Miracle-dz/UniFAR-FTUs huggingface dataset:
LPC: A Logits and Parameter Calibration Framework for Continual Learning

When we execute the typical fine-tuning 001 paradigm on continuously sequential tasks, the 002 model will suffer from the catastrophic for-003 getting problem (i.e., they forget the param-004 eters learned in previous tasks when training 005 the model on newly emerged tasks). Exist-006 ing replay-based methods need extra storage 007 for old data to update the parameters of the 008 previous classifier to overcome catastrophic 009 forgetting. Our work aims to achieve the se-010 quential/continual learning of knowledge with-011 out accessing the old data. The core idea is 012 to calibrate the parameters and logits (output) 013 so that preserving old parameters and general-014 ized learning on new concepts can be solved 015 simultaneously. Our proposed framework in-016 cludes two major components, the Logits Cal-017 ibration (LC) and Parameter Calibration (PC). 018 The LC focuses on calibrating the learning of 019 novel models with old models, and PC aims to 020 preserve the parameters of old models. These 021 two operations can maintain the old knowledge 022 while learning new tasks without storing previ-023 ous data. We do experiments on 9 scenarios of 024 the GLUE (the General Language Understand-025 ing Evaluation) benchmark. The experimental 026 results show that our model achieves state-of-027 the-art performance on all scenarios. 028
Association between Systolic Blood Pressure after Thrombolysis and Early Neurological Improvement in Ischaemic Stroke Patients

Introduction This study aimed to evaluate the relationship between systolic blood pressures (SBPs) within 12 hours after intravenous recombinant tissue plasminogen activator (rtPA) treatment and early neurological outcomes. Methods This was a retrospective observational study of acute ischaemic stroke (AIS) patients who received intravenous rtPA administration. SBPs at the time of rtPA bolus and thereafter every hour were collected. The mean, standard deviation, and coefficient of variation values of SBP during the periods of 0-2 h, 2-6 h, and 6-12 h were calculated. The primary outcome was major neurologic improvement (MNI) at 24 hours after thrombolysis. Results Serial measures of SBPs revealed different 12-hour courses between the patients with and without MNI. The difference of SBP tendency was statistically significant (p=0.013). In univariate analysis, patients with MNI showed lower levels of mean SBPs during the periods of 2-6 h and 6-12 h (p=0.030 and p=0.005, respectively), and higher frequency of very early neurologic improvement (VENI) at the end of rtPA infusion (p<0.001). In logistic regression analysis, VENI at 1 h, mean SBP value during 6-12 h, and atrial fibrillation were independently related to MNI at 24 h. Conclusions SBP level during the first 12 hours after intravenous rtPA treatment may be an important clinical factor that is associated with early neurological improvement of AIS patients.
Supplementary Material for EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Adding the Huber kernel influences every related element from the likelihood function to the LM iteration step and derivative regularization loss. Thanks to PyTorch’s automatic differentiation, the robustified Monte Carlo KL divergence loss does not require much special handling. For the LM solver, however, the residual F (y) (concatenated weighted reprojection errors) and the Jacobian matrix J have to be rescaled before computing the robustified LM step [14]. The rescaled residual block f̃i(y) and Jacobian block J̃i(y) of the i-th point pair are defined as:
The impact of different organizational environments on The impact of different organizational environments on technostress: Exploring and understanding the bright and dark technostress: Exploring and understanding the bright and dark sides before and during Covid-19 sides before and during Covid-19

The pandemic, Covid-19 has brought about digital transformations that are causing challenges in the world of work, such as increased technostress, which is stress caused by the use of ICTs. Although this condition can negatively impact individuals’ well-being and organizational outcomes, the typical conceptualization of technostress as a “dark phenomenon” overlooks its “bright side”, known as techno-eustress. Research in this area is minimal, which was identified as a research gap that this team was motivated to overcome by forming the aim: To explore, understand and explain the management and duality of technostress in different organizational environments. Using the themes of organizational culture and trust, a qualitative two-phase study used for analysis an interpretivist approach. The sample population of 12 individuals was drawn using a non-random, snowball, purposive and convenience sampling. Twenty-four Semi-structured interviews were conducted before and during the Covid-19 lockdowns and analysed using thematic analysis and open-coding drawn from Grounded Theory. The findings showed that an environment of low centralization and high innovation amplified individuals’ techno-eustress perceptions both, when working in organizational premises and remotely. Conversely, lower levels of trust in more traditional organizations were found to intensify techno-distress, reducing job performance, engagement and job satisfaction.
DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection

Current end-to-end retrieval-based dialogue systems are mainly based on Recurrent Neural Networks or Transformers with attention mechanisms. Although promising results have been achieved, these models often suffer from slow inference or huge number of parameters. In this paper, we propose a novel lightweight fully convolutional architecture, called DialogConv, for response selection. DialogConv is exclusively built on top of convolution to extract matching features of context and response. Dialogues are modeled in 3D views, where DialogConv performs convolution operations on embedding view, word view and utterance view to capture richer semantic information from multiple contextual views. On the four benchmark datasets, compared with state-of-the-art baselines, DialogConv is on average about 8.5x smaller in size, and 79.39x and 10.64x faster on CPU and GPU devices, respectively. At the same time, DialogConv achieves the competitive effectiveness of response selection.
Learning to bid, but not to quit – Experience and Internet auctions

A classic argument in economics is that experience in the market place will eliminate mistakes and cognitive biases. Internet auctions are a popular market were some bidders gather extensive experience. In a unique data set from a Scandinavian auction site I question if and what bidders learn. At face value experienced bidders do adapt better bidding strategies. However, the so-called pseudo-endowment effect does not disappear. Regardless of their experience, bidders will be inclined to increase their willingness to pay as a response to having had “ownership” (the leading bid) before being outbid. Thus, this data can confirm that feedback, and especially negative feedback, seems to be a critical component in learning.
S UPPLEMENTARY M ATERIAL – Rethinking Semantic Segmentation: A Prototype View

First, we present the details of the datasets used for the study of large-vocabulary semantic segmentation (§5.3). In particular, the study is based on ADE20K-Full [19], which contains 25K and 2K images for train and val, respectively. It is elaborately annotated in an open-vocabulary setting with more than 3,000 semantic concepts. Following [3], we only keep the 847 concepts that are appearing in both train and val sets. Then, for each variant ADE20K-x in Table 4, we choose the top-x (x ∈ {300, 500, 700, 847}) classes based on their appearing frequencies. Note that for ADE20K-150, we follow the default setting in the SceneParse150 challenge to use the specified 150 classes for evaluation.
Mask Transﬁner for High-Quality Instance Segmentation (Supplemental material)

We ﬁrst provide more implementation and training/inference details of Mask Transﬁner on three instance segmentation benchmarks (Section 1). Then we conduct more experimental analysis and discussion of comparison between Mask Trans-ﬁner and other methods (Section 2). We further present more qualitative results comparisons on COCO [12], BDD100K [15] and Cityscapes [5] datasets in various scenes (Section 3). Finally, we visualize quadtree attention weights, detected incoherent regions and segmentation results with various quadtree depths (Section 4), including failure cases analysis
Applying Performance Management Tools to Understand and Improve Rapid Re-Housing Program Outcomes

This paper examines the potential for improvement in the performance of Rapid Re-Housing programs in terms of moving people experiencing homelessness quickly and effectively into stable housing. These programs have grown rapidly since their introduction in 2009 and have been evaluated extensively. These evaluations have had mixed results but have generally supported the conclusion that this intervention is equally effective and less expensive than transitional housing programs. Although this literature has clarified the overall effectiveness of this intervention, it provides less insight to local policymakers and program managers on whether their programs are performing as well as possible and what could be done to improve housing outcomes. This analysis employs the tools of performance management— including benchmarking, control charts, process mapping, and performance comparisons across time and providers—to analyze data from the Continuum of Care in Sacramento, California. These tools search for performance outliers that cannot be explained by the underlying variation in the data and then seek to identify the root causes of these deviations. The analysis does find that significant performance deficits have arisen over time and between program providers. If managers could reduce just one-half of the identified performance deficits, the system-level rate of moving clients to stable housing would increase by one-third, a much larger improvement than could be achieved by reasonable budgetary increases.
Nuclear factor- k B augments b 2 -adrenergic receptor expression in human airway epithelial cells

Nuclear factor- k B augments b 2 adrenergic receptor expression in human airway epithelial cells. Am J Physiol Lung Cell Mol Physiol 281: L1271–L1278, 2001. —Interleukin (IL)-1 b increases b 2 -adrenergic receptor ( b 2 -AR) mRNA and density by protein kinase C (PKC)-de- pendent mechanisms in human airway epithelial cells. The present study examined the role of several nuclear transcription factors in the PKC-activated upregulation of b 2 -AR ex- pression. BEAS-2B cells were exposed to the PKC activator phorbol 12-myristate 13-acetate (PMA; 0.1 m M for 2–18 h). PMA had no effect on activator protein (AP)-2 or cAMP response element binding protein DNA binding activity but markedly increased nuclear factor (NF)- k B and AP-1 binding as assessed by electrophoretic gel mobility shift assay. PMA also increased the activity of a b 2 -AR promoter-luciferase reporter construct in transiently transfected cells. These effects were inhibited by the PKC inhibitors Ro-31-8220 and calphostin C. Furthermore, with increasing Ro-31-8220, b 2 -AR promoter-reporter activity correlated closely with both NF- k B and AP-1 activities ( r . 0.89 for both). Finally, the selective NF- k B inhibitor MG-132 dose dependently reduced NF- k B binding and b 2 -AR promoter activity but increased AP-1 binding. We conclude that PKC-induced upregulation of b 2 -AR expression in human airway epithelial cells appears to be mediated, at least in part, by increases in NF- k B activity.
A new method to calculate the friction coefficient of ball screws based on the thermal equilibrium

Based on the theory of thermal transmission, this article provides a new method to acquire the friction coefficient in ball screw mechanism. While the screw is in thermal equilibrium, the heat absorption is equal to the heat dissipation. The heat absorption is able to be achieved by calculating the heat energy due to the friction at the contact area and the heat dissipation can be calculated by the law of thermodynamics. When the temperature rise is determined, the heat dissipation can be obtained and the friction coefficient in ball screw mechanism can be calculated further. In order to confirm the validity of this method, a measuring system is constructed to obtain the temperature rise of ball screws. The experimental results show that the temperature rise has the same tendency with the theoretical values depending on this model. Therefore, it can be exploited to predict the temperature rise of ball screws in the rated life cycle when the ball screw is under the condition of thermal equilibrium. Furthermore, this model can be used to evaluate the mechanical efficiency, which is an important parameter for the performance of the ball screw.
Condensing CNNs with Partial Differential Equations

Convolutional neural networks (CNNs) rely on the depth of the architecture to obtain complex features. It results in computationally expensive models for low-resource IoT devices. Convolutional operators are local and restricted in the receptive field, which increases with depth. We explore partial differential equations (PDEs) that offer a global receptive field without the added overhead of maintaining large kernel convolutional filters. We propose a new feature layer, called the Global layer, that enforces PDE constraints on the feature maps, resulting in rich features. These constraints are solved by embedding iterative schemes in the network. The proposed layer can be embedded in any deep CNN to transform it into a shallower network. Thus, resulting in compact and computationally efficient architectures achieving similar performance as the original network. Our experimental evaluation demonstrates that architectures with global layers require 2 - 5 × less computational and storage budget without any significant loss in performance.
A Systematic Review of Factors Influencing Social Participation of Older Adults

: Social engagement has many benefits for health of older adults. The literature describes that personal and environmental factors may act as facilitators or obstacles for levels of social participation of older people. The objective of this systematic review was to examine social participation types most engaged among older people and to analyze factors influencing the social participation of these people. Published articles written in English from 2006 to 2016 were searched from electronic databases, including ScienceDirect, PubMed, and CINAHL databases. The keywords combination used in the search strategy were: social participation, social engagement, social activity, and factors, and aging, or older persons. Ten articles were selected for final review based on defined eligibility criteria. The literature revealed that community-based activities were more engaged by older people than individual-based activities. In addition, factors influencing participation in social of older people were health status, and a friendly environment, whereas it was still unclear whether sociodemographic factors were correlated with participation in social of older people. The literature highlighted that more rigorous studies are needed to examine the correlation between factors and social participation of older people. Nurses need to work with others to support and educate significant people regarding friendly environments for older people so that they can engage in social activities, either community- based or individual-based. Pacific Rim Int J Nurs Res 2019; 23(2) resources model. Engagement in leisure activities, learning activities, and volunteering might have an enhancing effect on membership in political organizations.
Effect of Carbon Dioxide on Photorespiration1

The isotopic CO2 technique for measuring photorespiration was sbown to be a valid tene for measuring the unidtional inward and outward fluxes of CO2 from a sunflower (Helianthus aauus L.) leaf in the light. The rate of photorespiration was decreased little as the CO2 concentration was increased from 20 to 1,150 microliters per liter. This finding contradicts the widely held assumption that photorespiration is suppressed at high CO concentrations. Some discussion regarding this apparent conflict is presented. The that will measure photorespiration that
Bacterial Isolates and Drug Susceptibility Patterns of Urinary Tract Infection at Shaheed Monsur Ali Medical College

This cross sectional study was conducted to isolate and identify the common bacterial causes of Urinary Tract Infections (UTIs) from urine by culture. A total 2542 urine samples were collected from clinically suspected UTIs patients. Common causative bacteria of UTI were detected by Gram staining, culture in different media, different biochemical tests. Among 324 (12.75%) had significant bacteriuria and the rate of positive culture was 11.48% (232/2020) for female and 17.62% (92/522) for male. In this study, the predominant bacterial isolates were E. coli 208 (64.20%) followed by Proteus 56 (17.28%). Other predominant bacterial isolates includes Klebsella species 30 (9.26), Pseudomonas 8 (2.47), Stap. saprophyticus 10 (3.09), Staphylococcus aureus 6 (1.85) and Enterococci 6 (1.85). E. coli as the predominant cause of UTI, 82.69% were resistance to Nalidexic and 98.08% sensitive to Amikacin and Imipenem. Proteus was resistant to Co-Trimoxazole in 60.7% and P. aeruginosa were 100% resistance to ceftriaxone. Among the Gram positive organism, Stap. saprophyticus and Staphylococcus aureus were 100% resistant to Nalidexic, Enterococcus were 66.67% resistant to ciprofloxacin and cefixime. causing 84.3% of the UTIs although several different microorganisms can cause UTIs, including fungi and viruses, bacteria are the major causative organisms and are responsible for more than 95% of UTI cases [9]. Treatment of UTI cases is often started empirically. Therapy is based on information determined from the antimicrobial resistance pattern of the urinary pathogens. However, because of the evolving and continuing antibiotic resistance phenomenon, regular monitoring of resistance patterns is necessary to improve guidelines for empirical antibiotic therapy [10-12]. The aim of this study was to determine the causative agents of UTIs and their susceptibility patterns to commonly used antibiotics in patients from the Dhaka.
Performance Comparision of Encoding Schemes for ETSI ITS C2X Communication Systems

—Wireless Car-to-X communication is about to enter the mass market in upcoming years. Thereby, available bandwidth is small with only a low number of usable channels and many communicating entities. Therefore, efﬁcient data encoding schemes are required to allow bandwidth saving use of the wireless channel by embedded devices. No detailed analysis of different encoding schemes for Car-to-X communication regarding important properties like runtime, memory consumption and encoded output length has been published so far. We provide such analysis for standardized ASN.1 and binary representations as well as Google Protocol Buffers as an alternative approach to the data encoding problem. Standardised data content for CAM, DENM and the security envelope are used in the conducted performance study. We show that ASN.1 encoding outperforms usage of Google Protocol Buffers, but is outperformed by a binary encoding scheme in most cases. This implies that standardization efforts for the security envelope should reconsider the recent shift from binary encoding towards usage of ASN.1.
Thyrocyte cell survival and adaptation to chronic endoplasmic reticulum stress due to misfolded thyroglobulin

TSH, stimulating Tg, thyroglobulin TG , thyroglobulin gene; TUN, tunicamycin; BiP, immunoglobulin heavy chain binding protein; ER, endoplasmic reticulum; IRE-1, inositol-requiring enzyme-1; XBP1, X-box binding protein-1; PERK, protein kinase R-like ER kinase; CHOP, CCAAT-enhancer-binding protein homologous protein; phospho-eIF2 α , phosphorylated eukaryotic initiation factor 2- ; mTOR, mammalian target of rapamycin; AMP, adenosine monophosphate; phospho-AMPK, phosphorylated AMP kinase; Mfsd2a , gene encoding the major facilitator superfamily domain-containing-2A; ROS, reactive oxygen species; HRP, horseradish peroxidase; s.d. , standard deviation; WT, EM, microscopy.
Association of Healthy Eating Index with Diabetes Complications Among Type 2 Diabetes Patients in Gaza Strip, Palestine: A Cross Sectional Study

Background: The prevalence of diabetes mellitus is rising worldwide. When diabetes is uncontrolled, it has dire consequences for health and well-being. The aim of this study was to determine the association between Healthy Eating Index-2010 (HEI-2010) score with diabetes complications among type 2 diabetes patients. Methods: This cross-sectional study was conducted among 1187 previously diagnosed type 2 diabetes mellitus (both genders, aged 20-64 years), patients receiving care in primary healthcare centers in Gaza Strip, Palestine. A validated semi-quantitative food frequency questionnaire was used to assess the dietary intake of patients. HEI-2010 score was used to assess diet quality of patients. Additional information regarding demographic and medical history variables was obtained with an interview-based questionnaire. All statistical analysis was performed using SPSS version 20. Results: After adjustment for potential confounders, patients in the lowest quartile (Q1) of HEI-2010 had the highest risk of (High blood pressure and heart problems), (Odds ratio [OR] =1.361, 95% confidence interval [CI] = [1.145-1.618]), (OR = 1.469, 95% CI = [1.148-1.878]), respectively, (P value < 0.005 for all), compared with those in the upper quartile (Q4). No significant association was found between HEI-2010 quartiles with eyes problems, kidney problems, extremities problems and neurological problems. Conclusion: The highest HEI-2010 score may be associated with a lower prevalence of high blood pressure and heart problems among type 2 diabetes patients. Further prospective cohort studies are needed to confirm the results of this study
Expression of P30, a Protein with Adhesive Properties, in Schwann Cells and Neurons of the Developing and Regenerating Peripheral Nerve

P30 is a heparin-binding protein with adhesive and neurite outgrowth-promoting properties present at high levels in the developing rat central nervous system (Rauvala, H., and R. Pihlaskari. 1987 J. Biol. Chem. 262:16625-16635). Partial sequencing of p30 has revealed homology or identity with HMG-1 (Rauvala, H., J. Merenmies, R. Pihlaskari, M. Korkolaihen, M.-L. Huhtala, and P. Panula. 1988. J. Cell Biol. 107:2292-2305), a 28-kD protein that was originally purified from the thymus (Goodwin, G. H., C. Sanders, and E. W. Johns. 1973. Eur. J. Biochem. 38:14-19) which binds DNA in vitro. We have analyzed the distribution of p30 in the developing rat peripheral nervous system (PNS). P30 was detected by immunohistochemistry and Western blot analysis using antibodies raised against intact p30 and against a synthetic peptide corresponding to the amino terminus of