Miracle-dz/UniFAR-FTUs huggingface dataset:
PDK4 drives metabolic alterations and muscle atrophy in cancer cachexia

Cachexia is frequently accompanied by severe metabolic derangements, although the mechanisms responsible for this debilitating condition remain unclear. Pyruvate dehydrogenase kinase (PDK)4, a critical regulator of cellular energetic metabolism, was found elevated in experimental models of cancer, starvation, diabetes, and sepsis. Here we aimed to investigate the link between PDK4 and the changes in muscle size in cancer cachexia. High PDK4 and abnormal energetic metabolism were found in the skeletal muscle of colon‐26 tumor hosts, as well as in mice fed a diet enriched in Pirinixic acid, previously shown to increase PDK4 levels. Viral‐mediated PDK4 over‐expression in myotube cultures was sufficient to promote myofiber shrinkage, consistent with enhanced protein catabolism and mitochondrial abnormalities. On the contrary, blockade of PDK4 was sufficient to restore myotube size in C2C12 cultures exposed to tumor media. Our data support, for the first time, a direct role for PDK4 in promoting cancer‐associated muscle metabolic alterations and skeletal muscle atrophy. —Pin, F. , Novinger, L. J., Huot, J. R. , Harris, R. A. , Couch, M. E. , O'Connell, T. M. , Bonetto, A. PDK4 drives metabolic alterations and muscle atrophy in cancer cachexia. FASEB J. 33, 7778–7790 (2019). www.fasebj. org
Bourgeois Ideology and Education: Subversion through Pedagogy

The book Bourgeois Ideology and Education: Subversion through Pedagogy by Steven Snow develops an approach to teaching students about bourgeois ideology, focusing on uncovering Malthusian thinking and meritocracy. Pedagogical tools for subversion include open and rational dialogue based on independent thinking and analysis of facts; service learning as a means to reduce prejudice; and analysis of literature to understand the lives of the poor. The book makes a timely contribution, informing instructors in political science, political economy, sociology, or any field committed to social justice.
Circulating microRNAs as biomarkers for myocardial fibrosis in patients with left ventricular non-compaction cardiomyopathy

Introduction Despite the fact that cardiovascular magnetic resonance (CMR) with late gadolinium enhancement (LGE) is a proven method for detecting myocardial fibrosis, there is a need for new and reliable serological biomarkers. Circulating miRNAs could be a practical and attractive alternative. The purpose of the study was to assess the miRNAs well established in myocardial fibrosis – miR-21, miR-29a, miR-30d and miR-133a – in the plasma of patients with left ventricular non-compaction (LVNC) that have areas of LGE assessed by CMR. Material and methods We prospectively enrolled 13 adult patients (9 males and 4 females; mean age: 39 ±11.7 years) considered to meet standard CMR criteria for LVNC and 10 healthy age- and sex-matched subjects. All LVNC patients and control subjects underwent CMR examination and the measurement of peripheral plasma levels of 4 miRNAs: miR-21, miR-29a, miR-30d and miR-133a. Results The LGE was present in 9 of the 13 (69.2%) LVNC patients, and most often located in the ventricular septum. Compared with LGE-negative patients, LGE-positive patients had significantly lower LVEF (28.3 ±13.3% vs. 53.5 ±14.9%, p = 0.0113) and greater LV end-diastolic diameter (67.8 ±9.5 mm vs. 57 ±2.2 mm, p = 0.01). Significant up-regulation of all 4 miRNAs was observed among LGE-positive patients vs. LGE-negative patients: miR-21 (p = 0.007), miR-29a (p = 0.0001), miR-30d (p = 0.001) and miR-133a (p = 0.0003). Conclusions The up-regulation of miR-21, miR-29a, miR-30d and miR-133a indicates the presence of LGE in LVNC patients, and therefore they may serve as potential biomarkers for myocardial fibrosis.
Acute Hypobaric Hypoxia-Mediated Biochemical/Metabolic Shuffling and Differential Modulation of S1PR-SphK in Cardiac and Skeletal Muscles.

AIM High altitude exposure alters biochemical, metabolic, and physiological features of heart and skeletal muscles, and hence has pathological consequences in these tissues. Central to these hypoxia-associated biochemical/metabolic shuffling are energy deficit accumulation of free radicals and ensuing oxidative damage in the tissue. Recent preclinical/clinical studies indicate sphingosine-1-phosphate (S1P) axis, comprising S1P G protein coupled receptors (S1PR1-5) and its synthesizing enzyme-sphingosine kinase (SphK) to have key regulatory roles in homeostatic cardiac and skeletal muscle biology. In view of this, the aim of the present study was to chart the initiation and progression of biochemical/metabolic shuffling and assess the coincident differential modulation of S1PR(1-5) expression and total SphK activity in cardiac and skeletal muscles from rats exposed to progressive hypobaric hypoxia (HH; 21,000 feet for 12, 24, and 48 hours). RESULTS HH-associated responses were evident as raised damage markers in plasma, oxidative stress, decreased total tissue protein, imbalance of intermediate metabolites, and aerobic/anaerobic enzyme activities in cardiac and skeletal muscles (gastrocnemius and soleus) culminating as energy deficit. CONCLUSION Cardiac and gastrocnemius muscles were more susceptible to hypoxic environment than soleus muscle. These differential responses were directly and indirectly coincident with temporal expression of S1PR(1-5) and SphK activity.
3D non-LTE line formation of neutral carbon in the Sun

Carbon abundances in late-type stars are important in a variety of astrophysical contexts. However C I lines, one of the main abundance diagnostics, are sensitive to departures from local thermodynamic equilibrium (LTE). We present a model atom for non-LTE analyses of C I lines, that uses a new, physically-motivated recipe for the rates of neutral hydrogen impact excitation. We analyse C I lines in the solar spectrum, employing a three-dimensional (3D) hydrodynamic model solar atmosphere and 3D non-LTE radiative transfer. We find negative non-LTE abundance corrections for C I lines in the solar photosphere, in accordance with previous studies, reaching up to around 0.1 dex in the disk-integrated flux. We also present the first fully consistent 3D non-LTE solar carbon abundance determination: we infer log ɛC = 8.44 ± 0.02, in good agreement with the current standard value. Our models reproduce the observed solar centre-to-limb variations of various C I lines, without any adjustments to the rates of neutral hydrogen impact excitation, suggesting that the proposed recipe may be a solution to the long-standing problem of how to reliably model inelastic collisions with neutral hydrogen in late-type stellar atmospheres.
Track clustering with a quantum annealer for primary vertex reconstruction at hadron colliders

Clustering of charged particle tracks along the beam axis is the first step in reconstructing the positions of hadronic interactions, also known as primary vertices, at hadron collider experiments. We use a 2036 qubit D-Wave quantum annealer to perform track clustering in a limited capacity on artificial events where the positions of primary vertices and tracks resemble those measured by the Compact Muon Solenoid experiment at the Large Hadron Collider. The algorithm, which is not a classical-quantum hybrid but relies entirely on quantum annealing, is tested on a variety of event topologies from 2 primary vertices and 10 tracks up to 5 primary vertices and 15 tracks. It is benchmarked against simulated annealing executed on a commercial CPU constrained to the same processor time per anneal as time in the physical annealer, and performance is found to be comparable for small numbers of vertices with an intriguing advantage noted for 2 vertices and 16 tracks.
The importance of better models in stochastic optimization

Significance Sensitivity of optimization algorithms to problem and algorithmic parameters leads to tremendous waste in time and energy, especially in applications with millions of parameters, such as deep learning. We address this by developing stochastic optimization methods demonstrably—both by theory and by experimental evidence—more robust, enjoying optimal convergence guarantees for a variety of stochastic optimization problems. Additionally, we highlight the importance of method sensitivity to problem difficulty and algorithmic parameters. Standard stochastic optimization methods are brittle, sensitive to stepsize choice and other algorithmic parameters, and they exhibit instability outside of well-behaved families of objectives. To address these challenges, we investigate models for stochastic optimization and learning problems that exhibit better robustness to problem families and algorithmic parameters. With appropriately accurate models—which we call the aprox family—stochastic methods can be made stable, provably convergent, and asymptotically optimal; even modeling that the objective is nonnegative is sufficient for this stability. We extend these results beyond convexity to weakly convex objectives, which include compositions of convex losses with smooth functions common in modern machine learning. We highlight the importance of robustness and accurate modeling with experimental evaluation of convergence time and algorithm sensitivity.
Intraoperative Photodiagnosis for Malignant Glioma Using Photosensitizer Talaporfin Sodium

Objective: The aim of this study was to demonstrate the clinical feasibility of intraoperative photodiagnosis (PD) of malignant brain tumor using talaporfin sodium (TPS), which is an agent used in photodynamic therapy (PDT) for cancers. Methods: Forty-seven patients diagnosed with malignant gliomas by preoperative imaging (42 patients with gliomas and 5 patients with other brain tumors) received an intravenous injection of TPS at 40 mg/m2 24 h before resection. During surgery, these patients were irradiated with diode laser light at 664 nm, and tumor fluorescence was observed. The fluorescence intensity was visually rated on a 3-point rating scale [strong fluorescence, weak fluorescence and no fluorescence]. TPS concentrations in 124 samples from 47 cases were measured by HPLC (High performance liquid chromatography). Results: The fluorescence intensity was confirmed to be weak in all patients with Grade II gliomas and strong in almost all patients with Grade III or IV gliomas, reflecting the histological grade of malignancy. In patients with non-glioma brain tumors except for 1 patient with a metastatic brain tumor, the fluorescence intensity was strong. The mean TPS concentration in tissues was 1.62 μg/g for strong fluorescence areas, 0.67 μg/g for weak fluorescence areas and 0.19 μg/g for no fluorescence areas. Conclusions: Establishment of an appropriate fluorescence observation system enabled fluorescence-guided resection of malignant brain tumors using TPS, and the fluorescence intensity of tumors correlated with the TPS concentrations in tissues. These results suggest that TPS is a useful photosensitizer for both intraoperative fluorescence diagnosis and photodynamic therapy.
A Temperament-Attachment-Mentalization-Based (TAM) Theory of Personality and Its Disorders

Theories of personality and its disorders need, from time to time, to be revised and updated according to new empirical and conceptual developments. Such development has taken place in the realms of affective neuroscience, evolution, and social cognition. In this article, we outline a new personality theory, which claims that phenomena we usually ascribe to the concept personality are best understood by postulating a web consisting of three major constituents: temperament (mainly primary emotions), attachment, and self-consciousness (mentalizing). We describe these constituents, their neurobiological underpinnings, the subjective experiences they evoke, and their behavioral implications. We discuss the relevance of the espoused theory in the field of personality disorders with references to borderline, narcissistic, and avoidant personality disorders as well as the DSM-5 alternative model. Implications for social psychology, psychotherapy, and common sense self-understanding are outlined. The theory aims to bridge previous contradictions between natural sciences and hermeneutics by its propositions of the evolution of self-consciousness.
The malnourished surgery patient: a silent epidemic in perioperative outcomes?

Purpose of review As many as two of every three major surgery patients are malnourished preoperatively – a diagnosis rarely made and treated even less frequently. Unfortunately, perioperative malnutrition is perhaps the least often identified surgical risk factor and is among the most treatable to improve outcomes. Recent findings Two important perioperative nutrition guidelines were published recently. Both emphasize nutrition assessment as an essential component of preoperative screening. The recently published perioperative nutrition screen (PONS) readily identifies patients at malnutrition risk, allowing for preoperative nutritional optimization. The use of computerized tomography scan and ultrasound lean body mass (LBM) evaluation to identify sarcopenia associated with surgical risk and guide nutrition intervention is garnering further support. Preoperative nutrition optimization in malnourished patients, use of immunonutrition in all major surgery, avoidance of preoperative fasting, inclusion of postoperative high-protein nutritional supplements, and early postoperative oral intake have all recently been shown to improve outcomes and should be utilized. Summary The recent publication of new surgical nutrition guidelines, the PONS score, and use of LBM assessments will allow better identification and earlier intervention on perioperative malnutrition. It is essential that in the future no patient undergoes elective surgery without nutrition screening and nutrition intervention when malnutrition risk is identified.
Psychometric Evaluation of the Nine-Item Problematic Internet Use Questionnaire (PIUQ-9) in Nine European Samples of Internet Users

Objectives: The nine-item Problematic Internet Use Questionnaire (PIUQ-9) is a brief self-report screening instrument for problematic internet use. The main objective of the present study was to explore the psychometric properties of the PIUQ-9 among nine different language-based samples of European internet users (Italian, German, French, Polish, Turkish, Hungarian, English, and Greek). Methods: The total sample comprised 5,593 internet users (38.1% men), aged between 18 and 87 years (M = 25.81; SD = 8.61). Via online recruitment, participants completed the PIUQ-9, the Brief Symptom Inventory (BSI) and items about time spent online. Results: Confirmatory factor analysis demonstrated that the bifactor model with one general factor (i.e., general problem) and two-specific factors (i.e., obsession and neglect + control disorder) yielded acceptable or good fit indices in all subsamples except for one. The common variance index in the bifactor model indicated that the general problem factor explained from 57.0 to 76.5% of common variance, which supports the presence of a strong global factor. According to the multiple indicators multiple causes (MIMIC) model, psychiatric symptoms had a moderate-to-strong direct effect on the general problem factor in all subsamples, ranging from β = 0.28 to β = 0.52 supporting the construct validity of the scale. Furthermore, in a majority of the subsamples, time spent online during the weekend had considerably higher effect sizes on the general problem factor than time spent online during weekdays. Conclusion: The present study highlights the appropriate psychometric properties of the PIUQ-9 across a number of European languages and cultures.
An agent-based model of dengue virus transmission shows how uncertainty about breakthrough infections influences vaccination impact projections

Prophylactic vaccination is a powerful tool for reducing the burden of infectious diseases, due to a combination of direct protection of vaccinees and indirect protection of others via herd immunity. Computational models play an important role in devising strategies for vaccination by making projections of its impacts on public health. Such projections are subject to uncertainty about numerous factors, however. For example, many vaccine efficacy trials focus on measuring protection against disease rather than protection against infection, leaving the extent of breakthrough infections (i.e., disease ameliorated but infection unimpeded) among vaccinees unknown. Our goal in this study was to quantify the extent to which uncertainty about breakthrough infections results in uncertainty about vaccination impact, with a focus on vaccines for dengue. To realistically account for the many forms of heterogeneity in dengue virus (DENV) transmission, which could have implications for the dynamics of indirect protection, we used a stochastic, agent-based model for DENV transmission informed by more than a decade of empirical studies in the city of Iquitos, Peru. Following 20 years of routine vaccination of nine-year-old children at 80% coverage, projections of the proportion of disease episodes averted varied by a factor of 1.76 (95% CI: 1.54–2.06) across the range of uncertainty about breakthrough infections. This was equivalent to the range of vaccination impact projected across a range of uncertainty about vaccine efficacy of 0.268 (95% CI: 0.210–0.329). Until uncertainty about breakthrough infections can be addressed empirically, our results demonstrate the importance of accounting for it in models of vaccination impact.
Flying through a narrow gap using neural network: an end-to-end planning and control approach

In this paper, we investigate the problem of enabling a drone to fly through a tilted narrow gap, without a traditional planning and control pipeline. To this end, we propose an end-to-end policy network, which imitates from the traditional pipeline and is fine-tuned using reinforcement learning. Unlike previous works which plan dynamical feasible trajectories using motion primitives and track the generated trajectory by a geometric controller, our proposed method is an end-to-end approach which takes the flight scenario as input and directly outputs thrust-attitude control commands for the quadrotor. Key contributions of our paper are: 1) presenting an imitate-reinforce training framework. 2) flying through a narrow gap using an end-to-end policy network, showing that learning based method can also address the highly dynamic control problem as the traditional pipeline does (see attached video1). 3) propose a robust imitation of an optimal trajectory generator using multilayer perceptrons. 4) show how reinforcement learning can improve the performance of imitation learning, and the potential to achieve higher performance over the model-based method.
Protection of human intestinal epithelial cells from oxidative stress caused by mercury using lactic acid bacteria

Heavy metals are harmful to human health. Therefore, we investigated the biosorption of heavy metals by lactic acid bacteria (LAB). Of all the tested heavy metals, biosorption by LAB was highest for mercury, followed by lead, cadmium, and finally arsenic. The viability of HCT-116 cells was reduced by half in the presence of 7.5 µg/mL mercury but recovered after the addition of selected LAB strains. HCT-116 cells showed increased superoxide dismutase and catalase activities, whereas glutathione peroxidase activities decreased significantly. Addition of Lactobacillus sakei TOKAI 57m recovered all antioxidant enzyme activities. Our results suggest that this strain can be used for cellular detoxification.
Contract complexity and trust in construction project subcontracting

The purpose of this paper is to unpack the “black box” of the relationship between contract and inter-organizational trust, both theoretically and empirically. Two mediators, namely perceived safeguard and restriction, are identified to build up two seemingly contrary possible paths between contract and trust from current literature. Both paths are tested in the context of Chinese construction industry due to our access to sample. ,A survey of 295 contractor-subcontractor relationships from Chinese construction industry was conducted. A three-step multiple regression model was employed to test the mediating effect of perceived safeguard and restriction. Then, a hierarchical regression model was used to test the possible moderating effect of bilateral transaction-specific investment. ,The empirical results support the mediating effect of perceived safeguard between contract and trust in the construction subcontracting industry. Bilateral transaction-specific investments enhance the positive effect of contract on safeguard perception. ,Theoretically, this study contributes to governance literature by opening up the “black box” of the relationship between contract and trust. It provides a better understanding of how and when contract complexity impacts trust, instead of simply focusing on whether contract and trust act as complements or substitutes. Practically, this study provides guidelines for construction firms to decide the degree of contract complexity under various degrees of bilateral transaction-specific investments to enhance the other party’s trust, so as to improve performance outcomes.
Signatures of a universal jump in the superfluid density of a two-dimensional Bose gas with a finite number of particles

We study, within the classical fields approximation, a two-dimensional weakly interacting uniform Bose gas of a finite number of atoms. By using a grand canonical ensemble formalism we show that such systems exhibit, in addition to the Berezinskii-Kosterlitz-Thouless (BKT) and thermal phases, the intermediate region. This region is characterized by a decay of current-current correlations at low momenta and by an algebraic decay of the first-order correlations with an exponent being larger than the critical value predicted by the BKT theory. The density of the superfluid fraction at the temperature which separates the BKT phase from the intermediate region approaches the one found by Nelson and Kosterlitz for two-dimensional superfluids while the number of atoms is increased.
Positive Solutions for Non-Variational Fractional Elliptic Systems with Negative Exponents

In this paper, we study strongly coupled elliptic systems in non-variational form with negative exponents involving fractional Laplace operators. We investigate the existence, nonexistence, and uniqueness of the positive classical solution. The results obtained here are a natural extension of the results obtained by Ghergu (2010), for the fractional case.
Treatment and Recycling of Wastewater From Food Industry using Fixed-Bed Adsorption Treatment on the Tertiary Stage

Water pollution occurs when toxic pollutants of varying kinds (organic and inorganic) are directly or indirectly discharged into water bodies without adequate treatment to remove such potential pollutants. Today’s sources of these potential pollutants, which cause high deterioration of freshwater quality, are industrial waste discharge, and industrial waste disposal practices. Therefore, the development of wastewater treatment processes to alleviate water pollution has been challenging and demanding. Food wastewater was characterized using COD, DO, Turbidity, pH, TS, TDS, and TSS. Comprising a mixture of areas including physical, and chemical methods to remove various potential pollutants. In this study, coagulation, sedimentation, and adsorption treatment were used to remove the pollutants contained in wastewater and also the treated water recycled back to the food processing industry. In addition, Superpro Designer Software was used to design a water recycling system that successfully meets the requirements of the standard A Regulation on Malaysia Environmental Quality.