bluuebunny/crossref_metadata_2025_split huggingface dataset:
Observer‐based event‐triggered H‐infinity sliding control of Markovian jump system suffer from actuator attacks
Authors: Jiang Baoping , Liu Dongyu , Karimi Hamid Reza , Li Bo 
Published: November 2022

AbstractThis article investigates the issue of observer‐based
sliding mode control for Markovian jump systems suffer from actuator attacks through an adaptive technique. During the communication channel from the plant output to estimator, a dynamic event‐triggered generator is employed in enhancing communication efficiency. Taking consideration of malicious attacks on the plant actuator, an adaptive compensator is put forward for security purposes. By designing a state observer, the desired sliding mode dynamics can be derived based on an integral‐type sliding surface. Further, maintaining the sliding motion with uncertain mode information is ensured in finite time by proposing a feasible sliding mode control law. In addition, both stochastic stability and
performance conditions are established for closed‐loop systems in terms of linear matrix inequalities. Finally, a numerical example is offered to illustrate the validity of the constructed strategy.
Forschung und Freizeit: Karl von Frischs Aufenthalt in Neapel 1911**
Authors: Hoffmann Christoph 
Published: November 2022

AbstractIn March 1911, Karl von Frisch visited the Zoological Station in Naples for the first time. During his stay, Frisch, who had just received his doctorate, was studying the color adaptation of marine fish. At the same time, as diary notes show, he also completed an extensive tourist program. Frisch was not alone in this; many scientists combined their time in Naples with excursions and other pleasures. Usually these activities are labelled—in Frisch's words—as „diversion“ and „relaxation“ from the activities in the laboratory. Expanding this point, I will examine the various relationships between labour, recreation, research, and tourism based on Frisch's notes during his stay in Naples. Finally, I will take a look at the financial side of Frisch's stay in Naples.
Inflammatory geriatric nutritional risk index stratified the survival of older adults with cancer sarcopenia
Authors: Ruan Guo‐Tian , Xie Hai‐Lun , Zhang He‐Yang , Zhang Qi , Zhang Xi , Ge Yi‐Zhong , Hu Chun‐Lei , Tang Meng , Song Meng‐Meng , Zhang Xiao‐Wei , Yang Ming , Yu Kai‐Ying , Gong Yi‐Zhen , Deng Li , Shi Han‐Ping 
Published: November 2022

AbstractBackgroundAging is accompanied by muscle loss. In older adults with cancer sarcopenia (OACS), systemic inflammation, reduced food intake, and reduced physical activity led to a poor prognosis. This study was to investigate the prognostic ability of the inflammatory Geriatric Nutritional Risk Index (GNRI), which combines patient's inflammation, diet status, and physical activity status to predict overall survival of OACS.MethodsThis prospective multi‐center study enrolled 637 OACS, with an average age of 72.78 ± 5.98 years, of which 408 (64.1%) were males. We constructed the Inflammatory Functional Prognostic Index (IFPI) of OACS based on inflammatory GNRI scores, reduced food intake, and reduced physical activity. According to the IFPI, OACS was divided into high‐, moderate‐, and low‐risk groups. Univariate and multivariate survival analyses analyzed the prognostic ability of the clinical parameters.ResultsCompared with OACS with a high GNRI score, the 1‐, 3‐, and 5‐year hazard ratios (95% confidence interval) of OACS with a low GNRI score was 1.816 (1.076–3.063), 1.678 (1.118–2.518), and 1.627 (1.101–2.407), respectively. This result was consistent with that of the calibration curve. The subgroup analysis showed that the low GNRI score had a significant positive relation with patients with gastrointestinal cancer (Pinteraction < 0.001). Notably, the survival analysis of IFPI showed that the mortality risk of moderate‐ and high‐risk patients was 1.722‐and 2.509‐fold higher, respectively, than that of low‐risk patients.ConclusionThe GNRI score was a short‐term and long‐term inflammatory prognostic indicator for OACS. The IFPI score could improve patient survival prediction.
An online randomised controlled trial of prognosticating imminent death in advanced cancer patients: Clinicians give greater weight to advice from a prognostic algorithm than from another clinician with a different profession
Authors: Bruun Andrea , White Nicola , Oostendorp Linda , Vickerstaff Victoria , Harris Adam J. L. , Tomlinson Christopher , Bloch Steven , Stone Patrick 
Published: November 2022

AbstractBackgroundA second opinion or a prognostic algorithm may increase prognostic accuracy. This study assessed the level to which clinicians integrate advice perceived to be coming from another clinician or a prognostic algorithm into their prognostic estimates, and how participant characteristics and nature of advice received affect this.MethodsAn online double‐blind randomised controlled trial was conducted. Palliative doctors, nurses and other types of healthcare professionals were randomised into study arms differing by perceived source of advice (algorithm or another clinician). In fact, the advice was the same in both arms (emanating from the PiPS‐B14 prognostic model). Each participant reviewed five patient summaries. For each summary, participants: (1) provided an initial probability estimate of two‐week survival (0% ‘certain death’—100% ‘certain survival’); (2) received advice (another estimate); (3) provided a final estimate. Weight of Advice (WOA) was calculated for each summary (0 ‘100% advice discounting’ – 1 ‘0% discounting’) and multilevel linear regression analyses were conducted.Clinical trial registration number: NCT04568629.ResultsA total of 283 clinicians were included in the analysis. Clinicians integrated advice from the algorithm more than advice from another clinician (WOA difference = −0.12 [95% CI ‐0.18, −0.07], p < 0.001). There was no interaction between study arm and participant profession, years of palliative care or overall experience. Advice of intermediate strength (75%) was given a lower WOA (0.31) than advice received at either the 50% (WOA 0.40) or 90% level (WOA 0.43). The overall interaction between strength of advice and study arm on WOA was significant (p < 0.001).ConclusionClinicians adjusted their prognostic estimates more when advice was perceived to come from a prognostic algorithm than from another clinician. Research is needed to understand how clinicians make prognostic decisions and how algorithms are used in clinical practice.
An intensive perinatal mentalisation‐based intervention for women at risk of child removal and the role of restorative relationships
Authors: Jondec Ana Fernandez , Barlow Jane 
Published: November 2022

AbstractPregnant women with a history of child removal are at greater risk of being found unsuitable to care for their new babies. Neglect, showing a lack of capacity to provide for the child's physical and/or emotional needs, is the most frequent reason why infants are removed from their parents' care. Parents with a history of child removal have often been themselves subject to maltreatment as children and suffer the sequelae of relational trauma which then becomes a barrier to establishing nurturing relationships with their own children. Attachment, and particularly mentalisation‐based, parenting interventions focus on restoring relationships by developing parents' capacity to reflect upon their own internal mental experiences as well as those of the child, helping them to better understand themselves and their children. The DAISY programme is an intensive perinatal attachment and mentalisation‐based intervention for pregnant women with a history of child removal, aiming to improve mothers' mentalising capacities and care proceeding outcomes. This article uses a case study to describe the programme's model and mechanisms of change. Additionally, we present preliminary observations about the programme's delivery and impact from the perspective of one of its practitioners.
Online shopping orientations of Latino millennial generational cohorts
Authors: Johnson Olivia , Cho Hyojung , Patwary Sarif 
Published: November 2022

AbstractLatino consumers in the United States reached a collective buying power of nearly $1.72 trillion in 2020 with over 22% between the ages of 18 and 37, and 80% of the population on the internet. Although Latino Millennials represent a significant consumer group in the United States, scarce literature has examined their online shopping orientations. Furthermore, despite having indications that Millennials are not a homogenous consumer group, and differ in their shopping preferences, studies fell short in examining the online shopping orientations of the Millennial subgroup. Thus, the purpose of this study was to examine the shopping orientations of Latino consumers by segmenting the Millennial generation into three groups: younger Millennial (18–23), middle Millennial (24–30), and older Millennial (31–37). The study administered a web‐based questionnaire survey to a convenience sample of 378 participants. A one‐way multivariate analysis of variance (MANOVA) was conducted, and findings revealed that shopping orientations of Latino consumers differ significantly based on Millennial generational cohorts (MGCs) and ethnicity. Among Latino MGCs, younger Millennials were more brand‐and fashion‐conscious, impulsive, and confused by over choice. Furthermore, Latino Millennials were more brand conscious than Caucasian Millennials. Therefore, companies and marketers that target Latino Millennial consumers should create shopping experiences that meet the needs of the different generational cohorts.
Novel Thioether‐Bridged 2,6‐Disubstituted and 2,5,6‐Trisubstituted Imidazothiadiazole Analogues: Synthesis, Antiproliferative Activity, ADME, and Molecular Docking Studies
Authors: Ozcan Ibrahim , Akkoc Senem , Alici Hakan , Capanlar Seval , Sahin Onur , Tahtaci Hakan 
Published: November 2022

AbstractIn this study, starting from 2‐amino‐1,3,4‐thiadiazole derivatives (3–5), a new series of 2,6‐disubstituted (compounds 7–15) and 2,5,6‐trisubstituted (compounds 16–33) imidazo[2,1‐b][1,3,4]‐thiadiazole derivatives were synthesized using cyclization and Mannich reaction mechanisms, respectively. All synthesized compounds were characterized by 1H‐NMR, 13C‐NMR, FT‐IR, elemental analysis, and mass spectroscopy techniques. Also, X‐ray diffraction analysis were used for compounds 4, 7, 11, 17, and 19. The cytotoxic effects of the new compounds on the viability of colon cancer cells (DLD‐1), lung cancer cells (A549), and liver cancer cells (HepG2) were investigated using the 3‐(4,5‐dimethylthiazol‐2‐yl)‐2,5‐diphenyltetrazolium bromide (MTT) method in vitro. Compound 15 was found to be the most potent anticancer drug candidate in this series with an IC50 value of 3.63 μM against HepG2 for 48 h. Moreover, the absorption, distribution, metabolism, and excretion (ADME) parameters of the synthesized compounds were calculated and thus, their potential to be safe drugs was evaluated. Finally, to support the biological activity experiments, molecular docking studies of these compounds were carried out on three different target cancer protein structures (PDB IDs: 5ETY, 1M17, and 3GCW), and the amino acids that play key roles in the binding of the compounds to these proteins were determined.
Peripheral arterial disease and multisite atherosclerosis in patients undergoing percutaneous coronary intervention
Authors: Piccolo Raffaele , Esposito Giovanni 
Published: November 2022

Key Points
Atherosclerosis is a systemic disease and frequently coronary artery disease is intertwined with peripheral arterial disease (PAD).
This large study showed that PAD and its extension (multisite atherosclerosis) negatively affects the risk of in‐hospital mortality in patients with coronary artery disease undergoing PCI.
PAD status and its extension in the principal vascular territories should be carefully assessed during hospitalization for coronary revascularization and should be regarded as important risk factors.
Intervention for aortic stenosis complicated by shock: Focus on the ventricle
Authors: Rizik David G. , Goldstein James A. 
Published: November 2022

Key Points
TAVR effective in CS, but mortality still high and outcomes determined by non‐procedural factors
AS with intact LV ejection fraction rarely induces CS: Must delineate non‐valvular hemodynamic compromise factors
“Primary” TAVR strategy preferable, with BAV reserved as “Bridge” to Definitive Decision
Percutaneous Coronary Intervention of bifurcation lesions: The proof is in the pudding!
Authors: Seth Ashok , Ezhumalai Babu 
Published: November 2022

Key Points
Provisional stenting strategy is the most common technique for treatment of bifurcation lesion in the ‘real world' patients undergoing percutaneous coronary intervention.
The technical success appears to be lower in provisional stent strategy compared to upfront two stent strategy due to worsening of the ostial side branch lesions after main branch stenting; following wire recrossing and side branch dilation/stent implantation stenting leads to equivalent procedural success and in hospital outcomes.
Side branch access after main branch stenting is technically challenging and an algorithmic approach helps to achieve procedural success.
“The Hunterian approach: Cordis Smart Stent safe and effective, but what about its use in long or severely calcified chronically occluded lesions… Let's get it done the first time”
Authors: Heuser Richard R. 
Published: November 2022

Key Points
The Smart stent has been “battle‐hardened” with years of experience to treat femoropopliteal lesions.
Many patients with femoropopliteal lesions require multiple interventions.
Are there any therapies that can be performed for long‐term success for longer femoral lesions?
Merging N‐Heterocyclic Carbene Organocatalysis with Hydrogen Atom Transfer Strategy
Authors: Li Qing‐Zhu , Kou Xin‐Xin , Qi Ting , Li Jun‐Long 
Published: November 2022

AbstractRadical N‐heterocyclic carbene (NHC) organocatalysis has progressed significantly in recent years, enabling various incredible transformations. However, prefunctionalized substrates bearing a redox functionality were always required. As a result, the direct functionalization of aliphatic C−H bonds in simple substrates remains a challenge. This situation was changed once the hydrogen transfer atom (HAT) strategy was successfully applied in radical NHC catalysis very recently. This concept paper focused on the discussion of merging NHC catalysis with a classical intramolecular 1,5‐HAT process. Moreover, the unprecedented application of intermolecular HAT in radical NHC catalysis is highlighted as a novel catalysis model showing great synthetic promise.
Targeting cytokines and potentiality of JAK–STAT inhibition in systemic sclerosis
Authors: Aung Wah Wah , Hamaguchi Yasuhito , Matsushita Takashi 
Published: November 2022

AbstractSystemic sclerosis (SSc) or scleroderma is an autoimmune disease of unknown etiology, the treatment of which has garnered increased research interest. Associated symptoms range from localized or diffused skin tightening to multiple organ failure, including the lungs, kidneys, heart, and gastrointestinal tract, with considerable morbidity and mortality. Given that several cytokines contribute to the immune pathogenesis of SSc, efforts have been made toward the development of treatments targeting these cytokines to control disease progression. Indeed, anti‐cytokine therapy has emerged as a new therapeutic intervention. Recently, the Janus kinase signal transducer and activator of transcription (JAK–STAT) pathway has been investigated as a novel candidate for the fibrogenic pathology of SSc. However, a comprehensive scientific review of the targeted therapy for SSc has been hampered by the rarity and heterogeneous nature of the disease. In this review, we provide an overview of cytokines involved in the innate and adaptive immune pathogenesis of SSc based on recent scientific data. In particular, we focus on targeted anti‐cytokine therapy and the emerging role of the JAK–STAT inhibitor, a prospective therapeutic agent for the reversal of disease pathogenesis.
Deep learning enabled cross‐lingual search with metaheuristic web based query optimization model for multi‐document summarization
Authors: Gangathimmappa Mahesh , Subramani Neelakandan , Sambath Velmurugan , Ramanujam Rengaraj Alias Muralidharan , Sammeta Naresh , Marimuthu Maheswari 
Published: November 2022

SummaryDue to the exponential increase in the generation of digital documents and in the online search user diversity, multilingual information is highly available on the Internet. However, the huge amount of multilingual data cannot be analyzed manually. Therefore, cross lingual multi‐document summarization (CLMDS) model is introduced to generate a summary of several documents in which the summary language is different from the source document language. This paper presents a Deep Learning Enabled Cross‐lingual Search with Metaheuristic based Query Optimization (DLCLS‐MQO) model for Multi‐document summarization. The DLCLS‐MQO model allows to offer a query in Tamil, summarize several English documents, and lastly translate the summary into Tamil. The DLCLS‐MQO model encompasses four stages of operation such as multilingual search, query optimization, automatic sematic lexicon builder, and document summarization. Firstly, bidirectional long short‐term memory (BiLSTM) model is applied to perform multilingual searching process. Followed by, sunflower optimization (SFO) algorithm based query optimization process is carried out. Moreover, global vectors (GloVe) method is used for the construction of domain oriented sentiment lexicons. Finally, extreme gradient boosting (XGBoost) model is applied for the CLMDS. A detailed simulation analysis takes place to highlight the betterment of the DLCLS‐MQO model. The resultant experimental values portrayed the superior performance of the DLCLS‐MQO model over the compared methods.
9,9‐Bis[4‐(N‐aryl)phenyl]methylidene‐xanthylidene Derivatives Displaying Mechano‐, Crystallo‐, and Thermochromism
Authors: Oda Kasane , Nishiyama Hiroki , Nishida Jun‐Ichi , Kawase Takeshi 
Published: November 2022

AbstractTetraphenylethylene (TPE) derivatives bearing a xanthene moiety are of interest because they have novel optical properties. 9,9‐Bis[4‐(N,N‐diphenylamino)phenyl] and 9,9‐bis[4‐(9‐carbazolyl)‐phenyl]methylidene‐xanthylidenes3and4were synthesized using Suzuki‐Miyaura coupling of 9,9‐dibromomethylidene‐xanthylidene with the corresponding boronic acids. Diphenylamino derivative3exhibits mechanochromism and mechanofluorochromism (MC and MFC) reflected in absorption and fluorescence color changes. In contrast, carbazolyl derivative4displays thermo‐ and crystallo‐chromism in addition to MC and MFC in the solid state. Powder X‐ray diffraction and single crystal X‐ray crystallographic analysis reveal that the solid state photophysical properties of these substances are governed by conformational changes rather by the creation of planar π‐conjugation extended geometries.
Synthesis, Cellular Uptake, and Photodynamic Activity of Oligogalactosyl Zinc(II) Phthalocyanines
Authors: Xiong Junlong , Xue Evelyn Y. , Ng Dennis K. P. 
Published: November 2022

AbstractInvited for this month′s cover is the group of Prof. Dennis K. P. Ng at The Chinese University of Hong Kong. The cover picture shows the selective internalization of molecules of a di‐galactosyl zinc(II) phthalocyanine into a cancer cell. Upon light irradiation, these molecules are excited and interact with the endogenous oxygen to generate highly reactive singlet oxygen, which oxidatively damages the cellular components, leading to cell death eventually. More information can be found in the Research Article by Dennis K. P. Ng, and co‐workers.
Classification of plant growth‐promoting bacteria inoculation status and prediction of growth‐related traits in tropical maize using hyperspectral image and genomic data
Authors: Yassue Rafael Massahiro , Galli Giovanni , Fritsche‐Neto Roberto , Morota Gota 
Published: November 2022

AbstractRecent technological advances in high‐throughput phenotyping have created new opportunities for the prediction of complex traits. In particular, phenomic prediction using hyperspectral reflectance could capture various signals that affect phenotypes genomic prediction might not explain. A total of 360 inbred maize (Zea mays L.) lines with or without plant growth‐promoting bacterial inoculation management under nitrogen stress were evaluated using 150 spectral wavelengths ranging from 386 to 1,021 nm and 13,826 single‐nucleotide polymorphisms. Six prediction models were explored to assess the predictive ability of hyperspectral and genomic data for inoculation status and plant growth‐related traits. The best models for hyperspectral prediction were partial least squares and automated machine learning. The Bayesian ridge regression and BayesB were the best performers for genomic prediction. Overall, hyperspectral prediction showed greater predictive ability for shoot dry mass and stalk diameter, whereas genomic prediction was better for plant height. The prediction models that simultaneously accommodated both hyperspectral and genomic data resulted in a predictive ability as high as that of phenomics or genomics alone. Our results highlight the usefulness of hyperspectral‐based phenotyping for management and phenomic prediction studies.
Towards a robust test to detect gene doping for anabolic enhancement in human athletes
Authors: Baoutina Anna , Bhat Somanath , Li Desmond K. , Emslie Kerry R. 
Published: November 2022

AbstractSuccess in gene therapy in treating human disease makes this technology attractive to enhance athletic performance, creating the need for gene doping detection. In 2021, World Anti‐Doping Agency (WADA) approved the first gene doping test. Here, we describe a new method to detect doping with four additional genes, follistatin, growth hormone 1, growth hormone–releasing hormone and insulin‐like growth factor 1, that may improve performance by increasing muscle size and strength. The method utilises four hydrolysis probe‐based polymerase chain reaction (PCR) assays that target the transgenes based on the coding sequence of the four endogenous genes. The assays are specific, reproducible and capable to detect five copies of transgene in the presence of very similar endogenous gene in 25,000 times excess. To underpin reliable and comparable routine method performance by doping testing laboratories, a synthetic reference material for the method was designed and generated following the ISO Guide 35. The complete method was validated in blood samples using plasma as extraction matrix and QIAamp DNA blood midi DNA extraction kit. All blood samples from different donors (n = 8) simulated to be negative or positive (1500 transgene copies spiked per millilitre of blood) for the transgenes were reported correctly. The new method that targets four additional genes will extend the capabilities of laboratories involved in doping control to protect athletes' health, fairness and equality.