bluuebunny/crossref_metadata_2025_split huggingface dataset:
Higher pulmonary vein index on computed angiography and optimum surgical resection ensures smooth postoperative recovery in Fallot's tetralogy: Special emphasis on indices of evaluation and Monocusp preparation
Authors: Bhende Vishal V. , Sharma Tanishq S. , Mehta Deepakkumar V. , Subramaniam Krishnan Ganapathy , Kumar Amit , Thacker Jigar P. , Patel Viral B. , Panesar Gurpreet , Soni Kunal , Dhami Kartik B. , Majmudar Hardil P. , Patel Nirja , Pathan Sohilkhan R. 
Published: July 2022

AbstractTetralogy of Fallot (TOF) is a common cyanotic congenital heart disease. Its surgical correction requires ventricular septal defect (VSD) closure and right ventricular outflow tract obstruction (RVOTO) relief, with transannular patch enlargement (TAPE) of the pulmonary valve. The first successful repair of TOF was reported in 1954 and consisted of closure of the VSD through a large right ventriculotomy, and RVOTO relief with TAPE of the pulmonary valve. To predict the intraoperative requirements and postoperative course of patients with this condition, various evaluation indices are available that can provide a good indication of patient prognosis. We performed this study in a male child (age, 1 year, 9 months; weight 8.5 kgs.) who underwent intracardiac repair for TOF as a primary procedure. We calculated the pulmonary vein index (PVI), McGoon ratio, and Nakata index. The McGoon ratio was 1.97, Nakata index was 539.22 mm2/m2, and PVI was 368.12 mm2/m2. The child had an uneventful post‐operative course with no symptoms of low cardiac output syndrome. He was ventilated for 122 h. The length of intensive care unit and hospital stays were 11 and 14 days, respectively. The PVI is a novel indicator offering prognostic indications for pediatric cardiac patients who have undergone surgical correction of TOF.
Hydrosilylative Reduction of CO2 to Formate and Methanol Using a Cobalt Porphyrin‐Based Porous Organic Polymer
Authors: Hlatshwayo Zweli T. , Doremus Jared G. , McGrier Psaras L. 
Published: July 2022

AbstractThe hydrosilylation of carbon dioxide (CO2) has become a useful strategy for selectively producing fine chemicals and alternative fuels sources. However, the development of heterogeneous catalysts that complete this chemical transformation with high catalytic efficiencies are rare. Herein, the synthesis and characterization of a benzobisthiazole‐linked (BBT) Co(II)‐porphyrin‐based porous organic polymer (Co‐BBT‐POP) for hydrosilylative reduction of CO2 to potassium formate and methanol is reported. Co‐BBT‐POP can reduce CO2 to potassium formate in the presence of diphenylsilane (Ph2SiH2) and KF with a turnover number (TON) of 1627. In the presence of tris(pentafluorophenyl)borane (B(C6F5)3) and Ph2SiH2, Co‐BBT‐POP can convert CO2 to methanol with a TON of 4531. Co‐BBT‐POP exhibits great recyclability up to five cycles for both catalytic systems.
Enhanced Metal–Semiconductor Interaction for Photocatalytic Hydrogen‐Evolution Reaction
Authors: Lu Erjun , Zhang Zhixiang , Tao Junqian , Yu Zhiyang , Hou Yidong , Zhang Jinshui 
Published: July 2022

AbstractThe selective immobilization of noble metals right at the place where photogenerated electrons migrate through the photodeposition approach is a unique strategy to load cocatalysts on semiconductors for solar hydrogen production. However, a poor metal–semiconductor interaction is often formed, which not only hinders the interfacial charge transfer, but also results in the easy aggregation and shedding of cocatalysts during photocatalytic reactions. Herein, it is demonstrated that the photodeposited ultrafine metals, such as nanosized Au, can be well stabilized on TiO2 nanocrystallines without sintering by employing a sacrificial carbon coating annealing strategy to strengthen the metal‐support interaction. Benefiting from the improved interfacial contact between Au and TiO2 for fast charge transfer and the well‐preserved size‐dependent catalytic behavior of Au nanoparticles toward hydrogen evolution reaction, the annealed Au/TiO2 exhibits a significant enhanced activity toward photocatalytic H2 production with good durability.
Interplay and Competition Between Two Different Types of Redox‐Active Ligands in Cobalt Complexes: How to Allocate the Electrons?
Authors: Lohmeyer Lukas , Werr Marco , Kaifer Elisabeth , Himmel Hans‐Jörg 
Published: July 2022

AbstractThe field of molecular transition metal complexes with redox‐active ligands is dominated by compounds with one or two units of the same redox‐active ligand; complexes in which different redox‐active ligands are bound to the same metal are uncommon. This work reports the first molecular coordination compounds in which redox‐active bisguanidine or urea azine (biguanidine) ligands as well as oxolene ligands are bound to the same cobalt atom. The combination of two different redox‐active ligands leads to mono‐ as well as unprecedented dinuclear cobalt complexes, being multiple (four or six) center redox systems with intriguing electronic structures, all exhibiting radical ligands. By changing the redox potential of the ligands through derivatisation, the electronic structure of the complexes could be altered in a rational way.
Extended Bayesian endemic–epidemic models to incorporate mobility data into COVID‐19 forecasting
Authors: Douwes‐Schultz Dirk , Sun Shuo , Schmidt Alexandra M. , Moodie Erica E. M. 
Published: July 2022

AbstractForecasting the number of daily COVID‐19 cases is critical in the short‐term planning of hospital and other public resources. One potentially important piece of information for forecasting COVID‐19 cases is mobile device location data that measure the amount of time an individual spends at home. Endemic–epidemic (EE) time series models are recently proposed autoregressive models where the current mean case count is modelled as a weighted average of past case counts multiplied by an autoregressive rate, plus an endemic component. We extend EE models to include a distributed‐lag model in order to investigate the association between mobility and the number of reported COVID‐19 cases; we additionally include a weekly first‐order random walk to capture additional temporal variation. Further, we introduce a shifted negative binomial weighting scheme for the past counts that is more flexible than previously proposed weighting schemes. We perform inference under a Bayesian framework to incorporate parameter uncertainty into model forecasts. We illustrate our methods using data from four US counties.
Breast cancer recurrence after immediate and delayed postmastectomy breast reconstruction—A systematic review and meta‐analysis
Authors: Bargon Claudia A. , Young‐Afat Danny A. , Ikinci Mehmet , Braakenburg Assa , Rakhorst Hinne A. , Mureau Marc A.M. , Verkooijen Helena M. , Doeksen Annemiek 
Published: July 2022

BackgroundOncological safety of different types and timings of PMBR after breast cancer remains controversial. Lack of stratified risk assessment in literature makes current clinical and shared decision‐making complex. This is the first systematic review and meta‐analysis to evaluate differences in oncological outcomes after immediate versus delayed postmastectomy breast reconstruction (PMBR) for autologous and implant‐based PMBR separately.MethodsA systematic literature search was performed in MEDLINE, Cochrane Library, and Embase. The Cochrane Collaboration Handbook and Meta‐analysis Of Observational Studies in Epidemiology checklist were followed for data abstraction. Variability in point estimates attributable to heterogeneity was assessed using I2‐statistic. (Loco)regional breast cancer recurrence rates, distant metastasis rates, and overall breast cancer recurrence rates were pooled in generalized linear mixed models using random effects.ResultsFifty‐five studies, evaluating 14,217 patients, were included. When comparing immediate versus delayed autologous PMBR, weighted average proportions were: 0.03 (95% confidence interval [CI], 0.02–0.03) versus 0.02 (95% CI, 0.01–0.04), respectively, for local recurrences, 0.02 (95% CI, 0.01–0.03) versus 0.02 (95% CI, 0.01–0.03) for regional recurrences, and 0.04 (95% CI, 0.03–0.06) versus 0.01 (95% CI, 0.00–0.03) for locoregional recurrences. No statistically significant differences in weighted average proportions for local, regional and locoregional recurrence rates were observed between immediate and delayed autologous PMBR. Data did not allow comparing weighted average proportions of distant metastases and total breast cancer recurrences after autologous PMBR, and of all outcome measures after implant‐based PMBR.ConclusionsDelayed autologous PMBR leads to similar (loco)regional breast cancer recurrence rates compared to immediate autologous PMBR. This study highlights the paucity of strong evidence on breast cancer recurrence after specific types and timings of PMBR.Lay summery

Oncologic safety of different types and timings of postmastectomy breast reconstruction (PMBR) remains controversial.

Lack of stratified risk assessment in literature makes clinical and shared decision‐making complex.

This meta‐analysis showed that delayed autologous PMBR leads to similar (loco)regional recurrence rates as immediate autologous PMBR. Data did not allow comparing weighted average proportions of distant metastases and total breast cancer recurrence after autologous PMBR, and of all outcome measures after implant‐based PMBR.

Based on current evidence, oncological concerns do not seem a valid reason to withhold patients from certain reconstructive timings or techniques, and patients should equally be offered all reconstructive options they technically qualify for.
Hyper‐parametric improved machine learning models for solar radiation forecasting
Authors: Kumar Mantosh , Namrata Kumari , Kumari Neha 
Published: July 2022

SummarySpatiotemporal solar radiation forecasting is extremely challenging due to its dependence on metrological and environmental factors. Chaotic time‐varying and non‐linearity make the forecasting model more complex. To cater this crucial issue, the paper provides a comprehensive investigation of the deep learning framework for the prediction of the two components of solar irradiation, that is, Diffuse Horizontal Irradiance (DHI) and Direct Normal Irradiance (DNI). Through exploratory data analysis the three recent most prominent deep learning (DL) architecture have been developed and compared with the other classical machine learning (ML) models in terms of the statistical performance accuracy. In our study, DL architecture includes convolutional neural network (CNN) and recurrent neural network (RNN) whereas classical ML models include Random Forest (RF), Support Vector Regression (SVR), Multilayer Perceptron (MLP), Extreme Gradient Boosting (XGB), and K‐Nearest Neighbor (KNN). Additionally, three optimization techniques Grid Search (GS), Random Search (RS), and Bayesian Optimization (BO) have been incorporated for tuning the hyper parameters of the classical ML models to obtain the best results. Based on the rigorous comparative analysis it was found that the CNN model has outperformed all classical machine learning and DL models having lowest mean squared error and highest R‐Squared value with least computational time.
Molecular Dynamics Simulations of Nitric Oxide Scattering Off Graphene
Authors: Greenwood Thomas , Koehler Sven P. K. 
Published: July 2022

AbstractWe performed classical molecular dynamics simulations to model the scattering process of nitric oxide, NO, off graphene supported on gold. This is motivated by our desire to probe the energy transfer in collisions with graphene. Since many of these collision systems comprising of graphene and small molecules have been shown to scatter non‐reactively, classical molecular dynamics appear to describe such systems sufficiently. We directed thousands of trajectories of NO molecules onto graphene along the surface normal, while varying impact position, but also speed, orientation, and rotational excitation of the nitric oxide, and compare the results with experimental data. While experiment and theory do not match quantitatively, we observe agreement that the relative amount of kinetic energy lost during the collision increases with increasing initial kinetic energy of the NO. Furthermore, while at higher collision energies, all NO molecules lose some energy, and the vast majority of NO is scattered back, in contrast at low impact energies, the fraction of those nitric oxide molecules that are trapped at the surface increases, and some NO molecules even gain some kinetic energy during the collision process. The collision energy seems to preferentially go into the collective motion of the carbon atoms in the graphene sheet.
Organic Anion Transporter Gene Variants Associated With Plasma Exposure and Long‐Term Response to Atrasentan in Patients With Diabetic Kidney Disease
Authors: Smeijer J. David , Koomen Jeroen V. , Kohan Donald E. , McMurray John J. V. , Bakris George L. , Correa‐Rotter Ricardo , Hou Fan‐Fan , Kitzman Dalane W. , Makino Hirofumi , Mayer Gert , Nowicki Michal , Perkovic Vlado , Rossing Peter , Tobe Sheldon , Parving Hans‐Henrik , de Zeeuw Dick , Heerspink Hiddo J. L. 
Published: July 2022

Plasma exposure of the endothelin receptor antagonist atrasentan varies between individuals and is associated with nephroprotective effects and the risk of heart failure. We examined the influence of genetic polymorphisms on atrasentan plasma exposure and pharmacodynamic effects. We performed a substudy of the Study of Diabetic Nephropathy With Atrasentan (SONAR) trial which enrolled adults with type 2 diabetes and chronic kidney disease (estimated glomerular filtration rate: 25–75 mL/min/1.73 m2, and a urine albumin‐to‐creatinine ratio of 300–5,000 mg/g). Single nucleotide polymorphisms (SNPs) were determined for prespecified membrane transporters, metabolizing enzymes, and the endothelin‐1 peptide. The associations among genotype, atrasentan plasma exposure, and the effect of atrasentan on the prespecified kidney and heart failure hospitalization (HHF) outcomes was assessed with Cox proportional hazards regression models. Of 3,668 patients randomized, 2,329 (63.5%) consented to genotype analysis. Two SNPs in the SLCO1B1 gene (rs4149056 and rs2306283), encoding the hepatic organic anion transporter 1B1 (OATP1B1), showed the strongest association with atrasentan plasma exposure. Based on their SLCO1B1 genotype, patients were classified into normal (atrasentan area under the plasma‐concentration time curve from zero to infinity (AUC0−inf) 41.3 ng·h/mL) or slow (atrasentan AUC0−inf 49.7 ng·h/mL, P < 0.001) OATP1B1 transporter phenotypes. Among patients with a normal OATP1B1 phenotype, the hazard ratio (HR) with atrasentan for the primary kidney and HHF outcomes were 0.61 (95% confidence interval (CI): 0.45–0.81) and 1.35 (95% CI: 0.84–2.13), respectively. In the slow transporter phenotype, HRs for kidney and HHF outcomes were 1.95 (95% CI: 0.95–4.03, P‐interaction normal phenotype = 0.004), and 4.18 (95% CI: 1.37–12.7, P‐interaction normal phenotype = 0.060), respectively. OATP1B1 gene polymorphisms are associated with significant between‐patient variability in atrasentan plasma exposure and long‐term efficacy and safety.
SP3‐FAIMS‐Enabled High‐Throughput Quantitative Profiling of the Cysteinome
Authors: Desai Heta S. , Yan Tianyang , Backus Keriann M. 
Published: July 2022

AbstractCysteine‐directed chemoproteomic profiling methods yield high‐throughput inventories of redox‐sensitive and ligandable cysteine residues and therefore are enabling techniques for functional biology and drug discovery. However, the cumbersome nature of many sample preparation workflows, the requirements for large amounts of input material, and the modest yields of labeled peptides are limitations that hinder most chemoproteomics studies. Here, we report an optimized chemoproteomic sample‐preparation workflow that combines enhanced peptide labeling with single‐pot, solid‐phase‐enhanced sample preparation (SP3) to improve the recovery of biotinylated peptides, even from small samples. We further tailor our SP3 method to specifically probe the redox proteome, which showcases the utility of the SP3 platform in multistep sample‐preparation workflows. By implementing a customized workflow in the FragPipe computational pipeline, we achieve accurate MS1‐based quantification, including for peptides containing multiple cysteine residues. Collectively these innovations enable enhanced high‐throughput quantitative analysis of the cysteinome. This article includes detailed protocols for cysteine labeling with isotopically labeled iodoacetamide alkyne probes, biotinylation with CuAAC, sample cleanup with SP3, enrichment of cysteines with NeutrAvidin agarose beads, LC‐FAIMS‐MS/MS analysis, and FragPipe‐IonQuant analysis. © 2022 Wiley Periodicals LLC.Basic Protocol 1: Labeling of cysteines in human proteome and SP3‐based sample cleanupAlternate Protocol 1: Labeling of cysteines in human proteome, SP3‐based sample cleanup, and enrichment of cysteines for isoTOP‐ABPP analysisAlternate Protocol 2: Labeling of cysteines in human proteome and SP3‐based sample cleanup for redox proteome analysisBasic Protocol 2: Peptide‐level cysteine enrichmentBasic Protocol 3: LC‐FAIMS‐MS/MS analysisBasic Protocol 4: FragPipe data analysis
Suzuki‐Miyaura Coupling, Heck Alkenylation, and Amidation of DMTr‐Protected 5‐Iodo‐2′‐Deoxyuridine via Palladium‐catalyzed Reactions
Authors: Kori Santosh , Khandagale Deepali , Sanghvi Yogesh S. , Serrano Jose L. , Lozano Pedro , Kapdi Anant R. 
Published: July 2022

AbstractModification of nucleosides via cross‐coupling processes has been carried out extensively on unprotected halonucleosides to produce functionalized nucleosides that are often developed for incorporation into oligonucleotides or used as fluorescent probes. This approach requires protection of the 5′‐OH with the 4,4′‐dimethoxytrityl (DMTr) group, which is complicated and a common cause of reaction failure. Here we report a method for direct functionalization of 5′‐O‐DMTr‐5‐iodo‐2′‐deoxyuridine via Suzuki‐Miyaura cross‐coupling, Heck alkenylation, and carboamidation. This approach facilitates rapid synthesis of a variety of C5‐substituted 5′‐O‐DMTr‐2′‐deoxyuridine derivatives. © 2022 Wiley Periodicals LLC.Basic Protocol 1: Synthesis of the SerrKap palladacycle complexBasic Protocol 2: Suzuki‐Miyaura coupling of 5′‐O‐DMTr‐5‐iodo‐2′‐deoxyuridine using SerrKap palladacycleBasic Protocol 3: Heck coupling of 5′‐O‐DMTr‐5‐iodo‐2′‐deoxyuridine using SerrKap palladacycleBasic Protocol 4: Heck coupling of 5′‐O‐DMTr‐5‐iodo‐2′‐deoxyuridine with Ruth linker using Pd(OAc)2/PTABSBasic Protocol 5: Carbonylative amidation of 5′‐O‐DMTr‐5‐iodo‐2′‐deoxyuridine using Pd(OAc)2/PTABS
Reconfigurable circular patch MIMO antenna for 5G (sub‐6 GHz) and WLAN applications
Authors: Singh Ajit Kumar , Mahto Santosh Kumar , Kumar Praveen , Mistri Raj Kumar , Sinha Rashmi 
Published: July 2022

SummaryIn this article, a circular patch microstrip feed line monopole radiator with a dimension of 15 × 20 × 1.6 mm3 is proposed. An inverted L‐shaped stub is employed in the partial ground plane to achieve optimum bandwidth, radiation pattern and radiation efficiency. To further cover the sub‐6 GHz spectrum (3.4–3.8 GHz) for future 5G communications, a two‐element MIMO antenna configuration is designed by utilising the single element antenna. The edge‐to‐edge distance between the two elements is 0.15λ0 (15 mm). The propose antenna achieved dual‐operating bands of 3.35–4.60 and 4.93–5.19 GHz in the diode (D) = ON state. The minimum isolation between 3.35–3.94 and 4.99–5.16 GHz frequency range is −14.5 and −12.5 dB, respectively, by incorporating a rectangular stub between two inverted L‐shaped stubs. The MIMO antenna has a peak gain of 2.68 dBi at 5.1 GHz frequency. The average total efficiency at port‐1 between 3.35–3.94 and 4.93–5.19 GHz frequency range is 65%, whereas at port‐2 is 75%. In terms of the envelop correlation coefficient (ECC), mean effective gain (MEG) and total active reflection coefficient (TARC), the proposed antenna's diversity performance characteristics are investigated and the obtained values are 0.09, ±3 and −3 dB, respectively. The suggested MIMO antenna is designed on a FR4 substrate with a dielectric constant of 4.4 and an electrical dimension of 0.34λ0 × 0.20λ0 × 0.015λ0 mm3 (where λ0 represents the free space wavelength at lower cut‐off frequency [2.95 GHz]). Therefore, the proposed antenna can find applications for rain or fog as well as for identification and tracking (weather radar) on S‐band at 3 GHz frequency, 5G (sub‐6 GHz) and WLAN applications.
Advances in periodontal stem cells and the regulating niche: From in vitro to in vivo
Authors: Yi Yating , Liu Yinghong , Men Yi , Wang Jun , Zhao Hu 
Published: July 2022

SummaryPeriodontium possesses stem cell populations for its self‐maintenance and regeneration, and has been proved to be an optimal stem cell source for tissue engineering. In vitro studies have shown that stem cells can be isolated from periodontal ligament, alveolar bone marrow and gingiva. In recent years, more studies have focused on identification of periodontal stem cells in vivo. Multiple genetic markers, including Gli1, Prx1, Axin2, αSMA, and LepR, were identified with the lineage tracing approaches. Characteristics, functions, and regulatory mechanisms of specific populations expressing one of these markers have been investigated. In vivo studies also revealed that periodontal stem cells can be regulafrted by different niche and mechanisms including intercellular interactions, ECM and multiple secreted factors. In this review, we summarized the current knowledge of in vitro characteristics and in vivo markers of periodontal stem cells, and discussed the specific regulating niche.
Evaluation of tick control tube month of placement and modifications to increase visitation by small mammals
Authors: Green Kylie D. , Tiffin Hannah S. , Brown Jessica E. , Burgess Edwin R. , Machtinger Erika T. 
Published: July 2022

AbstractTick control tubes are a host‐targeted tick control method targeting immature Ixodes scapularis ticks attached to mice or found within mouse burrows and nests. Tick control tubes contain permethrin‐treated cotton inside cardboard tubes that mice use as nesting material. Ticks attached to mice or present in their burrows are exposed to the treated cotton. However, there have been variable results using these tubes for tick control. Rodent visitation and use of these tubes may influence their effectiveness. The aim of this study was to evaluate small mammal use of tick control tube cotton and to evaluate whether cotton size or odor attractants changed small mammal tube visitations and cotton removal. For the cotton size experiment, three different cotton sizes were used. In the odor attractant experiment, three different odor attractants were used (peanut butter, safflower oil, and vanillin) along with a commercially available tube as a control. A negative control group that had no cotton present in the tube was used for both experiments. Cotton loss was determined by weighing cotton in deployed tubes weekly, and mouse and nontarget species interactions were evaluated using camera‐trap data collected at each site. While the tested cotton sizes and odor attractants did not affect cotton use, mice did increasingly use cotton during cooler fall months, with the highest use of cotton in October and least use in July. These results suggest that mouse use of cotton was not related to cotton size or odor attractants but was dependent on season. This warrants future research on temporal small mammal use of tick control tubes to determine optimal deployment times for tick control.