Miracle-dz/UniFAR-FTUs huggingface dataset:
Eliminate Deviation with Deviation for Data Augmentation and a General Multi-modal Data Learning Method

One of the challenges of computer vision is that it needs to adapt to color deviations in changeable environments. Therefore, minimizing the adverse effects of color deviation on the prediction is one of the main goals of vision task. Current solutions focus on using generative models to aug-ment training data to enhance the invariance of input variation. However, such methods often introduce new noise, which limits the gain from generated data. To this end, this paper proposes a strategy eliminate deviation with deviation, which is named Random Color Dropout (RCD). Our hypothesis is that if there are color deviation between the query image and the gallery image, the retrieval results of some examples will be better after ignoring the color information. Speciﬁcally, this strategy balances the weights between color features and color-independent features in the neural network by dropouting partial color information in the training data, so as to overcome the effect of color de-vitaion. The proposed RCD can be combined with various existing ReID models without changing the learning strategy, and can be applied to other computer vision ﬁelds, such as object detection. Experiments on several ReID baselines and three common large-scale datasets such as Market1501, DukeMTMC, and MSMT17 have veriﬁed the effectiveness of this method. Experiments on Cross-domain tests have shown that this strategy is signiﬁcant eliminating the domain gap. Furthermore, in order to understand the work-ing mechanism of RCD, we analyzed the effectiveness of this strategy from the perspective of classiﬁcation, which reveals that it may be better to utilize many instead of all of color information in visual tasks with strong domain variations.
The relationship between women with diabetes and their body: the risk of diabulimia

Objective: to understand the relationship that women with diabulimia have with the body. Method: a qualitative research, developed with the Thematic Oral History Method, with four women between 18 and 30 years of age who reported diabulimia. Results: women’s relationship with their bodies has been guided by the social pressure of female thinness that distorts self-image, generates dissatisfaction with the body and diminishes self-esteem. Weight loss is proportionally associated with increased social acceptance and justifies the use of harmful methods to health such as reducing the dose or suspending the use of insulin. The narrators showed to know the risks, but admitted to repeat it in certain contexts. Final considerations and implications for practice: the desire that women with Diabetes Mellitus have to lose weight needs to be incorporated into the strategies of care with the attention of health professionals to subjectivity, acting to recognize and prevent eating disorders in women with diabetes and minimize the adoption of actions harmful to health.
BCTT_A_266314 123..130

1Department of Pharmaceutical Chemistry, Faculty of Pharmacy, Obafemi Awolowo University, Ile-Ife, Nigeria; 2Institute of Biomedical and Pharmaceutical Sciences, Guangdong University of Technology, Guangzhou, People’s Republic of China; 3Department of Pathology and Biomedical Science; Carney Centre of Pharmacogenomics, University of Otago, Christchurch, New Zealand; 4Department of Surgery, Faculty of Clinical Sciences, College of Health Sciences, Obafemi Awolowo University, Ile-Ife, Nigeria Abstract: Estrogen-receptor positivity in tumour, often requiring long-term tamoxifen therapy, is thought to characterise between 43% and 65% of breast cancer cases in Nigeria. The patient population is further marked by late-stage diagnosis which significantly heightens the tendency for tumour relapse in the course of tamoxifen therapy. Despite tamoxifen being considered a reliable chemopreventive in high-risk individuals and an effective adjuvant therapy for hormone-sensitive tumours, mortality has remained high among breast cancer patients in the West African region where Nigeria belongs. The Nigerian breast cancer population, like other similar patient-populations in the West African region, provides a mix of intrinsic genome-diversity and perhaps unique tumour biology and evolution. These peculiarities suggest the need for a rational approach to tumour management and a personalised delivery of therapy in Nigeria’s dominant estrogen-receptorpositive patient population. Herein, critical indices of tamoxifen-therapy success are discussed in the context of the Nigerian breast cancer population with emphasis on salient aspects of tamoxifen-biotransformation, hostand tumour-genomics, and epigenetics.
Nutrient Availability and Phage Exposure Alter the Quorum-Sensing and CRISPR-Cas-Controlled Population Dynamics of Pseudomonas aeruginosa

The increase in antimicrobial resistance has created the need for alternative interventions such as phage therapy. However, as previously observed with antimicrobial resistance, phage therapy will not be effective if bacteria evolve resistance and persist in the presence of the phages. ABSTRACT Quorum sensing (QS) coordinates bacterial communication and cooperation essential for virulence and dominance in polymicrobial settings. QS also regulates the CRISPR-Cas system for targeted defense against parasitic genomes from phages and horizontal gene transfer. Although the QS and CRISPR-Cas systems are vital for bacterial survival, they undergo frequent selection in response to biotic and abiotic factors. Using the opportunistic Pseudomonas aeruginosa with well-established QS and CRISPR-Cas systems, we show how the social interactions between the acyl-homoserine lactone (AHL)-QS signal-blind mutants (ΔlasRrhlR) and the CRISPR-Cas mutants are affected by phage exposure and nutrient availability. We demonstrate that media conditions and phage exposure alter the resistance and relative fitness of ΔlasRrhlR and CRISPR-Cas mutants while tipping the fitness advantage in favor of the QS signal-blind mutants under nutrient-limiting conditions. We also show that the AHL signal-blind mutants are less selected by phages under QS-inducing conditions than the CRISPR-Cas mutants, whereas the mixed population of the CRISPR-Cas and AHL signal-blind mutants reduce phage infectivity, which can improve survival during phage exposure. Our data reveal that phage exposure and nutrient availability reshape the population dynamics between the ΔlasRrhlR QS mutants and CRISPR-Cas mutants, with key indications for cooperation and conflict between the strains. IMPORTANCE The increase in antimicrobial resistance has created the need for alternative interventions such as phage therapy. However, as previously observed with antimicrobial resistance, phage therapy will not be effective if bacteria evolve resistance and persist in the presence of the phages. The QS is commonly known as an arsenal for bacteria communication, virulence, and regulation of the phage defense mechanism, the CRISPR-Cas system. The QS and CRISPR-Cas systems are widespread in bacteria. However, they are known to evolve rapidly under the influence of biotic and abiotic factors in the bacterial environment, resulting in alteration in bacterial genotypes, which enhance phage resistance and fitness. We believe that adequate knowledge of the influence of environmental factors on the bacterial community lifestyle and phage defense mechanisms driven by the QS and CRISPR-Cas system is necessary for developing effective phage therapy.
Evaluating scat surveys as a tool for population and community assessments

Abstract Context. Reliable, cost-effective monitoring methods are essential for managing wildlife populations. Scat-and-sign surveys (i.e. monitoring defecation, animal scratching, footprints, food remains) are a rapid, low-cost, non-invasive monitoring approach, but unquantified biases and uncertainties associated with these methods have caused researchers to doubt their reliability. Aims. We sought to quantify how richness, occupancy and activity estimates derived from a long-term camera-trap study differed from those of scat surveys in the same locations, to determine scat-survey reliability and model bias corrections. Methods. We used transect-based scat surveys at 110 sites in the temperate forests of southern Tasmania (Australia), to estimate occupancy, activity and community richness for common, ground-dwelling vertebrates. These results were compared with estimates derived from a long-term passive camera-trap study at the same sites. In addition, time-lapse imagery taken with the camera traps was used to monitor the persistence of rufous-belled pademelon (Thylogale billardierii) and Tasmanian devil (Sarcophilus harrisii) scats in relation to environmental correlates. Key results. Scat persistence differed between these two species. The half-life of S. harrisii scats was 113 days, compared with 63 days for T. billardierii. Generalised linear modelling showed that scat surveys were most efficacious at sites with little disturbance and homogenous substrates. Overall, scat surveys consistently underestimated site occupancy and richness relative to the camera traps (μ = 2.7:1), but this bias was inconsistent, with the ratio exceeding 15 for the arboreal brushtail possum (Trichosurus vulpecula). Scats were most reliably detected for large, trail-using mammals such as S. harrisii, T. billardierii, and common wombat (Vombatus ursinus). Scat surveys were less useful for the surveillance of low-density and arboreal species. Scats were uncommon for the two bird species examined, but alternative superb lyrebird (Menura novaehollandiae) signs were detected reliably. Conclusions. Scat surveys reliably detected large, trail-using mammals. However, estimates of activity were poorly correlated between camera traps and scat surveys. Implications. When used appropriately, scat surveys can provide an effective and cheap ‘snapshot’ index for wildlife monitoring, especially if the species-specific biases have been calibrated for the vertebrate community and environment under monitoring.
Autonomous underwater glider observations in southern Lake Ontario and Niagara River plume

The nearshore areas of the Laurentian Great Lakes provide valuable ecosystem services including habitat for a variety of species and water for surrounding communities. Recent declines in nearshore water quality have increased the need for understanding the connectivity between nearshore and offshore areas; however observing water quality variability across the dynamic nearshore to offshore transition zone poses logistical challenges for traditional observing systems. Here we evaluate cross-shore and along-shore water quality gradients using observations from two three-week deployments of a Slocum autonomous glider in southern Lake Ontario. The glider was deployed between the Niagara River mouth and Rochester, NY during early and late summer 2018, and each deployment resulted in over 3000 vertical profiles of the water column and several transects between 2 km and 20 km from shore. In early summer, the cross-shore chlorophyll gradient was characterized by highest values just below the surface, at the frontal zone between weakly stratified conditions closer to shore and unstratified conditions offshore. In late summer, stratified conditions extended across the entire survey area. The depth of the thermocline was deeper and chlorophyll values were lower within 10 km of shore than offshore, where the highest chlorophyll values were observed in a distinct layer below the thermocline. In both early and late summer, the frontal boundary indicated by the cross-shore chlorophyll gradient was located below the surface and well offshore of what is typically considered the nearshore zone but was within the width of the coastal boundary layer. The high-resolution glider observations provide a detailed view of patterns of variability across a dynamic coastal zone and pinpoint the cross-shore frontal boundary that may be important for biologists to differentiate biological communities.
Sustainable Instrument Development in Educational Research

Abstract The current study presents an overview of studies investigating educational research instruments development. This study only discusses similar topics in instrument development. The instrument discussed is the assessment of perspective on inclusive education. This research adopted a literature review approach. There are seven research stages: beginning the article, relevant literature identification, review structuring, tone structuring, tense structuring, theoretical development, and evaluating. The current study indicates four main steps in the research and development method: data collection, planning, initial product development, and validation. Simultaneously, the revision or feedback process must be integrated with each step. Research and development is a cycle, so the product development results must be continuously reviewed to remain appropriate and solve current problems. Thus, with the sustainable instrument development method, ideas and innovations in education can be realized.
MEGCF: Multimodal Entity Graph Collaborative Filtering for Personalized Recommendation

In most E-commerce platforms, whether the displayed items trigger the user’s interest largely depends on their most eye-catching multimodal content. Consequently, increasing efforts focus on modeling multimodal user preference, and the pressing paradigm is to incorporate complete multimodal deep features of the items into the recommendation module. However, the existing studies ignore the mismatch problem between multimodal feature extraction (MFE) and user interest modeling (UIM). That is, MFE and UIM have different emphases. Specifically, MFE is migrated from and adapted to upstream tasks such as image classification. In addition, it is mainly a content-oriented and non-personalized process, while UIM, with its greater focus on understanding user interaction, is essentially a user-oriented and personalized process. Therefore, the direct incorporation of MFE into UIM for purely user-oriented tasks, tends to introduce a large number of preference-independent multimodal noise and contaminate the embedding representations in UIM. This paper aims at solving the mismatch problem between MFE and UIM, so as to generate high-quality embedding representations and better model multimodal user preferences. Towards this end, we develop a novel model, multimodal entity graph collaborative filtering, short for MEGCF. The UIM of the proposed model captures the semantic correlation between interactions and the features obtained from MFE, thus making a better match between MFE and UIM. More precisely, semantic-rich entities are first extracted from the multimodal data, since they are more relevant to user preferences than other multimodal information. These entities are then integrated into the user-item interaction graph. Afterwards, a symmetric linear Graph Convolution Network (GCN) module is constructed to perform message propagation over the graph, in order to capture both high-order semantic correlation and collaborative filtering signals. Finally, the sentiment information from the review data are used to fine-grainedly weight neighbor aggregation in the GCN, as it reflects the overall quality of the items, and therefore it is an important modality information related to user preferences. Extensive experiments demonstrate the effectiveness and rationality of MEGCF.1
Semantic Knowledge Graphs for the News: A Review

ICT platforms for news production, distribution, and consumption must exploit the ever-growing availability of digital data. These data originate from different sources and in different formats; they arrive at different velocities and in different volumes. Semantic knowledge graphs (KGs) is an established technique for integrating such heterogeneous information. It is therefore well-aligned with the needs of news producers and distributors, and it is likely to become increasingly important for the news industry. This article reviews the research on using semantic knowledge graphs for production, distribution, and consumption of news. The purpose is to present an overview of the field; to investigate what it means; and to suggest opportunities and needs for further research and development.
LACE: A Logical Approach to Collective Entity Resolution

In this paper, we revisit the problem of entity resolution and propose a novel, logical framework, LACE, which mixes declarative and procedural elements to achieve a number of desirable properties. Our approach is fundamentally declarative in nature: it utilizes hard and soft rules to specify conditions under which pairs of entity references must or may be merged, together with denial constraints that enforce consistency of the resulting instance. Importantly, however, rule bodies are evaluated on the instance resulting from applying the already 'derived' merges. It is the dynamic nature of our semantics that enables us to capture collective entity resolution scenarios, where merges can trigger further merges, while at the same time ensuring that every merge can be justified. As the denial constraints restrict which merges can be performed together, we obtain a space of (maximal) solutions, from which we can naturally define notions of certain and possible merges and query answers. We explore the computational properties of our framework and determine the precise computational complexity of the relevant decision problems. Furthermore, as a first step towards implementing our approach, we demonstrate how we can encode the various reasoning tasks using answer set programming.
Distributed Edge Coloring in Time Polylogarithmic in Δ

We provide new deterministic algorithms for the edge coloring problem, which is one of the classic and highly studied distributed local symmetry breaking problems. As our main result, we show that a (2Δ - 1)-edge coloring can be computed in time poly log Δ + O(log* n) in the LOCAL model. This improves a result of Balliu, Kuhn, and Olivetti [PODC '20], who gave an algorithm with a quasi-polylogarithmic dependency on Δ. We further show that in the CONGEST model, an (8 + ε)Δ-edge coloring can be computed in poly log Δ + O(log* n) rounds. The best previous O(Δ)-edge coloring algorithm that can be implemented in the CONGEST model is by Barenboim and Elkin [PODC '11] and it computes a 2O(1/ε)Δ- edge coloring in time O(Δε + log* n) for any ε ∈ (0, 1].
Aggressive B‐cell lymphoma with t(3;8)(q27;q24) in an elderly patient

Division of Hematopathology and Transfusion Medicine, Fraser Health Authority, New Westminster, British Columbia, Canada Department of Pathology and Laboratory Medicine, University of British Columbia, Vancouver, British Columbia, Canada Division of Hematology, Department of Medicine, University of British Columbia, Vancouver, British Columbia, Canada Department of Cytogenetics, The Royal Columbian Hospital, Fraser Health Authority, New Westminster, British Columbia, Canada
Modified AES with Key dependent S-box, rotor dependent subkeys and frequency analysis resistance (AES-KSF)

— With the widespread use of computers and Internet as well as electronic commerce, computer security becomes more and more important. In this paper, we introduce AES with key dependent S-box, rotor dependent subkeys and frequency analysis resistance (AES-KSF). The AES-KSF algorithm is compared with AES and gives excellent results from the viewpoint of the security characteristics and the statistics of the ciphertext. Also, we apply the randomness test to the AES-KSF algorithm and the results shown that the new design passes all tests which proven its security.
Planning for Ubiquitous Learning in PLAN

— The rise of e-Learning as a primary platform for higher education promises to open up higher education to a wider range of learners than ever before. In order to best cater to this ever more diverse group of students, a personal learning system, which reflects the individual student’s learning style and needs, would be valuable. Such a system would successfully integrate a user’s learner profile, as well as his or her social networks, and big data sources, as well as time and location information in order to support ubiquitous learning. In this paper, we review PLAN (Personal Learning AssistaNt), our model for personal recommendation systems for students of higher learning and explore how ubiquitous learning fits in with our system.
and Recruitment under Flow Conditions Receptor-Mediated Neutrophil Activation g Sphingosine 1-Phosphate Enhances Fc

Sphingosine 1-phosphate (S1P) is a bioactive phospholipid that is released by platelets and endothelial cells and has been impli-cated in diverse biological functions. We hypothesized that S1P may inﬂuence immune complex-mediated polymorphonuclear neutrophil activation. Using ﬂow cytometry and ﬂuorescence spectrometry, we found that exogenous addition of S1P led to an enhanced polymorphonuclear neutrophil Fc (cid:1) receptor-mediated rise in intracellular Ca 2 (cid:2) and reactive oxygen species generation in a pertussis toxin-independent manner, while having only a small effect by itself. Thus, S1P ampliﬁes a positive feedback loop where Fc (cid:1) receptor-mediated rises in Ca 2 (cid:2) and reactive oxygen species are interdependent, with reactive oxygen species acting to increase tyrosine phosphorylation and activity of upstream signaling intermediates. S1P augmentation of Fc (cid:1) receptor signaling translates to downstream functional consequences, including shape change and recruitment to endothelial surfaces coated with suboptimal levels of immune complexes. Taken together, S1P from activated platelets or endothelial cells may serve to amplify leukocyte recruitment and tissue injury at sites of immune complex deposition in vasculitis. The Journal of Immunology, 2009, 183: 2330–2336. followed by incubation with anti-Syk Ab overnight at 4°C. Supernatant was then incubated with 20 (cid:2) l of protein G-Sepharose beads fo r 2 h at4°C. After centrifugation at 3000 rpm, pro-tein-bound beads were washed 4 times in 1 ml of lysis buffer and resus- pended in Laemmli sample buffer, boiled, and run on 4–12% polyacryl-amide gels before transferring to a nitrocellulose membrane and analysis by Western blotting. Membranes were blocked with TBST plus 5% BSA and probed with primary Abs overnight at 4°C followed by appropriate secondary Abs fo r 1 h atroom temperature. Immunoblots were developed with a chemiluminescence substrate (Amersham).