bluuebunny/crossref_metadata_2025_split huggingface dataset:
Assessing the Governance Modes of Indonesia’s Forest Management Unit
Authors: Ramadhan Ramli , Karim Soetrisno , Fisher Micah R. , Mursyid Harsanto , Indrawan Mochamad 
Published: February 2023

AbstractDiscussions about forestry governance systems in Indonesia have always been an important area of policy and practice given the sector’s outsized role in natural resources management. In recent years, the forest management system has been intimately linked to the concept of a Forest Management Unit (FMU), which was established to conduct scientifically sound forest management practices. FMUs were created in response to the historical failures of rule-based forest management and privatization, which resulted in the emergence of the notion of professional forestry. However, forest governance systems are once again changing as a result of the aftermath of Indonesia’s Job Creation Act (a.k.a. Omnibus Law) and its derivative regulations. In this chapter, we apply a governance approach for assessing anticipated changes in the forestry sector. We understand governance as a process operationalized by actors, powers, and rules. Accordingly, we applied the lens of four governance modes in our analysis, which includes hierarchical governance, closed co-governance, open co-governance, and self-governance. FMUs assist the central government as a facilitating institution and provide a window into understanding ongoing forestry changes. Policy changes indicate that nongovernment actors are gaining increased access to permit-based forest use, thus potentially replacing the envisioned role of FMUs as key actors at the site level. Nevertheless, although forest use is increasingly being entrusted to nongovernment actors, governance will remain hierarchical, wherein the central government serves as the dominant actor enacting regulatory mechanisms and guiding actor interactions and participation. As a result, we show that previous modes of forestry sector governance are likely to endure and deepen in the post-Omnibus era.
Chronische posttraumatische Schulterinstabilität
Authors: Bauer S. , Dietz B. , Collin P. , Neyton L. , Blakeney W. , Zumstein M. 
Published: February 2023

ZusammenfassungDie chronische posttraumatische Schulterinstabilität ist durch traumaassoziierte, rezidivierende Luxationen charakterisiert. Es wird kontrovers diskutiert, wie Risikofaktoren zur Auswahl zwischen arthroskopischer Bankart-Reparatur mit Kapselshift (ABRK), Latarjet- und Alternativtechniken gewichtet werden sollten. Als Risikofaktoren gelten Lebensalter, Hyperlaxizität, Sportprofil und Knochenverlust. Die ABRK geht mit hoher Patientenzufriedenheit und Rückkehr zum Sport einher. Rezidive treten, assoziiert mit Risikofaktoren, noch nach mehreren Jahren auf. Latarjet- oder Knocheneingriffe erzielen eine hohe Patientenzufriedenheit und dauerhafte Stabilität im Revisionsfall, können aber auch als Ersteingriff bei entsprechendem Risikoprofil indiziert sein, wobei von einer höheren Rate meist leichter Komplikationen berichtet wurde. Jegliche Techniken unterliegen einer ernstzunehmenden Lernkurve. Bei korrekter Durchführung scheint das Risiko einer operationsbedingten Arthroseentwicklung nicht erhöht zu sein; diese wird vielmehr durch die Anzahl der Rezidivluxationen und traumatische Gewalteinwirkung beeinflusst.
Case-matched radiological and clinical outcome evaluation of interlaminar versus microsurgical decompression of lumbar spinal stenosis
Authors: Saravi Babak , Ülkümen Sara , Lang Gernot , Couillard-Després Sébastien , Hassel Frank 
Published: February 2023

Abstract
Purpose
Endoscopic spine surgery is a globally expanding technique advocated as less invasive for spinal stenosis treatment compared to the microsurgical approach. However, evidence on the efficiency of interlaminar full-endoscopic decompression (FED) vs. conventional microsurgical decompression (MSD) in patients with lumbar spinal stenosis is still scarce. We conducted a case-matched comparison for treatment success with consideration of clinical, laboratory, and radiologic predictors.

Methods
We included 88 consecutive patients (FED: 36/88, 40.9%; MSD: 52/88, 59.1%) presenting with lumbar central spinal stenosis. Surgery-related (operation time, complications, length of stay (LOS), American Society of Anesthesiologists physical status (ASA) score, C-reactive protein (CRP), white blood cell count, side of approach (unilateral/bilateral), patient-related outcome measures (PROMs) (Oswestry disability index (ODI), numeric rating scale of pain (NRS; leg-, back pain), EuroQol questionnaire (eQ-5D), core outcome measures index (COMI)), and radiological (dural sack cross-sectional area, Schizas score (SC), left and right lateral recess heights, and facet angles, respectively) parameters were extracted at different time points up to 1-year follow-up. The relationship of PROMs was analyzed using Spearman’s rank correlation. Surgery-related outcome parameters were correlated with patient-centered and radiological outcomes utilizing a regression model to determine predictors for propensity score matching.

Results
Complication (most often residual sensorimotor deficits and restenosis due to hematoma) rates were higher in the FED (33.3%) than MSD (13.5%) group (p < 0.05), while all complications in the FED group were observed within the first 20 FED patients. Operation time was higher in the FED, whereas LOS was higher in the MSD group. Age, SC, CRP revealed significant associations with PROMs. We did not observe significant differences in the endoscopic vs. microsurgical group in PROMs. The correlation between ODI and COMI was significantly high, and both were inversely correlated with eQ-5D, whereas the correlations of these PROMs with NRS findings were less pronounced.

Conclusions
Endoscopic treatment of lumbar spinal stenosis was similarly successful as the conventional microsurgical approach. Although FED was associated with higher complication rates in our single-center study experience, the distribution of complications indicated surgical learning curves to be the main factor of these findings. Future long-term prospective studies considering the surgical learning curve are warranted for reliable comparisons of these techniques.
Do patterns of past asbestos use and production reflect current geographic variations of cancer risk?: mesothelioma in Ontario and British Columbia, Canada
Authors: Slavik Catherine E. , Demers Paul A. , Tamburic Lillian , Warden Hunter , McLeod Christopher 
Published: February 2023

Abstract
Purpose
Canada was a major global asbestos producer and consumer. Geographic patterns of Canadian asbestos use and mesothelioma, a highly fatal cancer linked to asbestos exposure, have not been previously reported. This study summarized key trends in mesothelioma incidence by geography and time in two Canadian provinces, Ontario and British Columbia (BC), and explored how past workforce characteristics and geographic trends in asbestos production and use may shape variations in regional rates of mesothelioma.

Methods
We report trends in mesothelioma incidence (1993–2016) for Ontario and British Columbia using population-based incidence data that were age-standardized to the 2011 Canadian population. Historical records of asbestos production and use were analyzed to geo-locate industrial point sources of asbestos in Ontario and BC. The prevalence of occupations in regions with the highest and lowest rates of mesothelioma in Ontario and BC were calculated using labor force statistics from the 1981 Canadian Census.

Results
Regional mesothelioma rates varied in both provinces over time; more census divisions in both Ontario and BC registered mesothelioma rates in the highest quintile of incidences during the period 2009 to 2016 than in any prior period examined. Certain occupations such as construction trades workers were more likely to be overrepresented in regions with high mesothelioma rates.

Conclusion
This work explored how studying asbestos exposure and mesothelioma incidence at small-scale geographies could direct cancer surveillance and research to more targeted areas. Findings indicated that regional variations in mesothelioma could signal important differences in past occupational and potentially environmental exposures.
Positive Parenting and Early Childhood Cognition: A Systematic Review and Meta-Analysis of Randomized Controlled Trials
Authors: Prime Heather , Andrews Krysta , Markwell Alexandra , Gonzalez Andrea , Janus Magdalena , Tricco Andrea C. , Bennett Teresa , Atkinson Leslie 
Published: February 2023

AbstractThis review examines the effectiveness of positive parenting interventions aimed at improving sensitivity, responsiveness, and/or non-harsh discipline on children’s early cognitive skills, in four meta-analyses addressing general mental abilities, language, executive functioning, and pre-academics. The objectives are to assess the magnitude of intervention effectiveness and identify moderators of effectiveness. We include randomized controlled trials of interventions targeting positive parenting to improve cognition in children < 6 years. Studies that include children with neurodevelopmental and/or hearing disorders were excluded. MEDLINE, PsycINFO, ERIC, and ProQuest Dissertations & Theses (October 2021) and citation chaining identified relevant records. Five reviewers completed screening/assessments, extraction, and risk of bias. Pooled analysis in Comprehensive Meta-Analysis (Version 3) used random effects modeling, with moderation via Q-statistics and meta-regression. Positive parenting interventions led to significant improvements in mental abilities (g = 0.46, N = 5746; k = 33) and language (g = 0.25, N = 6428; k = 30). Effect sizes were smaller and nonsignificant for executive functioning (g = 0.07, N = 3628; k = 14) and pre-academics (g = 0.16, N = 2365; k = 7). Robust moderators emerged for language and cognition. For cognition, studies with higher risk of bias scores yielded larger intervention effects. For language, studies with younger children had larger effect sizes. Studies mitigated selection and detection bias, though greater transparency of reporting is needed. Interventions that promote parental sensitivity, responsiveness, and non-harsh discipline improve early mental abilities and language. Studies examining executive functioning and pre-academics are needed to examine moderators of intervention effectiveness.
Trial registration Systematic review PROSPERO registration. CRD42020222143
Cultural and neighborhood characteristics associated with activity-specific parenting practices in Hispanic/Latino youth: a secondary analysis of the Hispanic Community Children’s health study/study of Latino youth
Authors: Gonzalez Christopher J. , LeCroy Madison N. , Daviglus Martha L. , Van Horn Linda , Gallo Linda C. , Gonzalez Franklyn , Perreira Krista M. , Llabre Maria M. , Shapiro Martin F. , Isasi Carmen R. 
Published: February 2023

AbstractHispanic/Latino youth are less physically active than non-Hispanic/Latino youth. We assessed whether activity-specific parenting practices relate to moderate-to-vigorous physical activity (MVPA) and sedentary behavior among Hispanic/Latino youth, and whether cultural (acculturation) and neighborhood characteristics (perceived barriers to activity) relate to the use of parenting practice patterns. Using the Hispanic Community Children’s Health Study/Study of Latino Youth (SOL Youth, n = 976 8–16-year-olds), we modeled linear regression associations between parenting practices and mean daily MVPA and sedentary behavior. Parenting practice patterns were then developed using k-means cluster analysis, and regressed on parental acculturation and neighborhood characteristics. Discipline predicted higher MVPA in females (β 1.89 [95% CI 0.11–3.67]), while Monitoring/Reinforcement predicted higher MVPA in males (β 4.71 [95% CI 0.68–8.74]). Three patterns were then identified: Negative Reinforcement (high Limit Setting and Discipline use), Positive Reinforcement (high Limit Setting and Monitoring/Reinforcement use), and Permissive Parenting (low parenting practice use). Higher acculturation predicted use of Positive Reinforcement. Activity-specific parenting practices are associated with activity in sex-specific ways among Hispanic/Latino youth, and cultural factors predict the use of parenting practices.
Missing data imputation techniques for wireless continuous vital signs monitoring
Authors: van Rossum Mathilde C. , da Silva Pedro M. Alves , Wang Ying , Kouwenhoven Ewout A. , Hermens Hermie J. 
Published: February 2023

AbstractWireless vital signs sensors are increasingly used for remote patient monitoring, but data analysis is often challenged by missing data periods. This study explored the performance of various imputation techniques for continuous vital signs measurements. Wireless vital signs measurements (heart rate, respiratory rate, blood oxygen saturation, axillary temperature) from surgical ward patients were used for repeated random simulation of missing data periods (gaps) of 5–60 min in two-hour windows. Gaps were imputed using linear interpolation, spline interpolation, last observation- and mean carried forwards technique, and cluster-based prognosis. Imputation performance was evaluated using the mean absolute error (MAE) between original and imputed gap samples. Besides, effects on signal features (window’s slope, mean) and early warning scores (EWS) were explored. Gaps were simulated in 1743 data windows, obtained from 52 patients. Although MAE ranges overlapped, median MAE was structurally lowest for linear interpolation (heart rate: 0.9–2.6 beats/min, respiratory rate: 0.8–1.8 breaths/min, temperature: 0.04–0.17 °C, oxygen saturation: 0.3–0.7% for 5–60 min gaps) but up to twice as high for other techniques. Three techniques resulted in larger ranges of signal feature bias compared to no imputation. Imputation led to EWS misclassification in 1–8% of all simulations. Imputation error ranges vary between imputation techniques and increase with gap length. Imputation may result in larger signal feature bias compared to performing no imputation, and can affect patient risk assessment as illustrated by the EWS. Accordingly, careful implementation and selection of imputation techniques is warranted.
Machine learning in crime prediction
Authors: Jenga Karabo , Catal Cagatay , Kar Gorkem 
Published: February 2023

AbstractPredicting crimes before they occur can save lives and losses of property. With the help of machine learning, many researchers have studied predicting crimes extensively. In this paper, we evaluate state-of-the-art crime prediction techniques that are available in the last decade, discuss possible challenges, and provide a discussion about the future work that could be conducted in the field of crime prediction. Although many works aim to predict crimes, the datasets they used and methods that are applied are numerous. Using a Systematic Literature Review (SLR) methodology, we aim to collect and synthesize the required knowledge regarding machine learning-based crime prediction and help both law enforcement authorities and scientists to mitigate and prevent future crime occurrences. We focus primarily on 68 selected machine learning papers that predict crime. We formulate eight research questions and observe that the majority of the papers used a supervised machine learning approach, assuming that there is prior labeled data, and however in some cases, there is no labeled data in real-world scenarios. We have also discussed the main challenges found while conducting some of the studies by the researchers. We consider that this research paves the way for further research to help governments and countries fight crime and decrease this for better safety and security.
On infinite 2-orbit polyhedra in classes $$2_0$$ and $$2_2$$
Authors: Pellicer Daniel , Williams Gordon I. 
Published: February 2023

AbstractWe describe all 2-orbit skeletal polyhedra in classes $$2_0$$

2
0

and $$2_2$$

2
2

in $$\mathbb {E}^3$$

E

3

. Those in class $$2_2$$

2
2

are continuous deformations of the three Petrie–Coxeter polyhedra and therefore are arranged in three families. Those in class $$2_0$$

2
0

are the Petrie duals of the chiral polyhedra in $$\mathbb {E}^3$$

E

3

and are classified in six families.
COVID-19 Predictive Models Based on Grammatical Evolution
Authors: Tsoulos Ioannis G. , Stylios Chrysostomos , Charalampous Vlasis 
Published: February 2023

AbstractA feature construction method that incorporates a grammatical guided procedure is presented here to predict the monthly mortality rate of the COVID-19 pandemic. Three distinct use cases were obtained from publicly available data and three corresponding datasets were created for that purpose. The proposed method is based on constructing artificial features from the original ones. After the artificial features are generated, the original data set is modified based on these features and a machine learning model, such as an artificial neural network, is applied to the modified data. From the comparative experiments done, it was clear that feature construction has an advantage over other machine learning methods for predicting pandemic elements.
Plato's <I>Phaedo</I>
Authors: Ebrey David 
Published: February 2023

Plato's Phaedo is a literary gem that develops many of his most famous ideas. David Ebrey's careful reinterpretation argues that the many debates about the dialogue cannot be resolved so long as we consider its passages in relative isolation from one another, separated from their intellectual background. His book shows how Plato responds to his literary, religious, scientific, and philosophical context, and argues that we can only understand the dialogue's central ideas and arguments in light of its overall structure. This approach yields new interpretations of the dialogue's key ideas, including the nature and existence of 'Platonic' forms, the existence of the soul after death, the method of hypothesis, and the contemplative ethical ideal. Moreover, this comprehensive approach shows how the characters play an integral role in the Phaedo's development and how its literary structure complements Socrates' views while making its own distinctive contribution to the dialogue's drama and ideas.
Multiphase segmentation of digital material images
Authors: Saxena Rishu , Day-Stirrat Ruarri , Pradhan Chaitanya 
Published: February 2023

Abstract
Multiphase segmentation of pore-scale features and identification of mineralogy from digital images of materials is critical for many applications in the natural resources sector. However, the materials involved (rocks, catalyst pellets, and synthetic alloys) have complex and unpredictable composition. Algorithms that can be extended for multiphase segmentation of images of these materials are relatively few and very human-intensive. Challenges lie in designing algorithms that are context free, can function with less training data, and can handle the unpredictability of material composition. Semisupervised algorithms have shown success in classification in situations characterized by limited training data; they use unlabeled data in addition to labeled data to produce classification. The segmentation obtained can be more accurate than fully supervised learning approaches. This work proposes using a semisupervised clustering algorithm named Continuous Iterative Guided Spectral Class Rejection (CIGSCR) toward multiphase segmentation of digital scans of materials. CIGSCR harnesses spectral cohesion, splitting the intensity histogram of the input image down into clusters. This splitting provides the foundation for classification strategies that can be implemented as postprocessing steps to get the final segmentation. One classification strategy is presented. Micro-computed tomography scans of rocks are used to present the results. It is demonstrated that CIGSCR successfully enables distinguishing features up to the uniqueness of grayscale values, and extracting features present in full image stacks (3D), including features not presented in the training data. Results including instances of success and limitations are presented. Scalability to data sizes

$ \mathcal{O}\left({10}^9\right) $

voxels is briefly discussed.
Impact of a culturally sensitive multilingual community outreach model on coronavirus disease 2019 (COVID-19) vaccinations at an urban safety-net community hospital
Authors: Echeverria Stephanie L. , Shultz Genessa , Navarro Orquidea , Li Ella , Sifuentes James , Lavani Romeen , Takhsh Eden , Mena Lora Alfredo J. 
Published: February 2023

AbstractWe assessed the efficacy of a culturally competent outreach model with promotoras in raising the coronavirus disease 2019 (COVID-19) first-dose vaccination rates in Chicago’s at-risk ZIP codes from February through May 2021. Utilizing community members from within target communities may reduce barriers, increase vaccination rates, and enhance COVID-19 prevention.
A maximum entropy estimate of uncertainty about a wine rating
Authors: Bodington Jeffrey C. 
Published: February 2023

AbstractMuch research shows that the ratings that judges assign to the same wine are uncertain. And while the ratings may be independent, research also shows that they are not identically distributed. Thus, an acute difficulty in ratings-related research and in calculating consensus among judges is that each rating is one observation drawn from a latent distribution that is wine- and judge-specific. What can be deduced about the shape of a latent distribution from one observation? A simple maximum entropy estimator is proposed to describe the distribution of a rating observed. The estimator can express the implications of zero, one, a few blind replicates, and many observations. Several tests of the estimator show that results are consistent with the results of experiments with blind replicates and that results are more accurate than results based on observed ratings alone.
CHARACTERISTICS OF PINE NEEDLES EXPOSED TO POLLUTION IN SILESIA, POLAND: CARBON ISOTOPES, iWUE, AND TRACE ELEMENT CONCENTRATIONS IN PINE NEEDLES
Authors: Sensuła Barbara , Piotrowska Natalia , Nowińska Katarzyna , Koruszowic Michał , Lazaj Dawid , Osadnik Rafał , Paluch Radosław , Stasiak Adam , Strączek Beniamin 
Published: February 2023

ABSTRACTHere, we present the results of carbon isotope and elemental analysis of one-year-old Pinus Sylvestris L. needles collected in 2021 from 10 sampling sites in a highly populated and industrialized area of Poland. The needles were exposed to air pollution for one year. The chemical analysis of the samples was performed using different methods: radiocarbon analysis by accelerator mass spectrometry, stable isotope analysis using isotope ratio mass spectrometry, and elemental analysis by inductively coupled plasma-atomic emission spectroscopy. Variations in the carbon isotopes and elemental composition of pine needles were due to a mixture of carbon dioxide originating from different sources such as households, vehicle traffic, and industrial factories.