bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact and Flexural Strength, and Fracture Morphology of Acrylic Resins With Impact Modifiers
Authors: Faot Fernanda , Panza Leonardo H V , Garcia Renata C M Rodrigues , Cury Altair Antoninha Del Bel 
Published: July 2009

Objectives:This study evaluated the impact and flexural strength and analyzed the fracture behavior of acrylic resins.Methods:Eighteen rectangular specimens were fabricated of Lucitone 550, QC 20 (both unreinforced acrylic resins), Impact 1500 (extra strength impact), Impact 2000 (high impact) according to the manufacturers’ instructions. The impact strength was evaluated in notched specimens (50x6x4mm) and flexural strength in unotched (64x10x3.3mm), using three-point bending test, as well as, stress at yield, Young modulus and displacement at yield. Fragments from mechanical tests were observed by SEM. Data from impact strength, stress at yield and displacement at yield were analyzed by 1-way ANOVA and Tukey test (α=0.05). Young modulus values were analyzed by One-way ANOVA and Dunnett T3 multiple comparisons test (α=0.05).Results:Mean values of impact strength and stress at yield values were higher (P<.005) for Impact 2000 while Young modulus was higher (P<.05) for Lucitone 550; Impact 1500 and Impact 2000 showed significant values (P<.05) in the displacement at yield. Impact fractures of the all acrylic resins were brittle. Bending fractures of Lucitone 550 and Impact 2000 were brittle, QC 20 fractures were ductile and Impact 1500 showed brittle (75%) and ductile (25%) fractures.Conclusion:Within the limitations of this study, the Impact 2000 showed improved mechanical properties with high capacity of stress absorption and energy dissipation before the fracture.
Primary Graft Function, Metabolic Control, and Graft Survival After Islet Transplantation
Authors: Vantyghem Marie-Christine , Kerr-Conte Julie , Arnalsteen Laurent , Sergent Geraldine , Defrance Frederique , Gmyr Valery , Declerck Nicole , Raverdy Violeta , Vandewalle Brigitte , Pigny Pascal , Noel Christian , Pattou Francois 
Published: July 2009

OBJECTIVE
To investigate the influence of primary graft function (PGF) on graft survival and metabolic control after islet transplantation with the Edmonton protocol.

RESEARCH DESIGN AND METHODS
A total of 14 consecutive patients with brittle type 1 diabetes were enrolled in this phase 2 study and received median 12,479 islet equivalents per kilogram of body weight (interquartile range 11,072–15,755) in two or three sequential infusions within 67 days (44–95). PGF was estimated 1 month after the last infusion by the β-score, a previously validated index (range 0–8) based on insulin or oral treatment requirements, plasma C-peptide, blood glucose, and A1C. Primary outcome was graft survival, defined as insulin independence with A1C ≤6.5%.

RESULTS
All patients gained insulin independence within 12 days (6–23) after the last infusion. PGF was optimal (β-score ≥7) in nine patients and suboptimal (β-score ≤6) in five. At last follow-up, 3.3 years (2.8–4.0) after islet transplantation, eight patients (57%) remained insulin independent with A1C ≤6.5%, including seven patients with optimal PGF (78%) and one with suboptimal PGF (20%) (P = 0.01, log-rank test). Graft survival was not significantly influenced by HLA mismatches or by preexisting islet autoantibodies. A1C, mean glucose, glucose variability (assessed with continuous glucose monitoring system), and glucose tolerance (using an oral glucose tolerance test) were markedly improved when compared with baseline values and were significantly lower in patients with optimal PGF than in those with suboptimal PGF.

CONCLUSIONS
Optimal PGF was associated with prolonged graft survival and better metabolic control after islet transplantation. This early outcome may represent a valuable end point in future clinical trials.
Sustained Hyperglycemia Among Patients With Diabetes
Authors: Lafata Jennifer E. , Dobie Elizabeth A. , Divine George W. , Ulcickas Yood Marianne E. , McCarthy Bruce D. 
Published: July 2009

OBJECTIVE
To estimate prevalence of, and factors associated with, sustained periods of hyperglycemia among patients with diabetes and factors associated with receipt of appropriate care once A1C values are persistently elevated.

RESEARCH DESIGN AND METHODS
Among patients initiating oral monotherapy (n = 5,070), Kaplan-Meier and Cox proportional hazards methods were used to estimate time to, and factors associated with, sustained hyperglycemia (defined by two A1cs &gt;8% and no recent medication intensification), and among those experiencing sustained hyperglycemia, time to, and factors associated with, appropriate receipt of care (i.e., medication intensification or achieving A1C ≤7%).

RESULTS
Within 1 year, 8% experienced sustained hyperglycemia, with the proportion rising to 38% within 5 years. Patients using sulfonylurea had greater risk of hyperglycemia (hazard ratio [HR] 1.47 [95% CI 1.30–1.66]) compared with those initiating metformin. Risk increased with age (1.89 [1.27–2.83]), was greater for African Americans (1.19 [1.05–1.36]), and increased with A1C levels &gt;7%. Among individuals with sustained hyperglycemia (n = 1,386), mean time to appropriate care was 9.7 months, with 25% not receiving appropriate care within 1 year. Shorter delays to appropriate care receipt were associated with increasing income (1.03 [1.00–1.07]), A1C &gt;9% (1.38 [1.06–1.79]) and &gt;11% (1.65 [1.25–2.18]), increasing medication adherence (1.03 [1.01–1.04]), and visits to primary care (4.22 [3.65–4.88]) or endocrinology (3.89 [2.26–6.70]). Longer delays were associated with increasing drug copayments (0.96 [0.93–0.98]).

CONCLUSIONS
Patients incurring sustained hyperglycemia are at risk of further delays in appropriate management. Barriers to appropriate care include prescription drug copayments, few physician contacts, and other factors that are likely amenable to intervention.
Ideals and atoms of BZ-algebras
Authors: Dudek Wiesław , Zhang Xiaohong , Wang Yongquan 
Published: July 2009

Abstract
Ideals and atoms are studied by various authors from different point of views. In different algebras there are studied different ideals, but obtained results are similar. Below we present a new method of study of ideals in BZ-algebras. Using this method we describe the connection between ideals of various types.
Oscillation criteria for differential equations of second order
Authors: Nandakumaran A. , Panigrahi S. 
Published: July 2009

Abstract
In this article, we give sufficient condition in the form of integral inequalities to establish the oscillatory nature of non linear homogeneous differential equations of the form $$
(r(t)y')' + q(t)y' + p(t)f(y)g(y') = 0, t \geqslant t_0 ,
$$ where r, q, p, f and g are given data. We do this by separating the two cases f is monotonous and non monotonous.
Oscillation of neutral delay difference equations of second order with positive and negative coefficients
Authors: Padhi Seshadev , Qian Chuanxi 
Published: July 2009

Abstract
This paper is concerned with a class of neutral difference equations of second order with positive and negative coefficients of the forms $$
\Delta ^2 (x_n \pm c_n x_{n - \tau } ) + p_n x_{n - \delta } - q_n x_{n - \sigma } = 0
$$ where τ, δ and σ are nonnegative integers and {p
n}, {q
n} and {c
n} are nonnegative real sequences. Sufficient conditions for oscillation of the equations are obtained.
Banach-Steinhaus properties of strictly $$
\mathcal{N}
$$-locally convex spaces based on the principle of uniform boundedness
Authors: Lahrech S. 
Published: July 2009

Abstract
Using the principle of uniform boundedness in a strictly $$
\mathcal{N}
$$-locally convex spaces, we establish a Banach-Steinhaus-type result for sequentially continuous linear operators.
Characterization and Apportionment of Sources of Indoor air Particulate Matter of aecd Campus, Dhaka
Authors: Begum Bilkis A , Biswas Swapan K 
Published: July 2009

Ambient particulate matter (PM10 and PM2.5) samples were collected in different laboratories and sitting rooms at the Atomic Energy Centre Dhaka campus in Dhaka on weekdays using AirMetrics Samplers from September to December 2006. The samples were analyzed for elemental concentrations by ED XRF method. Black carbon was analyzed by reflectance. The data sets were analyzed by reconstructive mass (RCM) methods to check the mass closer and also to identify the possible sources of atmospheric aerosols in these closed areas. It was observed that in these closed areas, 74 to 98% of the particulate mass belong to fine particles mass (PM2.5). Mostly three and four sources have been identified in both PM10 and PM2.5 fractions respectively. The sources are soil, combustion products (signature elements are BC and OC), Pb and Zn containing sources. It was found that about 70 to 98% of total mass is black carbon together with organic carbon. Keywords: RCM, PM, AECD campus, XRF method DOI: 10.3329/jbas.v33i1.2947 Journal of Bangladesh Academy of Sciences, Vol. 33, No. 1, 25-36, 2009
Concomitant Inhalation of Cigarette Smoke and Aerosolized Protein Activates Airway Dendritic Cells and Induces Allergic Airway Inflammation in a TLR-Independent Way
Authors: Robays Lander J. , Lanckacker Ellen A. , Moerloose Katrien B. , Maes Tania , Bracke Ken R. , Brusselle Guy G. , Joos Guy F. , Vermaelen Karim Y. 
Published: July 2009

Abstract
Cigarette smoking is associated with the development of allergic asthma. In mice, exposure to cigarette smoke sensitizes the airways toward coinhaled OVA, leading to OVA-specific allergic inflammation. Pulmonary dendritic cells (DCs) are professional APCs involved in immunosurveillance and implicated in the induction of allergic responses in lung. We investigated the effects of smoking on some of the key features of pulmonary DC biology, including trafficking dynamics and cellular activation status in different lung compartments. We found that cigarette smoke inhalation greatly amplified DC-mediated transport of inhaled Ags to mediastinal lymph nodes, a finding supported by the up-regulation of CCR7 on airway DCs. Pulmonary plasmacytoid DCs, which have been involved in inhalational tolerance, were reduced in number after smoke exposure. In addition, combined exposure to cigarette smoke and OVA aerosol increased surface expression of MHC class II, CD86, and PDL2 on airway DCs, while ICOSL was strongly down-regulated. Although inhaled endotoxins, which are also present in cigarette smoke, have been shown to act as DC activators and Th2-skewing sensitizers, TLR4-deficient and MyD88 knockout mice did not show impaired eosinophilic airway inflammation after concomitant exposure to cigarette smoke and OVA. From these data, we conclude that cigarette smoke activates the pulmonary DC network in a pattern that favors allergic airway sensitization toward coinhaled inert protein. The TLR independency of this phenomenon suggests that alternative immunological adjuvants are present in cigarette smoke.
A Panel of Artificial APCs Expressing Prevalent HLA Alleles Permits Generation of Cytotoxic T Cells Specific for Both Dominant and Subdominant Viral Epitopes for Adoptive Therapy
Authors: Hasan Aisha N. , Kollen Wouter J. , Trivedi Deepa , Selvakumar Annamalai , Dupont Bo , Sadelain Michel , O'Reilly Richard J. 
Published: July 2009

Abstract
Adoptive transfer of virus-specific T cells can treat infections complicating allogeneic hematopoietic cell transplants. However, autologous APCs are often limited in supply. In this study, we describe a panel of artificial APCs (AAPCs) consisting of murine 3T3 cells transduced to express human B7.1, ICAM-1, and LFA-3 that each stably express one of a series of six common HLA class I alleles. In comparative analyses, T cells sensitized with AAPCs expressing a shared HLA allele or autologous APCs loaded with a pool of 15-mer spanning the sequence of CMVpp65 produced similar yields of HLA-restricted CMVpp65-specific T cells; significantly higher yields could be achieved by sensitization with AAPCs transduced to express the CMVpp65 protein. T cells generated were CD8+, IFN-γ+, and exhibited HLA-restricted CMVpp65-specific cytotoxicity. T cells sensitized with either peptide-loaded or transduced AAPCs recognized epitopes presented by each HLA allele known to be immunogenic in humans. Sensitization with AAPCs also permitted expansion of IFN-γ+ cytotoxic effector cells against subdominant epitopes that were either absent or in low frequencies in T cells sensitized with autologous APCs. This replenishable panel of AAPCs can be used for immediate sensitization and expansion of virus-specific T cells of desired HLA restriction for adoptive immunotherapy. It may be of particular value for recipients of transplants from HLA-disparate donors.
Assessment of concurrent neoplasms and a paraneoplastic association in MOGAD
Authors: Kwon Young Nam , Tisavipat Nanthaya , Guo Yong , Syc‐Mazurek Stephanie B. , Han Ji Yeon , Kim Jun‐Soon , Choi Kyomin , Oh Seong‐il , Choi Seok‐Jin , Sohn Eunhee , Oh Jeeyoung , Kim Seung Woo , Shin Ha Young , Lim Byung Chan , Kim Byoung Joon , Park Kyung Seok , Sung Jung‐Joon , Kim Se Hoon , Park Sung‐Hye , Zekeridou Anastasia , Lucchinetti Claudia F. , Pittock Sean J. , Chen John J. , Flanagan Eoin P. , Kim Sung‐Min 
Published: February 2025

AbstractCases of myelin oligodendrocyte glycoprotein (MOG) antibody‐associated disease (MOGAD) co‐occurring with neoplasms have been reported. In this international, retrospective cohort study in South Korea and the USA, 16 of 445 (3.6%) patients with MOGAD had concurrent neoplasm within 2 years of MOGAD onset, resulting in a standardized incidence ratio for neoplasm of 3.10 (95% confidence interval [CI], 1.77–4.81; P < 0.001) when compared to the age‐ and country‐adjusted incidence of neoplasm in the general population. However, none of the nine tumor tissues obtained demonstrated MOG immunostaining. The slightly increased frequency without immunohistopathological evidence suggest with true paraneoplastic MOGAD is extremely rare.
Designing a Filtered Proportional–Integral–Derivative Controller With Disturbance Rejection for a Nonideal Buck Converter Utilizing an Upgraded Genetic Algorithm and Pattern Search
Authors: Ersali Cihan , Hekimoğlu Baran , Yilmaz Musa 
Published: February 2025

ABSTRACTThis research introduces an enhanced metaheuristic algorithm named GAPS, a combination of the genetic algorithm (GA) with tournament selection (TS) and the pattern search (PS) algorithm. The primary objective is improving GA's capacity for exploring and exploiting potential solutions. The proposed algorithm optimizes a Nonideal buck converter's output voltage controlled by a proportional–integral–derivative (PID) controller with an added low‐pass filter (PID‐N‐F). The algorithm is carefully designed, incorporating a strategically imposed crossover frequency constraint to counteract signal noise at higher frequencies. This approach ensures robust performance in the presence of various disturbances. The algorithm's effectiveness is evaluated using statistical box plots and by comparing convergence rates with the standard GA method. It is also compared how the GAPS‐optimized PID‐N‐F controller performs in the buck converter relative to the standard GA approach and classical pole placement (PP) method. The comprehensive evaluation covers robustness analysis, frequency and transient responses, load and input voltage variation as disturbance rejection. The results indicate that the GAPS‐based system performs better than the GA‐ and PP‐based systems in various aspects. These findings affirm the GAPS‐based system's superior stability, efficiency, and robustness relative to the GA‐ and PP‐based alternatives.
Oxygen Vacancies Generated Out‐of‐Plane and In‐Plane Ferroelectricity in Layered Bi2WO6 Nanoflake
Authors: Wang Lin , Pan Xiaohang , Zhang Yong , Zhong Yunlei , Zhang Xu , Zhang Zhen , Li Alei , Zhao Pin , Guo Qing , Li Yunfei , Zhang Hui , Xu Leilei , Wang Yujia , Han Mengjiao , Ma Xiuliang , Kang Lixing 
Published: February 2025

AbstractFerroelectricity in ultrathin 2D materials has garnered significant attention owing to its potential applications in nonvolatile memory, nanoelectronics, and optoelectronics. However, the exploration of ferroelectricity in materials possessing inherent centrosymmetric or mirror symmetry, particularly in the 2D domain, remains limited. In this study, the chemical vapor deposition (CVD) technique is utilized to synthesize ultrathin Bi2WO6 (BWO) nanoflakes, revealing robustly intercorrelated out‐of‐plane (OOP) and in‐plane (IP) ferroelectric polarization. The measured ferroelectric phase transition temperature of ultrathin BWO nanoflake is ≈800 K. The emergence of OOP ferroelectricity in BWO nanoflake is ascribed to the displacement of oxygen vacancies between neighboring asymmetric sites, leading to the disruption of local structural mirror symmetry and the alignment of dipole moments. Moreover, the IP and OOP ferroelectric responses are modulated by distinct maximum bias voltages. This investigation offers novel insights into the advancement of 2D ferroelectrics with elevated Curie temperatures.
Intermetallic Synergy in PdCuCo Catalysts Boosts C─C Bond Cleavage of Polyalcohol Electrooxidation
Authors: Zhao Jin , Hu Tianjun , Wang Ying , Zhang Junming , Luo Ergui , Xiao He , Zhao Man , Zhang Li , Jia Jianfeng 
Published: February 2025

AbstractMulti‐metallic catalysts with specific structures play a crucial role in enhancing the selectivity and activity of chemical reactions. However, challenges such as unfavorable alcohol adsorption on catalysts, CO poisoning, and high free energy barriers during oxidation processes pose significant obstacles to catalysts' ability to cleave C─C bonds for complete alcohol oxidation. Here, a series of PdCuCo metalene electrocatalysts is reported, wherein varying intermetallic interactions among Pd, Cu, and Co effectively modulate the alcohol oxidation pathway. Notably, the catalyst Pd0.15Cu0.35Co2, synthesized by galvanic replacement of Cu and Pd on a metallic Co surface, delivers remarkably high activity for electrocatalytic oxidation of ethylene glycol and glycerol in alkaline electrolytes (9.7 and 10.9 A mg−1Pd, respectively), both of which are much better than reported electrocatalysts and broadly applicable to various alcohols. High performance is assigned to the structural advantages of the material and the synergistic effects of multiple metals. This synergy not merely enhances the surface electronics, fostering the creation of exclusive active sites, but also facilitates the oxidative cleavage of stable C─C bond for efficient oxidation of alcohols.
Electrically Induced Negative Differential Resistance States Mediated by Oxygen Octahedra Coupling in Manganites for Neuronal Dynamics
Authors: Jaman Azminul , Fratino Lorenzo , Ahmadi Majid , Rocco Rodolfo , Kooi Bart J. , Rozenberg Marcelo , Banerjee Tamalika 
Published: February 2025

AbstractThe precipitous rise of consumer network applications reiterates the urgency to redefine computing hardware with a low power footprint. Neuromorphic computing utilizing correlated oxides offers an energy‐efficient solution. By designing anisotropic functional properties in LSMO on a twinned LAO substrate and driving it out of thermodynamic equilibrium, two distinct negative differential resistance states are demonstrated in such volatile memristors. These are harnessed to exhibit oscillatory dynamics in LSMO at different frequencies and an artificial neuron with leaky integrate‐and‐fire dynamics. A material‐based modeling incorporating bond angle distortions in neighboring perovskites and capturing the inhomogeneity of domain distribution and propagation explains both the NDR regimes. The findings establish LSMO as an important material for neuromorphic computing hardware.
Mesoporous‐Confined Au Thorn Nano‐Pockets Enable of Precisely Capturing Target Molecules for Universal SERS Detection
Authors: Liao Pingyong , Zhao Jing , Zhao Xuejun , Wang Xiru , Xiao Lu , Chen Ruijia , Zhang Zihua , Wang Junchang , He Shan , Liu Wenbin 
Published: February 2025

AbstractA persistent challenge in utilizing gold nanostructures for surface‐enhanced Raman scattering (SERS) lies in positioning analytes into the nanoscale hotspots that maximize SERS performance and achieve universal substrates. Here, a novel mesoporous nano‐pockets strategy is proposed to design high performance universal SERS substrates by precisely capturing target molecules into plasmonic hotspots. This is achieved through utilizing mesoporous silica as nano‐pockets for confined growth of short Au thorns on the Fe3O4 core (Fe3O4@sAT@mSiO2), whilst the vertically open nano‐pockets structure with nanospace large enough at tips of short Au thorns to capture target molecules through hydroxyl group on the mesoporous surface. The electromagnetic field enhancement obtained from the Au thorns with an average gap size of 3 nm is sufficient to amplify the Raman signal peaks of the trapped molecules. Therefore, the as‐prepared Fe3O4@sAT@mSiO2 proves to be ultrasensitive and reliable SERS detection of 15 kinds of drugs, with all limits of detection lower than those reported in the current literature. Moreover, the experimental findings are further corroborated by simulations using the molecular dynamics and finite element method. These mesoporous‐confined Au thorn nano‐pockets with accessible hotspots promote future use for developing the universal SERS method in various fields.
Descriptors Divide‐and‐Conquer Enables Multifaceted and Interpretable Materials Structure–Activity Relationship Analysis
Authors: Liu Yue , Wu Linhan , Yang Zhengwei , Zou Xinxin , Zou Zheyi , Lin Yuxiao , Avdeev Maxim , Shi Siqi 
Published: February 2025

AbstractMachine learning (ML) is increasingly adopted to explore the dependence of properties on descriptors especially for materials with the complicated structure–activity relationships. However, most current ML modeling strategies typically depend on a single combination of descriptors, which leads to inaccurate and unilateral inferences. Here, a descriptors divide‐and‐conquer method is proposed for machine learning (descriptors‐DCML) in which rough set theory (RST) is integrated with materials domain knowledge to select multiple optimal sets of descriptors combinations and thus diverse rule extraction strategies are provided to dig out mechanisms latent in materials data. Its potential utility and applications using the sodium ion energy barrier prediction of NASICION‐type solid‐state electrolyte compounds with multifaceted influencing factors as an example are demonstrated. A total of 85 NASICION‐type samples with 45 descriptors derived from 72 published literature serve as the data foundation for ML modeling. Not only does descriptors‐DCML exhibit the energy barrier prediction accuracy of 93.8% but also extract 9 relations mapping essential factors to Na ion energy barrier in which 5 ones conform to existing understanding rule and the rest are waiting for validation. This work paves the way for reducing the complexity of analyzing materials structure–activity relationships and enhancing the interpretability of ML models.