bluuebunny/crossref_metadata_2025_split huggingface dataset:
Caregiver sensitivity predicts infant language use, and infant language complexity predicts caregiver language complexity, in the context of possible emerging autism
Authors: Smith Jodie , Chetcuti Lacey , Kennedy Lyndel , Varcin Kandice J. , Slonims Vicky , Bent Catherine A. , Green Jonathan , Iacono Teresa , Pillar Sarah , Taylor Carol , Wan Ming Wai , Whitehouse Andrew J. O. , Hudry Kristelle ,   the AICES Team
Published: December 2022

AbstractWhile theory supports bidirectional effects between caregiver sensitivity and language use, and infant language acquisition—both caregiver‐to‐infant and also infant‐to‐caregiver effects—empirical research has chiefly explored the former unidirectional path. In the context of infants showing early signs of autism, we investigated prospective bidirectional associations with 6‐min free‐play interaction samples collected for 103 caregivers and their infants (mean age 12‐months; and followed up 6‐months later). We anticipated that measures of caregiver sensitivity/language input and infant language would show within‐domain temporal stability/continuity, but also that there would be predictive associations from earlier caregiver input to subsequent child language, and vice versa. Caregiver sensitive responsiveness (from the Manchester Assessment of Caregiver–Infant interaction [MACI]) predicted subsequent infant word tokens (i.e., amount of language, coded following the Systematic Analysis of Language Transcripts [SALT]). Further, earlier infant Mean Length of Utterance (MLU; reflecting language complexity, also derived from SALT coding) predicted later caregiver MLU, even when controlling for variability in infant ages and clear within‐domain temporal stability/continuity in key measures (i.e., caregiver sensitive responsiveness and infant word tokens; and infant and caregiver MLU). These data add empirical support to theorization on how caregiver input can be both supportive of, and potentially influenced by, infant capacities, when infants have social‐communication differences and/or communication/language delays suggestive of possible emerging autism.
Unravelling Charge Storage Mechanisms of Lithium, Sodium and Potassium into Graphene‐Coffee Waste Derived Hard Carbon Composites
Authors: Gómez‐Urbano Juan Luis , Leibing Christian , Jauregui María , Darlami‐Magar Sandesh , Saurel Damien , Carriazo Daniel , Balducci Andrea 
Published: December 2022

AbstractHard carbons are promising anode materials for lithium, sodium and potassium‐ion batteries attending to their low cost, simple processing technology and outstanding electrochemical performance. However, their complex structure and controversial carrier‐ion storage mechanisms makes difficult the prediction of their performance. Herein, we investigate the insertion storage mechanisms behind of three different alkali metal ions (lithium, sodium and potassium) into a hard carbon composite obtained by the pyrolysis of coffee waste and graphene oxide. The insertion/deinsertion processes have been monitored by galvanostatic intermittent titration technique and operando X‐Ray diffraction. Results reveal that alkaline metal ions follow an adsorption‐intercalation mechanism where the high potential region can be ascribed to the adsorption of the alkaline metal ions on the surface active sites, while slopping region arises from their intercalation between the pseudo‐graphitic micro‐crystallites. Moreover, the graphene‐coffee waste hard carbon exhibits a notorious capacity retention after 300 charge/discharge cycles in all the alkaline metals evaluated.
The unbroken Krebs cycle. Hormonal‐like regulation and mitochondrial signaling to control mitophagy and prevent cell death
Authors: Franco Rafael , Serrano‐Marín Joan 
Published: December 2022

AbstractThe tricarboxylic acid (TCA) or Krebs cycle, which takes place in prokaryotic cells and in the mitochondria of eukaryotic cells, is central to life on Earth and participates in key events such as energy production and anabolic processes. Despite its relevance, it is not perceived as tightly regulated compared to other key metabolisms such as glycolysis/gluconeogenesis. A better understanding of the functioning of the TCA cycle is crucial due to mitochondrial function impairment in several diseases, especially those that occur with neurodegeneration. This article revisits what is known about the regulation of the Krebs cycle and hypothesizes the need for large‐scale, rapid regulation of TCA cycle enzyme activity. Evidence of mitochondrial enzyme activity regulation by activation/deactivation of protein kinases and phosphatases exists in the literature. Apart from indirect regulation via G protein‐coupled receptors (GPCRs) at the cell surface, signaling upon activation of GPCRs in mitochondrial membranes may lead to a direct regulation of the enzymes of the Krebs cycle. Hormonal‐like regulation by posttranscriptional events mediated by activable kinases and phosphatases deserve proper assessment using isolated mitochondria. Also see the video abstract here: https://youtu.be/aBpDSWiMQyI
Towards understanding the interaction between ultrasound‐pretreated β‐lactoglobulin monomer with resveratrol
Authors: Wang Cuina , Zhao Ru , Liu Jia , Wang Ce 
Published: December 2022

AbstractIncreasingly, studies are using ultrasound to elevate the functional properties of proteins, so the interaction between phenolic compounds and proteins induced by ultrasound needs to be further understood. β‐Lactoglobulin (β‐LG) at pH 8.1, which exists mainly as monomers, was ultrasound treated at 20 kHz ultrasonic intensity and 30% amplitude for 0–5 min and subsequently interacted with resveratrol. Fluorescence data showed that ultrasound pretreatment improved binding constant (Ka) from (1.62 ± 0.45) × 105 to (9.43 ± 0.55) × 105 M−1 and binding number from 1.13 ± 0.09 to 1.28 ± 0.11 in a static quenching mode. Fluorescence resonance energy transfer (FRET) analysis indicated that resveratrol bound to the surface hydrophobic pocket of native and treated proteins with no obvious changes in energy transfer efficiency (E) and Föster's distance (r). Thermodynamic parameters indicated that ultrasonication shifted the main driving force from the hydrophobic force for native and 1‐min treated β‐LG to van der Waals forces and hydrogen bonding for both 3‐min and 5‐min treated proteins. Ultrasonication and resveratrol addition generated significant differences in surface hydrophobicity and the surface charge of the protein (P < 0.05), whereas they had little influence on the secondary structure of β‐LG. Compared with the native β‐LG/resveratrol complex, ultrasound‐treated protein complexes showed significantly stronger 2,2‐azinobis(3‐ethylbenzothiazoline‐6‐sulfonic acid (ABTS) scavenging capacity (P < 0.05), and kept relatively stable after 180‐min irradiation. Data provided by this study can lead to a better comprehension of the structure and molecular events occurring during the complexing process between an ultrasound‐pretreated protein with polyphenol.
The novel hyaluronic acid granular hydrogel attenuates osteoarthritis progression by inhibiting the TLR‐2/NF‐κB signaling pathway through suppressing cellular senescence
Authors: Zhang Chen , Cheng Zhengxiang , Zhou Yuanyuan , Yu Ziyi , Mai Hongyu , Xu Changhao , Zhang Jing , Wang Jiali 
Published: December 2022

AbstractIn patients with mild osteoarthritis (OA), two to four monthly injections are required for 6 months due to the degradation of hyaluronic acid (HA) by peroxidative cleavage and hyaluronidase. However, frequent injections may lead to local infection and also cause inconvenience to patients during the COVID‐19 pandemic. Herein, we developed a novel HA granular hydrogel (n‐HA) with improved degradation resistance. The chemical structure, injectable capability, morphology, rheological properties, biodegradability, and cytocompatibility of the n‐HA were investigated. In addition, the effects of the n‐HA on the senescence‐associated inflammatory responses were studied via flow cytometry, cytochemical staining, Real time quantitative polymerase chain reaction (RT‐qPCR), and western blot analysis. Importantly, the treatment outcome of the n‐HA with one single injection relative to the commercial HA product with four consecutive injections within one treatment course in an OA mouse model underwent anterior cruciate ligament transection (ACLT) was systematically evaluated. Our developed n‐HA exhibited a perfect unification of high crosslink density, good injectability, excellent resistance to enzymatic hydrolysis, satisfactory biocompatibility, and anti‐inflammatory responses through a series of in vitro studies. Compared to the commercial HA product with four consecutive injections, a single injection of n‐HA contributed to equivalent treatment outcomes in an OA mouse model in terms of histological analysis, radiographic, immunohistological, and molecular analysis results. Furthermore, the amelioration effect of the n‐HA on OA development was partially ascribed to the attenuation of chondrocyte senescence, thereby leading to inhibition of TLR‐2 expression and then blockade of NF‐κB activation. Collectively, the n‐HA may be a promising therapeutic alternative to current commercial HA products for OA treatment.
Analysis of factors associated with the prognosis of papillary thyroid cancer and the construction of a survival model
Authors: Guo Peng , Wang Xinhua , Xia Luhua , Shawureding Nadiremu , Hu Zhiheng 
Published: December 2022

AbstractObjectiveTo study the survival prediction value of lymph node ratio (LNR) and preoperative thyroglobulin (Tg) in the prognosis of thyroid papillary carcinoma (PTC).MethodsA total of 495 patients with PTC and lymph node metastasis treated at the Cancer Hospital of Xinjiang Medical University were selected for a retrospective study. The disease‐free survival (DFS) of patients was the follow‐up endpoint. DFS was calculated for all patients. The Cox proportional risk regression model and nomogram were used to predict the survival prognosis of PTC with lymph node metastasis by index. LNR and preoperative Tg level cutoff values were obtained using ROC curves. To express DFS, Kaplan–Meier survival curves were created. Using 3‐ and 5‐year calibration curves and AUC values, the prognostic models' precision and discrimination were assessed. Clinical decision curve analysis was used to forecast clinical benefitability. Finally, the results were validated using internal cross‐validation.ResultsThe cutoff values of LNR and preoperative Tg level were 0.295 and 50.24, respectively, and they were divided into two groups according to the cutoff values. Multifactorial Cox regression models showed that NLNM, LNR, and preoperative Tg level (all p < 0.05) were independent risk factors affecting the prognosis of PTC with lymph node metastasis. Kaplan–Meier curves showed higher DFS rates in the group with low NLNM (<10), LNR (<0.295), and preoperative Tg level (<50.24) groups. The 3‐year and 5‐year calibration curves showed good agreement. A ROC curve analysis was performed on the nomogram model, and its AUC values at 3 and 5 years were, respectively, 0.805 and 0.793. Clinical decision curves indicate good clinical benefit. Finally, internal cross‐validation demonstrated the legitimacy of the prognostic model.ConclusionThe LNR and preoperative Tg levels, in combination with other independent factors, were effective in predicting the survival prognosis for patients with PTC.
Carcinoid tumors outside the abdomen
Authors: Koehler Kenna , Iams Wade T. 
Published: December 2022

AbstractNeuroendocrine tumors (NETs) are epithelial malignancies that can arise from multiple tissues. Gastrointestinal (GI) NETs are the most common; in this review of extra‐abdominal carcinoid tumors, we focus our discussion on bronchial and thymic carcinoid tumors. Bronchial carcinoid tumors comprise a quarter of all NETs and less than 2% of all lung cancers. Thymic carcinoid tumors are extremely rare, accounting for 5% of thymic tumors. Both bronchial and thymic carcinoid tumors are histologically classified as either typical or atypical based on their mitotic rate (less than 2 or 2–10 mitoses per 10 high‐powered fields (HPF), respectively). Both bronchial and thymic carcinoids can present with symptoms of obstruction and potentially carcinoid syndrome. The gold standard of management of bronchial and thymic carcinoid tumors is surgical resection. For patients with advanced disease, first‐line systemic therapy is generally somatostatin analog monotherapy with octreotide or lanreotide. In patients with refractory disease, therapy generally involves peptide receptor radioligand therapy, everolimus, or cytotoxic chemotherapy. There are ongoing, prospective trials comparing the mainstays of systemic therapy for these patients, as well as ongoing evaluations of immune checkpoint inhibitors and multi‐kinase inhibitors. Prognosis for both bronchial and thymic carcinoid tumors depends on histologic grade, local versus invasive disease, and extent of metastases. Herein we provide a summary of the pathophysiologic and clinical background, the current state of the field in diagnosis and management, and note of key ongoing prospective trials for patients with bronchial and thymic carcinoid tumors.
Atypical parathyroid adenoma: A case report
Authors: Besrour Chayma , Rojbi Imen , Mchirgui Nadia , Ben Nacef Ibtissem , Khiari Karima 
Published: December 2022

AbstractThe atypical parathyroid adenoma is a histological diagnosis. It is a parathyroid tumor with atypical histological features different from an adenoma and not similar enough to be considered as a carcinoma. It has an uncertain malignant potential. We report the case of a 55‐year‐old woman, diagnosed with severe hypercalcemia during her follow‐up with the rheumatologist for osteoporosis. The laboratory testing led to the detection of a very important level of parathormone PTH 1325.62 pg/ml (20 fold the normal level), confirming the diagnosis of primary hyperparathyroidism. Investigations of the potential causes led to the presence of a large left inferior parathyroid adenoma. The patient was operated and on the examination of the removed tissue, the histopathological examination concluded to an atypical parathyroid adenoma, and the post‐operatory PTH level dropped significantly to 152 pg/ml. The atypical parathyroid adenoma is a very rare tumor, and the diagnosis is still a challenge, the outcome of patients is not well known yet, there for the surveillance is important and must be regularly.
A case of successful catheter ablation of blocked atrial bigeminy and bradycardia with the recovery of normal sinus rhythm and myocardial reverse remodeling
Authors: Sugiyama Tomomi , Mizutani Yoshiaki , Yanagisawa Satoshi , Kanashiro Masaaki , Inden Yasuya , Murohara Toyoaki 
Published: December 2022

AbstractA 69‐year‐old man presented bradycardia with a constant blocked atrial bigeminy and heart failure. Successful catheter ablation of blocked atrial bigeminy with bradycardia resulted in myocardial reverse remodeling and restoration of the normal sinus rhythm from the ectopic atrial rhythm.
Phosphorus‐Boron Multiple Bonding in the π Radical HBP
Authors: Wang Lina , Jiang Xin , Wang Guanjun , Zeng Xiaoqing , Zhou Mingfei 
Published: December 2022

AbstractThe HBP radical was generated via the reaction of laser ablated boron atom with PH3 in a solid neon matrix, which is identified via IR spectroscopy with isotopic substitutions and quantum chemical calculations. The results show that HBP has a 2Π electronic ground state with a short B−P bond. Bonding analysis indicates that besides an electron‐sharing σ bond, there are two degenerate π bonding orbitals that are occupied by three electrons, resulting in a bond order of two and half between P and B. This is in sharp contrast to the bonding properties of the isovalent HNB, which was characterized to be a N≡B triply bonded σ radical with the unpaired electron locating on the B atom.
On‐line control of emulsion polymerization reactors: A perspective
Authors: Asua José M. 
Published: December 2022

AbstractEmulsion polymerization is the method of choice to produce a wide range of specialty waterborne polymer dispersions. These are multicharacteristic products that should meet conflicting application properties and are produced through a very complex process prone to suffer run‐to‐run irreproducibilities. In a scenario of increasing competition and smaller margins, achieving even more efficient production of better materials in a consistent, cost effective, safe, and environmentally friendly way will only be possible by implementing on‐line control. However, on‐line control is hindered by the lack of sensors able to monitor most of the characteristics of the emulsion polymers. This perspective discusses the state‐of‐the‐art of the on‐line control of emulsion polymerization reactors highlighting the achievements, challenges, and opportunities.
Active design of dynamic GP models for model predictive control using expected improvement
Authors: Sun Pei , Chen Junghui , Xie Lei , Su Hongye 
Published: December 2022

AbstractModelling is a basic and key requirement for model‐based controlling, monitoring, or other process strategies. In non‐linear model predictive control (NMPC), although data‐driven models can be more easily established than first‐principle ones, representative data may not be adequately included in advance to train a complete model, which is an attractive research topic. An actively improved Gaussian process (GP) model building strategy is developed, especially for incomplete models based on the idea of Bayesian optimization. The GP model can be used online as the internal model of model predictive control (MPC) directly. The model‐building objective is based on the expected improvement strategy, which can exploit information gained from the currently gathered data as well as explore uncharted regions. The proposed method is a real‐time design of experiments based on variance information of GP for efficient model building with insufficient initial training data for NMPC. Multi‐step ahead prediction model is considered to give full play to predicting features of NPMC. Besides, a novel disturbance rejection strategy is also proposed based on GP outputs. Two simulation results, including comparisons with some traditional algorithms, are presented to demonstrate the effectiveness of the proposed method.
Effect of Saline Sludge on Anaerobic Digestion of Kitchen Waste for Methane Generation: Modeling and Fertilizer Recovery
Authors: Siddique MD Nurul Islam , Khalid Zaied Bin , Ibrahim M. Zamri Bin , Yahya Muhammad Syarifuddin 
Published: December 2022

AbstractA comparative study of methane recovery by co‐digesting kitchen waste and saline sewage sludge is performed to evaluate its feasibility for waste minimization. The experiment is performed at 37 °C having a mixing speed of 100 rpm and pH of 6.49–7.5 in anaerobic mixed batch reactors. The higher salinity level of the saline sewage sludge reduces the degradation rate of kitchen waste causing an enhancement in soluble chemical oxygen demand by 133% compared with 280% when co‐digesting with the non‐saline sample. The inhibitory behavior is in line with the low volatile solid elimination efficiency of 31% of saline against 55% of non‐saline sludge. The Gompertz modeling, based on the outcomes, fits the cumulative methane generation trends quite well, with a strong correlation coefficient (>0.994). Besides, use of the non‐saline sludge results in three times more methane production than the saline sample digestion. Sludge recovery is 0.07 m3 sludge m−3 wastewater, and water recovery is 0.84 m3 m−3 wastewater. The liquid produced from the fermentation of the slurry can be used for irrigation as well as fertilization. Kitchen waste co‐digestion with both sludge samples has been proven to be a practical method for exploiting the extra digestion capacity of wastewater treatment plants currently in operation, but it is more practical for non‐saline sludge.
PB3Opt: Profile‐based biased Bayesian optimization to select computing clusters on the cloud
Authors: Aparecida Silva Camacho Thais , Martins do Rosario Vanderson , Oliveira Napoli Otávio , Borin Edson 
Published: December 2022

SummaryGiven the wide variety of cloud computing resources for creating high‐performance computer clusters and their complex performance relationship with applications, finding the optimal, or near‐optimal, cluster is a complex problem. As a result, several approaches have been proposed to find the optimal, or near‐optimal, cluster for a given high‐performance computing workload, while reducing the search cost. Among the approaches found in the literature, Bayesian optimization is one of the most known and applied. However, it is still possible to increase its performance by integrating it with historical data related to workload behavior. In this context, we suggest the

approach, which introduces a bias in the Bayesian optimization expected improvement acquisition function. The new acquisition function uses the ranking of computer clusters of previously explored workloads that have the same behavior as the workload being optimized. Our experimental results show that

classifies the behavior of workloads in groups so that the average‐ranking has 88.7% similarity with the ranking of the workload. With this,

finds, for almost 95% of workloads, a solution that is less than or equal to 1.2

worse than the optimal computer cluster. In addition, the

works well when combined with the paramount iterations technique and is capable of reducing the search cost significantly.
Processes Induced by Electrons at Sub‐Ionization Energies Studied by the Correlated Ions‐(Ions/Neutrals) Mass Spectrometry
Authors: Charlieux Florence , Abdoul‐Carime Hassan 
Published: December 2022

AbstractSub‐ionization energy electrons play a substantial role in the early time of (radiation/photo‐) chemistry by generating reactive ions and neutral radicals. As the ions can be easily identified by mass spectrometry methods, information on the neutral species produced in correlation relies mainly on theoretical calculations. Here we show that coupling a double counter‐propagative electron beams with a dual (+/−) time‐of‐flight mass spectrometer is probably the most versatile instrument for studying processes induced by low energy electrons, by providing correlated information between (ion and ion) and (ion and neutral) species. We demonstrate the feasibility of this technique for the prototypical case of carbon tetrachloride, but this method is generally applicable as shown for nitromethane.
4R Research With Impact
Authors: Bruulsema Tom 
Published: December 2022

AbstractIn 2013, the fertilizer industry in North America launched the 4R Research Fund. Members of the fertilizer industry pledged annual commitments of financial support to research connecting 4R practices to impacts. This article briefly summarizes findings and benefits to the industry that have resulted from the financial support directed towards research. Earn 0.5 CEUs in Nutrient Management by reading this article and taking the quiz at https://web.sciencesocieties.org/Learning‐Center/Courses.
Single cell and immunity: Better understanding immune cell heterogeneities with single‐cell sequencing
Authors: Chen Dongsheng , Luo Yonglun , Cheng Genhong 
Published: December 2022

AbstractSingle‐cell sequencing has scientific impacts on better understanding immunity. There is rapid development in single cell‐based databases and analytic tools to provide the potential for clinical and translational discovery. The understanding of single‐cell‐based immunity needs a strong program and solid evidence of preclinical and clinical validation and evaluation. The current special topic issue on single cell and immunity aimed to provide strong communication for the progress of single‐cell‐based studies on immune cell functional diversity in development and disease. The topic has a clear scope on the application of single‐cell sequencing to better understand immune cell heterogeneities, functions, cell‐cell interactions, responses and regulatory roles in systems immunology and diseases.