Miracle-dz/UniFAR-FTUs huggingface dataset:
Applying a data-centric framework for developing model transformations

Data-centric (Dc) and declarative languages are being used for data processing in several application domains, such as distributed systems, natural language processing, and others. In Model Transformations (MT), recognized declarative and hybrid languages have been used to develop model transformation rules. Considering the execution semantics, a large part use functional-like or graph-matching semantics. However, these new data processing frameworks have different execution capabilities and semantics. In this context, it is important to take stock of existing approaches for providing transformation engines with alternative semantics and in a distributed way. In this paper, we present a study on applying a data-centric language called Bloom to develop model transformations. We developed an extractor into its collection-based format and then processed them using its highly-declarative rules. The results show the feasibility of applying data centric approaches for MDE applications.
Blind Parameter Identification of MAR Model and Mutation Hybrid GWO-SCA Optimized SVM for Fault Diagnosis of Rotating Machinery

As a crucial and widely used component in industrial fields with great complexity, the health condition of rotating machinery is directly related to production efficiency and safety. Consequently, recognizing and diagnosing rotating machine faults remain to be one of the main concerns in preventing failures of mechanical systems, which can enhance the reliability and efficiency of mechanical systems. In this paper, a novel approach based on blind parameter identification of MAR model and mutation hybrid GWO-SCA optimization is proposed to diagnose faults for rotating machinery. Signals collected from different types of faults were firstly split into sets of intrinsic mode functions (IMFs) by variational mode decomposition (VMD), the decomposing mode number K of which was preset with central frequency observation method. Then the multivariate autoregressive (MAR) model of all IMFs was established, whose order was determined by Schwartz Bayes Criterion (SBC), and all parameters of the model were identified blindly through QR decomposition, where key features were subsequently extracted via principal component analysis (PCA) to construct feature vectors of different fault types. Afterwards, a hybrid optimization algorithm combining mutation operator, grey wolf optimizer (GWO), and sine cosine algorithm (SCA), termed mutation hybrid GWO-SCA (MHGWOSCA), was proposed for parameter selection of support vector machine (SVM). The optimal SVM model was later employed to classify different fault samples. The engineering application and contrastive analysis indicate the availability and superiority of the proposed method.
MoCA: a novel privacy-preserving contextual advertising platform on mobile devices

In this work, we propose a novel contextual advertising platform, called MoCA, which is designed to improve the relevance of in-app advertising in a stand-alone, privacy-protecting manner on mobile devices. MoCA understands the semantics of the current app page and matches semantically relevant ads inside mobile devices. In addition, MoCA controls the degree of privacy protection per user by utilizing a novel semantic generalization model on top of topical taxonomy. Our experimental results verify the effectiveness and feasibility of MoCA with minimal system overheads in terms of runtime, memory usage, and energy consumption. To the best of our knowledge, this is one of few work on the mobile contextual advertising platform without resort to ad servers.
A THEORY OF OPPOSITION COORDINATION

The literature on contemporary African multiparty politics conventionally attributes the lack of opposition coalitions to the enduring influence of incumbent patronage and ethnic mobilization. I present here two chapters in which I develop an alternative explanation that links opposition behavior to the availability of private resources. The first chapter introduces a model in which elite donations under financial liberalization enable opposition politicians to make coalition bargains more attractive to each other despite the threat of time-inconsistent behavior. The second chapter’s quantitative analysis confirms that financial liberalization, as proxied by the availability of private credit, significantly affects the opposition’s ability to coordinate in executive elections. The results show that variables reflecting the opposition’s liquidity problem are more consistent predictors of opposition coordination than patronage, ethnicity, or violence.
Decomposition of the fuzzy inference system for implementation in the FPGA structure

The paper presents the design and implementation of a digital rule-relational fuzzy logic controller. Classical and decomposed logical structures of fuzzy systems are discussed. The second allows a decrease in the hardware cost of the fuzzy system and in the computing time of the final result (fuzzy or crisp), especially when referring to relational systems. The physical architecture consists of IP modules implemented in an FPGA structure. The modules can be inserted into or removed from the project to get a desirable fuzzy logic controller configuration. The fuzzy inference system implemented in FPGA can operate with a much higher performance than software implementations on standard microcontrollers.
Enhancing the Behaviorial Fidelity of Synthetic Entities with Human Behavior Models

Abstract : Human-behavior models (HBMs) and artificial intelligence systems are called on to fill a wide variety of roles in military simulations. Each of the "off the shelf" human behavior models available today focuses on a specific area of human cognition and behavior. While this makes these HBMs very effective in specific roles, none are single-handedly capable of supporting the full range of roles necessary in an urban military scenario involving asymmetric opponents and potentially hostile civilians. The research presented here explores the integration of three separate human behavior models to support three different roles for synthetic participants in a single simulated scenario. The Soar architecture, focusing on knowledge-based, goal-directed behavior, supports a fire team of U.S. Army Rangers. PMFServ, focusing on a physiologically/stress constrained model of decision-making based on emotional utility, supports civilians that may become hostile.
Gut Flora Allows Recovery of Oral Tolerance to Ovalbumin in Mice after Transient Breakdown Mediated by Cholera Toxin or Escherichia coli Heat-Labile Enterotoxin

Oral tolerance, the antigen-specific immunologic unresponsiveness after antigen (Ag) feeding, is of physiologic importance in preventing antibody (Ab) responses to dietary proteins. This is important in the young, especially at weaning when numerous dietary Ag are encountered for the first time. Two related enterotoxins responsible for much diarrhea in the infant, cholera toxin (CT) and Escherichia coli heat-labile enterotoxin (LT), have been shown to abrogate oral tolerance to an unrelated Ag fed simultaneously. The main objective of this study was to determine whether the gut flora can play a role in the CT- or LT-mediated abrogation of oral tolerance to the dietary protein ovalbumin (OVA), on a short-term and long-term basis. Conventional and germ-free mice were fed once or twice with toxin plus OVA. After two intraperitoneal immunizations with OVA, anti-OVA IgG and IgE Ab levels were measured. Because IgG and IgE Ab responses were detected, both CT and LT abrogated oral tolerance to OVA in conventional and germ-free mice. As time progressed (observations over 3 mo), whereas the specific IgG Ab response in the germ-free mice remained similar to that of the bicarbonate-fed controls, a hyporesponsive state was observed in conventional mice. The results showed that, although the gut flora did not prevent the CT- and LT-mediated abrogation of oral tolerance, it did shorten the effect and allow oral tolerance to be recovered.
The First Case of Capillaria hepatica Infection in a Nutria (Myocastor coypus) in Korea

This study reports the first case of Capillaria hepatica infection in a nutria in Korea. Ten nutrias, captured near the Nakdong River, were submitted to our laboratory for necropsy. White-yellowish nodules were found in the liver of 1 of the nutrias at necropsy. Histologically, the lesions were granulomatous, and infiltrations of lipid-laden macrophages, eosinophils, and several multinucleated giant cells were observed. The lesions consisted of numerous eggs and necrotic hepatocytes. The eggs were lemon-shaped and had polar plugs at the ends of both long sides. The eggs were morphologically identified as those of C. hepatica. Worldwide, C. hepatica infection in nutrias is very rare. Nutrias are a kind of livestock, as well as wildlife; therefore, an epidemiological study for parasitic infections needs to be conducted.
A new species of Trismegistomya Reinhard (Diptera: Tachinidae) from Area de Conservación Guanacaste in northwestern Costa Rica

Abstract Background The New World genus Trismegistomya Reinhard, 1967b (Diptera: Tachinidae) previously included only the type species Trismegistomya pumilis (Reinhard, 1967a) from Arizona, U.S.A. New information We describe a new species of Trismegistomya, Trismegistomya jimoharai Fleming & Wood sp. n. , from Area de Conservación Guanacaste (ACG) in northwestern Costa Rica, reared from wild-caught caterpillars of Melipotis januaris (Guenée, 1852) (Lepidoptera: Erebidae). Our study provides a concise description of the new species using morphology, life history, molecular data and photographic documentation. In addition to the new species description, we provide a redescription of the genus, as well as of its type species Trismegistomya pumilis.
Understanding implementation and usefulness of electronic clinical decision support (eCDS) for melanoma in English primary care: a qualitative investigation

Background Timely diagnosis of the serious skin cancer melanoma can improve patient outcomes. Clinical guidelines suggest that GPs use checklists, such as the 7-point checklist (7PCL), to assess pigmented lesions. In 2016, the 7PCL was disseminated by EMIS as an electronic clinical decision support (eCDS) tool. Aim To understand GP and patient perspectives on the implementation and usefulness of the eCDS. Design & setting Semi-structured interviews with GPs and patients were undertaken. The interviews took place in four general practices in the south east of England following consultations using the eCDS for suspicious pigmented lesions. Method Data were collected from semi-structured face-to-face interviews with GPs and from telephone interviews with patients. They were recorded and transcribed verbatim. The Consolidated Framework for Implementation Research (CFIR) underpinned the analysis using thematic approaches. Results A total of 14 interviews with GPs and 14 interviews with patients were undertaken. Most GPs reported that, as the eCDS was embedded in the medical record, it was useful, easy to use, time-efficient, and could facilitate patient–GP communication. They were less clear that it could meet policy or patient needs to improve early diagnosis, and some felt that it could lead to unnecessary referrals. Few felt that it had been sufficiently implemented at practice level. More felt confident with their own management of moles, and that the eCDS could be most useful for borderline decision-making. No patients were aware that the eCDS had been used during their consultation. Conclusion Successful implementation of a new tool, such as eCDS for melanoma, requires GPs to perceive its value and understand how it can best be integrated into clinical practice. Disseminating a tool without such explanations is unlikely to promote its adoption into routine practice.
Microbial Community in Black Rust Exposed to Hot Ridge Flank Crustal Fluids

ABSTRACT During Integrated Ocean Drilling Program Expedition 301, we obtained a sample of black rust from a circulation obviation retrofit kit (CORK) observatory at a borehole on the eastern flank of Juan de Fuca Ridge. Due to overpressure, the CORK had failed to seal the borehole. Hot fluids from oceanic crust had discharged to the overlying bottom seawater and resulted in the formation of black rust analogous to a hydrothermal chimney deposit. Both culture-dependent and culture-independent analyses indicated that the black-rust-associated community differed from communities reported from other microbial habitats, including hydrothermal vents at seafloor spreading centers, while it shared phylotypes with communities previously detected in crustal fluids from the same borehole. The most frequently retrieved sequences of bacterial and archaeal 16S rRNA genes were related to the genera Ammonifex and Methanothermococcus, respectively. Most phylotypes, including phylotypes previously detected in crustal fluids, were isolated in pure culture, and their metabolic traits were determined. Quantification of the dissimilatory sulfite reductase (dsrAB) genes, together with stable sulfur isotopic and electron microscopic analyses, strongly suggested the prevalence of sulfate reduction, potentially by the Ammonifex group of bacteria. Stable carbon isotopic analyses suggested that the bulk of the microbial community was trophically reliant upon photosynthesis-derived organic matter. This report provides important insights into the phylogenetic, physiological, and trophic characteristics of subseafloor microbial ecosystems in warm ridge flank crusts.
The first record of Cucullia umbratica (Lepidoptera: Noctuidae) from Japan

Abstract Background Cucullia umbratica is known from Europe (from Spain to southern Fennoscandia), Russia, Afghanistan, Turkestan and Mongolia, in the Palearctic. In addition, introduction of this species to Canada has been reported recently. New information We report this species from Japan for the first time, from two locations at Hokkaidō. The earliest record is from 2015.
The Effectiveness of Early Mobilization Time on Balance and Functional Ability after Ischemic Stroke

BACKGROUND: Early mobilisation (EM) after-ischemic stroke is a motor learning intervention aimed to restore nerve cells and to improve balance and functional ability. Unfortunately, the study of when this intervention began has not been widely studied. AIM: On this study was compared the effect of EM started at 24 hours and 48 hours after an ischemic stroke on balance and functional ability. MATERIAL AND METHODS: Randomized controlled trial involving 40 patients on 2 groups meeting predefined inclusion criteria. The levels of balance were measured using the Berg Balance Scale, and the functional ability was measured using the Barthel Index, at 5th and 7th day. RESULTS: A significant difference was observed in both balance (p = 0.038) and functional ability (p = 0.021) obtained on the 7th day of assessment between both groups. A significant difference on the 5th day was observed only in the functional ability (p = 0.002) and not in the balance (p = 0.147), between the groups. CONCLUSION: EM started at 24 hours after the ischemic stroke has been found to have a better impact on balance and functional ability compared to that at 48 hours.
Resistance Trend, Antibiotic Utilization and Mortality in Patients with E. coli Bacteraemia

BACKGROUND: Incidence of bacteraemia and driving concerns about antibiotic resistance is increasing globally. Risk factors for developing antimicrobial resistance are antibiotic overuse, incorrect dosing and extended duration of administration. AIM: This study was conducted to examine the prescription and susceptibility pattern of antibiotics in bacteraemia patients with ESBL producing and Non-ESBL-producing E. coli and their correlation with mortality. METHODS: Data were collected from medical records of the patients aged 18 years and above, diagnosed with E. coli bacteremia from January 2013 through July 2017. Institutional ethics committee approval was obtained before the study (IEC 483/2017). Cumulative sensitivity/resistance pattern of isolated microorganisms and DDD/100 bed days of prescribed antibiotics were obtained. RESULTS: 182 cases of E. coli bacteraemia were reviewed. 59.9% (n = 109) were male with an age range of 20-90 years. The mortality rate was 24.9% (n = 44). 55.5% (n = 101) of the isolated organisms were ESBL-producing. A high percentage of resistance to cephalosporins and fluoroquinolones were observed among the patients, and most of the identified isolates were sensitive to the aminoglycosides, carbapenems and β-lactam and β-lactamase inhibitor combinations (BLBLIs). CONCLUSIONS: Frequent utilisation of the high-end antibiotics and increase in microorganism’s resistance to different antibiotics can lead to a worrisome level. Local antibiotic resistance data and consumption policy are essential to prevent and slow down this process. We observed a descending resistance trend for amoxicillin-clavulanic acid combination in our setting to both the ESBL producing and non-producing.
Diagnostic Value of Platelet–To-Lymphocyte Ratio in Prostate Cancer

BACKGROUND: Previous studies demonstrated the promising value of platelet-to-lymphocyte (PLR) in prostate cancer. AIM: This study was conducted to evaluate its pre-biopsy values in predicting prostate cancer. METHODS: We included all benign prostatic hyperplasia (BPH) and prostate cancer (PCa) patients who underwent a prostate biopsy in Adam Malik Hospital between August 11th 2011 and August 31st 2015. The relationship between pre-biopsy variables which could be affecting the percentage of prostate cancer risk was evaluated, including age, prostate-specific antigen (PSA) level, and prostate volume (EPV). The PLR was calculated from the ratio of related platelets with their absolute lymphocyte counts. The values then analysed to evaluate their associations with the diagnosis of BPH and PCa. RESULTS: As many as 298 patients consisted of 126 (42.3%) BPH and 172 PCa (57.7%) patients are included in this study. Mean age for both groups are 66.36 ± 7.53 and 67.99 ± 7.48 years old (p = 0.64), respectively. There are statistically significant differences noted from PSA (19.28 ± 27.11 vs 40.19 ± 49.39), EPV (49.39 ± 23.51 vs 58.10 ± 30.54), PLR (160.27 ± 98.96 vs 169.55 ± 78.07), and NLR (3.57 ± 3.23 vs 4.22 ± 2.59) features of both groups (p < 0.05). The AUC of PLR is 57.9% with a sensitivity of 56.4% and specificity of 55.6% in the cut-off point of 143 (p = 0.02). Besides, the NLR cut-off point of 3.08 gives 62.8% AUC with 64.5% sensitivity and 63.5% specificity. We asked for permission from the preceding authors of Indonesian Prostate Cancer Risk Calculator (IPCRC) and calculated its value from 98 randomised patients consist of 45 (45.92%) BPH and 53 (54.08%) PCa. We found a comparable value between PLR/NLR with IPCRC in predicting prostate cancer (AUC of 67.6%, 75.3%, and 68.4%, respectively) with a statistically significant difference of all value in both groups (p < 0.05). CONCLUSIONS: PLR gives promising value in predicting prostate cancer in suspected patients. We suggest a further prospective study to validate its diagnostic values so it can be used as applicable routine calculation.
The unfolding of dynamics in stochastic analysisLudwig

Dedicated to my highly esteemed colleague and friend Rafail S. Khasminskii on the occasion of his 65th birthday Abstract We describe the \three gates" which had to be opened for a full dynam-ical systems point of view of the theory of Markov processes and stochas-tic analysis: (i) the invention of stochastic diierential equations (SDE) by It^ o around 1950, (ii) the discovery (simultaneously by Baxendale, Bismut, Elworthy, Kunita, and others around 1980) that SDE generate stochastic ows of diieomorphisms, (iii) the proof that these stochastic ows are co-cycles over the dynamical system describing the Wiener process, making an SDE amenable to smooth ergodic theory. We place the outstanding contributions of Rafail S. Khasminskii into this context. The paper is conceptual in style, and is meant as an eye{opener. 1 From Markov processes to SDE On our way from Markov processes via stochastic diierential equations 1 to dynamical systems we will open three \gates" which correspond to major conceptual break{throughs. 1 \Stochastic diierential equation(s)" is henceforth abbreviated as \SDE".
Predictors of Caesarean Delivery in Preterm Premature Rupture of Membranes

BACKGROUND: Preterm premature rupture of membranes (P-PROM) exerts a tremendous influence on pregnancy prognosis. Additionally, it is a major public health concern, as the cause of up to 40% of all preterm births. AIM: The objective of this study was to identify predictors of Caesarean Delivery in singleton pregnancies complicated by P-PROM. MATERIALS AND METHODS: This is a retrospective observational study of all consecutive singleton P-PROM deliveries (24-37 weeks) over an 18 months at a tertiary referral centre. Pertinent data was collected comprising demographics, obstetric history, pregnancy-associated pathology and delivery from electronic patient records. Univariate statistical analysis comprised Odds Ratio, 95% Confidence interval and Chi-square test with subsequent p-value with statistical significance set at p < 0.05. RESULTS: A total of 240 women delivered singletons following P-PROM over an 18-month period. Maternal age ranged between 12-41 years with an average age of 28 ± 6.27 years. Vaginal delivery (VD) was the predominant mode of delivery, accounting for 52.9% (n = 127) of deliveries. The following parameters were identified as predictors of Caesarean Section (CS) in P-PROM: vaginal infection (p = 0.04), previous CS (p < 0.0001), primiparity (p = 0.004), gravidity > 5 (p = 0.009), university education (p = 0.0006) and prenatal care (p < 0.0001). CONCLUSION: The advantage of CS over vaginal delivery is expedited delivery of the distressed fetus, while that of vaginal delivery entails avoiding postoperative morbidity. However, large multicentric randomised-controlled studies are needed to elucidate this dilemma definitively.
A Sparse Representation-Based Wavelet Domain Speech Steganography Method

In this paper, we present a novel speech steganography method using discrete wavelet transform and sparse decomposition to address the undetectability concern in speech steganography. The proposed speech steganography method exploits the sparse representation to embed secret messages into higher semantic levels of the cover signal, resulting in increased undetectability. The proposed method also yields improvements on both stego signal quality and embedding capacity, which are the two major requirements of a steganography algorithm. Our experimental results illustrate that the stego signals generated by the proposed method are perceptually indistinguishable from the original cover signals, quantified by both SNR and PESQ quality measures. When compared with two well-known steganography methods, the proposed method is shown to be superior on addressing major requirements of a steganography algorithm, imperceptibility, undetectability, and capacity.
A Foucault Primer: Discourse, Power and the Subject

Who are we today? That deceptively simple question continued to be asked by the French historian and philosopher, Michel Foucault, who for the last three decades has had a profound influence on English-speaking scholars in the humanities and social sciences. ; This text is designed for undergraduates and others who feel in need of some assistance when coming to grips with Foucault's voluminous and complex writings. Instead of dealing with them chronologically, however, this book concentrates on some of their central concepts, primarily Foucault's rethinking of the categories of "discourse", "power", and " the subject". ; Foucault's writings contribute collectively to what he himself calls "an ontology of the present". His historical research was always geared towards showing how things could have been and still could be otherwise. This is especially the case with respect to the production of human subjects.