bluuebunny/crossref_metadata_2025_split huggingface dataset:
EXTREME VALUES OF THE RANKIN–SELBERG -FUNCTIONS
Authors: CUI CHI , YANG QIYU 
Published: March 2022

AbstractIn this paper, we study the extreme values of the Rankin–Selberg L-functions associated with holomorphic cusp forms in the vertical direction. Assuming the generalised Riemann hypothesis (GRH), we prove that
$$ \begin{align*} \underset{T^{\delta}\leq t\leq T}{\max}\bigg\lvert L\bigg(\frac12+it,f\times f\bigg)\bigg\rvert \geq\exp\bigg(C\sqrt{\frac{\log T\log\log\log T}{\log\log T}}\bigg) \end{align*} $$
with
$C\leq \mathscr {X}\sqrt {1-\delta }$
, where
$\mathscr {X}:=({2}/{\pi })\int _{0}^{\pi /3}\sin ^2\xi \,d\xi $
and
$0\leq \delta <1$
.
A Ghoul at the Gates: Natural Gas Energy and the Environment in Pahlavi Iran, 1960–1979
Authors: Movahedi-Lankarani Ciruce 
Published: March 2022

AbstractIn the 1960s and 1970s, Iranian officials embraced natural gas as a new energy source for their rapidly industrializing society, seeing it as a readily available substitute for the lucrative oil products their country's citizens were consuming in increasing amounts. Reacting to the growing concentrations of smoke and haze in cities, and unable to alter the mountainous terrain and semiarid climate that intensified them, gas seemingly promised to be a technical savior upon which to build an Iran as environmentally sound as it was prosperous, technologically sophisticated, and energy hungry. Pahlavi-era developmental choices were shaped by officials’ concern for deteriorating environmental conditions, the natural factors that compounded the issue, and the interests of private industry. Using archival and published materials collected in Iran, this article focuses on urban air pollution and the fitful efforts to mitigate it through the conversion of industrial facilities to gas.
Different dietary assessment methods, similar conclusions? Comparison of a country’s adherence to food-based dietary guidelines as depicted in two population-based surveys using different dietary assessment methods
Authors: Karavasiloglou Nena , Pestoni Giulia , Dehler Anna , Sych Janice , Faeh David , Rohrmann Sabine 
Published: March 2022

AbstractObjective:Different methods of dietary intake assessment are frequently used to assess a population’s diet. In this study, we aimed to compare the adherence to Swiss food-based dietary guidelines as depicted in two Swiss population-based surveys using different methods of dietary assessment.Design:Two population-based, cross-sectional surveys were compared. In the Swiss Health Survey (SHS), diet was assessed via a short set of questions on specific food groups, while in menuCH by two non-consecutive 24-h dietary recall interviews.Setting:To compare the diet depicted in these surveys, we used the Swiss food-based dietary guidelines on vegetable, fruit, dairy product, meat and meat product, fish and alcohol. The weighted proportion of responders meeting these guidelines was calculated for both surveys and was compared overall and by selected characteristics.Participants:Residents of Switzerland, selected from a stratified random sample of the non-institutionalised residents, who agreed to participate in the respective survey. To ensure comparability between the surveys, the age of the study populations was restricted to 18–75 years.Results:In menuCH, approximately 2 % of responders met ≥4 of the selected Swiss food-based dietary guidelines. In the SHS, using a cruder dietary assessment, the corresponding percentage was 20 %. In both surveys, more women and never smokers were meeting ≥4 food-based dietary guidelines compared to men and current or former smokers, respectively.Conclusions:Our study comparing the diet in two population-based, representative surveys detected large variations in guideline adherence depending on the dietary assessment method used.
Community-based nutrition education and hands-on cooking intervention increases farmers’ market use and vegetable servings
Authors: Metcalfe Jessica Jarick , McCaffrey Jennifer , Schumacher Melissa , Kownacki Caitlin , Prescott Melissa Pflugh 
Published: March 2022

AbstractObjective:The objective of the current study was to evaluate the impact of the Market to MyPlate (M2MP) program on participants’ reported farmers’ market (FM) attitudes and shopping behaviours, frequency of serving vegetables to their families, food resource management behaviours and food security. A secondary objective was to identify facilitators and barriers to shopping at FM and food waste reduction techniques used by low-income families.Design:The current study used a mixed methods evaluation embedded within a cluster randomised trial of the M2MP intervention.Setting:The 7-week M2MP program was delivered at Extension offices and community centres in central Illinois.Participants:Participants included 120 adults and their families. Class cohorts were randomly assigned to one of three treatment groups: (1) nutrition education and cooking classes with produce allocations (PAE,n39); (2) nutrition education and cooking classes only (EO,n36) or (3) control group (n45).Results:Compared with control participants, PAE participants were significantly more likely to report shopping at FM (P= 0·029) and reported serving more vegetables to their families (P= 0·010) (EO participants did not differ from the control group on any outcomes). There were no differences between conditions in survey-based measures of food security or food resource management behaviours. Interview results describe facilitators and barriers to shopping at FM and a variety of food waste reduction techniques (including food placement and food resource management).Conclusions:These findings suggest that fresh produce provision coupled with nutrition and culinary education can positively impact shopping and dietary behaviours.
Use of biochar and crude glycerin as additives in the composting of slaughterhouse waste in static piles
Authors: Leite Brenda Kelly Viana , Orrico Ana Carolina Amorim , Orrico Junior Marco Antonio Previdelli , Aspilcueta Borquis Rusbel Raul , Tomazi Michely , Oliveira Juliana Dias de , Vilela Ranielle Nogueira da Silva , Schwingel Alice Watte 
Published: March 2022

AbstractThis study is aimed to evaluate the efficiency of biochar and crude glycerin as additives in N retention throughout the composting of cattle slaughterhouse waste in static piles receiving forced aeration. There were five treatments (control, biochar accounting for 5 and 10%, and glycerin accounting for 5 and 10%, both at total solids) and four times (20, 50, 70 and 90 days of composting). The slaughterhouse waste was composted with a bulking agent at a ratio of 3:1, and the mixtures of waste and the tested additives were placed in nylon bags. The piles reached thermophilic temperatures soon after the process started and following turnings. The reductions of volatile solids, carbon, hemicellulose, cellulose and lignin were not influenced by the additives, resulting in averages of 69.1, 67.1, 62.1, 51.6 and 35.3%, respectively. The control showed greater N losses (58.38%), compared to the treatments with additives. The inclusions of biochar yielded an average loss of 48.47% N, while 10% of glycerin resulted in the lowest N losses (44.83%). The use of biochar and glycerin as additives in the composting of slaughterhouse waste is recommended in order to decrease N losses and improve the concentration of nutrients, without compromising the biodegradation of organic components.
Frequency Shifting Steady‐State Surface NMR Signals to Avoid Problematic Narrowband‐Noise Sources
Authors: Grombacher D. , Griffiths M. P. , Liu L. , Vang M. Ø. , Larsen J. J. 
Published: March 2022

AbstractRecent developments in surface nuclear magnetic resonance (NMR) based on steady‐state sequences show great enhancements in signal quality and mapping speeds. We demonstrate how manipulating the timing and phase of these sequences can shift the NMR signal away from problematic narrow‐band noise sources, for example, co‐frequency powerline harmonics, or shift narrowband noise sources away from the NMR signal. The spectral separation of the NMR signal from co‐frequency noise sources enables production of high‐quality data under one of the most challenging noise scenarios in surface NMR. We demonstrate the feasibility with surface NMR measurements at a site where the Larmor frequency coincides with a powerline harmonic. We separate the NMR signal and powerline noise by up to 5 Hz and obtain high‐quality data, which are readily inverted. The approach is straightforward to implement, well suited for field processing, and shows great potential to expand the range of conditions allowing surface NMR measurements.
Developing a Plume‐in‐Grid Model for Plume Evolution in the Stratosphere
Authors: Sun Hongwei , Eastham Sebastian , Keith David 
Published: March 2022

AbstractStratospheric emissions from aircraft or rockets are important sources of chemical perturbations. Small‐radius high‐aspect‐ratio plumes from stratospheric emissions are smaller than global Eulerian models' grid cells. To help global Eulerian models resolve subgrid plumes in the stratosphere, a Lagrangian plume model, comprising a Lagrangian trajectory model and an adaptive‐grid plume model with a sequence of plume cross‐section representations (from a highly resolved 2‐D grid to a simplified 1‐D grid based on a tradeoff between the accuracy and computational cost), is created and embedded into a global Eulerian (i.e., GEOS‐Chem) model to establish a multiscale Plume‐in‐Grid (PiG) model. We compare this PiG model to the GEOS‐Chem model based on a 1‐month simulation of continuous inert tracer emissions by aircraft in the stratosphere. In the PiG results, the final injected tracer is more concentrated and approximately 1/3 of the tracer is at concentrations 2–4 orders of magnitude larger compared to the GEOS‐Chem results. The entropy of injected tracer in the PiG results is 6% lower than the GEOS‐Chem results, indicating less tracer mixing. The total product mass from a hypothetical second‐order process (applied to the injected tracer) in the PiG results is 2 orders of magnitude larger than the GEOS‐Chem results. Increasing the GEOS‐Chem model's horizontal resolution 4‐fold is insufficient to resolve this product difference, while requiring over seven times the computational resources of the PiG model. This paper describes the PiG model framework and parameterization of plume physical processes. Chemical and aerosol processes will be introduced in the future.
Quantifying the Effects of Bed Roughness on Transit Time Distributions via Direct Numerical Simulations of Turbulent Hyporheic Exchange
Authors: Shen Guangchen , Yuan Junlin , Phanikumar Mantha S. 
Published: March 2022

AbstractWe report direct numerical simulation (DNS) results of hyporheic exchange for a flat river bed with two different particle roughness textures, at a surface flow friction Reynolds number of 395 and a bed permeability Reynolds number of 2.6. Transit time distributions (TTDs), subsurface flow patterns, and the interfacial volumetric fluxes are discussed. The transit time was quantified using a forward particle tracking method based on pure advection by three‐dimensional, pore‐resolved, time‐mean velocities. Results show that bed roughness induces deep subsurface flow paths that yield a TTD with a power‐law tail. Roughness obstructs the surface flow, creating interfacial pressure variations which induce subsurface flow. Next, the molecular diffusion is accounted for based on a random walk method and is shown to increase transit times regardless of roughness texture. This work demonstrates that particle roughness on a macroscopically flat sediment bed can induce significant hyporheic exchange that is fundamentally similar to that induced by bedforms.
The secretion profile of mesenchymal stem cells and potential applications in treating human diseases
Authors: Han Yuyi , Yang Jianxin , Fang Jiankai , Zhou Yipeng , Candi Eleonora , Wang Jihong , Hua Dong , Shao Changshun , Shi Yufang 
Published: March 2022

AbstractMesenchymal stromal/stem cells (MSCs) possess multi-lineage differentiation and self-renewal potentials. MSCs-based therapies have been widely utilized for the treatment of diverse inflammatory diseases, due to the potent immunoregulatory functions of MSCs. An increasing body of evidence indicates that MSCs exert their therapeutic effects largely through their paracrine actions. Growth factors, cytokines, chemokines, extracellular matrix components, and metabolic products were all found to be functional molecules of MSCs in various therapeutic paradigms. These secretory factors contribute to immune modulation, tissue remodeling, and cellular homeostasis during regeneration. In this review, we summarize and discuss recent advances in our understanding of the secretory behavior of MSCs and the intracellular communication that accounts for their potential in treating human diseases.
The changing landscape for the management of patients with neovascular AMD: brolucizumab in clinical practice
Authors: Pearce Ian , Amoaku Winfried , Bailey Clare , Downey Louise , Gale Richard , Ghanchi Faruque , Hamilton Robin , Mahmood Sajjad , Menon Geeta , Nosek Jenny , Talks James , Yang Yit 
Published: March 2022

AbstractUntreated neovascular age-related macular degeneration (nAMD) can lead to severe and permanent visual impairment. The chronic nature of the disease can have a significant impact on patients’ quality of life and an economic and time burden on medical retina (MR) services, with the care need outweighing the growth of resources that clinical services can access. The introduction of a new treatment into clinical services can be challenging, especially for services that are already under capacity constraints. Guidance for practical implementation is therefore helpful. Roundtable meetings, facilitated by Novartis UK, between a working group of MR experts with experience of leading and managing NHS retinal services in the intravitreal era were conducted between 2020 and 2021. These meetings explored various aspects and challenges of introducing a new anti-vascular endothelial growth factor (VEGF) therapy to the UK medical retina services. Provision of clear expert recommendations and practical guidance nationally, that can be adapted locally as required to support clinicians and healthcare professionals (HCPs), is valuable in supporting the introduction of a new anti-VEGF therapy within the NHS environment. The experts provide ophthalmologic HCPs with a collation of insights and recommendations to support the introduction and delivery of brolucizumab in their local service in the face of current and projected growth in demand for retina care.
Asymmetric peptidoglycan editing generates cell curvature in Bdellovibrio predatory bacteria
Authors: Banks Emma J. , Valdivia-Delgado Mauricio , Biboy Jacob , Wilson Amber , Cadby Ian T. , Vollmer Waldemar , Lambert Carey , Lovering Andrew L. , Sockett R. Elizabeth 
Published: March 2022

AbstractPeptidoglycan hydrolases contribute to the generation of helical cell shape in Campylobacter and Helicobacter bacteria, while cytoskeletal or periskeletal proteins determine the curved, vibrioid cell shape of Caulobacter and Vibrio. Here, we identify a peptidoglycan hydrolase in the vibrioid-shaped predatory bacterium Bdellovibrio bacteriovorus which invades and replicates within the periplasm of Gram-negative prey bacteria. The protein, Bd1075, generates cell curvature in B. bacteriovorus by exerting LD-carboxypeptidase activity upon the predator cell wall as it grows inside spherical prey. Bd1075 localizes to the outer convex face of B. bacteriovorus; this asymmetric localization requires a nuclear transport factor 2-like (NTF2) domain at the protein C-terminus. We solve the crystal structure of Bd1075, which is monomeric with key differences to other LD-carboxypeptidases. Rod-shaped Δbd1075 mutants invade prey more slowly than curved wild-type predators and stretch invaded prey from within. We therefore propose that the vibrioid shape of B. bacteriovorus contributes to predatory fitness.
Siwi cooperates with Par-1 kinase to resolve the autoinhibitory effect of Papi for Siwi-piRISC biogenesis
Authors: Yamada Hiromi , Nishida Kazumichi M. , Iwasaki Yuka W. , Isota Yosuke , Negishi Lumi , Siomi Mikiko C. 
Published: March 2022

AbstractBombyx Papi acts as a scaffold for Siwi-piRISC biogenesis on the mitochondrial surface. Papi binds first to Siwi via the Tudor domain and subsequently to piRNA precursors loaded onto Siwi via the K-homology (KH) domains. This second action depends on phosphorylation of Papi. However, the underlying mechanism remains unknown. Here, we show that Siwi targets Par-1 kinase to Papi to phosphorylate Ser547 in the auxiliary domain. This modification enhances the ability of Papi to bind Siwi-bound piRNA precursors via the KH domains. The Papi S547A mutant bound to Siwi, but evaded phosphorylation by Par-1, abrogating Siwi-piRISC biogenesis. A Papi mutant that lacked the Tudor and auxiliary domains escaped coordinated regulation by Siwi and Par-1 and bound RNAs autonomously. Another Papi mutant that lacked the auxiliary domain bound Siwi but did not bind piRNA precursors. A sophisticated mechanism by which Siwi cooperates with Par-1 kinase to promote Siwi-piRISC biogenesis was uncovered.
Direct investigation of the reorientational dynamics of A-site cations in 2D organic-inorganic hybrid perovskite by solid-state NMR
Authors: Lin Cheng-Chieh , Huang Shing-Jong , Wu Pei-Hao , Chen Tzu-Pei , Huang Chih-Ying , Wang Ying-Chiao , Chen Po-Tuan , Radeva Denitsa , Petrov Ognyan , Gelev Vladimir M. , Sankar Raman , Chen Chia-Chun , Chen Chun-Wei , Yu Tsyr-Yan 
Published: March 2022

AbstractLimited methods are available for investigating the reorientational dynamics of A-site cations in two-dimensional organic–inorganic hybrid perovskites (2D OIHPs), which play a pivotal role in determining their physical properties. Here, we describe an approach to study the dynamics of A-site cations using solid-state NMR and stable isotope labelling. 2H NMR of 2D OIHPs incorporating methyl-d3-ammonium cations (d3-MA) reveals the existence of multiple modes of reorientational motions of MA. Rotational-echo double resonance (REDOR) NMR of 2D OIHPs incorporating 15N- and ¹³C-labeled methylammonium cations (13C,15N-MA) reflects the averaged dipolar coupling between the C and N nuclei undergoing different modes of motions. Our study reveals the interplay between the A-site cation dynamics and the structural rigidity of the organic spacers, so providing a molecular-level insight into the design of 2D OIHPs.
Crystal structure prediction by combining graph network and optimization algorithm
Authors: Cheng Guanjian , Gong Xin-Gao , Yin Wan-Jian 
Published: March 2022

AbstractCrystal structure prediction is a long-standing challenge in condensed matter and chemical science. Here we report a machine-learning approach for crystal structure prediction, in which a graph network (GN) is employed to establish a correlation model between the crystal structure and formation enthalpies at the given database, and an optimization algorithm (OA) is used to accelerate the search for crystal structure with lowest formation enthalpy. The framework of the utilized approach (a database + a GN model + an optimization algorithm) is flexible. We implemented two benchmark databases,i.e., the open quantum materials database (OQMD) and Matbench (MatB), and three OAs,i.e., random searching (RAS), particle-swarm optimization (PSO) and Bayesian optimization (BO), that can predict crystal structures at a given number of atoms in a periodic cell. The comparative studies show that the GN model trained on MatB combined with BO,i.e., GN(MatB)-BO, exhibit the best performance for predicting crystal structures of 29 typical compounds with a computational cost three orders of magnitude less than that required for conventional approaches screening structures through density functional theory calculation. The flexible framework in combination with a materials database, a graph network, and an optimization algorithm may open new avenues for data-driven crystal structural predictions.
Prediction of quality of life in schizophrenia using machine learning models on data from Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) schizophrenia trial
Authors: Beaudoin Mélissa , Hudon Alexandre , Giguère Charles-Edouard , Potvin Stéphane , Dumais Alexandre 
Published: March 2022

AbstractWhile research focus remains mainly on psychotic symptoms, it is questionable whether we are placing enough emphasis on improving the quality of life (QoL) of schizophrenia patients. To date, the predictive power of QoL remained limited. Therefore, this study aimed to accurately predict the QoL within schizophrenia using supervised learning methods. The authors report findings from participants of a large randomized, double-blind clinical trial for schizophrenia treatment. Potential predictors of QoL included all available and non-redundant variables from the dataset. By optimizing parameters, three linear LASSO regressions were calculated (N = 697, 692, and 786), including 44, 47, and 41 variables, with adjusted R-squares ranging from 0.31 to 0.36. Best predictors included social and emotion-related symptoms, neurocognition (processing speed), education, female gender, treatment attitudes, and mental, emotional, and physical health. These results demonstrate that machine learning is an excellent predictive tool to process clinical data. It appears that the patient’s perception of their treatment has an important impact on patients’ QoL and that interventions should consider this aspect.Trial registration: ClinicalTrials.gov Identifier: NCT00014001.
Selection drives convergent gene expression changes during transitions to co-sexuality in haploid sexual systems
Authors: Cossard Guillaume G. , Godfroy Olivier , Nehr Zofia , Cruaud Corinne , Cock J. Mark , Lipinska Agnieszka P. , Coelho Susana M. 
Published: March 2022

AbstractCo-sexuality has evolved repeatedly from unisexual (dioicous) ancestors across a wide range of taxa. However, the molecular changes underpinning this important transition remain unknown, particularly in organisms with haploid sexual systems such as bryophytes, red algae and brown algae. Here we explore four independent events of emergence of co-sexuality from unisexual ancestors in brown algal clades to examine the nature, evolution and degree of convergence of gene expression changes that accompany the breakdown of dioicy. The amounts of male versus female phenotypic differences in dioicous species were not correlated with the extent of sex-biased gene expression, in stark contrast to what is observed in animals. Although sex-biased genes exhibited a high turnover rate during brown alga diversification, some of their predicted functions were conserved across species. Transitions to co-sexuality consistently involved adaptive gene expression shifts and rapid sequence evolution, particularly for male-biased genes. Gene expression in co-sexual species was more similar to that in females rather than males of related dioicous species, suggesting that co-sexuality may have arisen from ancestral females. Finally, extensive convergent gene expression changes, driven by selection, were associated with the transition to co-sexuality. Together, our observations provide insights on how co-sexual systems arise from ancestral, haploid UV sexual systems.