bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bioengineered stem cell membrane functionalized nanoparticles combine anti-inflammatory and antimicrobial properties for sepsis treatment
Authors: Lu Lu , Li Jian , Yuan Junbin , Nie Xinmin , Huang Xueyuan , Dong Hang , Su Yanrong , Huang Yufeng , Kou Qingjie , Liu Leping , Liu Haiting , Zhou Xionghui , Gui Rong , Gu Lan 
Published: February 2023

Abstract
Background
Sepsis is a syndrome of physiological, pathological and biochemical abnormalities caused by infection. Although the mortality rate is lower than before, many survivors have persistent infection, which means sepsis calls for new treatment. After infection, inflammatory mediators were largely released into the blood, leading to multiple organ dysfunction. Therefore, anti-infection and anti-inflammation are critical issues in sepsis management.
Results
Here, we successfully constructed a novel nanometer drug loading system for sepsis management, FZ/MER-AgMOF@Bm. The nanoparticles were modified with LPS-treated 'bone marrow mesenchymal stem cell (BMSC) membrane, and silver metal organic framework (AgMOF) was used as the nanocore for loading FPS-ZM1 and meropenem which was delivery to the infectious microenvironments (IMEs) to exert dual anti-inflammatory and antibacterial effects. FZ/MER-AgMOF@Bm effectively alleviated excessive inflammatory response and eliminated bacteria. FZ/MER-AgMOF@Bm also played an anti-inflammatory role by promoting the polarization of macrophages to M2. When sepsis induced by cecal ligation and puncture (CLP) challenged mice was treated, FZ/MER-AgMOF@Bm could not only reduce the levels of pro-inflammatory factors and lung injury, but also help to improve hypothermia caused by septic shock and prolong survival time.
Conclusions
Together, the nanoparticles played a role in combined anti-inflammatory and antimicrobial properties, alleviating cytokine storm and protecting vital organ functions, could be a potential new strategy for sepsis management.
Comprehensive analysis of Classical Machine Learning models and Ensemble methods for predicting Crime in urban society
Authors: Divyasri S.R , Saranya R , P.Kathiravan  
Published: February 2023

Abstract
Crimes are a social issue that affects not only an individual but also humanity. Crime classification techniques for crime forecasting are an emerging research area. generally, Crime data are centrally organized with regular maintenance of the criminal registers that can aid officers in sharing observations and improve early alert approaches to keep the citizens secure within their towns. Hence, the aim of this study is to compare the performance of the state-of-the-art Dynamic Ensemble Selection of Classifier algorithms for predicting crime. We used five different benchmark crime datasets (Chicago, San Francisco, Pheonix, Boston, and Vancouver) for this experimental research work. The performance of the state-of-the-art dynamic ensemble selection of classifiers algorithms was evaluated and compared using various performance evaluation metrics such as accuracy, F1-score, precision, and recall. The KNORA Dynamic ensemble algorithms, which select the subset of ensemble members before the forecasting, outperformed the typical machine learning algorithms, and also the traditional ensemble algorithm techniques in terms of accuracy showed that the dynamic ensemble algorithms are more powerful. This ability to predict crimes within urban societies can help citizens, and law enforcement makes precise informed conclusions and preserves the neighborhoods more unassailably to improve the quality of life for humans.
Experimental research on supercritical CO2 true triaxial pneumatic fracturing
Authors: Wang Xiaofei , Wang Enyuan , Hu Shaobin 
Published: February 2023

Abstract
The application of supercritical CO2 pneumatic fracturing technology to the development of shale gas and coalbed methane was explored. Experimental tests were conducted using the first true triaxial SC-CO2 pneumatic fracturing experimental system, and the effects of initial air pressure and energy-accumulation agent dosage on pressure changes and the initiation and propagation of fracturing were studied. Through the analysis of the pressure curve, it is found that, at a certain volume, the efficiency of reaction pressurisation can be improved by appropriately increasing the amount of accumulator and increasing the initial air pressure; compared with hydraulic fracturing and SC-CO2 fracturing, the process of pneumatic fracturing is more similar to that of blasting in rock. The reverse tensile stress wave generated in the process of pneumatic fracturing is the cause of the annular cracks; the cracks on the surface of the sample after the cracking exhibit fractal characteristics, with a good linear fit between the fractal dimension Fd and the damage variable w, as defined by the cracked area. Since the fractal dimension can better describe the complexity of the crack, using the fractal dimension as the damage variable can better describe the degree of damage. The research provides a reference for the engineering problem of the new waterless fracturing technique of SC-CO2 pneumatic fracturing in shale gas production.
Sonographic Follow-Up after Pyeloplasty: A Large, Retrospective Cohort Analysis
Authors: Wickramasekara Nipun , Ignatius Jenosha , Lamahewage Ananda 
Published: February 2023

Abstract
Purpose
Routine scintigraphy after surgery for uretero-pelvic junction obstruction (UPJO) is discouraged, making ultrasound the preferred option for follow up. Yet, interpretation of sonographic parameters is rarely straightforward.
Methods
We reviewed 111 cases including 97 pyeloplasty (52 open, 45 laparoscopic) and 14 pyelopexy, during a 7-year period. Pre- and postoperative pelvic Antero-Posterior Diameter (APD), Cortical Thickness (CT) and Pelvic/Cortex Ratio (PCR) was measured serially.
Results
85% were free of symptoms by 1 year. Only 11% had complete resolution of hydronephrosis. Eleven (10.4%) needed a redo procedure. Mean reduction in APD was 32.6%, 45.8%, and 51.7% at 6 weeks, 3 and 6 months respectively. CT increased by an average 55.9%, 75.6% and 107.6% while PCR reduced by 6.9, 8.0 and 8.8 at given intervals. Comparison of open and laparoscopic procedures showed no significant difference. Review of failed pyeloplasty showed failure of reduction in APD (APD > 3cm or < 25% reduction) and PCR (PCR > 4) as early indicators for failure.
Conclusion
Both APD and PCR are reliable indicators of success and failure following pyeloplasty while CT alone is not as useful. Laparoscopic procedures are non-inferior to standard open surgery.
Analyzing the Impact of HSEE, Internet of Things, and Resilience Engineering on Job Satisfaction (Case Study: Tehran Electricity Company)
Authors: Akbari Amir Hossein , Rezaeenour Jalal , Tabassian Mohammad , Jabbari Mehdi 
Published: February 2023

AbstractJob satisfaction is a significant matter for managers and employees. Job satisfaction denotes the interest of individuals in fulfilling job responsibilities. Job satisfaction in employees increases profitability in the company, loyalty to the company, and work efficiency. Promotion, reciprocal respect, job security, salary, benefits, etc. are some factors increasing job satisfaction in employees. One of the items that affect job satisfaction is the Internet of Things (IoT), which improves the work environment in the organization. Further, resilience engineering (RE) improves the ability of an organization to tackle hazards and threats. In addition to the aforementioned, HSEE has proven significant in organizations and it is beneficial in increasing efficiency. Considering the potential hazards in organizations, focusing on the actions and decisions of employees of organizations is crucial. Therefore, it is essential to analyze health, safety, environment, and ergonomics (HSEE) in the workplace. In this study, a neural network (AI) and an adaptive network-based inference system (ANFIS) have been suggested to analyze the effects of IoT, HSEE, and RE on the job satisfaction of the employees of Tehran Electricity Company. For better training of the recommended networks, a metaheuristic genetic algorithm has been utilized to choose a model with the lowest error. Therefore, a standard questionnaire with IoT, HSEE, and RE as input and job satisfaction as output was prepared. The efficiency of the questionnaire was examined using Cronbach’s alpha. The questionnaire was then distributed among the employees of Tehran Electricity Company. The suggested network was solved in different modes, and the network with the lowest error was selected and combined with metaheuristic algorithms for better training. Lastly, employees with low efficiency were identified, and several solutions were recommended to improve the Maintenance Sector.
Spatial and temporal trends of soil nutrient dynamics under different agroforestry systems in Gangatic plain
Authors: Sarkar Sudip , Das Dipty Kumar 
Published: February 2023

Abstract

The most crucial factor in crop production is soil fertility; thus, it directly influences food security. Therefore, to ensure food security, soil fertility level needs improvement. Though, poor cultivation practices led to soil infertility across the Gangatic region, making even more need to identify and implement sustainable farming practices. In this light, this experiment was undertaken to study the dynamics of soil nutrients in different agroforestry systems (AFS) as a sustainable farming practice concerning seasonal and depth-wise variations. The experiment was conducted in the Samastipur district of India, which comes under the Gangatic plain. Three AFS, including Kadamb (Anthocephalus cadamba Miq.), Simarauba (Simarouba glauca DC), and Litchi (Litchi chinensis Sonn.) based AFS along with one fallow land were taken under investigation. Soil samples were collected from three depths (0-15cm, 15-30cm and 30-45cm) during four seasons (Summer, Autuam, Rainy and Winter). Data revealed that agroforestry development had significantly increased soil nutrients (11-19%) in all seasons and depths. The month of June reported higher availability of nutrients over December. Soil depth had significant influence on soil nutrient availability, irrespective of treatments. The variation of available nutrients among the soil layer was more in agroforestry systems over fallow land. This study will help the researchers to understand the influence of seasons and depths on the movements and transformation of soil nutrients.
Short communication: Unique metabolic signature of proliferative retinopathy in the tear fluid of diabetic patients with comorbidities – Preliminary data for PPPM validation
Authors: Kropp Martina , De Clerck Eline , Vo Trong-Tin Kevin Steve , Thumann Gabriele , Costigliola Vincenzo , Golubnitschaja Olga 
Published: February 2023

Abstract
Type 2 diabetes (T2DM) defined as the adult-onset type that is primarily not insulin-dependent, comprises over 95% of all diabetes mellitus (DM) cases. According to global records, 537 million adults aged 20-79 years are affected by DM; that means 1 out of 15 persons. This number is projected to grow by 51% by the year 2045. One of the most common complications of T2DM is diabetic retinopathy (DR) with an overall prevalence over 30%. With improved screening, the overall part of patients presenting severe vision loss is declining within the DM cohort. Blindness is closely related to proliferative diabetic retinopathy. However, DR is still the leading cause of preventable blindness in working-age adults and the total number of the DR-related visual impairments is on the rise, due to the growing T2DM population. Moreover, PDR with characteristic systemic attributes including mitochondrial impairment, increased cell death and chronic inflammation,is an independent predictor of the cascading DM-complications such as ischemic stroke. Therefore, early DR is a reliable predictor appearing upstream of this “domino effect”. Global screening, leading to timely identification of DM complications, is insufficiently applied by the currently applied reactive medicine as well as lack of resources in certain parts of the world. A personalised predictive approach and cost-effective targeted prevention called PPPM/3P (predictive, preventive and personalised) medicine could make use of the knowledge, preventing blindness and further severe DM complications. In order to reach this goal, reliable biomarkers are needed that are easy to collect and deliver robust data about different stages of DR.
Impact of weight loss on treatment interruption and unplanned hospital admission in head and neck cancer patients undergoing curative (chemo)-radiotherapy in Hong Kong
Authors: CHOI Ying-Chu , Chan Po-Chung , Cheung Kai-Wai , Huang Jia-Jie , Wong Kwok-Leung , Doescher Johannes , Lam Tai-Chung 
Published: February 2023

Abstract
Purpose:
Malnutrition is of high prevalence in head and neck cancer (HNC) patients with weight loss being one of the major nutrition indicators. The objective of this study is to investigate the impact of weight loss on treatment interruptions and unplanned hospital admissions in HNC patients undergoing radiotherapy with or without chemotherapy.
Methods:
In this retrospective cohort study, consecutive HNC patients who started (chemo)radiotherapy between January 2011 and December 2019 were included. Body weight was measured before, during and after RT treatment. Factors associated with ≥ 10% weight loss and treatment interruption and unplanned admissions were analyzed using multivariate logistic regression.
Results:
A total of 1086 subjects with 747(68.8%) nasopharyngeal carcinoma (NPC) and 339(31.2%) non-NPC patients were included. Prevalence of radiotherapy (RT) delay, chemotherapy as planned and cisplatin dose < 200mg/m2 in patients with ≥ 10% vs < 10% weight loss were 6.2% vs 7.0%(p = 0.668), 29.2% vs 31.7%(p = 0.555), 23.8 vs 17.8%(p = 0.127) in NPC patients, and 42.2% vs 50.5%(p = 0.300), 25.6% vs 32.1%(p = 0.464) and 100.0% vs 81.4%(p = 0.245) in non-NPC patients. Prevalence of unplanned admissions in patients with ≥ 10% vs < 10% weight loss was 51.9% vs 25.3% (p < 0.001) in NPC patients and 68.9% vs 27.0% (p < 0.001) in non-NPC patients.
Conclusion:
In our study, ≥ 10% weight loss was found to be associated with a higher rate of unplanned admissions, but not with RT delay or chemotherapy interruption.
Comparison theorems for second order linear and half-linear difference equations
Authors: Shoukaku Yutaka 
Published: February 2023

Abstract
In this paper, discrete comparison theorems of Sturm's type is developed for a pair of second order linear difference equations. In particular, we present here Sturm-Picone type and Leighton type comparison theorems on second order linear difference equations. Our research is motivated by famous book [Swanson] dealing with a similar problem for second order linear differential equations. Furthermore we extend and investigate the more general half-linear difference equation by referring the famous paper [Jaros and Kusano]. Examples are given to illustrate the relevance of the results.
Cognitive Behavioral Therapy-Based Mobile Application for Non-Patients with Irritable Bowel Syndrome in Japan
Authors: Kobayashi Kana , So Yugan , Yamada Tatsuto , Fujii Yasushi 
Published: February 2023

Abstract
We aimed to develop a Cognitive Behavioral Therapy-based (CBT-based) mobile application and evaluate its effectiveness as a potential solution to the lack of specific treatments for non-patients with irritable bowel syndrome (IBS) in Japan. The participants comprised non-patients with IBS, recruited online and randomly assigned to either the treatment (n = 5) or waitlist control (n = 6) condition. The application was used over two months under a therapist’s guidance. The outcome measures were assessed using the following scales at six time points: Gastrointestinal Symptom Rating Scale (GSRS), Irritable Bowel Syndrome-Quality of Life Questionnaire (IBS-QOL-J), Pain Catastrophizing Scale (PCS-J), Cognitive Scale for Functional Bowel Disorders (CS-FBD), Visceral Sensitivity Index (VSI), and Irritable Bowel Syndrome Behavioral Responses Questionnaire (IBS-BRQ). Group differences were evaluated using mixed-factors analysis of variance. The interaction of intervention condition × time was significant for the CS-FBD, VSI, and IBS-BRQ. However, no statistically significant between-group differences were observed for the GSRS, IBS-QOL-J, and PCS-J scores at different time points. While the application improved symptom-specific cognition and behavior, and gastrointestinal-specific anxiety, it was not effective in improving IBS symptoms and quality of life. There is a need to refine the implementation of behavioral techniques and adjust the pace of application use according to each patient's understanding and symptoms.
Research on Altitude Table Data Visualization and Data Flow Migration Technology Based on Multi-framework Integration
Authors: Zhou Qifan , Guo Ying qing , Zhao Wanli , Wang Kun , Xu Kejie , Tao Xinxin , Dong Yunhui 
Published: February 2023

Abstract
As an important method for the aero-engine performance testing, the data in the process of aero-engine -altitude simulation test is extremely valuable and essential. To display the data more intuitively and to explore its deeper meanings and potential value, the development of the real-time migration and visualization technology of the data flow generated from the aero-engine-altitude simulation test-bed basing on multi-framework integration is proposed. Firstly, with the Mybatis-Plus automatic view layer, data stored in the bottom historical database can be visualized in the browser's table structure space. Then, data flow technology migration, referring to the JDBC interface based on GateWay's current limiting mechanism and integrates multi-thread parallel transport flows using Mybatis' load balancing mechanism. Therefore, the essential information in historical database for subsequent algorithm analysis can be synchronized to local database. Finally, with Vue framework, data flow front-end monitoring interface verifies data visualization, integrity, and effectiveness in real-time.
Assimilation model of Erosion and Soil Moisture Based on Remote sensing for Hydraulic and Hydrologic Integration of Taleghan Watershed
Authors: Ahmadi Hasan , ghermezcheshmeh bagher , Razavi Erfan 
Published: February 2023

Abstract
Data accessibility and the ability to evaluate data and solve hydrological, water and soil problems is considered as a fundamental limitation in the country and has been examined as a challenge in this research. In the first part of this research, the modeling of Taleghan watershed in SWAT and GIS software has been discussed, and according to the dynamics of the sub-basins, they have been investigated separately and in the form of dynamic communication. major parameters such as sedimentation, erosion, soil moisture, the type of formation and soil of the region, as well as the hydrological response of the soil, etc. have been modeled and evaluated. Before calibrating, the basin's balance and, in addition to that, formations, soil, and the influence of soil moisture and Curve number have been investigated. After hydrological cycle investigations, calibration has been done in the form of algorithm SUFI2. The precise delineation of the basin and sub-basin made it possible to show the desired and conceptual communication model with high precision in the integration communication. The erosion potential of the basin was investigated in detail and its integrated map was extracted and descriptive scenarios were proposed for it. The final part of this research focuses on the integration after the calibration of the area where the influence of sensitive parameters was determined and the integration of runoff, erosion and sedimentation, soil moisture, etc. was done. Therefore, the developed model of this research can be used as a practical and promotional model to predict productivity and integration in other susceptible areas with similar climatic characters.
Does digital economy successfully drive down the energy intensity? Low-carbon technology innovation perspective
Authors: Hou Jian , Wang Huiyu , Tian Tian , Zhang Sidan 
Published: February 2023

Abstract
Reducing energy intensity has consistently been advocated by the Chinese government in its effort to achieve the carbon peak targets, especially when the emerging economy grows and technology breakthrough happens frequently. In this study, we systematically evaluate China's digital economy based on regional data experience and construct a nonlinear dynamic threshold model to incorporate a heterogeneous threshold of low-carbon technology innovation into the influential mechanism to figure out whether the digital economy can effectively reduce regional energy intensity. It is found that China's digital economy currently shows a trend of overall upward and local fluctuation, and there is a large “gap” between the rich and the poor. Interestingly, there is a significant heterogeneous threshold effect of low-carbon technology innovation on the role of digital economy development in energy intensity: a low level of green technology innovation is not conducive to promoting the development of digital economy to reduce energy intensity, and when the level of green technology innovation increases and exceeds the "critical value", it effectively enhances the impact of digital economy development to a certain extent, thereby promoting the reduction of energy intensity, that is, there is an inverted U-shaped relationship between the development of digital economy and energy intensity. The research answers the question of how to effectively use low-carbon technology innovation to achieve digital economy development and help reduce regional energy intensity, and provides an effective reference for accelerating the green and high-quality development of the economy.
High salt-induced PSI-supercomplex is associated with high CEF and attenuation of state-transitions
Authors: Kalra Isha , Wang Xin , Zhang Ru , Morgan-Kiss Rachael 
Published: February 2023

Abstract
While PSI-driven cyclic electron flow (CEF) and assembly of thylakoid supercomplexes have been described in model organisms like Chlamydomonas reinhardtii, open questions remain regarding their contributions to survival under long term stress. The Antarctic halophyte, C. priscuii UWO241 (UWO241), possesses constitutive high CEF rates and a stable PSI-supercomplex as a consequence of adaptation to permanent low temperatures and high salinity. To understand whether CEF represents a common strategy in long-term stress acclimation, we compared high salt acclimation in the halotolerant UWO241 with a salt-sensitive model, C. reinhardtii, as well as a moderately halotolerant Antarctic green alga, C. sp. ICE-MDV (ICE-MDV). CEF was activated under high salt and associated with increased non-photochemical quenching in C. reinhardtii and ICE-MDV. Furthermore, high salt acclimated cells of either strain formed a PSI-supercomplex, while state transition capacity was attenuated. How the CEF-associated PSI-supercomplex interferes with state transition response is not yet known. We present a model for interaction between PSI-supercomplex formation, state transitions and the essential role of CEF for survival during long-term exposure to high salt.
Estimating A Model of Inefficient Cooperation and Consumption in Collective Households
Authors: Lewbel Arthur , Pendakur Krishna 
Published: February 2023

Abstract
Lewbel and Pendakur (2021) propose a model of consumption inefficiency in collective households, based on “cooperation factors”. We simplify that model to make it empirically tractable, and apply it to identify and estimate household member resource shares, and to measure the dollar cost of inefficient levels of cooperation. Using data from Bangladesh, we find that increased cooperation among household members yields the equivalent of a 13% gain in total expenditures, with most of the benefit of this gain going towards men.
JEL codes: D13, D11, D12, C31, I32.