bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on vehicle path planning of automated guided vehicle with simultaneous pickup and delivery with mixed time windows
Authors: Jiang Zhengrui , Chen Wang , Zheng Xiaojun , Gao Feng
Published: May 2024

The authors investigate new Automated Guided Vehicle (AGV) Routing Problem with Simultaneous Pickup and Delivery with Mixed Time Windows (VRPSPDMTW) in smart workshops, a variation of the classic Vehicle Routing Problem (VRP). A mixed time window vehicle routing model was developed for simultaneous deliveries. This model reduces the cost of AGVs used and distribution cost, along with time window penalties. To address this complex challenge, a Hybrid Adaptive Genetic Algorithm using Variable Neighbourhood Search (AGA‐VNS) is proposed. This algorithm enhances the genetic algorithm's local search capabilities while preserving solution diversity, thereby improving both efficiency and quality of solutions. Comprehensive computational experiments are conducted, which include both VRPSPDTW test benchmark and real‐world smart factory instance studies. The outcomes reveal that the AGA‐VNS algorithm outperforms both professional solver software and advanced heuristic methods significantly. Moreover, the newly developed mixed time window model is more aligned with the requirements of real‐world production processes compared to the traditional time window model. Thus, this research not only presents novel insights into the domain of vehicle routing problems but also demonstrates its significant applicability and potential in the background of intelligent workshops.
DeepGCN based on variable multi‐graph and multimodal data for ASD diagnosis
Authors: Liu Shuaiqi , Wang Siqi , Sun Chaolei , Li Bing , Wang Shuihua , Li Fei
Published: May 2024

Diagnosing individuals with autism spectrum disorder (ASD) accurately faces great challenges in clinical practice, primarily due to the data's high heterogeneity and limited sample size. To tackle this issue, the authors constructed a deep graph convolutional network (GCN) based on variable multi‐graph and multimodal data (VMM‐DGCN) for ASD diagnosis. Firstly, the functional connectivity matrix was constructed to extract primary features. Then, the authors constructed a variable multi‐graph construction strategy to capture the multi‐scale feature representations of each subject by utilising convolutional filters with varying kernel sizes. Furthermore, the authors brought the non‐imaging information into the feature representation at each scale and constructed multiple population graphs based on multimodal data by fully considering the correlation between subjects. After extracting the deeper features of population graphs using the deep GCN(DeepGCN), the authors fused the node features of multiple subgraphs to perform node classification tasks for typical control and ASD patients. The proposed algorithm was evaluated on the Autism Brain Imaging Data Exchange I (ABIDE I) dataset, achieving an accuracy of 91.62% and an area under the curve value of 95.74%. These results demonstrated its outstanding performance compared to other ASD diagnostic algorithms.
Bottom‐bounce ray angle subspace detector in the shadow zone of deep water
Authors: Liu Jia‐peng , Sun Chao , Li Ming‐yang , Wang Xuan
Published: May 2024

Passive source detection is a challenging problem in the shadow zone, where the sound is contributed primarily by bottom‐bounce rays. The conventional beamforming detector (CBFD), which utilises the sound energy from a single direction, suffers potential significant performance degradation in the multipath‐signal scenario. The matched field detector (MFD) offers optimal performance by exploiting full‐wave field characteristics but is limited due to its reliance on prior ocean environmental knowledge. The authors demonstrate that the incident sound on a near‐surface vertical line array in the shadow zone can be approximated as a coherent sum of two plane waves that share a symmetric arrival angle about the horizontal. This leads to the signal subspace depending only on the arrival angle, which the authors call the bottom‐bounce ray angle subspace (BRAS). With generalised likelihood ratio test theory, the authors further derive the BRAS detector (BRASD). It can utilise the full signal energy under the premise of weak environmental knowledge requirements and is generally superior to the CBFD. Simulation results in a typical deep‐water channel under different source‐position and array configuration conditions demonstrate the effectiveness of the BRASD and suggest that it can even offer a performance comparable to that of the MFD under specific conditions.
Cervical Diastematomyelia: A Case Presentation and Systematic Review
Authors: Zhang Jeff F. , Strelko Oleksandr , Komarov Oleksandr , Kuts-Karpenko Viktoriia , Forbes Jonathan A , Fedorko Ostap , Tomycz Luke D.
Published: May 2024

Diastematomyelia is a rare congenital disorder characterized by the separation of the spinal cord by an osseocartilaginous or fibrous septum. While diastematomyelia has been reported to be more common in the thoracic and lumbar regions, the true incidence of cervical diastematomyelia is currently unknown. In this study, we conducted the most comprehensive systematic review to date of all other case reports of diastematomyelia to better characterize the incidence of cervical diastematomyelia and provide comprehensive statistics on the clinical characteristics of diastematomyelia generally. Ninety-one articles were included in our study, which comprised 252 males (27.9%) and 651 females (72.0%) (and one patient with unspecified gender). In 507 cases, the vertebral level of the diastematomyelia was described, and we recorded those levels as either cervical (n = 8, 1.6%), thoracic (n = 220, 43.4%), lumbar (n = 277, 54.6%), or sacral (n = 2, 0.4%). In 719 cases, the type of diastematomyelia was specified as either Type I (n = 482, 67.0%) or Type II (n = 237, 33.0%). Our study found that diastematomyelia has been reported in the cervical region in only 1.6% of cases, and we provide comprehensive data that this disorder occurs in female-to-male ratio of approximately 2.6:1 and Type I versus Type II diastematomyelia in an estimated ratio of 2:1.
E-commerce and foreign direct investment: pioneering a new era of trade strategies
Authors: He Yugang
Published: May 2024

This study explores the dynamic interplay between foreign direct investment, e-commerce, and China’s export growth from 2005 to 2022 against the backdrop of the rapidly evolving global economy. Utilizing advanced analytical models that combine province- and year-fixed effects with fully modified ordinary least squares and dynamic ordinary least-squares methodologies, we delve into how foreign direct investment and e-commerce collectively boost China’s export capabilities. Our findings highlight a significant alignment between China’s export expansion and the global sustainable development agenda. We observe that China’s export growth transcends mere international investment and digital market engagement, incorporating sustainable practices such as effective utilization of local labor resources and an emphasis on technological advancements. This study also uncovers how knowledge capital and educational attainment positively impact export figures. A notable regional disparity is observed, with the eastern regions of China being more responsive to foreign direct investment and e-commerce influences on export trade compared to their western counterparts. This disparity underscores the need for region-specific policy approaches and sustainable strategies to evenly distribute the benefits of foreign direct investment and e-commerce. The study concludes that while foreign direct investment and e-commerce are crucial for China’s export growth, the underlying theme is sustainable development, with technological innovation and human capital being key to ongoing export success. The findings advocate for policies that balance economic drivers with sustainable development goals, ensuring both economic prosperity and environmental sustainability.
Centrosome age breaks spindle size symmetry even in cells thought to divide symmetrically
Authors: Thomas Alexandre , Meraldi Patrick
Published: May 2024

Centrosomes are the main microtubule-organizing centers in animal cells. Due to the semiconservative nature of centrosome duplication, the two centrosomes differ in age. In asymmetric stem cell divisions, centrosome age can induce an asymmetry in half-spindle lengths. However, whether centrosome age affects the symmetry of the two half-spindles in tissue culture cells thought to divide symmetrically is unknown. Here, we show that in human epithelial and fibroblastic cell lines centrosome age imposes a mild spindle asymmetry that leads to asymmetric cell daughter sizes. At the mechanistic level, we show that this asymmetry depends on a cenexin-bound pool of the mitotic kinase Plk1, which favors the preferential accumulation on old centrosomes of the microtubule nucleation–organizing proteins pericentrin, γ-tubulin, and Cdk5Rap2, and microtubule regulators TPX2 and ch-TOG. Consistently, we find that old centrosomes have a higher microtubule nucleation capacity. We postulate that centrosome age breaks spindle size symmetry via microtubule nucleation even in cells thought to divide symmetrically.
The origin of betaine in mouse oocytes and preimplantation embryos
Authors: McIntosh Emily R , McClatchie Taylor , Lee Martin , Zeisel Steven H , Jurisicova Andrea , Baltz Jay M
Published: May 2024

Betaine has important roles in preimplantation mouse embryos, including as an organic osmolyte that functions in cell volume regulation in the early preimplantation stages and as a donor to the methyl pool in blastocysts. The origin of betaine in oocytes and embryos was largely unknown. Here, we found that betaine was present from the earliest stage of growing oocytes. Neither growing oocytes nor early preantral follicles could take up betaine, but antral follicles were able to transport betaine and supply the enclosed oocyte. Betaine is synthesized by choline dehydrogenase, and female mice lacking Chdh did not have detectable betaine in their oocytes or early embryos. Supplementing betaine in their drinking water restored betaine in the oocyte only when supplied during the final stages of antral follicle development but not earlier in folliculogenesis. Together with the transport results, this implies that betaine can only be exogenously supplied during the final stages of oocyte growth. Previous work showed that the amount of betaine in the oocyte increases sharply during meiotic maturation due to upregulated activity of choline dehydrogenase within the oocyte. This betaine present in mature eggs was retained after fertilization until the morula stage. There was no apparent role for betaine uptake via the SIT1 (SLC6A20) betaine transporter that is active at the 1- and 2-cell stages. Instead, betaine was apparently retained because its major route of efflux, the volume-sensitive organic osmolyte – anion channel, remained inactive, even though it is expressed and capable of being activated by a cell volume increase.
Aberrant connectivity in the hippocampus, bilateral insula and temporal poles precedes treatment resistance in first-episode psychosis: a prospective resting-state functional magnetic resonance imaging study with connectivity concordance mapping
Authors: Skouras Stavros , Kleinert Maria-Lisa , Lee Edwin H M , Hui Christy L M , Suen Yi Nam , Camchong Jazmin , Chong Catherine S Y , Chang Wing Chung , Chan Sherry K W , Lo William T L , Lim Kelvin O , Chen Eric Y H
Published: May 2024

Functional connectivity resting-state functional magnetic resonance imaging has been proposed to predict antipsychotic treatment response in schizophrenia. However, only a few prospective studies have examined baseline resting-state functional magnetic resonance imaging data in drug-naïve first-episode schizophrenia patients with regard to subsequent treatment response. Data-driven approaches to conceptualize and measure functional connectivity patterns vary broadly, and model-free, voxel-wise, whole-brain analysis techniques are scarce. Here, we apply such a method, called connectivity concordance mapping to resting-state functional magnetic resonance imaging data acquired from an Asian sample (n = 60) with first-episode psychosis, prior to pharmaceutical treatment. Using a longitudinal design, 12 months after the resting-state functional magnetic resonance imaging, we measured and classified patients into two groups based on psychometric testing: treatment responsive and treatment resistant. Next, we compared the two groups’ connectivity concordance maps that were derived from the resting-state functional magnetic resonance imaging data at baseline. We have identified consistently higher functional connectivity in the treatment-resistant group in a network including the left hippocampus, bilateral insula and temporal poles. These data-driven novel findings can help researchers to consider new regions of interest and facilitate biomarker development in order to identify treatment-resistant schizophrenia patients early, in advance of treatment and at the time of their first psychotic episode.
Investigation of performance and emission characteristics using ethanol-blended gasoline fuel as a flex-fuel in two-wheeler vehicle mounted on a chassis dynamometer
Authors: Gupta Sourabh , Kanchan Sumit , Kaur Rupinder , Sandhu Sarbjot Singh
Published: May 2024

This study investigated the performance and emissions of flex fuels in a 110-cc BS6-compliant fuel-injected two-wheeler without ethanol adaptation adjustments. The tests were carried out under controlled conditions on a chassis dynamometer at 1000, 2000 and 3000 r.p.m. using ethanol blends from 10% ethanol (E10) to 85% ethanol (E85). Parameters examined included brake power (BP) output, brake-specific fuel consumption (BSFC), peak in-cylinder pressure and exhaust temperature. Emissions, including carbon monoxide (CO), hydrocarbons (HC), nitrogen oxide (NOx) and unregulated emissions, were also assessed. As the percentages of the ethanol blend increased from E10 to E85, there was a noticeable improvement in power output. At 1000 r.p.m., the BP ranged from 2.4 to 4.6 kW for different blends. The BSFC and the peak in-cylinder pressure followed a similar pattern, indicating enhanced performance and fuel efficiency with higher ethanol concentrations. Interestingly, using E85 at 1000 r.p.m. resulted in a significant 41.08% reduction in exhaust temperature compared with E10, although this difference decreased with higher blend percentages. Furthermore, replacing E10 with E85 at 1000 r.p.m. reduced CO and HC emissions by 9.17% and 38.34%, respectively. In contrast, NOx emissions increased at all r.p.m. levels with higher-ethanol blends, peaking at a 415 parts per million increase at 3000 r.p.m. However, unregulated emissions decreased significantly with increased r.p.m. and ethanol content. In summary, the use of flex-fuel blends in a two-wheeler resulted in a modest increase in BP output, improved fuel efficiency and lower CO and HC emissions. These findings are vital for optimizing ethanol blend utilization in two-wheeler engines under low-load conditions, considering both performance and environmental aspects.
Graphene oxide–lithium-ion batteries: inauguration of an era in energy storage technology
Authors: Mishra Yachana , Chattaraj Aditi , Aljabali Alaa AA , El-Tanani Mohamed , Tambuwala Murtaza M , Mishra Vijay
Published: May 2024

A significant driving force behind the brisk research on rechargeable batteries, particularly lithium-ion batteries (LiBs) in high-performance applications, is the development of portable devices and electric vehicles. Carbon-based materials, which have finite specific capacity, make up the anodes of LiBs. Many attempts are being made to produce novel nanostructured composite anode materials for LiBs that display cycle stability that is superior to that of graphite using graphene oxide. Therefore, using significant amounts of waste graphene oxide from used LiBs represents a fantastic opportunity to engage in waste management and circular economy. This review outlines recent studies, developments and the current advancement of graphene oxide-based LiBs, including preparation of graphene oxide and utilization in LiBs, particularly from the perspective of energy storage technology, which has drawn more and more attention to creating high-performance electrode systems.
Wind energy feasibility and wind turbine selection studies for the city Surat, India
Authors: P S Arshi Banu , Bhadani Maanat
Published: May 2024

Wind energy represents a clean, abundant and cost-effective power source, fostering job growth and environmental mitigation. Although wind energy harnesses several gigawatts today, its availability hinges on diverse factors, with geographical location standing out. Commercial turbines, with varying capacity ranges, saturate the market. Locating site-specific suitability and matching the appropriate turbine to meet specific requirements are of paramount importance. This study aims to assess the feasibility of wind energy in Surat, Gujarat, India and select an optimal small commercial turbine for residential use. The research involves Rayleigh and Weibull probability distribution functions based on yearlong velocity data. These distributions are fitted with actual data, revealing the most probable velocity (vmf = 3 m/s) and velocity at maximum power (vpmax = 5 m/s). The power availability of the site has been assessed as 42.6 W/m2 using both graphical and analytical methods. Several commercial turbines have been shortlisted based on on-site power criteria and their specifications are evaluated against site power availability. A comparative analysis culminates in identifying the most suitable turbine for the location. The best suitable turbine for the site with an annual energy yield of 8 MW has been suggested amongst selected turbines for small-scale residential applications.
Building a resilient future: collaborative sustainability regulation
Authors: Job Jovita Shanta , Khanna Shivi
Published: May 2024

The challenge of sustainability lies in achieving a balance between satisfying present needs and protecting resources for future generations with an emphasis on its three pillars—environmental, social and governance. This study explored sustainable development encompassing environmental, social and governance aspects along with sustainability reporting through various sustainability frameworks. A systematic review of literature for the period 2010–23 on major worldwide sustainability frameworks was conducted, by offering insights into enhancing reporting mechanisms for a sustainable future. Secondary data related to sustainability reports were obtained from the Sustainability Accounting Standards Board and International Integrated Reporting Council, which helped in examining sector and year variations across countries. The results reflected that mandatory sustainability disclosures help to meet the United Nations Sustainable Development Goals and global sustainability frameworks help to set standards, disseminate information and promote transparency. Collaboration of investment, company action and sustainability organizations can lead to a sustainable global economy. The adoption of sustainability reporting can help organizations by fostering a proper understanding of sustainability practices, improving transparency and identifying potential business opportunities in sectors with lower sustainability. The paper provided insights into sustainability reporting published across various countries in both advanced as well as emerging and developing economies. The analysis showed which sectors and time periods have had the most sustainability reports and which areas needed to be targeted for action to advance sustainable development.
Synthesis of Magnetic Attapulgite Nanoparticles Via a Novel Surface Covalent Reaction Method and its Application in the Magnetic Solid Phase Extraction
Authors: Wu Shuaibin , Peng Xuejuan
Published: May 2024

In this study, the attapulgite nanoparticle was immobilized on the surface of magnetic nanoparticle Fe3O4 via a novel surface covalent reaction method for the magnetic solid phase extraction (MSPE) for the first time. The surface covalent reaction method has the advantages of controllable steps, and can make the magnetic attapulgite nanoparticle (MANP) have good homogeneity and high stability. Field emission scanning electron microscopy, equipped with an energy dispersive spectrometer, Nitrogen adsorption BET, X-ray diffraction and Fourier transform infrared spectroscopy were applied to characterize the prepared MANP, confirming that the attapulgite nanoparticle could be effectively immobilized on the surface of magnetic nanoparticle Fe3O4 via covalent reactions. Under optimal conditions of the MSPE experiment based on the MANP, the limits of detection were found to be 10 ng/mL for melamine and 3 ng/mL for cyromazine with a relative standard deviation < 10% by a high-performance liquid chromatography system. Meanwhile, 0.1 mg/mL melamine in milk and 0.1 mg/mL cyromazine in cucumber can also be detected according to our MSPE procedure. More importantly, the MANP still has good magnetism and enrichment efficiency after several decades of use. These results showed that the MANP prepared by our method is a kind of promising material for the MSPE.
The efficacy and safety of rituximab with or without glucocorticoid in inducing remission of MCD with different clinical presentations in adults: a retrospective study
Authors: Sun Yujiao , Li Zhuo , Sun Jing , Zhang Shasha , Wang Rong , Chen Bing
Published: May 2024

Background

To investigate the efficacy and safety of rituximab (RTX) with or without glucocorticoid (GC) in inducing remission of minimal change disease (MCD) in adults.

Methods

Twenty-one adult MCD patients were included in the study. The patients were assigned to the following three groups according to their background before RTX treatment: an RTX single drug direct induction treatment group (Group A; n = 9), a short-term, low-dose GC combined with RTX induction treatment group (Group B; n = 4), and a short-term, adequate-dose GC-induced remission and RTX maintenance treatment group (Group C; n = 8). The primary endpoints were the time to induction of remission and the rate of clinical remission at 12 months.

Results

All patients achieved clinical remission, with 19 (90.48%) achieving complete remission (CR), and the median remission time was 4 (2.5, 12) weeks. Eight (88.89%) patients in Group A achieved CR, and the median remission time was 3 (2.25, 14) weeks. In Group B, three (75.00%) patients achieved CR, with a median remission time of 4 (4, 10) weeks. In Group C, eight (100.00%) patients achieved CR, and the median remission time was 3.5 (2, 4) weeks.

Conclusions

In MCD patients without acute kidney injury, adequate RTX alone or short-term combined treatment with low-dose GCs can effectively induce and maintain MCD remission. Adequate short-term GCs combined with RTX maintenance may be an effective alternative for MCD patients in context of acute kidney injury. There is a need to investigate different induction therapy regimens for the remission of MCD patients with different backgrounds.
A systematic review of approaches to assess fish health responses to anthropogenic threats in freshwater ecosystems
Authors: Mallett Maxwell C , Thiem Jason D , Butler Gavin L , Kennard Mark J
Published: May 2024

Anthropogenic threats such as water infrastructure, land-use changes, overexploitation of fishes and other biological resources, invasive species and climate change present formidable challenges to freshwater biodiversity. Historically, management of fish and fishery species has largely been based on studies of population- and community-level dynamics; however, the emerging field of conservation physiology promotes the assessment of individual fish health as a key management tool. Fish health is highly sensitive to environmental disturbances and is also a fundamental driver of fitness, with implications for population dynamics such as recruitment and resilience. However, the mechanistic links between particular anthropogenic disturbances and changes in fish health, or impact pathways, are diverse and complex. The diversity of ways in which fish health can be measured also presents a challenge for researchers deciding on methods to employ in studies seeking to understand the impact of these threats. In this review, we aim to provide an understanding of the pathway through which anthropogenic threats in freshwater ecosystems impact fish health and the ways in which fish health components impacted by anthropogenic threats can be assessed. We employ a quantitative systematic approach to a corpus of papers related to fish health in freshwater and utilize a framework that summarizes the impact pathway of anthropogenic threats through environmental alterations and impact mechanisms that cause a response in fish health. We found that land-use changes were the most prolific anthropogenic threat, with a range of different health metrics being suitable for assessing the impact of this threat. Almost all anthropogenic threats impacted fish health through two or more impact pathways. A robust understanding of the impact pathways of anthropogenic threats and the fish health metrics that are sensitive to these threats is crucial for fisheries managers seeking to undertake targeted management of freshwater ecosystems.
miR-369-3p ameliorates diabetes-associated atherosclerosis by regulating macrophage succinate-GPR91 signalling
Authors: Rawal Shruti , Randhawa Vinay , Rizvi Syed Husain Mustafa , Sachan Madhur , Wara Akm Khyrul , Pérez-Cremades Daniel , Weisbrod Robert M , Hamburg Naomi M , Feinberg Mark W
Published: May 2024

Aims

Diabetes leads to dysregulated macrophage immunometabolism, contributing to accelerated atherosclerosis progression. Identifying critical factors to restore metabolic alterations and promote resolution of inflammation remains an unmet goal. MicroRNAs orchestrate multiple signalling events in macrophages, yet their therapeutic potential in diabetes-associated atherosclerosis remains unclear.

Methods and results

miRNA profiling revealed significantly lower miR-369-3p expression in aortic intimal lesions from Ldlr–/– mice on a high-fat sucrose-containing (HFSC) diet for 12 weeks. miR-369-3p was also reduced in peripheral blood mononuclear cells from diabetic patients with coronary artery disease (CAD). Cell-type expression profiling showed miR-369-3p enrichment in aortic macrophages. In vitro, oxLDL treatment reduced miR-369-3p expression in mouse bone marrow-derived macrophages (BMDMs). Metabolic profiling in BMDMs revealed that miR-369-3p overexpression blocked the oxidized low density lipoprotein (oxLDL)-mediated increase in the cellular metabolite succinate and reduced mitochondrial respiration (OXPHOS) and inflammation [Interleukin (lL)-1β, TNF-α, and IL-6]. Mechanistically, miR-369-3p targeted the succinate receptor (GPR91) and alleviated the oxLDL-induced activation of inflammasome signalling pathways. Therapeutic administration of miR-369-3p mimics in HFSC-fed Ldlr−/− mice reduced GPR91 expression in lesional macrophages and diabetes-accelerated atherosclerosis, evident by a decrease in plaque size and pro-inflammatory Ly6Chi monocytes. RNA-Seq analyses showed more pro-resolving pathways in plaque macrophages from miR-369-3p-treated mice, consistent with an increase in macrophage efferocytosis in lesions. Finally, a GPR91 antagonist attenuated oxLDL-induced inflammation in primary monocytes from human subjects with diabetes.

Conclusion

These findings establish a therapeutic role for miR-369-3p in halting diabetes-associated atherosclerosis by regulating GPR91 and macrophage succinate metabolism.
Uncovering DNA methylation landscapes to decipher evolutionary footprints of phenotypic diversity in chickpea
Authors: Daware Anurag , Mohanty Jitendra K , Narnoliya Laxmi , Singh Akansha , Rathore Deepanshi , Thakro Virevol , Francis Aleena , Singh Nagendra Pratap , Francis Philip , Tripathi Shailesh , Chattopadhyay Debasis , Parida Swarup K
Published: May 2024

Genetic diversity and environmental factors are long believed to be the dominant contributors to phenotypic diversity in crop plants. However, it has been recently established that, besides genetic variation, epigenetic variation, especially variation in DNA methylation, plays a significant role in determining phenotypic diversity in crop plants. Therefore, assessing DNA methylation diversity in crop plants becomes vital, especially in the case of crops like chickpea, which has a narrow genetic base. Thus, in the present study, we employed whole-genome bisulfite sequencing to assess DNA methylation diversity in wild and cultivated (desi and kabuli) chickpea. This revealed extensive DNA methylation diversity in both wild and cultivated chickpea. Interestingly, the methylation diversity was found to be significantly higher than genetic diversity, suggesting its potential role in providing vital phenotypic diversity for the evolution and domestication of the Cicer gene pool. The phylogeny based on DNA methylation variation also indicates a potential complementary role of DNA methylation variation in addition to DNA sequence variation in shaping chickpea evolution. Besides, the study also identified diverse epi-alleles of many previously known genes of agronomic importance. The Cicer MethVarMap database developed in this study enables researchers to readily visualize methylation variation within the genes and genomic regions of their interest (http://223.31.159.7/cicer/public/). Therefore, epigenetic variation like DNA methylation variation can potentially explain the paradox of high phenotypic diversity despite the narrow genetic base in chickpea and can potentially be employed for crop improvement.
Diltiazem reduces levels of NT-proBNP and improves symptoms compared with metoprolol in patients with permanent atrial fibrillation
Authors: Enge Katrine , Tveit Arnljot , Enger Steve , Onarheim Sophia , Pripp Are Hugo , Rønningen Peter Selmer , Solberg Magnar Gangås , Byrkjeland Rune , Andresen Kristoffer , Halsen Anders , Aulie Hanne Aaserud , Steinsvik Trude , Hall Christian , Ulimoen Sara Reinvik
Published: May 2024

Aims

Short-term treatment with calcium channel blockers lowers levels of N-terminal pro B-type natriuretic peptide (NT-proBNP) and reduces rhythm-related symptoms compared to treatment with beta-blockers. The aim of this study was to compare the effects of metoprolol and diltiazem for rate control in patients with permanent atrial fibrillation (AF) after 6 months.

Methods and results

Men and women with permanent AF and preserved left ventricular systolic function were randomized to receive either diltiazem 360 mg or metoprolol 100 mg once daily. The primary endpoint was the level of NT-proBNP after a 6-month treatment period. Secondary endpoints included heart rate, rhythm-related symptoms and exercise capacity. A total of 93 patients (mean age 71 ± 7 years, 28 women) were randomized. After 6-months’ treatment, mean levels of NT-proBNP decreased in the diltiazem group and increased in the metoprolol group, with a significant between-group difference (409.8 pg/mL, 95% CI: 230.6–589.1, P < 0.001). Treatment with diltiazem significantly reduced rhythm-related symptoms compared to baseline, but no change was observed in the metoprolol group. Diltiazem and metoprolol had similar effects on heart rate and exercise capacity.

Conclusion

Diltiazem reduced NT-proBNP levels and improved rhythm-related symptoms. Metoprolol increased peptide levels but had no impact on symptoms despite similar heart rate reduction. Non-dihydropyridine calcium channel blockers should be considered more often for rate control in permanent AF.
Early goal-directed management after out-of-hospital cardiac arrest: lessons from a certified cardiac arrest centre
Authors: Markus Birgit , Patsalis Nikolaos , Müller Charlotte , Chatzis Georgios , Möller Leona , Rupa Rosita , Viniol Simon , Betz Susanne , Schieffer Bernhard , Kreutz Julian
Published: May 2024

Background

Despite continuous advances in post-resuscitation management, the outcome after out-of-hospital cardiac arrest (OHCA) is limited. To improve the outcome, interdisciplinary cardiac arrest centres (CACs) have been established in recent years, but survival remains low, and treatment strategies vary considerably in clinical and geographical aspects. Here we analysed a strategy of in-hospital post-resuscitation management while evaluating the outcome.

Methods

A broad spectrum of pre- and in-hospital parameters of 545 resuscitated patients admitted to the Cardiac Arrest Center of the University Hospital of Marburg between January 2018 and December 2022 were retrospectively analysed. Inclusion criteria were ≥18 years, resuscitation by emergency medical services, and non-traumatic cause of OHCA.

Results

In the overall patient cohort, the survival rate to hospital discharge was 39.8% (n = 217/545), which is 50.7% higher than in the EuReCa-TWO registry. A total of 77.2% of the survivors had CPC status 1 or 2 (favourable neurological outcome) before and after therapy. A standardized ‘therapy bundle’ for in-hospital post-resuscitation management was applied to 445 patients who survived the initial treatment in the emergency department. In addition to basic care (standardized antimicrobial therapy, adequate anticoagulation, targeted sedation, early enteral, and parenteral nutrition), it includes early whole-body CT (n = 391; 87.9%), invasive coronary diagnostics (n = 322; 72.4%), targeted temperature management (n = 293; 65.8%), and if indicated, mechanical circulatory support (n = 145; 32.6%), and appropriate neurological diagnostics.

Conclusions

Early goal-directed post-resuscitation management in a well-established and highly frequented CAC leads to significantly higher survival rates. However, our results underline the need for a broader standardization in post-resuscitation management to ultimately improve the outcome.
Competing risks of monomorphic vs. non-monomorphic ventricular arrhythmias in primary prevention implantable cardioverter–defibrillator recipients: Global Electrical Heterogeneity and Clinical Outcomes (GEHCO) study
Authors: Tereshchenko Larisa G , Waks Jonathan W , Tompkins Christine , Rogers Albert J , Ehdaie Ashkan , Henrikson Charles A , Dalouk Khidir , Raitt Merritt , Kewalramani Shivangi , Kattan Michael W , Santangeli Pasquale , Wilkoff Bruce W , Kapadia Samir R , Narayan Sanjiv M , Chugh Sumeet S
Published: May 2024

Aims

Ablation of monomorphic ventricular tachycardia (MMVT) has been shown to reduce shock frequency and improve survival. We aimed to compare cause-specific risk factors for MMVT and polymorphic ventricular tachycardia (PVT)/ventricular fibrillation (VF) and to develop predictive models.

Methods and results

The multicentre retrospective cohort study included 2668 patients (age 63.1 ± 13.0 years; 23% female; 78% white; 43% non-ischaemic cardiomyopathy; left ventricular ejection fraction 28.2 ± 11.1%). Cox models were adjusted for demographic characteristics, heart failure severity and treatment, device programming, and electrocardiogram metrics. Global electrical heterogeneity was measured by spatial QRS-T angle (QRSTa), spatial ventricular gradient elevation (SVGel), azimuth, magnitude (SVGmag), and sum absolute QRST integral (SAIQRST). We compared the out-of-sample performance of the lasso and elastic net for Cox proportional hazards and the Fine–Gray competing risk model. During a median follow-up of 4 years, 359 patients experienced their first sustained MMVT with appropriate implantable cardioverter–defibrillator (ICD) therapy, and 129 patients had their first PVT/VF with appropriate ICD shock. The risk of MMVT was associated with wider QRSTa [hazard ratio (HR) 1.16; 95% confidence interval (CI) 1.01–1.34], larger SVGel (HR 1.17; 95% CI 1.05–1.30), and smaller SVGmag (HR 0.74; 95% CI 0.63–0.86) and SAIQRST (HR 0.84; 95% CI 0.71–0.99). The best-performing 3-year competing risk Fine–Gray model for MMVT [time-dependent area under the receiver operating characteristic curve (ROC(t)AUC) 0.728; 95% CI 0.668–0.788] identified high-risk (> 50%) patients with 75% sensitivity and 65% specificity, and PVT/VF prediction model had ROC(t)AUC 0.915 (95% CI 0.868–0.962), both satisfactory calibration.

Conclusion

We developed and validated models to predict the competing risks of MMVT or PVT/VF that could inform procedural planning and future randomized controlled trials of prophylactic ventricular tachycardia ablation.

Clinical Trial Registration

URL:www.clinicaltrials.gov Unique identifier:NCT03210883.
Starvation hepatitis and refeeding-induced hepatitis: mechanism, diagnosis, and treatment
Authors: Biolato Marco , Terranova Rosy , Policola Caterina , Pontecorvi Alfredo , Gasbarrini Antonio , Grieco Antonio
Published: May 2024

Anorexia nervosa (AN) is one of the most common psychiatric disorders among young adults and is associated with a substantial risk of death from suicide and medical complications. Transaminase elevations are common in patients with AN at the time of hospital admission and have been associated with longer lengths of hospital stay. Multiple types of hepatitis may occur in these patients, including two types that occur only in patients with AN: starvation hepatitis and refeeding-induced hepatitis. Starvation hepatitis is characterized by severe transaminase elevation in patients in the advanced phase of protein-energy deprivation and is associated with complications of severe starvation, such as hypoglycaemia, hypothermia, and hypotension. Refeeding-induced hepatitis is characterized by a milder increase in transaminases that occurs in the early refeeding phase and is associated with hypophosphatemia, hypokalemia, and hypomagnesaemia. Among the most common forms of hepatitis, drug-induced liver injury is particularly relevant in this patient cohort, given the frequent use and abuse of methamphetamines, laxatives, antidepressants, and antipsychotics. In this review, we provided an overview of the different forms of anorexic-associated hepatitis, a diagnostic approach that can help the clinician to correctly frame the problem, and indications on their management and treatment.
The estimation of b-value of the frequency–magnitude distribution and of its 1σ intervals from binned magnitude data
Authors: Tinti S , Gasperini P
Published: May 2024

The estimation of the slope (b-value) of the frequency–magnitude distribution of earthquakes is based on a formula derived by Aki decades ago, assuming a continuous exponential distribution. However, as the magnitude is usually provided with a limited resolution, its distribution is not continuous but discrete. In the literature, this problem was initially solved by an empirical correction (due to Utsu) to the minimum magnitude, and later by providing an exact formula such as that by Tinti and Mulargia, based on the geometric distribution theory. A recent paper by van der Elst showed that the b-value can be estimated also by considering the magnitude differences (which are proven to follow an exponential discrete Laplace distribution) and that in this case the estimator is more resilient to the incompleteness of the magnitude data set. In this work, we provide the complete theoretical formulation including (i) the derivation of the means and standard deviations of the discrete exponential and Laplace distributions; (ii) the estimators of the decay parameter of the discrete exponential and trimmed Laplace distributions and (iii) the corresponding formulas for the parameter b. We deduce (iv) the standard 1σ intervals for the estimated b. Moreover, we are able (v) to quantify the error associated with the Utsu minimum-magnitude correction. Furthermore, we have discussed the formulas to produce statistically independent magnitude differences. We tested extensively the b-value estimators on simulated synthetic data sets including complete catalogues as well as catalogues affected by a strong incompleteness degree such as aftershock sequences where the incompleteness is made to vary from one event to the next. We have also analysed the real aftershock sequence of the 30/10/2016 Norcia (central Italy) to integrate the finding of the simulations. To judge the performance of the various estimators we have introduced an index p that can be seen as a non-parametric extension of the Student's t index. The main outcomes of this paper are that (1) the b-value estimators devised for continuous magnitude data are not adequate for binned magnitudes, (2) for complete data sets, estimators based on magnitudes and on magnitude differences provide substantially equivalent results, (3) for incomplete magnitude data sets, estimators based on magnitude differences provide better results and (4) for incomplete aftershock sequences there is no evidence that methods based on positive magnitude differences are superior than other methods using differences. This conclusion is further confirmed by our analysis of the above-mentioned Norcia seismic sequence. This last finding contrasts with the van der Elst's claim that the so called ${{b}_ + }$ method is the most adequate to treat real aftershock sequences.
A quantum computing concept for 1-D elastic wave simulation with exponential speedup
Authors: Schade Malte , Bösch Cyrill , Hapla Václav , Fichtner Andreas
Published: May 2024

Quantum computing has attracted considerable attention in recent years because it promises speedups that conventional supercomputers cannot offer, at least for some applications. Though existing quantum computers (QCs) are, in most cases, still too small to solve significant problems, their future impact on domain sciences is already being explored now. Within this context, we present a quantum computing concept for 1-D elastic wave propagation in heterogeneous media with two components: a theoretical formulation and an implementation on a real QC. The method rests on a finite-difference approximation, followed by a sparsity-preserving transformation of the discrete elastic wave equation to a Schrödinger equation, which can be simulated directly on a gate-based QC. An implementation on an error-free quantum simulator verifies our approach and forms the basis of numerical experiments with small problems on the real QC IBM Brisbane. The latter produce simulation results that qualitatively agree with the error-free version but are contaminated by quantum decoherence and noise effects. Complementing the discrete transformation to the Schrödinger equation by a continuous version allows the replacement of finite differences by other spatial discretization schemes, such as the spectral-element method. Anticipating the emergence of error-corrected quantum chips, we analyse the computational complexity of the best quantum simulation algorithms for future QCs. This analysis suggests that our quantum computing approach may lead to wavefield simulations that run exponentially faster than simulations on classical computers.
Microbe-cellulose hydrogels as a model system for particulate carbon degradation in soil aggregates
Authors: Candry Pieter , Godfrey Bruce J , Winkler Mari Karoliina-Henriikka
Published: May 2024

Particulate carbon (C) degradation in soils is a critical process in the global C cycle governing greenhouse gas fluxes and C storage. Millimeter-scale soil aggregates impose strong controls on particulate C degradation by inducing chemical gradients of e.g. oxygen, as well as limiting microbial mobility in pore structures. To date, experimental models of soil aggregates have incorporated porosity and chemical gradients but not particulate C. Here, we demonstrate a proof-of-concept encapsulating microbial cells and particulate C substrates in hydrogel matrices as a novel experimental model for soil aggregates. Ruminiclostridium cellulolyticum was co-encapsulated with cellulose in millimeter-scale polyethyleneglycol-dimethacrylate (PEGDMA) hydrogel beads. Microbial activity was delayed in hydrogel-encapsulated conditions, with cellulose degradation and fermentation activity being observed after 13 days of incubation. Unexpectedly, hydrogel encapsulation shifted product formation of R. cellulolyticum from an ethanol-lactate-acetate mixture to an acetate-dominated product profile. Fluorescence microscopy enabled simultaneous visualization of the PEGDMA matrix, cellulose particles, and individual cells in the matrix, demonstrating growth on cellulose particles during incubation. Together, these microbe-cellulose-PEGDMA hydrogels present a novel, reproducible experimental soil surrogate to connect single cells to process outcomes at the scale of soil aggregates and ecosystems.
Speaking of Godot: Fiction, Reference, and Indeterminate Identities
Authors: Alward Peter
Published: May 2024

Everett (2005) has argued that fictional realism runs into insuperable difficulties when faced with fictional stories in which there are indeterminate identities. By appeal to a principle linking the individuation of characters within stories and without, Everett argues that such stories entail that there are indeterminate identities outside of fiction on the fictional realist picture. And although indeterminate identities are perfectly acceptable within fiction, they are intolerable in the (nonfictional) world itself. In this paper, I develop the “extended-game” model of fiction according to which fictional characters are props—and, hence, potential objects of reference—in authorized games of make-believe for fictional works in which they appear but do not originate but are neither props nor potential objects of reference in authorized games for works in which they do originate. And I argue that this entails that Everett’s linking principle, on which his argument depends, simply fails to apply.
Screening the Implant-Augmented Breast with Digital Breast Tomosynthesis: Is Tomosynthesis Necessary for Non-implant-Displaced Views?
Authors: Nguyen Derek L , Grimm Lars J , Nelson Jeffrey S , Johnson Karen S , Ghate Sujata V
Published: May 2024

Objective

To determine cancer visualization utility and radiation dose for non-implant-displaced (ID) views using standard protocol with digital breast tomosynthesis (DBT) vs alternative protocol with 2D only when screening women with implant augmentation.

Methods

This retrospective cohort study identified women with implants who underwent screening DBT examinations that had abnormal findings from July 28, 2014, to December 31, 2021. Three fellowship-trained breast radiologists independently reviewed examinations retrospectively to determine if the initially identified abnormalities could be visualized on standard protocol (DBT with synthesized 2D (S2D) for ID and non-ID views) and alternate protocol (DBT with S2D for ID and only the S2D images for non-ID views). Estimated exam average glandular dose (AGD) and associations between cancer visualization with patient and implant characteristics for both protocols were evaluated.

Results

The study included 195 patients (mean age 55 years ± 10) with 223 abnormal findings. Subsequent biopsy was performed for 86 abnormalities: 59 (69%) benign, 8 (9%) high risk, and 19 (22%) malignant. There was no significant difference in malignancy visualization rate between standard (19/223, 8.5%) and alternate (18/223, 8.1%) protocols (P = .92), but inclusion of the DBT for non-ID views found one additional malignancy. Total examination AGD using standard protocol (21.9 mGy ± 5.0) was significantly higher than it would be for estimated alternate protocol (12.6 mGy ± 5.0, P <.001). This remained true when stratified by breast thickness: 6.0-7.9 cm, 8.0-9.9 cm, >10.0 cm (all P <.001).

Conclusion

The inclusion of DBT for non-ID views did not significantly increase the cancer visualization rate but did significantly increase overall examination AGD.