Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigating IoT-LoRa Technology for The Underwater System Application

This paper reports our initial results of research concerning the feasibility of Internet-of-Things Long-Range (IoT-LoRa) communications technology for the underwater system application. We present the initial testing results of the IoT-LoRa system underwater on three different types of water, i.e., swimming pool water, seawater, and lake water. The experiments are carried out with a depth of 10 cm from the water surface, and distances between the LoRa transmitter and receiver are 2 m, 5 m, and 8 m. Those three types of water signify the variance in water’s turbidity, while RSSI and SNR are the performance parameters to be measured. The results show that the types of water and their turbidity level affect the LoRa signal transmission coverage, while RSSI and SNR values fluctuate underwater. The best RSSI and SNR values were achieved in swimming pool water, while the worst were in the seawater. Subsequently, this paper discusses the potential underwater service application and future research plans.
Optimization of Detection Accuracy of Closed-Loop Optical Voltage Sensors Based on Pockels Effect

The influence of optical parameters on the performance of closed-loop optical voltage sensors (OVSs) based on Pockels effect is analyzed and a control algorithm is proposed to suppress the nonlinearity caused by the unideal parameters of optical devices for optimizing the detection precision of OVSs. First, a quantified model of the feedback phase demonstrates how the optical parameters of optical devices (including light source, polarizer, 45° fusion point, Faraday rotator and half-wave plate) result in the nonlinearity of closed-loop OVSs. Then, the parameter indexes of different optical devices are put forward to instruct the manufacturing process of the optical system. Furthermore, a closed-loop control algorithm is investigated to improve the measurement accuracy of nonlinear OVSs considering the unideal parameters. The experiment results indicate that additional bias caused by undesirable optical parameters is obviously decreased so that the measurement accuracy of OVSs satisfies the demand of IEC60044-3 for 0.1 level measurement accuracy, which verifies the effectiveness and correctness of the methods for suppressing the impact of unideal optical parameters on OVSs.
In Vitro Fungicidal Activities of Anidulafungin, Caspofungin, and Micafungin against Candida glabrata, Candida bracarensis, and Candida nivariensis Evaluated by Time-Kill Studies

ABSTRACT Anidulafungin, caspofungin, and micafungin killing activities against Candida glabrata, Candida bracarensis, and Candida nivariensis were evaluated by the time-kill methodology. The concentrations assayed were 0.06, 0.125, and 0.5 μg/ml, which are achieved in serum. Anidulafungin and micafungin required between 13 and 26 h to reach the fungicidal endpoint (99.9% killing) against C. glabrata and C. bracarensis. All echinocandins were less active against C. nivariensis.
Modulation of hippocampal theta and hippocampal‐prefrontal cortex function by a schizophrenia risk gene

Hippocampal theta‐band oscillations are thought to facilitate the co‐ordination of brain activity across distributed networks, including between the hippocampus and prefrontal cortex (PFC). Impairments in hippocampus‐PFC functional connectivity are implicated in schizophrenia and are associated with a polymorphism within the ZNF804A gene that shows a genome‐wide significant association with schizophrenia. However, the mechanisms by which ZNF804A affects hippocampus‐PFC connectivity are unknown. We used a multimodal imaging approach to investigate the impact of the ZNF804A polymorphism on hippocampal theta and hippocampal network coactivity. Healthy volunteers homozygous for the ZNF804A rs1344706 (A[risk]/C[nonrisk]) polymorphism were imaged at rest using both magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI). A dual‐regression approach was used to investigate coactivations between the hippocampal network and other brain regions for both modalities, focusing on the theta band in the case of MEG. We found a significant decrease in intrahippocampal theta (using MEG) and greater coactivation of the superior frontal gyrus with the hippocampal network (using fMRI) in risk versus nonrisk homozygotes. Furthermore, these measures showed a significant negative correlation. Our demonstration of an inverse relationship between hippocampal theta and hippocampus‐PFC coactivation supports a role for hippocampal theta in coordinating hippocampal‐prefrontal activity. The ZNF804A‐related differences that we find in hippocampus‐PFC coactivation are consistent with previously reported associations with functional connectivity and with these changes lying downstream of altered hippocampal theta. Changes in hippocampal‐PFC co‐ordination, driven by differences in oscillatory activity, may be one mechanism by which ZNF804A impacts on brain function and risk for psychosis. Hum Brain Mapp 36:2387–2395, 2015. © 2015 The Authors Human Brain Mapping Published by Wiley Periodicals, Inc.
Experiments on IndoBERT Implementation for Detecting Multi-Label Hate Speech with Data Resampling through Synonym Replacement Method

The freedom to share information online leads to increased online hate speech. Addressing this issue is crucial to creating better online communities. A study in 2019 used machine learning approaches to detect multi-label hate speech in the Indonesian language, achieving an accuracy of 66.12%. Recently, several researchers have shown improved performance when using the deep learning method. Looking at the opportunity, this work is developing an Indonesian hate speech model using IndoBERT. Various word preprocessing techniques and dataset stratification were explored for optimal results. In addition, this work also tried to solve the imbalance dataset problem in the multi-label dataset through the synonym replacement method. As a result, the IndoBERT model of this research achieved an improved accuracy of 88.23%. It was also implemented into a web-based application to show the potential usage.
RalR (a DNase) and RalA (a small RNA) form a type I toxin–antitoxin system in Escherichia coli

For toxin/antitoxin (TA) systems, no toxin has been identified that functions by cleaving DNA. Here, we demonstrate that RalR and RalA of the cryptic prophage rac form a type I TA pair in which the antitoxin RNA is a trans-encoded small RNA with 16 nucleotides of complementarity to the toxin mRNA. We suggest the newly discovered antitoxin gene be named ralA for RalR antitoxin. Toxin RalR functions as a non-specific endonuclease that cleaves methylated and unmethylated DNA. The RNA chaperone Hfq is required for RalA antitoxin activity and appears to stabilize RalA. Also, RalR/RalA is beneficial to the Escherichia coli host for responding to the antibiotic fosfomycin. Hence, our results indicate that cryptic prophage genes can be functionally divergent from their active phage counterparts after integration into the host genome.
A common, symptom-based case definition for gastroenteritis

SUMMARY National studies determining the burden of gastroenteritis have defined gastroenteritis by its clinical picture, using symptoms to classify cases and non-cases. The use of different case definitions has complicated inter-country comparisons. We selected four case definitions from the literature, applied these to population data from Australia, Canada, Ireland, Malta and the United States, and evaluated how the epidemiology of illness varied. Based on the results, we developed a standard case definition. The choice of case definition impacted on the observed incidence of gastroenteritis, with a 1·5–2·1 times difference between definitions in a given country. The proportion of cases with bloody diarrhoea, fever, and the proportion who sought medical care and submitted a stool sample also varied. The mean age of cases varied by <5 years under the four definitions. To ensure comparability of results between studies, we recommend a standard symptom-based case definition, and minimum set of results to be reported.
Random Features for Compositional Kernels

We describe and analyze a simple random feature scheme (RFS) from prescribed compositional kernels. The compositional kernels we use are inspired by the structure of convolutional neural networks and kernels. The resulting scheme yields sparse and efficiently computable features. Each random feature can be represented as an algebraic expression over a small number of (random) paths in a composition tree. Thus, compositional random features can be stored compactly. The discrete nature of the generation process enables de-duplication of repeated features, further compacting the representation and increasing the diversity of the embeddings. Our approach complements and can be combined with previous random feature schemes.
Analgesic efficacy of oral firocoxib in ovariohysterectomized cats

The postoperative analgesic effects of firocoxib in ovariohysterectomized cats were observed. Twenty-four cats were divided into 3 groups: control (no medicine), firocoxib-1 (1 mg/kg/day) and firocoxib-3 (3 mg/kg/day). Colorado pain scale scores (CPSS), composite pain scores (CPS), and buccal mucosal bleeding times (BMBT) were recorded in blinded fashion before induction and 2, 5, 8, 24, 30, and 48 h post-operation. The average CPSS (mean ± SEM) over 2 to 48 h post-operation in firocoxib-3 (0.4 ± 0.1) was significantly lower than that of the control (0.7 ± 0.2; p = 0.004), but that of firocoxib-1 (0.5 ± 0.2) was not different from that of the control (p = 0.40). The mean CPS of firocoxib-3 was significantly lower than that of the control at 24 h post-operation (p = 0.04); nonetheless, there was no significant difference in mean CPS between firocoxib-1 and control groups at all intervals. BMBT and body temperature were within normal limits in all groups. However, reversible azotemia was identified in two firocoxib-3 cats at 72 h post-operation. One firocoxib-3 cat vomited once at 48 h post-operation. In conclusion, firocoxib-3 is helpful for postoperative pain control in cats; however, gastrointestinal irritation and renal function side effects may occur.
Improved bounds for Stein's square functions

We prove a weighted norm inequality for the maximal Bochner–Riesz operator and the associated square‐function. This yields new Lp(ℝd) bounds on classes of radial Fourier multipliers, for p⩾2+4/d with d⩾2, as well as space–time regularity results for the wave and Schrödinger equations.
Annexin A2 is a novel Cellular Redox Regulatory Protein involved in Tumorigenesis

Annexins are a structurally related family of calcium and phospholipid-binding proteins that are involved in the regulation of a wide range of molecular and cellular processes. Annexin A2 is unique among the annexins in that it possesses redox sensitive cysteine(s). The ubiquitous and abundant expression of ANXA2 in cells and its reactivity with hydrogen peroxide led us to hypothesize that this protein could play a role in cellular redox regulation. Here we show that ANXA2 protein levels are induced by hydrogen peroxide. Furthermore, depletion of ANXA2 resulted in the elevation of cellular reactive oxygen species (ROS) upon oxidative stress, increased activation of the ROS-induced pro-apoptotic kinases, JNK, p38 and Akt and elevated sensitivity to ROS-mediated cellular damage/death. ANXA2-null mice showed significantly elevated protein oxidation in the liver and lung tissues compared to WT mice. ANXA2 depleted cancer cells showed enhanced cellular protein oxidationconcomitant with decreased tumor growth compared to control cancer cells andboth the oxidation of cellular proteins and tumor growth deficit werereversed by the antioxidant N-acetyl cysteine, indicating that ANXA2 plays akey role in the regulation of cellular redox during tumorigenesis. Ex-vivo human cancer studies showed that up-regulation of the reduced form of ANXA2 is associated with protection of the tumor proteins from oxidation. In summary, our results indicate that ANXA2 plays an important role incellular redox regulation by protecting cells from oxidative stress, aneffect that is particularly important during tumorigenesis.
Transparencia y modernización del Estado en Chile: brechas entre la teoría y la práctica Transparency and State Modernization in Chile: gaps between theory and practice

At the international and national levels, the modernization of the state has been closely linked to actions to make it more transparent and also to the efforts to involve citizens in public affairs. However, despite this conceptual symbiosis and countless theoretically ‘modernizing’ actions as well as the citizens demands for transparency and participation, the results have not turned out as expected. Particularly, there is a marked crisis of confidence in public institutions that again suggests more transparency as the answer for more modernization. Based on the results of the Transparency and Access to Information Index (ITAI for its acronym in Spanish) of the Council for Transparency, in this article we propose the need to associate the concepts of transparency’ and modernization with the practices of the Public Administration. Given the evidence, it is not necessary to continue adding pro-transparency legislation to achieve the goal of modernization of the state. Instead, the key would be in generating an integral transparency system based on a successful experience of implementing the Transparency and Access to Public Information Law in the State Administration, which is far from being apprehended by the public.
Coding and learning of chemosensor array patterns in a neurodynamic model of the olfactory system

Coding and Learning of Chemosensor Array Patterns in a Neurodynamic Model of the Olfactory System. (May 2006) Agustin Gutierrez Galvez, B.S.; B.En. , Universitat de Barcelona, Spain Chair of Advisory Committee: Dr. Ricardo Gutierrez-Osuna Arrays of broadly-selective chemical sensors, also known as electronic noses, have been developed during the past two decades as a low-cost and high-throughput alternative to analytical instruments for the measurement of odorant chemicals. Signal processing in these gas-sensor arrays has been traditionally performed by means of statistical and neural pattern recognition techniques. The objective of this dissertation is to develop new computational models to process gas sensor array signals inspired by coding and learning mechanisms of the biological olfactory system. We have used a neurodynamic model of the olfactory system, the KIII, to develop and demonstrate four odor processing computational functions: robust recovery of overlapping patterns, contrast enhancement, background suppression, and novelty detection. First, a coding mechanism based on the synchrony of neural oscillations is used to extract information from the associative memory of the KIII model. This temporal code allows the KIII to recall overlapping patterns in a robust manner. Second, a new learning rule that combines Hebbian and anti-Hebbian terms is proposed. This learning rule is shown to achieve contrast iv enhancement on gas-sensor array patterns. Third, a new local learning mechanism based on habituation is proposed to perform odor background suppression. Combining the Hebbian/anti-Hebbian rule and the local habituation mechanism, the KIII is able to suppress the response to continuously presented odors, facilitating the detection of the new ones. Finally, a new learning mechanism based on anti-Hebbian learning is proposed to perform novelty detection. This learning mechanism allows the KIII to detect the introduction of new odors even in the presence of strong backgrounds. The four computational models are characterized with synthetic data and validated on gas sensor array patterns obtained from an e-nose prototype developed for this purpose.
Parenting Style and Youth Outcomes in the UK

We apply latent class analysis to data on parent―teenager interaction that was collected in the Youth Panel of the British Household Panel Survey. The three parenting styles that we identify—authoritative, authoritarian, and permissive—correspond quite closely to those proposed by child development psychologists. Multivariate analysis shows that parenting style in contemporary UK is structured primarily by family structure and not by social class. There are consistent and strong associations between parenting style and a wide range of youth outcomes, including subjective well-being and self-esteem, health and risky behaviour, and school results and enrolment.
Preconditioners for Saddle Point Problems on Truncated Domains in Phase Separation Modelling

The discretization of Cahn-Hilliard equation with obstacle potential leads to a block 2 by 2 non-linear system, where the p1, 1q block has a non-linear and non-smooth term. Recently a globally convergent Newton Schur method was proposed for the non-linear Schur complement corresponding to this non-linear system. The solver may be seen as an inexact Uzawa method which has the falvour of an active set method in the sense that the active sets are first identified by solving a quadratic obstacle problem corresponding to the p1, 1q block of the block 2 by 2 nonlinear system, and a new decent direction is obtained after discarding the active set region. The problem becomes linear on nonactive set, and corresponds to solving a linear saddle point problem on truncated domains. For solving the quadratic obstacle problem, various optimal multigrid like methods have been proposed. In this paper solvers for the truncated saddle point problem is considered. Three preconditioners are considered, two of them have block diagonal structure, and the third one has block tridiagonal structure. One of the block diagonal preconditioners is obtained by adding certain scaling of stiffness and mass matrices, whereas, the remaining two involves Schur complement. Eigenvalue bound and condition number estimates are derived for the preconditioned untruncated problem. It is shown that the extreme eigenvalues of the preconditioned truncated system remain bounded by the extreme eigenvalues of the preconditioned untruncated system. Numerical experiments confirm the optimality of the solvers.
Some computations on the spectra of Pisot and Salem numbers

Properties of Pisot numbers have long been of interest. One line of questioning, initiated by Erdos. Joo and Komornik in 1990. is the determination of l(q) for Pisot numbers q, where l(q) = inf(|y|:y = e0 + e1q1 + .+ enqn, ei ∈ {±1,0}, y ≠ 0.) Although the quantity l(q) is known for some Pisot numbers q, there has been no general method for computing l(q). This paper gives such an algorithm. With this algorithm, some properties of l(q) and its generalizations are investigated.A related question concerns the analogy of l(q), denoted a(q), where the coefficients are restricted to ±1; in particular, for which non-Pisot numbers is a(q) nonzero? This paper finds an infinite class of Salem numbers where a(q) ≠ 0.
Antiretroviral combination use during pregnancy and the risk of major congenital malformations

Objective: To quantify the risk of major congenital malformations (MCMs) associated with gestational combination antiretroviral use. Design: Population-based prospective cohort study. Methods: Using the Quebec Pregnancy Cohort from 1998 to 2015, we included women who were covered by the Quebec Drug Plan and had a singleton livebirth. All antiretroviral use alone or in combination were considered. MCMs overall and organ-specific malformations in the first year of life were identified. Results: In total, 214 240 pregnancies met inclusion criteria; 0.09% (n = 198) occurred while on antiretroviral combinations during the first trimester; 169 HIV-positive women without antiretroviral treatment were included. Compared with the general population in this cohort, the prevalence of MCMs was significantly higher in unexposed HIV-positive women (14.8 vs. 8.6%, P = 0.004) but not in antiretroviral-exposed HIV-positive women (10.3%, P = 0.41). Adjusting for potential confounders, including maternal HIV status, antiretroviral use during the first trimester was not associated with the risk of MCMs (adjusted odds ratio 0.59, 95% confidence interval 0.33–1.06). However, antiretroviral combination use during the first trimester was associated with an increased risk of defects of the small intestine (adjusted odds ratio 10.32, 95% confidence interval 2.85–37.38, P = 0.0004). Conclusion: Antiretroviral therapy during the first trimester was not associated with the risk of overall MCMs but may be associated with an increased risk of defects of the small intestine. However, HIV-positive pregnant women who are not treated with antiretrovirals during pregnancy seem to have a higher risk of malformations; this is not seen among those who are treated, which could indicate that the underlying condition puts women at risk and not the treatment.
The Role of Multislice CT in Evaluation of Superior Vena Cava Syndrome

The superior vena cava (SVC) syndrome is a clinical entity caused by obstruction of the superior vena cava by infiltration, compression or thrombosis. Cancer is the most common underlying cause of superior vena cava obstruction. The incidence of catheter-induced superior vena cava obstruction is rapidly increasing. Fibrosing mediastinitis and Behçet disease are rare causes of SVC syndrome. Clinical presentation of SVC syndrome may include cough, dyspnea, dysphagia, and swelling or discoloration of the neck, face and upper extremities. Aim of this study is to evaluate the role of Multislice CT in study of superior vena cava obstruction syndromes and assessment of collateral circulation in different causes of superior vena caval
MicroRNA as biomarkers and regulators in B-cell chronic lymphocytic leukemia

Early cancer detection and disease stratification or classification are critical to successful treatment. Accessible, reliable, and informative cancer biomarkers can be medically valuable and can provide some relevant insights into cancer biology. Recent studies have suggested improvements in detecting malignancies by the use of specific extracellular microRNAs (miRNAs) in plasma. In chronic lymphocytic leukemia (CLL), an incurable hematologic disorder, sensitive, early, and noninvasive diagnosis and better disease classification would be very useful for more effective therapies. We show here that circulating miRNAs can be sensitive biomarkers for CLL, because certain extracellular miRNAs are present in CLL patient plasma at levels significantly different from healthy controls and from patients affected by other hematologic malignancies. The levels of several of these circulating miRNAs also displayed significant differences between zeta-associated protein 70 (ZAP-70)+ and ZAP-70− CLL. We also determined that the level of circulating miR-20a correlates reliably with diagnosis-to-treatment time. Network analysis of our data, suggests a regulatory network associated with BCL2 and ZAP-70 expression in CLL. This hypothesis suggests the possibility of using the levels of specific miRNAs in plasma to detect CLL and to determine the ZAP-70 status.