controlled parameters to quantitatively reveal the influence of various atmospheric factors on laser propagation. Based on a large number of field measurements and the physical correlation analysis, the research of atmospheric optical characteristics focuses on the parametric modeling of optical turbulence. The development of the performance evaluation technology for the high energy laser was briefly introduced when propagating in the atmosphere at home and aboard, and its development trend for the practical application of high energy laser system in the future was pointed out.
Variations of Mesospheric Neutral Winds and Tides Observed by a Meteor Radar Chain Over China During the 2013 Sudden Stratospheric Warming

The neutral winds in the mesospheric and lower thermospheric region obtained from a meteor radar chain within the latitudinal range of 18–53°N were decomposed to examine the latitudinal structures of the tides and mean winds during the sudden stratospheric warming (SSW) event in 2013. The zonal wind reversed from eastward to westward and the westward wind was larger at middle latitudes than that at low latitudes during the SSW. Meanwhile, a sharp increase in the northward wind was noticeable at all stations. The amplitudes of the diurnal and semidiurnal tides decreased from 5 to 13 January and increased subsequently. At the same time, the terdiurnal tides increased in amplitude, especially at Beijing, Wuhan, and Kunming, in response to the SSW. Moreover, the tidal phases showed a large shift that corresponded to a great increase in tidal wavelengths in the semidiurnal and terdiurnal components. The wavelet analysis further revealed that the quasi 6‐day wave oscillations dominated in the winds at Kunming and Sanya stations, as well as the quasi 16‐day wave dominated in the zonal wind, and the quasi 11‐day and 16‐day waves were prevailing in the meridional winds at Beijing and Wuhan. In the same vein, the quasi 16‐day and quasi 11‐day waves were prominent in the zonal and meridional winds during 1–18 January at Mohe. Therefore, the tide‐planetary wave interactions played a significant role in modulating the behaviors of the mesospheric and lower thermospheric dynamics during the SSW event.
The influence of family ownership on acquisition activity: The moderating role of acquisition experience

ABSTRACT We investigated how heterogeneity in family ownership influences on the frequency of acquisitions in a sample of 1,096 publicly traded manufacturing companies from the Asia Pacific region in the period 2009–2016. We found that the level of family ownership decreases the activity consisting in engaging in acquisitions. Moreover, the negative influence of family ownership on acquisition frequency becomes less important when the firm has been involved in prior acquisitions. We drew on the mixed gamble approach to better understand acquisition decisions in family firms.
Fine-Grained Bit-Flipping Decoding for LDPC Codes

This brief presents a novel class of hard-decision algorithms for decoding low density parity check codes. The new algorithms, named fine-grained bit-flipping (FBF) algorithms, employ a detailed classification of each bit, by introducing the XOR value of its estimated and received value as a subdividing criterion. The fine-grained classification allows the algorithms to strengthen the information utilization during each iteration. Simulation results show that the FBF algorithms can achieve up to 5 times better decoding performance than the state-of-the-art bit-flipping algorithms over the binary symmetric channel. Additionally, a well-optimized hardware architecture is developed for implementing FBF algorithms. Compared to other decoders, implementation results demonstrate that the FBF decoders achieve higher throughput and area efficiency.
ARDEA—An MAV with skills for future planetary missions

We introduce a prototype flying platform for planetary exploration: autonomous robot design for extraterrestrial applications (ARDEA). Communication with unmanned missions beyond Earth orbit suffers from time delay, thus a key criterion for robotic exploration is a robot's ability to perform tasks without human intervention. For autonomous operation, all computations should be done on‐board and Global Navigation Satellite System (GNSS) should not be relied on for navigation purposes. Given these objectives ARDEA is equipped with two pairs of wide‐angle stereo cameras and an inertial measurement unit (IMU) for robust visual‐inertial navigation and time‐efficient, omni‐directional 3D mapping. The four cameras cover a 240∘ vertical field of view, enabling the system to operate in confined environments such as caves formed by lava tubes. The captured images are split into several pinhole cameras, which are used for simultaneously running visual odometries. The stereo output is used for simultaneous localization and mapping, 3D map generation and collision‐free motion planning. To operate the vehicle efficiently for a variety of missions, ARDEA's capabilities have been modularized into skills which can be assembled to fulfill a mission's objectives. These skills are defined generically so that they are independent of the robot configuration, making the approach suitable for different heterogeneous robotic teams. The diverse skill set also makes the micro aerial vehicle (MAV) useful for any task where autonomous exploration is needed. For example terrestrial search and rescue missions where visual navigation in GNSS‐denied indoor environments is crucial, such as partially collapsed man‐made structures like buildings or tunnels. We have demonstrated the robustness of our system in indoor and outdoor field tests.
Topology Identification for Power Systems via Compressive Sensing Based on Transient Dynamics

In this brief, we study topology identification with data from the transient dynamics of power systems. An improved sparsity adaptive matching pursuit algorithm based on compressive sensing is proposed to deal with the sparse topology recovery problem. The effect of algorithm parameters on the recovery performance is analyzed. The merits of our proposed algorithm are demonstrated in numerical simulations.
Social User Behavior Analysis of Purchasing Decisions in Instagram Online Store

The Instagram application is currently developing into a social commerce (s-commerce) in Indonesia, where many small and medium scale entrepreneurs use the application to sell their products. This study examines behaviors in individuals to the popular social networking site Instagram. The influence of social media behavior on purchasing decisions in e-commerce using the usefulness, perceived of use, social media behavior factors against intention to buy into the Technology Acceptance Model (TAM) model theory. The results showed that the TAM model had a significant effect on the consumer's intention to purchase the product through the Instagram (Intention to Buy).
Undrained cyclic simple shear simulation of liquefiable granular particles subjected to large shear strains up to 100% by 3D DEM

To clarify the influence of large shear strain on the cyclic behavior on liquefiable granular materials, a series of undrained cyclic simple shear simulations were carried out by utilizing 3D discrete element method (DEM). The amplitudes of the cyclic shear strain loaded on specimens range from 0.3% to 100%. The results show that when the cyclic shear strain loaded exceeds a certain amplitude, both the loose and the dense specimens exhibited high energy absorption properties, positive dilatancy characteristics, and non-liquefaction behaviors. This phenomenon might be caused by the uneven spatial distribution of particles during cyclic shear loadings. In addition, the liquefiable cyclic shear strain amplitude range is affected by the density and particle size of specimens.
Participatory variety selection and stability analysis of Durum wheat varieties (Triticum durum Desf.) in northwest Amhara

Abstract Durum wheat (Triticum turgidum L. var durum) is an indigenous predominant tetraploid wheat species in Ethiopia. Ten released durum wheat varieties were evaluated during 2016 and 2017 main cropping seasons at five districts representing various agro-ecologies of northwestern Ethiopia. The experiment was laid-out using Randomized Complete Block Design, replicated three times. Grain yield and protein contents (%) of entries were scored and the ANOVAs were performed for the traits under study. Additive Main effect and Multiplicative Interaction (AMMI) model was used to determine the stability of the genotypes across environments. Analysis of variance revealed a significant difference among the tested varieties for the grain yield in all tested locations. The AMMI analysis of variance of the grain yield showed that the presence of a highly significant difference among genotypes, environments and genotype–environment interaction with the contribution of 10%, 75.6% and 14.4% of the total sum of square variance, respectively. Genotypes Denbi, OBSA and Tate were identified as the most stable genotypes. Mukiye and Utuba recommend for Shebel Berenta; Filakit and TOLTU recommend for Debre; Elias and Mangudo recommended for Wonberema woreda.
PickPatch: A Regularization Method for Deep Face Recognition

This paper proposes a simple and efficient regularization method, called PickPatch, for face recognition based on a deep convolutional neural network (DCNN). The proposed method randomly selects patches in the input face image and the intermediate feature maps as the activation region according to facial landmarks during the training phase. PickPatch is an approximation method that trains a series of models for different face patches and provides a combined model. This strategy introduces the idea of model combination for multiple face patches but does not change the model structure, which is both simple and efficient. Experiments on the public LFW database demonstrate that the proposed regularization method based on current deep convolutional neural networks can achieve obvious improvements of face recognition accuracy.
Manual of Clinical Virology

Part 1 General laboratory procedures: laboratory design and equipment laboratory safety general methodologies virus testing protocols specimen collection and processing mammalian cell culture procedures quality assurance. Part 2 Specific detection methods: adenoviruses chlamydiae clostridium difficile toxin assay cytomegalovirus enteroviruses Epstein-Barr virus hepatitis A virus herpes simplex virus human herpesvirus 6 influenza virus measles virus mumps virus parainfluenza virus human papillomavirus polyomavirus human parvovirus respiratory syncytial virus human retroviruses rhinovirus rotavirus rubella virus varicella-zoster virus. Part 3 Appendices: glossary of commonly used terms reagent resources reagent formulations.