bluuebunny/crossref_metadata_2025 huggingface dataset:
Total body irradiation versus busulfan based intermediate intensity conditioning for stem cell transplantation in ALL patients >45 years—a registry-based study by the Acute Leukemia Working Party of the EBMT
Authors: Hirschbühl Klaus , Labopin Myriam , Polge Emmanuelle , Blaise Didier , Bourhis Jean Henri , Socié Gerard , Forcade Edouard , Yakoub-Agha Ibrahim , Labussière-Wallet Hélène , Bethge Wolfgang , Chevallier Patrice , Bonnet Sarah , Stelljes Matthias , Spyridonidis Alexandros , Peric Zinaida , Brissot Eolia , Savani Bipin , Giebel Sebastian , Schmid Christoph , Ciceri Fabio , Nagler Arnon , Mohty Mohamad
Published: May 2023

Allogeneic hematopoietic cell transplantation is a potentially curative treatment in high-risk acute lymphoblastic leukemia (ALL). Conditioning regimens based on ≥12 Gray total body irradiation (TBI) represent the current standard in patients ≤45 years, whereas elderly patients frequently receive intermediate intensity conditioning (IIC) to reduce toxicity. To evaluate the role of TBI as a backbone of IIC in ALL, a retrospective, registry-based study included patients >45 years transplanted from matched donors in first complete remission, who had received either fludarabine/TBI 8 Gy (FluTBI8, n = 262), or the most popular, irradiation-free alternative fludarabine/busulfan, comprising busulfan 6.4 mg/kg (FluBu6.4, n = 188) or 9.6 mg/kg (FluBu9.6, n = 51). At two years, overall survival (OS) was 68.5%, 57%, and 62.2%, leukemia-free survival (LFS) was 58%, 42.7%, and 45%, relapse incidence (RI) was 27.2%, 40%, and 30.9%, and non-relapse-mortality (NRM) was 23.1%, 20.7%, and 26.8% for patients receiving FluTBI8Gy, FluBu6.4, and FluBu9.6, respectively. In multivariate analysis, the risk of NRM, acute and chronic graft-versus-host disease was not influenced by conditioning. However, RI was higher after FluBu6.4 (hazard ratio [HR] [95% CI]: 1.85 [1.16–2.95]), and LFS was lower after both FluBu6.4 (HR: 1.56 [1.09–2.23]) and FluBu9.6 (HR: 1.63 [1.02–2.58]) as compared to FluTBI8. Although only resulting in a non-significant advantage in OS, this observation indicates a stronger anti-leukemic efficacy of TBI-based intermediate intensity conditioning.
Recent progress in the development of high-efficiency inverted perovskite solar cells
Authors: Liu Sanwan , Biju Vasudevan P. , Qi Yabing , Chen Wei , Liu Zonghao
Published: May 2023

Perovskite solar cells (PSCs) have attracted much attention due to their low-cost fabrication and high power conversion efficiency (PCE). However, the long-term stability issues of PSCs remain a significant bottleneck impeding their commercialization. Inverted PSCs with a p-i-n architecture are being actively researched due to their concurrent good stability and decent efficiency. In particular, the PCE of inverted PSCs has improved significantly in recent years and is now almost approaching that of n-i-p PSCs. This review summarizes recent progress in the development of high-efficiency inverted PSCs, including the development of perovskite compositions, fabrication methods, and counter electrode materials (CEMs). Notably, we highlight the development of charge transport materials (CTMs) and the effects of defect passivation strategies on the performance of inverted PSCs. Finally, we discuss the remaining issues and perspectives of high-efficiency inverted PSCs.
Development of nanodrug-based eye drops with good penetration properties and ROS responsiveness for controllable release to treat fungal keratitis
Authors: Niu Panhong , Wu Yuelan , Zeng Fanxing , Zhang Shuping , Liu Sijin , Gao Hua
Published: May 2023

Fungal keratitis is challenging to diagnose and treat and remains a significant cause of blindness worldwide. The easiest and most common method of drug delivery for patients with fungal keratitis is eye drop administration. However, the therapeutic effect of traditional eye drops is unsatisfactory, largely due to the intrinsic nature of the ocular barriers, which limit drug absorption; the rapid decrease in the drug concentration caused by tears; and the side effects induced by the uncontrolled release of ocular drugs. Oxidative stress and inflammation are the main causes of corneal tissue necrosis in fungal keratitis, and reducing reactive oxygen species (ROS) and the inflammatory response are important goals in developing drugs for fungal keratitis. In the current study, we developed a ROS-responsive and controllable nanocarrier (GC-EB) that efficiently delivered a clinically used antifungal drug, voriconazole (VOR), to treat fungal keratitis. In vitro and in vivo results demonstrated that the developed GC-EB-VOR exhibited high penetration through corneal barriers, good retention in the cornea and controllable drug release under low concentrations of ROS. As a result, ROS were effectively depleted and the inflammatory response was inhibited; thus, GC-EB-VOR shows promising antifungal efficacy. This work may provide a new strategy for developing nanodrugs to improve the therapeutic effect of eye drop instillation on fungal keratitis and reduce the risk of blindness.
The effect of long-term spaceflight on drug potency and the risk of medication failure
Authors: Reichard J. F. , Phelps S. E. , Lehnhardt K. R. , Young M. , Easter B. D.
Published: May 2023

Pharmaceuticals selected for exploration space missions must remain stable and effective throughout mission timeframes. Although there have been six spaceflight drug stability studies, there has not been a comprehensive analytical analysis of these data. We sought to use these studies to quantify the rate of spaceflight drug degradation and the time-dependent probability of drug failure resulting from the loss of active pharmaceutical ingredient (API). Additionally, existing spaceflight drug stability studies were reviewed to identify research gaps to be addressed prior to exploration missions. Data were extracted from the six spaceflight studies to quantify API loss for 36 drug products with long-duration exposure to spaceflight. Medications stored for up to 2.4 years in low Earth orbit (LEO) exhibit a small increase in the rate of API loss with a corresponding increase in risk of product failure. Overall, the potency for all spaceflight-exposed medications remains within 10% of terrestrial lot-matched control with a ~1.5 increase in degradation rate. All existing studies of spaceflight drug stability have focused primarily on repackaged solid oral medications, which is important because non-protective repackaging is a well-established factor contributing to loss of drug potency. The factor most detrimental to drug stability appears to be nonprotective drug repackaging, based on premature failure of drug products in the terrestrial control group. The result of this study supports a critical need to evaluate the effects of current repackaging processes on drug shelf life, and to develop and validate suitable protective repackaging strategies that help assure the stability of medications throughout the full duration of exploration space missions.
Feasibility study of the Nox-T3 device to detect swallowing and respiration pattern in neurologically impaired patients in the acute phase
Authors: Theytaz Fanny , Vuistiner Aline , Schweizer Valérie , Crépin Adélie , Sandu Kishore , Chaouch Aziz , Piquilloud Lise , Lecciso Gianpaolo , Coombes Kay , Diserens Karin
Published: May 2023

Dysphagia is a frequent complication in neurologically impaired patients, which can lead to aspiration pneumonia and thus prolonged hospitalization or even death. It is essential therefore, to detect and assess dysphagia early for best patient care. Fiberoptic endoscopic and Videofluoroscopy evaluation of swallowing are the gold standard exams in swallowing studies but neither are perfectly suitable for patients with disorders of consciousness (DOC). In this study, we aimed to find the sensitivity and specificity of the Nox-T3 sleep monitor for detection of swallowing. A combination of submental and peri-laryngeal surface electromyography, nasal cannulas and respiratory inductance plethysmography belts connected to Nox-T 3 allows recording swallowing events and their coordination with breathing, providing time-coordinated patterns of muscular and respiratory activity. We compared Nox-T3 swallowing capture to manual swallowing detection on fourteen DOC patients. The Nox-T3 method identified swallow events with a sensitivity of 95% and a specificity of 99%. In addition, Nox-T3 has qualitative contributions, such as visualization of the swallowing apnea in the respiratory cycle which provide additional information on the swallowing act that is useful to clinicians in the management and rehabilitation of the patient. These results suggest that Nox-T3 could be used for swallowing detection in DOC patients and support its continued clinical use for swallowing disorder investigation.
Scaffold repositioning of spiro-acridine derivatives as fungi chitinase inhibitor by target fishing and in vitro studies
Authors: de Oliveira Viana Jéssika , Silva e Souza Eden , Sbaraini Nicolau , Vainstein Marilene Henning , Gomes Joilly Nilce Santana , de Moura Ricardo Olímpio , Barbosa Euzébio Guimarães
Published: May 2023

The concept of “one target, one drug, one disease” is not always true, as compounds with previously described therapeutic applications can be useful to treat other maladies. For example, acridine derivatives have several potential therapeutic applications. In this way, identifying new potential targets for available drugs is crucial for the rational management of diseases. Computational methodologies are interesting tools in this field, as they use rational and direct methods. Thus, this study focused on identifying other rational targets for acridine derivatives by employing inverse virtual screening (IVS). This analysis revealed that chitinase enzymes can be potential targets for these compounds. Subsequently, we coupled molecular docking consensus analysis to screen the best chitinase inhibitor among acridine derivatives. We observed that 3 compounds displayed potential enhanced activity as fungal chitinase inhibitors, showing that compound 5 is the most active molecule, with an IC50 of 0.6 ng/µL. In addition, this compound demonstrated a good interaction with the active site of chitinases from Aspergillus fumigatus and Trichoderma harzianum. Additionally, molecular dynamics and free energy demonstrated complex stability for compound 5. Therefore, this study recommends IVS as a powerful tool for drug development. The potential applications are highlighted as this is the first report of spiro-acridine derivatives acting as chitinase inhibitors that can be potentially used as antifungal and antibacterial candidates.
Impact of cholecystectomy on acute coronary syndrome according to metabolic condition: a nationwide population-based cohort study
Authors: Chae Wonjeong , Lee Hee Seung , Jo Jung Hyun , Chung Moon Jae , Bang Seungmin , Park Seung Woo , Song Si Young , Jang Sung-In , Park Jeong Youp
Published: May 2023

Gallbladder stones (GS) is associated with an increased risk of cardiovascular disease. However, the relationship between cholecystectomy for GS and acute coronary syndrome (ACS) is unknown. We investigated the ACS risk in patients with GS and its association with cholecystectomy. Data from the Korean National Health Insurance Service-National Sample Cohort from 2002 to 2013 was extracted. Overall, 64,370 individuals were selected through a 1:3 propensity score matching. Patients were stratified into two groups for comparison: the gallstone group, GS patients with or without cholecystectomy; and the control group, patients without GS or cholecystectomy. The gallstone group exhibited a higher risk of ACS than the control group (hazard ratio [HR], 1.30; 95% confidence interval [CI] 1.15–1.47; P < 0.0001). In the gallstone group, individuals without cholecystectomy had a higher risk of ACS development (HR: 1.35, 95% CI 1.17–1.55, P < 0.0001). Patients with GS with diabetes, hypertension, or dyslipidemia, had a higher risk of developing ACS than GS patients without the metabolic diseases (HR: 1.29, P < 0.001). The risk did not significantly differ after cholecystectomy compared to those without GS (HR: 1.15, P = 0.1924), but without cholecystectomy, the risk of ACS development was significantly higher than control group (1.30, 95% CI 1.13–1.50, P = 0.0004). Among patients without above metabolic disorders, cholecystectomy was still associated with increased ACS risk in the gallstone group (HR: 2.93, 95% CI 1.27–6.76, P = 0.0116). GS increased the risk of ACS. The effect of cholecystectomy on ACS risk differs according to the presence or absence of metabolic disorders. Thus, the decision to perform cholecystectomy for GS should consider both the ACS risk and the underlying disorders.
Inference in conditioned dynamics through causality restoration
Authors: Braunstein Alfredo , Catania Giovanni , Dall’Asta Luca , Mariani Matteo , Muntoni Anna Paola
Published: May 2023

Estimating observables from conditioned dynamics is typically computationally hard. While obtaining independent samples efficiently from unconditioned dynamics is usually feasible, most of them do not satisfy the imposed conditions and must be discarded. On the other hand, conditioning breaks the causal properties of the dynamics, which ultimately renders the sampling of the conditioned dynamics non-trivial and inefficient. In this work, a Causal Variational Approach is proposed, as an approximate method to generate independent samples from a conditioned distribution. The procedure relies on learning the parameters of a generalized dynamical model that optimally describes the conditioned distribution in a variational sense. The outcome is an effective and unconditioned dynamical model from which one can trivially obtain independent samples, effectively restoring the causality of the conditioned dynamics. The consequences are twofold: the method allows one to efficiently compute observables from the conditioned dynamics by averaging over independent samples; moreover, it provides an effective unconditioned distribution that is easy to interpret. This approximation can be applied virtually to any dynamics. The application of the method to epidemic inference is discussed in detail. The results of direct comparison with state-of-the-art inference methods, including the soft-margin approach and mean-field methods, are promising.
Malaria, climate variability, and interventions: modelling transmission dynamics
Authors: Beloconi Anton , Nyawanda Bryan O. , Bigogo Godfrey , Khagayi Sammy , Obor David , Danquah Ina , Kariuki Simon , Munga Stephen , Vounatsou Penelope
Published: May 2023

Assessment of the relative impact of climate change on malaria dynamics is a complex problem. Climate is a well-known factor that plays a crucial role in driving malaria outbreaks in epidemic transmission areas. However, its influence in endemic environments with intensive malaria control interventions is not fully understood, mainly due to the scarcity of high-quality, long-term malaria data. The demographic surveillance systems in Africa offer unique platforms for quantifying the relative effects of weather variability on the burden of malaria. Here, using a process-based stochastic transmission model, we show that in the lowlands of malaria endemic western Kenya, variations in climatic factors played a key role in driving malaria incidence during 2008–2019, despite high bed net coverage and use among the population. The model captures some of the main mechanisms of human, parasite, and vector dynamics, and opens the possibility to forecast malaria in endemic regions, taking into account the interaction between future climatic conditions and intervention scenarios.
Reduced microbial diversity of the nasopharyngeal microbiome in household contacts with latent tuberculosis infection
Authors: Ruiz-Tagle Cinthya , Ugalde Juan A. , Naves Rodrigo , Araos Rafael , García Patricia , Balcells María Elvira
Published: May 2023

The upper respiratory tract is an obliged pathway for respiratory pathogens and a healthy microbiota may support the host's mucosal immunity preventing infection. We analyzed the nasopharyngeal microbiome in tuberculosis household contacts (HHCs) and its association with latent tuberculosis infection (TBI). A prospective cohort of HHCs was established and latent TBI status was assessed by serial interferon-γ release assay (IGRA). Nasopharyngeal swabs collected at baseline were processed for 16S rRNA gene sequencing. The 82 participants included in the analysis were classified as: (a) non-TBI [IGRA negative at baseline and follow-up, no active TB (n = 31)], (b) pre-TBI [IGRA negative at baseline but converted to IGRA positive or developed active TB at follow-up (n = 16)], and (c) TBI [IGRA positive at enrollment (n = 35)]. Predominant phyla were Actinobacteriota, Proteobacteria, Firmicutes and Bacteroidota. TBI group had a lower alpha diversity compared to non-TBI (padj = 0.04) and pre-TBI (padj = 0.04). Only TBI and non-TBI had beta diversity differences (padj = 0.035). Core microbiomes’ had unique genera, and genus showed differential abundance among groups. HHCs with established latent TBI showed reduced nasopharyngeal microbial diversity with distinctive taxonomical composition. Whether a pre-existing microbiome feature favors, are a consequence, or protects against Mycobacterium tuberculosis needs further investigation.
Common variants of pro-inflammatory gene IL1B and interactions with PPP1R13L and POLR1G in relation to lung cancer among Northeast Chinese
Authors: Yin Jiaoyang , Wang Chunhong , Vogel Ulla , Ma Yegang , Zhang Ying , Wang Huiwen , Sun Zhenxiang , Du Shuai
Published: May 2023

Lung cancer is a complex disease influenced by a variety of genetic and environmental factors. The cytokine interleukin 1 encoded by IL1B is an important mediator of the inflammatory response, and is involved in a variety of cellular activities. The effect of single nucleotide polymorphisms (SNP) at IL1B has been investigated in relation to cancer with inconsistent results. This Northeastern-Chinese case–control study involving 627 cases and 633 controls evaluated the role of three haplotype-tagging single nucleotide polymorphisms (htSNP) (rs1143633, rs3136558 and rs1143630) representing 95% of the common haplotype diversity across the IL1B gene and assessed interactions with IL1B, PPP1R13L, POLR1G and smoking duration in relation to lung cancer risk. The analyses of five genetic models showed associations with lung cancer risk for rs1143633 in the dominant model [adjusted-OR (95% CI) = 0.67 (0.52–0.85), P = 0.0012] and rs3136558 in the recessive model [adjusted-OR (95% CI) = 1.44 (1.05–1.98), P = 0.025]. Haplotype4 was associated with increased lung cancer risk [adjusted-OR (95% CI) = 1.55 (1.07–2.24), P = 0.021]. The variant G-allele of rs1143633 was protective in smoking sub-group of > 20 years. Using multifactor dimensionality reduction (MDR) analyses, we identified the three best candidate models of interactions and smoking-duration or IL1B rs1143633 as main effect. In conclusion, our findings suggest that IL1B SNP rs1143633 may associate with lower risk of lung cancer, confirming previously identified marker; IL1B SNP rs3136558 and haplotype4 consisting of IL1B htSNPs may associate with increasing risk of lung cancer; interactions of IL1B with POLR1G or PPP1R13L or smoking-duration, which is independent or combined, may involve in risk of lung cancer and lung squamous cell carcinoma.
Sustainability transition for Indian agriculture
Authors: Paul Bino , Murari Kamal Kumar , Patnaik Unmesh , Bahinipati Chandra Sekhar , Sasidharan Subash
Published: May 2023

Farming in India faces a sustainability challenge due to its overreliance on chemical inputs. For every US$ 1,000 investment in sustainable farming, a US$ 100,000 subsidy is allocated for chemical fertilizers. Indian farming system is far off the optimal nitrogen efficiency, calling for substantial reforms in policy towards the transition to sustainable inputs. We examine the propensity of Indian farmers to adopt biofertilizers and other sustainable inputs. While small farmers are inclined towards chemical inputs, sustainable inputs are costly. Here we show that less than 5 per cent of the farming population contributes to the 95 per cent usage of the bio-fertilizer in India. However, small and marginal farmers contribute substantially to food security. Shifting from chemical to sustainable inputs calls for autonomous investment by the state to augment the capacity and improve affordability. We illustrate the transition to sustainability through a framework that includes scale, affordability, and sustainable inputs.
Evaluating COVID-19 vaccination intentions and vaccine hesitancy among parents of children with autism spectrum disorder
Authors: Khoodoruth Mohamed Adil Shah , Khoodoruth Widaad Nuzhah Chut-kai , Ramadan Abd Alrhem Mohamad , Johnson Beena , Gulistan Shaima , Deluvio Raf Bernard Corvera , Alamri Mohammed Nasser , Al-Abdulla Majid , Ouanes Sami , Khan Yasser Saeed
Published: May 2023

As the global vaccination mass campaign against COVID-19 extended to children aged 5 to 11 years, some parents remained hesitant about their children being administered the vaccine despite data supporting its safety. Parent vaccine hesitancy (PVH) may have predisposed certain groups of children, particularly those with autism spectrum disorder (ASD), to COVID-19 when other neurotypical children would have been vaccinated. We investigated the current PVH in 243 parents of children with ASD and 245 controls using the Parent Attitudes about Childhood Vaccines (PACV) scale. The study was conducted in Qatar from May to October 2022. Overall, 15.0% [95% CI 11.7%; 18.3%] of parents were vaccine-hesitant, with no difference (p = 0.054) between groups (ASD children [18.2%] vs. controls [11.7%]). The only sociodemographic factor associated with higher vaccine hesitancy was being a mother (as compared to being a father). The COVID-19 vaccine receipt rate at the time of the study did not differ between ASD (24.3%) and non-ASD groups (27.8%). Around two-thirds of parents of children with ASD refused or were unsure about vaccinating their children against COVID-19. We found that the intent to vaccinate against COVID-19 was higher in parents who were married and in those with a lower PACV total score. Continued public health efforts are needed to address vaccine hesitancy among parents.
Programming nonreciprocity and harmonic beam steering via a digitally space-time-coded metamaterial antenna
Authors: Vosoughitabar Shaghayegh , Wu Chung-Tse Michael
Published: May 2023

Recent advancement in digital coding metasurfaces incorporating spatial and temporal modulation has enabled simultaneous control of electromagnetic (EM) waves in both space and frequency domains by manipulating incident EM waves in a transmissive or reflective fashion, resulting in time-reversal asymmetry. Here we show in theory and experiment that a digitally space-time-coded metamaterial (MTM) antenna with spatiotemporal modulation at its unit cell level can be regarded as a radiating counterpart of such digital metasurface, which will enable nonreciprocal EM wave transmission and reception via surface-to-leaky-wave transformation and harmonic frequency generation. Operating in the fast wave (radiation) region, the space-time-coded MTM antenna is tailored in a way such that the propagation constant of each programmable unit cell embedded with varactor diodes can toggle between positive and negative phases, which is done through providing digital sequences by using a field-programmable gate array (FPGA). Owing to the time-varying coding sequence, harmonic frequencies are generated with different main beam directions. Furthermore, the space time modulation of the digitally coded MTM antenna allows for nonreciprocal transmission and reception of EM waves by breaking the time-reversal symmetry, which may enable many applications, such as simultaneous transmitting and receiving, unidirectional transmission, radar sensing, and multiple-input and multiple-output (MIMO) beamformer.
Large scale sequence alignment via efficient inference in generative models
Authors: Mongia Mihir , Shen Chengze , Davoodi Arash Gholami , Marçais Guillaume , Mohimani Hosein
Published: May 2023

Finding alignments between millions of reads and genome sequences is crucial in computational biology. Since the standard alignment algorithm has a large computational cost, heuristics have been developed to speed up this task. Though orders of magnitude faster, these methods lack theoretical guarantees and often have low sensitivity especially when reads have many insertions, deletions, and mismatches relative to the genome. Here we develop a theoretically principled and efficient algorithm that has high sensitivity across a wide range of insertion, deletion, and mutation rates. We frame sequence alignment as an inference problem in a probabilistic model. Given a reference database of reads and a query read, we find the match that maximizes a log-likelihood ratio of a reference read and query read being generated jointly from a probabilistic model versus independent models. The brute force solution to this problem computes joint and independent probabilities between each query and reference pair, and its complexity grows linearly with database size. We introduce a bucketing strategy where reads with higher log-likelihood ratio are mapped to the same bucket with high probability. Experimental results show that our method is more accurate than the state-of-the-art approaches in aligning long-reads from Pacific Bioscience sequencers to genome sequences.
Performance aware shared memory hierarchy model for multicore processors
Authors: Mohamed Ahmed M. , Mubark Nada , Zagloul Saad
Published: May 2023

Despite the fact that multicore processors have a better instruction execution speed and lower power consumption, they also encounter a set of design challenges. The appearance of multicore and many core architectures has raised the problem of managing shared hierarchical memory systems. The main focus of this paper is to evaluate the behavior of shared hierarchical memory systems by modeling their response time analytically. Since the gap between the memory and processor speed increases rapidly, it gets more crucial to find an analytical model that includes the significant factors that affect the performance of hierarchical memory systems. The proposed model considers the interdependence between different memory layers and differentiates between the memory response time and memory system time. Moreover, the model evaluates the effect of memory hierarchy on the variance of the memory access time. The existence of a large variance can lead to extremely long wait queues which can dramatically affect the performance of multicore processors
Broadband subwavelength imaging of flexural elastic waves in flat phononic crystal lenses
Authors: Danawe Hrishikesh , Tol Serife
Published: May 2023

Subwavelength imaging of elastic/acoustic waves using phononic crystals (PCs) is limited to a narrow frequency range via the two existing mechanisms that utilize either the intense Bragg scattering in the first phonon band or negative effective properties (left-handed material) in the second (or higher) phonon band. In the first phonon band, the imaging phenomenon can only exist at frequencies closer to the first Bragg band gap where the equal frequency contours (EFCs) are convex. Whereas, for the left-handed materials, the subwavelength imaging is restricted to a narrow frequency region where wave vectors in PC and background material are close to each other, which is essential for single-point image formation. In this work, we propose a PC lens for broadband subwavelength imaging of flexural waves in plates exploiting the second phonon band and the anisotropy of a PC lattice for the first time. Using a square lattice design with square-shaped EFCs, we enable the group velocity vector to always be perpendicular to the lens interface irrespective of the frequency and incidence angle; thus, resulting in a broadband imaging capability. We numerically and experimentally demonstrate subwavelength imaging using this concept over a significantly broadband frequency range.
Improving the cotton simulation model, GOSSYM, for soil, photosynthesis, and transpiration processes
Authors: Beegum Sahila , Timlin Dennis , Reddy Kambham Raja , Reddy Vangimalla , Sun Wenguang , Wang Zhuangji , Fleisher David , Ray Chittaranjan
Published: May 2023

GOSSYM, a mechanistic, process-level cotton crop simulation model, has a two-dimensional (2D) gridded soil model called Rhizos that simulates the below-ground processes daily. Water movement is based on gradients of water content and not hydraulic heads. In GOSSYM, photosynthesis is calculated using a daily empirical light response function that requires calibration for response to elevated carbon dioxide (CO2). This report discusses improvements made to the GOSSYM model for soil, photosynthesis, and transpiration processes. GOSSYM’s predictions of below-ground processes using Rhizos are improved by replacing it with 2DSOIL, a mechanistic 2D finite element soil process model. The photosynthesis and transpiration model in GOSSYM is replaced with a Farquhar biochemical model and Ball-Berry leaf energy balance model. The newly developed model (modified GOSSYM) is evaluated using field-scale and experimental data from SPAR (soil–plant–atmosphere-research) chambers. Modified GOSSYM better predicted net photosynthesis (root mean square error (RMSE) 25.5 versus 45.2 g CO2 m−2 day−1; index of agreement (IA) 0.89 versus 0.76) and transpiration (RMSE 3.3 versus 13.7 L m−2 day−1; IA 0.92 versus 0.14) and improved the yield prediction by 6.0%. Modified GOSSYM improved the simulation of soil, photosynthesis, and transpiration processes, thereby improving the predictive ability of cotton crop growth and development.
Deep learning applied to EEG source-data reveals both ventral and dorsal visual stream involvement in holistic processing of social stimuli
Authors: Borra Davide , Bossi Francesco , Rivolta Davide , Magosso Elisa
Published: May 2023

Perception of social stimuli (faces and bodies) relies on “holistic” (i.e., global) mechanisms, as supported by picture-plane inversion: perceiving inverted faces/bodies is harder than perceiving their upright counterpart. Albeit neuroimaging evidence suggested involvement of face-specific brain areas in holistic processing, their spatiotemporal dynamics and selectivity for social stimuli is still debated. Here, we investigate the spatiotemporal dynamics of holistic processing for faces, bodies and houses (adopted as control non-social category), by applying deep learning to high-density electroencephalographic signals (EEG) at source-level. Convolutional neural networks were trained to classify cortical EEG responses to stimulus orientation (upright/inverted), separately for each stimulus type (faces, bodies, houses), resulting to perform well above chance for faces and bodies, and close to chance for houses. By explaining network decision, the 150–200 ms time interval and few visual ventral-stream regions were identified as mostly relevant for discriminating face and body orientation (lateral occipital cortex, and for face only, precuneus cortex, fusiform and lingual gyri), together with two additional dorsal-stream areas (superior and inferior parietal cortices). Overall, the proposed approach is sensitive in detecting cortical activity underlying perceptual phenomena, and by maximally exploiting discriminant information contained in data, may reveal spatiotemporal features previously undisclosed, stimulating novel investigations.
Evaluating the complete (44-item), short (20-item) and ultra-short (10-item) versions of the Big Five Inventory (BFI) in the Brazilian population
Authors: Costa Mastrascusa Raul , de Oliveira Fenili Antunes Matheus Loli , de Albuquerque Nathalia Saraiva , Virissimo Sara Luísa , Foletto Moura Marcela , Vieira Marques Motta Bibiana , de Lara Machado Wagner , Moret-Tatay Carmen , Quarti Irigaray Tatiana
Published: May 2023

The Big Five Inventory (BFI) is an instrument designed to assess the personality of individuals aged 18 and above. The original version consists of 44 items divided into five sub-scales representing each of the five personality factors: agreeableness, neuroticism, conscientiousness, openness, and extraversion. The main purpose of this study was to assess the factorial structure of the 44-item BFI and the reliability of two shorter versions with 20 and 10 items. The study also aimed to present normative data for interpreting scores from the short and ultrashort versions of the BFI for the Brazilian population. A total of 3565 individuals with a mean age of 33.3 years (SD = 13.0) from all Brazilian states participated in the study, with 44.2% from the State of Rio Grande do Sul. Participants completed a sociodemographic questionnaire and the BFI. Confirmatory factor analysis showed poor adaptation of the original 44-item model, but the short and ultrashort versions with 20 and 10 items respectively had good adaptation indexes and reliability, with Omega coefficients above 0.70. Normative data for the shorter versions were presented using mean, standard deviation, and percentiles (lower, medium, and higher). The study concluded that the short and ultrashort versions of the BFI have good reliability and can be used in surveys requiring a brief personality assessment.
Double-negative metamaterial square enclosed Q.S.S.R For microwave sensing application in S-band with high sensitivity and Q-factor
Authors: Khalil Muhammad Amir , Yong Wong Hin , Islam Mohammad Tariqul , Hoque Ahasanul , Islam Md. Shabiul , leei Cham Chin , Soliman Mohamed S.
Published: May 2023

Metamaterials have gained much attention due to their exciting characteristics and potential uses in constructing valuable technologies. This paper presents a double negative square resonator shape metamaterial sensor to detect the material and its thickness. An innovative double-negative metamaterial sensor for microwave sensing applications is described in this paper. It has a highly sensitive Q-factor and has good absorption characteristics approximately equal to one. For the metamaterial sensor, the recommended measurement is 20 by 20 mm. Computer simulation technology (C.S.T.) microwave studios are used to design the metamaterial structure and figure out its reflection coefficient. Various parametric analyses have been performed to optimize the design and size of the structure. The experimental and theoretical results are shown for a metamaterial sensor that is attached to five different materials such as, Polyimide, Rogers RO3010, Rogers RO4350, Rogers RT5880, and FR-4. A sensor’s performance is evaluated using three different thicknesses of FR-4. There is a remarkable similarity between the measured and simulated outcomes. The sensitivity values for 2.88 GHz and 3.5 GHz are 0.66% and 0.19%, respectively, the absorption values for both frequencies are 99.9% and 98.9%, respectively, and the q-factor values are 1413.29 and 1140.16, respectively. In addition, the figure of merit (FOM) is analyzed, and its value is 934.18. Furthermore, the proposed structure has been tested against absorption sensor applications for the purpose of verifying the sensor's performance. With a high sense of sensitivity, absorption, and Q-factor, the recommended sensor can distinguish between thicknesses and materials in various applications.
Zero-shot transfer learned generic AI models for prediction of optimally ripe climacteric fruits
Authors: Dutta Jayita , Patwardhan Manasi , Deshpande Parijat , Karande Shirish , Rai Beena
Published: May 2023

Ideally, ripe fruits offer appropriate nutritional content and best quality in terms of taste and flavour. Prediction of ripe climacteric fruits acts as the main marketing indicator for quality from the consumer perspective and thus renders it a genuine industrial concern for all the stakeholders of the fruit supply chain. However, the building of fruit-specific individual model for the prediction of ripeness level remains an existing challenge due to the scarcity of sufficient labeled experimental data for each fruit. This paper describes the development of generic AI models based on the similarity in physico-chemical degradation phenomena of climacteric fruits for prediction of ‘unripe’ and ‘ripe’ levels using ‘zero-shot’ transfer learning techniques. Experiments were performed on a variety of climacteric and non-climacteric fruits, and it was observed that transfer learning works better for fruits within a cluster (climacteric fruits) as compared to across clusters (climacteric to non-climacteric fruits). The main contributions of this work are two-fold (i) Using domain knowledge of food chemistry to label the data in terms of age of the fruit, (ii) We hypothesize and prove that the zero-shot transfer learning works better within a set of fruits, sharing similar degradation chemistry depicted by their visual properties like black spot formations, wrinkles, discoloration, etc. The best models trained on banana, papaya and mango dataset resulted in s zero-shot transfer learned accuracies in the range of 70 to 82 for unknown climacteric fruits. To the best of our knowledge, this is the first study to demonstrate the same.
RNA-seq analysis and reconstruction of gene networks involved in response to salinity stress in quinoa (cv. Titicaca)
Authors: Hosseini Sahar Sadat , Ramezanpour Seyedeh Sanaz , Soltanloo Hassan , Seifati Seyed Ebrahim
Published: May 2023

To better understand the mechanisms involved in salinity stress, the adaptability of quinoa cv. Titicaca—a halophytic plant—was investigated at the transcriptome level under saline and non-saline conditions. RNA-sequencing analysis of leaf tissue at the four-leaf stage by Illumina paired—end method was used to compare salt stress treatment (four days after stress at 13.8 dsm−1) and control. Among the obtained 30,846,354 transcripts sequenced, 30,303 differentially expressed genes from the control and stress treatment samples were identified, with 3363 genes expressed ≥ 2 and false discovery rate (FDR) of < 0.001. Six differential expression genes were then selected and qRT-PCR was used to confirm the RNA-seq results. Some of the genes (Include; CML39, CBSX5, TRX1, GRXC9, SnRKγ1 and BAG6) and signaling pathways discussed in this paper not been previously studied in quinoa. Genes with ≥ 2 were used to design the gene interaction network using Cytoscape software, and AgriGO software and STRING database were used for gene ontology. The results led to the identification of 14 key genes involved in salt stress. The most effective hub genes involved in salt tolerance were the heat shock protein gene family. The transcription factors that showed a significant increase in expression under stress conditions mainly belonged to the WRKY, bZIP and MYB families. Ontology analysis of salt stress-responsive genes and hub genes revealed that metabolic pathways, binding, cellular processes and cellular anatomical entity are among the most effective processes involved in salt stress.
The cytoplasmic N-terminal tail of Zika virus NS4A protein forms oligomers in the absence of detergent or lipids
Authors: Surya Wahyu , Liu Yiting , Torres Jaume
Published: May 2023

The non-structural (NS) NS4A protein in flaviviruses has three predicted transmembrane domains, is critical for virulence and participates in membrane morphogenesis. In Dengue virus (DENV), both hydrophylic N-terminal tail and its first transmembrane domain participate in the formation of oligomers which are important for pathogenicity. However, the relative importance of the N-terminal domain in oligomerization has been under debate. In particular, since in the absence of detergent or lipids, this domain (residues 1–48) in both DENV and Zika virus (ZIKV) NS4A, was found to be disordered. Recently, however, we reported preliminary data that showed that peptide ZIKV NS4A 4–58 adopts a defined secondary structure in aqueous solution and forms oligomers, signaling its importance for full length NS4A oligomerization. Herein we have performed detailed analytical ultracentrifugation experiments to further characterize the oligomerization of this peptide and also a shorter variant (residues 4–44). In both cases, sedimentation velocity produced a single species with concentration-dependent sedimentation coefficient, consistent with a fast equilibrium between at least two species. Combining sedimentation velocity and equilibrium experiments, data is best fitted to a monomer–dimer–trimer equilibrium. Possible models of NS4A oligomers obtained with AlphaFold-2 predict the stabilizing role for residues in this N-terminal domain, such as Arg20, Asn27, Ala44 and Glu50, all at highly conserved positions in flavivirus NS4A proteins. Our results are thus consistent with N-terminal domain interactions acting as one of the driving forces for NS4A homo-oligomerization.
Impacts of the flipped classroom on student performance and problem solving skills in secondary school chemistry courses
Authors: Yu Liang , Li Yueru , Lan Yu , Zheng Huzhi
Published: May 2023

The use of the flipped classroom approach in chemistry courses has rapidly increased over the past decade, and it appears that this type of learning environment will play an essential role in improving student success. However, it's crucial to note that the majority of these studies were carried out in higher education environments. There hasn’t been much research comparing flipped to traditional classrooms in K-12 institutions. The majority of comparisons between flipped and non-flipped groups were taught by different teachers, and typically conducted over a brief period of time, often a few weeks. The purpose of this study is to examine the impacts of the flipped classroom on student performance and problem solving skills in chemistry courses. A two-stage experiment was conducted in a secondary school in the Northwestern part of China with the flipped classroom group including 46 students, 20 males and 26 females and the non-flipped classroom group consisting of 50 students, 30 males and 20 females. Both groups were taught by the same chemistry teacher with eight years of teaching experience. Independent t-tests showed that the flipped classroom significantly improved student academic performance compared to the non-flipped classroom, and this effect lasted for at least one year. The study also found that flipped classrooms have a more progressive impact on students’ problem solving skills, which always take a long teaching period. Meanwhile, the research findings revealed that most students preferred or strongly preferred the flipped classroom approach after they experienced it. However, as the duration of the teaching experiment grows, students’ attitudes toward the flipped classroom approach tend to polarize.
The effect of disorder in multi-component covalent organic frameworks
Authors: Wolpert Emma H. , Tarzia Andrew , Jelfs Kim E.
Published: May 2023

We examined the effect of two different types of linker distribution—random or correlated distribution—on the pore size and shape within single-layers of three multi-component COFs.
Discussion on the need for correction during isotopic analysis of nitrogen by the denitrifier method
Authors: Hu Jing , Pan Mengyan , Li Yuliang , Xing Meng , Cao Yunning , Yang Kaili , Liu Weiguo
Published: May 2023

For samples with nitrogen isotope content between −9.9 and 19.5‰, nitrogen isotope values can be obtained directly without correction since there is no significant difference between the conventional correction method and the uncorrected method.
Solvothermal synthesis of hair-like carbon nanotubes onto sub-micron-sized spherical metal oxide catalyst cores
Authors: Kobiro Kazuya , Kimura Hinako , Hirose Saki , Kinjo Makoto , Furuta Hiroshi
Published: May 2023

Sub-micron-sized almost perfect spherical catalysts, FeOx/ZrO2, were prepared by solvothermal and impregnation methods, which were subjected to thermal CVD using C2H2 gas leading to “CNT-hair”.
Efficient Buchwald–Hartwig and nitrene-mediated five-membered ring closure approaches to the total synthesis of quindoline. Unexpected direct conversion of a nitro group into a phosphazene
Authors: Thobokholt Elida N. , Simonetti Sebastián O. , Kaufman Teodoro S. , Larghi Enrique L. , Bracca Andrea B. J.
Published: May 2023

Two total syntheses of quindoline were achieved. The PPh3-mediated generation of a key nitrene caused the unprecedented formation of a phosphazene. The reaction mechanism was studied by a DFT approach.
Prediction of structurally stable two-dimensional AuClO2 with high thermoelectric performance
Authors: Cheng Puxin , Li Geng , Zhao Yinchang , Meng Xiangfei , Zeng Shuming , Xu Jialiang
Published: May 2023

A new monolayer semiconductor AuClO2 has been predicted and the results demonstrate that AuClO2 features an ultralow lattice thermal conductivity and a high figure of merit zT, supporting its potential application as a 2D thermoelectric material.
Efficient down-shifting and up-conversion emission dual-mode in RE3+-doped NaTbF4-based nano-glass ceramics
Authors: del-Castillo Javier , Yanes Angel Carlos , Cantón-Jara Moisés
Published: May 2023

Intense green and red emissions, visible to the naked eye, coming from Tb3+ to Eu3+ ions, respectively, were observed by down-shifting (from UV-blue excitation) and by cooperative up-conversion (from 980 nm excitation) mechanisms.
Synthesis, structure, and application of boron-containing macrocycles
Authors: Wu Yuhao , Li Shuchang , Li Haokun , Ye Ruquan , Lu Zhenpin
Published: May 2023

In recent years, boron-containing macrocycles have received considerable research interest.
Challenging interferometric imaging: Machine learning-based source localization from uv-plane observations
Authors: Taran O. , Bait O. , Dessauges-Zavadsky M. , Holotyak T. , Schaerer D. , Voloshynovskiy S.
Published: May 2023

Context. Rising interest in radio astronomy and upcoming projects in the field is expected to produce petabytes of data per day, questioning the applicability of traditional radio astronomy data analysis approaches under the new large-scale conditions. This requires new, intelligent, fast, and efficient methods that potentially involve less input from the domain expert.

Aims. In our work, we examine, for the first time, the possibility of fast and efficient source localization directly from the uv-observations, omitting the recovering of the dirty or clean images.

Methods. We propose a deep neural network-based framework that takes as its input a low-dimensional vector of sampled uv-data and outputs source positions on the sky. We investigated a representation of the complex-valued input uv-data via the real and imaginary and the magnitude and phase components. We provided a comparison of the efficiency of the proposed framework with the traditional source localization pipeline based on the state-of-the-art Python Blob Detection and Source Finder (PyBDSF) method. The investigation was performed on a data set of 9164 sky models simulated using the Common Astronomy Software Applications (CASA) tool for the Atacama Large Millimeter Array (ALMA) Cycle 5.3 antenna configuration.

Results. We investigated two scenarios: (i) noise-free as an ideal case and (ii) sky simulations including noise representative of typical extra-galactic millimeter observations. In the noise-free case, the proposed localization framework demonstrates the same high performance as the state-of-the-art PyBDSF method. For noisy data, however, our new method demonstrates significantly better performance, achieving a completeness level that is three times higher for sources with uniform signal-to-noise ratios (S/N) between 1 and 10, and a high increase in completeness in the low S/N regime. Furthermore, the execution time of the proposed framework is significantly reduced (by factors ~30) as compared to traditional methods that include image reconstructions from the uv-plane and subsequent source detections.

Conclusions. The proposed framework for obtaining fast and efficient source localization directly from uv-plane observations shows very encouraging results, which could open new horizons for interferometric imaging with existing and future facilities.