bluuebunny/crossref_metadata_2025_split huggingface dataset:
Wie, wat en hoe? De weg naar een gezondere supermarktomgeving
Authors: Middel Cédric N. H. , Schuitmaker-Warnaar Tjerk Jan , Mackenbach Joreintje D. , Broerse Jacqueline E. W. 
Published: November 2023

Samenvatting
Inleiding
Gezondheidsinterventies in supermarkten kunnen gezonder eetgedrag stimuleren. Helaas wordt de implementatie bemoeilijkt door weerstand vanuit het Nederlandse voedselsysteem. Dit onderzoek gebruikt een ‘roadmapping’-methode uit de systeemwetenschappen om de weg naar een gezondere voedselomgeving in Nederlandse supermarkten in kaart te brengen.

Methode
Er werd een dialoogworkshop gehouden met vertegenwoordigers (n = 13) van belanghebbenden in het Nederlandse voedselsysteem. Een jaar later werden nieuwe (n = 13) en terugkerende (n = 1) vertegenwoordigers geïnterviewd. Afsluitend werd een consensusworkshop gehouden met oud-participanten uit beide jaren (n = 5). De deelnemers bespraken doelstellingen voor een gezondere supermarkt-voedselomgeving, en bijbehorende acties, barrières, facilitatoren en relevante actoren. De uitkomsten werden kwalitatief geanalyseerd en gecombineerd in één routekaart.

Resultaten
Acht themaclusters werden geïdentificeerd: 1) kennisontwikkeling, 2) educatie van consumenten, 3) (zelf)regulering, 4) individuele verandering (door supermarkten), 5) gezondere producten, 6) prijsbeleid, 7) ruimtelijke ordening en 8) marketing. Een belangrijke bevinding was het belang van een ‘gelijk speelveld’ voor supermarkten, via overheidsbeleid, om te voorkomen dat klanten overlopen naar ‘niet-gezondheidsbevorderende’ concurrenten.

Conclusie
De routekaart beschrijft hoe de Nederlandse supermarkt-voedselomgeving gezonder kan worden. Hierin heeft de overheid de cruciale taak om een gelijk speelveld met gezonde prikkels te creëren voor supermarkten en voedselproducenten. Het vergroten van het maatschappelijk draagvlak en identificeren van effectieve beleidsmaatregelen zijn daarbij belangrijke randvoorwaarden.
Theta Frequency Electromagnetic Stimulation Enhances Functional Recovery After Stroke
Authors: Okabe Naohiko , Hovanesyan Mary , Azarapetian Srbui , Dai Weiye , Weisinger Batsheva , Parabucki Ana , Balter Shira Reznik , Shohami Esther , Segal Yaron , Carmichael S. Thomas 
Published: November 2023

AbstractExtremely low-frequency, low-intensity electromagnetic field (ELF-EMF) therapy is a non-invasive brain stimulation method that can modulate neuroprotection and neuroplasticity. ELF-EMF was recently shown to enhance recovery in human stroke in a small pilot clinical trial (NCT04039178). ELF-EMFs encompass a wide range of frequencies, typically ranging from 1 to 100 Hz, and their effects can vary depending on the specific frequency employed. However, whether and to what extent the effectiveness of ELF-EMFs depends on the frequency remains unclear. In the present study, we aimed to assess the efficacy of different frequency-intensity protocols of ELF-EMF in promoting functional recovery in a mouse cortical stroke model with treatment initiated 4 days after the stroke, employing a series of motor behavior tests. Our findings demonstrate that a theta-frequency ELF-EMF (5 Hz) effectively enhances functional recovery in a reach-to-grasp task, whereas neither gamma-frequency (40 Hz) nor combination frequency (5–16-40 Hz) ELF-EMFs induce a significant effect. Importantly, our histological analysis reveals that none of the ELF-EMF protocols employed in our study affect infarct volume, inflammatory, or glial activation, suggesting that the observed beneficial effects may be mediated through non-neuroprotective mechanisms. Our data indicate that ELF-EMFs have an influence on functional recovery after stroke, and this effect is contingent upon the specific frequency used. These findings underscore the critical importance of optimizing the protocol parameters to maximize the beneficial effects of ELF-EMF. Further research is warranted to elucidate the underlying mechanisms and refine the protocol parameters for optimal therapeutic outcomes in stroke rehabilitation.
A Fischer type decomposition theorem from the apolar inner product
Authors: Aldaz J. M. , Render H. 
Published: November 2023

AbstractWe continue the study initiated by H. S. Shapiro on Fischer decompositions of entire functions, showing that such decomposition exist in a weak sense (we do not prove uniqueness) under hypotheses regarding the order of the entire function f to be expressed as $$f= P\cdot q+r$$

f
=
P
·
q
+
r

, the polynomial P, and bounds on the apolar norm of homogeneous polynomials of degree m. These bounds, previously used by Khavinson and Shapiro, and by Ebenfelt and Shapiro, can be interpreted as a quantitative, asymptotic strengthening of Bombieri’s inequality. In the special case where both the dimension of the space and the degree of P are two, we characterize for which polynomials P such bounds hold.
Influence of seasonal air density fluctuations on wind speed distribution in complex terrains in the context of energy yield
Authors: Hoxha Bukurije , Kuriqi Alban , Filkoski Risto V. 
Published: November 2023

AbstractGiven the variable nature of wind speed and the importance of accurately determining the energy that can be generated at a given site, understanding the wind speed at different time scales is crucial. In addition to differences within a very short period (i.e., hourly and daily), these changes are also pronounced throughout the seasons. They are affected by the atmospheric conditions and the terrain's complexity. Therefore, this study investigates the seasonal wind speed variability and its impact on the potential energy generation in a representative study case of Koznica, the mountainous region in Kosovo. The wind speed measurements campaign started in May 2019 and ended in April 2020; the measurements were made at a 10 min time scale. Ground measurements show that the wind direction is mainly northwest and southeast. Then, the wind speed and potential energy generation variability analysis were conducted for three different measurement heights. The results show that winter and spring have the highest potential wind energy capacity with an average speed of 6.7 m/s. In comparison, the average wind speed is 6.12 m/s. Potential energy generation for each season (i.e., spring, summer, autumn, and winter is as follows: 64,396.7, 22,040.3, 42,539.3, and 46,417.2 MWh/year, respectively, while the average capacity factor is 25%. Solution-oriented findings from this study might provide valuable insights to policymakers and investors regarding wind power energy exploration in Kosovo and other places with similar geo-climatic conditions.
Optimal design and characteristics of sustainable eco-friendly ultra-high-performance concrete
Authors: Mashaly Asmaa A. , Mahdy Mohamed G. , Elemam Walid E. 
Published: November 2023

AbstractSustainable eco-friendly ultra-high-performance concrete (UHPC) is a remarkable innovation in construction technology. This research aims to develop sustainable UHPC by incorporating various supplementary materials, including silica fume (SF), glass powder (GLP), fly ash (FA), limestone powder (LP), and granite powder (GrP), as partial replacements for cement and fine aggregate. To achieve this goal, a total of twenty-seven concrete mixtures were designed using response surface methodology (RSM) and tested in order to determine the optimal combination of these supplementary materials for enhancing the mechanical properties of UHPC. Mathematical models were constructed using analysis of variance (ANOVA) test. The results of the study suggest that it is indeed possible to produce sustainable UHPC with reduced CO2 emissions and improved mechanical properties by utilizing the suggested supplementary materials. In particular, the compressive and flexural strengths of the concrete significantly improved when high proportions of LP, SF and GLP, and low proportions of FA and GrP were used. Among the various mixtures tested, the mixture containing 12.5% SF, 15% FA, and 10% GLP as partial replacements of cement, along with 12.5% GrP and 50% LP as partial replacements of fine aggregate, exhibited the highest compressive and flexural strength at all curing ages, the compressive strength was 133, 175.8, 180.2 MPa at age 7, 28 and 90 days, respectively, meanwhile the flexural strength was 38.5 MPa at age 28 days. The SEM results revealed that the higher proportion of LP, FA, and GLP contributed to an enhanced concrete microstructure, further validating the positive impact of these supplementary materials on UHPC's mechanical properties.
Antibacterial activity of biosynthesized zinc oxide nanoparticles using Kombucha extract
Authors: El-Fallal Amira A. , Elfayoumy Reham A. , El-Zahed Mohamed M. 
Published: November 2023

AbstractAntibacterial resistance is a growing global vital medical problem when the innovation and development of new antibiotics are dwindling. Different nanomaterials were synthesized and developed as safe and effective alternative antimicrobial agents. The current study highlights the effect of the antibacterial activity of newly biosynthesized zinc oxide nanoparticles (ZnO NPs) obtained from Kombucha extract. Production of ZnO NPs was optimized and the synthesized nanoparticles were characterized using UV–visible spectroscopy, Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), Zeta potential and transmission electron microscope (TEM) analysis. The optimum conditions for ZnO NPs production were at temperature 30 °C, pH 9 and 25 mM of Zn(NO3)2.6H2O. The ZnO NPs biosynthesis was detected in the extract within 24 h. at 35 °C in dark conditions. The XRD pattern displayed 100, 101, 110, and 103 crystal planes. FTIR spectrum showed bands of 1° and 2° amines at 2922.6 cm−1 and a stretching vibration band of vinyl at 1657.5 cm−1. In addition, the results confirmed the positive charge (19 ± 3 mV) and crystalline nature of spherical-shaped ZnO NPs with an average size of 23 ± 1.5 nm. The antibacterial activity of ZnO NPs was tested against different American-type culture collection strains. ZnO NPs exhibited minimum inhibition concentration (MIC) values of 25 µg/ml against Escherichia coli ATCC25922, 30 µg/ml against Staphylococcus aureus ATCC25923 and Pseudomonas aeruginosa ATCC27853, 35 µg/ml against Serratia liquefaciens OQ071699.1 and S. saprophyticus OQ071703.1 and 40 µg/ml against Lysinibacillus fusiformis OQ071701.1 and Klebsiella pneumoniae ATCC33495. Ultrastructure TEM study of the treated bacteria by MIC of ZnO NPs confirmed their highly toxic action on the bacterial cell wall, resulting in bacterial cell membrane rupture. Treated bacteria appeared as extensively damaged cells with the formation of vacuoles and lipids. The provided approach of ZnO NPs in combination with Kombucha SCOBY has a promising future in overcoming bacterial resistance problems in place of using antibiotics.
Simultaneous Extraction of Valuable Metals from Iron-Containing Residues by Selective Chlorination and Evaporation
Authors: Steinlechner S. , Witt K. 
Published: November 2023

AbstractIn different nonferrous metal-producing industry sectors, the impurity element iron has to be removed from the process solution. Examples for the arising residues are jarosite or goethite precipitates from nickel or zinc production but also red mud from aluminum production. Regardless of environmental concerns, the material is landfilled in almost any case, although valuables such as indium, silver, nickel, or zinc are present in considerable amounts. Within the presented research, a low carbon dioxide emitting multi-metal recovery from such iron-containing residues by means of a selective chlorination extraction has been fundamentally evaluated by experiments but also by comprehensive thermodynamic calculations. The paper summarizes the thermodynamic fundamental concept exploited to separate the dominating iron matrix from the valuable elements and shows verification experiments in a lab size of several grams. Through thermodynamic calculations and small-scale experiments with pure metal oxides and sulfates, it has been proven that the metal chlorides AlCl3∙6H2O, FeCl3∙6H2O, and MgCl2∙6H2O are viable and effective reactants for chlorination. In trials with actual industrial iron precipitation residues from the zinc industry, especially, the use of MgCl2∙6H2O and FeCl3∙6H2O leads to high extraction rates for the investigated valuable metals Ag, Au, Bi, Cu, In, Pb, Sn, and Zn.
Connecting Clinical Capacity and Intervention Sustainability in Resource-Variable Pediatric Oncology Centers in Latin America
Authors: McKay Virginia , Chen Yichen , Prewitt Kim , Malone Sara , Puerto-Torres Maria , Acuña-Aguirre Carlos , Alfonso-Carreras Yvania , Alvarez-Arellano Shilel Y. , Andrade-Sarmiento Leticia A. , Arce-Cabrera Daniela , Argüello-Vargas Deiby , Barragán-García Mariuxy D. C. , Batista-Del-Cid Rosario , Blasco-Arriaga Erika E. , Cach-Castaneda Maria D. C. , Ceballo-Batista Gloria I. , Chávez-Rios Mayra , Costa Maria E. , Cuencio-Rodriguez Maria E. , Diaz-Coronado Rosdali , Fing-Soto Ever A. , García-Sarmiento Teresa D. J. , Gómez-García Wendy C. , Hernández-González Cinthia J. , Jimenez-Antolinez Yajaira V. , Juarez-Tobias Maria S. , León-López Esmeralda M. , Lopez-Facundo Norma A. , Martínez Soria Ruth A. , Miralda-Méndez Scheybi T. , Montalvo Erika , Pérez-Alvarado Carlos M. , Perez-Fermin Clara K. , Quijano-Lievano Monica L. , Salas-Mendoza Beatriz , Sanchez-Fuentes Edwin E. , Serrano-Landivar Marcia X. , Soto-Chavez Veronica , Tejocote-Romero Isidoro , Valle Sergio , Vasquez-Roman Elizabeth A. , Costa Juliana Texeira , Cardenas-Aguirre Adolfo , Devidas Meenakshi , Luke Douglas A. , Agulnik Asya 
Published: November 2023

AbstractClinical capacity for sustainability, or the clinical resources needed to sustain an evidence-based practice, represent proximal determinants that contribute to intervention sustainment. We examine the relationship between clinical capacity for sustainability and sustainment of PEWS, an evidence-based intervention to improve outcomes for pediatric oncology patients in resource-variable hospitals. We conducted a cross-sectional survey among Latin American pediatric oncology centers participating in Proyecto Escala de Valoración de Alerta Temprana (EVAT), an improvement collaborative to implement Pediatric Early Warning Systems (PEWS). Hospitals were eligible if they had completed PEWS implementation. Clinicians were eligible to participate if they were involved in PEWS implementation or used PEWS in clinical work. The Spanish-language survey consisted of 56 close and open-ended questions about the respondent, hospital, participants’ assessment of clinical capacity to sustain PEWS using the clinical sustainability assessment tool (CSAT), and perceptions about PEWS and its use as an intervention. Results were analyzed using a multi-level modeling approach to examine the relationship between individual, hospital, intervention, and clinical capacity determinants to PEWS sustainment. A total of 797 responses from 37 centers in 13 countries were included in the analysis. Eighty-seven percent of participants reported PEWS sustainment. After controlling for individual, hospital, and intervention factors, clinical capacity was significantly associated with PEWS sustainment (OR 3.27, p < .01). Marginal effects from the final model indicate that an increasing capacity score has a positive influence (11% for every additional CSAT point) of predicting PEWS sustainment. PEWS is a sustainable intervention and clinical capacity to sustain PEWS contributes meaningfully to PEWS sustainment.
Pandemic insights: what COVID-19 has revealed about traditional rounding structure
Authors: Czapka Michael , Lehmann Christopher 
Published: November 2023

AbstractDue to social distancing policies and concerns over patient and provider safety, early in the COVID-19 pandemic many healthcare institutions temporarily converted to various, non-traditional rounding models. The abrupt and unprecedented change in workflow has enabled re-assessment of the reasons for the traditional rounding structures in medical education and comparison to newer strategies for rounding which have developed out of necessity during the pandemic. In this Perspectives article, we examine the positive and negative aspects of rounding models borne out of the pandemic and suggest aspects which may be carried forward, as well as future directions for research.
Modeling online customer purchase intention behavior applying different feature engineering and classification techniques
Authors: Satu Md. Shahriare , Islam Syed Faridul 
Published: November 2023

AbstractIn the evolution of digital technology, e-commerce sectors are gradually changing to realize customers’ demands and supply required things with low cost and due time. Recently, various machine learning techniques have been used to investigate different activities of customers and estimate different characteristics and requirements of customers. The goal of this work is to propose a machine-learning model that employs multiple data analytics and machine learning techniques to manipulate customer records and predict their buying intention more precisely. In this study, we collected an online shoppers’ purchasing intention dataset from a public data repository. Different feature transformation methods were employed in the primary dataset and generated its transformed datasets. Besides, we balanced the transformed datasets and detected outliers from them. Then, we applied different feature selection methods into primary and transformed-balanced datasets and again generated several feature subsets. Finally, various state-of-the-art classifiers were employed in primary, transformed, and all of their generated subsets. Then, different outcomes of the proposed model were analyzed and Random Forest was found as the stable classifier that produces more feasible results for any online shoppers’ buying instances. In this work, this classifier provided the best accuracy of 92.39% and f-score of 0.924 for the Z-Score and Gain Ratio transformed subset. In addition, it gave the highest AUROC of 0.975 for the Square Root and Information Gain subset. We also found Z-Score transformation and Information Gain more reliable methods to convert online shoppers’ customer intention dataset and get more feasible results from different classifiers.
Lexical Normalization Using Generative Transformer Model (LN-GTM)
Authors: Ashmawy Mohamed , Fakhr Mohamed Waleed , Maghraby Fahima A. 
Published: November 2023

AbstractLexical Normalization (LN) aims to normalize a nonstandard text to a standard text. This problem is of extreme importance in natural language processing (NLP) when applying existing trained models to user-generated text on social media. Users of social media tend to use non-standard language. They heavily use abbreviations, phonetic substitutions, and colloquial language. Nevertheless, most existing NLP-based systems are often designed with the standard language in mind. However, they suffer from significant performance drops due to the many out-of-vocabulary words found in social media text. In this paper, we present a new (LN) technique by utilizing a transformer-based sequence-to-sequence (Seq2Seq) to build a multilingual characters-to-words machine translation model. Unlike the majority of current methods, the proposed model is capable of recognizing and generating previously unseen words. Also, it greatly reduces the difficulties involved in tokenizing and preprocessing the nonstandard text input and the standard text output. The proposed model outperforms the winning entry to the Multilingual Lexical Normalization (MultiLexNorm) shared task at W-NUT 2021 on both intrinsic and extrinsic evaluations.
Assessment of vulnerability to waterlogging in subway stations using integrated EWM-TOPSIS
Authors: Xiang He-Ting , Lyu Hai-Min 
Published: November 2023

AbstractWaterlogging in subway stations has a devastating impact on normal operation of important urban facilities and can cause harm to passengers and property. It is difficult to assess the vulnerability of metro stations to waterlogging because many complex factors are involved. This study proposes a hybrid model to assess the vulnerability of subway stations to waterlogging by integrating the entropy weight method (EWM) with a technique for order preference based on similarity to the ideal solution (TOPSIS) (the EWM-TOPSIS method). The model is based on analysis of factors influencing the vulnerability of subway stations to waterlogging. The proposed method was applied to a field case (Jinshahu station in Hangzhou, found to be vulnerable to waterlogging at level IV). The results from EWM-TOPSIS, EWM, and TOPSIS were compared. The results using the EWM-TOPSIS method were more accurate and reliable than those using EWM and TOPSIS. However, the reliability of EWM-TOPSIS was determined based on historical data, which cannot capture rapidly changing factors. Based on the assessment results, recommendations were made to promote the overall health and development of urban areas to satisfy the United Nations Sustainable Development Goal 11 (SDG11).
Preoperative tamsulosin effect on postoperative urinary retention following spinal surgery: A randomized controlled trial
Authors: Haddadi Kaveh , Ahmadi Mohammad , Kerigh Behzad Feizzadeh , Moosazadeh Mahmood , Godazandeh Farnaz , Shafizad Misagh , Kargar-Soleimanabad Saeed , Gharanjik Basir , Ehteshami Saeed 
Published: November 2023

Abstract

Background
Current study aims to investigate pre-surgical medical intervention on the reduction of POUR incidence in patients undergoing spine surgery.

Method
The study was a single center double-blind randomized placebo clinical trial. Participants were individuals over 18 years old who underwent spinal surgery at the Educational and Therapeutic Hospital between 2020 and 2023. Inclusion criteria included the ability to provide informed consent and follow the study schedule, while exclusion criteria included certain medical conditions, current medication use, and inability to take oral medication after surgery.

Results
The study enrolled 100 patients. There was no significant difference in age or gender distribution between the tamsulosin and placebo groups, but the tamsulosin group had a lower prevalence of diabetes. The duration of surgery was shorter in the tamsulosin group, and there was no significant difference in the surgical site. The tamsulosin group had significantly less post-void residual volume on the eighth day of the study, but there were no significant differences in urine output volume during surgery or residual urine volume before or after surgery.

Conclusion
Tamsulosin may be effective in preventing postoperative urinary retention (POUR), but its effectiveness in treating established POUR is uncertain. The Tamsulosin group had significantly lower post-void residual volume after spine surgery. Considering the low risk of adverse effects, Tamsulosin could be considered for high-risk patients. However, patients should be aware of potential risks and seek medical attention if they experience adverse effects. Further research is needed to determine the best dosage and duration of treatment.

Highlights
Constructing Birkhoff sections for pseudo-Anosov flows with controlled complexity
Authors: TSANG CHI CHEUK 
Published: November 2023

AbstractWe introduce a new method of constructing Birkhoff sections for pseudo-Anosov flows, which uses the connection between pseudo-Anosov flows and veering triangulations. This method allows for explicit constructions, as well as control over the Birkhoff section in terms of its Euler characteristic and the complexity of the boundary orbits. In particular, we show that any transitive pseudo-Anosov flow has a Birkhoff section with two boundary components.