bluuebunny/crossref_metadata_2025 huggingface dataset:
Salidas escolares, geolocalización y realidad aumentada en Educación Superior. Una revisión sistemática de la literatura
Authors: Boulahrouz Meriam
Published: January 2023

Con el auge del aprendizaje móvil, uno de los principales retos de la Educación superior consiste en la formación de una ciudadanía crítica y activa, capaz de participar en el entorno. De esta manera, y gracias a la incorporación de nuevas herramientas basadas en la geolocalización y la realidad aumentada geolocalizada, es posible el desarrollo de actividades de enseñanza-aprendizaje en cualquier contexto y en cualquier lugar. En este trabajo, se presenta una revisión sistemática de la literatura para recoger los principales hallazgos sobre el uso de las aplicaciones de geolocalización y realidad aumentada geolocalizada durante las salidas escolares en Educación Superior. La búsqueda se ha realizado a partir de las publicaciones incluidas en las base de datos  “Web of Science” y “Scopus” durante el período 2010-2021. Al aplicar los criterios de selección y calidad, se han identificado un total de 15 estudios como muestra final. Los resultados obtenidos demuestran un interés creciente por el desarrollo de nuevas aplicaciones de geolocalización y realidad aumentada geolocalizada adaptadas al ámbito educativo de las Ciencias sociales. Entre las potencialidades de la geolocalización para el desarrollo de salidas escolares, podemos mencionar  el aumento de la motivación, el interés y la participación del alumnado en el proceso de enseñanza-aprendizaje, así como el desarrollo de las competencias espaciales.
Knowledge and its dynamics in intuitionistic logic
Authors:   TU Wien, Pavlova Alexandra M.
Published: January 2023

Thе article examines the problem of superposition of deductive and cognitive attitudes in the context of intuitionistic logic. The prerequisites and methods of modelling the change in knowledge within the framework of epistemic logic are studied. The main emphasis is placed on the difference in the understanding of truth and knowledge in clas­sical and intuitionistic logic. It is shown that an alternative understanding of truth in intu­itionistic logic entails an understanding of the modality of knowledge that is different from the one used in classical logic.
The relevance theory, pragmatics and the problem of meaning
Authors:   National Research University Higher School of Economics, Makeeva Lolita B.
Published: January 2023

The paper discusses the theory of relevance, advanced in the middle of the 1980s by Dan Sperber and Deidra Wilson, in the context of opposition between the proponents of “ideal language philosophy”, or formal semantics, and adherents of “ordinary language philoso­phy”. Though the theory was created as a version of cognitive pragmatics, an area at the junction of cognitive sciences and theoretical linguistics, it is of undoubted interest for philosophical comprehension of language, verbal communication, and the nature of meaning. Treating verbal communication as a cognitive process, Sperber and Wilson for­mulate the two most important principles underlying the process – the cognitive principle of relevance and the communicative principle of relevance. The paper explains the basic notions of the theory – ostensive communication, informative and communicative inten­tions, optimal relevance, explicature; it reveals the advantages that the authors of the the­ory see in the “inferential” model of communication over the “code” model and discusses how they present the process of understanding a speaker’s utterance by a hearer on the “implicit” and “explicit” levels and what role in the process they ascribe to pragmatic inferences. The account of the relevance theory is accompanied by its comparison with the picture of verbal communication elaborated by Paul Grice, and it is shown that though Sperber and Wilson make a start from Grice’s ideas in many respects, they intro­duce significant alterations and so they are regarded as representatives of post-Gricean pragmatics. In conclusion, it is examined how, according to the relevance theory, the se­mantics/pragmatics distinction should be drawn. It is discussed how the proposed deci­sion alters the understanding of the nature of meaning and what consequences it has for philosophy.
A elaboração de mapas mentais dos alunos do 9º ano da escola José do Patrocínio do distrito de Fazendinha - AP
Authors: Magalhaes Iani , Da Silva Cabral Nicollas , Luis Belém Fabiano
Published: January 2023

Este estudo traz como principal foco trabalhar a cartografia escolar com os alunos do 9° ano da Escola José do Patrocínio no distrito de Fazendinha em Macapá, AP. Dentro dos objetivos desta pesquisa avaliou o conhecimento concreto e abstrato dos discentes, a partir das compreensões que eles têm do espaço geográfico. A metodologia empregada nesta investigação foi um estudo de caso, de acordo com revisões bibliográficas e trabalhos de campo para verificar a dinâmica dos alunos em sala de aula. Como procedimentos metodológicos realizou num primeiro momento atividades com os discentes em sala de aula, expondo e exemplificando conceitos básicos da cartografia. A partir deste trabalho e do mapa da região da escola os alunos geraram os mapas mentais das áreas do entorno da escola. Posteriormente, houve a busca e identificação de feições geográficas presentes no bairro do colégio, tendo mapas bases como parâmetro que foram divididos em 6 regiões que são Norte, Noroeste, Nordeste, Sul, Sudoeste e Sudeste. Os resultados obtidos apresentam uma deficiência no ensino-aprendizagem de cartografia escolar, que mostra uma dificuldade do processo de construção do conhecimento abstrato por parte dos alunos. Houve uma grande quantidade de desacertos, o que mostra uma enorme deficiência em grande parte quando se trata da cartografia básica, errando até mesmo feições geográficas que fazem parte do cotidiano do discente, como por exemplo, as unidades de conservação. Este trabalho mostra que existe uma necessidade de haver um reforço no ensino da cartografia para os alunos da escola estadual Jose do Patrocínio- AP.
The Statistical Analysis Plan for the Unification of Treatments and Interventions for Tinnitus Patients Randomized Clinical Trial (UNITI-RCT)
Authors: Simoes Jorge , Schoisswohl Stefan , Schlee Winfried , Basso Laura , Bernal-Robledano Alberto , Boecking Benjamin , Cima Rilana , Denys Sam , Engelke Milena , Escalera-Balsera Alba , Gallego-Martinez Alvaro , Gallus Silvano , Kikidis Dimitris , Escámez Jose Antonio López , Marcrum Steven C. , Markatos Nikolaos , Martin-Lagos Juan , Martinez-Martinez Marta , Mazurek Birgit , Vassou Evgenia , Jarach Carlotta Micaela , Mueller-Locatelli Nicolas , Neff Patrick , Niemann Uli , Omar Hafez Kader , Puga Clara , Schleicher Miro , Unnikrishnan Vishnu , Perez-Carpena Patricia , Pryss Rüdiger , Robles-Bolivar Paula , Rose Matthias , Schecklmann Martin , Schiele Tabea , Schobel Johannes , Spiliopoulou Myra , Stark Sabine , Vogel Carsten , Wunder Nina , Zachou Zoi , Langguth Berthold
Published: January 2023

Background
Tinnitus is a leading cause of disease burden globally. Several therapeutic strategies are recommended in guidelines for the reduction of tinnitus distress; however, little is known about the potential increased effectiveness of a combination of treatments and personalized treatments for each tinnitus patient.
Methods
Within the Unification of Treatments and Interventions for Tinnitus Patients project, a multicenter, randomized clinical trial is conducted with the aim to compare the effectiveness of single treatments and combined treatments on tinnitus distress (UNITI-RCT). Five different tinnitus centers across Europe aim to treat chronic tinnitus patients with either cognitive behavior therapy, sound therapy, structured counseling, or hearing aids alone, or with a combination of two of these treatments, resulting in 4 treatment arms with single treatment and 6 treatment arms with combinational treatment. This statistical analysis plan describes the statistical methods to be deployed in the UNITI-RCT.
Discussion
The UNITI-RCT trial will provide important evidence about whether a combination of treatments is superior to a single treatment alone in the management of chronic tinnitus patients. This pre-specified statistical analysis plan details the methodology for the analysis of the UNITI trial results.
Trial registration
ClinicalTrials.gov NCT04663828 (https://clinicaltrials.gov/ct2/show/NCT04663828). The trial is ongoing. Date of registration: December 11, 2020. The main RCT analyses will start by the end of December 2022 and will include data from patients who have finished their treatment by the 19th of December 2022.
Malaria is the Leading Cause of Acute Kidney Injury Among Children Undergoing Dialysis in Lusaka, Zambia: a Retrospective Study
Authors: Mwaba Chisambo , Munsaka Sody , Bvulani Bruce , Chiluba Brian Chanda , Fitzwanga Kaiser , Mpabalwani Evans
Published: January 2023

Background: Recent studies have shown a shift in the traditional aetiologies commonly associated with tropical acute kidney injury (AKI) in some parts of Africa. In many low-income regions limited access to dialysis increases the risk of AKI-associated adverse outcomes. The goal of this study was to evaluate the aetiology, predictors of the need for dialysis, and outcomes of AKI among children evaluated by the renal service in Lusaka, Zambia.
Methods: This retrospective study included children less than 16 years old, who were diagnosed with AKI between 2016 and 2021 and followed up by the renal service at the University Teaching Hospitals- Children’s hospital (UTH-CH). AKI was defined and staged using the KDIGO 2012 criteria. Data were extracted from patient folders using a pre-designed tool and then analysed using SPSS version 25. Categorical data were expressed as simple proportions while continuous variables were expressed as either means or median after determination of normality. Correlations were determined using the chi-square test, otherwise Fischer’s exact test in the case of categorical variables, and the independent t-test for continuous variables. The significance level was set at a p-value < 0.05. The predictors of need for dialysis, poor patient outcome, and malaria-associated AKI (MAKI) were identified by using binary logistic regression.
Results: The 126 (37.7%) children diagnosed with AKI had a median age of 7.5 (interquartile range 0.3-16) yearsand a male-to-female ratio of 1.4. Of these, a total of 94(74.6%) underwent dialysis with 65(82.1%) receiving peritoneal dialysis (PD), 8(8.5%) receiving haemodialysis (HD), and 4(4.3%) undergoing both modalities. Predictors of need for dialysis were oliguria (OR 10.4, p= 0.002) and anuria (OR 8.7, p, 0.006) while the leading aetiologies of AKI were malaria (77, 60%) and glomerular disease (21, 16.6%). Twenty-three (18.3 %) children developed chronic kidney disease (CKD), 7(5.6 %) died and a year later 97 (77%) were lost to follow-up.
Conclusion: Malaria is the leading cause of AKI and children from areas of medium malaria transmission intensity are at increased risk. Three-quarters of children in the cohort required dialysis. CKD and mortality rates may be underestimated due to the high loss to follow- up rate.
Adherence to pulmonary rehabilitation during a 12-month period in Dutch and Flemish patients with prolonged COPD treatment; a prospective cohort study
Authors: Ricke Ellen , Dijkstra Arie , Bakker Eric
Published: January 2023

Background: Chronic diseases lead to both financial and organisational burdens on the health system. One of the possible solutions to keep health care affordable is self-management. However, non-adherence is a recognised problem with regard to self-management, especially in long-term treatment. Once it is clear who is or is not adherent, care can potentially be tailored accordingly. To predict adherence over time, it may be useful to have an understanding of how this variable might change over time: It is unclear whether adherence is a constant, or rather increases or decreases or fluctuates. The aim of this study is to determine the course of exercise adherence over a 12-month period in patients with chronic obstructive pulmonary disease (COPD) receiving prolonged rehabilitation.
Methods: In this prospective cohort study participated 196 patients with COPD, who were undertaking
pulmonary rehabilitation (PR), for at least one month, in 53 primary physiotherapy practices in The Netherlands and Belgium between January 2021 and August 2022. Outcomes were measured at baseline, and at 3, 6 and 12 months. The primary outcome was exercise adherence, and secondary outcomes were exercise capacity and health related quality of life. Multilevel regression analysis with adherence at the first level and patients at the second level were used for analyses of the data.
Results: There was no significant change in exercise adherence over time (p = 0.89). Also, exercise capacity (p = 0.59) and health related quality of life (p= 0.24) remained stable.
Conclusions: Adherence is constant over a period of 12 months in patients with COPD receiving prolonged pulmonary rehabilitation in a primary physiotherapy practice in The Netherlands and Belgium. Also, measured health outcomes remained constant in this same period. Possibly, this will allow for better tailored care over 12 months and lower health care costs.
The complicated dynamical behaviours of a geometrical oscillator with a mass parameter
Authors: Huang Xinyi , Cao Qingjie
Published: January 2023

In this paper, we consider a special kind of geometrical nonlinear oscillator with a mass parameter admitting two different dynamical states leading to a double-valued potential energy. A cylindrical manifold is introduced to formulate the equation of motion to describe the distinguished dynamical behaviours. With the help of Hamiltonian, the complex bifurcations are demonstrated with the varying of parameters including periodic solutions, the steady states and the blowing up phenomenon near θ = ± π/2 to infinity. A toroidal manifold is introduced to map the infinities into (0, ±2, 0) on the torus exhibiting saddle-node-like behaviour, where the uniqueness of solution is failed, for which a special ‘collision’ parameter is introduced to define the possible motion leaving from the infinities. A numerical method which is proposed to get solution near the infinity where Runge-Kutta method fails, is employed to get the bifurcation diagrams using Poincaré sections for the perturbed system to exhibit the complex dynamics including the co-existence of periodic solutions, the chaos from the coexisted periodic doubling and also the instant chaos from the coexisted periodic solutions. The results demonstrated herein this paper provide a brand new insight into the understanding of enriched nonlinear dynamics and an essential explanation about ‘collision’ of mechanical system with both the geometrical and mass parameters.
Real Time Facial Emotion Recognition model Based on kernel Autoencoder and Convolutional Neural Network for Autism Childrens
Authors: Talaat Fatma M. , Ali Zainab H. , Mostafa Reham R. , El-Rashidy Nora
Published: January 2023

Autism spectrum disorder (ASD) is a developmental disability brought on by abnormalities in the brain. Patients with ASD usually struggle with social contact and communication. They may also have a problem with the traditional ways of learning and paying attention. Diagnosis of autism considers a challenging task for medical experts since the medical diagnosis mainly depends on the abnormalities in the brain functions that may not appear in the early stages of early onset of autism disorder. Facial expression can be an alternative and efficient solution for the early diagnosis of Autism. This is due to Autistic children usually having distinctive patterns which facilitate distinguishing them from normal children Assistive technology has proven to be one of the most important innovations in helping autistic improve their quality of life. A real-time emotion identification system for autistic youngsters was developed in this study to detect their emotions to help them in case of pain or anger. Face identification, facial feature extraction, and feature categorization are the three stages of emotion recognition. A total of six facial emotions are detected by the propound system: anger, fear, joy, natural, sadness, and surprise. This research presents a deep convolutional neural network (DCNN) architecture for facial expression recognition to help medical experts as well as families in detecting the emotions of autistic children. To enhance the algorithm performance to classify the input image efficiently, the proposed algorithm contains an autoencoder for feature extraction and feature selection. Due to the size of the used dataset, a pre-trained model( ResNet, MobileNet, and Xception) is used. The xception model achieved the highest performance (ACC = 0.9523%, sn = 0.932, R = 0.9421, and AUC = 0.9134%). The proposed emotion detection framework takes the benefit of using fog and IoT to reduce the latency for real-time detection with fast response and to be a location awareness. As well as using fog is useful while dealing with big data.
Pyroclastic density currents explain far-reaching and diverse seafloor impacts of the 2022 Hunga Tonga Hunga Ha’apai eruption
Authors: Seabrook Sarah , Mackay Kevin , Watson Sally , Clare Michael , Hunt James , Yeo Isobel , Lane Emily , Clark Malcolm , Wysoczanski Richard , Rowden Ashley , Hoffmann Linn , Armstrong Evelyn , Williams Michael
Published: January 2023

The impacts of large terrestrial volcanic eruptions are apparent from satellite monitoring and direct observations1,2. However, more than three quarters of all volcanoes worldwide lie submerged beneath the ocean and the risks they pose to people and infrastructure remain poorly understood due to inaccessibility and a lack of detailed observations before and after eruptions3. Here, comparing data acquired in 2015-20174,5 and three months after the January 2022 eruption of Hunga Tonga Hunga Ha’apai, we document the wide-reaching and diverse impacts of the largest seaborne volcanic eruption in nearly 150 years6. Almost 10 km3 of seafloor material was removed during the eruption, most of which was redeposited within 20 km of the caldera by long run-out pyroclastic currents. These powerful currents damaged seafloor cables over a length of >100 km, reshaped the seafloor, and caused mass-mortality of seafloor life. Biological seafloor communities that survived the eruption were only observed where local topography provided a physical barrier to pyroclastic currents (e.g., on nearby seamounts). While the longer-term consequences of such a large eruption for human, ecological and climatic systems are emerging, we expect that these previously-undocumented refugia will play a key role in longer-term ecosystem recovery7–9.
The Mean First-Passage Time and Stochastic Resonance of a Stochastic Tumor-immune Model via BPNN Method
Authors: Zhang Ying , Li Wei , Yang Guidong , Kirin Snezana
Published: January 2023

The Mean First-Passage Time (MFPT) and Stochastic Resonance (SR) of a stochastic tumor-immune model with noises perturbation are discussed in this paper. Firstly, considering environmental perturbation, Gaussian white noise and Gaussian colored noise are introduced into a tumor growth model under immune surveillance. As the follows, the long-time evolution of the tumor characterized by the Stationary Probability Density (SPD) and MFPT are obtained in theory on the basis of the Approximated Fokker-Planck Equation (AFPE). Herein the recurrence of the tumor from the extinction state to the tumor-present state is more concerned in this paper. A higher efficient algorithm of Back-Propagation Neural Network (BPNN) is applied in order to testify the correction of the theoretic SPD and MFPT. With the existence of weak signal, the functional relationship between Signal-to-Noise Ratio (SNR), noise intensities and correlation time is also studied. These results show that both multiplicative Gaussian colored noise and additive Gaussian white noise can promote the extinction of tumors, and the multiplicative Gaussian colored noise will lead to the resonance-like peak on MFPT curves, while the increasing intensity of additive Gaussian white noise will cause the minimum of MFPT. In addition, the correlation times are negatively correlated with MFPT. As for the SNR, we find the intensities of Gaussian white noise and Gaussian colored noise, as well as their correlation intensity will induce SR. Especially, SNR is monotonously increased in the case of Gaussian white noise with the change of the correlation time, however, SNR displays the point of inflection in other cases. At last, the optimal parameters in BPNN structure are analyzed for MFPT from three aspects: the penalty factors, the number of neural network layers and the number of nodes in each layer.
Investigating the Effects of Monarda Didyma L. Extract Supplementation on Biological Aging of Susceptible Population: A Randomized, Placebo Controlled, Double-Blind Parallel Study
Authors: Campisi Manuela , Cannella Luana , Baumann Julia , Pavanello Sofia
Published: January 2023

Background: Manipulations to decelerate biological aging and extend health span are major challenges for health given the social and healthcare costs of aging population. Excessive oxidative stress and inflammation are primary drivers in biological aging and age-related diseases. Didymin, a natural bioactive flavonoid and the major polyphenol of Monarda didyma L., has showed a crucial anti-inflammatory role. This clinical study aims to investigate the potential benefits of a 12-weeks supplementation of Monarda didyma L. extract on reducing / delaying the biological aging of a susceptible population of aging workers.
Methods: This is a randomized, placebo-controlled, double-blind, parallel design and monocentric pilot study. Study population will comprise 80 participants, aged 45-65 years, randomly allocated to both Intervention group (supplementation of Monarda didyma L. extract) and placebo control group (placebo supplementation) for a 12-weeks period of treatment. All study participants, who will be enrolled at the Occupational Medicine Unit – Azienda Ospedale Università of Padova providing a written informed consent, will undergo clinical examination, an interview with structured questionnaires (demographic data, lifestyle, information quality of life and sleeping patterns) and collection of fasting blood for evaluation of indicators of biological aging as primary outcomes (DNA methylation age, telomere length, mitochondrial DNA copy number), as well as secondary outcomes including basic biochemistry and inflammation markers (emocrome, glycemia, insulin, total cholesterol, low and high density lipoproteins, triglycerides, creatinine, telomerase expression, C-reactive protein, interleukin6, aspartate transaminase, alanine transaminase, gamma-glutamyl transferase) and salivary sample for cortisol analysis. Clinical examination and sample collection, to assess primary and secondary outcomes, will be performed at enrollment and at the follow up after of this treatment. Tracking of additional parameters (heart rate, sleep, mobility) will be performed along the study period by using a wearable MiBand 6 watch and a daily diary to determine compliance and record effects on stress, well-being and health status.
Discussion: The success of this research could represent a turning point in the healthy aging research, leading to rejuvenation by means of a sustainable and safe intervention, accessible to everybody in order to extend health span.
Trial registration: ClinicalTrials.gov PRS (NCT05399966), registration date: May 17, 2022.
https://clinicaltrials.gov/ct2/about-studies/learn#WhatIs
Efficacy and safety of treating acute hemoptysis using glue embolization: A retrospective observational study and comparison to the literature
Authors: Shamseldin Mohammed , Kluge Jörg , Bauer Jens-Uwe , Puls Ralf
Published: January 2023

Objective
A retrospective observational study of the short-term efficacy and safety of using glue embolization, namely n-butyl-2-cyanoacrylate (NBCA), in bronchial artery embolization (BAE) and comparison with the literature. The main aim of the study is to display the safety of this embolic material through standardization of interventional procedure for consideration of NBCA as a possible primary embolic agent in cases of BAE.
Material-and-Methods
A total of 37 BAE were performed in 33 patients with acute hemoptysis after failure of bronchoscopic therapy using NBCA. The mean age was 56 years with 22 male patients. Pre-interventional bronchoscopy and CTA were performed. In 35 cases, embolization was performed exclusively with NBCA. One patient in combination with coils and one with particles and coils. The 1:4 NBCA-to-Lipiodol mixture was most commonly used. Post-interventional bronchoscopy was performed after 24 hours.
Results
Technical success was possible in all cases. Clinical success was achieved in 94.6%. The mortality rate from hemorrhagic shock was 5.4%. A minor complication of temporary ischemia of the bronchial mucosa. No major complications. No reperfusion of the embolized vessel, however with rebleeding in four patients from different primarily not embolized bronchial arteries.
Conclusion
Despite previous concerns about its safety based on previous reports and in line with recent studies, we conclude that NBCA is a safe and effective embolic agent to perform BAE in cases of acute hemoptysis if performed according to a clear standard operating procedure as described with a possible superiority over embolic agents. Further blinded prospective comparative studies are necessary.
Apo- and holo- transferrin differentially interact with ferroportin and hephaestin to regulate iron release at the blood-brain barrier
Authors: Baringer Stephanie , Palsa Kondaiah , Simpson Ian A. , Connor James R.
Published: January 2023

Background: Apo- (iron free) and holo- (iron bound) transferrin (Tf) participate in precise regulation of brain iron uptake at endothelial cells of the blood-brain barrier. Apo-Tf indicates an iron deficient environment and stimulates iron release, while holo-Tf indicates an iron sufficient environment and suppresses additional iron release. Free iron is exported through ferroportin, with hephaestin as an aid to the process. Until now, the molecular mechanism of apo- and holo-Tf’s influence on iron release was largely unknown.
Methods: Here we use a variety of cell culture techniques, including co-immunoprecipitation and proximity ligation assay, in iPSC-derived endothelial cells and HEK 293 cells to investigate the mechanism of apo- and holo-Tf’s influence over iron release. We placed our findings in physiological context by further deciphering how hepcidin played a role in this mechanism as well.
Results: We demonstrate that holo-Tf induces the internalization of ferroportin through the established ferroportin degradation pathway. Furthermore, holo-Tf directly binds to ferroportin, whereas apo-Tf directly binds to hephaestin. Only pathological levels of hepcidin disrupt the interaction between holo-Tf and ferroportin, and no amount of hepcidin disrupts the interaction between apo-Tf and hephaestin. The disruption of the holo-Tf and ferroportin interaction by hepcidin is due to hepcidin’s ability to rapidly internalize ferroportin compared to holo-Tf.
Conclusions: These novel findings provide a molecular mechanism for apo- and holo-Tf regulation of iron release from endothelial cells. They further demonstrate how hepcidin impacts these protein-protein interactions, and offer a model for how holo-Tf and hepcidin corporate to suppress iron release. We have established a more thorough understanding of the mechanisms behind iron release regulation with great clinical impact for a variety of neurological conditions in which iron release is dysregulated.
Lake warming and increased heatwaves revealed by a novel data-driven modeling approach
Authors: Wang Xiwen , Shi Kun , Zhang Yunlin , Qin Boqiang , Zhang Yibo , Wang Weijia , Woolway Richard , Piao Shilong , Jeppesen Erik
Published: January 2023

Climate change could seriously threaten global lake ecosystems by warming lake surface water and increasing the occurrence of lake heatwaves. Yet, there are great uncertainties in quantifying lake temperature changes globally due to lack of accurate large-scale model simulations. Here, we integrated satellite observations and a numerical model to improve lake temperature modelling and to explore the multifaceted characteristics of trends in surface temperatures and lake heatwave occurrence in Chinese lakes from 1980 to 2100. Our model-data integration approach revealed that the lake surface waters have warmed at a rate of 0.11 °C decade-1 during the period 1980-2021, being only half of the pure model-based estimate. Moreover, our analysis suggested that an asymmetric seasonal warming rate has led to a reduced temperature seasonality in eastern plain lakes but an amplified one in alpine lakes. The durations of lake heatwaves have also increased at a rate of 7.7 days decade-1. Under the high-greenhouse-gas-emission scenario, lake surface temperature and lake heatwave duration were projected to increase by 2.2 °C and 197 days at the end of 21st century, respectively. Such drastic changes would worsen the environmental conditions of lakes subjected to high and increasing anthropogenic pressures, posing great threats to aquatic biodiversity and human health.
Systemic treatment with GnRH agonist produces antidepressant-like effects in LPS induced depression male mouse model
Authors: Xu Yang , Li Wei , Shi Mengmeng , Xu Xiaofan , Guo Dongmin , Liu Zhenghai , Chen Ling , Zhong Xiaolin , Cao Wenyu
Published: January 2023

Background
Neuroinflammation is considered as a key mediator of depression. Therefore, understanding the pathophysiological mechanisms by which neuroinflammation and depression are linked can benefit novel therapies. Gonadotropin-releasing hormone (GnRH) is at the head of the neuroendocrine reproductive axis. However, the non-reproductive functions of GnRH expressed in various tissues, including hippocampus, are still not known.
Methods
We combined viral tool, neuropharmacology, and behavioral tests in male mice to test whether GnRH affects neuroinflammation that mediates LPS induced depression-like behavior.
Results
Both systemic treatment with GnRH agonist and over-expression of endogenous hippocampal GnRH via viral tool abolished the depression-like behavior after LPS challenges in mice. Conversely, antagonizing GnRHR by drug treatment or by hippocampal GnRHR knockdown could block the antidepressant- effect of GnRH agonist. Interestingly, we found that the peripheral GnRH treatment prevented the microglia activation mediated inflammation in the hippocampus of mice.
Conclusion
We propose that, at least in the hippocampus, GnRH appears to act on GnRHR to regulate higher order non-reproductive functions associated with the microglia mediated neuroinflammation. These findings also provide insights into the function and cross-talk of GnRH, a known neuropeptide hormone, in neuro-immune response.
Characterization of the fragmented mitochondrial genome of domestic pig louse Haematopinus suis (Insecta: Haematopinidae) from China
Authors: Li Rong , Nie Yu , Fu Yi-Tian , Deng Yuan-Ping , Wang Wei , Ma Ping-Ping , Liu Guo-Hua
Published: January 2023

The domestic pig louse Haematopinus suis is found worldwide wherever pig is raised. This ectoparasite causes direct damage to their hosts and also acts as a vector of various infectious disease agents. Despite its significance, molecular genetics, biology and systematics of H. suis has not been studied in detail. Herein, the entire mitochondrial (mt) genome of H. suis from China was sequenced, characterized and compared with that of H. suis from Australia. We identified 37 mt genes located on nine circular mt minichromosomes in H. suis from China, with 2.9 kb-4.2 kb in size and contains 2–8 genes and one non-coding region (1,957 bp-2,226 bp). The number of minichromosomes, gene content, and gene order in the mt genomes of H. suis from China and Australia is identical. The identity of both mt genomes (except for non-coding regions) was 96.3% between H. suis from China and Australia. For the 13 protein-coding genes, sequence differences in each gene at both the nucleotide and amino acid were 2.8–6.5% and 0.5–5.3%, respectively. The present study determined the entire mt genome of H. suis from China that provides novel genetic markers for studying the molecular genetics, biology and systematics of sucking louse.
Fast Joint DOA, Range, and Velocity Estimation Method for FMCW MIMO Radar via PARAFAC
Authors: Cong Jingyu , Sun Jinwei , Wang Lihui , Zhou Wenlong
Published: January 2023

The authors have requested that this preprint be removed from Research Square.
Analysis of the Identification value of multiparametric magnetic resonance imaging in HER-2 low expression versus HER-2-positive breast cancer
Authors: tan feiyi , zou ziqin , yang yu , huang yanfang
Published: January 2023

OBJECTIVE: To investigate the differential diagnostic value of magnetic resonance imaging (MRI) between HER-2 low expression and HER-2-positive breast cancer.
Methods:We retrospectively analyzed 52 cases of HER-2 low expression breast cancer and 26 cases of HER-2 positive breast cancer treated in our hospital from 2014-01-01 to 2022-04-12. The patients with breast cancer were first examined by MRI and later confirmed by pathological biopsy. The basic clinical case profiles and the characteristics of lesion-related MRI signs were statistically analyzed between the HER-2 low-expressing breast cancer group and the HER-2-positive breast cancer group.
RESULTS: The two groups showed statistically significant differences (P<0.05) in the maximum diameter of the mass (P=0.02), internal enhancement features (P=0.048), ADC values (P=0.001), and histological grading (P=0.001). The remaining clinicopathological and magnetic resonance features such as, age, mass distribution, mass morphology, mass margin and TIC curve type were not statistically different (P > 0.05). logistic multivariate regression model showed that: maximum mass diameter, ADC value and histological grade were independent predictors to distinguish between the two types of breast cancer, and mass diameter (≤2 cm) group (OR=0.306, P = 0.027), lower ADC values (OR=331.254, P=0.001), and lower histological grade (OR=5.001, P=0.001) were more likely to be HER-2 low expressing breast cancers. The ROC prediction model incorporating ADC values had good efficacy in discriminating the HER-2 low expression breast cancer group from the HER-2 positive breast cancer group with an area under the curve (AUC) of 0.691.
CONCLUSION: There are some differences between the tumor biological characteristics of patients in the HER-2 low expression breast cancer group and the HER-2 positive breast cancer group, and the use of histologic grading, ADC values, maximum diameter of the mass, and other clinical The use of clinical pathological and magnetic resonance features such as histological grading, ADC value, maximum diameter of the mass combined with logistic regression analysis and ROC curve to construct a prediction model can provide some help in the differentiation of the two.
Digital Business Reporting is a Key to Enhance Financial Reporting Quality – An XBRL Perspective
Authors: N ABHISHEK , L Ashoka M , Acharya Parameshwara , Divyashree M S
Published: January 2023

The efficient and effective communication of business and financial information to end-users helps to get clear insights on the business outlook and assists them in making timely decisions. Financial reporting acts as a vehicle to disseminate the financial information of the business to various interested parties by communicating operating and financial information through financial statements, notes to financial statements and other footnotes in the annual report. Nowadays stakeholders of the business are more expecting both financial and non-financial information to be communicated in a single annual report. Therefore, the corporate houses are required to communicate enhanced information in their annual reports to facilitate the stakeholders in their decision-making process. Communication of enhanced information in the annual report is only possible with the help of the EBR Model (Enhanced Business Reporting Model) which is only possible by the application of XBRL (Extensible Business Reporting Language) to the business reporting purpose. The present paper is intended to examine the impact of XBRL on the quality of financial reporting. For this purpose, the study analysed the financial reporting pattern of 23 select companies in India through the analysis of their annual reports from 2005 to 2020. To derive valid conclusions Tukey test, dummy variable regression analysis techniques were employed and concluded that XBRL has made a significant impact on the quality of financial reporting of select companies.
CRL4SlDDI3 regulates cell proliferation and organ size via targeting H3K9 methyltransferase SlDDI4 for degradation in tomato
Authors: Miao Min , Tang Xiaofeng , Gao Lanyang , Gao Jieyu , Wang Hongtao , Wang Songhu , Zhu Yunye , Niu Xiangli , Fan Youhong , Chen Yao , Li Yuxiang , Wang Anquan , Cao Shuqing , Fei Zhangjun , Giovannoni James , Xiao Fangming , Liu Yongsheng
Published: January 2023

Methylation of DNA and histone H3 at Lys 9 (H3K9) is tightly associated with transcriptionally silenced heterochromatin formation in eukaryotes. A number of proteins have been characterized in establishing both of these epigenetic marks at specific genome regions and maintaining them through cell division. However, post-translational regulation of these proteins is poorly understood. In this study, we identify two SlDDB1-interacting proteins (SlDDI3 and SlDDI4) antagonistically controlling cell proliferation via the ubiquitin-proteasome pathway in tomato. SlDDI3 is a WD40-repeat protein negatively involving cell proliferation and interacts with SlDDB1 and SlCUL4 to form CRL4SlDDI3 ligase complex, through which SlDDI4 is ubiquitinated for degradation. SlDDI4 is a H3K9 methyltransferase positively regulating cell proliferation and coordinates with a tomato homologue of DNA methyltransferase SlCMT3a to negatively regulate expression of target gene(s), through concurrent methylation of H3K9 and CNG DNA at the SlWEE1 gene, a negative regulator of cell cycle progression. Thus, our results reveal the mechanistic basis by which the CRL4 E3 ligase epigenetically regulates cell proliferation and organ/fruit size and structure via ubiquitination-mediated manipulation of the H3K9 methyltransferase.
Rural folk dance movement recognition based on an improved MCM-SVM model in wireless sensing environment
Authors: Xie Li
Published: January 2023

In order to improve the accuracy and timeliness of folk dance movement recognition, this paper proposes an improved MCM-SVM recognition model to recognize the lower limb human motion of ethnic dance in rural areas based on sensors. In order to recognize these actions, the SVM algorithm is used to identify the current action, and the MCM model is used to optimize the recognition result. The experimental results show that the proposed improved model achieves a higher recognition rate compared to the SVM algorithm for the recognition of different dance moves. The average recognition rate exceeds 93%, and the average recognition time is about 0.6 ms, which verifies the effectiveness of the proposed model. The proposed model will provide guidance and practicality for the design and construction of future dance movement recognition systems.
Characterization of the cutting power of the abrasive particles during titanium alloys abrasive water jet machining
Authors: Morisset Raphaël , BUI Hung Van , COHEN Guillaume , GREGOIRE Michel , GILLES Patrick
Published: January 2023

Abrasive waterjet machining is an unconventional process. It consists of using water under high pressure and abrasive particles to machine all materials. This process significantly limits the cutting forces and heat that can deform the part and degrade its mechanical characteristics. This is particularly true for very thin ones. The abrasive particles used are most often considered as a fixed parameter for this process and it is chosen according to the selected application. It is characterized by a size expressed in mesh and by their material, mainly garnet or alumina. The implicit assumptions are that all the particles have the same size and their composition is constant. In this paper, a characterization of different abrasive garnets is carried out in order to define their suitability for machining Titanium alloys. Machining tests are presented and their results are correlated with their properties.
Facile Conversion of Water to Functional Molecules and Interfacial Polymers with Efficient Clusteroluminescence
Authors: Song Bo , Zhang Jianyu , Zhou Jiadong , Qin Anjun , Lam Jacky , Tang Ben Zhong
Published: January 2023

Water is always used by nature to construct complex species. Learning from nature, the exploration of artificial approaches to utilize abundant water to synthesize functional molecules and polymers with efficient clusteroluminescence properties (CLgens) is highly significant but has yet to be reported. Herein, a new chemistry of water and alkyne was developed. The synthesized products were proved as nonaromatic CLgens that could emit visible light. Their emission colors and luminescent efficiency could be adjusted by manipulating through-space interaction via using different water and alkyne. Besides, the free-standing polymeric films with much high photoluminescence quantum yields (up to 45.7%) were in situ generated via a new H2O-involved interfacial polymerization. The interfacial polymerization-induced emission of the polymeric films was observed, where the emission red-shifted and efficiency increased when the polymerization time was prolonged. The synthesized polymeric film was also verified as a "Janus film". It exhibits a vapor-triggered reversible mechanical response which could be applied as a smart actuator. Thus, this work develops a new method to synthesize CLgens using water, builds a clear structure-property relationship of CLgens, and provides a novel strategy to in situ construct functional H2O-based polymeric films.
Increased expression of TNFRSF14 and LIGHT in biliary epithelial cells of patients with primary sclerosing cholangitis
Authors: Kanai Sachiko , Fujiwara Hiroaki , Mizuno Suguru , Kishikawa Takahiro , Nakatsuka Takuma , Hamada Tsuyoshi , Tanaka Mariko , Arita Junichi , Nakai Yousuke , Isayama Hiroyuki , Kasuga Masato , Tateishi Ryosuke , Tateishi Keisuke , Ushiku Tetsuo , Hasegawa Kiyoshi , Koike Kazuhiko , Fujishiro Mitsuhiro
Published: January 2023

Background and aims: There is a lack of biliary epithelial molecular markers for primary sclerosing cholangitis (PSC). We analyzed candidates from disease susceptibility genes identified in recent genome-wide association studies.
Methods: Expression was quantified using immunohistochemistry in biliary epithelia in liver biopsy samples from patients with PSC (N = 45) and controls (N = 12). Samples from patients with primary biliary cholangitis (PBC) were used as disease controls (N = 20).
Results: The levels of hepatic expression of ATXN2, HHEX, PRDX5, MST1, and TNFRSF14 were significantly altered in the PSC group. We focused on the immune-related receptor, TNFRSF14. Immunohistochemistry revealed that TNFRSF14 positivity was significantly higher in biliary epithelia in the PSC group (96 %) than in the control (42 %) and PBC (55 %) groups. High expression of TNFRSF14 was observed only in patients with PSC. Moreover, the expression of LIGHT, which encodes a TNFRSF14-activating ligand, was increased in PSC liver. Immunohistochemistry showed that high expression of LIGHT was more common in PSC biliary epithelia (53 %) than in the PBC (15 %) or control (0 %) groups; moreover, it was positively associated with fibrotic progression.
Conclusions: TNFRSF14 and LIGHT are attractive candidate markers for PSC.
Eadn: Enhanced Auto Encoder Decoder Network Ensembled With Boosting Technique for Feature Selection of Parkinson’s Disease Detection
Authors: Sre Navya , Srinivasa S.
Published: January 2023

The authors have requested that this preprint be removed from Research Square.
Fluorescein-Guided Surgery for High-Grade Glioma Resection: A five-year long retrospective study in our institute
Authors: Xi Chen , Jinli Sun , Yan Chen , Huijuan Li , Zhongjie Shi , zhangyu Li , Jianyao Mao , Liwei Zhou , Yukui Li , Sifang Chen , Guowei Tan
Published: January 2023

Objective: To investigate the outcomes and adverse events of glioma patients received surgery with or without fluorescein sodium guidance.
Methods: A total of 136 patients who visited our hospital and underwent surgery from July 2017 to June 2022 were retrospectively analyzed. 75 cases in the fluorescein group, while 61 cases in the non-fluorescein group. Baseline characteristics, intraoperative blood loss, duration of operation and tumor mass resection were documented, adverse events were also recorded.
Results: The duration of operation was significantly shorter in the fluorescein group than in the non-fluorescein group (P = 0.008), especially for patients with tumors in the frontal and occipital lobes (frontal, P = 0.036; occipital, P = 0.041). More critically, the rate of gross total resection (GTR) was significantly higher in the fluorescein group than in the non-fluorescein group (42.67% vs. 21.31%, P = 0.005), particularly for patients with tumors located in the temporal lobe, occipital lobe, and deep supratentorial area (temporal, 48.15% vs. 13.04%, P = 0.002; occipital, 53.84% vs. 0.00%, P = 0.026; deep supratentorial region, 15.00% vs. 5.88%, P = 0.016). however, there was no statistically significant difference in intraoperative blood loss (P = 0.094) or incidence of complications (6.67% vs. 4.92%, P = 0.668) between the two groups.
Conclusions: Fluorescein-guided resection of high-grade gliomas using a dedicated filter on the operating microscope is feasible, safe, convenient and significantly increases the GTR rate; this is especially advantageous in patients with tumors located in non-verbal and motor areas such as the temporal and occipital lobes and deep supratentorial areas.
Green Supplier Selection in the Automobile Industry: A Comprehensive Framework for Multi-Criteria Decision Analysis
Authors: GHOSH SUDIPTA , Bhowmik Chiranjib , Sinha Sudipta , Mandal Madhab Chandra , Ray Amitava
Published: January 2023

This research proposes a comprehensive framework to evaluate green suppliers. A real-world green supplier selection (GSS) problem is considered in which three India-based automobile manufacturing organizations, namely Supplier 1, Supplier 2, and Supplier 3 are selected for the evaluation. Initially, fourteen important criteria are extracted from literature and experts’ suggestion, which encompasses both the environmental, economic, and operational aspects of sustainability. Firstly, data is collected through the development of a questionnaire, formation of an expert committee, and carrying out interviews with the experts. Secondly, an integrated multi-criteria decision-making (MCDM)-multivariate approach is proposed in which the item analysis is used to examine the internal consistency of data, the principal component analysis (PCA) is used to calculate the weights of the parameters. Finally; the simple additive weighting (SAW) method is used to determine the performance scores of the case organizations for ranking and benchmarking purpose. The result reveals that Supplier 3 is the benchmark supplier as it gains the highest performance score. The result also recommends that collaboration with suppliers for green purchasing is the most influential parameter for GSS. This research may assist policymakers to strategically select the optimum green supplier for sustainability.