bluuebunny/crossref_metadata_2025_split huggingface dataset:
A new characterization approach for heat sealing of polymer packaging films identifying optimum sealing parameters using Pareto‐based trade‐off analysis
Authors: Gellerich Peter Anton , Majschak Jens‐Peter 
Published: September 2022

AbstractThis paper presents a new approach for characterizing heat sealing processes in packaging machines, which identifies all appropriate and optimum sealing parameters subject to given quality criteria. The presented approach is distinct from established methods, such as heat seal curves or response surface plots, in three aspects: It provides an easy‐to‐read chart indicating optimum and appropriate settings of sealing temperature and dwell time, as well as process robustness for each parameter set. The data points of the charts are generated directly from experiments without using any regression model. The design of experiments features a determinate sequence of tests and no iterative loops are necessary. The approach stems from a ‘trade‐off’ model of heat sealing and a specific multi‐objective optimization method. This trade‐off model states that improving seam quality, reducing sealing temperature, reducing dwell time, and increasing process robustness are conflicting objectives. This hypothesis is deduced from a literature review and verified by experiments. The optimization method claims that all optimum sealing parameters are part of the solution of a multi‐objective optimization problem, the Pareto‐frontier. This hypothesis is elaborated into a design of experiments using the normal‐boundary‐intersection method, and is verified using a peelable seam and tear seam scenario.
Fe‐based catalyst with diphenylphosphite as donor for stereopolymerization of butadiene, isoprene, and myrcene
Authors: Chen Zhiyan , Xu Xueqin , Zhou Yun , Liu Huijie , Cui Sheng , Gong Dirong 
Published: September 2022

AbstractIron catalyst has been encountered with low activity and stereoselectivity sensitive to the operational conditions for diene polymerization. In this study, diphenylphosphite has been proved as an efficient donor in iron‐based tertiary catalyst for butadiene, isoprene and myrcene stereopolymerizations. Thermal robustness of active species has been demonstrated as the high activity and 1,2 stereoselectivity are survived in a wide temperature scope ranging from 5°C to 80°C. The resultant polybutadienes are found to have 1,2 incorporation up to 92.8% with syndiotactic conformation (rrrr: 95.1%), and more than 65% of irregular 3,4 enchainments are generated for polyisoprene and polymyrcene. The active species are formed preferably following addition sequence of iron compound, donor and activator in the presence of monomer. The development of this highly active and stable catalyst combining cost‐efficient components and mild operation parameters could provide accessible catalyst recipe to produce new types of polydienes.
Aster la vista: Unraveling the biochemical basis of carotenoid homeostasis in the human retina
Authors: Bandara Sepalika , von Lintig Johannes 
Published: September 2022

AbstractCarotenoids play pivotal roles in vision as light filters and precursor of chromophore. Many vertebrates also display the colorful pigments as ornaments in bare skin parts and feathers. Proteins involved in the transport and metabolism of these lipids have been identified including class B scavenger receptors and carotenoid cleavage dioxygenases. Recent research implicates members of the Aster protein family, also known as GRAM domain‐containing (GRAMD), in carotenoid metabolism. These multi‐domain proteins facilitate the intracellular movement of carotenoids from their site of cellular uptake by scavenger receptors to the site of their metabolic processing by carotenoid cleavage dioxygenases. We provide a model how the coordinated interplay of these proteins and their differential expression establishes carotenoid distribution patterns and function in tissues, with particular emphasis on the human retina.
Generalized pairwise comparisons for censored data: An overview
Authors: Deltuvaite‐Thomas Vaiva , Verbeeck Johan , Burzykowski Tomasz , Buyse Marc , Tournigand Christophe , Molenberghs Geert , Thas Olivier 
Published: September 2022

AbstractThe method of generalized pairwise comparisons (GPC) is an extension of the well‐known nonparametric Wilcoxon–Mann–Whitney test for comparing two groups of observations. Multiple generalizations of Wilcoxon–Mann–Whitney test and other GPC methods have been proposed over the years to handle censored data. These methods apply different approaches to handling loss of information due to censoring: ignoring noninformative pairwise comparisons due to censoring (Gehan, Harrell, and Buyse); imputation using estimates of the survival distribution (Efron, Péron, and Latta); or inverse probability of censoring weighting (IPCW, Datta and Dong). Based on the GPC statistic, a measure of treatment effect, the “net benefit,” can be defined. It quantifies the difference between the probabilities that a randomly selected individual from one group is doing better than an individual from the other group. This paper aims at evaluating GPC methods for censored data, both in the context of hypothesis testing and estimation, and providing recommendations related to their choice in various situations. The methods that ignore uninformative pairs have comparable power to more complex and computationally demanding methods in situations of low censoring, and are slightly superior for high proportions (>40%) of censoring. If one is interested in estimation of the net benefit, Harrell's c index is an unbiased estimator if the proportional hazards assumption holds. Otherwise, the imputation (Efron or Peron) or IPCW (Datta, Dong) methods provide unbiased estimators in case of proportions of drop‐out censoring up to 60%.
The contribution of manufacturing companies to the achievement of sustainable development goals: An empirical analysis of the operationalization of sustainable business models
Authors: Bonfanti Angelo , Mion Giorgio , Brunetti Federico , Vargas‐Sánchez Alfonso 
Published: September 2022

AbstractThis study aims to identify the sustainable business practices operationalized in the sustainable business models of manufacturing companies and highlights these companies' contributions to achieving Sustainable Development Goals (SDGs). The results outline that a clear sustainable value proposition is operationalized through a large and various range of sustainable practices that, although some of them are legally promoted, are mostly voluntarily adopted. Unlike previous studies, this research shows a widespread commitment not only to the economic and environmental dimensions of sustainability but also to the social one, above all to promote workers' well‐being, improve the workplaces, and engage the employees. Furthermore, the study reveals an across‐the‐board dimension of sustainability operationalized by the adoption of local embeddedness strategies, networking development, and creation of a sustainable ecosystem and contributes to extending—and improving all dimensions of—the triple bottom line framework. Finally, the companies investigated contribute to the achievement of 11 of the 17 SDGs by highlighting dimensions in which companies already have a strong impact and those in which they could enhance their practice. Based on these results, this research advances theoretical knowledge and offers practical implications to improve sustainable business management further.
Boosting computer‐aided design pedagogy using interactive self‐assessmentgraphical tools
Authors: Pando Cerra Pablo , Fernández Álvarez Humberto , Busto Parra Bernardo , Castaño Busón Sofía 
Published: September 2022

AbstractComputer‐aided design (CAD) tools are essential for any engineer and, thus, many researchers have focused on developing the most suitable method for acquiring CAD competences. In recent years, efforts have been devoted to designing new, innovative and helpful methodologies to improve the CAD pedagogy. The presented research aims at showing the advantages of integrating interactive self‐assessment tools into CAD learning methodologies, such as problem‐based learning (PBL). One hundred and ninety‐one first‐year Mechanical Engineering students participated in the research. They were evenly and randomly divided into two groups: a control group and an experimental group. Students belonging to the control group made use of PBL. The experimental group made use of PBL and a new interactive tool, called TrainCAD, that allows the self‐assessment of 2D‐CAD models designed in AutoCAD. The presented results show that experimental group students have considerably improved their academic performance and increased their motivation on the subject. Therefore, the combination of the two proposed approaches seems to be useful for helping students during the CAD learning process. On the other hand, gender was also a factor that has been analysed, to discern whether it influences the proposed academic learning process (based on the applied CAD pedagogy), concluding that there is no significant influence.
Construction of a cuproptosis‐related lncRNA signature for predicting prognosis and immune landscape in osteosarcoma patients
Authors: Ni Shumin , Hong Jinjiong , Li Weilong , Ye Meng , Li Jinyun 
Published: September 2022

AbstractBackgroundLong noncoding RNAs (lncRNAs) influence the onset of osteosarcoma. Cuproptosis is a novel cell death mechanism. We attempted to identify a cuproptosis‐related lncRNA signature to predict the prognosis and immune landscape in osteosarcoma patients.MethodsTranscriptional and clinical data of 85 osteosarcoma patients were derived from the TARGET database and randomly categorized into the training and validation cohorts. We implemented the univariate and multivariate Cox regression, along with LASSO regression analyses for developing a cuproptosis‐related lncRNA risk model. Kaplan–Meier curves, C‐index, ROC curves, univariate and multivariate Cox regression, and nomogram were used to assess the capacity of this risk model to predict the osteosarcoma prognosis. Gene ontology, KEGG, and Gene Set Enrichment (GSEA) analyses were conducted for determining the potential functional differences existing between the high‐risk and low‐risk patients. We further conducted the ESTIMATE, single‐smaple GSEA, and CIBERSORT analyses for identifying the different immune microenvironments and immune cells infiltrating both the risk groups.ResultsWe screened out four cuproptosis‐related lncRNAs (AL033384.2, AL031775.1, AC110995.1, and LINC00565) to construct the risk model in the training cohort. This risk model displayed a good performance to predict the overall survival of osteosarcoma patients, which was confirmed by using the validation and the entire cohort. Further analyses showed that the low‐risk patients have more immune activation and immune cells infiltrating as well as a good response to immunotherapy.ConclusionsWe developed a novel cuproptosis‐related lncRNA signature with high reliability and accuracy for predicting outcome and immunotherapy response in osteosarcoma patients, which provides new insights into the personalized treatment of osteosarcoma.
Individualized number of induction chemotherapy cycles for locoregionally advanced nasopharyngeal carcinoma patients based on early tumor response
Authors: Jiang Yu‐Ting , Chen Kai‐Hua , Liang Zhong‐Guo , Yang Jie , Qu Song , Li Ling , Zhu Xiao‐Dong 
Published: September 2022

AbstractBackgroundThe optimal number of cycles of induction chemotherapy (IC) in locoregionally advanced nasopharyngeal carcinoma (LANPC) is unclear. We aimed to combine the tumor response during IC and tumor stage to individualize the number of IC cycles.MethodsTotally, 498 LANPC patients who received IC plus CCRT between 2014 and 2018 were reviewed. Tumor response during IC was used to stratify patients with different risks. All patients were classified into those who received two cycles of IC and those who were treated with three cycles. Propensity score matching methods were performed to compare the treatment efficiency.ResultsAfter two cycles of IC, 340/498 (68.3%) cases showed complete tumor response (CR)/partial response (PR) and 158 (31.7%) achieved stable disease (SD)/disease progression (PD). Unfavorable responders (SD/PD) exhibited poor survival outcomes. The three‐cycle IC regimen was correlated with better OS and PFS than the two‐cycle regimen for N2‐3 patients in the CR/PR group. However, the use of different IC cycle strategies achieved similar survival outcomes for SD/PD or N0‐1 patients. The incidences of acute toxicities were higher in the IC = 3 group.ConclusionsTumor response during IC could be a powerful predictor of LANPC and could be used to guide the individualized number of IC cycles. A three‐cycle IC regimen seemed to be preferable for N2‐3 patients who received CR/PR during IC. However, an additional cycle of IC could not benefit N0‐1 or SD/PD patients, and the optimal treatment strategies for these patients require further consideration.
The need to tailor the omission of axillary lymph node dissection to patients with good prognosis and sentinel node micro‐metastases
Authors: Houvenaeghel Gilles , de Nonneville Alexandre , Chopin Nicolas , Classe Jean‐Marc , Mazouni Chafika , Chauvet Marie‐Pierre , Reyal Fabien , Tunon de Lara Christine , Jouve Eva , Rouzier Roman , Daraï Emile , Gimbergues Pierre , Coutant Charles , Azuar Anne Sophie , Villet Richard , Crochet Patrice , Rua Sandrine , Bannier Marie , Cohen Monique , Boher Jean‐Marie 
Published: September 2022

AbstractBackgroundResults of IBCSG‐23‐01‐trial which included breast cancer patients with involved sentinel nodes (SN) by isolated‐tumor‐cells or micro‐metastases supported the non‐inferiority of completion axillary‐lymph‐node‐dissection (cALND) omission. However, current data are considered insufficient to avoid cALND for all patients with SN‐micro‐metastases.MethodsTo investigate the impact of cALND omission on disease‐free‐survival (DFS) and overall survival (OS), we analyzed a cohort of 1421 patients <75 years old with SN‐micro‐metastases who underwent breast conservative surgery (BCS). We used inverse probability of treatment weighting (IPTW) to obtain adjusted Kaplan–Meier estimators representing the experience in the analysis cohort, based on whether all or none had been subject to cALND omission.ResultsWeighted log‐rank tests comparing adjusted Kaplan–Meier survival curves showed significant differences in OS (p‐value = 0.002) and borderline significant differences in DFS (p‐value = 0.090) between cALND omission versus cALND. Cox's regression using stabilized IPTW evidenced an average increase in the risk of death associated with cALND omission (HR = 2.77, CI95% = 1.36–5.66). Subgroup analyses suggest that the rates of recurrence and death associated with cALND omission increase substantially after a large period of time in the half sample of women less likely to miss cALND.ConclusionsUsing IPTW to estimate the causal treatment effect of cALND in a large retrospective cohort, we concluded cALND omission is associated with an increased risk of recurrence and death in women of <75 years old treated by BCS in the absence of a large consensus in favor of omitting cALND. These results are particularly contributive for patients treated by BCS where cALND omission rates increase over time.
Impact of extracardiac vascular disease on outcomes of 1.4 million patients undergoing percutaneous coronary intervention
Authors: Bashar Hussein , Matetić Andrija , Curzen Nick , Mamas Mamas A. 
Published: September 2022

AbstractObjectivesExtracardiac vascular disease (ECVD) is increasingly recognized as a cardiovascular risk factor, but its association with outcomes after percutaneous coronary intervention (PCI) has not been well characterized.MethodsUsing the National Inpatient Sample database, all patients undergoing PCI between October 2015 and December 2018 were stratified by the presence and organ‐specific extent of extracardiac vascular comorbidity (cerebrovascular disease (CeVD), renovascular, aortic and peripheral arterial disease (PAD)). Primary outcome was all‐cause mortality and secondary outcomes were (a) major adverse cardiovascular and cerebrovascular events (MACCE), (b) acute ischemic stroke and (c) major bleeding. Multivariable logistic regression was used to determine the adjusted odds ratios (aOR) and 95% confidence interval (95% CI).ResultsOf a total of 1,403,505 patients undergoing PCI during the study period, 199,470 (14.2%) had ECVD. Patients with ECVD were older (median of 72 years vs. 70 years, p < 0.001) and had higher comorbidity burden that their counterparts. All cause‐mortality was 22% higher in patients with any ECVD compared to those without ECVD. PAD patients had the highest odds of all‐cause mortality (aOR 1.48, 95% CI 1.40–1.56), followed by those with CeVD (aOR 1.15, 95% CI 1.10–1.19). Patients with extracardiac disease had increased odds of MACCE, ischemic stroke and bleeding, irrespective of the nature or extent (p < 0.05), compared to patients without ECVD.ConclusionECVD is associated with worse outcomes in patients undergoing PCI including significantly higher rates of death and stroke. These data should inform our shared decision‐making process with our patients.
The Core/Shell Structure P Doped MoS2@Ni3S2Nanorods Array for High Current Density Hydrogen Evolution in Alkaline and Acidic Electrolyte
Authors: Gao Yong , Zhang Dani , Li Jingjing , Gong Hao , Jiang Cheng , Xue Hairong , Huang Xianli , Wang Tao , He Jianping 
Published: September 2022

AbstractElectrocatalysis is the most promising strategy to generate clean energy H2, and the development of catalysts with excellent hydrogen evolution reaction (HER) performance at high current density that can resist strong alkaline and acidic electrolyte environment is of great significance for practical industrial application. Therefore, a P doped MoS2@Ni3S2nanorods array (named P‐NiMoS) was successfully synthesized through successive sulfuration and phosphorization. P‐NiMoS presents a core/shell structure with a heterojunction between MoS2(shell) and Ni3S2(core). Furthermore, the doping of P modulates the electronic structure of the P‐NiMoS; the electrons transfer from the t2gorbital of Ni element to the egempty orbital of Mo element through the Ni−S−Mo bond at the Ni3S2and MoS2heterojunction, facilitating the hydrogen evolution reaction. As a result, P‐NiMoS exhibits excellent HER activity; the overpotential is 290 mV at high current density of 250 mA cm−2in alkaline electrolyte, which is close to Pt/C (282 mV@250 mA cm−2), and P‐NiMoS can stably evolve hydrogen for 48 h.
Influence of Achiral Phosphine Ligands on a Synergistic Organo‐ and Palladium‐Catalyzed Asymmetric Allylic Alkylation
Authors: McLeod David , Inunnguaq Jessen Nicolaj , Nguyen Thanh V. Q. , Espe Marcus , Erickson Jeremy David , Anker Jørgensen Karl , Yang Limin , Houk K. N. 
Published: September 2022

AbstractAn unusual diastereodivergent stereoselective allylation reaction is presented. It consists of a palladium‐catalyzed allylation reaction of an organocatalytically generated amino isobenzofulvene, where the diastereoselectivity is controlled by the electronic properties of a monodentate, achiral ligand on palladium. One major diastereoisomer is formed using triarylphosphines substituted with neutral or electron‐donating substituents of the aryl group, while those with electron‐withdrawing substituents favor the other diastereoisomer. The diastereoselectivity correlates with the Taft inductive parameter of substituents on the triarylphosphine ligand on palladium. The synergistic reaction involves both a catalytic secondary amine catalyst for the indene‐aldehyde activation and the monodentate phosphine ligands on palladium, affording a highly enantioselective reaction with up to 98 % enantiomeric excess. Based on computational investigations, the role of the monodentate phosphine ligand on the diastereoselectivity is discussed.
Fault prediction of non‐linear multi‐mode industrial process based on MKPCA model
Authors: Ma Jie , Wang Xinyu , Lv Yongyan , Li Gang 
Published: September 2022

AbstractThe actual industrial process is regarded as a non‐linear multi‐mode process. If the system is described according to the model of the single‐mode or the linear multi‐mode, it will inevitably lead to a large number of false alarms or missed alarms. The fault detection, fault reconstruction, fault amplitude estimation, and prediction for non‐linear multi‐mode process based on the multi‐kernel principal component analysis (MKPCA) model are studied in this paper. First, the MKPCA model will be applied to fault detection in the steady‐state process of different modes, and a weighted algorithm will be adopted for fault detection in the transition process. Then, the fault degree will be described quantitatively, and the fault amplitude in the form of fault reconstruction will be solved by the optimization method, and the consistent estimation algorithm of fault amplitude under different modes will also be studied. Finally, the prediction model of support vector machine (SVM) prediction model will be applied to predict the development trend of the fault amplitude. Furthermore, the Tennessee Eastman (TE) process will be taken as an application object to verify the effectiveness and superiority of the method.
Phosphoregulation of the septin cytoskeleton in neuronal development and disease
Authors: Werner Bailey , Yadav Smita 
Published: September 2022

AbstractSeptins are highly conserved GTP‐binding proteins that oligomerize and form higher order structures. The septin cytoskeleton plays an important role in cellular organization, intracellular transport, and cytokinesis. Kinase‐mediated phosphorylation of septins regulates various aspects of their function, localization, and dynamics. Septins are enriched in the mammalian nervous system where they contribute to neurodevelopment and neuronal function. Emerging research has implicated aberrant changes in septin cytoskeleton in several human diseases. The mechanisms through which aberrant phosphorylation by kinases contributes to septin dysfunction in neurological disorders are poorly understood and represent an important question for future research with therapeutic implications. This review summarizes the current state of knowledge of the diversity of kinases that interact with and phosphorylate mammalian septins, delineates how phosphoregulation impacts septin dynamics, and describes how aberrant septin phosphorylation contributes to neurological disorders.
Reduced specificity and increased overgenerality of autobiographical memory persist as cognitive vulnerabilities in remitted major depression: A meta‐analysis
Authors: Hallford David John , Rusanov Danielle , Yeow Joseph J. E. , Barry Tom Joseph 
Published: September 2022

AbstractDifficulty in accessing specific memories, referred to as reduced memory specificity or overgeneral memory (OGM), has been established as a marker of clinical depression. However, it is not clear if this deficit persists following the remission of depressive episodes. The current study involved a systematic review and meta‐analysis of empirical studies with the aim of establishing whether remitted depression was associated with retrieving fewer specific and more overgeneral autobiographical memories. Seventeen studies were identified as eligible. The results indicated that people with remitted depression recalled fewer specific memories (k = 15; g = −0.314, 95% CI [−0.543; −0.085], z = −2.69, p = .007) and more categoric memories (k = 9; g = 0.254, 95% CI [0.007; 0.501], z = 2.02, p = .043) compared to people who had never been depressed. Given these deficits have elsewhere been shown to be prognostic of future depressive symptoms, these findings suggest that reduced memory specificity/overgeneral memory persists following remission and may be a risk factor for future episodes of depression in those that are in remission. The findings are discussed in terms of how this knowledge might influence clinical understanding of relapse prevention and maintenance of remission in those with a history of depression.