Miracle-dz/UniFAR-FTUs huggingface dataset:
gDefect4DL: A Dataset of General Real-World Deep Learning Program Defects

The development of deep learning programs, as a new programming paradigm, is observed to suffer from various defects. Emerging research works have been proposed to detect, debug, and repair deep learning bugs, which drive the need to construct the bug benchmarks. In this work, we present gDefects4DL , a dataset for general bugs of deep learning programs. Comparing to existing datasets, gDefects4DL collects bugs where the root causes and fix solutions can be well generalized to other projects. Our general bugs include deep learning program bugs such as (1) violation of deep learning API usage pattern (e.g., the standard to implement cross entropy function 𝑦 · 𝑙𝑜𝑔 ( 𝑦 ) , 𝑦 → 0, without NaN error), (2) shape-mismatch of tensor calculation, (3) numeric bugs, (4) type-mismatch (e.g., confusing similar types among numpy, pytorch, and tensorflow), (5) violation of model architecture design convention, and (6) performance bugs. For each bug in gDefects4DL , we describe why it is general and group the bugs with similar root causes and fix solutions for reference. Moreover, gDefects4DL also maintains (1) its buggy/fixed versions and the isolated fix change, (2) an isolated environment to replicate the defect, and (3) the whole code evolution history from the buggy version to the fixed version. We design gDefects4DL with extensible interfaces to evaluate software engineering methodologies
Targeting Tyrosinase Engineered with a Highly Avid TCR Effective In Vivo Tumor Treatment When Both CD4 and CD8 T Cells Mediate Equally

Tyrosinase, an enzyme involved in melanin synthesis, is expressed in nearly all primary and metastatic melanoma lesions and thus is an attractive target for TCR-based gene therapy using adoptive cell transfer. The TCR a - and b -chain genes from a tumor-inﬁltrating lymphocyte, which recognized the tyrosinase 368–376 peptide in the context of HLA-A2, were cloned into a g -retroviral vector. Following transduction of PBL, speciﬁc reactivity was conﬁrmed by cytokine production following coculture with tumor targets. Experiments using Ab blockade and CD4/CD8 sorting of the transduced PBLs demonstrated that this antityrosinase TCR was CD4/CD8 independent. The introduction of a second disulﬁde bond between the TCR constant regions and/or creation of a chimeric protein in which the human constant regions were replaced by murine homologs resulted in enhanced TCR expression as demonstrated by tetramer staining and improved tumor reactivity that was comparable to PBL transduced with either antimelanoma Ag recognized by T cells-1 or anti-gp100 TCR vectors currently used in clinical trials. The chimeric TCR also allowed us to test antitumor function of in HLA-A2/K b –transgenic mice. Transfer of the antityrosinase TCR into mouse splenocytes conferred CD4/CD8-independent, HLA-A2–restricted Ag reactivity against B16/A2K b murine melanoma in vitro. Furthermore, adoptive transfer of transduced splenocytes mediated B16/A2K b melanoma tumor regression in lymphodepleted mice, and, surprisingly, both CD8 and CD4 T cells were equally effective in mediating tumor regression. These results suggest that this highly active tyrosinase-speciﬁc
Is Nomophobia an Early Indicator of Developing Problematic Smartphone Use?

Problematic smartphone use and nomophobia have been associated with several psychopathological conditions. However, little is known about the interconnectedness of these phenomena and conditions that influence them, despite previous studies discussing the mediating effects of variables such as boredom proneness, self-control, and attachment anxiety. We differentiate them as separate phenomena and investigate the role of emotional wellbeing and mindfulness in influencing them through a quantitative study with a sample of 282 participants. Statistical analysis shows that negative affective states indirectly influence problematic smartphone use through nomophobia while gender and occupation have an impact of nomophobia as well. Further, mindfulness has no bearing on problematic smartphone use or nomophobia. The study demonstrates subtle differences between two dark side phenomena and signifies the varying effects on them. It furthers the argument that dark side phenomena are interrelated and highlights the need to explore mitigation mechanisms beyond mindfulness to deal with these phenomena.
What drives Consumers' Trust in Proactive Services: A Best-Worst scaling approach

Increasing advancements in digital technologies, especially in artificial intelligence, are changing the nature of services. Services no longer rely on the consumers making the first move, but instead, service providers can anticipate consumers’ needs and address them proactively by so-called proactive services (PAS). Within this new service type, consumers may enable the service provider to decide upon the consideration, decision, and enactment of the service. In PAS, consumers assign these previously “owned” phases to the service provider and thereby, also devolve power to the provider. Thus, trust is an indisputable prerequisite for consumer acceptance. However, it is unclear how individual characteristics of PAS impact consumers’ trust. Addressing this research gap, this research-in-progress paper proposes a Best-Worst scaling survey in which potential consumers of two exemplary PAS state their trust with respect to different PAS characteristics. Thereby, this paper will extend the knowledge in understanding PAS.
Black-Box Models for Non-Functional Properties of AI Software Systems

Non-functional properties (NFPs) such as latency, memory requirements, or hardware cost are an important characteristic of AI software systems, especially in the domain of resource-constrained embedded devices. Embedded AI products require sufficient resources for satisfactory latency and accuracy, but should also be cost-efficient and therefore not use more powerful hardware than strictly necessary. Traditionally, modeling and optimization efforts focus on the AI architecture, utilizing methods such as neural architecture search (NAS). However, before developers can start optimizing, they need to know which architectures are suitable candidates for their use case. To this end, architectures must be viewed in context: model post-processing (e.g. quantization), hardware platform, and run-time configuration such as batching all have significant effects on NFPs and therefore on AI architecture performance. Moreover, scalar parameters such as batch size cannot be benchmarked exhaustively. We argue that it is worthwhile to address this issue by means of black-box models before deciding on AI architectures for optimization and hardware/software platforms for inference. To support our claim, we present an AI product line with variable hardware and software components, perform benchmarks, and present notable results. Additionally, we evaluate both compactness and generalization capabilities of regression tree-based modeling approaches from the machine learning and product line engineering communities. We find that linear model trees perform best: they can capture NFPs of known AI configurations with a mean error of up to 13 %, and can predict unseen configurations with a mean error of 10 to 26 %. We find linear model trees to be more compact and interpretable than other tree-based approaches. CCS CONCEPTS • Computing methodologies → Modeling methodologies; Machine learning; • Software and its engineering → Extra-functional properties.
Product Innovativeness: Systematic Literature Review and Proposal of a Multidimensional Construct

Understanding the mechanisms behind the adoption of innovation has been of interest to marketing scholars for decades. Surprisingly, however, one of the most crucial elements in studying this phenomenon continues to be used heterogeneously in its conceptualization and measurement: product innovativeness. There is reason to believe that the inconsistent application of the construct partly accounts for varying results in empirical research studies. Hence, this article applies a systematic literature review on findings using the variable product innovativeness. Based on the synthesis of results, we propose a multidimensional conceptualization of the construct product innovativeness. More specifically, results suggest that the complexity of product innovativeness is best accounted for when including functional, behavioral, and design-related product perceptions. We conclude with future research avenues.
COVID-19 and older people’s wellbeing in northern KwaZulu-Natal – the importance of relationships

Background The COVID-19 pandemic and the non-pharmacological prevention methods have affected the wellbeing of older people. In this paper we focus on the wellbeing, and vulnerability, of older people in rural northern KwaZulu-Natal, South Africa during the first year of the pandemic. Methods We conducted monthly in-depth interviews for up to four months with 26 people aged 60 years and older. A total of 87 interviews were conducted by telephone, because of restrictions on face-to-face contact, and digitally recorded. After transcription and translation, the data were coded thematically, with analysis guided by a wellbeing theoretical framework. Results Having access to food, to healthcare and to somewhere they felt safe to stay, was essential for everyone. For many managing expenses became more of a struggle as adult children who had lost their source of employment came home to stay. However, despite the shortages of money, the importance of relationships, whether they are familial or the close community of neighbours, was highlighted in the accounts of many participants. Older people not only got help with day-to-day life from others, but also found solace in the company of others. The sense of community, from family and neighbours, helped to ease some of the stress experienced because of the lockdowns. Conclusions The COVID-19 pandemic and the restrictions imposed to limit the spread of the virus impacted the wellbeing of older adults in rural KwaZulu-Natal. Our findings show how the importance of relationships with family and friends contributed to nurturing wellbeing for older people.
Long-term ash dispersal dataset of the Sakurajima Taisho eruption for ashfall disaster countermeasure

Abstract. A large volcanic eruption can generate large amounts of ash which affect the socio-economic activities of surrounding areas, affecting airline transportation, socio-economics activities, and human health. Accumulated ashfall has devastating impacts on areas surrounding the volcano and in other regions, and eruption scale and weather conditions may escalate ashfall hazards to wider areas. It is crucial to discover places with a high probability of exposure to ashfall deposition. Here, as a reference for ashfall disaster countermeasures, we present a dataset containing the estimated distributions of the ashfall deposit and airborne ash concentration, obtained from a simulation of ash dispersal following a large-scale explosive volcanic eruption. We selected the Taisho (1914) eruption of the Sakurajima volcano, as our case study. This was the strongest eruption in Japan in the last century, and our study provides a baseline for a worst-case scenario. We employed one eruption scenario (OES) approach by replicating the actual event under various extended weather conditions to show how it would affect contemporary Japan. We generated an ash dispersal dataset by simulating the ash transport of the Taisho eruption scenario using a volcanic ash dispersal model and meteorological reanalysis data for 64 years (1958–2021). We explain the dataset production and provide the dataset in multiple formats for broader audiences. We examine the validity of the dataset, its limitations, and its uncertainties. Countermeasure strategies can be derived from this dataset to reduce ashfall risk. The dataset is available at the DesignSafe-CI Data Depot: https://www.designsafe-ci.org/data/browser/public/designsafe.storage. published/PRJ-2848v2 or through the following DOI: https://doi.org/10.17603/ds2-vw5f-t920 by selecting Version 2 (Rahadianto and Tatano, 2020).
Examining the Characteristics of New Zealand Micro-Investors

Micro-investing is a new and upcoming investment opportunity. Though much is known about the micro-investing scene internationally, there is little information about this from the New Zealand context. In this research-in-progress paper, we propose to examine the characteristics of New Zealand micro-investors. Specifically, we explore the socio-demographics and psychographic characteristics of New Zealand micro-investors using a conceptual model. Additionally, external influences are also examined for their impact on micro-investing decisions. Data will be collected using semi-structured interviews. Results will be analysed qualitatively. Results from this research study will provide insights in developing a broad New Zealand based micro-investor profile.
Practice of Epidemiology ‘‘Proportion Explained’’: A Causal Interpretation for StandardMeasures of Indirect Effect?

The assessment of indirect effects is an important tool for epidemiologists interested in exploring the mechanisms of exposure-disease relations. A standard way of expressing an indirect effect is in terms of the ‘‘proportion explained’’; this is the proportion of the total effect that is explained by a particular mediator (or set of mediators). There are several ways to calculate the proportion explained, based on both additive and multiplicative models. However, these standard methods (particularly those based on multiplicative models) have been criticized for lacking a causal interpretation. To address this issue, the author uses a framework of potential outcomes to define the indirect effects of interest (natural effects) and assess the correspondence between the natural effects and standard measures. The author finds that standard additive measures represent an unbiased weighted average of the effects of interest; standard multiplicative measures, on the other hand, yield a biased weighted average of these effects. If the investigator is primarily interested in whether or not an indirect effect exists, standard measures for mediation will often yield the correct answer. In contrast, if valid quantification of the indirect effect is desired, counterfactual-based methods should be used.
Reconceptualising Interpreter’s Role – A perspective from social identity theories

The interpreter’s role and performance in interpreting-facilitated interactions have attracted considerable scholarly attention since the 1970s. Seminal field research on interpreting in courtrooms, in hospitals, and in war zones describe interpreters as active participants. Nevertheless, Hale (2006) and Pöchhacker (2006) critique that much data-driven research in the area suffers from a lack of theoretical conceptualisations, and is short of diversified sociocultural and linguistic contexts for investigation. To strengthen the theoretical background to research on interpreters’ role, this study draws on social psychology theories of social identity and optimal distinctiveness, and the sociolinguistic notion of face, to develop an interdisciplinary framework for conceptualising how identity claims may influence interpreters’ choice of linguistic strategies in delivery. The English-Mandarin political press conference interpreting context is examined to illustrate how the proposed framework may shed light on our understanding of interpreters’ behaviour in action.
Identi cation of RASSF1A Promoter Hypermethylation as a Biomarker for Hepatocellular Carcinoma

Gang Xu Peking Union Medical College Hospital Xiaoxiang Zhou Peking Union Medical College Hospital Jiali Xing Peking Union Medical College Hospital Yao Xiao Peking Union Medical College Hospital Bao Jin Peking Union Medical College Hospital Lejia Sun Peking Union Medical College Hospital Huayu Yang Peking Union Medical College Hospital Shunda Du Peking Union Medical College Hospital Haifeng Xu Peking Union Medical College Hospital Yilei Mao (  pumch-liver@hotmail.com ) Peking Union Medical College Hospital https://orcid.org/0000-0002-9077-4215
Comportement asymptotique des pôles d'approximants rationnels et méromorphes : application aux problèmes inverses du Laplacien 2D

Il s’agit d’etudier un probleme classique du controle non destructif : la detection d’une fissure a l’interieur d’une structure, a l’aide de donnees sur le bord exterieur de l’objet etudie. L’approche reside en une reformulation du probleme 2D, sous la forme d’un probleme d’approximation rationnelle. Pour cela, on se dote de donnees harmoniques (thermiques, electrostatiques…) mesurees sur le bord. En utilisant le lien (desormais classique) entre la theorie des fonctions harmoniques et l’analyse complexe, on construira sur le bord de l’objet une fonction ƒ a partir de donnees mesurees de type Dirichlet-Neumann (par exemple : la temperature d’une part, et le flux de chaleur a travers la frontiere d’autre part). Une fois cette fonction ƒ construite sur le bord, nous montrerons que celle-ci est la trace sur celui-ci d’une fonction analytique dans toute la structure, sauf sur la fissure (que l’on supposera isolante pour les quantites considerees). Nous verrons alors comment obtenir une information sur la presence et la localisation de la fissure par une etude des meilleurs approximants rationnels ou meromorphes (selon certaines normes) de la fonction ƒ. Plus particulierement, nous verrons comment l’etude des approximants meromorphes pour la norme L∞ (methode d’Adamjan-Arov-Krein) et les approximants rationnels pour la norme L puissance 2 se ramene a l’etude d’une relation particuliere : une equation d’orthogonalite dite « non hermitienne ».
Eosinophil cationic protein: A new diagnostic biomarker in coronary slow flow phenomenon.

AIM This study has investigated the role of eosinophil cationic protein (ECP), released by eosinophils, in the coronary slow flow phenomenon. METHODS This study included sixty patients with coronary slow flow (CSF) and sixty patients with normal coronary flow. The coronary flow rate was evaluated with TIMI frame count (TFC). ECP level, blood count and biochemical parameters were assessed. RESULTS The ECP levels (18.9±7.5 vs 13.1±6.4 ng/ml, p<0.001) and eosinophil counts (0.25±0.14 vs 0.18±0.09 10³/mm³, p=0.001) were higher in the CSF group. Multivariable regression analysis showed that ECP level and eosinophil counts were independent predictors the presence of CSF (p=0.003 and p=0.006). There was a weak but important correlation among the ECP level, eosinophil count and mean TFC (p=0.001, p=0.003, respectively). The ROC analysis showed a cut off value of 14.05 ng/ml for ECP level to diagnose CSF with 73.3 % sensitivity and 66.7 % specificity, and area under the ROC curve was 0.745 (95% CI: 0.657-0.833, p<0.001). CONCLUSION ECP levels were increased in CSF patients and this increasing correlated with coronary artery flow rates. The ECP level was independent predictor for the presence of SCF and it may be use as suitable diagnostic biomarker for CSF (Tab. 3, Fig. 3, Ref. 30).
Coating Process for MEMS Based 3-axis Force Sensors

The present paper discusses an experimental procedure for designing a suitable coating for Microelectromechanical systems (MEMs) based 3-axis force sensors. Several coating shapes, sizes and materials were tested. The coated sensors were calibrated and tested in order to characterize the effect of the coating on the sensor characteristics such as measurement dynamic range and resolution, the linearity of the response, as well as the impulse response of the system. Finally guidelines for optimal coating of the sensor are proposed. Keywords–force; sensor; MEMs; protection; coating
CMAR_A_272795 9259..9269

1Department of Urology, Peking Union Medical College Hospital, Peking Union Medical College, Chinese Academy of Medical Sciences, Beijing 100730, People’s Republic of China; 2Department of Urology, Beijing Friendship Hospital, Capital Medical University, Beijing 100050, People’s Republic of China Background: This study aimed to predict and explore the possible clinical value and mechanism of genetic markers in prostate cancer (PCa) using a bioinformatics analysis method. Materials and Methods: The RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) database to identify the differentially expressed genes (DEGs). The hub genes were screened by building protein–protein interaction (PPI) subnetworks with four topological analysis methods. The overall survival analysis of hub genes was conducted using Kaplan–Meier curves. Furthermore, the bioinformatics results were confirmed in 102 PCa samples collected in our hospital. Gene Set Enrichment Analysis (GSEA) was performed to provide information about the molecular mechanisms underlying PCa. Results: Among 13 hub genes, the high expression of GTSE1 or KIF18B was associated with worse overall survival according to the TCGA samples. Immunoreactive scores for GTSE1 staining were significantly higher in PCa tissues than in paracancerous tissues (P<0.01). The overall survival time of patients with high GTSE1 expression was shorter than that of patients with low GTSE1 expression (P=0.015). GSEA demonstrated that high GTSE1 expression was mainly enriched in the cell cycle (P<0.001), DNA replication (P<0.001), mismatch repair (P<0.001), and p53 signaling pathway (P<0.001). Conclusion: GTSE1 expression was significantly high in PCa and associated with poor prognosis. GTSE1 may serve as a potential biomarker and therapeutic target in PCa patients.
Accuracy of portable human glucose meter (Accu-chek® Performa) for blood glucose measurement in newborn piglets

Blood glucose concentration is a significant postnatal survival indicator in newborn piglets. The standard procedure is difficult to perform under field conditions and requires a long period of time for processing. Portable glucose meters have been invented to yield a faster result and utilize a small blood sample. The present study aims to compare glucose concentration mea s u r ed using a portable human glucose meter ( Accuchek® Performa) with the standard protocol. A total of 200 blood samples were collected from the umbilical cord of newborn piglets and were measured using the portable human glucose meter immediately after birth. Serum was extracted from the blood sample and was also analysed using the glucose oxidase method. Both methods were compared for each sample and were analysed for agreement between the two methods. The average blood glucose concentrations in neonatal piglets were 49.1 ± 23.7 and 49.2 ± 23.7 mg/dl, with the 95% confidence intervals between 45.8 and 52.4 mg/dl and 45.9 and 52.9 mg/dl for the portable blood glucose meter and the glucose oxidase technique, respectively. The blood glucose concentrations determined using the two methods highly correlated (r = 0.839, P < 0.001) . The statistical test used to determine the agreement between the two methods indicated that 96. 5% of the difference in blood glucose concentration between the two methods was within the mean ± ( 2×standard deviation) , indicating good agreement between the two methods. In conclusion, a portable human glucose meter can be used to determine blood glucose concentration in neonatal piglets.
PREVALENT PH CONTROLS THE CAPACITY OF GALDIERIA MAXIMA TO USE AMMONIA AND NITRATE AS A NITROGEN SOURCE

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