Miracle-dz/UniFAR-FTUs huggingface dataset:
50-bp insertion/deletion polymorphism of the superoxide dismutase-1 is associated with bladder cancer risk in an Iranian population

Abstract Bladder cancer (BC) is considered the sixth prevalent malignancy in men and the ninth leading cause of malignancy-related worldwide. Superoxide dismutase (SOD) is an antioxidant enzyme in the defense system against oxidative stress. Hence, we aimed to investigate whether the 50 bp Insertion/Deletion(Ins/Del) polymorphism of the SOD1 associated with the risk of BC. The study was conducted on 158 BC patients and 153 age-matched healthy subjects. Genomic DNA from all individuals was screened for the 50-bp SOD1 promoter deletion using PCR assay. Our results demonstrated an association between SOD1 Ins/Del (45% vs. 32%) genotype and risk of BC and this genotype elevated the susceptibility to BC (OR = 1.80, 95% CI: (1.10–2.90), P = 0.01). In addition, the Del allele of the SOD1 variation was detected to be more prevalent in the BC patients with the frequency of 28% and 20% in cases and healthy groups, correspondingly (OR = 1.61, 95% CI: (1.10–2.36), P = 0.01). It seems that SOD1 50-bp Ins/Del genotype, as well as Del, allele, is associated with an increased risk of BC in an Iranian population. However, further investigations in more diverse populations are necessary to assess the value of the novel biomarkers as a risk stratification biomarker for BC.
Consumption and Production of User-Generated Content, Credibility, and Political Participation

ABSTRACT This study examines how journalistic credibility and consumption of user-generated content (UGC) are related to political participation. Data from a national online survey shows two main pathways. One concerns traditional communicative pathways involving professional journalism credibility, traditional news use, and interpersonal political discussion. The other concerns citizen journalism credibility and UGC consumption and production on citizen news websites. Thus, while traditional political communication continues to play a role in political participation, citizen journalism practice presents unique opportunities for citizens to engage in politics.
Bringing older consumers onboard to online banking: a generational cohort comparison

ABSTRACT Though online banking has become more pervasive in U.S. society, little research has examined how different generational cohorts perceive and use online banking. This study examines differences in online banking perceptions and intentions across three generational cohorts in the U.S.: Silent and G.I. generation (SGI) (born 1945 or earlier), older Boomers (1946–1954), and Millennials (1977–1992). Guided by the Technology Acceptance Model and Protection Motivation Theory, it tests a model that identifies factors that influence each generation’s acceptance and use of online banking. An online survey of 558 U.S. MTurk workers within three generational cohorts provided data for this study. Findings showed that coping appraisals (i.e., coping self-efficacy and response efficacy) were positive predictors of online banking intentions via reduced barrier perceptions and increased trust perceptions for all ages. Nevertheless, threat appraisals were not negative predictors of online banking intentions via any online banking perceptions. Results also identified generational differences by showing that coping appraisals only increased online banking intentions via enhanced benefit perceptions for Boomers and Millennials, not SGIs. Furthermore, benefit perceptions mattered most to Millennials, followed by Boomers, and did not influence online banking intentions for SGIs. Trust mattered most to SGIs, followed by Boomers, and did not matter to Millennials. This study contributes to our understanding of factors that can help bring older consumers onboard with online banking compared to younger consumers.
Improving practice patterns in patients with newly diagnosed bladder masses treated with transurethral resection

Abstract Context Transurethral resection (TUR) is the mainstay for diagnosis, staging, and treatment of both high-grade and low-grade nonmuscle invasive bladder cancer (NMIBC). It is reported that 51% of initial transurethral resection of bladder tumors (iTURBT) does not contain muscle, which results in higher rates of clinical upstaging on repeat transurethral resection (reTUR) and worse oncologic outcomes. Presence of muscle on iTURBT specimen and performing reTUR within 6 weeks in high-risk NMIBC aids in accurate staging and, therefore, guides proper treatment. Objectives This study aimed to assess and improve TURBT quality by making surgeons aware of their practice patterns and setting improvement goals. Methods Patients who received TURBT for a newly diagnosed bladder mass were analyzed by retrospective chart review for 9 months prior to quality improvement (QI) intervention. Data were collected pertaining to muscle presence/absence on biopsy, pathology of the tumor, risk stratification, whether reTUR was indicated, and time to reTUR. The primary endpoints were the presence of muscle on initial TURBT, whether a reTUR was performed when clinically indicated, and time to reTUR. Tumors requiring reTUR were defined as being HGT1 or HGTa >3 cm. The QI intervention, physician education, was then implemented by presenting initial performance results to the physicians, and a second dataset was then collected by prospective analysis for another 9 months to assess for changes in practice patterns. A total of 101 patients receiving TURBT were reviewed, including 52 patients prior to and 49 patients following QI intervention. Patients with a history of, or treatment for, bladder cancer were excluded, along with those without assessment of muscle on pathological analysis. Fisher’s exact test was utilized to determine differences in categorical data by comparing each of the following groups prior to and following QI intervention: percent of muscle presence on iTURBT, percent reTUR performed when indicated, and mean time to reTUR in days. A p<0.05 was considered statistically significant. Results After comparing the TURBT results before and after our QI intervention, we found a significant improvement in the number of patients receiving a reTUR when indicated, with 5/13 (38.5%) before compared to 15/19 (78.9%) after, p=0.03. The number of specimens on iTURBT with muscle present were not significantly different, with 38/52 (73.1%) before and 33/49 (67.3%) after, p=0.66. The average time to reTUR before (32.4 days; n=5; range, 21–50 days) and after (42.4 days; n=15; range, 11–77 days) QI intervention was also not significantly different, p=0.28. Conclusions Our data suggest that critical analysis of physician practice patterns followed by education and setting improvement goals can significantly impact clinical practices and improve quality of care. Future studies will be performed to determine the impact that these changes have on oncologic outcomes.
Dispersion of Mobile Robots

In this tutorial, we provide an extensive survey of the work on dispersion of mobile robots, introduced by Augustine and Moses Jr. [ICDCN 2018]. The problem of dispersion of k robots, initially arbitrarily placed on the nodes of an n node graph, requires the robots to autonomously move around to reach a configuration such that there are at most ⌈k/n⌉ robots on each node. Typically, the metrics used to gauge solutions to this problem are the time until dispersion is achieved and the memory requirement per robot. Although this problem was introduced recently, much work has been done on it in the setting it was originally introduced in, as well as extensions to new settings. We will provide an overview of the techniques and results until now as well as possible future work. Our presentation will be in two parts. In the first part, we will present the foundations of the dispersion problem and some fundamental results. In the second part, we discuss various extensions to different settings and recent developments.
Model of Planned Behavior and Social Cognitive to Predict Financial Auditor Acceptance on Technology in Industry 4.0 Era

Industry 4.0 has penetrated all areas of the economy and business, including accounting and auditing. Auditors must adapt to this change of work environment, relying on manual audit techniques and using technology. In addition, technology can also help lighten the workload of auditors while making their work more effective and efficient. Our research analyzes the factors that cause auditors to accept technology from planned behavior and social cognitive theory. We construct exogenous and endogenous constructs based on these two grand theories. The structural equation modeling partial least square method was used in this quantitative analysis. We use statistical software, SMART PLS 3, to conduct data analysis. Our study uses primary data obtained from distributing questionnaires to auditors in public accounting firms. According to our findings, normative belief and motivation influence subjective norms. Control belief and perceived power affect perceived behavioral control. Prior experience affects self-efficacy. The auditor's intention to embrace technology is greatly influenced by subjective norms perceived behavioral control and self-efficacy. On the other hand, behavioral belief has no substantial effect on attitude, and attitude has no significant effect on the auditor's intention to accept technology.
Users' Willingness to Provide Information Requirements for Systems Development

Eliciting information requirements from users is critical to timely and successful development of information systems. Despite its importance, however, users may not always be willing to cooperate during the requirements gathering process because sharing the required information may be perceived by them as detrimental to their self-interests. In the present research we investigate users' willingness to provide requirements using the Theory of Planned Behavior, ethics, and anticipated regret. We develop and test a model that draws from these three theories. Data were collected from a sample of 130 respondents and analyzed using multiple regression analysis. Results support our hypotheses that behavioral considerations, ethical considerations, and anticipated regret influence users' willingness to provide information requirements. We discuss theoretical and practical contributions of our findings and implications for future research.
Knowledge Accumulation in Design Science Research

Design science research (DSR) is increasingly prominent in the information systems discipline. However, despite a lively discourse, and methodical and conceptual advances notwithstanding, DSR contributions are rarely cumulative and mostly remain isolated. This lack of cumulative research impedes scientific progress and practical impact. Our goal in this paper is to help establish a cumulative tradition in DSR by proposing (1) a general, consensus-oriented, evolutionary process model of scientific progress based on a synthesis of different streams in the philosophy of science, (2) quality criteria for DSR contributions corresponding to the individual steps in the process model, (3) actions that the IS community as a whole can take to facilitate adherence to these quality criteria. We expect that our work can pave the way towards developing a more cumulative research tradition in DSR and thereby foster genuine scientific progress in the field.
Stock Market Return and Household Financial Investments

The purpose of this study project was to explore the link between household investment and stock market fluctuations in the United States. The research's aims are to identify the relationship between household investment and the stock market index in the United States, as well as to establish the direction of the relationship between household investment and the stock market index in the United States. Multiple linear regression analysis was performed to capture the influence and direction of the connection. The findings revealed that while household income has a positive but modest influence on stock market performance, and there is positive statistically significant impact on the household investment, according to the study. The evidence for the finding revealed a bidirectional link between the investment by the households and the stock market index.
Understanding the Robustness in Phoneme Production Mechanism in English and Bengali

Hidden Markov Modeling (HMM) is one of the most popular methods for speech recognition due to its capability to exploit the inherent speech production mechanism. However, the presence of noise in speech makes it difficult to model the phonemes. The accuracy of different phoneme models varies due to their production mechanism & often does not behave uniformly. In this paper, we model English & Bengali phonemes using ergodic (EHMM) & left to right (L2R HMM) HMMs in different background noise scenarios, with an aim to understand the degradation pattern of the phoneme models across models & background noise. Babble & car noise were used at different SNR levels for validating modeling accuracy at different scenarios. Results show that a few phonemes behave in a more uniform manner compared to the other phonemes. This may be attributed to the robustness of the phonemes due to their structural cues in presence of different background noise.
Transformational IT Leaders and Digital Innovation

Does formal IT governance encourage innovation in the traditional domains of the IT function at the expense of new forms of "digital" innovation? We report on a study of 158 IT managers and leaders to understand the conditions under which transformational IT leadership can drive innovation in traditional forms of IT, as well as in the emerging "digital" domain. We find that highly formal IT governance practices can reduce ability of transformational IT managers and leaders to innovate in both domains, and this effect is greater for digital innovation. In stable cultures the moderation effect was strengthened, while insignificant in change cultures. We distinguish between IT innovation and digital innovation and operationalize this distinction, finding that in contexts with stability culture, the moderation is stronger for digital innovation than for traditional IT innovation.
Prodrug-Activating Chain Exchange (PACE) converts targeted prodrug derivatives to functional bi- or multispecific antibodies

Abstract Driven by the potential to broaden the target space of conventional monospecific antibodies, the field of multi-specific antibody derivatives is growing rapidly. The production and screening of these artificial proteins entails a high combinatorial complexity. Antibody-domain exchange was previously shown to be a versatile strategy to produce bispecific antibodies in a robust and efficient manner. Here, we show that the domain exchange reaction to generate hybrid antibodies also functions under physiological conditions. Accordingly, we modified the exchange partners for use in therapeutic applications, in which two inactive prodrugs convert into a product with additional functionalities. We exemplarily show the feasibility for generating active T cell bispecific antibodies from two inactive prodrugs, which per se do not activate T cells alone. The two complementary prodrugs harbor antigen-targeting Fabs and non-functional anti-CD3 Fvs fused to IgG-CH3 domains engineered to drive chain-exchange reactions between them. Importantly, Prodrug-Activating Chain Exchange (PACE) could be an attractive option to conditionally activate therapeutics at the target site. Several examples are provided that demonstrate the efficacy of PACE as a new principle of cancer immunotherapy in vitro and in a human xenograft model.
Promoting Sustainability Through Multimodal Storytelling

Abstract In recent years, sustainability has been increasingly recognized within the early childhood education and care (ECEC) context. Early childhood educators’ capacities to design meaningful learning opportunities for young children have been underlined. The article reports on a study of student teachers’ learning during a project about multimodal storytelling and sustainability in ECEC teacher education. The study explores how multi-modal storytelling might contribute to the capacity to conduct education for sustainability in the context of ECEC. The participants were first-year student teachers at a Finnish university. The results show that multimodal storytelling can contribute to addressing challenging issues linked to sustainability through holistic learning processes. Hereby, multimodal storytelling opens for the exploration of existential issues and complex aspects of sustainability education. It contributes to the reflection and discussion of values, knowledge and skills that are vital for the capacity to conduct sustainability education in the early childhood.
On Resultative Verb Compounds in Cantonese and Mandarin

Abstract This paper conducts a comparative study on the resultative verb compounds (RVCs) in Cantonese and Mandarin with an aim to reveal and explain the rules governing the use of RVCs in Cantonese. Mandarin RVCs are classified into six types in terms of the number, the sequence, and the event role of the argument(s). While Mandarin RVCs are found to be rather productive in expressing resultatives, there are syntactic constraints imposed on the use of RVC construction in Cantonese. Given that Mandarin RVCs are often restricted in Cantonese, three substitutive constructions that are used to form resultatives have been introduced, namely V-dou3 constructions, V-dou3 in verb-copying construction, and causative construction formed with gaau2-dou3 ‘cause’. Factors that determine the corresponding structures used in Cantonese have been discussed. Claiming that the expressions of Cantonese resultatives should be highly associated with the event roles the involved NP arguments play, we demonstrate that such a classification of RVCs has contributed to the conclusion proposed in this paper. We also propose a set of linking rules which are designated for resultatives in Cantonese. It is hoped that this study sheds light on the syntax studies of Chinese.
Staple line reinforcement with nebulized cyanoacrylate glue in laparoscopic sleeve gastrectomy: A propensity score-matched study

Abstract Background A dreaded complication of laparoscopic sleeve gastrectomy (LSG) is suture leak. The study aimed to assess the efficacy of the nebulized comonomer Glubran 2® (N-butyl-cyanoacrylate + metacrylosysolfolane) applied to the LSG staple line. Methods A propensity-matched comparison analysis was conducted in 125 patients undergoing LSG between 2017 and 2019. Groups included those treated with Glubran® (group 1, n = 70) and those without Glubran® treatment (group 2, n = 55). Results There were differences in the mean body mass index (44.4 vs 43 kg/m2; P < 0.05) between the groups. There was a non-significant increase in the operative time for group 1 compared with group 2 (97 ± 8 vs 93.8 ± 10.7 min; P = 0.07), with a greater amount of estimated blood loss (94.5 mL vs 87.8; P < 0.01). There were more severe complications in group 2 over group 1 cases (8 vs 0%; P < 0.05), although postoperative bleeding did not differ between the two groups (1.4 vs 5.4%). There were no postoperative leaks in group 1 patients, but there were two leaks in group 2 cases with an increased length of hospital stay in patients with a leak. Conclusion Glubran® LSG support may reduce leak risk without increasing operating time.
Deep learning based on multi-omics integration identifies potential therapeutic targets in breast cancer

Effective and precise classification of breast cancer patients for their disease risks is critical to improve early diagnosis and patient survival. In the recent past, a significant amount of multi-omics data derived from cancer patients has emerged. However, a robust framework for integrating multi-omics data to subgroup cancer patients and predict survival prognosis is still lacking. In addition, effective therapeutic targets for treating breast cancer patients with poor prognoses are in dire need. To begin to resolve this difficulty, we developed and optimized a sophisticated deep learning-based model in breast cancer that can accurately stratify patients based on their prognosis. We built a survival-associated predictive framework integrating transcription profile, miRNA expression, somatic mutations, copy number variation, DNA methylation and protein expression. This framework achieved promising performance in distinguishing high-risk breast cancer patients from those with good prognoses. Furthermore, we constructed multiple fully connected neural networks that are trained on prioritized multi-omics signatures or even only potential single-omics signatures, based on our customized scoring system. Together, the landmark multi-omics signatures we identified may serve as potential therapeutic targets in breast cancer.
Heterosis and Combining Ability in Pumpkin Inbreds (Cucurbita moschata Duch. ex Poir.)

Twenty hybrids along with five parents evaluated in the study were mainly contemplated to find out the best cross combinations and the best general and specific combiners as well as to estimate the nature and magnitude of the gene action for different qualitative traits. Using Griffing’s and Hayman’s approach through a 5 × 5 full diallel cross fashion, an investigation on heterosis and combining ability in pumpkin was undertaken following RCBD design with three replications at the experimental field. Both positive and negative significant GCA and SCA variances were obtained from few parents and hybrids. Predominance of additive-additive gene action was noted for most of the characters except hollowness and dry matter content, where additive-dominance gene action was predominant; flesh thickness and brix (%), where dominance-dominance gene action were predominant. A single parent was not found as good combiner for more than two characters. The best specific combiners were IBD 40 X IBD 47 for beta carotene, total sugar and fruit yield; IBD23 X IBD40 for brix (%), hollowness and flesh thickness; IBD40 X IBD57 for fruit breadth; IBD47 X IBD50 for non reducing sugar; and IBD47 X IBD57 for reducing sugar. The Vr-Wr graphs exhibited complete, partial and over dominance effect of genes for different characters. Complete dominance was observed only for beta carotene whereas over dominance was noticed for hollowness and flesh thickness. Partial dominance was ensured for fruit breadth, dry matter, brix (%), reducing sugar, non-reducing sugar, total sugar and fruit yield. Significant heterosis of some crosses against mid parent and better parents were observed for some characters.