bluuebunny/crossref_metadata_2025 huggingface dataset:
Trafficking of the glutamate transporter is impaired in LRRK2-related Parkinson’s disease
Authors: Iovino Ludovica , Giusti Veronica , Pischedda Francesca , Giusto Elena , Plotegher Nicoletta , Marte Antonella , Battisti Ilaria , Di Iacovo Angela , Marku Algerta , Piccoli Giovanni , Bandopadhyay Rina , Perego Carla , Bonifacino Tiziana , Bonanno Giambattista , Roseti Cristina , Bossi Elena , Arrigoni Giorgio , Bubacco Luigi , Greggio Elisa , Hilfiker Sabine , Civiero Laura
Published: August 2021

The Excitatory Amino Acid Transporter 2 (EAAT2) accounts for 80 % of brain glutamate clearance and is mainly expressed in astrocytic perisynaptic processes. EAAT2 function is finely regulated by endocytic events, recycling to the plasma membrane and degradation. Noteworthy, deficits in EAAT2 have been associated with neuronal excitotoxicity and neurodegeneration. In this study, we show that EAAT2 trafficking is impaired by the leucine-rich repeat kinase 2 (LRRK2) pathogenic variant G2019S, a common cause of late-onset familial Parkinson’s disease (PD). In LRRK2 G2019S human brains and experimental animal models, EAAT2 protein levels are significantly decreased, which is associated with elevated gliosis. The decreased expression of the transporter correlates with its reduced functionality in mouse LRRK2 G2019S purified astrocytic terminals and in Xenopus laevis oocytes expressing human LRRK2 G2019S. In LRRK2 G2019S knockin mouse brain, the correct surface localization of the endogenous transporter is impaired, resulting in its interaction with a plethora of endo-vesicular proteins. Mechanistically, we report that pathogenic LRRK2 kinase activity delays the recycling of the transporter to the plasma membrane via Rabs inactivation, causing its intracellular relocalization and degradation. Taken together, our results demonstrate that pathogenic LRRK2 interferes with the physiology of EAAT2, pointing to extracellular glutamate overload as a possible contributor to neurodegeneration in PD.
A toolbox for studying cortical physiology in primates
Authors: Khateeb Karam , Bloch Julien , Zhou Jasmine , Rahimi Mona , Griggs Devon J. , Kharazia Viktor N. , Le Min N. , Wang Ruikang , Yazdan-Shahmorad Azadeh
Published: August 2021

Lesioning and neurophysiological studies have facilitated the elucidation of cortical functions and mechanisms of functional recovery following injury. Clinical translation of such studies is contingent on their employment in non-human primates (NHPs), yet tools for monitoring and modulating cortical physiology are incompatible with conventional NHP lesioning techniques. To address these challenges, we developed a toolbox demonstrated in seven macaques. We introduce the photothrombotic method to induce focal cortical lesions alongside a quantitative model for the design of lesion profiles based on experimental needs. Large-scale (∼5 cm2) vascular and neural dynamics can be monitored and lesion induction can be validated in vivo with optical coherence tomography angiography and our electrocorticographic array, the latter of which also enables testing stimulation-based interventions. By combining optical and electrophysiological techniques in NHPs, we can enhance our understanding of cortical functions, investigate functional recovery mechanisms, integrate physiological and behavioral findings, and develop treatments for neurological disorders.
Analysis of markerless limb tracking reveals chronic and progressive motor deficits after a single closed head injury in mice
Authors: Lawless Siobhán , Kelley Craig , Nikulina Elena , Havlicek David , Bergold Peter J.
Published: August 2021

Background

Acute injury following brain trauma may evolve into a chronic and progressive disorder. Chronic consequences of TBI have been understudied, in part, due to the lack of robust behavioral changes that are delayed in onset as well as chronic and progressive. Assessment of the chronic consequences of TBI also must distinguish behavioral changes that arises due to age vs those that develop and evolve over time due to injury.

Methods

C57BL/6 mice receive single closed head injury (CHI) and are analyzed at 7DPI, 14DPI or 180DPI on neurological severity score, open field, rotarod, beam walk, and simple-complex wheel.

Results

In the center of open field, injured mice have a turn bias at 180 days post-injury (DPI) not present at 7DPI. On rotarod, injured mice have shorter latencies at 7DPI, but not at 180DPI due to a large age effect in sham-injured mice. On beam walk at 180DPI, both sham and injured groups more slowly traverse a 2cm and 1cm beam than at 7DPI. Foot-faults show no significant effects of age or injury. On simple wheel injury affects speed at 14DPI with no effect on distance travelled. The lack of injury-dependent effects on beam walk or simple-complex wheel despite visible impairment was the impetus to assess limb position using Deeplabcut™ markerless tracking. Custom Python scripts were then developed to compute beam walk absition or foot fault severity (integral of limb displacement over time), and step frequency and quadrupedal limb coordination in simple-complex wheel. On the 2cm beam, age increased absition in all limbs of uninjured mice and both forelimbs of injured mice. On the 1cm beam both forelimbs and the left hindlimb of injured mice at 180DPI have larger absition than uninjured mice at 180DPI or injured mice at 7DPI. On a simple wheel injury affected speed only at 14 DPI with no effect on distance travelled. In contrast, injured mice at 180DPI developed a compensatory running strategy by increasing step frequency variability. This allowed injured mice at 180 DPI to reach sham-level quadrupedal limb coordination and improve running speed as compared to 14 DPI assessment. On complex wheel, injured mice at 180DPI do not express this compensatory running strategy resulting in impaired quadrupedal limb coordination. These data suggest chronic and progressive motor deficits of injured mice at 180DPI.

Conclusions

A single impact produces chronic and progressive motor deficits. Quantitative motor analysis using DeepLabCut™ tracking reveals deficits not seen using standard outcomes.
Catalase protects against non-enzymatic decarboxylations during photorespiration
Authors: Bao Han , Morency Matt , Rianti Winda , Saeheng Sompop , Roje Sanja , Weber Andreas P.M. , Walker Berkley
Published: August 2021

Photorespiration recovers carbon that would be otherwise lost following the oxygenation reaction of rubisco and production of glycolate. Photorespiration is essential in plants and recycles glycolate into usable metabolic products through reactions spanning the chloroplast, mitochondrion, and peroxisome. Catalase in peroxisomes plays an important role in this process by disproportionating H2O2 resulting from glycolate oxidation into O2 and water. We hypothesize that catalase in the peroxisome also protects against non-enzymatic decarboxylations between hydrogen peroxide and photorespiratory intermediates (glyoxylate and/or hydroxypyruvate). We test this hypothesis by detailed gas exchange and biochemical analysis of Arabidopsis thaliana mutants lacking peroxisomal catalase. Our results strongly support this hypothesis, with catalase mutants showing gas exchange evidence for an increased stoichiometry of CO2 release from photorespiration, specifically an increase in the CO2 compensation point, a photorespiratory-dependent decrease in the quantum efficiency of CO2 assimilation, increase in the 12CO2 released in a 13CO2 background and an increase in the post-illumination CO2 burst. Further metabolic evidence suggests this excess CO2 release occurred via the non-enzymatic decarboxylation of hydroxypyruvate. Specifically, the catalase mutant showed an accumulation of photorespiratory intermediates during a transient increase in rubisco oxygenation consistent with this hypothesis. Additionally, end products of alternative hypotheses explaining this excess release were similar between wild type and catalase mutants. Furthermore, the calculated rate of hydroxypyruvate decarboxylation in catalase mutant is much higher than that of glyoxylate decarboxylation. This work provides evidence that these non-enzymatic decarboxylation reactions, predominately hydroxypyruvate decarboxylation, can occur in vivo when photorespiratory metabolism is genetically disrupted.

One Sentence Summary

Catalase guards against additional carbon loss from photorespiration arising from non-enzymatic decarboxylations of photorespiratory intermediates.
Appetite regulating genes in zebrafish gut; a gene expression study
Authors: Ahi Ehsan Pashay , Brunel Mathilde , Tsakoumis Emmanouil , Chen Junyu , Schmitz Monika
Published: August 2021

The underlying molecular pathophysiology of feeding disorders, particularly in peripheral organs, is still largely unknown. A range of molecular factors encoded by appetite-regulating genes are already described to control feeding behaviour in the brain. However, the important role of the gastrointestinal tract in the regulation of appetite and feeding in connection to the brain has gained more attention in the recent years. An example of such inter-organ molecular interaction can be the signals mediated by leptin, a key regulator of body weight, food intake and metabolism, with conserved anorexigenic effects in vertebrates. Leptin signal functions through its receptor (lepr) in multiple organs, including the brain and the gastrointestinal tract. So far, the regulatory connections between leptin signal and other appetite-regulating genes remain unclear, particularly in the gastrointestinal system. In this study, we used a zebrafish mutant with impaired function of leptin receptor to explore gut expression patterns of appetite-regulating genes, under different feeding conditions (normal feeding, 7-day fasting, 2 and 6-hours refeeding). We compared these expression patterns to those from wild-type zebrafish, in order to identify leptin-dependent differentially expressed genes located in the zebrafish gut. We provide evidence that most appetite-regulating genes are expressed in the zebrafish gut. On one hand, we did not observed significant differences in the expression of orexigenic genes after changes in the feeding condition, and only one orexigenic gene, hcrt, displayed differential expression under impaired leptin signal. On the other hand, we found 8 anorexigenic genes in wild-types (cart2, cart3, dbi, oxt, nmu, nucb2a, pacap and pomc), as well as 4 genes in lepr mutants (cart3, kiss1, kiss1r and nucb2a), to be differentially expressed in the zebrafish gut after changes in feeding conditions. Most of these genes also showed significant differences in their expression between wild-type and lepr mutant in at least one of the feeding conditions. Finally, we observed that impaired leptin signalling influences potential regulatory connections between anorexigenic genes in zebrafish gut, particularly connections involving cart2, cart3, kiss1, kiss1r, mchr2, nmu, nucb2a and oxt. Altogether, these transcriptional changes propose a potential role of the gastrointestinal tract in the regulation of feeding through changes in expression of certain anorexigenic genes in zebrafish.
Physiological and Metabolomic Consequences of Reduced Expression of the Drosophila brummer Triglyceride Lipase
Authors: Nazario-Yepiz Nestor O. , Sobaberas Jaime Fernández , Lyman Roberta , Campbell Marion R. , Shankar Vijay , Anholt Robert R. H. , Mackay Trudy F. C.
Published: August 2021

Disruption of lipolysis has widespread effects on intermediary metabolism and organismal phenotypes. Defects in lipolysis can be modeled in Drosophila melanogaster through genetic manipulations of brummer (bmm), which encodes a triglyceride lipase orthologous to mammalian Adipose Triglyceride Lipase. RNAi-mediated knock-down of bmm in all tissues or metabolic specific tissues results in reduced locomotor activity, altered sleep patterns and reduced lifespan. Metabolomic analysis on flies in which bmm is downregulated reveals a marked reduction in medium chain fatty acids, long chain saturated fatty acids and long chain monounsaturated and polyunsaturated fatty acids, and an increase in diacylglycerol levels. Elevated carbohydrate metabolites and tricarboxylic acid intermediates indicate that impairment of fatty acid mobilization as an energy source may result in upregulation of compensatory carbohydrate catabolism. bmm downregulation also results in elevated levels of serotonin and dopamine neurotransmitters, possibly accounting for the impairment of locomotor activity and sleep patterns. Physiological phenotypes and metabolomic changes upon reduction of bmm expression show extensive sexual dimorphism. Altered metabolic states in the Drosophila model are relevant for understanding human metabolic disorders, since pathways of intermediary metabolism are conserved across phyla.
Larval ecology and bionomics of Anopheles funestus in highland and lowland sites in western Kenya
Authors: Debrah Isaiah , Afrane Yaw A. , Amoah Linda , Ochwedo Kevin O. , Mukabana Wolfgang R. , Zhong Daibin , Guofa Zhou , Lee Ming-Chieh , Onyango Shirley , Magomere Edwin O. , Atieli Harrysone , Githeko Andrew K , Yan Guiyun
Published: August 2021

Background

An. funestus is a major Afrotropical vector of human malaria. This study sought to investigate the larval ecology, sporozoite infection rates and blood meal sources of An. funestus in western Kenya.

Methods

Larval surveys were carried out in Bungoma (Highland) and Kombewa (lowland) of western Kenya. Aquatic habitats were identified, characterized, georeferenced and carefully examined for mosquito larvae and predators. Indoor resting mosquitoes were sampled using pyrethrum spray catches. Adults and larvae were morphologically and molecularly identified to species. Sporozoite infections and blood meal sources were detected using real-time PCR and ELISA respectively.

Results

Of the 151 aquatic habitats assessed, 62/80 (78%) in Bungoma and 58/71(82%) in Kombewa were positive for mosquito larvae. Of the 3,193 larvae sampled, An. funestus larvae constitute 38% (1224/3193). Bungoma recorded a higher number of An. funestus larvae (85%, 95%, CI, 8.722-17.15) than Kombewa (15%, 95%, CI, 1.33-3.91). Molecular identification of larvae showed that 89% (n=80) were An. funestus. Approximately 59%, 35% and 5% of An. funestus larvae co-existed with An. gambiae s.l, Culex spp and An. coustani in the same habitats respectively. Of 1,221 An. funestus s.l adults sampled, molecular identifications revealed that An. funestus constituted 87% (n=201) and 88% (n=179) in Bungoma and Kombewa, respectively. The Plasmodium falciparum sporozoite rate of An. funestus in Bungoma and Kombewa was 2% (3/174) and 1% (2/157), respectively, and the human blood index of An. funestus was 84% (48/57) and 89% (39/44) and for Bungoma and Kombewa, respectively.

Conclusion

Man-made ponds had the highest abundance of An. funestus larvae. Multiple regression and principal component analyses identified the distance to the nearest house as the key environmental factor associated with the abundance of An. funestus larvae in aquatic habitats. This study serves as a guide for the control of An. funestus and other mosquito species to complement existing vector control strategies.
The Evaluation of Acute Myeloid Leukaemia (AML) Blood Cell Detection Models Using Different YOLO Approaches
Authors: Naing Kaung Myat , Kittichai Veerayuth , Tongloy Teerawat , Chuwongin Santhad , Boonsang Siridech
Published: August 2021

This study proposes to evaluate the performance of Acute Myeloid Leukaemia (AML) blast cell detection models in microscopic examination images for faster diagnosis and disease monitoring. One of the popular deep learning algorithms such as You Only Look Once (YOLO) developed for object detection is the successful state-of-the-art algorithms in real-time object detection systems. We employ four versions of the YOLO algorithm: YOLOv3, YOLOv3-Tiny, YOLOv2 and YOLOv2-Tiny for detection of 15-class of AML blood cells in examination images. We also acquired the publicly available dataset from The Cancer Imaging Archive (TCIA), which consists of 18,365 expert-labelled single-cell images. Data augmentation techniques are additionally applied to enhance and balance the training images in the dataset. The overall results indicated that four types of YOLO approach have outstanding performances of more than 92% in precision and sensitivity. In comparison, YOLOv3 has more reliable performance than the other three approaches. Consistently, the AUC values for the four YOLO models are 0.969 (YOLOv3), 0.967 (YOLOv3-Tiny), 0.963 (YOLOv2), and 0.948 (YOLOv2-Tiny). Furthermore, we compare the best model’s performance between approaches that use the entire training dataset without using data augmentation techniques and image division with data augmentation techniques. Remarkably, by using 33.51 percent of the training data in model training, the prediction outcomes from the model that used image partitioning with data augmentation were similar to those obtained using the complete training dataset. This work potentially provides a beneficial digital rapid tool in the screening and evaluation of numerous haematological disorders.
Slightly different metabolomic profiles are associated with high or low weights duck foie gras
Authors: Lo Bara , Marty-Gasset Nathalie , Manse Hélène , Canlet Cécile , Domitile Renaud , Rémignon Hervé
Published: August 2021

Understanding the evolution of fatty liver metabolism of ducks is a recurrent issue for researchers and industry. Indeed, the increase in weight during the overfeeding period leads to an important change in the liver metabolism. However, liver weight is highly variable at the end of overfeeding within a batch of animals reared, force-fed and slaughtered in the same way. For this study, we performed a proton nuclear magnetic resonance (1H-NMR) analysis on two classes of fatty liver samples, called low-weight liver (weight between 550 and 599 g) and high-weight liver (weight above 700 g). The aim of this study was to identify the differences in metabolism between two classes of liver weight (low and high). Firstly, the results showed that increased liver weight is associated with higher glucose uptake leading to greater lipid synthesis. Secondly, this increase is probably also due to a decline in the level of export of triglycerides and cholesterol from the liver by maintaining them at high hepatic concentration levels. Finally, the increase in liver weight could lead to a significant decrease in the efficiency of aerobic energy metabolism associated with a significant increase in the level of oxidative stress.
Test-retest reproducibility of in vivo oscillating gradient and microscopic anisotropy diffusion MRI in mice at 9.4 Tesla
Authors: Rahman Naila , Xu Kathy , Omer Mohammad , Budde Matthew D. , Brown Arthur , Baron Corey A.
Published: August 2021

Background and Purpose

Microstructure imaging with advanced diffusion MRI (dMRI) techniques have shown increased sensitivity and specificity to microstructural changes in various disease and injury models. Oscillating gradient spin echo (OGSE) dMRI, implemented by varying the oscillating gradient frequency, and microscopic anisotropy (µA) dMRI, implemented via tensor valued diffusion encoding, may provide additional insight by increasing sensitivity to smaller spatial scales and disentangling fiber orientation dispersion from true microstructural changes, respectively. The aims of this study were to characterize the test-retest reproducibility of in vivo OGSE and µA dMRI metrics in the mouse brain at 9.4 Tesla and provide estimates of required sample sizes for future investigations.

Methods

Eight adult C57Bl/6 mice were scanned twice (5 days apart). Each imaging session consisted of multifrequency OGSE and µA dMRI protocols. Metrics investigated included µA, isotropic and anisotropic kurtosis, and the diffusion dispersion rate (Λ), which explores the power-law frequency dependence of mean diffusivity. The dMRI metric maps were analyzed with mean region-of-interest (ROI) and whole brain voxel-wise analysis. Bland-Altman plots and coefficients of variation (CV) were used to assess the reproducibility of OGSE and µA metrics. Furthermore, we estimated sample sizes required to detect a variety of effect sizes.

Results

Bland-Altman plots showed negligible biases between test and retest sessions. ROI-based CVs revealed high reproducibility for both µA (CVs < 8 %) and Λ (CVs < 15 %). Voxel-wise CV maps revealed high reproducibility for µA (CVs ∼ 10 %), but low reproducibility for OGSE metrics (CVs ∼ 50 %).

Conclusion

Most of the µA dMRI metrics are reproducible in both ROI-based and voxel-wise analysis, while the OGSE dMRI metrics are only reproducible in ROI-based analysis. µA and Λ may provide sensitivity to subtle microstructural changes (4 - 8 %) with feasible sample sizes (10 – 15).
Harmonisation of multi-site MRS data with ComBat
Authors: Bell Tiffany K. , Godfrey Kate J. , Ware Ashley L. , Yeates Keith Owen , Harris Ashley D.
Published: August 2021

Magnetic resonance spectroscopy (MRS) is a non-invasive neuroimaging technique used to measure brain chemistry in vivo and has been used to study the healthy brain as well as neuropathology in numerous neurological disorders. The number of multi-site studies using MRS are increasing; however, non-biological variability introduced during data collection across multiple sites, such as differences in scanner vendors and site-specific acquisition implementations for MRS, can obscure detection of biological effects of interest. ComBat is a data harmonisation technique that can remove non-biological sources of variance in multisite studies. It has been validated for use with structural and functional MRI metrics but not for MRS metabolites. This study investigated the validity of using ComBat to harmonize MRS metabolites for vendor and site differences. Analyses were performed using data acquired across 20 sites and included edited MRS for GABA+ (N=218) and macromolecule-suppressed GABA data (N=209), as well as standard PRESS data to quantify NAA, creatine, choline, and glutamate (N=195). ComBat harmonisation successfully mitigated vendor and site differences for all metabolites of interest. Moreover, significant associations were detected between sex and choline levels and between age and glutamate and GABA+ levels that were not detectable prior to harmonisation, confirming the importance of removing site and vendor effects in multi-site data. In conclusion, ComBat harmonisation can be successfully applied to MRS data in multi-site MRS studies.

Highlights

Multi-site MRS data contains sources of non-biological variance that can mask biological effects of interest.

ComBat data harmonisation successfully removes variance contributed by scanner and site differences.

Removal of this variance revealed biological effects that were previously not detected.

ComBat harmonisation can be successfully applied to MRS data in multi-site MRS studies
GlycoSHIELD: a versatile pipeline to assess glycan impact on protein structures
Authors: Gecht Michael , von Bülow Sören , Penet Camille , Hummer Gerhard , Hanus Cyril , Sikora Mateusz
Published: August 2021

More than 75% of surface and secreted proteins are modified by covalent addition of complex sugars through N- and O-glycosylation. Unlike proteins, glycans do not typically adopt specific secondary structures and remain very mobile, influencing protein dynamics and interactions with other molecules. Glycan conformational freedom impairs complete structural elucidation of glycoproteins. Computer simulations may be used to model glycan structure and dynamics. However, such simulations typically require thousands of computing hours on specialized supercomputers, thus limiting routine use. Here, we describe a reductionist method that can be implemented on personal computers to graft ensembles of realistic glycan conformers onto static protein structures in a matter of minutes. Using this open-source pipeline, we reconstructed the full glycan cover of SARS-CoV-2 Spike protein (S-protein) and a human GABAA receptor. Focusing on S-protein, we show that GlycoSHIELD recapitulates key features of extended simulations of the glycosylated protein, including epitope masking, and provides new mechanistic insights on N-glycan impact on protein structural dynamics.
Towards a genome sequence for every animal: where are we now?
Authors: Hotaling Scott , Kelley Joanna L. , Frandsen Paul B.
Published: August 2021

In less than 25 years, the field of animal genome science has transformed from a discipline seeking its first glimpses into genome sequences across the Tree of Life to a global enterprise with ambitions to sequence genomes for all of Earth’s eukaryotic diversity (1). As the field rapidly moves forward, it is important to take stock of the progress that has been made to best inform the discipline’s future. In this Perspective, we provide a contemporary, quantitative overview of animal genome sequencing. We identified the best available genome assemblies on GenBank, the world’s most extensive genetic database, for 3,278 unique animal species across 24 phyla. We assessed taxonomic representation, assembly quality, and annotation status for major clades. We show that while tremendous taxonomic progress has occurred, stark disparities in genomic representation exist, highlighted by a systemic overrepresentation of vertebrates and underrepresentation of arthropods. In terms of assembly quality, long-read sequencing has dramatically improved contiguity, whereas gene annotations are available for just 34.3% of taxa. Furthermore, we show that animal genome science has diversified in recent years with an ever-expanding pool of researchers participating. However, the field still appears to be dominated by institutions in the Global North, which have been listed as the submitting institution for 77% of all assemblies. We conclude by offering recommendations for how we can collectively improve genomic resource availability and value while also broadening global representation.

Significance statement

The field of animal genome science is rapidly developing, and efforts are underway to sequence genomes for all of Earth’s eukaryotic biodiversity. Here, we provide an overview of animal genome sequencing, with emphases on taxonomic representation, assembly quality, and geographic representation. We show that while a staggering 3,278 unique animal species have had their genomes sequenced, massive disparities exist in terms of the taxonomic groups receiving attention, the quality of the resources being produced, and the institutions driving the field. We highlight areas where improvements can be made, notably by continuing to increase the quality of genome assemblies, including by improving metadata and voucher specimen associations, and actively developing meaningful collaborations between researchers form the Global North and South.
University-wide chronotyping shows late-type students have lower grades, shorter sleep, poorer well-being, lower self-regulation, and more absenteeism
Authors: Yeo Sing Chen , Tan Jacinda , Lai Clin K.Y. , Lim Samantha , Chandramoghan Yuvan , Fung Fun Man , Chen Patricia , Strauman Timothy J. , Gooley Joshua J.
Published: August 2021

A person’s preferred timing of nocturnal sleep (chronotype) has important implications for cognitive performance. Students who prefer to sleep late may have a selective learning disadvantage for morning classes due to inadequate sleep and circadian desynchrony. Here, (1) we tested whether late-type students perform worse only for morning classes, and (2) we investigated factors that may contribute to their poorer academic achievement. Chronotype was determined objectively in 33,645 university students (early,n=3,965; intermediate,n=23,787; late,n=5,893) by analyzing the diurnal distribution of their logins on the university’s Learning Management System (LMS). Late-type students had lower grades than their peers for courses held at all different times of day, and during semesters when they had no morning classes. Actigraphy studies (n=261) confirmed LMS-derived chronotype was associated with students’ sleep patterns. Nocturnal sleep on school days was shortest in late-type students because they went to bed the latest and woke up early compared with non-school days. Surveys showed that late-type students had lower self-rated health and mood (n=357), and lower metacognitive self-regulation (n=752). Wi-Fi connection data for classrooms (n=17,356) revealed that late-type students had lower lecture attendance than their peers for classes held in both the morning and the afternoon. Our findings suggest that multiple factors converge to impair learning in late-type students. Shifting classes later can improve sleep and circadian synchrony in late-type students but is unlikely to eliminate the performance gap. Interventions that focus on improving students’ well-being and learning strategies may be important for addressing the late-type academic disadvantage.
A Herpes Simplex Virus Type-1-derived influenza vaccine induces balanced adaptive immune responses and protects mice from lethal influenza virus challenge
Authors: Rider Paul J.F. , Dulin Harrison , Uche Ifeanyi K. , McGee Michael C. , Breitenstein Blake , Tan Gene S. , Huang Weishan , Kousoulas Konstantin G. , Hai Rong
Published: August 2021

Influenza virus is a major respiratory viral pathogen responsible for the deaths of hundreds of thousands worldwide each year. Current vaccines provide protection primarily by inducing strain-specific antibody responses with the requirement of a match between vaccine strains and circulating strains. It has been suggested that anti-influenza T-cell responses, in addition to antibody responses may provide the broadest protection against different flu strains. Therefore, to address this urgent need, it is desirable to develop a vaccine candidate with an ability to induce balanced adaptive immunity including cell mediated immune responses. A live viral vector technology should exhibit safety, immunogenicity, effectiveness in the presence of pre-existing immunity, and the ability to induce mucosal immune responses. Here, we used VC2, an established Herpes Simplex Virus type 1 vaccine vector, to express the influenza HA protein. We show that this virus is capable of generating potent and specific anti-influenza humoral and cell-mediated immune responses. We further show that a single vaccination with the VC2-derived influenza vaccine protects mice from lethal challenge with influenza virus. Our data support the continued development of VC2-derived influenza vaccines for protection of human populations from both seasonal and pandemic strains of influenza. Finally, our results support the potential of VC2-derived vaccines as a platform for the rapid development of vaccines against emerging and established pathogens, particularly respiratory pathogens.
Distinct Roles of Dopamine D1 and D2 Receptor-expressing Neurons in the Nucleus Accumbens for a Strategy Dependent Decision Making
Authors: Nishioka Tadaaki , Macpherson Tom , Hamaguchi Kosuke , Hikida Takatoshi
Published: August 2021

To optimize decision making, animals need to execute not only a strategy to choose a good option but sometimes also one to avoid a bad option. A psychological study indicates that positive and negative information is processed in a different manner in the brain. The nucleus accumbens (NAc) contains two different types of neurons, dopamine D1 and D2 receptor-expressing neurons which are implicated in reward-based decision making and aversive learning. However, little is known about the neural mechanisms by which D1 or D2 receptor-expressing neurons in the NAc contribute to the execution of the strategy to choose a good option or one to avoid a bad option under decision making. Here, we have developed two novel visual discrimination tasks for mice to assess the strategy to choose a good option and one to avoid a bad option. By chemogenetically suppressing the subpopulation of the NAc neurons, we have shown that dopamine D2 receptor-expressing neurons in the NAc selectively contribute to the strategy to avoid a bad option under reward-based decision making. Furthermore, our optogenetic and calcium imaging experiments indicate that dopamine D2 receptor-expressing neurons are activated by error choices and the activation following an error plays an important role in optimizing the strategy in the next trial. Our findings suggest that the activation of D2 receptor-expressing neurons by error choices through learning enables animals to execute the appropriate strategy.
Robust model reference adaptive backstepping sliding-mode control for quadrotor attitude with disturbance observer
Authors: Ahmed Nigar , Chen Mou
Published: August 2021

Purpose

The purpose of this research paper is to design a disturbance observer-based control based on the robust model reference adaptive backstepping sliding-mode control for attitude quadrotor model subject to uncertainties and disturbances.

Design/methodology/approach

To estimate and reject the disturbance, a disturbance observer is designed for the exogenous disturbances with perturbation while a control criterion is developed for the tracking of desired output. To achieve the control performance, backstepping and sliding-mode control techniques are patched together to obtain robust chattering-free controller. Furthermore, a model reference adaptive control criterion is also combined with the design of robust control for the estimation and rejection of uncertainties and unmodeled dynamics of the attitude quadrotor.

Findings

The findings of this research work includes the design of a disturbance observer-based control for uncertain attitude quadrotor system with the ability of achieving tracking control objective in the presence of nonlinear exogenous disturbance with and without perturbation.

Practical implications

In practice, the quadrotor flight is opposed by different kinds of the disturbances. In addition, being an underactuated system, it is difficult to obtain an accurate mathematical model of quadrotor for the control design. Thus, a quadrotor model with uncertainties and disturbances is inevitable. Hence, it is necessary to design a control system with the ability to achieve the control objectives in the presence of uncertainties and disturbances.

Originality/value

Designing the control methods for quadrotor control without uncertainties and disturbances is a common practice. However, investigating the uncertain quadrotor plant in the presence of nonlinear disturbances is rarely taken into consideration for the control design. Hence, this paper presents a control algorithm to address the issues of the uncertainties and disturbances as well as investigate a control algorithm to achieve tracking performance.
Popular music in the youth culture of Hong Kong: the social functions of indie music
Authors: Lau Stella Sai-Chun
Published: August 2021

Purpose

The key concepts to be explored in this article include the blurring boundary between “indie” and “pop”; the significance of digital media in contemporary music industry and the distinctive socio-political nature of indie music in Hong Kong. To a large extent, it discusses the social functions of music – a subject discussed by Simon Frith (2007), a leading scholar in popular music studies.

Design/methodology/approach

In order to expound on some observations of the connections between music cultures and socio-political development in Hong Kong, a selection of musical works by indie musicians will be looked into closely.

Findings

A focus of discussion will be given to the difference between mainstream Cantopop and indie music in a way that the latter mentions socio-political matters overtly while the former downplays sensitive political issues, particularly in the post-colonial era after the handover of Hong Kong to mainland China in 1997.

Originality/value

Originality of research can be evidenced by the author's textual analysis of the musical styles and lyrics produced by various local indie artists' musical works through primary sources.
Statistical analysis of wind resource and energy potential assessment of Sanghar site, Sindh Pakistan
Authors: Hulio Zahid Hussain , Wei Jiang , Khan Ghulam Mujtaba
Published: August 2021

Purpose

The purpose of this paper is to assess the wind resource and energy potential of the Sanghar site for minimizing the dependence on fossil fuels and improving the environment.

Design/methodology/approach

The Sanghar site wind shear coefficient and turbulence intensity factor are investigated for a period of a year. The two-parameter k and c Weibull distribution function is used to analyze the wind speed of the Sanghar site. The standard deviation, coefficient of variation, wind power density and energy density; and capacity factor was assessed for a period of a year. The economic assessment of energy/kWh is investigated for the selection of appropriate wind turbines.

Findings

The mean wind shear of the Sanghar site was found to be 0.2509. The mean wind speed was found to be 4.766, 5.534 and 6.121 at 20, 40 and 60 m above the ground level. The mean value of the k parameter was observed to be 2.433, 2.777 and 2.862 at 20, 40 and 60 m for a period of a year. The Weibull c m/s parameter was found to be 5.377, 6.245 and 6.906 m/s at 20, 40 and 60 m. The major portion of values of standard deviation was found to be in between 0.1 to 2.00 at 20, 40 and 60 m. The mean wind power density values were observed to be 88.33, 93.5 and 110.16 W/m2 at 20, 40 and 60 m; respectively, for a period of a year. The mean coefficient of variation was found to be 0.1478, 0.1205 and 0.1033 at 20, 40 and 60 m; respectively. The mean energy density was found to be 476.75, 683.08 and 866.33 kWh/m2 at 20, 40 and 60 m; respectively. The mean capacity factor for different wind turbines was ranged between 18 to 24.83 for a period of a year. The economic assessment showed that wind turbine B has the minimum cost (US$) 0.0484/kWh.

Practical implications

The assessment provides the solution to sustainable energy generation which reduces the consumption of fuel and the effect of fluctuating price of fuel in the world market on local consumers.

Social implications

Wind energy may have social implications including environmentally friendly, consistent supply of energy during the peak summer season, less unit per cost, etc.

Originality/value

The Sanghar site is new and assessed for the first time in this research work. The Sanghar site is suitable for installing utility wind turbines for energy generation at the lowest cost.
Perspectives of prisoners on alcohol and other drug group treatment approaches
Authors: Doyle Michael Francis , Williams Megan , Butler Tony , Shakeshaft Anthony , Conigrave Katherine , Guthrie Jill
Published: August 2021

Purpose

The purpose of this study is to describe what a sample of men in prison believe works well for the delivery of prison-based group alcohol and other drug (AoD) treatment programs. The authors hope the findings will help inform future practise in AoD program delivery in prison.

Design/methodology/approach

A qualitative research paper reporting on a thematic analysis of in-depth interviews with 30 male prisoners on their perspectives on AoD group treatment approaches.

Findings

Results indicate that matching readiness and motivation to start treatment is important for group success. Program content must be relevant and delivered by empathic facilitators who maintain confidentiality. It would be advantageous if one of the program facilitators was a peer with personal experience of overcoming an AoD use disorder.

Originality/value

According to the authors’ knowledge, this is one of few qualitative studies into the delivery of AoD treatment for men in prison and the only study of its kind in Australia. The consumer perspective is an important element in improving quality of treatment provision.
Performance evaluation of GPU- and cluster-computing for parallelization of compute-intensive tasks
Authors: Döschl Alexander , Keller Max-Emanuel , Mandl Peter
Published: August 2021

Purpose

This paper aims to evaluate different approaches for the parallelization of compute-intensive tasks. The study compares a Java multi-threaded algorithm, distributed computing solutions with MapReduce (Apache Hadoop) and resilient distributed data set (RDD) (Apache Spark) paradigms and a graphics processing unit (GPU) approach with Numba for compute unified device architecture (CUDA).

Design/methodology/approach

The paper uses a simple but computationally intensive puzzle as a case study for experiments. To find all solutions using brute force search, 15! permutations had to be computed and tested against the solution rules. The experimental application comprises a Java multi-threaded algorithm, distributed computing solutions with MapReduce (Apache Hadoop) and RDD (Apache Spark) paradigms and a GPU approach with Numba for CUDA. The implementations were benchmarked on Amazon-EC2 instances for performance and scalability measurements.

Findings

The comparison of the solutions with Apache Hadoop and Apache Spark under Amazon EMR showed that the processing time measured in CPU minutes with Spark was up to 30% lower, while the performance of Spark especially benefits from an increasing number of tasks. With the CUDA implementation, more than 16 times faster execution is achievable for the same price compared to the Spark solution. Apart from the multi-threaded implementation, the processing times of all solutions scale approximately linearly. Finally, several application suggestions for the different parallelization approaches are derived from the insights of this study.

Originality/value

There are numerous studies that have examined the performance of parallelization approaches. Most of these studies deal with processing large amounts of data or mathematical problems. This work, in contrast, compares these technologies on their ability to implement computationally intensive distributed algorithms.
Vegetable oil-based cutting fluids and its behavioral characteristics in machining processes: a review
Authors: Pranav P. , Sneha E. , Rani S.
Published: August 2021

Purpose

This paper aims to provide a detailed review of various cutting fluids (CFs).

Design/methodology/approach

Friction and wear are inevitable in machine parts in motion. The industrial sector uses various kinds of lubricants, which include engine oils, CFs, hydraulic fluids, greases, etc. to control friction and wear. The main purpose of using CF is to remove heat produced during machining and to reduce cutting forces, tool wear and energy associated with it. Thus, it increases the productivity and quality of the manufacturing process. But more than 80% of the CFs used in the industries now are mineral oil-based. These mineral oils and additives are highly undesirable because of their toxicity, nonbiodegradability, pollution and ecological problems. Hence, these petroleum-based oils in the lubrication system can be substituted with alternatives such as vegetable-based CF. Several studies are being conducted in the field of eco-friendly CFs. Because of the variance in fatty acid profile and availability, the selection of vegetable oils (VOs) is another problem faced nowadays. The present study is focused on bio-based oils and many eco-friendly additives. Various machining processes and comparisons relating to the same have also been made. The aim is to minimize the use of mineral oil and thereby introduce sustainability in production.

Findings

In this present study, bio-based oils, additives and various characteristic behavior of them in machining are being discussed. The VOs are found to be a potential base oil for industrial CFs.

Originality/value

This paper describes the importance of sustainable CFs.
From university social-responsibility to social-innovation strategy for quality accreditation and sustainable competitive advantage during COVID-19 pandemic
Authors: Adel Heba Mohamed , Zeinhom Ghada Aly , Younis Raghda Abulsaoud Ahmed
Published: August 2021

Purpose

The purpose of this study is to investigate conceptually and empirically the direct and indirect relationships between university social responsibility (USR), university social innovation strategy (USIS) in terms of social awareness (SA), intention for social innovation (ISI), organisational structure for social innovation (SSI) and innovativeness in social value creation (ISVC) and gaining a sustainable competitive advantage (SCA) at quality-accredited faculties of an emerging market.

Design/methodology/approach

A conceptual model was presented and a mixed-methods approach was exploited to fill a research gap detected in strategic corporate social innovation literature. The authors formed a data collection team that contacted all the quality-accredited public and private/international faculties, of which 109 faculties in 11 Egyptian governorates responded and their quality units filled questionnaires that were analysed by structural equation modelling. For comprehensive understanding, qualitative interviews were set to gather data from managers/leaders and teaching staff working at those faculties in quality management and community engagement practices as well as students.

Findings

Results demonstrated that USR positively and significantly influenced SCA and USIS. Further, USIS (in terms of ISI, SSI and ISVC) positively and significantly influenced SCA. However, USIS (in terms of SA) had a positive yet insignificant influence on SCA. Indirectly, USIS was found to be partially mediating USR–SCA relationship.

Practical implications

University leaders/staff can gain insights on how to adopt differentiation strategies, which enable their institutions to shift from being just socially responsible to becoming socially innovative by presenting solutions to social, economic, cultural, environmental and health-care problems/challenges within their communities in general and during pandemics. This can be sustained through developing innovative quality-based processes/programmes/services related to education, research and community outreach that better serve social needs to be quality-accredited and unique over their rivals.

Social implications

Satisfying social needs through promoting innovative processes/services can reinforce a favourable social change.

Originality/value

From a cross-disciplinary perspective, the authors interwove conceptually sparse literature of strategic, operations, knowledge capacity and innovation management that studied university social innovation research area. Also, to the best of the authors’ knowledge, this is the first research that examined empirically USR–USIS–SCA relationships of quality-accredited faculties in an emerging economy during Covid-19 pandemic.