bluuebunny/crossref_metadata_2025_split huggingface dataset:
May We Use Chemical Arguments to Distinguish between Possible Space‐Groups? Description of the Crystal Structure of an Inclusion Compound in Space Groups P1 or P‐1
Authors: Kaftory Menahem , Zouev Irena , Botoshansky Mark , Fridman Natalia , Foxman Bruce M. 
Published: November 2022

AbstractThe structure of the inclusion compound of 1‐(3‐hydroxy‐4‐{(E)‐[(2‐hydroxyphenyl)methylidene]amino}phenyl)ethan‐1‐one – a light‐sensitive guest molecule, with 4,4′‐cyclohexylidenebisphenol as light‐stable host molecule was studied at 293 and 200 K. At room temperature the crystal structure may be described in space group P‐1, with one of the two guest molecules disordered occupying a crystallographic inversion center or in space group P1, avoiding the need for disorder description. One of the ordered guest molecules is connected by H‐bonds to a water molecule and a host molecule. The other guest molecule has the role of filling space. The distinction between the structures in the two space groups is discussed from a crystallographic and from chemical interactions point of view. The crystal structure at low temperature justifies the chemical arguments regarding the true space group.
Embedding learning goals into secondary literacy curriculum: Assessing and implementing teachers' feedback
Authors: Crisco Virginia , Porterfield Anne 
Published: November 2022

AbstractFocusing on a large study of the implementation of secondary English Language Arts curriculum in California and Washington, we assess how teachers use learning goals to support students developing expert learning practices. Highlighting the value of goal setting to support students' agency in learning to write, we describe teachers' reasons for not teaching these strategies more than any other aspect of the curriculum, as well as highlight the strategies of teachers who made learning goals meaningful. We ultimately offer the cycle for cultivating expert learners as a possible solution for professional development to better support goal setting through curricular planning.
MCFSA‐Net: A multi‐scale channel fusion and spatial activation network for retinal vessel segmentation
Authors: Li Rui , Li Zuoyong , Fan Haoyi , Teng Shenghua , Cao Xinrong 
Published: November 2022

AbstractAs the only vascular tissue that can be directly viewed in vivo, retinal vessels are medically important in assisting the diagnosis of ocular and cardiovascular diseases. They generally appear as different morphologies and uneven thickness in fundus images. Therefore, the single‐scale segmentation method may fail to capture abundant morphological features, suffering from the deterioration in vessel segmentation, especially for tiny vessels. To alleviate this issue, we propose a multi‐scale channel fusion and spatial activation network (MCFSA‐Net) for retinal vessel segmentation with emphasis on tiny ones. Specifically, the Hybrid Convolution‐DropBlock (HC‐Drop) is first used to extract deep features of vessels and construct multi‐scale feature maps by progressive down‐sampling. Then, the Channel Cooperative Attention Fusion (CCAF) module is designed to handle different morphological vessels in a multi‐scale manner. Finally, the Global Spatial Activation (GSA) module is introduced to aggregate global feature information for improving the attention on tiny vessels in the spatial domain and realizing effective segmentation for them. Experiments are carried out on three datasets including DRIVE, CHASE_DB1, and STARE. Our retinal vessel segmentation method achieves Accuracy of 96.95%, 97.57%, and 97.83%, and F1 score of 82.67%, 81.82%, and 82.95% in the above datasets, respectively. Qualitative and quantitative analysis show that the proposed method outperforms current advanced vessel segmentation methods, especially for tiny vessels.
“Do the Best You Can with Resources You Have to Offer”: Community stakeholder views on supporting immigrant families
Authors: Edwards Nicole Megan , Isik‐Ercan Zeynep , Lu Huan‐Tang , Fall Madjiguene , Sebti Latifa 
Published: November 2022

AbstractFirst and second‐generation immigrant families of young children in the United States face potential challenges that may be mitigated with stakeholder support in their communities. We examined self‐reported views and behaviors among professionals (n = 76) working with families in a mid‐Atlantic urban community, and whether these views correlated with demographic factors. Over half of respondents were not able/willing to report the number of immigrant families served and over half believed immigrant parents are less likely to advocate for themselves or their child. Participants were fairly split in seeking advice from others and comfort in talking with immigrant families about their culture/needs. It is essential to assess stakeholders' views on perceived roles, roadblocks, and desired supports. This analysis informs efforts to work more collaboratively with community partners to improve outreach to immigrant families during those formative years in a child's development. Implications for research, practice, and policy are discussed.
Management of Helicobacter pylori infection
Authors: Aumpan Natsuda , Mahachai Varocha , Vilaichone Ratha‐korn 
Published: November 2022

AbstractHelicobacter pylori infection exhibits a wide disease spectrum ranging from asymptomatic gastritis, peptic ulcer disease, to gastric cancer. H. pylori can induce dysbiosis of gastric microbiota in the pathway of carcinogenesis and successful eradication can restore gastric homeostasis. Diagnostic testing and treatment for H. pylori infection is recommended in patients with active or past history of peptic ulcer, chronic dyspepsia, chronic non‐steroidal anti‐inflammatory drugs (NSAID) or aspirin use, precancerous gastric lesions, gastric cancer, mucosa‐associated lymphoid tissue (MALT) lymphoma, family history of gastric cancer, family history of peptic ulcers, household family member having active H. pylori infection, iron deficiency anemia, idiopathic thrombocytopenic purpura, or vitamin B12 deficiency. Recommended first‐line regimens for H. pylori eradication are classified according to clarithromycin resistance. In areas of high clarithromycin resistance (≥15%), we recommend 14‐day concomitant therapy or 14‐day bismuth quadruple therapy (BQT) as first‐line regimen. In areas of low clarithromycin resistance (<15%), we recommend 14‐day triple therapy or 14‐day BQT as first‐line treatment. Second‐line regimens are 14‐day levofloxacin triple therapy or 14‐day BQT if BQT is not previously used. For patients with multiple treatment failure, antimicrobial susceptibility testing (AST) should be performed. If AST is not available, we recommend using antibiotics not previously used or for which resistance is unlikely, such as amoxicillin, tetracycline, bismuth, or furazolidone. High‐dose potent proton pump inhibitor or vonoprazan is recommended to achieve adequate acid suppression. Probiotics can be used as an adjuvant treatment to reduce the side effects of antibiotics and enhance eradication rate.
Combination therapy with chitosan/siRNA nanoplexes targeting PDGF‐D and PDGFR‐β reveals anticancer effect in breast cancer
Authors: Şalva Emine , Özbaş Suna , Alan Saadet , Özkan Naziye , Ekentok‐Atıcı Ceyda , Kabasakal Levent , Akbuğa Jülide 
Published: November 2022

AbstractBackgroundPlatelet derived growth factors (PDGF)‐D and the expression of its receptor increase in neoplastic progression of cancer. Co‐silencing of growth factor and receptor can be suggested as an important strategy for effective cancer therapy. In the present study, we hypothesized that suppression of PDGF‐D signaling pathway with small interfering RNAs (siRNAs) targeting both PDGF‐D and PDGF receptor (PDGFR)‐β is a promising strategy for anticancer therapy.MethodsChitosan nanoplexes containing dual and single siRNA were prepared at different weight ratios and controlled by gel retardation assay. Characterization, cellular uptake, gene silencing and invasion studies were performed. The effect of nanoplexes on breast tumor growth, PDGF expression and apoptosis was investigated.ResultsWe have shown that downregulation of PDGF‐D and PDGFR‐β with chitosan/siRNA nanoplex formulations reduced proliferation and invasion in breast cancer cells. In the in vivo breast tumor model, it was determined that the intratumoral administration of chitosan/siPDGF‐D/siPDGFR‐β nanoplexes markedly decreased the tumor volume and PDGF‐D and PDGFR‐β mRNA and protein expression levels and increased apoptosis.ConclusionsAccording to the results obtained, we evaluated the effect of PDGF‐D and PDGFR‐β on breast tumor development and showed that RNAi‐mediated inhibition of this pathway formulated with chitosan nanoplexes can be considered as a new breast cancer therapy strategy.
Dynamic salinity‐induced phase‐inversion conductivity measurements used to characterize alcohol ethoxylate based surfactant/oil/water systems
Authors: Lahasky Samuel H. , Barker Emily M. , Caixeta Guimarães Juliana , da Silva Salvato Rafael Caetano Jardim Pinto 
Published: November 2022

AbstractDynamic conductivity measurements proved to be an effective and rapid method to determine the optimal experimental conditions for a salinity‐induced phase‐inversion from surfactant/oil/water (SOW) systems consisting of nonionic surfactants, more specifically alcohol ethoxylates. This emerging methodology can be used as a rapid screening tool to determine the impact of alcohol ethoxylate surfactants in a SOW solution and was demonstrated to be not only repeatable, but highly comparable to the traditional static method, in which the solutions are added to flat bottom tubes and allowed to equilibrate at a given temperature for extended time periods. Given a set of experimental conditions (oil‐type, temperature, etc.), these dynamic salinity‐induced phase‐inversion (Dy‐SPI) conductivity measurements can be used to determine the optimal salinity (S*) for a given surfactant at a set concentration, as well as its characteristic curvature via a series of experiments with varying oil types. Additionally, Dy‐SPI was used to confirm the previously observed inverse relationship between the concentration of an alcohol ethoxylate and S* under a given set of conditions. What makes this method so unique is the amount of time (30 min to 1 h) and the simplicity of the equipment needed for these Dy‐SPI conductivity measurements, allowing for a rapid screening tool for these SOW parameters.
Open Questions that Can Bridge Intermolecular Interactions and Macroscopic Wetting/Dewetting Behaviors of Thin Films
Authors: Petek Evon S. , Katsumata Reika 
Published: November 2022

AbstractPolymer films and coatings are ubiquitous in nanoscale applications where confined macromolecules experience greater interfacial effects, causing deviations from bulk material properties; however, the fundamental physics dictating their wetting behavior remains poorly understood. This review provides a perspective on thickness‐dependent surface wettability in thin polymer films characterized by critical thickness, where surface energy and contact angle measurements deviate from bulk values. In contrast with dewetting behaviors, which are well‐modeled by van der Waals (vdW) potentials to afford several nanometers of critical thickness, an unexpectedly large critical thickness of ≈100 nm is reported for thin polystyrene films via surface energy and contact angle measurements. This deviation in the critical thickness highlights an opportunity to modify the current theoretical understanding of the vdW potential model. In addition, possible explanations to interpret the long critical length scales are discussed: 1) challenges in sample preparations and contact angle measurements; 2) temperature dependence of surface energy; and 3) the cooperative nature of polymers. This review invites researchers to bridge the knowledge gap between macroscopic behaviors (e.g., wetting/dewetting) and molecular‐level understanding (e.g., vdW potentials) in polymer thin films.
Complete latticeability in vector‐valued sequence spaces
Authors: Botelho Geraldo , Luiz José Lucas P. 
Published: November 2022

AbstractUsing a technique due to Jiménez–Rodríguez, first we prove the complete latticeability of the set of disjoint non‐norm null weakly null sequences and of the set of disjoint non‐norm null regular‐polynomially null sequences in Banach lattices. Then we apply the mother vector technique to prove the complete latticeability of , which implies the complete latticeability of , where E is a Banach lattice and .
Social media engagement and real‐time marketing: Using net‐effects and set‐theoretic approaches to understand audience and content‐related effects
Authors: Santos Susana , Gonçalves Helena Martins , Teles Merícia 
Published: November 2022

AbstractThis study examines how various audience‐related variables and distinct real‐time marketing contents (i.e., predictable and unpredictable real‐time marketing) affect social media engagement. The relations are tested using Structural Equation Modeling (SEM) and fuzzy‐set qualitative comparative analysis (fsQCA), with a convenience sample that was obtained via conducting three online consumer surveys for several different brands. The SEM findings show that intensity of social media usage, self‐brand congruence, and brand‐real‐time marketing moment congruence are all significant in explaining total engagement. Only self‐brand and brand‐moment congruence are relevant with predictable real‐time marketing content, whereas only brand‐moment congruence is significant with unpredictable real‐time marketing. On the other hand, the FsQCA findings show various conditional configurations for both the presence and absence of engagement in each content context, where the individual variables need to be combined with others. The results also show that brand‐moment congruence is more important to explain engagement with unpredictable content in comparison to other variables, and that differences thus exist with distinct content strategies. This research enriches engagement and real‐time marketing lit.erature and the findings can assist content managers in the selection of social media content and in building more profitable consumer‐brand relations.
Circular or angular? How nostalgia affects product shape preference
Authors: Gong Xiushuang , Zhang Honghong , Zhang Xiadan , Wang Yan 
Published: November 2022

AbstractAs an important marketing strategy, nostalgia marketing is widely used by enterprises to attract consumers and influence their decision‐making. Besides, feelings of nostalgia can be easily elicited in people's daily life and exert a great impact on them. Though the effect of nostalgia on consumer behavior has been extensively studied, whether and how nostalgia affects consumer preference for products with certain visual designs remain underexplored. Our research extends this domain by focusing on product shape preference as a new downstream consequence of nostalgia. Five studies (including one field experiment) demonstrate that nostalgia can increase consumer preference for circular‐shaped products, with social connectedness as the underlying driver. Moreover, the indirect effect of nostalgia on circular shape preference via social connectedness is moderated by consumers' current social connections, such that the effect holds true for consumers with a low number of current social connections but is eliminated for those with a high number of current social connections. Together, marketers seeking to increase the sales of circular‐shaped products may use nostalgic elements or cues in marketing campaigns.
Optimization and control for a DC microgrid
Authors: Ornelas‐Tellez Fernando , Ortiz‐Bejar Jose , Rico‐Melgoza J.Jesus , Esquivel Pedro 
Published: November 2022

AbstractThis article contributes with the development of an optimization and control scheme to profitably manage the energy of a microgrid composed of different energy resources. The proposed scheme presents the following two salient characteristics: first, the dynamics of the storage device are included in the optimization model to take advantage of its motion and energy storage capacity, and second, based on the optimization results, a distributed optimal nonlinear control strategy is synthesized to efficiently regulate the power flow into the microgrid components through power converters, where trajectory tracking for the controlled variables can be achieved. The considered microgrid in this article is composed of multiple components, which are associated with renewable power sources (solar, wind, etc.), energy storage devices (battery banks), loads, and the connection with the utility grid for exchanging energy. The optimization model includes the forecasting of available energy, energy prices, load profile, as well as the storage device dynamics of the storage device. Simulation results are presented to demonstrate the satisfactory operation of the microgrid and the performance of the power converters optimal controllers.
Labor Market Returns to MBAs From Less‐Selective Universities: Evidence From a Field Experiment During COVID‐19
Authors: Bennett Christopher T. 
Published: November 2022

AbstractMaster's degree enrollment and debt have increased substantially in recent years, raising important questions about the labor market value of these credentials. Using a field experiment featuring 9,480 job applications submitted during the early months of the COVID‐19 pandemic, I examine employers’ responses to job candidates with a Master of Business Administration (MBA), which represents one‐quarter of all master's degrees in the United States. I focus on MBAs from three types of less‐selective institutions that collectively enroll the vast majority of master's students: for‐profit, online, and regional universities. Despite the substantial time and expense required for these degrees, job candidates with MBAs from all three types of institutions received positive responses from employers at the same rate as candidates who only had a bachelor's degree—even for positions that listed a preference for a master's degree. Additionally, applicants with names suggesting they were Black men received 30 percent fewer positive responses than otherwise equivalent applicants whose names suggested they were White men or women, providing further evidence of racial discrimination in hiring practices.
Molecular dynamics and conduction mechanism of poly(vinyl chloride‐co‐vinyl acetate‐co‐2‐hydroxypropyl acrylate) terpolymer containing ionic liquid
Authors: Elmahdy Mahdy M. , Aldhafeeri Khalid A. , Ahmed Moustafa T. , Azzam Maged A. , Fahmy Tarek 
Published: November 2022

AbstractDielectric spectroscopy (DS) measurements were performed to probe the segmental dynamics and ion mobility of poly(vinyl chloride‐co‐vinyl acetate‐co‐2‐hydroxypropyl acrylate) terpolymer dopped with different amounts of tetrabutylammonium tetrafluoroborate ([TBA] [BF4]) ionic liquid (IL). Differential scanning calorimetry (DSC) was also employed to trace the change in the glass transition temperature (Tg) at different loads of IL. The DSC measurements revealed a remarkable reduction in the PVVH Tg from 344 to 310 K just by adding 20 wt% of IL. The DS measurements revealed three relaxation processes named α, β1, and β2. The α‐process is related to the segmental motion of PVVH while the β1 and β2 are due to the restricted local dynamics of side chains. The segmental relaxation times (α‐relaxation) speed up with increasing the concentration of IL due to the plasticization effect of IL on polymer chains. The temperature dependence of α‐relaxation follows the Vogel‐Fulcher‐Tammann (VFT) relation with dynamic glass transition between 323 and 294 K in agreement with the DSC measurements. The β1 and β2‐relaxations have an Arrhenius temperature dependence. The temperature dependence of ionic conductivity obeys the VFT behavior indicating the coupling between the segmental motion of PVVH chains and ion transport. Polaronic tunneling is the predominant conduction mechanism in PVVH and its composites. The specific capacitance increases with increasing both the temperature and IL concentration.
Prenatal phenotype of FBXL4‐associated encephalomyopathic mitochondrial DNA depletion syndrome‐13
Authors: Saini Neelam , Vijayasree Venkatapuram , Nandury Eshwar Chandra , Dalal Ashwin , Aggarwal Shagun 
Published: November 2022

AbstractFBXL4 ‐associated encephalomyopathic mitochondrial DNA depletion syndrome‐13 (MTDPS13) is a rare genetic disorder characterized by early neonatal onset of encephalopathy, seizures, lactic acidosis, hypotonia, dysmorphism, and severe global developmental delay. Prenatal phenotype of molecularly confirmed MTDPS13 has not been well studied.This is the case report of a non‐consanguineously conceived fetus ascertained first at 20 weeks of gestation with multiple soft markers. Follow‐up fetal ultrasonogram at 26 weeks revealed periventricular cysts, periventricular echogenicity, ventriculomegaly, thin corpus callosum, mega cisterna magna, and large cavum. Fetal MRI confirmed these findings. Postnatally, the baby had clinical and biochemical findings indicative of a mitochondriopathy and died on neonatal day 3. Whole exome sequencing on stored amniotic fluid DNA confirmed the diagnosis of encephalomyopathic mitochondrial DNA depletion syndrome‐13 (MTDPS13). This report presents the prenatal phenotype of this rare mitochondriopathy, which has been recognized primarily in postnatal patients. The brain imaging findings in the reported fetus indicate that MTDPS13 is associated with progressive neurological involvement and brain tissue destructive changes starting as early as the second trimester of pregnancy. The case also raises concerns regarding the association of so‐called soft markers, which were the only initial finding in this case, with severe monogenic diseases.
Identification of regulatory variants of carboxylesterase 1 (CES1): A proof‐of‐concept study for the application of the Allele‐Specific Protein Expression (ASPE) assay in identifying cis‐acting regulatory genetic polymorphisms
Authors: Her Lucy , Shi Jian , Wang Xinwen , He Bing , Smith Logan S. , Jiang Hui , Zhu Hao‐Jie 
Published: November 2022

AbstractIt is challenging to study regulatory genetic variants as gene expression is affected by both genetic polymorphisms and non‐genetic regulators. The mRNA allele‐specific expression (ASE) assay has been increasingly used for the study of cis‐acting regulatory variants because cis‐acting variants affect gene expression in an allele‐specific manner. However, poor correlations between mRNA and protein expressions were observed for many genes, highlighting the importance of studying gene expression regulation at the protein level. In the present study, we conducted a proof‐of‐concept study to utilize a recently developed allele‐specific protein expression (ASPE) assay to identify the cis‐acting regulatory variants of CES1 using a large set of human liver samples. The CES1 gene encodes for carboxylesterase 1 (CES1), the most abundant hepatic hydrolase in humans. Two cis‐acting regulatory variants were found to be significantly associated with CES1 ASPE, CES1 protein expression, and its catalytic activity on enalapril hydrolysis in human livers. Compared to conventional gene expression‐based approaches, ASPE demonstrated an improved statistical power to detect regulatory variants with small effect sizes since allelic protein expression ratios are less prone to the influence of non‐genetic regulators (e.g., diseases and inducers). This study suggests that the ASPE approach is a powerful tool for identifying cis‐regulatory variants.