bluuebunny/crossref_metadata_2025 huggingface dataset:
GC‐MS metabolomics identifies novel biomarkers to distinguish tuberculosis pleural effusion from malignant pleural effusion
Authors: Liu Yongxia , Mei Bin , Chen Deying , Cai Long
Published: February 2021

Background

Tuberculous pleural effusions (TBPEs) and malignant pleural effusions (MPEs) are two of the most common and severe forms of exudative effusions. Clinical differentiation is challenging; however, metabolomics is a collection of powerful tools currently being used to screen for disease‐specific biomarkers.

Methods

17 TBPE and 17 MPE patients were enrolled according to the inclusion criteria. The normalization gas chromatography‐mass spectrometry (GC‐MS) data were imported into the SIMCA‐P + 14.1 software for multivariate analysis. The principal component analysis (PCA) and orthogonal partial least‐squares discriminant analysis (OPLS‐DA) were used to analyze the data, and the top 50 metabolites of variable importance projection (VIP) were obtained. Metabolites were qualitatively analyzed using the National Institute of Standards and Technology (NIST) databases. Pathway analysis was performed by MetaboAnalyst 4.0. The detection of biochemical indexes such as urea and free fatty acids in these pleural effusions was also verified, and significant differences were found between these two groups.

Results

1319 metabolites were screened by non‐targeted metabonomics of GC‐MS. 9 small molecules (urea, L‐5‐oxoproline, L‐valine, DL‐ornithine, glycine, L‐cystine, citric acid, stearic acid, and oleamide) were found to be significantly different (p < 0.05 for all). In OPLS‐DA, 9 variables were considered significant for biological interpretation (VIP≥1). However, after the ROC curve was performed, it was found that the metabolites with better diagnostic value were stearic acid, L‐cystine, citric acid, free fatty acid, and creatinine (AUC > 0.8), with good sensitivity and specificity.

Conclusion

Stearic acid, L‐cystine, and citric acid may be potential biomarkers, which can be used to distinguish between the TBPE and the MPE.
Obesity and Critical Illness in COVID‐19: Respiratory Pathophysiology
Authors: Wolf Molly , Alladina Jehan , Navarrete-Welton Allison , Shoults Benjamin , Brait Kelsey , Ziehr David , Malhotra Atul , Hardin C. Corey , Hibbert Kathryn A.
Published: February 2021

Objective

Recent cohort studies have identified obesity as a risk factor for poor outcomes in coronavirus disease 2019 (COVID‐19). To further explore the relationship between obesity and critical illness in COVID‐19, the association of BMI with baseline demographic and intensive care unit (ICU) parameters, laboratory values, and outcomes in a critically ill patient cohort was examined.

Methods

In this retrospective study, the first 277 consecutive patients admitted to Massachusetts General Hospital ICUs with laboratory‐confirmed COVID‐19 were examined. BMI class, initial ICU laboratory values, physiologic characteristics including gas exchange and ventilatory mechanics, and ICU interventions as clinically available were measured. Mortality, length of ICU admission, and duration of mechanical ventilation were also measured.

Results

There was no difference found in respiratory system compliance or oxygenation between patients with and without obesity. Patients without obesity had higher initial ferritin and D‐dimer levels than patients with obesity. Standard acute respiratory distress syndrome management, including prone ventilation, was equally distributed between BMI groups. There was no difference found in outcomes between BMI groups, including 30‐ and 60‐day mortality and duration of mechanical ventilation.

Conclusions

In this cohort of critically ill patients with COVID‐19, obesity was not associated with meaningful differences in respiratory physiology, inflammatory profile, or clinical outcomes.
KRAS-Mutated, Estrogen Receptor-Positive Low-Grade Serous Ovarian Cancer: Unraveling an Exceptional Response Mystery
Authors: Kato Shumei , McFall Thomas , Takahashi Kenta , Bamel Kasey , Ikeda Sadakatsu , Eskander Ramez N. , Plaxe Steven , Parker Barbara , Stites Edward , Kurzrock Razelle
Published: February 2021

We report on a woman with aggressive estrogen receptor-positive, KRAS-mutated ovarian cancer who achieved a remarkable response to combination therapy with the MEK inhibitor (trametinib) and the aromatase inhibitor (letrozole), even though the disease had failed to respond to a combination of a PI3K inhibitor and different MEK inhibitor, as well as to trametinib and the estrogen modulator, tamoxifen, and to letrozole by itself. The mechanism of action for exceptional response was elucidated by in vitro experiments that demonstrated that the fact that tamoxifen can have an agonistic effect in addition to antagonist activity, whereas letrozole results only in estrogen depletion was crucial to the response achieved when letrozole was combined with an MEK inhibitor. Our current observations indicate that subtle variations in mechanisms of action of outwardly similar regimens may have a major impact on outcome and that such translational knowledge is critical for optimizing a precision medicine strategy.

Key Points

This report describes the remarkable response of a patient with KRAS-mutated, estrogen receptor-positive low-grade serous ovarian cancer treated with trametinib (MEK inhibitor) and letrozole (aromatase inhibitor), despite prior progression on similar agents including tamoxifen (estrogen modulator). In vitro investigation revealed that tamoxifen can have agonistic in addition to antagonistic effects, which could be the reason for the patient not responding to the combination of trametinib and tamoxifen. The current observations suggest that drugs with different mechanisms of action targeting the same receptor may have markedly different anticancer activity when used in combinations.
Global Precision Oncology: A Call to Action on Expanding Access to Targeted Cancer Therapies
Authors: Bharadwaj Maheetha , Vallurupalli Mounica , Huang Franklin W.
Published: February 2021

At the health systems level, lack of diagnostic ability, inadequate access to trained providers, and limited drug availability provide significant barriers to cancer care delivery. This article outlines an urgent call to action to improve access to precision oncology therapies in lower- and middle-income countries, drawing upon lessons from international efforts in oncology and infectious disease.
Preoperative Predictors of Futile Resection of Intraabdominal Extrahepatic Metastases from Hepatocellular Carcinoma
Authors: Le Linn Yun , Guo Yuxin , Koh Ye‐Xin , Chow Pierce K. H. , Chan Chung‐Yip , Chung Alexander Y. F. , Ooi London L. P. J. , Goh Brian K. P.
Published: January 2021

Background

The management of post‐liver resection recurrence is often the life‐limiting factor in HCC treatment. While much has been published on intrahepatic recurrence and lung metastasis, there is a relative lack of data on intraabdominal extrahepatic metastasis (EHM). We sought to evaluate the outcomes of patients post‐resection of intraabdominal EHM and assess preoperative factors predictive of early recurrence post‐metastasectomy.

Methods

We performed a retrospective review of 25 consecutive patients who underwent metastasectomy for intraabdominal EHM from 2003 to 2016 at our institution.

Results

Of the 25 cases of EHM, 16 were in the peritoneum, 3 in the adrenal glands, 3 in the large bowel, 1 in the spleen, 1 in the pancreas and 1 in the omentum. Median overall survival was 27 months (IQR 15–89 months). Twenty‐one patients (84%) developed recurrence post‐metastasectomy of EHM of which 12 patients experienced early recurrence within 12 months. The median time to recurrence post‐metastasectomy was 11(IQR 15.5) months. Multivariate analysis demonstrated both hepatitis B (11 (91.6%) versus 4 (44.4%), p = 0.00) status and high tumour grade (8 (66.6%) versus 3 (25%), p = 0.004) to be significant independent predictors of early recurrence. Patients who experienced early recurrence had a significantly shorter median overall survival (18 months (95% CI 12.9–23.0)) compared to those who did not (89 months (95% CI 24.8–153.1), p = 0.004).

Conclusion

Patients with EHM who underwent metastasectomy had a median overall survival of 27 months. Hepatitis B positivity and high primary tumour grade were preoperative predictors of futile surgery. All 7 patients who had both hepatitis B and high tumour grade experienced early recurrence post‐metastasectomy.
Expert Consensus of Data Elements for Collection for Enhanced Recovery After Cardiac Surgery
Authors: Hirji Sameer A. , Salenger Rawn , Boyle Edward M. , Williams Judson , Reddy V. Seenu , Grant Michael C. , Chatterjee Subhasis , Gregory Alexander J. , Arora Rakesh , Engelman Daniel T.
Published: January 2021

Background

Despite the emergence of Enhanced Recovery Protocols (ERPs) in cardiac surgery, there is no consensus on the essential elements for data reporting for quality improvement efforts, as well as accountability and standardization of outcome reporting across institutions. The aim of this study was to establish a consensus on essential data elements for cardiac ERAS®.

Methods

A 2‐round modified Delphi technique was utilized based on existing recommendations from the recently published ERAS® cardiac surgery consensus guidelines. Round 1 included a steering committee of 10 experts who oversaw formulation of a focused list of data elements into 3 main areas: Preoperative, intraoperative and postoperative. Round 2 consisted of a multidisciplinary, multinational, heterogenous group of 50 voting experts from across the United States and Europe. All participants evaluated their level of agreement with each data element using a 5‐point Likert scale with consensus threshold of 70%.

Results

In round 1, 17 data elements were considered essential (consensus >  = 70%, either positive or negative) and 6 were considered marginal (consensus <  = 70%, either positive or negative). In round 2, positive consensus was achieved for 15/17 (88.2%) data elements in the essential category, and all six data elements (100%) in the marginal category, indicating a high level of overall agreement.

Conclusion

This initial study, which identified 21 key data elements for collection in an ERAS® cardiac program, will aid clinicians in establishing a framework for evaluating the quality of their contemporary ERP processes and will allow acquisition of data to help benchmark performance metrics between hospitals.
Improving long-term health outcomes of preterm infants: how to implement the findings of nutritional intervention studies into daily clinical practice
Authors: Ruys Charlotte A. , van de Lagemaat Monique , Rotteveel Joost , Finken Martijn J. J. , Lafeber Harrie N.
Published: January 2021

Preterm-born children are at risk for later neurodevelopmental problems and cardiometabolic diseases; early-life growth restriction and suboptimal neonatal nutrition have been recognized as risk factors. Prevention of these long-term sequelae has been the focus of intervention studies. High supplies of protein and energy during the first weeks of life (i.e., energy > 100 kcal kg−1 day−1 and a protein-to-energy ratio > 3 g/100 kcal) were found to improve both early growth and later neurodevelopmental outcome. Discontinuation of this high-energy diet is advised beyond 32–34 weeks postconceptional age to prevent excess fat mass and possible later cardiometabolic diseases. After discharge, nutrition with a higher protein-to-energy ratio (i.e., > 2.5–3.0 g/100 kcal) may improve growth and body composition in the short term.

Conclusion: Preterm infants in their first weeks of life require a high-protein high-energy diet, starting shortly after birth. Subsequent adjustments in nutritional composition, aimed at achieving optimal body composition and minimizing the long-term cardiometabolic risks without jeopardizing the developing brain, should be guided by the growth pattern. The long-term impact of this strategy needs to be studied.

What is Known:• Preterm infants are at risk for nutritional deficiencies and extrauterine growth restriction.• Extrauterine growth restriction and suboptimal nutrition are risk factors for neurodevelopmental problems and cardiometabolic disease in later life.

What is New:• Postnatally, a shorter duration of high-energy nutrition may prevent excess fat mass accretion and its associated cardiometabolic risks and an early switch to a protein-enriched diet should be considered from 32-34 weeks postconceptional age.• In case of formula feeding, re-evaluate the need for the continuation of a protein-enriched diet, based on the infant’s growth pattern.
Systemic therapy for recurrent and/or metastatic head and neck cancer: a population-based healthcare research study in Thuringia, Germany
Authors: Morkramer Lisa , Geitner Maren , Boeger Daniel , Buentzel Jens , Kaftan Holger , Mueller Andreas H. , Ernst Thomas , Guntinas-Lichius Orlando
Published: January 2021

Purpose

Systemic therapy choice for patients with recurrent and/or metastatic head and neck cancer (R/M HNC) is a challenge. Not much is known about systemic therapies used in daily clinical routine and their outcome.

Methods

Data of all 283 patients with R/M HNC (89.4% male, median age: 60 years) registered for first-line systemic therapy between 2015 and 2018 in the cancer registries of Thuringia, a federal state in Germany, were included. Patient characteristics and treatment patterns were summarized. Exploratory univariate and multivariate analyses were conducted on select of systemic therapy and prognostic factors for overall survival.

Results

The most frequent first-line regimens were platinum-based combinations (71.4%), mainly cetuximab + platinum + 5-fluorouracil (32.5%). 32.5, 13.1, 4.9, and 1.1%, respectively, received, a second, third, fourth, and fifth line of systemic therapy. Median follow-up was 5.5 months. Median real-world overall survival was 16.8 months [95% confidence interval (CI) 11.1–22.6]. Alcohol drinking [hazard ratio (HR) 2.375, CI 1.471–3.831; p < 0.001], no second-line therapy (HR 3.425, CI 2.082–5.635, p < 0.001), and application of three agents compared to one agent in first-line therapy (HR 2.798, CI 1.374–5.697; p = 0.005) were associated to decreased overall survival after start of first-line systemic therapy. Termination of second-line treatment because of deterioration of the general condition was the only independent negative prognostic factor (HR 4.202, CI 1.091–16.129; p = 0.037) after start of second-line systemic therapy.

Conclusions

This study offers useful information, mainly prior to the availability of immunotherapy, on patient characteristics, treatment patterns, and survival in a German real-world population.
Site‐specific nitrogen balances based on spatially variable soil and plant properties
Authors: Mittermayer Martin , Gilg August , Maidl Franz-Xaver , Nätscher Ludwig , Hülsbergen Kurt-Jürgen
Published: February 2021

In this study, site-specific N balances were calculated for a 13.1 ha heterogeneous field. Yields and N uptake as input data for N balances were determined with data from a combine harvester, reflectance measurements from satellites and tractor-mounted sensors. The correlations between the measured grain yields and yields determined by digital methods were moderate. The calculated values for the N surpluses had a wide range within the field. Nitrogen surpluses were calculated from − 76.4 to 91.3 kg ha−1, with a mean of 24.0 kg ha−1. The use of different data sources and data collection methods had an impact on the results of N balancing. The results show the need for further optimization and improvement in the accuracy of digital methods. The factors influencing N uptake and N surplus were determined by analysing soil properties of georeferenced soil samples. Soil properties showed considerable spatial variation within the field. Soil organic carbon correlated very strongly with total nitrogen content (r = 0.97), moderately with N uptake (sensor, r = 0.60) and negatively with N surplus (satellite, r = − 0.46; sensor, r = − 0.56; harvester, r = − 0.60). Nitrate content was analysed in soil cores (0 to 9 m) taken in different yield zones, and compared with the calculated N surplus; there was a strong correlation between the measured nitrate content and calculated N surplus (r = 0.82). Site-specific N balancing can contribute to a more precise identification of the risk of nitrate losses and the development of targeted nitrate reduction strategies.
Development of screening questions for doctor–patient consultation assessing the quality of life and psychosocial burden of glioma patients: an explorative study
Authors: Voß Hannah , Scholz-Kreisel Peter , Richter Christoph , Ringel Florian , Singer Susanne , Renovanz Mirjam
Published: January 2021

Purpose

Psychosocial screening for glioma patients is challenging because many patients suffer from neurocognitive deficits, which may impair assessment. This study’s aim was to exploratively develop three screening questions for unmet needs to prospectively be applicable in patient–doctor consultation.

Methods

Patient interviews, a survey for health-care professionals and a weighted scoring procedure were developed for this study. Six main areas were defined according to main areas of validated questionnaires (psyche, cognition, body, role functioning, social support, unmet needs). Patients and health-care professionals rated the importance of these areas and corresponding items, patients additionally stated whether the issues addressed affected them.

Results

A total of 50 patients were included, and 36 health-care professionals participated in the online survey. The three areas (psyche, body and cognition) considered to be most relevant by both, health-care professionals and patients, generated three screening questions. If the patient was affected by the issue addressed with a screening question, a subordinate question from that area that our patient sample considered most important could additionally be asked. The elaborated screening questions are the following: (1) main area psyche: “Has your mood worsened?”, (2) main area body: “Do physical changes put a strain on you?”, and (3) main area cognition: “Has your memory capacity worsened?”

Conclusion

These questions represent a basis for further research regarding their application in neuro-oncological clinical routine.
Development of Thermal Spray Processes for Depositing Coatings on Thermoplastics
Authors: Bobzin Kirsten , Wietheger Wolfgang , Knoch Martin Andreas
Published: January 2021

Thermoplastics combine high freedom of design with economical mass production. Metallic coatings on thermoplastics enable power and signal transmission, shield sensitive parts inside of housings and can reduce the temperature in critical areas by functioning as a heat sink. The most used technical thermoplastics are polyamides (PA), while the described use cases are often realized using Cu. Consequently, several studies tried to apply copper coatings on PA substrates via thermal spraying; so far, this combination is only feasible using an interlayer. In this study, a new approach to metallize thermoplastics via thermal spraying based on validated state-of-the-art predictions of the thermoplastics’ material response at relevant temperatures and strain rates is presented. Using these predictions, high velocity wire-arc spraying was selected as coating process. Furthermore, the process parameters were adapted to realize a continuous coating while also roughening the substrate during coating deposition. The resulting Cu coating on PA6 had a sufficiently high coating adhesion for post-treatment by grinding. The adhesion is achieved by in situ roughening during the coating application. The results indicate that different process parameters for initial layer deposition and further coating buildup are required due to the low thermal stability of PA6.
Predictive and prognostic value of total tumor load in sentinel lymph nodes in breast cancer patients after neoadjuvant treatment using one-step nucleic acid amplification: the NEOVATTL study
Authors: Vieites B. , López-García M. Á. , Martín-Salvago M. D. , Ramirez-Tortosa C.L. , Rezola R. , Sancho M. , López-Vilaró L. , Villardell F. , Burgués O. , Fernández-Rodriguez B. , Alfaro L. , Peg V.
Published: January 2021

Objective

To evaluate the predictive and prognostic value of total tumor load (TTL) in sentinel lymph nodes (SLNs) in patients with infiltrating breast cancer after neoadjuvant systemic therapy (NST).

Methods

This retrospective multicenter study used data from a Spanish Sentinel Lymph Node database. Patients underwent intraoperative SLN biopsy after NST. TTL was determined from whole nodes using a one-step nucleic acid amplification (OSNA) assay and defined as the total sum of CK19 mRNA copies in all positive SLNs. Cox-regression models identified independent predictive variables, which were incorporated into a nomogram to predict axillary non-SLN metastasis, and identified prognostic variables for incorporation into a disease-free survival (DFS) prognostic score.

Results

A total of 314 patients were included; most had no lymph node involvement prior to NST (cN0; 75.0% of patients). Most received chemotherapy with or without biologic therapy (91.7%), and 81 patients had a pathologic complete response. TTL was predictive of non-SLN involvement (area under the concentration curve = 0.87), and at a cut-off of 15,000 copies/µL had a negative predictive value of 90.5%. Nomogram parameters included log (TTL + 1), maximum tumor diameter and study-defined NST response. TTL was prognostic of disease recurrence and DFS at a cut-off of 25,000 copies/µL. After a 5-year follow-up, DFS was higher in patients with ≤ 25,000 copies/µL than those with > 25,000 (89.9% vs. 70.0%; p = 0.0017).

Conclusions

TTL > 15,000 mRNA copies/µL was predictive of non-SLN involvement and TTL > 25,000 mRNA copies/µL was associated with a higher risk of disease recurrence in breast cancer patients who had received NST.
The Reception of Petrarch’s Africa in Fascist Italy
Authors: Agbamu Samuel Asad Abijuwa
Published: February 2021

In his 1877 Storia della letteratura (History of Literature), Luigi Settembrini wrote that Petrarch’s fourteenth-century poem, the Africa, ‘is forgotten …; very few have read it, and it was judged—I don’t know when and by whom—a paltry thing’. Yet, just four decades later, the early Renaissance poet’s epic of the Second Punic War, written in Latin hexameters, was being promoted as the national poem of Italy by eminent classical scholar, Nicola Festa, who published the only critical edition of the epic in 1926. This article uncovers the hitherto untold story of the revival of Petrarch’s poetic retelling of Scipio’s defeat of Hannibal in Fascist Italy, and its role in promoting ideas of nation and empire during the Fascist period in Italy. After briefly outlining the Africa’s increasing popularity in the nineteenth century, I consider some key publications that contributed to the revival of the poem under Fascism. I proceed chronologically to show how the Africa was shaped into a poem of the Italian nation, and later, after Italy’s invasion of Ethiopia, of Italy’s new Roman Empire. I suggest that the contestations over the significance of the Africa during the Fascist period, over whether it was a national poem of Roman revival or a poem of the universal ideal of empire, demonstrate more profound tensions in how Italian Fascism saw itself.
Elder abuse in Europe’s “most elderly” city: an update of the phenomenon based on the cases reported to the Penal Court of Genoa from 2015 to 2019 and literature review
Authors: Drommi Martina , Ponte Alessandra , Ventura Francesco , Molinelli Andrea
Published: January 2021

Background

Elder abuse is currently a worldwide problem. The literature reports that one elderly person out of six is a potential victim.

Aims

To analyse cases reported to the judicial authorities in the territory of Genoa in the period 2010–2019, to investigate the features of elder abuse, to assess the trend of this phenomenon and to propose preventive strategies.

Methods

We analysed the data on reports of abuse passed by the Court of Genoa in the period 2015–2019 concerning physical and mental maltreatment, abandonment and financial exploitation of elderly subjects. These data were compared with those recorded in the previous 5-year period and in the literature.

Results

In the period 2015–2019, 156 cases of elder abuse were identified (versus 63 in the previous period): 18 cases of domestic violence, 5 cases of abuse of the means of correction, 18 cases of caregiver neglect, 76 cases of physical injury and 39 cases of financial exploitation.

Discussion

Abuse was seen to be perpetrated most frequently in the domestic setting and by the victims' relatives. The main risk factors were female gender and the victim’s dependence on others, the maltreating subject’s mental illness and substance abuse.

Conclusions

We documented a progressive increase in the number of abuses reported to the judicial authority; this reflects greater awareness of the problem. However, our figures remained well below the incidence estimated in the literature. It is necessary to train healthcare personnel to identify and manage cases of suspected abuse, and to provide adequate support in situations at risk.
A distributed geospatial approach to describe community characteristics for multisite studies
Authors: Ryan Patrick H. , Brokamp Cole , Blossom Jeff , Lothrop Nathan , Miller Rachel L. , Beamer Paloma I. , Visness Cynthia M. , Zanobetti Antonella , Andrews Howard , Bacharier Leonard B. , Hartert Tina , Johnson Christine C. , Ownby Dennis , Lemanske Robert F. , Gibson Heike , Requia Weeberb , Coull Brent , Zoratti Edward M. , Wright Anne L. , Martinez Fernando D. , Seroogy Christine M. , Gern James E. , Gold Diane R.
Published: February 2021

Understanding place-based contributors to health requires geographically and culturally diverse study populations, but sharing location data is a significant challenge to multisite studies. Here, we describe a standardized and reproducible method to perform geospatial analyses for multisite studies. Using census tract-level information, we created software for geocoding and geospatial data linkage that was distributed to a consortium of birth cohorts located throughout the USA. Individual sites performed geospatial linkages and returned tract-level information for 8810 children to a central site for analyses. Our generalizable approach demonstrates the feasibility of geospatial analyses across study sites to promote collaborative translational research.
BACK ON CIRCE'S ISLAND
Authors: van Veldhuizen Michiel
Published: February 2021

The reception of Circe's island in and through Classical Antiquity has largely focused on the enigmatic sorceress herself. The long literary chain of interpretive topoi—Circe the witch, the whore, the temptress—stretches from Apollonius, Virgil, Ovid, and Dio Chrysostom to Spenser, Calderón, Joyce, Margaret Atwood, and Madeline Miller. Her role as Odysseus’ benefactor, so unmistakable in Homer, is soon forgotten; to Virgil, she is above all dea saeva, (‘the savage goddess’, Aen. 7.19). One distinguishing feature of Circe and her reception is the focus on representation: the enchantment of Circe, as Greta Hawes puts it, is above all a study in allegory. From the moment Circe put a spell on Odysseus’ companions, transforming them into animals in Book 10 of the Odyssey, Circe has invited analogical reasoning, centered on what the transformation from one being into another represents. More often than not, this transformation is interpreted according to a dualist thinking about humans and animals: subjects are transformed from one being into another being, thus representing some moral or physical degradation. This article, by contrast, concentrates on Circe's island through the lens of becoming-animal, the concept developed by Gilles Deleuze and Félix Guattari in the tenth plateau of A Thousand Plateaus, ‘1730: Becoming-Intense, Becoming-Animal, Becoming-Imperceptible…’. I explicate the concept of becoming-animal by applying it to a Deleuzian encounter with Circe's island, both in its ancient articulations and in its various receptions, including H.G. Wells's science fiction novel The Island of Dr. Moreau.
ONE OR MANY MILITES? MILITARY MULTIPLICITY IN LATIN EPIC
Authors: Chidwick Hannah-Marie
Published: February 2021

Since Gilles Deleuze and Félix Guattari emerged into the realm of Continental philosophy in the late twentieth century, the pair have sustained a prominent and influential presence in the fields of cultural studies, politics and sociology, also literary, artistic and cinematic scholarship, spurred on by the appropriation of the arts in Deleuze and Guattari's own work. The contributions to this special edition bring to light how the rubble-strewn textual field of Classical antiquity also ineludibly invites a methodological framework informed by Deleuze and Guattari's philosophy. By its contemporary nature, the Classical ‘canon’ is a warzone of competing translations, fragments and fragmentary orders, de- and re-constructions, bearing a torrid resemblance to the flattened and interconnected plane of existence described in Deleuze and Guattari's work. The pair draw from multiple avenues of academic exploration and encourage the seed-like spread of their multifarious ideas. This article makes a case for employing one concept in particular as a practice for reading Classical texts: ‘multiplicity’.
Singing at Langemarck in the German Political Imaginary, 1914–1932
Authors: Painter Karen
Published: February 2021

This article reconstructs the history of the famous anecdote about the battle at Langemarck, where German youth allegedly sang “Deutschland, Deutschland über alles” as they hurled themselves against British soldiers, bayonet in hand. Variants, including in poetry and other creative genres, helped to shape a public discourse about bravery. I also reconstruct the discourse on music and war in music journals and daily newspapers, suggesting possible influences on the German High Command, where the anecdote originated. The musical establishment initially ignored this lore—so remote was music in the concert hall from community music-making, including on the battlefield. Yet the enormous weight given to propaganda efforts eventually led musicians to write about and respond compositionally to the Deutschlandlied. The article concludes by examining the conflicting political meanings of the Langemarck anecdote in the decades after World War I.
Macrornis tanaupus Seeley, 1866: an enigmatic giant bird from the upper Eocene of England
Authors: Buffetaut Eric , Angst Delphine
Published: February 2021

A large bone from the upper Eocene Totland Bay Formation of Hordle Cliff (Hampshire), originally described by Seeley (1866) as Macrornis tanaupus and interpreted by him as belonging to a ‘large Struthious bird’, is redescribed and illustrated for the first time. It is not a reptile bone, as previously suggested, but the proximal part of a left avian tibiotarsus. A mass estimate of 43 kg, comparable to that of an emu, suggests that it was flightless. A precise identification is difficult because of the incompleteness of the specimen, and Macrornis tanaupus should probably be considered as a nomen dubium. We exclude Seeley’s interpretation as a ratite, as well as previous attributions to gastornithids. We tentatively suggest that the specimen may belong to a phorusrhacid, which would extend the stratigraphic record of this group in Europe by a few million years. The presence of a large terrestrial bird in the upper Eocene of Europe may have a bearing on the interpretation of enigmatic footprints of very large birds from the upper Eocene Paris gypsum.
Ultrastructural analysis reveals high rate of bone remodeling in rat
molars moved with continuous orthodontic force
Authors: DfAndrea-Mateus N , Bonafe-Oliveira L , Arana-Chavez V E
Published: February 2021

Extended abstract of a paper presented at MC 2007, 33rd DGE Conference
in Saarbrücken, Germany, September 2 – September 7, 2007
First 1000 days: New Zealand Mothers’ perceptions of early life nutrition resources
Authors: Hildreth Jillian Rae , Vickers Mark H. , Wall Clare R. , Bay Jacquie L.
Published: February 2021

Research into associations between early life nutritional exposures and vulnerability to adult non-communicable disease (NCD) highlights the importance of maternal diet. A booklet outlining evidence-based dietary guidelines for the first 1000 days of life was first published in 2016 by early life nutrition experts for distribution to pregnant women in Australia and New Zealand. First-time New Zealand mothers’ (n=9) perceptions of the booklet and its relevance for the future health of their child were explored via semi-structured focus groups and interviews. Recruitment took place via social media channels and antenatal classes around Auckland. Three major themes were identified using thematic analysis: 1. A difference in the ways mothers related to the booklet depending on their apparent level of health literacy and communication preferences; 2. A tendency for women to outsource decision-making to nutrition ‘rules’, rather than interpreting information to suit personal circumstances; 3. Intense pressure to comply, resulting in feelings of shame or guilt when the ‘rules’ were not followed. In this study, first-time mums expressed feeling under pressure to ‘get it right’ and identified a desire for more support from healthcare providers and society. Nutrition education is essential; however, a booklet should provide a starting point for conversation rather than a stand-alone list of recommendations. Further exploration is needed to develop a resource that can be used by health professionals working alongside women and their partners to support healthy child development.
Role Salience and the Growth Intention of Women Entrepreneurs: Does Work-life Balance Make a Difference?
Authors: Neneh Brownhilder Ngek
Published: February 2021

Work and family are two of the most competing and salient roles in the life of every individual. As such, individuals often make behavioral decisions based on the relative salience (work or family) they attach to these life roles. Given that growth intention is a vital behavioral choice in the life of an entrepreneur, this study examined how role salience influences the growth intentions of women entrepreneurs. Moreover, for most women entrepreneurs, their family domain is highly entwined with the business domain, and as such, having an adequate work-life balance is often a vital personal goal. Thus, this study also examined the influence of work-life balance on the growth intentions of the women entrepreneurs as well as its moderating effect of on the relationship between role salience and growth intentions. Based on self-reported data from women entrepreneurs (N= 300), the findings of this study using logistic regression analysis revealed that both work role salience (b= .88,p< .001) and work-life balance (b= .73,p< .001) have a positive effect on the growth intentions of women entrepreneurs. Additionally, work-life balance also moderated the relationship between work role salience and growth intention such that the positive association is strengthened at high levels of work-life balance (b= .90,p< .001). The study culminates with a discussion of the implications and suggestions for future research.
Greenhouse Gas and Ice Volume Drive Pleistocene Indian Summer Monsoon Precipitation Isotope Variability
Authors: McGrath Sarah M. , Clemens Steven C. , Huang Yongsong , Yamamoto Masanobu
Published: February 2021

Orbital‐scale Indian Summer Monsoon variability is often interpreted as a direct response to northern hemisphere summer insolation. Here we present a continuous (0–640 kyr) orbital scale precipitation isotope (δDprecip) record using leaf wax δD from the core monsoon zone of India. The δDprecip record is quantitatively coherent with, and δDprecip minima in phase with, greenhouses gas maxima, and ice volume minima across all orbital bands. The δDprecip record is also coherent and in phase with the two existing orbital‐scale Indian speleothem δ18O records, demonstrating a consistent regional response among independent proxies. These findings preclude interpretation of Indian precipitation isotope records as a direct response to northern hemisphere summer insolation. Rather, they dominantly reflect changes in moisture source and transport paths associated with changes in greenhouse gases and ice volume. The orbital‐scale precipitation isotope responses of the Indian and East Asian monsoon systems are uncoupled and are driven by different forcings.
The Role of Midsized Phytoplankton in Earth’s Biological Pump
Authors: Wheeling Kate
Published: February 2021

New research finds that nanoplankton may have a larger influence on carbon cycling than previously thought.
Optical whispering-gallery mode barcodes for high-precision and wide-range temperature measurements
Authors: Liao Jie , Yang Lan
Published: February 2021

Temperature is one of the most fundamental physical properties to characterize various physical, chemical, and biological processes. Even a slight change in temperature could have an impact on the status or dynamics of a system. Thus, there is a great need for high-precision and large-dynamic-range temperature measurements. Conventional temperature sensors encounter difficulties in high-precision thermal sensing on the submicron scale. Recently, optical whispering-gallery mode (WGM) sensors have shown promise for many sensing applications, such as thermal sensing, magnetic detection, and biosensing. However, despite their superior sensitivity, the conventional sensing method for WGM resonators relies on tracking the changes in a single mode, which limits the dynamic range constrained by the laser source that has to be fine-tuned in a timely manner to follow the selected mode during the measurement. Moreover, we cannot derive the actual temperature from the spectrum directly but rather derive a relative temperature change. Here, we demonstrate an optical WGM barcode technique involving simultaneous monitoring of the patterns of multiple modes that can provide a direct temperature readout from the spectrum. The measurement relies on the patterns of multiple modes in the WGM spectrum instead of the changes of a particular mode. It can provide us with more information than the single-mode spectrum, such as the precise measurement of actual temperatures. Leveraging the high sensitivity of WGMs and eliminating the need to monitor particular modes, this work lays the foundation for developing a high-performance temperature sensor with not only superior sensitivity but also a broad dynamic range.
Integrity of the uncinate fasciculus is associated with the onset of bipolar disorder: a 6-year followed-up study
Authors: Li Xiaoyue , Lu Weicong , Zhang Ruoxi , Zou Wenjin , Gao Yanling , Chen Kun , Yau Suk-Yu , Shao Robin , McIntyre Roger S. , Xu Guiyun , So Kwok-Fai , Lin Kangguang
Published: February 2021

Patients with Bipolar Disorder (BD) are associated with aberrant uncinate fasciculus (UF) that connects amygdala-ventral prefrontal cortex (vPFC) system, but the casual relationship is still uncertain. The research aimed to investigate the integrity of UF among offspring of patients with BD and investigate its potential causal association with subsequent declaration of BD. The fractional anisotropy (FA) and mean diffusivity (MD) of UF were compared in asymptomatic offspring (AO, n = 46) and symptomatic offspring (SO, n = 45) with a parent with BD, and age-matched healthy controls (HCs, n = 35). Logistic regressions were performed to assess the predictive effect of UF integrity on the onset of BD. The three groups did not differ at baseline in terms of FA and MD of the UF. Nine out of 45 SO developed BD over a follow-up period of 6 years, and the right UF FA predicted the onset of BD (p = 0.038, OR = 0.212, 95% CI = 0.049–0.917). The ROC curve revealed that the right UF FA predicted BD onset (area-under-curve = 0.859) with sensitivity of 88.9% and specificity of 77.3%. The complementary whole-brain tract-based spatial statistics (TBSS) showed that widespread increases of FA were found in the SO group compared with HCs, but were not associated with the onset of BD. Our data provide evidence supporting the causal relationship between the white matter structural integrity of the amygdala-vPFC system and the onset of BD in genetically at-risk offspring of BD patients.
Neonatal cortical astrocytes possess intrinsic potential in neuronal conversion in defined media
Authors: Zeng Peng , Hua Qiu-hong , Gong Jun-yuan , Shi Chang-jie , Pi Xiao-ping , Xie Xin , Zhang Ru
Published: February 2021

Astrocytes are multifunctional brain cells responsible for maintaining the health and function of the central nervous system. Accumulating evidence suggests that astrocytes might be complementary source across different brain regions to supply new neurons during adult neurogenesis. In this study, we found that neonatal mouse cortical astrocytes can be directly converted into neurons when exposed to neurogenic differentiation culture conditions, with insulin being the most critical component. Detailed comparison studies between mouse cortical astrocytes and neuronal progenitor cells (NPCs) demonstrated the converted neuronal cells originate indeed from the astrocytes rather than NPCs. The neurons derived from mouse cortical astrocytes display typical neuronal morphologies, express neuronal markers and possess typical neuronal electrophysiological properties. More importantly, these neurons can survive and mature in the mouse brain in vivo. Finally, by comparing astrocytes from different brain regions, we found that only cortical astrocytes but not astrocytes from other brain regions such as hippocampus and cerebellum can be converted into neurons under the current condition. Altogether, our findings suggest that neonatal astrocytes from certain brain regions possess intrinsic potential to differentiate/transdifferentiate into neurons which may have clinical relevance in the future.
Multimodal deep learning models for early detection of Alzheimer’s disease stage
Authors: Venugopalan Janani , Tong Li , Hassanzadeh Hamid Reza , Wang May D.
Published: February 2021

Most current Alzheimer’s disease (AD) and mild cognitive disorders (MCI) studies use single data modality to make predictions such as AD stages. The fusion of multiple data modalities can provide a holistic view of AD staging analysis. Thus, we use deep learning (DL) to integrally analyze imaging (magnetic resonance imaging (MRI)), genetic (single nucleotide polymorphisms (SNPs)), and clinical test data to classify patients into AD, MCI, and controls (CN). We use stacked denoising auto-encoders to extract features from clinical and genetic data, and use 3D-convolutional neural networks (CNNs) for imaging data. We also develop a novel data interpretation method to identify top-performing features learned by the deep-models with clustering and perturbation analysis. Using Alzheimer’s disease neuroimaging initiative (ADNI) dataset, we demonstrate that deep models outperform shallow models, including support vector machines, decision trees, random forests, and k-nearest neighbors. In addition, we demonstrate that integrating multi-modality data outperforms single modality models in terms of accuracy, precision, recall, and meanF1 scores. Our models have identified hippocampus, amygdala brain areas, and the Rey Auditory Verbal Learning Test (RAVLT) as top distinguished features, which are consistent with the known AD literature.
Heterostructural transformation of mesoporous silica–titania hybrids
Authors: Paengjun Navarut , Vibulyaseak Kasimanat , Ogawa Makoto
Published: February 2021

Mesoporous silica (SBA-15 with the BJH pore size of 8 nm) containing anatase nanoparticles in the pore with two different titania contents (28 and 65 mass%), which were prepared by the infiltration of the amorphous precursor derived from tetraisopropyl orthotitanate into the pore, were heat treated in air to investigate the structural changes (both mesostructure of the SBA-15 and the phase and size of the anatase in the pore). The mesostructure of the mesoporous silica and the particle size of anatase unchanged by the heat treatment up to 800 °C. The heat treatment at the temperature higher than 1000 °C resulted in the collapse of the mesostructure and the growth of anatase nanoparticles as well as the transformation to rutile, while the transformation of anatase to rutile was suppressed especially for the sample with the lower titania content (28 mass%). The resulting mesoporous silica-anatase hybrids exhibited higher benzene adsorption capacity (adsorption from water) over those heated at lower temperature, probably due to the dehydroxylation of the silanol group on the pore surface. The photocatalytic decomposition of benzene in water by the present hybrid heated at 1100 °C was efficient as that by P25, a benchmark photocatalyst.
An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study
Authors: Yang Zikun , Bogdan Paul , Nazarian Shahin
Published: February 2021

The rampant spread of COVID-19, an infectious disease caused by SARS-CoV-2, all over the world has led to over millions of deaths, and devastated the social, financial and political entities around the world. Without an existing effective medical therapy, vaccines are urgently needed to avoid the spread of this disease. In this study, we propose an in silico deep learning approach for prediction and design of a multi-epitope vaccine (DeepVacPred). By combining the in silico immunoinformatics and deep neural network strategies, the DeepVacPred computational framework directly predicts 26 potential vaccine subunits from the available SARS-CoV-2 spike protein sequence. We further use in silico methods to investigate the linear B-cell epitopes, Cytotoxic T Lymphocytes (CTL) epitopes, Helper T Lymphocytes (HTL) epitopes in the 26 subunit candidates and identify the best 11 of them to construct a multi-epitope vaccine for SARS-CoV-2 virus. The human population coverage, antigenicity, allergenicity, toxicity, physicochemical properties and secondary structure of the designed vaccine are evaluated via state-of-the-art bioinformatic approaches, showing good quality of the designed vaccine. The 3D structure of the designed vaccine is predicted, refined and validated by in silico tools. Finally, we optimize and insert the codon sequence into a plasmid to ensure the cloning and expression efficiency. In conclusion, this proposed artificial intelligence (AI) based vaccine discovery framework accelerates the vaccine design process and constructs a 694aa multi-epitope vaccine containing 16 B-cell epitopes, 82 CTL epitopes and 89 HTL epitopes, which is promising to fight the SARS-CoV-2 viral infection and can be further evaluated in clinical studies. Moreover, we trace the RNA mutations of the SARS-CoV-2 and ensure that the designed vaccine can tackle the recent RNA mutations of the virus.