bluuebunny/crossref_metadata_2025_split huggingface dataset:
Very low frequency waves as selective probe for Cysticercus tenuicollis, Hydatid cyst and Coenurus cerebralis bio-analysis using single cell-signal recording
Authors: Foroutan Hamed , Moazeni Mohammad , Doroodmand Mohammad Mahdi , Mootabi-Alavi Amir 
Published: November 2022

AbstractComparative electric behavior of Cysticercus tenuicollis, Hydatid cyst and Coenurus cerebralis at the Very Low Frequency (VLF) region has been studied in detail. This investigation could be significant, because of the economic and public health importance of these parasitic infections in domestic animals. In this report, a single cell signal recording technique has been adopted for comparison using a stainless steel (type: 316, diameter: ~ 300 µm, height: 2.00 cm) two identical electrode system, implanted on the surface of the tested cysts with inter electrode distance of 0.50 cm at a ~ 6.0 giga ohm (GΩ) sealed condition (based on the situation of the implanted electrode system). This process was achieved based on applying electrical interaction between the cysts and the VLF electrical signal. Relative to the measured time domain signal (Current–time diagram), the frequency domain (Current-frequency diagram) was estimated via applying a “Discrete Fast Fourier Transform” (DFFT) algorithm at a fixed time interval (5.0 min). Factors, having important influence on the sensitivity of the detection system including the type (waveform) of different alternating-current (AC) triggering stimulus signals (such as direct current, square wave, triangular, sin (t), etc.), the amplitude, as well as the frequency were optimized automatically through a written “Visual Basic 6” program by one-factor-at-a-time method. Direct applying this AC triggering VLF voltage to the cysts resulted in tracing an AC electrical current vs. time that considered as the time domain wave. However, this electrical current was decayed rapidly versus time during maximum 30.0 s time scale. Applying the DFFT algorithm to the measured time domain, resulted in accessing to the frequency domain at the selected frequency range between 2 and 5 kHz that was considered as the selected frequency for the selective differentiation of C. tenuicollis, Hydatid cyst and C. cerebralis. The related probable mechanism of this process may be attributed to the correlation between the triggering potential and the cyst’s electrical surface charge (Zeta potential) as the current source under similar conditions. The results of this study may help to introduce a new detection system for in vivo recognition of the cysts in future.
Multi-modal wound classification using wound image and location by deep neural network
Authors: Anisuzzaman D. M. , Patel Yash , Rostami Behrouz , Niezgoda Jeffrey , Gopalakrishnan Sandeep , Yu Zeyun 
Published: November 2022

AbstractWound classification is an essential step of wound diagnosis. An efficient classifier can assist wound specialists in classifying wound types with less financial and time costs and help them decide on an optimal treatment procedure. This study developed a deep neural network-based multi-modal classifier using wound images and their corresponding locations to categorize them into multiple classes, including diabetic, pressure, surgical, and venous ulcers. A body map was also developed to prepare the location data, which can help wound specialists tag wound locations more efficiently. Three datasets containing images and their corresponding location information were designed with the help of wound specialists. The multi-modal network was developed by concatenating the image-based and location-based classifier outputs with other modifications. The maximum accuracy on mixed-class classifications (containing background and normal skin) varies from 82.48 to 100% in different experiments. The maximum accuracy on wound-class classifications (containing only diabetic, pressure, surgical, and venous) varies from 72.95 to 97.12% in various experiments. The proposed multi-modal network also showed a significant improvement in results from the previous works of literature.
Effects of recultivation on soil organic carbon sequestration in abandoned coal mining sites: a meta-analysis
Authors: Baier Clara , Modersohn Antonia , Jalowy Friedrich , Glaser Bruno , Gross Arthur 
Published: November 2022

AbstractOpencast coal mining results in high loss of soil organic carbon (SOC), which may be restored via recultivation. Common strategies include liming, topsoil application, and phytoremediation. It remains unclear, however, which parameters determine the effectiveness of these varying recultivation strategies especially regarding SOC sequestration. This meta-analysis analyses the effect of varying recultivation strategies on SOC sequestration under different climate and soil conditions (pH, texture, depth) as well as in relation to time, based on 404 data entries from 51 studies. All included climatic regions recorded increases in SOC stocks, with tropical soils showing the highest potential for relative gains at up to 637%. We demonstrate that loamy soils sequester twice as much newly introduced SOC than sand. Strategy-wise, the highest mean rate of SOC sequestration is achieved by forest after topsoil application (3.9 Mg ha−1 a−1), agriculture after topsoil application (2.3 Mg ha−1 a−1), and agriculture with topsoil and fertiliser application (1.9 Mg ha−1 a−1) with a response ratio of 304%, 281%, and 218%, respectively. Soils analysed to less then 40 cm depth show higher SOC sequestration rates (< 10 cm: 0.6 Mg ha−1 a−1, < 20 cm: 1.0 Mg ha−1 a−1, and 20–40 cm: 0.4 Mg ha−1 a−1; response ratio of 123%, 68%, and 73%, respectively) than those analysed to a depth of 41–80 cm (0.1 Mg ha−1 a−1; response ratio of 6%). In terms of pH, strongly acidic soils (pH < 4.5) and alkaline conditions (pH > 7) offer the most beneficial environment for SOC sequestration at 0.4 Mg ha−1 a−1 and 0.8 Mg ha−1 a−1, respectively (185% and 273% response). Given comparable SOC sequestration potentials of forest after topsoil application, agriculture without amendments, and forest without amendments, we recommend to weigh these strategies against each other. Potentially decisive aspects are short- vs. long-term economic gains, food security concerns, and—in case of agriculture—the risk of overintensification leading to losses in SOC. Our data suggests that amendments exert considerable influence on SOC sequestration and need to be introduced under careful consideration.
Performance estimation of optical skin probe in short wavelength infrared spectroscopy based on Monte-Carlo simulation
Authors: Lee June-Young , Ahn Sungmo , Nam Sung Hyun 
Published: November 2022

AbstractOptical throughput and optical path length are key parameters to obtain high signal to noise ratio and sensor sensitivity for the detection of skin tissue components based on short wavelength infrared (SWIR) spectroscopy. These parameters should be taken into account at the stage of optical system design. We aim to develop a method to estimate the optical efficiency and the effective water path length of a newly designed SWIR spectroscopy skin measurement system using Monte-Carlo photon migration simulation. To estimate the optical efficiency and the effective water path length, we investigated the characteristics of Monte-Carlo photon migration simulation utilizing one layered simple skin model. Simulation of photon transport in skin was conducted for transmission, transflection, and reflection optical configurations in both first overtone (1540 ~ 1820 nm) and combination (2040 ~ 2380 nm) wavelength ranges. Experimental measurement of skin spectrum was done using Fourier transform infrared spectroscopy based system to validate the estimation performance. Overall, the simulated results for optical efficiency and effective water path length are in good agreements with the experimental measurements, which shows the suggested method can be used as a means for the performance estimation and the design optimization of various in-vivo SWIR spectroscopic system.
Investigation of 91 proteins implicated in neurobiological processes identifies multiple candidate plasma biomarkers of stroke outcome
Authors: Lagging Cecilia , Klasson Sofia , Pedersen Annie , Nilsson Staffan , Jood Katarina , Stanne Tara M. , Jern Christina 
Published: November 2022

AbstractThe inter-individual variation in stroke outcomes is large and protein studies could point to potential underlying biological mechanisms. We measured plasma levels of 91 neurobiological proteins in 209 cases included in the Sahlgrenska Academy Study on Ischemic Stroke using a Proximity Extension Assay, and blood was sampled in the acute phase and at 3-month and 7-year follow-ups. Levels were also determined once in 209 controls. Acute stroke severity and neurological outcome were evaluated by the National Institutes of Health Stroke Scale. In linear regression models corrected for age, sex, and sampling day, acute phase levels of 37 proteins were associated with acute stroke severity, and 47 with 3-month and/or 7-year outcome at false discovery rate < 0.05. Three-month levels of 8 proteins were associated with 7-year outcome, of which the associations for BCAN and Nr-CAM were independent also of acute stroke severity. Most proteins followed a trajectory with lower levels in the acute phase compared to the 3-month follow-up and the control sampling point. Conclusively, we identified multiple candidate plasma biomarkers of stroke severity and neurological outcome meriting further investigation. This study adds novel information, as most of the reported proteins have not been previously investigated in a stroke cohort.
Natural selection under conventional and organic cropping systems affect root architecture in spring barley
Authors: Siddiqui Md. Nurealam , Schneider Michael , Barbosa Marissa B. , Léon Jens , Ballvora Agim 
Published: November 2022

AbstractA beneficial root system is crucial for efficient nutrient uptake and stress tolerance. Therefore, evaluating the root system variation for breeding crop plants towards stress adaptation is critically important. Here, we phenotyped root architectural traits of naturally adapted populations from organic and conventional cropping systems under hydroponic and field trails. Long-term natural selection under these two cropping systems resulted in a microevolution of root morphological and anatomical traits. Barley lines developed under an organic system possessed longer roots with narrow root angle, larger surface area, increased root mass density, and a thinner root diameter with an increased number of metaxylem vessels. In contrast, lines adapted to the conventional system tend to have a shorter and wider root system with a larger root volume with a thicker diameter but fewer metaxylem vessels. Allometry analysis established a relationship between root traits and plant size among barley genotypes, which specifies that root angle could be a good candidate among studied root traits to determine root-borne shoot architecture. Further, multivariate analyses showed a strong tendency towards increased variability of the organically adapted population's root morphological and anatomical traits. The genotyping of ancestor populations validated the observations made in these experiments. Collectively, this results indicate significant differences in root phenotypes between conventional and organic populations, which could be useful in comparative genomics and breeding.
Characterizing the degradation of cannabidiol in an e-liquid formulation
Authors: Schwarzenberg Adrián , Carpenter Harry , Wright Christopher , Bayazeid Omer , Brokl Michał 
Published: November 2022

AbstractThe reported characteristics of cannabidiol (CBD) have encouraged significant growth in commercial CBD products. There is limited information on the stability of CBD and some researchers have noted significant reductions of CBD in products. In this study, the chemical profiles of plant-based and chemically synthesized CBD in a prototype e-liquid formulation were assessed during 4 weeks of storage under varying conditions. Samples were analysed on days 1, 8, 15, 22, and 29 by untargeted analysis using ultra-high performance liquid chromatography—trapped ion mobility–time-of-flight mass spectrometry (UHPLC-TIMS-TOF-MS). On day 1, analysis of plant-based and synthetic CBD formulations showed small differences in their composition, with plant-based CBD e-liquid containing trace levels of a higher number of phytocannabinoid-related impurities. Storage for 4 weeks under stress (40 °C, 75% relative humidity, dark) and ambient (25 °C, 60% relative humidity, daylight) conditions led to increases in the number and abundance of cannabinoid-related degradation products, including cannabielsoin (CBE) and CBD-hydroxyquinone (HU-331), which are products of the oxidation of CBD, and other unidentified cannabinoid-related compounds. The unidentified cannabinoid-related compounds were probed by accurate mass measurement and MS2 fragmentation but could not be matched using a mass spectral library derived from 39 commercially available cannabinoid reference standards. Based on elemental composition and MS2 fragmentation patterns, the unidentified cannabinoid-related compounds were classified as hydroxy-CBE, hydroxy-CBD, and dihydroxy-CBD. The analysis of e-liquid formulations protected from light and stored at 4 °C for 4 weeks indicated only very small increases in CBD oxidation products. The results indicate that CBD degrades in e-liquid solution at ambient temperature in dark and light to form potentially undesirable products, including cannabielsoin and cannabidiol hydroxyquinone.
Nordic walking with an integrated resistance shock absorber affects the femur strength and muscles torques in postmenopausal women
Authors: Wochna Krystian , Ogurkowska Małgorzata , Leszczyński Piotr , Stemplewski Rafał , Huta-Osiecka Anna , Błaszczyk Anna , Mączyński Jacek , Nowak Alicja 
Published: November 2022

AbstractDeterioration of the structure and function of the musculoskeletal system represents a significant problem during aging and intervention with a suitable load of physical activity may improve the quality of life. Nordic walking (NW) has become a popular and easily accessible form of activity, especially for older adults people around the world. Thus, the purpose of the study was to evaluate the influence of an Nordic walking training program with classic poles (NW) and with integrated resistance shock absorber (RSA) on bone mineral density and the peak torques of upper limb muscles and to compare the effects of both intervention programs. 25 women were randomly assigned to two training groups: 10 subjects using RSA (68 ± 4.19 years) and 15 subjects using NW poles (65 ± 3.40 years), which completed 8 weeks of training program. The hip, spine and forearm areal bone mineral density, torques of the flexors and extensors at the elbow and shoulder joints were measured before starting the training programs and after their completion. The most significant effect was found in differences between the two groups of women with respect to the femur strength index (p = 0.047) and the ratio of the flexors to extensors in the elbow (p = 0.049) and shoulder (p = 0.001) joints and peak torque of flexors in the shoulder joint (p = 0.001) for the left arm. A significant difference was also found in the index of torque asymmetry of flexors in the shoulder joint (p = 0.002). The study shows that Nordic walking with RSA poles for postmenopausal women led to beneficial changes in the femur strength index. However, we found no significant influence on bone mineral density values measured on the whole body, the femoral neck, forearm or lumbar spine regions. The occurrence of asymmetry in biomechanical muscle parameters, which was observed using RSA poles, may suggest the necessity of systematic controlling the gait technique to avoid the adverse consequences of asymmetrical rotation of the lumbar spine.
Fine-grained population mapping from coarse census counts and open geodata
Authors: Metzger Nando , Vargas-Muñoz John E. , Daudt Rodrigo C. , Kellenberger Benjamin , Whelan Thao Ton-That , Ofli Ferda , Imran Muhammad , Schindler Konrad , Tuia Devis 
Published: November 2022

AbstractFine-grained population maps are needed in several domains, like urban planning, environmental monitoring, public health, and humanitarian operations. Unfortunately, in many countries only aggregate census counts over large spatial units are collected, moreover, these are not always up-to-date. We present Pomelo, a deep learning model that employs coarse census counts and open geodata to estimate fine-grained population maps with$$100\,$$100m ground sampling distance. Moreover, the model can also estimate population numbers when no census counts at all are available, by generalizing across countries. In a series of experiments for several countries in sub-Saharan Africa, the maps produced with Pomeloare in good agreement with the most detailed available reference counts: disaggregation of coarse census counts reaches$$R^2$$R2values of 85–89%; unconstrained prediction in the absence of any counts reaches 48–69%.
Bio-inspired electronic fingerprint PUF device with single-walled carbon nanotube network surface mediated by M13 bacteriophage template
Authors: Jeong Jae-Seung , Lee Gyo Sub , Park Tae-Eon , Lee Ki-Young , Ju Hyunsu 
Published: November 2022

AbstractHuman fingerprints are randomly created during fetal activity in the womb, resulting in unique and physically irreproducible fingerprint patterns that are applicable as a biological cryptographic primitive. Similarly, stochastically knitted single-walled carbon nanotube (SWNT) network surfaces exhibit inherently random and unique electrical characteristics that can be exploited as a physical unclonable function (PUF) in the authentication. In this study, filamentous M13 bacteriophages are used as a biological gluing template to create a random SWNT network surface with mechanical flexibility, with electrical properties determined by random variation during fabrication. The resistance profile between two adjacent electrodes was mapped for these M13-mediated SWNT network surfaces, with the results demonstrating a unique resistance profile for each M13-SWNT device, similar to that of human fingerprints. Randomness and uniqueness measures were evaluated as respectively 50.5% and 50% using generated challenge–response pairs. Min-entropy for unpredictability evaluation of the M13-SWNT based PUFs resulted in 0.98. Our results showed that M13-SWNT random network exhibits cryptographic characteristics when used in a bio-inspired PUF device.
Modulation instability—rogue wave correspondence hidden in integrable systems
Authors: Chen Shihua , Bu Lili , Pan Changchang , Hou Chong , Baronio Fabio , Grelu Philippe , Akhmediev Nail 
Published: November 2022

AbstractThe bulk-boundary correspondence is a key feature of topological physics and is universally applicable to Hermitian and non-Hermitian systems. Here, we report a similar universal correspondence intended for the rogue waves in integrable systems, by establishing the relationship between the fundamental rogue wave solutions of integrable models and the baseband modulation instability of continuous-wave backgrounds. We employ an N-component generalized nonlinear Schrödinger equation framework to exemplify this modulation instability-rogue wave correspondence, where we numerically confirm the excitation of three coexisting Peregrine solitons from a turbulent wave field, as predicted by the modulation instability analysis. The universality of such modulation instability-rogue wave correspondence has been corroborated using various integrable models, thereby offering an alternative way of obtaining exact rogue wave solutions from the modulation instability analysis.
Investigating Perceptual Subgroups in Speakers With Ataxic Dysarthria: An Auditory Free Classification Approach
Authors: Spencer Kristie A. , Amaral Jessica , Lansford Kaitlin 
Published: November 2022

Purpose:
Ataxic dysarthria has presented with considerable heterogeneity in the presentation of speech characteristics. Converging evidence supports the existence of subgroups, specifically related to the instability and inflexibility of motor patterns as a possible explanation of this variability.

Method:
To further examine the alignment of the speech characteristics of ataxic dysarthria with the instability/inflexibility framework, 23 graduate student listeners participated in an auditory free classification task and a guided classification task. Listeners grouped 15 speakers with ataxic dysarthria based on their judgment of the most salient perceptual characteristics during two speaking tasks: alternating motion rates (AMRs) and connected speech (one to two sentences). Listener ratings were then compared with a priori determinations of speakers who fit the instability subgroup profile and the inflexibility subgroup profile.

Results:
Results of both the free classification and guided classification listening paradigms provided supportive evidence of subgroups, particularly for the AMR task, in the context of strong inter- and intrarater reliability.

Conclusion:
This study adds to the growing evidence of the existence of instability and inflexibility subgroups in ataxic dysarthria and serves as a proof of concept for use of the auditory free classification paradigm in dysarthria subgroup research.
Video frame interpolation via residual blocks and feature pyramid networks
Authors: Yang Xiaohui , Zhang Haoran , Qu Zhe , Feng Zhiquan , Tian Jinglan 
Published: November 2022

AbstractVarious deep learning‐based video frame interpolation methods have been proposed in the past few years, but how to generate high quality interpolated frames in videos with large motions, complex backgrounds and rich textures is still a challenging issue. To deal with this limitation, a frame interpolation method based on residual blocks and feature pyramids is proposed. U‐Net is the main architecture of our method, which can capture multi‐layer information, segment objects from the background and obtain parameters with motion information to guide frame interpolation. However, the upsampling and subsampled of U‐Net will lose important information. In order to acquire more detailed contextual information, shortcut connection is used in the encoder basic module. At the same time, feature pyramid network is employed to capture features at different scales of the decoder to improve the representation of inter‐frame spatial‐temporal features. The experimental results show that the proposed method outperform the baseline methods in both of objective and subjective evaluations on different datasets. In particular, the method has obvious advantages on datasets which contain complex background.
Retracted: A conceptual framework for crowdsourcing requirements engineering in SCRUM‐based environment
Authors: Alatawi Mohammed Naif 
Published: November 2022

AbstractRetraction: [Mohammed Naif Alatawi, A conceptual framework for crowdsourcing requirements engineering in SCRUM‐based environment, IET Software 2022 (https://doi.org/10.1049/sfw2.12077)].The above article from IET Software, published online on 22 November 2022 in Wiley Online Library (wileyonlinelibrary.com), has been retracted by agreement between the Editor‐in‐Chief, Hana Chockler, the Institution of Engineering and Technology (the IET) and John Wiley and Sons Ltd. This article was published as part of a Guest Edited special issue. Following an investigation, the IET and the journal have determined that the article was not reviewed in line with the journal’s peer review standards and there is evidence that the peer review process of the special issue underwent systematic manipulation. Accordingly, we cannot vouch for the integrity or reliability of the content. As such we have taken the decision to retract the article. The authors have been informed of the decision to retract.