Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of Algan hemostatic agent foam in rat femoral artery injury model: A randomized animal trial

Background/Aim: Nowadays, many deaths are related to vessel injury-induced blood loss. Failure to control bleeding also increases the risk of death. This study aimed to investigate the hemostatic effects of the Algan Hemostatic Agent (AHA) foam application in a rat model in which severe femoral artery bleeding was induced. Methods: Fourteen rats were randomly assigned to two groups: (1) control (physiological saline) (n = 7) and (2) AHA foam (n = 7). The left femoral artery of the rats was incised and when the bleeding started, and the area was pressed with another sponge for 10 s in all rats. Afterwards, physiological saline solution impregnated gauze or AHA foam was placed over same area. A chronometer was started and area was checked after 2 min. If no bleeding occurred during the first 2 min of application, it was recorded as “successful”. If bleeding occurred, the same procedure was repeated up to three times. If hemostasis could not be achieved even after the third application, it was considered a failure, and “failed” was recorded. All animals were sacrificed under high anesthesia for least 10 min after the experiment. Results: Application of AHA resulted in complete (100%) control of bleeding in all rats within the first 2 min. In control group, hemostasis was achieved in 1 out of 7 (14.3%) rats by the third application. Failure was recorded for the remaining six rats. The hemostatic success rate of the AHA foam was significantly higher than the rates of control group (P = 0.005). Conclusion: AHA foam is a very effective hemostatic agent and can be applied easily on vascular trauma models. Further studies are needed to elucidate hemostatic features of AHA.
Effects of Two Antiretroviral Drugs on the Crustacean Daphnia magna in River Water

Antiretroviral (ARVs) drugs are used to manage the human immunodeficiency virus (HIV) disease and are increasingly being detected in the aquatic environment. However, little is known about their effects on non-target aquatic organisms. Here, Daphnia magna neonates were exposed to Efavirenz (EFV) and Tenofovir (TFV) ARVs at 62.5–1000 µg/L for 48 h in river water. The endpoints assessed were mortality, immobilization, and biochemical biomarkers (catalase (CAT), glutathione S-transferase (GST), and malondialdehyde (MDA)). No mortality was observed over 48 h. Concentration- and time-dependent immobilization was observed for both ARVs only at 250–1000 µg/L after 48 h, with significant immobilization observed for EFV compared to TFV. Results for biochemical responses demonstrated that both ARVs induced significant changes in CAT and GST activities, and MDA levels, with effects higher for EFV compared to TFV. Biochemical responses were indicative of oxidative stress alterations. Hence, both ARVs could potentially be toxic to D. magna.
Social impact operations at the global base of the pyramid

In recent years, our field has seen an increase in research that explicitly emphasizes an objective of social impact in the most unprivileged parts of the world—the so‐called global base of the pyramid (BOP; referring to the 2.7 billion people living on less than $2.50 per day, the largest but most resource‐poor economic group globally). This trend seems to cut across the traditional application areas of operations management (OM) and operations research (OR), and it coincides with an increased emphasis on environmental, social, and corporate governance (ESG) values in industry, a greater prominence of the United Nations' Sustainable Development Goals (UN SDGs), and increases in social impact research in other academic fields. In this paper, we pull together representative examples from our field of what we consider as social impact research aimed at improving living conditions at the BOP. We first examine the scale and scope of work published in Production and Operations Management over the last 25 years, and then provide a broader summary of the spectrum of research within OM and OR that constitute this stream of literature. We adopt the stance that OM and OR should embrace the current societal emphasis on social responsibility and positive social impact—and strive to contribute to the most pressing problems for those living at the BOP. Although our field has produced a body of work addressing such problems, individual research projects of this type are usually not viewed as falling under the broad umbrella of social impact operations (SIO), but rather are classified as part of the closest application area. By providing an initial overview of this work, we wish to celebrate the contribution of our field to this area, highlight common themes, catalyze a dialogue across application areas among researchers with a common perspective, and identify opportunities for future research.
CRISPR/Cas9-Induced Mutagenesis of TMS5 Confers Thermosensitive Genic Male Sterility by Influencing Protein Expression in Rice (Oryza sativa L.)

The development of thermosensitive genic male sterile (TGMS) lines is the key to breeding two-line hybrid rice, which has been widely applied in China to increase grain yield. CRISPR/Cas9 has been widely used in genome editing to create novel mutants in rice. In the present study, a super grain quality line, GXU 47, was used to generate a new TGMS line with specific mutations in a major TGMS gene tms5 generated with CRISPR/Cas9-mediated genome editing in order to improve the rice quality of two-line hybrids. A mutagenesis efficiency level of 75% was achieved, and three homozygous T-DNA-free mutant lines were screened out. The mutants exhibited excellent thermosensitive male fertility transformation characteristics with complete male sterility at ≥24 °C and desirable male fertility at around 21 °C. Proteomic analysis based on isobaric tags for relative and absolute quantification (iTRAQ) was performed to unveil the subsequent proteomic changes. A total of 192 differentially expressed proteins (DEPs), including 35 upregulated and 157 downregulated, were found. Gene ontology (GO) analysis revealed that the DEPs were involved in a single-organism biosynthetic process, a single-organism metabolic process, oxidoreductase activity, and catalytic activity. Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis showed that the DEPs were involved in ubiquinone and other terpenoid quinone biosynthesis, the biosynthesis of secondary metabolites, metabolic pathways, and phenylpropanoid biosynthesis. Our study shows that high mutation efficiency was achieved in both target sites, and T-DNA-free mutant lines were obtained in the T1 generation. The present study results prove that it is feasible and efficient to generate an excellent mutant line with CRISPR/Cas9, which provides a novel molecular mechanism of male sterility caused by the mutation of tms5.
A Case-Control Study of the MTHFR C665T Gene Polymorphism on Macrocytic Anemia Among HIV-Infected Patients Receiving Zidovudine

Background Macrocytic anemia is the most common anemia in HIV-infected patients receiving zidovudine, and is closely related to folate and vitamin B12 deficiencies. Homocysteine >10 μmol/L and increased MMA (methylmalonic acid) levels >24.8 ng/mL indicate high/low folate and vitamin B12 deficiencies. Furthermore, MTHFR (Methylene-tetrahydrofolate-reductase) plays an essential role in the transmethylation of homocysteine to methionine and is related to DNA synthesis. The MTHFR C665T gene polymorphism decreases the activity of MTHFR, which culminates in homocysteinemia. Therefore, this case-control aims to assess the role of the MTHFR C665T gene polymorphism on the risk of macrocytic anemia among HIV-infected individuals receiving zidovudine. Methods This study was conducted using an unmatched case-control design and the participants were HIV-infected adults aged 20 to 59 years old, receiving zidovudine for four weeks and above. A sample of 232 patients was divided into case group with macrocytic anemia and the control having no anemia. Multivariate logistic regression analysis was then implemented to determine the risk factors. Results The results showed that there was a significant difference in the number of female and male patients namely 51.3% and 48.7%, respectively, with p< 0.001. Moreover, the mean age of the cases and control group was 41.9 ± 9.4 and 36.2 ± 8.3. Regarding education, there were significant differences between subjects with low and high education 47.8% vs 52.2% with p<0.001. The majority of patients or 90.95% had taken AZT for more than 6 months. The logistic regression analysis test results showed that sex, age, education level, duration of AZT use, and homocysteine levels were predictors of macrocytic anemia with p<0.05, while MTHFR C665T gene polymorphism and MMA levels were not risk factors. Conclusion MTHFR C665T gene polymorphism does not contribute to the incidence of macrocytic anemia among HIV-infected individuals receiving zidovudine.
Tumor-Treating Fields in Glioblastomas: Past, Present, and Future

Simple Summary Glioblastoma (GBM) is the most common malignant primary brain tumor. Although the standard of care, including maximal resection, concurrent radiotherapy with temozolomide (TMZ), and adjuvant TMZ, has largely improved the prognosis of these patients, the 5-year survival rate is still < 10%. Tumor-treating fields (TTFields), a noninvasive anticancer therapeutic modality, has been rising as a fourth treatment option for GBMs, as confirmed by recent milestone large-scale phase 3 randomized trials and subsequent real-world data, elongating patient overall survival from 16 months to 21 months. However, the mechanisms of antitumor efficacy, its clinical safety, and potential benefits when combined with other treatment modalities are far from completely elucidated. As an increasing number of studies have recently been published on this topic, we conducted this updated, comprehensive review to establish an objective understanding of the mechanism of action, efficacy, safety, clinical concerns, and future perspectives of TTFields. Abstract Tumor-treating fields (TTFields), a noninvasive and innovative therapeutic approach, has emerged as the fourth most effective treatment option for the management of glioblastomas (GBMs), the most deadly primary brain cancer. According to on recent milestone randomized trials and subsequent observational data, TTFields therapy leads to substantially prolonged patient survival and acceptable adverse events. Clinical trials are ongoing to further evaluate the safety and efficacy of TTFields in treating GBMs and its biological and radiological correlations. TTFields is administered by delivering low-intensity, intermediate-frequency, alternating electric fields to human GBM function through different mechanisms of action, including by disturbing cell mitosis, delaying DNA repair, enhancing autophagy, inhibiting cell metabolism and angiogenesis, and limiting cancer cell migration. The abilities of TTFields to strengthen intratumoral antitumor immunity, increase the permeability of the cell membrane and the blood–brain barrier, and disrupt DNA-damage-repair processes make it a promising therapy when combined with conventional treatment modalities. However, the overall acceptance of TTFields in real-world clinical practice is still low. Given that increasing studies on this promising topic have been published recently, we conducted this updated review on the past, present, and future of TTFields in GBMs.
Optimisation du test de production de circuits analogiques et RF par des techniques de modélisation statistique

La part du au test dans le cout de conception et de fabrication des circuits integres ne cesse de croitre, d'ou la necessite d'optimiser cette etape devenue incontournable. Dans cette these, de nouvelles methodes d'ordonnancement et de reduction du nombre de tests a effectuer sont proposees. La solution est un ordre des tests permettant de detecter au plus tot les circuits defectueux, qui pourra aussi etre utilise pour eliminer les tests redondants. Ces methodes de test sont basees sur la modelisation statistique du circuit sous test. Cette modelisation inclus plusieurs modeles parametriques et non parametrique permettant de s'adapte a tous les types de circuit. Une fois le modele valide, les methodes de test proposees generent un grand echantillon contenant des circuits defectueux. Ces derniers permettent une meilleure estimation des metriques de test, en particulier le taux de defauts. Sur la base de cette erreur, un ordonnancement des tests est construit en maximisant la detection des circuits defectueux au plus tot. Avec peu de tests, la methode de selection et d'evaluation est utilisee pour obtenir l'ordre optimal des tests. Toutefois, avec des circuits contenant un grand nombre de tests, des heuristiques comme la methode de decomposition, les algorithmes genetiques ou les methodes de la recherche flottante sont utilisees pour approcher la solution optimale.
Utility of serum indices in a particular case of serum protein electrophoresis

Screening and measurement of monoclonal (M) proteins are commonly performed using capillary zone electrophoresis (CZE). The identification of M-protein or monoclonal component (CM) is an essential requirement for diagnosis and monitoring of monoclonal gammopathies. The detection of CM has been largely improved by CZE. Capillary electrophoresis estimates CM more accurately, because absence of variation due to different dye binding affinities of proteins as instead seen with agarose gel electrophoresis. However, interferences can be present in CZE. This occurs because all substances absorbing at 200 nm can be identified. Recognition and handling of specimens exhibiting such interferences is essential to ensure accurate diagnostic and patient safety. We herein report on an unusual case of serum protein electrophoresis, to highlight that laboratory staff must be aware of and familiarise with the information provided by laboratory instruments. For example, in the case of serum indices, about specimen quality.
The Fokker-Planck coefficient for pitch-angle scattering of cosmic rays. [considering magnetic field fluctuations

For the case of homogeneous, isotropic magnetic field fluctuations, it is shown that most theories which are based on the quasi-linear and adiabatic approximations yield the same integral for the Fokker-Planck coefficient for the pitch-angle scattering of cosmic rays. For example, despite apparent differences, the theories due to Jokipii and to Klimas and Sandri yield the same integral. It is also shown, however, that this integral in most cases has been evaluated incorrectly in the past. For small pitch angles, the errors in previous evaluations are fortuitously of minor importance. For large pitch angles, however, these errors become more significant; and for pitch angles of 90 deg, the actual Fokker-Planck coefficient contains a delta function which has been overlooked in the past. The implications of these corrections on the possibility of relating cosmic-ray diffusion coefficients to observed properties of the interplanetary magnetic field are discussed.
Gray wolf‐student psychology optimization‐based deep long short term memory for survival prediction using cancer gene‐expression data

Oncology treatment accuracy relies on providing information from a variety of sources to have a accurate assessment of a patient's health status and prediction. With the advancement in medical field, accurate prediction allows prescription of more effective treatments and customized medical services to individual patient's. Next generation sequencing has put pressure on cancer researchers in recent years by giving doctors access to vast amounts of data from RNA‐seq high‐throughput fields. Effectual survival prediction can save patient's life from threatening at earlier stage. In addition, traditional techniques of gene expression datasets failed to trade off balance among huge genes and low number of samples available, thereby resulting low level of survival prediction rate. Therefore, this research proposes an efficient model for survival prediction of cancer patients using proposed gray wolf‐student psychology optimization‐based deep long short term memory (GW‐SPO based deep LSTM). The proposed GW‐SPO is derived by incorporating gray wolf optimization (GWO) and student psychology based optimization (SPBO). However, survival prediction is performed effectively using deep LSTM and network classifier is trained using proposed GW‐SPO. Nevertheless, proposed GW‐SPO has achieved superior results with minimum RMSE of 0.325, and minimum prediction error of 0.110 for analysis with cluster size of 5.
Distribution of Values of Holomorphic Mappings

A vast literature has grown up around the value distribution theory of meromorphic functions, synthesized by Rolf Nevanlinna in the 1920s and singled out by Hermann Weyl as one of the greatest mathematical achievements of this century. The multidimensional aspect, involving the distribution of inverse images of analytic sets under holomorphic mappings of complex manifolds, has not been fully treated in the literature. This volume thus provides a valuable introduction to multivariate value distribution theory and a survey of some of its results, rich in relations to both algebraic and differential geometry and surely one of the most important branches of the modern geometric theory of functions of a complex variable.Since the book begins with preparatory material from the contemporary geometric theory of functions, only a familiarity with the elements of multidimensional complex analysis is necessary background to understand the topic. After proving the two main theorems of value distribution theory, the author goes on to investigate further the theory of holomorphic curves and to provide generalizations and applications of the main theorems, focusing chiefly on the work of Soviet mathematicians.
Microsomal P450-related Electron Transfer Components, Glutathione and Glutathione S-transferase Contribution in Stress Response of Herbicide-treated Wheat to Drought and Waterlogging

The activities of some plant microsomal P450-related electron transfer components (NADPH-cytochrome P450 reductase, CPR and NADH-cytochrome b5 reductase, B5R), glutathione S-transferase (GST) together with the content of reduced (GSH) and oxidized (GSSG) glutathione were determined in wheat (Triticum aestivum L., cv. Sadovo 1) treated with herbicide Serrate® prior to drought or waterlogging. Both stresses, especially drought, increased the content of glutathione and the activities of CPR and B5R during the stress, while GST activity was rather decreased. Herbicide application alone increased substantially most of the parameters, especially at the beginning of the experimental period. Serrate®+drought/waterlogging (S+D/W), amplified the observed alterations (except for GST), which were more significant after drought. The decrease in ratio GSH to GSSG after 4 days of recovery for all treatment groups except Serrate® signifies disrupted buffer capacity in cells. After 4 days of recovery the activities of CPR and B5R dropped below the control, while the glutathione pool and GST activity remained increased in drought and S+D treated plants. Contrariwise, the levels of glutathione, CPR and B5R remained closer to control in waterlogged plants, while S+W kept higher levels of P450-related enzymes. The herbicide application prior to drought or waterlogging did not affect negatively detoxification and oxidative status of wheat plants compared to those subjected to water stress alone.
The Combination of Sleep Disorders and Depression Significantly Increases Cancer Risk: A Nationwide Large-Scale Population-Based Study

Introduction: Sleep disorders, depression, and cancer have become increasingly prevalent worldwide. However, it is unknown whether coexistence of sleep disorders and depression influences the risk of cancer development. Therefore, we conducted a nationwide population-based study to examine this association among patients in Taiwan. Materials and Methods: A total of 105,071 individuals diagnosed with cancer and 420,284 age- and sex-matched patients without a diagnosis of cancer between 2000 and 2015 were identified from Taiwan’s National Health Insurance Research Database. The underlying chronic diseases of patients that may developed cancer were gathered and studied as the predictor. A multivariate Cox proportional odds model was used to estimate the crude and adjusted odds ratios (aORs) with 95% confidence intervals (CIs) to estimate the interaction effect between sleep disorders and depression on the risk of cancer. Results: After adjusting for age, sex, comorbidities, and other covariates, the cancer group was associated with increased exposure to sleep disorders than the non-cancer group (aOR = 1.440, 95% CI = 1.392–1.489, p < 0.001). In addition, patients with both sleep disorders and depression were at an even higher risk for cancer than the general population (aOR = 6.857, p < 0.001). Conclusions: This retrospective cohort study shows that patients with both sleep disorders and depression are at a higher risk of cancer. Clinically, a meticulous cancer risk evaluation is recommended for patients with both sleep disorders and depression.
Carbapenemase Inhibitors: Updates on Developments in 2021

Carbapenem resistance, an emerging global health problem, compromises the treatment of infections caused by nosocomial pathogens. Preclinical and clinical trials demonstrate that a new generation of carbapenemases inhibitors, together with the recently approved avibactam, relebactam and vaborbactam, would address this resistance. Our review summarizes the latest developments related to carbapenemase inhibitors synthesized to date, as well as their spectrum of activity and their current stage of development. A particular focus will be on β-lactam/β-lactamase inhibitor combinations that could potentially be used to treat infections caused by carbapenemase-producer pathogens. These new combinations mark a critical step forward the fight against antimicrobial resistance.
The Alpha Dynamo Effects in Laboratory Plasmas

A concise review of observations of the alpha dynamo effect in laboratory plasmas is given. Unlike many astrophysical systems, the laboratory pinch plasmas are driven magnetically. When the system is overdriven, the resultant instabilities cause magnetic and flow fields to fluctuate, and their correlation induces electromotive forces along the mean magnetic field. This alpha-effect drives mean parallel electric current, which, in turn, modifies the initial background mean magnetic structure towards the stable regime. This drive-and-relax cycle, or the so-called self-organization process, happens in magnetized plasmas in a timescale much shorter than resistive diffusion time, thus it is a fast and unquenched dynamo process. The observed alpha-effect redistributes magnetic helicity (a measure of twistedness and knottedness of magnetic field lines) but conserves its total value. It can be shown that fast and unquenched dynamos are natural consequences of a driven system where fluctuations are statistically either not stationary in time or not homogeneous in space, or both. Implications to astrophysical phenomena will be discussed.