Miracle-dz/UniFAR-FTUs huggingface dataset:
Perceptions of Indonesian multilingual scholars about preparing and publishing research manuscripts in international journals

There has been a great deal of interest in issues multilingual scholars (henceforth: MLS) have in trying to gain publication in international mainstream English language journals (IEJs). However, little research has been published on the experience of MLS using their perspective, particularly how they perceive their competence (knowledge and skills) to publish their research internationally. The purpose of this study was to fill this gap by investigating what they perceived as the factors that inhibited them from publishing in IEJs. This study mainly used a quantitative method, but the results were supplemented with interviews and focus group discussion with some of the participants in the survey. Principal Component Analysis (PCA) tool of the SPSS statistical programme was used to conduct two levels of analysis: the PCA and Confirmation Factorial Analysis (CFA). The key finding was that the most critical factor for the participants was not a lack of funds as widely reported in many previous studies, but lack of competence to face the challenges of preparing and publishing research article (RA) in IEJs, which had dampened self-confidence. The low self-confidence and two solutions, * Corresponding author, email: zadnan@une.edu. au Citation in APA style: Adnan, Z. , Arsyad, S. , Purwo, B. K. , & Sukamto, K. E. (2021). Perceptions of Indonesian multilingual scholars about preparing and publishing research manuscripts in international journals. Studies in English Language and Education, 8(1), 65-83. Received September 30, 2020; Revised December 16, 2020; Accepted December 22, 2020; Published Online January 3, 2021 https://doi.org/10.24815/siele.v8i1. 18969 Z. Adnan, S. Arsyad, B. K. Purwo & K.E. Sukamto, Perceptions of Indonesian multilingual scholars about preparing and publishing research manuscripts in international journals | 66 suggested by the participants, implicitly confirmed the key finding. The participants were aware of the various benefits of research article publication in IEJs, but they were not strong enough to overcome the critical factor. The implication is that policymakers should consider providing regular training for staff with adequate practice and feedback and introducing the subject to undergraduate or, at least, MA students before they embark on starting their research projects.
Development of grade-II chronic renal failure model in black Bengal goat for pharmacokinetic studies

An animal model of chronic renal failure condition in caprine was created for pharmacokinetic studies. 15 goats were divided into 5 equal groups. Cisplatin (1mg ml) administered at 30 mg m intravenously bi-weekly for 28 days gave standard results for grade-II CRF. Blood Urea Nitrogen (BUN), Plasma Creatinine (CRT) and Glomerular Filtration Rate (GFR) were monitored for 91 days on weekly basis. BUN and CRT started to increase significantly from 7 days post dosing and maintained a significantly higher value till the end of the observation period. GFR decreased significantly on day 28 and maintained significantly lower value starting from day 28 to 91. The signs like emaciation, loss of body weight, and oliguria were observed. GFR was almost <60% up to 91 days. The signs like emaciation, loss of body weight, and oliguria were observed. The values of all 3 biomarkers and trucut biopsy confirmed Grade-II chronic renal failure in goats.
Superpotential of Three Dimensional N = 1 Heterotic Supergravity

We dimensionally reduce the ten dimensional heterotic supergravity action on spacetimes of the form M(2,1) × Y , where M(2,1) is three dimensional maximally symmetric Anti de Sitter or Minkowski space, and Y is a compact seven dimensional manifold with G2 structure. In doing so, we derive the real superpotential functional of the corresponding three dimensional N = 1 theory. We confirm that extrema of this functional correspond to supersymmetric heterotic compactifications on manifolds of G2 structure in the large volume, weak coupling limit to first order in α′. We make some comments on the role of the superpotential functional with respect to the coupled moduli problem of instanton bundles over G2 manifolds. ar X iv :1 90 4. 01 02 7v 2 [ he pth ] 2 6 Fe b 20 20
Isolation and identification of phosphate solubilizing bacteria and evaluate its effect on of Mung bean (Vigna radita [L.] R.Wilczek) growth

Sixteen soil samples were collected from wheat, barley and yellow corn rhizosphere in Abu-Ghraib, Aqraqof, Latifieh,Tarmiah, Jadriya and of Agriculture in Baghdad university/ Baghdad city. The results found nine phosphate solubilizing bacteria (PSB) isolates (Y1, Y2, Y3, Y4, Y5, Y6, Y7, Y8, Y9), formed clear zones on National Botanical Research Institute's (NBRIP) agar. The solubility index (SI) of PSB isolates ranged from 2.00 to 3.66. Y4 have the highest SI (3.66) followed by Y3 and Y6 (3.33). Phosphate solubilization abilities varying from (20.10-39.00 Î¼g.ml-1), Y4 was the highest (39.00 Î¼g.ml-1) followed by Y3 (37.00Î¼g.ml-1). The results of hydrolytic enzymes production showed that almost all nine isolates are able to produce protease and pectinase, while Y1 and Y2 showed negative results in cellulase production. Maximum ability for hydrogen cyanide (HCN) and indole acetic acid (IAA) production were showed byY3 and Y4 isolates. The isolate Y4 was found to be the most efficient isolate, so it was selected identified as Bacillus cereus using biochemical tests confirmed by VITEC 2 compact system. The results of High performance liquid chromatography (HPLC) revealed that Bacillus cereus produce oxalic acid (2.996), citric acid (9.117) and malic acid (3.734). Bacillus cereus (Y4) enhanced the growth of mung bean plants. A significant increase in branches number (12.33), plant length (83.0cm), fresh weight (27.25 g) and dry weight (1.427g) were obtained compared with control treatments. The main objective of this study is to isolate PSB and evaluate their roles in plant growth promotion. The results showed the high phosphate solubilization efficiency of PSB isolates and the identified isolates was found to be good enough for plant growth promoting.
Validation Of Tamil Version Of The Anemia Knowledge Questionnaire (AKQ)

In India anemia is a common problem among Antenatal Women. In order to decrease maternal mortality, it is important to create knowledge among antenatal women. Varied instruments have been used to assess knowledge on anemia. However, there is a shortage for validated instruments in India for assessing anemia knowledge. The aim of present study is to develop a reliable and valid questionnaire to assess the knowledge of anemia to be used in antenatal women, reproductive women and adolescent girls. Before pretest researchers measured face validity and construct validity. The study was conducted in antenatal outpatient department of selected primary health centers at Thriuvallur district, Tamil Nadu, India.Subjects: Six nursing and one psychology expert, ten Village Health Nurse (VHN) and 100 antenatal mothers participated in the mission. During factorial analysis sampling adequacy was measured by using Kaiser- Meyer-Olkin (KMO) test (MSA) = 0.87 and Bartlett’s test of sphericity was X2 = 458.338 (p < 0.001). Varimax with Kaiser normalization rotation was performed and three factors were defined. The “general awareness” consists of four items (α = 0.79), anemia investigation and treatment component consists of six items (α = 0.81) and under diet and complication of anemia component, there is a five item factor (α = 0.89). In individual questions factor analysis, Cronbach’s alphas ranged from . 84 and . 86. 15.2% indicating total variance. There is no statistical significance between test and retest method. The questionnaire showed good validity and reliability (internal consistency and reproducibility), hence we can use this questionnaire among adults.
Comparative Study of Machine Learning Techniques in the Medical Field

— In the ever-advancing field of technology, Artificial Intelligence (AI) has become an important part of our day to day lives. It has demonstrated to improve the efficiencies of working environments thus reducing human effort. In decision making-problems, AI plays a major role in providing useful outcomes but adopting one out of several methods for achieving better results is a rigorous task. The objective of this paper is to understand the various techniques that have contributed in the rising growth of studies using AI and its subfields like Machine Learning and Image Processing especially in the medical field. Machine Learning algorithms have shown impressive accuracies and sensitivity in the recognizable proof of imaging abnormalities. A study on different proposed methodologies involving various algorithms for the stages involved along with their preferences and downsides which can help in the determination and appropriation of the methods later on have been discussed.
Capacity to handle complexity – The importance of contextual awareness in healthcare communication in English as a lingua franca

Hungarian healthcare providers – as most of their colleagues around the world – engage in interaction with foreign patients, whom they do not share a mother tongue with, in English as a lingua franca (ELF) most of the time. These communicative situations pose great challenges to healthcare providers, as they have to be capable of adjusting their language use to their patients’ cognitive, linguistic and communicative-pragmatic schemata which often differ from their own. In order to develop such a capacity, ESP classes must focus on improving health science students’ awareness in exploring various ELF contexts which form ground for making informed decisions on the use of terminology. The present research aims at showing the complex dynamic nature of these ELF contexts based on empirical data collected via interviews with Hungarian healthcare providers who have extended experience in working with patients in international environments. The results can inform the everyday practice of ESP teachers in the field of the health sciences.
A unique and reliable fecal DNA extraction method for 16S rRNA gene and shotgun metagenomic sequencing in the analysis of the human gut microbiome

Background: The gut microbiome is widely analyzed using high-throughput sequencing, such as 16S rRNA gene amplicon sequencing and shotgun metagenomic sequencing (SMS). DNA extraction is known to have a large impact on the metagenomic analyses. The aim of this study was to select a unique and best performing DNA extraction protocol for both metagenomic sequencing methods. In that context, four commonly used DNA extraction methods were compared for the analysis of the gut microbiota. Commercial versions were evaluated against modified protocols using a stool preprocessing device (SPD, bioMérieux) in order to facilitate DNA extraction. Stool samples from nine healthy volunteers and nine patients with a Clostridium difficile infection were extracted with all protocols and sequenced with both metagenomic methods. Protocols were ranked using wet- and dry-lab criteria, including quality controls of the extracted genomic DNA, alpha-diversity, accuracy using a mock community of known composition and repeatability across technical replicates.Results: Independently of the sequencing methods used, SPD significantly improved efficiency of the four tested protocols compared with their commercial version, in terms of extracted DNA quality, accuracy of the predicted composition of the microbiota (notably for Gram-positive bacteria), sample alpha-diversity, and experimental repeatability. The best overall performance was obtained for the S-DQ protocol, SPD combined to the DNeasy PowerLyser PowerSoil protocol from QIAGEN.Conclusion: Based on this evaluation, we recommend to use the S-DQ protocol, to obtain standardized and high quality extracted DNA in the human gut microbiome studies.
Vertical fluxes conditioned on vorticity and strain reveal submesoscale ventilation

It has been hypothesized that submesoscale flows play an important role in the vertical transport of climatically important tracers, due to their strong associated vertical velocities. However, the multi-scale, non-linear, and Lagrangian nature of transport makes it challenging to attribute proportions of the tracer fluxes to certain processes, scales, regions, or features. Here we show that criteria based on the surface vorticity and strain joint probability distribution function (JPDF) effectively decomposes the surface velocity field into distinguishable flow regions, and different flow features, like fronts or eddies, are contained in different flow regions. The JPDF has a distinct shape and approximately parses the flow into different scales, as stronger velocity gradients are usually associated with smaller scales. Conditioning the vertical tracer transport on the vorticity-strain JPDF can therefore help to attribute the transport to different types of flows and scales. Applied to a set of idealized Antarctic Circumpolar Current simulations that vary only in horizontal resolution, this diagnostic approach demonstrates that small-scale strain dominated regions that are generally associated with submesoscale fronts, despite their minuscule spatial footprint, play an outsized role in exchanging tracers across the mixed layer base and are an important contributor to the large-scale tracer budgets. Resolving these flows not only adds extra flux at the small scales, but also enhances the flux due to the larger-scale flows.
New insights into diabetes mellitus and its complications: a narrative review

Diabetes is a metabolic disorder accompanied by complications of multiple organs and systems. Diabetic nephropathy (DN) is one of the most prevalent lethal complications of diabetes. Although numerous biomarkers have be clarified for early diagnosis of DN, renal biopsy is still the gold standard. As a noninvasive imaging diagnostic method, blood oxygen level-dependent (BOLD) MRI can help understand the kidney oxygenation status and fibrosis process and monitor the efficacy of new drugs for DN via monitoring renal blood oxygen levels. Recent studies have shown that noncoding RNAs including microRNAs (miRNAs), long noncoding RNAs (lncRNAs) and circular RNAs (circRNAs) were all involved in the development of DN, which could be exploited as therapeutic strategy to control DN. Dyslipidemia is also a common complication of diabetes. Apolipoprotein M (apoM), as a novel apolipoprotein, may be related to the development and progression of diabetes, which need to further investigation. Obstructive sleep apnea (OSA) is another common complication of diabetes and is an independent risk factor for cardiovascular disease (CVD). At present, there is no simple, effective and rapid diagnostic method to early identification of OSA in patients with diabetes. A nomogram consisted of waist-to-hip ratio, smoking status, body mass index, serum uric acid, HOMA-IR and history of fatty liver might be an alternative method to early assess the risk of OSA.
Short-term Follow-up of Early Reconstructive Surgery Management in Neglected Supracondylar Humeral Fractures

BACKGROUND: The supracondylar humeral fracture is a fracture located in the proximal position of the trochlea and humeral capitulum. This fracture is the most common elbow fracture in children. Epidemiological research states that these fractures constitute 58% of all elbow fractures in children. It is also mentioned that 10–20% patients undergo belated admission to get therapy. Based on the literature, the fracture is categorized as neglected if the fracture treatment is 14 days post-trauma. Unfortunately, few reports can provide management guidelines. Some experts mention the “wait and see” attitude toward this fracture until a perfect remodeling happens to correct the deformity; however, a number of studies have shown good results after early reconstruction. AIM: We aimed to evaluate the short-term follow-up of supracondylar humeral fractures that came after 14 days of injury and then open reduction reconstructions were done, followed by the installation of K-wire and screws with the figure of eight patterns based on the quick disabilities of the arm, shoulder, and hand (Q-DASH) 9-score, Flynn’s Criteria, and Mayo Elbow Performance Score (MEPS). METHODS: The samples were five patients who underwent corrective open reduction and injury fixed with Kirschner (K)-wire and screws with the figure of eight patterns using the posterior approach at the Orthopedic Hospital from December 2019 to February 2020. Results were assessed with the quick disabilities of the arm, shoulder, and hand-9 score (Q-DASH-9 score), Flynn’s Criteria, and Mayo Elbow Performance Score (MEPS). RESULTS: All patients after reconstruction correction showed an increase in range of motion in the fractured elbow. No complications were found from the surgical treatment. CONCLUSIONS: Early reconstruction correction of patients with supracondylar humeral fractures gave satisfactory results based on the Q-DASH-9 Score, Flynn’s Criteria, and MEPS.
Heterogeneous Nucleation with Finite Activation Energy and Perfect Wetting: Capillary Theory Versus Experiments with Nanometer Particles, and Extrapolations on the Smallest Detectable Nucleus

Analytical expressions are provided for charged and uncharged particles in the perfect-wetting limit of Fletcher's classical heterogeneous nucleation theory with finite activation energy G*. A dimensionless logarithm of the critical supersaturation can be represented as a single universal curve versus a dimensionless nucleus radius for neutral particles, while a uniparametric family of curves is required for charged particles. Comparison with experimental critical supersaturations for nanoparticles and molecular ions shows qualitative agreement, with substantial quantitative disagreement. At increasing sizes the predicted critical diameter augmented by a fixed length ∼1 nm approaches the Kelvin limit. Predicted activation probability curves versus size (supersaturation) are steep, whence stringent experimental definitions of the thermodynamic state and the seed particle are required for meaningful comparison with theory. Activation curves for mobility-selected WOx particles are broader than predicted, eve.
Improving the Timing Behaviour of Mixed-Criticality Systems Using Chebyshev's Theorem

In Mixed-Criticality (MC) systems, there are often multiple Worst-Case Execution Times (WCETs) for the same task, corresponding to system operation mode. Determining the appropriate WCETs for lower criticality modes is non-trivial; while on the one hand, a low WCET for a mode can improve the processor utilization in that mode, on the other hand, using a larger WCET ensures that the mode switches are minimized, thereby maximizing the quality-of-service for all tasks, albeit at the cost of processor utilization. Although there are many studies to determine WCET in the highest criticality mode, no analytical solutions are proposed to determine WCETs in other lower criticality modes. In this regard, we propose a scheme to determine WCETs by Chebyshev theorem to make a trade-off between the number of scheduled tasks at design-time and the number of dropped low-criticality tasks at runtime as a result of frequent mode switches. Our experimental results show that our scheme improves the utilization of state-of-the-art MC systems by up to 85.29%, while maintaining 9.11% mode switching probability in the worst-case scenario.
Production of Spray-dried “Terung Asam” (Solanum lasiocarpum Dunal) Powder

Easily perishable and highly seasonal “Terung Asam” (Solanum lasiocarpum Dunal) fruit, a geographical indication plant of Sarawak, was converted into powder for shelf life extension. Spray drying was employed with a range of inlet temperature (140 - 180 °C) and the slurry was cooperated with food graded maltodextrin (5 - 25 % w/w) as food processing aid. The spray-dried “Terung Asam” powders were analysed for process yield, moisture content (Mc), water activity (Aw), hygroscopicity (Hg), water solubility index (WSI), bulk density and colour. The reconstituted powders were assessed by determining total soluble solid (TSS), pH, viscosity and colour. The results indicated that the increase in inlet temperature had resulted in reduction in Mc, Aw, and Hg. In addition, higher concentration of maltodextrin led to reduction in Mc and Hg. At the spray drying inlet temperature of 160 °C and feed added with 25 % w/w maltodextrin, “Terung Asam” powder with the following optimal physicochemical properties was produced: Mc, 2.95±0.42 %; Aw, 0.11±0.02; Hg, 17.76±0.28 %; WSI, 98.89±1.37 %; and wettability, 621.60±119.03 s. The optimized reconstituted powder had lower L*, a* and b* values than the fresh juice, indicating it is lighter in colour, less reddish and less yellowish. Overall, the production of “Terung Asam” using spray drying is feasible with the addition of food processing aid.
Title Cats match voice and face: cross-modal representation of humans in cats (Felis catus)

Right This is a post-peer-review, pre-copyedit version of an article published in 'Animal cognition'. The final authenticated version is available online at: https://doi.org/10.1007/s10071-01901265-2. ; The full-text file will be made open to the public on 10 May 2020 in accordance with publisher's 'Terms and Conditions for Self-Archiving; This is not the published version. Please cite only the published version. この論文は出 版社版でありません。 引用の際には出版社版をご確認ご 利用ください。 Type Journal Article
Improving Information Extraction from Visually Rich Documents using Visual Span Representations

Along with textual content, visual features play an essential role in the semantics of visually rich documents. Information extraction (IE) tasks perform poorly on these documents if these visual cues are not taken into account. In this paper, we present Artemis - a visually aware, machine-learning-based IE method for heterogeneous visually rich documents. Artemis represents a visual span in a document by jointly encoding its visual and textual context for IE tasks. Our main contribution is two-fold. First, we develop a deep-learning model that identifies the local context boundary of a visual span with minimal human-labeling. Second, we describe a deep neural network that encodes the multimodal context of a visual span into a fixed-length vector by taking its textual and layout-specific features into account. It identifies the visual span(s) containing a named entity by leveraging this learned representation followed by an inference task. We evaluate Artemis on four heterogeneous datasets from different domains over a suite of information extraction tasks. Results show that it outperforms state-of-the-art text-based methods by up to 17 points in F1-score.
A pressure-driven atmospheric boundary layer model satisfying Rossby and Reynolds number similarity

Abstract. Idealized models of the atmospheric boundary layer (ABL) can be used to leverage understanding of the interaction between the ABL and wind farms towards the improvement of wind farm flow modeling. We propose a pressure-driven one-dimensional ABL model without wind veer, which can be used as an inflow model for three-dimensional wind farm simulations to separately demonstrate the impact of wind veer and ABL depth. The model is derived from the horizontal momentum equations and follows both Rossby and Reynolds number similarity; use of such similarity reduces computation time and allows rational comparison between different conditions. The proposed ABL model compares well with solutions of the mean momentum equations that include wind veer if the forcing variable is employed as a free parameter.