bluuebunny/crossref_metadata_2025_split huggingface dataset:
A case of non-ampullary duodenal adenosquamous carcinoma with successful emergency pancreaticoduodenectomy for gastrointestinal hemorrhage
Authors: Miyama Arimasa , Chikaishi Yuko , Kobayashi Daigo , Matsuo Kazuhiro , Ochi Takayuki , Nakamura Kenichi , Endo Tomoyoshi , Kikuchi Kenji , Katsuno Hidetoshi , Nishijima Aki , Morise Zenichi 
Published: September 2023

Abstract
Background
Although most duodenal carcinomas are pathological adenocarcinomas, a small number of cases have been reported of adenosquamous carcinoma, characterized by variable combinations of two malignant components: adenocarcinoma and squamous cell carcinoma. However, owing to the small number of cases of non-ampullary duodenal adenosquamous carcinoma, there have been no reported cases of emergency pancreaticoduodenectomy for gastrointestinal hemorrhage due to non-ampullary duodenal adenosquamous carcinoma.

Case presentation
A 66-year-old Japanese male presented to the referring hospital with a chief complaint of abdominal pain, diarrhea, and dark urine that had persisted for 1 month. The patient was referred to our hospital because of liver dysfunction on a blood examination. Laboratory results of the blood on the day of admission showed that total and direct bilirubin levels (12.0 mg/dl and 9.6 mg/dl) were markedly increased. An endoscopic retrograde biliary drainage tube was inserted for the treatment of obstructive jaundice, and imaging studies were continuously performed. Contrast-enhanced computed tomography and endoscopy revealed an ill-defined lesion involving the second portion of the duodenum, predominantly along the medial wall, and measuring 60 mm in diameter. No metastases were observed by positron emission tomography. Pancreaticoduodenectomy was planned based on the pathological findings of poorly differentiated adenocarcinoma. However, 2 days before the scheduled surgery, the patient experienced hemorrhagic shock with melena. Owing to poor hemostasis after endoscopic treatment and poor control of hemodynamic circulation despite blood transfusion, radiological embolization and hemostasis were attempted but were incomplete. An emergency pancreaticoduodenectomy was performed after embolizing the route from the gastroduodenal artery and pseudoaneurysm area to reduce bleeding. The operation was completed using an anterior approach without Kocherization or tunneling due to the huge tumor. The operation time was 4 h and 32 min, and blood loss was 595 mL The pathological diagnosis was adenosquamous carcinoma. The postoperative course was uneventful with 17 day hospital stay and the patient is currently well, with no signs of recurrence 9 months after surgery.

Conclusions
This report presents an extremely rare case of successful emergency pancreaticoduodenectomy for gastrointestinal hemorrhage caused by non-ampullary duodenal adenosquamous carcinoma.
Validity and reliability of the transculturally adapted Spanish version of the Implementation Leadership Scale (ILS)
Authors: Llarena Marta , Rogers Heather Lynn , Macia Patricia , Pablo Susana , Gonzalez- Saenz de Tejada Marta , Montejo Marta , Paniagua Natalia , Benito Javier , Rueda Mikel , Santos Borja , Grandes Gonzalo , Sanchez Alvaro 
Published: September 2023

Abstract
Background
There is a need for pragmatic and reliable measures of sound factors that affect evidence-based practice (EBP) adoption and implementation in different languages and cultural environments. The Implementation Leadership Scale (ILS) is a brief and efficient measurement tool of strategic leadership for EBP implementation. The objective of this study was to assess the psychometric properties of the Spanish version of the ILS.

Methods
The process of translation of the original ILS into Spanish consisted of forward translation, panel meeting, and back-translation. Scale face and content validity compared to that of the original version were assessed and ensured before agreement on the final version. Psychometric properties were examined in 144 healthcare professionals (family physicians, pediatricians, practice and pediatric nurses) involved in implementation or improvement research projects. ILS factor structure was tested by confirmatory factor analysis (CFA). Reliability was assessed by internal consistency analysis. The Pearson correlation between the ILS and the Organizational Support dimension of the Organizational Readiness for Knowledge Translation (OR4KT) questionnaire in the subsample of pediatricians and pediatric nurses (n = 52) was estimated for convergent validity analysis.

Results
The CFA results indicated that the original four theorized first-order factors with a second-order Implementation Leadership factor fit the data well (χ2 = 107.70; df = 45; p < 0.001). All standardized first- and second-order factor loadings were statistically significant. Fit indexes showed acceptable figures (GFI = 0.90; CFI = 0.97; RMSEA = 0.10; SRMR = 0.053). Cronbach’s alpha coefficient for the four dimensions of ILS ranged from 0.90 to 0.97, while the reliability estimated for the total scale was 0.95. Results of convergent validity revealed high correlation (r = 0.56) between the ILS and the OR4KT’s Organizational Support dimension.

Conclusion
The CFA results demonstrated that the tested first- and second-order factor structure of the 12-item Spanish version of the ILS is consistent with the factor structure of the original tool. The availability of the ILS will allow Spanish-speaking researchers to assess and advance understanding of the implementation leadership construct as a predictor of organizational implementation context.
Four very basic ways to think about policy in implementation science
Authors: Purtle Jonathan , Moucheraud Corrina , Yang Lawrence H. , Shelley Donna 
Published: September 2023

AbstractBackgroundPolicy is receiving increasing attention in the field of implementation science. However, there remains a lack of clear, concise guidance about how policy can be conceptualized in implementation science research. Building on Curran’s article “Implementation science made too simple”—which defines “the thing” as the intervention, practice, or innovation in need of implementation support—we offer a typology of four very basic ways to conceptualize policy in implementation science research. We provide examples of studies that have conceptualized policy in these different ways and connect aspects of the typology to established frameworks in the field. The typology simplifies and refines related typologies in the field.Four very basic ways to think about policy in implementation science research.1) Policy as something to adopt: an evidence-supported policy proposal is conceptualized as “the thing” and the goal of research is to understand how policymaking processes can be modified to increase adoption, and thus reach, of the evidence-supported policy. Policy-focused dissemination research is well-suited to achieve this goal.2) Policy as something to implement: a policy, evidence-supported or not, is conceptualized as “the thing” and the goal of research is to generate knowledge about how policy rollout (or policy de-implementation) can be optimized to maximize benefits for population health and health equity. Policy-focused implementation research is well-suited to achieve this goal.3) Policy as context to understand: an evidence-supported intervention is “the thing” and policies are conceptualized as a fixed determinant of implementation outcomes. The goal of research is to understand the mechanisms through which policies affect implementation of the evidence-supported intervention.4) Policy as strategy to use: an evidence-supported intervention is “the thing” and policy is conceptualized as a strategy to affect implementation outcomes. The goal of research is to understand, and ideally test, how policy strategies affect implementation outcomes related to the evidence-supported intervention.ConclusionPolicy can be conceptualized in multiple, non-mutually exclusive ways in implementation science. Clear conceptualizations of these distinctions are important to advancing the field of policy-focused implementation science and promoting the integration of policy into the field more broadly.
State of climate smart agriculture (CSA) practices in the North Central and Northwest zones Nigeria
Authors: Gabriel Isaiah , Olajuwon Frank , Klauser Dominik , Michael Blessing , Renn Mara 
Published: September 2023

AbstractAgriculture is exposed to climate change. This is particularly the case for developing countries like Nigeria, which suffer from persistent food insecurity today while also facing substantial population growth and a high exposure to the adverse consequences of global warming. Climate-smart agriculture (CSA) practices seek to mitigate agriculture’s contribution to climate change while building resilience and adaptation to the impacts of climate change and increasing the production of food crops. CSA is an approach to identify production systems that can best respond to the impacts of climate change and to adjust these systems to suit local conditions. In this study, we use descriptive statistics to characterize socio-economic characteristics of smallholder farmers in four states in Nigeria and identify the major needs, practices and constrains to CSA. Our results reveal that the mean farmer is an adult (40 years) male that has 10 members in their household and 12 years of farming experience, cultivating an area of 3 ha. The majority (87.2%) of farmers has adopted at least one climate resilient trait in crops. Farmers greatest needs on climate smart adaptation, mitigation and profitability were solutions to reduce in-season crop loss (56%), increase water use efficiency (42%) and increase productivity (54%), respectively. Our study intends to provide to a better understanding of the needs and motivations of local farming communities and a better understanding of their motivation to engage in CSA to develop and deploy more tailored initiatives for improving the resilience and productivity of smallholder farming systems.
Predict the compressive strength of ultra high-performance concrete by a hybrid method of machine learning
Authors: Gong Nana , Zhang Naimin 
Published: September 2023

AbstractUltra-high performance concrete (UHPC) benefits the construction industry due to its improved flexibility, high workability, durability, and performance compared to normal concrete. Some investigators have conducted observed papers on the UHPC’s mechanical properties for establishing a reliable analytical approach for calculating the compressive strength, tensile strength, slump, etc. However, most of these studies were performed with limited samples because of the UHPC’s high cost. This study aims to predict the compressive strength (CS) of UHPC through hybrid machine-learning approaches. The model is included Adaptive-Network Fuzzy Inference System (ANFIS). Moreover, three meta-heuristic algorithms were employed to improve the developed model's accuracy, including the Generalized Normal Distribution Optimization, the COOT optimization algorithm, and the Honey Badger Algorithm. Several metrics were used to compare and assess the performance of the hybrid models in the framework of ANGN, ANCO, and ANHB. A comparison of the predicted and measured results generally shows that the proposed developed models can reasonably estimate the mechanical properties of UHPC. The results indicated that the ANHB model could estimate the CS of UHPC with the most suitable accuracy.
Using Martial Arts Training as Exercise Therapy Can Benefit All Ages
Authors: Sun Yao , Tabeshian Roza , Mustafa Hajer , Zehr E. Paul 
Published: September 2023

Abstract
Martial arts training focus on whole-body movement patterning, philosophy, interpersonal interactions, and functional self-defense. Such training has positive impacts on physical, psychological, and cognitive well-being in older adults and children with and without clinical conditions. We hypothesize that martial arts training can be delivered as a form of exercise therapy for people at all ages to enhance overall health.
Hybrid recommender system model for digital library from multiple online publishers
Authors: Jomsri Pijitra , Prangchumpol Dulyawit , Poonsilp Kittiya , Panityakul Thammarat 
Published: September 2023

Background: The demand for online education promotion platforms has increased. In addition, the digital library system is one of the many systems that support teaching and learning. However, most digital library systems store books in the form of libraries that were developed or purchased exclusively by the library, without connecting data with different agencies in the same system. Methods: A hybrid recommender system model for digital libraries, developed from multiple online publishers, has created a prototype digital library system that connects various important knowledge sources from multiple digital libraries and online publishers to create an index and recommend e-books. The developed system utilizes an API-based linking process to connect various important sources of knowledge from multiple data sources such as e-books on education from educational institutions, e-books from government agencies, and e-books from religious organizations are stored separately. Then, a hybrid recommender system suitable for users was developed using Collaborative Filtering (CF) model together with Content-Based Filtering. This research purposed the hybrid recommender system model, which took into account the factors of book category, reading habits of users, and sources of information. The evaluation of the experiments involved soliciting feedback from system users and comparing the results with conventional recommendation methods. Results: A comparison of NDCG scores was conducted for Hybrid Score 50:50, Hybrid Score 20:80, Hybrid Score 80:20, CF-score and CB-score. The experimental result was found that the Hybrid Score 80:20 method had the highest average NDCG score. Conclusions: Using a hybrid recommender system model that combines 80% Collaborative Filtering and 20% Content-Based Filtering can improve the recommender method, leading to better referral efficiency and greater overall efficiency compared to traditional approaches.
A Community-based cross-sectional study for assessment of the e-waste disposal practices amongst people living in Wardha district, India
Authors: Hasan Fatima , Ingole Abhishek 
Published: September 2023

Introduction: The disposal of e-waste, often known as waste from obsolete electrical and electronic equipment, is a serious issue that receives little attention. Electronic products are becoming more and more affordable, allowing consumers to use and discard them as they see fit. This has an immediate and long-term impact on our health and our environment. Bulks of e-waste are typically recycled in the informal sector (which are often unregulated), placing the recyclers—often women and children—at risk for dangerous exposure. The study’s objectives are to document the extent of knowledge consumers have related to their e-waste disposal; assessing their awareness and general practices associated with e-waste management. Methods: The study will focus on young adults who are electronics buyers aged 18 years old or above and electronic shopkeepers. To evaluate and obtain insight into their e-waste disposal processes, a pre-tested questionnaire will be used. Study implications: The goal of the study is to address any knowledge gaps regarding how important it is for people to recycle or correctly dispose their-waste. It is unhealthy, and the consequences will have a downward impact on both our health and our surroundings in a significant way.
Enhancing Branch-and-Bound for Multiobjective 0-1 Programming
Authors: Forget Nicolas , Parragh Sophie N. 
Published: September 2023

In the biobjective branch-and-bound literature, a key ingredient is objective branching, that is, to create smaller and disjoint subproblems in the objective space, obtained from the partial dominance of the lower bound set by the upper bound set. When considering three or more objective functions, however, applying objective branching becomes more complex, and its benefit has so far been unclear. In this paper, we investigate several ingredients that allow us to better exploit objective branching in a multiobjective setting. We extend the idea of probing to multiple objectives for the 0-1 case, enhance it in several ways, and show that, when coupled with objective branching, it results in significant speedups in terms of CPU times. We also show how to adapt it to the general integer case. Furthermore, we investigate cut generation based on the objective branching constraints. Besides, we generalize the best bound idea for node selection to multiple objectives, and we show that the proposed rules outperform, in the multiobjective literature, the commonly employed depth-first and breadth-first strategies. We also analyze problem-specific branching rules. We test the proposed ideas on available benchmark instances for three problem classes with three and four objectives, namely, the capacitated facility location problem, the uncapacitated facility location problem, and the knapsack problem. Our enhanced multiobjective branch-and-bound algorithm outperforms the best existing branch-and-bound–based approach and is the first to obtain competitive and even slightly better results than a state-of-the-art objective space search method on a subset of the problem classes. History: Accepted by Andrea Lodi, Area Editor for Design & Analysis of Algorithms – Discrete. Funding: This work was supported in whole, or in part, by the Austrian Science Fund [Grant P 31366]. Supplemental Material: The online supplement is available at https://doi.org/10.1287/ijoc.2022.0299 .
A Longitudinal Examination of the Relationship Between National-Level Per Capita Advertising Expenditure and National-Level Life Satisfaction Across 76 Countries
Authors: Wiles Michael A. , Janani Saeed , Fotheringham Darima , Miller Chadwick J. 
Published: September 2023

Advertising theory offers competing perspectives on how advertising might affect life satisfaction. For instance, advertising may have some negative effects by increasing materialism, or it may have some positive effects by reducing marketplace uncertainty. Yet research investigating these connections remains limited. We compile a data set of per capita advertising expenditure to investigate advertising’s relationship with life satisfaction within 76 countries from 2006 to 2019. We deal with several sources of endogeneity and account for other determinants of life satisfaction (e.g., gross domestic product (GDP) per capita, social support) in our analysis. Results from a within-country fixed-effect model indicate that per capita advertising expenditure is positively related to national average life satisfaction. Moderation analyses of this aggregate secondary data and two individual-level experiments provide mechanistic evidence that this occurs because of advertising’s ability to reduce marketplace uncertainty. However, supplemental analyses and an additional experiment indicate that this positive relationship is attenuated through a materialism pathway in certain situations (e.g., related to cultural, income, and subjective inequality factors) and can become negative. As such, we provide the first nuanced and multifaceted view of advertising’s complex relationship with life satisfaction in the marketing literature. History: Puneet Manchanda served as the senior editor for this article. Supplemental Material: The e-companion and data are available at https://doi.org/10.1287/mksc.2021.0136 .
The Effects of Online Social Identity Signals on Retailer Demand
Authors: Babar Yash , Mahdavi Adeli Ali , Burtch Gordon 
Published: September 2023

Recent shifts in societal discourse have led digital platforms to support equity, inclusivity, and diversity by introducing identity-signaling features, for example, indicators of owner race or gender. In this work, we explore whether, when, and how using those features may impact retailer demand. We tackle this question via a multimethod study. We begin by conducting a controlled experiment on Prolific.co , presenting subjects with actual Google Places business profiles for a set of Black-owned restaurants in Chicago. We randomly vary the presence of Black- and women-owned labels in these profiles and assess subjects’ expectations of popularity and quality along various restaurant dimensions. Our results demonstrate that the Black-owned label, in particular, drives significant increases in all outcomes with the effects arising primarily from Black and democratically liberal subjects. Next, we conduct an archival analysis of the effect label adoption has on the physical foot traffic that retailers receive based on SafeGraph’s mobile patterns database. Our difference-in-differences estimations yield consistent results; we find evidence of a positive average effect on foot traffic volumes. Further, we show that a rise in visitors from liberal-leaning geographies drives these effects. We discuss implications for digital platform operators and retailers. This paper was accepted by Duncan Simester, marketing. Supplemental Material: The online appendix and data are available at https://doi.org/10.1287/mnsc.2023.01168 .
Magnitude of neonatal meningitis and associated factors among newborns with neonatal sepsis admitted to the University of Gondar Comprehensive Specialized Hospital, North Gondar, Ethiopia
Authors: Wondimu Mulugeta Nigusu , Toni Alemayehu Teklu , Zamanuel Teshome Geletaw 
Published: September 2023

Background
Neonatal meningitis continues to be a devastating infection with high mortality and morbidity worldwide. The prevalence of neonatal meningitis varies across countries. However, there is a paucity of studies on neonatal meningitis in most low-resource settings. Therefore, this study aimed to determine the magnitude, clinical presentations, and associated risk factors of meningitis among newborns with neonatal sepsis.

Method
An institution-based, cross-sectional study was conducted among newborns with neonatal sepsis from May 1, 2021, to Oct 30, 2021. Neonates with neonatal sepsis admitted to the University of Gondar Comprehensive Specialized Hospital (UOGCSH) during the study period were included in the study. Single population proportion formula was used to calculate the sample size and a systematic random sampling technique was used to select the study participants. Two trained pediatric residents collected the data by using a pretested, structured questionnaire. The data was entered into Epi-info version 7.0 and exported to SPSS version 24.0 for analysis. Binary logistic regression was used to identify the associated factors. P-value<0.05 was considered statistically significant.

Result
A total of 171 participants were enrolled in this study. The mean postnatal age was 10.74±8.0 days. The male to female ratio was l.3:1. The prevalence of neonatal meningitis among suspected sepsis was 19.3%; 95% CI [13.5%-25.1%]. The prevalence of meningitis was 22.8% in Early-Onset Neonatal Sepsis and 16.8% in Late-onset Neonatal Sepsis. Neurologic symptoms (seizure & altered mentation) were seen in 25% of the patients with meningitis. Two risk factors, Prolonged labor (adjusted odds ratio [AOR]: 4.98; 95% CI: 1.99–12.48) and Prolonged Rupture of Membrane (AOR: 5:38; 95% CI: 1.92–14.42) were significantly associated with neonatal meningitis.

Conclusion
The prevalence of neonatal meningitis was higher in early-onset neonatal sepsis than in late-onset neonatal sepsis. Obstetric factors were associated with neonatal meningitis. We recommend that routine CSF analysis should be practiced in all neonates with neonatal sepsis regardless of their postnatal age and clinical features. Early detection and treatment of obstetric factors may have the potential to reduce neonatal meningitis.