bluuebunny/crossref_metadata_2025_split huggingface dataset:
Plant bioactive compounds and their mechanistic approaches in the treatment of diabetes: a review
Authors: Anshika  , Pandey Rupesh Kumar , Singh Lubhan , Kumar Sokindra , Singh Prabhat , Pathak Manish , Jain Shruti 
Published: December 2022

Abstract
Background
Diabetes mellitus (DM) is a growing disease across the world; diabetes is a complex metabolic disorder in which blood glucose concentration level increases and continue for a prolonged period due to a decrease secretion of insulin or action, resulting in the disorder of carbohydrate, lipid, and protein metabolism. The plant-related bioactive compounds have proven their efficacy with least toxicities and can be utilized for the disease treatment. Our objective is to elucidate the mechanism of action of plant bioactive compounds which can give future direction in diabetes treatment.

Main body
In this review paper, we briefly study more than 200 research papers related to disease and bioactive compounds that have therapeutic applicability in treatment. The plant contains many bio-active compounds which possess in vitro and in vivo anti-diabetic effect which may be responsible for the hypoglycaemic property by inhibiting the digestive enzyme i.e. alpha-amylase and alpha-glucosidase, by producing mimetic action of insulin, by reducing the oxidative stress, by showing antihyperglycemic activity and hypolipidemic activity, by inhibition of aldose reductase, and by increasing or enhancing glucose uptake and insulin secretion.

Conclusion
Our study revealed that terpenes, tannin, flavonoids, saponin, and alkaloids are important bioactive constituents for anti-diabetic activity. The mechanistic approach on alpha-glucosidase and alpha-amylase, hypolipidemic activity, and AR inhibitory action clear-cut explain the therapeutic applicability of these bioactive compounds in disease. Plants that contain these bioactive compounds can be good drug candidates for future research on diabetes treatment.
Metformin in therapeutic applications in human diseases: its mechanism of action and clinical study
Authors: Du Yang , Zhu Ya-Juan , Zhou Yi-Xin , Ding Jing , Liu Ji-Yan 
Published: December 2022

AbstractMetformin, a biguanide drug, is the most commonly used first-line medication for type 2 diabetes mellites due to its outstanding glucose-lowering ability. After oral administration of 1 g, metformin peaked plasma concentration of approximately 20–30 μM in 3 h, and then it mainly accumulated in the gastrointestinal tract, liver and kidney. Substantial studies have indicated that metformin exerts its beneficial or deleterious effect by multiple mechanisms, apart from AMPK-dependent mechanism, also including several AMPK-independent mechanisms, such as restoring of redox balance, affecting mitochondrial function, modulating gut microbiome and regulating several other signals, such as FBP1, PP2A, FGF21, SIRT1 and mTOR. On the basis of these multiple mechanisms, researchers tried to repurpose this old drug and further explored the possible indications and adverse effects of metformin. Through investigating with clinical studies, researchers concluded that in addition to decreasing cardiovascular events and anti-obesity, metformin is also beneficial for neurodegenerative disease, polycystic ovary syndrome, aging, cancer and COVID-19, however, it also induces some adverse effects, such as gastrointestinal complaints, lactic acidosis, vitamin B12 deficiency, neurodegenerative disease and offspring impairment. Of note, the dose of metformin used in most studies is much higher than its clinically relevant dose, which may cast doubt on the actual effects of metformin on these disease in the clinic. This review summarizes these research developments on the mechanism of action and clinical evidence of metformin and discusses its therapeutic potential and clinical safety.
Catecholamines modulate the hypoxic ventilatory response of larval zebrafish (Danio rerio)
Authors: Kevin Pan Yihang , Julian Tess , Garvey Kayla , Perry Steve F. 
Published: December 2022

ABSTRACT
The hypoxic ventilatory response (HVR) in fish is an important reflex that aids O2 uptake when low environmental O2 levels constrain diffusion. In developing zebrafish (Danio rerio), the acute HVR is multiphasic, consisting of a rapid increase in ventilation frequency (fV) during hypoxia onset, followed by a decline to a stable plateau phase above fV under normoxic conditions. In this study, we examined the potential role of catecholamines in contributing to each of these phases of the dynamic HVR in zebrafish larvae. We showed that adrenaline elicits a dose-dependent β-adrenoreceptor (AR)-mediated increase in fV that does not require expression of β1-ARs, as the hyperventilatory response to β-AR stimulation was unaltered in adrb1−/− mutants, generated by CRISPR/Cas9 knockout. In response to hypoxia and propranolol co-treatment, the magnitude of the rapidly occurring peak increase in fV during hypoxia onset was attenuated (112±14 breaths min−1 without propranolol to 68±17 breaths min−1 with propranolol), whereas the increased fV during the stable phase of the HVR was prevented in both wild type and adrb1−/− mutants. Thus, β1-AR is not required for the HVR and other β-ARs, although not required for initiation of the HVR, are involved in setting the maximal increase in fV and in maintaining hyperventilation during continued hypoxia. This adrenergic modulation of the HVR may arise from centrally released catecholamines because adrenaline exposure failed to activate (based on intracellular Ca2+ levels) cranial nerves IX and X, which transmit O2 signals from the pharyngeal arch to the central nervous system.
The genome sequence of the common mini-mining bee Andrena minutula (Kirby, 1802)
Authors: Falk Steven ,   University of Oxford and Wytham Woods Genome Acquisition Lab,   Darwin Tree of Life Barcoding collective,   Wellcome Sanger Institute Tree of Life programme,   Wellcome Sanger Institute Scientific Operations: DNA Pipelines collective,   Tree of Life Core Informatics collective, Blomfield-Smith Hermione ,   Darwin Tree of Life Consortium
Published: December 2022

We present a genome assembly from an individual female Andrena minutula (the common mini-mining bee; Arthropoda; Insecta; Hymenoptera; Andrenidae). The genome sequence is 380 megabases in span. Most of the assembly (92.19%) is scaffolded into seven chromosomal pseudomolecules. The mitochondrial genome has also been assembled and is 17.7 kilobases in length. Gene annotation of this assembly on Ensembl has identified 10,936 protein coding genes.
Bilevel Memetic Search Approach to the Soft-Clustered Vehicle Routing Problem
Authors: Zhou Yangming , Kou Yawen , Zhou MengChu 
Published: December 2022

This work addresses a soft-clustered vehicle routing problem that extends the classical capacitated vehicle routing problem with one additional constraint, that is, customers are partitioned into clusters and all customers of the same cluster must be served by the same vehicle. Its potential applications include parcel delivery in courier companies and freight transportation. Due to its NP-hard nature, solving it is computationally challenging. This paper presents an efficient bilevel memetic search method to do so, which explores search space at both cluster and customer levels. It integrates three distinct modules: a group matching-based crossover (to generate promising offspring solutions), a bilevel hybrid neighborhood search (to perform local optimization), and a tabu-driven population reconstruction strategy (to help the search escape from local optima). Extensive experiments on three sets of 390 widely used public benchmark instances are conducted. The results convincingly demonstrate that the proposed method achieves much better overall performance than state-of-the-art algorithms in terms of both solution quality and computation time. In particular, it is able to find 20 new upper bounds for large-scale instances while matching the best-known upper bounds for all but four of the remaining instances. Ablation studies on three key algorithm modules are also performed to demonstrate the novelty and effectiveness of the proposed ideas and strategies. Funding: This work was supported by the Macau Young Scholars Program [Grant AM2020011], Fundo para o Desenvolvimento das Cienciase da Tecnologia (FDCT) [Grant 0047/2021/A1], the National Natural Science Foundation of China [Grants 61903144, 71871142, and 71931007], and the Open Project of the Shenzhen Institute of Artificial Intelligence and Robotics for Society [Grant AC01202005002]. Supplemental Material: The online appendix is available at https://doi.org/10.1287/trsc.2022.1186 .
Photon counting reconstructive spectrometer combining metasurfaces and superconducting nanowire single-photon detectors
Authors: Zheng Jingyuan , Xiao You , Hu Mingzhong , Zhao Yuchen , Li Hao , You Lixing , Feng Xue , Liu Fang , Cui Kaiyu , Huang Yidong , Zhang Wei 
Published: December 2022

Faint light spectroscopy has many important applications such as fluorescence spectroscopy, lidar, and astronomical observations. However, the long measurement time limits its application to real-time measurement. In this work, a photon counting reconstructive spectrometer combining metasurfaces and superconducting nanowire single-photon detectors is proposed. A prototype device was fabricated on a silicon-on-insulator substrate, and its performance was characterized. Experiment results show that this device supports spectral reconstruction of mono-color lights with a resolution of 2 nm in the wavelength region of 1500–1600 nm. Its detection efficiency is 1.4%–3.2% in this wavelength region. The measurement time required by the photon counting reconstructive spectrometer was also investigated experimentally, showing its potential to be applied in scenarios requiring real-time measurement.
The development of Cognitive Behavioural Therapy (CBT) for chronic loneliness in children and young people: Protocol for a single-case experimental design
Authors: Cawthorne Tom , Käll Anton , Bennett Sophie , Andersson Gerhard , Shafran Roz 
Published: December 2022

Loneliness is a significant problem for young people and is associated with a range of physical and mental health difficulties. Meta-analyses have identified that interventions aimed at young people who report loneliness as their primary problem are lacking within the literature. In adults, the most effective interventions for loneliness are those which target the underlying maladaptive social cognitions. Therefore, we have developed a modular Cognitive Behavioural Therapy (CBT) intervention for children and young people. The aim of this study is to conduct a multiple baseline single-case experimental design (SCED) to assess the efficacy, feasibility and acceptability of this intervention. In total 6–8 11–18-year-olds and their families will be recruited. The design consists of AB+ post-intervention, where A is the baseline phase, B is the intervention phase and then a post-intervention phase. Participants will complete a baseline assessment, before being randomised to one of four different baseline lengths (12 days, 19 days, 26 days or 33 days). Participants will then complete an average of 12 sessions of CBT, with the aim being to reduce their feelings of loneliness. Participants will then complete a 12-day post-intervention phase. Participant loneliness will be repeatedly assessed throughout the three phases of the intervention using the Three-item Loneliness Scale, which will be the primary outcome. Secondary outcomes will be reliable and clinically meaningful change on the UCLA Loneliness Scale, Revised Child Anxiety and Depression Scale (RCADS) and Strengths and Difficulties Questionnaire (SDQ). Feasibility and participant satisfaction will also be assessed and reported.
Trial registration: ClinicalTrails.gov trial registration number: NCT05149963 (Date registered: 07.12.2021). https://www.clinicaltrials.gov/ct2/show/NCT05149963?term=cbt&cond=loneliness&draw=2&rank=1.
The corneo-scleral junction assessed with optical coherence tomography
Authors: Muzyka-Woźniak Maria , Oleszko Adam , Stróżecki Łukasz , Woźniak Sławomir 
Published: December 2022

Purpose
To evaluate corneo-scleral junction (CSJ) using anterior segment optical coherence tomography (AS-OCT) and describe the pattern of cornea and sclera interfusion based on tissue reflectivity.

Methods
This prospective observational study enrolled candidates for vision correction. Eyes with previous ocular surgery or irregular corneas were excluded. Temporal and nasal CSJ width and reflectivity patterns were assessed with AS-OCT horizontal scans. Correlations between manual and automated variables and multivariate linear regression analyses with age and spherical equivalent were performed.

Results
101 right eyes were analysed. Temporal CSJ was wider (median 1.62; 1.13 to 2.22 mm) compared to the nasal side (median 1.18; 0.73 to 1.80 mm) (p<.0001). The temporal CSJ width showed negative correlation with ipsilateral anterior chamber angle measurements and positive correlation with horizontal visible iris diameter (HVID). These relationships were not statistically significant for the nasal CSJ width. No significant correlations with age or refractive error were observed at both sides. The pattern of temporal CSJ reflectivity was mostly V- or U-shaped. The eyes with V-shaped temporal CSJ had significantly larger HVID than the eyes with irregular temporal CSJ. The nasal CSJ presented irregular reflectivity in 47% of cases.

Conclusions
The temporal CSJ was wider and had regular (V or U-shaped) reflectivity patterns, while nasal CSJ was narrower and more irregular. The CSJ width was independent of age and refractive error and could not be predicted from other parameters. The HVID measurement accuracy may benefit from CSJ analysis based on AS-OCT.
Barbell load distribution and lifting velocity affect bench press exercise volume and perceived exertion
Authors: Ferri Marini Carlo , Shoaei Vahid , Micheli Lorenzo , Francia Piergiorgio , Grossi Tommaso , Maggio Serena , Benelli Piero , Federici Ario , Lucertini Francesco , Zoffoli Luca 
Published: December 2022

Objective
The intensity of barbell bench press exercise is generally prescribed as the load to be lifted for a specific number of repetitions; however, other factors (e.g., execution velocity) can affect bench press exercise intensity. Moreover, no study assessed whether load distribution (i.e., the distance between the disc stacks on the two sides of the barbell) affects exercise intensity. The present study aims to assess how different combinations of load, velocity, and barbell load distribution affect the number of repetitions to failure (REPfailure), and rating of perceived exertion (RPEfatigue) and number of repetitions (REPfatigue) at fatigue onset.

Methods
Ten males (age 23.3±1.8 years) performed bench press exercises to exhaustion using random combinations of three loads (50%, 65%, and 80% of 1 repetition maximum), three execution velocities (50%, 70%, and 90% of maximal concentric velocity), and two load distributions (narrow and wide). Three separate three-way repeated-measures ANOVAs were performed to assess the effect of load, velocity, and load distribution on REPfailure, RPEfatigue, and REPfatigue expressed as a percentage of REPfailure.

Results
REPfailure was affected by load (p<0.001), velocity (p<0.001), and distribution (p = 0.005). The interactions between load and velocity (p<0.001) and load and distribution (p = 0.004) showed a significant effect on REPfailure, whereas the interaction between velocity and distribution was not significant (p = 0.360). Overall, more REPfailure were performed using lower loads, higher velocities, and a wider distribution. RPEfatigue and REPfatigue were affected by load (p<0.001 and p = 0.007, respectively) and velocity (p<0.001 and p<0.001, respectively), and not by distribution (p = 0.510 and p = 0.571, respectively) or the two-way interaction effects. Overall, using higher loads yielded higher RPEfatigue but lower REPfatigue, while RPEfatigue and REPfatigue were higher when slower velocities were used.

Conclusion
The current investigation shows that not only load but also velocity and barbell load distribution may influence bench press training volume and perceived exertion.
Attitude and level of COVID-19 vaccination and its determinants among patients with chronic disease visiting Debre Tabor Comprehensive Specialized Hospital, Northwest Ethiopia: A cross-sectional study
Authors: Dagnew Baye Nega , Agegnehu Teshome Assefa , Agimas Ayenew Atalo , Tilahun Mulu Anmut , Chekol Abebe Endeshaw , Tilahun Muche Zelalem 
Published: December 2022

Introduction
Coronavirus disease is a fatal viral disease caused by severe acute respiratory syndrome coronavirus 2. This study was aimed to assess the attitude, level of COVID-19 vaccine uptake, and its determinants among patients with chronic diseases visiting Debre Tabor Comprehensive Specialized Hospital, Northwest Ethiopia.

Methods
An institutional-based cross-sectional study was conducted among 422 randomly selected patients with chronic disease visiting Debre Tabor Comprehensive Specialized Hospital from February 1 to March 30, 2022. Bivariable and multivariable binary logistic regression analyses were done to identify associations between dependent and independent variables.

Results
Among all participants, only 29.6% of patients were vaccinated with any of the COVID-19 vaccines at least one dose. Age from 31 to 40 years (AOR = 6.26, 95% CI: 2.69–14.56), attended collage and above (AOR = 6.3, 95% CI: 1.37, 28.68), positive attitude towards COVID-19 vaccine (AOR = 9.07, 95% CI: 4.51–18.22), good knowledge (AOR = 7.63, 95% CI: 1.08–16.85), history of COVID-19 (AOR = 4.33, 95% CI: 1.85–10.17), family history of COVID-19 (AOR = 3.99, 95% CI = 1.89–8.48), ever been tested for COVID-19 (AOR = 0.33, 95% CI: 0.15–0.74) were determinant factors for COVID-19 vaccine uptake.

Conclusion
COVID-19 vaccine uptake among patients with chronic disease was very low. The main reasons for not being vaccinated were doubts about vaccine efficacy, the vaccine may cause disease by itself, and fear of adverse effects. Therefore, different stakeholders should enforce vaccine uptake and awareness creation.
The White Power of White Space: Rhetorical Collusion and Discriminatory Design in the Obama-Trump Inauguration Photo
Authors: Pierce Lee M. 
Published: December 2022

Abstract
When side-by-side photographs of the 2009 and 2017 U.S. presidential inauguration crowds circulated after President Trump's inauguration, few doubted what they saw: the crowd in 2017 was significantly smaller than it had been eight years earlier. Whereas popular discourse around the photo obsessed over size of the crowds, I argue that differences in contrast, color, and clarity suggest a different narrative than the logic of quantity: Trump will return an orderly, white national body, cleansed of Obama's unruly, sepia swarm. This essay re-reads a key moment of recent U.S. visual politics, turning what came to be read as either a joke or a preview of the “death of facts” as something more sinister: a visual harbinger of Trump's white supremacist program.
The Rhetoric of Narcissism: Trump's Tweets on Writing
Authors: Berg William J. 
Published: December 2022

Abstract
Donald Trump's tweets on writing, whether his own or the print media's, typically employ an extreme form of rhetoric involving the manipulation of meaning and construction of self-serving arguments. The practice of close reading suggests that these tweets often display several types of rhetorical operation, which distort the message through the amalgamation, expansion, contraction, and reversal of meaning to create expressions like “the Fake News.” These polysemous expressions are then combined to form word groups, all centered on the self but each designed to meet a particular narcissistic need, from self-promotion and self-proclaimed victory to self-defense and self-casting as the Messiah. Trump's tweets often take the form of a triangular configuration, composed of the writer to proclaim, an adversary to be conquered, and a witness to validate the victory. By putting at least two of the three actors into play within its reduced space, the tweet becomes a miniature psychodrama—scripted, cast, and staged by the narcissist for an audience of kindred spirit.
Impact of diagnostic checklists on the interpretation of normal and abnormal electrocardiograms
Authors: Staal Justine , Zegers Robert , Caljouw-Vos Jeanette , Mamede Sílvia , Zwaan Laura 
Published: December 2022

Abstract

Objectives
Checklists that aim to support clinicians’ diagnostic reasoning processes are often recommended to prevent diagnostic errors. Evidence on checklist effectiveness is mixed and seems to depend on checklist type, case difficulty, and participants’ expertise. Existing studies primarily use abnormal cases, leaving it unclear how the diagnosis of normal cases is affected by checklist use. We investigated how content-specific and debiasing checklists impacted performance for normal and abnormal cases in electrocardiogram (ECG) diagnosis.

Methods
In this randomized experiment, 42 first year general practice residents interpreted normal, simple abnormal, and complex abnormal ECGs without a checklist. One week later, they were randomly assigned to diagnose the ECGs again with either a debiasing or content-specific checklist. We measured residents’ diagnostic accuracy, confidence, patient management, and time taken to diagnose. Additionally, confidence-accuracy calibration was assessed.

Results
Accuracy, confidence, and patient management were not significantly affected by checklist use. Time to diagnose decreased with a checklist (M=147s (77)) compared to without a checklist (M=189s (80), Z=−3.10, p=0.002). Additionally, residents’ calibration improved when using a checklist (phase 1: R2=0.14, phase 2: R2=0.40).

Conclusions
In both normal and abnormal cases, checklist use improved confidence-accuracy calibration, though accuracy and confidence were not significantly affected. Time to diagnose was reduced. Future research should evaluate this effect in more experienced GPs. Checklists appear promising for reducing overconfidence without negatively impacting normal or simple ECGs. Reducing overconfidence has the potential to improve diagnostic performance in the long term.
Key point extraction method for spatial objects in high-resolution remote sensing images based on multi-hot cross-entropy loss
Authors: Chen Jun , Yu Zhengyang , Yang Cunjian 
Published: December 2022

Abstract
Extracting spatial objects and their key points from remote sensing images has attracted great attention of worldwide researchers in intelligent machine perception of the Earth’s surface. However, the key points of spatial objects (KPSOs) extracted by the conventional mask region-convolution neural network model are difficult to be sorted reasonably, which is a key obstacle to enhance the ability of machine intelligent perception of spatial objects. The widely distributed artificial structures with stable morphological and spectral characteristics, such as sports fields, cross-river bridges, and urban intersections, are selected to study how to extract their key points with a multihot cross-entropy loss function. First, the location point in KPSOs is selected as one category individually to distinguish morphological feature points. Then, the two categories of key points are arranged in order while maintaining internal disorder, and the mapping relationship between KPSOs and the prediction heat map is improved to one category rather than a single key point. Therefore, the predicted heat map of each category can predict all the corresponding key points at one time. The experimental results demonstrate that the prediction accuracy of KPSOs extracted by the new method is 80.6%, taking part area of Huai’an City for example. It is reasonable to believe that this method will greatly promote the development of intelligent machine perception of the Earth’s surface.