bluuebunny/crossref_metadata_2025_split huggingface dataset:
IoT-Based Intelligent Charging System for Kayoola EVs Buses at Kiira Motors Corporation in Uganda
Authors: Ntwali Benjamin , Sinde Ramadhan , Ally Mussa , Naman Godfrey , NTAMBARA Boniface 
Published: February 2024

Abstract
The increasing popularity of Electric Vehicles (EVs) has led to a surge in the need for charging stations in Kayoola EV buses. Most of existing EV charging stations have outdated features which is challenging to be remotely controlled. However, current EV charging systems experience with no remote battery operational charging status, unsafety control if charging station is faulted, and insecure charging RFID card payment. This paper, an IoT-based system was aimed to manage and monitor these EV charging stations. The battery management system (BMS) sends charging voltage and current information to charger via Controller Area Network (CAN) bus. Then, the Raspberry Pi4 receives and decode CAN charging data to be processed, analyzed and transmits to the cloud server. Each charger is equipped with sensors monitoring parameters like charging status, energy consumption, voltage, current, and time. The user can access that decoded charging information via android mobile application and desk remote management system. Additionally, the system server calculates the battery charging levels and commend RFID card transaction payment. The results show that developed IoT-based intelligent charging system provides and outperforms minimum and maximum cell voltages of 2.82V and 4.1V, min. and max. cell temperatures of 37℃ and 40℃ respectively. The charged energy of 10kWh, used energy of 0kWh, charging state indication, low-cell voltage as error state indication, charging price rate of 500Ugx/kWh, and full-latch of 0, pack voltage of 483.9V, pack current of 100.1A, battery health of 97%, battery state of charge (SoC) of 100% and remaining charging time of 38 mins were also detected and remotely monitored. In conclusion, the developed system proves 100% of real-time and remote data access and accuracy, efficiency, security, accessibility, sustainability, safety charging payment, and remote battery status monitoring system of EV charging infrastructure compared to the current charging where it offers only 58.75% of charging rate.
Pulmonary fibrosis in critically ill patients with COVID-19: A multi-center retrospective cohort study in South Korea
Authors: Cho Dae Hong , Chae Ganghee , Joh Joon-Sung , Kim Junghyun , Park Tae Yun , Baek Ae-Rin , Kim Won-Young , Jegal Yang Jin , Chung Chi Ryang , Lee Jinwoo , Park Joo Hun , Lee Jae Wook , Lim Soyeoun , Song Jin Woo 
Published: February 2024

Abstract
Background: Pulmonary fibrosis persists long after recovering from coronavirus disease 2019 (COVID-19) infection, thereby reducing quality of life and lung function. We aimed to evaluate the prevalence and risk factors for pulmonary fibrosis in patients with severe COVID-19 pneumonia requiring mechanical ventilation, a high-risk group for developing pulmonary fibrosis.
Methods: Clinical data and chest computed tomography (CT) scans of patients with severe COVID-19 pneumonia requiring mechanical ventilation were retrospectively collected from nine hospitals in South Korea. Fibrotic-like changes on chest CT were visually assessed.
Results: We included 125 patients with a mean age of 68.5 years, 60.8% men and 7.2% having underlying lung disease. Based on follow-up chest CT (the median interval: 38.0 days, interquartile range: 24.0–68.0 days), 94 (75.2%) patients exhibited fibrotic-like changes, with traction bronchiectasis and/or bronchiolectasis being the most common change (60.8%). Adjusted Cox regression analysis revealed as association between hemoglobin levels ≤9 g/dL and an increased risk of pulmonary fibrosis development (HR: 3.182, 95% Cl: 1.203–8.415, P=0.025). Among all patients, 17.6% died during hospitalization and 71.2% experienced complications, including intubation-related airway injury (12.8%), ventilator-associated pneumonia (44.8%), lung injury (11.2%), and hemodynamic disturbance (33.4%). In-hospital mortality (16.1% vs. 18.1%) and complications (67.7% vs. 72.3%) were similar between patients with and without fibrotic-like changes.
Conclusion: Our study demonstrated that in patients with severe COVID-19 pneumonia requiring mechanical ventilation, chest CT revealed fibrotic-like changes in approximately three-fourths of patients. Low hemoglobin levels might be associated with pulmonary fibrosis in severe COVID-19 pneumonia.
Hybrid and Effective Model for the Prediction of Diabetes
Authors: Tripathy Niva , Pande Sohan Kumar , Das Satyabrata 
Published: February 2024

Abstract
The most widely studied research area in healthcare is healthcare systems using modern integrated computing techniques. A lot of data is generated from innu- merable heterogeneous healthcare sensors, IoT devices, and monitoring devices. Collecting, organizing, understanding, and forecasting patient health is extremely important. In this research paper, a smart healthcare recommendation system, namely, Hybrid and Effective Prediction of Diabetes (HEPD), is proposed. HEPD uses data fusion techniques and machine learning methods to predict and recom- mend treatment for diabetes and other life-threatening diseases more accurately. It is an intelligent recommendation system that is trained to predict diabetes. For in-depth evaluation of this HEPD model, it is simulated and examined on estab- lished heterogeneous datasets. The outcome of the simulations is analogized with the most recent development and existing models. From the comparison results, it is found that the HEPD achieves 91.5% accuracy, which is much higher than the renowned machine learning methods.
Evaluating Three Pakistani Soybean Cultivars for High-Temperature Tolerance
Authors: Nadeem Muhammad , khan Aqsa , Khurshid Haris , Jabeen Zahra , Farrakh Sumaira , Haider Waseem 
Published: February 2024

Abstract
Background Soybean (Glycine max) is oil seed crop and grown world widely, It seedlings might encounter varying temperature conditions in both early and conventional soybean production methods. The suitable optimum temperature for soybean cultivation is 30/22 ºC.
Methods and Results Considering climate temperature changes in the world, a study was conducted to quantify the performance of three major Pakistani soybean cultivars at high temperature (HT; 40/25ºC) during the seedling growth stage. The performance was accessed in term of morphological features, biochemical parameters, antioxidant enzyme activity assays and expression analysis of stress related genes. For all parameters, leaf samples were collected at 32 Days After Sowing (DAS). The results showed that Germination Percentage (GP) was high in NARC-II and RAWAL-I with earlier Days to Flower Initiation (DFI) and Days to Maturity (DM) as compared to SWAT-84. NARC-II showed smaller Plant Height (PH), Number of Branches per Plant (NBP) and Pods per Plant (PP) as compared to other cultivars. Seed Yield, Total Soluble protein (TSP), and Total chlorophyll was recorded high for NARC-II as compared to other cultivars, while carotenoids content was also observed higher in NARC-II as compared to RAWAL-I and SWAT-84.Antioxidant enzymatic activity for POD and SOD activity was observed higher in SWAT-84 among cultivars. Relative expression of peroxidase (GLYMA_19G148800) gene and lipoxygenase (GLYMA_13G239000) indicates that NARC-II has the highest expression followed by RAWAL-I and SWAT-84.
Conclusions This is pilot study to explore tolerance of high temperature among the NARC-II, RAWAL-I and SWAT-84 cultivars.
Spatiotemporal Analysis of Soil Moisture Drought in the Horn of Africa
Authors: Alasow Ahmed Abdiaziz , Hamed Mohammed Magdy , Rady Mohammed , Arab Mohamed Abdillahi , Muhammad Mohd Khairul Idlan , Shahid Shamsuddin 
Published: February 2024

Abstract

Droughts continuously threaten human life, livestock, and agriculture across the Horn of Africa (HOA). As climate change exacerbates drought frequency and severity, accurately quantifying spatiotemporal drought patterns is critical to developing evidence-based policies that mitigate impacts and build resilience among vulnerable communities. This study conducted a spatiotemporal analysis of soil moisture drought over the HOA, utilizing high-resolution ERA5 reanalysis data between 1951 and 2020. The Standardized Precipitation Evapotranspiration Index (SPEI) was calculated at 3-, 6-, 9-, and 12-month timescales to identify historical drought events and assess drought duration and intensity changes over 70 years. Spatial analysis revealed decreasing soil moisture levels across HOA, with the most substantial reductions of 45% occurring in Djibouti and Northern Somalia. Comparisons between the baseline period (1951-1985) and the recent period (1986-2020) showed increasingly negative SPEI intensities, indicating a shift towards drier conditions, especially in Somalia, Kenya, and Ethiopia. The results also pointed to rising frequencies of moderate droughts by around 15% and severe droughts by 5-10% from 1986 to 2020 in the baseline period. The findings can inform policy to improve regional drought monitoring systems and the development of climate-resilient agriculture strategies, water resource management, and disaster risk reduction planning to protect lives and food security.
Comparative analysis of a novel robust Fuzzy control algorithm, MPC and PID controllers for an uncertain two-link planar manipulator robot with external disturbances
Authors: Abadi Ali Soltani Sharif , Hameed Ayesha , Hosseinabadi Pooyan Alinaghi , Ordys Andrew , Adouane Lounis 
Published: February 2024

Abstract
This paper presents a novel robust Fuzzy controller for a planar manipulator robot. Also, the Model Predictive Control (MPC) and PID techniques are used to compare the results with the proposed method. The control system of the manipulator robots must have some special features that guarantee stability, fast tracking, practicability of the control signals, smooth control, etc. A comparative analysis can provide a clearer picture of the control system’s performance. This study presents a comparative analysis between a novel robust Fuzzy technique, MPC and PID controllers for a two-link planar manipulator robot. Simulink/MATLAB is used for simulations of the controllers. The results show that the proposed robust Fuzzy method performs better and is more robust than other methods. The Integral of the Absolute value of the Error (IAE) and Integral of the Time Absolute value of the Error (ITAE) performance indexes are employed for a better and more logical comparison. Moreover, the control methods are compared with the essential control features such as accuracy, fast-tracking, robustness, etc. And in all the features, the proposed Fuzzy method is better than others.
Genetic liability for smoking and risk of hepatocellular carcinoma: a two-sample Mendelian randomization study
Authors: Wang Shu-chao , Tian Nan-nan , Peng Lei 
Published: February 2024

Abstract
Objective: Observational studies have yielded conflicting results on the association of smoking with the risk of hepatocellular carcinoma (HCC). This study used Mendelian randomization (MR) design to estimate the causal effect of smoking on the risk of HCC.
Methods: We used the two-sample MR framework mainly with inverse-variance weighted (IVW) method to estimate the causal effect of genetic liability for smoking on HCC. Complementary sensitivity analyses were conducted to test the robustness of our results. Genome-wide association studies (GWAS) that were based on predominantly European and East Asian ancestry. The sample sizes of the GWAS used in this study ranged from 197,611 to 468,170 participants. This study retrieved and extracted genetic variants associated with smoking and their corresponding summary-level information in HCC from the respective GWAS.
Results: All of the results from IVM, IVW radial, IVW with multiplicative random effects, MR-Egger regression, and the weighted median methods demonstrated that genetically predicted smoking was significantly associated with higher odds of HCC, with odds ratios (ORs) of 2.47 (95%CI, 1.22–5.17; P = 0.017), 2.49 (95%CI, 1.19–4.76; P = 0.008), 2.53 (95%CI, 1.30–4.51; P = 0.005), 3.69 (95%CI, 1.36–6.25; P = 0.035) and 1.93 (95%CI, 1.06–3.94; P = 0.049), respectively.
Conclusions: Our study provided potential evidence between genetically predicted smoking and HCC.
Management of Oronasal Fistula using L-PRF and Palatal Flap due to Residual Cyst in Maxilla: A Case Report
Authors: Fares Raissa Dias , De-Moraes Sylvio Luiz Costa , Silva Jonathan Ribeiro da 
Published: February 2024

Abstract

Objective
This paper aims to present a case report of a female patient who intended for dental implants but was referred to the maxillofacial surgery department presenting a cone beam computed tomography with incidental finding in the anterior part of the maxilla.
Methods
The first surgical procedure consisted of the resection of the lesion associated with bone graft with buccal fat pad flap and posterior histopathological study. After three months the patient developed an oronasal fistula. During the second surgical management, the authors chose platelet concentrates (L-PRF) to fill the bone defects associated with the palatal flap.
Results
After 6 months of follow-up, the patient presented definitive soft tissue healing, no exposure of bone tissue, and the closure of oronasal communication. The new CT scan and panoramic x-ray showed satisfactory bone healing.
Conclusion
The present study demonstrated the association of L-PRF with xenograft and palatal flap can be a viable method for the management of patients with oronasal fistula. This report adheres to the SCARE guidelines for the reporting of surgical cases in medical literature.
IRIME: A Novel Approach to Mitigating Exploitation-Exploration Imbalance in Rime Optimization Algorithm for Feature Selection
Authors: Huang Jinpeng , Chen Yi , Heidari Ali Asghar , Liu Lei , Chen Huiling , Liang Guoxi 
Published: February 2024

Abstract
Rime optimization algorithm (RIME) is an emerging metaheuristic algorithm. However, RIME encounters issues such as an imbalance between exploitation and exploration, susceptibility to local optima, and low convergence accuracy when handling problems. To address these drawbacks, this paper introduces a variant of RIME called IRIME. IRIME integrates the soft besiege (SB) and composite mutation strategy and restart strategy (CMS-RS), aiming to balance exploitation and exploration in RIME, enhance population diversity, improve convergence accuracy, and endow RIME with the capability to escape local optima. To comprehensively validate IRIME's performance, IEEE CEC 2017 benchmark tests were conducted, comparing it against 13 conventional algorithms and 11 advanced algorithms, including excellent algorithms in the CEC competition such as JADE. The results indicate that the performance of IRIME is the best. To validate IRIME's practical applicability, the paper proposes a binary version, bIRIME, applied to feature selection problems. bIRIMR performs well on 12 low-dimensional datasets and 24 high-dimensional datasets. It outperforms other advanced algorithms in terms of the number of feature subsets and classification accuracy. In conclusion, bIRIME performs notably well in feature selection, particularly in high-dimensional datasets.
Comprehensive analysis of Linc01436 for neoadjuvant chemotherapy response and its potential enriched pathways in breast cancer
Authors: Li Ye , Sheng Xiaonan , Dai Huijuan , Wang Yaohui , Zhou Liheng , Yin Wenjin , Lu Jinsong 
Published: February 2024

Abstract
Background
Linc01436 is a novel long non-coding RNA which is associated with tumor proliferation and progression, but its involvement in breast cancer development and neoadjuvant chemotherapy (NAC) response has not been reported. Here, we aimed to explore the association between Linc01436 expression and NAC response as well as their survival outcome in breast cancer patients, and to identify the potential molecular mechanisms of Linc01436 involved in breast cancer.
Materials and Methods
Univariate and multivariate logistic regression, ROC were used to verify the predictive value of Linc01436 expression in pCR after NAC. Kaplan–Meier curve was utilized to examine the prognostic impact of Linc01436. The Kyoto Encyclopedia of Gene and Genome (KEGG) analysis and Gene Set Enrichment Analysis (GSEA) were conducted to determine the biological processes that Linc01436 may participate in. CIBERSORT, EPIC algorithm were utilized to calculate the proportion of immune-infiltrating cells in TME. IPS score and MANTIS Score were used to assess the immunotherapeutic value of Linc01436.
Results
The multivariate analysis showed that Linc01436 could predict lower pCR rate of paclitaxel-based NAC in breast cancer (OR = 0.25, P = 0.015, 95% CI: 0.077–0.725), especially in HR negative subtype (OR = 0.16, P = 0.022, 95% CI: 0.029–0.7). The Kaplan–Meier analysis suggested that high Linc01436 expression is associated with poor prognosis in both Renji cohort (HR = 4.58, P = 0.028, 95% CI: 1.51–14.5 ) and TCGA cohort (HR = 1.56, P = 0.033, 95% CI: 1.01–2.41 ). Then, the KEGG and GSEA analysis indicated that Linc01436 was mainly involved in immune related pathways. Further, bioinformatic analysis about the correlation between Linc01436 expression and tumor microenvironment indicated that Linc01436 expression was inversely related to CD8 + T cell infiltration and positively associated with PD-L1 expression and immunotherapy score.
Conclusions
Our findings indicated that Linc01436 may be a potential inverse predictor for pCR and DFS in breast cancer after NAC, especially for HR negative subgroup. Further, we also shed a broad insight into the molecular signal pathways involved in breast cancer progression and offered an opportunity to optimize the treatment of breast cancer.
Exploring different methods of Exaiptasia pallida infection to follow Vibrio parahaemolyticus dissemination in the whole animal
Authors: Billaud Mélanie , Czerucka Dorota 
Published: February 2024

Abstract
When studying host-pathogen interactions, the method of administration of the pathogen is a crucial parameter to control the injected dose of bacteria and the stress experienced by the animal during manipulation. Here we developed two models of infection (balneation or injection) of Exaiptasia pallida (E. pallida) by Vibrio parahaemolyticus expressing GFP (Vp-GFP). The injection, which provided better control of the bacteria quantity introduced inside the animal, induced a stress response with contraction and rejection of bacteria. We followed Vp-GFP dissemination by confocal microscopy over time at 6, 24 and 30 hours. During the early time of infection, bacteria adhering to the ectoderm were observed in both infection methods. At the latter time of infection Vp-GFP disappeared from ectoderm and appeared in the gastroderm. In case of injection, Vp-GFP were located in the gastroderm after 6 hours, whereas in the balneation case, bacteria reached the gastroderm until 24 hours. In both methods, bacteria disappeared from the ectoderm after 6 hours. In conclusion, by using Vp-GFP, we demonstrated for the first time that we can infect E. pallida and quantified the bacteria in whole animals. We also localized them in the different tissues, especially in mesenterial filaments, which are the main entry route of bacteria independently of the infection method.
The types of images to use in advertising for more emotional activation. A study using neuromarketing
Authors: González-Morales Antonio 
Published: February 2024

Abstract

This article evaluates, using neuromarketing, the arousal of various types of images that could be used in static marketing communication. An experiment was conducted in which 20 images were shown. The galvanic response of the skin, heart rate, and temperature were recorded. The study measured the activations generated by each type of image using the psychophysiological variable that best correlated with arousal, namely temperature. Images of type 1, such as smiling children, butterflies, flowers, and landscapes, were the most relaxing, while images of type 2, such as erotic images and parachuting, generated the highest level of arousal. The second level of arousal is generated by type 3, which are those depicting bodies that have been attacked, buried, disfigured, or shot. The third level of arousal generated is type 4, which are images of an individual who are imprisoned, drunk, beggars, or in a pool in very bad condition.
MANAGEMENT SLANT
● It is essential for marketing and advertising professionals to ensure that the level of emotional activation generated by communication pieces is adequate.
● There are some neuromarketing researches evaluating the arousal of images in advertising, but no one has verified the correlation level between the psychophysiological variable used and the emotional activations. Best psychophysiological variable for measuring the emotional arousal of static advertising through neuromarketing is the temperature, at least better than GSR and HR.
● Type of images that generates the most excitement measured with neuromarketing are the erotic images and extreme sport (parachuting). With the traditional method were the images of shooting, dead and disfigured and bloody people.
Conformational Investigations on Three Large Dinuclear Triple Helicates by Single Crystal X-ray Diffraction
Authors: Howard-Smith Kyle , Wallis Matthew , Flood James , Min Hyunsung , Tadros Joseph , Tian Ruoming , Bhadbhade Mohan , Marjo Chrisopher , Li Feng 
Published: February 2024

Abstract
Three new dinuclear triple helicates were synthesised using a ditpoic semi-rigid pyridylylimine ligand L, separated by a diphenoxy-biphenol spacer providing considerable length to the backbone. L and the new large dinuclear triple helicate complexes [Fe2L3](BF4)4 (1), [Ni2L3](BF4)4 (2) and [Zn2L3](BF4)4 (3) have been characterised in solution and solid state. Single crystal X-ray diffraction was used to investigate overall complex ion shape as the coordination sphere was modulated by metal ion selection. Small differences in complex shape were seen to arise due to subtle distortions in coordination sphere environments. This study sheds light on how the length and twist of dinuclear triple helicates can be tuned by selection of coordinating metal ion.
Charitable Activities and ‘Wellbeing’ in Indigenous Communities
Authors: Devlin Rose Anne , Planatscher Michela 
Published: February 2024

Abstract

Although charities are created expressly to benefit communities, it has proven difficult to capture the extent to which this mission is fulfilled. We tackle this challenge by focusing on charitable services provided to First Nations’ reserves and Inuit communities. Benefits are captured by their impact on a uniformly measured ‘community wellbeing’ (CWB) index, and on a comparable ‘individual wellbeing’ (IWB) index. Geo-coding technology enables the matching of the location of charities, Indigenous communities, and their residents. OLS estimations reveal robustly positive associations between the charitable sector and the CWB and IWB indicators; a Propensity Score Matching approach suggests that the presence of at least one charity is associated with about a 5-point or 7.5% increase in the CWB index. Nuanced evidence of causation is provided by an event-study exercise and the inclusion of community fixed effects. Several robustness tests corroborate the positive association between charities on CWB.
JEL codes: H00, I31, J15, D64, H49