Miracle-dz/UniFAR-FTUs huggingface dataset:
Prognostic value of systemic inflammatory markers and the nutrition status in thymic epithelial tumors with complete resection

Recent studies have shown that several systemic inflammatory markers and the nutrition status, including the neutrophil‐to‐lymphocyte ratio (NLR), monocyte‐to‐lymphocyte ratio (MLR), platelet‐to‐lymphocyte ratio (PLR), and prognostic nutritional index (PNI), are useful prognostic factors in several malignant tumors. The present study explored the prognostic value of the NLR, MLR, PLR, and PNI in thymic epithelial tumor (TET) patients who underwent complete resection.
Evaluation of treatment of intra-bony defects with a mixture of ?-tricalcium phosphate - hydroxyapatite granules and oily calcium hydroxide suspension

An oily calcium hydroxide formulation proved over the last years to be highly efficient in promoting bone regeneration in closed defects as periapical lesions, cysts, or post-extracti on defects. The aim of the present study is the assessment of the outcome of treatment of deep intrabony periodontal defects with an Open Flap Debridement) (OFD) + combination of {(30% Hydroxyapatite HAp + 70% β-Tricalcium Phosphate granules mixed with an Oily Calcium Hydroxide Suspension (OCHS )} and compare the results with {(OFD) alone)}. The combination of OCHS& TCP was used in humans with a sort of positive results, and more conduction of studies was recommended. Material and method: The sample of this study composed of sixteen patients; each had at least two intrabony defect teeth. For each patient, one tooth was treated by OFD only (control group 16 teeth) and the other teeth (study group 16 teeth) were treated with OFD + a mixture of (OSTEON II- Korea) granules comprise of (30% Hydroxyapatite HAp + 70% β-Tricalcium Phosphate) and OCHS (Osteoinductal®, Osteoinductal GmbH., Muenchen, Germany). The clinical parameters that were measured and recorded included (Plaque index PLI, Gingival index (GI), Gingival recession(GR) , Bleeding on probing (BOP), probing pocket depth (PPD), clinical attachment level (CAL) and radiographical width & depth of the bony defect. These parameters were recorded before treatment (base line) & six months after the treatment. Results: The results after treatment revealed a highly significant reduction in all of the parameters except the PLI in both study & control groups compared to baseline (p < 0.001). The clinical results were indicated that the study group showed significant reductions of PPD and CAL mean values more than improvements obtained by the control group with significant difference (p < 0.05). Conclusions: An excellent postoperative improvement in clinical parameters was noticed in the study group more than control group and the differences were significant. Thus the present study has revealed that the treatment modality of OFD + a combination of granules comprise of (30% Hydroxyapatite HAp + 70% β-Tricalcium Phosphate) mixed with oily Calcium Hydroxide suspension is successful, predictable and more beneficial than (open flap debridement) (OFD) alone in the treatment of deep intrabony periodontal defects.
An insight into thermal and vibration cyclic energy harvesting using ferroelectric ceramics

This article reviews the basics of ferroelectric energy harvesting cycles based on thermal fluctuation and mechanical confinement. In this context, five cycles (Olsen cycle, Clamped Olsen cycle, Electro-Mechanical cycle, Thermally Biased Electro-Mechanical cycle and New Power cycle) are studied for two different compositions (0.94Bi1/2Na1/2TiO3–0.06BaTiO3: BNT–6BT; 0.91(Bi1/2Na1/2)TiO3–0.07BaTiO3–0.02K0. 5Na0.5NbO3: BNT-BT-KNN;) which represents two distinct classes (based on domain wall rotation/motion) of ferroelectric materials. These can be classified as the composition with dominating impact of mechanical forces while the other is with ascendant thermal effects over the domain wall behavior.
Chromatic Conductive Polymer Nanocomposites of Poly (p-Phenylene Ethynylene)s and Single-Walled Carbon Nanotubes

We report on dispersions and thin films of chromatic conductive nanocomposites of poly(p-phenylene ethynylene)s (PPEs) and single-walled carbon nanotubes (SWNTs) generated via solution mixing. The linear, conjugated PPEs with dialkyl- and dialkyloxy-side chain groups are shown to debundle and disperse high concentration (up to 2.5 mg/mL) SWNTs in various organic solvents. The solubilization of SWNTs and PPE wrapping is accompanied with the change in the solution color. Ultraviolet visible absorption spectra of nanocomposite solutions demonstrate a new absorption peak at a higher wavelength, supporting the observed chromatism. Fluorescence spectra of nanocomposite solutions display significant quenching of the fluorescence intensity and the Stern–Volmer model is used to analyze fluorescence quenching. Electron microscopy of the chromatic solid films of high mass fraction PPE/SWNT nanocomposites obtained by vacuum filtration reveals the debundled SWNTs in the PPE matrix. The tensile strength and Young’s modulus of these PPE/SWNT nanocomposite films are as high as 150 MPa and 15 GPa, respectively. The composite films exhibit remarkably high conductivities, ranging from ~1000 S/m to ~10,000 S/m for 10 wt% and 60 wt% SWNT nanocomposites, respectively.
What Hinders Victims from Reporting Sexual Violence: A Qualitative Study with Police Officers, Prosecutors, and Judges in Hungary

While rape historically remains underreported all over the globe, and criminal justice factors contribute to this problem, we investigate unique circumstances that might influence reporting inclinations by Hungarian victims of sexual violence. Among other possible factors, victim-blaming, institutional desensitization, and a lack of trust in the criminal justice system and in the community are discussed. The in-depth interviews (n = 22) with law enforcement and criminal justice professionals conducted in 2018 in Hungary reveal roots of underreporting in the complexities of the criminal justice system: there is a failure to prioritize victims’ needs—mental care services, physical and privacy protection—and a focus instead on solely providing legal justice. The further deficits that can be found among professionals’ attitudes and behaviors in the courtroom are products of the following: a lack of standardized protocols in addressing the needs of victims; a dearth of technical and evidence-based knowledge and training; a lack of supervision and trauma-informed services to practitioners; high caseloads; a focus on the goal of high conviction rates; not providing open communication toward victims; and a shortage of standardized protocols in dealing
Modelling and Cost Estimation for Conversion of Green Methanol to Renewable Liquid Transport Fuels via Olefin Oligomerisation

The ambitious CO2 emission reduction targets for the transport sector set in the Paris Climate Agreement require low-carbon energy solutions that can be commissioned rapidly. The production of gasoline, kerosene, and diesel from renewable methanol using methanol-to-olefins (MTO) and Mobil’s Olefins to Gasoline and Distillate (MOGD) syntheses was investigated in this study via process simulation and economic analysis. The current work presents a process simulation model comprising liquid fuel production and heat integration. According to the economic analysis, the total cost of production was found to be 3409 €/tfuels (273 €/MWhLHV), corresponding to a renewable methanol price of 963 €/t (174 €/MWhLHV). The calculated fuel price is considerably higher than the current cost of fossil fuels and biofuel blending components. The price of renewable methanol, which is largely dictated by the cost of electrolytic hydrogen and renewable electricity, was found to be the most significant factor affecting the profitability of the MTO-MOGD plant. To reduce the price of renewable fuels and make them economically viable, it is recommended that the EU’s sustainable transport policies are enacted to allow flexible and practical solutions to reduce transport-related emissions within the member states.
Learning to Work While Homebound – The Effects of Remote Work on Job Performance during the Covid-19 Pandemic

The lockdown measures and population movement restrictions as a consequence of the Covid-19 pandemic as well forced the companies to implement the “Working from Home (WFH)” modality, this situation created an involuntary expansion that has incorporated different functions that cannot be correctly performed in a remote way. WFH characteristic have changed as a consequence of movement restrictions, the incorporation of administrative functions and the work schedule inflexibility, creating this way the rising job category “Working Homebound with Reduced Flexibility” (THC, from its name in Spanish). This is the main reason why we have questioned its effect over the labor productivity and performance. The realized inquiries point out a learning process that has been stablished and does not decline the labor performance. Nevertheless, the TCH side effects on leadership, communication and organizational culture show ambiguous results, depending on the organization base conditions and the place where TCH is done. We are looking forward to creating a discussion over TCH, pointing out the motivation and commitment risks due to the impossibility to decide where, how and when to work, adding the management focus based on duties that decrease the motivation, creativity, and performance in long terms.
A decision-making method for assembly sequence planning with dynamic resources

With the advent of mass customisation, solving the assembly sequence planning (ASP) problem not only involves a non-convex optimisation problem that is hard to solve but also requires a high-speed response to the changes of assembly resources. This paper proposes a deep reinforcement learning (DRL) approach for the ASP problem, aiming at promoting the response speed by exploiting the reusability and expandability of past decision-making experiences. First, the connector-based ASP problem is described in a matrix manner, and its objective function is set to minimise assembly cost under the precedence constraints. Secondly, an instance generation algorithm is developed for policy training, and a mask algorithm is adopted to screen out impracticable assembly operations in each decision-making step. Then, the Monte Carlo sampling method is used to evaluate the ASP policy. The policy is learned from an actor–criticbased DRL algorithm, which contains two networks, policy network and evaluation network. Next, the network structures are introduced and they are trained by a mini-batch algorithm. Finally, four cases are studied to validate this method, and the results are discussed. It is demonstrated that the proposed method can solve the ASP problem accurately and efficiently in the environment with dynamic resource changes.
Neither timeless, nor placeless: Control of food delivery gig work via place-based working time regimes

Working time regimes in platform labour are so far either ignored as a topic in research on gig work, or they are framed as an allocative instrument only. This article argues that working time regimes instead have both a coordinating and controlling effect. Adopting the analytical framework of labour process theory, the article hence focuses on the interrelation of working time and control regimes. The empirical material presented stems from research on platform-based food courier work in Germany and is based on a mixed methods research design consisting of interviews, multi-sited ethnography and a survey. The findings show that platforms implement hybrid control regimes that are not only based on the sufficiently analysed algorithmic management, but also on complementary control through working time regimes: temporal control. Platforms organise intra-platform markets where workers compete for shifts by means of performance. Thus, platforms are able to ensure an efficient and simultaneously reliable use of an autonomous and spatially distributed workforce. Furthermore, it is shown that platform labour is not placeless, either. The effects of its control regime vary according to different local conditions. As a result, platforms cannot be analysed only as techno-cultural ecosystems, but also as local-specific socio-economic structures.
Microdosing psychedelics and its effect on creativity: Lessons learned from three double-blind placebo controlled longitudinal trials

Introduction: Microdosing refers to the repetitive administration of tiny doses of psychedelics (LSD, Psilocybin) over an extended period of time. This practice has been linked to alleged cognitive benefits, such as improved mood and creativity, potentiated by targeting serotonergic 5-HT2A receptors and facilitating cognitive flexibility. Nonetheless, in the absence of robust, quantitative and double-blind research on the effect of microdosing, such claims remain anecdotal.Methods: Here, our main aim was to quantitatively explore the effect of microdosing psychedelic truffles on two creativity tasks assumed to rely on separable processes: the Picture Concept Task assessing convergent thinking and the Alternative Uses Task assessing divergent thinking. We present results from 3 double-blind placebo-controlled longitudinal trials (of which one was pre-registered) conducted in a semi-naturalistic setting. Furthermore, we controlled for expectation and learning biases, and the data were mega-analyzed across trials with a pooled sample of 175 participants in order to maximize statistical power.Results: In the final analyses we found that active microdosing increased the ratio of original responses (originality/fluency), indicating higher quality of divergent answers in the active microdosing condition. The unadjusted originality score was significantly more pronounced in the active microdosing condition, but only when relative dosage (dose/weight of participants) was considered. These effects were present after controlling for expectation and demographic biases. No effects of active microdosing were found for convergent thinking or any other divergent-thinking score. The results suggest that the effects of truffle mirodosing are limited to divergent quality and are more subtle than initially anticipated. Our findings furthermore highlighted the importance of controlling for expectation biases, placebo effects, and prior psychedelic experience in microdosing practice and research.
Metrics for Measuring Sustainable Product Design Concepts

Although products can contribute to ecosystems positively, they can cause negative environmental impacts throughout their life cycles, from obtaining raw material, production, and use, to end of life. It is reported that most negative environmental impacts are decided at early design phases, which suggests that the determination of product sustainability should be considered as early as possible, such as during the conceptual design stage, when it is still possible to modify the design concept. However, most of the existing concept evaluation methods or tools are focused on assessing the feasibility or creativity of the concepts generated, lacking the measurements of sustainability of concepts. The paper explores key factors related to sustainable design with regard to environmental impacts, and describes a set of objective measures of sustainable product design concept evaluation, namely, material, production, use, and end of life. The rationales of the four metrics are discussed, with corresponding measurements. A case study is conducted to demonstrate the use and effectiveness of the metrics for evaluating product design concepts. The paper is the first study to explore the measurement of product design sustainability focusing on the conceptual design stage. It can be used as a guideline to measure the level of sustainability of product design concepts to support designers in developing sustainable products. Most significantly, it urges the considerations of sustainability design aspects at early design phases, and also provides a new research direction in concept evaluation regarding sustainability.
The middle atmospheric meridional circulation for 2002–2012 derived from MIPAS observations

Abstract. Measurements of long-lived trace gases (SF 6 , CFC-11, CFC-12, HCFC-22, CCl 4 , N 2 O, CH 4 , H 2 O, and CO) performed with the Michelson Interferometer for Passive Atmospheric Sounding (MIPAS) have been used to infer the stratospheric and mesospheric meridional circulation. The MIPAS data set covers the time period from July 2002 to April 2012. The method used for this purpose was the direct inversion of the two-dimensional continuity equation for the concentrations of trace gases and air density. This inversion predicts an “effective velocity” that gives the best fit for the evolution of the concentrations on the assumption that an explicit treatment of Fickian diffusion can be neglected. These effective velocity fields are used to characterize the mean meridional circulation. Multiannual monthly mean effective velocity fields are presented, along with their variabilities. According to this measure, the stratospheric circulation is found to be highly variable over the year, with a quite robust annual cycle. The new method allows us to track the evolution of various circulation patterns over the year in more detail than before. According to the effective velocity characterization of the circulation, the deep branch of the Brewer–Dobson circulation and the mesospheric overturning pole-to-pole circulation are not separate but intertwined phenomena. The latitude of stratospheric uplift in the middle and upper stratosphere is found to be quite variable and is not always found at equatorial latitudes. The usual schematic of stratospheric circulation with the deep and the shallow branch of the Brewer–Dobson circulation and the mesospheric overturning circulation is an idealization which best describes the observed atmosphere around equinox. Sudden stratospheric warmings and the quasi-biennial oscillation cause a pronounced year-to-year variability of the meridional circulation.
Genesis of severe cyclonic storm Mora in the presence of tropical waves over the North Indian Ocean

Tropical cyclone (TC) genesis is still a crucial mysterious problem in tropical meteorology. Over the North Indian Ocean (NIO), TC Mora genesis commenced as a depression on May 28, 2017. Kalpana‐IR satellite images indicate a disturbance that developed as a depression within Intertropical Convergence Zone (ITCZ). Tropical Rainfall Measuring Mission (TRMM) rainfall shows the organization of convection that started with clustering of clouds on May 24; thereafter, cloud patches remained intact and became a depression on May 28. During the pre‐genesis period (May 20–28), the Madden–Julian oscillation (MJO) was in phase 2 with amplitude greater than 1 and equatorial Rossby (ER) wave was also active over the Indian Basin. These waves facilitated intense convection through the supply of mid‐level moisture and low‐level vorticity required for the genesis. The presence of ER wave resulted in the formation of circulation at 850 hPa over the equatorial region. From May 22 to 23, the existence of a quasiclosed circulation (QCC) region within ER wave indicates a continuous buildup of moisture and vorticity, separating the region of moist and dry air. Later, the QCC became self‐sustained and evolved into a depression on May 28. The streamline overturning point is the inflection point (IP), and the approximate circulation center is the stagnant point (SP). The coexistence of IP and SP along with the minimum stream function and maximum column integrated total precipitable water (TPW) confirms the potential area of genesis. This criterion is applied to track the seeding of vorticity as the preferred genesis location, 5 days before genesis. These locations match well with the best track data locations provided by the India Meteorological Department after May 28. Processes within the QCC are also studied following the QCC during the formation of the depression.
Interparticle forces in Nanoparticle Agglomerates

Due to the high surface energy of nanoparticles there tendency to form agglomerates is quite strong. Upon contact the primary particles of an agglomerate form bonds which can be of different nature. Sintering and monomer adsorption from the surrounding atmosphere can lead to solid state necks. Chemical bonds between the particle surfaces may also form and magnetic dipole forces can potentially contribute to the interparticulate forces. As a baseline of bond energy van der Waals forces are always present. The strength of these interparticle bonds determines to a large part their physical properties and applicability in materials synthesis. On one hand, there are nanomaterials that have to be applied in single particle form, e. g. in electronics, optics and optoelectronics applications. In these cases the energy needed for particle deagglomeration is an important parameter. In filled polymers however, the elasticity of nanoparticle chain aggregates seems to contribute to the mechanical properties of the composite material, thus the strength of the interparticle forces is of importance in a positive way (Bandyopadhyaya et al., 2004). To determine the bond energies of primary particles within agglomerates the method of impact fragmentation was adapted to the nanoscale (Seipenbusch et al., 2002). Defragmentation patterns of agglomerates impacted in a single stage low pressure impactor where analysed in the transmission electron microscope (TEM). A variety of materials was tested, ranging from metal particles and oxides to polymer particles. Particle size effects were analyzed for the separate materials, revealing the different origins of the interparticle bonds. For some materials near van der Waals behaviour was found. For Nickel the onset of additional magnetic forces were observed for larger particle sizes, when the superparamagnetic behaviour of particles smaller than ~12 nm transforms into permanent magnetic dipoles. Another strong effect on the magnitude of agglomerate strength seems to be surface purity, which is qualitatively determined from aerosol photoemission spectroscopic analysis. Chemical surface adducts like hydroxyl groups can form chemical bonds between the primary particles, e. g. by way of a condensation reaction. Therefore the bond energy can be manipulated by influencing the density of these groups on particle surfaces prior to agglomeration. Using photochemical reactions on aerosol polymer nanoparticles generated from a polystyrene /CCl4solution particles this manipulation was carried out in both directions of the bond energy scale, as shown in Fig. 1. The alteration of the surface groups and the corresponding change in bond energy was correlated to the dose of irradiation.