Miracle-dz/UniFAR-FTUs huggingface dataset:
A Content Analysis of Self-Reported Financial Relationships in Biomedical Research

Abstract Introduction Financial conflicts of interest (fCOI) present well documented risks to the integrity of biomedical research. However, few studies differentiate among fCOI types in their analyses, and those that do tend to use preexisting taxonomies for fCOI identification. Research on fCOI would benefit from an empirically-derived taxonomy of self-reported fCOI and data on fCOI type and payor prevalence. Methods We conducted a content analysis of 6,165 individual self-reported relationships from COI statements distributed across 378 articles indexed with PubMed. Two coders used an iterative coding process to identify and classify individual fCOI types and payors. Inter-rater reliability was κ = 0.935 for fCOI type and κ = 0.884 for payor identification. Results Our analysis identified 21 fCOI types, 9 of which occurred at prevalences greater than 1%. These included research funding (24.8%), speaking fees (20.8%), consulting fees (18.8%), advisory relationships (11%), industry employment (7.6%), unspecified fees (4.8%), travel fees (3.2%), stock holdings (3.1%), and patent ownership (1%). Reported fCOI were held with 1,077 unique payors, 22 of which were present in more than 1% of financial relationships. The ten most common payors included Pfizer (4%), Novartis (3.9%), MSD (3.8%), Bristol Myers Squibb (3.2%), AstraZeneca (3.1%), GSK (3%), Boehringer Ingelheim (2.9%), Roche (2.8%), Eli LIlly (2.5%), and AbbVie (2.4%). Conclusions These results provide novel multi-domain prevalence data on self-reported fCOI and payors in biomedical research. As such, they have the potential to catalyze future research that can assess the differential effects of various types of fCOI. Specifically, the data suggest that comparative analyses of the effects of different fCOI types are needed and that special attention should be paid to the diversity of payor types for research relationships.
A Lattice Boltzmann Equation for Waves

We propose a lattice Boltzmann model for the wave equation. Using a lattice Boltzmann equation and the Chapman? Enskog expansion, we get 1D and 2D wave equations with truncation error of order two. The numerical tests show the method can be used to simulate the wave motions.
Ultra-low dark current InGaAs technology for focal plane arrays for low-light level visible-shortwave infrared imaging

Under the DARPA Photon Counting Arrays (PCAR) program we have investigated technologies to reduce the overall noise level in InGaAs based imagers for identifying a man at 100m under low-light level imaging conditions. We report the results of our experiments comprising of 15 InGaAs wafers that were utilized to investigate lowering dark current in photodiode arrays. As a result of these experiments, we have achieved an ultra low dark current of 2nA/cm2 through technological advances in InGaAs detector design, epitaxial growth, and processing at a temperature of +12.3°C. The InGaAs photodiode array was hybridized to a low noise readout integrated circuit, also developed under this program. The focal plane array (FPA) achieves very high sensitivity in the shortwave infrared bands in addition to the visible response added via substrate removal process post hybridization. Based on our current room-temperature stabilized SWIR camera platform, these imagers enable a full day-night imaging capability and are responsive to currently fielded covert laser designators, illuminators, and rangefinders. In addition, improved haze penetration in the SWIR compared to the visible provides enhanced clarity in the imagery of a scene. In this paper we show the results of our dark current studies as well as FPA characterization of the camera built under this program.
Persistence Infection of TGEV Promotes Enterococcus faecalis Infection on IPEC-J2 Cells

Transmissible gastroenteritis virus (TGEV) is a coronavirus causing diarrhea with high incidence in swine herds. Its persistent infection might lead to epithelial-mesenchymal transition (EMT) of swine intestinal epithelial cells, followed by subsequent infections of other pathogens. Enterococcus faecalis (E. faecalis) is a member of the enteric microorganisms and an opportunistic pathogen. There is no report of secondary E. faecalis infection to TGEV, even though they both target to the intestinal tracts. To investigate the interactions between TGEV and E. faecalis, we set up an in vitro infection model by the swine IPEC-J2 cells. Dynamic changes of cell traits, including EMT and cell motility, were evaluated through qPCR, Western blot, electronic microscopy, scratch test, Transwell migration test and invasion test, respectively. The adhesion and invasion tests of E. faecalis were taken to verify the impact of the preceding TGEV infection. The cell morphology and molecular marker evaluation results showed that the TGEV persistent infection induced EMT on IPEC-J2 cells; increased cellular motility and invasion potential were also observed. Spontaneously, the expression levels of fibronectin (FN) and the membrane protein integrin-α5, which are dominant bacterial receptors on IPEC-J2 cells, were upgraded. It indicated that the bacteria E. faecalis adhered to IPEC-J2 cells through the FN receptor, and then invaded the cells by binding with the integrin-α5, suggesting that both molecules were critical for the adhesion and invasion of E. faecalis to IPEC-J2 cells. Additionally, it appeared that E. faecalis alone might trigger certain EMT phenomena, implying a vicious circle might occur. Generally, bacterial and viral co-infections are frustrating yet common in both human and veterinary medicines, and our observations on enteric TGEV and E. faecalis interactions, especially the diversity of bacterial invasion strategies, might provide new insights into the mechanisms of E. faecalis pathogenicity.
A Reasoned Action Approach to Limiting Excessive Social Media Usage Among Adults

ABSTRACT The literature on social media suggests a link between use and negative mental health consequences. Numerous theoretical perspectives have attempted to explain the underlying mechanisms for this relationship but are lacking a clear explanation for why some individuals may be negatively impacted by their social media use. Despite a plethora of research on this relationship, minimal research has examined the act of limiting social media use as a promotional behavior. This study takes a fresh approach by investigating attitudinal components that predict intentions to limit social media use via the reasoned action approach. US adults (N = 298) participated in an online survey on excessive social media use. Attitudes, perceived norms, and perceived behavioral control were significant predictors of intentions to limit social media use. In addition, perceived behavioral control was hypothesized to moderate both the attitude to intention and norm to intention relationships in that these associations would be stronger for those with higher control beliefs. Results showed that strong control beliefs strengthened the attitudes to intentions relationship but weakened the norm to intention relationship. Future practical and research directions are discussed to promote limiting social media use and further investigate the negative mental health outcomes of excessive social media.
Chloride Intracellular Channel Protein 2 Promotes Microglial Invasion: A Link to Microgliosis in the Parkinson’s Disease Brain

Activated microglia potentially cause neurodegeneration in Parkinson’s disease (PD). Matrix metalloproteinase (MMP)-9 plays a crucial role in the pathogenesis of PD, but the modulator of microglial release of MMP-9 remains obscure. Given the modulatory effect of chloride intracellular channel protein 2 (CLIC2) on MMPs, we aimed to determine the role of CLIC2 in regulating microglial MMP expression and activation. We found that CLIC2 is expressed in microglia and neurons in rat brain tissue and focused on the function of CLIC2 in primary cultured microglia. Exposure to recombinant CLIC2 protein enhanced microglial invasion activity, and its knockdown abolished this activity. Moreover, increased activation of MMP-9 was confirmed by the addition of the CLIC2 protein, and CLIC2 knockdown eliminated this activation. Additionally, increased expression of CLIC2 was observed in PD-modeled tissue. In conclusion, CLIC2 increases MMP-9 activity in the microglia, which are involved in PD pathogenesis.
Geometric theory of discrete non-autonomous dynamical systems

In recent years we have seen an explosion in the literature related to dynamical systems with infinite-dimensional state space, Sell and You [13], Chicone and Latushkin [3], Kloeden and Rasmussen [5] to mention a few. Actually the infinite-dimensional aspect of even scalar differential equations was suggested by Sell [12] with the observation that one must follow the evolution in time not only of a solution, but also of the right-hand side of a differential equation
On the origin of oval defects in metalorganic molecular beam epitaxy of InP

We have studied the dependence of oval‐shaped defects on growth conditions during metalorganic molecular beam epitaxy of InP. The density of oval defects is independent of growth conditions but strongly dependent on the initial substrate surface preparation. Contaminants existing on the surface prior to growth are indicated as the likely cause of oval defect formation due to local enhancement of metalorganic molecules cracking on the surface and the subsequent formation of group III rich structures. High densities of such defects are shown to degrade the optical properties of InGaAs quantum wells.
Generation and Characterization of a SARS-CoV-2-Susceptible Mouse Model Using Adeno-Associated Virus (AAV6.2FF)-Mediated Respiratory Delivery of the Human ACE2 Gene

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the aetiological agent of coronavirus disease 2019 (COVID-19) that has caused a pandemic with millions of human infections. There continues to be a pressing need to develop potential therapies and vaccines to inhibit SARS-CoV-2 infection to mitigate the ongoing pandemic. Epidemiological data from the current pandemic indicates that there may be sex-dependent differences in disease outcomes. To investigate these differences, we proposed to use common small animal species that are frequently used to model disease with viruses. However, common laboratory strains of mice are not readily infected by SARS-CoV-2 because of differences in the angiotensin-converting enzyme 2 (ACE2), the cellular receptor for the virus. To overcome this limitation, we transduced common laboratory accessible strains of mice of different sexes and age groups with a novel a triple AAV6 mutant, termed AAV6.2FF, encoding either human ACE2 or luciferase via intranasal administration to promote expression in the lung and nasal turbinates. Infection of AAV-hACE2-transduced mice with SARS-CoV-2 resulted in high viral titers in the lungs and nasal turbinates, establishment of an IgM and IgG antibody response, and modulation of lung and nasal turbinate cytokine profiles. There were insignificant differences in infection characteristics between age groups and sex-related differences; however, there were significant strain-related differences between BALB/c vs. C57BL/6 mice. We show that AAV-hACE2-transduced mice are a useful for determining immune responses and for potential evaluation of SARS-CoV-2 vaccines and antiviral therapies, and this study serves as a model for the utility of this approach to rapidly develop small-animal models for emerging viruses.
Photodarkening-induced power degradation of single-mode Yb3+-doped fiber laser

Laser performance of Yb3+-doped silica fiber laser at 980 nm and 1064 nm was investigated theoretically and experimentally. Significantly degraded laser output power at 980 nm was analyzed with photodarkening characterization of the Yb3+-doped silica fiber when lasing at 980 nm and 1064 nm, which shows that the Yb3+-doped fiber laser power difference between simulation and experiment is proportional to the level of photodarkening related to population inversion.
Studies of the radiative properties of ice and mixed-phase clouds

Radiative parametrizations for both ice and water clouds are developed in terms of liquid/ice water content, based on Mie scattering theory. For ice crystals the application of Mie theory is guided by the hexagonal-crystal/equivalent-spheres comparison of Takano and Liou. These parametrizations are extensively tested against measurements from aircraft and are shown to perform satisfactorily, although corrections for unobserved small crystals and the effect of crystal shape are large and not currently well defined. The parametrizations are then used to investigate the effect of mixed-phase clouds on radiative transfer. It is found that, because the radiative properties of ice crystals and liquid droplets are significantly different, the radiative properties of mixed-phase clouds cannot be simulated successfully if the ice in clouds is converted into liquid water. Both the albedo and the rate of change of albedo with ice fraction are significantly dependent on the method by which the phases are mixed; these factors may be of especial importance in climate-sensitivity experiments that incorporate mixed-phase clouds. The presence of ice in clouds below the cirrus level is often ignored in climate-model and radiation-budget studies. The calculations presented here indicate that this neglect may lead to a serious bias in cloud albedo for a given path of condensed water.
Effective temperatures of late-type stars : the field giants from K0 to M6.

Angular diameters from lunar occultation are combined with infrared photometry to determine effective temperatures, T/sub eff/, for K0--M6 giants. The relation between T/sub eff/ and color temperature, MK spectral type, V--K color, and I (104) --L color are derived. The principal result is a general increase in T/sub eff/ for the cooler spectral types compared to previous calibrations. Throughout the temperature range studied, we obtain excellent agreement with recent model atmosphere computations.
Wheat Crop under Waterlogging: Potential Soil and Plant Effects

Inundation, excessive precipitation, or inadequate field drainage can cause waterlogging of cultivated land. It is anticipated that climate change will increase the frequency, intensity, and unpredictability of flooding events. This stress affects 10–15 million hectares of wheat every year, resulting in 20–50% yield losses. Since this crop greatly sustains a population’s food demands, providing ca. 20% of the world’s energy and protein diets requirements, it is crucial to understand changes in soil and plant physiology under excess water conditions. Variations in redox potential, pH, nutrient availability, and electrical conductivity of waterlogged soil will be addressed, as well as their impacts in major plant responses, such as root system and plant development. Waterlogging effects at the leaf level will also be addressed, with a particular focus on gas exchanges, photosynthetic pigments, soluble sugars, membrane integrity, lipids, and oxidative stress.
Neonatal kaempferol exposure attenuates impact of cerebral palsy model on neuromotor development, cell proliferation, microglia activation, and antioxidant enzyme expression in the hippocampus of rats

ABSTRACT Objectives This study aims to assess the effect of neonatal treatment with kaempferol on neuromotor development, proliferation of neural precursor cells, the microglia profile, and antioxidant enzyme gene expression in the hippocampus. Methods A rat model of cerebral palsy was established using perinatal anoxia and sensorimotor restriction of hindlimbs during infancy. Kaempferol (1 mg/ kg) was intraperitoneally administered during the neonatal period. Results Neonatal treatment with kaempferol reduces the impact of the cerebral palsy model on reflex ontogeny and on the maturation of physical features. Impairment of locomotor activity development and motor coordination was found to be attenuated by kaempferol treatment during the neonatal period in rats exposed to cerebral palsy. Neonatal treatment of kaempferol in cerebral palsy rats prevents a substantial reduction in the number of neural precursor cells in the dentate gyrus of the hippocampus, an activated microglia profile, and increased proliferation of microglia in the sub-granular zone and in the granular cell layer. Neonatal treatment with kaempferol increases gene expression of superoxide dismutase and catalase in the hippocampus of rats submitted to the cerebral palsy model. Discussion Kaempferol attenuates the impact of cerebral palsy on neuromotor behavior development, preventing altered hippocampal microglia activation and mitigating impaired cell proliferation in a neurogenic niche in these rats. Neonatal treatment with kaempferol also increases antioxidant defense gene expression in the hippocampus of rats submitted to the cerebral palsy model. GRAPHICAL ABSTRACT
Ransomware prevention using moving target defense based approach

Over the past decade, there has been a rapidly rising trend of malware (ransomware) that limits user access by encrypting the data and demanding the ransom against the decryption key. In most cases, such encryption may lead to a permanent data loss. In order to prevent this unwanted encryption, we propose a method based on Moving Target Defense (MTD) approach. Our method is based on the alteration of the attack surface to reduce the attack success ratio. We have used multiple layers of MTD. The first layer generates random extensions that hide the existing known file extensions. This will protect user files against those ransomware variants which encrypt files having some specific extensions. Our second layer of protection uses event‐based MTD in which tasks are scheduled to change file extensions at the occurrence of specific events which mostly occur due to the execution of ransomware in the system. As a result of our proposed method, we have successfully protected user files against well‐known ransomware variants such as WannaCry, Cerber, Locky, Tesla, Revil, Bitlocker, Darkside, Ranzy.
Impact of long-term manuring and cropping system on stability of humus associated with clay-organic complex

ABSTRACT The objective was to study the impact of ten year’s manuring and fertilization on chemical stability of clay-organic complex (COC) in rice−potato−wheat (R–P–W) and maize−potato−onion (M–P–O) cropping systems. Soil samples were collected from the control, 100% NPK–Fertilizer, 100% N–Vermicompost (VC), 50% NPK–Fertilizer + 50% N–VC, 100% NPK–Fertilizer + crop residue (CR), 100% N–VC + CR. The stability (1/k) of humus C i.e. inverse of humus desorption rate constant (k) in hours (h), in COC was higher in 100% N–VC an1d 00% N–VC + CR in both the cropping systems. The C:N ratio of humic acid (HA) was also higher in the treatments receiving full organics (100% N–VC and 100% N–VC + CR) and showed positive correlation (p < 0.05) with the humus C stability in COC. Long-term manuring treatments created C = N and C–O stretching of aromatic ether in HA extracted from 100% NPK–VC and other selected treatments in both the cropping systems. 100% N–VC and 100%N–VC + CR produced higher stability of humus-C in Inceptisol. The R–P–W imparted higher stability of humus C than M–P–O cropping system.
Optimal control of radiative heat transfer in glass cooling with restrictions on the temperature gradient

This paper is motivated by an optimal boundary control problem for the cooling process of molten and already formed glass down to room temperature. The high temperatures at which glass is processed demand to include radiative heat transfer in the computational model. Since the complete radiative heat transfer equations are too complex for optimization purposes, we use simplified approximations of spherical harmonics coupled with a practically relevant frequency bands model. The optimal control problem is considered as a partial differential algebraic equation (PDAE)‐constrained optimization problem with box constraints on the control. In this paper, we augment the objective by a functional depending on the state gradient, which forces a minimization of thermal stress inside the glass. To guarantee consistent and grid‐independent values of the reduced objective gradient at the end of the cooling process, we pursue two approaches. The first includes the temperature gradient with a time‐dependent linearly decreasing weight. In the second approach, we augment the objective functional by the final state tracking and final state gradient optimization. To determine an optimal boundary control, we apply a projected gradient method with the Armijo step size rule. The reduced objective gradient is computed by the continuous adjoint approach. The arising time‐dependent PDAEs are numerically solved by variable step size one‐step methods of Rosenbrock type in time and adaptive multilevel finite elements in space. We present two‐dimensional numerical results for an infinitely long glass block and compare the two different approaches derived to ensure consistency at the end of the cooling process. Copyright © 2011 John Wiley & Sons, Ltd.
The Use of Green Laser in LiDAR Bathymetry: State of the Art and Recent Advancements

Bathymetric LiDAR technology is a technology used for simultaneous data acquisition regarding the morphology of the bottom of water reservoirs and the surrounding coastal zone, realized from the air, e.g., by plane or drone. Contrary to the air topographic LiDAR, which uses an infrared wavelength of 1064 nm, bathymetric LiDAR systems additionally use a green wavelength of 532 nm. The green laser can penetrate the water, which makes it possible to measure the depth of shallow water reservoirs, rivers, and coastal sea waters within three Secchi depths. This article presents the theoretical basis for the construction of a green laser. Against the background of other methods of measuring the bottom of water reservoirs, the technology using waves from the visible light range is presented in detail in the assessment of the bottom morphology of shallow water reservoirs. The possibilities of using green laser in lidar bathymetry implemented in particular in non-navigable regions are shown. The results of the researchers’ work on river processes (erosion, sedimentation), design of stream restoration, determination of morphometric parameters of the riverbed, as well as assessment of the topography of the marine coastal bottom zones are summarized. The development direction of lidar bathymetry is discussed.
Modeling of the subfilter scalar dissipation rate using the concept of optimal estimators

In this work, modeling of the subfilter scalar dissipation rate is addressed. First, the best set of quantities to write a model is determined using the concept of optimal estimators. This study shows that the best approach is to assume a proportionality between the turbulent time scale and turbulent scalar mixing time scale. It is shown that the turbulent time scale should be defined by the subfilter kinetic energy. To define the coefficient appearing in this model, a dynamic determination based on a global subfilter equilibrium assumption between the dissipation and the production terms leads to the best results.
Smoothing ‘smooth’ numbers

An integer is called y-smooth if all of its prime factors are ⩽ y. An important problem is to show that the y-smooth integers up to x are equi-distributed among short intervals. In particular, for many applications we would like to know that if y is an arbitrarily small, fixed power of x then all intervals of length x up to x, contain, asymptotically, the same number of y-smooth integers. We come close to this objective by proving that such y-smooth integers are so equi-distributed in intervals of length xy2+ε, for any fixed ε < 0.