bluuebunny/crossref_metadata_2025_split huggingface dataset:
A characterization of two-weight norm inequalities for multidimensionalHausdorff operators on Lebesgue spaces
Authors: Bandaliyev Rovshan , Aliyeva Dunya 
Published: April 2023

Abstract
In this paper we give necessary conditions and sufficient conditions for the boundedness of multidimensional Hausdorff operator on weighted Lebesgue spaces. In particular, weestablish necessary and sufficient conditions for the boundedness of special type multidimensional Hausdorff operator on weighted Lebesgue spaces for monotone radial weight functions.Also, we get similar results for important operators of harmonic analysis which are specialcases of the multidimensional Hausdorff operator. The results are illustrated by a number ofexamples.
Mathematics Subject Classification (2010): 28C99; 46E30; 47G10.
Investigating the Complexities of VOC Pollution in Mexico City: A Source Apportionment Approach
Authors: Alam Mohammad Jahirul , Rappenglück Bernhard , Retama Armando 
Published: April 2023

Abstract
In this study we analyze an air quality data set, which was collected in the vicinity of the center of Mexico City during the ozone season from March to May 2016. It includes 33 volatile organic compounds (VOCs), nitrogen oxide (NO), nitrogen dioxide (NO2), the sum of nitrogen oxides (NOx), carbon monoxide (CO), sulfur dioxide (SO2) and particle matter with a diameter less than 1 μm (PM1). We use the Positive Matrix Factorization (PMF) receptor model to apportion ambient VOC concentrations into nine emission source factors, The analysis for all the data reveals the following breakdown of emission factors: secondary aerosol precursors, accounting for 21.7% of the total mass, followed by the source factors NO2 (20.4%), traffic-1 (19.3%), traffic-2 (16.2%), liquefied petroleum gas (LPG) (7.3%), geogenic (5.3%), biogenic (4.5%), incomplete fuel evaporation (2.7%), and solvents (2.2%). While the use of fossil fuel through various types of combustion and evaporation continues to be major fraction in Mexico City, additional sources could be identified. Apart from biogenic sources which tend to be more important closer to the end of the ozone season a second natural emission factors termed “geogenic” was identified. Overall, anthropogenic sources contribute almost 90%. Diurnal plots and bivariate plots show the relative importance of these emission source factors on different temporal and spatial scales which can be applied in emission control policies for Mexico City.
Influence of Different Fuels in the Combustion Synthesis of TiO2 Photoelectrodes Produced Using the Layer-by-Layer Technique
Authors: Gil Ana Paula Torrecillas , Camargo Luan Pereira , Lucilha Adriana Campano , Lucilha-Junior João Ricardo Campano , Silva Paulo Rogério Catarini da , de Matos Roberto , Dall'Antonia Luiz Henrique 
Published: April 2023

Abstract
Titanium dioxide (TiO2) particles were synthesized using combustion synthesis with different fuels and immobilized onto the ITO electrode surface using the Layer-by-Layer technique. The properties of the TiO2 were significantly influenced by the type of fuel used during synthesis (citric acid, L-alanine, glycine, or urea) and pH due to factors such as the fuel's reducing power and its complexation with the oxotitanium(IV) cation, [Ti = O]2+. Citric acid and L-alanine fuels formed only the anatase phase of TiO2, while glycine and urea formed mixtures of the anatase and brookite phases. Complete conversion to TiO2 at lower temperatures was observed when using urea. The band gap energy exhibited a significant decrease in the obtained materials compared to bulk TiO2 (3.2 eV). Urea and L-alanine fuels produced materials with smaller crystallite sizes and higher specific surface areas. Urea was the fuel that yielded TiO2 photoelectrodes with the best photoelectrocatalytic for the methylene blue discoloration reaction.
Application of machine learning polymer models explaining hypokalemia in COVID-19 patients
Authors: BASU ANAMIKA 
Published: April 2023

Abstract
Machine learning (ML) methods are used in genomics studies for elucidation of three-dimensional structure of chromatin in genome. In chromatin, the formation of loop in 3D structure, controls the expression of specific genes in transcription and replication level. There is a 100% sequence similarity between SARS CoV2 and human genome for seventy-one nucleotide sequence in chromosome 2. This short stretch of nucleotide sequence has been thoroughly analyzed with the help of UCSC Genome Brower. A few machine learning models for construction of 3D structure of human genome for this specific chromosomal region have been explored. In the specific chromosomal region, the presence of a protein coding gene (KCNJ3), enhancer, promoter and LTR region are identified. With the help of machine learning methods, the loop formation on the genome structure has been conformed. Topologically Associating Domains (TADs) in this specific chromosomal region are also predicted. The loop formation along the chromosomal region facilitates the binding of RNA polymerase II and CTCF in the promoter region of KCNJ3 gene. During transcription of KCNJ3 gene, epigenetic control of this gene expression occurs through acetylation in histone protein present in nucleosome complex. Thus, the rate of gene expression of KCNJ3 gene increases, which rises the K+ concentration inside the cells, resulting in hypokalemia in blood serum of COVID-19 patients.
Peptidoglycan in osteoarthritis synovial tissue is associated with joint inflammation
Authors: Holub Meaghan N , Wahhab Amanda , Rouse Joseph R , Danner Rebecca , McClune Mecaila M , Dressler Jules M , Strle Klemen , Jutras Brandon L , Edelstein Adam I , Lochhead Robert B 
Published: April 2023

Abstract
Objectives Peptidoglycan (PG) is an arthritogenic bacterial cell wall component whose role in human osteoarthritis is poorly understood. The purpose of this study was to determine if PG is present in synovial tissue of osteoarthritis patients at the time of primary total knee arthroplasty (TKA), and if its presence is associated with inflammation and patient reported outcomes.Methods Intraoperative synovial tissue and synovial fluid samples were obtained from 56 patients undergoing primary TKA, none of whom had history of infection. PG in synovial tissue was detected by immunohistochemistry (IHC). Synovial tissue inflammation and fibrosis were assessed by histopathology and synovial fluid cytokine quantification. Primary human fibroblasts isolated from arthritis synovial tissue were stimulated with PG to determine inflammatory cytokine response.Results A total of 33/56 (59%) of primary TKA synovial tissue samples were positive for PG by IHC, with mean 8 PG occurrences per 10 mm2 of tissue in PG-positive samples. Synovial tissue inflammation and elevated IL-6 in synovial fluid positively correlated with PG positivity. Primary human fibroblasts stimulated with PG secreted high levels of IL-6, consistent with ex vivo findings. Interestingly, we observed a significant inverse correlation between PG and age at time of TKA, indicating younger age at time of TKA was associated with higher PG levels.Conclusion Peptidoglycan is commonly found in synovial tissue from patients undergoing TKA. Our data indicate that PG may play an important role in inflammatory synovitis, particularly in patients who undergo TKA at a relatively younger age.
A 400V Buck Converter Integrated with Gate- Drivers and Low-Voltage Control in a 25V- 600V Mixed-Mode SiC CMOS Technology
Authors: Gupta Utsav , Zhang Hua , Liu Tianshi , Isukapati Sundar , Ashik Emran , Morgan Adam , Lee Bongmook , Sung Woongje , Agarwal Anant , Fayed Ayman 
Published: April 2023

Abstract
This paper offers the first demonstration of the design and layout of a fully integrated power converter in a monolithic Silicon Carbide (SiC) technology. A 400V Buck Converter integrated with Gate-Drivers and Low-Voltage Control circuitry in a 25V-600V Mixed-Mode SiC CMOS technology has been presented in this paper. A new SiC technology has been developed for this design which has a feature size of 1µm. This technology allows integration of High-Voltage Power FETs and Low-Voltage CMOS circuits on the same die with a common substrate. Both high-side and low-side Power FETs are N-type hence a bootstrap circuit is used, and the gate drivers use an isolated capacitive level shifter to translate the signals from the 25V domain to the 400V domain which is the input voltage of the Buck Converter. The load current is 1A and the nominal output voltage is 100V thereby meaning that the output power is 100W. The switching frequency is up to 1MHz, and the duty cycle can range from 10% to 90% signifying a wide range of operation of the converter.
Appropriateness of Antibiotic Prescriptions Among Non-Severe Febrile Patients in Primary Care in Rio de Janeiro, Brazil: A Prospective Observational Study
Authors: Moreira José , Lamas Cristiane , Fernandez-Carballo B. Leticia , Escadafal Camille , Dittrich Sabine , Brasil Patrícia , Siqueira André M. 
Published: April 2023

Abstract
Background: Overuse of antibiotics is a global health threat, particularly in low- and middle-income countries (LMICs). Most studies on antibiotic use in LMICs have focused on hospital settings, leaving a knowledge gap in primary care settings where a significant proportion of antibiotic use occurs. This study aimed to estimate the appropriateness of antibiotic prescriptions among acute non-severely ill febrile patients attending primary care level in urban Rio de Janeiro, Brazil.
Methods: This prospective observational study was conducted on consecutive febrile patients aged 2-65 years presenting with an axillary temperature (≥ 37.5° C) for a week or less at two primary care clinics and two emergency departments (EDs) in Rio de Janeiro, Brazil. Comprehensive clinical and laboratory data were gathered to investigate the cause of fever. We reviewed each consult where antibiotic prescription occurred, including its indication and appropriateness against international guidelines. Descriptive statistics and logistical regression models were performed to identify factors associated with inappropriate prescribing.
Results: 500 participants were enrolled, with antibiotic prescribed in 30.6% of visits. Antibiotic prescriptions were considered inappropriate 75% of cases, predominantly due to inappropriate indication (91.3%). The most common reason for prescribing antibiotics was acute respiratory infection (35%). Older participants, those enrolled during the summer, and those attending an EDs were more likely to receive an inappropriate prescription, while those reporting recent antibiotic use and those treated for urinary infection s were less likely to receive an inappropriate prescription.
Conclusions: This study highlights the high prevalence of inappropriate antibiotic prescriptions in primary care settings in urban Rio de Janeiro, emphasizing the need for targeted antimicrobial stewardship interventions to improve prescription practices in LMIC. Clinicaltrials.gov: NCT03047642
Analysis of the structure, thermal, and molecular dynamics of organic–inorganic hybrid [NH 2 (CH 3 ) 2 ] 2 CdBr 4 crystal at phases IV, III, II, and I
Authors: Kim Sun Ha , Joo Young Lak , Lim Ae Ran 
Published: April 2023

Abstract
A comprehensive understanding of the physicochemical properties of organic–inorganic hybrids is essential for their application. Therefore, a single crystal of [NH2(CH3)2]2CdBr4 was grown; the crystal structure was monoclinic, and the phase transition temperatures for the four phases IV, III, II, and I were 383 K (TC1), 417 K (TC2), and 427 K (TC3). Furthermore, the chemical shifts caused by the local field around 1H, 13C, 14N, and 113Cd changed continuously with temperature, especially near TC1, indicating that the local environment changes with temperature. Owing to the large change in 113Cd chemical shifts, the coordination geometry of Br around Cd in the CdBr4 tetrahedra changes near TC1. Therefore, it is thought that Br plays a significant role in the N‒H···Br hydrogen bond. Finally, the spin-lattice relaxation time T1ρ, representing the energy transfer around the 1H and 13C atoms of the cation, changed significantly with temperature. The activation energies obtained from the T1ρ results were two times larger at high temperatures than at low temperatures. This study provides an understanding of the fundamental properties of organic–inorganic hybrid compounds to broaden their applications.
Film and Stress Analysis Based on Large-span Single-layer Spherical Reticulated Shell
Authors: Fan Jingfeng , Mei Erzhao , Zhao Zhanguo , Tang Xiaoning 
Published: April 2023

Abstract
The paper analyzes the film sticking technology and stress of large-span single-layer spherical reticulated shell structure,uses SolidWorks,a three-dimensional software,to simply model the large-span single-layer spherical reticulated shell structure, analyzes the stress of triangle frame after filming by theoretical analysis and ANSYS simulation software.In the research, the experimenter makes one kind of film cutting device plate used for triangle frame.The film cutting by film cutting device plate not only can save cost and reduce labor intensity during sticking film,but also position the film accurately and improves the overall stiffness of the spherical reticulated shell.By analyzing the real stress situation in the actual operation process of large-span reticulated shell structure,the mechanical loading test was used to analyze the overall mechanical properties of the spherical reticulated shell structure before and after film sticking,and verified that the overall mechanical properties and stiffness of large-span reticulated shell structure are improved after film sticking by using film cutting device is used.The test analyses are basically consistent with the simulation analyses,which further verifies the feasibility of the film cutting device and the rationality of the design of large-span reticulated shell structure,which provides a reference for the further design of large-span reticulated shell structure.
Study on Ecological Environment Protection and Impact Based on TOPSIS Multi-index Evaluation
Authors: Sun Hao , Zhang Ran , Ren Peng 
Published: April 2023

Abstract
Today, 40% of the world's land is threatened by desertification, nearly 500000 square kilometers of land is turned into desert every year. Environmental protection is urgent. Saihanba National Forest Park in Hebei Province is a national nature reserve approved by the State Council. however, 20 years ago, the area was faced with increased desertification, soil erosion and loss of biodiversity. It is of great significance for ecological construction to study the influence of Saihanba forest farm construction on ecological environment. In this paper, the ecological environment impact assessment model of Saihanba forest farm is established, the environmental conditions before and after the restoration of Saihanba are compared and analyzed. First of all, this paper selects five indicators: the average gale days in typical years, CO2SC, PM2.5, forest coverage and terrestrial wild vertebrate species data, and uses the TOPSIS evaluation method based on AHP to establish assessment model to quantitatively evaluate the impact of Saihanba restoration on the environment. The analysis shows that with the restoration of Saihanba, the ecological environment in the area continues to improve, the forest coverage continues to increase, the average number of gale days continues to decrease, and the species of wild animals continue to improve.
Supervised and Unsupervised Deep LearningApproaches for EEG Seizure Prediction
Authors: Georgis-Yap Zakary , Popovic Milos , Khan Shehroz 
Published: April 2023

Abstract
Epilepsy affects more than 50 million people worldwide, making it one of the world’s most prevalent neurological diseases. The main symptom of epilepsy is seizures, which occur abruptly and can cause serious injury or death. The ability to predict the occurrence of an epileptic seizure could alleviate many risks and stresses people with epilepsy face. Most of the previous work is focused at seizure detection, we pivot our focus to seizure prediction problem. We formulate the problem of detecting preictal (or pre-seizure) with reference to normal EEG as a precursor to incoming seizure. To this end, we developed several supervised deep learning approaches model to identify preictal EEG from normal EEG. We further develop novel unsupervised deep learning approaches to train the models on only normal EEG, and detecting pre-seizure EEG as an anomalous event. These deep learning models were trained and evaluated on two large EEG seizure datasets in a person-specific manner. We found that both supervised and unsupervised approaches are feasible; however, their performance varies depending on the patient, approach and architecture. This new line of research has the potential to develop therapeutic interventions and save human lives.
Establishment and validation of diagnostic nomograms for patients with early gastric cancer
Authors: Yang Jiali , Lu Xiaming , Qian Yetao , Tao Jiale , Chen Wanyuan , Ru Guoqing , Jin Yanling 
Published: April 2023

Abstract
Purpose
Gastric cancer is often detected in the late stages, due to which its mortality rate remains high. Early detection of gastric cancer could significantly improve the prognosis of patients since the survival rate of early gastric cancer after treatment exceeds 96%. This study aimed to analyze early gastric cancer (EGC) risk factors and construct a nomogram model to predict EGC patients.
Methods
A retrospective study was conducted on 589 patients, including 325 patients with EGC and 264 patients with benign gastric disease. Age, sex, neutrophil to lymphocyte ratio (NLR), creatinine, hypertension, diabetes and other clinical data were collected accordingly. A nomogram was then constructed using univariate analysis and multivariate analysis. Moreover, a correction curve and AUCs were utilized to determine the accuracy of our model.
Results
Our findings revealed that sex, age, NLR, creatinine, basophil, hypertension and diabetes were risk factors for EGC. A predictive nomogram model was constructed based on the above risk factors showing good consistency and accuracy (AUC = 0.77), the validation cohort showed good consistency(AUC = 0.776).
Conclusion
The nomogram model presented good reliability, and it will help clinicians to predict and diagnose EGC patients timely while avoiding unnecessary gastrectomy.
Impact of surgical case order on percutaneous kyphoplasty for painful osteoporotic vertebral compression fracture: a retrospective study of 1214 cases
Authors: Shen Hao , Fang Xiang , Deng Zicheng , Zhou Feng , Yang Huilin 
Published: April 2023

Abstract
Introduction
Although percutaneous kyphoplasty (PKP) has been proven to be an effective approach for painful osteoporotic vertebral compression fracture (OVCF), controversy still exists regarding the effect of surgical case order on perioperative complications and clinical outcomes of PKP in the process of OVCF treatment.
Methods
A total of 1214 patients (1487 vertebral bodies) who were diagnosed with OVCFs and treated with PKP at our institution from January 2014 to December 2019 were retrospectively reviewed. All the enrolled patients were divided into four groups according to surgical case order. Demographic data and perioperative details were collected and analyzed. Visual Analog Scale (VAS) scores and Oswestry Disability Index (ODI) scores were recorded for the measurement of pain management. The anterior vertebral height restoration rate (AVHRR) and kyphotic Cobb angle correction rate (CR) were calculated to assess kyphosis correction. Binary logistic regression was used to elucidate the effect of surgical case order on bone cement leakage.
Results
The average age of the patients in the first case was significantly higher than that of the patients in the other three groups (P < 0.05). A significantly longer operative time of the first case was revealed compared to the others (P < 0.05). No difference in pain management and kyphosis correction was demonstrated among the four groups (P > 0.05). The incidence of cement leakage was found unchanged (P= 0.741). Surgical case order was proven not to be an independent risk factor for bone cement leakage (P = 0.675).
Conclusion
Surgical case order has no significant influence on perioperative complications and clinical or radiological outcomes of PKP.
MLK4 as an immune marker and its correlation with immune infiltration in Cervical squamous cell carcinoma and endocervical adenocarcinoma(CESC)
Authors: Gong Meng , Shen Fujin , Li Yang , Hong Li , Ming Lei 
Published: April 2023

AbstractMixed pedigree kinase 4 (MLK4) is a member of the serine/threonine kinases mixed pedigree kinase (MLKs) family. Few reports on immune-related targets in Cervical squamous cell carcinoma and endocervical adenocarcinoma CESC, and the role of MLK4 in cervical cancer remains to be studied. The expression of MLK4 in CESC was analyzed by TCGA database, and the effect of MLK4 on immune invasion was evaluated. Tissue microarray was used to verify the expression of MLK4 in CESC patients, and it was found that MLK4 was significantly overexpressed in CESC, and significantly correlated with CESC grade. Multiple analysis algorithms showed that the high expression of MLK4 was negatively correlated with immune cell infiltration in CESC. Analysis showed that MLK4 expression was negatively correlated with the infiltration of various immune cells including CD8 + T cells, and MLK4 mRNA expression was positively correlated with immune checkpoints PD-L1,CTLA4, LAG3, and negatively correlated with immune promotion genes CD86 and CD80. Furtherly, In vitro assays were conducted to identify the biological behavior of MLK4 in C33A cells. The downregulation of MLK4 resulted in reduced cell proliferation and invasion in C33A cells, as revealed by the EDU and transwell assays. QPCR results show that knock down MLK4 would inhibit the expression of classical biochemical markers CEA、AFP and HCG. Therefore, MLk4 may play a critical role in Cervical cancer.
Research on image recognition of three fritillaria cirrhosa species based on deep learning
Authors: Chen Yuxiu , Li Yuyan , Zhang Sheng 
Published: April 2023

Abstract
Based on the deep learning method, a network model that can quickly and accurately identify the species of fritillaria cirrhosa species was constructed. Taking three kinds of fritillaria cirrhosa images, the learning method based on deep residual convolutional neural network was used to input the unprocessed original image directly as input, and the features of the image were extracted through convolution and pooling operations. On this basis, the ResNet34 model was improved, and the additional fully connected layer was added in front of the Softmax classifier to improve the learning ability of the network model. Visual analysis of the training process was carried out to determine the optimal number of iterations for model training and ensure the recognition accuracy. Total of 3915 images of three kinds of fritillaria cirrhosae were used as data sources for the experiments, among which 160 images of each type were randomly selected to form the validation set, and 60 Songbei, 54 Qingbei, and 58 Lubei images were selected to form the test set. The final training set recognition accuracy rate was 95.8%, the validation set accuracy rate reached 92.3%, and the test set accuracy rate was 88.7%. The image recognition method of fritillaria cirrhosa based on deep learning proposed in this paper is effective and feasible, which can quickly and accurately identify the species of fritillaria cirrhosa species, and provides a new idea for the intelligent recognition of Chinese medicinal materials.