bluuebunny/crossref_metadata_2025_split huggingface dataset:
Business model platformization drives social value—A configuration research based on the technology‐organization‐environment framework
Authors: Zhang Yamin , Jiang Junfeng , Shang Yanying 
Published: May 2024

AbstractData connectivity is driving a shift in corporate business models toward social responsibility and stakeholder orientation, but existing research has focused on the significant increase in business value from business model platformization and has failed to answer the question of “what kind of business model platformization creates high social value in what contexts.” Business model platformization features are decomposed into three‐dimensional components of technology, architecture, and capability, and the external environment in which the business model creates value is segmented in terms of demand evolution and peer competition. This paper develops a technology–organization–environment (TOE) configurational framework, adopts fuzzy‐set qualitative comparative analysis (fsQCA), collects data from 42 enterprises with business model platformization, and analyzes what combinations of digital intelligence technology, platform architecture, dynamic capability, demand evolution, and peer competition constitute a high social value configuration. The study suggests that four configurations of the three main types, resource‐driven, demand‐driven, and total factor‐driven, constitute equivalent paths to high social value. With the help of the TOE framework to identify the configurations of business model platformization to create high social value, this paper provides theoretical support for enterprises aiming to create high social value in the face of peer competition and joint changes in the demand environment to choose the appropriate path of business model platformization from their own point of view.
Increased CSF DOPA Decarboxylase Correlates with Lower DaT‐SPECT Binding: Analyses in Biopark and PPMI Cohorts
Authors: Khosousi Shervin , Sturchio Andrea , Appleton Ellen , Paslawski Wojciech , Ta Michael , Nalls Michael , Singleton Andrew B. , Iwaki Hirotaka , Svenningsson Per 
Published: May 2024

AbstractBackgroundRecent studies identified increased cerebrospinal fluid (CSF) DOPA decarboxylase (DDC) as a promising biomarker for parkinsonian disorders, suggesting a compensation to dying dopaminergic neurons. A correlation with 123I‐FP‐CIT‐SPECT (DaT‐SPECT) imaging could shed light on this link.ObjectiveThe objective is to assess the relationship between CSF DDC levels and DaT‐SPECT binding values.MethodsA total of 51 and 72 Parkinson's disease (PD) subjects with available DaT‐SPECT and CSF DDC levels were selected from the PPMI and Biopark cohorts, respectively. DDC levels were analyzed using proximity extension assay and correlated with DaT‐SPECT striatal binding ratios (SBR). All analyses were corrected for age and sex.ResultsCSF DDC levels in PD patients correlated negatively with DaT‐SPECT SBR in both putamen and caudate nucleus. Additionally, SBR decreased with increased DDC levels over time in PD patients.ConclusionCSF DDC levels negatively correlate with DaT‐SPECT SBR in levodopa‐treated PD. © 2024 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.
Change blindness, reward bias, negative affective priming: Exploring individual‐level associations between depression/anxiety symptoms and cognition
Authors: Balogh Annamaria , Lewis Glyn , Shafran Roz , Robinson Oliver J. 
Published: May 2024

AbstractCognitive biases are thought to contribute to depression/anxiety. In addition to self‐reported measures, cognitive tasks could potentially be integrated with clinical practice as more precise measures of cognitive biases. In a large online study we explored the individual‐level association between depression/anxiety symptoms and performance on (1) reward bias, (2) negative affective priming, and (3) change blindness tasks. Participants completed tasks alongside depression/anxiety symptom questionnaires. We used regression analyses to test for associations between task performance and questionnaire scores. We conducted a replication study of the change blindness task, and performed a mega‐analysis of the two studies. Faster reaction time in the change blindness task was associated with higher depression score (B = −27, p = 0.034) in the first study (N = 545) and higher depression and anxiety scores (depression: B = −15, p = 0.045; anxiety: B = −17, p = 0.022) in the replication study (N = 616). These effects were significant in the mega‐analysis but did not withstand adjusting for age in either the original and replication studies or the mega‐analysis. We found no association between depression/anxiety and reward bias (N = 504) and negative affective priming (N = 539). Our results provide preliminary evidence that individuals with more severe depressive/anxious symptoms may be faster at identifying changes in the change blindness task. Contrary to previous findings, neither reward bias nor negative affective priming was associated with depression/anxiety.
A three‐point compact LOD‐FDTD method for solving the 2D scalar wave equation
Authors: Pereda José A. , Grande Ana 
Published: May 2024

AbstractThis letter introduces an unconditionally stable finite‐difference time‐domain (FDTD) method, based on the locally one‐dimensional (LOD) technique, for the solution of the two‐dimensional scalar wave equation (WE) in homogeneous media. The second spatial derivatives in the WE are discretized by using a three‐point compact (implicit) finite‐difference formula with a free parameter. This formula has second‐order accuracy and becomes fourth‐order by properly selecting the parameter value. Moreover, the resulting algorithm only involves tridiagonal matrices, as when using standard (explicit) second‐order finite differences. Additionally, a stability analysis is performed and the numerical dispersion relation of the method is derived. The proposed compact LOD‐WE‐FDTD technique has been applied to the calculation of resonant frequencies in a metallic ridge cavity. The accuracy of the results obtained has been studied as a function of the parameter value.
Management of immune‐mediated necrotizing myopathy
Authors: Suh Joome , Amato Anthony A. 
Published: May 2024

AbstractThe immune‐mediated necrotizing myopathies (IMNM) are autoimmune myositides clinically characterized by proximal predominant weakness and elevated creatine kinase (CK). They may be associated with autoantibodies (anti‐HMGCR, anti‐SRP), triggered by statin use (e.g., anti‐HMGCR myopathy), associated with cancer, or may be idiopathic. Immunotherapy is required to improve strength and decrease the CK level, but no therapies are currently approved by the U.S. Food and Drug Administration for the treatment of IMNM. The optimal treatment strategy for IMNM is currently unknown and wide practice variation exists in the management of this condition. However, observational studies and expert opinion suggest that certain therapies may be more effective for the different serological subtypes of IMNM. HMGCR IMNM often responds favorably to intravenous immunoglobulin (IVIG) even as monotherapy. Signal recognition peptide and seronegative IMNM typically require combination immunotherapy, most often consisting of an oral immunosuppressant, corticosteroids, and IVIG or rituximab. Patients often remain on immunotherapy for years and relapse is common during tapering of immunotherapy. Further studies are needed to guide the optimal management of these patients.
Experimental and numerical analysis of dielectric polarization effects in near‐surface earth materials in the 100 Hz–10 MHz frequency range: First interpretation paths
Authors: Tabbagh A. , Souffaché B. , Jougnot D. , Maineult A. , Rejiba F. , Adler P. M. , Schamper C. , Thiesson J. , Finco C. , Mendieta A. , Rembert F. , Guérin R. , Camerlynck C. 
Published: May 2024

SummaryThe recent developments of electromagnetic induction and electrostatic prospection devices dedicated to critical zone surveys in both rural and urban contexts necessitate improving the interpretation of electrical properties through complementary laboratory studies. In a first interpretation step, the various experimental results obtained in the 100 Hz–10 MHz frequency range can be empirically fitted by a simple six‐term formula. It allows the reproduction of the logarithmic decrease of the real component of the effective relative permittivity and its corresponding imaginary component, the part associated with the direct current conductivity, one Cole–Cole relaxation and the real and imaginary components of the high‐frequency relative permittivity. For elucidating physical phenomena contributing to both the logarithmic decrease and the observed Cole–Cole relaxation, we first consider the Maxwell–Wagner–Sillars polarization. Using the method of moments, we establish that this continuous medium approach can reproduce a large range of relaxation characteristics. At the microscopic scale, the possible role of the rotation of the water molecules bound to solid grains is then investigated. In this case, contrary to the Maxwell–Wagner–Sillars approach, the relaxation parameters do not depend on the external medium properties.
Design, analysis, manufacturing, and testing of a composite gun barrel
Authors: Uyanık Mehmet Sinan , Soydan Ali Murat , Yılmaz Alpay , Ata Ali 
Published: May 2024

AbstractUser expects his weapon to be light and reliable and to perform multiple times firing per unit time at the same time. In today's technology, the maximum number of firings can be made per unit time with steel barreled weapons, but in composite barrels; many problems occur due to overheating, strength and reliability. Meeting these opposite demands is an engineering problem. In this study, the design of a composite‐steel combination light gun barrel is studied. Firstly, pressure distribution through the barrel has been calculated using Vallier‐Heydenreich method. According to the calculations, analysis has been conducted using both steel barrel and composite barrel. After the analysis, a composite barrel has been manufactured and testing has been conducted on an all‐steel barrel and the manufactured composite barrel. Composite is carbon fiber and resin is epoxy resin. In composite material, carbon fiber is preferred at the rates of 50% and 60%, the material of the steel barrel is AISI 416R stainless steel. The manufactured steel barrels have the same outer diameter but different wall thickness ratios, firing tests were conducted in such a way that the number of shots per unit time was the same.Highlights
Stress distribution within a gun barrel was calculated using Vallier‐Heydenreich method.
Design and finite element analysis analysis for an all‐steel gun barrel and a composite gun barrel was conducted.
A composite gun barrel was manufactured; by using composite materials, the barrel was lightened by 24.8%.
The manufactured composite gun barrel and an all‐steel gun barrel were tested by firing over 2500 shots.
Rapid quality assessment and traceability of ginger powder from Northeast India and Indian market based on near infrared spectroscopic fingerprinting
Authors: Naskar Sirsha , Sing Dilip , Banerjee Subhadip , Shcherbakova Anastasiia , Bandyopadhyay Amitabha , Kar Amit , Haldar Pallab Kanti , Sharma Nanaocha , Mukherjee Pulok Kumar , Bandyopadhyay Rajib 
Published: May 2024

AbstractIntroductionGinger (Zingiber officinale Rosc.) varies widely due to varying concentrations of phytochemicals and geographical origin. Rapid non‐invasive quality and traceability assessment techniques ensure a sustainable value chain.ObjectiveThe objective of this study is the development of suitable machine learning models to estimate the concentration of 6‐gingerol and check traceability based on the spectral fingerprints of dried ginger samples collected from Northeast India and the Indian market using near‐infrared spectrometry.MethodsSamples from the market and Northeast India underwent High Performance Liquid Chromatographic analysis for 6‐gingerol content estimation. Near infrared (NIR) Spectrometer acquired spectral data. Quality prediction utilized partial least square regression (PLSR), while fingerprint‐based traceability identification employed principal component analysis and t‐distributed stochastic neighbor embedding (t‐SNE). Model performance was assessed using RMSE and R2 values across selective wavelengths and spectral fingerprints.ResultsThe standard normal variate pretreated spectral data over the wavelength region of 1,100–1,250 nm and 1,325–1,550 nm showed the optimal calibration model with root mean square error of calibration and R2C (coefficient of determination for calibration) values of 0.87 and 0.897 respectively. A lower value (0.24) of root mean square error of prediction and a higher value (0.973) of R2P (coefficient of determination for prediction) indicated the effectiveness of the developed model. t‐SNE performed better clustering of samples based on geographical location, which was independent of gingerol content.ConclusionThe developed NIR spectroscopic model for Indian ginger samples predicts the 6‐gingerol content and provides geographical traceability‐based identification to ensure a sustainable value chain, which can promote efficiency, cost‐effectiveness, consumer confidence, sustainable sourcing, traceability, and data‐driven decision‐making.
Phytic acid modified polyacrylonitrile nanofiber membranes: Fabrication, characterization, and optimization for Pb2+ adsorption
Authors: Li Hongzhang , Liu Xinhua , Chi Eryan , Xu Guocai 
Published: May 2024

AbstractPhytic acid (PA) modified polyacrylonitrile (PAN) nanofiber membranes for heavy metal adsorption were fabricated using electrospinning for the first time, and its mechanical properties and heavy metal adsorption under various conditions were tested. The results demonstrated that PA modification improved the mechanical properties of PAN nanofiber membranes at low modification ratio due to increased intermolecular hydrogen bonds and cross‐linking. The highest breaking strength and elongation at break were 70.1% and 31.5% over PAN without modification when the PA:PAN ratio was close to 1:5. The Pb2+ absorption tests in the water solutions demonstrated that the optimal PA:PAN ratio was 1:1, the optimal temperature was 30°C, and the optimal pH was 7. With the optimal parameters, the adsorption capacity reached the maximum and equilibrium after 4 h. The adsorption capacities increased with higher initial Pb2+ concentrations. The highest adsorption capacity in this study was approximately 240.1 mg g−1 at the initial Pb2+ concentration of 750.72 mg L−1. In addition, after de‐adsorption process, the 1:1 PA modified membranes maintained 91.9% re‐adsorption capacities compared to primary adsorption. Consequently, the PA‐modified PAN nanofiber membranes showed promising potentials of metal ion adsorption in wastewater treatment.Highlights
Phytic acid modified polyacrylonitrile nanofiber membranes were fabricated.
Low ratio modification improved the mechanical properties.
The optimal modification ratio for Pb2+ adsorption is 1:1.
The maximum Pb2+ adsorption capacity was 240.1 mg g−1 in this study.
The membranes maintained 91.9% capacities at re‐adsorption tests.
Proton transfer theoretical study catalyzed by 5‐chlorouracil
Authors: Cheng Liangyue 
Published: May 2024

AbstractIn this study, the density functional M06‐2X/6‐311++G(3df,3pd) method was employed to investigate the mutual isomerization reaction mechanism of 5‐chlorouracil from diketone to diol under the catalysis of water, methanol, formic acid, and an electric field. Parameters such as reaction enthalpy, activation energy, activation Gibbs free energy, and proton transfer reaction rate were obtained. The computational results show that under the same conditions, formic acid demonstrates the best catalytic effect, while the influence of electric field catalysis on the reaction barrier is minimal.
A rising tide that lifts all boats: Long‐term effects of the Alaska Permanent Fund Dividend on poverty
Authors: Berman Matthew 
Published: May 2024

AbstractAlthough not designed as a social program to redistribute income, the Alaska Permanent Fund Dividend (PFD) has been reducing poverty by providing equal annual payments to nearly all state residents for over 40 years. We examine direct effects of the PFD on Alaska poverty rates since 1990, using US Census and American Community Survey Public Use Microdata Sample records to adjust for under‐reporting of children's PFD income in official statistics. We estimate that the PFD reduced the number of Alaskans with incomes below the US poverty threshold by 20%–40%. We measure only a small effect on income distribution: a 0.02 reduction in the Gini coefficient. The effect of the PFD has been even larger for vulnerable populations. The PFD has reduced poverty rates of rural Indigenous Alaskans from 28% to less than 22%, and has played an important role in alleviating poverty among seniors and children. Aside from the special case of 2020, up to 50% more Alaska children—15% instead of 10%—would be living in poor families without PFD income. The poverty‐ameliorating effects of the PFD have lessened somewhat since 2000, as dividend amounts adjusted for inflation have been declining.
Evaluating the impact of the government loan program on farms in Vietnam: An application of fuzzy regression discontinuity design
Authors: Le Dao Van , Tran Tuyen Quang 
Published: May 2024

AbstractThis study examines the role of a government loan program on the performance of agricultural, forestry, and fishery farms in Vietnam, utilizing a fuzzy regression discontinuity design. The results of the study indicate that: (i) the government loan program decreases the total revenue of participating farms and (ii) the heterogeneous impact of the loan program depends on the type of farm (e.g., nonlivestock farms tend to receive more positive effects from the loan program). Notably, the study reveals some mechanisms explaining why having government loans can reduce farm efficiency; specifically, farms that use more pesticides and do not engage in e‐commerce activities tend to suffer from the government loan program. The results of the study have important implications for future research, particularly in improving the effectiveness of government loan programs and promoting formal e‐commerce activities in the future.
The use of health services by women living homeless in Madrid, Spain
Authors: Lenta Malena , Panadero Sonia , Di Iorio Jorgelina , Vázquez José J. 
Published: May 2024

AbstractWomen living homeless make up a particularly vulnerable and significantly invisible collective, about which there is little information regarding the use of health services. The purpose of this study is to examine the use of health services by a sample of women living homeless in Madrid, Spain (n = 138). The information was compiled using structured interviews. Results show that women living homeless largely make use of health services (e.g., emergency care, hospitalization, and out‐patient treatment) and tend to feel satisfied with them. However, a significant percentage of women living homeless did not hold a National Health Insurance Card, expressed dissatisfaction with the health services, and said that they did not receive medical care at a time when they considered it necessary. Some of the issues affected, to a greater extent, older women living homeless, foreign women, and those who had abused drugs at some point in their lives.
Native dynamics and allosteric responses in PTP1B probed by high‐resolution HDX‐MS
Authors: Woods Virgil A. , Abzalimov Rinat R. , Keedy Daniel A. 
Published: May 2024

AbstractProtein tyrosine phosphatase 1B (PTP1B) is a validated therapeutic target for obesity, diabetes, and certain types of cancer. In particular, allosteric inhibitors hold potential for therapeutic use, but an incomplete understanding of conformational dynamics and allostery in this protein has hindered their development. Here, we interrogate solution dynamics and allosteric responses in PTP1B using high‐resolution hydrogen‐deuterium exchange mass spectrometry (HDX‐MS), an emerging and powerful biophysical technique. Using HDX‐MS, we obtain a detailed map of backbone amide exchange that serves as a proxy for the solution dynamics of apo PTP1B, revealing several flexible loops interspersed among more constrained and rigid regions within the protein structure, as well as local regions that exchange faster than expected from their secondary structure and solvent accessibility. We demonstrate that our HDX rate data obtained in solution adds value to estimates of conformational heterogeneity derived from a pseudo‐ensemble constructed from ~200 crystal structures of PTP1B. Furthermore, we report HDX‐MS maps for PTP1B with active‐site versus allosteric small‐molecule inhibitors. These maps suggest distinct and widespread effects on protein dynamics relative to the apo form, including changes in locations distal (>35 Å) from the respective ligand binding sites. These results illuminate that allosteric inhibitors of PTP1B can induce unexpected changes in dynamics that extend beyond the previously understood allosteric network. Together, our data suggest a model of BB3 allostery in PTP1B that combines conformational restriction of active‐site residues with compensatory liberation of distal residues that aid in entropic balancing. Overall, our work showcases the potential of HDX‐MS for elucidating aspects of protein conformational dynamics and allosteric effects of small‐molecule ligands and highlights the potential of integrating HDX‐MS alongside other complementary methods, such as room‐temperature X‐ray crystallography, NMR spectroscopy, and molecular dynamics simulations, to guide the development of new therapeutics.
External validation of the Memorial Sloan Kettering Cancer Center preoperative nomogram predicting lymph node invasion in a cohort of high‐grade prostate cancer patients
Authors: Touma Nawar , Larose Maxence , Ouellet Jade , Bédard‐Tremblay Daphnée , Singbo Narcisse , Hovington Hélène , Neveu Bertrand , Archambault Louis , Pouliot Frédéric 
Published: May 2024

AbstractBackgroundCommonly used preoperative nomograms predicting clinical and pathological outcomes in prostate cancer (PCa) patients have not been yet validated in high‐grade only PCa patients. Our objective is to perform an external validation of the Memorial Sloan Kettering Cancer Center (MSKCC) preoperative nomogram as a predictor of lymph node invasion (LNI) in a cohort of high‐grade PCa patients.MethodsWe included patients with high‐grade PCa (Gleason ≥8) treated at our institution between 2011 and 2020 with radical prostatectomy and pelvic lymph node dissection without receiving neoadjuvant or adjuvant therapy. The area under the curve (AUC) of the receiver operator characteristic (ROC) was used to quantify the accuracy of the model to predict LNI. A calibration plot was used to evaluate the model's precision, and a decision curve analysis was computed to evaluate the net benefit associated with its use. This study was approved by our institution's ethics board.ResultsA total of 242 patients with a median age of 66 (60−71) years were included. LNI was observed in 70 (29%) patients with a mean of 16 (median = 15; range = 2−42) resected nodes. The MSKCC nomogram discriminative accuracy, as evaluated by the AUC‐ROC was 79.0% (CI: [0.727−0.853]).ConclusionThe MSKCC preoperative nomogram is a good predictor of LNI and a useful tool associated with net clinical benefit in this patient population.