bluuebunny/crossref_metadata_2025_split huggingface dataset:
Home range and habitat use of vervet monkeys in the urban forest mosaic landscape of Durban, eThekwini Municipality, KwaZulu-Natal, South Africa
Authors: Pillay Kerushka R. , Streicher Jarryd P. , Downs Colleen T. 
Published: August 2023

AbstractGenerally, urbanisation affects biodiversity negatively; however, some species thrive in urban areas. One mammalian species thriving in the urban forest mosaic landscape is the vervet monkey (Chlorocebus pygerythrus), particularly in Durban, eThekwini Municipality, KwaZulu-Natal Province, South Africa. Vervet monkeys’ spatial use can provide important ecological information to understand their behavioural plasticity in an urban forest mosaic landscape. We, therefore, captured and collared vervet monkeys with Global Positioning System (GPS)-Ultra High Frequency (UHF) transmitters in two sites of varying degrees of urban and natural land-use types within eThekwini. Three home range methods Minimum Convex Polygon (MCP), Kernel Density Estimator (KDE), and Local Convex Hull (LoCoH) were used to determine individual home range size and core area use. Home range (30.7 ha 95% KDE) and core area (6.5 ha 50% KDE) estimates were relatively small for these vervet monkeys. Forest and thicket, and built-up habitat types were most used by vervet monkeys across the urban forest mosaic landscape. Overall, individuals in this study showed that the vervet monkeys, regardless of the environment, can successfully exist across the urban forest mosaic landscape. The spatial ecology of urban vervet monkeys provides valuable information for future education and management interventions, especially where there are negative human-monkey interactions amongst urban communities.
The engage taxonomy: SDT-based measurable engagement indicators for MOOCs and their evaluation
Authors: Cristea Alexandra I. , Alamri Ahmed , Alshehri Mohammed , Pereira Filipe Dwan , Toda Armando M. , de Oliveira Elaine Harada T. , Stewart Craig 
Published: August 2023

Abstract Massive Online Open Course (MOOC) platforms are considered a distinctive way to deliver a modern educational experience, open to a worldwide public. However, student engagement in MOOCs is a less explored area, although it is known that MOOCs suffer from one of the highest dropout rates within learning environments in general, and in e-learning in particular. A special challenge in this area is finding early, measurable indicators of engagement. This paper tackles this issue with a unique blend of data analytics and NLP and machine learning techniques together with a solid foundation in psychological theories. Importantly, we show for the first time how Self-Determination Theory (SDT) can be mapped onto concrete features extracted from tracking student behaviour on MOOCs. We map the dimensions of Autonomy, Relatedness and Competence, leading to methods to characterise engaged and disengaged MOOC student behaviours, and exploring what triggers and promotes MOOC students’ interest and engagement. The paper further contributes by building the Engage Taxonomy, the first taxonomy of MOOC engagement tracking parameters, mapped over 4 engagement theories: SDT, Drive, ET, Process of Engagement. Moreover, we define and analyse students’ engagement tracking, with a larger than usual body of content (6 MOOC courses from two different universities with 26 runs spanning between 2013 and 2018) and students (initially around 218.235). Importantly, the paper also serves as the first large-scale evaluation of the SDT theory itself, providing a blueprint for large-scale theory evaluation. It also provides for the first-time metrics for measurable engagement in MOOCs, including specific measures for Autonomy, Relatedness and Competence; it evaluates these based on existing (and expanded) measures of success in MOOCs: Completion rate, Correct Answer ratio and Reply ratio. In addition, to further illustrate the use of the proposed SDT metrics, this study is the first to use SDT constructs extracted from the first week, to predict active and non-active students in the following week.
Adversarial Coreset Selection for Efficient Robust Training
Authors: Dolatabadi Hadi M. , Erfani Sarah M. , Leckie Christopher 
Published: August 2023

AbstractIt has been shown that neural networks are vulnerable to adversarial attacks: adding well-crafted, imperceptible perturbations to their input can modify their output. Adversarial training is one of the most effective approaches to training robust models against such attacks. Unfortunately, this method is much slower than vanilla training of neural networks since it needs to construct adversarial examples for the entire training data at every iteration. By leveraging the theory of coreset selection, we show how selecting a small subset of training data provides a principled approach to reducing the time complexity of robust training. To this end, we first provide convergence guarantees for adversarial coreset selection. In particular, we show that the convergence bound is directly related to how well our coresets can approximate the gradient computed over the entire training data. Motivated by our theoretical analysis, we propose using this gradient approximation error as our adversarial coreset selection objective to reduce the training set size effectively. Once built, we run adversarial training over this subset of the training data. Unlike existing methods, our approach can be adapted to a wide variety of training objectives, including TRADES, $$\ell _p$$

ℓ
p

-PGD, and Perceptual Adversarial Training. We conduct extensive experiments to demonstrate that our approach speeds up adversarial training by 2–3 times while experiencing a slight degradation in the clean and robust accuracy.
Cancer survivorship programs for patients from culturally and linguistically diverse (CALD) backgrounds: a scoping review
Authors: Kasherman Lawrence , Yoon Won-Hee , Tan Sim Yee , Malalasekera Ashanya , Shaw Joanne , Vardy Janette 
Published: August 2023

Abstract
Purpose
People of Culturally and Linguistically Diverse (CALD) backgrounds face disparities in cancer care. This scoping review aims to identify the breadth of international literature focused on cancer survivorship programs/interventions specific to CALD populations, and barriers and facilitators to program participation.

Methods
Scoping review included studies focused on interventions for CALD cancer survivors after curative-intent treatment. Electronic databases: Medline, Embase, CINAHL, PsycInfo and Scopus were searched, for original research articles from database inception to April 2022.

Results
710 references were screened with 26 included: 14 randomized (54%), 6 mixed-method (23%), 4 non-randomized experimental (15%), 2 qualitative studies (8%). Most were United States-based (85%), in breast cancer survivors (88%; Table 1), of Hispanic/Latinx (54%) and Chinese (27%) backgrounds. Patient-reported outcome measures were frequently incorporated as primary endpoints (65%), or secondary endpoints (15%). 81% used multi-modal interventions with most encompassing domains of managing psychosocial (85%) or physical (77%) effects from cancer, and most were developed through community-based participatory methods (46%) or informed by earlier work by the same research groups (35%). Interventions were usually delivered by bilingual staff (88%). 17 studies (77%) met their primary endpoints, such as meeting feasibility targets or improvements in quality of life or psychological outcomes. Barriers and facilitators included cultural sensitivity, health literacy, socioeconomic status, acculturation, and access.

Conclusions
Positive outcomes were associated with cancer survivorship programs/interventions for CALD populations. As we identified only 26 studies over the last 14 years in this field, gaps surrounding provision of cancer survivorship care in CALD populations remain.

Implications for cancer survivors
Ensuring culturally sensitive and specific delivery of cancer survivorship programs and interventions is paramount in providing optimal care for survivors from CALD backgrounds.
The Effect and Mechanism of POSTN and Its Alternative Splicing on the Apoptosis of Myocardial Cells in Acute Myocardial Infarction: A Study in Vitro
Authors: Liu Xuemei , Tuerxusssn Zulikaier , Balati Yumaierjiang , Gong Pengfei , Zhang Ze , Bao Zhen , Yang Yuchun , He Pengyi , Muhuyati  
Published: August 2023

AbstractOur study aimed to investigate key molecular targets in the pathogenesis of AMI, and provide new strategy for the treatment. In this work, the myocardial ischemia and hypoxia model was constructed by using HL-1 mouse cardiomyocytes. The over-expressing POSTN wild-type, mutant and negative control lentiviruses (GV492-POSTNWT,GV492-POSTN-MUT, GV492-NC) was conducted and transfected. Cardiomyocytes were examined for cell proliferation and apoptosis to explore the effects of POSTN and its alternative splicing. The endoplasmic reticulum stess-related apoptosis proteins were selected and detected. We found that POSTN could promote the proliferation of normal and hypoxic cardiomyocytes and inhibit their apoptosis. The mechanism by which POSTN inhibited cardiomyocyte apoptosis may be through inhibiting the GRP78-eIF2α-ATF4-CHOP pathway of endoplasmic reticulum stress. Alternative splicing of POSTN could inhibit the apoptosis of ischemic and hypoxic cardiomyocytes, and its mechanism needs to be confirmed by further studies. We drawed the conclusion that POSTN might be a potential therapeutic target for AMI.
Steroidogenic activity of liposomal methylated resveratrol analog 3,4,5,4′-tetramethoxystilbene (DMU-212) in human luteinized granulosa cells in a primary three-dimensional in vitro model
Authors: Józkowiak Małgorzata , Kobylarek Dominik , Bryja Artur , Gogola-Mruk Justyna , Czajkowski Mikołaj , Skupin-Mrugalska Paulina , Kempisty Bartosz , Spaczyński Robert Z. , Piotrowska-Kempisty Hanna 
Published: August 2023

Abstract
Purpose
Steroid hormone secretion is one of the key functions of granulosa cells (GCs). Resveratrol is a natural polyphenol, known for its beneficial health effects, such as improving reproductive health. However, its application is limited due to poor bioavailability. The methoxy derivative of resveratrol (DMU-212) was demonstrated to be more lipophilic, and therefore of greater bioavailability. However, since the addition of methoxy groups to the stilbene scaffold was found to make the molecule insoluble in water, DMU-212 was loaded into liposomes. This study aimed to evaluate how the liposomal formulation of DMU-212 (lipDMU-212) alters estradiol and progesterone secretion of human ovarian GCs in a primary three-dimensional cell culture model.

Methods
DMU-212-loaded liposomes were prepared by thin film hydration followed by extrusion. Cell viability was measured after exposure of GCs spheroids to the liposomal formulation of DMU-212 using CellTiter-Glo® 3D Cell Viability Assay. The secretion of estradiol and progesterone was determined using commercial ELISA kits. RT-qPCR was conducted to analyze the expression of steroidogenesis-related genes. Finally, the western blot technique was used to analyze the effect of lipDMU-212 and FSH treatments on CYP11A1 and HSD3B1 protein levels.

Results
lipDMU-212 was found to significantly increase estradiol and progesterone secretion in a dose-dependent manner by enhancing the expression of CYP11A1, HSD3B1, StAR, CYP17A1, CYP19A1, and HSD17B1 genes. We have also shown that lipDMU-212, used alone and in combination with FSH, significantly increased the expression of the HSD3B1 and CYP11A1 proteins in GCs. Furthermore, our study suggests that lipDMU-212 increases FSH activity.

Conclusions
This is the first study to describe the steroidogenic activity of liposomal formulation of DMU-212, possibly through increasing the StAR and CYP19A1 expression. These findings suggest that lipDMU-212 might have a beneficial effect in the treatment of disorders related to estrogen deficiency and hyperandrogenism, such as PCOS.
Clustering systems of phylogenetic networks
Authors: Hellmuth Marc , Schaller David , Stadler Peter F. 
Published: August 2023

AbstractRooted acyclic graphs appear naturally when the phylogenetic relationship of a set X of taxa involves not only speciations but also recombination, horizontal transfer, or hybridization that cannot be captured by trees. A variety of classes of such networks have been discussed in the literature, including phylogenetic, level-1, tree-child, tree-based, galled tree, regular, or normal networks as models of different types of evolutionary processes. Clusters arise in models of phylogeny as the sets $${{\,\mathrm{\texttt{C}}\,}}(v)$$

C

(
v
)

of descendant taxa of a vertex v. The clustering system $$\mathscr {C}_N$$

C
N

comprising the clusters of a network N conveys key information on N itself. In the special case of rooted phylogenetic trees, T is uniquely determined by its clustering system $$\mathscr {C}_T$$

C
T

. Although this is no longer true for networks in general, it is of interest to relate properties of N and $$\mathscr {C}_N$$

C
N

. Here, we systematically investigate the relationships of several well-studied classes of networks and their clustering systems. The main results are correspondences of classes of networks and clustering systems of the following form: If N is a network of type $$\mathbb {X}$$
X
, then $$\mathscr {C}_N$$

C
N

satisfies $$\mathbb {Y}$$
Y
, and conversely if $$\mathscr {C}$$
C
is a clustering system satisfying $$\mathbb {Y},$$

Y
,

then there is network N of type $$\mathbb {X}$$
X
such that $$\mathscr {C}\subseteq \mathscr {C}_N$$

C
⊆

C
N

.This, in turn, allows us to investigate the mutual dependencies between the distinct types of networks in much detail.
Trade and the government underfunding of environmental innovation
Authors: Zhang Muzhou 
Published: August 2023

AbstractHow does trade affect the making and implementation of environmental policies? I extend our understanding about this broad research question with an understudied case: government support for environmental innovation. As the foremost channel wherein cross-border technology transfer occurs, trade materializes the positive externality of technology investment. With this in mind, countries may tend to strategically underfund environmental technologies—particularly when their trade partners enlarge that spending—to have more money to use otherwise and to avoid politically awkward innovation failures. To substantiate this crowding-out argument, I perform spatial regression with data from 32 OECD countries, 1982–2017, and find that government spending on environmental R&D in one country is negatively correlated with that of the country’s trade partners in environmental goods. My research contributes to the literature by adding new to our understanding about the international trade-environmental policy nexus, depicting a new scenario wherein states underprovide global public goods, and showing the strategic calculus underlying the use of technology-push strategy in addressing climate change.
Regenerative Strategies in Treatment of Peripheral Nerve Injuries in Different Animal Models
Authors: Khaled Mona M , Ibrahium Asmaa M , Abdelgalil Ahmed I , El-Saied Mohamed A. , El-Bably Samah H 
Published: August 2023

Abstract
BACKGROUND:
Peripheral nerve damage mainly resulted from traumatic or infectious causes; the main signs of a damaged nerve are the loss of sensory and/or motor functions. The injured nerve has limited regenerative capacity and is recovered by the body itself, the recovery process depends on the severity of damage to the nerve, nowadays the use of stem cells is one of the new and advanced methods for treatment of these problems.

METHOD:
Following our review, data are collected from different databases "Google scholar, Springer, Elsevier, Egyptian Knowledge Bank, and PubMed" using different keywords such as Peripheral nerve damage, Radial Nerve, Sciatic Nerve, Animals, Nerve regeneration, and Stem cell to investigate the different methods taken in consideration for regeneration of PNI.

RESULT:
This review contains tables illustrating all forms and types of regenerative medicine used in treatment of peripheral nerve injuries (PNI) including different types of stem cells " adipose-derived stem cells, bone marrow stem cells, Human umbilical cord stem cells, embryonic stem cells" and their effect on re-constitution and functional recovery of the damaged nerve which evaluated by physical, histological, Immuno-histochemical, biochemical evaluation, and the review illuminated the best regenerative strategies help in rapid peripheral nerve regeneration in different animal models included horse, dog, cat, sheep, monkey, pig, mice and rat.

CONCLUSION:
Old surgical attempts such as neurorrhaphy, autogenic nerve transplantation, and Schwann cell implantation have a limited power of recovery in cases of large nerve defects. Stem cell therapy including mesenchymal stromal cells has a high potential differentiation capacity to renew and form a new nerve and also restore its function.
Evaluation of the clinical relevance of the Biofire© FilmArray pneumonia panel among hospitalized patients
Authors: Søgaard Kirstine K. , Hinic Vladimira , Goldenberger Daniel , Gensch Alexander , Schweitzer Michael , Bättig Veronika , Siegemund Martin , Bassetti Stefano , Bingisser Roland , Tamm Michael , Battegay Manuel , Weisser Maja , Stolz Daiana , Khanna Nina , Egli Adrian 
Published: August 2023

Abstract
Purpose
Panel PCR tests provide rapid pathogen identification. However, their diagnostic performance is unclear. We assessed the performance of the Biofire© FilmArray pneumonia (PN)-panel against standard culture in broncho-alveolar lavage (BAL) samples.

Methods
Setting: University Hospital Basel (February 2019 to July 2020), including hospitalized patients with a BAL (± pneumonia). We determined sensitivity and specificity of the PN-panel against standard culture. Using univariate logistic regression, we calculated odds ratios (OR) for pneumonia according to PN-panel and culture status, stratifying by chronic pulmonary disease. We calculated ORs for pneumonia for different pathogens to estimate the clinical relevance.

Results
We included 840 adult patients, 60% were males, median age was 68 years, 35% had chronic pulmonary disease, 21% had pneumonia, and 36% had recent antibiotic use. In 1078 BAL samples, bacterial pathogens were detected in 36% and 16% with PN-panel and culture, respectively. The overall sensitivity and specificity of the PN-panel was high, whereas the positive predictive value was low. The OR of pneumonia was 1.1 (95% CI 0.7–1.6) for PN-panel-positive only; 2.6 (95% CI 1.3–5.3) for culture-positive only, and 1.6 (95% CI 1.0–2.4) for PN-panel and culture-positive. The detection rate of Haemophilus influenzae, Staphylococcus aureus, and Moraxella catarrhalis in the PN-panel was high but not associated with pneumonia.

Conclusion
While sensitivity and specificity of PN-panel are high compared to culture, pathogen detection did not correlate well with a pneumonia diagnosis. Patients with culture-positive BAL had the highest OR for pneumonia—thus the impact of the PN-panel on clinical management needs further evaluation in randomized controlled trials.
Trends in mortality after a sepsis hospitalization: a nationwide prospective registry study from 2008 to 2021
Authors: Skei Nina Vibeche , Nilsen Tom Ivar Lund , Mohus Randi Marie , Prescott Hallie C. , Lydersen Stian , Solligård Erik , Damås Jan Kristian , Gustad Lise Tuset 
Published: August 2023

Abstract
Background
Few studies have reported on mortality beyond one year after sepsis. We aim to describe trends in short- and long-term mortality among patients admitted with sepsis, and to describe the association between clinical characteristics and mortality for improved monitoring, treatment and prognosis.

Methods
Patients ≥ 18 years admitted to all Norwegian hospitals (2008–2021) with a first sepsis episode were identified using Norwegian Patient Registry and International Classification of Diseases 10th Revision codes. Sepsis was classified as implicit (known infection site plus organ dysfunction), explicit (unknown infection site), or COVID-19-related sepsis. The outcome was all-cause mortality. We describe age-standardized 30-day, 90-day, 1-, 5- and 10-year mortality for each admission year and estimated the annual percentage change with 95% confidence interval (CI). The association between clinical characteristics and all-cause mortality is reported as hazard ratios (HRs) adjusted for age, sex and calendar year in Cox regression.

Results
The study included 222,832 patients, of whom 127,059 (57.1%) had implicit, 92,928 (41.7%) had explicit, and 2,845 (1.3%) had COVID-19-related sepsis (data from 2020 and 2021). Trends in overall age-standardized 30-day, 90-day, 1- and 5-year mortality decreased by 0.29 (95% CI − 0.39 to − 0.19), 0.43 (95% CI − 0.56 to − 0.29), 0.61 (95% CI − 0.73 to − 0.49) and 0.66 (95% CI − 0.84 to − 0.48) percent per year, respectively. The decrease was observed for all infections sites but was largest among patients with respiratory tract infections. Implicit, explicit and COVID-19-related sepsis had largely similar overall mortality, with explicit sepsis having an adjusted HR of 0.980 (95% CI 0.969 to 0.991) and COVID-19-related sepsis an adjusted HR of 0.916 (95% CI 0.836 to 1.003) compared to implicit sepsis. Patients with respiratory tract infections have somewhat higher mortality than those with other infection sites. Number of comorbidities was positively associated with mortality, but mortality varied considerably between different comorbidities. Similarly, number of acute organ dysfunctions was strongly associated with mortality, whereas the risk varied for each type of organ dysfunction.

Conclusion
Overall mortality has declined over the past 14 years among patients with a first sepsis admission. Comorbidity, site of infection, and acute organ dysfunction are patient characteristics that are associated with mortality. This could inform health care workers and raise the awareness toward subgroups of patients that needs particular attention to improve long-term mortality.
Social wellbeing, values, and identity among Caiçara small-scale fishers in southeastern Brazil
Authors: Leite Marta C. F. , Johnson Derek Stephen , Ross Helen , Seixas Cristiana Simão 
Published: August 2023

AbstractAlthough much in the lives of members of the Caiçara small-scale fishing communities of Lázaro and Saco da Ribeira in Ubatuba, southeastern Brazil would suggest hardship, that population expresses a surprising degree of satisfaction with life. In this paper, we use a social wellbeing lens as applied through an ethnographic, mixed methods approach to reflect on this overall sense that lives rooted in small-scale fishing are well worth living despite their many challenges. We see the classic maritime anthropology theme of identity at the heart of meaning and life satisfaction. Identity provides core aspects of how people engage with their realities and anchors values that are reference points in work and social relations. With reference to the relational nuances revealed by the social wellbeing perspective, however, we show that Caiçara and small-scale fishing identities are not monolithic, but reflect gender and other social positions, and personal and familial experiences. These experiences include grappling with the complex effects of economic, social, political, and environmental changes. We conclude by arguing that fisheries policy that seeks to prioritize human wellbeing would benefit by adopting a social wellbeing perspective. Fisheries policy could thereby take into account identity, values, and relational elements of social life that give meaning and a sense of belonging to small-scale fishers, while also recognizing the cross-cutting and often contradictory variations in human experience that arise from social and economic differences. This social fabric of small-scale fishers’ lives shapes their intentions and actions and is thus a necessary complication to the practice of fisheries management that its proponents need to consider.