bluuebunny/crossref_metadata_2025 huggingface dataset:
Improved species assignments across the entire Anopheles genus using targeted sequencing
Authors: Boddé Marilou , Makunin Alex , Teltscher Fiona , Akorli Jewelna , Andoh Nana Efua , Bei Amy , Chaumeau Victor , Desamours Ife , Ekpo Uwem F. , Govella Nicodem J. , Kayondo Jonathan , Kobylinski Kevin , Ngom Elhadji Malick , Niang El Hadji Amadou , Okumu Fredros , Omitola Olaitan O. , Ponlawat Alongkot , Rakotomanga Malala Nirina , Rasolonjatovoniaina Mialy Tatamo , Ayala Diego , Lawniczak Mara
Published: September 2024

Accurate species identification of the mosquitoes in the genus Anopheles is of crucial importance to implement malaria control measures and monitor their effectiveness. We use a previously developed amplicon panel (ANOSPP) that retrieves sequence data from multiple short nuclear loci for any species in the genus. Species assignment is based on comparison of samples to a reference index using k-mer distance. Here, we provide a protocol to generate version controlled updates of the reference index and present its latest release, NNv2, which contains 91 species, compared to 56 species represented in its predecessor NNv1. With the updated reference index, we are able to assign samples to species level that previously could not be assigned. We discuss what happens if a species is not represented in the reference index and how this can be addressed in a future update. To demonstrate the increased power of NNv2, we showcase the assignments of 1789 wild-caught mosquitoes from Madagascar and demonstrate that we can detect within species population structure from the amplicon sequencing data.
Update on protease-activated receptor 2 in inflammatory and autoimmune dermatological diseases
Authors: Xu Kejia , Wang Lin , Lin Mao , He Gu
Published: September 2024

Protease-activated receptor 2 (PAR2) is a cell-surface receptor expressed in various cell types, including keratinocytes, neurons, immune and inflammatory cells. Activation of PAR2, whether via its canonical or biased pathways, triggers a series of signaling cascades that mediate numerous functions. This review aims to highlight the emerging roles and interactions of PAR2 in different skin cells. It specifically summarizes the latest insights into the roles of PAR2 in skin conditions such as atopic dermatitis (AD), psoriasis, vitiligo and melasma. It also considers these roles from the perspective of the cutaneous microenvironment in relation to other inflammatory and autoimmune dermatological disorders. Additionally, the review explores PAR2’s involvement in associated comorbidities from both cutaneous and extracutaneous diseases. Therefore, PAR2 may serve as a key target for interactions among various cells within the local skin environment.
The fibroblast activation protein alpha as a biomarker of pulmonary fibrosis
Authors: Lavis Philomène , Garabet Ani , Cardozo Alessandra Kupper , Bondue Benjamin
Published: September 2024

Idiopathic pulmonary fibrosis (IPF) is a rare, chronic, and progressive interstitial lung disease with an average survival of approximately 3 years. The evolution of IPF is unpredictable, with some patients presenting a relatively stable condition with limited progression over time, whereas others deteriorate rapidly. In addition to IPF, other interstitial lung diseases can lead to pulmonary fibrosis, and up to a third have a progressive phenotype with the same prognosis as IPF. Clinical, biological, and radiological risk factors of progression were identified, but no specific biomarkers of fibrogenesis are currently available. A recent interest in the fibroblast activation protein alpha (FAPα) has emerged. FAPα is a transmembrane serine protease with extracellular activity. It can also be found in a soluble form, also named anti-plasmin cleaving enzyme (APCE). FAPα is specifically expressed by activated fibroblasts, and quinoline-based specific inhibitors (FAPI) were developed, allowing us to visualize its distribution in vivo by imaging techniques. In this review, we discuss the use of FAPα as a useful biomarker for the progression of lung fibrosis, by both its assessment in human fluids and/or its detection by imaging techniques and immunohistochemistry.
Applications of optical coherence tomography angiography in glaucoma: current status and future directions
Authors: Shen Ruyue , Chan Leo Ka Yu , Yip Amber Cheuk Wing , Chan Poemen P.
Published: September 2024

Glaucoma is a leading cause of irreversible blindness worldwide, with its pathophysiology remaining inadequately understood. Among the various proposed theories, the vascular theory, suggesting a crucial role of retinal vasculature deterioration in glaucoma onset and progression, has gained significant attention. Traditional imaging techniques, such as fundus fluorescein angiography, are limited by their invasive nature, time consumption, and qualitative output, which restrict their efficacy in detailed retinal vessel examination. Optical coherence tomography angiography (OCTA) emerges as a revolutionary imaging modality, offering non-invasive, detailed visualization of the retinal and optic nerve head microvasculature, thereby marking a significant advancement in glaucoma diagnostics and management. Since its introduction, OCTA has been extensively utilized for retinal vasculature imaging, underscoring its potential to enhance our understanding of glaucoma’s pathophysiology, improving diagnosis, and monitoring disease progression. This review aims to summarize the current knowledge regarding the role of OCTA in glaucoma, particularly its potential applications in diagnosing, monitoring, and understanding the pathophysiology of the disease. Parameters pertinent to glaucoma will be elucidated to illustrate the utility of OCTA as a tool to guide glaucoma management.
Public e-learning opportunities in anesthesia on YouTube
Authors: Flinspach Armin Niklas , Merk Jana , Raimann Florian Jürgen , Ippolito Angelo , Vo Linda , Blum Lea Valeska , Noone Stephanie , Flinspach Mairen Heumine , Sterz Jasmina , Neef Vanessa
Published: September 2024

Background

The increasing knowledge in medicine makes continuous education for clinicians necessary more than ever. The range of skills to be covered in anesthesia is constantly growing. How to optimize complex training in practical skills in an increasingly economized environment remains unclear. The extent and suitability to which video platforms assist in learning basic skills in anesthesia has not been investigated yet.

Methods

To identify appropriate videos on YouTube, we conducted a search (May 1st 2023), including common combinations of synonymous terms, and checked up to the 50th result for relevance. Videos initially deemed suitable were archived and evaluated to exclude duplicates. All included videos were subsequently scrutinized for content. For this purpose, a validated checklist to assess procedural and didactic content was used. Data analysis involved assessing interrater reliability, Spearman’s rho test, and linear regression analysis.

Results

We were able to include 222 videos related to 16 basic skills. The low number of videos found on specific skills was striking. The level of fulfillment illustrating a practical skill was repeatedly found <60%. The consistency of the questionnaire was moderate (Fleiss kappa 0.59). Video runtime displayed a significant correlation (p < 0.001) with the number of items accomplished on procedural (|ρ| = 0.442, R2 = 0.196) and didactic items (|ρ| = 0.452, R2 = 0.153). The professional context of the content creators showed no influence.

Conclusion

The quantity of available material on specific basic anesthesiologic skills varied drastically. In addition, the videos available often revealed significant shortcomings, making it challenging to easily assess the quality of the content. The vast majority of evaluated videos did not reflect the intended approach in a scientifically correct manner or were entirely unsuitable for displaying the procedural requirements.
Effects of hemodialysis adequacy on chronic kidney disease complications using latent class trajectory modeling: a real-world study based on long-term observation of Kt/V
Authors: Ai Sanxi , Xu Qiuyu , Chen Gang , Zheng Ke , Qin Yan , Li Xuemei
Published: September 2024

Introduction

Previous studies on hemodialysis adequacy primarily focused on the association between Kt/V and survival, and low Kt/V is associated with increased mortality. There is a paucity of research on the correlation between Kt/V and chronic kidney disease (CKD) complications.

Methods

The retrospective study was conducted in the blood purification center of a tertiary hospital in China from July 2020 to September 2022. It aimed to analyze the association between latent Kt/V trajectory categories and CKD complications (hypertension, anemia, mineral and bone disorder) and inflammatory markers. The latent class trajectory model was established to describe the different patterns of Kt/V changes over the observation period.

Results

During the 2-year study period, 93 patients on thrice-weekly hemodialysis with residual kidney function <2 mL/min were included. In the 3-class Kt/V trajectory model, 21 patients were in class 1 with a Kt/V trajectory that declined from a higher to lower levels (from >1.6 to <1.4), 59 patients were in class 2 with Kt/V consistently in a relatively low range (around 1.4), and 13 patients were in class 3 with Kt/V stabilized around 1.6. No significant difference in CKD complications or inflammation markers was observed among the three Kt/V trajectories.

Conclusion

Under the premise of adequate Kt/V, neither a stable higher Kt/V nor a declined Kt/V significantly influenced CKD complications or inflammatory markers.
Bioinformatic analysis reveals the association between bacterial morphology and antibiotic resistance using light microscopy with deep learning
Authors: Ikebe Miki , Aoki Kota , Hayashi-Nishino Mitsuko , Furusawa Chikara , Nishino Kunihiko
Published: September 2024

Although it is well known that the morphology of Gram-negative rods changes on exposure to antibiotics, the morphology of antibiotic-resistant bacteria in the absence of antibiotics has not been widely investigated. Here, we studied the morphologies of 10 antibiotic-resistant strains of Escherichia coli and used bioinformatics tools to classify the resistant cells under light microscopy in the absence of antibiotics. The antibiotic-resistant strains showed differences in morphology from the sensitive parental strain, and the differences were most prominent in the quinolone-and β-lactam-resistant bacteria. A cluster analysis revealed increased proportions of fatter or shorter cells in the antibiotic-resistant strains. A correlation analysis of morphological features and gene expression suggested that genes related to energy metabolism and antibiotic resistance were highly correlated with the morphological characteristics of the resistant strains. Our newly proposed deep learning method for single-cell classification achieved a high level of performance in classifying quinolone-and β-lactam-resistant strains.
A virulence-associated small RNA MTS1338 activates an ABC transporter CydC for rifampicin efflux in Mycobacterium tuberculosis
Authors: Singh Saumya , Dutta Tanmay
Published: September 2024

The efficacy of the tuberculosis treatment is restricted by innate drug resistance of Mycobacterial tuberculosis and its ability to acquire resistance to all anti-tuberculosis drugs in clinical use. A profound understanding of bacterial ploys that decrease the effectiveness of drugs would identify new mechanisms for drug resistance, which would subsequently lead to the development of more potent TB therapies. In the current study, we identified a virulence-associated small RNA (sRNA) MTS1338-driven drug efflux mechanism in M. tuberculosis. The treatment of a frontline antitubercular drug rifampicin upregulated MTS1338 by >4-fold. Higher intrabacterial abundance of MTS1338 increased the growth rate of cells in rifampicin-treated conditions. This fact was attributed by the upregulation of an efflux protein CydC by MTS1338. Gel-shift assay identified a stable interaction of MTS1338 with the coding region of cydC mRNA thereby potentially stabilizing it at the posttranscriptional level. The drug efflux measurement assays revealed that cells with higher MTS1338 abundance accumulate less drug in the cells. This study identified a new regulatory mechanism of drug efflux controlled by an infection-induced sRNA in M. tuberculosis.
Lipid-based nanoparticles: innovations in ocular drug delivery
Authors: Baig Mirza Salman , Karade Shweta Kulkarni , Ahmad Anas , Khan Mohd. Ashif , Haque Anzarul , Webster Thomas J. , Faiyazuddin Md. , Al-Qahtani Noora H.
Published: September 2024

Ocular drug delivery presents significant challenges due to intricate anatomy and the various barriers (corneal, tear, conjunctival, blood-aqueous, blood-retinal, and degradative enzymes) within the eye. Lipid-based nanoparticles (LNPs) have emerged as promising carriers for ocular drug delivery due to their ability to enhance drug solubility, improve bioavailability, and provide sustained release. LNPs, particularly solid lipid nanoparticles (SLNs), nanostructured lipid carriers (NLCs), and cationic nanostructured lipid carriers (CNLCs), have emerged as promising solutions for enhancing ocular drug delivery. This review provides a comprehensive summary of lipid nanoparticle-based drug delivery systems, emphasizing their biocompatibility and efficiency in ocular applications. We evaluated research and review articles sourced from databases such as Google Scholar, TandFonline, SpringerLink, and ScienceDirect, focusing on studies published between 2013 and 2023. The review discusses the materials and methodologies employed in the preparation of SLNs, NLCs, and CNLCs, focusing on their application as proficient carriers for ocular drug delivery. CNLCs, in particular, demonstrate superior effectiveness attributed due to their electrostatic bioadhesion to ocular tissues, enhancing drug delivery. However, continued research efforts are essential to further optimize CNLC formulations and validate their clinical utility, ensuring advancements in ocular drug delivery technology for improved patient outcomes.
Multi-modal remote perception learning for object sensory data
Authors: Almujally Nouf Abdullah , Rafique Adnan Ahmed , Al Mudawi Naif , Alazeb Abdulwahab , Alonazi Mohammed , Algarni Asaad , Jalal Ahmad , Liu Hui
Published: September 2024

Introduction

When it comes to interpreting visual input, intelligent systems make use of contextual scene learning, which significantly improves both resilience and context awareness. The management of enormous amounts of data is a driving force behind the growing interest in computational frameworks, particularly in the context of autonomous cars.

Method

The purpose of this study is to introduce a novel approach known as Deep Fused Networks (DFN), which improves contextual scene comprehension by merging multi-object detection and semantic analysis.

Results

To enhance accuracy and comprehension in complex situations, DFN makes use of a combination of deep learning and fusion techniques. With a minimum gain of 6.4% in accuracy for the SUN-RGB-D dataset and 3.6% for the NYU-Dv2 dataset.

Discussion

Findings demonstrate considerable enhancements in object detection and semantic analysis when compared to the methodologies that are currently being utilized.
Recognizing Leber’s Hereditary Optic Neuropathy to avoid delayed diagnosis and misdiagnosis
Authors: La Morgia Chiara , Cascavilla Maria Lucia , De Negri Anna Maria , Romano Marcello , Canalini Fabrizio , Rossi Silvia , Centonze Diego , Filippi Massimo
Published: September 2024

Leber’s Hereditary Optic Neuropathy (LHON) is a maternally inherited optic nerve disease primarily caused by mutations in mitochondrial DNA (mtDNA). The peak of onset is typically between 15 and 30 years, but variability exists. Misdiagnosis, often as inflammatory optic neuritis, delays treatment, compounded by challenges in timely genetic diagnosis. Given the availability of a specific treatment for LHON, its early diagnosis is imperative to ensure therapeutic appropriateness. This work gives an updated guidance about LHON differential diagnosis to clinicians dealing also with multiple sclerosi and neuromyelitis optica spectrtum disorders-related optic neuritis. LHON diagnosis relies on clinical signs and paraclinical evaluations. Differential diagnosis in the acute phase primarily involves distinguishing inflammatory optic neuropathies, considering clinical clues such as ocular pain, fundus appearance and visual recovery. Imaging analysis obtained with Optical Coherence Tomography (OCT) assists clinicians in early recognition of LHON and help avoiding misdiagnosis. Genetic testing for the three most common LHON mutations is recommended initially, followed by comprehensive mtDNA sequencing if suspicion persists despite negative results. We present and discuss crucial strategies for accurate diagnosis and management of LHON cases.
Effect of konjac glucomannan on gut microbiota from hyperuricemia subjects in vitro: fermentation characteristics and inhibitory xanthine oxidase activity
Authors: Deng Jie , Zhou Kai , Feng Caimin , Bao Yilu , Zhang Zhiming , Luo Wenfeng , Li Meiying
Published: September 2024

Background

The disorder of uric acid metabolism is closely associated with gut microbiota and short-chain fatty acids (SCFAs) dysregulation, but the biological mechanism is unclear, limiting the development of uric acid-lowering active polysaccharides. Konjac glucomannan (KGM) could attenuate metabolic disturbance of uric acid and modulate the gut microbiota. However, the relationship between uric acid metabolism and gut microbiota is still unknown.

Methods

In this study, The fecal samples were provided by healthy volunteers and hyperuricemia (HUA) patients. Fecal samples from healthy volunteers was regarded as the NOR group. Similarly, 10% HUA fecal suspension was named as the HUA group. Then, fecal supernatant was inoculated into a growth basal medium containing glucose or KGM, and healthy fecal samples were designated as the NOR-GLU and NOR-KGM groups, while HUA fecal samples were designated as the HUA-GLU and HUA-KGM groups. All samples were cultured in an anaerobic bag system. After fermentation for 24 h, the samples were collected for further analysis of composition of intestinal microbiota, SCFAs concentration and XOD enzyme activity.

Results

The results showed that KGM could be utilized and degraded by the gut microbiota from HUA subjects, and it could modulate the composition and structure of their HUA gut microbiota to more closely resemble that of a healthy group. In addition, KGM showed a superior modulated effect on HUA gut microbiota by increasing Megasphaera, Faecalibacterium, Lachnoclostridium, Lachnospiraceae, Anaerostipes, and Ruminococcus levels and decreasing Butyricicoccus, Eisenbergiella, and Enterococcus levels. Furthermore, the fermentation solution of KGM showed an inhibitory effect on xanthine oxidase (XOD) enzyme activity, which might be due to metabolites such as SCFAs.

Conclusion

In conclusion, the effect of KGM on hyperuricemia subjects was investigated based on the gut microbiota in vitro. In the present study. It was found that KGM could be metabolized into SCFAs by HUA gut microbiota. Furthermore, KGM could modulate the structure of HUA gut microbiota. At the genus level, KGM could decrease the relative abundances of Butyricicoccus, Eisenbergiella, and Enterococcus, while Lachnoclostridium and Lachnospiraceae in HUA gut microbiota were significantly increased by the addition of KGM. The metabolites of gut microbiota, such as SCFAs, might be responsible for the inhibition of XOD activity. Thus, KGM exhibited a superior probiotic function on the HUA gut microbiota, which is expected as a promising candidate for remodeling the HUA gut microbiota.
Sorafenib maintenance after allogeneic stem cell transplantation in patients with FLT3+ AML receiving midostaurin during induction and consolidation: a retrospective analysis
Authors: Sapienza Giuseppe , Castronovo Marta , Tringali Stefania , Bono Roberto , Rotolo Cristina , Mulè Antonino , Calafiore Valeria , Patti Caterina , Agueli Cecilia , Randazzo Valentina , Santoro Alessandra , Matranga Domenica , Castagna Luca
Published: September 2024

Introduction

Acute myeloid leukemia (AML) relapse is the main cause of death after allogeneic stem cell transplant (allo-SCT). In AML FLT3+, it was shown that Sorafenib used as maintenance therapy after allo-SCT, significantly reduces the risk of relapse and death.

Methods

We analyzed 29 adult patients with FLT3m AML and underwent allogeneic stem cell transplant from 2019 to 2023. All patients received midostaurin plus conventional CT during induction and consolidation. After transplantation, Sorafenib maintenance was administered in all patients independently from MRD status at transplantation.

Results

Sorafenib maintenance was applied in 18 patients out 29 patients (62%). Median time to start sorafenib was 100 days (range 37-225) and median duration of treatment was 775 days (range 140-1064). For the whole population (n=29), 2-year OS, LFS, and CIR was 76%, 68% and 28%, respectively. The median time to relapse was 137 days (range 49-246). For patients treated with sorafenib (n=18), the 2-year OS, LFS, and CIR were 94%, 84% and 11%, respectively. For the whole population, the 100-day NRM was 0% and 1-year NRM was 3%. Death was caused by transplant-associated thrombotic microangiopathy in 1 patient. For patients who were administered with Sorafenib, the 1-y NRM was 5%. Death was caused by transplant associated transplant-associated thrombotic microangiopathy.

Discussion

This retrospective study suggests that sorafenib maintenance seem to be effective even in patients pre-treated with midostaurin.
Hyperspectral imaging and artificial intelligence enhance remote phenotyping of grapevine rootstock influence on whole vine photosynthesis
Authors: Sharma Prakriti , Thilakarathna Imasha , Fennell Anne
Published: September 2024

Rootstocks are gaining importance in viticulture as a strategy to combat abiotic challenges, as well as enhancing scion physiology. Photosynthetic parameters such as maximum rate of carboxylation of RuBP (Vcmax) and the maximum rate of electron transport driving RuBP regeneration (Jmax) have been identified as ideal targets for potential influence by rootstock and breeding. However, leaf specific direct measurement of these photosynthetic parameters is time consuming, limiting the information scope and the number of individuals that can be screened. This study aims to overcome these limitations by employing hyperspectral imaging combined with artificial intelligence (AI) to predict these key photosynthetic traits at the canopy level. Hyperspectral imaging captures detailed optical properties across a broad range of wavelengths (400 to 1000 nm), enabling use of all wavelengths in a comprehensive analysis of the entire vine’s photosynthetic performance (Vcmax and Jmax). Artificial intelligence-based prediction models that blend the strength of deep learning and machine learning were developed using two growing seasons data measured post-solstice at 15 h, 14 h, 13 h and 12 h daylengths for Vitis hybrid ‘Marquette’ grafted to five commercial rootstocks and ‘Marquette’ grafted to ‘Marquette’. Significant differences in photosynthetic efficiency (Vcmax and Jmax) were noted for both direct and indirect measurements for the six rootstocks, indicating that rootstock genotype and daylength have a significant influence on scion photosynthesis. Evaluation of multiple feature-extraction algorithms indicated the proposed Vitis base model incorporating a 1D-Convolutional neural Network (CNN) had the best prediction performance with a R2 of 0.60 for Vcmax and Jmax. Inclusion of weather and chlorophyll parameters slightly improved model performance for both photosynthetic parameters. Integrating AI with hyperspectral remote phenotyping provides potential for high-throughput whole vine assessment of photosynthetic performance and selection of rootstock genotypes that confer improved photosynthetic performance potential in the scion.
Treatment “non-responders”: the experience of short-term psychoanalytic psychotherapy among depressed adolescents, their parents and therapists
Authors: Fiorini Guilherme , Khoe Zane , Fonagy Peter , Midgley Nick
Published: September 2024

Introduction

Short-term psychoanalytic psychotherapy (STPP) is an evidence-based treatment for adolescents with depression, but like all treatment approaches, not all patients benefit from it. Previous investigations of the process of STPP have mostly focused on successful cases, and only a few studies have included the perspectives of young people, their parents, and therapists in the understanding of treatment non-response.

Methods

Semi-structured interviews were carried out with young people who were considered “non-responders” to STPP, as well as with their parents and therapists. These cases were analyzed using a descriptive-interpretative approach.

Results

The data analysis revealed three themes: (1) Therapy as a safe space; (2) Can short-term psychotherapy ever be enough?; and (3) Therapists making links and connections that did not make sense to the young people.

Discussion

This study’s findings indicate that “poor outcome” psychotherapy does not necessarily equate to a “poor experience” of psychotherapy, with different stakeholders appreciating the treatment setting as a “safe space.” However, they also suggest that some felt that a relatively short-term treatment could not lead to substantial change and that young people in STPP might have a more negative view of their outcomes compared to their parents and therapists. Finally, the findings indicate that some interventions made by clinicians in STPP feel wrong or do not make sense to young people, potentially affecting the therapy process.
Exploring the links between type and content of virtual background use during videoconferencing and videoconference fatigue
Authors: Li Benjamin J. , Zhang Heng
Published: September 2024

The popularity of remote working in recent years has led to a rise in the use of videoconferencing tools. However, these communication tools have also given rise to a phenomenon known as videoconference fatigue (VF). Using the limited capacity model of motivated mediated message processing and impression management theory as the theoretical framework, this study explores how different types and content of virtual backgrounds in videoconferencing influence people’s VF and well-being. A survey of 610 users of videoconferencing tools revealed significant variations in the content and type of virtual backgrounds used during videoconferences. Our findings highlight three main points: first, there is a significant relationship between the use of virtual backgrounds and VF; second, pairwise comparisons showed that the type of virtual background significantly influences the amount of VF experienced by users; third, the content of virtual backgrounds also significantly impacts the level of VF experienced by users. These results suggest that careful selection of virtual backgrounds can mitigate VF and improve user well-being. Theoretical and practical implications are discussed.
Divergent pattern of functional connectivity within the dorsal attention network differentiates schizophrenia and bipolar disorder patients
Authors: Chrobak Adrian Andrzej , Bielak Sylwia , Nowaczek Dominik , Żyrkowska Aleksandra , Sobczak Anna Maria , Fafrowicz Magdalena , Bryll Amira , Marek Tadeusz , Dudek Dominika , Siwek Marcin
Published: September 2024

Introduction

Schizophrenia (SZ) and bipolar disorder (BD) share common clinical features, symptoms, and neurocognitive deficits, which results in common misdiagnosis. Recently, it has been suggested that alterations within brain networks associated with perceptual organization yield potential to distinguish SZ and BD individuals. The aim of our study was to evaluate whether functional connectivity (FC) of the dorsal attention network (DAN) may differentiate both conditions

Methods

The study involved 90 participants: 30 remitted SZ patients, 30 euthymic BD patients, and 30 healthy controls (HC). Resting state functional magnetic resonance imaging was used to compare the groups in terms of the FC within the core nodes of the DAN involving frontal eye fields (FEF) and intraparietal sulcus (IPS)

Results

BD patients presented weaker inter-hemispheric FC between right and left FEF than HC. While SZ did not differ from HC in terms of inter-FEF connectivity, they presented increased inter- and intra-hemispheric FC between FEF and IPS. When compared with BD, SZ patients showed increased FC between right FEF and other nodes of the network (bilateral IPS and left FEF)

Conclusion

We have shown that altered resting state FC within DAN differentiates BD, SZ, and HC groups. Divergent pattern of FC within DAN, consisting of hypoconnectivity in BD and hyperconnectivity in SZ, might yield a candidate biomarker for differential diagnosis between both conditions. More highly powered studies are needed to confirm these possibilities
Collaboration for new therapies: maximizing health and innovation
Authors: Mestre-Ferrandiz Jorge , Meulien Pierre , Ostwald Dennis A. , Acha Virginia
Published: September 2024

Introduction

Innovative medicines and vaccines can provide direct health benefits to patients and populations by preventing, treating and curing diseases, and also drive wider socioeconomic and productivity gains. However, researching and developing them is complex and risky. Funding for life sciences R&D has different sources: public, charitable/NGO, and private sector. We believe there is consensus that all are required, although there is less understanding about their respective roles, synergies, and funding priorities. The purpose of this paper is to provide an overview of the current life sciences innovation ecosystem in Europe, highlighting challenges for funding and innovation of new therapies and our proposed options to address these.

Methods

The basis of this paper stems from the reflections made by the co-authors during a webinar with title “Collaboration for new therapies: maximising funding and innovation,” in March 2023, with further targeted literature reviews.

Results

We identify eight challenges in the European life sciences ecosystem, some closely related, and nine options that we think might be helpful to address them. Each option on its own can have different levels of ‘impact’, but collectively will provide synergies among them, and thus maximize their impact.

Discussion

It is critical to ascertain how the strengths of each actor can be leveraged to bring new medicines/treatments to market, quicker and more efficiently. We need a trusted environment, with strategic collaborations between the public and private sectors, and policy initiatives and incentives should be targeted to strengthen the infrastructure with the aim of fostering such optimal alliances.
Identifying skills required of new epidemiologists: a content analysis of Canadian job postings and master’s programs
Authors: Chalmers Karli E. , Spence Kelsey L.
Published: September 2024

Introduction

The rise of emerging public health threats has increased the need for qualified epidemiologists in Canada. Our study aimed to identify the knowledge, skills, and abilities (KSAs) required of epidemiologists entering the workforce and determine whether these align with those taught in graduate epidemiology programs.

Methods

An inductive content analysis of Canadian job postings from May to December 2023 containing the keyword “epidemiology” and requiring master’s degrees in epidemiology or related fields was conducted to identify the KSAs required in the workforce. Inductive content analysis of Master of Science (MSc) program descriptions and core course descriptions was completed to discern skills gained through Canadian graduate epidemiology and public health programs.

Results

Based on the 295 job postings analyzed, five KSA categories were identified: communication skills (n = 268, 90.8%), analytical skills (n = 267, 90.5%), soft skills (n = 254, 86.1%), research methodology (n = 217, 73.6%), and knowledge of epidemiological concepts (n = 170, 57.6%). Analysis of 18 MSc programs found that that all of them described analytical skills, research methodology, and epidemiological concepts within their curriculum. Communication skills were described in 94.4% (n = 17) of programs, while soft skills were mentioned in 50.0% (n = 9). However, only 66.7% (n = 12) of programs outlined learning objectives or specified the skills acquired from their programs in their descriptions.

Conclusion

There was alignment between the needs of the Canadian epidemiology job market and MSc programs, particularly in analytical skills and research methodology. However, development of soft skills should be emphasized within graduate epidemiology programs to better prepare graduates for the job market. Future research should aim to develop competency statements for epidemiologists in training to ensure consistency across graduate programs and promote career readiness.
Unveiling the quasar main sequence: illuminating the complexity of active galactic nuclei and their evolution
Authors: Panda Swayamtrupta
Published: September 2024

The Eigenvector 1 schema, or the main sequence of quasars, was introduced as an analogous scheme to the HR diagram that would allow us to understand the more complex, extended sources - active galactic nuclei (AGNs) that harbor accreting supermassive black holes. The study has spanned more than three decades and has advanced our knowledge of the diversity of Type-1 AGNs from both observational and theoretical aspects. The quasar main sequence, in its simplest form, is the plane between the FWHM of the broad Hβemission line and the strength of the optical Feiiemission to the Hβ. While the former allows the estimation of the black hole mass, the latter enables direct measurement of the metal content and traces the accretion rate of the AGN. Together, they allow us to track the evolution of AGN in terms of the activity of the central nuclei, its effect on the line-emitting regions surrounding the AGN, and their diversity making them suitable distance indicators to study the expansion of our Universe. This mini-review aims to provide (i) a brief history leading up to the present day in the study of the quasar main sequence, (ii) introduce us to the many possibilities to study AGNs with the main sequence as a guiding tool, and (iii) highlight some recent, exciting lines of researches at the frontier of this ever-growing field.
Adaptive Predefined Time Control for Strict-Feedback Systems with Actuator Quantization
Authors: Zhang Wentong , Yu Bo
Published: September 2024

An adaptive predefined-time quantized control issue is considered for strict-feedback systems with actuator quantization. To handle the unknown nonlinearities of a system, the neural networks are first applied to model them. To analyze the predefined-time stability under approximation error, a stability lemma is first introduced. Then, a refreshing predefined-time quantized control strategy is presented. Compared with the existing control studies for actuator quantization, the stability time is not influenced by the initial state and can be set in advance. Furthermore, unlike the available predefined-time control studies, a new parameter adaptive law and virtual controllers are designed. This design not only ensures the predefined-time stability, but overcomes the singularities of system in coventional backstepping control design because of repeating differentiation for virtual controllers.
The Advantages of Entrepreneurial Holism: A Possible Path to Better and More Sustainable Performance
Authors: Arend Richard J.
Published: September 2024

In the present business environment, the strategic challenge of increasing performance along multiple dimensions simultaneously—e.g., financial, social, and personal—has never been greater. Thus, the purpose of this study is to improve the understanding of how firms can successfully pursue diverse performance goals simultaneously. To that end, specifically, this study’s objectives are to not only explore whether entrepreneurs are more successful than their corporate manager peers in that pursuit but also to explore how being an entrepreneur and being spiritual provide possible paths to being successful in such a pursuit. We draw upon a recent survey of 168 medium-sized venture entrepreneurs and their corporate executive peers in the US to better understand how such integration of roles and goals can be managed. Results indicate that being an entrepreneur and being spiritual lead to greater synergies among the performance outcomes, with some exceptions. The holistic nature underlying the findings has implications for policy (e.g., resource allocation) and for practice in that all firms should be seeking ways to find synergies not only between pairs of outcomes (e.g., profits and CSR) but among networks of outcomes (and at different levels of impact).
Numerical Study of High-g Combustion Characteristics in a Channel with Backward-Facing Steps
Authors: Gong Zhen , Tang Hao
Published: September 2024

High gravity (high-g) combustion can significantly increase flame propagation speed, thereby potentially shortening the axial length of aero-engines and increasing their thrust-to-weight ratio. In this study, we utilized the large eddy simulation model to investigate the combustion characteristics and flame morphology evolution of premixed propane–air flames in a channel with a backward-facing step. The study reveals that both the increase in centrifugal force and flow velocity can enhance pressure fluctuations during combustion and increase the turbulence intensity. The presence of centrifugal force promotes the occurrence of Rayleigh–Taylor instability (RTI) between hot and cold fluids. The combined effects of RTI and Kelvin–Helmholtz instability (KHI) enhance the disturbance between hot and cold fluids, shorten the fuel combustion time, and intensify the dissipation of large-scale vortices. The increase in fluid flow velocity can raise the flame front’s hydrodynamic stretch rate, thereby enhancing the turbulence level during combustion to a certain extent and increasing the fuel consumption rate. When a strong centrifugal force is applied, the global flame propagation speed can be more than doubled. Within a certain range, the increase in high-g field strength can enhance the intensity of RTI and accelerate the transition of RTI to the nonlinear stage.
Application of a Real-Time Field-Programmable Gate Array-Based Image-Processing System for Crop Monitoring in Precision Agriculture
Authors: Antora Sabiha Shahid , Alahe Mohammad Ashik , Chang Young K. , Nguyen-Quang Tri , Heung Brandon
Published: September 2024

Precision agriculture (PA) technologies combined with remote sensors, GPS, and GIS are transforming the agricultural industry while promoting sustainable farming practices with the ability to optimize resource utilization and minimize environmental impact. However, their implementation faces challenges such as high computational costs, complexity, low image resolution, and limited GPS accuracy. These issues hinder timely delivery of prescription maps and impede farmers’ ability to make effective, on-the-spot decisions regarding farm management, especially in stress-sensitive crops. Therefore, this study proposes field programmable gate array (FPGA)-based hardware solutions and real-time kinematic GPS (RTK-GPS) to develop a real-time crop-monitoring system that can address the limitations of current PA technologies. Our proposed system uses high-accuracy RTK and real-time FPGA-based image-processing (RFIP) devices for data collection, geotagging real-time field data via Python and a camera. The acquired images are processed to extract metadata then visualized as a heat map on Google Maps, indicating green area intensity based on romaine lettuce leafage. The RFIP system showed a strong correlation (R2 = 0.9566) with a reference system and performed well in field tests, providing a Lin’s concordance correlation coefficient (CCC) of 0.8292. This study demonstrates the potential of the developed system to address current PA limitations by providing real-time, accurate data for immediate decision making. In the future, this proposed system will be integrated with autonomous farm equipment to further enhance sustainable farming practices, including real-time crop health monitoring, yield assessment, and crop disease detection.
Development of a Robotic Platform with Autonomous Navigation System for Agriculture
Authors: Baltazar Jamil de Almeida , Coelho André Luiz de Freitas , Valente Domingos Sárvio Magalhães , Queiroz Daniel Marçal de , Villar Flora Maria de Melo
Published: September 2024

The development of autonomous agricultural robots using a global navigation satellite system aided by real-time kinematics and an inertial measurement unit for position and orientation determination must address the accuracy, reliability, and cost of these components. This study aims to develop and evaluate a robotic platform with autonomous navigation using low-cost components. A navigation algorithm was developed based on the kinematics of a differential vehicle, combined with a proportional and integral steering controller that followed a point-to-point route until the desired route was completed. Two route mapping methods were tested. The performance of the platform control algorithm was evaluated by following a predefined route and calculating metrics such as the maximum cross-track error, mean absolute error, standard deviation of the error, and root mean squared error. The strategy of planning routes with closer waypoints reduces cross-track errors. The results showed that when adopting waypoints every 3 m, better performance was obtained compared to waypoints only at the vertices, with maximum cross-track error being 44.4% lower, MAE 64.1% lower, SD 39.4% lower, and RMSE 52.5% lower. This study demonstrates the feasibility of developing autonomous agricultural robots with low-cost components and highlights the importance of careful route planning to optimize navigation accuracy.
Image Analysis Artificial Intelligence Technologies for Plant Phenotyping: Current State of the Art
Authors: Maraveas Chrysanthos
Published: September 2024

Modern agriculture is characterized by the use of smart technology and precision agriculture to monitor crops in real time. The technologies enhance total yields by identifying requirements based on environmental conditions. Plant phenotyping is used in solving problems of basic science and allows scientists to characterize crops and select the best genotypes for breeding, hence eliminating manual and laborious methods. Additionally, plant phenotyping is useful in solving problems such as identifying subtle differences or complex quantitative trait locus (QTL) mapping which are impossible to solve using conventional methods. This review article examines the latest developments in image analysis for plant phenotyping using AI, 2D, and 3D image reconstruction techniques by limiting literature from 2020. The article collects data from 84 current studies and showcases novel applications of plant phenotyping in image analysis using various technologies. AI algorithms are showcased in predicting issues expected during the growth cycles of lettuce plants, predicting yields of soybeans in different climates and growth conditions, and identifying high-yielding genotypes to improve yields. The use of high throughput analysis techniques also facilitates monitoring crop canopies for different genotypes, root phenotyping, and late-time harvesting of crops and weeds. The high throughput image analysis methods are also combined with AI to guide phenotyping applications, leading to higher accuracy than cases that consider either method. Finally, 3D reconstruction and a combination with AI are showcased to undertake different operations in applications involving automated robotic harvesting. Future research directions are showcased where the uptake of smartphone-based AI phenotyping and the use of time series and ML methods are recommended.
Optimization of the Design of a Greenhouse LED Luminaire with Immersion Cooling
Authors: Tikhonov Pavel V. , Smirnov Alexander A. , Proshkin Yuri A. , Burynin Dmitry A. , Kachan Sergey A. , Dorokhov Alexey S.
Published: September 2024

Modern agriculture, with the use of artificial lighting, requires high-intensity LED luminaires with compact dimensions. In this regard, new approaches to the design of LED luminaires using both new materials and technical solutions have been considered. The theoretical evaluation of the influence of different materials on the efficiency of removal of thermal energy from LEDs was shown. A new material PMS-5 is proposed and evaluated as an immersion liquid, which can be used as an effective heat sink in the lower part of the luminaire up to the level of LEDs located in the top light LED luminaires. The proposed polymethylsiloxane PMS-5 liquid has more than twice the thermal conductivity (0.167 W/(m·K)) of HFE7200 and NS15 liquids used in immersion-cooled LED luminaires. Based on the theoretical evaluation, the requirements for parameters, such as metal profile area, immersion liquid volume, wall thickness area, and external area of the cylinder, are highlighted and shown. The noted parameters have a key role in the design of an efficient top light LED luminaire. It has been shown that the design of the metal profile significantly affects the efficiency of the removal of thermal energy from LEDs and it is necessary to use specialized profiles optimized for the diameter of the LED luminaire cylinder. A number of LED luminaire designs were proposed, depending on the thermal properties of the construction materials, technical and economic performance, as well as actual operating and installation conditions. The analysis of the presented theoretical evaluations allowed overlay of the design basis of LED luminaires within the presented concept and top light.