bluuebunny/crossref_metadata_2025_split huggingface dataset:
Internet memes related to the COVID-19 pandemic as a potential coping mechanism for anxiety
Authors: Akram Umair , Irvine Kamila , Allen Sarah F. , Stevenson Jodie C. , Ellis Jason G. , Drabble Jennifer 
Published: November 2021

AbstractThis study examined whether significantly anxious individuals differed from non-anxious individuals in their perceptual ratings of internet memes related to the Covid-19 pandemic, whilst considering the mediating role of emotion regulation. Eighty individuals presenting clinically significant anxiety symptoms (indicating ≥ 15 on the GAD-7) and 80 non-anxious controls (indicating ≤ 4) rated the emotional valance, humour, relatability, shareability, and offensiveness of 45 Covid-19 internet memes. A measure of emotion regulation difficulties was also completed. The perception of humour, relatability, and shareability were all greater amongst anxious individuals relative to non-anxious controls. These differences were not mediated by emotion regulation deficits. Internet memes related to the current Covid-19 pandemic may tentatively serve as coping mechanism for individuals experiencing severe symptoms of anxiety.
Relationship between diffraction peak, network topology, and amorphous-forming ability in silicon and silica
Authors: Kohara Shinji , Shiga Motoki , Onodera Yohei , Masai Hirokazu , Hirata Akihiko , Murakami Motohiko , Morishita Tetsuya , Kimura Koji , Hayashi Kouichi 
Published: November 2021

AbstractThe network topology in disordered materials is an important structural descriptor for understanding the nature of disorder that is usually hidden in pairwise correlations. Here, we compare the covalent network topology of liquid and solidified silicon (Si) with that of silica (SiO2) on the basis of the analyses of the ring size and cavity distributions and tetrahedral order. We discover that the ring size distributions in amorphous (a)-Si are narrower and the cavity volume ratio is smaller than those in a-SiO2, which is a signature of poor amorphous-forming ability in a-Si. Moreover, a significant difference is found between the liquid topology of Si and that of SiO2. These topological features, which are reflected in diffraction patterns, explain why silica is an amorphous former, whereas it is impossible to prepare bulk a-Si. We conclude that the tetrahedral corner-sharing network of AX2, in which A is a fourfold cation and X is a twofold anion, as indicated by the first sharp diffraction peak, is an important motif for the amorphous-forming ability that can rule out a-Si as an amorphous former. This concept is consistent with the fact that an elemental material cannot form a bulk amorphous phase using melt quenching technique.
Investigating and correlating photoelectrochemical, photocatalytic, and antimicrobial properties of $$\hbox {TiO}_2$$ nanolayers
Authors: Seiß Volker , Helbig Uta , Lösel Ralf , Eichelbaum Maik 
Published: November 2021

AbstractSemiconducting transition metal oxides such as $$\hbox {TiO}_2$$

TiO
2

are promising photo(electro)catalysts for solar water splitting and photoreduction of $$\hbox {CO}_2$$

CO
2

as well as for antibacterial, self-, water and air-cleaning coatings and admixtures in paints, building materials, on window glass or medical devices. In photoelectrocatalytic applications $$\hbox {TiO}_2$$

TiO
2

is usually used as photoanode only catalyzing the oxidation reaction. In coatings and admixtures $$\hbox {TiO}_2$$

TiO
2

works as heterogeneous catalyst and has to catalyze a complete redox cycle. While photoelectrochemical charge transport parameters are usually quite well accessible by electrochemical measurements, the quantitative description of photocatalytic properties is more challenging. Here, we present a systematic structural, photoelectrocatalytic, photocatalytic and antimicrobial study to understand if and how photoelectrochemical parameters can be used to predict the photocatalytic activity of $$\hbox {TiO}_2$$

TiO
2

. For this purpose $$\hbox {TiO}_2$$

TiO
2

thin films on flourine-doped tin oxide substrates were prepared and annealed at temperatures between 200 and 600 $$^{\circ }\hbox {C}$$

∘

C

. The film morphologies and thicknesses were studied by GIXRD, FESEM, and EDX. Photoelectrochemical properties were measured by linear sweep voltammetry, photoelectrochemical impedance spectroscopy, chopped light chronoamperometry, and intensity modulated photocurrent/ photovoltage spectroscopy. For comparison, photocatalytic rate constants were determined by methylene blue degradation and Escherichea coli inactivation and correlated with the deduced photoelectrocatalytic parameters. We found that the respective photoactivities of amorphous and crystalline $$\hbox {TiO}_2$$

TiO
2

nanolayers can be best correlated, if the extracted photoelectrochemical parameters such as charge transfer and recombination rates, charge transfer efficiencies and resistances are measured close to the open circuit potential (OCP). Hence, the interfacial charge transport parameters at the OCP can be indeed used as descriptors for predicting and understanding the photocatalytic activity of $$\hbox {TiO}_2$$

TiO
2

coatings.
Identifying early-measured variables associated with APACHE IVa providing incorrect in-hospital mortality predictions for critical care patients
Authors: Feng Shuo , Dubin Joel A. 
Published: November 2021

AbstractAPACHE IVa provides typically useful and accurate predictions on in-hospital mortality and length of stay for patients in critical care. However, there are factors which may preclude APACHE IVa from reaching its ceiling of predictive accuracy. Our primary aim was to determine which variables available within the first 24 h of a patient’s ICU stay may be indicative of the APACHE IVa scoring system making occasional but potentially illuminating errors in predicting in-hospital mortality. We utilized the publicly available multi-institutional ICU database, eICU, available since 2018, to identify a large observational cohort for our investigation. APACHE IVa scores are provided by eICU for each patient’s ICU stay. We used Lasso logistic regression in an aim to build parsimonious final models, using cross-validation to select the penalization parameter, separately for each of our two responses, i.e., errors, of interest, which are APACHE falsely predicting in-hospital death (Type I error), and APACHE falsely predicting in-hospital survival (Type II error). We then assessed the performance of the models with a random holdout validation sample. While the extremeness of the APACHE prediction led to dependable predictions for preventing either type of error, distinct variables were identified as being strongly associated with the two different types of errors occurring. These included a primary set of predictors consisting of mean SpO2 and worst lactate for predicting Type I errors, and worst albumin and mean heart rate for Type II. In addition, a secondary set of predictors including changes recorded in care limitations for the patient’s treatment plan, worst pH, whether cardiac arrest occurred at admission, and whether vasopressor was provided for predicting Type I error; age, whether the patient was ventilated in day 1, mean respiratory rate, worst lactate, worst blood urea nitrogen test, and mean aperiodic vitals for Type II. The two models also differed in their performance metrics in their holdout validation samples, in large part due to the lower prevalence of Type II errors compared to Type I. The eICU database was a good resource for evaluating our objective, and important recommendations are provided, particularly identifying key variables that could lead to APACHE prediction errors when APACHE scores are sufficiently low to predict in-hospital survival.
HLA-G gene editing in tumor cell lines as a novel alternative in cancer immunotherapy
Authors: Palma María Belén , Tronik-Le Roux Diana , Amín Guadalupe , Castañeda Sheila , Möbbs Alan M. , Scarafia María Agustina , La Greca Alejandro , Daouya Marina , Poras Isabelle , Inda Ana María , Moro Lucía N. , Carosella Edgardo D. , García Marcela N. , Miriuka Santiago G. 
Published: November 2021

AbstractCancer immunotherapies based mainly on the blockade of immune-checkpoint (IC) molecules by anti-IC antibodies offer new alternatives for treatment in oncological diseases. However, a considerable proportion of patients remain unresponsive to them. Hence, the development of novel clinical immunotherapeutic approaches and/or targets are crucial.W In this context, targeting the immune-checkpoint HLA-G/ILT2/ILT4 has caused great interest since it is abnormally expressed in several malignancies generating a tolerogenic microenvironment. Here, we used CRISPR/Cas9 gene editing to block the HLA-G expression in two tumor cell lines expressing HLA-G, including a renal cell carcinoma (RCC7) and a choriocarcinoma (JEG-3). Different sgRNA/Cas9 plasmids targeting HLA-G exon 1 and 2 were transfected in both cell lines. Downregulation of HLA-G was reached to different degrees, including complete silencing. Most importantly, HLA-G − cells triggered a higher in vitro response of immune cells with respect to HLA-G + wild type cells. Altogether, we demonstrated for the first time the HLA-G downregulation through gene editing. We propose this approach as a first step to develop novel clinical immunotherapeutic approaches in cancer.
Acute postoperative pain in 23 procedures of gynaecological surgery analysed in a prospective open registry study on risk factors and consequences for the patient
Authors: Jiménez Cruz Jorge , Kather Angela , Nicolaus Kristin , Rengsberger Matthias , Mothes Anke R. , Schleussner Ekkehard , Meissner Winfried , Runnebaum Ingo B. 
Published: November 2021

AbstractEffective perioperative pain management is essential for optimal patient recovery after surgery and reduces the risk of chronification. However, in clinical practice, perioperative analgesic treatment still needs to be improved and data availability for evidence-based procedure specific analgesic recommendations is insufficient. We aimed to identify procedures related with high pain scores, to evaluate the effect of higher pain intensity on patients and to define patient and intervention related risk factors for increased pain after standard gynaecological and obstetrical surgery. Therefore, we performed a prospective cross-sectional study based on the German registry for quality in postoperative pain (QUIPS). A cohort of 2508 patients receiving surgery between January 2011 and February 2016 in our tertiary referral centre (university departments of gynaecology and obstetrics, respectively) answered a validated pain questionnaire on the first postoperative day. Maximal pain intensity was measured by means of a 11-point numeric rating scale (NRS) and related to procedure, perioperative care as well as patient characteristics. The interventions with the highest reported pain scores were laparoscopic removal of ovarian cysts (NRS of 6.41 ± 2.12) and caesarean section (NRS of 6.98 ± 2.08). Factors associated with higher pain intensity were younger age (OR 1.75, 95% CI 1.65–1.99), chronic pain (OR 2.08, 95% CI 1.65–2.64) and surgery performed outside the regular day shift (OR 1.67, 95% CI 1.09–2.36). Shorter duration of surgery, peridural or local analgesic and preoperative sedation reduced postoperative pain. Patients reporting high pain scores (NRS ≥ 5) showed relevant impairment of daily activities and reduced satisfaction. Caesarean section and minimal invasive procedures were associated with the highest pain scores in the present ranking. Pain management of these procedures has to be reconsidered. Younger age, receiving surgery outside of the regular shifts, chronic pain and the surgical approach itself have a relevant influence on postoperative pain intensity. When reporting pain scores of 5 or more, patients were more likely to have perioperative complications like nausea or vomiting and to be impaired in mobilisation. Registry-based data are useful to identify patients, procedures and critical situations in daily clinical routine, which increase the risk for elevated post-intervention pain. Furthermore, it provides a database for evaluation of new pain management strategies.
Incidence of invasive fungal infection in acute lymphoblastic and acute myelogenous leukemia in the era of antimold prophylaxis
Authors: Oh Sang-Min , Byun Ja Min , Chang Euijin , Kang Chang Kyung , Shin Dong-Yeop , Koh Youngil , Hong Junshik , Kim Taek Soo , Choe Pyoeng Gyun , Park Wan Beom , Kim Nam Joong , Yoon Sung-Soo , Kim Inho , Oh Myoung-don 
Published: November 2021

AbstractThe incidence of invasive fungal infection (IFI) in patients with acute myeloid leukemia (AML) has decreased with the introduction of antimold prophylaxis. Although acute lymphoblastic leukemia (ALL) has a lower risk of IFI than does AML, the incidences of IFI in both AML and ALL in the era of antimold prophylaxis should be re-evaluated. We analyzed adults with AML or ALL who had undergone induction, re-induction, or consolidation chemotherapy from January 2017 to December 2019 at Seoul National University Hospital. Their clinical characteristics during each chemotherapy episode were reviewed, and cases with proven or probable diagnoses were regarded as positive for IFI. Of 552 episodes (393 in AML and 159 in ALL), 40 (7.2%) were IFI events. Of the IFI episodes, 8.1% (12/148) and 5.9% (13/220) (P = 0.856) occurred in cases of ALL without antimold prophylaxis and AML with antimold prophylaxis, respectively. After adjusting for clinical factors, a lack of antimold prophylaxis (adjusted odds ratio [aOR], 3.52; 95% confidence interval [CI], 1.35–9.22; P = 0.010) and a longer duration of neutropenia (per one day, aOR, 1.02; 95% CI, 1.01–1.04; P = 0.001) were independently associated with IFI. In conclusion, the incidence of IFI in ALL without antimold prophylaxis was not lower than that in AML. A lack of antimold prophylaxis and prolonged neutropenia were independent risk factors for IFI. Clinicians should be on guard for detecting IFI in patients with ALL, especially those with risk factors.
Partial protective effects of melatonin on developing brain in a rat model of chorioamnionitis
Authors: Favrais Geraldine , Saliba Elie , Savary Léa , Bodard Sylvie , Gulhan Zuhal , Gressens Pierre , Chalon Sylvie 
Published: November 2021

AbstractMelatonin has shown promising neuroprotective effects due to its anti-oxidant, anti-inflammatory and anti-apoptotic properties, making it a candidate drug for translation to humans in conditions that compromise the developing brain. Our study aimed to explore the impact of prenatal melatonin in an inflammatory/infectious context on GABAergic neurons and on oligodendrocytes (OLs), key cells involved in the encephalopathy of prematurity. An inflammatory/infectious agent (LPS, 300 μg/kg) was injected intraperitoneally (i.p.) to pregnant Wistar rats at gestational day 19 and 20. Melatonin (5 mg/kg) was injected i.p. following the same schedule. Immunostainings focusing on GABAergic neurons, OL lineage and myelination were performed on pup brain sections. Melatonin succeeded in preventing the LPS-induced decrease of GABAergic neurons within the retrospenial cortex, and sustainably promoted GABAergic neurons within the dentate gyrus in the inflammatory/infectious context. However, melatonin did not effectively prevent the LPS-induced alterations on OLs and myelination. Therefore, we demonstrated that melatonin partially prevented the deleterious effects of LPS according to the cell type. The timing of exposure related to the cell maturation stage is likely to be critical to achieve an efficient action of melatonin. Furthermore, it can be speculated that melatonin exerts a modest protective effect on extremely preterm infant brains.
Time-ordering in Heisenberg’s equation of motion as related to spontaneous radiation
Authors: Strycker Benjamin D. 
Published: November 2021

AbstractDespite many years of research into Raman phenomena, the problem of how to include both spontaneous and stimulated Raman scattering into a unified set of partial differential equations persists. The issue is solved by formulating the quantum dynamics in the Heisenberg picture with a rigorous accounting for both time- and normal-ordering of the operators. It is shown how this can be done in a simple, straightforward way. Firstly, the technique is applied to a two-level Raman system, and comparison of analytical and numerical results verifies the approach. A connection to a fully time-dependent Langevin operator method is made for the spontaneous initiation of stimulated Raman scattering. Secondly, the technique is demonstrated for the much-studied two-level atom both in vacuum and in a lossy dielectric medium. It is shown to be fully consistent with accepted theories: using the rotating wave approximation, the Einstein A coefficient for the rate of spontaneous emission from a two-level atom can be derived in a manner parallel to the Weisskopf–Wigner approximation. The Lamb frequency shift is also calculated. It is shown throughout that field operators corresponding to spontaneous radiative terms do not commute with atomic/molecular operators. The approach may prove useful in many areas, including modeling the propagation of next-generation high-energy, high-intensity ultrafast laser pulses as well as spontaneous radiative processes in lossy media.
Radiomics-guided deep neural networks stratify lung adenocarcinoma prognosis from CT scans
Authors: Cho Hwan-ho , Lee Ho Yun , Kim Eunjin , Lee Geewon , Kim Jonghoon , Kwon Junmo , Park Hyunjin 
Published: November 2021

AbstractDeep learning (DL) is a breakthrough technology for medical imaging with high sample size requirements and interpretability issues. Using a pretrained DL model through a radiomics-guided approach, we propose a methodology for stratifying the prognosis of lung adenocarcinomas based on pretreatment CT. Our approach allows us to apply DL with smaller sample size requirements and enhanced interpretability. Baseline radiomics and DL models for the prognosis of lung adenocarcinomas were developed and tested using local (n = 617) cohort. The DL models were further tested in an external validation (n = 70) cohort. The local cohort was divided into training and test cohorts. A radiomics risk score (RRS) was developed using Cox-LASSO. Three pretrained DL networks derived from natural images were used to extract the DL features. The features were further guided using radiomics by retaining those DL features whose correlations with the radiomics features were high and Bonferroni-corrected p-values were low. The retained DL features were subject to a Cox-LASSO when constructing DL risk scores (DRS). The risk groups stratified by the RRS and DRS showed a significant difference in training, testing, and validation cohorts. The DL features were interpreted using existing radiomics features, and the texture features explained the DL features well.
Genome of the estuarine oyster provides insights into climate impact and adaptive plasticity
Authors: Li Ao , Dai He , Guo Ximing , Zhang Ziyan , Zhang Kexin , Wang Chaogang , Wang Xinxing , Wang Wei , Chen Hongju , Li Xumin , Zheng Hongkun , Li Li , Zhang Guofan 
Published: November 2021

AbstractUnderstanding the roles of genetic divergence and phenotypic plasticity in adaptation is central to evolutionary biology and important for assessing adaptive potential of species under climate change. Analysis of a chromosome-level assembly and resequencing of individuals across wide latitude distribution in the estuarine oyster (Crassostrea ariakensis) revealed unexpectedly low genomic diversity and population structures shaped by historical glaciation, geological events and oceanographic forces. Strong selection signals were detected in genes responding to temperature and salinity stress, especially of the expanded solute carrier families, highlighting the importance of gene expansion in environmental adaptation. Genes exhibiting high plasticity showed strong selection in upstream regulatory regions that modulate transcription, indicating selection favoring plasticity. Our findings suggest that genomic variation and population structure in marine bivalves are heavily influenced by climate history and physical forces, and gene expansion and selection may enhance phenotypic plasticity that is critical for the adaptation to rapidly changing environments.
Evolution of Telehealth Technology, Evaluations, and Therapy: Effects of the COVID-19 Pandemic on Pediatric Speech-Language Pathology Services
Authors: Campbell Deborah R. , Goldstein Howard 
Published: November 2021

Purpose:
Telehealth services experienced exponential growth during the COVID-19 pandemic. This survey examined the resulting evolution in the technology, connectivity, implementation of services, and attitudes of pediatric speech-language pathology clinicians using synchronous videoconferencing.

Method:

The
Telehealth Services: Pediatric Provider Survey
participants were 259 speech-language clinicians in a variety of employment settings from across the country and abroad. Analyses identified telehealth barriers eliminated and those that persisted during the pandemic, advantages, and disadvantages of remote delivery of evaluation and treatment services, the most common telehealth technology used by clinicians and their clients to access care, and clinicians' predictions about the optimization and future of telehealth.

Results:
Elimination of regulatory and insurance hurdles allowed children from varying socioeconomic backgrounds living in rural, suburban, and urban areas access to telehealth. Telehealth technology shifted from computers with external hardware and specialized software to commercially available equipment, such as handheld portable devices with built-in audiovisual components and publicly available videoconferencing platforms. However, connectivity of these devices continued to be problematic, and lack of technology prevented some children from accessing care. Judgments about the appropriateness and effectiveness of evaluations and treatments varied based on the age and communication disorder of a child. Although some participants expressed uncertainty about the effectiveness of telehealth compared with in-person care, telehealth was widely recognized as a viable delivery method.

Conclusions:
Although clinicians reported many advantages of telehealth, some barriers identified reported prior to COVID-19 still persist. Clinicians anticipate that new developments have the potential to continue improving telehealth service delivery, bolstering the viability of telehealth long after the COVID-19 pandemic is gone.

Supplemental Material:

https://doi.org/10.23641/asha.16959361
A sparse optimisation method based on cross‐correlation function for chirp signals
Authors: Wei Shuang , Liu Rui , Xu Peng , Long Yanhua , Yang Chunxia , Ying Jun 
Published: November 2021

AbstractThis letter proposes a novel time delay estimation method based on sparse optimisation of the cross‐correlation function to improve the estimation accuracy of delay parameters of chirp signals in multipath environments. In this method, the time delay estimation model is converted into a correlation‐function based model to estimate the parameter of exponent signals with frequency information, and the covariance matrix of such correlation function is solved by a sparse iteration optimisation algorithm abbreviated as CCF‐SPICE. Experimental simulations show that the proposed delay estimation algorithm has a sharper peak with less power leakage compared with the existing SPICE algorithm. Its performance is better than the SPICE algorithm and conventional MUSIC algorithm, especially under low SNR in multipath environments. The MSE performance of the proposed CCF‐SPICE algorithm is closer to Cramer–Rao bounds.