bluuebunny/crossref_metadata_2025 huggingface dataset:
Slavery and White Womanhood in Early Modern England
Authors: Chakravarty Urvashi
Published: January 2023

This article argues that early modern literary and visual texts from Shakespeare's “Comedy of Errors” to Spenser's “Faerie Queene” repeatedly represent and render womanhood as a specifically and singularly white construction; in so doing, they establish the co-constitution of gender and race and their conscription by the contingencies of class. As this formation of white womanhood is in turn mobilized to underwrite the operations of violence and enslavement, white women themselves—and white womanhood as a politically and socially disciplined and disciplining category—emerge as not only the mediators but also the authors of these global and transhistorical processes.
Soybean response under climatic scenarios with changed mean and variability under rainfed and irrigated conditions in major soybean-growing states of the USA
Authors: Timilsina A. P. , Baigorria G. A. , Wilhite D. , Shulski M. , Heeren D. , Romero C. , Fensterseifer C. A.
Published: January 2023

Climate change has an impact on soybean production in the USA, necessitating thorough impact studies across broad geographic areas and extended periods to develop appropriate coping strategies. This study investigates the simulated response of soybean in ten major soybean-growing states of the USA under Climate Model Intercomparison Project Phase 5 based on multiple global climate models, two representative concentration pathways [RCP8.5 and RCP4.5] under rainfed and irrigated conditions for 2013–2039, 2043–2069, 2063–2099. The future climate series was developed using Agricultural Model Intercomparison and Improvement Project protocol by applying mean and variability, and CROPGRO-soybean model was explored for soybean simulation under 400 ppm CO2level and a set of management. Under future climate, intense changes in temperature, precipitation amount and variability are anticipated under RCP8.5 than RCP4.5. As a result, a shorter life cycle, more evapotranspiration, lower grain production, higher water consumption and water productivity were expected under RCP8.5 than RCP4.5 scenarios. A higher reduction in grain yield and water productivity is expected under rainfed than irrigated conditions and intensity increases with advancement towards end of the century. Irrigation tends to decrease adverse climate change effects; however, the marginal economy for irrigation water must be assessed. Since the northern states under study are likely to experience increased grain yields or lower negative impacts, these areas could be the major production zones for soybean production in the future if only climate change is taken into account. Before reaching a convincing conclusion, different adaptation strategies must be thoroughly investigated.
A century of theJournal of Helminthology
Authors: Morley N.J. , Lewis J.W.
Published: January 2023

TheJournal of Helminthology(JHL) was first published in 1923 and was originally created as a house journal of the London School of Hygiene and Tropical Medicine. TheJHLwas devised by its first Editor, Robert Leiper, to allow for rapid publication of results from the Department of Helminthology and its offshoot the Institute of Agricultural Parasitology. From this initial narrow focus theJHLhas subsequently become not only internationally recognized but also retained its original emphasis on morphological, taxonomic and life cycle studies while embracing the emergence of new fields and technological advancements. The present review covers the historical development of theJHLover the last century from 1923 to 2023.
Rotation in age patterns of mortality decline: statistical evidence and modeling
Authors: Li Johnny Siu-Hang , Kim Joseph H.T.
Published: January 2023

In the context of mortality forecasting, “rotation” refers to the phenomenon that mortality decline accelerates at older ages but decelerates at younger ages. Since rotation is typically subtle, it is difficult to be confirmed and modeled in a statistical, data-driven manner. In this paper, we attempt to overcome this challenge by proposing an alternative modeling approach. The approach encompasses a new model structure, which includes a component that is devoted to measuring rotation. It also features a modeling technique known as ANCOVA, which allows us to statistically detect rotation and extrapolate the phenomenon into the future. Our proposed approach yields plausible mortality forecasts that are similar to those produced by Li et al. [Extending the Lee-Carter method to model the rotation of age patterns of mortality decline for long-term projections. Demography 50 (6), 2037–205, and may be considered more advantageous than the approach of Li et al. in the sense that it is able to generate not only static but also stochastic forecasts.
Intonation of Greek in contact with Turkish: a diachronic study
Authors: Baltazani Mary , Przedlacka Joanna , Ünal-Logačev Özlem , Logačev Pavel , Coleman John
Published: January 2023

Asia Minor Greek (AMG) speakers cohabited with Turkish speakers for eight hundred years until the 1923 Lausanne Convention, which forced a two-way mass population exchange between Turkey and Greece and severed their everyday contact. We compare the intonation of the continuation rise tune in the speech of first-generation AMG speakers born in Turkey with three subsequent generations born in Greece. We examine how long contact effects in intonation persist after contact has ceased, through comparison of the f0 patterns in four generations of AMG speakers with those of their Athenian Greek- and Turkish-speaking contemporaries. The speech of the first-generation of AMG speakers exhibits two patterns in the f0 curve shape and time alignment of the continuation rises, one Athenian-like and one Turkish-like. Over subsequent generations use of the latter diminishes, while the Athenian pattern becomes more frequent, indicating intergenerational change.
The optimal distribution of insured and uninsured deposits across banks
Authors: Voellmy Lukas
Published: January 2023

I study a model of self-fulfilling bank runs where government-provided deposit insurance covers small (retail) deposits but not large (wholesale) deposits. The share of the banking system that may be affected by runs depends on the distribution of retail and wholesale deposits across banks. The magnitude of runs is minimized if banks with both retail and wholesale depositors (reminiscent of commercial banks) coexist with banks that cater only to wholesale depositors (reminiscent of shadow banks). The shadow banking sector should be large enough to absorb enough wholesale deposits from commercial banks to keep them shielded from runs. In a decentralized equilibrium, the magnitude of runs tends to be larger than optimal as a result of wholesale depositors’ incentive to invest in the banks with the highest share of retail depositors.
Understanding the History of Two Complex Ice Crystal Habits Deduced From a Holographic Imager
Authors: Pasquier J. T. , Henneberger J. , Korolev A. , Ramelli F. , Wieder J. , Lauber A. , Li G. , David R. O. , Carlsen T. , Gierens R. , Maturilli M. , Lohmann U.
Published: January 2023

The sizes and shapes of ice crystals influence the radiative properties of clouds, as well as precipitation initiation and aerosol scavenging. However, ice crystal growth mechanisms remain only partially characterized. We present the growth processes of two complex ice crystal habits observed in Arctic mixed‐phase clouds during the Ny‐Ålesund AeroSol Cloud ExperimeNT campaign. First, are capped‐columns with multiple columns growing out of the plates' corners that we define as columns on capped‐columns. These ice crystals originated from cycling through the columnar and plate temperature growth regimes, during their vertical transport by in‐cloud circulation. Second, is aged rime on the surface of ice crystals having grown into faceted columns or plates depending on the environmental conditions. Despite their complexity, the shapes of these ice crystals allow to infer their growth history and provide information about the in‐cloud conditions. Additionally, these ice crystals exhibit complex shapes and could enhance aggregation and secondary ice production.
Detection of Air Temperature and Wind Changes Synchronized With the Lamb Wave From the 2022 Tonga Volcanic Eruption
Authors: Watada Shingo , Imanishi Yuichi , Tanaka Kenji
Published: January 2023

The explosive 2022 Tonga submarine volcanic eruption produced a globally propagated atmospheric disturbance. A leading Lamb wave pulse was recorded as a pressure pulse worldwide. A weather‐station network in Japan recorded the pressure pulse together with temperature and wind conditions during the passage of the pulse. Individual temperature and wind records indicate little simultaneous change. However, after alignment of records at the time of pressure pulse arrivals and stacking, clear temperature and wind changes synchronized with the pressure change are evident. Assuming Lamb wave propagation, the synthesized temperature and wind changes from the pressure record show a good match with the observed waveforms. The observed wind speed and pressure change of the Lamb pulse yielded a total energy transported by the pulse of 4.2 × 1016 J.
Energy Sinks for Lee Waves in the Northern South China Sea
Authors: Yang Zhinbin , Jing Zhao , Zhai Xiaoming
Published: January 2023

Recent observations report a discrepancy between observed energy dissipation rates and lee wave pressure flux predicted by linear theory in the Southern Ocean, raising the possibility that wave energy re‐absorption by mean flows may be an important route to wave energy sink. Here we investigate the sink of lee waves in the northern South China Sea in a high‐resolution nested model initialized with a synthetically‐generated rough topography. Our results indicate that wave dissipation is the dominant sink of lee wave energy, with wave energy re‐absorption being of secondary importance. The dominant direction of energy transfer is from mean flows to lee waves through vertical shear and horizontal strain of mean flows. A series of idealized experiments suggest that the weak wave energy re‐absorption in the northern South China Sea is primarily due to the large Froude number there.
The Response of Ocean Skin Temperature to Rain: Observations and Implications for Parameterization of Rain‐Induced Fluxes
Authors: Witte Carson R. , Zappa Christopher J. , Edson James B.
Published: January 2023

Rainfall alters the physical and chemical properties of the surface ocean, and its effect on ocean skin temperature and surface heat fluxes is poorly represented in many air‐sea interaction models. We present radiometric observations of ocean skin temperature, near‐surface (5 cm) temperature from a towed thermistor, and bulk atmospheric and oceanic variables, for 69 rain events observed over the course of 4 months in the Indian Ocean as part of the DYNAMO project. We test a state‐of‐the‐art prognostic model developed by Bellenger et al. (2017, https://doi.org/10.1002/2016JC012429) to predict ocean skin temperature in the presence of rain, and demonstrate a physically motivated modification to the model that improves its performance with increasing rain rate. We characterize the vertical skin‐bulk temperature gradient induced by rain and find that it levels off at high rain rates, suggestive of a transition in skin‐layer physics that has been previously hypothesized in the literature. We also quantify the small bias that will be present in turbulent sensible heat fluxes parameterized from ocean temperature measurements made at typical “bulk” depths during a rain event. Finally, a wind threshold is observed above which the surface ocean remains well‐mixed during a rain event; however, the skin temperature is observed to decrease at all wind speeds in the presence of rain.
A Multivariate Additive Inflation Approach to Improve Storm‐Scale Ensemble‐Based Data Assimilation and Forecasts: Methodology and Experiment With a Tornadic Supercell
Authors: Wang Yongming , Wang Xuguang
Published: January 2023

Ensemble‐based convective‐scale radar data assimilation commonly suffers from an underdispersive background ensemble. This study introduces a multivariate additive‐inflation method to address such deficiency. The multivariate additive inflation (AI) approach generates coherent random perturbations drawn from a newly constructed convective‐scale static background error covariance matrix for all state variables including hydrometeors and vertical velocity. This method is compared with a previously proposed univariate AI approach, which perturbs each variable individually without cross‐variable coherency. Comparisons are performed on the analyses and forecasts of the 8 May 2003 Oklahoma City tornadic supercell. Within assimilation cycles, the multivariate approach is more efficient in increasing reflectivity spread and thus has a reduced spinup time than the univariate approach; the additional inclusion of hydrometeors and vertical velocity results in more background spread for both reflectivity and radial velocity. Significant differences among AI experiments also exist in the subsequent forecasts and are more pronounced for the forecasts initialized from the earlier assimilation cycles. The multivariate approach yields better forecasts of low‐level rotation, reflectivity distributions, and storm maintenance for most lead times. The additional inclusion of hydrometeor and vertical velocity in the multivariate method is beneficial in forecasts. Conversely, the additional inclusion of hydrometeor and vertical velocity in the univariate method poses negative impacts for the majority of forecast lead times.
Fault Zone Hydraulic Parameter Estimation by Passive Methods Using Natural Forces
Authors: He Guanru , Shi Zheming , Rasmussen Todd C. , Qi Zhiyu
Published: January 2023

Hydrogeological conditions within fracture zones control subsurface fluid, solute, and heat flux and storage. While conventional groundwater methods using induced disturbances often require elaborate and expensive equipment, passive methods that use observed responses of groundwater levels to atmospheric pressure and Earth tides provide the opportunity to estimate hydrogeologic properties without having to conduct field testing. We present estimates of hydraulic properties of a fault‐damage zone embedded within crystalline rock using responses to natural perturbations, and then compare these to estimates obtained using conventional methods. We calculate the skin factor using the exhaustive algorithm to improve the consistency between the tidal and conventional methods and compare it with different barometric‐response methods in the frequency and time domains. For the tidal method, the hydraulic conductivity is 16% larger than the estimate obtained from a conventional aquifer test, the barometric‐response method in the frequency domain is 6% larger, and the inverse, Hvorslev's, CBP, and Valois's methods in the time domain are, respectively, 71%, 72%, and 97% smaller and 624% larger. Estimated fault‐damage zone properties yield a hydraulic diffusivity of D ≈ 3 m2 s−1 and a permeability of k ≈ 4 × 10−13 m2 (0.4 Darcy), which confirms the presence of a highly damaged zone. The combined tidal‐ and barometric‐response methods provide a new and robust approach for understanding and characterizing hydrogeological properties of fault‐damage zones.
Dispersion-less Kerr solitons in spectrally confined optical cavities
Authors: Xue Xiaoxiao , Grelu Philippe , Yang Bofan , Wang Mian , Li Shangyuan , Zheng Xiaoping , Zhou Bingkun
Published: January 2023

Solitons are self-reinforcing localized wave packets that manifest in the major areas of nonlinear science, from optics to biology and Bose–Einstein condensates. Recently, optically driven dissipative solitons have attracted great attention for the implementation of the chip-scale frequency combs that are decisive for communications, spectroscopy, neural computing, and quantum information processing. In the current understanding, the generation of temporal solitons involves the chromatic dispersion as a key enabling physical effect, acting either globally or locally on the cavity dynamics in a decisive way. Here, we report on a novel class of solitons, both theoretically and experimentally, which builds up in spectrally confined optical cavities when dispersion is practically absent, both globally and locally. Precisely, the interplay between the Kerr nonlinearity and spectral filtering results in an infinite hierarchy of eigenfunctions which, combined with optical gain, allow for the generation of stable dispersion-less dissipative solitons in a previously unexplored regime. When the filter order tends to infinity, we find an unexpected link between dissipative and conservative solitons, in the form of Nyquist-pulse-like solitons endowed with an ultra-flat spectrum. In contrast to the conventional dispersion-enabled nonlinear Schrödinger solitons, these dispersion-less Nyquist solitons build on a fully confined spectrum and their energy scaling is not constrained by the pulse duration. Dispersion-less soliton molecules and their deterministic transitioning to single solitons are also evidenced. These findings broaden the fundamental scope of the dissipative soliton paradigm and open new avenues for generating soliton pulses and frequency combs endowed with unprecedented temporal and spectral features.
Neural stem cell transplantation in patients with progressive multiple sclerosis: an open-label, phase 1 study
Authors: Genchi Angela , Brambilla Elena , Sangalli Francesca , Radaelli Marta , Bacigaluppi Marco , Furlan Roberto , Andolfo Annapaola , Drago Denise , Magagnotti Cinzia , Scotti Giulia Maria , Greco Raffaella , Vezzulli Paolo , Ottoboni Linda , Bonopane Marco , Capilupo Daniela , Ruffini Francesca , Belotti Daniela , Cabiati Benedetta , Cesana Stefania , Matera Giada , Leocani Letizia , Martinelli Vittorio , Moiola Lucia , Vago Luca , Panina-Bordignon Paola , Falini Andrea , Ciceri Fabio , Uglietti Anna , Sormani Maria Pia , Comi Giancarlo , Battaglia Mario Alberto , Rocca Maria A. , Storelli Loredana , Pagani Elisabetta , Gaipa Giuseppe , Martino Gianvito
Published: January 2023

Innovative pro-regenerative treatment strategies for progressive multiple sclerosis (PMS), combining neuroprotection and immunomodulation, represent an unmet need. Neural precursor cells (NPCs) transplanted in animal models of multiple sclerosis have shown preclinical efficacy by promoting neuroprotection and remyelination by releasing molecules sustaining trophic support and neural plasticity. Here we present the results of STEMS, a prospective, therapeutic exploratory, non-randomized, open-label, single-dose-finding phase 1 clinical trial (NCT03269071, EudraCT 2016-002020-86), performed at San Raffaele Hospital in Milan, Italy, evaluating the feasibility, safety and tolerability of intrathecally transplanted human fetal NPCs (hfNPCs) in 12 patients with PMS (with evidence of disease progression, Expanded Disability Status Scale ≥6.5, age 18–55 years, disease duration 2–20 years, without any alternative approved therapy). The safety primary outcome was reached, with no severe adverse reactions related tohfNPCs at 2-year follow-up, clearly demonstrating thathfNPC therapy in PMS is feasible, safe and tolerable. Exploratory secondary analyses showed a lower rate of brain atrophy in patients receiving the highest dosage ofhfNPCs and increased cerebrospinal fluid levels of anti-inflammatory and neuroprotective molecules. Although preliminary, these results support the rationale and value of future clinical studies with the highest dose ofhfNPCs in a larger cohort of patients.
Autologous T cell therapy for MAGE-A4+ solid cancers in HLA-A*02+ patients: a phase 1 trial
Authors: Hong David S. , Van Tine Brian A. , Biswas Swethajit , McAlpine Cheryl , Johnson Melissa L. , Olszanski Anthony J. , Clarke Jeffrey M. , Araujo Dejka , Blumenschein George R. , Kebriaei Partow , Lin Quan , Tipping Alex J. , Sanderson Joseph P. , Wang Ruoxi , Trivedi Trupti , Annareddy Thejo , Bai Jane , Rafail Stavros , Sun Amy , Fernandes Lilliam , Navenot Jean-Marc , Bushman Frederic D. , Everett John K. , Karadeniz Derin , Broad Robyn , Isabelle Martin , Naidoo Revashnee , Bath Natalie , Betts Gareth , Wolchinsky Zohar , Batrakou Dzmitry G. , Van Winkle Erin , Elefant Erica , Ghobadi Armin , Cashen Amanda , Grand’Maison Anne , McCarthy Philip , Fracasso Paula M. , Norry Elliot , Williams Dennis , Druta Mihaela , Liebner David A. , Odunsi Kunle , Butler Marcus O.
Published: January 2023

Affinity-optimized T cell receptors can enhance the potency of adoptive T cell therapy. Afamitresgene autoleucel (afami-cel) is a human leukocyte antigen-restricted autologous T cell therapy targeting melanoma-associated antigen A4 (MAGE-A4), a cancer/testis antigen expressed at varying levels in multiple solid tumors. We conducted a multicenter, dose-escalation, phase 1 trial in patients with relapsed/refractory metastatic solid tumors expressing MAGE-A4, including synovial sarcoma (SS), ovarian cancer and head and neck cancer (NCT03132922). The primary endpoint was safety, and the secondary efficacy endpoints included overall response rate (ORR) and duration of response. All patients (N = 38, nine tumor types) experienced Grade ≥3 hematologic toxicities; 55% of patients (90% Grade ≤2) experienced cytokine release syndrome. ORR (all partial response) was 24% (9/38), 7/16 (44%) for SS and 2/22 (9%) for all other cancers. Median duration of response was 25.6 weeks (95% confidence interval (CI): 12.286, not reached) and 28.1 weeks (95% CI: 12.286, not reached) overall and for SS, respectively. Exploratory analyses showed that afami-cel infiltrates tumors, has an interferon-γ-driven mechanism of action and triggers adaptive immune responses. In addition, afami-cel has an acceptable benefit–risk profile, with early and durable responses, especially in patients with metastatic SS. Although the small trial size limits conclusions that can be drawn, the results warrant further testing in larger studies.
Robust single-cell matching and multimodal analysis using shared and distinct features
Authors: Zhu Bokai , Chen Shuxiao , Bai Yunhao , Chen Han , Liao Guanrui , Mukherjee Nilanjan , Vazquez Gustavo , McIlwain David R. , Tzankov Alexandar , Lee Ivan T. , Matter Matthias S. , Goltsev Yury , Ma Zongming , Nolan Garry P. , Jiang Sizun
Published: January 2023

The ability to align individual cellular information from multiple experimental sources is fundamental for a systems-level understanding of biological processes. However, currently available tools are mainly designed for single-cell transcriptomics matching and integration, and generally rely on a large number of shared features across datasets for cell matching. This approach underperforms when applied to single-cell proteomic datasets due to the limited number of parameters simultaneously accessed and lack of shared markers across these experiments. Here, we introduce a cell-matching algorithm, matching with partial overlap (MARIO) that accounts for both shared and distinct features, while consisting of vital filtering steps to avoid suboptimal matching. MARIO accurately matches and integrates data from different single-cell proteomic and multimodal methods, including spatial techniques and has cross-species capabilities. MARIO robustly matched tissue macrophages identified from COVID-19 lung autopsies via codetection by indexing imaging to macrophages recovered from COVID-19 bronchoalveolar lavage fluid by cellular indexing of transcriptomes and epitopes by sequencing, revealing unique immune responses within the lung microenvironment of patients with COVID.
Behavioral origin of sound-evoked activity in mouse visual cortex
Authors: Bimbard Célian , Sit Timothy P. H. , Lebedeva Anna , Reddy Charu B. , Harris Kenneth D. , Carandini Matteo
Published: January 2023

Sensory cortices can be affected by stimuli of multiple modalities and are thus increasingly thought to be multisensory. For instance, primary visual cortex (V1) is influenced not only by images but also by sounds. Here we show that the activity evoked by sounds in V1, measured with Neuropixels probes, is stereotyped across neurons and even across mice. It is independent of projections from auditory cortex and resembles activity evoked in the hippocampal formation, which receives little direct auditory input. Its low-dimensional nature starkly contrasts the high-dimensional code that V1 uses to represent images. Furthermore, this sound-evoked activity can be precisely predicted by small body movements that are elicited by each sound and are stereotyped across trials and mice. Thus, neural activity that is apparently multisensory may simply arise from low-dimensional signals associated with internal state and behavior.
Arbuscular mycorrhizal fungi in oat-pea intercropping
Authors: Lee Alan , Neuberger Patrick , Omokanye Akim , Hernandez-Ramirez Guillermo , Kim Keunbae , Gorzelak Monika A.
Published: January 2023

Arbuscular mycorrhizal fungal diversity can be altered by intercropping plant species, as well as N fertilizer applications. This study examined the effects of oat-pea intercropping and N fertilizer addition on the richness and diversity of mycorrhizal species, as well as identified the most common arbuscular mycorrhizal fungi (AMF) genera recruited for oats and peas in two growing seasons (2019 and 2020). The AMF diversity was higher in an intercropped system compared to their respective monocropping system. Under drier conditions in 2019, arbuscular mycorrhizal richness decreased with N fertilizer addition in sole peas and increased with N fertilizer addition in sole oats, but no significant change in richness was observed in oat-pea intercropping. During the wetter growing season 2020, arbuscular mycorrhizal diversity increased when oat and pea were intercropped, compared to either sole oat or sole pea. Diversispora in sole pea was a significant indicator differentiating the root associated AMF community from sole oat. Claroideoglomus richness increased in peas in 2020, thus this genus could be moisture dependent. Paraglomus richness in oat-pea intercropping was similar to sole oat in 2019, and similar to sole pea in 2020. This can suggest that Paraglomus is an indicator of plant stress under intercropping, as based on the premise that stressed plants release more exudates, and the subsequent mycorrhizal associations favor these plants with higher exudation. Future investigations can further reveal the functions and benefits of these mycorrhizal genera in annual monocrop and intercropping systems.
The changes of distance between nipples following correction of women pectus excavatum
Authors: Yoo Gyeol , Jeon Hui Hyung , Rha Eun Young , Ko Jun Gul , Baek Sang Oon , Lee Jun Yong , Jeong Jin Yong
Published: January 2023

The breasts in women pectus excavatum patients frequently appear to be slanting medially along the inclination of the distorted ribs. This study aims to evaluate changes in the distance between the nipples and to find out whether medially slanting breasts are corrected in women pectus excavatum patients following modified Nuss procedure. This case series analysis enrolled 22 young women patients with pectus excavatum between October 2011 and September 2020. We measured all the patients’ distances from the sternal midline to the right and left nipples, based on chest computerized tomography. We calculated the distances between nipples as being the sum of the right and left distances. The mean age of patients was 16.50 ± 4.73 years, and the follow-up periods were 35.59 ± 20.23 months. The postoperative Haller indices (2.89 ± 0.43) were significantly lower than the preoperative Haller indices (5.14 ± 1.96) (p = 0.000). The distances between the nipples before and after Nuss procedure were 145.17 ± 17.73 mm and 172.29 ± 19.11 mm, which is a significant increase following surgery. (p = 0.000). Our results demonstrated that skeletal correction with modified Nuss procedure in pectus excavatum increased the distance between nipples, indicating that medially slanting breasts had been corrected.
Analysis of cerebral glucose metabolism following experimental subarachnoid hemorrhage over 7 days
Authors: Schadt Fabian , Israel Ina , Beez Alexandra , Alushi Kastriot , Weiland Judith , Ernestus Ralf-Ingo , Westermaier Thomas , Samnick Samuel , Lilla Nadine
Published: January 2023

Little is known about changes in brain metabolism following SAH, possibly leading towards secondary brain damage. Despite sustained progress in the last decade, analysis of in vivo acquired data still remains challenging. The present interdisciplinary study uses a semi-automated data analysis tool analyzing imaging data independently from the administrated radiotracer. The uptake of 2-[18F]Fluoro-2-deoxy-glucose ([18F]FDG) was evaluated in different brain regions in 14 male Sprague–Dawley rats, randomized into two groups: (1) SAH induced by the endovascular filament model and (2) sham operated controls. Serial [18F]FDG-PET measurements were carried out. Quantitative image analysis was performed by uptake ratio using a self-developed MRI-template based data analysis tool. SAH animals showed significantly higher [18F]FDG accumulation in gray matter, neocortex and olfactory system as compared to animals of the sham group, while white matter and basal forebrain region showed significant reduced tracer accumulation in SAH animals. All significant metabolic changes were visualized from 3 h, over 24 h (day 1), day 4 and day 7 following SAH/sham operation. This [18F]FDG-PET study provides important insights into glucose metabolism alterations following SAH—for the first time in different brain regions and up to day 7 during course of disease.
Descriptive characteristics of continuous oximetry measurement in moderate to severe covid-19 patients
Authors: Sobel Jonathan A. , Levy Jeremy , Almog Ronit , Reiner-Benaim Anat , Miller Asaf , Eytan Danny , Behar Joachim A.
Published: January 2023

Non-invasive oxygen saturation (SpO2) is a central vital sign used to shape the management of COVID-19 patients. Yet, there have been no report quantitatively describing SpO2 dynamics and patterns in COVID-19 patients using continuous SpO2 recordings. We performed a retrospective observational analysis of the clinical information and 27 K hours of continuous SpO2 high-resolution (1 Hz) recordings of 367 critical and non-critical COVID-19 patients hospitalised at the Rambam Health Care Campus, Haifa, Israel. An absolute SpO2 threshold of 93% most efficiently discriminated between critical and non-critical patients, regardless of oxygen support. Oximetry-derived digital biomarker (OBMs) computed per 1 h monitoring window showed significant differences between groups, notably the cumulative time below 93% SpO2 (CT93). Patients with CT93 above 60% during the first hour of monitoring, were more likely to require oxygen support. Mechanical ventilation exhibited a strong effect on SpO2 dynamics by significantly reducing the frequency and depth of desaturations. OBMs related to periodicity and hypoxic burden were markedly affected, up to several hours before the initiation of the mechanical ventilation. In summary, OBMs, traditionally used in the field of sleep medicine research, are informative for continuous assessment of disease severity and response to respiratory support of hospitalised COVID-19 patients. In conclusion, OBMs may improve risk stratification and therapy management of critical care patients with respiratory impairment.
Magnitude estimation and ground motion prediction to harness fiber optic distributed acoustic sensing for earthquake early warning
Authors: Lior Itzhak , Rivet Diane , Ampuero Jean-Paul , Sladen Anthony , Barrientos Sergio , Sánchez-Olavarría Rodrigo , Villarroel Opazo German Alberto , Bustamante Prado Jose Antonio
Published: January 2023

Earthquake early warning (EEW) systems provide seconds to tens of seconds of warning time before potentially-damaging ground motions are felt. For optimal warning times, seismic sensors should be installed as close as possible to expected earthquake sources. However, while the most hazardous earthquakes on Earth occur underwater, most seismological stations are located on-land; precious seconds may go by before these earthquakes are detected. In this work, we harness available optical fiber infrastructure for EEW using the novel approach of distributed acoustic sensing (DAS). DAS strain measurements of earthquakes from different regions are converted to ground motions using a real-time slant-stack approach, magnitudes are estimated using a theoretical earthquake source model, and ground shaking intensities are predicted via ground motion prediction equations. The results demonstrate the potential of DAS-based EEW and the significant time-gains that can be achieved compared to the use of standard sensors, in particular for offshore earthquakes.
Energy, exergy and economic (3E) analysis of flat-plate solar collector using novel environmental friendly nanofluid
Authors: Amar Muhammad , Akram Naveed , Chaudhary Ghulam Qadar , Kazi Salim Newaz , Soudagar Manzoore Elahi M. , Mubarak Nabisab Mujawar , Kalam Md Abul
Published: January 2023

The use of solar energy is one of the most prominent strategies for addressing the present energy management challenges. Solar energy is used in numerous residential sectors through flat plate solar collectors. The thermal efficiency of flat plate solar collectors is improved when conventional heat transfer fluids are replaced with nanofluids because they offer superior thermo-physical properties to conventional heat transfer fluids. Concentrated chemicals are utilized in nanofluids' conventional synthesis techniques, which produce hazardous toxic bi-products. The present research investigates the effects of novel green covalently functionalized gallic acid-treated multiwall carbon nanotubes-water nanofluid on the performance of flat plate solar collectors. GAMWCNTs are highly stable in the base fluid, according to stability analysis techniques, including ultraviolet–visible spectroscopy and zeta potential. Experimental evaluation shows that the thermo-physical properties of nanofluid are better than those of base fluid deionized water. The energy, exergy and economic analysis are performed using 0.025%, 0.065% and 0.1% weight concentrations of GAMWCNT-water at varying mass flow rates 0.010, 0.0144, 0.0188 kg/s. The introduction of GAMWCNT nanofluid enhanced the thermal performance of flat plate solar collectors in terms of energy and exergy efficiency. There is an enhancement in efficiency with the rise in heat flux, mass flow rate and weight concentration, but a decline is seen as inlet temperature increases. As per experimental findings, the highest improvement in energy efficiency is 30.88% for a 0.1% weight concentration of GAMWCNT nanofluid at 0.0188 kg/s compared to the base fluid. The collector's exergy efficiency increases with the rise in weight concentration while it decreases with an increase in flow rate. The highest exergy efficiency is achieved at 0.1% GAMWCNT concentration and 0.010 kg/s mass flow rate. GAMWCNT nanofluids have higher values for friction factor compared to the base fluid. There is a small increment in relative pumping power with increasing weight concentration of nanofluid. Performance index values of more than 1 are achieved for all GAMWCNT concentrations. When the solar thermal collector is operated at 0.0188 kg/s and 0.1% weight concentration of GAMWCNT nanofluid, the highest size reduction, 27.59%, is achieved as compared to a flat plate solar collector with water as a heat transfer fluid.
Explainable machine learning aggregates polygenic risk scores and electronic health records for Alzheimer’s disease prediction
Authors: Gao Xiaoyi Raymond , Chiariglione Marion , Qin Ke , Nuytemans Karen , Scharre Douglas W. , Li Yi-Ju , Martin Eden R.
Published: January 2023

Alzheimer’s disease (AD) is the most common late-onset neurodegenerative disorder. Identifying individuals at increased risk of developing AD is important for early intervention. Using data from the Alzheimer Disease Genetics Consortium, we constructed polygenic risk scores (PRSs) for AD and age-at-onset (AAO) of AD for the UK Biobank participants. We then built machine learning (ML) models for predicting development of AD, and explored feature importance among PRSs, conventional risk factors, and ICD-10 codes from electronic health records, a total of > 11,000 features using the UK Biobank dataset. We used eXtreme Gradient Boosting (XGBoost) and SHapley Additive exPlanations (SHAP), which provided superior ML performance as well as aided ML model explanation. For participants age 40 and older, the area under the curve for AD was 0.88. For subjects of age 65 and older (late-onset AD), PRSs were the most important predictors. This is the first observation that PRSs constructed from the AD risk and AAO play more important roles than age in predicting AD. The ML model also identified important predictors from EHR, including urinary tract infection, syncope and collapse, chest pain, disorientation and hypercholesterolemia, for developing AD. Our ML model improved the accuracy of AD risk prediction by efficiently exploring numerous predictors and identified novel feature patterns.
Effects of different straw returning amounts and fertilizer conditions on bacteria of rice’s different part in rare earth mining area
Authors: Jin Shulan , Huang Yizong , Dong Chengxu , Bai Yijun , Pan Huahua , Hu Zhongjun
Published: January 2023

Pot experiments were conducted to explore the effects of different rice straw returning soil on the community structure and function of bacteria in rice root, rhizosphere, leaf and phyllosphere under 7 conditions of rice straw combined with different fertilizers respectively. The results showed that: rice straw returning in different ways increased the content of soil pH and K, and reduced the accumulation of N, P and organic matter in soil, and different rice straw returning ways had different effects; rice straw returning reduced dry weight of rice grain, 2% of rice straw returning reduced rice grain greater than that of 1% rice straw returning; The reduction of NP combined fertilization is greater than that of NK combined fertilization and NPK combined fertilization. Except for the decrease of chao_1 index in rice root at maturity, rice straw returning significantly improved the abundance, diversity and evenness of bacteria in rice root, rhizosphere, leaf and phyllosphere. Rice straw returning increased the content of REEs in rice, and 2% of rice straw returning soil increased rare earth element (REE) content in rice grain greater than that of 1% rice straw returning soil. Different ways of rice straw returning soil reduced the abundance of Bacillus, while the abundance of Exiguobacterium in rice leaves was hundreds of times higher than that of the control group, and the genus in leaves was dozens of times higher than that of the control group, 2% of rice straw returning soil increased the abundance of harmful bacteria and pathogens of Acidovorax, Clostridium sensu stricto, Citrobacter, Curtobacterium, and 1% of rice straw returning soil promoted the abundance of nitrogen fixing bacteria, plant growth-promoting bacteria, stress resistant bacteria such as Lactobacillus, Azospira, Acinetobacter, Bradyrhizobium and Acidocella; Environmental factors such as available P, organic matter, total nitrogen, nitrate nitrogen, rare earth element content in rice roots, available K and soil moisture are important factors affecting the community structure of bacteria in rice roots, rhizosphere, leaf and phyllosphere at tillering stage of the rice. pH, REE content in rice roots, shoots, organic matter, total nitrogen, nitrate nitrogen and soil moisture content are the main environmental factors affecting the community structure of bacteria in rice roots, rhizosphere, leaf and phyllosphere at maturity stage of rice. 2% rice straw returning soil promoted the formation of harmful bacteria, which may be an important reason for its significant reduction in the dry weight of rice grains.
Automatic detection and vascular territory classification of hyperacute staged ischemic stroke on diffusion weighted image using convolutional neural networks
Authors: Lee Kun-Yu , Liu Chia-Chuan , Chen David Yen-Ting , Weng Chi-Lun , Chiu Hung-Wen , Chiang Chen-Hua
Published: January 2023

Automated ischemic stroke detection and classification according to its vascular territory is an essential step in stroke image evaluation, especially at hyperacute stage where mechanical thrombectomy may improve patients’ outcome. This study aimed to evaluate the performance of various convolutional neural network (CNN) models on hyperacute staged diffusion-weighted images (DWI) for detection of ischemic stroke and classification into anterior circulation infarct (ACI), posterior circulation infarct (PCI) and normal image slices. In this retrospective study, 253 cases of hyperacute staged DWI were identified, downloaded and reviewed. After exclusion, DWI from 127 cases were used and we created a dataset containing total of 2119 image slices, and separates it into three groups, namely ACI (618 slices), PCI (149 slices) and normal (1352 slices). Two transfer learning based CNN models, namely Inception-v3, EfficientNet-b0 and one self-derived modified LeNet model were used. The performance of the models was evaluated and activation maps using gradient-weighted class activation mapping (Grad-Cam) technique were made. Inception-v3 had the best overall accuracy (86.3%), weighted F1 score (86.2%) and kappa score (0.715), followed by the modified LeNet (85.2% accuracy, 84.7% weighted F1 score and 0.693 kappa score). The EfficientNet-b0 had the poorest performance of 83.6% accuracy, 83% weighted F1 score and 0.662 kappa score. The activation map showed that one possible explanation for misclassification is due to susceptibility artifact. A sufficiently high performance can be achieved by using CNN model to detect ischemic stroke on hyperacute staged DWI and classify it according to vascular territory.
Numerical simulation of size effect of defective rock under compression condition
Authors: Hu Zeyu , Xie Liangfu , Qin Yongjun , Liu Xuejun , Qian Jiangu
Published: January 2023

The existence of various types of damage, small cracks, some large voids and the size of the sample in the rock will make the experimental results show great discreteness. In this paper, based on the results of laboratory experiments, a numerical model of large flawed rock samples is established by using particle flow software PFC2D, and the mechanical response of rocks with different length-diameter ratios and different flaw positions in uniaxial compression experiments is discussed. The results show that the specimen size has a significant effect on the crack characteristics, mechanical characteristics and energy characteristics of rock mass. From the perspective of energy and crack characteristics, the total number of cracks after the failure of the defective rock sample is slightly lower than that of the intact rock sample, resulting in a slightly lower peak strain energy during the rock failure process. From the mechanical properties of rock samples, the Poisson’s ratio of intact rock samples is slightly smaller than that of defective rock samples. The strength of the defective sample is weakened relative to the complete rock sample, and the relationship formula between the weakening range and the aspect ratio is obtained through analysis. Moreover, different defect locations lead to different crack processes and crack modes, resulting in different uniaxial compressive strength.
Screening of lactic acid bacteria strains isolated from Iranian traditional dairy products for GABA production and optimization by response surface methodology
Authors: Edalatian Dovom Mohammad Reza , Habibi Najafi Mohammad Bagher , Rahnama Vosough Paria , Norouzi Neda , Ebadi Nezhad Seyyed Javad , Mayo Baltasar
Published: January 2023

A total of 50 lactic acid bacteria (LAB) isolates from Iranian traditional dairy products (Motal and Lighvan cheeses, and artisanal yogurt) were screened for gamma-aminobutyric acid (GABA) production. Firstly, a rapid colorimetric test was performed to evaluate the glutamate decarboxylase (GAD) activity among the LAB isolates examined. Thin layer chromatography (TLC) was then performed on selected strains to identify isolates with high/moderate GABA producing capacity, and a GABase micro-titer plate assay was employed to quantify GABA. Finally, two Lactococcus (Lac.) lactis strains were selected for GABA production optimization via Response Surface Methodology (RSM) following Central Composite Design (CCD). Forty-one out of the 50 isolates showed GAD activity according to the colorimetric assay. Eight isolates displayed strong GAD activity, while nine showed no activity; low to moderate GAD activity was scored for all other isolates. GABA production was confirmed by TLC in all isolates with high GAD activity and in four selected among isoaltes with moderate activity. Among the Lactococcus strains tested, Lac. lactis 311 and Lac. lactis 491 were the strongest GABA producers with amounts of 3.3 and 1.26 mM, respectively. These two strains were subjected to GABA production optimization applying RSM and CCD on three key variables: Monosodium glutamate concentration (MSG) (between 25 and 150 mM), incubation temperature (between 25 and 37 °C), and pH (between 4.0 and 5.0). Optimal conditions for GABA production by Lac. lactis 311 and Lac. lactis 491 of temperature, pH and MSG concentration were, respectively, 35.4 and 30 °C, pH 4.5 and 4.6, and MSG concentration of 89 and 147.4 mM, respectively. Under the above conditions, the amount of GABA produced by Lac. lactis 311 and Lac. lactis 491 was 0.395 and 0.179 mg/mL, respectively. These strains and the optimal culture conditions determined in this study could be used for the biotechnological production of GABA or applied in food fermentations for the development of naturally GABA-enriched foods.
Significant Hall–Petch effect in micro-nanocrystalline electroplated copper controlled by SPS concentration
Authors: Kao Yu-Jyun , Li Yu-Ju , Shen Yu-An , Chen Chih-Ming
Published: January 2023

Electroplated Cu has been extensively applied in advanced electronic packaging, and its mechanical properties are critical for reliability. In this study, Cu foils fabricated through electroplating with various bis-(3-sulfopropyl) disulfide (SPS) concentrations are examined using tensile tests. The SPS concentration affects the grain size of the electroplated Cu foils, resulting in different mechanical properties. A significant Hall–Petch effect, $${\sigma }_{y} = 197.4 + 0.12{d}^{\frac{-1}{2}}$$

σ
y

=
197.4
+
0.12

d

-
1

2

, is demonstrated for the electroplated Cu foils. The different concentrations of impurities identified through time-of-flight secondary ion mass spectrometry correspond to the different grain sizes, determining the transgranular and intergranular fracture during the tensile test. The results demonstrate that the SPS concentration controlling the microstructures of the electroplated Cu results in a Hall–Petch effect on the mechanical properties of the electroplated Cu foils.