Miracle-dz/UniFAR-FTUs huggingface dataset:
Environmental risk factors associated with the survival, persistence, and thermal tolerance of Cronobacter sakazakii during the manufacture of powdered infant formula

Abstract Cronobacter sakazakii is an opportunistic foodborne pathogen of concern for foods having low water activity such as powdered infant formula (PIF). Its survival under desiccated stress can be attributed to its ability to adapt effectively to many different environmental stresses. Due to the high risk to neonates and its sporadic outbreaks in PIF, C. sakazakii received great attention among the scientific community, food industry and health care providers. There are many extrinsic and intrinsic factors that affect C. sakazakii survival in low-moisture foods. Moreover, short- or long-term pre-exposure to sub-lethal physiological stresses which are commonly encountered in food processing environments are reported to affect the thermal resistance of C. sakazakii. Additionally, acclimation to these stresses may render C. sakazakii resistance to antibiotics and other antimicrobial agents. This article reviews the factors and the strategies responsible for the survival and persistence of C. sakazakii in PIF. Particularly, studies focused on the influence of various factors on thermal resistance, antibiotic or antimicrobial resistance, virulence potential and stress-associated gene expression are reviewed.
Molecular modelling study to discover novel JAK2 signaling pathway inhibitor

Abstract The JAK2/STAT signaling cascades facilitates receptor signals which is responsible for cell growth, survival and homeostasis. Ligand binding to JAKs causes phosphorylation other proteins known as STATs, which translocate to the nucleus and regulate transcription of several important proteins. Growth hormone, prolactin and γ-interferon known agonists of JAK STAT receptors, signal to the nucleus by a more direct manner than the receptor tyrosine kinases. Mutations in JAKs may be responsible for immunodeficiency and myeloproliferative disorders because of its important role in cytokine signaling and making the pathway a therapeutic target for various disease. The present study screened Zinc database to find novel JAK2 inhibitors using virtual high throughput screening techniques. Selection of compound for further study was on the basis of docking score, free energy and binding pattern of the compound. Molecular simulation and MM/GBSA free energy was evaluated for the binding interactions and the stability of docked conformations. Several parameters which determine protein ligand interaction like RMSD, RMSF, Rg and binding pattern were observed. Hydrogen bonds (Glu 930, 932 and Asp 994) after 150 ns simulation were observed between identified compound INC000096136346 and it was similar to known inhibitor ruxolitinib. MM/GBSA free energy was comparable to known inhibitor ruxolitinib. ZINC000096136346 qualify Lipinski’s rule of five, rule of three, WDI like rule and there is one violation in lead like rule. Communicated by Ramaswamy H. Sarma
Amorphization and modified release of ibuprofen by post-synthetic and solvent-free loading into tailored silica aerogels

Abstract Promising active pharmaceutical ingredients (APIs) often exhibit poor aqueous solubility and thus a low bioavailability that substantially limits their pharmaceutical application. Hence, efficient formulations are required for an effective translation into highly efficient drug products. One strategy is the preservation of an amorphous state of the API within a carrier matrix, which leads to enhanced dissolution. In this work, mesoporous silica aerogels (SA) were utilized as a carrier matrix for the amorphization of the poorly water-soluble model drug ibuprofen. Loading of tailored SA was performed post-synthetically and solvent-free, either by co-milling or via the melting method. Thorough analyses of these processes demonstrated the influence of macrostructural changes during the drying and grinding process on the microstructural properties of the SA. Furthermore, interfacial SA-drug interaction properties were selectively tuned by attaching terminal hydrophilic amino- or hydrophobic methyl groups to the surface of the gel. We demonstrate that not only the chemical surface properties of the SA, but also formulation-related parameters, such as the carrier-to-drug ratio, as well as process-related parameters, such as the drug loading method, decisively influence the ibuprofen adsorption efficiency. In addition, the drug-loaded SA formulations exhibited a remarkable physical stability over a period of 6 months. Furthermore, the release behavior is shown to change considerably with different surface properties of the SA matrix. Hence, the reported results demonstrate that utilizing specifically processed and modified SA offers a compelling technique for enhancement of the bioavailability of poorly-water soluble APIs and a versatile adjustment of their release profile. Graphical Abstract
Multi-Objective Hill Climbing for Automated RESTful API Test Case Generation

RESTful APIs tend to be difﬁcult to manually write tests for. To help developers with this tedious task, a tool called EvoMaster has already been developed, to aim to automate the generation of test cases for RESTful APIs. The automation of test cases can be modeled as a multi-objective optimization problem. The existing tool EvoMaster has already implemented some global evolutionary search algorithms to solve this problem. In the context of RESTful APIs however, to this date, little attention has been given to a much simpler search algorithm: hill climbing. In contrast, hill climbing has been studied both inside and outside the context of search-based testing, and has found to be bene-ﬁcial in a range of applications. The goal of this paper is to investigate the application of hill climbing within the context of testing RESTful APIs. The paper proposes a new local algorithm and compares its performance in the empirical study. Re-sults comparing the local algorithm with the evolutionary counterpart show that the state of the art global algorithm is still superior. Although the empirical study also indicates that the novel hill climbing algorithm is able to cover a signiﬁcant selection of branches, which the global one cannot.
Update in approaches to pulmonary hypertension because of left heart disease

Purpose of review Left heart disease is the most common cause of pulmonary hypertension. This review summarizes the current care of patients with pulmonary hypertension caused by left heart disease (PH-LHD) and discusses recent and active clinical trials in this patient population. Recent findings The primary focus of interventions aimed at treating PH-LHD address the treatment of left heart disease. Significant advancements in the treatment of heart failure with preserved ejection fraction (HFpEF), a frequent cause of PH-LHD, are supported in the current literature. Patients with residual pulmonary hypertension despite optimal treatment of left heart disease have poor outcomes. Yet, interventions targeting the pulmonary vasculature in PH-LHD patients have not demonstrated significant benefits in studies to date. Current work focuses on differentiating isolated postcapillary pulmonary hypertension (IpcPH) from combined precapillary and postcapillary pulmonary hypertension (CpcPH) in a clinically consistent manner. It is hopeful that thorough phenotyping of PH-LHD patients will translate into effective treatment strategies addressing pulmonary vascular disease. Summary Referral to centers of excellence, considerations for enrollment in clinical trials, and evaluation for transplant is recommended for patients with residual pulmonary hypertension despite optimal treatment of left heart disease, particularly those with CpcPH.
On Monotonic Radial Basis Function Networks

This article deals with monotonicity conditions for radial basis function (RBF) networks. Two architectures of RBF networks are considered—1) unnormalized network with a local character of the basis function and 2) a normalized network where the value of RBF is taken relatively with respect to the others. Different approaches are followed for each of them. For the former, monotonicity is enforced in prescribed points whereas for the latter sufficient monotonicity conditions are formulated. In both cases, the monotonicity conditions are expressed as linear constraints on the network weights that enable efficient solving of the related optimization problems. Many illustrative examples are presented to show the advantages of incorporating prior information in the form of monotonicity.
IMPACT (Information Medically Pertinent in Acute Computed Tomography) requests: Delphi study to develop criteria standards for adequate clinical information in computed tomography requests in the Australian emergency department

Inadequate clinical information in medical imaging requests negatively affects the clinical relevance of imaging performed and the quality of resultant radiology reports. Currently, there are no published Australian guidelines on what constitutes adequate clinical information in computed tomography (CT) requests. This study aimed to determine specific items of clinical information radiologists require in CT requests for acute chest, abdomen and blunt trauma examinations, to support optimal reporting.
Fourier Functor and its Application to the Moduli of Bundles on an Abelian Variety

At the symposium we talked on the vector bundles on a K3 surface and applications to the geometry of a K3 surface. Most content of our talk is contained in the paper "On the moduli space of bundles on K3 surfaces, I" to appear in the proceeding of the symposium on vector bundles at Tata Institute in 1984. In this article we discuss the vector bundles on an abelian variety instead. In [12], we have defined the Fourier functor and shown its basic properties. This functor is a powerful tool for investigating the vector bundle (or coherent sheaves, more generally) on an abelian variety as we have shown for the Picard bundles in [12]. In this article, generalizing the results in [12], we shall show that a sheaf and its Fourier transform have the same local (in the Zariski topology) moduli space and apply this to the study of the moduli space of vector bundles on an abelian variety X. In Section 1, we shall show that the moduli space of the Picard bundles is non-reduced in the case X is the Jacobian variety of a hyperelliptic curve of genus::2:3. In the remaining sections, we shall mainly study the sheaves Of U-type, which were first studied in [20] over an abelian surface.
Fractional Fourier Image Transformer for Multimodal Remote Sensing Data Classification

With the recent development of the joint classification of hyperspectral image (HSI) and light detection and ranging (LiDAR) data, deep learning methods have achieved promising performance owing to their locally sematic feature extracting ability. Nonetheless, the limited receptive field restricted the convolutional neural networks (CNNs) to represent global contextual and sequential attributes, while visual image transformers (VITs) lose local semantic information. Focusing on these issues, we propose a fractional Fourier image transformer (FrIT) as a backbone network to extract both global and local contexts effectively. In the proposed FrIT framework, HSI and LiDAR data are first fused at the pixel level, and both multisource feature and HSI feature extractors are utilized to capture local contexts. Then, a plug-and-play image transformer FrIT is explored for global contextual and sequential feature extraction. Unlike the attention-based representations in classic VIT, FrIT is capable of speeding up the transformer architectures massively and learning valuable contextual information effectively and efficiently. More significantly, to reduce redundancy and loss of information from shallow to deep layers, FrIT is devised to connect contextual features in multiple fractional domains. Five HSI and LiDAR scenes including one newly labeled benchmark are utilized for extensive experiments, showing improvement over both CNNs and VITs.
DNA methyltransferase-1 in acute myeloid leukaemia: beyond the maintenance of DNA methylation

Abstract DNA methylation is considered an essential epigenetic event during leukaemogenesis and the emergence of drug resistance, which is primarily regulated by DNA methyltransferases. DNA methyltransferase-1 (DNMT1) is one of the members of DNA methyltransferases, in charge of maintaining established methylation. Recently, DNMT1 is shown to promote malignant events of cancers through the epigenetic and non-epigenetic processes. Increasing studies in solid tumours have identified DNMT1 as a therapeutic target and a regulator of therapy resistance; however, it is unclear whether DNMT1 is a critical regulator in acute myeloid leukaemia (AML) and how it works. In this review, we summarized the recent understanding of DNMT1 in normal haematopoiesis and AML and discussed the possible functions of DNMT1 in promoting the development of AML and predicting the sensitivity of hypomethylation agents to better understand the relationship between DNMT1 and AML and to look for new hope to treat AML patients. Key messages The function of DNA methyltransferase-1 in acute myeloid leukaemia. DNA methyltransferase-1 predicts the sensitivity of drug and involves the emergence of drug resistance.
The influence of incidental emotions on decision-making under risk and uncertainty: a systematic review and meta-analysis of experimental evidence

ABSTRACT Emotions influence human decisions under risk and uncertainty, even when they are unrelated to the decisions, i.e. incidental to them. Empirical findings are mixed regarding the directions and sizes of the effects of discrete emotions such as fear, anger, or happiness. According to the Appraisal-Tendency Framework (ATF), appraisals of certainty and control determine why same-valence emotions can differentially alter preferences for risky and uncertain options. Building upon this framework of emotion-specific appraisals, we conducted a systematic review and meta-analysis of 28 experimental studies on the effects of discrete incidental emotions on decision-making under risk and uncertainty. We evaluated potential moderators at the task and study levels. We find emotion-specific, moderately heterogeneous effects partially in line with the expectations of the ATF. The framing and financial consequences of choices, the type of choices, and the presence of other participants during the task do not moderate the effect. Our meta-analytic results support the differential influence of discrete, incidental emotions on decision-making under risk and uncertainty depending on appraisals other than valence. We discuss limited sample sizes and heterogeneity as reasons for the absence of significant moderators and encourage experimental investigations of individual differences in the susceptibility to incidental affective influences.
Imaging Glioblastoma Metabolism by Using Hyperpolarized [1-13C]Pyruvate Demonstrates Heterogeneity in Lactate Labeling: A Proof of Principle Study

Purpose To evaluate glioblastoma (GBM) metabolism by using hyperpolarized carbon 13 (13C) MRI to monitor the exchange of the hyperpolarized 13C label between injected [1-13C]pyruvate and tumor lactate and bicarbonate. Materials and Methods In this prospective study, seven treatment-naive patients (age [mean ± SD], 60 years ± 11; five men) with GBM were imaged at 3 T by using a dual-tuned 13C–hydrogen 1 head coil. Hyperpolarized [1-13C]pyruvate was injected, and signal was acquired by using a dynamic MRI spiral sequence. Metabolism was assessed within the tumor, in the normal-appearing brain parenchyma (NABP), and in healthy volunteers by using paired or unpaired t tests and a Wilcoxon signed rank test. The Spearman ρ correlation coefficient was used to correlate metabolite labeling with lactate dehydrogenase A (LDH-A) expression and some immunohistochemical markers. The Benjamini-Hochberg procedure was used to correct for multiple comparisons. Results The bicarbonate-to-pyruvate (BP) ratio was lower in the tumor than in the contralateral NABP (P < .01). The tumor lactate-to-pyruvate (LP) ratio was not different from that in the NABP (P = .38). The LP and BP ratios in the NABP were higher than those observed previously in healthy volunteers (P < .05). Tumor lactate and bicarbonate signal intensities were strongly correlated with the pyruvate signal intensity (ρ = 0.92, P < .001, and ρ = 0.66, P < .001, respectively), and the LP ratio was weakly correlated with LDH-A expression in biopsy samples (ρ = 0.43, P = .04). Conclusion Hyperpolarized 13C MRI demonstrated variation in lactate labeling in GBM, both within and between tumors. In contrast, bicarbonate labeling was consistently lower in tumors than in the surrounding NABP. Keywords: Hyperpolarized 13C MRI, Glioblastoma, Metabolism, Cancer, MRI, Neuro-oncology Supplemental material is available for this article. Published under a CC BY 4.0 license.
The Effect of Time Management and Motivation on Procrastination with Self- Efficacy as an Intervening Variable in Master's Degree Students Who Do Thesis While Working

:- The purpose of this study was to determine the effect of time management and motivation on procrastination with self-efficacy as an intervening variable in master's degree students who do their thesis while working. The method used in this research is the quantitative method with incidental sampling technique. The subject of this study found 50 master's students who worked while studying in 18 hotels in the city of Semarang. The results showed a significant negative effect between time management on procrastination, then the effect had no significant effect on procrastination, individual motivation had no effect in reducing or increasing procrastination behavior in Masters or Masters level students, there was a significant effect on self-efficacy on procrastination.
Review of Tourism Impacts and Its Categorization for Planning and Development

—The tourism industry is a global phenomenon. It is one of the fastest growing industries in the world. Modern tourism is closely linked to development. The initiatives of tourism development put impact on native people, local business and environment. Knowing the some depressing impact of tourism development result, present study explores the different type of tourism development impacts and categorizes into positive and negative classes of impacts. Study aims to explore impact of tourism on the development of local people. It presents types of impacts and also discusses the required initiatives to intensify these impacts in a positive manner on local community. The study is based on literature review and content analysis. The study concludes the tourism development initiatives has both positive as well as negative impacts. Researchers, planner, developers and other stakeholders need to promote positive impacts and work to rise above the negative impacts.
Biofloc excess as raw material for flakes production to ornamental fish and their use as organic fertilizer (Liquid or dry) for plants

This research was focused to found and apply to Biofloc excess produced in fish culture. For this, two options were considered: a) Flakes production to feed Ciprinus carpio juveniles, and b) Liquid or dry Biofloc to use as fertilizer in Capsicum annum plants. To make Biofloc flakes, it was used 80% of Biofloc and 20% of charal flour (DE). Three diets were tested: 1) Only DE, 2) DE with carrot (as pigment source), and 3) Control diet (Wardley® flakes). For chili plants it was tested: liquid Biofloc, dry Biofloc, Triple 17 and only water as fertilizer. The experiments had a duration of 75 and 180 days respectively. With C. carpio the highest survival (80%) was found in Control diet, Biofloc diets only obtained between 10-26% of survival. With chili plants, dry Biofloc presented the best results with 11 fruits per plant, while the plants with only water presented only two fruits per plant. In both experiments, variance analysis (ANOVA) showed significant differences ( P< 0.05) between treatments. It is necessary to know the adequate concentration of Biofloc for the elaboration of flakes and use them as a food source for fish. Used as fertilizer, first, liquid Biofloc need to be dry and then applied to as fertilizer.
Internet of Things (IoT): A Basic Concept and Analysis Security Issues

— The internet of things (IoT) is a huge dynamic global network infrastructure of internet enabled physical and virtual objects to connecting on concept as anything, anytime, anyplace, any place and anyone. In this paper review, analysis and briefly about IoT environment which consists of IoT definitions, elements, characteristics, architectures, technologies, application domains, and analyze the security issues and challenges.
Detoxi¢cation of a£atoxin B 1 by manganese peroxidase from the white-rot fungus PhanerochaetesordidaYK-624

Aﬂatoxin B 1 (AFB 1 ) is a potent mycotoxin with mutagenic, carcinogenic, teratogenic, hepatotoxic, and immunosuppressive properties. In order to develop a bioremediation system for AFB 1 -contaminated foods by white-rot fungi or ligninolytic enzymes, AFB 1 was treated with manganese peroxidase (MnP) from the white-rot fungus Phanerochaete sordida YK-624. AFB 1 was eliminated by MnP. The maximum elimination (86.0%) of AFB 1 was observed after 48 h in a reaction mixture containing 5 nkat of MnP. The addition of Tween 80 enhanced AFB 1 elimination. The elimination of AFB 1 by MnP considerably reduced its mutagenic activity in an umu test, and the treatment of AFB 1 by 20 nkat MnP reduced the mutagenic activity by 69.2%. 1 H-NMR and HR-ESI-MS analysis suggested that AFB 1 is ﬁrst oxidized to AFB 1 -8,9-epoxide by MnP and then hydrolyzed to AFB 1 -8,9-dihydrodiol. This is the ﬁrst report that MnP can effectively remove the mutagenic activity of AFB 1 by converting it into AFB 1 -8,9-dihydrodiol.
Distribution of Current Density in Layers of Overhead Bare Conductor

The paper discusses the issue of skin effect impact on the current distribution or on the current density over the conductor cross-section The consequence of the skin effect, which drives the current towards the conductor surface, is an uneven current distribution over the conductor cross-section. A mathematical algorithm is presented enebling the determination of the current density distribution over the tube conductor cross-section. The algorithm is computed with the Maxwell's equation from the theory of electromagnetic fields and by using Bessel's functions of the first and second order. With thus implemented model the authors developed an algorithm for the current density determination with consideration of the skin effect impact on the multi-layer bare conductor for overhead power transmission lines of the ACSR 490/65 type. Results are given for the current density distribution over individual layers of the observed conductor (the steel core and three conductive aluminum layers) and for variation of the inner inductance as well as for the equivalent radius coeficient as a function of the relative permeability of the steel core.