bluuebunny/crossref_metadata_2025 huggingface dataset:
Utilisation of a smartphone-enabled video otoscope to train novices in otological examination and procedural skills
Authors: Navaratnam A V , Halai A , Chandrasekharan D , Mistry R , Rogel-Salazar J , Manjaly J G , Tatla T , Singh A , Ramdoo K
Published: December 2021

Objective

The ai/m of this study was to compare the self-reported confidence of novices in using a smartphone-enabled video otoscope, a microscope and loupes for ear examination and external ear canal procedures.

Method

Medical students (n = 29) undertook a pre-study questionnaire to ascertain their knowledge of techniques for otoscopy and aural microsuction. Participants underwent teaching on ear anatomy, examination and procedural techniques using a microscope, loupes and smartphone-enabled video otoscopes. Confidence and preference using each modality was rated using a Likert-like questionnaire.

Results

After teaching, all modalities demonstrated a significant increase in confidence in ear examination (p < 0.0001). Confidence in using the smartphone-enabled otoscope post-teaching was highest (p = 0.015). Overall, the smartphone-enabled video otoscope was the preferred method in all other parameters assessed including learning anatomy or pathology (51.72 per cent) and learning microsuction (65.51 per cent).

Conclusion

Smartphone-enabled video otoscopes provide an alternative approach to ear examination and aural microsuction that can be undertaken outside of a traditional clinical setting and can be used by novices.
Shooting from Windows: Performing Tactical Lawfulness during Jim Crow
Authors: Livingston Lindsay
Published: December 2021

I think, then, that Negroes must concern themselves with every single means of struggle: legal, illegal, passive, active, violent and non-violent. That they must harass, debate, petition, give money to court struggles, sit-in, lie-down, strike, boycott, sing hymns, pray on steps—and shoot from their windows when the racists come cruising through their communities.

—Lorraine Hansberry (1962)
A geometrical formulation for the workspace of parallel manipulators
Authors: Russo Matteo , Ceccarelli Marco
Published: December 2021

In study this paper, a geometric formulation is proposed to describe the workspace of parallel manipulators by using a recursive approach as an extension of volume generation for solids of revolution. In this approach, the workspace volume and boundary for each limb of the parallel manipulator is obtained with an algebraic formulation derived from the kinematic chain of the limb and the motion constraints on its joints. Then, the overall workspace of the mechanism can be determined as the intersection of the limb workspaces. The workspace of different kinematic chains is discussed and classified according to its external shape. An algebraic formulation for the inclusion of obstacles in the computation is also proposed. Both analytical models and numerical simulations are reported with their advantages and limitations. An example on a 3-SPR parallel mechanism illustrates the feasibility of the formulation and its efficiency.
Fearful temperament in middle childhood predicts adolescent attention bias and anxiety symptoms: The moderating role of frontal EEG asymmetry
Authors: Liu Ran , Bell Martha Ann
Published: December 2021

The current study provided first analyses of the moderating effect of baseline-to-task frontal EEG asymmetry on the associations between 9-year fearful temperament and adolescent attention bias to threat as well as anxiety symptoms. Participants include a community sample of 122 children (60 boys, 62 girls; Mage = 14.66 years; Range = 11.82–18.13 years). Baseline-to-task frontal EEG asymmetry at age 9 moderated the relation between fearful temperament at age 9 and adolescent anxiety symptoms. Specifically, fearful temperament predicted adolescent anxiety symptoms when children showed greater right activation from baseline to an executive function task, but not greater left activation. Baseline-to-task frontal EEG asymmetry moderated the association between fearful temperament and sustained (i.e., stimulus onset asynchrony is 1250 ms) but not automatic attention bias (i.e., stimulus onset asynchrony is 500 ms). Children with greater left frontal activation from baseline to task more efficiently direct attention away from threat. Adolescent automatic attention bias to threat was related to concurrent anxiety symptoms. These findings illustrate the importance of considering frontal EEG asymmetry to shape how fearful children process threat and to influence their behavioral problems.
Internal jugular phlebectasia communicating with a cervicomediastinal lipoma: a case report
Authors: Kavanaugh Taylor J. , Wiesenauer Chad , Miyamoto Richard , Mavroudis Constantine
Published: December 2021

Venous aneurysms are an atypical presentation of neck masses in the paediatric population. The evaluation and surgical removal of internal jugular vein phlebectasia and a lipoma coexisting are described in this report. Internal jugular vein phlebectasia is theorised as a congenital defect and is becoming more common with advancing imaging technologies. Both phlebectasia and lipomas are considered benign conditions, but clinicians must be aware of tumours producing mass effect.
Accelerated hypofractionated radiotherapy for chest wall and nodal irradiation using hybrid techniques
Authors: Balaji Karunakaran , Ramasubramanian Velayudham
Published: December 2021

Aim:

This study compares three different hybrid plans, for left-sided chest wall (CW) and nodal stations irradiation using a hypofractionated dose regimen.

Materials and methods:

Planning target volumes (PTVs) of 25 breast cancer patients that included CW, supraclavicular (SCL) and internal mammary node (IMN) were planned with 3 different hybrid techniques: 3DCRT+IMRT, 3DCRT+VMAT and IMRT+VMAT. All hybrid plans were generated with a hypofractionated dose prescription of 40·5 Gy in 15 fractions. Seventy per cent of the dose was planned with the base-dose component and remaining 30% of the dose was planned with the hybrid component. All plans were evaluated based on the PTVs and organs at risk (OARs) dosimetric parameters.

Results:

The results for PTVs parameters have shown that the 3DCRT+IMRT and 3DCRT+VMAT plans were superior in uniformity index to the IMRT+VMAT plan. The OARs dose parameters were comparable between hybrid plans. The IMRT+VMAT plan provided a larger low dose volume spread to the heart and ipsilateral lung (p < 0·001). The 3DCRT+VMAT plan required less monitor units and treatment time (p = 0·005) than other plans.

Conclusion:

The 3DCRT+VMAT hybrid plan showed superior results with efficient treatment delivery and provide clinical benefit by reducing both low and high dose levels.
Response to “Authority and Power in Russia”
Authors: Kaldellis Anthony
Published: December 2021

An argument can perhaps be made that all monarchies, no matter how absolute or authoritarian, cannot function without the consent of their subjects, whether tacit or active; proclaim that they act for the welfare (however defined) of their subjects; agree to abide by rules or laws that reflect social norms (whether they actually do abide by them or not); and are vulnerable to popular dissatisfaction. I was aware of the potential for such a general argument when I wrote Byzantine Republic and so deliberately set a specific threshold for “republican monarchies” in the Roman tradition, a threshold defined by the following four criteria: (a) a robust conception of the public interest and public property to which the monarch is subordinated in normative texts issued both by the monarchy itself and its elites; (b) a conception of a legally- or ethnically-defined populace whose material wellbeing forms the sole legitimating factor for the operation of government, even if that populace lacks formal institutions by which to take direct political action itself; (c) historical instances of popular intervention in the sphere of politics that were accepted by elites as legitimate, indeed often as constitutive of their own power and positions; and (d) documented continuity between that polity and the ancient Roman res publica, coupled with awareness of that continuity.
A Muscovite Republic?
Authors: Kollmann Nancy Shields
Published: December 2021

A response to Oleg Khakhorin's stimulating application of Anthony Kadellis' “The Byzantine Republic” to Russian history, this article explores the fundamental features of Muscovite political culture.
Fluktuationsmanagement
Authors: Häfner Alexander , Truschel Christina
Published: December 2021

Die langfristige Bindung von Leistungsträgern hat für Unternehmen eine hohe betriebswirtschaftliche Relevanz. Ungewollte Fluktuationen erzeugen in Unternehmen hohe Kosten und gehen häufig auch mit Einbußen hinsichtlich Qualität, Kundenzufriedenheit und Produktivität einher. Zudem wird es immer schwieriger, gute Fach- und Führungskräfte am Arbeitsmarkt zu gewinnen.
Dieses Buch beschreibt auf der Grundlage des aktuellen Forschungsstands Leitlinien für die systematische Analyse von Fluktuationsgründen und gibt praxisnahe Handlungsempfehlungen für die Gestaltung von Interventionen zur Bindung von Leistungsträgern (z. B. Führen von Bindungsgesprächen, Gestaltung attraktiver Entwicklungswege). Dabei wird auch erläutert, wie klassische Instrumente der Personalarbeit, wie Mitarbeiterbefragungen oder Teambesprechungen, einen Beitrag zur Vermeidung ungewollter Fluktuation leisten können. Die dargestellten Themen reichen von der Einarbeitung, über Gespräche zur Erwartungsklärung bis hin zu Austrittsgesprächen und typischen Problemen bei der Umsetzung von Fluktuationsmanagement. Dabei liegt ein besonderer Schwerpunkt auf der Frage, was sowohl die direkten Führungskräfte (z. B. Teamleiter) als auch Verantwortliche im Bereich der Personal- und Organisationsentwicklung sowie die Geschäftsleitung zur Vermeidung ungewollter Fluktuationen beitragen können. Fallbeispiele aus verschiedenen Branchen (z. B. Produktion, Handel, Pflege) runden den Band ab.
Interseismic Strain Accumulation Near Lisbon (Portugal) From Space Geodesy
Authors: Fonseca J. F. B. D. , Palano M. , Falcão A. P. , Hrysiewicz A. , Fernández J.
Published: December 2021

The Lisbon Metropolitan Area, Portugal, has been affected by several destructive earthquakes nucleating both along the offshore Africa‐Eurasia plate boundary and on onshore inherited intraplate faults. Using a dense GNSS dataset coupled with PSInSAR analysis, we provide new evidence of sinistral simple shear driven by a NNE‐SSW first‐order tectonic lineament. PSInSAR vertical velocities corroborate qualitatively the GNSS strain‐rate field, showing uplift/subsidence where the GNSS data indicate contraction/extension. We propose the presence of a small block to the W of Lisbon moving independently toward the SW with a relative velocity of 0.96 ± 0.20 mm/yr, whose boundaries are part of a complex and as yet poorly constrained strike‐slip fault system, possibly rooting at depth into a simpler basement fault. Comparison between geodetic and seismic moment‐rates indicates a high seismic coupling. We show that the contribution of intraplate faults to the seismic hazard in the LMA is more important than currently assumed.
3D Crustal and Upper Mantle Model of East‐Central China From a Joint Inversion of Surface and Body Waves and Its Tectonic Implications
Authors: Yang Xiaozhou , Luo Yinhe , Zhao Kaifeng
Published: December 2021

As the junction of two important tectonic units, North China Craton and South China Block, East‐Central China has undergone multi‐period tectonic events, including the Triassic continental collision and the Mesozoic and Cenozoic subduction of the western Pacific plate, which forms unique crustal and upper mantle structures in East‐Central China. In this study, by jointly inverting body and surface waves, we construct a high‐resolution 3D Vs model of East‐Central China at the depths of 0–800 km. Our results show that along the eastern Qinling‐Dabie orogen formed by past continental collision, there are significant changes in velocity patterns in the upper mantle. From the eastern Dabie to the western Dabie, velocity features mainly vary from low velocities to high velocities, implying a westward weakening of the influence of the Paleo‐Pacific tectonic domain. The high‐velocity anomaly is partially missing beneath eastern Qinling, which may be attributed to the lower crustal and lithospheric mantle delamination. In addition, we find a significant low‐velocity anomaly in the upper mantle beneath the Lower Yangtze Craton, which may represent an upwelling of thermal fluids caused by the dehydration of stagnant slabs in the mantle transition zone. This low‐velocity anomaly extends upward into the shallow lithosphere and is consistent with the area of crustal and lithospheric thinning as well as the concentrated exposure of Cenozoic continental basalts. These connections reveal the reactivation of the lithospheric mantle by the dehydration of the stagnant slab and the asthenosphere upwelling during the Cenozoic.
Seasonal Shift in Storm Surges at Brest Revealed by Extreme Value Analysis
Authors: Reinert Markus , Pineau‐Guillou Lucia , Raillard Nicolas , Chapron Bertrand
Published: December 2021

Global warming changes the Earth's climate in different ways, in particular it influences extreme weather events like storms. Strong storms cause large surges and thus have a signature in the sea level record. While previous studies focused on long‐term changes of storm surge amplitude or frequency, changes in the timing of extreme surge events have not been investigated so far. We employed the more than 150 yr long tide gauge record of Brest (France) and found a distinct shift of storm surge timing between the years 1950 and 2000. This caused extreme events to happen about three weeks earlier during the year. We developed for this study two different methods based on statistical extreme value analysis; both methods show this shift of the seasons consistently. Furthermore, by analyzing eight additional stations, we found evidence that this timing shift happened similarly over a large part of the European Atlantic coast. Therefore, we speculate that our measured shift is part of a large‐scale climate process.
Atmospheric Pressure and Snowball Earth Deglaciation
Authors: Edkins Nicholas J. , Davies Roger
Published: December 2021

When a large amount of CO2 is added to the atmosphere, both the mixing ratio and the surface pressure increase. This causes the troposphere to expand in two directions. The greenhouse effect from the increased mixing ratio causes the tropopause pressure to decrease, so the troposphere expands upward. The increased surface pressure causes the troposphere to expand downward. The first effect is radiative and well known, while the second is nonradiative and unexplored. Here, a method is presented to compare the effect of tropospheric expansion in each direction on the surface temperature of a Snowball Earth. A series of models, from a gray model to a spectral model with realistic Snowball parameters, are used to illustrate this concept. It is shown that near the deglaciation threshold, most of the increase in surface temperature that follows an increase in CO2 is due to the nonradiative downward tropospheric expansion at the surface, not the radiative upward expansion at the tropopause. The increased atmospheric mass due to the CO2, entirely apart from its radiative effect, causes an additional increase in surface temperature and therefore aids Snowball deglaciation.
To What Extent Can UAV Photogrammetry Replicate UAV LiDAR to Determine Forest Structure? A Test in Two Contrasting Tropical Forests
Authors: McNicol Iain M. , Mitchard Edward T. A. , Aquino Chiara , Burt Andrew , Carstairs Harry , Dassi Creck , Modinga Dikongo Anaick , Disney Mathias I.
Published: December 2021

Tropical forests are complex multi‐layered systems, with the height and three‐dimensional (3D) structure of trees influencing the carbon and biodiversity they contain. Fine‐resolution 3D data on forest structure can be collected reliably with Light Detection and Ranging (LiDAR) sensors mounted on aircraft or Unoccupied Aerial Vehicles (UAVs), however, they remain expensive to collect and process. Structure‐from‐Motion (SfM) Digital Aerial Photogrammetry (SfM‐DAP), which relies on photographs taken of the same area from multiple angles, is a lower‐cost alternative to LiDAR for generating 3D data on forest structure. Here, we evaluate how SfM‐DAP compares to LiDAR data acquired concurrently using a fixed‐wing UAV, over two contrasting tropical forests in Gabon and Peru. We show that SfM‐DAP data cannot be used in isolation to measure key aspects of forest structure, including canopy height (%Bias: 40%–50%), fractional cover, and gap fraction, due to difficulties measuring ground elevation, even under low tree cover. However, we find even in complex forests, SfM‐DAP is an effective means of measuring top‐of‐canopy structure, including surface heterogeneity, and is capable of producing similar measurements of vertical structure as LiDAR. Thus, in areas where ground height is known, SfM‐DAP is an effective method for measuring important aspects of forest structure, including canopy height, and gaps, however, without ground data, SfM‐DAP is of more limited utility. Our results support the growing evidence base pointing to photogrammetry as a viable complement, or alternative, to LiDAR, capable of providing much needed information to support the mapping and monitoring of biomass and biodiversity.
A Hidden Climate Indices Modeling Framework for Multivariable Space‐Time Data
Authors: Renard B. , Thyer M. , McInerney D. , Kavetski D. , Leonard M. , Westra S.
Published: December 2021

Risk assessment for climate‐sensitive systems often relies on the analysis of several variables measured at many sites. In probabilistic terms, the task is to model the joint distribution of several spatially distributed variables, and how it varies in time. This paper describes a Bayesian hierarchical framework for this purpose. Each variable follows a distribution with parameters varying in both space and time. Temporal variability is modeled by means of hidden climate indices (HCIs) that are extracted from observed variables. This is to be contrasted with the usual approach using predefined standard climate indices (SCIs) for this purpose. In the second level of the model, the HCIs and their effects are assumed to follow temporal and spatial Gaussian processes, respectively. Both intervariable and intersite dependencies are induced by the strong effect of common HCIs. The flexibility of the framework is illustrated with a case study in Southeast Australia aimed at modeling “hot‐and‐dry” summer conditions. It involves three physical variables (streamflow, precipitation, and temperature) measured on three distinct station networks, with varying data availability and representing hundreds of sites in total. The HCI model delivers reliable and sharp time‐varying distributions for individual variables and sites. In addition, it adequately reproduces intervariable and intersite dependencies, whereas a corresponding SCI model (where hidden climate indices are replaced with standard ones) strongly underestimates them. It is finally suggested that HCI models may be used as downscaling tools to estimate the joint distribution of several variables at many stations from climate models or reanalyzes.
The association between depression and metabolic syndrome and its components: a bidirectional two-sample Mendelian randomization study
Authors: Zhang Min , Chen Jing , Yin Zhiqun , Wang Lanbing , Peng Lihua
Published: December 2021

Observational studies suggested a bidirectional correlation between depression and metabolic syndrome (MetS) and its components. However, the causal associations between them remained unclear. We aimed to investigate whether genetically predicted depression is related to the risk of MetS and its components, and vice versa. We performed a bidirectional two-sample Mendelian randomization (MR) study using summary-level data from the most comprehensive genome-wide association studies (GWAS) of depression (n = 2,113,907), MetS (n = 291,107), waist circumference (n = 462,166), hypertension (n = 463,010) fasting blood glucose (FBG, n = 281,416), triglycerides (n = 441,016), high-density lipoprotein cholesterol (HDL-C, n = 403,943). The random-effects inverse-variance weighted (IVW) method was applied as the primary method. The results identified that genetically predicted depression was significantly positive associated with risk of MetS (OR: 1.224, 95% CI: 1.091–1.374, p = 5.58 × 10−4), waist circumference (OR: 1.083, 95% CI: 1.027–1.143, p = 0.003), hypertension (OR: 1.028, 95% CI: 1.016–1.039, p = 1.34 × 10−6) and triglycerides (OR: 1.111, 95% CI: 1.060–1.163, p = 9.35 × 10−6) while negative associated with HDL-C (OR: 0.932, 95% CI: 0.885–0.981, p = 0.007) but not FBG (OR: 1.010, 95% CI: 0.986–1.034, p = 1.34). No causal relationships were identified for MetS and its components on depression risk. The present MR analysis strength the evidence that depression is a risk factor for MetS and its components (waist circumference, hypertension, FBG, triglycerides, and HDL-C). Early diagnosis and prevention of depression are crucial in the management of MetS and its components.
Glide symmetry protected higher-order topological insulators from semimetals with butterfly-like nodal lines
Authors: Zhou Xiaoting , Hsu Chuang-Han , Huang Cheng-Yi , Iraola Mikel , Mañes Juan L. , Vergniory Maia G. , Lin Hsin , Kioussis Nicholas
Published: December 2021

Most topological insulators (TIs) discovered today in spinful systems can be transformed from topological semimetals (TSMs) with vanishing bulk gap via introducing the spin-orbit coupling (SOC), which manifests the intrinsic links between the gapped topological insulator phases and the gapless TSMs. Recently, we have discovered a family of TSMs in time-reversal invariant spinless systems, which host butterfly-like nodal-lines (NLs) consisting of a pair of identical concentric intersecting coplanar ellipses (CICE). In this Communication, we unveil the intrinsic link between this exotic class of nodal-line semimetals (NLSMs) and a $${{\mathbb{Z}}}_{4}$$

Z

4

= 2 topological crystalline insulator (TCI), by including substantial SOC. We demonstrate that in three space groups (i.e., Pbam (No.55), P4/mbm (No.127), and P42/mbc (No.135)), the TCI supports a fourfold Dirac fermion on the (001) surface protected by two glide symmetries, which originates from the intertwined drumhead surface states of the CICE NLs. The higher order topology is further demonstrated by the emergence of one-dimensional helical hinge states, indicating the discovery of a higher order topological insulator protected by a glide symmetry.
High-speed programmable photonic circuits in a cryogenically compatible, visible–near-infrared 200 mm CMOS architecture
Authors: Dong Mark , Clark Genevieve , Leenheer Andrew J. , Zimmermann Matthew , Dominguez Daniel , Menssen Adrian J. , Heim David , Gilbert Gerald , Englund Dirk , Eichenfield Matt
Published: December 2021

Recent advances in photonic integrated circuits have enabled a new generation of programmable Mach–Zehnder meshes (MZMs) realized by using cascaded Mach–Zehnder interferometers capable of universal linear-optical transformations on N input/output optical modes. MZMs serve critical functions in photonic quantum information processing, quantum-enhanced sensor networks, machine learning and other applications. However, MZM implementations reported to date rely on thermo-optic phase shifters, which limit applications due to slow response times and high power consumption. Here we introduce a large-scale MZM platform made in a 200 mm complementary metal–oxide–semiconductor foundry, which uses aluminium nitride piezo-optomechanical actuators coupled to silicon nitride waveguides, enabling low-loss propagation with phase modulation at greater than 100 MHz in the visible–near-infrared wavelengths. Moreover, the vanishingly low hold-power consumption of the piezo-actuators enables these photonic integrated circuits to operate at cryogenic temperatures, paving the way for a fully integrated device architecture for a range of quantum applications.
Thermodynamics of free and bound magnons in graphene
Authors: Pierce Andrew T. , Xie Yonglong , Lee Seung Hwan , Forrester Patrick R. , Wei Di S. , Watanabe Kenji , Taniguchi Takashi , Halperin Bertrand I. , Yacoby Amir
Published: December 2021

Symmetry-broken electronic phases support neutral collective excitations. For example, monolayer graphene in the quantum Hall regime hosts a nearly ideal ferromagnetic phase at specific filling factors that spontaneously breaks the spin-rotation symmetry1–3. This ferromagnet has been shown to support spin-wave excitations known as magnons that can be electrically generated and detected4,5. Although long-distance magnon propagation has been demonstrated via transport measurements, important thermodynamic properties of such magnon populations—including the magnon chemical potential and density—have not been measured. Here we present local measurements of electron compressibility under the influence of magnons, which reveal a reduction in the gap associated with the ν = 1 quantum Hall state by up to 20%. Combining these measurements with the estimates of temperature, our analysis reveals that the injected magnons bind to electrons and holes to form skyrmions, and it enables the extraction of free magnon density, magnon chemical potential and average skyrmion spin. Our methods provide a means of probing the thermodynamic properties of charge-neutral excitations that are applicable to other symmetry-broken electronic phases.
Development of novel robotic platforms for mechanical stress induction, and their effects on plant morphology, elements, and metabolism
Authors: Kurtser Polina , Castro-Alves Victor , Arunachalam Ajay , Sjöberg Viktor , Hanell Ulf , Hyötyläinen Tuulia , Andreasson Henrik
Published: December 2021

This research evaluates the effect on herbal crops of mechanical stress induced by two specially developed robotic platforms. The changes in plant morphology, metabolite profiles, and element content are evaluated in a series of three empirical experiments, conducted in greenhouse and CNC growing bed conditions, for the case of basil plant growth. Results show significant changes in morphological features, including shortening of overall stem length by up to 40% and inter-node distances by up to 80%, for plants treated with a robotic mechanical stress-induction protocol, compared to control groups. Treated plants showed a significant increase in element absorption, by 20–250% compared to controls, and changes in the metabolite profiles suggested an improvement in plants’ nutritional profiles. These results suggest that repetitive, robotic, mechanical stimuli could be potentially beneficial for plants’ nutritional and taste properties, and could be performed with no human intervention (and therefore labor cost). The changes in morphological aspects of the plant could potentially replace practices involving chemical treatment of the plants, leading to more sustainable crop production.
Cardiovascular outcomes of type 2 diabetic patients treated with DPP‑4 inhibitors versus sulphonylureas as add-on to metformin in clinical practice
Authors: Bazo-Alvarez Juan Carlos , Pal Kingshuk , Pham Tra My , Nazareth Irwin , Petersen Irene , Sharma Manuj
Published: December 2021

DPP-4 inhibitors (DPP-4i) and sulphonylureas remain the most widely prescribed add-on treatments after metformin. However, there is limited evidence from clinical practice comparing major adverse cardiovascular events (MACE) in patients prescribed these treatments, particularly among those without prior history of MACE and from vulnerable population groups. Using electronic health records from UK primary care, we undertook a retrospective cohort study with people diagnosed type-2 diabetes mellitus, comparing incidence of MACE (myocardial infarction, stroke, major cardiovascular surgery, unstable angina) and all-cause mortality among those prescribed DPP-4i versus sulphonylureas as add-on to metformin. We stratified analysis by history of MACE, age, social deprivation and comorbidities and adjusted for HbA1c, weight, smoking-status, comorbidities and medications. We identified 17,570 patients prescribed sulphonylureas and 6,267 prescribed DPP-4i between 2008–2017. Of these, 16.3% had pre-existing MACE. Primary incidence of MACE was similar in patients prescribed DPP-4i and sulphonylureas (10.3 vs 8.5 events per 1000 person-years; adjusted Hazard Ratio (adjHR): 0.94; 95%CI 0.80–1.14). For those with pre-existing MACE, rates for recurrence were higher overall, but similar between the two groups (21.8 vs 17.2 events per 1000 person-years; adjHR: 0.93; 95%CI 0.69–1.24). For those aged over 75 and with BMI less than 25 kg/m2there was a protective effect for DPP-I, warranting further investigation. Patients initiating a DPP-4i had similar risk of cardiovascular outcomes to those initiating a sulphonylurea. This indicates the choice should be based on safety and cost, not cardiovascular prognosis, when deciding between a DPP-4i or sulphonylurea as add-on to metformin.
Deep learning data augmentation for Raman spectroscopy cancer tissue classification
Authors: Wu Man , Wang Shuwen , Pan Shirui , Terentis Andrew C. , Strasswimmer John , Zhu Xingquan
Published: December 2021

Recently, Raman Spectroscopy (RS) was demonstrated to be a non-destructive way of cancer diagnosis, due to the uniqueness of RS measurements in revealing molecular biochemical changes between cancerous vs. normal tissues and cells. In order to design computational approaches for cancer detection, the quality and quantity of tissue samples for RS are important for accurate prediction. In reality, however, obtaining skin cancer samples is difficult and expensive due to privacy and other constraints. With a small number of samples, the training of the classifier is difficult, and often results in overfitting. Therefore, it is important to have more samples to better train classifiers for accurate cancer tissue classification. To overcome these limitations, this paper presents a novel generative adversarial network based skin cancer tissue classification framework. Specifically, we design a data augmentation module that employs a Generative Adversarial Network (GAN) to generate synthetic RS data resembling the training data classes. The original tissue samples and the generated data are concatenated to train classification modules. Experiments on real-world RS data demonstrate that (1) data augmentation can help improve skin cancer tissue classification accuracy, and (2) generative adversarial network can be used to generate reliable synthetic Raman spectroscopic data.
Evolutionary analysis of angiosperm dehydrin gene family reveals three orthologues groups associated to specific protein domains
Authors: Melgar Alejandra E. , Zelada Alicia M.
Published: December 2021

Dehydrins (DHNs) are a family of plant proteins that play important roles on abiotic stress tolerance and seed development. They are classified into five structural subgroups: K-, SK-, YK-, YSK-, and KS-DHNs, according to the presence of conserved motifs named K-, Y- and S- segments. We carried out a comparative structural and phylogenetic analysis of these proteins, focusing on the less-studied KS-type DHNs. A search for conserved motifs in DHNs from 56 plant genomes revealed that KS-DHNs possess a unique and highly conserved N-terminal, 15-residue amino acid motif, not previously described. This novel motif, that we named H-segment, is present in DHNs of angiosperms, gymnosperms and lycophytes, suggesting that HKS-DHNs were present in the first vascular plants. Phylogenetic and microsynteny analyses indicate that the five structural subgroups of angiosperm DHNs can be assigned to three groups of orthologue genes, characterized by the presence of the H-, F- or Y- segments. Importantly, the hydrophilin character of DHNs correlate with the phylogenetic origin of the DHNs rather than to the traditional structural subgroups. We propose that angiosperm DHNs can be ultimately subdivided into three orthologous groups, a phylogenetic framework that should help future studies on the evolution and function of this protein family.
Artificial intelligence based automatic quantification of epicardial adipose tissue suitable for large scale population studies
Authors: Molnar David , Enqvist Olof , Ulén Johannes , Larsson Måns , Brandberg John , Johnsson Åse A. , Björnson Elias , Bergström Göran , Hjelmgren Ola
Published: December 2021

To develop a fully automatic model capable of reliably quantifying epicardial adipose tissue (EAT) volumes and attenuation in large scale population studies to investigate their relation to markers of cardiometabolic risk. Non-contrast cardiac CT images from the SCAPIS study were used to train and test a convolutional neural network based model to quantify EAT by: segmenting the pericardium, suppressing noise-induced artifacts in the heart chambers, and, if image sets were incomplete, imputing missing EAT volumes. The model achieved a mean Dice coefficient of 0.90 when tested against expert manual segmentations on 25 image sets. Tested on 1400 image sets, the model successfully segmented 99.4% of the cases. Automatic imputation of missing EAT volumes had an error of less than 3.1% with up to 20% of the slices in image sets missing. The most important predictors of EAT volumes were weight and waist, while EAT attenuation was predicted mainly by EAT volume. A model with excellent performance, capable of fully automatic handling of the most common challenges in large scale EAT quantification has been developed. In studies of the importance of EAT in disease development, the strong co-variation with anthropometric measures needs to be carefully considered.
Application and toxicity studies of arabinoxylan and β-d-glucan stearic acid ester composite coatings in extending postharvest storage of peach
Authors: Ali Usman , Kaur Prabhjot , Kanwar Swati , Kumar Vibhu , Maurya Rohit , Bishnoi Mahendra , Basu Santanu , Mazumder Koushik
Published: December 2021

Peaches are good source of nutrients and known for their taste and aroma. The highly perishable nature of the peaches tends to decay rapidly during transportation and storage is a serious constraint for efficient transportation and storage. Therefore, the effect of arabinoxylan (AX) and β-D-glucan stearic acid ester (SABG) composite coating material was examined for the postharvest storage quality of peach under storage at 22 ± 2 °C with 85% relative humidity (RH). Both, AX-SABG and shellac (1–2%) coatings significantly reduced the change in the quality attributes like weight loss (1.2–1.4 fold), respiration rate (1.1–1.2 fold), ripening index (1.3–1.5 fold) and firmness (1.3–1.5 fold) during 6 days storage as compared to the uncoated peaches. In addition, AX-SABG (1–2%) coating was more effective in retaining aroma volatiles and reducing disease incidence compared to shellac. Further, acute and chronic toxicological studies have shown no tissue related toxicity and mortality in mice. Our results suggest that AX-SABG as an edible coating has the potential to preserve the fruit quality during 6 days storage at 22 ± 2 °C and extend the postharvest shelf life of peach during storage.
Antimicrobial activity of a novel Spanish propolis against planktonic and sessile oral Streptococcus spp
Authors: Navarro-Pérez M. Luisa , Vadillo-Rodríguez Virginia , Fernández-Babiano Irene , Pérez-Giraldo Ciro , Fernández-Calderón M. Coronada
Published: December 2021

Increased bacterial resistance to traditional antimicrobial agents has prompted the use of natural products with antimicrobial properties such as propolis, extensively employed since ancient times. However, the chemical composition of propolis extracts is extremely complex and has been shown to vary depending on the region and season of collection, due to variations in the flora from which the pharmacological substances are obtained, being therefore essential for their antimicrobial activity to be checked before use. For this purpose, we evaluate the in vitro antimicrobial and anti-biofilm activity of a new and promising Spanish ethanolic extract of propolis (SEEP) on Streptococcus mutans and Streptococcus sanguinis, responsible, as dominant ‘pioneer’ species, for dental plaque. Results reveal that S. sanguinis is more sensitive to SEEP, slowing and retarding its growth considerably with lower concentrations than those needed to produce the same effect in S. mutans. SEEP presents concentration- and time-dependent killing activity and, furthermore, some of the subinhibitory concentrations employed increased biofilm formation even when bacterial growth decreased. Mono and dual-species biofilms were also inhibited by SEEP. Findings obtained clearly show the relevance of using biofilm and subinhibitory concentration models to determine optimal treatment concentrations.
The mining and construction of a knowledge base for gene-disease association in mitochondrial diseases
Authors: Wang Wei , Song Junying , Chuai Yunhai , Chen Fu , Song Chunlan , Shu Mingming , Wang Yayun , Li Yunfei , Zhai Xinyu , Han Shujie , Yao Shun , Shen Kexin , Shang Wei , Zhang Lei
Published: December 2021

Mitochondrial diseases are a group of heterogeneous genetic metabolic diseases caused by mitochondrial DNA (mtDNA) or nuclear DNA (nDNA) gene mutations. Mining the gene-disease association of mitochondrial diseases is helpful for understanding the pathogenesis of mitochondrial diseases, for carrying out early clinical diagnosis for related diseases, and for formulating better treatment strategies for mitochondrial diseases. This project researched the relationship between genes and mitochondrial diseases, combined the Malacards, Genecards, and MITOMAP disease databases to mine the knowledge on mitochondrial diseases and genes, used database integration and the sequencing method of the phenolyzer tool to integrate disease-related genes from different databases, and sorted the disease-related candidate genes. Finally, we screened 531 mitochondrial related diseases, extracted 26,723 genes directly or indirectly related to mitochondria, collected 24,602 variant sites on 1474 genes, and established a mitochondrial disease knowledge base (MitDisease) with a core of genes, diseases, and variants. This knowledge base is helpful for clinicians who want to combine the results of gene testing for diagnosis, to understand the occurrence and development of mitochondrial diseases, and to develop corresponding treatment methods.
Developing and evaluating non-invasive healthcare technologies for a group of female participants from a socioeconomically disadvantaged area
Authors: Awad Eman , Ramji Rathi , Cirovic Stefan , Rämgård Margareta , Kottorp Anders , Shleev Sergey
Published: December 2021

When compared to the general population, socioeconomically disadvantaged communities frequently experience compromised health. Monitoring the divide is challenging since standardized biomedical tests are linguistically and culturally inappropriate. The aim of this study was to develop and test a unique mobile biomedical testbed based on non-invasive analysis, as well as to explore the relationships between the objective health measures and subjective health outcomes, as evaluated with the World Health Organization Quality of Life survey. The testbed was evaluated in a socioeconomically disadvantaged neighborhood in Malmö, which has been listed as one of the twelve most vulnerable districts in Sweden. The study revealed that compared to conventional protocols the less intrusive biomedical approach was highly appreciated by the participants. Surprisingly, the collected biomedical data illustrated that the apparent health of the participants from the ethnically diverse low-income neighborhood was comparable to the general Swedish population. Statistically significant correlations between perceived health and biomedical data were disclosed, even though the dependences found were complex, and recognition of the manifest complexity needs to be included in further research. Our results validate the potential of non-invasive technologies in combination with advanced statistical analysis, especially when combined with linguistically and culturally appropriate healthcare methodologies, allowing participants to appreciate the significance of the different parameters to evaluate and monitor aspects of health.
Quantum random number generator using a cloud superconducting quantum computer based on source-independent protocol
Authors: Li Yuanhao , Fei Yangyang , Wang Weilong , Meng Xiangdong , Wang Hong , Duan Qianheng , Ma Zhi
Published: December 2021

Quantum random number generator (QRNG) relies on the intrinsic randomness of quantum mechanics to produce true random numbers which are important in information processing tasks. Due to the presence of the superposition state, a quantum computer can be used as a true random number generator. However, in practice, the implementation of the quantum computer is subject to various noise sources, which affects the randomness of the generated random numbers. To solve this problem, we propose a scheme based on the quantum computer which is motivated by the source-independent QRNG scheme in optics. By using a method to estimate the upper bound of the superposition state preparation error, the scheme can provide certified randomness in the presence of readout errors. To increase the generation rate of random bits, we also provide a parameter optimization method with a finite data size. In addition, we experimentally demonstrate our scheme on the cloud superconducting quantum computers of IBM.
Short-chain aurachin D derivatives are selective inhibitors of E. coli cytochrome bd-I and bd-II oxidases
Authors: Radloff Melanie , Elamri Isam , Grund Tamara N. , Witte Luca F. , Hohmann Katharina F. , Nakagaki Sayaka , Goojani Hojjat G. , Nasiri Hamid , Hideto Miyoshi  , Bald Dirk , Xie Hao , Sakamoto Junshi , Schwalbe Harald , Safarian Schara
Published: December 2021

Cytochrome bd-type oxidases play a crucial role for survival of pathogenic bacteria during infection and proliferation. This role and the fact that there are no homologues in the mitochondrial respiratory chain qualify cytochrome bd as a potential antimicrobial target. However, few bd oxidase selective inhibitors have been described so far. In this report, inhibitory effects of Aurachin C (AurC-type) and new Aurachin D (AurD-type) derivatives on oxygen reductase activity of isolated terminal bd-I, bd-II and bo3 oxidases from Escherichia coli were potentiometrically measured using a Clark-type electrode. We synthesized long- (C10, decyl or longer) and short-chain (C4, butyl to C8, octyl) AurD-type compounds and tested this set of molecules towards their selectivity and potency. We confirmed strong inhibition of all three terminal oxidases for AurC-type compounds, whereas the 4(1H)-quinolone scaffold of AurD-type compounds mainly inhibits bd-type oxidases. We assessed a direct effect of chain length on inhibition activity with highest potency and selectivity observed for heptyl AurD-type derivatives. While Aurachin C and Aurachin D are widely considered as selective inhibitors for terminal oxidases, their structure–activity relationship is incompletely understood. This work fills this gap and illustrates how structural differences of Aurachin derivatives determine inhibitory potency and selectivity for bd-type oxidases of E. coli.
Identification of fractures in tight-oil reservoirs: a case study of the Da'anzhai member in the central Sichuan Basin, SW China
Authors: Tian Jie , Liu Hongqi , Wang Liang , Sima Liqiang , Liu Shiqiong , Liu Xiangjun
Published: December 2021

The Da'anzhai Member of the Jurassic Ziliujing formation in central Sichuan is a typical tight-oil reservoir with porosity and permeability less than 2% and 0.1 × 10–3 μm2, respectively. Fractures in this formation are well developed in micro- and nano-scale. However, the factors that control the fracture distribution are unclear. Additionally, the uncomprehensive and ineffective identification and evaluation of fractures in the early stage of tight-oil development makes it difficult to meet the requirements of tight-oil development. In our work, we used cores, thin sections, and a scanning electron microscope (SEM) to study the influence of the microscopic rock composition, including the shelly grains, calcite grains, and clastic grains, on the fracture development. We found that the microscopic composition of shelly grains and calcite grains separately control the development of inter-shelly fractures and shelly fractures, and intergranular fractures, and tectonic fractures. Except for a small number of dissolution fractures found in mudstone, the fractures are not well developed in the formations with clastic grains. According to the characteristics of the development degree of fracture and the resolution of the well-logs, the fractures are divided into large scale, small scale, and micro-scale. By a newly established level-by-level constraints method, we systematically identified the scale, occurrence, filling characteristics, and development degree of fractures in the Da'anzhai member by well-logs. Moreover, a quantitative model is also proposed for identifying the angles and development degree of fractures. The results show that the scale of fractures can be effectively identified by the shapes and values of resistivity logs; the occurrence, development, and filling characteristics of fractures can be semi-quantitatively evaluated by the relative amplitude difference between the matrix resistivity (Rb) and formation resistivity (RT). The results are consistent with the interpretation results by formation micro-resistivity imaging (FMI) log, which further demonstrates that the level-by-level constraint method by conventional well-logs can be used to systematically and effectively predict the fracture characteristics in tight-oil reservoirs.
Estimating and predicting snakebite risk in the Terai region of Nepal through a high-resolution geospatial and One Health approach
Authors: Ochoa Carlos , Pittavino Marta , Babo Martins Sara , Alcoba Gabriel , Bolon Isabelle , Ruiz de Castañeda Rafael , Joost Stéphane , Sharma Sanjib Kumar , Chappuis François , Ray Nicolas
Published: December 2021

Most efforts to understand snakebite burden in Nepal have been localized to relatively small areas and focused on humans through epidemiological studies. We present the outcomes of a geospatial analysis of the factors influencing snakebite risk in humans and animals, based on both a national-scale multi-cluster random survey and, environmental, climatic, and socio-economic gridded data for the Terai region of Nepal. The resulting Integrated Nested Laplace Approximation models highlight the importance of poverty as a fundamental risk-increasing factor, augmenting the snakebite odds in humans by 63.9 times. For animals, the minimum temperature of the coldest month was the most influential covariate, increasing the snakebite odds 23.4 times. Several risk hotspots were identified along the Terai, helping to visualize at multiple administrative levels the estimated population numbers exposed to different probability risk thresholds in 1 year. These analyses and findings could be replicable in other countries and for other diseases.