bluuebunny/crossref_metadata_2025_split huggingface dataset:
Gamification in financial service apps to enhance customer experience and engagement
Authors: Raza Ali , Rehmat Sana , Ishaq Muhammad Ishtiaq , Haj‐Salem Narjes , Talpur Qurat‐ul‐ain 
Published: December 2023

AbstractThe purpose of this research is twofold: (1) to examine the impact of gamification on user experiences, customer engagement, and purchase intentions in the financial industry and (2) to examine how immediate rewards vs. delayed rewards prompt different consumer behaviors in Pakistan's mobile banking (m‐banking) industry. The data for study 1 was collected from 340 m‐banking customers using a structured, survey‐based questionnaire, while study 2 collected data from 161 customers using an experimental‐based study. The structural equation modeling results show that gamification elements are positively related to user experiences and customer engagement, and customer engagement mediates the relationship between gamification and purchase intentions. Moreover, the results of the experimental‐based study show that immediate rewards more strongly influence user experiences, customer engagement, and purchase intentions. For theoretical implications, this study extends the scant literature on gamification in the m‐banking industry. For managerial implications, this research highlights the essential elements of gamification to increase customer engagement and purchase intentions in the m‐banking sector.
Application of the FTIR technique as a non‐invasive tool to discriminate Portuguese olive oils with Protected Designation of Origin
Authors: Lamas Sandra , Ruano Daniela , Dias Francisco , Barreiro Filomena , Pereira José Alberto , Peres António M. , Rodrigues Nuno 
Published: December 2023

AbstractThree Portuguese olive oils with PDO (‘Azeite do Alentejo Interior’, ‘Azeites da Beira Interior’ and ‘Azeite de Trás‐os‐Montes’) were studied considering their physicochemical quality, antioxidant capacity, oxidative stability, total phenols content, gustatory sensory sensations and Fourier transform infrared (FTIR) spectra. All oils fulfilled the legal thresholds of EVOOs and the PDO's specifications. Olive oils from ‘Azeite da Beira Interior’ and ‘Azeite de Trás‐os‐Montes’ showed greater total phenols contents and antioxidant capacities, while ‘Azeites da Beira Interior′ presented higher oxidative stabilities. Linear discriminant models were developed using FTIR spectra (transmittance and the 1st and 2nd derivatives), allowing the correct identification of the oils’ PDO (100 % sensitivity and specificity, repeated K‐fold‐CV). This study also revealed that multiple linear regression models, based on FTIR transmittance data, could predict the sweet, bitter, and pungent intensities of the PDO oils (R2≥0.979±0.016; RMSE≤0.26±0.05, repeated K‐fold‐CV). This demonstrates the potential of using FTIR as a non‐destructive technique for authenticating oils with PDO.
Deoxyribonuclease 1‐like 3 inhibits colorectal malignancy through antagonizing NEDD4‐triggered CDKN1A ubiquitination
Authors: Yu Lifei , Huang Jin 
Published: December 2023

AbstractDeoxyribonuclease 1‐like 3 (DNASE1L3) has been shown to play nonnegligible roles in several types of carcinomas. Nevertheless, the biological function, clinical relevance, and influence of DNASE1L3 in colorectal cancer (CRC) remain obscure. Immunohistochemistry was adopted to examine DNASE1L3 and CDKN1A expression in CRC tissue, and the clinical significance of DNASE1L3 was assessed. Cell counting kit‐8, colony formation, and transwell assays were employed for assessing tumor proliferation and migration. The mechanisms underlying the impact of DNASE1L3 were explored via western blot analysis, co‐immunoprecipitation, and ubiquitination assay. It was observed that DNASE1L3 was downregulated in CRC tissues and was tightly associated with patient prognosis. DNASE1L3 impaired CRC cell proliferation and migration through elevating CDKN1A via suppressing CDKN1A ubiquitination. Meanwhile, DNASE1L3 was positively related to CDKN1A. In mechanism, DNASE1L3 and CDKN1A interacted with the E3 ubiquitin ligase NEDD4. Moreover, DNASE1L3 was competitively bound to NEDD4, thus repressing NEDD4‐mediated CDKN1A ubiquitination and degradation. These discoveries implied the potential mechanisms of DNASE1L3 during tumorigenesis, suggesting that DNASE1L3 may serve as a new potential therapeutic agent for CRC.
Spatio‐temporal pattern evolution and driving factors of A‐level logistics enterprises in Yangtze River Delta
Authors: Zhang Man , Kou Zheng 
Published: December 2023

SummaryIn this paper, standard deviation ellipse, spatial autocorrelation, cold hot spot analysis, kernel density estimation, and other spatial analysis models are first used to analyze the evolution process and spatial and temporal distribution characteristics of A‐level logistics enterprises in the Yangtze River Delta. Secondly, a regression model is used to analyze the main factors driving the evolution of the spatial and temporal patterns of A‐level logistics enterprises in the Yangtze River Delta. The research finds that the development of A‐level logistics enterprises in the Yangtze River Delta urban agglomeration generally presents a trend that increasing number and unbalanced development of enterprises of different levels. Regional economic strength, regional policy, transportation accessibility, cargo transportation capacity, and port development level are the main factors driving the evolution of the spatial and temporal pattern of A‐level logistics enterprises in the Yangtze River Delta.
Real‐time Internet of LoRa Things (IoLT)‐based accident detection and prevention system in vehicular networks towards smart city
Authors: Vinodhini M. , Rajkumar Sujatha , Subramaniam Siva Kumar 
Published: December 2023

SummaryVehicle utilization has increased on a broader scale in today's reality. Because of insufficient emergency services, increased motor traffic has resulted in the rise of traffic collisions, and widespread accidents lead to the demise of lives and property. Generally, the consequence death rate happens each year, originating from delays in rescue activities. However, vehicles are embedded with trend technology. Still, the accident count will rise day by day due to delays in transmitting the information to the concerned person or delays in rescue activities. The proposed work offers an effective solution to the aforementioned issue by assisting low‐power and long‐range (LoRa) architecture with edge node ultrasonic sensors for identifying the abnormalities and to provide an efficient transport ambulance from the unexpected mishap spot to the closest hospital where emergency well‐being can be provided with the help of cloud technology. Also, emergency information can be sent to the cloud immediately, and its response is the way of alerting the surroundings and notifying the appropriate hospital with the aid of a GPS‐enabled LoRa‐shield. Further, comparing the proposed technology with other LPWAN (low‐power wide area networks) in terms of coverage, cost, capacity, and energy consumption proves efficient communication in the development of intelligent vehicular networks towards a smart city.
Functional traits predict species co‐occurrence patterns in a North American Odonata metacommunity
Authors: Cerini Francesco , Vignoli Leonardo , Blust Michael , Strona Giovanni 
Published: December 2023

AbstractThe probability of occurrence of a given species in a target locality and assemblage is conditioned not only by environmental/climatic variables but also by the presence of other species (i.e., species co‐occurrence). This framework, already complex in nature, becomes even more complicated if one considers the functional traits of species that, in turn, might influence the structure of metacommunities in various ways. Depending on the ecological and environmental setting, functional similarity (i.e., convergence in morphological and ecological traits) between species might either reduce their co‐occurrence due to high niche overlap driving negative interactions or promote it if the similar traits are associated with local habitat suitability. Similarly, functional divergence might either promote species co‐occurrence by limiting negative interactions through niche separation or reduce it through trait mediated environmental filtering. Therefore, discriminating between these alternative scenarios—predicting whether two species will tend to co‐occur or not based on their traits—is extremely challenging. Here, we develop a novel protocol to tackle the challenge, and we demonstrate its effectiveness by showing that ecological species traits can predict species co‐occurrence in a large dataset of North American Odonata. To this end, we first used the Hierarchical Modeling of Species Communities framework to quantify the pairwise species co‐occurrence after controlling for environmental and climatic factors. Then, we used machine learning to generate models which proved capable of predict accurately the observed co‐occurrence patterns from species functional traits. Our approach offers a generalizable analytical framework with the potential to clarify long‐standing ecological questions.
Physical layer security‐oriented energy‐efficient resource allocation and trajectory design for UAV jammer over 5G millimeter wave cognitive relay system
Authors: Sun Yangyang , Jia Xiangdong , Han Xianghua , Xie Mangang , Zhang Liang 
Published: December 2023

AbstractThis work focuses on the optimal trajectory of a rotary‐wing unmanned aerial vehicle (UAV) jammer and the system power allocation with the objective of maximizing the total secure energy efficiency (EE) of a slotted relay‐assisted millimeter wave (mm‐Wave) cognitive radio system. The UAV flies from starting location to final one in a round of communication mission that is overheard by a malicious eavesdropper. The network terminals are equipped with multiple‐input multiple‐output (MIMO) antenna array. This work first develops a practical approximation propagation model by addressing three key challenges: path loss, small‐scale Nakagami‐m fading channel gains, and transceiver antenna beamforming gains. By using the approximate model, the upper and lower bounds of the ergodic rate of each communication link are derived. Second, with the objective of maximizing secure EE, the optimal UAV trajectory and system resource allocation framework is established by considering the constraints of interference at primary receiver (PR), information‐causality relationship, rotary‐wing UAV propulsion energy and so forth. The optimal framework is solved with a tractable CVX tool by using the derived upper and lower bounds and successive convex approximation. Finally, an iterative optimizing algorithm is established by using Dinkelbach's method. In the simulation, the work presents the comparison of UAV trajectories, secure rates, and secure EEs of three schemes, that is, the proposed EE scheme, the non‐EE scheme where only the optimal secure rate is considered, and the EE scheme with the consideration of all communication‐related energy consumption. The simulations show that the EE schemes achieve smoother UAV trajectory than non‐EE, but the non‐EE scheme has higher secure rate. The impact of communication energy consumption is negligible. In addition, the effect of MIMO antenna array and mm‐Wave on system performance is exploited.
Multi‐UAV path planning utilizing the PGA algorithm for terrestrial IoT sensor network under ISAC framework
Authors: Azadur Rahman Md , Pawase Chaitali J. , Chang KyungHi 
Published: December 2023

AbstractThe integration of internet of things (IoT) technologies with unmanned aerial vehicles (UAVs) has initiated a groundbreaking revolution in data acquisition and communication systems across diverse domains. This document introduces an innovative endeavor, the integration of multi‐UAV path planning for integrated sensing and communication (ISAC) within ground‐based CAT‐M1 IoT sensor networks, accomplished through the application of the Pareto‐based genetic ant colony optimization (PGA) algorithm. The PGA algorithm is highly capable of UAV path planning due to its efficiency, adaptability, and seamless integration of domain expertise. By employing the PGA algorithm, we simultaneously minimize UAV travel distance while optimizing energy consumption, resulting in multi‐objective optimization. The synergy of ground‐based IoT sensors and seamless UAV communication, coupled with a convex optimization resource allocation algorithm, empowers real‐time data acquisition and heightens situational awareness. Our proposed UAV path planning PGA algorithm with resource allocation is crafted to maximize the efficiency of ground‐based sensor data acquisition. We stand at the forefront of advancing multi‐UAV data collection systems with this pioneering approach, promoting increased efficiency, robustness, and transformative solutions across diverse domains. The proposed system for ISAC achieves an impressive throughput of up to 95% of the system's capacity.
Impact of solar panels on runoff generation process
Authors: Baiamonte Giorgio , Gristina Luciano , Palermo Samuel 
Published: December 2023

AbstractBecause of the benefits of solar energy, solar photovoltaic (PV) technology is being deployed at an unprecedented rate and the number of photovoltaic panels is sharply increasing. Agrophotovoltaic systems (solar farms) seem to be the most sustainable tools to create renewable energy without compromising agricultural production. However, utility‐scale solar energy development is land intensive and its large‐scale installation can have negative impacts on the environment. Moreover, its impacts on soil and on relative hydrological processes have been poorly studied. This article aims to evaluate the impact of solar panels on the runoff generation process, which is directly linked to the soil erosion process. Using a rainfall simulator, runoff measurements for a rainfall intensity equal to 56 mm/h were carried out by assuming different panel arrangements with respect to the maximum slope direction of the field (cross slope and aligned slope). Results were compared to a control reference of the same plot, with no panels (bare soil). Physical models found in the literature were then applied and calibrated, to upscale the models to a much higher hillslope length. Results showed that solar panels increase the peak discharge by about 11 times compared to the reference hillslope. A moderate effect of PV panel arrangement was observed on the peak discharges (11.7 and 11.5 times higher, for cross slope and aligned slope panels, respectively), whereas the time to runoff was the lowest for aligned slope panels (0.3 h), higher for cross slope panels (0.62 h), and the highest (1.2 h), for the bare soil hillslope. As it would be expected, upscaling the models to longer hillslopes resulted in increases in outlet discharges, and in the time to runoff, with an exception for aligned slope panels.
GM‐CSF, G‐CSF or no cytokine therapy with anti‐GD2 immunotherapy for high‐risk neuroblastoma
Authors: Mora Jaume , Modak Shakeel , Kinsey Joyce , Ragsdale Carolyn E. , Lazarus Hillard M. 
Published: December 2023

AbstractColony‐stimulating factors have been shown to improve anti‐disialoganglioside 2 (anti‐GD2) monoclonal antibody response in high‐risk neuroblastoma by enhancing antibody‐dependent cell‐mediated cytotoxicity (ADCC). A substantial amount of research has focused on recombinant human granulocyte‐macrophage colony‐stimulating factor (GM‐CSF) as an adjuvant to anti‐GD2 monoclonal antibodies. There may be a disparity in care among patients as access to GM‐CSF therapy and anti‐GD2 monoclonal antibodies is not uniform. Only select countries have approved these agents for use, and even with regulatory approvals, access to these agents can be complex and cost prohibitive. This comprehensive review summarizes clinical data regarding efficacy and safety of GM‐CSF, recombinant human granulocyte colony‐stimulating factor (G‐CSF) or no cytokine in combination with anti‐GD2 monoclonal antibodies (ie, dinutuximab, dinutuximab beta or naxitamab) for immunotherapy of patients with high‐risk neuroblastoma. A substantial body of clinical data support the immunotherapy combination of anti‐GD2 monoclonal antibodies and GM‐CSF. In contrast, clinical data supporting the use of G‐CSF are limited. No formal comparison between GM‐CSF, G‐CSF and no cytokine has been identified. The treatment of high‐risk neuroblastoma with anti‐GD2 therapy plus GM‐CSF is well established. Suboptimal efficacy outcomes with G‐CSF raise concerns about its suitability as an alternative to GM‐CSF as an adjuvant in immunotherapy for patients with high‐risk neuroblastoma. While programs exist to facilitate obtaining GM‐CSF and anti‐GD2 monoclonal antibodies in regions where they are not commercially available, continued work is needed to ensure equitable therapeutic options are available globally.
The use of transcriptomic data in developing biomarkers in breast cancer
Authors: Albitar Maher , Goy Andre , Pecora Andrew , Graham Deena , McNamara Donna , Charifa Ahmad , IP Andrew , Ma Wanlong , Waintraub Stanley 
Published: December 2023

AbstractHER2 and hormone receptors are biomarkers for selecting breast cancer therapy and predicting outcomes. In the era of antibody‐drug conjugates (ADC), a relatively low HER2 expression level is adequate for targeting tumor cells. We explored the potential of RNA profiling, determined by next generation sequencing (NGS), to provide more flexible clinical biomarkers as compared with immunohistochemistry (IHC) or fluorescent in situ hybridization (FISH). Data from 57 breast cancers was used to study biomarker levels as detected by routine clinical transcriptomic tests. HER2 (ERBB2), estrogen receptor alpha (ESR1), and androgen receptor (AR) mRNA levels were compared with IHC and FISH results. There was a significant overlap in the levels of ERBB2 mRNA between cases scored by IHC as zero, 1+, and 2+. This variation correlated with progression‐free survival (PFS). Similarly, the ESR1 RNA accurately reflected estrogen receptor (ER) status. Patients with high AR mRNA had better PFS (p = 0.05). Patients expressing high ER and AR levels had better PFS than those expressing low ESR1 and AR (p = 0.03). These findings suggest that RNA analysis can be an alternative to IHC and FISH and provides continuous data that can better determine cut‐off points for predicting response to ADC.
Pharmacokinetics (PK) of Tiragolumab in First‐in‐Human Study in Patients with Mixed Solid Tumors (GO30103)
Authors: Garralda Elena , Oh Do Youn , Italiano Antoine , Bedard Philippe L. , Delord Jean‐Pierre , Calvo Emiliano , LoRusso Patricia , Wainberg Zev , Cervantes Andres , Rodriguez‐Vida Alejo , Shemesh Colby S. , Sane Rucha , Mendus Diana , Ding Hao , Hendricks Robert , Meng Ray , Cho Byoung Chul , Kim Tae Won , Wu Benjamin 
Published: December 2023

AbstractTiragolumab is a first‐in‐class, fully human IgG1/kappa anti‐TIGIT monoclonal antibody that blocks the binding of TIGIT to CD155 (the poliovirus receptor). We summarize the pharmacokinetics (PK) data from the phase 1a/1b GO30103 study of Q3W (every 3 weeks) sequential dosing of tiragolumab (2, 8, 30, 100, 400, 600, or 1200 mg) followed by atezolizumab (1200 mg), Q4W (every 4 weeks) sequential dosing (tiragolumab 840 mg followed by atezolizumab 1680 mg), and Q4W co‐infusion (tiragolumab 840 mg plus atezolizumab 1680 mg). Serum samples were collected at multiple time points following tiragolumab and atezolizumab intravenous infusion in patients with solid tumors for PK and immunogenicity assessment. The serum PK profile of tiragolumab appeared to be biphasic, with a rapid distribution phase followed by a slower elimination phase when administered alone or in combination with atezolizumab. In phase 1a, across doses of tiragolumab ranging from 2 to 1200 mg (cycle 1), the geometric mean (GM), coefficient of variation (CV%), serum tiragolumab Cmax ranged from 0.682 to 270 µg/mL (18.6% to 36.5%) and Cmin ranged from 0.0125 to 75.3 µg/mL (0.0% to 24.2%). The GM systemic exposure (area under the plasma drug concentration‐time curve, AUC0‐21) ranged from 310 to 2670 µg day/mL (20.5% to 27.0%); interindividual variability in AUC0‐21 ranged from 20.5% to 43.9%. Tiragolumab exposure increased in an approximately dose‐proportional manner when administered alone or with atezolizumab at doses ≥100 mg. Postbaseline, 4/207 patients (1.9%) were positive for treatment‐emergent antidrug antibodies (ADA) against tiragolumab, each at a single time point. Tiragolumab combined with atezolizumab demonstrated desirable PK properties, with no drug‐drug interactions or immunogenicity liability. There were no meaningful differences in tiragolumab or atezolizumab exposure between the Q4W co‐infusion and sequential dosing cohorts.ClinicalTrials.gov: NCT02794571 (date of registration June 6, 2016).
Sites of blood collection and topical disinfectants associated with contaminated cultures: An ambidirectional cohort study
Authors: Ota Koshi , Nishioka Daisuke , Hamada Emi , Ota Kanna , Shibata Yuriko , Takasu Akira 
Published: December 2023

AbstractBackgroundWe aimed to determine whether puncture sites for blood sampling and topical disinfectants are associated with rates of contaminated blood cultures in the emergency department (ED) of a single institution.MethodsThis single‐center, ambidirectional cohort study of 548 consecutive patients ≥20 years of age was performed in the ED of a university hospital in Japan over a 13‐month period. Pairs of blood samples were collected for aerobic and anaerobic cultures from patients in the ED. Physicians selected puncture sites and topical disinfectants according to their personal preference.ResultsPotential contamination was identified in 110 of the 548 patients (20.1%). One hundred fourteen (20.8%) patients showed true‐positive results for bacteremia, and 324 (59.1%) patients showed true‐negative results. Multivariate analysis revealed more frequent contamination when puncture sites were disinfected with povidone‐iodine (PVI) than with alcohol/chlorhexidine (ACHX) (adjusted risk difference, 19.1%; 95% confidence interval [CI]), 15.7–22.6; p < 0.001). In terms of blood collection sites, femoral and central venous (CV) catheter with PVI disinfection showed more frequent contamination than venous sites with ACHX (adjusted risk differences: 26.6%, 95% CI 21.3–31.9, p < 0.001 and 41.1%, 95% CI 22.2–59.9, p < 0.001, respectively).ConclusionRates of contaminated blood cultures were significantly higher when blood was collected from the CV catheter or femoral sites with PVI as the topical disinfectant.