Miracle-dz/UniFAR-FTUs huggingface dataset:
Therapeutic Targeting of CDK7 Suppresses Tumor Progression in Intrahepatic Cholangiocarcinoma

Intrahepatic cholangiocarcinoma (ICC) is a lethal malignancy with high mortality and lack of effective therapeutic targets. Here, we found that expression of cyclin-dependent kinase 7 (CDK7) was significantly associated with higher tumor grade and worse prognosis in 96 ICC specimens. Depletion of CDK7 significantly inhibited cell growth, induced a G2/M cell cycle arrest, and reduced the migratory and invasive potential in ICC cells. Subsequent experiments demonstrated that ICC cells were highly sensitive to the CDK7 inhibitor THZ1. A low concentration of THZ1 markedly inhibited cell growth, cell cycle, migration, and invasion in ICC cell lines. RNA-sequencing (RNA-seq) analysis revealed that THZ1 treatment decreased the levels of massive oncogene transcripts, particularly those associated with cell cycle and cell migration. Quantitative reverse transcriptase PCR (qRT-PCR) analysis confirmed that transcription of oncogenes involved in cell cycle regulation (AURKA, AURKB, CDC25B, CDK1, CCNA2, and MKI67) and the c-Met pathway (c-Met, AKT1, PTK2, CRK, PDPK1, and ARF6) was selectively repressed by THZ1. In addition, THZ1 exhibited significant anti-tumor activity in a patient-derived xenograft (PDX) model of ICC, without causing detectable side effects.
A sequential approach in forecasting the S&P500 index: Combining Genetic Algorithm and Random Forests

Stock Market due to its noisy , non-stationary , and deterministically chaotic features, gained a lot of Machine Learning (ML) community attention. In this thesis we propose to investigate the predictability of the S&P500 index by developing an expert system. Based on the forecasted behaviour, we aim at establishing a proﬁtable trading strategy, achieving daily proﬁts with low risk associated. The suggested system uses a novel approach based on the ensemble of a feature selection method, a Genetic Algorithm (GA), with a Machine Learning (ML) algorithm, more precisely, a Random Forest (RAF) learner. This system uses daily prices and volume together with an user’s speciﬁc set of technical indicators as input. Firstly, a GA approach will be used to select the technical indicators’ computation parameters and to elect from the initial group of technical indicators those which will retrieve useful information from historical stock data, thus reducing the number of features but still preserving the stock data’s fundamentals. Then, through the usage of the selected technical indicators coupled with the daily stock information, a RAF learner will try to emit a forecast of the market’s behaviour, which will be evaluated so that the trader can endorse a wise market position. At last an evaluation is carried to understand if the objectives we set ourselves can be fulﬁlled. The proposed approach is tested with daily data from ﬁve ﬁnancial markets with diﬀerent inherent characteristics, from the 27 th of April of 2016 until the 15 th of March of 2018.
Advancing Qualitative IS Research Methodologies: Expanding Horizons and Seeking New Paths

Her research interests include qualitative, critical, sociomaterial and process-oriented research that contributes to deeper insights into and understanding of IS phenomena and their social and ethical consequences in organizational and broader societal contexts. Her papers have been published in leading IS journals and conferences. She has served on many editorial boards and is currently senior editor of Journal of Association of Information Systems , Information Systems Journal , and Information & Organization . She is a Senior Scholar and a Fellow of the Association for Information Systems.
Does your code need comment?

Code comments convey information about the programmers' intention in a more explicit but less rigorous manner than source code. This information can assist programmers in various tasks, such as code comprehension, reuse, and maintenance. To better understand the properties of the comments existing in the source code, we analyzed more than 450 000 comments across 136 popular open‐source software systems coming different domains. We found that the methods involving header comments and internal comments were shown low percentages in software systems, ie, 4.4% and 10.27%, respectively. As an application of our findings, we propose an automatic approach to determine whether a method needs a header comment, known as commenting necessity identification. Specifically, we identify the important factors for determining the commenting necessity of a method and extract them as structural features, syntactic features, and textual features. Then, by applying machine learning techniques and noise‐handling techniques, we achieve a precision of 88.5% on eight open‐source software from GitHub. The encouraging experimental results demonstrate the feasibility and effectiveness of our approach.
Rational Altruism? On Preference Estimation and Dictator Game Experiments

Abstract Experimental implementations of dictator games are found to differ in terms of their underlying strategic incentives. We explore this discovery in two separate directions. Theoretically, assuming identical other-regarding preferences, we show that the two most widely used protocols can generate strongly contrasting rational-choice predictions, from which different interpretations of dictator giving arise. Experimentally, a tailor-made experiment reveals significant differences between the two protocols but rejects full rationality as a satisfactory explanatory theory. Our findings indicate that several previously drawn conclusions regarding other-regarding preferences among humans distinguished by social class, gender, generation, nationality, etc. may be more ambiguous than hitherto believed.
Developing Theory Through Integrating Human and Machine Pattern Recognition

New forms of digital trace data are becoming ubiquitous. Traditional methods of qualitative research that aim at developing theory, however, are often overwhelmed by the sheer volume of such data. To remedy this situation, qualitative researchers can engage not only with digital traces, but also with computational tools that are increasingly able to model digital trace data in ways that support the process of developing theory. To facilitate such research, this paper crafts a research design framework based on the philosophical tradition of pragmatism, which provides intellectual tools for dealing with multifaceted digital trace data, and offers an abductive analysis approach suitable for leveraging both human and machine pattern recognition. This framework provides opportunities for researchers to engage with digital traces and computational tools in a way that is sensitive to qualitative researchers’ concerns about theory development. The paper concludes by showing how this framework puts human imaginative capacities at the center of the push for qualitative researchers to engage with computational tools and digital traces.
Clinical factors related to severe enterocolitis after adjuvant CAPOX for colorectal cancer: a retrospective analysis

Background CAPOX regimen is a standard option in stage III adjuvant colon cancer. Gastrointestinal toxicity is well described with fluoropyrimidine regimens and can be life-threatening. Identification of risk factors associated with severe gastrointestinal toxicity may help clinicians when choosing the adjuvant regimen. Materials and Methods We retrospectively analysed 61 patients treated with adjuvant CAPOX. Our primary objective was to estimate the incidence of severe chemotherapy-induced enterocolitis among patients treated with CAPOX. A secondary objective was to describe the main demographic and clinical characteristics of these patients. A univariate logistic regression was performed to estimate the odds ratio (OR) with a 95% CI to identify a predictor for severe enterocolitis. Results Grade 3 diarrhoea was reported in 10 patients (16.3%). Admissions to hospital due to toxicity occurred in nine cases. Reasons for hospitalisation were severe enterocolitis in eight cases (13.1%) and rectal bleeding plus thrombocytopenia in one case. Age > 70 years (OR 9.6; 95% CI 1.81–50.6; p = 0.008), primary surgery involving right/transverse colon (OR 16.8; 95% CI 2.88–98.8; p = 0.002) and Angiotensin II Receptor Blocker (ARB) use (OR 8.14; 95% CI 1.64–40.3; p = 0.010) were associated with severe enterocolitis. Conclusion Our data showed that adjuvant CAPOX induced severe enterocolitis in 13.1% of patients. In addition, we found that advanced age, right colectomy and concurrent use of ARB were statistically associated with these events. Awareness of these factors could be easily incorporated into the treatment decision and patient orientation.
ICT enabled blended micro-course for secondary school mathematics teachers: A large scale design experiment

: In this paper, we illustrate the findings from a design experiment conducted for an ICT enabled micro-course for large scale implementation to address high school mathematics teachers' teaching of geometry. In the paper, we have described the theoretical principles of the design of a micro course for teachers which includes implementing a student module developed for teaching geometrical reasoning at high school level. The 11-week course involves integration of ICT in teaching mathematics as well as using ICT to engage in professional development through the micro-course. The preliminary findings of running the course in three states have been reported indicating the challenges faced in implementing the ICT based course for teachers at scale along with the insights gained for refining the theoretical assumptions based on which the course was designed.
Performing the Digital Self

Expressions of territoriality have been positioned as one of the main reasons users alter their behaviors and perceptions of spatiality and sociality while engaging with location-based social networks (LBSN). Despite the potential for this interplay to further our understanding of LBSN usage in the context of identity, very little work has actually been done toward this. Addressing this gap in the literature is one of the chief aims of the article. Drawing on an original 6-week study with 42 participants utilizing a bespoke LBSN entitled “GeoMoments,” our research explores the following: (1) the way that territoriality is linked to self-identity; and (2) how this interplay affects the interactions between users as well as the environments they inhabit. Our findings suggest that participants affirmed their self-identity by selectively posting and claiming ownership of their neighborhood through the LBSN. Here, the locative decisions are made related to risk, hierarchies, and the users’ relationship to the area. This practice then led participants to discover and interact with the digital information overlaying their physical environments in a playful manner. These interactions demonstrate the perceived power structures that are facilitated by identity claims over a virtual area. In the main, our results reaffirm that territoriality is a central concept in understanding LBSN use, while also drawing attention to the temporality involved in user-to-user and user-to-place interactions pertaining to physical place mediated by LBSN.
Effect and Analysis of Clinical Efficacy of Immunomodulator on Serum Levels of IL-4 and IFN-γ in Asthmatic Children

【Objective】 To investigate the effect and clinical efficacy of immunomodulator on serum Th1 / Th2 cytokines in asthmatic children. 【Methods】 Forty-five children of asthma at acute stage were enrolled and divided into two groups. Twenty-nine cases took bacterial lysates (Broncho-Vaxom, BV) in treatment group / BV group. Sixteen cases were given the same amount of inhaled corticosteroids (ICS) for treatment in control group / ICS group. Blood samples of all patients were drawn before and 12 months after treatment to detect the serum IL-4 and IFN-γ and total plasma IgE levels, and their lung functions were measured as well. All of them were followed up for one year. 【Results】 The frequencies of emergency visiting for asthma attack and respiratory tract infection in treatment group were (1.32 ± 1.03) and (1.32 ± 1.03) respectively, while in control group the frequencies were (2.17 ± 1.52) and (3.78 ± 1.81) respectively. The differences between the two groups had statistical significance (P 0.05). The frequencies of respiratory tract infection were positively correlated with that of asthma relapse in both groups (P 0.01). IgE levels did not decrease obviously in both groups after treatment. Serum level of IL-4 did not change but IFN-γ increased obviously in treatment group. In control group, serum level of IL-4 decreased and IFN-γ increased. The ratios of IFN-γ / IL-4 in both groups increased obviously compared with that before treatment and the differences had statistical significance (P 0.05). The ratios of IFN-γ / IL-4 before and after treatment in both groups had no statistical significances (P 0.05). The lung function index in treatment group was better than that in control group (P 0.05). 【Conclusions】 Broncho-Vaxom not only enhances the specific and non-specific immune defense function of respiratory tract, reduces the risk factors of inducing asthma, corrects the expression migration of Th1/Th2 type cytokines, but also regulates the immune abnormality of asthmatic children.
A BLSTM Guided Unit Selection Synthesis System for Blizzard Challenge 2016

The paper introduces the speech synthesis system developed by Institute of Automation, Chinese Academy of Sciences (CASIA) for Blizzard Challenge 2016. About 5 hours of speech data from professionally-produced children’s audiobooks is adopted as the training data for the construction this year. Different from our previous systems, the BLSTM guided unit selection and waveform concatenation approaches is selected to develop our speech synthesis using the provided corpus. We will describe our definitions of the acoustic, prosodic and linguistic parameters, procedure of candidate unit selection, components of cost function, etc. Finally, we will also present the results of the listening test conducted.
NOAA Climate and Global Change Program

Multidecadal-scale changes in atmospheric temperature have been measured by both radiosondes and the satellite-borne microwave sounding unit (MSU). Both measurement systems exhibit substantial time varying biases that need to removed to the extent possible from the raw data before they can be used to assess climate trends. A number of methods have been developed for each measurement system, leading to the creation of several homogenized datasets. In this work, we evaluate the agreement between homogenized MSU and radiosonde datasets on multi-year (predominantly 5-year) time scales and find that MSU datasets are often more similar to each other than to radiosonde datasets and vice versa. Furthermore, on these times scales the differences between MSU datasets are often not larger than published internal uncertainty estimates for the RSS product alone and therefore may not be statistically significant when the internal uncertainty in each dataset is taken into account. Given the data limitations it is concluded that using radiosondes to validate multidecadal-scale trends in MSU data, or vice versa, or trying to use such metrics alone to pick a 'winner' is an ill-conditioned approach and has limited utility without one or more of additional independent measurements, methodological, or physical analysis.
A Rare Case of Mollaret’s Meningitis Complicated by Chronic Intractable Migraine and Papilledema: Case Report and Review of Literature

Mollaret’s meningitis is characterized by recurrent episodes of aseptic meningitis that last two to seven days and resolve spontaneously without any residual neurological deficit or complication. Viruses are the most common cause of aseptic meningitis and herpes simplex virus (HSV) type 2 has been noted as the most commonly associated virus in Mollaret’s meningitis. We describe a rare case of a female who had four episodes of meningitis in a five-year period associated with chronic intractable migraine and papilledema attributed to Mollaret’s meningitis.
UpdaThing: a secure ﬁrmware update system for Internet of Things devices

The Internet of Things (IoT) has amassed interest from industry and consumers, and devices belonging to this class are being deployed at a rapid rate, to collected data that will help to solve problems in many diﬀerent domains. Man-ufacturers have to provide support to such deployments and thus have to patch the software running on these devices when a bug is found and corrected. Therefore, updating the ﬁrmware running on these devices requires a ﬁrmware update mechanism, which presents security challenges, as it can be used by malicious actors to compromise these devices in bulk. Inthis paper, we propose, implement and evaluate a ﬁrm-ware update system that is easy to deploy and easy to use, assures code authenticity (integrity and proof of origin), con-ﬁdentiality and freshness in the update process, defeating the most relevant external security threats.
ANISOTROPIC ESTIMATES OF SUBELLIPTIC TYPE ANNAMARIA MONTANARI-DANIELE MORBIDELLI

In this note we review and slightly improve some estimates of subelliptic type for a family X1, . ,Xm of smooth vector fields of Hörmander type in Rn. We mainly use the analysis of a class of approximate exponential maps appearing in some previous papers of the authors and of Ermanno Lanconelli. See [7–9, 11]. We shall formulate our estimates making use of a family of fractional Sobolev norms modeled on the subRiemannian geometry defined by X1, . ,Xm. These norms have been analyzed in [11]. Let X1, . ,Xm be a family of vector fields satisfying the Hörmander condition of step κ ∈ N in Rn. A classical estimate states that given a bounded set
Combustion initiation and extinction in a 2D chaotic flow

The evolution of a flame in a reaction–advection–diffusion combustion system in the presence of chaotic stirring by an unsteady laminar fluid flow is considered. Two distinct regimes are found as the stirring rate is increased. When the reaction is slow (or fast stirring) localised temperature perturbations decay—the flame is quenched by the flow. If the reaction is fast (or slow stirring) a localised ignition leads to a stationary flame with complex filamental structure. The width of the filaments depends on the reaction and stirring rates. This problem is investigated numerically in 2D for an open flow system formed by two alternately opened point-vortex-sinks and the results are compared with previous results [Physica D 176 (1–2) (2003) 67–81] from a 1D ‘mean-strain’ model for the transverse profile of the flame filaments. The system is studied for different Lewis and Damköhler numbers, with a critical Damköhler number being found, dependent on the Lewis number, for the transition from trivial to combustion states. A comparison between time-periodic and steady flow regimes shows that chaotic motion of the fluid elements in the unsteady flow significantly enhances the combustion. © 2003 Elsevier B.V. All rights reserved. PACS: 82.33. Vx; 82.40. Ck; 05.45. −a
Comparative Assessment of Bacteriocin Production in Free and Immobilized Lactobacillus plantarum MTCC B1746 and Lactococcus lactis MTCC B440

Two strains of Lactic acid bacteria, Lactobacillus plantarum MTCC B1746 and Lactococcus lactis MTCC B440 which produce the bacteriocins, plantaricin 1746 and nisin 440 respectively were immobilized in calcium alginate beads. The free cells of them were optimized viz., temperature and pH for maximum bacteriocin production. The bacteriocin production was maximized at 48 h at 30C and in pH 6.0 for L. plantarum; while it was at 96 h at 35C and at a pH of 7.0 for L. lactis. Both the strains showed growth stability and maximum bacteriocin production at the stationary phase of growth. Free cells cultured at the optimum culture conditions were used to compare the effect of immobilization on bacteriocin production. Bacteriocin production peaked at 1800 AUml and 1600 AUml in free and immobilized fermentation broth of L. plantarum and L. lactis respectively. A decline in bacteriocin production occurred at the middle of the fermentation with the free cells in contrast to long term stability noticed with the immobilized cells. The immobilized cells were subjected to repeated cycles of fermentation which resulted in an increased yield with increase in biomass.
Side-Channel Attacks on Everyday Applications: Distinguishing Inputs with F LUSH +R ELOAD

Side channel attacks are typically used to break implementations of cryptography. Recently, side-channel attacks are being discovered in more general settings that violate user privacy. We build on this work by showing that the F LUSH +R ELOAD L3 cache side channel from Yuval Yarom and Katrina Falkner [33] can be used to distinguish between inputs to non-cryptographic programs on multi-user systems. We describe how input-distinguishing attacks can be discovered automatically (with human assistance) and we present three concrete attacks. Our ﬁrst attack is against the Links command-line web browser. We show that an attacker can determine which of the top 100 Wikipedia pages the user visited (correct 94% of the time). Our second attack is against the Poppler PDF rendering library. We show that an attacker can determine which of a set of 127 PDFs were rendered by Poppler (correct 98% of the time). Finally, we show how an attacker can determine whether the TrueCrypt volume a user just mounted contained a hidden volume or not (correct above 80% of the time, but the attack only works on one of our two test systems).
Photonic integration for UV to IR applications

Photonic integration opens the potential to reduce size, power, and cost of applications normally relegated to table- and rack-sized systems. Today, a wide range of precision, high-end, ultra-sensitive, communication and computation, and measurement and scientific applications, including atomic clocks, quantum communications, processing, and high resolution spectroscopy, are ready to make the leap from the lab to the chip. However, many of these applications operate at wavelengths not accessible to the silicon on insulator-based silicon photonics integration platform due to absorption, power handling, unwanted nonlinearities, and other factors. Next generation photonic integration will require ultra-wideband photonic circuit platforms that scale from the ultraviolet to the infrared and that offer a rich set of linear and nonlinear circuit functions as well as low loss and high power handling capabilities. This article provides an assessment of the field in ultra-wideband photonic waveguides to bring power efficient, ultra-high performance systems to the chip-scale and enable compact transformative precision measurement, signal processing, computation, and communication techniques.Photonic integration opens the potential to reduce size, power, and cost of applications normally relegated to table- and rack-sized systems. Today, a wide range of precision, high-end, ultra-sensitive, communication and computation, and measurement and scientific applications, including atomic clocks, quantum communications, processing, and high resolution spectroscopy, are ready to make the leap from the lab to the chip. However, many of these applications operate at wavelengths not accessible to the silicon on insulator-based silicon photonics integration platform due to absorption, power handling, unwanted nonlinearities, and other factors. Next generation photonic integration will require ultra-wideband photonic circuit platforms that scale from the ultraviolet to the infrared and that offer a rich set of linear and nonlinear circuit functions as well as low loss and high power handling capabilities. This article provides an assessment of the field in ultra-wideband photonic waveguides to bring power.