bluuebunny/crossref_metadata_2025_split huggingface dataset:
AdaLip: An Adaptive Learning Rate Method per Layer for Stochastic Optimization
Authors: Ioannou George , Tagaris Thanos , Stafylopatis Andreas 
Published: January 2023

AbstractVarious works have been published around the optimization of Neural Networks that emphasize the significance of the learning rate. In this study we analyze the need for a different treatment for each layer and how this affects training. We propose a novel optimization technique, called AdaLip, that utilizes an estimation of the Lipschitz constant of the gradients in order to construct an adaptive learning rate per layer that can work on top of already existing optimizers, like SGD or Adam. A detailed experimental framework was used to prove the usefulness of the optimizer on three benchmark datasets. It showed that AdaLip improves the training performance and the convergence speed, but also made the training process more robust to the selection of the initial global learning rate.
Deep learning/Kalman filter-based underwater localization in VLC systems
Authors: Salama Wessam M. , Aly Moustafa H. , Amer Eman S. 
Published: January 2023

AbstractThere is a huge importance for the localization system in underwater visible light communication (VLC) systems as in petroleum, military and diving fields. To enhance the localization system, we use the Kalman filter (KF) algorithm with average received signal strength (RSS) method to obtain the nearest estimated positions. In this paper, two channel modeling weighted double Gamma functions (WDGF) are applied and a combination exponential arbitrary power function (CEAPF) for enhancing localization in VLC underwater systems. Using the proposed KF enhances the localization by ~ 60% as compared to the than average RSS technique for WDGF channel modeling and ~ 78% for the CEAPF channel modeling. Based on the estimate of received signal strength (RSS) by deep learning models (DLMs), underwater localization utilizing VLC is introduced. Our proposed framework is categorized into two phases. First, data collection is collected based on MATLAB software. Second, the training and testing of DLMs, SSD, RetinaNet, ResNet50V2 and InceptionResNetV2 techniques are applied. The channel gains are the DLMs’ input data set, while the DLMs’ output is the RSS intensity technique coordinates for each detector. The DLMs are then developed and trained using Python software. The ResNet50V2 based on average RSS technique hybrid with KF in CEAPF channel model achieves 99.98% accuracy, 99.97% area under the curve, 98.99% precision, 98.88% F1-score, 0.101 RMSE and 0.32 s testing time.
Light-induced changes of far-red excited chlorophyll fluorescence: further evidence for variable fluorescence of photosystem I in vivo
Authors: Schreiber Ulrich 
Published: January 2023

AbstractRecently, the long-standing paradigm of variable chlorophyll (Chl) fluorescence (Fv)in vivooriginating exclusively from PSII was challenged, based on measurements with green algae and cyanobacteria (Schreiber and Klughammer 2021, PRES 149, 213-231). Fv(I) was identified by comparing light-induced changes of Fv > 700 nm and Fv < 710 nm. The Fv(I) induced by strong light was about 1.5 × larger in Fv > 700 nm compared to Fv < 710 nm. In the present communication, concentrating on the model green algaChlorella vulgaris, this work is extended by comparing the light-induced changes of long-wavelength fluorescence (> 765 nm) that is excited by either far-red light (720 nm, mostly absorbed in PSI) or visible light (540 nm, absorbed by PSI and PSII). Polyphasic rise curves of Fv induced by saturating 540 nm light are measured, which after normalization of the initial O-I1rises, assumed to reflect Fv(II), display a 2 × higher I2-P transient with 720 nm excitation (720ex) compared with 540ex. Analysis of the Fo(I) contributions to Fo(720ex) and Fo(540ex) reveals that also Fo(I)720ex is 2 × higher than Fo(I)540ex, which supports the notion that the whole I2-P transient is due to Fv(I). The twofold increase of the excitation ratio of F(I)/F(II) from 680 to 720 nm is much smaller than the eight–tenfold increase of PSI/PSII known from action spectra. It is suggested that the measured F > 765 nm is not representative for the bulk chlorophyll of PSI, but rather reflects a small fraction of far-red absorbing chlorophyll forms (“red Chls”) with particular properties. Based on the same approach (comparison of polyphasic rise curves measured with 720ex and 540ex), the existence of Fv(I) is confirmed in a variety of other photosynthetic organisms (cyanobacteria, moss, fern, higher plant leaves).
Truncated Poisson–Dirichlet approximation for Dirichlet process hierarchical models
Authors: Zhang Junyi , Dassios Angelos 
Published: January 2023

AbstractThe Dirichlet process was introduced by Ferguson in 1973 to use with Bayesian nonparametric inference problems. A lot of work has been done based on the Dirichlet process, making it the most fundamental prior in Bayesian nonparametric statistics. Since the construction of Dirichlet process involves an infinite number of random variables, simulation-based methods are hard to implement, and various finite approximations for the Dirichlet process have been proposed to solve this problem. In this paper, we construct a new random probability measure called the truncated Poisson–Dirichlet process. It sorts the components of a Dirichlet process in descending order according to their random weights, then makes a truncation to obtain a finite approximation for the distribution of the Dirichlet process. Since the approximation is based on a decreasing sequence of random weights, it has a lower truncation error comparing to the existing methods using stick-breaking process. Then we develop a blocked Gibbs sampler based on Hamiltonian Monte Carlo method to explore the posterior of the truncated Poisson–Dirichlet process. This method is illustrated by the normal mean mixture model and Caron–Fox network model. Numerical implementations are provided to demonstrate the effectiveness and performance of our algorithm.
Preclinical Identification Of Tumor-Draining Lymph Nodes Using a Multimodal Non-invasive In vivo Imaging Approach
Authors: Knopf Philipp , Stowbur Dimitri , Hoffmann Sabrina H. L. , Fransen Marieke F. , Schwenck Johannes , Pichler Bernd J. , Kneilling Manfred 
Published: January 2023

Abstract

Purpose
Resection of the tumor-draining lymph -node (TDLN) represents a standard method to identify metastasis for several malignancies. Interestingly, recent preclinical studies indicate that TDLN resection diminishes the efficacy of immune checkpoint inhibitor-based cancer immunotherapies. Thus, accurate preclinical identification of TDLNs is pivotal to uncovering the underlying immunological mechanisms. Therefore, we validated preclinically, and clinically available non-invasive in vivo imaging approaches for precise TDLN identification.

Procedures
For visualization of the lymphatic drainage into the TDLNs by non-invasive in vivo optical imaging, we injected the optical imaging contrast agents Patent Blue V (582.7 g mol−1) and IRDye® 800CW polyethylene glycol (PEG; 25,000–60,000 g mol−1), subcutaneously (s.c.) in close proximity to MC38 adenocarcinomas at the right flank of experimental mice. For determination of the lymphatic drainage and the glucose metabolism in TDLNs by non-invasive in vivo PET/magnetic resonance imaging (PET/MRI), we injected the positron emission tomography (PET) tracer (2-deoxy-2[18F]fluoro-D-glucose (18F-FDG) [181.1 g mol−1]) in a similar manner. For ex vivo cross-correlation, we isolated TDLNs and contralateral nontumor-draining lymph nodes (NTDLNs) and performed optical imaging, biodistribution, and autoradiography analysis.

Results
The clinically well-established Patent Blue V was superior for intraoperative macroscopic identification of the TDLNs compared with IRDye® 800CW PEG but was not sensitive enough for non-invasive in vivo detection by optical imaging. Ex vivo Patent Blue V biodistribution analysis clearly identified the right accessory axillary and the proper axillary lymph node (LN) as TDLNs, whereas ex vivo IRDye® 800CW PEG completely failed. In contrast, functional non-invasive in vivo18F-FDG PET/MRI identified a significantly elevated uptake exclusively within the ipsilateral accessory axillary TDLN of experimental mice and was able to differentiate between the accessory axillary and the proper LN. Ex vivo biodistribution and autoradiography confirmed our in vivo18F-FDG PET/MRI results.

Conclusions
When taken together, our results demonstrate the feasibility of 18F-FDG-PET/MRI as a valid method for non-invasive in vivo, intraoperative, and ex vivo identification of the lymphatic drainage and glucose metabolism within the TDLNs. In addition, using Patent Blue V provides additive value for the macroscopic localization of the lymphatic drainage both visually and by ex vivo optical imaging analysis. Thus, both methods are valuable, easy to implement, and cost-effective for preclinical identification of the TDLN.
Structural elucidation of a Mn(III) derivative anchored with a tetradentate Schiff base precursor: in vitro cytotoxicity study
Authors: Das Kuheli , Shetty Manasa G. , Melanthota Sindhoora K. , Sundara Babitha K. , Kar Sudeshna , Massera Chiara , Garribba Eugenio , Datta Amitabha , Mazumder Nirmal 
Published: January 2023

AbstractA new mononuclear Mn(III) derivative, [Mn(L)(H2O)2]ClO4(1) was obtained by reacting manganese perchlorate with the tetradentate Schiff base precursor, H2L, [where H2L=C6H3(OMe)(OH)CH=N(CH2)3N=CH(OH)(OMe)C6H3] and characterized by various spectral techniques. Single crystal X-ray diffraction analysis revealed that in 1, the central Mn atom is hexa-coordinated via the NNOO donor sites of the Schiff base precursor and two water molecules, yielding a distorted octahedral geometry. Also, the EPR spectra of1were recorded at the solid state by varying the temperature (from 90 to 300 K) as well as in different organic solvents; DMSO, MeOH and a mixture CH2Cl2/toluene; the results obtained agree with the geometrical environment around the metal. The cytotoxic activity of the Mn(III) derivative was evaluated against normal and cancer cell lines. The derivative exhibited comparatively better cytotoxic activity against MCF-7 cells compared to SiHa and fibroblast cells.
Physical, optical, thermoanalytical, and radiation response study of Eu2O3-doped zinc fluoro-telluroborate glasses
Authors: Wagh A. , D’Souza A. N. , Karunakara N. , Shailaja H. , Raviprakash Y. , Kamath S. D. 
Published: January 2023

AbstractIn the present study, Eu3+-doped zinc fluoro-telluroborate transparent glasses were prepared by the conventional melt−quench technique. Their density and refractive index values were measured, and using these values, different physical parameters (number density, oxygen packing density, no. of bonds/vol, etc.) were calculated and analysed. The XRD pattern displayed a disordered atomic arrangement in the glass network. The EDS spectra proved the purity of the samples exhibiting only those elements used during the synthesis. The good solubility of Eu3+ ions in zinc fluoro-telluroborate glasses was analysed through fine absorption peaks in the UV−Vis−NIR range. The absorption intensities increased in all samples up to 3.0 mol% of Eu3+-doping concentration. The stabilities of the samples, such as ∆T ~ (144–156) °C and Hr ~ 2.33–4.00, calculated using characteristic temperatures (Tg, Tx, Tc, Tm) from DSC studies exhibited their promising candidature in a high-temperature environment. The Eu7 (Eu3+ with 3.0 mol%) glass confirmed better attenuation properties (LAC, Zeff, HVL, MFP) compared to other composition (0–2.5 mol%) glasses.
Irrational methods suggest indecomposability and emergence
Authors: Tabatabaei Ghomi Hamed 
Published: January 2023

AbstractThis paper offers a practical argument for metaphysical emergence. The main message is that the growing reliance on so-called irrational scientific methods provides evidence that objects of science are indecomposable and as such, are better described by metaphysical emergence as opposed to the prevalent reductionistic metaphysics. I show that a potential counterargument that science will eventually reduce everything to physics has little weight given where science is heading with its current methodological trend. I substantiate my arguments by detailed examples from biological engineering, but the conclusions are extendable beyond that discipline.
RETRACTED ARTICLE: Data-driven EUR for multistage hydraulically fractured wells in shale formation using different machine learning methods
Authors: Ibrahim Ahmed Farid , Alarifi Sulaiman A. , Elkatatny Salaheldin 
Published: January 2023

AbstractThis study proposes the use of different machine learning techniques to predict the estimated ultimate recovery (EUR) as a function of the hydraulic fracturing design. A set of data includes 200 well production data, and completion designs were collected from oil production wells in the Niobrara shale formation. The completion design parameters include the lateral length, the number of stages, the total injected proppant and slurry volumes, and the maximum treating pressure measured during the fracturing operations. The data set was randomly split into training and testing with a ratio of 75:25. Different machine learning methods were to predict EUR from the completion design including linear regression, random forest (RF), and decision tree (DT) in addition to gradient boosting regression (GBR). EUR prediction from the completion data showed a low accuracy. As result, an intermediate step of estimating the well IP30 (the initial well production rate for the first month) from the completion data was carried out; then, the IP30 and the completion design were used as input parameters to predict the EUR. The linear regression showed some linear relationship between the output and the inputs, where the EUR can be predicted with a linear relationship with anR-value of 0.84. In addition, a linear correlation was developed based on the linear regression model. Moreover, the other ML tools including RF, DT, and GBR presented high accuracy of EUR prediction with correlation coefficient (R) values between actual and predicted EUR from the ML model higher than 0.9. This study provides ML application with an empirical correlation to predict the EUR from the completion design parameters at an early time without the need for complex numerical simulation analysis. Unlike the available empirical DCA models that require several months of production to build a sound prediction of EUR, the main advantage of the developed models in this study is that it requires only an initial flow rate along with the completion design to predict EUR with high certainty.
Early post-transplant recurrence of ANCA vasculitis while on belatacept maintenance immunosuppression
Authors: Agrawal Amogh , Chong Grace Yun , Fidler Mary Elizabeth , Cramer II Carl Henry , Amer Hatem , Bentall Andrew John 
Published: January 2023

AbstractPost-transplant recurrence of ANCA-associated vasculitis (AAV) is infrequent, with recurrence within weeks of transplantation being even rarer. We describe an unusual case of AAV recurrence within 2 weeks post-transplant. Our patient received a deceased donor kidney transplant (KDPI 60%) after 6 years on hemodialysis for end-stage renal disease from AAV. She was induced with thymoglobulin and steroids, and maintained on belatacept, mycophenolate and prednisone. Time-zero biopsy showed acute tubular injury. Due to persistent delayed graft function by post-operative day 14, she underwent repeat biopsy, which showed focal segmental necrotizing and crescentic glomerulonephritis, with positive MPO, PR3 and negative anti-glomerular basement membrane antibodies. As her findings were in keeping with recurrent AAV, she underwent induction with rituximab, prednisone and intravenous immunoglobulin, with repeat rituximab 14 days later because of increasing B-lymphocyte counts. Belatacept was replaced with tacrolimus due to concerns with autoimmunity. Fortunately, renal function began to recover 4 days after treatment. In addition to highlighting potential immunologic mechanisms in AAV and the use of rituximab in post-transplant recurrence, our case suggests that for systemic autoimmune disease, patients maintained on belatacept must be monitored closely for recurrence, particularly in the setting of delayed graft function.
Graphical Abstract
A Thermoregulatory Flexible Phase Change Nonwoven for All-Season High-Efficiency Wearable Thermal Management
Authors: Liu Hanqing , Zhou Feng , Shi Xiaoyu , Sun Keyan , Kou Yan , Das Pratteek , Li Yangeng , Zhang Xinyu , Mateti Srikanth , Chen Ying , Wu Zhong-Shuai , Shi Quan 
Published: January 2023

AbstractPhase change materials have a key role for wearable thermal management, but suffer from poor water vapor permeability, low enthalpy value and weak shape stability caused by liquid phase leakage and intrinsic rigidity of solid–liquid phase change materials. Herein, we report for the first time a versatile strategy for designed assembly of high-enthalpy flexible phase change nonwovens (GB-PCN) by wet-spinning hybrid graphene-boron nitride (GB) fiber and subsequent impregnating paraffins (e.g., eicosane, octadecane). As a result, our GB-PCN exhibited an unprecedented enthalpy value of 206.0 J g−1, excellent thermal reliability and anti-leakage capacity, superb thermal cycling ability of 97.6% after 1000 cycles, and ultrahigh water vapor permeability (close to the cotton), outperforming the reported PCM films and fibers to date. Notably, the wearable thermal management systems based on GB-PCN for both clothing and face mask were demonstrated, which can maintain the human body at a comfortable temperature range for a significantly long time. Therefore, our results demonstrate huge potential of GB-PCN for human-wearable passive thermal management in real scenarios.
Co-occurrence patterns and habitat selection of the mountain hare, European hare, and European rabbit in urban areas of Sweden
Authors: Bach Henriette , Escoubet Hannah , Mayer Martin 
Published: January 2023

AbstractAssessing the underlying mechanisms of species co-occurrence patterns can be challenging as biotic and abiotic factors are hard to disentangle. To date, few studies have investigated co-occurrence patterns of mammals within urban areas. As urban areas are increasingly used as habitat by wildlife, there is a need for a better understanding of urban ecology to facilitate human-wildlife co-existence. Here, we investigated co-occurrence patterns and habitat selection of the European hare (Lepus europaeus), mountain hare (L. timidus),and European rabbit (Oryctolagus cuniculus) inside urban areas of Sweden, using joint species distribution models and generalized linear mixed models based on citizen science observations. All three species were observed within urban areas, but European hares and rabbits appear to be more successful urban colonizers compared to mountain hares. Overall, our findings suggested that urban occurrence by all three lagomorphs was related to suitable conditions within the distribution of each species (e.g., climate and elevation), rather than by the presence of other lagomorph species or specific land cover types within urban areas. On a finer spatial scale, European hares and rabbits generally selected for green urban areas and mountain hares for residential gardens, which likely constitute suitable foraging sites. Moreover, overlap in activity times between European hares and rabbits was mediated by land cover type and sympatry. Our findings contribute to the understanding of urban ecology and provide insights for management measures of the three lagomorphs in urban areas of Sweden.
Low-quality protein modulates inflammatory markers and the response to lipopolysaccharide insult: the case of lysine
Authors: El-Mallah Carla , Ragi Marie-Elizabeth E. , Eid Assaad , Obeid Omar A. 
Published: January 2023

AbstractThe relationship between non-communicable diseases and eating behaviour has long been attributed to a surplus of food and energy. However, the increase in the prevalence of non-communicable disease and their underlying low-grade inflammatory milieu among people of low socio-economic status has highlighted the existence of a confounding factor. In this work, we aim to study the effect of lysine deficiency on some inflammatory markers in the absence or presence of an inflammatory insult (lipopolysaccharide (LPS)). For this purpose, thirty-two 5-week-old male Sprague Dawley rats were randomly distributed into four groups: (1) control diet, (2) control diet+LPS, (3) lysine-deficient diet and (4) lysine-deficient diet + LPS. Groups were only allowed their experimental diets for 4 weeks, during which LPS (50 µg/kg) or saline injections were administered intraperitoneally three times per week. The study showed that lysine deficiency blunted growth and body compartments development, decreased albumin production and elevated liver C-reactive protein (CRP) expression, independently of IL-6 and IL-1β, the main precursors of CRP. Also, the insufficient levels of lysine in the diet increased hyperactivity and triggered an anxiety-like behaviour, exacerbated with LPS. This work presents evidence that various physiological changes are associated with the absence of a sufficient amount of lysine in the diet and can potentially increase the risk factor for diseases. Thus, the increment in non-communicable disease among the low socio-economic status populations, who heavily rely on cereals as a main source of protein, can be, at least partially, blamed on low lysine availability in diets.
Epidemiology of protozoan and helminthic parasites in wild passerine birds of Britain and Ireland
Authors: Parsa Fatemeh (Rose) , Bayley Sam , Bell Fraser , Dodd Stephen , Morris Ray , Roberts Jean , Wawman Denise , Clegg Simon R. , Dunn Jenny C. 
Published: January 2023

AbstractAvian endoparasites play important roles in conservation, biodiversity and host evolution. Currently, little is known about the epidemiology of intestinal helminths and protozoans infecting wild birds of Britain and Ireland. This study aimed to determine the rates of parasite prevalence, abundance and infection intensity in wild passerines. Fecal samples (n= 755) from 18 bird families were collected from 13 sites across England, Wales and Ireland from March 2020 to June 2021. A conventional sodium nitrate flotation method allowed morphological identification and abundance estimation of eggs/oocysts. Associations with host family and age were examined alongside spatiotemporal and ecological factors using Bayesian phylogenetically controlled models. Parasites were detected in 20.0% of samples, with corvids and finches having the highest prevalences and intensities, respectively.Syngamus(33%) andIsospora(32%) were the most prevalent genera observed. Parasite prevalence and abundance differed amongst avian families and seasons, while infection intensity varied between families and regions. Prevalence was affected by diet diversity, while abundance differed by host age and habitat diversity. Infection intensity was higher in birds using a wider range of habitats, and doubled in areas with feeders present. The elucidation of these patterns will increase the understanding of parasite fauna in British and Irish birds.