bluuebunny/crossref_metadata_2025 huggingface dataset:
Utilization of electronic medical record system and associated factors among health professionals in public health facilities of Harari Region, Eastern Ethiopia
Authors: Mekonin Gediyon , Gobena Tesfaye , T/Mariyam Zelalem , Hawilte Behaylu , Kenay Abera
Published: July 2023

Background
Electronic medical record is computer-based patient recording system at the facility level and it’s a digital version of a paper chart in a clinical office. Moreover, an electronic record of health-related information, on an individual that can be created, gathered, managed, and consulted by authorized clinicians and staffs within one health care organization.
Objective
- To assess the level of utilization and determinants of electronic medical record use among health professionals working in public health facilities in Harari Regional State, Eastern Ethiopia
Methods
A facility- based cross-sectional study was conducted with 498 randomly selected health professionals at public health facilities of Harari Region. Pre-tested structured questionnaire that has been designed to be filled by the respondent which is used. Data collection facilitator participated in data collection. Data were entered into Epi Data Version 3.1 and exported to STATA version 14.2 for data processing and analysis. Descriptive statistics was used to describe the study variables. Bivariate and multivariate logistic regression analyses were used to identify the association b/n, between the outcome, and independent variables. A p-value < 0.05 at a 95% confidence level were considered as statistically significant.
Results
Of the total 551 approaching health professionals, 498(90.3%) were returned the questionnaire. Out of this, 211(42.3%, 95% CI: 38, 46) were using the electronic medical recording system. Females (AOR = 0.40, 95% CI: .251-.66), Health professionals with good Knowledge and Attitude and those having basic computer course had an association and a statistically significant result with utilization of EMR system ((AOR = 1.71, 95% CI: 1.07, 2.72), (AOR = 2.48, 95% CI: 1.53- 4.00), (AOR = 4.45, 95% CI: 2.17–9.10)) respectively.
Conclusion and Recommendations:
as this study shows, the utilization of electro medical record system was low. Health professionals with basic computer courses, having good knowledge and a good attitude, were found to use an electronic medical record system. Therefore, improving the knowledge and awareness of health professionals is important for scaling up the electronic medical record system used in facilities.
Cross-domain NER in Data-poor Scenarios for Human Mobility Knowledge
Authors: Jiang Yutong , Jin Fusheng , Chen Mengnan , Liu Guoming , Pang He , Yuan Ye
Published: July 2023

In recent years, the exploration of knowledge in large-scale human mobility has gained significant attention. In order to achieve a semantic understanding of human behavior and uncover patterns in large-scale human mobility, Named Entity Recognition (NER) is a crucial technology. The rapid advancements in IoT and CPS technologies have led to the collection of massive human mobility data from various sources. Therefore, there’s a need of Cross-domain NER which can transfer entity information from the source domain to automatically identify and classify entities in different target domain texts. In the situation of data-poor, how could we transfer human mobility knowledge over time and space is particularly significant, therefore this paper proposes an Adaptive TextSequence Enhancement Module (at-SAM) to help the model enhance the association between entities in sentences in data-poor target domains. This paper also proposes a Predicted Label-Guided Dual Sequence Aware Information Module (Dual-SAM) to improve the transferability of label information. Experiments were conducted in domains that contain hidden knowledge about human mobility,the results show that this method can transfer task knowledge between multiple different domains in data-poor scenarios and achieve the best performance to date.
How China Anesthesiologists document and communicate difficult airway management
Authors: Luo Xiang , Yang Dong , Deng Xiao-Ming , Wang Qian-Yu , Du Xi-Yu
Published: July 2023

Background
According to the Chinese Society of Anesthesiology, it is recommended that patients with difficult airways be documented and notified, which will provide healthcare professionals with a direct reference when managing airways. However, compliance with this initiative remains unclear. This study was conducted to investigate the current status and need for difficult airway notification at Plastic Surgery Hospital and to explore the factors contributing to noncompliance.
Methods
Anesthesiologists, surgeons, and patients in Plastic Surgery Hospital were administered separate questionnaires regarding notification of difficult airway management. Participants were surveyed regarding their attitudes and current practices regarding difficult airway notification. In addition, questions were asked regarding the barriers that contribute to noncompliance.
Results
A total of 632 valid responses were obtained and analyzed, giving a response rate of 99.21%. 399 patients (89.46%) felt it was very important for anesthesiologists to inform them about their difficult airway, and 91.03% felt it was very important for them to receive a letter of their airway assessment. However, twenty-two anesthesiologists (64.7%) reported verbally informing less than 50% of patients about their difficult airway after surgery, and only four anesthesiologists informed all patients they encountered. Most surgeons (91.22%) and anesthesiologists (91.18%) believe that it is vital to inform patients verbally, while 114 surgeons (77.03%) and 31 anesthesiologists (91.18%) believe that it is essential to complete a difficult airway notification alert. Among the factors causing noncompliance, 17 (34.69%) believed that absence of mandatory rules, 9 (18.37%) believed that increased workload, and 8 (16.33%) believed that notification methods were lacking.
Conclusions
The compliance to difficult airway notification remains low in Plastic Surgery Hospital despite the high incidence of difficult airways. Although anesthesiologists, surgeons, and patients are strongly in favor of it. Among the barriers to compliance were the absence of a well-developed notification system and a means of notification such as an alert form for difficult airways. This may spur the anesthesiology society to publish the notification system.
Effects of pioglitazone on electrocardiogram parameters and heart rate variability in isoproterenol- induced cardiac ischemia in rat
Authors: Farokhipour Maryam , Dehghanian Amirreza , Fatemikia Hossein , Ketabchi Farzaneh
Published: July 2023

Background
In this study, we aimed to determine whether short-term treatment with PPAR-γ agonist pioglitazone could influence electrocardiogram (ECG) parameters and heart rate variability (HRV) in isoproterenol-induced cardiac ischemia at rest and after phenylephrine injection.
Methods
Male Sprague-Dawley rats were divided into Sham, pioglitazone (PIO, 3 mg/kg, i.p.), isoproterenol-induced cardiac ischemia (ISO, 150 mg/kg, subcutaneously at 24-hour intervals on days 4 and 5), and PIO + ISO groups. Saline (in the Sham and ISO groups) or pioglitazone (in the PIO and PIO + ISO groups) were administered for 5 days. On day 6, tracheostomy and cannulation of the femoral artery and vein were performed under deep anesthesia. Then, blood pressure (BP) and ECG were recorded and HRV analysed.
Results
Baroreflex induced by intravenous injection of phenylephrine (10 µg/0.1 ml) increased BP and decreased heart rate (HR) in all groups. HR, QT interval, and QTc in the ISO group were more than in the Sham group at baseline and in baroreflex. Pioglitazone decreased the mentioned parameters in the PIO + ISO group. HRV analysis showed reductions in parasympathetic components of HRV in the ISO group, whereas pioglitazone corrected it in the PIO + ISO group. Cardiac markers, malondialdehyde, white blood cells, and heart/body weight ratio were more in the ISO group than those in the Sham group. All mentioned parameters were lower in the PIO + ISO group than those in the ISO group.
Conclusion
We indicated pioglitazone improves the electrical conduction of the heart and HRV in cardiac ischemia through modulating the inflammatory reactions.
Performance Verification and Latency Time Evaluation of Hardware Image Processing Module for Appearance Inspection Systems using FPGA
Authors: Yukinobu Hoshino , Shimasaki Masahiro , Namal Rathnayake , Linh Dang Tuan
Published: July 2023

This paper analyzes a hardware-accelerated image processing module for visual inspection systems. These systems are important for maintaining product quality and decreasing manual inspection. The proposed system harnesses FPGA technology to enhance the efficiency of image processing tasks, with a specific focus on filtering and labeling processes. In order to evaluate the performance gains achieved through hardware processing, the latency metric is put to use, which holds significant importance in real-time applications. The FPGA-based hardware processing methods have been shown to be highly effective in enhancing the performance of visual inspection systems. The experimental results prove that these methods successfully reduce latency up to the microsecond level, resulting in remarkable improvements in overall system performance. On average, the FPGA-based solution is demonstrated to be 10-100 times faster than conventional processors. Additionally, a notable advantage of this approach is its ability to synchronize processing with the inspection target flow, leveraging the camera device and sensor timing.
Experimental Investigation on the Side Mode Injection Locking of a Single-loop OEO under RF Signal Injection
Authors: Sarkar Jayjeet , Banerjee Abhijit , Pacheco Gefeson Mendes , Das Nikhil Ranjan
Published: July 2023

This article mainly focuses on the side mode injection locking phenomena when a single-loop optoelectronic oscillator (OEO) is under RF signal injection. The analyses are made regarding lock range, phase noise and locking time. Also, a comparative study has been prepared when the OEO is injection-locked in the first side and the main mode. We show that the lock range is smaller for injection-locked OEO in the first side mode than in the main mode. The phase noise performance of the OEO for both cases is also demonstrated. It is exhibited that the phase noise performance is better in the case of injection-locked OEO at first side mode, particularly in a strong injection regime. The transient behaviour is also approximated by measuring locking time in both cases. The lock range, phase noise and locking time dependency on optical fibre length have also been studied. Finally, we perform experiments to support our analytical findings developed earlier.
Intercropping regulated microbial community structure in rhizosphere soil by altering microbial nutrient limitations: Evidence from proso millet/mung bean intercropping system
Authors: Gong Xiangwei , Wang Xuelian , Li Xiangyu , Sun Sitong , Dang Ke , Feng Baili
Published: July 2023

Aims Soil microbes are important for explaining nutrient cycling and ecosystem functions in the green and sustainable agriculture. However, our understand of the responses of microbial communities to nutrient limitation in the farmland ecosystem remains limited.Methods We investigated rhizosphere soil microbial community structures and metabolic characteristics in proso millet/mung bean intercropping system, and further analyzed the relationship between the microbial communities and nutrient limitation based on the high–throughput sequencing.Results Compared to sole cropping, both the rhizosphere soil of two crops microbial communities were greatly limited by nitrogen (N) under intercropping system via the vector analysis, regardless of proso millet or mung bean. Linear regression analysis of soil nutrients, microbes, and threshold elemental ratio directly verified this phenomenon. Soil microbial community diversity and composition were significantly regulated by intercropping and total carbon:total nitrogen (TC:TN) and β–1,4–glucosidase:(β–1,4–N–acetylglucosaminidase + leucine aminopeptidase) (BG:(NAG + LAP)) was the key factor influencing bacterial and fungal community structure by the redundancy analysis and partial least squares path modelling, respectively. Intercropping altered the soil microbial topological properties of the networks, and the ecological connectivity of bacterial taxa was tighter than those of fungi. The microbial metabolic limitations were strongly related to community compositions, such as Proteobacteria, Actinobacteria for bacteria and Ascomycota for fungi, ultimately revealing that key functions of microbial metabolism in shaping microbial communities.Conclusions Our results highlight that the key roles of microbial nutrient limitation in optimizing community structure and ecological functions and heighten our cognition degree of soil–microbe interactions in the farmland ecosystem.
Current Collectors Corrosion Behaviours and Rechargeability of TiO2 in Aqueous Electrolyte Aluminium-ion Batteries
Authors: Unal Burcu , Sel Ozlem , Demir-Cakan Rezan
Published: July 2023

The effects of current collectors on the battery performance have significant role, especially in aqueous electrolyte Al-ion batteries, as corrosion effects lead to rapid capacity degradation over cycles. To overcome this problem, we present a study investigating the selection of suitable current collectors and their impact on battery performance. Four different current collectors are selected for this purpose: stainless steel (SS), nickel foil (Ni), titanium foil (Ti) and graphite plate (GP). It has been proven by corrosion tests, cyclic voltammetry and charge-discharge studies that GP is the best current collector by minimizing the corrosion effect and H2 evolution reaction (HER). The anatase phase TiO2 used with GP current collector provides a 249 mAh/g initial discharge capacity at a current density of 3A/g, while inferior or no electrochemical activity is observed with Ti, SS, Ni current collectors. The observations here provide insights into the selection of corrosion-resistant current collectors to achieve stable battery performance in the field of aqueous electrolyte Al-ion batteries.
Clinical Study on Low-intensity Ultrasound Stimulated Microbubbles to Enhance Neoadjuvant Chemotherapy in Breast Cancer
Authors: Chen Xiaoqin , Lan Jin , He Lijun , Zhu Qiong , Zhang Jie , Dong Xiaoxiao , Liu Zheng
Published: July 2023

Objective
low-intensity ultrasound stimulated microbubbles (USMB), utilizing microbubble-assisted ultrasound cavitation, has the potential to enhance tumor blood perfusion and improve chemotherapy effectiveness. It has been shown to extend survival in pancreatic cancer patients. This study aims to explore the safety and efficacy of USMB in enhancing neoadjuvant chemotherapy(NAC) for breast cancer.
Methods
Seventeen breast cancer patients were randomly assigned to an experimental group (n = 10) and a control group (n = 7). The experimental group received USMB treatment within 1 hour after each NAC cycle, while the control group underwent ultrasound sham imaging. Adverse events were recorded for both groups. The objective response rate was defined as the percentage of patients who had a best-response rating of complete response (CR) or partial response (PR) confirmed according to Response Evaluation Criteria in Solid Tumors version 1.1 (RECIST 1.1). Tumor perfusion was analyzed through the time-intensity curve (TIC) before and after each USMB treatment, obtaining parameters such as peak enhancement (PE), wash-in area under the curve (WiAUC), wash-out area under the curve (WoAUC), and wash-in and wash-out area under the curve (WiWoAUC). This study was registered with the Chinese Clinical Trial Registry (Registration Number: ChiCTR2200056718).
Results
Three out of 17 patients were lost to follow-up. The comparison of adverse event rates between the two groups showed no statistically significant difference. According to the RECIST 1.1, in the experimental group, one subject achieved CR, five subjects achieved PR, and three subjects had stable disease (SD). In the control group, three subjects achieved PR and two subjects had SD. There was no statistically significant difference in the objective response rate (66.7% vs. 60%, p > 0.99). In the experimental group, the PE, WiAUC, WoAUC, and WiWoAUC of breast cancer showed a significant increase compared to pre-USMB treatment (p = 0.03, p = 0.01, p = 0.03, p < 0.01).
Conclusions
Low-intensity USMB treatment does not increase adverse events to NAC and improves blood perfusion in breast cancer. However, further large-sample, multicenter clinical studies are needed to evaluate the therapeutic efficacy of USMB treatment.
Lung ultrasound score as a predictor of failure to wean COVID-19 patients off mechanical ventilation: a prospective observational study
Authors: Wang Ying , Zhang Fan , Yao Yuan-yuan , Chen Yue-xiu , Wu Chao-min , Wang Rui-yu , Gao Qi , Lv Tao , Xu Guang-xin , Zou Jing-cheng , Yan Min
Published: July 2023

Background
The lung ultrasound score was developed for rapidly assessing the extent of lung ventilation, and it can predict failure to wean various types of patients off mechanical ventilation. Whether it is also effective for COVID-19 patients is unclear.
Methods
This single-center, prospective, observational study was conducted to assess the ability of the 12-region lung ultrasound score to predict failure to wean COVID-19 patients off ventilation. In parallel, we assessed whether right hemidiaphragmatic excursion or previously published predictors of weaning failure can apply to these patients. Predictive ability was assessed in terms of the area under the receiver operating characteristic curve (AUC).
Results
Among the 35 patients in the study, 12 patients (37%) could not be weaned off mechanical ventilation. The lung ultrasound score predicted these failures with an AUC of 0.885 (95% CI 0.770–0.999, p < 0.001), and a threshold score of 10 provided specificity of 72.7% and sensitivity of 92.3%. AUCs were lower for previously published predictors of weaning failure, and right hemidiaphragmatic excursion did not differ significantly between the two groups.
Conclusions
The lung ultrasound score can accurately predict failure to wean critically ill COVID-19 patients off mechanical ventilation, whereas assessment of right hemidiaphragmatic excursion does not appear helpful in this regard.
Trial registration:
https://clinicaltrials.gov/ct2/show/NCT05706441
Fake News Detection Using a Logistic Regression Model and Natural Language Processing Techniques
Authors: Adeyiga Johnson Adeleke , Toriola Philip Gbounmi , Abioye(Ogunbiyi) Temitope Elizabeth , Oluwatosin Adebisi Esther , Arogundade oluwasefunmi 'Tale
Published: July 2023

The proliferation of fake news has become a significant challenge in recent years, impacting democracy, the journalism industry, and people's daily lives. The spread of intentionally misleading or fabricated information has led to a decline in confidence in government institutions and has profound implications for people's daily lives. This study aims to detect false information and real news using logistic regression algorithms and natural language processing techniques, implement the model using Python, and develop a website for news classification. The "Fake News Detection" dataset from Kaggle, consisting of approximately 20,000 news articles labelled as real or fake, was used. Data cleaning was done and feature extraction techniques, including Term Frequency – Inverse Document Frequency (TF-IDF) vectorization, was applied to extract features from the data. The logistic regression model with K-Nearest Neighbour (KNN), Passive Aggressive classifier and Naïve Bayes model were trained on the extracted features and evaluated using various metrics. The system was implemented using Python and Google Collaboratory, with the front-end of the website developed using Hyper Text Markup Language (HTML), Cascading Style Sheets (CSS), and JavaScript. The architecture of the system involves training the model and deploying it using Flask, a lightweight web framework. Evaluation of the classifiers show the following results: Accuracy - 97.90%, 82.92%, 91.32%, 89.71%; Precision - 96.59%, 80.25%, 94.13%, 93.88%; Recall - 99.32%, 94.08%, 90.88%, 89.14%; and F1 score - 97.94%, 86.62, 92.48, 91.45% for logistic regression, KNN, Passive Aggressive and Naïve Bayes classifier respectively. Based on these results, logistic regression outperformed the other three classifiers. This shows that logistic regression model is more effective in fake news detection. The developed system provides a valuable tool in combating fake news and contributes to the on-going research in automatic fake news detection using machine learning.
Group Selection under the Replicator Dynamic
Authors: Lahkar Ratul
Published: July 2023

We consider a society where individuals get divided into different groups, each playing a different strict Nash equilibrium of the same game. Under group selection, a group playing a Nash equilibrium with a higher payoff evolves faster. As individual agents always play a Nash equilibrium, there is no conflict between individual selection and group selection. We define the dynamics of group selection in terms of the replicator dynamic. In the weak form of group selection, the absolute mass of all groups increase but the relative mass of all groups except the one at the Pareto efficient equilibrium go to zero. In the strong form of group selection, even the absolute mass of all groups except the one at the Pareto efficient equilibrium go to zero. We also provide microfoundations to the dynamics of group selection. Finally, we apply the model to the stag hunt game.
JEL Classification: C72; C73.
Effect of dielectric barrier discharge cold plasma on the bio-nanocomposite film and its potential to preserve the quality of strawberry under modified atmosphere packaging
Authors: Rashvand Mahdi , Matera Attilio , Altieri Giuseppe , Genovese Francesco , Nikzadfar Mehrad , Feyissa Aberham Hailu , Renzo Giovanni Carlo
Published: July 2023

The present study aimed to investigate the effect of cold plasma on the developed bio-nanocomposite film. A dielectric barrier discharge system was utilized to generate the cold plasma. The films were treated under three different times (5, 10 and 15 min) and the characteristics of the films were evaluated. Results showed that the mechanical properties (tensile strength and elongation at break), water vapor permeability, oxygen transmission rate, moisture content and water contact angle characteristics were improved by cold plasma treatment. In addition, the cold plasma treatment influence the thermal stability and crystallization of the films. Also, the shelf life of the strawberries which were packed in the treated films under modified atmosphere condition was assessed. The results revealed that the mechanical properties (firmness and Young's modulus), chemical attributes (pH, soluble solid content and total ascorbic acid), physical characteristics (weight loss and color features), microbial activities (bacteria. yeast and mould) of the samples were affected by the treated films. As a result, cold plasma modification can be applied as an effective method to maintain and preservation of fresh fruit.
Selection of representative near-future climate simulations by minimizing bias in average monthly temperature and precipitation
Authors: Khokhlov Valeriy , Tuchkovenko Yurii , Loboda Nataliia
Published: July 2023

The bias in the global and regional climate models significantly complicates their use in impact studies. A significant difference between the observed and model precipitation in the warm months is registered in Odesa for 1970–2005. This difference is probably determined by complex orography and inappropriate parameterization methods for convective processes climate models. In the last fifteen years, the average temperature has increased by about 1°C in winter and by 2°C in summer compared with 1970–2005. Considering decreasing precipitation during summer months, it seems that the climate of Odesa is moving towards the Mediterranean climate – warm to hot, dry summers and mild, moderately wet winters. The approach based on selecting representative simulations with minimum average bias and adjusting the choice to the present-day climate is described and applied for Odesa using data from the RCP8.5 scenario simulations of the EURO-CORDEX project and ERA5-Land reanalysis. The approach can be applied separately for monthly near-surface temperature and total precipitation, as well as jointly for these variables, and provides the satisfactory ability to select models for use then in impact studies. The output variables of simulations selected are close to observed ones in recent years and are well to coincide with the ensemble-mean values in the near future, 2021–2050. On the other hand, the scatter of output variables in the selected simulations adequately describes the uncertainty of the future climate.
Genetic Analysis of Human Parainfluenza Type 2 Virus in Riyadh, Saudi Arabia
Authors: Alsaleh Asma , Aziz Ibrahim , Alkubaisi Noorah , Almajhdi Fahad
Published: July 2023

The extensive mass gathering of pilgrims from all over the world, as well as the constant flow of foreign workers via country entry crossings, raises the likelihood of respiratory virus outbreaks spreading and evolving in Saudi Arabia. Here, we report the sequence and phylogenetic analysis of the human parainfluenza type-2 (HPIV-2) in nasopharyngeal aspirates (NPAs) collected from Riyadh, Saudi Arabia, from 2020/21 and 2021/22 seasons. RNA was extracted from the clinical samples and subjected to RT-PCR analysis for the detection of IAV and IBV. The full-length HN gene of HPIV-2 was amplified and sequenced. Multiple sequence alignments (both nucleotides and deduced amino acids) were aligned using Clustal W, MegAlign program of Lasergene software, and MEGA 7.0. HPIV-2 was found in (4; 2% of 200) NPAs. Sequence and phylogenetic analysis results showed that indicated a genotype shifting from G3 to G4a with 83% sequence homology 62-M786 from Japan, which was prominent throughout the winter seasons of 2008/09. Multiple amino acid sequence alignment revealed 25 sites of possible difference between G3 genotypes and G4a. A total of twenty- two of these locations were shared by the other G4a genotypes, whereas three positions, 67V, 175S, and 377Q, were exclusively shared by G3. Only eight conserved N-glycosylation sites were found at amino acids 6(NLS), 286(NTT), 335(NIT), 388(NNS), 498(NES), 504(NPT), 517(NTT), and 539(NGT) in four Riyadh isolates. Our findings also revealed that the G4a genotype of HPIV-2 predominated in Riyadh during the winter seasons of 2020/21 and 2021/22. Further research with a large sample size covering numerous regions of Saudi Arabia throughout different epidemic seasons is needed to achieve an improved knowledge of HPIV-2 circulation.
Comprehensive analysis of fatty acid metabolism-related genes in prognosis, tumor microenvironment infiltration and core gene identification of bladder cancer
Authors: Wang Haoran , Tang Runhua , Liu Jingchao , Xia Haoran , Liu Ming , Wang Jianlong , Wang Jianye
Published: July 2023

Bladder cancer (BLCA) is the common malignant urinary carcinoma and do not have uniformly poor prognosis. Hence, we focused on the function and prognostic value of fatty acid metabolism-related genes in bladder cancer patients. After obtained the fatty acid metabolism-related genes (FRGs), gene expression and corresponding clinical data were acquired from TCGA and GEO databases. Cox regression analysis and least absolute shrinkage and selection operator (LASSO) regression analysis were employed to establish the risk model to estimate the overall survival of BCLA patients. An eight-gene fatty acid metabolism-related risk signature was constructed to predict the overall survival (OS) of BLCA patients. Kaplan-Meier curves, tumor mutation burden, scatter diagram, ROC curves, nomogram were used to assess prognosis. The immunological features were estimated between different groups. IL6 and COL1A1 were considered to have important role in subgroups. Higher expression of IL6 and COL1A1 are positive correlation with higher grade, higher risk and poor prognosis. In conclusion, this risk model based on 8-FLGs is reliable to predict the prognosis and response to immunotherapy in BLCA patients. IL6 and COL1A1 are closely associated with higher risk score and poorer outcomes. This can provide a novel inspective in BLCA treatment.
Dual-core photonic crystal fiber surface plasmon resonance sensor with high sensitivity and narrow FWHM
Authors: Zhang Zhibing , Li Shuguang , Yin Zhiyong , Ullah Sajid , Cui XingWang , Li Geng , Li Kaifeng , Wang Chun , Liu Yinpeng
Published: July 2023

Surface plasmon resonance (SPR) sensing methods enable highly sensitive, fast response, and label-free analysis of biomolecular interactions. For SPR sensors, sensitivity and full width at half maximum (FWHM) are two incompatible performance parameters. We propose a refractive index (RI) sensor using a dual-core photonic crystal fiber (PCF) and SPR effects to achieve high sensitivity and narrow FWHM simultaneously. The air holes of the sensor appear in a hexagonal arrangement, and polishing technology introduces two polishing planes into the cladding. A gold film is deposited on one side of the polished plane to form a highly sensitive RI sensing channel. Five gold nanowires are deposited on the other side of the polished plane to form a RI sensing channel with a narrow FWHM. We analyzed and optimized its structural parameters using the finite element method and determined the optimal structural parameters. The numerical results demonstrate that the maximum sensitivity of the sensor is 21000 nm/RIU, and a narrowest FWHM of 31 nm. Therefore, measuring the refractive index simultaneously with two sensing channels increases the detection accuracy of the measurement. In addition, the findings further indicate that variations in structural parameters do not significantly impact the sensing performance of the senor, which makes the production of the sensor relatively simple. In conclusion, our work provides a new research method for realizing high sensitivity and narrow FWHM simultaneously.
A Fusion Method Aiming at Environmental Perception of Autonomous Vehicle Based on Visual Scheme
Authors: Tu Gepeng , Wang Xinyu , Xue Qingfeng , Wu Jing
Published: July 2023

The task of environmental perception is an extremely important part of the automatic driving project, and mainstream schemes are divided into visual perception and radar perception. Visual algorithms have advantages in cost and object detection or image segmentation methods are usually used for perception. We adopt computer vision scheme to collect data and establish Transportation of Wuhan China (TOWC) datasets based on Chinese urban situation. After optimizing the selection of anchor boxes, the Yolov4 model is retrained as the object detector, which is combined with Simple Online and Real-time Tracking (SORT) algorithm and Perspective-n-Point (PnP) monocular algorithm to realize the integration of object detection, tracking and ranging. The detection and tracking methods have been evaluated against the Microsoft Common Objects in Context (MSCOCO) datasets and Multiple Object Tracking (MOT) challenge respectively. And the detection performance also has been evaluated again in our TOWC datasets. The evaluation has been conducted in challenging conditions, including occlusion, partial visibility, and under lighting variations with the mean average precision of 97.17% and the real-time speed of 30.2 FPS. The results show that our fusion detection algorithm is not inferior to other most advanced methods on the premise of excellent real-time performance. The developed model is a generic and accurate solution for traffic object detection, tracking and ranging, which can be applied to many other fields, such as automatic driving vehicle, traffic sign recognition, anomaly detection, motion analysis, or any other research areas where the traffic environmental perception is in the center of attention.
Effects of water temparature and welding current of microstructure and mechanical performance of AH36 welded by SMAW and chemichal composition of seawater.
Authors: Gorgun Emre
Published: July 2023

Underwater wet welding (UWW) is applied to repair offshore structures, underwater pipelines, water transport, docks and harbour equipment. In this study, the mechanical and microstructural properties of AH36 low carbon steel were investigated at different welding current strengths and different seawater temperatures using metal arc welding (SMAW), an underwater wet welding method. Changing seawater temperatures and welding current parameters were examined together, so that the change of seasonal variability in welding parameters and chemical structure of seawater was examined. For this purpose, in the first stage, the yield strength value of AH36 was statistically modelled using the central composite design with the response surface method with input parameters of seawater temperature (in the range of 9.7°C-25.3°C) and source current value (in the range of 49A-90A) and the best conditions were found as Optimum Yield stregth 270MPa, 17.5°C seawater temperature and 69.5 A source current value. In the second stage of the study, the data obtained from the optimisation studies were used in the multi-response optimisation model to obtain elemental exchange equations for Cr (R2 = 87.3), Ni (R2 = 64.45) and Mn (R2 = 65.74) ionised in seawater. Accordingly, it was observed that the change in Cr content in seawater is affected by source current intensity, Ni content is affected by seawater temperature and Mn content is affected by current intensity and seawater temperature together. ICPMS was used for ion exchange in seawater, EDS point analysis for chemical composition in AH36 and SEM for microstructure analysis.
Multiphase MoS2 Monolayer: A Promising Anode Material for Mg-Ion Batteries
Authors: Panjulingam Nandhini , Lakshmipathi Senthilkumar
Published: July 2023

Given the potential availability, non-toxicity, and environmental acceptability of alternatives to lithium-ion batteries (LIBs), secondary batteries utilizing magnesium (Mg) ions have garnered significant attention. Numerous recent studies have focused on identifying suitable anode materials for post-lithium-ion batteries, particularly magnesium-ion batteries. In this context, we conducted a theoretical investigation using density functional theory (DFT) and ab initio molecular dynamics (AIMD) simulations to examine the 2D multiphase (1T/2H-MoS2) anode material. Our observations confirmed the efficacy of this material as an anode. The results highlight its exceptional stability, high binding energy, enhanced metallic characteristics following Mg adsorption, theoretical specific capacity, and remarkably low diffusion barriers. Notably, the anode material exhibits an ultralow energy barrier of 0.05 eV, surpassing that of extensively studied 2D materials. By employing a wide range of Mg2+ concentration during the charging process, we achieved a high specific capacity of 1339 mAh g− 1 ions, coupled with an average operating voltage of 0.13 V. These findings provide valuable insights for the experimental design of exceptional anode materials.
Changes in serum oxylipin profile after one anastomosis gastric bypass
Authors: Pakiet Alicja , Łukaszewicz Paulina , Proczko-Stepaniak Monika , Kaska Łukasz , Mika Adriana
Published: July 2023

The bioactive oxylipins are important compounds in the chronic inflammation-associated conditions, such as obesity. Treatment of obesity with bariatric surgery improves metabolic state of the patients, thus, the study of oxylipins can provide insight into how the metabolic states of patients changes after the procedure. We determined the free oxylipins profile in serum of 15 patients that underwent one-anastomosis gastric bypass (OAGB) before the surgery, two weeks and 6–9 months after the surgery. For this purpose, a liquid chromatography-tandem mass spectrometry (LC-MS/MS), with solid-phase extraction (SPE) method was validated for the quantification of 27 oxylipins. The analytical method was characterized by good linearity (regression coefficient > 0.99), detection limits from 2 pg to 394 pg. The mean precision was ~ 101%, accuracy was ~ 12% and extraction efficiency for most analytes ranged between 80–120%. In patients serum samples at 6–9 months the oxylipin profiles differed significantly from other time points, mostly with regards to oxylipins associated with endothelial function. Our study demonstrates the value in oxylipin profiling to monitor the metabolic effects of obesity treatment.
Exact Solution to Bratu Second Order Differential Equation.
Authors: Szewczyk Adam
Published: July 2023

The aim of this paper is to analytically derive the exact solution to general type of Bratu second order differential equation. The method used to obtain this solution is based on substitution and algebra. Furthermore, new additional formulas are derived for existing solutions of Bratu equation found in Polyanin's literature. The results are compared with numerical solutions using Maxima, a computer algebra system program capable of numerical and symbolic computation. In this present study, summary of existing and new solutions with general boundary conditions allows researcher and students select a convenient formula that may provide a valuable information about relationship between terms, variables and coefficients which can be very useful for theoretical physics.
The Full non-linear Vortex Tube-Vorton Method: the pre-stall condition
Authors: Pimentel-Garcia Jesus Carlos
Published: July 2023

The present hybrid vortex tube-vorton method is based entirely on the Full Multi-wake Vortex Lattice Method (FMVLM) concepts, it means, by detaching vorticity, with precise vortex strength and orientation, along all separation lines between each discretized element of a shell-body, including all external edges. Since the Vortex Particle Method (VPM) is unstable by itself due to it does not conserve the total amount of circulation as time evolves (Kelvin’s circulation theorem), a Vortex (regularized) Filament Method (VFM) approach is implemented to obtain advection of vorticity, while the induced velocity field is obtained through its corresponding full vorton cloud. Further, a novel vortex squeezing/stretching scheme for such vortex cylinder-sphere approach is proposed based on variation in time for vortex volumes in order to conserve both circulation and vorticity at each time step (for each detached vortex element), while the viscous effect can be accounted for via the Core Spreading Method (CSM).
The impact of different conservation strategies on the gut microbiome and metabolome of the threatened wildlife: an observation from golden snub-nosed monkey
Authors: Zhang Du
Published: July 2023

Human conservation efforts have pros and cons for endangered animals. Metagenomic analysis of the gut microbiome provides valuable insights and tools for wildlife conservation. However, most studies only focus on changes in microbial species and potential functional genes, leaving out the assembly mechanisms and metabolic activities of wildlife gut microbiome. Herein, we investigated the gut microbiome of golden snub-nosed monkeys under varied conservation strategies (wild, captive, and food provision) using metagenome and metabolome analysis. We found that the conserved monkeys had more non-redundant genes, distinct community diversities, and less stable gut microbiota. Source-tracking analysis showed captive group has fewer wild-sourced microbes than food provision group. The captive group had more habitat specialists with narrower niche breadth compared to the provision/wild counterparts. Besides, captive group's microbiota governed by deterministic processes more than provisioned/wild groups. Procrustes analysis revealed changes in antibiotic resistance genes and virulence factors linked to mobile genetic elements in conserved monkeys. Notably, gut microbiota and metabolomic dataset had significant co-variation and clear separation among the wild, captive and food provision groups. Weighted correlation network analysis identified co-varying modules of microbiota and metabolites with opposite variation trends between the wild and conserved animals, specifically linked to co-metabolism pathways associated with essential amino acids. This study provides new insights into the structural features, assembly mechanisms, community functions, and microbiota-metabolome associations of wildlife gut microbiome under different conservation strategies and have significant implications for advancing sustainable conservation practices.
Export of high-tech goods in the context of innovation transfer for social-economic development: factor analysis
Authors: Habenko Mariia
Published: July 2023

The purpose of the study is to determine factors that have the greatest influence on the growth of export of high-tech goods in the context of innovation transfer for social-economic development. Factor analysis tools, including principal component analysis and the Varimax rotation (orthogonal transformation) method in Statgraphics software, are used to identify the most significant indicators of the impact on export of high-tech goods, as a key determinant characterizing the quality of scientific and educational potential, and to determine the latent signs of their interaction. A modified logistic function is used to normalize input data for 11 investigated factors in a sample of 28 countries. Ten linear combinations of variables are obtained, which explain most of the data variability. The first four components have eigenvalues greater than or equal to 1.0. Together, they account for 88.520% of the variability of the original data. After orthogonal transformation by the Varimax method, the factor load matrix is obtained. The econometric models, which describes the influence of independent indicators on the export of high-tech goods, are represented. Next, the four most influential indicators from the 11 investigated factors are revealed, namely: the country’s research and development expenditure, GDP in current prices, research staff and researchers in the sector of business enterprises, the percentage of ICT staff from total employment. They are taken to develop multiple linear regression models, which describes the influence of independent indicators on the effective export of high-tech goods. The quality results of the factor analysis are confirmed using the Kaiser-Meier-Olkin test and the Bartlett test. Regression analysis with strict screening of non-significant variables using the Backward Stepwise Selection tool confirms the significance of the indicator of scientific research personnel and researchers in the sector of business enterprises, which has the greatest impact on the export of high-tech goods. A pair regression model is obtained, and it is confirmed that increase of research staff and researchers in the sector of business enterprises by 1% causes increase of export of high-tech goods in average by 0,73%.
12 hetes edzésprogram hatékonyságának vizsgálata a menopauza éveiben jelentkező tünetek enyhítésére
Authors: Szalai Hajnalka , Kneffel Zsuzsanna
Published: July 2023

Menopauza idején a nőknek számos negatív változással kell szembenézniük. A koruknak megfelelő, jól felépített, hetente több alkalommal végzet edzések késleltethetik, enyhíthetik ezeket a tüneteket és sokat tehetnek a csontritkulás, izomvesztés- és az elhízás ellen, de a mentális jólétre is pozitívan hathat. Vizsgálatunknak kettős célja volt speciálisan erre a korosztályra kialakított individualizált mozgásprogram hatékonyságának vizsgálata élettani és pszichológiai szempontból, valamint felmérni a programban tartás lehetőségét és a folytatás iránt igényt. A vizsgálatok során 19 fő adatait értékeltük. Az edzések jelenlét és online módon tartottuk. Szignifikánsan jobb értékeket látunk a mozgásprogram végén az összes mért fittségi mutatóban (hajlékonyság, kézi szorítóerő, 2 perces lépés teszt), valamint az önértékelési kérdésekre adott válaszok 50 %-nál. A résztvevők elégedettsége és a programban elért eredmények is alátámasztják, hogy szükség van a menopauza idején a rendszeres mozgásra. Érdemes lenne ezt a mozgásprogramot szélesebb körben bemutatni és elérhetővé tenni a menopauza korba érő nők részére.
Review of scientific literature on BPM concept in social sciences
Authors: Koblianska Inna , Varakin Dmytro , Pihul Oleh , Somushkin Volodymyr , Glukh Vadym
Published: July 2023

The business process management (BPM) approach enhances organizational competitiveness and facilitates digital business transformations. Successful implementation of BPM necessitates a comprehensive understanding of its conceptual foundations and developmental trajectory. This study aims to investigate BPM studies in social sciences, unraveling the evolution and main pillars of the BPM concept. The research methodology comprises a bibliometric analysis of 95 articles indexed in the Web of Science Core Collection from 1997 to 2023 using the Biblioshiny App, followed by a narrative literature review of the most highly cited publications.The results unveil a notable shift in BPM research to information technologies, reflecting an interdisciplinary nature of the BPM concept (going beyond management itself). However, the analysis indicates that BPM research in social sciences tends to be specialized and localized, characterized by limited collaboration among scholars, research teams, institutions, and countries. The study identifies a diverse range of relevant research topics encompassing the maturity concept, business process, process orientation, process performance, success factors, and data and knowledge management. Process modeling and improvement emerge as central but underexplored areas, while strategic management, complexity theory, and organizational processes display declining thematic trends. The most frequently cited research papers primarily focus on enriching BPM practices through integrating digital tools and innovations, emphasizing the role of organizational culture in facilitating BPM implementation and investigating the relationship between BPM and supply chain integration and performance.
AcknowledgmentThis study is funded by a grant, “Restructuring of the national economy in the direction of digital transformations for sustainable development” (№0122U001232) (Inna Koblianska’s contribution).
Lego-based Game as a Way to Improve Student’s Physics Education
Authors: Saptaputra Emannuel , Dirgantoro Bayu , Andrew Sebastian
Published: July 2023

During the pandemic, most students are having difficulties interacting with one another. Despite being under quarantine for more than two years due to the global pandemic, remote learning has not been an efficient way to continue education. Most of them are struggling with specific subjects during online classes. Furthermore, students have trouble in all their classes, and Physics is the most difficult subject, according to news reports and statistics on education. The results of all the studies and interviews with the qualitative respondents indicate that educational games might improve students' academic performance. As a result, puzzle-game physics was developed to help students.