Miracle-dz/UniFAR-FTUs huggingface dataset:
Study on Evaluation of Anaesthetic Pain Management in Day Care Surgery

Background: Daycare surgeries are those surgical procedures in which the patients are admitted and discharged on the same day. As daycare surgeries surged, there is a need to have an anaesthetic agent which can be efficient and also causes fewer side effects. This study effectively analyses the efficacy and safety profile of the two most popular anaesthetic agents used in daycare surgeries. Methods: This is a retrospective study that was conducted between January 2022 and March 2022. The included patients were between 25 years and 65 years old. The outcomes were based on several factors like the efficacy of the anaesthesia (based on 4-point scale, recovery time and appearance of any side effects. Results: The efficacy of the anaesthetic action was assessed by the 4-point scale of anaesthetic effect, which showed a better outcome with sevoflurane. The Recovery Time in Group 1 was 19.92±3.24 minutes while in Group 2 it was 25.04±3.03 minutes. The findings reveal that the numbers of patients with complications are more in Group 1 as compared to Group 2 patients. Conclusion: Daycare surgery has increased and so, there is need to find an anesthetic agent which can efficiently be used. Anaesthetic efficiency is quite higher in sevoflurane as compared to desflurane. In the case of each complication, sevoflurane proved to have lesser complications as compared to desflurane. Sevoflurane is a better alternative to desflurane in daycare surgery as the anaesthetic agent of choice.
Radiosensitization by the Selective Pan-FGFR Inhibitor LY2874455

Ionizing radiation activates cytoprotective pathways in cancer cells. Fibroblast growth factor receptor (FGFR) is a key player in these pathways. Thus, FGFR signaling is a potential target to induce radiosensitization. LY2874455 is an orally administrable selective pan-FGFR inhibitor. However, the radiosensitizing effects of LY2874455 remain unclear. In this study, we addressed this issue by using radioresistant human cancer cell lines H1703 (FGFR1 mutant), A549 (FGFR1–4 wild-type), and H1299 (FGFR1–4 wild-type). At an X-ray dose corresponding to 50%-clonogenic survival as the endpoint, 100 nM LY2874455 increased the sensitivity of H1703, A549, and H1299 cells by 31%, 62%, and 53%, respectively. The combination of X-rays and LY2874455 led to a marked induction of mitotic catastrophe, a hallmark of radiation-induced cell death. Furthermore, combination treatment suppressed the growth of A549 xenografts to a significantly greater extent than either X-rays or the drug alone without noticeable toxicity. This is the first report to show the radiosensitizing effect of a selective pan-FGFR inhibitor. These data suggest the potential efficacy of LY2874455 as a radiosensitizer, warranting clinical validation.
Spectral response feature bands extracted from near standard soil samples for estimating soil Pb in a mining area

Abstract Heavy metal contamination has been a critical environmental issue in mining areas, while accurate environmental remediation still faces a great challenge because of the complex feature of historical left-over soil pollution and its unclear spatial distribution patterns. Hyperspectral-based remote sensing techniques became a hot issue in interdisciplinary research on remote sensing and soil contamination, for it enables economical and efficient contamination detection. However, the unclear spectral response feature of soil heavy metal challenges the widespread of its application. In this study, near standard soil samples (NSS) were employed to extract spectral response feature bands of soil Pb. First, NSS was produced by artificially adding heavy metal ion solution in the background soil. Next, based on the proximal hyperspectral data of NSS, the spectral response feature bands were precisely identified by the Monte Carlo Uninformative Variables Elimination (MC-UVE) method as it achieved the highest predicting accuracy of the Partial Least Squares Regression (PLSR) model. Finally, to verify the reliability of the above extracted spectral response feature bands, 46 naturally contaminated soil samples (NCS) were collected synchronously with field and laboratory spectra in a mining area of Hengyang city, China. Enhanced by the corresponding feature bands of NSS, the NCS predicted models for soil Pb achieved the highest accuracy both for laboratory spectra ( and RPD were improved from 0.45 and 1.36 to 0.71 and 1.87, respectively) and Direct standardization (DS)-converted field spectra ( and RPD were improved from 0.38 and 1.28 to 0.62 and 1.64, respectively). In conclusion, NSS could provide an effective way to clarify the spectral response feature bands from hyperspectral data. And when combined with MC-UVE, it could serve as a promising approach to inverse the concentration of regional soil heavy metal Pb. HIGHLIGHTS Near standard soil samples were used to extract Pb spectral response feature band. Spectral response feature bands of NSS were effective for the modeling of NCS. Spectral response feature bands of soil Pb are 570-760nm, 1710-2100 nm et al. MC-UVE was a relatively optimal method to extract spectral response feature bands.
The Underground Challenge- Raw Materials, Energy, the World-Economy, and Anticapitalist Struggle Reflections on Globalization and the Race for Resources by Stephen Bunker and Paul Ciccantell

sharp analysis of the raw materials sector within a wider, long-term analysis of the capitalist world-system as a whole and the conflicts, hierarchies, and inequalities that are inherent to its functioning. From the oil workers of Iraq, to the gas fields of Bolivia, to the unregulated Chinese coal miners dying in explosions, to the Native Americans whose reproductive health is threatened by uranium extraction in Shoshone, to the iron mines of the Amazon, increasingly, the raw materials sector is offering important sites of conflict, and in all likelihood, such trends will continue to intensify. In these conflicts the artificialness and futility of attempting to separate analyses of local, regional, national, and global dynamics from one another becomes glaringly obvious. Control of raw materials is a crucial precondition to capitalist production and reproduction. Arguably, it is just as crucial to any noncapitalist production and reproduction of livelihoods, and as such it should come as no surprise that communities and organizations struggling over such is
Three-dimensional simulation and auto-stereoscopic 3D display of the battlefield environment based on the particle system algorithm

The army's combat training is very important now, and the simulation of the real battlefield environment is of great significance. Two-dimensional information has been unable to meet the demand at present. With the development of virtual reality technology, three-dimensional (3D) simulation of the battlefield environment is possible. In the simulation of 3D battlefield environment, in addition to the terrain, combat personnel and the combat tool ,the simulation of explosions, fire, smoke and other effects is also very important, since these effects can enhance senses of realism and immersion of the 3D scene. However, these special effects are irregular objects, which make it difficult to simulate with the general geometry. Therefore, the simulation of irregular objects is always a hot and difficult research topic in computer graphics. Here, the particle system algorithm is used for simulating irregular objects. We design the simulation of the explosion, fire, smoke based on the particle system and applied it to the battlefield 3D scene. Besides, the battlefield 3D scene simulation with the glasses-free 3D display is carried out with an algorithm based on GPU 4K super-multiview 3D video real-time transformation method. At the same time, with the human-computer interaction function, we ultimately realized glasses-free 3D display of the simulated more realistic and immersed 3D battlefield environment.
ALTERNATIVE COMPLEMENTARY SERVICES OF SAPONIN TOWARDS REDUCTION OF FASTING BLOOD SUGAR LEVELS AND 2 HOURS POST PRANDIAL IN TYPE II DIABETES MELLITUS PATIENTS

Background - Diabetes mellitus (DM) is a metabolic disorder disease characterized by hyperglycemia. DM disease control aims to reduce mortality and morbidity, prevent complications and improve the quality of life of DM patients. DM treatment is carried out in a lifetime, requires large costs, causes mild to dangerous side effects, and requires a high level of medication adherence. Therefore, it is necessary to conduct an intervention that is cheap, easy to obtain and minimal risk. Objective - To prove that the administration of saponins has an effect on reducing fasting blood sugar levels and 2 hours post prandial in patients with type 2 DM. Methods - From 37,195 journals accessed full text, 18 journals were obtained from the screening results that met the inclusion criteria for a systematic literature review with the design used in this study used a randomized control trial design, quasi-experimental, and pre-clinical trial published in the 2015-2020 range. The subject of this study is related to saponins, fasting blood glucose, 2 hours pp in patients with type 2 diabetes. Results - Giving saponins to aloe vera plants with doses in the range of 300-500 mg/day is more effective in reducing fasting blood sugar levels with p value= 0.000 and effect size 1.42 (very strong) compared to other plants. Meanwhile, the saponin content in cherry plants with a dose of 15 grams was more effective in reducing fasting blood sugar levels 2 hours post prandial in patients with type 2 diabetes mellitus compared to other plants with p value= 0.000 and effect size 2.85 (very strong). Conclusion - Based on the results of the analysis of the research subjects, that the saponin intervention was very effective in reducing fasting blood sugar levels and 2 hours of PP.
SensorFormer: Efficient Many-to-Many Sensor Calibration With Learnable Input Subsampling

Accurate calibration of low-cost environmental sensors is a prerequisite for their successful use in many monitoring applications. State-of-the-art calibration methods vary from simple linear regression to sophisticated deep models based on LSTMs and GRUs. The latter take past measurements to improve calibration accuracy. In this article, we argue that both recent past and close future measurements help to achieve accurate calibration, whereas accuracy improvements beyond the past come with a delay introduced by the occurrence of the future. We propose a generalized many-to-many calibration scheme called SensorFormer based on the successful Transformer model which takes both past and future raw measurements into account. We show that the proposed approach: 1) outperforms other methods by improving calibration accuracy by 16.5%–20.4% on public data sets and own field data and 2) can efficiently run on low-power microcontrollers with very limited computational and storage capabilities. The latter is achieved by a novel optimization technique based on learnable input subsampling taking advantage of the properties of typical sensor data. We manage to reduce the model size by 20%–33% and minimize the overall floating point operations per second (FLOPs) by 65% while maintaining superior accuracy than state-of-the-art methods.
A self-assessment of the propensity to obtain future employment: a case of final-year engineering students at the University of Botswana

ABSTRACT The article provides a self-assessment by final-year engineering students at the University of Botswana regarding the propensity to get employment. Students rated which employability attributes are important, the level of attainment and the sources that have facilitated the development of the attributes. Results indicated that students identified the most important attributes as management of time; possessing a high level of technical skills, meeting deadlines and creating viable solutions for solving a problem. They also indicated that they have weaknesses in managing time, meeting deadlines and creating viable solutions (attributes critical to the engineering profession). Students reported that their strengths were in having a positive attitude, orderly physical presentation, adaptation to new environments and willingness to learn new ideas. Students further noted that they developed the attributes from the university academic system followed by their own private activities. The study concludes that students lacked some of the critical attributes of engineering. They therefore, need to be explicitly and holistically sensitised as to how the attributes relate to their profession, employment and career development. As part of the review of the engineering programmes, sensitisation could be included in the induction process at enrolment.
Tuning Convolutional Neural Networks Hyperparameters for Offline Handwriting Recognition

: Deep Learning Artificial Neural Networks has pushed forward researches in the field of image recognition, furthermore in handwriting recognition. In writing or writer identification, segmentation, or features extraction applications, many ANNs models are applied in the process. This paper presents a comparative study of one of the most widely used ANNs for offline handwriting recognition, known as Deep Convolutional Neural Networks. We describe the challenging benchmark Dataset entitled EMNIST introduced in 2017 as an extended version of the well-known MNIST to fill the gap of handwritten letters characters. The accuracies obtained in this work for the letters dataset compares favourably with many other approaches in the literature. The effect of the choice of hyperparameters related to our network architecture and capabilities are explored and detailed, like the number of layers, neurons, optimizers, learning rates and other parameters.
Downregulation of ammonium uptake improves the growth and tolerance of Kluyveromyces marxianus at high temperature

The growth and tolerance of Kluyveromyces marxianus at high temperatures decreased significantly in the synthetic medium (SM), which is commonly used in industrial fermentations. After 100 days of adaptive laboratory evolution, a strain named KM234 exhibited excellent tolerance at a high temperature, without loss of its growth ability at a moderate temperature. Transcriptomic analysis revealed that the KM234 strain decreased the expression of the ammonium (NH4+) transporter gene MEP3 and increased the synthesis of the amino acid carbon backbone, which may contribute greatly to the high‐temperature growth phenotype. High NH4+ content in SM significantly increased the reactive oxygen species (ROS) production at high temperatures and thus caused toxicity to yeast cells. Replacing NH4+ with organic nitrogen sources or increasing the concentration of potassium ions (K+) in the medium restored the growth of the wild‐type K. marxianus at a high temperature in SM. We also showed that the NH4+ toxicity mitigated by K+ might closely depend on the KIN1 gene. Our results provide a practical solution to industrial fermentation under high‐temperature conditions.
Paraphysoderma sedebokerense GlnS III Is Essential for the Infection of Its Host Haematococcus lacustris

Glutamine synthetase (GlnS) is a key enzyme in nitrogen metabolism. We investigated the effect of the GlnS inhibitor glufosinate on the infection of H. lacustris by the blastocladialean fungus P. sedebokerense, assuming that interfering with the host nitrogen metabolism will affect the success of the parasite. Complete inhibition of infection, which could be bypassed by the GlnS product glutamine, was observed at millimolar concentrations of glufosinate. However, this effect of glufosinate was attributed to its direct interaction with the blastoclad and not the host, which results in development and growth inhibition of the blastoclad. In our P. sedebokerense draft genome, we found that the sequence of GlnS is related to another fungal GlnS, type III, found in many poor known phyla of fungi, including Blastocladiomycota and Chytridiomycota, and absent in the main subkingdom of fungi, the Dikarya. We further tested the ability of the blastoclad to utilize nitrate and ammonia as inorganic nitrogen sources and glutamine for growth. We found that P. sedebokerense equally use ammonia and glutamine and use also nitrate, but with less efficiency. Altogether, our results show that GlnS type III is mandatory for the development and growth of P. sedebokerense and could be an efficient target to develop strategies for the control of the fungal parasite of H. lacustris.
A Research Based on Online Medical Platform: The Influence of Strong and Weak Ties Information on Patients’ Consultation Behavior

As an indispensable part of contemporary medical services, Internet-based medical platforms can provide patients with a full range of multi-disciplinary and multi-modal treatment services. Along with the emergence of many healthcare influencers and the increasing connection between online and offline consultations, the operation of individual physicians and their teams on Internet-based medical platforms has started to attract a lot of attention. The purpose of this paper is to, based on an Internet platform, study how the information on physicians’ homepages influences patients’ consultation behavior, so as to provide suggestions for the construction of physicians’ personal websites. We distinguish variables into strong- and weak-ties types, dependent on whether deep social interactions between physicians and patients have happened. If there exist further social interactions, we define the variable as the “strong ties” type, otherwise, “weak ties”. The patients’ consultation behavior will be expressed as the volume of online consultation, i.e., the number of patients. We obtained the strong and weak ties information of each physician based on EWM (entropy weight method), so as to establish a regression model with explained variable, i.e., the number of patients, and three explanatory variables, i.e., the strong and weak ties information, and their interaction term. The estimation results verified our hypotheses and proved to be robust. It showed that both strong and weak ties information can positively influence patients’ consultation behavior, and the influence of weak ties information is greater. Regarding the positive influence of strong and weak ties, we found a trade off effect between them. Based on the results, we finalize with some suggestions on how to improve a physician’s online medical consultation volume.
Quantitative optical imaging and sensing by joint design of point spread functions and estimation algorithms

The joint application of tailored optical Point Spread Functions (PSF) and estimation methods is an important tool for designing quantitative imaging and sensing solutions. By enhancing the information transfer encoded by the optical waves into an image, matched post-processing algorithms are able to complete tasks with improved performance relative to conventional designs. In this thesis, new engineered PSF solutions with image processing algorithms are introduced and demonstrated for quantitative imaging using information-efficient signal processing tools and/or optical-efficient experimental implementations. The use of a 3D engineered PSF, the Double-Helix (DH-PSF), is applied as one solution for three-dimensional, super-resolution fluorescence microscopy. The DH-PSF is a tailored PSF which was engineered to have enhanced information transfer for the task of localizing point sources in three dimensions. Both an information- and optical-efficient implementation of the DH-PSF microscope are demonstrated here for the first time. This microscope is applied to image single-molecules and micro-tubules located within a biological sample. A joint imaging/axial-ranging modality is demonstrated for application to quantifying sources of extended transverse and axial extent. The proposed implementation has improved optical-efficiency relative to prior designs due to the use of serialized cycling through select engineered PSFs. This system is demonstrated for passive-ranging, extended Depth-of-Field imaging and digital refocusing of random objects under broadband illumination. Although the serialized engineered PSF solution is an improvement over prior designs for the joint imaging/passive-ranging modality, it requires the use of multiple PSFs—a potentially significant constraint. Therefore an alternative design is proposed, the Single-Helix PSF, where only one engineered PSF is necessary and the chromatic behavior of objects under broadband illumination provides the necessary information transfer. The matched estimation algorithms are introduced along with an optically-efficient experimental system to image and passively estimate the distance to a test object. An engineered PSF solution is proposed for improving the sensitivity of optical wave-front sensing using a Shack-Hartmann Wave-front Sensor (SHWFS). The performance limits of the classical SHWFS design are evaluated and the engineered PSF system design is demonstrated to enhance performance. This system is fabricated and the mechanism for additional information transfer is identified.
Histopathological Findings of Pulmonary Hypertension With Elevated Pulmonary Arterial Wedge Pressure in Hereditary Hemorrhagic Telangiectasia

Received May 6, 2022; accepted May 6, 2022; J-STAGE Advance Publication released online May 26, 2022 Time for primary review: 1 day Department of Cardiology and Nephrology (K.Y., Y.O., N.F., K.D.), Department of Oncologic Pathology (Y.N.), Mie University Graduate School of Medicine, Tsu, Japan Mailing address: Yoshito Ogihara, MD, PhD, Department of Cardiology and Nephrology, Mie University Graduate School of Medicine, 2-174 Edobashi, Tsu 514-8507, Japan. E-mail: yoshito@clin.medic. mie-u.ac. jp All rights are reserved to the Japanese Circulation Society. For permissions, please e-mail: cr@j-circ.or. jp ISSN-2434-0790 Histopathological Findings of Pulmonary Hypertension With Elevated Pulmonary Arterial Wedge Pressure in Hereditary Hemorrhagic Telangiectasia
Test bench for emulating a variety of salient rotor electrical propulsion machines with a single permanent-magnet synchronous machine drive

The design of the powertrain of electric vehicles (EVs) and hybrid EVs could require the testing of different electrical machines (EMs) in order to evaluate their performances and to find the most suitable solution for that specific propulsion system. The number of EMs that can be tested is limited by economical and practical issues. Moreover, numerical simulations cannot always represent a reliable mean to understand the real behaviour of the system. This study presents a new mathematical model to emulate different virtual machines using only one real machine.
New Cell Lines Derived from European Tick Species

Tick cell lines are important tools for research on ticks and the pathogens they transmit. Here, we report the establishment of ten new cell lines from European ticks of the genera Argas, Dermacentor, Hyalomma, Ixodes and Rhipicephalus originating from Germany and Spain. For each cell line, the method used to generate the primary culture, a morphological description of the cells and species confirmation by sequencing of the partial 16S rRNA gene are presented. Further molecular analysis of the two new Ixodes ricinus cell lines and three existing cell lines of the same species revealed genetic variation between cell lines derived from ticks collected in the same or nearby locations. Collectively, these new cell lines will support research into a wide range of viral, bacterial and protozoal tick-borne diseases prevalent in Europe.