bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hypophosphatemic Rickets secondary to Fanconi Syndrome and Hypogonadotropic Hypogonadism; A Rare Case Report and Literature Review
Authors: Zaidi Syeda Mahrukh Fatima , Siddiq Mohammad Arham , Qamar Safia , Hasan Syed Mohammad , Khem Bharta , Alam Muhammad Tanveer , Zaidi Syeda Dua e Zehra 
Published: May 2023

Abstract
A 14-year-old female patient presented with generalized body weakness and difficulty walking. Further history revealed growth and pubertal delay. On examination there was wrist widening, bowing of legs with breast, and pubic hair of tanner stage 2. Serum and urine investigations presented diagnoses of Fanconi syndrome associated with hypophosphatemic rickets with low LH and FSH levels and normal prolactin. MRI showed a normal-sized pituitary gland without any mass lesion. The patient was started with phosphorus, magnesium, and calcium supplements with 25(OH)D.
Measuring Long-Term Exposure to Wildfire PM2.5 in California: Time-Varying Inequities in Environmental Burden
Authors: JA Casey , MA Kioumourtzoglou , A Padula , DJX González , H Elser , R Aguilera , AJ Northrop , SY Tartof , ER Mayeda , D Braun , F Dominici , EA Eisen , R Morello-Frosch , T Benmarhnia 
Published: May 2023

Abstract
Introduction: While considered extreme events, wildfires will lengthen and strengthen in a changing climate, becoming an omnipresent climate-sensitive exposure. However, few studies consider long-term exposure to wildfire fine particulate matter (PM2.5). Here, we present a conceptual model to assess long-term wildfire PM2.5 exposure and evaluate disproportionate exposures among marginalized communities.
Methods: We used 2006-2020 California census tract-level daily wildfire PM2.5 concentrations generated from monitoring data and statistical techniques to derive five long-term wildfire PM2.5 measures. We classified tracts based on their CalEnviroScreen (CES) score, a composite measure of environmental and social vulnerability burdens, and their racial/ethnic composition. We determined associations of (a) CES score and (b) racial/ethnic composition with the five wildfire PM2.5 measures using separate mixed-effects models accounting for year and population density. To assess differences by year, models included CES or race/ethnicityyear interaction terms.
Results: We conceptualized and compared five annual wildfire PM2.5 exposure measures to characterize intermittent and extreme exposure over long-term periods: (1) weeks with wildfire PM2.5 >5μg/m3; (2) days with non-zero wildfire PM2.5; (3) mean wildfire PM2.5 during peak exposure week; (4) smoke-waves (2 consecutive days with 25μg/m3 wildfire PM2.5­); (5) annual mean wildfire PM2.5 concentration. Within individual years, we observed exposure disparities, but generally did not when averaging over the study period. Non-Hispanic American Indian and Alaska Native populations, however, were consistently over-represented among the exposed population compared to their California-wide representation.
Conclusion: We found that wildfire PM2.5, measured via five metrics, disproportionately affected persistently marginalized California communities—with substantial year-to-year variability.
Effect of central - local financial relations on regional business environment -- Fuzzy-set qualitative comparative analysis
Authors: Junli Wang , Jianjun Li 
Published: May 2023

Abstract
Regional business environment is the core institutional environment of protecting the vitality of the main market and pushing forward high-quality economic development. The central-local financial relation division is of great significance for arousing the initiative of the central and local governments, regulating the structure of government functions, and the relation of the government and the market. This paper studies influence of the groups resulting from the integration of six key elements of the central-local financial relations on the business environment using fsQCA (fuzzy-set qualitative comparative analysis) method. Our main findings show that there are five patterns of groupings causing the high business environment. The groups of low business environments are characterized by low financial autonomy and partial or total absence of financial and administrative powers. This paper also explores the feasibility of QCA method for research in the field of finance and taxation. Moreover, it shows that the matching of the financial and administrative powers, and a higher degree of financial autonomy, is the key factor to create a high-level business environment. The study provides a theoretical basis of further reform and reconstruction of China’s financial system.
Non-viral pathogens of infectious diarrhoea post allogeneic stem cell transplantation are associated with graft-versus-host-disease.
Authors: Rees Matthew , Rivalland Alexandra , Xie Mingdi , Yong Michelle , Ritchie David 
Published: May 2023

Abstract
Infectious diarrhoea is common post-allogeneic haematopoietic stem-cell transplantation (alloHSCT). While the epidemiology of Clostridioides difficile infection (CDI) post-alloHSCT has been described, the impact of other diarrhoeal pathogens is uncertain. We reviewed all alloHSCT between 2017–2022 at a single large transplant centre; 374 patients were identified and included. The 1-year incidence of infectious diarrhoea was 23%, divided into viral (13/374, 3%), CDI (69/374, 18%) and other bacterial infections (16/374, 4%). There was a significant association between infectious diarrhoea within 1-year post-transplant and the occurrence of severe acute gastrointestinal graft-versus-host-disease (GVHD, OR = 4.64, 95%CI 2.57–8.38, p < 0.001) and inferior GVHD relapse-free-survival on analysis adjusted for age, donor type, stem cell source and T-cell depletion (aHR = 1.64, 95%CI = 1.18–2.27, p = 0.003). When the classes of infectious diarrhoea were compared to no infection, bacterial (OR = 6.38, 95%CI 1.90–21.40, p = 0.003), CDI (OR = 3.80, 95%CI 1.91–7.53, p < 0.001) and multiple infections (OR = 11.16, 95%CI 2.84–43.92, p < 0.001) were all independently associated with a higher risk of severe GI GVHD. Conversely, viral infections were not (OR = 2.98, 95%CI 0.57–15.43, p = 0.20). Non-viral infectious diarrhoea is significantly associated with the development of GVHD. Research to examine whether the prevention of infectious diarrhoea via infection control measures or modulation of the microbiome reduces the incidence of GVHD is needed.
Risk assessment of dental-maxillofacial morphology affecting alveolar bone loss of the first molar in periodontitis based on a machine learning algorithm,a pilot study
Authors: Nie Haidan , Wang Ru , Yuan Yuan , Chen Yuxin , Guo Honglei , Zhi Min , Qiao Feng , Xiao Mo , Zhou Liwen , Wang Yilin , Zuo Zhigang , Li Xinyi , Wang Yonglan , Wu Ligeng 
Published: May 2023

Abstract
Background To establish a risk assessment of dental-maxillofacial morphology affecting alveolar bone loss in patients with periodontitis using machine learning algorithms.Methods Four machine learning algorithms were used to screen possible predictor variables such as age, sex, clinical probing depth (CPD), skeletal relationship between the maxilla and mandible (ANB angle), mandibular plane angle (FH-MP), upper and lower central incisor inclination (U1-L1). The algorithms were also used to establish a risk assessment model in patients with periodontitis. A receiver operating characteristic curve was used to evaluate the discrimination of the models. The model was visualized by a nomogram.Results The optimal variables screened were CPD and FH-MP using random forest algorithm; CPD, FH-MP and U1-L1 using lasso regression; and CPD, FH-MP, and age using both optimal subset regression and cross-validation. CPD, FH-MP, U1-L1, and age were selected as the optimal prediction subsets. The area under the receiver operating characteristic curve was 0.778.Conclusions Within the limitations of this study, FH-MP was an important predictor of the degree of alveolar bone loss in the first molar affected by periodontitis. The degree of alveolar bone loss in the first molar was more serious in high-angle periodontitis than in those with low- and average-angle periodontitis.
Research revealed a targeted regulatory relationship between hsa-mir-296 or hsa-mir-744 and TNSF15 in colorectal cancer
Authors: Tan Pengsheng , Zhang Shuiying , Hu Zhaoyang , Zheng Sen , Zhang Yongli , Zheng Feng , Wang Cuiping , Yang Xiuhong , Liu Xueli 
Published: May 2023

Abstract
BACKGROUD: Colorectal cancer has an extremely high incidence and mortality rate, and early detection and treatment is important for health.
METHODS: DEmiRNAs were searched for in different datasets. core DEmiRNAs were identified by one-factor cox analysis and target genes were predicted using targetscan and miRDB. Select intersections of target genes and DEmRNAs to identify key genes by survival analysis.
RESULTS: Three miRNAs in COAD and two miRNAs in READ were identified as core DEmiRNAs. After searching for targeted mRNA and conducting survival and expression analysis, it was found that hsa-mir-296-TNSF15 and hsa-mir-744-TNSF15 are effective regulatory networks in colorectal cancer.
CONCLUSION: This study identified hsa-mir-296-TNSF15 and hsa-mir-744-TNSF15 as effective regulatory networks related to the prognosis of colorectal cancer.
Virtual Assistant and Navigation for Visually Impaired using Deep Neural Network and Image Processing
Authors: Bhukhya Charan , Bhumireddy Kashyap , Palakonalu Harsha Vardhan Reddy , Singh Shashank Kumar , Bansod Saurabh , Pal Prashant , Kumar Yogesh 
Published: May 2023

Abstract
The quick development of technology promotes the use of the resources that are at hand to make simpler daily tasks and improve the standard and quality of life for those who are blind. This module suggests creating a system of virtual assistant glasses to help the visually impaired navigate around them. An obstacle detection module built into the device uses computer vision to find obstacles and inform the user through haptic feedback. The system also has a text recognition module that can turn any text it identifies into speech that the user can hear using built-in speakers in the user's glasses. Users are now able to access to printed materials like menus and signs in a way that was not previously feasible. A sign board recognition module, which converts text on signs into speech, is also part of the system. The proposed approach has the potential to enhance the liberty and standard of existence of blind individuals through integrating these attributes in a wearable device.
Some complements and refinements of the operator Bellman inequality
Authors: Liao Wenshi , Long Pujun , Cao Haisong , Wu Junliang , Li Chunyan 
Published: May 2023

Abstract
We present several generalizations and refinements of the Bellman inequality involving the interpolation paths by the Callebautinequality and apply it to the operator geometric means acting on a Hilbert space. We also give some reverse operator Bellmaninequalities. Finally, we get a reverse Choi-Davis-Jensen inequality concerning operator mean and use it for obtaining agenernalization of the reverse operator Bellman type inequality.
AMS Subject Classification: 15A42; 47A63; 47A30
Hybrid Cat Swarm Optimization with Genetic Algorithm to solve the Open Shop Scheduling with Vehicle Routing Problem
Authors: Kekli Amal , Nouri Houssem Eddine , Driss Olfa Belkahla 
Published: May 2023

Abstract
Supply chain management consists of optimising production process from raw material sourcing to final product, logistics and delivery to the final customer. In this context, we propose for the first time the hybridization of two metaheuristic algorithms, the cat swarm optimization and the genetic algorithm, for a simultaneous resolution of the open shop scheduling problem with the vehicle routing problem. The objective function is to minimize the end date of workshop process called makespan and the total traveled distance by the vehicles. The computational experiments were performed based on well-known benchmark data instances. The generated results were compared with the best approaches of the literature, in terms of generated solutions and processing time, in order to show the effectiveness of the proposed approach.
Systematic Review of Data Mining in Education on the Levels and Aspects of Education.
Authors: Missah Yaw Marfo , Inusah Fuseini , Ussiph Najim , Frimpong Twum 
Published: May 2023

Abstract
The application of Data Mining (DM) in education is helping educational leadership to make informed decisions. This review seeks to identify the pattern of DM research by looking at the levels and aspects of education. As the core of schooling is Basic Education (BE), the research seeks to find out the degree of application of DM at this level to identify the challenges and prepare learners for higher education. The databases of nine (9) top-ranked publishers namely; Elsevier, Springer, Hindawi, Sage, SAI, IEEE, MDPI, Emerald and Wiley are used to identify the most recent and relevant papers in Educational DM (EDM) published from the year 2017 to 2022 specifically applied to a specific level of education. After careful filtering, only ninety-four (94) articles and conference papers were fit for the specification. The investigations revealed that only 7.45% of the published research works in EDM for basic education, 11.70% for pre-tertiary education and an overwhelming 80.85% for the tertiary level. Lower levels of education are marginalized. Also, the available literature on educational DM concentrates on student performance using attributes such as demographic factors, family socio-economic life, school environment, learner behaviour and psychological factors among others neglecting the availability of resources to facilitate quality tuition. The use of pedagogical tools is necessary for learning to improve quality. The research has revealed both a population gag and a knowledge gap.
CXCL9 and its receptor CXCR3, an important link between inflammation and cardiovascular risks in RA patients
Authors: Shamsi Afsaneh , Roghani Seyed Askar , Abdan Zahra , Soufivand Parviz , Pournazari Mehran , Bahrehmand Fariborz , Vafaei Ali , Salari Nader , Soroush Masood Ghasemzade , Taghadosi Mahdi 
Published: May 2023

Abstract
Background Cardiovascular disease (CVD) is the most common cause of mortality in rheumatoid arthritis (RA), and Inflammation has a decisive role in its pathogenesis. CXCL9 contributes to multi aspects of inflammatory reactions associated with the pathogenesis of CVD. In the current study, we evaluated the association of plasma CXCL9 and CXCR3 gene expression with Cardiovascular risk factors in RA patients for the first time.Material and methods Thirty newly diagnosed, 30 under-treatment RA patients and 30 healthy subjects were recruited in this study. The plasma concentration of CXCL9 and CXCR3 gene expression were measured using ELISA and Real-Time PCR, respectively. The CVD risk was evaluated using Framingham Risk Score (FRS) and Systematic Coronary Risk Evaluation (SCORE).Results The plasma levels of CXCL9 were significantly higher in the newly diagnosed and under-treatment RA patients compared to the control group (P < 0.0001 and P < 0.001, respectively). Also, The CXCR3 gene expression was remarkably elevated in newly diagnosed and under-treatment patients (P < 0.001 and P < 0.01, respectively). The CXCL9 and CXCR3 were remarkably associated with RA disease activity (P = 0.0005, r = 0.436; P = 0.0002, r = 0.463, respectively). The FRS was remarkably higher in newly diagnosed and under-treatment patients (P = 0.014 and P = 0.035, respectively). The CXCR3 gene expression significantly correlated with age, systolic blood pressure, FRS, and SCORE (P = 0.020, r = 0.298; P = 0.006, r = 0.346; P = 0.006, r = 0.349; P = 0.007, r = 0.341, respectively). The CXCL9 plasma concentration had a significant negative correlation with plasma HDL and LDL levels (P = 0.033, r=-0.275; P = 0.021, r=-0.296, respectively).Conclusion CXCL9 and CXCR3 correlates with different variables of CVD in RA.
Hexavalent chromium detoxification by haloalkaliphilic Nesterenkonia sp strain NRC-Y immobilized in different matrices
Authors: Maany Dina Abdelfatah , Wahba Marwa Ibrahim , Abo-Alkasem Mohammed Ibrahim , El-Abd Mostafa A , Ibrahim Abdelnasser Salah Shebl 
Published: May 2023

Abstract
In order to develop a bioprocess for Cr(VI) detoxification in industrial effluent, a previously isolated potent Cr(VI) reducing haloalkaliphilic Nesterenkonia sp strain NRC-Y was immobilized in nine different matrices including natural polymer, modified natural, synthetic and mixtures of natural and synthetic polymers and investigated for Cr(VI) detoxification. Among the tested carriers and immobilization approaches, Nesterenkonia sp NRC-Y cells encapsulated in amidated pectin beads showed highest Cr(VI) reduction efficiency (58.4% of initial Cr(VI) concentration 150 mg/L after 20 h), followed by alginate, alginate-PVA, alginate-PVA-chitosan, PVA-PVP, and PVA respectively. Therefore, amidated pectin was selected for further investigation and immobilization of both whole cells and chromate reductase. Operational stability study revealed that immobilized whole cell was more efficient and stable than immobilized chromate reductase and the free cells retaining about 60%, 27.0% and 11.5% of its initial activity after four successive batches, respectively. The temperature and pH optima for the immobilized cells were 35⸰C and 7.0, respectively. The pH and thermal stability of Nesterenkonia sp NRC-Y cells were significantly enhanced upon immobilization in amidated pectin beads. The developed immobilized biocatalyst was applied for Cr(VI) reduction in industrial effluent samples, and was able to completely reduce Cr(VI) within 4 and 8 h for effluents for initial Cr(VI) concentrations of 10 and 30 mg/L, respectively. To the best of our knowledge, this is the first report about of Cr(VI) detoxification by immobilized Nesterenkonia sp NRC-Y in amidated pectin beads. The developed immobilized biocatalyst is promising and has the potential for large-scale Cr(VI) detoxification application.
Sustainable Production and In-place Utilization of a Liquid Nitrogenous Fertilizer
Authors: Yang Kaiwen , Han Shuhe , Wang Yuting , Yu Yifu , Zhang Bin 
Published: May 2023

Abstract

Efficient production and utilization of nitrogenous fertilizers can increase the food supply to support the dramatic increase of world's population. However, the conventional centralized production and excessive use of solid nitrogenous fertilizers leads to severe waste and environmental pollution. The adoption of liquid nitrogenous fertilizer can maximize the utilization efficiency. Since plants can simultaneously absorb ammonium- and nitrate-nitrogen fertilizer, herein, we propose a two-step relay strategy to sustainably produce NH4NO3 solution for in-place utilization by using air and water as raw materials. This distributed synthesis approach can be easily incorporated into present irrigation systems with controllable fertilizer concentrations for different crops. Furthermore, a techno-economic analysis is conducted to confirm the application potential of this strategy. This perspective provides new insight for the sustainable production and in-place utilization of liquid nitrogenous fertilizers at appropriate concentrations and hopefully promotes the development of smart agriculture.
A textured surface platform for dual-mode temperature regulation in photonic textiles
Authors: Abebe Muluneh G. , Khousakoun Eric , Gidik Hayriye , Mohsenzadeh Elham , Desprez Sylvain , Maes Bjorn 
Published: May 2023

Abstract

Personal radiative heat regulation using photonic textiles can facilitate a decreased energy consumption in buildings by expanding the range of comfortable ambient conditions. Here, we propose a dual-mode photonic design, which modulates the emissivity using a textured membrane that changes its surface structure between flat and wrinkled. The dual nature of the design is achieved through a varying high and low surface emissivity to provide both cooling and heating functions. Theoretical calculations employing a variety of potential materials and geometries predict a substantial thermoregulation potential of the design, with a setpoint window of up to 5.5 °C, which is achieved using a Lambertian surface texture from zinc oxide at the frontal surface. Furthermore, we fabricate a proof-of-concept demonstrating thermal comfort in a setpoint temperature window of about 3 °C, with further room for improvement. This design leverages the concept of diffusing surfaces, well-known in the photovoltaics field e.g., towards a textile application.
A coupled cavity mode sensing scheme using a RF diagnostic field
Authors: Goodwin-Jones Aaron W. , Zhu Haochen , Blair Carl , Brown Daniel D. , vanHeijningen Joris V. , Ju Li , Zhao Chunnong 
Published: May 2023

Abstract

Precise optical mode matching is of critical importance in experiments using squeezed-vacuum states. Automatic spatial-mode matching schemes have the potential to reduce losses and improve loss stability. However, in quantum-enhanced coupled-cavity experiments, such as gravitational-wave detectors, one must also ensure that the sub-cavities are also mode matched. We propose a coupled cavity mode sensing scheme, using a RF diagnostic field tuned to the HG20/LG10 mode frequency. The error signals are derived to be proportional to the difference in waist position, and difference in Rayleigh ranges, between the sub-cavity eigenmodes. The two error signals are separable by 90 degrees of demodulation phase. We demonstrate reasonable error signals for a simplified Einstein Telescope optical design. This work will facilitate routine use of extremely high levels of squeezing in current and future gravitational-wave detectors.
Evaluation of Artificial Intelligence and Efficacy of Audit Practice in Nigeria
Authors: Owonifari Victor Olufemi , Igbekoyi Olusola Esther , Awotomilusi Niyi Solomon , Dagunduro Muyiwa Emmanuel 
Published: May 2023

Abstract
Artificial Intelligence (AI) has become increasingly popular globally as a crucial tool for auditing financial statements, but in Nigeria, the adoption and use of AI tools by auditors is still in its early stages. Attention has been primarily focused on the Big 4 accounting firms, with little attention given to small-scale audit practitioners in Nigeria. This study seeks to examine the impact of AI on audit practice in Nigeria by employing a survey research design. The population of this study comprises 89 accounting firms operating in the Ikeja Local Government area of Lagos State, with a sample size of 62 firms selected using purposive sampling. Data was collected through a well-structured questionnaire, and the reliability of the research instrument was confirmed with a Cronbach Alpha test result of an average of 70%. Descriptive analysis and regression analysis were used to analyze the data, and the results indicated that data mining, machine learning, and image recognition exhibited a significant positive relationship with audit practice in Nigeria. The study concluded that the use of AI will enable auditors to predict future trends and make more informed decisions that focus on improving audit practice. The study recommended constant training of accountants and audit personnel on the use of data mining techniques to improve audit practice, investment in machine learning tools by audit firms in Nigeria, and increased use of image recognition to assist in object classification.
JEL Classification Codes: M42, M49, C451.