Miracle-dz/UniFAR-FTUs huggingface dataset:
Hemoglobin Wayne: A Rare Variant That Can Cause Falsely Elevated Hemoglobin A1c

Hemoglobin A1c (HbA1c) can be unreliable (falsely elevated or lowered) in certain conditions, including hemoglobinopathies, anemia, lead poisoning, chronic alcoholism, and opioid use. Hemoglobin Wayne is a rare variant of hemoglobin (Hgb) that can also result in a false elevation of HbA1c. Hence, clinicians should be aware of these underlying causes before diagnosing and treating diabetes mellitus to avoid unexpected consequences. We are reporting a case of falsely elevated HbA1c in a female in her early 60s due to a rare variant of Hgb called hemoglobin Wayne. The patient presented with a consistently elevated HbA1c ranging from 10.3% to 10.7% for two years, which did not correlate with her fasting blood glucose levels ranging between 80 and 100. The continuous glucose monitoring (CGM) profile was also within the normal range. The hemoglobin electrophoresis technique was used to confirm the diagnosis of hemoglobin Wayne in this patient and the initial treatment of metformin was discontinued upon confirmation.
Design of Wideband Filtering Quadrature Coupler Consisting of Inductor-Loaded Coupled Line With Three-Coupled-Lines

In this brief, the design of a wideband filtering quadrature coupler is presented. It is composed of an inductor-loaded coupled line (I-CL), two open-ended stubs, four short-ended stepped impedance resonators, and four three- coupled-lines (TCLs). Wideband operation with three resonant points is generated by using the I-CL with the TCLs. Due to the utilization of short-ended resonators combined with the open stubs, wide stopband is also obtained. Design formulas are derived using the even-odd decomposition technique and optimization process is given for guidance. For demonstration, a 3-dB prototype is designed, fabricated and measured. Measurement results show that a bandpass bandwidth (BPBW) of 43% is realized under the criterions of 15-dB return loss and isolation. While the BPBWs for 0.5-dB amplitude imbalance and 5° phase difference fluctuation are 40.3% and 48%, respectively. Besides, wide stopband extends to 2.64 ${f} _{0}$ is realized with more than 10 dB rejection level.
Intracellular Toxic Advanced Glycation End-Products May Induce Cell Death and Suppress Cardiac Fibroblasts

Cardiovascular disease (CVD) is a lifestyle-related disease (LSRD) induced by the dysfunction and cell death of cardiomyocytes. Cardiac fibroblasts are activated and differentiate in response to specific signals, such as transforming growth factor-β released from injured cardiomyocytes, and are crucial for the protection of cardiomyocytes, cardiac tissue repair, and remodeling. In contrast, cardiac fibroblasts have been shown to induce injury or death of cardiomyocytes and are implicated in the pathogenesis of diseases such as cardiac hypertrophy. We designated glyceraldehyde-derived advanced glycation end-products (AGEs) as toxic AGEs (TAGE) due to their cytotoxicity and association with LSRD. Intracellular TAGE in cardiomyocytes decreased their beating rate and induced cell death in the absence of myocardial ischemia. The TAGE levels in blood were elevated in patients with CVD and were associated with myocardial ischemia along with increased risk of atherosclerosis in vascular endothelial cells in vitro. The relationships between the dysfunction or cell death of cardiac fibroblasts and intracellular and extracellular TAGE, which are secreted from certain organs, remain unclear. We examined the cytotoxicity of intracellular TAGE by a slot blot analysis, and TAGE-modified bovine serum albumin (TAGE-BSA), a model of extracellular TAGE, in normal human cardiac fibroblasts (HCF). Intracellular TAGE induced cell death in normal HCF, whereas TAGE-BSA did not, even at aberrantly high non-physiological levels. Therefore, only intracellular TAGE induced cell death in HCF under physiological conditions, possibly inhibiting the role of HCF.
INAOE's Participation at PAN'13: Author Profiling Task Notebook for PAN at CLEF 2013

This paper describes the participation of the Laboratory of Language Technologies of INAOE at PAN 2013 evaluation lab. We adopted second order representations for facing the problem of Author Profiling (AP). This represen- tation tackles two shortcomings of the typical Bag-of-Terms: i) the sparsity and high dimensionality of document representations, and ii) the assumption of total independence between terms in documents. In order to overcome these problems the proposed representation builds document vectors in a space of the different profiles, which represent the relationships of each document with the different profiles (say, age and gender). In order to evaluate our approach, we compare the proposed representation against a standard Bag-of-Terms representation using the PAN 2013 corpus for AP. We found that the second order attributes using a low computational cost, show evidence of being useful to determine genre and age profile.
Use and Abuse of RNAi to Study Mammalian Gene Function

Realizing the full potential of si/shRNA technology requires more sophisticated approaches to address the pitfalls. For decades, scientists studying mammalian cells could only marvel at the genetic tools available to scientists who studied organisms such as yeasts or drosophila. However, many genes linked to human diseases do not have orthologs in such model organisms, or they require an appropriate cellular context to display their disease-relevant phenotypes. The wish for a facile method to disrupt gene function in somatic mammalian cells appeared to be granted with the discovery of RNA interference (RNAi) and small interfering RNA (siRNA) (or short hairpin RNA, shRNA), which brought with them great promise—particularly for discovering novel drug targets through the use of genetic screens (1–3). However, the honeymoon is now over, and although some new discoveries have been made, the yield has fallen far short of expectations. Many drug targets identified by means of si/shRNA technology in academic laboratories are not robust when tested in industrial laboratories (4, 5). Avoiding this fate requires a more sophisticated interpretation of si/shRNA results, especially in the context of high-throughput screens.
Keep the Moving Vehicle Secure: Context-Aware Intrusion Detection System for In-Vehicle CAN Bus Security

The growth of information technologies has driven the development of the transportation sector, including connected and autonomous vehicles. Due to its communication capabilities, the controller area network (CAN) is the most widely used in-vehicle communication protocol. However, CAN lacks suitable security mechanisms such as message authentication and encryption. This makes the CAN bus vulnerable to numerous cyberattacks. Not only are these attacks a threat to information security and privacy, but they can also directly affect the safety of drivers, passengers and the surrounding environment of the moving vehicles. This paper presents CAN-CID, a context-aware intrusion detection system (IDS) to detect cyberattacks on the CAN bus, which would be suitable for deployment in automobiles, including military vehicles, passenger cars and commercial vehicles, and other CAN-based applications such as aerospace, industrial automation and medical equipment. CAN-CID is an ensemble model of a gated recurrent unit (GRU) network and a time-based model. A GRU algorithm works by learning to predict the centre ID of a CAN ID sequence, and ID-based probabilistic thresholds are used to identify anomalous IDs, whereas the time-based model identifies anomalous IDs using time-based thresholds. The number of anomalies compared to the total number of IDs over an observation window is used to classify the window status as anomalous or benign. The proposed model uses only benign data for training and threshold estimation, avoiding the need to collect realistic attack data to train the algorithm. The performance of the CAN-CID model was tested against three datasets over a range of 16 attacks, including fabrication and more sophisticated masquerade attacks. The CAN-CID model achieved an F1-Score of over 99% for 13 of those attacks and outperformed benchmark models from the literature for all attacks, with near real-time detection latency.
International Conference on Computational Science , ICCS 2011 Collective Asynchronous Remote Invocation ( CARI ) : A High-Level and E ffi cient Communication API for Irregular Applications

The Message Passing Interface (MPI) standard continues to dominate the landscape of parallel computing as the de facto API for writing large-scale scientific applications. But the critics argue that it is a low-level API and harder to practice than shared memory approaches. This paper addresses the issue of programming productivity by proposing a high-level, easy-to-use, and efficient programming API that hides and segregates complex low-level message passing code from the application specific code. Our proposed API is inspired by communication patterns found in Gadget-2, which is an MPI-based parallel production code for cosmological N-body and hydrodynamic simulations. In this paper—we analyze Gadget-2 with a view to understanding what high-level Single Program Multiple Data (SPMD) communication abstractions might be developed to replace the intricate use of MPI in such an irregular application—and do so without compromising the efficiency. Our analysis revealed that the use of low-level MPI primitives—bundled with the computation code—makes Gadget-2 difficult to understand and probably hard to maintain. In addition, we found out that the original Gadget-2 code contains a small handful of—complex and recurring—patterns of message passing. We also noted that these complex patterns can be reorganized into a higherlevel communication library with some modifications to the Gadget-2 code. We present the implementation and evaluation of one such message passing pattern (or schedule) that we term Collective Asynchronous Remote Invocation (CARI). As the name suggests, CARI is a collective variant of Remote Method Invocation (RMI), which is an attractive, high-level, and established paradigm in distributed systems programming. The CARI API might be implemented in several ways—we develop and evaluate two versions of this API on a compute cluster. The performance evaluation reveals that CARI versions of the Gadget-2 code perform as well as the original Gadget-2 code but the level of abstraction is raised considerably.
Training Robust Deep Models for Time-Series Domain: Novel Algorithms and Theoretical Analysis

Despite the success of deep neural networks (DNNs) for real-world applications over time-series data such as mobile health, little is known about how to train robust DNNs for time-series domain due to its unique characteristics compared to images and text data. In this paper, we fill this gap by proposing a novel algorithmic framework referred as RObust Training for Time-Series (RO-TS) to create robust deep models for time-series classification tasks. Specifically, we formulate a min-max optimization problem over the model parameters by explicitly reasoning about the robustness criteria in terms of additive perturbations to time-series inputs measured by the global alignment kernel (GAK) based distance. We also show the generality and advantages of our formulation using the summation structure over time-series alignments by relating both GAK and dynamic time warping (DTW). This problem is an instance of a family of compositional min-max optimization problems, which are challenging and open with unclear theoretical guarantee. We propose a principled stochastic compositional alternating gradient descent ascent (SCAGDA) algorithm for this family of optimization problems. Unlike traditional methods for time-series that require approximate computation of distance measures, SCAGDA approximates the GAK based distance on-the-fly using a moving average approach. We theoretically analyze the convergence rate of SCAGDA and provide strong theoretical support for the estimation of GAK based distance. Our experiments on real-world benchmarks demonstrate that RO-TS creates more robust deep models when compared to adversarial training using prior methods that rely on data augmentation or new definitions of loss functions. We also demonstrate the importance of GAK for time-series data over the Euclidean distance.
PENGARUH MORALITAS INDIVIDU, EFEKTIVITAS PENGENDALIAN INTERNAL, KESESUAIAN KOMPENSASI DAN ASIMETRI INFORMASI TERHADAP KECURANGAN AKUNTANSI

This study aims to examine the effect of individual morality, effectiveness of internal control, suitability of compensation and information asymmetry on accounting fraud. This research was conducted using descriptive and verification methods. The population of this study were all villages in Kramatmulya District, Jalaksana District, Cigandamekar District and Cilimus District in Kuningan Regency as many as 53 villages with a total of 159 respondents. The sample used in this study were 38 villages with a total of 114 respondents using Propotional Sampling. The data collection technique used a questionnaire with data analysis tools in the form of multiple linear regression analysis. The results of this study indicate that individual morality, internal control effectiveness, compensation suitability and information asymmetry have a simultaneous effect on accounting fraud, individual morality has a significant negative effect on accounting fraud, the effectiveness of internal control has a significant negative effect on accounting fraud, compensation suitability has a significant negative effect on accounting fraud and asymmetry information has a significant positive effect on accounting fraud. Keywords: Individual Morality, Effectiveness of Internal Control, Compensation Suitability, Information Asymmetry and Accounting Fraud.
A Novel Filtering Antenna with Transversal Coupling Topology

A novel structure of filtering antennas, termed as "transversal filtering antenna" (TFA), is introduced in this paper. Different from traditional filtering antennas which employ the ladder filtering structure, TFA employs a transversal coupling topology. Compared to traditional filtering antennas in which only the final stage of the filter antenna is radiating, one important advantage of TFA is that all the resonators in TFA will be radiating simultaneously. By controlling the excitation and radiation behaviors for each radiator, filtering response can be achieved for both S parameters and antenna gain. Flexible control of bandwidth and sharp roll-off of antenna gain can be achieved by using TFA. These novel characteristics bring some very promising possibilities for filtering array antennas designs. To demonstrate the validity of this novel topology, several design examples are presented. One prototype is designed, fabricated, and measured, and the measurement results agree well with the simulations.
The argumentative function of rescue narratives: Trump’s national security rhetoric as a case study

ABSTRACT A pervasive feature of populism is the use of rescue narratives to stimulate emotional adherence with audience predicated on evoking fear versus hope for salvation. This paper argues that restricting the rhetorical appeal of rescue narratives to the affective domain obscures the argumentative function that these narratives partake in constructing political arguments. It, thus, claims that rescue narratives can perform as arguments when used to provide reasons to justify political action. The paper examines the way(s) Donald Trump employs rescue narratives as arguments to justify military interventions in Iraq and Syria. The analytical framework supplements the argumentative strategies of the Discourse-Historical Approach to Critical Discourse Studies with pragma-dialectics’ argumentation schemes. The analysis shows that the different elements of the narrative construct premises for argument schemes adduced to justify the rightness of claims. Conceptualizing Trump’s rescue narratives as arguments prompts a reflection on the possibility of narrative discourse to be associated with the domain of reason.
Electric Vehicle Charging Model in the Urban Residential Sector

Electric vehicles (EVs) have become increasingly popular because they are highly efficient and sustainable. However, EVs have intensive electric loads. Their penetrations into the power system pose significant challenges to the operation and control of the power distribution system, such as a voltage drop or transformer overloading. Therefore, grid operators need to prepare for high-level EV penetration into the power system. This study proposes data-driven, parameterized, individual, and aggregated EV charging models to predict EV charging loads in the urban residential sector. Actual EV charging profiles in Saskatchewan, Canada, were analyzed to understand the characteristics of EV charging. A location-based algorithm was developed to identify residential EV charging from raw data. The residential EV charging data were then used to tune the EV charging model parameters, including battery capacity, charging power level, start charging time, daily EV charging energy, and the initial state of charge (SOC). These parameters were modeled by random variables using statistic methods, such as the Burr distribution, the uniform distribution, and the inverse transformation methods. The Monte Carlo method was used for EV charging aggregation. The simulation results show that the proposed models are valid, accurate, and robust. The EV charging models can predict the EV charging loads in various future scenarios, such as different EV numbers, initial SOC, charging levels, and EV types (e.g., electric trucks). The EV charging models can be embedded into load flow studies to evaluate the impact of EV penetration on the power distribution systems, e.g., sustained under voltage, line loss, and transformer overloading. Although the proposed EV charging models are based on Saskatchewan’s situation, the model parameters can be tuned using other actual data so that the proposed model can be widely applied in different cities or countries.
Re-Programing Glucose Catabolism in the Microalga Chlorella sorokiniana under Light Condition

The microalga Chlorella sorokiniana has attracted much attention for lipid production and wastewater treatment. It can perform photosynthesis and organic carbon utilization concurrently. To understand its phototrophic metabolism, a biomass compositional analysis, a 13C metabolic flux analysis, and metabolite pool size analyses were performed. Under dark condition, the oxidative pentose phosphate pathway (OPP) was the major route for glucose catabolism (88% carbon flux) and a cyclic OPP–glycolytic route for glucose catabolism was formed. Under light condition, fluxes in the glucose catabolism, tricarboxylic acid (TCA) cycle, and anaplerotic reaction (CO2 fixation via phosphoenolpyruvate carboxylase) were all suppressed. Meanwhile, the RuBisCO reaction became active and the ratio of its carbon fixation to glucose carbon utilization was determined as 7:100. Moreover, light condition significantly reduced the pool sizes of sugar phosphate metabolites (such as E4P, F6P, and S7P) and promoted biomass synthesis (which reached 0.155 h−1). In addition, light condition increased glucose consumption rates, leading to higher ATP and NADPH production and a higher protein content (43% vs. 30%) in the biomass during the exponential growth phase.
NSD1 Mutations in Sotos Syndrome Induce Differential Expression of Long Noncoding RNAs, miR646 and Genes Controlling the G2/M Checkpoint

An increasing amount of evidence indicates the critical role of the NSD1 gene in Sotos syndrome (SoS), a rare genetic disease, and in tumors. Molecular mechanisms affected by NSD1 mutations are largely uncharacterized. In order to assess the impact of NSD1 haploinsufficiency in the pathogenesis of SoS, we analyzed the gene expression profile of fibroblasts isolated from the skin samples of 15 SoS patients and of 5 healthy parents. We identified seven differentially expressed genes and five differentially expressed noncoding RNAs. The most upregulated mRNA was stratifin (SFN) (fold change, 3.9, Benjamini–Hochberg corrected p < 0.05), and the most downregulated mRNA was goosecoid homeobox (GSC) (fold change, 3.9, Benjamini–Hochberg corrected p < 0.05). The most upregulated lncRNA was lnc-C2orf84-1 (fold change, 4.28, Benjamini–Hochberg corrected p < 0.001), and the most downregulated lncRNA was Inc-C15orf57 (fold change, −0.7, Benjamini–Hochberg corrected p < 0.05). A gene set enrichment analysis reported the enrichment of genes involved in the KRAS and E2F signaling pathways, splicing regulation and cell cycle G2/M checkpoints. Our results suggest that NSD1 is involved in cell cycle regulation and that its mutation can induce the down-expression of genes involved in tumoral and neoplastic differentiation. The results contribute to defining the role of NSD1 in fibroblasts for the prevention, diagnosis and control of SoS.
Sex recognition does not modulate aggression toward nest intruders in a paper wasp

Abstract During social interactions, the behavior of an individual often depends on the sex of its social partner. Many animal societies have males and females that play very different behavioral roles, although they coexist and interact non-sexually. At specific phases of the colony cycle, social wasp females and males are contemporaries within a nest, they often interact, although mating occurs mostly off the nest, therefore providing an opportunity to test sex discrimination in contexts other than classical sexual ones. We performed a lure presentation experiment to test if Mischocyttarus metathoracicus discriminate between conspecifics of the 2 sexes during on-nest social interactions. Female wasps discriminated conspecific sex during experimentally simulated nest intrusions. Visual and chemical cues may account for this sex discrimination. Despite sex discrimination (evidenced by differential inspective behavior from the nest females toward the female and the male lures), female wasps were as aggressive toward lures of both sexes. In the female-dominated hymenopteran societies, males are often subordinate and not aggressive on nest, resulting in females directing less aggression to them compared to other females. Instead, M. metathoracicus males and females are both aggressive toward nestmates, so they might be perceived as similar threat during on-nest social interactions.