bluuebunny/crossref_metadata_2025 huggingface dataset:
Survival time and influencing factors on Ethnic minorities with HIV/AIDS in Guizhou province, 1996-2020
Authors: Wang Maosi , Song Xiaotian , Yao Yongming , Huang Lu , Liu Jingping , Xiong Bing , Chen Yang
Published: September 2023

To understand the living status and influencing factors of HIV / AIDS in Guizhou Province, and to provide evidence for reducing the mortality of HIV / AIDS.A retrospective study was carried out to study the HIV / AIDS of ethnic minorities reported in Guizhou Province from 1996 to 2020. The life table was used to calculate the survival rate, Kaplan-Meier was used to calculate the survival time, and Cox proportional hazard regression model was used to analyze the factors that influence the living time of patients.A total of 19,453 ethnic minority HIV / AIDS cases were examined in the study. The proportion of the caused deaths was 34.90% (6,789 / 19,453), the total mortality rate was 10.42 / 100 person/years ( 6,789 / 65132.17 ), the survival time M = 8.08 years ( 95% CI : 7.97–8.70 ), and the cumulative survival probability of the first, 10, 20 and 24 years was 0.82, 0.45, 0.18 and 0.09, respectively. The mortality rate of HAART group was 4.57 / 100 person-years. Multivariate Cox regression results showed that the survival time of the infected was related to gender, age of testing HIV positive, marriage, ethnic minority category, education level, way of infection, first CD4 + T lymphocyte count (CD4), and antiviral treatment (HAART), among which women ( HR = 0.77 ) ; age ( 20 ~, 40 ~, 60 ~ years old group HR were 1.47,2.10,2.95 ). The results show that, compared with the unmarried group, the HRs of married or cohabiting, married or cohabiting groups were 0.91 and 0.88, respectively. Moreover, the HRs of Dong, Miao, Tujia and Yi are 0.74, 0.79, 0.73 and 0.72 respectively compared with the case of Buyi.As to illiterates, the HRs of junior high school culture group, high school culture group and college culture group were 0.82,0.81 and 0.5, respectively. Compared with the injection drug infection, the HR of the heterosexual infection group and the homosexual infection group was 1.33 and 0.76 times ; the HR of the first CD4 ( 200 ~, 350 ~ and 500 ~ / µl groups were 0.52, 0.44 and 0.40, respectively ) ; participation in HAART ( HR = 0.13 ). Among the minority HIV / AIDS in Guizhou Province from 1996 to 2020, women, younger, married, higher education, higher CD4 for the first time, and HIV / AIDS who participated in HAART have a longer survival time. Early diagnosis,treatment and further follow-up measures should be carried out according to risk factors.
A rare case of macroamylasemia in a patient with SARS-CoV-2 infection
Authors: Aponso Tilan , Wanninayaka W. S. , Nawarathna N. M.M.
Published: September 2023

Macroamylasemia is a rare condition affecting 0.5–1.5% of the population. Macroamylasemia should be suspected in a patient with a high serum alpha amylase level without an elevation in the urine alpha-amylase level. Serum amylase binds with other serum proteins like immunoglobulins A( 92%), immunoglobulins G (<30%), and others (<5%), forming macromolecular complexes that weigh more than 400 KDa. Nephrones are unable to secrete these macromolecules into the urine due to their large size, which causes the accumulation of these macromolecules in the serum.
Patients with COVID-19 during seroconversion develop higher concentrations of SARS-CoV-2-specific immunoglobulins and different plasma proteins, which can bind with the alpha amylase molecules and cause macroamylasemia. In this case report, we report about a patient with mild COVID-19 who had persistently elevated serum amylase levels and was later diagnosed to have macroamylasemia. This is the first case of macroamylasemia reported in a patient with COVID-19 in the literature.
Trends in bone metastasis treatments over recent decades and a historical comparison using the new Katagiri score system: future predictions based on pilot studies
Authors: Matsuda Kenji , Shimazu Kazuhiro , Shinozaki Hanae , Fukuda Koji , Yoshida Taichi , Taguchi Daiki , Shibata Hiroyuki
Published: September 2023

Background
In 2016, the Comprehensive Guidelines for the Diagnosis and Treatment of Bone Metastasis was published. Since then, the therapeutic outcomes for patients have gradually improved. As life expectancy is a major determinant of surgical intervention, the strategy should be modified if the prolongation of survival is to be achieved.
Methods
For advanced cancer patients with bone metastasis who visited the Department of Clinical Oncology at Akita University hospital between 2012 and 2023, parameters including the site and number of bone metastases, laboratory data, and survival time, were extracted from electronic medical records and the Katagiri score was calculated. The association with survival was determined for each factor.
Results
Data from 136 patients were obtained. The 1-year survival rate for the poor prognosis group with a higher Katagiri score was 20%, which was a significant improvement from 2014 when the scoring system was developed. Other factors significantly affecting survival included thoracic and lumbar metastases, five or more bone metastases, and treatment with chemotherapy and immune checkpoint inhibitors.
Conclusions
The 1-year survival rate in patients with a poorer score was improved. These patients may be candidates for surgery in the future. Finally, updating the scoring system is required.
Distributed Visual Positioning for Surgical Instrument Tracking
Authors: Yu Cai , Zhu Mingzhu , He Bingwei , Zhang Jianwei
Published: September 2023

In clinical operations, it is crucial for surgeons to know the location of the surgical instrument. Traditional positioning systems have difficulty dealing with camera occlusion, marker occlusion, and environmental interference.To address these issues, we propose a distributed visual positioning system for surgical instrument tracking in surgery.First, we design the marker pattern with a black and white triangular grid and dot that can be adapted to various instrument surfaces and improve the marker location accuracy of the feature.The cross-points in the marker are the features that each feature has a unique ID.Furthermore, we proposed detection and identification for the position-sensing marker to realize the accurate location and identification of features.Second, we introduce mPnP (multi Perspective-n-Point) method, which fuses feature coordinates from all cameras to deduce the final result directly by the intrinsic and extrinsic parameters.This method provides a reliable initial value for the Bundle Adjustment algorithms.During instrument tracking, we assess the motion state of the instrument and select either dynamic or static Kalman filtering to mitigate any jitter in the instrument's movement.The core algorithms comparison experiment indicates our positioning algorithm has a lower reprojection error comparison to the mainstream algorithms.A series of quantitative experiments showed that the proposed system positioning error is below0.207mm, and the run time is below118.842ms.T he results demonstrate the tremendous clinical application potential of our system providing accurate positioning of instruments promoting the efficiency and safety of clinical surgery.
Hybrid Beamforming for mm-Wave Massive MIMOSystems with Partially Connected RF Architecture
Authors: Majidzadeh Mohammad , Kaleva Jarkko , Tervo Nuutti , Pennanen Harri , Tölli Antti , Latva-aho Matti
Published: September 2023

To satisfy the capacity requirements of future mobile systems, under-utilized millimeter wave frequencies can be efficiently exploited by employing massive MIMO technology with highly directive beamforming.Hybrid analog-digital beamforming has been recognised as a promising approach for large-scale MIMO implementations with a reduced number of costly and power-hungry RF chains.In comparison to fully connected architecture, hybrid beamforming (HBF) with partially connected RF architecture is particularly appealing for the practical implementation due to less complex RF power division and combining networks.In this paper, we first formulate single- and multi-user rate maximization problems as weighted minimum mean square error (WMMSE) and derive solutions for hybrid beamformers using alternating optimization.The algorithms are designed for the full-array- and sub-array-based processing strategies of partially connected HBF architecture.In addition to the rate maximizing WMMSE solutions, we propose lower complexity sub-array-based zero-forcing algorithms.The performance of the proposed algorithms is evaluated in two different channel models, i.e., a simple geometric model and a realistic statistical millimeter wave model known as NYUSIM.The performance results of the WMMSE HBF algorithms are meant to reveal the potential of partially connected HBF and serve as upper bounds for lower complexity methods.Numerical results imply that properly designed partially connected HBF has the potential to provide an good compromise between hardware complexity and system performance in comparison to fully digital beamforming.
Demographic Characteristics and ABO Blood Genotypes Influence Susceptibility to Computer Vision Syndrome (CVS) in Lagos, Nigeria
Authors: Yahaya Tajudeen , Umar Ja'afar , Magaji Umar , Abdulrafiu Bashirat , Muhammad Balkisu , Abdulrahim Abdulrakib , Muhammad Abubakar
Published: September 2023

Background: Computer devices have become an important part of human life because they make work easier and thus increase output. However, the use of computer devices has led to the occurrence of computer vision syndrome (CVS). The current study was aimed at determining the demographic characteristics, influence of ABO blood groups, and diseases associated with CVS in Lagos, Nigeria.
Methods: Structured questionnaires were used to collect demographic information from 153 CVS patients at Unique Eyes Center, Lagos. The data collected includes age, gender, educational level, ethnicity, religion, type of device use, duration spent on devices, marital status, and diseases frequently expressed. The ABO blood groups of the participants were thereafter collected from their medical records.
Results: The results showed that 89 (58.70%) of the respondents were males, while 64 (41.83%) were females. Most of the respondents were > 40 years old, with 78 members (50.98%), followed by age class 21–40 with 48 representatives (31.37%) and age class 10–20 with 27 members (17.65%). Respondents with primary education were 2 (1.31%), those with secondary education were 28 (18.30%), and those with tertiary education consisted of 123 members (80.39%). Married participants were 72 (47.06%), singles were 48 (31.37%), divorced were 18 (11.76%), and widowed were 15 (9.80%). Christians were 81 (52.94%), while Muslims were 72 (47.06%). The Yoruba ethnic group made up 78 (50.98%), the Igbo made up 43 (28.10%), and the Hausa/Fulani were 32 (20.92%). 110 (71.90%) used desktops, 28 (18.30%) used androids, and 15 (9.80%) used laptops or iPads. 116 (75.82%) participants used computer devices continuously, while 37 (24.13%) used them intermittently. People with non-O blood types constituted the majority, of which those with type A blood were the most affected, having accounted for 51 (33.33%) of the overall population. Headache, blurred vision, eye strain, double vision, and neck/shoulder/back pain were strongly associated with CVS in the study area.
Conclusion: The results suggest that demographic characteristics and ABO blood groups genotypes influence susceptibility to CVS among computer users in Lagos. Non-O blood group individuals, mainly type A blood are particularly at risk. People are advised to limit time spend on computer devices and get regular eye tests.
Mission-oriented Determination of Regional Weapon Maintenance Demand in Simulation
Authors: Zhigang Hu , Jing-jun Lou , bin Zeng
Published: September 2023

Determining maintenance demand ahead of mission is crucial to practical weapon maintenance, especially to regional warship weapon maintenance. While determining the regional warship weapon maintenance demand, attention is paid only to reliability, but the nature of mission or the consequence of damage is ignored. For this reason, a method for determining regional maintenance demand based on simulation is put forward in this paper. Regional weapon maintenance system is first analyzed to build a mission-oriented maintenance demand model based on the concept of mission-induced failure. Subsequently, the Anylogic platform is employed because of its advantages including agent modeling simulation and visualized process display. Four types of agent are designed for the regional maintenance system. The process of determining maintenance demand based on simulation is established on this basis. At last, an example is taken to calculate and verify the universality and effectiveness of the simulation model.
Evidence for a Two Component Cognitive Structure in Pigeons (Columba livia)
Authors: Flaim Mary , Blaisdell Aaron P.
Published: September 2023

A well replicated result in humans is that performance, whether good or bad, is consistent across a wide variety of cognitive tasks. Factor analysis consistently extracts one factor that can account for approximately half of the variance in performance. This factor is termed g and almost all cognitive tasks positively load onto this factor. While some neurobiological correlates of g have been identified in humans, causal experiments are only feasible in animals. When mice and some avian species are assessed with cognitive test batteries, performance positively correlates, and the first component extracted has similar properties to g. There are some limitations to the species tested thus far, including comparability in the cognitive domains assessed across species and homogeneous samples. The pigeon is an ideal subject to overcome these issues since pigeons, humans, and other primates are frequently given similar tasks and many neural correlates of performance have been identified in the pigeon. We created a test battery that assessed different domains, including associative learning, memory, cognitive flexibility, and reaction time. Yet we did not consistently extract a g like factor. Analyses indicated a two-component structure with differential task loadings. Possible interpretations of the components are associative learning/memorization versus a general rule, degree of automaticity, and sensitivity to age related decline. Reasons and implications for this two-component structure are discussed.
Prevalence of anxiety and depression among pregnant women with diabetes and their predictors in Qazvin province, Iran
Authors: Salimi Hamid Reza , Griffiths Mark D. , Alimoradi Zainab
Published: September 2023

Background: Addressing mental health of diabetic pregnant women is important as it might increase the chance of obstetric complications, preterm birth, and neonatal complications.
Aim: The present study investigated the prevalence of anxiety and depression among pregnant women with diabetes and their predictors.
Methods: A cross-sectional study was conducted in 2023. The sample comprised 350 pregnant women with diabetes (pre-pregnancy or gestational) referred to comprehensive health centers in Qazvin Province, Iran. Fertility and demographic characteristics, anxiety, depression, partner social support, self-efficacy, medication adherence and fear of hypoglycemia were assessed.
Results: Among the sample, 28.9% had pre-pregnancy diabetes and 71.1% had gestational diabetes. Anxiety and depression were reported by 74.9% and 79.4% of all participants (significantly higher among those with pre-existing diabetes compared to gestational diabetes). Self-efficacy (OR: 0.91 [95% CI: 0.86; 0.96]) and spouse's social support (OR: 0.68 [95% CI: 0.56; 0.82]) were significant predictors of abnormal anxiety. Fear of hypoglycemia (OR: 1.06 [95% CI: 1.02; 1.09]), medication adherence (OR: 1.05 [95% CI: 1.01; 1.09]), self-efficacy (OR: 0.86 [95% CI: 0.82; 0.91]), partner social support (OR: 0.62 [95% CI: 0.49; 0.78]), diabetes type (pregnancy vs. pre-pregnancy diabetes; OR: 0.26 [95% CI: 0.09; 0.77]), perceived family economic status (fair vs. good; OR: 3.08 [95% CI: 1.12; 8.49]), and diabetes treatment (insulin vs. diet; OR: 0.21 [95% CI: 0.08; 0.55]) were significant predictors of abnormal depression.
Conclusion: Diabetic pregnant women should be evaluated for anxiety and depression during their prenatal visit. Improving self-efficacy, increasing medication adherence, reducing the fear of hypoglycemia, and improving the spouse’s social support might all be helpful in reducing anxiety and depression among pregnant women with diabetes.
Diffusion Behavior of Free Water and Bound Water in Insulation Paper Based on Langmuir Model
Authors: Kang Meicun , Yang Lijun , Lv Xiaolu , Wang Ke , He Yuxin
Published: September 2023

Moisture in oil–paper insulation is a threat to the safe operation of transformers. Consequently, the diffusion, migration, and equilibrium behavior of water molecules in oil–paper insulation has always been a research hotspot in this field. Water molecules exist in both free and bound states in oil–paper insulation. Currently, the Fick model is commonly used to describe the diffusion behavior of free water molecules in oil–paper, without considering the behavior of bound water molecules, resulting in significant deviations between the calculated and measured results. In this study, the Langmuir model was introduced to investigate the diffusion behavior of free and bound water during the drying process of insulation paper, revealing that the adsorption and desorption coefficients in the model could characterize the conversion process of free and bound water molecules in cellulose under different conditions, predict the drying behavior of insulation paper at a given temperature and pressure, and guide the drying process conditions of active part insulation in transformers.
Heteroclinic for a 6-dimensional reversible system - Domain walls in convection Gérard Iooss
Authors: Iooss Gerard
Published: September 2023

A six-dimensional reversible normal form system occurs in Bénard-Rayleigh convection between parallel planes, when we look for domain walls intersecting orthogonally (see Buffoni et al [1]). We prove analytically the existence, local uniqueness, and analyticity in parameters, of a heteroclinic connection between two equilibria, each corresponding to a system of convective rolls. We prove that the 3-dimensional unstable manifold of one equilibrium, intersects transversally the 3-dimensional stable manifold of the other equilibrium, both manifolds lying on a 5-dimensional invariant manifold. We also study the linearized operator along the het-eroclinic, allowing to prove the persistence under perturbation, of the heteroclinic obtained in [1]. This provides a complete mathematical proof of existence of orthogonal domain walls in Bénard-Rayleigh convection.
In-plane synthesis of silicon microwires array for optoelectronic and microelectronic applications; a TCAD study
Authors: Jahromi Hamed Dehdashti , Sanaei Ali
Published: September 2023

Silicon microwires have been used in various applications such as sensors, solar cells, and lithium-ion batteries due to their high surface area-to-volume ratio and good electrical conductivity. One of the interesting challenges in microelectronics and photovoltaics is the creation of interspacing, laterally oriented silicon arrays on SiO2 substrate for semiconductor devices with multi-function. Silicon microwires array is a type of microstructure with unique optical and electrical properties that makes it useful for various applications. The fabrication of such structures is still a serious technological problem and requires searching for new approaches and techniques. In this work, we report a CMOS compatible approach for synthesis of in-plane Si microwires array on SiO2 substrate. The approach is a combination of micro-photolithography, oxidation, and etching techniques that are all compatible with standard CMOS fabrication processes. We found that dray oxidation leads to desirable results, and the process will be successful at 1575 degree Celsius after 120 minutes. The resulted Si microwires array are then processed to be used in the channel of a MOSFET for microelectronic application as a sensor. The excellent performance of the designed MOSFET proves formation of the desired Si microwires array which can be used in the structure of any microelectronic devices and sensors. All simulations were performed using TCAD Silvaco software.
Prediction of neurological diseases using data mining
Authors: Shirdel Gholam Hassan , Ghanbari Mojtaba , Zarghami Shabnam
Published: September 2023

Background and Aim: Data mining is one of the stages of acquiring knowledge in a database to collect useful information. Data mining is a new field that has various applications and it is known as one of the top ten sciences affecting technology. Data mining analyzes databases and massive data sets in order to discover and extract knowledge, and machine (and semi-machine) mines. Such studies and explorations can actually be considered the extension and continuation of the ancient and ubiquitous knowledge of statistics. The major difference is the scale, breadth and variety of fields and applications, as well as the dimensions and sizes of today's data, which require machine learning, modeling, and training methods. In the 1960s, statisticians used the term "Data Fishing" or "Data Dredging" to discover any relationship in a very large volume of data without considering any assumptions. After thirty years and with the accumulation of data in databases, the term "Data Mining" became more popular around 1990. The purpose of this research is to predict brain and nerve diseases using data mining algorithms. The purpose of this research is to help medical professionals to predict disease.
Materials and Methods: In this research, after data preparation, disease prediction has been attempted using large matrix methods and data mining techniques. By examining the new vector, we can find out which of the diseases in the matrix will be closer to this new disease with new symptoms using the rows of the matrix. The conducted research is one of descriptive-analytical and applied studies.
Results: In this research, we used different meters such as Jacquard distance, cosine similarity L1-norm and cosine similarity L2-norm implemented a program using Python software to predict brain and neurological diseases.
Conclusion: The algorithm implemented by Python software, the doctor enters the symptoms of the patient and the output of the program shows three diseases close to the input symptoms for each meter, and finally all the meters are compared and the meter that has a weaker result is determined each time it is run. The advantages of each of these meters are explained below.
Multiple Fault Detection in Taper Roller Bearings Based on Sensor Fusion of Acoustic Emission and Vibration Data Using Deep Learning Techniques
Authors: Mahajan Pavan , Vasu V , Srin K V S , Pal Anuj
Published: September 2023

In rotating machinery, taper roller bearings are essential parts whose failure can have fatal consequences. To ensure safe and effective operation, these bearings must undergo condition monitoring and fault diagnosis. This study uses sensor fusion of vibration and acoustic emission data to demonstrate an integrated approach for multiple fault detection in taper roller bearings. Most of the literature classified bearing faults in 3 or 4 classes. Classification for lesser faults is an easy task as compared to classification of multiple faults. The proposed experiment demonstrate that the suggested method is highly accurate in detecting multiple bearing faults, and the integration of acoustic emission and vibration data improves the fault detection performance compared to using either data source alone. The proposed method involves collecting acoustic and vibration data using a DAQ system for multiple bearing faults and converting that data into scalogram images. This study also focused on importance of data denoising and use of optimal hyperparameter. As per proposed method data pre-processing and setting ideal hyperparameter have significantly increased the accuracy of bearing fault classification. This study uses deep learning CNN model to classify the scalogram images of bearing faults. CNN automatically extract features from scalogram images and classify images based on their similarities. The proposed approach can be used to monitorthe conditions and diagnose various faults of taper roller bearings in various industrial applications.
TLIS: Two-stage low-light image instance segmentation
Authors: Li Wei , Huang Ya , Zhang Xinyuan , Han Guijin
Published: September 2023

Current instance segmentation models perform adequately under normal light conditions, but encounter significant challenges in low-light scenarios, where the feature information of objects becomes less discernible, thus impeding accurate segmentation. The present study proposes a two-stage methodology for instance segmentation in low-light images. In stage-I, we enhance the low-light images while denoising and enhancing the detail information. To mitigate degradation phenomena such as noise and loss of details caused by low-light image enhancement (LLIE), we propose a post-processing module for enhancing details while reducing noise. This module uses a diffusion approach with an attention mechanism to model the conditional distribution between under-enhanced and naturally illuminated images. The enhancement results from the first stage are used as input to the segmentation network in the second stage, and we observe that incorporating fine-grained features into the mask branch of the segmentation network positively affects the accurate delineation of finer masks. To achieve this objective, we devise a wavelet feature fusion module to effectively integrate the high-resolution and low-resolution features within the feature pyramid, thereby preserving more intricate details. We achieve great segmentation results on LIS, an extremely low-light instance segmentation dataset. Detailed Comparative experiments and ablation studies show the advantages and excellent generalization ability of our model.
Light-Trans YOLO: A Lightweight Network Based on Transformer for Defect Detection of Industrial Lace Surface
Authors: Wang Yafei , Jing Junfeng , Sheng Siyu
Published: September 2023

Lace surface Defect detection has always been a crucial step in the industrial production of lace products. However, due to the complex texture and deforma-bility of lace, as well as the difficulty of distinguishing minor defects from normal images. Therefore, the detection of defects on lace surfaces is a challenging but rarely studied task. In this paper, we propose a new lightweight detection framework , Light-Trans YOLO, to detect lace surface defects. First, our backbone network uses the lightweight network C3 GhostNet. In addition, to obtain more complete global information, we add the lightweight Mobile Transformer Block (MTB) to the backbone network. Then we use the proposed standard deep-wise separable convolution (SDSConv) and SDSBottleneck to design a new neck and add Coordinate Attention (CA) at the end, which overcomes the problem of information loss of deep separable convolution and extracts more effective information. In the training, we propose the loss function ϵSIoU, which can improve the separability of defective and normal samples. We conduct experiments on the industrial lace surface defect dataset collected in lace production sites, and the experiments prove that the mAP of our model is 96.6%, which is 7.7% higher than YOLOV5s, and the FPS and F1-score of the model reaches 50.3 and 0.93, which indicates that our model has a great trade-off between detection accuracy and speed.
Lattice simulations of non-minimally coupled scalar fields in the Jordan frame
Authors: Figueroa Daniel , Florio Adrien , Opferkuch Toby , Stefanek Benjamin
Published: September 2023

The presence of scalar fields with non-minimal gravitational interactions of the form \xi |\phi|^2 Rξ|ϕ|2R may have important implications for the physics of the early universe. We propose a procedure to solve the dynamics of non-minimally coupled scalar fields directly in the Jordan frame, where the non-minimal couplings are maintained explicitly. Our algorithm can be applied to lattice simulations that include minimally coupled fields and an arbitrary number of non-minimally coupled scalars, with the expansion of the universe sourced by all fields present. This includes situations when the dynamics become fully inhomogeneous, fully non-linear (due to e.g. backreaction or mode rescattering effects), and/or when the expansion of the universe is dominated by non-minimally coupled species. As an example, we study geometric preheating with a non-minimally coupled scalar spectator field when the inflaton oscillates following the end of inflation.
Renormalised spectral flows
Authors: Braun Jens , Chen Yong-rui , Fu Wei-jie , Geißel Andreas , Horak Jan , Huang Chuang , Ihssen Friederike , Pawlowski Jan M. , Reichert Manuel , Rennecke Fabian , Tan Yang-yang , Töpfel Sebastian , Wessely Jonas , Wink Nicolas
Published: September 2023

We derive renormalised finite functional flow equations for quantum field theories in real and imaginary time that incorporate scale transformations of the renormalisation conditions, hence implementing a flowing renormalisation. The flows are manifestly finite in general non-perturbative truncation schemes also for regularisation schemes that do not implement an infrared suppression of the loops in the flow. Specifically, this formulation includes finite functional flows for the effective action with a spectral Callan-Symanzik cutoff, and therefore gives access to Lorentz invariant spectral flows. The functional setup is fully non-perturbative and allows for the spectral treatment of general theories. In particular, this includes theories that do not admit a perturbative renormalisation such as asymptotically safe theories. Finally, the application of the Lorentz invariant spectral functional renormalisation group is briefly discussed for theories ranging from real scalar and Yukawa theories to gauge theories and quantum gravity.
Impact of personality traits on investment decision-making: Mediating role of investor sentiment in India
Authors: N. Kamath Aditi , S. Shenoy Sandeep , Abhilash  , Kumar N. Subrahmanya
Published: September 2023

The behavior of investors and their investment decision-making process in the financial markets are guided by psychological (sentiments) and personal characteristics (personality traits). Research in recent years has shown the connection between investor sentiment and personality traits and investment decisions. Though academic works in the field of behavioral finance are growing, studies on personality traits and investment decision-making with investor sentiment as a mediator are sparse. To this end, the paper aims to analyze the effects of Indian retail investors’ Big-five personality traits (Neuroticism, Extraversion, Openness to experience, Agreeableness, and Conscientiousness) on their short-term and long-term investment decision-making with the mediating effect of investor sentiment. The study employs the Partial Least Square-Structural Equation Model to test the framed hypotheses. The findings of the study reveal that Neuroticism has a significant positive effect (β=0.352, p<0.05) on investor sentiment. It further shows that Extraversion has a significant positive effect (β=0.186, p<0.05) on long-term decision-making. On the contrary, the consciousness trait has a significant negative effect (β=-0.335, p<0.05) on short-term investment decision-making. Furthermore, the Openness trait demonstrates a significant effect on both short-term and long-term investment decision-making (β=0.357, p<0.05; β=0.007, p<0.05). However, the findings reveal no significant intervening effect of investor sentiment between personality traits and investment decision-making. Thus, the study strongly exerted the impact of investors’ personality traits on their investment decision-making due to the high influence of personal characteristics over sentiment effects.
Evaluation of the Antioxidant, Photoprotective and Wound Healing Capacity of Guazuma ulmifolia lam. Extracts in L-929 Cells Exposed to UV-A and UV-B Irradiation
Authors: Araujo Lennon , Nunes Karine , Mello João , Nakamura Celso , Gomes Raquel , Bergamasco Rosangela
Published: September 2023

The UV irradiation causes the generation of reactive oxygen species in the skin that mediate oxidative damage, favoring photoaging and skin cancer. Photoaging can be mitigated with the use of plants with antioxidant capacity. This study sought to evaluate the photoprotection capacity of two extracts of Guazuma ulmifolia Lam., aqueous (G1) and acetonic (G2), on UV-A and UV-B irradiated L-929 cells, besides the wound healing capacity. In the antioxidant evaluation, it was found that the extracts have great antioxidant potential. In the irradiation tests, G2 increased cell viability by 19.99%. Furthermore, both extracts have shown wound healing capacity. There was a significant restoration of the superoxide dismutase and catalase enzymatic activity by G2 and through ultra-high performance liquid chromatography coupled to high-resolution mass spectrometry (UHPLC-HRMS/MS), two antioxidant compounds were identified: (epi)catechin and procyanidin. The results showed that the extracts are promising antioxidants, and may collaborate in wound healing, with emphasis to G2 which protected cells from UV-A irradiation.
Cultural Heritage in the Field of the Idea of Nature Protection in the Second Polish Republic (1918-1939) as an Antecedent of Ecological Education in Poland at the Turn of the 21st Century
Authors: Wolter Edyta
Published: September 2023

The aim of the article is to present the heritage of Polish culture on the example of the co-creators of the idea of nature protection, the “spiritual fathers” of ecological education in the Second Polish Republic (1918-1939) who developed normative acts of nature protection, such as the Act of 10 March 1934 on nature protection. They contributed to the establishment of the Temporary Commission for Nature Conservation (1919) / State Council for Nature Conservation (1925), the League for Nature Conservation (1928). They were advocates of nature reserves, national parks, as well as broadly understood education of Polish society aimed at raising ecological awareness (environmental education). The research problem is set in the interpretative paradigm of humanistic, social sciences. Consequently, a qualitative method of research was applied (qualitative text analysis /qualitative analysis of documents), in which hermeneutic understanding and text interpretation is relevant. The source basis includes printed texts and scientific research directly and indirectly connected with the subject issue. Shaping environmental awareness in the process of environmental education in the Second Polish Republic has a timeless value. It is a valuable heritage of national culture and an antecedent of ecological education implemented in the general tendency of postmodern culture, which evokes the ideals of the second half of the 20th century and the beginning of the 21st century.
9. A propósito da regionalização em Portugal: o processo em Espanha
Authors: Manso José Ramos Pires , Valenciano Jaime de Pablo
Published: September 2023

É comum ouvir-se dizer que países regionalizados apresentam níveis de desenvolvimento económico social superiores aos dos países não regionalizados ou centralizados. Quando em Portugal se fala novamente da regionalização do país, é importante aprender com outras experiências de regionalização, como Espanha, que iniciou o seu processo de regionalização em 1978. É esse o grande objetivo deste trabalho. Nesse sentido, começamos por fazer uma revisão da literatura internacional dedicada ao tema geral, enquadrando o assunto nas suas várias dimensões. Fazemos em seguida o mesmo para o caso específico espanhol. Feito isto, extraímos as conclusões finais, que não são absolutas ou indiscutíveis, porquanto ao longo do processo histórico-evolutivo se registaram alguns sobressaltos ou crises (como a do subprime de 2008, mais tarde bancária e até geral, e a crise da COVID-19, ainda presente). As leituras referidas e alguns indicadores económicos e sociais consultados sugerem um saldo positivo, apesar de alguma literatura especializada e indicadores poderem apontar noutra direção ou serem pouco conclusivos. Assim, ponderados os benefícios e os malefícios da regionalização, parece que os primeiros superam os segundos, valendo por isso a pena prosseguir o mesmo processo de regionalização em Portugal e, pelo menos, o seu debate.
8. Descentralização e desenvolvimento: para quê fazer o que ainda não foi feito?
Authors: Rego Conceição
Published: September 2023

Num país com uma tradição profundamente centralista, no que à estrutura da administração pública diz respeito, e com acentuadas assimetrias de desenvolvimento entre as diversas regiões, a análise da relação entre descentralização e desenvolvimento é pertinente. Este texto apresenta o modelo de organização da administração pública em Portugal, identifica algumas das diferenças de desenvolvimento que existem ao longo do país e discute algumas condições para que mais descentralização se possa tornar num instrumento para mais desenvolvimento e menos assimetrias territoriais. A qualidade da governação e o desenvolvimento efetivo de políticas territorializadas, de base local, estão entre as condições necessárias para que mais descentralização dê lugar a mais desenvolvimento com maior equidade.
The Impact of Health Education Utilizing Online QR Code on Hospital Stay in Patients Undergoing Day Surgery: A Retrospective Observational Study (Preprint)
Authors: Ma Guozhen , Jiang Pengjun , Zhao Yongling , Huang Yanhui , Luo Yijun
Published: September 2023

BACKGROUND

Day care surgery is required early recovery and discharge. To safely shorten hospital stay represents future direction of day surgery. The use of specific nursing interventions before surgery can reduce anxiety as well as speed up post-operative recovery. To provide effective preoperative health education may reduce post-operative fasting time and early ambulate, thereby shorten hospital stay. Specifically, to select a health belief model (HBM) for theoretical guidance to improve patients' compliance with health education for first ambulation, thereby shorten hospital stay in patients undergoing day surgery.

OBJECTIVE

The aim is to distribute online QR code to pre-hospitalized patients for health education and to improve compliance with early eating and ambulating after surgery, thereby shortening the hospital stay.

METHODS

The study was retrospective and observational. The relationship between health education-based utilizing online QR code and hospital stay in patients with inguinal hernia repair under general anesthesia following day surgery between from August 2022 to June 2023 was reviewed and analyzed.The t-tests or Mann-Whitney U-tests was used to compare the means of two groups (viewed online QR code and non-viewed).The chi-square test was used to compare the rates between the two groups. To explore the factors associated with these factors, regression and correlation analyses were performed.

RESULTS

There were significant differences in the participant's hospital stay, the time to postoperative first ambulation and dietary, Self-rating Anxiety Scale(SAS), and patient satisfaction (P<0.05). The analyses revealed statistically significant correlations between hospital stay and viewed online QR code,the time to postoperative first ambulation and dietary, SAS as well as pain scores(P<0.05). This fully adjusted linear regression analyses observed a negative relationship between viewed online QR code and hospital stay (β = −4.06, 95%CI: −6.43, −1.70; P =0.002), the time to postoperative first ambulation(β = −0.71, 95%CI: −1.25, −0.17; P =0.015) as well as the time to postoperative first dietary(β = −1.20, 95%CI: −1.71, −0.34; P =0.006) after adjusting for confounders.

CONCLUSIONS

Providing effective preoperative health education-based utilizing online QR code during pre-hospitalized may shorten hospital stay as well as improve the experience for patients with day surgery.
Mathematical modeling of variants of thoracolumbar junction transpedicular fixation after resection of Th12 vertebra under compressive load
Authors: Nekhlopochyn O.S. , Verbov V.V. , Cheshuk I.V. , Karpinsky M.Yu. , Yaresko O.V.
Published: September 2023

Background. The area of the thoracolumbar junction is characterized by a significant load that dictates increased requirements to stabilization, which should not only provide a reliable and rigid fixation, but also ensure the maximum uniform distribution of the load on all elements of both the metal structure and the bone tissue to exclude the failure of fixation in the long run. Purpose of the study is to investigate the influence of the transpedicular screw length and the presence of crosslinks on the load distribution during surgical resection of one vertebra from the thoracolumbar junction under the influence of axial compressive load. Materials and methods. We analyzed mathematical finite-element model of the part of thoracolumbar spine (Th9-L5), where the Th12 vertebra was removed and replaced by an interbody implant with additional fixation by a transpedicular system. Four variants of transpedicular fixation were modeled using short and long screws, as well as with and without two crosslinks. The stress-strain state of the models was studied under the influence of a vertical compressive distributed load of 350 N. Results. When using short screws and in the absence of crosslinks, the maximum stresses in the Th10, Th11, L1, and L2 vertebrae are 7.2, 5.3, 4.2, and 14.3 MPa, respectively, when using long screws without crosslinks — 6.5, 4.6, 3.8 and 13.5 MPa. The model with short screws and crosslinks shows 7.1, 4.4, 3.9 and 14.0 MPa, while the application of long screws with crosslinks is 6.3, 4.5, 3.5 and 13.2 MPa, respectively. Conclusions. With a compressive load, the use of long screws allows to reduce the level of stress in the bone elements of the models, the use of crosslinks provides greater rigidity to the posterior support of the transpedicular structure, which leads to an increase in stress on the fixing screws but allows to reduce the level of stress in the bone tissue.
Realism through 21st Century Eyes
Authors: Manhas Sumedha
Published: September 2023

Since the mid-19th century, a new form of literature took birth that rejected artificiality and presented the conventional in fresh yet insightful ways. Realist writers took inspiration from works of artists such as Gustave Courbet who approached the present realities of contemporary society and its social, economic, and political aspects. They aimed to portray their characters and circumstances that could be relatable to the reader, rather than relying on romanticized portrayals. This shift in literary representation aligned with Courbet's belief in presenting the unvarnished truth, devoid of any embellishment which paved the way for an unfiltered representation of reality in various artistic forms. These writers employed detailed observations and incorporated elements such as social customs, dialects, etc to provide a more authentic representation and enrich a reader’s experience. Realist literature exposes social injustices and inequalities while championing the importance of individual perspectives and depicting nuanced human conditions. Through a more socially engaged form of storytelling, it allows subsequent generations of writers to delve into unexplored areas and find their stories. Through this study, I identify the message and societal settings of various years by understanding the theme of stories written by famous realist writers, unveiling the hidden metaphors, symbols and social questions that it raises. Along with addressing the significance of realism, this paper also elaborates upon how the movement catalyzed a change in narration techniques and theme dynamics. This paper accentuates the existing relevance of realism within the tapestry of literature.
Mecanismos universales de acceso a la salud con énfasis en situaciones de emergencias y desastres.
Authors:   Instituto Mexicano del Seguro Social, Elizondo Argueta Sandra
Published: September 2023

En este fascículo se plantean los principales factores que ayudan a entender la relación entre los sistemas de salud y el acceso efectivo a esos servicios en situaciones de emergencias y desastres. Para ello, se argumenta que los desastres, mas que eventos fortuitos, son construcciones sociales. En el fascículo, se introducen los términos de gestión del riesgo, emergencias y desastres, y se explica cómo todas las personas somos susceptibles a sus consecuencias negativas. Además, se plantean los múltiples factores -internos y externos a las personas y a las comunidades- que son determinantes para entenderlos resultados ante una emergencia. Entre estos factores, está el nivel de universalidad en el acceso a la salud; los tipos de establecimientos de salud que ofrecen atención médica en el momento de la emergencia; la capacidad de asumir los costos de los servicios de rehabilitación; así como el apoyo en la vuelta a la normalidad de las comunidades.
Kalas Embryological Aspect with Reference to its Origin
Authors: Rohila Dr. Saurabh Chandra , Verma Dr. Hemendra Kr. , Sharma Dr. Shyoram
Published: September 2023

Abstract: Kala sharir is an important part of ayurvedic anatomy. It is a unique subject as well as difficult to understand. Acharya Sushrut was the first to explain Kala in 4th chapter of Shareer sthan named “Garbha Vyakran Shareer”. Acahrya Sushruta has defined the Kala as limiting or separating Membranes between Dhatu and Ashaya. These are extremely minute particles and in visible to naked eye, similar to cell. They can be understood by their functions in the body. There are seven Kalas in our body - Mamsdhara, Raktadhara, Medodhara, Shleshmadhara, Pureeshdhara, Pittadhara, Shukradhara kala. [1] Kala can be correlated with Membrane, Fascia, Covering etc. structures as per contemporary science. Membrane may be fibrous, serous and mucous. Membrane are formed during the embryonic period. Here an attempt is made to understand the formation of kala on the basis of Ayurvedic and modern view.