Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification SINGLE-LEAD ECG by using conventional neural network algorithm

Cardiac disease, including atrial fibrillation (AF), is one of the biggest causes of morbidity and mortality in the world, accounting for one third of all deaths. Cardiac modelling is now a well-established field. The Convolutional Neural Network (CNN) algorithm offer a valuable way of gaining insight into the dynamic behaviors of the heart, in normal and pathological conditions. Great efforts have been put into modelling the ventricles, whilst the atria have received less focus. This research therefore concentrates on developing models of the heart ECG atria using deep learning. The research developed an experimental result on MIT-BIH dataset for modelling myocyte electrophysiology and excitation waves in 1D & 2D tissues. It includes optimizations such as adaptive stimulus protocols. As examples of application, it is used to investigate effects of a novel anion bearing current on heart atrial excitation and the effect of remodeling on atrial myocyte electrical heterogeneity. A computationally efficient modified CNN anatomically based model of the heart atria is constructed. The aim of this work is to improve the current modified 3D-CNN model includes heterogeneous,theophysically detailed electrophysiology and conduction anisotropy. The full model activates in 121 ms in heart rhythm, in close agreement with clinical ECG data. The model is used, with the toolkit, to investigate the function effects of S140G mutation in MIT-BIH dataset which is associated with familial. The 3D-CNN model forms the core of a boundary element model of the P-wave Body Surface Potential (BSP). The modified CNN model incorporates representations of the heart blood masses. Generated ECGs show qualitative agreement with clinical data. Their morphology is as expected for a healthy person, with a lead duration of 103 ms. The modified CNN model is used to verify an existing algorithm for focal atrial tachycardia location and in providing explanation for a novel clinical phenomenon, using CNN with 99.27% accuracy. Models of the human atria and body surface potential are constructed. The models are validated against both experimental and clinical data. These models are suitable to use as the platform for further research.
Degree of Standardization and Innovation Capability Dimensions as Driving Forces for Innovation Performance

Purpose: In 2019, the International Organization for Standardization (ISO) published the first international Management Standard (MS) for innovation management, the ISO 56002:2019, following previous successful MS as ISO 9001 and ISO 14001. Within this framework, this paper discusses the relationship between the implementation of MS and the Innovation capabilities (IC) and Innovation Performance (IP) the company. In other words, the article analyses whether the greater degree of standardization (DS) in firms, combined with some IC dimensions, positively influence the IP of firms. Methodology/Approach: As the number of ISO 56002 implementations is still not very high and it is not certifiable yet, a survey has been carried out considering the spanish certifiable homologue standard UNE 166002 combined with other ISO standards such as ISO 9001, ISO 14001, ISO-TS 16949, OHSAS 18001 and/or others. The suvey has been responded by 73 certified companies; and a further fuzzy set Qualitative Analysis (fsQCA) has been performed. Findings: The paper confirms that at least three main dimensions of IC influence positively the IP, namely: strategy, market, and structure and network. It is also confirmed that the DS is clearly a positive contributor to a higher IP. Research Limitation/Implication: The data are gathered in only one specific country, although it is one of the few that had national certifiable standards specifically developed for innovation management. Originality/Value of paper: The main value of the article is to be one of the first ones to analyse, in any way, the impact of the degree of standardization (including or not the innovation MS as for instance the ISO 56002 or the UNE 166002) on the IC and IP of the company.
A novel method for predicting the geochemical composition of tailings with laboratory field and hyperspectral airborne data using a regression and classification-based approach

ABSTRACT The increasing demand for precise and dependable models has led to the development of both sensors and statistical algorithms. However, numerous studies have demonstrated that model performance is highly dependent on a range of environmental factors, such as spatio-temporal fluctuations of moisture, sensor type, sample variability, preprocessing methods, and model selection. These factors can impact prediction results, leading to erroneous comparisons across lab, field, or imaging models. Samples for this study were collected from a tailing settling basin of a porphyry copper deposit near Erdenet, Mongolia. The database contains lab and field spectra and hyperspectral imagery from a HySpex imaging sensor. In this study we propose a workflow that includes a simulation that yields an appropriate regression threshold while addressing data-driven uncertainty. The workflow consists of two regression models and five classification models at different scales for quantitative geochemical, mineralogical, and textural prediction of tailing samples. Each model is compared to the acquisition space's performance potential. Acceptable R2 values for regression models are 0.58 for laboratory, 0.40 for field, and 0.31 for hyperspectral airborne data. Results of this study are not limited to tailing samples but can be applied on other fields of research such as geology, pedology or agriculture.
Adaptive Finite Element Algorithms of Optimal Complexity

This thesis is dedicated to the design and analysis of optimal algorithms for solving partial differential equations (PDEs). We are primarily interested in the development of efficient algorithms, with respect to computer memory usage and execution time, for solving numerically PDEs. A new adaptive finite element method for solving the Stokes equations is developed, which is shown to converge with the best possible rate. We have implemented this adaptive algorithm and we present a discussion of the numerical performance of our method for the Stokes problem on an L-shaped domain.
Fabrication of a Novel (PVDF/MWCNT/Polypyrrole) Antifouling High Flux Ultrafiltration Membrane for Crude Oil Wastewater Treatment

The present work deals with the fabrication of novel poly(vinylidene fluoride) (PVDF)/Multi-wall Carbon Nanotubes (MWCNT)/Polypyrrole (PPy) ultrafiltration membrane by phase inversion technique for the removal of crude oil from refinery wastewater. In situ polymerization of pyrrole with different concentrations of MWCNT ranging from 0.025 wt. % to 0.3 wt. % in PVDF prepared solutions. Measurement of permeability, porosity, contact angle, tensile strength, zeta potential, rejection studies and morphological characterization by scanning electron microscopy (SEM) were conducted. The results showed that membrane with (0.05% MWCNT) concentration had the highest permeability flux (850 LMH/bar), about 17 folds improvement of permeability compared to pristine PVDF membrane. Moreover, membrane rejection of crude oil reached about 99.9%. The excellent performance of this nanocomposite membrane suggests that novel PVDF modification with polypyrrole had a considerable effect on permeability with high potential for use in the treatment of oily wastewater in the refinery industry.
Taming the Global Financial Cycle: Central Banks as Shock Absorbers in the First Era of Globalization

The Classical Gold Standard period, with high capital mobility and fixed-exchange rates, is usually seen as the extreme case of international constraints on monetary policy. Contrary to this view, we show how central bank balance sheets offset the effects of international shocks on domestic interest rates. In contrast, in the United States, a gold standard country without a central bank, the reaction of money market rates was two to four times stronger than that of interest rates in countries with a central bank. Our study is based on the monthly balance sheets of all central banks in the world (i.e., 21) from 1891–1913.
Cohen-Macaulayness in graded rings associated to ideals

A solid arrow shaft front extension portion or ferrule having a plurality of offset slots parallel to tangents to the shaft for replaceable and interchangeable devices or blades of general triangular or other shape held at their forward end in the slots by an interchangeable screw-in tip and at their rearward end by a deformable collar urged into locking the devices in position by screwing of the rear shank of the shaft extension or arrowhead into the front socket of the arrow shaft. If desired, between the collar and the end of the arrow shaft there may be provided one or more weight washers and/or a resilient locking washer for adjusting the angularity of the blades with respect to the nock at the rear of the arrow shaft.
α-Pinene Influence on Pulpal Pain-Induced Learning and Memory Impairment in Rats Via Modulation of the GABAA Receptor

Background: This study investigated the effect of central administration of α-pinene and the interaction of α-pinene with GABAA receptor on pulpal nociception-induced changes in learning and memory performances in rats. Materials and Methods: Sixty-six adult male Wistar rats were used. Pulpal nociception was induced by intradental application of capsaicin (100 μg/rat). α-pinene (0.1, 0.2, and 0.4 μg/rat) was injected centrally 10 min before the administration of capsaicin. In addition, α-pinene (0.4 μg/rat) was co-injected with bicuculline (0.5 μg/rat). Spatial and passive avoidance learning and memory were assessed using Morris water maze (MWM) and shuttle box tasks, respectively. Results: Experimental results of the MWM test showed that capsaicin increases escape latency and distance traveled to the hidden platform (P < 0.01). The effect was prohibited by α-pinene at the dose of 0.4 μg/rat. Moreover, capsaicin-treated animals spent less time in the target zone than capsaicin + α-pinene (0.4 μg/rat)-treated rats (P < 0.05). In the shuttle box test, α-pinene (0.2 μg and 0.4 μg) prevented an increased number of acquisition trials and time spent in the dark chamber induced by capsaicin, whereas it increased step-through latency (P < 0.01). However, the effects of α-pinene (0.4 μg/rat) in both tests were prohibited by bicuculline (0.5 μg/rat). Conclusion: The data showed that central administration of α-pinene might reduce pulpalgia-induced learning and memory impairment, at least partially, via modulation of GABAA receptors.
Mapping hawala risks around the world: the use of a composite indicator

ABSTRACT The aim of this study is to map the landscape of risk faced by each country with respect to the presence and prosperity of informal fund transfer (IFT) systems. This study constructed a composite indicator to assess IFT risks of the 121 countries. The IFT risk that this study intended to gauge is not crime risk(s) that IFT systems cause but risk that IFT systems operate and prosper in given countries. The IFT risk indicator was developed with eleven variables extracted from public domain datasets regarding migration, access to formal financial institutions, AML/CFT measures, and societal attitudes towards informality. Routine activity theory was used to derive the factors associated with IFT risk. This study found that the level of IFT risk is associated with their levels of economic development. The main advantage of the IFT risk indicator is that it can gauge ‘nuanced’ differences in IFT risks among countries.
Lithium intercalation in 2H-LixTaS2

The authors describe electrochemical, X-ray diffraction and theoretical studies of 2H-LixTaS2. At room temperature this compound shows lithium order-disorder transitions near x=1/3 and x=2/3 and a stage-2 structure near x=0.12. Calculations using a lattice gas model of intercalation are in good agreement with results from electrochemical and X-ray measurements. They also compare intercalation in LixTiS2 and 2H-LxTaS2.
The Simultaneous Detection of Multiple Antibiotics in Milk and Pork Based on an Antibody Chip Biosensor

In the modern farming industry, the irrational or illegal use of veterinary drugs leads to residues in animal-derived food, which can seriously threaten human health. Efficient detection of low concentrations of drug residues in animal products in a short time is a key challenge for analytical methods. This study proposes to use an antibody chip biosensor for rapid and automated analysis of cephalosporins, aminoglycosides, and sulfonamide antibiotics in pork and milk. 3D polymer slides were applied for the preparation of antibody chips. Ovalbumin (OVA) or bovine serum albumin (BSA) conjugates of the haptens were immobilized as spots on disposable chips. Monoclonal antibodies (mAbs) against cefalexin, ceftiofur, gentamicin, neomycin, and sulfonamides allowed the simultaneous detection of the respective analytes. Antibody binding was detected by a second antibody labeled with Cy3-generating fluorescence, which was scanned a with chip scanner. The limits of detection (LOD) for all the analytes were far below the respective maximum residue limits (MRLs) and ranged from 0.51 to 4.3 µg/kg. The average recoveries of all the analytes in each sample were in the range of 81.6–113.6%. The intra- and inter-assay CV was less than 12.9% and showed good accuracy and precision for all the antibiotics at the MRL level. The sample pretreatment method is simple, and the results are confirmed to be accurate by LC–MS/MS; therefore, this method is valuable for the quality control of animal-derived food.
Evaluation of Growth Hormone Deficiency in Children with Cystic Fibrosis

Background: Due to chronic respiratory and gastrointestinal problems, growth failure is a common issue in patients with cystic fibrosis (CF). The present study aimed to investigate the prevalence of growth hormone deficiency (GHD) in CF children with stable gastrointestinal and respiratory conditions. Materials and Methods: In this study, the growth indicators of all 4–16-year-old children referred to two CF clinics were monitored over 3 years. Children without severe gastrointestinal or pulmonary symptoms with weight <3% percentile or whose height increase were two standard deviations below their expected height growth over 6 months were selected for the growth hormone (GH) stimulation test by clonidine and L-dopa test. Some of the children without CF, who were also referred for height growth disorders and matched the CF group, were considered the control group. They underwent the GH stimulation test, and the results were compared. Results: From 150 patients with CF, growth failure was observed in 24 patients with stable gastrointestinal and respiratory conditions; in 10 of them, the GH stimulation test was deficient. The prevalence of GHD was 6.6% in CF patients. In the control group of 30 children without CF, but with growth failure, the GH was deficient in nine cases, implying no significant difference with the case group (P = 0.37). Conclusion: In our study, the prevalence of GHD was 6.6% in CF patients, whereas the prevalence GHD in the normal population of childhood is <1%. Therefore, further studies should be designed to investigate the cause of GHD in CF patients.
Pet Ownership and Wellbeing During the COVID-19 Pandemic: The Importance of Resilience and Attachment to Pets

ABSTRACT The governmental restrictions in the early stages of the COVID-19 pandemic led to social isolation, with many people spending more time at home with their pets. The relationships between pet ownership, pet attachment, and wellbeing were examined using two online surveys: one in the early stages of the pandemic (May, 2020) and the other over one year later (September, 2021). Resilience, optimism, and basic psychological need satisfaction (i.e., autonomy, competence, and relatedness) were examined as potential moderators. Study 1 had an international sample of 495 participants (70% pet owners), while study 2 had a UK sample of 243 participants (57% pet owners). Most participants reported that their pets provided emotional comfort and had a positive impact on their lives during the early stages of the pandemic. Pet ownership and pet attachment were positively associated with wellbeing in people with low levels of resilience. Conversely, people with high resilience who were pet owners or had higher pet attachment had lower wellbeing than non-pet owners and those less attached. Optimism and basic psychological need satisfaction were not significant moderators. Although some of the associations found in study 1 might have been specific to the beginning of the pandemic, other results were replicated a year later in the UK sample when social restrictions were eased (study 2). The findings from the two studies suggest that higher scores on a subscale of pet attachment, which involves the pet playing a more central role than humans in the owner's life, might be directly linked to lower resilience and wellbeing and increased loneliness. The combination of high resilience and higher levels of pet attachment or pet ownership might be unfavorable. Nonetheless, pet ownership and healthy human–animal bonds can be protective factors for people with low levels of resilience.
CEO performance management behaviors’ influence on TMT flourishing, job attitudes, and firm performance

Does a chief executive officer’s (CEO’s) ability to manage and motivate their direct reports impact firm financial performance? Good or bad, CEO leadership research is increasingly romanticized, leading to investigations of CEO traits as visionary and transformational behaviors at the expense of understanding whether the mundane, everyday management of a top management team (TMT) is important for firm performance. In this article, we developed and tested a model linking CEO performance management behaviors and firm performance through two mediating mechanisms. We hypothesized and found a positive relationship between CEO performance management behaviors and TMT flourishing. TMT flourishing related to TMT overall job attitudes and subsequently firm performance. Additionally, performance management behaviors were related to TMT overall job attitudes via TMT flourishing and performance management behaviors related to firm performance via TMT flourishing and job attitudes. Our analyses were based on a unique sample of 105 CEOs and 519 TMT members (60% response rate for CEOs and 90% response rate for TMT members). These findings provide important research directions for CEO research, performance management, upper echelons, and positive psychology research, highlighting the importance of CEO managerially oriented behaviors to create more optimally functioning environments for the TMT and organization.
Nanobelts of the dielectric material Ge3N4

Ge3N4 nanobelts 30–300 nm in width were synthesized by thermal reduction of a mixed Ge+SiO2 powder in NH3 atmosphere. These nanobelts were studied by high-resolution transmission electron microscope equipped with an x-ray energy dispersive spectrometer. In these synthesized nanobelts, the existence of α and β phases of Ge3N4 was identified. The α phase exhibiting slight difference from an ideal α-Ge3N4 phase was also found in the present Ge3N4 material. The mechanism of formation of the Ge3N4 nanobelts is discussed.
Stock Market Response to Unexpected Dividend Changed in Indonesia

The writer finds that bond rating and dividend can change the firm value. Specifically, when a firm with bond rating has an increase in their dividend, their firm value will decrease. While when the firm without bond rating has an increase in their dividend, their firm value will also increase. It is very strange as to why the firm with bond rating can decrease in their firm value when their dividend is increasing. In this research, the writer explains this phenomena. Besides explaining this phenomena, the writer also can prove that bond rating and dividend is really critical in determining the firm value by conducting two researches (firm with and without bond rating) which other researchers have not done yet. The data that will be using is the firms with and without bond rating in Indonesia between 2007 and 2016.
Industrial Hemp Clone Selection Method under LED Smart Farm Condition Based on CBD Production per Cubic Meter

Cannabis breeders are combining several genes to develop economically valuable fiber, seed, and medicinal hemp. This study analyzed the characteristics and selection of traits based on cannabidiol production of medicinal cannabis lines successfully grown under artificial light and nutrient solution cultivation conditions in smart farm conditions. Sixteen female plants were selected by seeding medical hemp F1 hybrid specimens obtained by randomly crossing Cherry Wine and native hemp from each country. The F1 generation was treated with 12 h light to induce flower differentiation. CBD production peaked on day 50 of the treatment, and this was selected as the harvesting day. All F1 hybrids were separated by leaf and inflorescence after collecting morphological data, and fresh and dry weights were measured. The CBD production of leaf and inflorescence per cubic meter was calculated. The CW21-5 line produced a total of 53.002 ± 0.228 g of CBD per cubic meter, the highest CBD producer. In addition, heatmap correlation analysis showed that most morphological data were not related to cannabinoid content. Principal Component Analysis (PCA) and Self-Organizing Map (SOM) analysis showed that CW21-5 is an arbitrary line that does not cluster with other lines, and the reason for its excellent CBD yield per cubic meter is that it has a narrow plant diameter and a high CBD content at the same time.
Comparative anatomical study of leaves for twelve Indonesian woody plant species

Abstract. Damaiyani J, Fiqa AP, Rindyastuti R, Lestari DA, Rahadiantoro A, Yulistyarini T. 2022. Comparative anatomical study of leaves for twelve Indonesian woody plant species. Biodiversitas 23: 3744-3754. Foliar epidermal and stomatal features are widely used as plant microscopic traits either from taxonomic or ecological standpoints. The studies on woody plants in the Malesian region which serve as the essential component of tropical ecosystems are still limited. Here we conduct a comparative study on stomatal and epidermal features of twelve important woody plant species from Indonesia using a descriptive method based on the Light Microscope and Scanning Electron Microscope micrographs. The shape, size and stomatal type were revealed in all species studied. Moreover, quantitative features were measured including epidermal cell length and width, solidity (S), aspect ratio (AR), and stomatal index (SI). The study results showed a variation in foliar epidermal and stomatal traits across the species studied. Due to the presence of trichomes and waxes on the abaxial side, not all species can be measured for their stomatal index and epidermal cells. Syzygium polyanthum has the highest stomatal index and cells with complex interlocking shapes, which provide an effective strategy for reducing mechanical stress on epidermal cell walls, making this native species predicted to adapt well when it was planted in habitats with similar environmental conditions.
Acalculous cholecystitis presentation in a young patient

Acute acalculous cholecystitis accounts for only 5-10% of cholecystitis cases and is often associated with severe trauma, critical illness, or chronic disease. Our case describes an otherwise healthy 25-year-old female presenting with acute abdominal pain. After undergoing a magnetic resonance cholangiopancreatography and cholescintigraphy she was diagnosed with acute acalculous cholecystitis. Her symptoms resolved following laparoscopic cholecystectomy which highlights the importance of prompt diagnosis and treatment of acalculous cholecystitis even in the absence of trauma or critical illness.