bluuebunny/crossref_metadata_2025 huggingface dataset:
Artificial intelligence and medical education: A global mixed-methods study of medical students’ perspectives
Authors: Ejaz Hamza , McGrath Hari , Wong Brian LH , Guise Andrew , Vercauteren Tom , Shapey Jonathan
Published: May 2022

Objective

Medical students, as clinicians and healthcare leaders of the future, are key stakeholders in the clinical roll-out of artificial intelligence-driven technologies. The authors aim to provide the first report on the state of artificial intelligence in medical education globally by exploring the perspectives of medical students.

Methods

The authors carried out a mixed-methods study of focus groups and surveys with 128 medical students from 48 countries. The study explored knowledge around artificial intelligence as well as what students wished to learn about artificial intelligence and how they wished to learn this. A combined qualitative and quantitative analysis was used.

Results

Support for incorporating teaching on artificial intelligence into core curricula was ubiquitous across the globe, but few students had received teaching on artificial intelligence. Students showed knowledge on the applications of artificial intelligence in clinical medicine as well as on artificial intelligence ethics. They were interested in learning about clinical applications, algorithm development, coding and algorithm appraisal. Hackathon-style projects and multidisciplinary education involving computer science students were suggested for incorporation into the curriculum.

Conclusions

Medical students from all countries should be provided teaching on artificial intelligence as part of their curriculum to develop skills and knowledge around artificial intelligence to ensure a patient-centred digital future in medicine. This teaching should focus on the applications of artificial intelligence in clinical medicine. Students should also be given the opportunity to be involved in algorithm development. Students in low- and middle-income countries require the foundational technology as well as robust teaching on artificial intelligence to ensure that they can drive innovation in their healthcare settings.
Public opinion and awareness regarding probation in the Czech Republic
Authors: Tomášek Jan , Háková Lucie , Krulichová Eva
Published: May 2022

Previous research on non-custodial sentences has pointed to the association between awareness of alternatives to prison and public opinion on these alternative measures. Using data from a public opinion survey conducted in the Czech Republic in 2018, the main objective of this study is to examine the extent to which public opinion on probation is influenced by awareness of probation service and support for probation in general. The data suggest that those generally in favour of probation, unlike those opposed, agree with this measure being imposed on a wider range of offenders, are more lenient towards offenders who violate the conditions of their probation, and perceive probation as being beneficial to the criminal justice system and society as a whole. On the other hand, the public’s awareness of the probation service per se seems not to be as important as whether or not the basic principles of probation are embraced.
Progressive Resistance Training Program Characteristics in Rehabilitation Programs Following Hip Fracture: A Meta-Analysis and Meta-Regression
Authors: Ramadi Ailar , Ezeugwu Victor E , Weber Sydnie , Funabashi Martha , Lima Camila Astolphi , Perracini Monica Rodrigues , Beaupre Lauren A
Published: May 2022

Introduction: Older adults often experience incomplete recovery after a hip fracture. Rehabilitation programs with progressive resistance training are associated with improved functional recovery. This systematic review and meta-analysis with meta-regression a) evaluated resistance training characteristics reported in hip fracture rehabilitation programs, b) performed meta-analysis of resistance training impact on strength (primary outcome), gait and physical activity (secondary outcomes), and c) explored resistance training program characteristics associated with improved outcomes using meta-regression. Materials and Methods: Medline, EMBASE, CINAHLPLUS, and Web of Science Core Collection databases were searched (January2000–February2021). Randomized controlled trials including progressive resistance training rehabilitation programs after hip fracture surgery in adults ≥50 years old were included. Meta-analyses and exploratory meta-regression were performed. Results: Meta-analysis showed significant increases in strength (10 trials-728 participants; Standardized Mean Difference (SMD) [95%CI]; .40 [.02, .78]) immediately following program completion in intervention relative to control participants. Meta-analysis on 5 trials (n = 384) with extended follow up found no significant group differences (SMD = .47 [-.28, 1.23]) in strength. Center-based relative to home-based programs were associated with significantly greater improvements in strength ( P < .05) as were programs where resistance training intensity was prescribed using one-repetition maximum relative to other exercise prescription methods ( P < .05). In gait meta-analysis (n = 10 trials-704 participants), gait speed in intervention participants immediately after the program was significantly higher than control (SMD = .42 [.08, .76]) but this finding was not maintained in extended follow-up (n = 5 trials-240 participants; SMD = .6 [-.26, .38]). Higher resistance training intensity was associated with significant improvements in gait speed ( P < .05). No meta-analysis was performed for the 3 heterogeneous studies reporting physical activity. Discussion: Progressive resistance training improved muscle strength and gait speed after hip fracture surgery in adults ≥50years old immediately after the program ended, but the longer-term impact may be more limited. Conclusions: Higher resistance training intensity and center-based programs may be associated with more improvement, but require further research.
The Necessity of Love
Authors: Gonzalez Cassandra Mary Frances
Published: May 2022

bell hooks was a tour-de-force in feminist studies and cultural studies, two disciplines that are seemingly separate from criminal justice and criminology. That distance is what first illuminated for me a critical need, an emptiness in how to connect and understand community and scholarship as a Black woman researching race, gender, and “justice.” Love, according to hooks, is a source of transformation for individuals and for society. It is that same principal of love and transformation that should be necessary for criminologists who purport to study inequalities and the criminal legal system yet is often absent. Love is also necessary to inspire evolution of academics and of scholarship.
The Contribution of Psychological Resilience and Job Meaningfulness to Well-being of Working Cancer Survivors
Authors: Zheng Dianhan , Marbut Alexander R. , Zhang Jing , O’Keefe Louise C.
Published: May 2022

Background:

Although studies suggest that cancer survivors face workplace obstacles, to date there has been little empirical research regarding the personal and environmental factors that can help cancer survivors adjust to work. The purpose of this study was to examine how working survivors’ resilience and job meaningfulness were related to their well-being outcomes, including lower cancer-related intrusive thoughts, fatigue, and presenteeism.

Methods:

We recruited 200 full-time employed cancer survivors from online participant panels using Qualtrics. Participants responded to an online survey that measured their resilience, job meaningfulness, job-related psychological distress, and well-being outcomes. We conducted descriptive statistical analysis, confirmatory factor analysis, and moderated mediated analysis to examine the psychological process in which resilience and job meaning are associated with cancer survivors’ mental health and work outcomes. Findings: The relationship between cancer survivors’ resilience and their well-being outcomes depended on job meaningfulness. For survivors whose jobs were not highly meaningful, their resilience was related to reduced job-related psychological distress, which, in turn, was related to lower intrusive thoughts, fatigue, and presenteeism. For survivors with highly meaningful jobs, they did not need to rely on resilience to protect them from workplace psychological distress and other negative outcomes. Conclusion/Application to Practice: It is important for working cancer survivors to develop resilience, especially when they do not perceive their work as highly meaningful. Successful resilience-building interventions can buffer the negative impact of low job meaningfulness and help working survivors achieve better outcomes. In addition, organizations can actively help enrich survivors’ jobs to increase perceived meaningfulness.
A Cross-Country Network Analysis of Resilience Systems in Young Adults
Authors: Jefferies Philip , Höltge Jan , Fritz Jessica , Ungar Michael
Published: May 2022

Multisystemic resilience has been conceptualised as involving a constellation of protective factors which operate at different levels to promote adaptation and thriving despite experiences of adversity. We used network modelling to discover how protective factors at two different systemic levels (intrapersonal strengths and social-ecological resources) interrelate, drawing on survey data from 5283 emerging adults ( M = 24.53 years; 52% female) in Brazil, China, Indonesia, Russia, Thailand, the US and Vietnam. Results indicated that the level of connectivity within and between protective factor levels was similar between the countries, but that there was substantial variation in the specific interrelations among protective factors (both within and between levels), including the presence of some country-specific negative interrelations between protective factors at different levels. The findings support the importance of cultural context in studies of resilience, with implications for the development of appropriate resilience-building interventions for this age group.
Machine Learning Predicts Recurrent Lumbar Disc Herniation Following Percutaneous Endoscopic Lumbar Discectomy
Authors: Ren GuanRui , Liu Lei , Zhang Po , Xie ZhiYang , Wang PeiYang , Zhang Wei , Wang Hui , Shen MeiJi , Deng LiTing , Tao YuAo , Li Xi , Wang JiaoDong , Wang YunTao , Wu XiaoTao
Published: May 2022

Study Design

Retrospective study.

Objectives

To develop machine learning (ML) models to predict recurrent lumbar disc herniation (rLDH) following percutaneous endoscopic lumbar discectomy (PELD).

Methods

We retrospectively analyzed 1159 patients who had undergone single-level PELD for lumbar disc herniation (LDH) between July 2014 to December 2019 at our institution. Various preoperative imaging variables and demographic metrics were brought in analysis. Student’s t test and Chi-squared test were applied for univariate analysis, which were feature selection for ML models. We established ML models to predict rLDH: Artificial neural networks (ANN), Extreme Gradient Boost classifier (XGBoost), KNeighborsClassifier (KNN), Decision tree classifier (Decision Tree), Random forest classifier (Random Forest), and support vector classifier (SVC).

Results

A total 130 patients (11.22%) were diagnosed as rLDH in 1159 patients. Recurrence occurred within 10.25 ± 11.05 months. Body mass index (BMI) ( P = .027), facet orientation (FO) ( P < .001), herniation type ( P = .012), Modic changes ( P = .004), and disc calcification ( P = .013) are significant factors in univariate analysis ( P < .05). Extreme Gradient Boost classifier, Random Forest, ANN showed fine area under the curve, .9315, .9220, and .8814 respectively.

Conclusion

We developed a deep learning and 2 ensemble models with fine performance in prediction of rLDH following PELD. Predicting re-herniation before surgery has the potential to optimize decision-making and meaningfully decrease the rates of rLDH following PELD. Our ML model identified higher BMI, lower FO, Modic changes, disc calcification in a non-protrusive region, and herniation type (noncontained herniation) as significant features for predicting rLDH.
How to Optimize Pedicle Screw Parameters for the Thoracic Spine? A Biomechanical and Finite Element Method Study
Authors: Solitro Giovanni F. , Welborn Michelle C. , Mehta Ankit I. , Amirouche Farid
Published: May 2022

Study Design

Pedicle screw study.

Objective

The selection of pedicle screw parameters usually involves the surgeon’s analysis of preoperative CT imaging along with anatomical landmarks and tactile examination. However, there is minimal consensus on a standardized guideline for selection methods on pedicle screws. We aimed to determine the effects of thoracic screw diameter to pedicle width on pullout strength determined by cortical bone purchase.

Methods

Biomechanical study performed with human cadaveric thoracic vertebrae and experimentally validated three-dimensional finite element model instrumented with pedicle screws of various diameters. We used a variable (SD/PW) ratio to express the screw selection. We hypothesized a positive correlation between the pullout load determined by the bone purchase and the SD/PW. This relationship was first investigated in a validated finite element model considering bone purchase related to the strength of an upper thoracic vertebra. Then, the correlation to the entire spine is evaluated.

Results

The failure load ranged from 371.3 to 1601.0 N, respectively, for 3 and 6 mm screws. The determinant coefficient was increased to R2=.421 when a linear relationship between pullout load and the SD/PW ratio was used. The peak loads of 1216 and 1288N were found for an SD/PW ratio of .83.

Conclusion

We have found that the screw pullout load is more correlated to SD/PW than other pedicle measures for a maximized SD/PW ratio of .83. This particular value should be considered the upper limit of the indicated SD/PW ratio and a means to determine the optimal screw diameter to enhance pullout strength.
The Relationship of Radiographic Parameters and Morphological Changes at Various Stages of Degeneration of the Lumbar Facet Joints: Cadaver Study
Authors: Byvaltsev Vadim A , Kalinin Andrei A , Shepelev Valerii V , Pestryakov Yurii Ya , Biryuchkov Mikhail Y , Jubaeva Bagdat A , Boddapati Venkat , Lehman Ronald A , Riew K Daniel
Published: May 2022

Study Design

Cadaveric specimens.

Objective

To perform a pathomorphological analysis of the degree of facet joint (FJ) degeneration utilizing fresh cadaveric models and correlating these structural changes with imaging findings.

Methods

L1-L5 FSU including all tissue between the anterior longitudinal ligament to the posterior spinal structures were obtained on 28 patients at a mean of 5.7 hours post-mortem. The samples were fixed in an agar medium and CT and MRI were performed. The level of FJ degeneration was identified based on prior classifications Osteoarthritis Research Society International (OARSI), as was the facet angle and tropism. Pathomorphological assessment including articular cartilage cell density was performed according to prior established methodology.

Results

Radiographically, a direct association was identified between FJ degeneration and patient age. Facet angle and tropism did not significantly vary by patient age. Pathomorphologically, there was a decrease in the cellular density of articular cartilage with increasing patient age. Similarly, there was a significant direct correlation between radiographic degree of degenerative changes in FJs with the age of cadavers and the degree of degeneration of FJs according to the morphological classification of OARSI, as well as a significant inverse correlation with cell density.

Conclusion

A comprehensive assessment of various signs of FJ degeneration using cadaveric material has established that, based on radiographic imaging, it is possible to assess the microstructural state of FJ, including at an early stage of the disease. This data may be useful for surgeons in guiding therapeutic strategies based on individual biometric parameters of the FJ.
A Slow Downward Road: Occupational Status Attainment in Mexico’s Development
Authors: Toro Harold J.
Published: May 2022

Mexico underwent several economic transformations between the 1950s and the early 21st century, most notably its integration to the world economy as of the 1980s. Sociological perspectives on global economic integration, development, and inequality, have contrasting predictions for the effect of these transformations on labor cohort occupational status. Perspectives that anticipate integration to spawn economic dynamism, predict improved occupational status over cohorts, but the international division of labor (IDL) perspective predicts worsening occupational status attainment. The institutionalist perspective does not have clear-cut predictions. Drawing on three surveys on Mexican social mobility (2006 and 2011, 2016), I examine labor cohort differences in occupational status to evaluate whether historical timing of entry into the workforce shapes occupational achievement dynamics throughout Mexico’s industrialization. I find significant direct effects of labor cohort membership on occupational status net of education and of parental occupational status. Specifically, entering the workforce at the height of Mexico’s industrialization, between the 1950s and early 1970s, led to higher status than entering during the transition to and subsequent institutionalization of neoliberal policy. The findings are most consistent with perspectives in sociology that emphasize the centrality for stratification of the international division of labor, but provide partial support for institutionalist perspectives.
Making Space: Racialized Organizations and Student of Color Groups at U.S. Colleges and Universities
Authors: Schachle Jessica L. , Coley Jonathan S.
Published: May 2022

A growing body of scholarship demonstrates the positive role that Asian, Black, Latinx, and Native American student groups play in the lives of students of color. Yet, we currently know little about the prevalence of student of color organizations and the characteristics of colleges and universities that are home to one or more student of color organizations. Analyzing our original database of officially recognized student of color organizations across 1,910 four-year, not-for-profit U.S. colleges and universities, we find that although a slight majority of U.S. colleges and universities are home to Black student groups, most U.S. colleges and universities lack Asian, Latinx, and Native American student groups. Drawing on recent insights from racialized organization theory, and employing logistic and Poisson regression, we also show that schools that have higher percentages of students of color, offer ethnic studies majors, and maintain centers devoted to issues of racial diversity, equity, and inclusion exhibit higher odds of having at least one student of color organization. A similar set of factors is associated with the overall number of students of color organizations at any given school. Our study advances scholarship on student of color mobilization within higher education and sheds light on issues of unequal access to student organizations more generally.
Unveiling spatial patterns of disaster impacts and recovery using credit card transaction fluctuations
Authors: Yuan Faxi , Esmalian Amir , Oztekin Bora , Mostafavi Ali
Published: May 2022

The objective of this study is to examine spatial patterns of disaster impacts and recovery of communities based on fluctuations in credit card transactions (CCTs). Such fluctuations could capture the collective effects of household impacts, disrupted accesses, and business closures and thus provide an integrative measure for examining disaster impacts and community recovery. Existing studies depend mainly on survey and sociodemographic data for disaster impacts and recovery effort evaluations, although such data has limitations, including large data collection efforts and delayed timeliness results. Also, there are very few studies have concentrated on spatial patterns of disaster impacts and short-term recovery of communities, although such investigation can enhance situational awareness during disasters and support the identification of disparate spatial patterns of disaster impacts and recovery in the impacted regions. This study examines CCTs data Harris County (Texas, USA) during Hurricane Harvey in 2017 to explore spatial patterns of disaster impacts and recovery duration from the perspective of community residents and businesses at ZIP-code and county scales, respectively, and to further investigate their spatial disparities across ZIP codes. The results indicate that individuals in ZIP codes with populations of higher income experienced more severe disaster impact and recovered more quickly than those located in lower income ZIP codes for most business sectors. Our findings not only enhance the understanding of spatial patterns and disparities in disaster impacts and recovery for better community resilience assessment but also could benefit emergency managers, city planners, and public officials in enhanced situational awareness and resource allocation.
Metformin for treatment of cytopenias in children and young adults with Fanconi anemia
Authors: Pollard Jessica A. , Furutani Elissa , Liu Shanshan , Esrick Erica , Cohen Laurie E. , Bledsoe Jacob , Liu Chih-Wei , Lu Kun , de Haro Maria Jose Ramirez , Surrallés Jordi , Malsch Maggie , Kuniholm Ashley , Galvin Ashley , Armant Myriam , Kim Annette S. , Ballotti Kaitlyn , Moreau Lisa , Zhou Yu , Babushok Daria , Boulad Farid , Carroll Clint , Hartung Helge , Hont Amy , Nakano Taizo , Olson Tim , Sze Sei-Gyung , Thompson Alexis A. , Wlodarski Marcin W. , Gu Xuesong , Libermann Towia A. , D’Andrea Alan , Grompe Markus , Weller Edie , Shimamura Akiko
Published: May 2022

Fanconi anemia (FA), a genetic DNA repair disorder characterized by marrow failure and cancer susceptibility. In FA mice, metformin improves blood counts and delays tumor development. We conducted a single institution study of metformin in nondiabetic patients with FA to determine feasibility and tolerability of metformin treatment and to assess for improvement in blood counts. Fourteen of 15 patients with at least 1 cytopenia (hemoglobin < 10 g/dL; platelet count < 100 000 cells/µL; or an absolute neutrophil count < 1000 cells/µL) were eligible to receive metformin for 6 months. Median patient age was 9.4 years (range 6.0-26.5 ). Thirteen of 14 subjects (93%) tolerated maximal dosing for age; 1 subject had dose reduction for grade 2 gastrointestinal symptoms. No subjects developed hypoglycemia or metabolic acidosis. No subjects had dose interruptions caused by toxicity, and no grade 3 or higher adverse events attributed to metformin were observed. Hematologic response based on modified Myelodysplastic Syndrome International Working Group criteria was observed in 4 of 13 evaluable patients (30.8%; 90% confidence interval, 11.3-57.3). Median time to response was 84.5 days (range 71-128 days). Responses were noted in neutrophils (n = 3), platelets (n = 1), and red blood cells (n = 1). No subjects met criteria for disease progression or relapse during treatment. Correlative studies explored potential mechanisms of metformin activity in FA. Plasma proteomics showed reduction in inflammatory pathways with metformin. Metformin is safe and tolerable in nondiabetic patients with FA and may provide therapeutic benefit. This trial was registered at as #NCT03398824.
RETRACTED ARTICLE: Conductive Gels: Properties and Applications of Nanoelectronics
Authors: Trung Nguyen Dinh , Huy Dinh Tran Ngoc , Jade Catalan Opulencia Maria , Lafta Holya A. , Abed Azher M. , Bokov Dmitry Olegovich , Shomurodov Kahramon , Van Thuc Master Hoang , Thaeer Hammid Ali , Kianfar Ehsan
Published: May 2022

Conductive gels are a special class of soft materials. They harness the 3D micro/nanostructures of gels with the electrical and optical properties of semiconductors, producing excellent novel attributes, like the formation of an intricate network of conducting micro/nanostructures that facilitates the easy movement of charge carriers. Conductive gels encompass interesting properties, like adhesion, porosity, swelling, and good mechanical properties compared to those of bulk conducting polymers. The porous structure of the gels allows the easy diffusion of ions and molecules and the swelling nature provides an effective interface between molecular chains and solution phases, whereas good mechanical properties enable their practical applications. Due to these excellent assets, conductive gels are promising candidates for applications like energy conversion and storage, sensors, medical and biodevices, actuators, superhydrophobic coatings, etc. Conductive gels offer promising applications, e.g., as soft sensors, energy storage, and wearable electronics. Hydrogels with ionic species have some potential in this area. However, they suffer from dehydration due to evaporation when exposed to the air which limits their applications and lifespan. In addition to conductive polymers and organic charge transfer complexes, there is another class of organic matter called “conductive gels” that are used in the organic nanoelectronics industry. The main features of this family of organic materials include controllable photoluminescence, use in photon upconversion technology, and storage of optical energy and its conversion into electricity. Various parameters change the electronic and optical behaviors of these materials, which can be changed by controlling some of the structural and chemical parameters of conductive gels, their electronic and optical behaviors depending on the applications. If the conjugated molecules with π bonds come together spontaneously, in a relative order, to form non-covalent bonds, they form a gel-like structure that has photoluminescence properties. The reason for this is the possibility of excitation of highest occupied molecular orbital level electrons of these molecules due to the collision of landing photons and their transfer to the lowest unoccupied molecular orbital level. This property can be used in various nanoelectronic applications such as field-effect organic transistors, organic solar cells, and sensors to detect explosives. In this paper, the general introduction of conductive or conjugated gels with π bonds is discussed and some of the physical issues surrounding electron excitation due to incident radiation and the mobility of charge carriers, the position, and role of conductive gels in each of these applications are discussed.
Bringing machine learning to research on intellectual and developmental disabilities: taking inspiration from neurological diseases
Authors: Gupta Chirag , Chandrashekar Pramod , Jin Ting , He Chenfeng , Khullar Saniya , Chang Qiang , Wang Daifeng
Published: May 2022

Intellectual and Developmental Disabilities (IDDs), such as Down syndrome, Fragile X syndrome, Rett syndrome, and autism spectrum disorder, usually manifest at birth or early childhood. IDDs are characterized by significant impairment in intellectual and adaptive functioning, and both genetic and environmental factors underpin IDD biology. Molecular and genetic stratification of IDDs remain challenging mainly due to overlapping factors and comorbidity. Advances in high throughput sequencing, imaging, and tools to record behavioral data at scale have greatly enhanced our understanding of the molecular, cellular, structural, and environmental basis of some IDDs. Fueled by the “big data” revolution, artificial intelligence (AI) and machine learning (ML) technologies have brought a whole new paradigm shift in computational biology. Evidently, the ML-driven approach to clinical diagnoses has the potential to augment classical methods that use symptoms and external observations, hoping to push the personalized treatment plan forward. Therefore, integrative analyses and applications of ML technology have a direct bearing on discoveries in IDDs. The application of ML to IDDs can potentially improve screening and early diagnosis, advance our understanding of the complexity of comorbidity, and accelerate the identification of biomarkers for clinical research and drug development. For more than five decades, the IDDRC network has supported a nexus of investigators at centers across the USA, all striving to understand the interplay between various factors underlying IDDs. In this review, we introduced fast-increasing multi-modal data types, highlighted example studies that employed ML technologies to illuminate factors and biological mechanisms underlying IDDs, as well as recent advances in ML technologies and their applications to IDDs and other neurological diseases. We discussed various molecular, clinical, and environmental data collection modes, including genetic, imaging, phenotypical, and behavioral data types, along with multiple repositories that store and share such data. Furthermore, we outlined some fundamental concepts of machine learning algorithms and presented our opinion on specific gaps that will need to be filled to accomplish, for example, reliable implementation of ML-based diagnosis technology in IDD clinics. We anticipate that this review will guide researchers to formulate AI and ML-based approaches to investigate IDDs and related conditions.
Slope aspect affects the soil microbial communities in karst tiankeng negative landforms
Authors: Jiang Cong , Zhu Sufeng , Feng Jie , Shui Wei
Published: May 2022

Background

Karst tiankeng is a large-scale negative surface terrain, and slope aspects affect the soil conditions, vegetation and microbial flora in the tiankeng. However, the influence of the slope aspect on the soil microbial community in tiankeng has not been elucidated.

Methods

In this study, metagenomic sequencing technology was used to analyze the soil microbial community structure and functional potentials on the shady and sunny slopes of karst tiankeng.

Results

The Shannon–Wiener diversity of microbial communities on shady slope (SHS) was significantly higher than that on sunny slope (SUS). Although the composition of dominant phyla on shady slope (SHS) and sunny slope (SUS) was similar, there were significant differences in beta-diversity. The linear discriminate analysis (LDA) results showed that biomarkers mainly belongs to Actinobacteria, Chloroflexi and Proteobacteria. Functional pathways and CAZy (Carbohydrate-Active Enzymes) genes also had a remarkable response to slope aspect change. LEfSe results indicated several biomarker pathways in sunny slope involved in human disease. Moreover, the abundance of CAZy genes was higher in shady slope and had stronger ability in decomposing litter. The microbial communities were mainly correlation with the vegetation characteristics (species richness and coverage) and soil properties (SOC and pH).

Conclusions

These results indicate slope aspect has a pronounced influence on microbial community composition, structure and function at karst tiankeng. In the future, the conservation of karst tiankeng biodiversity should pay more attention to topographical factors.
Evidence of multiple genome duplication events in Mytilus evolution
Authors: Corrochano-Fraile Ana , Davie Andrew , Carboni Stefano , Bekaert Michaël
Published: May 2022

Background

Molluscs remain one significantly under-represented taxa amongst available genomic resources, despite being the second-largest animal phylum and the recent advances in genomes sequencing technologies and genome assembly techniques. With the present work, we want to contribute to the growing efforts by filling this gap, presenting a new high-quality reference genome forMytilus edulisand investigating the evolutionary history within the Mytilidae family, in relation to other species in the class Bivalvia.

Results

Here we present, for the first time, the discovery of multiple whole genome duplication events in the Mytilidae family and, more generally, in the class Bivalvia. In addition, the calculation of evolution rates for three species of the Mytilinae subfamily sheds new light onto the taxa evolution and highlights key orthologs of interest for the study ofMytilusspecies divergences.

Conclusions

The reference genome presented here will enable the correct identification of molecular markers for evolutionary, population genetics, and conservation studies. Mytilidae have the capability to become a model shellfish for climate change adaptation using genome-enabled systems biology and multi-disciplinary studies of interactions between abiotic stressors, pathogen attacks, and aquaculture practises.
Functional annotation of creeping bentgrass protein sequences based on convolutional neural network
Authors: Jiang Han-Yu , He Jun
Published: May 2022

Background

Creeping bentgrass (Agrostis soionifera) is a perennial grass of Gramineae, belonging to cold season turfgrass, but has poor disease resistance. Up to now, little is known about the induced systemic resistance (ISR) mechanism, especially the relevant functional proteins, which is important to disease resistance of turfgrass. Achieving more information of proteins of infected creeping bentgrass is helpful to understand the ISR mechanism.

Results

With BDO treatment, creeping bentgrass seedlings were grown, and the ISR response was induced by infecting Rhizoctonia solani. High-quality protein sequences of creeping bentgrass seedlings were obtained. Some of protein sequences were functionally annotated according to the database alignment while a large part of the obtained protein sequences was left non-annotated. To treat the non-annotated sequences, a prediction model based on convolutional neural network was established with the dataset from Uniport database in three domains to acquire good performance, especially the higher false positive control rate. With established model, the non-annotated protein sequences of creeping bentgrass were analyzed to annotate proteins relevant to disease-resistance response and signal transduction.

Conclusions

The prediction model based on convolutional neural network was successfully applied to select good candidates of the proteins with functions relevant to the ISR mechanism from the protein sequences which cannot be annotated by database alignment. The waste of sequence data can be avoided, and research time and labor will be saved in further research of protein of creeping bentgrass by molecular biology technology. It also provides reference for other sequence analysis of turfgrass disease-resistance research.
Inadequate reporting quality of registered genome editing trials: an observational study
Authors: Jurić Diana , Zlatin Michael , Marušić Ana
Published: May 2022

Background

To assess registration completeness and safety data of trials on human genome editing (HGE) reported in primary registries and published in journals, as HGE has safety and ethical problems, including the risk of undesirable and unpredictable outcomes. Registration transparency has not been evaluated for clinical trials using these novel and revolutionary techniques in human participants.

Methods

Observational study of trials involving engineered site-specific nucleases and long-term follow-up observations, identified from the WHO ICTRP HGE Registry in November 2020 and two comprehensive reviews published in the same year. Registration and adverse events (AEs) information were collected from public registries and matching publications. Published data were extracted in May 2021.

Results

Among 81 eligible trials, most were recruiting (51.9%) phase 1 trials (45.7%). Five trials were withdrawn. Most trials investigated CAR T cells therapies (45.7%) and used CRISPR/Cas9 (35.8%) ex vivo (88.9%). Among 12 trials with protocols both registered and published, eligibility criteria, sample size, and secondary outcome measures were consistently reported for less than a half. Three trials posted results in ClinicalTrials.gov, and one reported serious AEs.

Conclusions

Incomplete registration and published data give emphasis to the need to increase the transparency of HGE trials. Further improvements in registration requirements, including phase 1 trials, and a more controlled publication procedure, are needed to augment the implementation of this promising technology.
A tutorial on the case time series design for small-area analysis
Authors: Gasparrini Antonio
Published: May 2022

Background

The increased availability of data on health outcomes and risk factors collected at fine geographical resolution is one of the main reasons for the rising popularity of epidemiological analyses conducted at small-area level. However, this rich data setting poses important methodological issues related to modelling complexities and computational demands, as well as the linkage and harmonisation of data collected at different geographical levels.

Methods

This tutorial illustrated the extension of the case time series design, originally proposed for individual-level analyses on short-term associations with time-varying exposures, for applications using data aggregated over small geographical areas. The case time series design embeds the longitudinal structure of time series data within the self-matched framework of case-only methods, offering a flexible and highly adaptable analytical tool. The methodology is well suited for modelling complex temporal relationships, and it provides an efficient computational scheme for large datasets including longitudinal measurements collected at a fine geographical level.

Results

The application of the case time series for small-area analyses is demonstrated using a real-data case study to assess the mortality risks associated with high temperature in the summers of 2006 and 2013 in London, UK. The example makes use of information on individual deaths, temperature, and socio-economic characteristics collected at different geographical levels. The tutorial describes the various steps of the analysis, namely the definition of the case time series structure and the linkage of the data, as well as the estimation of the risk associations and the assessment of vulnerability differences. R code and data are made available to fully reproduce the results and the graphical descriptions.

Conclusions

The extension of the case time series for small-area analysis offers a valuable analytical tool that combines modelling flexibility and computational efficiency. The increasing availability of data collected at fine geographical scales provides opportunities for its application to address a wide range of epidemiological questions.
Evaluation of elevated liver values in primary care - a series of studies on the status quo of care in Germany with special reference to alcoholic liver disease
Authors: Wangler Julian , Jansky Michael
Published: May 2022

Background

In primary care, elevated liver values often appear as incidental findings. As well considering the presenting symptoms, key factors in effective diagnosis are which liver values to include as indicators and when to refer patients for further diagnostics. It is also important that there is coordinated collaboration between GPs and specialists. There has hitherto been a lack of reliable findings on the status quo regarding the evaluation of (abnormally) elevated liver values in primary care.

Methods

Between 2017 and 2021, four written explorative surveys of GPs and gastroenterological specialists were conducted in various German states, aimed at taking stock of the current status of GP-based diagnostics of (abnormally) elevated liver values. In addition, interviews were conducted with 14 GPs and gastroenterological specialists. This review article discusses the overall findings of the series of studies in a condensed manner at a higher level. The article aims to derive starting points for optimising the diagnosis of liver cirrhosis in primary care.

Results

There are various challenges and problems associated with the evaluation of elevated liver values. For example, GPs draw on very different laboratory parameters, which are combined in different clusters. When elevated liver values are found, a majority of GPs prefer a controlled wait-and-see period, but often make use of direct referrals to specialists due to diagnostic uncertainties. GPs report interface problems with gastroenterological specialists, which are associated, among other things, with the preliminary evaluation that has been made and the timing of referral. Both GPs and specialists consider the introduction of an evidence-based diagnostic algorithm to be an important starting point for improving early detection and better coordination between healthcare levels.

Conclusions

Efforts should be made to contribute to greater professionalisation and standardisation of primary care diagnostics and to better structure the interaction with gastroenterological specialists. These include a wider range of training formats, the development of a validated diagnostic pathway and the mandating of a liver function test as part of the check-up. The development of a GP-based guideline for managing elevated liver values also seems advisable.
Two-megahertz impedance index prediction equation for appendicular lean mass in Korean older people
Authors: Kim Hyeoijin , Song Keon-Hyoung , Ambegaonkar Jatin P. , Chung Sochung , Jeon Kwonchan , Jiang Fang Lin , Eom Jin Jong , Kim Chul-Hyun
Published: May 2022

Background

Whole-body bioelectrical impedance analysis (BIA) has been accepted as an indirect method to estimate appendicular lean mass (ALM) comparable to dual-energy X-ray absorptiometry (DXA). However, single or limited frequencies currently used for these estimates may over or under-estimate ALM. Accordingly, there is a need to measure the impedance parameter with appendicular lean-specific across multiple frequencies to more accurately estimate ALM. We aimed to validate muscle-specific frequency BIA equation for ALM using multifrequency BIA (MF-BIA) with DXA as the reference.

Methods

195 community-dwelling Korean older people (94 men and 101 women) aged 70 ~ 92y participated in this study. ALM was measured by DXA and bioimpedance measures at frequencies of 5 kHz ~ 3 MHz were assessed for independent predictive variables. Regression analyses were used to find limb-specific frequencies of bioimpedance, to develop the ALM equations and to conduct the internal cross-validation. The six published equations and the final equation of MF-BIA were externally cross-validated.

Results

195 participants completed the measurements of MF-BIA and DXA. Using bivariate regression analysis, the 2 MHz impedance index explained R2 = 91.5% of variability (P < 0.001) in ALM and predictive accuracy of standard error of estimate (SEE) was 1.0822 kg ALM (P < 0.001). Multiple stepwise regression analysis obtained in the development group had an adjusted R2 of 9.28% (P < 0.001) and a SEE of 0.97 kg ALM. The cross-validation group had no significant difference between the measured ALM and the predicted ALM (17.8 ± 3.9 kg vs. 17.7 ± 3.8 kg, P = .486) with 93.1% of R2 (P < 0.001) and 1.00 kg ALM of total error. The final regression equation was as follows: ALM = 0.247ZI@2 MHz + 1.254SEXM1F0 + 0.067Xc@5 kHz + 1.739 with 93% of R2 (P < 0.001), 0.97 kg ALM of SEE (Subjective Rating as “excellent” for men and “very good” for women). In the analysis of the diagnostic level for sarcopenia of the final regression, the overall agreement was 94.9% (k = 0.779, P < 0.001) with 71.4% of sensitivity, 98.8% of specificity, 91.3 of positive prediction value and 95.3% of negative prediction value.

Conclusion

The newly developed appendicular lean-specific high-frequency BIA prediction equation has a high predictive accuracy, sensitivity, specificity, and agreement for both individual and group measurements. Thus, the high-frequency BIA prediction equation is suitable not only for epidemiological studies, but also for the diagnosis of sarcopenia in clinical settings.
How to implement geriatric co-management in your hospital? Insights from the G-COACH feasibility study
Authors: Van Grootven Bastiaan , Jeuris Anthony , Jonckers Maren , Devriendt Els , Dierckx de Casterlé Bernadette , Dubois Christophe , Fagard Katleen , Herregods Marie-Christine , Hornikx Miek , Meuris Bart , Rex Steffen , Tournoy Jos , Milisen Koen , Flamaing Johan , Deschodt Mieke
Published: May 2022

Background

Geriatric co-management is advocated to manage frail patients in the hospital, but there is no guidance on how to implement such programmes in practice. This paper reports our experiences with implementing the ‘Geriatric CO-mAnagement for Cardiology patients in the Hospital’ (G-COACH) programme. We investigated if G-COACH was feasible to perform after the initial adoption, investigated how well the implementation strategy was able to achieve the implementation targets, determined how patients experienced receiving G-COACH, and determined how healthcare professionals experienced the implementation of G-COACH.

Methods

A feasibility study of the G-COACH programme was performed using a one-group experimental study design. G-COACH was previously implemented on two cardiac care units. Patients and healthcare professionals participating in the G-COACH programme were recruited for this evaluation. The feasibility of the programme was investigated by observing the reach, fidelity and dose using registrations in the electronic patient record and by interviewing patients. The success of the implementation reaching its targets was evaluated using a survey that was completed by 48 healthcare professionals. The experiences of 111 patients were recorded during structured survey interviews. The experiences of healthcare professionals with the implementation process was recorded during 6 semi-structured interviews and 4 focus groups discussions (n = 27).

Results

The programme reached 91% in a sample of 151 patients with a mean age of 84 years. There was a high fidelity for the major components of the programme: documentation of geriatric risks (98%), co-management by specialist geriatrics nurse (95%), early rehabilitation (80%), and early discharge planning (74%), except for co-management by the geriatrician (32%). Both patients and healthcare professionals rated G-COACH as acceptable (95 and 94%) and feasible (96 and 74%). The healthcare professionals experienced staffing, competing roles and tasks of the geriatrics nurse and leadership support as important determinants for implementation.

Conclusions

The implementation strategy resulted in the successful initiation of the G-COACH programme. G-COACH was perceived as acceptable and feasible. Fidelity was influenced by context factors. Further investigation of the sustainability of the programme is needed.

Trial registration

ISRCTN22096382 (21/05/2020).