bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparison of antioxidant activity assays in fresh purple waxy corn (Zea mays L.) during grain filling
Authors: Kim Jung-Tae , Chung Ill-Min , Kim Mi-Jung , Lee Jin-Seok , Son Beom-Young , Bae Hwan-Hee , Go Young Sam , Kim Sun-Lim , Baek Seong-Bum , Kim Seung-Hyun , Yi Gibum
Published: January 2022

Purple waxy corn is a good source of antioxidant compounds such as anthocyanins and polyphenols. Promotion of its use requires an appropriate assay to determine antioxidant activity. The aim of this study is to verify compatibility of the antioxidant activity assays by comparing five different assays in daily kernel samples of the fresh purple waxy corn during grain filling. The levels of antioxidants measured by 2,2-diphenyl-1-picrylhydrazyl, ferric reducing antioxidant power, and chemiluminescence showed significant positive correlations with the levels measured by the other assays (r = 0.761–0.893; p < 0.01) and with anthocyanin content (r = 0.798–0.924; p < 0.01). Reducing capacity of 2,2ʹ-azinobis (3-ethylbenzothiazoline-6-sulfonic acid) and total phenolic content also showed significant correlations (r = 0.764; p < 0.01). However, during late grain filling, the levels of antioxidants measured by all methods showed strong correlations with each other (r > 0.699; p < 0.05). The inconsistencies among the measurements are largely dependent on the developmental stage of the corn kernel. The combination of at least two assays is required to ensure reliable antioxidant activity estimates, especially for early grain-filling stages. These results will inform efforts to promote fresh purple corn as a source of antioxidants.
Falciparum malaria associated acute kidney injury with polyneuropathy and intra-arterial thrombosis (stroke)
Authors: Butt Nausheen , Ahmed Ejaz
Published: January 2022

Background

Malaria is still major problem in developing countries, such as Pakistan. Besides fever, body ache and vomiting it can present with acute kidney injury, proteinuria, hematuria and cerebral manifestations which are more common with falciparum malaria. Neurological manifestations are rare presentation of malaria and should be consider in patients who are admitting with features of neuropathy and stroke.

Case presentation

We describe an unusual case of falciparum malaria, complicated by acute kidney injury who developed Polyneuropathy and intra-arterial thrombosis in middle cerebral artery territory. Our patient recovered his renal functions during admission and recovered his power and sensation in his limbs as well after 1 month.

Conclusion

Malaria cause neurological manifestations including axonal and sensory neuropathy, cerebral venous and arterial thrombosis, PMNS, cerebellar signs and symptoms, psychosis, etc. With prompt diagnosis and early treatment they can be cure and regain their motor and sensory functions to normal level.
Regional economic structure and heterogeneous effects of monetary policy: evidence from Indonesian provinces
Authors: Aginta Harry , Someya Masakazu
Published: January 2022

We analyze how regional economic structures affect the impact of monetary policy on rates of inflation across 34 Indonesian provinces. The paper first applies structural factor augmented vector autoregressive model (SFAVAR) to all the 34 provinces based on monthly provincial data in order to measure the length and magnitude of responses of regional inflation to monetary policy shock, derived from the consequential impulse response functions of 34 provinces. In the second step, we analyze the impact of economic structures on the length and magnitude of regional inflationary responses of 34 provinces. We find that the impacts of monetary policy across regions are significantly influenced by economic structural variables such as manufacturing sector share to GDP, mining sector share to GDP, bank lending share to GDP and export share to GDP. In addition, we found the spatial lag, rate of inflation of neighboring provinces, is also statistically significant. In a similar fashion, economic structural variables such as manufacturing sector share to GDP, construction sector share to GDP and investment share to GDP are found statistically significant in explaining regional differences of monetary policy efficiency. Our findings imply economic structures of provinces have to be incorporated to designing monetary policy in Indonesia.
Neddylation-dependent protein degradation is a nexus between synaptic insulin resistance, neuroinflammation and Alzheimer’s disease
Authors: Confettura Alessandro Dario , Cuboni Eleonora , Ammar Mohamed Rafeet , Jia Shaobo , Gomes Guilherme M. , Yuanxiang PingAn , Raman Rajeev , Li Tingting , Grochowska Katarzyna M. , Ahrends Robert , Karpova Anna , Dityatev Alexander , Kreutz Michael R.
Published: January 2022

Background

The metabolic syndrome is a consequence of modern lifestyle that causes synaptic insulin resistance and cognitive deficits and that in interaction with a high amyloid load is an important risk factor for Alzheimer's disease. It has been proposed that neuroinflammation might be an intervening variable, but the underlying mechanisms are currently unknown.

Methods

We utilized primary neurons to induce synaptic insulin resistance as well as a mouse model of high-risk aging that includes a high amyloid load, neuroinflammation, and diet-induced obesity to test hypotheses on underlying mechanisms.

Results

We found that neddylation and subsequent activation of cullin-RING ligase complexes induced synaptic insulin resistance through ubiquitylation and degradation of the insulin-receptor substrate IRS1 that organizes synaptic insulin signaling. Accordingly, inhibition of neddylation preserved synaptic insulin signaling and rescued memory deficits in mice with a high amyloid load, which were fed with a 'western diet'.

Conclusions

Collectively, the data suggest that neddylation and degradation of the insulin-receptor substrate is a nodal point that links high amyloid load, neuroinflammation, and synaptic insulin resistance to cognitive decline and impaired synaptic plasticity in high-risk aging.
The bacterial density of clinical rectal swabs is highly variable, correlates with sequencing contamination, and predicts patient risk of extraintestinal infection
Authors: Chanderraj Rishi , Brown Christopher A. , Hinkle Kevin , Falkowski Nicole , Woods Robert J. , Dickson Robert P.
Published: January 2022

Background

In ecology, population density is a key feature of community analysis. Yet in studies of the gut microbiome, bacterial density is rarely reported. Studies of hospitalized patients commonly use rectal swabs for microbiome analysis, yet variation in their bacterial density—and the clinical and methodologic significance of this variation—remains undetermined. We used an ultra-sensitive quantification approach—droplet digital PCR (ddPCR)—to quantify bacterial density in rectal swabs from 118 hospitalized patients. We compared bacterial density with bacterial community composition (via 16S rRNA amplicon sequencing) and clinical data to determine if variation in bacterial density has methodological, clinical, and prognostic significance.

Results

Bacterial density in rectal swab specimens was highly variable, spanning five orders of magnitude (1.2 × 104–3.2 × 109 16S rRNA gene copies/sample). Low bacterial density was strongly correlated with the detection of sequencing contamination (Spearman ρ = − 0.95, p < 10−16). Low-density rectal swab communities were dominated by peri-rectal skin bacteria and sequencing contaminants (p < 0.01), suggesting that some variation in bacterial density is explained by sampling variation. Yet bacterial density was also associated with important clinical exposures, conditions, and outcomes. Bacterial density was lower among patients who had received piperacillin-tazobactam (p = 0.017) and increased among patients with multiple medical comorbidities (Charlson score, p = 0.0040) and advanced age (p = 0.043). Bacterial density at the time of hospital admission was independently associated with subsequent extraintestinal infection (p = 0.0028), even when controlled for severity of illness and comorbidities.

Conclusions

The bacterial density of rectal swabs is highly variable, and this variability is of methodological, clinical, and prognostic significance. Microbiome studies using rectal swabs are vulnerable to sequencing contamination and should include appropriate negative sequencing controls. Among hospitalized patients, gut bacterial density is associated with clinical exposures (antibiotics, comorbidities) and independently predicts infection risk. Bacterial density is an important and under-studied feature of gut microbiome community analysis.
Host tp53 mutation induces gut dysbiosis eliciting inflammation through disturbed sialic acid metabolism
Authors: Lee Jae-Geun , Lee Soohyun , Jeon Juhee , Kong Hyun Gi , Cho Hyun-Ju , Kim Jong-Hwan , Kim Seon-Young , Oh Myung Jin , Lee Daum , Seo Nari , Park Ki Hun , Yu Kweon , An Hyun Joo , Ryu Choong-Min , Lee Jeong-Soo
Published: January 2022

Background

Host tp53 mutations are frequently found during the early stages of colitis-associated colorectal cancer (CAC), but whether such mutations induce gut microbiota dysbiosis and chronic intestinal inflammation that contributes to the development of CAC, remains unknown.

Results

We found that zebrafish tp53 mutant larvae exhibited elevated intestinal inflammation, by monitoring the NFκB activity in the mid-distal intestines of zebrafish larvae using an NFκB:EGFP transgenic reporter line in vivo as well as neutrophil infiltration into the intestine. This inflammation was due to dysbiotic gut microbiota with reduced diversity, revealed using both 16S rRNA amplicon sequencing and a germfree larva model. In this dysbiosis, Aeromonas spp. were aberrantly enriched as major pathobionts and exhibited the capacity for aggressive colonization in tp53 mutants. Importantly, the ex-germfree experiments supported the causality of the host tp53 mutation for inducing the inflammation. Transcriptome and high-performance liquid chromatography analyses of the host gastrointestinal tracts identified dysregulated sialic acid (SA) metabolism concomitant with increased host Neu5Gc levels as the key determinant of aberrant inflammation, which was reversed by the sialidase inhibitors oseltamivir and Philippin A.

Conclusions

These results demonstrate a crucial role for host tp53 in maintaining symbiosis and immune homeostasis via SA metabolism. Disturbed SA metabolism via a tp53 mutation may be exploited by specific elements of the gut microbiome, eliciting both dysbiosis and inflammation. Manipulating sialometabolism may therefore provide an efficacious therapeutic strategy for tp53 mutation-induced dysbiosis, inflammation, and ultimately, related cancers.
Clinicians’ perspectives on supporting individuals with severe anorexia nervosa in specialist eating disorder intensive treatment settings
Authors: Webb Hannah , Dalton Bethan , Irish Madeleine , Mercado Daniela , McCombie Catherine , Peachey Gemma , Arcelus Jon , Au Katie , Himmerich Hubertus , Louise Johnston A. , Lazarova Stanimira , Pathan Tayeem , Robinson Paul , Treasure Janet , Schmidt Ulrike , Lawrence Vanessa
Published: January 2022

Background

Admissions to intensive treatment (i.e., inpatient [IP] and/or day patient [DP]) for individuals with severe anorexia nervosa (AN) are common. Growing literature indicates potential risks and benefits of each intensive treatment approach; however, existing research has focused on patient and carer perspectives of these treatments. Also, there is scant empirical evidence available for guiding the parameters of intensive treatments for AN. We therefore explored clinicians’ perspectives and experience of supporting adults with severe AN in intensive settings.

Methods

We conducted twenty one semi-structured interviews with clinicians who deliver intensive treatments (i.e., IP and/or DP) for individuals with severe AN across four specialist Eating Disorder Services in the United Kingdom between May 2020 and June 2021. We asked clinicians about their views and experiences of supporting individuals with severe AN in intensive treatment settings and the challenges and opportunities associated with IP and DP treatment. Data were analysed using reflexive thematic analysis supported by NVivo software.

Results

Five broad and interrelated themes were identified: (1) Intensive Support; (2) The Severity of Patients’ Illnesses; (3) Hope and Recovery; (4) Which Treatment When; (5) Limited Resources; and (6) Carer Burden. We identified various similarities between the two intensive treatment approaches, including the value of intensive and multidisciplinary support and carer involvement, and the challenge of managing complex and unique needs in resource-limited intensive settings. We also found differences in the relationship of treatment to patients’ home environments, the necessity of patient motivation, and the management of risk.

Conclusions

Both intensive treatment settings are valued by clinicians; however, there are unique challenges and opportunities for supporting individuals with severe AN within each. Our findings suggest DP treatment may be used as an alternative to IP treatment for individuals with severe AN. However, clear questions remain over which intensive treatment setting is best suited to which patient when and should be the focus of future research.
Cellular localization of p-tau217 in brain and its association with p-tau217 plasma levels
Authors: Wennström Malin , Janelidze Shorena , Nilsson K. Peter R. ,   The Netherlands Brain Bank, Serrano Geidy E. , Beach Thomas G. , Dage Jeffrey L. , Hansson Oskar
Published: January 2022

Recent studies highlight phosphorylated tau (p-tau) at threonine tau 217 (p-tau217) as a new promising plasma biomarker for pathological changes implicated in Alzheimer’s disease (AD), but the specific brain pathological events related to the alteration in p-tau217 plasma levels are still largely unknown. Using immunostaining techniques of postmortem AD brain tissue, we show that p-tau217 is found in neurofibrillary tangles (NFTs) and neuropil threads that are also positive for p-tau181, 202, 202/205, 231, and 369/404. The p-tau217, but not the other five p-tau variants, was also prominently seen in vesicles structure positive for markers of granulovacuolar degeneration bodies and multi-vesicular bodies. Further, individuals with a high likelihood of AD showed significantly higher p-tau217 area fraction in 4 different brain areas (entorhinal cortex, inferior temporal gyrus, and superior frontal gyrus) compared to those with Primary age related tauopathy or other non-AD tauopathies. The p-tau217 area fraction correlated strongly with total amyloid-beta (Aβ) and NFT brain load when the whole group was analyzed. Finally, the mean p-tau217 area fraction correlated significantly with p-tau217 concentrations in antemortem collected plasma specifically in individuals with amyloid plaques and not in those without amyloid plaques. These studies highlight differences in cellular localization of different p-tau variants and suggest that plasma levels of p-tau217 reflect an accumulation of p-tau217 in presence of Aβ plaque load.
Land-use intensification differentially affects bacterial, fungal and protist communities and decreases microbiome network complexity
Authors: Romdhane Sana , Spor Aymé , Banerjee Samiran , Breuil Marie-Christine , Bru David , Chabbi Abad , Hallin Sara , van der Heijden Marcel G. A. , Saghai Aurélien , Philippot Laurent
Published: January 2022

Background

Soil microbial communities are major drivers of cycling of soil nutrients that sustain plant growth and productivity. Yet, a holistic understanding of the impact of land-use intensification on the soil microbiome is still poorly understood. Here, we used a field experiment to investigate the long-term consequences of changes in land-use intensity based on cropping frequency (continuous cropping, alternating cropping with a temporary grassland, perennial grassland) on bacterial, protist and fungal communities as well as on their co-occurrence networks.

Results

We showed that land use has a major impact on the structure and composition of bacterial, protist and fungal communities. Grassland and arable cropping differed markedly with many taxa differentiating between both land use types. The smallest differences in the microbiome were observed between temporary grassland and continuous cropping, which suggests lasting effects of the cropping system preceding the temporary grasslands. Land-use intensity also affected the bacterial co-occurrence networks with increased complexity in the perennial grassland comparing to the other land-use systems. Similarly, co-occurrence networks within microbial groups showed a higher connectivity in the perennial grasslands. Protists, particularly Rhizaria, dominated in soil microbial associations, as they showed a higher number of connections than bacteria and fungi in all land uses.

Conclusions

Our findings provide evidence of legacy effects of prior land use on the composition of the soil microbiome. Whatever the land use, network analyses highlighted the importance of protists as a key element of the soil microbiome that should be considered in future work. Altogether, this work provides a holistic perspective of the differential responses of various microbial groups and of their associations to agricultural intensification.
Is it possible to recruit HIV self-test users for an anonymous phone-based survey using passive recruitment without financial incentives? Lessons learned from a pilot study in Côte d’Ivoire
Authors: Simo Fotso Arlette , Kra Arsène Kouassi , Maheu-Giroux Mathieu , Boye Sokhna , d’Elbée Marc , Ky-zerbo Odette , Rouveau Nicolas , N’Guessan Noel Kouassi , Geoffroy Olivier , Vautier Anthony , Larmarange Joseph ,   for the ATLAS Team
Published: January 2022

Background

Due to the discreet and private nature of HIV self-testing (HIVST), it is particularly challenging to monitor and assess the impacts of this testing strategy. To overcome this challenge, we conducted a study in Côte d’Ivoire to characterize the profile of end users of HIVST kits distributed through the ATLAS project (AutoTest VIH, Libre d’Accéder à la connaissance de son Statut). Feasibility was assessed using a pilot phone-based survey.

Methods

The ATLAS project aims to distribute 221300 HIVST kits in Côte d’Ivoire from 2019 to 2021 through both primary (e.g., direct distribution to primary users) and secondary distribution (e.g., for partner testing). The pilot survey used a passive recruitment strategy—whereby participants voluntarily called a toll-free survey phone number—to enrol participants. The survey was promoted through a sticker on the HIVST instruction leaflet and hotline invitations and informal promotion by HIVST kit-dispensing agents. Importantly, participation was not financially incentivized, even though surveys focussed on key populations usually use incentives in this context.

Results

After a 7-month period in which 25,000 HIVST kits were distributed, only 42 questionnaires were completed. Nevertheless, the survey collected data from users receiving HIVST kits via both primary and secondary distribution (69% and 31%, respectively).

Conclusion

This paper provides guidance on how to improve the design of future surveys of this type. It discusses the need to financial incentivize participation, to reorganize the questionnaire, the importance of better informing and training stakeholders involved in the distribution of HIVST, and the use of flyers to increase the enrolment of users reached through secondary distribution.
Linoleic acid as corpse recognition signal in a social aphid
Authors: Shibao Harunobu , Kutsukake Mayako , Matsuyama Shigeru , Fukatsu Takema
Published: January 2022

Social insect colonies constantly produce dead insects, which cause sanitary problems and potentially foster deadly pathogens and parasites. Hence, many social insects have evolved a variety of hygienic behaviors to remove cadavers from the colonies. To that end, they have to discriminate dead insects from live ones, where chemical cues should play important roles. In ants, bees and termites, such corpse recognition signals, also referred to as “death pheromones” or “necromones”, have been identified as fatty acids, specifically oleic acid and/or linoleic acid. Meanwhile, there has been no such report on social aphids. Here we attempted to identify the “death pheromone” of a gall-forming social aphid with second instar soldiers, Tuberaphis styraci, by making use of an artificial diet rearing system developed for this species. On the artificial diet plates, soldiers exhibited the typical cleaning behavior, pushing colony wastes with their heads continuously, against dead aphids but not against live aphids. GC-MS and GC-FID analyses revealed a remarkable increase of linoleic acid on the body surface of the dead aphids in comparison with the live aphids. When glass beads coated with either linoleic acid or body surface extract of the dead aphids were placed on the artificial diet plates, soldiers exhibited the cleaning behavior against the glass beads. A series of behavioral assays showed that (i) soldiers exhibit the cleaning behavior more frequently than non-soldiers, (ii) young soldiers perform the cleaning behavior more frequently than old soldiers, and (iii) the higher the concentration of linoleic acid is, the more active cleaning behavior is induced. Analysis of the lipids extracted from the aphids revealed that linoleic acid is mainly derived from phospholipids that constitute the cell membranes. In conclusion, we identified linoleic acid as the corpse recognition factor of the social aphid T. styraci. The commonality of the death pheromones across the divergent social insect groups (Hymenoptera, Blattodea and Hemiptera) highlights that these unsaturated fatty acids are generally produced by enzymatic autolysis of cell membranes after death and therefore amenable to utilization as a reliable signal of dead insects.
Sweep-tracing algorithm: in silico slip crystallography and tension-compression asymmetry in BCC metals
Authors: Bertin Nicolas , Zepeda-Ruiz L.A. , Bulatov V.V.
Published: January 2022

Direct Molecular Dynamics (MD) simulations are being increasingly employed to model dislocation-mediated crystal plasticity with atomic resolution. Thanks to the dislocation extraction algorithm (DXA), dislocation lines can be now accurately detected and positioned in space and their Burgers vector unambiguously identified in silico, while the simulation is being performed. However, DXA extracts static snapshots of dislocation configurations that by themselves present no information on dislocation motion. Referred to as a sweep-tracing algorithm (STA), here we introduce a practical computational method to observe dislocation motion and to accurately quantify its important characteristics such as preferential slip planes (slip crystallography). STA reconnects pairs of successive snapshots extracted by DXA and computes elementary slip facets thus precisely tracing the motion of dislocation segments from one snapshot to the next. As a testbed for our new method, we apply STA to the analysis of dislocation motion in large-scale MD simulations of single crystal plasticity in BCC metals. We observe that, when the crystal is subjected to uniaxial deformation along its [001] axis, dislocation slip predominantly occurs on the {112} maximum resolved shear stress plane under tension, while in compression slip is non-crystallographic (pencil) resulting in asymmetric mechanical response. The marked contrast in the observed slip crystallography is attributed to the twinning/anti-twinning asymmetry of shears in the {112} planes relatively favoring dislocation motion in the twinning sense while hindering dislocations from moving in the anti-twinning directions.
Parallel-GPU-accelerated adaptive mesh refinement for three-dimensional phase-field simulation of dendritic growth during solidification of binary alloy
Authors: Sakane Shinji , Takaki Tomohiro , Aoki Takayuki
Published: January 2022

In the phase-field simulation of dendrite growth during the solidification of an alloy, the computational cost becomes extremely high when the diffusion length is significantly larger than the curvature radius of a dendrite tip. In such cases, the adaptive mesh refinement (AMR) method is effective for improving the computational performance. In this study, we perform a three-dimensional dendrite growth phase-field simulation in which AMR is implemented via parallel computing using multiple graphics processing units (GPUs), which provide high parallel computation performance. In the parallel GPU computation, we apply dynamic load balancing to parallel computing to equalize the computational cost per GPU. The accuracy of an AMR refinement condition is confirmed through the single-GPU computations of columnar dendrite growth during the directional solidification of a binary alloy. Next, we evaluate the efficiency of dynamic load balancing by performing multiple-GPU parallel computations for three different directional solidification simulations using a moving frame algorithm. Finally, weak scaling tests are performed to confirm the parallel efficiency of the developed code.
Pinning of dislocations in disordered alloys: effects of dislocation orientation
Authors: Zaiser Michael , Wu Ronghai
Published: January 2022

The current interest in compositionally complex alloys including so called high entropy alloys has caused renewed interest in the general problem of solute hardening. It has been suggested that this problem can be addressed by treating the alloy as an effective medium containing a random distribution of dilatation and compression centers representing the volumetric misfit of atoms of different species. The mean square stresses arising from such a random distribution can be calculated analytically, their spatial correlations are strongly anisotropic and exhibit long-range tails with third-order power law decay (Geslin and Rodney 2021; Geslin et al. 2021). Here we discuss implications of the anisotropic and long-range nature of the correlation functions for the pinning of dislocations of arbitrary orientation. While edge dislocations are found to follow the standard pinning paradigm, for dislocations of near screw orientation we demonstrate the co-existence of two types of pinning energy minima.
Machine learning-assisted high-throughput exploration of interface energy space in multi-phase-field model with CALPHAD potential
Authors: Attari Vahid , Arroyave Raymundo
Published: January 2022

Computational methods are increasingly being incorporated into the exploitation of microstructure–property relationships for microstructure-sensitive design of materials. In the present work, we propose non-intrusive materials informatics methods for the high-throughput exploration and analysis of a synthetic microstructure space using a machine learning-reinforced multi-phase-field modeling scheme. We specifically study the interface energy space as one of the most uncertain inputs in phase-field modeling and its impact on the shape and contact angle of a growing phase during heterogeneous solidification of secondary phase between solid and liquid phases. We evaluate and discuss methods for the study of sensitivity and propagation of uncertainty in these input parameters as reflected on the shape of the Cu6Sn5 intermetallic during growth over the Cu substrate inside the liquid Sn solder due to uncertain interface energies. The sensitivity results rank σSI,σIL, and σIL, respectively, as the most influential parameters on the shape of the intermetallic. Furthermore, we use variational autoencoder, a deep generative neural network method, and label spreading, a semi-supervised machine learning method for establishing correlations between inputs of outputs of the computational model. We clustered the microstructures into three categories (“wetting”, “dewetting”, and “invariant”) using the label spreading method and compared it with the trend observed in the Young-Laplace equation. On the other hand, a structure map in the interface energy space is developed that shows σSI and σSL alter the shape of the intermetallic synchronously where an increase in the latter and decrease in the former changes the shape from dewetting structures to wetting structures. The study shows that the machine learning-reinforced phase-field method is a convenient approach to analyze microstructure design space in the framework of the ICME.
Examining the vintage effect in hedonic pricing using spatially varying coefficients models: a case study of single-family houses in the Canton of Zurich
Authors: Dambon Jakob A. , Fahrländer Stefan S. , Karlen Saira , Lehner Manuel , Schlesinger Jaron , Sigrist Fabio , Zimmermann Anna
Published: January 2022

This article examines the spatially varying effect of age on single-family house (SFH) prices. Age has been shown to be a key driver for house depreciation and is usually associated with a negative price effect. In practice, however, there exist deviations from this behavior which are referred to as vintage effects. We estimate a spatially varying coefficients (SVC) model to investigate the spatial structures of vintage effects on SFH pricing. For SFHs in the Canton of Zurich, Switzerland, we find substantial spatial variation in the age effect. In particular, we find a local, strong vintage effect primarily in urban areas compared to pure depreciative age effects in rural locations. Using cross validation, we assess the potential improvement in predictive performance by incorporating spatially varying vintage effects in hedonic models. We find a substantial improvement in out-of-sample predictive performance of SVC models over classical spatial hedonic models.
Prevalence and clinical implication of adverse childhood experiences and their association with substance use disorder among patients with schizophrenia
Authors: Yousef Amira Mohamed , Mohamed Amany Elshabrawy , Eldeeb Seham Mahmoud , Mahdy Rehab S.
Published: January 2022

Background

Adverse childhood experiences (ACEs) and substance use disorder (SUD) are well-known risk factors for psychosis and dramatically affect schizophrenia. In this research, we aimed to measure the prevalence of adverse childhood experiences and substance use disorder in patients with schizophrenia and assess the effect of ACEs on the clinical presentation and overall functioning and the association between them and SUD in patients with schizophrenia. A cross-sectional study included a random sample of 165 schizophrenic patients who were examined by doing drug screen in urine, structured questionnaire to collect Socioeconomic characteristics, history of schizophrenia, structured clinical interview for Diagnostic and Statistical Manual of Mental Disorders-fifth edition, Positive and Negative Syndrome Scale (PANSS), Adverse Childhood Experiences International Questionnaire (ACE-IQ), World Health Organization Disability Assessment Schedule 2.0, compliance rating scale, addiction severity index fifth edition (ASI) for individuals with positive urine drug screen.

Results

Only 14.4% of the studied patients had no adverse childhood experiences. The prevalence of positive substance abuse screening was 18.2%. There were statistically significant negative correlations between total ACE score and educational level, socioeconomic level, and the onset of schizophrenia. On the other hand, statistically significant positive correlations were found between the total ACE score and PANSS score and ASI score. The first most frequent ACE was significantly associated with female gender, lower education levels, low and middle socioeconomic classes, lifetime substance use, smokers, and positive drug screening. Emotional neglect and contact sexual abuse were significantly associated with positive drug screening. At the same time, Physical abuse was significantly associated with both lifetime substance use and positive drug screening.

Conclusion

The current study’s findings indicate that childhood adverse experiences and substance abuse are prevalent problems in patients with schizophrenia. Given that there is an association between both issues, they may affect the symptomatology of the disorder, the prognosis, and the therapeutic plan. It is advised that a greater emphasis on and identification of childhood trauma and drug use disorder may be a necessary step in assessing patients with schizophrenia.
Concurrent pulmonary arteriovenous malformation and pulmonary embolism causing stroke: a therapeutic dilemma
Authors: Cha Jung Guen , Hong Jihoon
Published: January 2022

Background

As pulmonary arteriovenous malformation (PAVM) include a right-to-left shunt, it can be accompanied by fatal complications such as stroke and brain abscess due to paradoxical embolism. A concurrent PAVM and pulmonary embolism (PE) is a rare condition. Therefore, the sequence of management has not been established.

Case presentation

A 62-year-old female patient was transferred to our hospital with a sporadic simple PAVM and concurrent bilateral PE. On chest computed tomography (CT), the acute PE was extended to the segmental pulmonary artery where the feeding artery of PAVM originated. Despite the anticoagulation, the patient complained of left sided weakness on the fifth day of admission, and magnetic resonance imaging revealed an acute infarction in the right lateral thalamus, which was thought to be caused by paradoxical embolism. This situation could lead to a dilemma between the risk of thrombus migration during PAVM embolization and another embolic event due to delayed shunt occlusion during anticoagulation. After a multidisciplinary discussion, a delayed endovascular embolization was performed for PAVM after confirming the complete resolution of PE with 4 months of anticoagulation. The cause of PE in this patient was eventually diagnosed as antiphospholipid syndrome.

Conclusion

The authors reported a rare case of concurrent PAVM and PE that led to an embolic stroke during hospitalization. This patient was managed with delayed endovascular embolization for PAVM after an anticoagulation for PE and stroke. It is thought to be valuable in deciding for a treatment plan for this rare condition.
Alternative pathways for hydrogen sink originated from the ruminal fermentation of carbohydrates: Which microorganisms are involved in lowering methane emission?
Authors: Pereira Ana Margarida , de Lurdes Nunes Enes Dapkevicius Maria , Borba Alfredo E. S.
Published: January 2022

Agriculture is responsible for a great share of the anthropogenic sources of greenhouse gases that, by warming the earth, threaten its biodiversity. Among greenhouse gas emissions, enteric CH4 from livestock is an important target to slow down climate changes. The CH4 is originated from rumen fermentation and its concentration is affected by several factors, including genetics and nutrition. Ruminants have an extraordinary symbiosis with microorganisms (bacteria, fungi, and protozoa) that ferment otherwise indigestible carbohydrates, from which they obtain energy to grow and continue actively producing, among other products, volatile fatty acids, CO2 and H2. Detrimental ruminal accumulation of H2 is avoided by methanogenesis carried out by Archaea methanogens. Importantly, methanogenesis is not the only H2 sink pathway. In fact, other bacteria can reduce substrates using metabolic hydrogen formed during carbohydrate fermentation, namely propionate production and reductive acetogenesis, thus lowering the CH4 produced. Although the complexity of rumen poses challenges to mitigate CH4 production, the emergence of sequencing techniques that allow the study of microbial communities, gene expression, and metabolome are largely contributing to unravel pathways and key players in the rumen. Indeed, it is now recognized that in vivo emissions of CH4 are correlated to microbial communities, and particularly with the abundance of methanogens, several bacterial groups, and  their genes. The goal of CH4 mitigation is to work in favor of the natural processes, without compromising rumen function, animal health, and productivity. Notwithstanding, the major challenge continues to be the feasibility and affordability of the proposed solutions.
Dynamics of indigenous community’s food and culture in the time of climate change in the Himalayan region
Authors: Das Suraj , Mishra Anindya Jayanta
Published: January 2022

Global climate change has become the most significant challenge of modern times, confronting the lives and security of vulnerable societies around the world. The anticipated impact of climatic variability will be severe on local communities, particularly those residing near high-risk prone zones such as coastal areas and mountain regions. The indigenous knowledge and locally-held beliefs act as a refuge, which also prompt and prohibit the responsiveness towards climatic instabilities. Subsequently, ensuring food and nutritional security is the primary task of strategy makers. Hence, comprehensive knowledge of the indigenous traditional food habits and cultural values, beliefs, and gendered norms need to be explored on a priority basis to address the adverse impact of environmental changes, emphasizing the urgency of the Himalayan societies. Despite that, the integration of indigenous knowledge is not on the priority list of the researcher. Thus, this article reviews the existing literature on customary food habits to analyze the bidirectional association between climate change and the dietary practice of the indigenous communities for adaptation policy. PRISMA Statement technique is used for a systematic review of Scopus and Web of Science databases identified 24 related studies from 14 countries, with a specific focus on the Himalayan region, which resulted into four themes viz. impact of climatic variability of indigenous societies, the impact of climate change on community’s customary food beliefs, the impact of climate change on gender defined norms, climate change adaption strategies. The findings show that the current literature has failed to include the socio-ecological beliefs of traditional communities associated with dietary habits. Thus, the focus should be given to integrate the locally held beliefs of customary societies for the successful adoption of climate change adaptation and food security programs.
The key characteristics of project-based learning: how teachers implement projects in K-12 science education
Authors: Markula Anette , Aksela Maija
Published: January 2022

The aim of this multiple-case study was to research the key characteristics of project-based learning (PBL) and how teachers implement them within the context of science education. K-12 science teachers and their students’ videos, learning diaries and online questionnaire answers about their biology related PBL units, within the theme nature and environment, were analysed using deductive and inductive content analysis (n = 12 schools). The studied teachers are actively engaged in PBL as the schools had participated voluntarily in the international StarT programme of LUMA Centre Finland. The results indicate that PBL may specifically promote the use of collaboration, artefacts, technological tools, problem-centredness, and certain scientific practices, such as carrying out research, presenting results, and reflection within science education. However, it appeared that driving questions, learning goals set by students, students’ questions, the integrity of the project activities, and using the projects as a means to learn central content, may be more challenging to implement. Furthermore, although scientific practices had a strong role in the projects, it could not be defined how strongly student-led the inquiries were. The study also indicated that students and teachers may pay attention to different aspects of learning that happen through PBL. The results contribute towards a deeper understanding of the possibilities and challenges related to implementation of PBL and using scientific practices in classrooms. Furthermore, the results and the constructed framework of key characteristics can be useful in promoting research-based implementation and design of PBL science education, and in teacher training related to it.
The rising burden of invasive fungal infections in COVID-19, can structured CT thorax change the game
Authors: Dubey Roopak , Sen Kamal Kumar , Mohanty Sudhansu Sekhar , Panda Sangram , Goyal Mayank , Menon Sreedhar Mohan
Published: January 2022

Background

The occurrence of invasive fungal infections in COVID-19 patients is on surge in countries like India. Several reports related to rhino-nasal-sinus mucormycosis in COVID patients have been published in recent times; however, very less has been reported about invasive pulmonary fungal infections caused mainly by mucor, aspergillus or invasive candida species. We aimed to present 6 sputum culture proved cases of invasive pulmonary fungal infection (four mucormycosis and two invasive candidiasis) in COVID patients, the clues for the diagnosis of fungal invasion as well as difficulties in diagnosing it due to superimposed COVID imaging features.

Case presentation

The HRCT imaging features of the all 6 patients showed signs of fungal invasion in the form of cavities formation in the pre-existing reverse halo lesions or development of new irregular margined soft tissue attenuating growth within the pre-existing or in newly formed cavities. Five out of six patients were diabetics. Cavities in cases 1, 2, 3 and 4 of mucormycosis were aggressive and relatively larger and showed relatively faster progression into cavities in comparison with cases 5 and 6 of invasive candidiasis.

Conclusion

In poorly managed diabetics or with other immunosuppressed conditions, invasive fungal infection (mucormycosis, invasive aspergillosis and invasive candidiasis) should be considered in the differential diagnosis of cavitary lung lesions.
Ameliorative effect of ethanolic extract of Limnophila rugosa (Scrophulariaceae) in paracetamol- and carbon tetrachloride-induced hepatotoxicity in rats
Authors: Hota R. N. , Nanda B. K. , Behera B. R. , Bose A.
Published: January 2022

Background

Limnophila rugosa (Scrophulariaceae) is a perennial aquatic plant used as a diuretic and digestive tonic as well as in the treatment of diarrhea, dysentery, dyspepsia and urinary ailments. Genus Limnophila has been reported as hepatoprotective. The present study was undertaken to evaluate the hepatoprotective activity of the ethanolic extract of L. rugosa aerial part in paracetamol- and carbon tetrachloride-induced (CCl4) hepatotoxicity in albino Wistar rats. Ethanolic extract was subjected to high-performance liquid chromatography (HPLC) analysis for the estimation of phenolic and flavonoid compounds and gas chromatography–mass spectrometry (GC–MS) analysis for phytochemical analysis. The in vitro antioxidant activity was carried out by 2,2-diphenyl-1-picrylhydrazyl, nitric oxide radical and hydrogen peroxide assay. Hepatoprotective potential of L. rugosa was studied in paracetamol (750 mg/mg)- and CCl4 (1.25 ml/kg)-induced liver damage in albino rats at dose 200 and 300 mg/kg using silymarin (100 mg/kg) as standard. Lipid peroxidation, superoxide dismutase (SOD), catalase (CAT) and glutathione (GSH) were determined in liver tissue homogenate. Serum biochemical and histopathological examination was performed. Molecular docking analysis was performed to understand the molecular mechanism of hepatoprotective activity.

Results

HPLC analysis revealed predominance of rutin. GC–MS analysis revealed camphor as principal component. Ethanolic extract exhibited significant concentration-dependent scavenging efficacy. The altered biochemical chemical parameters: aspartate aminotransferase, alanine aminotransferase, alkaline phosphatase, bilirubin, cholesterol, albumin, globulin and total protein, were significantly improved at 200 and 300 mg/kg in experimental rats. Extract signified hepatoprotective by decreasing lipid peroxidation and upregulating SOD, CAT and GSH. The findings were well supported by histological analysis. 2-Butyl-2, 7-octadien-1-ol (-5.8) and camphor (-4.8) gave the highest docking score on the transforming growth factor-β1.

Conclusions

The ameliorative effect of L. rugosa in the rat model of hepatotoxicity could be attributed to its antioxidant potential and bioactive principles such as betulin, 5-hydroxy-6,7,4′-trimethoxyflavone (salvigenin), betulinic acid, ursolic acid, 3-octanol, acetophenone, anisylacetone, caryophyllene, cis-anethole and the compounds camphor and 2-butyl-2,7-octadien-1-ol identified from GC–MS analysis.
Acoustic characteristics of voice and speech in Arabic-speaking stuttering children
Authors: Elsherbeny Marwa , Baz Hemmat , Afsah Omayma
Published: January 2022

Background

Using different methodologies, several researchers have reported certain acoustical and physiological differences between fluent utterances of stutterers and normally fluent speakers. The aim of this study was to determine acoustic characteristics of voice and speech in Arabic-speaking stuttering children in comparison to normal children and correlate these characteristics with stuttering severity. A sample of 80 Arabic-speaking Egyptian children (including 40 typically developing children and 40 stuttering children) in the age range 5–8 years were subjected to acoustic analysis of voice and speech using the Praat software.

Results

The stuttering children showed significantly higher values of jitter and shimmer in prolonged /a/ vowel sample, as compared to the normal group. This may reflect the subtle differences in laryngeal functioning or in the complex interaction among the laryngeal, respiratory, and the vocal tract systems in stuttering children. Both jitter and shimmer of prolonged /a/ vowel demonstrated significant positive moderate correlation with stuttering severity as assessed by SSI3. F0 was significantly higher in females than in males, both in normal and stuttering children.

Conclusions

The present study revealed significant differences in the acoustic parameters of voice and speech between Arabic-speaking stuttering children and normal children. Some of these acoustic parameters were significantly correlated with stuttering severity. Acoustic analysis can be used as simple, quick, and cheap tool for assessment of stuttering in children and might be a valuable addition to the diagnostic set for assessment of stuttering severity.
Wave-equation diffraction imaging using pseudo dip-angle gather
Authors: Liu Lu , Ma Yue , Zhao Yang , Luo Yi
Published: January 2022

Diffraction images can directly indicate local heterogeneities, such as faults, fracture zones, and erosional surfaces, that are of high interest in seismic interpretation and unconventional reservoir development. We have adopted a new tool called pseudo dip-angle gather (PDAG) for imaging diffractors using the wave equation. PDAG has significantly lower computational cost compared to the classic dip-angle gather (DAG) due to the use of plane-wave gathers, a fast local Radon transform algorithm, and a one-side decomposition assumption. Pseudo dip angle is measured from the vertical axis to the bisector of the plane-wave surface incident angle and scattered wave-propagation angle. PDAG is generated by choosing the zero lag of the correlation of the plane-wave source wavefields and the decomposed receiver wavefields. It reveals diffraction and reflection patterns similar to DAG, that is, diffractions spreading as a flat event and reflections focused on a specular angle, whereas they may have dissimilar coverage for diffraction and different focused locations for reflection compared to that of DAG. A windowed median filter is then applied to each PDAG for extracting the diffraction energy and suppressing the focused reflection energy. In addition, the stacked PDAG can be used to evaluate the migration accuracy by measuring the flatness of the image gathers. Numerical tests on synthetic and field data sets demonstrate that our method can efficiently produce accurate results for diffraction images.