jimnoneill/paper-to-field-training huggingface dataset:
Supporting the Teaching of Global Englishes Language Teaching (GELT) Through Voki

Field: Arts and Humanities (Social Sciences)

This paper evaluates Voki, a digital platform for creating speaking avatars, in the context of Global Englishes Language Teaching (GELT). It firstly outlines the benefits of using animated characters in online tools to personalize language lessons and engage students. As a web-based application, Voki offers various customization options, including different characters, backgrounds and speech voices in over 30 languages. The paper describes how Voki can support GELT pedagogy by exposing students to different English accents and dialects and enhancing their listening and speaking skills with reflections from a ‘Listening and Pronunciation’ course. It is concluded that despite certain technical difficulties and pedagogical limitations, Voki seems a valuable tool to support GELT pedagogy.
LANTERN: Learn analysis transform network for dynamic magnetic resonance imaging

Field: Computer Science (Physical Sciences)

<p style='text-indent:20px;'>This paper proposes to learn analysis transform network for dynamic magnetic resonance imaging (LANTERN). Integrating the strength of CS-MRI and deep learning, the proposed framework is highlighted in three components: (ⅰ) The spatial and temporal domains are sparsely constrained by adaptively trained convolutional filters; (ⅱ) We introduce an end-to-end framework to learn the parameters in LANTERN to solve the difficulty of parameter selection in traditional methods; (ⅲ) Compared to existing deep learning reconstruction methods, our experimental results show that our paper has encouraging capability in exploiting the spatial and temporal redundancy of dynamic MR images. We performed quantitative and qualitative analysis of cardiac reconstructions at different acceleration factors (<inline-formula><tex-math id="M1">\begin{document}$ 2 \times $\end{document}</tex-math></inline-formula>-<inline-formula><tex-math id="M2">\begin{document}$ 11 \times $\end{document}</tex-math></inline-formula>) with different undersampling patterns. In comparison with two state-of-the-art methods, experimental results show that our method achieved encouraging performances.</p>
Maize grain supply and demand for the animal protein chain in the Rio Grande do Sul State, Brazil

Field: Agricultural and Biological Sciences (Life Sciences)

ABSTRACT: The animal production system has been affected in the Rio Grande do Sul State by low maize production, mainly non-ruminants. The total demand is not well known and official data are inaccurate and underestimated. This research characterized and analyzed the maize grain demand and supply for animal feed in the last 15 years at the Rio Grande do Sul State. The state supply was obtained from governmental harvests measurement. The demand was obtained by the total animals (swine, poultry and dairy and beef cattle), while the total state demand was obtained using the relative national consumption from these segments in relation to the total. The current maize grain demand was at the order of 6 million tons for the feeding of swine, poultry and cattle, while total demand was between 9 to 12 million tons in the Rio Grande do Sul State. The state maize production supplied near half of the total demand for the animal protein chain, characterizing a significant deficit for this sector, providing instability and making this productive chain economically unfeasible in the state.
LHD 10p5U-AD01-07-NF #184012.3

Field: Physics and Astronomy (Physical Sciences)

The plasma monitor cameras are installed in 6-T, 6-O and 10-O ports for monitoring LHD plasmas. Five cameras are set in 3-O port for observing the lower divertor structure near 2.5-L port and the plasma-wall interactions on the divertor plates.
Exploring the Role of Generative Artificial Intelligence in Enhancing Information Retrieval and Knowledge Discovery in Academic Libraries

Field: Computer Science (Physical Sciences)

This article explores the role of Generative Artificial Intelligence (GAI) in enhancing information retrieval and knowledge discovery in libraries by analyzing the significant advantages GAI offers. Its aim is on expanding the understanding of the potentials of GAI and how it reshapes information retrieval, accessibility and Knowledge discovery in academic libraries in a rapidly evolving digital landscape. The research adopted a mixed-method approach; Systematic review and longitudinal approaches as its methodologies. It posited the role of GAI in enhancing information retrieval and knowledge discovery in academic libraries in aspects like collection development and management, cataloging and classification, Indexing, library data analysis and unique search engines. The paper also identified some challenges limiting the usage GAI in academic libraries like GAI’s potential for inaccuracies, staff training and development, rigid educational structures and human relations and emotive connections. By way of conclusion and recommendation, the researchers suggested that academic libraries should intensify investments in training and re-training of staff because professional technological development for staff will ensure effective management and use of AI technologies.
Structure and assembly of the mouse ASC inflammasome by combined NMR spectroscopy and cryo-electron microscopy

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Significance Invading pathogens and other danger-associated signals are recognized by the innate immune system. Subsequently, the eukaryotic protein ASC [apoptosis-associated speck-like protein containing a caspase-recruitment domain (CARD)] assembles to long filaments, which might serve to amplify the signal and activate an inflammatory response. We have determined the structure of the mouse ASC filament at atomic resolution. The pyrin domain of ASC forms the helical filament core, and the CARD, thus far elusive to experimental observation, is flexibly unfolded on the filament periphery. The integration of data from two structural methods, cryo-electron microscopy and solid-state NMR spectroscopy, opens perspectives for structural studies of inflammasomes and related molecular assemblies.
Impact of CONUT Score at Admission on Prognosis in Older Patients with Acute Ischemic Stroke, Considering Ischemia Area: From Turkey’s Second Region with the Oldest Population

Field: Medicine (Health Sciences)

Aim: The presence of malnutrition at admission in acute ischemic stroke (AIS) patients may cause poor outcomes in older patients. There are rare studies showing that Checking Nutritional Status (CONUT) score is a predictor of poor prognosis in AIS patients. We aimed to investigate the impact of CONUT score on the length of hospital stay (LOS) and intensive care need. Materials and Methods: One hundred thirty-one of 230 patients older than 65 years old with a diagnosis of AIS were included. Patients with clinical correlation with diffusion-weighted magnetic resonance imaging examination were accepted as having ischemic stroke and classified by the Bamford classification. CONUT score was assessed within 24 hours after hospital admission. Results: The mean age of patients was 78.15±6.9 years and 55.72% of patients were male, the mean LOS and the mean CONUT scores were 7.4±4.5 and 2.30, respectively. When patients were divided into two groups, as those requiring intensive care and with hospital stay >7 days and those with LOS <7 days, there was a significant difference between the two groups in terms of lymphocyte count, CONUT score, malnutrition level, and Bamford classification (p=0.007, p=0.002, p=0.004, p=0.030, respectively). In the crude regression model, CONUT score was determined to be possible risk factors for poor outcomes [odds ratio (OR): 1.38, p=0.002] and OR was 1.39 (p=0.003) in adjusted model for the Bamford classification. Conclusion: Each unit increase in the CONUT score was associated with a greater risk of poor outcome in older AIS patients. Clinicians’ evaluation of these patients with CONUT scoring may affect the prognosis.
Strategic aid allocation in the 21st century: lessons from the 1980s and 90s

Field: Economics, Econometrics and Finance (Social Sciences)

An evaluation of recipient countries? experience with foreign aid in the 1980s and 90s shows that there is plenty of evidence that policy conditionality has by and large failed, and that there is no evidence that the policy conditions attached to aid have by and large been appropriate. In that light, is the currently advocated move in aid allocation away from policy conditionality and towards selectivity and recipient ownership of its reform programme therefore appropriate? The paper argues that the evidence on aid effectiveness in the 1980s and 90s suggests otherwise.
Design, synthesis of novel azo derivatives of benzimidazole as potent antibacterial and anti tubercular agents

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

A series of some novel azo derivatives of benzimidazole were prepared by coupling diazonium derivative of benzimidazole with various appropriate aromatic compounds. Confirmation of the chemical structure of the novel synthesized compounds 6a (1–5) & 6b (1–5) was substantiated by TLC, different spectral data IR, 1H NMR, Mass spectra and elemental analysis. The synthesized compounds were evaluated for in-vitro antimicrobial and anti tubercular activities against Bacillus subtilis, Escherichia coli and Mycobacterium tuberculosis. The compounds exhibited weak, moderate, or high in-vitro antimicrobial and anti tubercular potency. Compounds 6a2, 6a3, 6b2 and 6b3 exhibited potential antimicrobial activity. Keywords: Azo derivatives, Benzimidazole, Antimicrobial and anti tubercular
A General Approach for Monolayer Adsorption of High Weight Loadings of Uniform Nanocrystals on Oxide Supports

Field: Chemistry (Physical Sciences)

Abstract Monodispersed metal and semiconductor nanocrystals have attracted great attention in fundamental and applied research due to their tunable size, morphology, and well‐defined chemical composition. Utilizing these nanocrystals in a controllable way is highly desirable especially when using them as building blocks for the preparation of nanostructured materials. Their deposition onto oxide materials provide them with wide applicability in many areas, including catalysis. However, so far deposition methods are limited and do not provide control to achieve high particle loadings. This study demonstrates a general approach for the deposition of hydrophobic ligand‐stabilized nanocrystals on hydrophilic oxide supports without ligand‐exchange. Surface functionalization of the supports with primary amine groups either using an organosilane ((3‐aminopropyl)trimethoxysilane) or bonding with aminoalcohols (3‐amino‐1,2‐propanediol) were found to significantly improve the interaction between nanocrystals and supports achieving high loadings (>10 wt. %). The bonding method with aminoalcohols guarantees the opportunity to remove the binding molecules thus allowing clean metal/oxide materials to be obtained, which is of great importance in the preparation of supported nanocrystals for heterogeneous catalysis.
Conservative management of cicatrix after circumcision: Retraction and steroid

Field: Medicine (Health Sciences)

Aim: Our study aims to study the combined manual retracting and topical steroid application method for the treatment of post-circumcision cicatrix in neonates and infants and to establish the need for a secondary intervention. Material and Methods: A total of 20 patients applying to our clinic with post-circumcision cicatrix between April 2018 and January 2019 were evaluated retrospectively. Multivariable analyses assessed the association between the age of the patients and the onset of complaints associated with cicatrix, the time to onset of symptoms, and the duration of recovery.Results: The mean age at admission was 7.8 months (4-13 months), and the mean age at circumcision was 3.4 months (2 weeks-6 months). In our study, all the patients had been fully recovered after the treatment with combination of topical 0.1% betamethasone ointment and manual retraction. The mean duration of treatment was 30.6 days (14-56 days). Conclusion: In this study, we reported our observations related to the treatment only with 0.1% Betamethasone ointment and manual retraction for the first time in the literature. We believe that before choosing secondary applications which potentially traumatize the patient, insisting on topical steroid and manual retraction will provide a satisfactory outcome.
Orthophosphate Quantification in Water Utilizing an\nEnzymatic Reaction and a Commercial Glucometer Test Strip

Field: Chemistry (Physical Sciences)

A sensor for the determination of\northophosphate (PO<sub>4</sub><sup>3–</sup>) concentration\nin water was developed that utilizes\nthe enzymatic cleavage of maltose in the presence of PO<sub>4</sub><sup>3–</sup> to generate an equivalent amount of glucose.\nThe glucose produced from this reaction was quantified using a commercial\nglucometer test strip coupled to a miniature potentiostat using amperometry.\nThis sensing approach yielded a limit of detection of 1.45 μM\n(0.1 ppm) glucose/PO<sub>4</sub><sup>3–</sup>, which is lower\nthan that of a commercial glucometer (≥600 μM glucose),\nand a dynamic range of 10 μM–3 mM. The selectivity of\nthe approach to PO<sub>4</sub><sup>3–</sup> was evaluated by\ndetermining the device’s response to known components in natural\nwater samples. Finally, we showed that the approach can be used to\ndetermine PO<sub>4</sub><sup>3–</sup> in tap and river water\nsamples.
Gait classification of stroke survivors - An analytical study

Field: Health Professions (Health Sciences)

Gait of post-stroke patients have been analyzed and classified in this paper. Data pertaining to gait of both post-stroke patients and healthy people of the same age group were obtained and analyzed. Xsens motion capture system was used for obtaining this data from 40 people belonging to both categories. Advanced modern machine learning techniques such as Logistic Regression, Multilayer Perceptron (MLP), Support Vector Machine (SVM), and Extreme Gradient Boosting (XGBoost) were employed for classifying the data obtained. Accurate spatiotemporal parameters values for gait were obtained. Amongst the different machine learning techniques, XGBoost gave the most accurate classification result of about 96%. The walking patterns of the patients who had undergone a stroke attack were analyzed. severity of abnormal gait patterns was a key factor that was taken into consideration and points were given accordingly. The data presented in this paper can be used to develop diagnostic tools for gait rehabilitation of stroke survivors, to evaluate and estimate their way of walking in order to understand their progress. It can be used to understand the different types of walking disorders post-stroke and thereafter select the right kind of treatment that needs to be implemented for proper recovery.
High prevalence of abdominal aortic aneurysm in men with peripheral vascular disease: Screening by ultrasonography

Field: Medicine (Health Sciences)

Abstract A study was carried out to see if an ultrasonic examination of the abdominal aorta was indicated in every patient who attended an outpatient clinic with peripheral vascular disease (PVD). One hundred consecutive patients were studied and compared with a control group. The incidence of abdominal aortic aneurysm (AAA) in the control group was 2 percent. In the study group, the male patients had an incidence of 20 per cent of aneurysm and ectasia, while the female patients had an incidence of 12 per cent. Of all the abnormal aortas found by ultrasound, only 31 per cent were palpable clinically. Two aneurysms that required operation were found, while the remainder are to be followed by regular ultrasound assessment. Further studies are necessary to conclude if screening of a high risk group, such as patients with PVD, is worthwhile.
Research on the Operation Mode of Energy Integrated Service Station under Multi-Station Integration

Field: Energy (Physical Sciences)

As an important way to build the ubiquitous power Internet of Things and promote the energy transition, energy integrated service station aims to organically integrate multiple types of functional sub-stations to form a high-quality, high-efficiency, and economical operation. In view of the fact that the existing literature does not have in-depth research on the energy integrated service station operation model, this article focuses on the exploration of the multi-station integration operation model based on combination scenarios and energy flow analysis. First, a variety of combined scenarios of multi-station integration are designed and the adaptation scenarios are discussed. Secondly, the energy flow of each function station is analyzed, and the energy supply cost or operating income model of each function station is established. At the same time, In order to take into account the interests of both parties in the energy transaction at the same time, the problem of contract electricity price setting is transformed into a cooperative game problem, and a negotiation game model is established to solve the contract electricity price. Finally, in the simulation, combined with three combination scenarios, the influencing factors of the operating income of functional stations are discussed. The results show that the profit or cost of the functional stations after the multi-station integration is compared with that before the integration, and the economics of the stations are indeed significantly improved. In the current context of actively promoting the energy integrated service station reform, this article has certain practical significance and reference value.
Effects of telmisartan on the expression of NADPH oxidase subunits in the myocardium of type 2 diabetic rats

Field: Pharmacology, Toxicology and Pharmaceutics (Life Sciences)

Objective To explore the effect of telmisartan on the expression of NADPH oxidase subunits p22phox and NOX4 in the myocardiam of type 2 diabetic rats.Methods Thirty-six male Wistar rats were randomly divided into two groups: normal control group(group A,n=10),diabetic model group(n=26).Type 2 diabetic model was established by high-fat and high-sugar diet followed by intraperitoneal injection of a low dose of streptozotocin(STZ).After the model was reproduced successfully,20 diabetic rats were randomly divided into diabetic subgroup(group B,n=10) and telmisartan-treated subgroup(group C,n=10).Rats in group C were orally administered telmisartan(5mg/kg/d),and rats in group A and B were given equivalent volume of normal saline.All rats were sacrificed 12 weeks after treatment.The mRNA expressions of myocardial p22phox and NOX4 were detected by real-time fluorescence quantitative PCR,and the protein expressions of myocardial connective tissue growth factor(CTGF) and copper-zinc-superoxide dismutase(Cu-Zn-SOD) were detected by immunohistochemical staining.Results Compared with group A,the ratio of heart/body weight,the mRNA expression of myocardial p22phox and NOX4,and the protein expression of myocardial CTGF increased significantly in group B,and the protein expression of myocardial Cu-Zn-SOD decreased significantly(P < 0.05).The ratio of heart/body weight,the mRNA expression of myocardial p22phox and NOX4,and the protein expression of myocardial CTGF decreased significantly in group C than in group B(P < 0.05),and the protein expression of myocardial Cu-Zn-SOD increased significantly in group C when compared with that of group B(P < 0.05),but no significant difference of the above indexes was found between group A and C(P > 0.05).Conclusions Telmisartan can down-regulate the over-expression of myocardial NOX4 and p22phox mRNA in type 2 diabetic rats,lessen the myocardial damage induced by oxidative stress,thus plays a protective role in the myocardium of diabetic rats.
Medial Thalamus and Memory

Field: Neuroscience (Life Sciences)

To the Editor.

—We read with great interest the article by Kritchevsky et al1describing two patients who did not develop any memory defect after infarction in the dorsomedial (DM) nucleus of the thalamus. To localize the lesion, and to estimate the volume of the nucleus involved, they used magnetic resonance imaging (MRI) with a stereotaxic method, a modification of that described by Archer et al2and Graff-Radford et al.3One patient had a right-sided lesion involving about 15% of the DM nucleus, and the other had bilateral lesions that affected about 15% of the left side of the DM nucleus and less than 5% of the right side of the DM nucleus. In the stereotaxic method they used, errors on the order of millimeters can inevitably arise. First, although they used the center of the lesion as a reference point, it is difficult to determine the
Construction and implementation of music recommendation model utilising deep learning artificial neural network and mobile edge computing

Field: Computer Science (Physical Sciences)

The purpose is to better develop China's music industry, facilitate users' online music works queries, and encourage the development of excellent music works. The music recommendation system is analysed, and a new music recommendation system is constructed based on the combination of the hybrid Deep Learning (DL) Artificial Neural Network (ANN) and Mobile Edge Computing (MEC) technologies. First, the principle of MEC is analysed. Then, the combination of Deep Learning Artificial Neural Network (DLANN) technology and MEC technology is discussed. Afterward, DLANN and MEC are fused to implement the music recommendation model, and the proposed model is evaluated through experiment. The results show that the combination of DLANN and MEC technologies can increase the DL efficiency of the computer, the storage capacity, and the overall efficiency of the servers. This proves the feasibility of the proposed music recommendation system. The user satisfaction of the proposed music recommendation system exceeds all mainstream music recommendation algorithms on the market. Thus, the research can provide a reference for the improvement of the music recommendation algorithm in the future and is of great significance. The proposed music recommendation system outperforms most of the current music recommendation systems on the market.
Identification of antioxidant polyphenolics from Jasione montana based on a preliminary LC-MS profiling

Field: Biochemistry, Genetics and Molecular Biology (Life Sciences)

Jasione montana (Campanulaceae) known as sheep's bit scabious is biennial, rarely annual plant, occurring commonly throughout Europe [1]. Ethnopharmacological report emphasizes its role in sleep disorders in children, although its biological activity have not been yet assessed [2]. According to the literature, little is also known about the presence of undefinable phytochemicals in J. montana [3]. For the first time antioxidant activities of fractions obtained from sheep's bit scabious using different in vitro antioxidant models were also evaluated. The ethyl acetate fraction showed highest antioxidant activity, both for DPPH (IC50= 19.03 µg/mL) and for O2-· (IC50= 5.77 µg/mL) assays. An analytical approach based on LC-ESI-MS was applied to rapidly obtain a metabolite profile of all fractions obtained from the aerial parts of J. montana. Finally, in all investigated fractions ten polyphenolic compounds (1-10) were identified. Among them, eight rare derivatives of luteolin have been reported. Till now, two known flavonoids namely luteolin (1) and luteolin 7-glucoside (2) have been isolated and their structures have been unambiguously elucidated by extensive chromatographic and spectroscopic methods, including UV and NMR experiments. Isolation and identification of further flavonoid compounds from the investigated fractions is being carried out.