bluuebunny/crossref_metadata_2025_split huggingface dataset:
SMAP is a pipeline for sample matching in proteogenomics
Authors: Li Ling , Niu Mingming , Erickson Alyssa , Luo Jie , Rowbotham Kincaid , Guo Kai , Huang He , Li Yuxin , Jiang Yi , Hur Junguk , Liu Chunyu , Peng Junmin , Wang Xusheng 
Published: February 2022

AbstractThe integration of genomics and proteomics data (proteogenomics) holds the promise of furthering the in-depth understanding of human disease. However, sample mix-up is a pervasive problem in proteogenomics because of the complexity of sample processing. Here, we present a pipeline for Sample Matching in Proteogenomics (SMAP) to verify sample identity and ensure data integrity. SMAP infers sample-dependent protein-coding variants from quantitative mass spectrometry (MS), and aligns the MS-based proteomic samples with genomic samples by two discriminant scores. Theoretical analysis with simulated data indicates that SMAP is capable of uniquely matching proteomic and genomic samples when ≥20% genotypes of individual samples are available. When SMAP was applied to a large-scale dataset generated by the PsychENCODE BrainGVEX project, 54 samples (19%) were corrected. The correction was further confirmed by ribosome profiling and chromatin sequencing (ATAC-seq) data from the same set of samples. Our results demonstrate that SMAP is an effective tool for sample verification in a large-scale MS-based proteogenomics study. SMAP is publicly available at https://github.com/UND-Wanglab/SMAP, and a web-based version can be accessed at https://smap.shinyapps.io/smap/.
Differential activation mechanisms of lipid GPCRs by lysophosphatidic acid and sphingosine 1-phosphate
Authors: Liu Shian , Paknejad Navid , Zhu Lan , Kihara Yasuyuki , Ray Manisha , Chun Jerold , Liu Wei , Hite Richard K. , Huang Xin-Yun 
Published: February 2022

AbstractLysophospholipids are bioactive lipids and can signal through G-protein-coupled receptors (GPCRs). The best studied lysophospholipids are lysophosphatidic acid (LPA) and sphingosine 1-phosphate (S1P). The mechanisms of lysophospholipid recognition by an active GPCR, and the activations of lysophospholipid GPCR–G-protein complexes remain unclear. Here we report single-particle cryo-EM structures of human S1P receptor 1 (S1P1) and heterotrimeric Gi complexes formed with bound S1P or the multiple sclerosis (MS) treatment drug Siponimod, as well as human LPA receptor 1 (LPA1) and Gi complexes in the presence of LPA. Our structural and functional data provide insights into how LPA and S1P adopt different conformations to interact with their cognate GPCRs, the selectivity of the homologous lipid GPCRs for S1P versus LPA, and the different activation mechanisms of these GPCRs by LPA and S1P. Our studies also reveal specific optimization strategies to improve the MS-treating S1P1-targeting drugs.
On-skin ultrathin and stretchable multifunctional sensor for smart healthcare wearables
Authors: Zhang Shipeng , Chhetry Ashok , Zahed Md. Abu , Sharma Sudeep , Park Chani , Yoon Sanghyuk , Park Jae Y. 
Published: February 2022

AbstractThe flexible and stretchable multifunctional sensors for the precise monitoring of the human physiological health indicators is an emerging requirement of next-generation electronics. However, the integration of multifunctional sensors into a common substrate for simultaneous detection of such signals without interfering with each other is the most challenging work. Here, we propose MXene-Ti3C2Tx and 3, 4-ethylene dioxythiophene (EDOT) deposited on laser-induced graphene (LIG/MXene-Ti3C2Tx@EDOT) composite-based flexible and stretchable multifunctional sensors for strain, temperature, and electrocardiogram (ECG) monitoring. In-situ electrophoretic deposition (EPD) of MXene-Ti3C2Tx@EDOT composite into LIG outperforms high strain sensitivity of 2,075, temperature coefficient of resistance (TCR) of 0.86%, and low skin-contact impedance. The sensor platform is integrated into an ultrathin and highly resilient polystyrene-block-poly(ethylene-ran-butylene)-block-polystyrene (SEBS). Finally, we demonstrate on-site detection of human body-induced deformations and physiological health indicators, such as temperature and ECG. The proposed approach paves a promising route to future wearables for smart skin and healthcare applications.
Untargeted metabolomics-based response analysis of temperature and insecticide exposure in Aedes aegypti
Authors: Singh Poonam , Kumar Pradeep , Pande Veena , Kumar Virendra , Dhiman Ramesh C. 
Published: February 2022

AbstractIn this study, we utilized an untargeted NMR metabolomics approach to identify the vector response in terms of metabolic profiling after temperature and insecticide exposure in comparison with the control. Clearly, temperature and insecticide exposure cause changes in the underlying metabolism, and the NMR metabolomic profile enables a direct examination of the immediate response of the vector to cope up with these changes. The present study was designed in four parts: A-Aedes aegyptiwere exposed to 40 °C for one-hour, DDT-4%, malathion-5%, and deltamethrin-0.05% separately and, part B-D; one-hour exposure at 35 °C and 40 °C temperatures followed by one-hour exposure to insecticide. The resultant metabolite profiles were compared with the control. In response to temperature and insecticide exposure, several metabolites and altered pathways were identified. Citrate, maltose, lipids, Nicotinate, Choline, Pyruvate and β-hydroxybutyrate were found as important components of major biological pathways such as tri-carboxylic acid cycle, branched amino acid degradation, glycolysis/gluconeogenesis, amino acid metabolism, lipid and carbohydrate metabolism, nucleotide PRPP pathway, and phospholipid metabolism. Furthermore, the results also suggest that the changes imposed by exposure to temperature and insecticides individually, are reversed with combined exposure, thus negating the impact of each other and posing a threat to the control of Aedes-borne diseases such as dengue, chikungunya, Zika and yellow fever.
Characterization of the physicochemical properties, antioxidant activity, and antiproliferative activity of natural melanin from S. reiliana
Authors: Fu Xin , Xie Mengxi , Lu Ming , Shi Lin , Shi Taiyuan , Yu Miao 
Published: February 2022

AbstractThis study aimed to characterize the physicochemical properties and stability of L-25 melanin extracted from Sporisorium reilianum (S. reiliana). The results showed that the maximum absorption wavelength of melanin was 215 nm. Reducing agents, heat, light, microwaving, oxidants, and common food additives did not affect the melanin. Additionally, it has a good metal stability except Mn2+. The IR spectra revealed the presence of O–H, N–H, C=O, and C=C bonds as well as carboxyl, alcohol hydroxyl, and phenolic hydroxyl groups and a pyran ring. L-25 melanin could be defined as DL-hydroxy phenylalanine (DOPA)-melanin. The antioxidant and antiproliferative were also measured. The melanin has a specific stability and high antioxidant activity, including a strong DPPH free radical scavenging ability, and protected damaged HepG2 cells by reducing reactive oxygen species, malondialdehyde, and lactate dehydrogenase content. In conclusion, S. reilianum represents a novel source of melanin, that could be applied to health food or food additives. Our results show that melanin from S. reilianum is a natural pigment with good stability that has a great prospect of development and application, providing a theoretical basis and methods for its further processing and development as a functional food.
Youth well-being predicts later academic success
Authors: Cárdenas Diana , Lattimore Finnian , Steinberg Daniel , Reynolds Katherine J. 
Published: February 2022

AbstractYoung people worldwide face new challenges as climate change and complex family structures disrupt societies. These challenges impact on youth’s subjective well-being, with evidence of decline across many countries. While the burden of negative well-being on productivity is widely examined amongst adults, its cost among youth remains understudied. The current research comprehensively investigates the relationship between youth subjective well-being and standardized academic test scores. We use highly controlled machine learning models on a moderately-sized high-school student sample (N ~ 3400), with a composite subjective well-being index (composed of depression, anxiety and positive affect), to show that students with greater well-being are more likely to have higher academic scores 7–8 months later (on Numeracy: β* = .033, p = .020). This effect emerges while also accounting for previous test scores and other confounding factors. Further analyses with each well-being measure, suggests that youth who experience greater depression have lower academic achievement (Numeracy: β* = − .045, p = .013; Reading: β* = − .033, p = .028). By quantifying the impact of youth well-being, and in particular of lowering depression, this research highlights its importance for the next generation's health and productivity.
Irrelevant insights make worldviews ring true
Authors: Laukkonen Ruben E , Kaveladze Benjamin T , Protzko John , Tangen Jason M , von Hippel William , Schooler Jonathan W 
Published: February 2022

AbstractOur basic beliefs about reality can be impossible to prove and yet we can feel a strong intuitive conviction about them, as exemplified by insights that imbue an idea with immediate certainty. Here we presented participants with worldview beliefs such as “people’s core qualities are fixed” and simultaneously elicited an aha moment. In the first experiment (N = 3000, which included a direct replication), participants rated worldview beliefs as truer when they solved anagrams and also experienced aha moments. A second experiment (N = 1564) showed that the worldview statement and the aha moment must be perceived simultaneously for this ‘insight misattribution’ effect to occur. These results demonstrate that artificially induced aha moments can make worldview beliefs seem truer, possibly because humans partially rely on feelings of insight to appraise an idea’s veracity. Feelings of insight are therefore not epiphenomenal and should be investigated for their effects on decisions, beliefs, and delusions.
Radiochemical analysis of the drain water sampled at the exhaust stack shared by Units 1 and 2 of the Fukushima Daiichi Nuclear Power Station
Authors: Shimada Asako , Taniguchi Yoshinori , Kakiuchi Kazuo , Ohira Saki , Iida Yoshihisa , Sugiyama Tomoyuki , Amaya Masaki , Maruyama Yu 
Published: February 2022

AbstractRadioactive gas of Unit 1 of the Fukushima Daiichi Nuclear Power Station was released from the exhaust stack shared by Units 1 and 2 through the venting line on March 12th, 2011. In the present study, radiochemical analysis of drain water sampled at the drain pit of the exhaust stack was conducted to study radionuclides released during venting of the Unit 1. Not only volatile 129I, 134Cs and 137Cs but also 60Co, 90Sr, 125Sb and Unit 1-originated stable Mo isotopes were detected. Although Unit 1-originated stable Mo isotopes were clearly detected, their amounts were quite low compared to Cs, suggesting that the formation of Cs2MoO4 was suppressed under the accident condition. Approximately 90% of iodine existed as I− and 10% as IO3− in November 2020. Furthermore, larger amount of 129I than 137Cs was observed, suggesting major chemical form of 131I was molecular iodine rather than CsI at the accident time. The 134Cs/137Cs radioactivity ratio decay-corrected to March 11th, 2011 was 0.86, supported the results that Unit 1 originated radiocesium in environment has smaller 134Cs/137Cs radioactivity ratio than Unit 2 and 3 originated radiocesium.
Synthesis of two novel bio-based hydrogels using sodium alginate and chitosan and their proficiency in physical immobilization of enzymes
Authors: Shakeri Fateh , Ariaeenejad Shohreh , Ghollasi Marzieh , Motamedi Elaheh 
Published: February 2022

AbstractHerein, four novel and bio-based hydrogel samples using sodium alginate (SA) and chitosan (CH) grafted with acrylamide (AAm) and glycidyl methacrylate (GMA) and their reinforced nanocomposites with graphene oxide (GO) were synthesized and coded as SA-g-(AAm-co-GMA), CH-g-(AAm-co-GMA), GO/SA-g-(AAm-co-GMA), and GO/CH-g-(AAm-co-GMA), respectively. The morphology, net charge, and water absorption capacity of samples were entirely changed by switching the biopolymer from SA to CH and adding a nano-filler. The proficiencies of hydrogels were compared in the immobilization of a model metagenomic-derived xylanase (PersiXyn9). The best performance was observed for GO/SA-g-poly(AAm-co-GMA) sample indicating better stabilizing electrostatic attractions between PersiXyn9 and reinforced SA-based hydrogel. Compared to the free enzyme, the immobilized PersiXyn9 on reinforced SA-based hydrogel showed a 110.1% increase in the released reducing sugar and almost double relative activity after 180 min storage. While immobilized enzyme on SA-based hydrogel displayed 58.7% activity after twelve reuse cycles, the enzyme on CH-based carrier just retained 8.5% activity after similar runs.
Impact of short school closures (1–5 days) on overall academic performance of schools in California
Authors: Miller Rebecca K. , Hui Iris 
Published: February 2022

AbstractClimate change impacts such as disasters and higher temperatures can disrupt academic learning and reduce academic performance. Here, we use two-ways linear fixed effects regression to estimate the effects of short-term school closures (1–5 days) due to wildfires, natural hazard impacts, infrastructure, and student safety on academic performance in California, focusing on mathematics and English scores from state assessments and college preparatory exams. Wildfires are responsible for the majority of school closures. Wildfires generate significant negative impacts on academic performance among younger students. We primarily find insignificant impacts on academic achievement due to school closures from other causes, including from the interaction between number of closure days and socioeconomic and racial/ethnic makeup of the school, across all causes. The effects of school closures lasting more than one week (6–10 days) are also generally insignificant, except for the negative impacts of wildfire closures on elementary school students. These results suggest that older students are resilient to most unexpected short-term school closures (1–5 days) or that teachers can make up lessons effectively after schoolwide closures.
Estimation of activity concentrations of radionuclides and their hazard indices in coastal plain sand region of Ogun state
Authors: Adewoyin O. O. , Maxwell O. , Akinwumi S. A. , Adagunodo T. A. , Embong Z. , Saeed M. A. 
Published: February 2022

AbstractAssessment of natural background radionuclides emanating from the subsurface geological features was carried out with the use of gamma-ray spectrometry at various locations at one of the secondary school in Canaan land, Ota, Ogun State. The activity concentrations of 226Ra, 232Th and 40K were revealed to be 12.66 ± 0.76–42.33 ± 1.37, 44.96 ± 1.41–128.70 ± 1.56, 31.30 ± 1.18–453.85 ± 2.43 Bq kg−1 respectively. The mean value of 232Th reported higher than the world reference standard of 50 Bq kg−1. Moreover, the stations closest to the school’s laboratory were noticed to be prone to more gamma radiations than the other buildings in the school. Similarly, the results of the radiological parameters estimated varied between 86.04–243.7 Bq kg−1, 40.02–115.4 nGy h−1, 0.049–0.142 mSv y−1 and 0.232–0.658 for Raeq, D(out), AEDE and Hex, respectively. Although, the results of the radiological parameters did not exceed the world safe limits, higher values of these parameters were reported at some stations closer to the school laboratory. It can be concluded that the school laboratory is prone to more gamma radiation than the class rooms and the administrative block. Therefore, the laboratory instructors and staff, who spend longer time in the laboratory, are more liable to the health risk that could result from years of exposure to gamma radiation in the laboratory.
Protocol designs for NOON states
Authors: Grün Daniel S. , Wittmann W. Karin , Ymai Leandro H. , Links Jon , Foerster Angela 
Published: February 2022

AbstractThe ability to reliably prepare non-classical states will play a major role in the realization of quantum technology. NOON states, belonging to the class of Schrödinger cat states, have emerged as a leading candidate for several applications. Here we show how to generate NOON states in a model of dipolar bosons confined to a closed circuit of four sites. This is achieved by designing protocols to transform initial Fock states to NOON states through use of time evolution, application of an external field, and local projective measurements. The evolution time is independent of total particle number, offering an encouraging prospect for scalability. By variation of the external field strength, we demonstrate how the system can be controlled to encode a phase into a NOON state. We also discuss the physical feasibility, via ultracold dipolar atoms in an optical superlattice setup. Our proposal showcases the benefits of quantum integrable systems in the design of protocols.
Facile synthesis of a hyperbranched polymer prodrug as unimolecular micelles for overcoming multidrug resistance
Authors: Li Jie , Liu Peng 
Published: February 2022

Hyperbranched polymer prodrug (HBPP) with high drug content was designed as unimolecular micelles for enhanced intracellular drug delivery via one-pot self-condensing vinyl polymerization (SCVP).
Petahertz charge dynamics in a correlated organic superconductor
Authors: Iwai Shinichiro , Kawakami Yohei , Itoh Hirotake , Yonemitsu Kenji 
Published: February 2022

Unconventional stimulated emission and second harmonic generation (SHG) in an ultrafast no-scattering time window are induced by a nearly single-cycle 6 fs near infrared electric field of 10 MV cm−1 in an organic superconductor (κ-(h-ET)2Cu[N(CN)2]Br).
The Impact of COVID-19 on Illinois Early Intervention Services
Authors: Roberts Megan Y. , Thornhill Liane , Lee Jordan , Zellner Matthew A. , Sudec Laura , Grauzer Jeffrey , Stern Yael S. 
Published: February 2022

Purpose:We sought to understand the extent of the nationwide disruption to Part C Early Intervention services due to COVID-19 and the subsequent shift to telehealth, primarily through a focused examination of providers' perspectives on this disruption in a single state, which is Illinois.Method:To examine the impact of coronavirus disease (COVID-19) on Early Intervention service provision and implementation, 385 Early Intervention Illinois providers completed a web-based survey. Archival data were used to determine changes in number of Illinois Early Intervention referrals following the pandemic onset and to compare Illinois' telehealth and stay-at-home policies to those of other states.Results:The majority (85%) of Illinois Early Intervention providers reported a disruption in service provision during COVID-19. The number of sessions delivered and the number of children per caseload decreased significantly. Provider confidence also decreased significantly. Only 28% of providers reported high confidence with telehealth. Identified benefits of telehealth included increased accessibility and caregiver involvement, whereas limitations included perceived lack of caregiver buy-in. New Illinois Early Intervention referrals and cases were lower during COVID-19 than in the previous year. Prior to 2020, 33 states did not have a permanent reimbursement policy for providing telehealth Early Intervention services. For states with a suspension of in-person Early Intervention services due to COVID-19, time to approval for telehealth reimbursement varied (0–22 days).Conclusions:The shift to telehealth in Illinois resulted in decreases in service provision and provider confidence across disciplines. However, providers identified some benefits to telehealth. Telehealth may represent a means to increase Early Intervention accessibility following the pandemic.Supplemental Material:https://doi.org/10.23641/asha.19119539
The Relationship Between Single-Word Speech Severity and Intelligibility in Childhood Apraxia of Speech
Authors: Chenausky Karen V. , Gagné Danielle , Stipancic Kaila L. , Shield Aaron , Green Jordan R. 
Published: February 2022

Purpose:
The purpose of this study was to investigate the association between perceived single-word speech severity and intelligibility in children with childhood apraxia of speech (CAS), with and without comorbid language impairment (LI), and to investigate the contribution of different CAS signs to perceived single-word speech severity and single-word intelligibility.

Method:
Thirty children with CAS, 18 with comorbid LI, completed the Goldman-Fristoe Test of Articulation–Second Edition (GFTA-2). Trained judges coded children's responses for signs of CAS and percent phonemes correct. Nine listeners, blind to diagnoses, rated speech severity using a visual analog scale. Intelligibility was assessed by comparing listeners' orthographic transcriptions of children's responses to target responses.

Results:
Measures of speech severity (GFTA-2 standard score, number of unique CAS signs, total CAS signs, and mean severity rating) were significantly correlated with measures of intelligibility (GFTA-2 raw score, percent phonemes correct, and mean intelligibility score). Speech severity and intelligibility did not differ significantly between children with and without LI. Only consonant errors contributed significant variability to speech severity. Consonant errors and stress errors contributed significant variability to intelligibility.

Conclusions:
Findings suggest that visual analog scale ratings are a valid and convenient measure of single-word speech severity and that GFTA-2 raw score is an equally convenient measure of single-word intelligibility. The result that consonant errors were by far the major contributor to single-word speech severity and intelligibility in children with CAS, with stress errors also making a small contribution to intelligibility, suggests that consonant accuracy and appropriate lexical stress should be prime therapeutic targets for these children in the context of treatment addressing motor planning/programming, self-monitoring, and self-correcting.

Supplemental Material:

https://doi.org/10.23641/asha.19119350
Classification of complex power quality disturbances based on modified empirical wavelet transform and light gradient boosting machine
Authors: Wu Jianzhang , Mei Fei , Zhang Chenyu , Miao Huiyu , Li Kai , Zheng Jianyong 
Published: February 2022

AbstractAccurate detection and classification of power quality (PQ) disturbances is an essential prerequisite for PQ mitigation. To address this issue, a new PQ assessment framework based on modified empirical wavelet transform (MEWT) and light gradient boosting machine (LightGBM) is proposed here. First, the frequency estimation mechanism and band segmentation rule of empirical wavelet transform (EWT) is modified, which makes EWT suitable for analysing complex PQ signals. Second, based on the PQ disturbance analysis results of MEWT, 8 characteristic curves are defined and statistical features are extracted in both the time and frequency domain. Third, binary relevance‐based LightGBM (BR‐LightGBM) is designed for the multilabel classification of massive PQ events. Considering the impact of input features and model structure, feature selection and hyper parameter optimization are conducted for achieving better classification performance. Finally, extensive experiments based on synthetic data and two groups of measured data show the effectiveness of the proposed method on 48 types of complex PQ disturbances. Compared with other algorithms for multiple PQ signals, the proposed method is fast for computation and performs better in classification accuracy and robustness, which is a prospective alternative for the PQ monitoring system.