bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design, synthesis, and biological evaluation of a potent PLK4 inhibitor WY29 with 1H‐pyrazolo[3,4‐d]pyrimidine scaffold
Authors: Wang Lin , Sun Yu , Wang Jingkai , Xue Yanli , Sun Yin , Qin Qiaohua , Sun Yixiang , Zhao Dongmei , Cheng Maosheng 
Published: November 2022

AbstractCentriole duplication occurs once per cell cycle and is regulated by Polo‐like kinase 4 (PLK4). Overexpression of PLK4 in somatic cells can lead to the excessive formation of centrioles, directly causing chromosome segregation errors and tumorigenesis. In this study, we described our efforts to develop a series of PLK4 inhibitors with 1H‐pyrazolo[3,4‐d]pyrimidine core, and further structure‐ and receptor‐based design and optimization resulted in a potent inhibitor WY29 (IC50 = 0.027 μM), which exhibited good selectivity to other PLK family members (PLK1‐3). At the cellular level, compound WY29 showed excellent antiproliferative activity against three breast cancer cell lines (MCF‐7, BT474, and MDA‐MB‐231) while weak inhibitory activity was found on normal cell line HUVECs. In addition, the in vitro preliminary drug‐like properties evaluation of compound WY29 showed outstanding stability in human plasma and liver microsomes, and weak inhibitory activity against the major subtypes of human cytochrome P450. Also, the drug‐like properties prediction of compound WY29 displayed remarkable drug‐like properties (drug‐likeness mode score: 1.06). In conclusion, these results support the further development of compound WY29 as a lead compound for PLK4‐targeted anticancer drug discovery.
Enhanced grasshopper optimization algorithm with extreme learning machines for motor‐imagery classification
Authors: Balmuri Kavitha Rani , Madala Srinivasa Rao , Divakarachari Parameshachari Bidare , de Prado Rocío Pérez , Frnda Jaroslav 
Published: November 2022

AbstractIn Brain Computer Interface (BCI), achieving a reliable motor‐imagery classification is a challenging task. The set of discriminative and relevant feature vectors plays a crucial role in classification. In this article, an enhanced optimization technique is implemented for selecting active feature vectors to enhance motor‐imagery classification using Electroencephalography (EEG) signals. After collecting the input EEG signals from BCI competition III‐4a and IV‐2a databases, the 6th‐order butter‐worth filter is employed for eliminating base‐line wander noise from the raw EEG signals. Further, the Variational Mode Decomposition technique is applied for separating the important signal components from the composite EEG signals, and then, the Higher Order Statistic, kurtosis, skewness, standard deviation, and entropy are utilized for feature extraction. The high‐dimensional feature values are given to the Enhanced Grasshopper Optimization Algorithm for optimum feature selection, which are given to the Extreme Learning Machines (ELM) classifier for motor‐imagery classification. Finally, in the resulting section, the optimized ELM model achieved 99.48% and 99.12% of accuracy on the BCI competition III‐4a and IV‐2a databases, where the achieved results are maximum compared to the traditional deep learning models.
Discussion on paper “An Overview of Some Classical Models and Discussion of the Signature‐based Models of Preventive Maintenance”
Authors: Spizzichino Fabio L. 
Published: November 2022

AbstractPossible generalizations of models and techniques of signature‐based preventive Maintenance have been, in particular, advocated in the extended survey recently published on ASMBI. In view of future work in this direction by the reliability community a few conceptual aspects, related with concepts of system signature, will be recalled here.
Brazilian Red Propolis Accelerates Gastric Healing and Reduces Gastric Submucosal Layer Inflammation in Ultrasound‐Monitored Rats
Authors: Boeing Thaise , Monteiro Magalhães de Oliveira Beatriz , Aldana‐Mejía Jennyfer Andrea , Vidal Ccana‐Ccapatinta Gari , Venzon Larissa , Judah Cury Benhur , Santos França Tauani Caroline , de Souza Priscila , Roman Junior Walter Antônio , Mota da Silva Luísa , Kenupp Bastos Jairo 
Published: November 2022

AbstractPropolis has been used for the treatment of gastric disturbances in folk medicine, nevertheless, the gastric healing effects of Brazilian red propolis have not been unveiled. This study aimed to assess the gastric healing effect of the hydroalcoholic extract of red propolis (HERP) in the acetic acid‐induced ulcer model. Rats under acetic acid‐induced‐ulcer were treated with HERP (100 mg/kg, p.o.) twice a day for seven days. Histological changes, oxidative stress, and inflammatory parameters were analyzed in the gastric tissue. Moreover, the gastric wall thickness was measured by ultrasound. The in vitro cytotoxicity of HERP and cellular migration of fibroblasts were evaluated. The treatment with HERP promoted gastric healing, reducing gastric wall thickness, macroscopic lesion area, and histopathological damages compared to the vehicle. Moreover, HERP reduced oxidative stress and inflammation in the gastric tissue but did not change mucin or collagen levels. HERP did not show signs of toxicity either in vivo or in vitro. HERP displayed a healing effect in vivo by reducing oxidative stress and inflammation. These data contribute to validating the popular use of this product in the treatment of gastric disorders and advance scientific knowledge in the search for new drugs for the management of gastric ulcers.
Why complex and high risk percutaneous coronary interventions should be offered to selected octogenarians/nonagenarians
Authors: Allana Salman S. , Brilakis Emmanouil S. 
Published: November 2022

Key Points
Between 2009 and 2017 23.4% of 424,290 elective complex high‐risk percutaneous interventions (CHiP) were performed in patients aged ≥80 years. Octogenarians had the highest in hospital mortality, bleeding events and major adverse cardiovascular and cerebrovascular events.
CHiP can and should be offered to ≥80‐year‐old patients when the potential benefits outweigh the risks.
Careful procedural planning and meticulous execution are important for optimizing the outcomes of CHiP in ≥80‐year‐old patients.
Single‐access technique for Impella‐assisted PCI: How to take hold of Impella by the smooth handle
Authors: Tarantini Giuseppe , Fabris Tommaso 
Published: November 2022

Key Points
An increasing number of complex higher risk indicated patients (CHIP) are referred to percutaneous coronary intervention (PCI) and mechanical circulatory support (MCS) provided by devices like the Impella CP is being increasingly used in such procedures.
Impella CP placement and PCI performance can be achieved through the same vascular access (“single‐access technique”), avoiding vascular complications and bleeding associated with gaining multiple arterial access sites.
When looking for an 8‐Fr system to perform CHIP‐PCI, a sheathless guiding catheter can be directly inserted within the Impella CP sheath, with the use of the Rotaglide™ as a lubricant solution to minimize the friction between the guide catheter and the Impella CP drive shaft.
To infinity and beyond!
Authors: Lucas Victor “Sam” 
Published: November 2022

Key Points
Extracardiac Fontan conduits often narrow over time and can be returned safely to nominal diameter and larger with stents.
Conduit expansion often produces short term benefits. Long‐term benefits seem likely but data are limited.
A conduit pressure gradient at rest is often absent and is not required to identify potential benefit. Understanding of patient selection criteria and procedure timing is evolving.
Photoredox Catalyzed Single C−F Bond Activation of Trifluoromethyl Ketones: A Solvent Controlled Divergent Access ofgem‐Difluoromethylene Containing Scaffolds
Authors: Ghosh Soumen , Qu Zheng‐Wang , Roy Sourav , Grimme Stefan , Chatterjee Indranil 
Published: November 2022

AbstractSelective defluorinative functionalization of trifluoromethyl ketones is a long‐standing challenge owing to the exhaustive mode of the process. To meet the demands for the installation of thegem‐difluoromethylene unit for the construction of the molecular architectures of well‐known pharmaceuticals and agrochemicals, a distinct pathway is thereby highly desirable. Here, a protocol is introduced that allows the divergent synthesis ofgem‐difluoromethylene group containing tetrahydrofuran derivatives and linear ketones via single C−F bond activation of trifluoromethyl ketones using visible‐light photoredox catalysis in the presence of suitable olefins as trapping partner. The choice of appropriate solvent and catalyst plays a significant role in controlling the divergent behavior of this protocol. Highly reducing photo‐excited catalysts are found to be responsible for the generation of α,α‐difluoromethyl ketone (DFMK) radicals as the key intermediate via a SET process. This protocol also results in a high diastereoselectivity towards the formation of partially fluorinated cyclic ketal derivatives with simultaneous construction of one C−C and two C−O bonds. State‐of‐the‐art DFT calculations are performed to address the origin of diastereoselectivity as well as the divergence of this protocol.
Modification of chitosan with cellulose and gelatin for the removal of Cu2+, Fe2+, and Pb2+ from oily wastewater
Authors: Fundji Wato Nathan , Igberase Ephraim , Osifo Peter , Kabuba John 
Published: November 2022

AbstractIn this study, chitosan was modified with cellulose and gelatin for the removal of Cu2+, Fe2+, and Pb2+ from oily wastewater. Chitosan was characterized using Fourier‐transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), and X‐ray diffraction (XRD). Carbon (77.54%), hydrogen (10.30%), oxygen (8.89%), nitrogen (2.74%), and sulphur (0.53%) were found in the organic constitution of the oil utilized, according to elemental analysis. Despite the presence of other metal ions in the used oil and effluent, this study focused solely on Cu2+, Fe2+, and Pb2+. Studies on the removal of Cu2+, Fe2+, and Pb2+ from oily wastewater were conducted, and multiple effect factors such as temperature and pH, time and pH, solvent and pH, temperature and time, temperature and solvent, and time and solvent were evaluated. An adsorption study was performed to remove the heavy metals. The results revealed that the highest percentage removal of Cu2+ was 96.62 (pH = 7.52 and conductivity = −12 mV), of Fe2+ was 97.95 (pH = 6.30 and conductivity = +68 mV), and of Pb2+ was 98.86 (pH = 10.58 and conductivity = −170 mV). To analyze the impacts of experimental factors, experiments were developed using central composite design (CCD) based on response surface methodology (RSM).
Transfer learning and fine‐tuned transfer learning methods' effectiveness analyse in the CNN‐based deep learning models
Authors: Öztürk Celal , Taşyürek Murat , Türkdamar Mehmet Uğur 
Published: November 2022

SummaryObject detection is a type of application that includes computer vision and image processing technologies, which deal with detecting, tracking, and classifying desired objects in images. Computer vision is a field of artificial intelligence that enables computers and systems to derive information from digital images and take action or suggestions based on that information. CNN is one of the current methods of object detection due to its ease of use and GPU‐supported parallel working features. Due to the aim of completing deep learning model training quickly or due to insufficient dataset, many studies using the transfer learning method are carried out in fields such as medicine, agriculture, and weapons. However, there are very few studies that use the fine‐tuning method and compare transfer learning in terms of effectiveness. By paying attention to the balanced distribution of the data, approximately 100 images of each chess piece type were included in the analysis and a dataset of at least 1000 images was created. The without transfer learning fine‐tune, fine‐tuned transfer learning, transfer learning, fully supervised learning (FSL) and weakly supervised learning (WSL) applied models performances compared. Experimental results show that the fine‐tuned transfer learning applied YOLO V4 model produces more accurate results than the other models in FSL and the transfer learning applied Faster R‐CNN model produces more accurate results than the other models in WSL.
Photoresponsive Carbon‐Azobenzene Hybrids: A Promising Material for Energy Devices
Authors: Baby Anjana , John Athira Maria , Balakrishnan Sreeja Puthenveetil 
Published: November 2022

AbstractAdvancements in renewable energy technology have been a hot topic in the field of photoresponsive materials for a sustainable community. Organic compounds that function as photoswitches is being researched and developed for use in a variety of energy storage systems. Azobenzene photoswitches can be used to store and release solar energy in solar thermal fuels. This review draws out the significance of azobenzene as photoswitches and its recent advances in solar thermal fuels. The recent developments of nano carbon templated azobenzene, their interactions and the effect of substituents are highlighted. The review also introduces their applications in solar thermal fuels and concludes with the challenges and future scope of the material. The advancements of solar thermal fuels with cost effective and desired optimal properties can be explored by scientists and engineers from different technological backgrounds.
Social support among individuals with bipolar disorder during euthymic phase: A systematic review
Authors: Studart‐Bottó Paula , Léda‐Rêgo Gabriela , Abbade Pedro , Bandeira Igor D. , Miranda‐Scippa Ângela 
Published: November 2022

AbstractIntroductionIn spite of the recent increase in scientific publications showing an expressive interest in studies about social support, there are still scarce publications regarding this thematic and bipolar disorder, mostly when evaluating the individuals in the state of euthymia. Euthymia referred a state that a bipolar patient does not have signs/symptoms of (hipo)mania or depression, thus assessing individuals in this state may reduce response bias.ObjectiveThe objective of this study is to identify the impact of social support on bipolar disorder in patients in the euthymic phase.MethodsA systematic search of observational studies on PubMed/Medline, PsycINFO, EMBASE, Scopus and Web of Science databases was performed from February 2021 to August 2022.ResultsIn total, seven studies fulfilled the eligibility criteria. According to three studies, bipolar disorder patients had lower social support than healthy controls. Contrastingly, one study showed bipolar patients did not have different social support compared to healthy controls.ConclusionsEven though few papers with low or middle risk of bias were included in this review, we found that not only does social support could act as a protective factor for bipolar patients but also that clinical manifestations of the disorder seem to affect social support. This systematic review suggests the narrowed evidence field with different measures and type of evaluation from studies on social support and bipolar disorder, which highlights the need for further investigations on this theme.
Production of Benzene by the Hydrodemethylation of Toluene with Carbon‐Supported Potassium Hydride
Authors: Chang Fei , Fedorov Alexey 
Published: November 2022

AbstractThe hydrodemethylation (HDM) of toluene to benzene is an industrial process performed at elevated temperatures (≈500 °C and higher). Here, it was reported that heating graphite‐supported potassium hydride (KH/C) with toluene under H2 atmosphere provided benzene already at 125–250 °C. Depending on the H2 pressure, the reaction was either substoichiometric ( ≤11 bar) or catalytic ( ≥50 bar) with respect to KH, indicating that KH may serve as a radical chain initiator. At 250 °C, the selectivity to benzene was 98 and 63 % when using 6 and 80 bar of H2, respectively, owing to the competing formation of cyclohexane and methylcyclohexane at high H2 pressure. The used KH/C material was amenable to recycling without a notable loss in the yield of benzene.
Online platforms' framing around vaping
Authors: Kumar Navin , Chen Keyu , Shi Yiwen , Altice Frederick L. 
Published: November 2022

AbstractIn this paper, we provide a descriptive overview of how vaping is framed differently between various online platforms (Wikipedia, Quora, Medium, Reddit, Stack Exchange, wikiHow, Facebook, and online news media). We provide an overview of >1 million posts and news articles about vaping to study the differences in framing between online platforms. Findings indicate an inconsistent framing around vaping across platforms. Stakeholders may utilize our findings to intervene around the framing of vaping and may design communications campaigns that improve the way society sees vaping, possibly aiding smoking cessation and reducing youth vaping.
Reward mediates the association between engagement in noneating activities and state body dissatisfaction: An ecological momentary assessment study
Authors: Srivastava Paakhi , Felonis Christina R. , Piers Amani D. , Nunez Nicole , Fitzpatrick Brighid , Juarascio Adrienne , Manasse Stephanie 
Published: November 2022

AbstractObjectiveMomentary worsening (i.e., greater than one's average levels) of state body dissatisfaction (BD) has been implicated as a proximal risk factor for eating disorder (ED) behaviors in binge‐spectrum EDs. Yet, research exploring the prospective association between noneating activities in daily life (e.g., chores, self‐care/coping) and momentary state BD remains limited. Understanding the momentary link between engagement in noneating activities and state BD, and pathways through which engagement in said activities influences momentary state BD is critical to informing treatments. The current ecological momentary assessment (EMA) study examined whether (1) engagement in noneating activities at Time 1 prospectively predicted momentary state BD at Time 2 and (2) reward drawn from noneating activities at Time 1 mediates the prospective association between engagement in noneating activities at Time 1 and momentary state BD at Time 2.MethodSixty‐six adults with transdiagnostic binge eating completed an EMA protocol over 7–14 days. Participants received six EMA signals per day (total EMA observations = 4038). Multilevel modeling was used to examine the research questions.ResultsEngagement in an indoor hobby, outdoor recreation, socializing, and self‐care/coping strategies prospectively predicted momentary state BD improvements, while using TV/social media and cooking prospectively predicted momentary state BD worsening. Reward drawn from engagement in these noneating activities mediated the associations.DiscussionIf replicated, these findings suggest that increasing the frequency of certain noneating activities and enhancing their rewarding aspects to improve state BD and decrease ED behavior risk during treatment may be worthy of further exploration.Public SignificanceMomentary worsening of state body dissatisfaction (BD) is a risk factor for eating disorder behaviors in individuals with binge eating. This study found that engaging in certain noneating activities (e.g., socializing) prospectively predicted momentary improvements in state BD, while other noneating activities (e.g., cooking) predicted momentary worsening of state BD. Reward drawn from activities mediated these relations. To improve state BD, treatments should target the frequency of, and reward obtained from these noneating activities.
Adolescent eating disorder treatment outcomes of an in‐person partial hospital program versus a virtual intensive outpatient program
Authors: Van Huysse Jessica L. , Prohaska Natalie , Miller Catherine , Jary Jessica , Sturza Julie , Etsell Katharine , Bravender Terrill 
Published: November 2022

AbstractObjectiveThough virtual outpatient psychotherapy for eating disorders is likely effective, less is known about virtual higher levels of care. The current study examined the clinical outcomes of a family‐based virtual intensive outpatient program (vIOP) for youth with eating disorders which was developed in response to the COVID‐19 pandemic, compared to the same institution's in‐person partial hospital program (PHP).MethodsTreatment outcomes were assessed via chart review in 102 patients between the ages of 9–23 (M = 15.2, SD = 2.5) who were predominantly cisgender female (84.3%) and primarily diagnosed with anorexia nervosa (64.7%) or atypical anorexia (23.5%). Participants were either treated in the in‐person PHP before the pandemic (n = 49) or the vIOP during the pandemic (n = 53). Percent expected body weight (%EBW) was examined at baseline, end of treatment, 3‐months post‐treatment, and 6‐months post‐treatment, as well as the frequency of medical, psychiatric, and residential admissions before, during, and after vIOP or PHP participation.ResultsLinear mixed models demonstrated no effect of treatment modality (in‐person versus virtual) on %EBW over time. The duration of the vIOP was, on average, 12 calendar days longer, though the amount billed for the vIOP was lower. Survival analyses and Cox regression models did not suggest differences in the frequency of hospital and residential treatment admissions during treatment (vIOP: 9.4%, PHP: 10.0%) or post‐treatment (vIOP: 15.0%, PHP: 10.2%).DiscussionFindings support virtual family‐based programs as suitable alternatives to in‐person treatment and underscore the potential cost‐effectiveness of a family‐based IOP versus PHP.Public SignificanceThis study demonstrates that a virtual, family‐based, intensive outpatient program for youth with eating disorders had similar treatment outcomes to an in‐person partial hospitalization program. Specifically, the virtual and in‐person programs had similar weight restoration outcomes and rates of medical, psychiatric, or residential treatment admissions during or after treatment initiation. Findings support the use of virtual treatment, even for youth requiring a high level of intervention.
Anion‐π Interaction for Molecular Recognition of Anions: Focus on Cooperativity with Hydrogen Bonding
Authors: Plais Romain , Clavier Gilles , Salpin Jean‐Yves , Gaucher Anne , Prim Damien 
Published: November 2022

AbstractAnion recognition represents an active area of research in supramolecular chemistry. The last two decades have been marked by spectacular advances in the design of new anion receptors. Moreover, the development of approaches combining experimental and theoretical studies has proved to be particularly relevant, allowing for a better understanding and rationalization of the phenomena involved in anion complexation processes. In this context, the combination of weak interactions within the same receptor and their synergistic effects, called cooperativity, has attracted increasing interest within the scientific community. This Review focuses on the combination of anion‐π and hydrogen bonds and the emerging concept of cooperativity. The most relevant anion‐π donor families are presented. The concept of cooperativity is illustrated using the most recent examples present in current literature.