Miracle-dz/UniFAR-FTUs huggingface dataset:
Fat grafting for the treatment of radiodermatitis after treatment of head and neck cancer

1 Federal University of São Paulo, Discipline of Plastic Surgery, São Paulo, SP, Brazil. Introduction: Although treatment of head and neck cancer has evolved in recent years, it is still a challenge to preserve and restore facial symmetry afterward; this fact significantly compromises the quality of life of patients. In reconstructive surgery, autologous fat grafting has been used to treat volume and contour defects. The objective is to review the effects of fat grafting in patients with radiodermatitis due to head and neck cancer radiotherapy treatment. Methods: Literature review in PubMed and SciELO databases, looking for studies published in the last 20 years in Portuguese, English, or Spanish. The descriptors “adipose tissue”, “transplantation”, “neoplasms”, “head and neck neoplasms” and “radiotherapy” and the non-descriptive terms “fat grafting”, “fat transplantation” and “fat graft” were used. Results: Of 212 articles found, only seven complied with the eligibility criteria. Conclusion: The review suggests that fat grafting in head and neck cancer reconstruction is a safe treatment and optimizes aesthetic and functional results. Prospective studies are lacking for a better definition of techniques and results. ■ ABSTRACT
Exploring the role of geospatial technology in disaster management of Batu City: Qualitative analysis using RQDA method

Disaster management is important to reduce the risk casualties as well as the environment and economic impacts. One of the stakeholders in disaster management in Indonesia at the local level is the Regional Disaster Management Agency (Badan Pengelolaan Bencana Daerah – BPBD). In the process of disaster management, there are several phases. Thi initial phase is known as the prevention phase, which is an attempt to eliminate or reduce the possibility of a threat. In this phase, the role of information technology is important to increase the efficiency in disaster management. One of the information technologies that is used widely in disaster management is the Geographic Information System (GIS). This study explores the role of GIS technology employed at BPBD of Batu City in disaster management. The Research Qualitative Data Analysis (RQDA) method is employed based on the questionnaire data. The results show that the role of GIS technology is very limited. The disaster management at the Batu City is mostly done by the traditional method with the manual approach. The role of technology is limited it needs to be improved. Suggestions for increasing the role of technology is to conduct training on the use of GIS for employees. It is expected to increase the role of technology in disaster management. Keyword : BPBD, disaster, analysis results
Erratum: Upcyclingphosphorus recovered from anaerobically digesteddairy manure to support production of vegetables and flowers (Sustainability 2020, 12, 1139)

Background: There is an urgent need to assess the linkages between diet patterns and environmental sustainability in order to meet global targets for reducing premature mortality and improving sustainable management of natural resources. This study fills an important research gap by evaluating the relationship between incremental differences in diet quality and multiple environmental burdens, while also accounting for the separate contributions of retail losses, inedible portions, and consumer waste. Methods: Cross sectional, nationally-representative data on food intake in the United States were acquired from the National Health and Nutrition Examination Survey (2005–2016), and were linked with nationally-representative data on food loss and waste from published literature. Survey-weighted procedures estimated daily per capita food retail loss, food waste, inedible portions, and consumed food, and were summed to represent Total Food Demand. Diet quality was measured using the Healthy Eating Index-2015 and the Alternative Healthy Eating Index-2010. Data on food intake, loss, and waste were inputted into the US Foodprint Model to estimate the amount of agricultural land, fertilizer nutrients, pesticides, and irrigation water used to produce food. Results: This study included dietary data from 50,014 individuals aged ≥2 y. Higher diet quality (HEI-2015 and AHEI2010) was associated with greater per capita Total Food Demand, as well as greater retail loss, inedible portions, consumer waste, and consumed food (P < 0.001 for all comparisons). Consumed food accounted for 56–74% of agricultural resource use (land, fertilizer nutrients, pesticides, and irrigation water), retail loss accounted for 4–6%, inedible portions accounted for 2–15%, and consumer waste accounted for 20–23%. Higher diet quality was associated with lower use of agricultural land, but the relationship to other agricultural resources was dependent on the tool used to measure diet quality (HEI-2015 vs. AHEI-2010). Conclusions: Over one-quarter of the agricultural inputs used to produce Total Food Demand were attributable to edible food that was not consumed. Importantly, this study also demonstrates that the relationship between diet quality and environmental sustainability depends on how diet quality is measured. These findings have implications for the development of sustainable dietary guidelines, which requires balancing population-level nutritional needs with the environmental impacts of food choices.
Panel Attrition in NEPS Starting Cohort 6

In this paper, we describe panel attrition processes of the National Educational Panel Study Starting Cohort 6 (NEPS-SC6) to provide a comprehensive and easily accessible overview of changes in realized sample size and composition with respect to key variables from wave 2 to wave 7, based on the scientific-use file 7.0. 0. First, we describe changes in the size and composition of the NEPS-SC6 subsamples over time with respect to the key variables of the NEPS adult survey: educational attainment, reading competence, employment status, income, migration background, employment status and socio-economic status. Second, we estimate multinomial logit models predicting the probability of interview participation, refusal, and non-contact in follow-up waves after the first interview for the different NEPS-SC6 subsamples. Here, we control for the NEPS core variables as well as for other respondent characteristics, respondents’ previous interview experiences and interviewer characteristics. Both aspects – the detailed description of the realized subsamples by subgroups with respect to the key variables and the differentiation of nonresponse by refusals and non-contacts – complement the official weighting report of the NEPS-SC6 scientific use files by Hammon, Zinn, Aßmann and Würbach (2016) who focus on the documentation of sample sizes and on the calculation of weights predicting response and nonresponse.
Quality of life of women living with metastatic breast cancer and receiving palliative care: A syste

Quality of life of women living with metastatic breast cancer and receiving palliative care: A systematic review Sigrunn Drageset, Gunhild Austrheim & Sidsel Ellingsen To cite this article: Sigrunn Drageset, Gunhild Austrheim & Sidsel Ellingsen (2021): Quality of life of women living with metastatic breast cancer and receiving palliative care: A systematic review, Health Care for Women International, DOI: 10.1080/07399332.2021. 1876063 To link to this article: https://doi.org/10.1080/07399332.2021. 1876063
Effect of Bacteriophage and Sub-inhibitory concentration of Imipenemon Biofilm Production by Pseudomonas aeruginosa on Endotracheal tubing-An in-vitro model system

Aim: To studybiofilm production by Pseudomonas aeruginosaon endotracheal tubing in the presence of bacteriophage and sub-inhibitory concentration of imipenem.Methods and Results: A total of 20 clinical isolates of P.aeruginosa obtained from endotracheal samples were taken for this study. Bacteriophages were obtained from sewage samples from sewage water treatment plant. Biofilm assay was performed by modified O’Toole and Kolter method wherein a piece of sterile 0.5cm 2 ETTwas incorporated into the microtitre plate wells. Student’s unpaired t test, Kruskal Wallis, ANOVA and HSD Tukey’s test were used to analyse data with SPSS 17.0 European Journal of Molecular & Clinical Medicine ISSN 2515-8260 Volume 08, Issue 02, 2021 1999 software. P value of ˂0.05 was considered statistically significant.Of the 20 isolates, only four (20%) of the isolates were resistant to imipenem. In the presence of bacteriophage, the biofilm production was very less in comparison to biofilm production in the presence of sub-inhibitory concentration of imipenem or in plain broth (p = 0.004). Conclusions: Bacteriophages effectively reduced the biofilm production by P. aeruginosa on catheter tip. Significance and Impact:The present study demonstrates the effectiveness of using bacteriophage as a biofilm reducing agent. Further studies are required to prove the use of bacteriophage coated ETT to curb hospital acquired infections.
Incompressible flow simulation on vortex segment clouds

We propose a novel Lagrangian geometric representation using segment clouds to simulate incompressible fluid exhibiting strong anisotropic vortical features. The central component of our approach is a cloud of discrete segments enhanced by a set of local segment reseeding operations to facilitate both the geometrical evolution and the topological updates of vortical flow. We build a vortex dynamics solver with the support for dynamic solid boundaries based on discrete segment primitives. We demonstrate the efficacy of our approach by simulating a broad range of challenging flow phenomena, such as reconnection of non-closed vortex tubes and vortex shedding behind a rotating object.
Degradation of di-2-ethylhexyl phthalate in aqueous solution by advanced oxidation process

Aims: This study was conducted to compare the effectiveness of conventional technologies, UV irradiation and ozonation process, and UV/O3 as advanced oxidation processes to remove phthalate from aqueous solutions. Materials and Methods: The initial concentration of di-2-ethylhexyl phthalate (DEHP) was 5 mg/L. The photolysis, ozonation, and UV/O3 processes were conducted separately at different contact times (5-30 min). Then, the DEHP residuals in the solutions were analyzed by gas chromatography mass spectrometry. The effect of ozone dosage was also evaluated in the range of 50-400 mg/h on DEHP degradation. Kinetic and the rate constants were determined. Results: The results indicated that using UV and ozonation alone, the maximum DEHP removal efficiency were 43% and 50%, respectively. The UV/O3 process considerably improved the degradation of DEHP up to 80%. The synergistic effect observed in the combined processes mainly due to the effects of UV in enhancing the ozone decomposition, led to higher degradation for 30 min treatment. A kinetic study showed the degradation in UV/O3 followed the first-order model. In addition, the maximum DEHP removal rate was 74% with 200 mg/h ozone dosage by ozonation alone process, but it was 93% at same condition by UV/O3 process. Conclusion: It could be found that the UV/O3 process is a method for DEHP degradation in aqueous solution and may be recommended as a supplement with other processes for treatment of solutions containing low DEHP concentrations.
The bohmion method in nonadiabatic quantum hydrodynamics

Starting with the exact factorization of the molecular wavefunction, this paper presents the results from the numerical implementation in nonadiabatic molecular dynamics of the recently proposed bohmion method. Within the context of quantum hydrodynamics, we introduce a regularized nuclear Bohm potential admitting solutions comprising a train of δ-functions which provide a finite-dimensional sampling of the hydrodynamic flow paths. The bohmion method inherits all the basic conservation laws from its underlying variational structure and captures electronic decoherence. After reviewing the general theory, the method is applied to the well-known Tully models, which are used here as benchmark problems. In the present case of study, we show that the new method accurately reproduces both electronic decoherence and nuclear population dynamics.
A Study of Neural Training with Iterative Non-Gradient Methods

In this work we demonstrate provable guarantees on the training of depth-2 neural networks in new regimes than previously explored. (1) First we give a simple stochastic algorithm that can train a ReLU gate in the realizable setting in linear time while using signiﬁcantly milder conditions on the data distribution than previous results. Leveraging some additional distributional assumptions we also show approximate recovery of the true label generating parameters when training a ReLU gate while a probabilistic adversary is allowed to corrupt the true labels of the training data. Our guarantee on recovering the true weight degrades gracefully with increasing probability of attack and its nearly optimal in the worst case. Additionally our analysis allows for mini-batching and computes how the convergence time scales with the mini-batch size. (2) Secondly, we focus on the question of provable interpolation of arbitrary data by ﬁnitely large neural nets. We exhibit a non-gradient iterative algorithm “Neuro-Tron” which gives a ﬁrst-of-its-kind poly-time approximate solving of a neural regression (here in the (cid:96) ∞ -norm) problem at ﬁnite net widths and for non-realizable data.
A Unifying Framework for Information Processing in Stochastically Driven Dynamical Systems

A dynamical system can be regarded as an information processing apparatus that encodes input streams from the external environment to its state and processes them through state transitions. The information processing capacity (IPC) is an excellent tool that comprehensively evaluates these processed inputs, providing details of unknown information processing in black box systems; however, this measure can be applied to only time-invariant systems. This paper extends the applicable range to time-variant systems and further reveals that the IPC is equivalent to coefficients of polynomial chaos (PC) expansion in more general dynamical systems. To achieve this objective, we tackle three issues. First, we establish a connection between the IPC for time-invariant systems and PC expansion, which is a type of polynomial expansion using orthogonal functions of input history as bases. We prove that the IPC corresponds to the squared norm of the coefficient vector of the basis in the PC expansion. Second, we show that an input following an arbitrary distribution can be used for the IPC, removing previous restrictions to specific input distributions. Third, we extend the conventional orthogonal bases to functions of both time and input history and propose the IPC for time-variant systems. To show the significance of our approach, we demonstrate that our measure can reveal information representations in not only machine learning networks but also a real, cultured neural network. Our generalized measure paves the way for unveiling the information processing capabilities of a wide variety of physical dynamics which has been left behind in nature.
Privacy-Utility Tradeoff for Hypothesis Testing Over a Noisy Channel

We study a hypothesis testing problem with a privacy constraint over a noisy channel and derive the performance of optimal tests under the Neyman-Pearson criterion. The fundamental limit of interest is the privacy-utility tradeoff (PUT) between the exponent of the type-II error probability and the leakage of the information source subject to a constant constraint on the type-I error probability. We provide an exact characterization of the asymptotic PUT for any non-vanishing type-I error probability. Our result implies that tolerating a larger type-I error probability cannot improve the PUT. Such a result is known as a strong converse or strong impossibility theorem. To prove the strong converse theorem, we apply the recently proposed technique in (Tyagi and Watanabe, 2020) and further demonstrate its generality. The strong converse theorems for several problems, such as hypothesis testing against independence over a noisy channel (Sreekumar and Gündüz, 2020) and hypothesis testing with communication and privacy constraints (Gilani et al., 2020), are established or recovered as special cases of our result.
Online unsupervised deep unfolding for MIMO channel estimation

Channel estimation is a difficult problem in MIMO systems. Using a physical model allows to ease the problem, injecting a priori information based on the physics of propagation. However, such models rest on simplifying assumptions and require to know precisely the system configuration, which is unrealistic.In this paper, we propose to perform online learning for channel estimation in a massive MIMO context, adding flexibility to physical models by unfolding a channel estimation algorithm (matching pursuit) as a neural network. This leads to a computationally efficient neural network that can be trained online when initialized with an imperfect model. The method allows a base station to automatically correct its channel estimation algorithm based on incoming data, without the need for a separate offline training phase.It is applied to realistic channels and shows great performance, achieving channel estimation error almost as low as one would get with a perfectly calibrated system.
The structure of water on rutile TiO2(110) for applications in solar hydrogen production: towards a predictive model using hybrid-exchange density functional theory

Periodic hybrid-exchange density functional theory (DFT) simulations are used to develop a predictive model of the structure of water on the rutile TiO2(110) surface (Θ ≤ 1 ML). A description of the adsorbed species is given: dissociated water molecules and either mixed or dissociative dimers. The behaviour of the adsorbates is rationalised by considering both direct intermolecular and surface-mediated interactions. Some of these results are then compared with those from water adsorption on the rutile SnO2(110) surface, isostructural to TiO2(110). Lastly, the electronic structure of the surface in contact with monolayer water (Θ = 1 ML) reveals the contributions of adsorbate states involved in the photocatalytic reaction that controls the water oxidation process.
Assessing the Impact of COVID-19 on TB and HIV Programme Services in Selected Health Facilities in Lilongwe, Malawi: Operational Research in Real Time

When the COVID-19 pandemic was announced in March 2020, there was concern that TB and HIV programme services in Malawi would be severely affected. We set up real-time monthly surveillance of TB and HIV activities in eight health facilities in Lilongwe to see if it was possible to counteract the anticipated negative impact on TB case detection and treatment and HIV testing. Aggregate data were collected monthly during the COVID-19 period (March 2020–February 2021) using an EpiCollect5 application and compared with monthly data collected during the pre-COVID-19 period (March 2019–February 2020); these reports were sent monthly to programme directors. During COVID-19, there was an overall decrease in persons presenting with presumptive pulmonary TB (45.6%), in patients registered for TB treatment (19.1%), and in individuals tested for HIV (39.0%). For presumptive TB, children and females were more affected, but for HIV testing, adults and males were more affected. During COVID-19, the TB treatment success rate (96.1% in pre-COVID-19 and 96.0% during COVID-19 period) and referral of HIV-positive persons to antiretroviral therapy (100% in pre-COVID-19 and 98.6% during COVID-19 period) remained high and largely unchanged. Declining trends in TB and HIV case detection were not redressed despite real-time monthly surveillance.
Tau Exon 10 Inclusion by PrPC through Downregulating GSK3β Activity

Tau protein is largely responsible for tauopathies, including Alzheimer’s disease (AD), where it accumulates in the brain as insoluble aggregates. Tau mRNA is regulated by alternative splicing, and inclusion or exclusion of exon 10 gives rise to the 3R and 4R isoforms respectively, whose balance is physiologically regulated. In this sense, one of the several factors that regulate alternative splicing of tau is GSK3β, whose activity is inhibited by the cellular prion protein (PrPC), which has different physiological functions in neuroprotection and neuronal differentiation. Moreover, a relationship between PrPC and tau expression levels has been reported during AD evolution. For this reason, in this study we aimed to analyze the role of PrPC and the implication of GSK3β in the regulation of tau exon 10 alternative splicing. We used AD human samples and mouse models of PrPC ablation and tau overexpression. In addition, we used primary neuronal cultures to develop functional studies. Our results revealed a paralleled association between PrPC expression and tau 4R isoforms in all models analyzed. In this sense, reduction or ablation of PrPC levels induces an increase in tau 3R/4R balance. More relevantly, our data points to GSK3β activity downstream from PrPC in this phenomenon. Our results indicate that PrPC plays a role in tau exon 10 inclusion through the inhibitory capacity of GSK3β.
Approaches for the Prediction of Leaf Wetness Duration with Machine Learning

The prediction of leaf wetness duration (LWD) is an issue of interest for disease prevention in coffee plantations, forests, and other crops. This study analyzed different LWD prediction approaches using machine learning and meteorological and temporal variables as the models’ input. The information was collected through meteorological stations placed in coffee plantations in six different regions of Costa Rica, and the leaf wetness duration was measured by sensors installed in the same regions. The best prediction models had a mean absolute error of around 60 min per day. Our results demonstrate that for LWD modeling, it is not convenient to aggregate records at a daily level. The model performance was better when the records were collected at intervals of 15 min instead of 30 min.
Surfactant-Free Decellularization of Porcine Aortic Tissue by Subcritical Dimethyl Ether

Porcine aortic tissue was decellularized by subcritical dimethyl ether (DME) used as an alternative to the surfactant sodium dodecyl sulfate. The process included three steps. For the first step, lipids were extracted from the porcine aorta using subcritical DME at 23 °C with a DME pressure of 0.56 MPa. Next, DME was evaporated from the aorta under atmospheric pressure and temperature. The second step involved DNA fragmentation by DNase, which was primarily identical to the common method. For the third step, similar to the common method, DNA fragments were removed by washing with water and ethanol. After 3 days of DNase treatment, the amount of DNA remaining in the porcine aorta was 40 ng/dry-mg, which was lower than the standard value of 50 ng/mg-dry. Hematoxylin and eosin staining showed that most cell nuclei were removed from the aorta. These results demonstrate that subcritical DME eliminates the need to utilize surfactants.