bluuebunny/crossref_metadata_2025_split huggingface dataset:
A whole-body FDG-PET/CT Dataset with manually annotated Tumor Lesions
Authors: Gatidis Sergios , Hepp Tobias , Früh Marcel , La Fougère Christian , Nikolaou Konstantin , Pfannenberg Christina , Schölkopf Bernhard , Küstner Thomas , Cyran Clemens , Rubin Daniel 
Published: October 2022

AbstractWe describe a publicly available dataset of annotated Positron Emission Tomography/Computed Tomography (PET/CT) studies. 1014 whole body Fluorodeoxyglucose (FDG)-PET/CT datasets (501 studies of patients with malignant lymphoma, melanoma and non small cell lung cancer (NSCLC) and 513 studies without PET-positive malignant lesions (negative controls)) acquired between 2014 and 2018 were included. All examinations were acquired on a single, state-of-the-art PET/CT scanner. The imaging protocol consisted of a whole-body FDG-PET acquisition and a corresponding diagnostic CT scan. All FDG-avid lesions identified as malignant based on the clinical PET/CT report were manually segmented on PET images in a slice-per-slice (3D) manner. We provide the anonymized original DICOM files of all studies as well as the corresponding DICOM segmentation masks. In addition, we provide scripts for image processing and conversion to different file formats (NIfTI, mha, hdf5). Primary diagnosis, age and sex are provided as non-imaging information. We demonstrate how this dataset can be used for deep learning-based automated analysis of PET/CT data and provide the trained deep learning model.
Toward practical transparent verifiable and long-term reproducible research using Guix
Authors: Vallet Nicolas , Michonneau David , Tournier Simon 
Published: October 2022

AbstractReproducibility crisis urge scientists to promote transparency which allows peers to draw same conclusions after performing identical steps from hypothesis to results. Growing resources are developed to open the access to methods, data and source codes. Still, the computational environment, an interface between data and source code running analyses, is not addressed. Environments are usually described with software and library names associated with version labels or provided as an opaque container image. This is not enough to describe the complexity of the dependencies on which they rely to operate on. We describe this issue and illustrate how open tools like Guix can be used by any scientist to share their environment and allow peers to reproduce it. Some steps of research might not be fully reproducible, but at least, transparency for computation is technically addressable. These tools should be considered by scientists willing to promote transparency and open science.
Absence of oxygen effect on microbial structure and methane production during drying and rewetting events
Authors: Liu Tong , Li Xiaoxiao , Yekta Sepehr Shakeri , Björn Annika , Mu Bo-Zhong , Masuda Laura Shizue Moriga , Schnürer Anna , Enrich-Prast Alex 
Published: October 2022

AbstractNatural environments with frequent drainage experience drying and rewetting events that impose fluctuations in water availability and oxygen exposure. These relatively dramatic cycles profoundly impact microbial activity in the environment and subsequent emissions of methane and carbon dioxide. In this study, we mimicked drying and rewetting events by submitting methanogenic communities from strictly anaerobic environments (anaerobic digestors) with different phylogenetic structures to consecutive desiccation events under aerobic (air) and anaerobic (nitrogen) conditions followed by rewetting. We showed that methane production quickly recovered after each rewetting, and surprisingly, no significant difference was observed between the effects of the aerobic or anaerobic desiccation events. There was a slight change in the microbial community structure and a decrease in methane production rates after consecutive drying and rewetting, which can be attributed to a depletion of the pool of available organic matter or the inhibition of the methanogenic communities. These observations indicate that in comparison to the drying and rewetting events or oxygen exposure, the initial phylogenetic structure and the organic matter quantity and quality exhibited a stronger influence on the methanogenic communities and overall microbial community responses. These results change the current paradigm of the sensitivity of strict anaerobic microorganisms to oxygen exposure.
Saltwater intrusion indirectly intensifies Phragmites australis invasion via alteration of soil microbes
Authors: Schroeder Carolyn S. , Kulick Nelle K. , Farrer Emily C. 
Published: October 2022

AbstractAlthough global change clearly influences species invasion, the exact mechanisms by which global change either intensifies or limits invasive spread remain elusive. Global change can affect invasion directly by altering abiotic conditions, as well as indirectly by altering the abundance and composition of interacting species. Here we examine the relative impacts of direct effects of saltwater intrusion and indirect effects via microbial interactions on the expansion of a model invasive plant species, Phragmites australis, in freshwater marshes of coastal Louisiana. Using a mesocosm experiment, we found that overall salinity strongly increases invasion, but the direction and magnitude of direct and indirect effects were context dependent. Indirect effects of salinity, via alterations in soil microbial composition, increased invasive performance when grown in monoculture and decreased native performance in native-only communities. However, when P. australis and natives were grown together, microbial indirect effects were not important; rather the salinity treatment increased P. australis invasion through reduction of native plant growth. Results suggest that salinity-induced alteration of soil microbes will increase susceptibility of native communities to invasion and promote P. australis monoculture expansion in later stages of invasion; whereas non-microbial effects of salinity are more important in early stages of invasion when P. australis is competing with native species. More broadly, these results underscore the importance of considering microbially-mediated indirect effects of global change in investigating the long-term outcomes of plant species interactions.
Magnetofection approach for the transformation of okra using green iron nanoparticles
Authors: Farooq Naila , Ather Laraib , Shafiq Muhammad , Nawaz-ul-Rehman Muhammad Shah , Haseeb Muhammad , Anjum Tehmina , Abbas Qamar , Hussain Mujahid , Ali Numan , Asad Abbas Syed Agha Armaghan , Mushtaq Sehrish , Haider Muhammad Saleem , Sadiq Saleha , Shahid Muhammad Adnan 
Published: October 2022

AbstractClimate change, pesticide resistance, and the need for developing new plant varieties have galvanized biotechnologists to find new solutions in order to produce transgenic plants. Over the last decade scientists are working on green metallic nanoparticles to develop DNA delivery systems for plants. In the current study, green Iron nanoparticles were synthesized using leaf extract of Camellia sinensis (green tea) and Iron Chloride (FeCl3), the characterization and Confirmation was done using UV–VIS Spectroscopy, FTIR, SEM, and TEM. Using these nanoparticles, a novel method of gene transformation in okra plants was developed, with a combination of different Magnetofection factors. Maximum gene transformation efficiency was observed at the DNA to Iron-nanoparticles ratio of 1:20, by rotation of mixture (Plasmid DNA, Iron-nanoparticles, and seed embryo) at 800 rpm for 5 h. Using this approach, the transformation of the GFP (green fluorescent protein) gene was successfully carried out in Abelmoschus esculentus (Okra plant). The DNA transformation was confirmed by observing the expression of transgene GFP via Laser Scanning Confocal Microscope (LSCM) and PCR. This method is highly economical, adaptable, genotype independent, eco-friendly, and time-saving as well. We infer that this approach can be a potential solution to combat the yield and immunity challenges of plants against pathogens.
Mid-infrared electronic wavelength tuning through intracavity difference-frequency mixing in Cr:ZnSe lasers
Authors: Yumoto Masaki , Miyata Kentaro , Kawata Yasushi , Wada Satoshi 
Published: October 2022

AbstractMid-infrared tunable coherent light sources are used in various laser applications, such as trace gas detection, laser processing, and biomedical diagnostics. This study demonstrates mid-infrared generation in the 8.3–11 µm (i.e., 900–1200 cm−1) spectral range by configuring intracavity difference-frequency generation (DFG) using ZnGeP2 (ZGP) in an electronically tuned Cr:ZnSe laser. The broad tunability is achieved with the maximum pulse energies exceeding 100 μJ by combining the electronic wavelength tuning with sligh angle adjustments (Δθ < 0.5°) of ZGP under the spectral noncritical phase-matching condition of the nonlinear material. The proposed DFG method is generalized to give access to a significant fraction of the molecular fingerprint region by utilizing selenide compounds (e.g., AgGaSe2, CdSe) in addition to ZGP, revealing the remarkable potential of ultrabroadband electronic mid-infrared scanning for numerous spectroscopic applications.
Enhancement of the power factor of SnSe by adjusting the crystal and energy band structures
Authors: Li Chunhui , Yuan Hang , Wang Yanfang , Liu Hongquan 
Published: October 2022

A high power factor 686 μW m−1 K−2 at 773 K for the SnSe sample origins from temperature dependence of energy valley degeneration and m*DOSvia Ab initio molecular dynamics (AIMD) simulations on basis of the lattice contraction model.
Senegalia macrostachya seed polysaccharides attenuate inflammation-induced intestinal epithelial barrier dysfunction in a Caco-2 and RAW264.7 macrophage co-culture model by inhibiting the NF-κB/MLCK pathway
Authors: Zongo Abel Wend-Soo , Zogona Daniel , Youssef Mahmoud , Ye Shuxin , Zhan Fuchao , Li Jing , Li Bin 
Published: October 2022

Senegalia macrostachya seed polysaccharides improved the Caco-2 cell monolayer integrity from the inflammatory insult. SMSP2 treatment lowered the inflammatory cytokine release, increased TJ proteins, and downregulated the NF-κB/MLCK pathway.
Voice Alterations, Dysarthria, and Respiratory Derangements in Patients With Parkinson's Disease
Authors: Di Pietro Davide Antonio , Olivares Adriana , Comini Laura , Vezzadini Giuliana , Luisa Alberto , Petrolati Anna , Boccola Sara , Boccali Elisa , Pasotti Monica , Danna Laura , Vitacca Michele 
Published: October 2022

Purpose:Almost 90% of people with Parkinson's disease (PD) develop voice and speech disorders during the course of the disease. Ventilatory dysfunction is one of the main causes. We aimed to evaluate relationships between respiratory impairments and speech/voice changes in PD.Method:At Day 15 from admission, in consecutive clinically stable PD patients in a neurorehabilitation unit, we collected clinical data as follows: comorbidities, PD severity, motor function and balance, respiratory function at rest (including muscle strength and cough ability), during exercise-induced desaturation and at night, voice function (Voice Handicap Index [VHI] and acoustic analysis [Praat]), speech disorders (Robertson Dysarthria Profile [RDP]), and postural abnormalities. Based on an arbitrary RDP cutoff, two groups with different dysarthria degree were identified—moderate–severe versus no–mild dysarthria—and compared.Results:Of 55 patients analyzed (median value Unified Parkinson's Disease Rating Scale Part II 9 and Part III 17), we found significant impairments in inspiratory and expiratory muscle pressure (> 90%, both), exercise tolerance at 6-min walking distance (96%), nocturnal (12.7%) and exercise-induced (21.8%) desaturation, VHI (34%), and Praat Shimmer% (89%). Patients with moderate–severe dysarthria (16% of total sample) had more comorbidities/disabilities and worse respiratory pattern and postural abnormalities (camptocormia) than those with no–mild dysarthria. Moreover, the risk of presenting nocturnal desaturation, reduced peak expiratory flow, and cough ability was about 11, 13, and 8 times higher in the moderate–severe group.Conclusions:Dysarthria and respiratory dysfunction are closely associated in PD patients, particularly nocturnal desaturation and reduced cough ability. In addition, postural condition could be at the base of both respiratory and voice impairments.Supplemental Material:https://doi.org/10.23641/asha.21210944
Local Temporal Regularities in Child-Directed Speech in Spanish
Authors: Pérez-Navarro Jose , Lallier Marie , Clark Catherine , Flanagan Sheila , Goswami Usha 
Published: October 2022

Purpose:
The purpose of this study is to characterize the local (utterance-level) temporal regularities of child-directed speech (CDS) that might facilitate phonological development in Spanish, classically termed a syllable-timed language.

Method:
Eighteen female adults addressed their 4-year-old children versus other adults spontaneously and also read aloud (CDS vs. adult-directed speech [ADS]). We compared CDS and ADS speech productions using a spectrotemporal model (Leong & Goswami, 2015), obtaining three temporal metrics: (a) distribution of modulation energy, (b) temporal regularity of stressed syllables, and (c) syllable rate.

Results:
CDS was characterized by (a) significantly greater modulation energy in the lower frequencies (0.5–4 Hz), (b) more regular rhythmic occurrence of stressed syllables, and (c) a slower syllable rate than ADS, across both spontaneous and read conditions.

Discussion:
CDS is characterized by a robust local temporal organization (i.e., within utterances) with amplitude modulation bands aligning with delta and theta electrophysiological frequency bands, respectively, showing greater phase synchronization than in ADS, facilitating parsing of stress units and syllables. These temporal regularities, together with the slower rate of production of CDS, might support the automatic extraction of phonological units in speech and hence support the phonological development of children.

Supplemental Material:

https://doi.org/10.23641/asha.21210893
Evidence for a Musician Speech-Perception-in-Noise Advantage in School-Age Children
Authors: Benítez-Barrera Carlos R. , Skoe Erika , Huang James , Tharpe Anne Marie 
Published: October 2022

Purpose:
The objective of this study was to evaluate whether child musicians are better at listening to speech in noise (SPIN) than nonmusicians of the same age. In addition, we aimed to explore whether the musician SPIN advantage in children was related to general intelligence (IQ).

Method:
Fifty-one children aged 8.2–11.8 years and with different levels of music training participated in the study. A between-group design and correlational analyses were used to determine differences in SPIN skills as they relate to music training. IQ was used as a covariate to explore the relationship between intelligence and SPIN ability.

Results:
More years of music training were associated with better SPIN skills than fewer years of music training. Furthermore, this difference in SPIN skills remained even when accounting for IQ. These results were found at the group level and also when years of instrument training was treated as a continuous variable (i.e., correlational analyses).

Conclusions:
We confirmed results from previous studies in which child musicians outperformed nonmusicians in SPIN skills. We also showed that this effect was not related to differences in IQ between the musicians and nonmusicians for this cohort of children. However, confirmation of this finding with a cohort of children from more diverse socioeconomic statuses and cognitive profiles is warranted.
Developing speed‐related safety performance indicators from floating car data
Authors: Ambros Jiří , Usami Davide Shingo , Valentová Veronika 
Published: October 2022

AbstractIn the road traffic safety domain there is a need for using proactive (non‐crash‐based) indicators, known as safety performance indicators (SPIs). Traffic speed based on big data (floating car data [FCD]) could help develop network‐wide SPIs, but related knowledge and experience are insufficient so far. The authors attempted to fill this gap by using nationwide Italian FCD to develop speed‐related SPIs and validating their relationship to crashes to see their potential explanatory value. The authors calculated the coefficient of variance (CV), congestion index (CI), and the number of incidents as candidate SPIs. For validation, the authors used linear correlation, crash frequency model, and ranking consistency. Incidents turned out to be the best SPI, especially for motorways.
Advanced control scheme and dynamic phasor modelling of grid‐tied droop‐controlled inverters
Authors: Bendib Ahmed , Kherbachi Abdelhammid , Chouder Aissa , Ahmed Hafiz , Kara Kamel 
Published: October 2022

AbstractThis paper develops an advanced scheme, modelling, and analysis of power flow control intended for grid‐connected droop‐controlled VSIs within a single‐phase microgrid (MG). The proposed control scheme includes a power calculation method based on an enhanced second‐order generalized integrator frequency‐locked loop (ESOGI‐FLL). Contrary to the existing power calculation methods that use low‐pass filter (LPF) with a low cutoff frequency to reject the grid voltage distortion and achieve average power, which may result in reducing the power calculation speed, the involved ESOGI‐FLL can offer a fast transient response and benefits from high filtering capability of sub‐ and low‐order harmonics. In addition, the ESOGI‐FLL provides total rejection of the DC offset, which is another issue that may adversely affect the accuracy of the traditional methods. Thus, this proposal can contribute to improving the speed and accuracy of the power computation and make the power calculation scheme immune to DC disturbance, thereby enhancing the performance of the power control. On the other hand, a dynamic phasor modelling approach is adopted considering the dynamics of the ESOGI‐based power calculation, instead of the LPF transfer function used to describe the power computation dynamic in the related works. The small‐signal model of the grid‐connected VSI power flow considering the line impedance R/X ratio as well as that describing the dynamics of the ESOGI‐based power calculation are derived. Using these models, the closed‐loop model of the grid‐interactive inverter including the power controller dynamics is obtained. The system stability is assessed, which helps to determine properly the controller's gains. A simulation study of a grid‐connected VSI is carried out in MATLAB/Simulink™ and PSIM's processor in the loop (PIL) platforms to assess the effectiveness of the proposed control approach. The results confirm the effectiveness of the proposed control to regulate real and reactive powers with good transient performances when the grid is subject to several working conditions.
Single channel blind source separation of complex signals based on spatial‐temporal fusion deep learning
Authors: Luo Weilin , Yang Ruijuan , Jin Hongbin , Li Xiaobai , Li Hao , Liang Kangbo 
Published: October 2022

AbstractBlind Source Separation (BSS) of complex signals composed of radar, communication and jamming signals is the first step in an integrated electronic system, which requires higher accuracy of separation. However, the traditional Single‐Channel Blind Source Separation (SCBSS) method has low separation accuracy and poor robustness. Aiming at this problem, this paper proposes a SCBSS method based on spatial‐temporal fusion deep learning model. This is a deep neural network model, which realizes spatial‐temporal of mixed signals by integrating Convolutional Neural Network (CNN) and Bidirectional Long Short‐Term Memory Network (BiLSTM). Convolutional Neural Network is used to extract spatial features from input sequences, and BiLSTM is used to mine timing rules of signals. A batch normalisation layer and a dropout layer are added to improve stability and prevent overfitting. The experiments show that the average similarity coefficient of the separated signals is above 0.99 and the Signal‐Distortion Ratio (SDR) is up to 27 dB without noise. When the Signal‐Noise Ratio is 0–20 dB and Jamming‐Signal Ratio is 15 dB, the SDR is 5–30 dB higher than the traditional methods and the single network structure deep learning methods.
Somatisierung, Depressivität und Angst bei Binnenmigrierten
in einer deutschen repräsentativen Stichprobe
Authors: Otten Daniëlle , Heller Ayline , Kasinger Christoph , Brähler Elmar , Sachser Cedric , Altweck Laura , Beutel Manfred E. , Fegert Jörg M. 
Published: October 2022

Zusammenfassung
Ziel der Studie Das Ziel dieser Studie ist es, zu untersuchen, inwiefern
innerdeutsche Migration (Binnenmigration) mit allgemeiner psychischer Belastung,
Somatisierung, Depressivität und Angst assoziiert ist.
Methode Daten aus zwei bevölkerungsrepräsentativen
Befragungen (2020 und 2021; N=4922) wurden genutzt, um mit Hilfe von
linearen Regressionsanalysen den Einfluss von Binnenmigration auf psychische
Gesundheit zu untersuchen. Die allgemeine psychische Belastung mit den
Dimensionen Somatisierung, Depressivität und Angst wurde mit der
Kurzform des Brief Symptom Inventory (BSI-18) erfasst. Außerdem wurden
soziodemographische Merkmale (Geschlecht, Alter, Partnerschaft,
Haushaltsäquivalenzeinkommen und Bildung) kontrolliert.
Ergebnisse Binnenmigrierte vom Osten in den Westen berichteten, auch nach
Kontrolle der soziodemografischen Faktoren, signifikant höhere Werte in
der allgemeinen psychischen Belastung, Somatisierung, Depressivität und
Angst als Personen, die im Osten aufgewachsen und geblieben sind. Es wurden
keine Unterschiede gefunden zwischen Binnenmigrierten vom Westen in den Osten
und Personen, die im Westen aufwuchsen und zur Zeit der Befragung noch im Westen
lebten.
Fazit Der Vergleich von psychischer Gesundheit in den neuen und alten
Bundesländern sollte Binnenmigration als wichtigen Faktor
berücksichtigen. Unsere Ergebnisse zeigen, dass sich insbesondere bei
den Binnenmigrierten von Ost nach West eine erhöhte psychische Belastung
findet.