Miracle-dz/UniFAR-FTUs huggingface dataset:
Pointer-Generator Abstractive Text Summarization Model with Part of Speech Features

The typical sequence-to-sequence with attention mechanism models have achieved good results in the task of abstractive text summarization. However, this kind of models always have some shortcomings: they have out-of-vocabulary (OOV) problems, sometimes may repeat themselves and are always of low quality. In order to solve these problems, we propose a pointer-generator text summarization model with part of speech features. First, we use the word vector and prat of speech vector as the input of the model, and then improve the quality of generated abstracts by combining convolutional neural network (CNN) and bi-directional LSTM. Second, we use pointergenerator network to control whether generating or copying words to solve the problem of OOV. Finally, we use coverage mechanism to monitor the abstract we have generated to avoid duplication problems. Compared with the classic pointergenerator network, the ROUGE scores of our model have greatly improved and the performance on LCSTS dataset is better than the state-of-the-art model at present.
Prevalencia de sobrepeso, obesidad y dislipidemia en trabajadores de salud del nivel primario

Dyslipidemia and obesity are modifiable risk factors of cardiovascular risk. To determine the prevalence of overweight, obesity and dyslipidemia in health care workers. Cross-sectional study was conducted. It carried out a sampling random with affixation proportional. The sample size was 123 health care workers. Body mass index and waist circumference anthropometric technique was evaluated. Considered high total cholesterol > 200 mg/dl, high LDL-C> 100 mg/dl, low HDL-C (men HDL-C<40 mg/dL and women HDL-C<50 mg/dl), and triglycerides≥ 150 md/d. The prevalence of hypercholesterolemia was 30.1%, 40.5% triglycerides, 69.3% low HDL-C, high LDL-C 55.2%, and global dyslipidemia was 87.7%. The median triglycerides (p = 0.034) and LDL-C was higher in males than in females (p=0.038). The dyslipidemia increased as age increased in LDL-C (p=0.015). Dyslipidemia, overweight, obesity and obesity abdominal were higher in workers women. The prevalence of overweight was 41.1%, 25.8% obesity and the obesity abdominal was 37.5%. The prevalence of dyslipidemia global was high and more than half of health workers were overweight or obese and one-third had abdominal obesity.
Out-of-the-Box Reproducibility: A Survey of Machine Learning Platforms

Even machine learning experiments that are fully conducted on computers are not necessarily reproducible. An increasing number of open source and commercial, closed source machine learning platforms are being developed that help address this problem. However, there is no standard for assessing and comparing which features are required to fully support reproducibility. We propose a quantitative method that alleviates this problem. Based on the proposed method we assess and compare the current state of the art machine learning platforms for how well they support making empirical results reproducible. Our results show that BEAT and Floydhub have the best support for reproducibility with Codalab and Kaggle as close contenders. The most commonly used machine learning platforms provided by the big tech companies have poor support for reproducibility.
State of Health Prediction of Lithium-ion Batteries Using Accelerated Degradation Test Data

Lithium-ion (Li-ion) batteries are core equipment of Electric Vehicles (EVs) and they are expected to spread out through smart power systems (e.g., Smart Grids (SGs)). Batteries are subject to degradation over time, which gradually reduces the supplied voltage and capacity until they fail to meet minimum requirements. Battery prognostic is mandatory in order to keep track of the degradation over time and in order to schedule maintenance and replacement before failures, which can cause severe damages and harmful effects on EVs and SGs. However, the estimation of the State of Health (SoH) and of the Remaining Useful Life (RUL) of batteries is not trivial, since they cannot be directly measured. Predictive models should be therefore applied to accomplish this task, by linking SoH and/or RUL to variables measured during previous charge/discharge cycles (e.g., capacity, voltage, current, temperature). In this paper, a Multiple Linear Regression (MLR) model is developed to predict the SoH of batteries on the basis of historical data. The model exploits data collected for the battery under investigation and collected data of batteries characterized by Accelerated Degradation Tests (ADTs). Predictions of the RUL, given in terms of number of remaining charge/discharge cycles, can be further extracted from predictions of the SOH obtained through the proposal. Numerical experiments based on actual data are presented to validate the performance of the proposal.
Stochastic Effect of Fracture Toughness and Toughening Mechanism on Nanocrsyalline materials Size Variants Produced by Accumulative Roll-Bonding (ARB)

The current studies focus on the varying approaches of measuring nanomaterial’s fracture toughness and toughening mechanism during grain refinement by accumulative roll bonding. It is very difficult to compare and correlation results of nanomaterial mechanical properties. This is due to the varying top down and bottom up approaches of manufacturing nanomaterials. There are other problem due to varying means of defining strain, varying means of imposing strain on the material and varying mathematical equation used in modeling. The tool of stochastic mechanics and fracture mechanics were used to model the physical activity that takes place during ARB process. The following facts were experimentally revealed and validated. It was revealed that varying directions of measuring grain sizes have varying effects on yield stress and fracture. It was also shown that grain boundaries with higher grain curvatures have more enhanced fracture toughness and cracks propagation is lower. The varying fracture toughness on nanomaterial’s size variants were due to varying grain size curvature and grain orientation during deformation.
Current Pulses to Control the Conductance in RRAM Devices

Due to the high number of reachable conductance levels in resistive switching devices, they are good candidates to implement artificial synaptic devices. In this work, we have studied the control of the intermediate conductance levels in HfO2-based MIM capacitors using current pulses. The set transition can be controlled in a linear way using this kind of signal. The potentiation characteristic is not affected by the pulse length due to the filament formation takes place in very short times. This behavior does not allow using identical pulses to obtain the potentiation characteristic. The transient response of the devices when applying current pulses showed the filament formation is characterized by a peak in the voltage transient signal. No depression characteristic can be obtained using current signals due to the abrupt reset transition. However, the depression characteristic can be obtained using voltage pulses, so combining both signals should allow control the synaptic weight in an appropriate way.
Immunocontraceptive vaccines against brucellosis and population growth in feral swine

Feral swine are a nuisance species across the United States that costs around $1.5 billion each year in agricultural, environmental, and personal property damages. In the last ten years the population of feral swine is estimated to have quadrupled and novel population control methods are needed. Furthermore, feral swine are known carriers of zoonotic diseases such as brucellosis, which threatens both livestock biosecurity and public health. Recombinant multimeric gonadotropin-releasing hormone (mGnRH) has been previously used as a subunit vaccine to induce immunocontraception in feral pigs. However, potent adjuvants and large amounts of purified antigen are needed to elicit a robust anti-GnRH immune response and current delivery methods are limited. Brucella suis strain VTRS2 can be used as a novel platform to deliver mGnRH without the use of antibiotic resistant markers. Strain VTRS2 was created by deletion of the LPS biosynthesis gene wboA as well as the leuB gene required for leucine biosynthesis inside the nutrient-depleted intracellular environment occupied by Brucella. Mutations in wboA are known to attenuate Brucella strains such as the vaccine strain B. abortus RB51, however strain RB51 is rifampin resistant and has poor efficacy in swine. Strain VTRS2 confers significant protection against B. suis challenge in mice and additionally shows evidence of protection in feral swine. Furthermore, the mGnRH antigen can be delivered using the pNS4 plasmid (which expresses leuB under its native promoter) thus maintaining the plasmid in strain VTRS2 under leucine-deficient conditions while expressing recombinant antigen in the host. The
Improved Resistive Switching Behavior in Solution-processed AlOx based RRAM

In this study, a comprehensive comparison in light of the switching behavior has been made to the AlOxdielectrics in Resistive Random Access Memory (RRAM) devices, which were fabricated with solution-processed (SP) and atomic-layer-deposition (ALD) based techniques under the same temperature (250°C). The improved resistive switching properties such as smaller Vset/Vreset (1.2~1.8 V/−0.9~−1.3 V), a narrower RHRs/RLRs distribution (2~80 k Ω /0.8~1 k Ω) and a higher resistance ratio (8~230) under 5 mA compliance current (CC) have been achieved with SP method. The conduction mechanisms of the ON and OFF state for both devices are the ohmic conduction and Frenkel-Poole emission, respectively. Therefore, the solution-based fabrication method has the potential application for the flexible memory, due to the fabrication merits of the low-temperature, low cost, large area implementation and being environmental-friendly.
Processing and Visualization of Medical Data in a Multiuser Environment Using Artificial Intelligence

New technologies can change the way we process and display medical data, which can fundamentally affect the correct diagnosis and treatment of various diseases. This paper maps the situation of new technologies in medicine, such as virtual reality and ways of using artificial intelligence in the last 6 years and proposes new approaches to the use of these technologies based on the experience gained so far in Slovakia and in the world. We focused mainly on diseases of the central nervous system such as diagnosis and treatment of tumours, Parkinson's disease and stroke related to our projects. In the last part of our case study we will evaluate the experience and results obtained so far in clinical studies in stereotactic radiosurgery operations. We will also evaluate the existing research activities in two hospitals in Slovakia and the possibilities of further research in our projects.
Offloading Schemes in Mobile Edge Computing With an Assisted Mechanism

Mobile edge computing (MEC) is a promising paradigm for providing computing and storage capabilities in close proximity to mobile devices. To solve the scenario in which massive mobile devices have tasks to be processed at the same time, this paper proposes an assisted mechanism for the MEC system. When the primary MEC server is unable to meet the delay requirements of the mobile devices within its coverage area, a portion of the tasks can be offloaded to secondary MEC servers to obtain extra resources for processing. This MEC framework effectively reduces the computing and communication burden of the primary MEC server and improves the resource utilization of the secondary MEC servers. To maximize the system offloading utility in terms of latency, we formulated an optimization problem that jointly optimizes the task assignment, computing resource allocation and offloading decision of all mobile devices. Since the formulated problem is a mixed integer nonlinear problem, we use the decomposition method to convert the optimization problem into several subproblems. In addition, a heuristic algorithm based on the priorities of mobile devices and the MEC servers is proposed to obtain the suboptimal device offloading strategy. The numerical results show that the assisted mechanism can effectively reduce system latency and improve system reliability. In addition, the performance of our proposed algorithm is close to the optimal solution.
Disturbance Observer-Based Finite-Time Speed Control for Marine Diesel Engine With Input Constraints

In this article, a finite-time observer-based speed control strategy for the marine diesel engine is proposed with consideration of system parameter uncertainties, external disturbances and input constraints. Initially, a finite-time disturbance observer is designed, by which the synchronized uncertainties are accurately estimated in the sense of finite-time stability. Based on the observed information, a speed control strategy is proposed, and practical finite-time stability of the closed-loop system is demonstrated by rigorous theoretical analysis. Besides, for solving the input constraints inherent with the speed control system, an auxiliary variable is introduced to compensate the extra part of control output signals. Finally, numerical simulation and comparison are presented. The common operation situations of the marine diesel engines are taken into account, including starting, acceleration and deceleration between speed set points, sudden load changing, varied propulsion system parameters and different slope limits, etc. Comparing with the related existing method, the effectiveness and advantages of the proposed finite-time observer-based control law are illustrated.
Optimizing the Safety of Multidrug-resistant Tuberculosis Therapy in Namibia

Introduction: Multidrug-resistant tuberculosis (MDR-TB), a growing global menace, is seriously undermining the previous successes made in the elimination of TB. MDR-TB treatment takes a long time, is complex, and is frequently associated with the occurrence of adverse drug reactions, some of which could severely diminish a person’s health-related quality of life (HRQoL). Research objectives were to determine the occurrence, risk factors and clinical management of adverse events (AEs) associated with MDR-TB treatment; to examine the epidemiology of serious AEs of aminoglycosides in the presence or absence of HIV infection - with or without antiretroviral therapy (ART); and to assess the link between the occurrence of AEs and patients’ perception of their HRQoL at the end of MDR-TB treatment. Methods: This study mainly used observational epidemiologic methods, based on retrospective data collected from medical records of patients treated for MDR-TB in Namibia. Electronic and manual MDR-TB treatment records, audiometry and laboratory test results, were used. Data on patients’ demographic variables, medication exposure, HIV status, presence or absence of AEs were extracted. This was complemented with the WHO global pharmacovigilance data in VigiBase® and patient interviews on their HRQoL perceptions at the end of MDR-TB treatment. Various descriptive and analytic methods were used to summarize the data and to assess the association between drug exposure, covariates and AE occurrence. Results: Adverse events of varying severity were predominant during the intensive phase of MDR-TB treatment. These included gastrointestinal tract AEs (64%), tinnitus (45%), joint pain (28%) and decreased hearing (25%). About 10% of patients experienced serious AEs that were potentially debilitating. HIV co-infected patients experienced more moderate-to-severe AEs compared to the HIV uninfected patients (median 3 AEs versus 1 AE, p=0.01). The cumulative hazard ratio (HR) of moderate-to-severe AEs relative to HIV uninfected patients was HR=4.0; 1.5 – 10.5. Moderate-to-severe AEs were the main determinant of a clinician’s decision to reduce the dose or to stop the suspected offending medicine (RR=3.8; 1.2-11.8). Patients tended to rate moderately low their HRQoL upon completing MDR-TB treatment. The occurrence of AEs was unrelated to HRQoL scores. Amikacin had a higher risk of hearing loss compared to kanamycin (adjusted odds ratio (OR) = 4.0; 1.5–10.8). Patients co-infected with HIV (OR = 3.4; 1.1–10.6), males (OR = 4.5; 1.5–13.4) and those with lower baseline body weight (40–59 kg, OR = 2.8; 1.1–6.8) were most at risk. There was an increased risk of renal insufficiency among patients who concomitantly received kanamycin plus ART as compared to those who received kanamycin alone (HR=3.5; 1.4-8.2).
Low On-Resistance H-Diamond MOSFETs With 300 °C ALD-Al2O3 Gate Dielectric

C-H diamond metal-oxide-semiconductor field effect transistors with different structures were fabricated on the same polycrystalline diamond plate. Devices A and B with 25-nm-thick high temperature (300°C) atomic layer deposition grown Al<sub>2</sub>O<sub>3</sub> dielectric have the same source-to-drain distance of <inline-formula> <tex-math notation="LaTeX">$6~\mu \text{m}$ </tex-math></inline-formula> and different gate length of <inline-formula> <tex-math notation="LaTeX">$2~\mu \text{m}$ </tex-math></inline-formula> and <inline-formula> <tex-math notation="LaTeX">$6~\mu \text{m}$ </tex-math></inline-formula>, respectively. Both devices show ultra-high on/off ratio of over 10<sup>10</sup> and ultra-low gate leakage of below 10<sup>−10</sup> A and continuous measurement stability. Device B with the source/drain-channel interspaces eliminated has achieved an on resistance of <inline-formula> <tex-math notation="LaTeX">$46.20~\Omega \cdot $ </tex-math></inline-formula>mm, which is record low in the reported 6-<inline-formula> <tex-math notation="LaTeX">$\mu \text{m}$ </tex-math></inline-formula> H-diamond MOSFETs with the gate dielectric prepared at high temperature (≥ 300°C). Meanwhile, device B shows larger drain current in a large portion of the linear region at V<sub>GS</sub> = −6 V, and a just slightly smaller I<sub>Dmax</sub> compared with device A though its L<sub>G</sub> is three times of that of device A. A simple model of I<sub>D</sub> was used to explain the physics behind this phenomenon. In addition, the breakdown voltage is 145 V for device A and 27 V for device B, corresponding to the average breakdown field of about 0.72 MV/cm and 10.8 MV/cm, respectively.
Multimodality imaging approach to blunt abdominal trauma in a tertiary care center in North India

Background: Evaluating patients who have sustained blunt abdominal trauma (BAT) remains one of the most challenging and resource-intensive aspects of acute trauma care. This study was conducted to evaluate the correlation of ultrasonography (USG) and computed tomography (CT) in detecting the visceral injuries with the assessment of their diagnostic indices. X-ray was done in cases of suspected bowel injuries. Materials and Methods: This prospective cross-sectional study was conducted in the Department of Radiodiagnosis, Imaging and Interventional Radiology, at CSS Hospital, Subharti Medical College, Meerut, Uttar Pradesh, India, for 2 years. Eighty-two patients of BAT were evaluated using investigations such as X-ray (wherever required), USG, and CT scan during the study. Results: Majority of the patients were from the age group of 21 to 40 years with predominance of male (69.5%). Hemoperitoneum associated with visceral injuries were the major findings detected by both USG (70.7%) and CT (81.7%). Sensitivities of USG for the detection of spleen, liver, kidney, and pancreatic injuries were 95%, 94%, 66.6%, and 40%, respectively, while the sensitivity of CT for the detection of liver, spleen, kidney, and pancreas was 100%. Conclusion: CT is highly sensitive, specific, and accurate in detecting the presence or absence of injury in BAT and defining its extent. However, USG still remains the initial investigation of choice.
A cross-sectional study of internalized stigma in euthymic patients of bipolar disorder across its predominant polarity

Introduction: Patients with bipolar affective disorder (BPAD), when classified according to their predominant polarity (PP), tend to show differences in their clinical correlates. Patients with BPAD show significant internalized stigma. The current study was conducted to investigate the differences in internalized stigma between various PP in BPAD. Methods: Seventy-five euthymic patients with BPAD were recruited and classified into their PP using appropriate criteria (two-thirds predominance). They were compared on the scores of the Stigma Scale (SS), Rosenberg Self-Esteem Scale (RSES), Participation Scale, and World Health Organization Quality of Life-BREF version – Hindi (QOL-BREF). Results: No significant differences were observed among the various PP on the total scores of SS. Patients with manic PP (MPP) and indeterminate PP (IPP) showed more difficulty in disclosure compared to depressive PP (DPP). In MPP and DPP, years of completed education, self-esteem, participation, and QOL were correlated to discrimination, but no such trend could be observed for IPP. Conclusion: Internalized stigma in individual PP is different from the attributes that affect BPAD as a whole. Although the groups did not differ in terms of internalized stigma, patients with DPP faced higher difficulty and disclosure. Subtle trends emerged which should be kept in mind while forming antistigma measures. Small sample size, purposive sampling, and cross-sectional design were the major limitations of this study.
Free and liposome form of gallic acid improves calvarial bone wound healing in Wistar rats

Objective: To evaluate the effect of free and liposome form of gallic acid on bone regeneration in critical defects in Wistar rats. Methods: Thirty-two female Wistar rats were divided into four study groups: group 1, negative control; group 2, positive control; group 3, gallic acid powder; group 4, gallic acid liposome. A critical-sized defect was created in all rats. Groups 2 to 4 had xenograft, autograft and membrane placement while negative control rats did not receive any treatment. The defect area was sutured and rats were kept alive for 30 d. At the end of the study, a bone specimen including the defect area was removed from calvaría. All specimens were evaluated under the stereomicroscope, then underwent histological analysis. Inflammatory cell counts, osteoblast, osteoclast counts, receptor activator of nuclear factor κ-B (RANKL), osteoprotegerin (OPG), runt-related transcription factor 2 (Runx2), bone morphogenetic protein-2 (BMP-2), and alkaline phosphatase were determined. Results: The biggest unhealed defect area was observed in the negative control group and the smallest was observed in the gallic acid liposome group. There were no differences between the positive control group vs. the gallic acid powder group and the gallic acid powder group vs. the gallic acid liposome group. The severity of inflammation was the highest in the negative control group and the lowest in the gallic acid liposome group with significant differences between the groups. All groups had similar osteoblast counts while osteoclast counts were the highest in the positive control group. Gallic acid groups had a lower number of osteoclasts compared with the positive control group. Runx2 and alkaline phosphatase levels were similar in the groups while OPG and BMP-2 levels exhibited a significant increase compared with the negative control group and the positive control group. RANKL was similar in the negative control group, the positive control group, and the gallic acid powder groups but decreased in the gallic acid liposome group. Conclusions: Gallic acid powder and liposome significantly improve bone regeneration in Wistar rats with calvarial defects. The improvement in healing is evident with decreased inflammation and RANKL expressions and increased OPG and BMP-2 expressions.