bluuebunny/crossref_metadata_2025_split huggingface dataset:
Efficient customer behaviour prediction in Indian metropolitan cities for E‐commerce applications
Authors: Suresh B. S. , Suresh M. 
Published: April 2024

AbstractThe primary objective of this manuscript is to find the service quality factors, which influence customer satisfaction, promotional efforts taken by the retailer, and the perception of customers towards the organized retail sector. This investigation uses both offline and online retail sales datasets. Particularly, in the case of the offline retail sale dataset, an energy‐efficient analysis is conducted to collect scalable, accurate, and real‐time data. The collected data is used in enhancing several aspects of e‐commerce operations, including customer experience optimization and inventory management, which results in better decision‐making with increased efficiency. After data collection, the outliers are eliminated by implementing the z‐score technique. The removal of outliers increases the variability of collected data which reduces statistical power. The statistically sufficient data are given to the Randomized Grasshopper Optimization Algorithm (RGOA) for optimal instance selection. Finally, the selected optimal instances are given to the deep neural network (DNN) model for future customer behaviour prediction. The efficacy of the RGOA‐DNN model is analysed by using evaluation measures like mean squared error (MSE), root mean squared error (RMSE), mean absolute error (MAE), mean percentage error (MPE) and mean absolute percentage error (MAPE). The numerical analysis states that the RGOA‐DNN model obtained a minimal error rate with MSE of 0.09 and 0.10, RMSE of 0.13 and 0.14, MAE of 0.12 and 0.16, MPE of 0.10 and 0.11 and MAPE of 0.08 and 0.10 on the offline and online retail sales datasets. The RGOA‐DNN model has a minimal error rate in future customer behaviour prediction related to the conventional regression models. Furthermore, the elimination of inactive instances or selection of optimal instances reduces the model complexity to linear and computational time to 22.10 and 23.12 s on the offline and online retail sales datasets.
Local representation‐based neighbourhood for robust classification
Authors: Yao Zihan , Qu Yanpeng , Yang Longzhi , Tan Yi , Shang Changjing , Chao Fei , Shen Qiang 
Published: April 2024

AbstractRepresentation‐based classification (RC) is an effective gauge of data similarity between a single instance and the whole dataset, which extends traditional individual‐wise distance metrics using representation coefficients. These coefficients show remarkable discrimination nature via various regularisation terms, but the interference from potentially uncorrelated objects involved in this single‐to‐global relation can degrade the effectiveness of the coefficients. In order to filter out those unproductive, or even counter‐productive, information from the decision making processes, this paper proposes a local representation‐based classification (LRC) algorithm to improve the classification accuracy or the RC approach. LRC uses a single‐to‐local relation induced by the local representation‐based neighbourhood (LRN) of each object, rather than the single‐to‐global relationship used by RC. Thanks to LRN, a compact and relevant dataset can be formed by selecting the most relevant data instances in the original dataset, to render a robust representation of a query. LRC was applied to multiple publicly available datasets, and the experimental results demonstrate the superiority of the proposed LRC algorithm as evidenced by the higher classification accuracy and more noise‐tolerant capability in reference to alternative RC approaches. Moreover, the sampling ability of LRN is also verified via a comparative study.
A reconstructed genome‐scale metabolic model of Helicobacter pylori for predicting putative drug targets in clarithromycin and rifampicin resistance conditions
Authors: Mofidifar Sepideh , Yadegar Abbas , Karimi‐Jafari Mohammad Hossein 
Published: April 2024

AbstractBackgroundHelicobacter pylori is considered a true human pathogen for which rising drug resistance constitutes a drastic concern globally. The present study aimed to reconstruct a genome‐scale metabolic model (GSMM) to decipher the metabolic capability of H. pylori strains in response to clarithromycin and rifampicin along with identification of novel drug targets.Materials and MethodsThe iIT341 model of H. pylori was updated based on genome annotation data, and biochemical knowledge from literature and databases. Context‐specific models were generated by integrating the transcriptomic data of clarithromycin and rifampicin resistance into the model. Flux balance analysis was employed for identifying essential genes in each strain, which were further prioritized upon being nonhomologs to humans, virulence factor analysis, druggability, and broad‐spectrum analysis. Additionally, metabolic differences between sensitive and resistant strains were also investigated based on flux variability analysis and pathway enrichment analysis of transcriptomic data.ResultsThe reconstructed GSMM was named as HpM485 model. Pathway enrichment and flux variability analyses demonstrated reduced activity in the ribosomal pathway in both clarithromycin‐ and rifampicin‐resistant strains. Also, a significant decrease was detected in the activity of metabolic pathways of clarithromycin‐resistant strain. Moreover, 23 and 16 essential genes were exclusively detected in clarithromycin‐ and rifampicin‐resistant strains, respectively. Based on prioritization analysis, cyclopropane fatty acid synthase and phosphoenolpyruvate synthase were identified as putative drug targets in clarithromycin‐ and rifampicin‐resistant strains, respectively.ConclusionsWe present a robust and reliable metabolic model of H. pylori. This model can predict novel drug targets to combat drug resistance and explore the metabolic capability of H. pylori in various conditions.
Comparative structural study of Al2O3–SiO2 glasses and amorphous thin films
Authors: Khemis Sirine Ben , Cormier Laurent , Burov Ekaterina , Montigaud Hervé , Baptiste Benoit , Nowak Sophie 
Published: April 2024

AbstractWe compared the impact of alumina doping on the structure of Al2O3–SiO2 amorphous thin films and bulk glasses using Raman spectroscopy and x‐ray diffraction. In both thin films and bulk glasses, the addition of Al2O3 is accompanied by an increase in the mean Si–O–T angle and an evolution of the ring statistics with a decrease in the proportion of small rings. We evidenced structural differences between sputtered films and fused bulk glasses. Sputtered Al2O3–SiO2 thin films are about 6%–7% denser than their equivalent Al2O3–SiO2 bulk glasses. This difference is mainly due to a change in ring statistics with the formation of small rings within the sputtered thin films. These structural differences in atomic structural organization highlight the impact of the synthesis conditions and open the door to further investigation of the structure–functional property relationships in sputtered Al2O3–SiO2 thin films.
Linear indurated plaque over the neck
Authors: K Shreya , Thakur Vishal , Sethy Madhusmita , Sahu Deepak K. , Behera Biswanath 
Published: April 2024

AbstractIsolated cutaneous swelling can have varied etiologies. The clinical diagnosis is usually difficult, and a correct diagnosis always requires a pathological examination. Hereby, we report a case of linear keloidal morphea on the neck of an 18‐year‐old male who presented with an asymptomatic, firm lesion for 6 months. Histopathological examination was consistent with morphea. This case highlights the uncommon form of morphea in an unusual location, which can be misdiagnosed for numerous neoplastic conditions and for which simple histopathological evaluation can clinch the diagnosis.
Real‐world short‐term outcomes of prostate urethral lift in Japan: A prospective cohort study
Authors: Kato Yuki , Kamatani Aya , Shigehara Kazuyoshi , Mizokami Atsushi 
Published: April 2024

ObjectivesWe report the first prospective trial of prostatic urethral lift for the treatment of lower urinary tract symptoms associated with benign prostatic hyperplasia in Japan.MethodsThis prospective study was conducted at a single institution and included patients with benign prostatic hyperplasia who underwent prostatic urethral lift based on the Japanese surgical indication. The primary efficacy endpoint was reduced international prostatic symptoms score in the early postoperative period after prostatic urethral lift. To assess efficacy, international prostatic symptoms score, quality of life, sexual health inventory for men, and uroflowmetry were evaluated 2 weeks before, 2 weeks after, and 6 weeks after surgery.ResultsWe enrolled 120 elderly men. The patients experienced significantly reduced international prostatic symptoms scores from 15 at the baseline to 13 at 2 weeks, and to 10 at 6 weeks, respectively. The peak flow rates did not change significantly at any time point. Three patients had serious adverse events of grade 3a in the Clavien–Dindo classification. Four patients were evaluated for sexual function, and none had ejaculatory dysfunction.ConclusionIn the Japanese population, prostatic urethral lift is reliably performed under local anesthesia and rapidly improves symptoms.
Multicenter evaluation of the safety and efficacy of selective internal radiation therapy with yttrium‐90 resin microspheres in Taiwan: data from the RESIN registry
Authors: Lee Rheun‐Chuan , Liang Po‐Chin , Liang Huei‐Lung , Chen Yung‐Fang , Yu Chun‐Yen , Cheng Pin‐Nan , Hung Chien‐Fu , Hsia Cheng‐Yuan , Lai Hsueh‐Chou , Ho Ming‐Chih , Cheng Yu‐Fan , Liu Yi‐Sheng , Chao Yee , Chen Chien‐Hung 
Published: April 2024

AbstractBackground and AimThe REgistry of Selective Internal radiation therapy in AsiaNs (RESIN) was a multicenter, single‐arm, prospective, observational study of 90Y resin microspheres in patients with hepatocellular carcinoma (HCC) or metastatic colorectal cancer (mCRC) from Taiwan. RESIN is the first real‐life clinical study of this therapy in an Asian cohort. Study objectives were to evaluate the safety and efficacy of 90Y resin microspheres.MethodsAdults with HCC or mCRC scheduled to receive SIRT with 90Y resin microspheres were included. Primary endpoints were best overall response rate (ORR), adverse events, and changes from baseline in liver function. Secondary efficacy endpoints included overall survival (OS).ResultsOf 107 enrolled patients, 83 had HCC, and 24 had mCRC. ORR was 55.41% (HCC) and 33.33% (mCRC). Of 58 HCC patients with 6‐month post‐SIRT data, 13.79% (n = 8) had resection, transplantation, transarterial chemoembolization, or radiofrequency ablation as the result of down‐staging or down‐sizing of their lesions. One hundred and ten treatment emergent adverse events (TEAEs) were reported in 51 patients, and five serious adverse events (SAEs) were reported in five patients. The most frequent TEAEs were abdominal pain, nausea and decreased appetite (HCC), and abdominal pain, decreased appetite, fatigue, and vomiting (mCRC). Two deaths due to SAEs (probably related to SIRT) were reported, both in patients with extensive HCC, active hepatitis infection, and other comorbidities. Median OS was 24.07 (HCC) and 12.66 (mCRC) months.ConclusionsSafety and efficacy outcomes with the routine use of SIRT with 90Y resin microspheres in Taiwan are consistent with published data.
Characterizing nursing time with patients using computer vision
Authors: Sun Carolyn , Fu Caroline , Cato Kenrick 
Published: April 2024

AbstractBackgroundCompared to other providers, nurses spend more time with patients, but the exact quantity and nature of those interactions remain largely unknown. The purpose of this study was to characterize the interactions of nurses at the bedside using continuous surveillance over a year long period.MethodsNurses' time and activity at the bedside were characterized using a device that integrates the use of obfuscated computer vision in combination with a Bluetooth beacon on the nurses' identification badge to track nurses' activities at the bedside. The surveillance device (AUGi) was installed over 37 patient beds in two medical/surgical units in a major urban hospital. Forty‐nine nurse users were tracked using the beacon. Data were collected 4/15/19–3/15/20. Statistics were performed to describe nurses' time and activity at the bedside.ResultsA total of n = 408,588 interactions were analyzed over 670 shifts, with >1.5 times more interactions during day shifts (n = 247,273) compared to night shifts (n = 161,315); the mean interaction time was 3.34 s longer during nights than days (p < 0.0001). Each nurse had an average of 7.86 (standard deviation [SD] = 10.13) interactions per bed each shift and a mean total interaction time per bed of 9.39 min (SD = 14.16). On average, nurses covered 7.43 beds (SD = 4.03) per shift (day: mean = 7.80 beds/nurse/shift, SD = 3.87; night: mean = 7.07/nurse/shift, SD = 4.17). The mean time per hourly rounding (HR) was 69.5 s (SD = 98.07) and 50.1 s (SD = 56.58) for bedside shift report.DiscussionAs far as we are aware, this is the first study to provide continuous surveillance of nurse activities at the bedside over a year long period, 24 h/day, 7 days/week. We detected that nurses spend less than 1 min giving report at the bedside, and this is only completed 20.7% of the time. Additionally, hourly rounding was completed only 52.9% of the time and nurses spent only 9 min total with each patient per shift. Further study is needed to detect whether there is an optimal timing or duration of interactions to improve patient outcomes.Clinical RelevanceNursing time with the patient has been shown to improve patient outcomes but precise information about how much time nurses spend with patients has been heretofore unknown. By understanding minute‐by‐minute activities at the bedside over a full year, we provide a full picture of nursing activity; this can be used in the future to determine how these activities affect patient outcomes.
Theories of market selection
Authors: Fontanelli Luca 
Published: April 2024

AbstractWe provide a survey of the main mechanisms of market selection used in economics. We categorize existing theories into three broad classes—evolutionary selection, reduced form selection, and rational equilibrium—based on their adopted selection mechanisms. Each paradigm is explored in terms of underlying laws of selection, searching for elements of convergence and divergence in epistemological approaches, hypotheses, and results. The comparison of these paradigms reveals convergences in research directions, particularly in replicating empirical patterns related to firm heterogeneity and acknowledging the role of increasing returns. However, these paradigms diverge in key assumptions and results, including emphasis on model outcomes, sources of increasing returns, mechanisms generating firm heterogeneity, and assumptions regarding firm rationality. The discussion highlights that these differences stem from the epistemological foundations of paradigms. The survey contributes to a nuanced understanding of market selection mechanisms within diverse theoretical frameworks, emphasizing both areas of convergence and divergence among them.
Effects of extraoral storage time on autologous gingival graft early healing: A split‐mouth randomized study
Authors: Zaiger James , Leblebicioglu Binnaz , Meirelles Luiz , Lu Wei‐En , Schumacher Fernanda L. , Tatakis Dimitris N. 
Published: April 2024

AbstractAimsDespite the established use of palatal tissue grafts for mucogingival procedures, there are no studies on the effect of extraoral storage time on graft outcomes. This prospective split‐mouth randomized experimental clinical trial aimed to assess whether gingival graft extraoral storage time affects graft healing.MethodsStandardized grafts were harvested from the palate and stored extraorally for 2 (Control) or 40 (Test) minutes before being placed at recipient beds. Intraoral scans, clinical photographs, and tissue blood perfusion were obtained preoperatively, postoperatively, and at follow‐up visits (Days 2 (PO2), 3 (PO3), 7 (PO7), and 14 (PO14)). Healing Score Index (HSI) and wound fluid (WF) biomarkers (angiogenin, IL‐6, IL‐8 (CXCL8), IL‐33, VEGF‐A, and ENA‐78 (CXCL5)) were also assessed.ResultsTwenty‐three participants completed all study visits. Extraoral storage time was 2.3 ± 1.1 min and 42.8 ± 3.4 min for C and T grafts, respectively (p < .0001). Recipient beds remained open for 21.4 ± 1.7 min. No graft underwent necrosis or failed to heal by PO14. Minimal volumetric changes were observed, without significant intergroup differences (p ≥ .11). Graft perfusion initially decreased post‐harvesting before peaking on PO7 for both C and T grafts, with no significant intergroup differences (p ≥ .14). HSI values progressively increased, with no significant intergroup differences (p ≥ .22). WF analysis revealed detectable levels for all biomarkers tested, without significant intergroup differences (p ≥ .23).ConclusionExtraoral storage time of 40 min has neither statistically significant nor clinically discernible effects on autologous graft revascularization, early healing, or survival, as determined by physiological, wound healing, and molecular parameters.
Effects of circadian variation of dietary protein sources on growth performance, carcass composition and intestinal enzyme activity in beluga, Huso huso
Authors: Najafi Zeinab , Ouraji Hossein , Yeganeh Sakineh , Farhadi Ayoub 
Published: April 2024

AbstractThe main cost in aquaculture production is feed, so management practices and feeding strategies aim to optimize both feed intake and efficiency. This study aimed to evaluate the growth performance of beluga, Huso huso, affected by periodic changes in dietary protein sources and hence identify possible innovative feeding strategies toward more efficient use of dietary protein. This study was designed with two experimental diets, namely fish meal (diet A) and plant protein blend (diet B) (protein 40%, fat 16%), which were used in different food schedules for feeding beluga (initial weight 82.08 ± 4.1 g) during 8 weeks. The experimental treatments included: continuously feeding a fish meal diet (A); continuously feeding a plant protein diet (B); alternating between diet A in the morning and diet B in the afternoon (A am/B pm); alternating between diet B in the morning and diet A in the afternoon (B am/A pm); and alternating between diet A for one day and diet B for one day (1A/1B). At the end of the eight‐week trial, superior growth performance and feed utilization were respectively observed in fish receiving A, Bam/Apm, and Aam/Bpm diets compared with the remaining treatments. The specific activity of trypsin and chymotrypsin was significantly high in fish fed Aam/Bpm and Bam/Apm. Feeding the fish‐meal‐based diet (A) continuously, led to decreased protein and increased fat deposition in the carcass. Among the mixed feeding schedules, the highest cost‐saving was recorded with the Aam/Bpm and Bam/Apm schedules. Based on economic analysis, applying Aam/Bpm and Bam/Apm schedules led to the reduced cost of beluga production compared with the other treatments. Therefore, the optimal feeding schedules for beluga are Aam/Bpm and Bam/Apm, which should be used as a practical feeding guideline for H. huso production.
Effect of orthodontic space closure on dental pulp sensitivity. Prospective clinical trial
Authors: Golež Aljaž , Ovsenik Maja , Cankar Ksenija 
Published: April 2024

AbstractBackgroundOrthodontic tooth movement (OTM) is a biological process that can influence the function of the pulp, including its innervation. The excitability of the nerve fibres of the pulp may be altered by forces exerted on the nerve fibres or by reduced blood flow to the pulp. The aim of this clinical study was to evaluate the sensitivity of the dental pulp during levelling and during the phase of space closure, to assess the role of certain controlled risk factors.MethodsTwenty‐two adolescent participants requiring orthodontic space closure in transcanine sector were enrolled in a prospective clinical study. Patients were observed before OTM, after levelling and 1 month during active space closure. The sensitivity threshold of the pulp was measured using the electric pulp test (EPT). Dental models were obtained using an intraoral scanner, allowing measurement of interdental distances and calculation of OTM speed. The teeth were categorized according to position and tooth type.ResultsThe EPT values increased significantly during orthodontic treatment (one‐way RM‐ANOVA, P = .014). There was a significant difference in EPT values between the tooth categories. Teeth with a single root adjacent to the residual space had the highest EPT thresholds (two‐way RM‐ANOVA, P < .001; Holm‐Sidak, P < .05).ConclusionsOTM reduced pulpal sensitivity. Pulpal sensitivity during active space closure was similar to sensitivity during the levelling phase. The pulpal sensitivity of molars was less affected by OTM than that of single‐rooted teeth, while teeth closer to the gap had a significantly higher pulpal sensitivity threshold during active OTM.
Elucidating the modulatory effect of melatonin on enzyme activity and oxidative stress in wheat: a global meta‐analysis
Authors: Muhammad Ihsan , Khan Ahmad , Mustafa Abd El‐Zaher M. A. , Elshikh Mohamed S. , Shen Weijun 
Published: April 2024

AbstractIn our comprehensive meta‐analysis, we initially collected 177 publications focusing on the impact of melatonin on wheat. After meticulous screening, 40 published studies were selected, encompassing 558 observations for antioxidant enzymes, 312 for reactive oxygen species (ROS), and 92 for soluble biomolecules (soluble sugar and protein). This analysis revealed significant heterogeneity across studies (I2 > 99% for enzymes, ROS, and soluble biomolecules) and notable publication bias, indicating the complexity and variability in the research field. Melatonin application generally increased antioxidant enzyme activities [superoxide dismutase (SOD), peroxidase (POD), catalase (CAT), and ascorbate peroxidase (APX)] in wheat, particularly under stress conditions, such as high temperature and heavy‐metal exposure. Compared to control, melatonin application increased SOD, POD, CAT, and APX activities by 29.5, 16.96, 35.98, and 171.64%, respectively. Moreover, oxidative stress markers like hydrogen peroxide (H2O2), superoxide anion (O2), and malondialdehyde (MDA) decreased with melatonin by 23.73, 13.64, and 21.91%, respectively, suggesting a reduction in oxidative stress. The analysis also highlighted melatonin's role in improving carbohydrate metabolism and antioxidant defenses. Melatonin showed an overall increase of 12.77% in soluble sugar content, and 22.76% in glutathione peroxidase (GPX) activity compared to the control. However, the effects varied across different wheat varieties, environmental conditions, and application methods. Our study also uncovered complex relationships between antioxidant enzyme activities and H2O2 levels, indicating a nuanced regulatory role of melatonin in oxidative stress responses. Our meta‐analysis demonstrates the significant role of melatonin in increasing wheat resilience to abiotic stressors, potentially through its regulatory impact on antioxidant defense systems and stress response.