bluuebunny/crossref_metadata_2025_split huggingface dataset:
The safety and efficacy of gabapentinoids in the management of neuropathic pain: a systematic review with meta-analysis of randomised controlled trials
Authors: Meaadi Jawza , Obara Ilona , Eldabe Sam , Nazar Hamde 
Published: February 2023

Abstract
Background
There are increasing concerns regarding the abusive potential of gabapentinoids putting at risk patients with neuropathic pain requiring long-term pain management. The evidence to support this is rather inconcusive.

Aim
This systematic review aimed to evaluate the safety and efficacy of gabapentinoids in the management of neuropathic pain with a focus on randomised controlled trials (RCTs) and categorising the side effects according to the body systems they were affecting.

Method
Searches were conducted in MEDLINE (PubMed), EMBASE, Web of Science, PsycoINFO, and CINAHL (EBSCO), and included RCTs to identify and critically appraise studies investigating safety and therapeutic effects of gabapentionoids in adults with neuropathic pain. Data extraction was conducted using an established Cochrane form and the risk-of-bias tool was used in the assessment of quality.

Results
50 studies (12,398 participants) were included. The majority of adverse events pertained to the nervous system (7 effects) or psychiatric (3 effects) disorders. There were more adverse effects reported with pregabalin (36 effects) than with gabapentin (22 effects). Six pregabalin studies reported euphoria as a side effect, while no studies reported euphoria with gabapentin. This was the only side effect that may correlate with addictive potential. Gabapentioids were reported to significantly reduce pain compared to placebo.

Conclusion
Despite RCTs documenting the adverse events of gabapentionoids on the nervous system, there was no evidence of gabapentinoid use leading to addiction, suggesting an urgent need to design studies investigating their abusive potential.
LAI estimation through remotely sensed NDVI following hail defoliation in maize (Zea mays L.) using Sentinel-2 and UAV imagery
Authors: Furlanetto Jacopo , Dal Ferro Nicola , Longo Matteo , Sartori Luigi , Polese Riccardo , Caceffo Daniele , Nicoli Lorenzo , Morari Francesco 
Published: February 2023

AbstractExtreme events such as hailstorms are a cause for concern in agriculture, leading to both economic and food supply losses. Traditional damage estimation techniques have recently been called into question since damages have rarely been quantified at the large-field scale. Damage-estimation methods used by field inspectors are complex and sometimes subjective and hardly account for damage spatial variability. In this work, a normalized difference vegetation index (NDVI)-based parametric method was applied using both unmanned aerial vehicles (UAV) and Sentinel-2 sensors to estimate the leaf area index (LAI) of maize (Zea mays L.) resulting from simulated hail damage. These methods were then compared to the LAI values generated from the Sentinel-2 Biophysical Processor. A two-year experiment (2020–2021) was conducted during the maize cropping season, with hail events simulated during a range of maize developmental stages (the 8th-leaf, flowering, milky and dough stages) using a 0–40% defoliation gradient of damage intensities performed with the aid of specifically designed prototype machines. The results showed that both sensors were able to accurately estimate LAI in a nonstandard damaged canopy while requiring only the calibration of the extinction coefficient $$k(\vartheta )$$

k
(
ϑ
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in the case of parametric estimations. In this case, the calibration was performed using 2020 data, providing $$k(\vartheta )$$

k
(
ϑ
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values of 0.59 for Sentinel-2 and 0.37 for the UAV sensor. The validation was performed on 2021 data, and showed that the UAV sensor had the best accuracy (R2 of 0.86, root-mean-square error (RMSE) of 0.71). The $$k(\vartheta )$$

k
(
ϑ
)

value proved to be sensor-specific, accounting for the NDVI retrieval differences likely caused by the different spatial operational scales of the two sensors. NDVI proved effective in parametrically estimating maize LAI under damaged canopy conditions at different defoliation degrees. The parametric method matched the Sentinel-2 biophysical process-generated LAI well, leading to less underestimations and more accurate LAI retrieval.
Research and knowledge transfer performance in Colombian universities
Authors: Barra Cristian , Castro-Peña Mónica Y. , Coello Jesús Gabalán 
Published: February 2023

AbstractThis study analyzes the performance of Colombian universities in their research and knowledge transfer (KT) objectives in the period 2016–2018. The methodology was based on Data Envelopment Analysis models with Variable Return Scale and a Malmquist Productivity Index (MPI) using different combinations of variables, considering the sensitivity of performance according to the type of variables used for its measurement. The results allowed us to identify significant gaps in research output among the studied universities. Publications and patents are the main variables that influence these differences in university performance and impact their scores. On the other hand, the MPI analysis made it possible to identify that most of the universities with the most significant improvements in the analyzed period correspond to private universities, and it was possible to recognize the importance of institutional efforts and strategies as an explanatory factor for progress in the performance of universities in the studied objectives. The results obtained formed the starting point for the discussion about the implications of some incentive policies at the national and institutional level for academic production. We also refer to the KT opportunities for Colombian universities and the measures required to promote their development.
How does government-backed finance affect SMEs’ crisis predictors?
Authors: Gai Lorenzo , Arcuri Maria Cristina , Ielasi Federica 
Published: February 2023

Abstract
This paper estimates the impact of public guarantees on crisis predictive indicators among small and mid-size enterprises (SMEs). We use a confidential database provided by the Italian Ministry of Economic Development on the universe of guarantees granted by the Central Guarantee Fund. We apply difference-in-difference regressions and propensity-score matching estimators to a sample of approximately 40,000 SMEs over the 2010–2018 period. We find that obtaining a public guarantee improves profitability both in the short- and medium-term. On the other hand, SMEs’ financial health worsens in the short run, but financial burdens are alleviated 2 years after the issuance of a guarantee. The economic and financial effects of government-backed loans are amplified for micro-sized firms, companies operating in the service sector and direct guarantees. Our results can thus support public authorities in designing credit guarantee schemes capable of preventing SMEs’ zombification and protecting them from the risk of debt overhang.
Design, synthesis, and in silico-in vitro antimalarial evaluation of 1,2,3-triazole-linked dihydropyrimidinone quinoline hybrids
Authors: Adigun Rasheed A. , Malan Frederick P. , Balogun Mohammed O. , October Natasha 
Published: February 2023

AbstractIn response to the malaria parasite’s resistance towards quinoline-based antimalarial drugs, we have employed quinoline-containing compounds in combination with dihydropyrimidinone (DHPM) analogues as resistance reversal agents (RAs) and investigated their antimalarial activities based on DHPM’s resistance reversal abilities. The present study employed click chemistry to link DHPM and quinoline compounds which offered several synthetic advantages over the previously used amide coupling for the same hybrids. Among the synthesised compounds, 4 hybrids with the 7-chloroquinoline moiety showed antimalarial activity below 1 µM while compounds with the mefloquine moiety showed lower antimalarial activity than chloroquine (CQ) and the 7-chloroquinoline hybrids. Among the tested hybrids for the IC50 determination, four compounds displayed good antimalarial activity with increased sensitivity against the CQ-resistant K1 strain between 421 and 567 nM and showed higher activity between 138 and 245 nM against the NF54 CQ-sensitive strain, while three compounds have IC50 values greater than 5 µM. Additionally, in silico molecular docking and molecular dynamics studies were conducted to investigate the binding affinities of all the synthesised compounds as glutathione reductase protein competitive inhibitors. Further optimisation of the compound with the highest binding affinity generated 16 compounds with higher binding affinities than the flavine adenine dinucleotide (FAD) cofactor.
Safety, Perceptions of Good Treatment and Subjective Well-Being in 10- and 12-year-old Children in Three Countries
Authors: González-Carrasco Mònica , Bedin Lívia , Casas Ferran , Alfaro Jaime , Sarriera Jorge Castellá 
Published: February 2023

Abstract

Satisfaction with safety and satisfaction with how adults listen to children and how they take what they say into account are the most important satisfaction domains that contribute to children’s subjective well-being (SWB). However, there is still more to know about what contributes to both domains. Little is understood about their mediating effects on the safety perceptions of being cared for and supported in terms of children’s SWB. Age and country are also relevant variables in this equation that suffers from a lack of information. Therefore, this article attempts to shed light on these questions by using the third wave of the Children’s Worlds data set that covers Spain, Brazil, and Chile and focuses on the 10- and 12-year-old age group. Results show that perceived contexts (home, school, and neighborhood) in each country are very important for assessing satisfaction with personal safety, while having parents who listen and take children’s opinions into account is very important for SWB in all contexts. The importance of the effects of feeling safe on SWB increases from late childhood to early adolescence, with its indirect effects being much more important than direct effects. Most children do not perceive to be listened to by teachers or do not perceive that what they say is taken into account by their teachers, which does not turn out to be very relevant for SWB in any of the three countries. Despite existing relationships between all of the variables analyzed, there are differences depending on the country and age group, with a common relationship observed between some of them.
Benefits and Limitations of the Use of Pb, Sn and Bi Alloying Elements in Hot Dip Galvanizing Bath: A Review
Authors: Henryk Kania , Mariola Saternus 
Published: February 2023

AbstractToday, lead, bismuth and tin constitute the main group of alloying elements for zinc baths used for hot dip galvanizing. These metals improve the fluidity of liquid zinc, which positively affects the consumption of zinc and improves the appearance of the coating. However, their presence in the bath, despite their beneficial effects, is controversial due to the increased risk of liquid metal-assisted cracking (LMAC). Recent studies also indicate that these additives may contribute to lowering the corrosion resistance of coatings. The article analyzes the existing knowledge on the addition of lead, tin and bismuth to the bath and presents the benefits and limitations of using them as an alloying additive to the hot dip galvanizing bath.
Usefulness of Ultrasound in Assessing the Impact of Bariatric Surgery on Body Composition: a Pilot Study
Authors: Simó-Servat A. , Ibarra M. , Libran M. , Quirós C. , Puértolas N. , Alonso N. , Perea V. , Simó R. , Barahona MJ. 
Published: February 2023

Abstract

Background
Bariatric surgery (BS) has a significant impact on body composition. The purpose of the study is to evaluate the usefulness of musculoskeletal ultrasound (MUS) to bioelectrical impedance (BIA) in the follow-up of patients undergoing BS in terms of body composition and quality of life (QoL).

Methods
This is a prospective pilot study including 32 subjects (75% female, mean age: 49.15 ± 1.9 years) who underwent BS. Fat mass (FM), lean mass (LM), and skeletal muscle index (SMI) were calculated by BIA. MUS measured subcutaneous fat (SF) and thigh muscle thickness (TMT) of the quadriceps. QoL was assessed by the Moorehead-Ardelt questionnaire. All these measurements were performed 1 month prior to BS and at 12-month follow-up.

Results
The mean BMI decreased by 6.63 ± 1.25 kg/m2 (p=0.001). We observed significant reductions in FM (p=0.001) and SF (p=0.007) and in LM (p=0.001) but not in SMI and TMT. We found a correlation between the FM and SF (pre-surgical, r=0.42, p=0.01; post-surgical, r=0.52, p=0.003) and between SMI and TMT (pre-surgical, r=0.35, p=0.04; post-surgical, r=0.38, p=0.03). QoL test showed significant improvement (p=0.001). In addition, a correlation between the QoL questionnaire and TMT post-surgery (r=0.91, p=0.019) was observed. However, we did not find any statistically significant correlation between QoL assessment and SMI or LM.

Conclusions
Our results suggest that MUS can be complementary to BIA for the evaluation and the follow-up of body composition after BS. TMT of quadriceps can provide relevant information about regional sarcopenia and has a significant correlation with QoL.

Graphical Abstract
Establishing a Care Continuum for Cardiometabolic Conditions for Patients with Serious Mental Illness
Authors: Murphy Karly A. , Daumit Gail L. 
Published: February 2023

Abstract
Purpose of Review
Addressing cardiometabolic risk factors in persons with serious mental illness requires early screening and proactive medical management in both medical and mental health settings.

Recent Findings
Cardiovascular disease remains the leading cause of death for persons with serious mental illness (SMI), such as schizophrenia or bipolar disorder, much of which is driven by a high prevalence of metabolic syndrome, diabetes, and tobacco use. We summarize barriers and recent approaches to screening and treatment for metabolic cardiovascular risk factors within physical health and specialty mental health settings.

Summary
Incorporating system-based and provider-level support within physical health and psychiatric clinical settings should contribute to improvement for screening, diagnosis, and treatment for cardiometabolic conditions for patients with SMI. Targeted education for clinicians and leveraging multi-disciplinary teams are important first steps to recognize and treat populations with SMI at risk of CVD.
Attitudes toward sexual behaviors: relationship with gender and sexual orientation
Authors: Blanc Andrea 
Published: February 2023

AbstractMost studies that have compared sexual attitudes between men and women have focused on heterosexual individuals or have not controlled for sexual orientation. In addition, many have used measures of general sexual attitudes, which have more difficulty in predicting sexual behaviors and sexual health than measures of attitudes toward specific sexual behaviors. Therefore, the present study aimed to analyze whether gender and sexual orientation are related to attitudes toward specific sexual behaviors in Spain. The study sample consisted of 1725 participants (55.8% women) aged between 18 and 35 years and of different sexual orientations. All participants completed an instrument to measure attitudes toward specific contextualized sexual behaviors. After controlling for age and current relationship status, the results reveal that while women have more positive attitudes toward solitary sexual behaviors and erotic material than men, men have more positive attitudes toward unconventional and online sexual behaviors than women. Bisexual people have more positive attitudes toward frequent dyadic sexual behaviors with casual partners than homosexual people. Finally, bisexual and homosexual people have more positive attitudes towards solitary sexual behaviors and erotic material, unconventional sexual behaviors, and online sexual behaviors than heterosexuals. It is concluded that gender and sexual orientation are related to attitudes toward different types of sexual behaviors.
Differential evolution-based transfer rough clustering algorithm
Authors: Zhao Feng , Wang Chaofei , Liu Hanqiang 
Published: February 2023

AbstractDue to well processing the uncertainty in data, rough clustering methods have been successfully applied in many fields. However, when the capacity of the available data is limited or the data are disturbed by noise, the rough clustering algorithms always cannot effectively explore the structure of the data. Furthermore, rough clustering algorithms are usually sensitive to the initialized cluster centers and easy to fall into local optimum. To resolve the problems mentioned above, a novel differential evolution-based transfer rough clustering (DE-TRC) algorithm is proposed in this paper. First, transfer learning mechanism is introduced into rough clustering and a transfer rough clustering framework is designed, which utilizes the knowledge from the related domain to assist the clustering task. Then, the objective function of the transfer rough clustering algorithm is optimized by using the differential evolution algorithm to enhance the robustness of the algorithm. It can overcome the sensitivity to initialized cluster centers and meanwhile achieve the global optimal clustering. The proposed algorithm is validated on different synthetic and real-world datasets. Experimental results demonstrate the effectiveness of the proposed algorithm in comparison with both traditional rough clustering algorithms and other state-of-the-art clustering algorithms.
SimGRL: a simple self-supervised graph representation learning framework via triplets
Authors: Huang Da , Lei Fangyuan , Zeng Xi 
Published: February 2023

AbstractRecently, graph contrastive learning (GCL) has achieved remarkable performance in graph representation learning. However, existing GCL methods usually follow a dual-channel encoder network (i.e., Siamese networks), which adds to the complexity of the network architecture. Additionally, these methods overly depend on varied data augmentation techniques, corrupting graph information. Furthermore, they are heavily reliant on large quantities of negative nodes for each object node, which requires tremendous memory costs. To address these issues, we propose a novel and simple graph representation learning framework, named SimGRL. Firstly, our proposed network architecture only contains one encoder based on a graph neural network instead of a dual-channel encoder, which simplifies the network architecture. Then we introduce a distributor to generate triplets to obtain the contrastive views between nodes and their neighbors, avoiding the need for data augmentations. Finally, we design a triplet loss based on adjacency information in graphs that utilizes only one negative node for each object node, reducing memory overhead significantly. Extensive experiments demonstrate that SimGRL achieves competitive performance on node classification and graph classification tasks, especially in terms of running time and memory overhead.
Wellbeing Learnings from Pandemic Pedagogies in Aotearoa New Zealand
Authors: Ritchie Jenny 
Published: February 2023

AbstractThis paper discusses data from a survey of New Zealand teachers conducted in 2020 during the first months of the COVID-19 pandemic. It considers this data in the light of a series of contexts: Te Tiriti o Waitangi; social inequalities particularly in relation to the impacts of colonisation and neoliberal social and economic policies on Māori; the New Zealand government’s commitment to wellbeing; Te Ara Waiora, a Māori model of wellbeing utilised by the New Zealand Treasury; and the status of the teaching profession in Aotearoa New Zealand. Using data from the teachers’ responses to the survey, it outlines ways in which wellbeing was prioritised by teachers during these early months of the pandemic, when teachers were suddenly required to pivot to online teaching. It argues that the wellbeing values as espoused in te ao Māori, a Māori worldview, and those articulated by teachers provide inspiration for a pathway beyond the privations of the pandemic.
Kann es eine neue Geistesgeschichte geben?
Authors: Mulsow Martin 
Published: February 2023

ZusammenfassungDer Beitrag erkundet die Anforderungen, die sich ergeben, wenn man statt von »Intellectual History« oder »Ideengeschichte« doch wieder von Geistesgeschichte sprechen möchte – in methodisch aktualisierter Weise. Dann, so das Argument, müßten die synthetischen Anmutungen, die im Begriff des »Geistes« im Singular stecken, in zeitgemäßer Weise reformuliert werden können. Der Aufsatz macht einige Vorschläge, in welcher Weise das geschehen könnte.
Data-Driven Technologies as Enablers for Value Creation in the Prevention of Surgical Site Infections: a Systematic Review
Authors: Irgang Luís , Barth Henrik , Holmén Magnus 
Published: February 2023

AbstractDespite the advances in modern medicine, the use of data-driven technologies (DDTs) to prevent surgical site infections (SSIs) remains a major challenge. Scholars recognise that data management is the next frontier in infection prevention, but many aspects related to the benefits and advantages of using DDTs to mitigate SSI risk factors remain unclear and underexplored in the literature. This study explores how DDTs enable value creation in the prevention of SSIs. This study follows a systematic literature review approach and the PRISMA statement to analyse peer-reviewed articles from seven databases. Fifty-nine articles were included in the review and were analysed through a descriptive and a thematic analysis. The findings suggest a growing interest in DDTs in SSI prevention in the last 5 years, and that machine learning and smartphone applications are widely used in SSI prevention. DDTs are mainly applied to prevent SSIs in clean and clean-contaminated surgeries and often used to manage patient-related data in the postoperative stage. DDTs enable the creation of nine categories of value that are classified in four dimensions: cost/sacrifice, functional/instrumental, experiential/hedonic, and symbolic/expressive. This study offers a unique and systematic overview of the value creation aspects enabled by DDT applications in SSI prevention and suggests that additional research is needed in four areas: value co-creation and product-service systems, DDTs in contaminated and dirty surgeries, data legitimation and explainability, and data-driven interventions.
Point-of-Care Ultrasound to Identify Rib Osteomyelitis in the Infants: a Case Report
Authors: Montero-Yéboles R. , Manzanares-Santos S. , Díaz-Rueda L. , Velasco-Jabalquinto M. J. , Ruiz-Sáez B. , Pérez-Navero J. L. 
Published: February 2023

AbstractThe number of reported cases of rib osteomyelitis is very infrequent. Magnetic resonance is generally the best test in these cases, due to its high sensitivity and specificity. However, given this technique has some drawbacks, it is usually restricted to cases of bad evolution. A relevant, easy to perform, bedside imaging test is the point of care ultrasound. We present the case of a 2-month-old infant with a rib osteomyelitis detected by point-of-care ultrasound in the context of sepsis after abdominal surgery. The thoracic ultrasound revealed a lesion adjacent to the right sixth rib and round extra-parenchymal collection in the right costophrenic sinus. Chest computed tomography confirmed the presence of a hypodense collection at the costochondral junction of the right seventh rib with pleural thickening and an increase in soft tissues, compatible with osteomyelitis. Our ultrasound finding in the absence of specific clinical data of rib osteomyelitis led us to a change in the duration of the antibiotic treatment already established and therefore likely led to an improvement in the patient’s prognosis. The ultrasound has gained increasing prominence due to its usefulness in diagnosis and monitoring, especially in pediatric intensive care, given the ease of use at the patient’s bedside.