Miracle-dz/UniFAR-FTUs huggingface dataset:
R2Z2: Detecting Rendering Regressions in Web Browsers through Differential Fuzz Testing

A rendering regression is a bug introduced by a web browser where a web page no longer functions as users expect. Such rendering bugs critically harm the usability of web browsers as well as web applications. The unique aspect of rendering bugs is that they affect the presented visual appearance of web pages, but those web pages have no pre-defined correct appearance. Therefore, it is challenging to automatically detect errors in their appearance. In practice, web browser vendors rely on non-trivial and time-prohibitive manual analysis to detect and handle rendering regressions. This paper proposes R2Z2, an automated tool to find rendering regressions. R2Z2 uses the differential fuzz testing approach, which repeatedly compares the rendering results of two different versions of a browser while providing the same HTML as input. If the rendering results are different, R2Z2 further performs cross browser compatibility testing to check if the rendering difference is indeed a rendering regression. After identifying a rendering regression, R2Z2 will perform an in-depth analysis to aid in fixing the regression. Specifically, R2Z2 performs a delta-debugging-like analysis to pinpoint the exact browser source code commit causing the regression, as well as inspecting the rendering pipeline stages to pinpoint which pipeline stage is responsible. We implemented a prototype of R2Z2 particularly targeting the Chrome browser. So far, R2Z2 found 11 previously undiscovered rendering regressions in Chrome, all of which were confirmed by the Chrome developers. Importantly, in each case, R2Z2 correctly reported the culprit commit. Moreover, R2Z2 correctly pin-pointed the culprit rendering pipeline stage in all but one case.
Springer MRW: [AU:0, IDX:0]

Physical strength has always been a desirable characteristic among humans, particularly males. It has long been suspected that males developed greater physical strength in order to compete in direct confrontations for mates. As such, male’s upper body strength tends to exceed that of females (Isen et al. 2015; Darwin 1871; Sell et al. 2012). These traits of physical strength are meant to intimidate rivals. However, physical strength is not as useful for males if they do not also possess psychological and behavioral adaptations that encourage engagement in conflict. Thus, a male that is not only physically strong but also has the psychological need for battle will be the most fit (Isen et al. 2015). Accordingly, it is logical for a relationship to exist between physical strength and aggression.
Field-Based Static Taint Analysis for Industrial Microservices

Taint analysis is widely used for tracing sensitive data. However, the state-of-the-art taint analyzers face challenges on recall, scalability, and precision when applied on industrial microservices. To overcome these challenges, we present a field-based static taint analysis approach, which does not distinguish different instances of the same type but distinguishes fields of the same kind for tracing sensitive data on industrial microservices. The experimental results demonstrate that our approach is practical in industrial scenarios.
Fine-Grained ICD Code Assignment Using Ontology-Based Classification

Assigning International Classification of Diseases (ICD) codes based on doctors' clinical diagnoses has historically been a difficult task performed by highly trained clinical coding experts. Recently, attempts have been made to use machine learning techniques at a coarse-grained level to automatically generate lists of medical codes from doctors' notes; however, the results are often difficult to interpret and validate. In this paper, we propose a fine-grained approach that focuses on one diagnosis at a time. We use ontology-based human knowledge to extract semantically related sentences from doctor's notes to support the use of deep learning for reliable training and classification. This fine-grained deep learning approach significantly reduces training load and improves scalability while providing users with a rationale for ICD code prediction. To demonstrate the effectiveness and advantages of our approach, we apply it to the MIMIC-III dataset and show how ICD-9 codes can be automatically assigned to clinical diagnoses.
Ribonuclease and Deoxyribonuclease Activities in Experimental and Human Tumors by the Histochemical Substrate Film Method*

The ribonuclease and deoxyribonuclease activities of 65 experimental and human tu mors (32 different types) have been examined by histochemical substrate film methods. A same general pattern was obtained for the distribution of both nucleases in the various types of experimental and human tumors. The connective tissue stroma and the necrotic regions of the tumor masses showed various levels of nuclease activity, whereas the neoplastic cells showed no demonstrable activity. It appears that deficien cies in ribonuclease and deoxyribonuclease activities represent general properties of cancer cells. The possible significance of the losses of nuclease activities in carcinogenesis is dis cussed.
Effective Arthritis Care 1 Original Manuscript Submission Title: Models of Arthritis Care: A Systems-Level Evaluation of Acceptability as a Dimension of Quality of Care Corresponding Author:

Mia M. Ortiz1, RN BN Faculty of Nursing, Professional Faculties Building, University of Calgary, 2500 University Drive NW, Calgary, ABT2N 4N2 Jatin N. Patel2, MBT; Orchid ID: 0000-0002-7077-3012 Pan-SCN Manager, Strategic Clinical Networks, Alberta Health Services, Calgary, AB Claire E. H. Barber3, MD FRCPC PhD Division of Rheumatology, Cumming School of Medicine, University of Calgary, Calgary, AB Page 1 of 41
Effects of high-intensity exercise and antioxidant administration on brain-derived neurotrophic factor (BDNF) in the rat hippocampus

The purpose of this study was to investigate the effect of attenuation of exerciseinduced oxidative stress by antioxidant administration on brain-derived neurotrophic factor (BDNF) expression in the rat hippocampus. Wistar rats were assigned to four groups: nonexercise (Cont), exercise (Ex), or the combination of exercise with antioxidant administration (small dose: SP, large dose: LP) group. Exercise groups were subjected to treadmill running for 10 consecutive days. The exercise load increased gradually by 5 m/min per day for the first 5 days (10 m/min-30 m/min), and maintained at 30 m/min for the last 5 days. In addition, SP and LP were injected with N-tert butyl-a-phenyl nitrone (PBN) 1h prior to exercise. High-intensity exercise resulted in increased hippocampal 4-hydroxy-2-nonenal (4-HNE) contents compared with Cont. But this elevation was completely suppressed by a large dose of PBN. In Ex and SP, serum total antioxidative power were significantly decreased compared with Cont, whereas no changes were observed in LP. There was a significant negative correlation between hippocampal 4-HNE contents and serum total antioxidative power in SP and LP, suggesting the hypothesis that exercise-induced reduction in total antioxidant power might lead hippocampal 4-HNE accumulation. Furthermore, there was a significant increase of hippocampal BDNF level in LP compared with Cont and Ex. These findings indicate that an increase of oxidative stress might not have a beneficial effect on hippocampal BDNF expression. Our results of this study also suggest that attenuation of exercise-induced oxidative stress by some antioxidants contributes to BDNF expression in the hippocampus. Jpn J Phys Fitness Sports Med, 61(1): 111-117 (2012)
Towards Bias Mitigation in Federated Learning

Federated Learning (FL) provides better user data privacy, while allowing users to collaboratively solve a machine learning problem. However, FL can exacerbate the problem of model bias and unfairness, thus, resulting in segregative or sexist models. The objective of our PhD work is three-fold: (i) Characterize the actual impact of FL settings on bias; (ii) Propose novel FL selection and aggregation methods for bias mitigation; (iii) Take into account antagonistic aspects such privacy, bias and robustness in FL.
University of Birmingham Urban form strongly mediates the allometric scaling of airshed pollution concentrations

We present allometric-scaling relationships between non-point-source emissions of air pollutants and settlement population, using 3030 urban settlements in Great Britain ( home to ca. 80% of the population of that region ) . Sub-linear scalings ( slope  <  1.0; standard error on slope ∼ 0.01; r 2  >  0.6 ) were found for the oxides of nitrogen ( NO x ) and microscopic airborne particles ( PM 10  and PM 2.5 ) . That is, emissions of these pollutants from larger cities are lower per capita than would be expected when compared to the same population dispersed in smaller settlements. The scalings of traf ﬁ c-related emissions are disaggregated into a component due to under-use of roads in small settlements and a fraction due to congestion in large settlements. We use these scalings of emissions, along with a scaling related to urban form, to explain quantitatively how and why urban airshed-average air pollutant concentrations also scale with population. Our predicted concentration scaling with population is strongly sub-linear, with a slope about half that of the emissions scaling, consistent with satellite measurements of NO 2  columns over large cities across Europe. We demonstrate that the urban form of a particular settlement can result in the airshed-average air pollution of that settlement being much larger or smaller than expected. We extend our analysis to predict that the likelihood of occurrence of local air pollution hotspots will scale super-linearly with population, a testable hypothesis that awaits suitable data. Our analysis suggests that coordinated management of emissions and urban form would strongly reduce the likelihood of local pollutant hotspots occurring whilst also ameliorating the urban
Effect of Eel Ventricular Natriuret and Cardiovascular System in the ic Peptide on the Dog Kidney

Ventricular natriuretic peptide (VNP), a possibly new type of natriuretic peptide with an extended C-terminal tail, has been isolated from eel cardiac ventricles. We investigated the effects of eel VNP on the kidney and cardiovascular system and compared these results with those of mammalian peptides in dogs. Eel VNP, human (dog) ANP, human and dog BNPs were infused into the renal artery at non-hypotensive doses. All peptides produced similar diuresis and natriuresis, but cardiac output and the left and right ventricular stroke work were decreased by BNPs, but ANP and eel VNP did not change these parameters. Systemic vascular resistance was increased by BNPs, but unaffected by other peptides. These results show that eel VNP has renal effects similar to ANP and BNP, but it elicits responses in the heart different from those of BNPs in anesthetized dogs.
A novel stochastic model based on echo state networks for hydrological time series forecasting

The Stochastic Streamflow Models (SSMS) are time series models for precise prediction of 1 hydrological data useful in hydrologic risk management. Nowadays, deep learning networks 2 get many considerations in time series forecasting. However, despite their theoretical 3 benefits, they fail due to their drawbacks, such as complex architectures, slow convergence 4 and the vanishing gradient problem. In order to alleviate these drawbacks, we propose a 5 new stochastic model applied in problems that involve stochastic behavior and periodic 6 characteristics. The new model has two components, the first one, a type of recurrent 7 neural network embedding the echo-state (ESN) learning mechanism instead of conventional 8 backpropagation. The last component adds the uncertainty associated with stationary 9 processes. This model is called Stochastic Streamflow Model ESN (SSMESN). It was 10 calibrated with time series of monthly discharge data from MOPEX data set. Preliminar 11 results show that the SSMESN can achieve a significant prediction performance, learning 12 speed. This model, can be considered a first attempt that applies the echo state network 13 methodology to stochastic process. 14
Ekonomik Karlılığı Etkileyen Faktörler: İSO 500 Sanayi İşletmeleri Uygulaması / The Factors Affecting Economics Profitability: A Case Study of ISO 500 Industry Firms

Gunumuzde, yatirimcilar yatirim kararini verirken bircok ekonomik, politik ve siyasi unsuru analiz etmektedirler. Yatirimcilarin yatirim kararini etkileyen en onemli faktorlerden birisi de firmanin karlilik oranidir. Aktif karlilik orani, firma varliklarinin etkin ve verimli kullanilip kullanilmadigini olcer.Bu calisma, firmalarin karlilik duzeylerinin aciklanmasinda, finansal gostergelerinin anlamliligini ve finansal gostergeler ile karlilik degiskenleri arasindaki iliskilerin ortaya konulmasini amaclamaktadir. Bu calismada, Istanbul Sanayi Odasina (ISO) kayitli olan ve 1997´ den 2013’ kadar ilk 100 firma icerisinde yer alan ve BIST 100’de islem goren sirketler arasindan 15 sirket secilmistir. Calismada, degiskenler arasindaki iliskiyi olcmek amaciyla panel regresyon modellerinden yararlanilmis ve tek model elde edilmistir. Sonuc olarak,ekonomik karlilik (bagimli degisken)ile Net Kar Marji, Alacak Devir Hizi, Kaldirac Orani ve Duran Varliklarin Aktif Toplamina Orani (Bagimsiz Degiskenler) arasinda anlamli bir iliski tespit edilmistir. Ekonomik Karlilik ile Cari Oran, Net Isletme Sermayesi/ Net Satislar ve Net Isletme Sermayesi Devir Hizi (Bagimsiz Degiskenler) arasinda anlamli bir iliski tespit edilememistir .
Tumors and Their Microenvironments: Tilling the Soil

The Shifting Paradigm The conventional concept of tumor-host interactions is rooted in the realm of parasitology. A tumor invades an unsuspecting host, and in response to this assault, the host attempts to resist the advances of the tumor by calling on the armamentarium of the immune system. This implies a fundamental opposition between the tumor and host in purpose and intent. However, an accumulation of evidence points to an alternative paradigm, where the tumor microenvironment is not an idle bystander, but actively participates in tumor progression and metastasis (1, 2). In fact, stromal cells and their cytokines coordinate critical pathways that exert important roles in the ability of tumors to invade and metastasize (3). In this issue, Scott et al. (4) describe a Phase I clinical trial using the radiolabeled antibody sibrotuzumab to target the tumor stromal antigen FAP in metastatic lung and colon cancers. Human FAP is unique in its selective expression by tumor stromal fibroblasts in epithelial carcinomas, but not by epithelial carcinoma cells, normal fibroblasts, or other normal tissues. Therefore, FAP is an attractive target for the study of tumor stromal cell biology and provides valuable insights into the roles of the tumor microenvironment. FAP may exemplify pathways by which the microenvironment soil is “tilled” in preparation for tumor invasion and metastasis.
Affi nities , Lifestyle Mobilities , and Quality-of-Life

Tourism is a spatial practice involving two seemingly opposing geographic processes. One is aptly captured by McHugh’s ( 2006b ) phrase “nomads of desire” referring to the ways amenityseeking mobilities and travel are deeply rooted in the Western imagination. The other is succinctly expressed in Lippard’s ( 1997 ) book titled The Lure of the Local describing the enigmatic and increasingly multicentric nature of place affi nities and attachments and sense of home and community. Within the social sciences, place and mobility have long been treated as distinct topics with their own distinct literatures (Cresswell 2006 ; Gieryn 2000 ) . In this context tourism represents an important global phenomenon increasingly understood as the interactive convergence of these two spatial practices (Hall and Müller 2004 ; McIntyre et al. 2006b ) . Ironically, both place affi nities and mobilities have long been discussed as distinct and opposing factors infl uencing quality-of-life (for reviews, see Gustafson 2001, 2006 ) . The typical assumption has been that mobile individuals are less likely to develop or maintain strong attachments to places and, conversely, that people with strong attachments are less eager to relocate (Fried 2000 ; Stokols and Shumaker 1982 ) . As this research evolved, it became clear that the relationship between the two phenomena is quite complex, depending on the scale (local to global) and temporal dynamics (frequency, distance, duration) involved (Gustafson 2009 ) . In many ways, the original impetus for place attachment research was tied directly to human well-being. The earliest studies focused on how people responded to relocation, displacement, or loss of residential places, neighborhoods, and homes (Fried 1963 ; Manzo 2008 ; Stokols and Shumaker 1982 ) . Despite the often negative connotation given to excessive mobility in the residential realm (even diagnosed as “root shock” by psychiatrists) (see Fullilove 1996 ) , touristic mobility is often valorized as a positive feature of modern life (Leed 1991 ; Rojek 1993 ) . More recent studies Chapter 12 Place Affi nities, Lifestyle Mobilities, and Quality-of-Life
Nowcasting Euro Area GDP Growth Using Quantile Regression

This paper uses an application to explore the utility of quantile regression methods in producing (density) nowcasts. Our quantile regression modelling strategy is designed to reﬂect important nowcasting features, namely the use of mixed-frequency data, the ragged-edge and increasingly large numbers of indicators ( big data ). An unrestricted mixed data sampling strategy within a Bayesian quantile regression is used to accommodate a large mixed frequency dataset when nowcasting; we use a shrinkage prior to avoid parameter proliferation in what becomes a large dimensional quantile regression. In an application to Euro Area GDP growth, using over 400 mixed frequency indicators, we ﬁnd that the quantile regression approach does not produce as accurate density nowcasts overall as the density combination approach of Mazzi et al. (2014) unless the indicators are orthogonalised and shrunk to a smaller number. The quantile regression approach overstates the uncertainties associated with GDP growth. This is reﬂected by high probability estimates of GDP at Risk (i.e. negative GDP growth) even during the period of strong GDP growth prior to the global ﬁnancial crisis. However, when the nowcasts are formed early, at 30 or 15 days before the end of the quarter of interest, the quantile regression approach is better able to detect the ensuing recession than the density combination approach.
Curcumin shifts RAS ‐ induced pro ‐ proliferative MEK/ERK ‐ signaling toward pro ‐ apoptotic p38MAPK/JNK1 ‐ signaling, triggering p53 activation and apoptosis

Oncogenic RAS is primarily associated with potent mitogenic ability, and RAS mutants also have an apoptogenic activity, which is poorly understood. Therefore, exploring the signaling circuit that shifts RAS‐ signals from pro‐proliferative to death pathways may provide some molecular clues to the missing link between the mitogenic and apoptogenic mechanisms. Here, we used a systems biology approach exploiting microarray data and employing a mathematical model to better understand the dual role of oncogenic RAS. This approach revealed that a curcumin‐based intervention shifts the oncogenic RAS‐induced MEK/ERK pro‐ proliferative pathway toward p38MAPK/JNK1 pro‐ death signaling. This genotoxic‐signal resulted in phosphorylation of p53 at its transactivation domain and in the transcription of BCL2‐associated X, apoptosis regulator (BAX) and BCL2‐binding component 3 (PUMA) genes, required for p53‐dependent apoptosis. Our exploration of this novel signaling network indicated that for oncogenic RAS to induce transformation, RAS‐ mediated MEK/ERK hyperactivation needs to dominate over its naturally hardwired anti‐tumorigenic functions. In summary, this study delineates hitherto unknown mechanisms by which active RAS mutants act as signal‐ switch molecules that can shift signaling from pro‐ survival to pro‐death circuitry. Our findings highlight potential approaches for tumor control via the differential regulation of different MAPK family members, downstream of RAS, and may, therefore, have therapeutic significance.
Modelling Soil Damping for Suction Pile Foundations

In pursuit of saving mother nature, man has been extending his boundaries to find renewable sources of energy. Wind being one of them, has been exploited in the past years with offshore wind gaining high popularity in the recent years. Owing to the high capital costs of the offshore wind sector, research has been directed to focus on technology and science that could ultimately contribute in cost reduction of offshore wind projects. One such science is the mechanism of damping. Damping, which is often described as ‘dissipation of energy stored in a dynamic system’, can indirectly play an important role in determining the structural configuration of the support structure and the foundation of an offshore wind turbine. A higher value of overall damping can be associated with either an increase in fatigue life or a reduction in overall structural weight. In both the cases there is significant aid to foundation cost cutting. Currently, a typical value of 2-3% (of critical) is used within the industry as an overall damping estimate with little understanding about the contribution of soil damping. This thesis focuses on developing a methodology to compute soil damping coefficients for the case of suction pile foundation and further apply it to a Suction Installed Wind Turbine (SIWT) structure to find soil damping in the form of modal damping percentage.The thesis objective is tackled by using two case studies from projects executed by SPT Offshore. The first case study proposed a method to calculate the vertical damping coefficient (Cv) for an individual suction pile using forced vibration analysis in PLAXIS. Two interesting conclusions were drawn from this case-study; • the Cv increased with an increase in the forcing amplitude. • the Cv decreased with increasing loading frequency (ω), while the product of Cv and ω increased with increasing ω. The second case study implemented the proposed methodology (of the first case study) to a SIWT structure in order to calculate the modal soil damping percentage for the first two modes of the structure using modal analysis. The results when compared with logarithmic decrement percentages, gave similar estimates. The found influence of soil on the damping of this particular structure is significantly larger than the order of magnitude used in the industry today.
Assessment of Health Problems Among Construction Workers in An Urban Area

Aims and objectives: 1) To study socio-demographic profile of construction workers. 2) To study health problems of construction workers. Material & methods: A cross sectional study was conducted at construction sites, included 300 construction workers, aged >14years. The medical and occupational history was taken. Data was analysed using software Open-Epi. Results: Majority (52.33%) of the workers belonged to the age group of 15-25 years. Majority (82.67%) workers were males. Labourers constituted 68% of work force. Most common physical problem among workers was work-place injuries seen in 126 (42.00%) workers. Musculoskeletal disorders were seen in 110 (36.67%) workers.230 (76.67%)were found to be addicted to tobacco and/or alcohol. Conclusions: Common physical problem among workers were work-place injuries, musculoskeletal disorders andrespiratory diseases.