bluuebunny/crossref_metadata_2025 huggingface dataset:
Esthetic Perception of Different Clinical Situations of Maxillary Lateral Incisor Agenesis According to Populations with Dental and Non-Dental Backgrounds: A Systematic Review and Meta-Analysis
Authors: Calheiros-Lobo Maria João , Calheiros-Lobo Mafalda , Pinho Teresa
Published: April 2023

Treatment of unilateral or bilateral maxillary lateral incisor agenesis is challenging, time-consuming, expensive, and requires careful treatment planning, predictability, and esthetics. This review aimed to identify differences in esthetic perception among orthodontists, general dentists, differentiated dentists, and laypersons, which may interfere with treatment options. EBSCO, PubMed, ScienceDirect, Cochrane Library databases, and Google Scholar were searched using keyword pairing and a Boolean expression, “(congenitally missing OR agenesis OR hypodontia) AND (maxillary lateral incisors) AND (esthetic perception OR smile) AND (laypersons OR dental professional OR general dentist OR orthodontists).” Reviews and case studies were excluded. A total of 13 studies were selected for qualitative analysis (adapted ROBINS-I) and 11 were selected for meta-analysis (p < 0.05) after being sub-grouped into “Opening vs. Closure” and “No remodeling vs. Dental remodeling vs. Dental and gingival remodeling” groups. A meta-analysis evaluated the magnitude of the difference between groups based on differences in means and effect sizes (α = 0.05; 95% CI; Z-value 1.96), revealing that the esthetic perception of maxillary lateral incisor agenesis treatment remains controversial even among professionals. Gingival remodeling was not valued compared to isolated dental remodeling. Studies lack rigorously comparable methodologies. Discussion with the patient is pertinent in doubtful situations, as the best treatment option remains unclear, and overtreatment should be avoided.
Air Combat Intention Recognition with Incomplete Information Based on Decision Tree and GRU Network
Authors: Xia Jingyang , Chen Mengqi , Fang Weiguo
Published: April 2023

Battlefield information is generally incomplete, uncertain, or deceptive. To realize enemy intention recognition in an uncertain and incomplete air combat information environment, a novel intention recognition method is proposed. After repairing the missing state data of an enemy fighter, the gated recurrent unit (GRU) network, supplemented by the highest frequency method (HFM), is used to predict the future state of enemy fighter. An intention decision tree is constructed to extract the intention classification rules from the incomplete a priori knowledge, where the decision support degree of attributes is introduced to determine the node-splitting sequence according to the information entropy of partitioning (IEP). Subsequently, the enemy fighter intention is recognized based on the established intention decision tree and the predicted state data. Furthermore, a target maneuver tendency function is proposed to screen out the possible deceptive attack intention. The one-to-one air combat simulation shows that the proposed method has advantages in both accuracy and efficiency of state prediction and intention recognition, and is suitable for enemy fighter intention recognition in small air combat situations.
Research on Solidity of Horizontal-Axis Tidal Current Turbine
Authors: Wang Xiancheng , Li Hao , Chen Junhua , Jiang Chuhua , Bao Lingjie
Published: April 2023

In this paper, the blade solidity of the tidal current turbine was investigated. Based on the blade element momentum theory, different design flow velocities were selected to design two blade types with different solidities. The geometric parameters of the blade were calculated using MATLAB programming, and the performance of two blades was compared in terms of the start-up flow rate, power generation and thrust by test experiment, which showed that the blade with higher solidity has better start-up performance and higher energy capture efficiency at low flow rates. The performance is better than that of the blade with low solidity, but due to the high solidity, the thrust is also high, which should be taken into account when installing the turbine.
Small Modular Reactor Deployment and Obstacles to Be Overcome
Authors: Shobeiri Elaheh , Genco Filippo , Hoornweg Daniel , Tokuhiro Akira
Published: April 2023

To meet climate policy goals, it will be necessary to deploy a series of low-carbon energy technologies, including nuclear power. The small modular reactor (SMR) can potentially support climate change mitigation and energy security issues. Small modular reactors (SMRs) are gaining popularity; however, one crucial debate is whether SMRs can compete economically with conventional nuclear reactors or not. From a commercial point of view, SMRs will be able to provide process heat in various industrial applications, replace older nuclear, natural gas, and coal power facilities, and serve smaller energy markets with less established infrastructure. Realizing these advantages would rely heavily on the near-term quick up-scaling of SMRs; this paper, then, examines and identifies some of the most hindering constraints and barriers for the quick deployment of SMR such as the technology choice, licensing, economy of scale and financing, public acceptance, supply chain, and proliferation. A clear identification of the evident and more hidden bottlenecks preventing a quick deployment is made putting in evidence areas in need of much deeper analysis than the one conducted by the SMR community so far.
Low Carbon Economic Dispatch of Integrated Energy System Considering Power-to-Gas Heat Recovery and Carbon Capture
Authors: Chen Wenjin , Zhang Jun , Li Feng , Zhang Ruoyi , Qi Sennan , Li Guoqing , Wang Chong
Published: April 2023

Carbon capture and storage (CCS) is an effective means to achieve the goals of carbon peaking and carbon neutrality. To improve the operating economics and low-carbon emission of an integrated energy system, the strong exothermic property of power-to-gas is utilized for heat recovery and injection into the heat network. This expands the adjustable range of electric output of combined heat and power (CHP) units which will improve wind power accommodation. The CO2 produced by the coal-fired unit is captured using post-combustion carbon capture technology, and then stored and used to manufacture methane, in order to realize the electric–gas–heat integrated energy system coupled with power-to-gas. Based on the ladder-type carbon trading mechanism, a low-carbon economic dispatch model of integrated energy system is proposed, which considers the incorporation of power-to-gas heat recovery and carbon capture and storage. The objective function is to minimize the total operation cost of the system. The model is simulated in the revised IEEE 39-bus power network, Belgium 20-node gas network and 6-node heat network by CPLEX solver and simulation results verify the effectiveness of the proposed model.
Modeling and Control of Modular Multilevel Matrix Converter for Low-Frequency AC Transmission
Authors: Zhang Zheren , Jin Yanqiu , Xu Zheng
Published: April 2023

The modular multilevel matrix converter (M3C) is the core component in low-frequency AC (LFAC) transmission, which is a competitive scheme for offshore wind power integration. In this paper, the M3C control strategy with the reduced switching frequency SM voltage balancing method is proposed. First, based on the conventional αβ0 and dq transformations, the M3C mathematical model is derived. Then, the dual-loop control structure with outer loop and inner loop controllers commonly used in voltage source converters is applied to the M3C. The inner loop controller consists of the current tracking controller in the dq reference frame and the circulating current suppressing controller in the αβ0 reference frame; the outer loop controller is proposed for the offshore wind farm LFAC integration scenario. Additionally, according to the operating characteristics of full-bridge sub-modules (FBSMs), three characteristic variables are defined and a reduced switching frequency SM voltage balancing method based on the nearest level control (NLC) is proposed. Finally, time-domain simulations in PSCAD/EMTDC demonstrate the feasibility of the proposed control strategy.
Integration of PV Sources in Prosumer Installations Eliminating Their Negative Impact on the Supplying Grid and Optimizing the Microgrid Operation
Authors: Mieński Rozmysław , Wasiak Irena , Kelm Paweł
Published: April 2023

This paper concerns the mitigation of voltage disturbances deteriorating power quality and disrupting the operation of LV distribution grids due to the high penetration of PV energy sources in prosumer installations. A novel control strategy for 3-phase 4-wire PV inverters is proposed, which ensures the transmission of PV active power and simultaneous compensation of load unbalance and reactive power, making the prosumer installation balanced and purely active. It results in the balance of phase voltages and the mitigation of their variability. Unlike other methods used for voltage regulation in LV grids, the proposed solution contributes to the reduction in losses, is simple, and does not require additional costs. In the paper, a control algorithm for the PV inverter is described. Its effectiveness was tested by simulation using a model of the real LV distribution grid developed in the PSCAD/EMTDC program. The results of the simulations are presented and evaluated.
Thermal Runaway Vent Gases from High-Capacity Energy Storage LiFePO4 Lithium Iron
Authors: Qian Feng , Wang Hewu , Li Minghai , Li Cheng , Shen Hengjie , Wang Juan , Li Yalun , Ouyang Minggao
Published: April 2023

Lithium batteries are being utilized more widely, increasing the focus on their thermal safety, which is primarily brought on by their thermal runaway. This paper’s focus is the energy storage power station’s 50 Ah lithium iron phosphate battery. An in situ eruption study was conducted in an inert environment, while a thermal runaway experiment was conducted utilizing sealed pressure containers and an external heating triggering mechanism. Both the amount of gas release and the battery’s maximum temperature were discovered. Using gas chromatography, the gas emission from the battery was examined. Its principal constituents included CO, H2, CO2, CH4, C2H4, and so on. Moreover, the experiment discovered a second eruption of lithium iron phosphate, and the stage of its eruption was separated by the pressure signal of the sealed experimental chamber, giving a theoretical foundation and technological backing for the thermal catastrophe safety of lithium batteries.
Knowledge Discovery to Support WTI Crude Oil Price Risk Management
Authors: Puka Radosław , Łamasz Bartosz , Skalna Iwona , Basiura Beata , Duda Jerzy
Published: April 2023

The high volatility of commodity prices and various problems that the energy sector has to deal with in the era of COVID-19 have significantly increased the risk of oil price changes. These changes are of the main concern of companies for which oil is the main input in the production process, and therefore oil price determines the production costs. The main goal of this paper is to discover decision rules for a buyer of American WTI (West Texas Intermediate) crude oil call options. The presented research uses factors characterizing the option price, such as implied volatility and option sensitivity factors (delta, gamma, vega, and theta, known as “Greeks”). The performed analysis covers the years 2008–2022 and options with an exercise period up to three months. The decision rules are discovered using association analysis and are evaluated in terms of the three investment efficiency indicators: total payoff, average payoff, and return on investment. The results show the existence of certain ranges of the analyzed parameters for which the mentioned efficiency indicators reached particularly high values. The relationships discovered and recorded in the form of decision rules can be effectively used or adapted by practitioners to support their decisions in oil price risk management.
A Hybrid Deep Reinforcement Learning and Optimal Control Architecture for Autonomous Highway Driving
Authors: Albarella Nicola , Lui Dario , Petrillo Alberto , Santini Stefania
Published: April 2023

Autonomous vehicles in highway driving scenarios are expected to become a reality in the next few years. Decision-making and motion planning algorithms, which allow autonomous vehicles to predict and tackle unpredictable road traffic situations, play a crucial role. Indeed, finding the optimal driving decision in all the different driving scenarios is a challenging task due to the large and complex variability of highway traffic scenarios. In this context, the aim of this work is to design an effective hybrid two-layer path planning architecture that, by exploiting the powerful tools offered by the emerging Deep Reinforcement Learning (DRL) in combination with model-based approaches, lets the autonomous vehicles properly behave in different highway traffic conditions and, accordingly, to determine the lateral and longitudinal control commands. Specifically, the DRL-based high-level planner is responsible for training the vehicle to choose tactical behaviors according to the surrounding environment, while the low-level control converts these choices into the lateral and longitudinal vehicle control actions to be imposed through an optimization problem based on Nonlinear Model Predictive Control (NMPC) approach, thus enforcing continuous constraints. The effectiveness of the proposed hierarchical architecture is hence evaluated via an integrated vehicular platform that combines the MATLAB environment with the SUMO (Simulation of Urban MObility) traffic simulator. The exhaustive simulation analysis, carried out on different non-trivial highway traffic scenarios, confirms the capability of the proposed strategy in driving the autonomous vehicles in different traffic scenarios.
Review on Self-Decoupling Topology of Bearingless Switched Reluctance Motor
Authors: Xiang Qianwen , Ou Yu , Peng Zhende , Sun Yukun
Published: April 2023

Bearingless switched reluctance motor (BSRM) adopts a doubly salient structure without windings on the rotor. BSRMs have the advantages of high rate of fault tolerance and simple structure, high power, super high speed and strong adaptability. They have broad application prospects in aerospace, flywheel energy storage, new energy and biomedical fields. Firstly, the suspension operation mechanism of a conventional double winding BSRM is described in this paper. The coupling between torque and suspension force is analyzed with a finite element method. On this basis, from the perspective of magnetic circuit optimization of the torque system and suspension system, the magnetic circuit design, decoupling mechanism and performance characteristics of self-decoupled BSRMs with different topological structures are described centering on the self-decoupled topology form of the BSRM. Finally, the study and development of BSRMs in the future are prospected based on the research status.
Dual Sagnac Interferometer Distributed Optical Fiber Localization Method Based on Hilbert–Huang Transform
Authors: Liu Zhiheng , Wang Yongqing , Cheng Jiuxi , Han Peijie , Liu Zhibin , Zhang Zhaoyan , Li Xiaoguang , Yao Jianquan
Published: April 2023

In order to solve the problem that the dual Mach Zehnder (M-Z) interferometer system is easily affected by external environmental noise, a data signal-processing scheme based on Hilbert–Huang transform (HHT) is proposed to achieve high-precision location with distributed optical fibers. The polarization compensation module has a built-in dual Sagnac interferometer system which is used to stabilize the polarization state of the Sagnac interferometer. The eigenmode function is obtained by empirical mode decomposition of the received two optical signals, and then the Hilbert spectrum is obtained by superimposing the Hilbert transform, so that the high-similarity curve caused by the vibration signal can be clearly and intuitively extracted. The optical signal information can be calculated based on the cross-correlation and delay estimation algorithm to accurately obtain the vibration position information. The experimental results show that the positioning accuracy can reach ±11 m, with a sensing fiber length of 15 km and a sampling rate of 10 MHz. It is proven that the distributed optical fiber sensing technology based on the dual Sagnac interferometer system has high practical application value.
Oleaginous Red Yeasts: Concomitant Producers of Triacylglycerides and Carotenoids
Authors: Fakankun Irene , Levin David B.
Published: April 2023

Oleaginous red yeast species are colourful (usually having orange-pink-red hues) single cell microorganisms capable of producing valuable bioproducts including triacylglycerides (TAGs) for biodiesel and carotenoids for nutraceuticals. The name “oleaginous yeasts” is conferred based on their ability to synthesize and accumulate TAGs to over 20% of their dry cell weight. Their colours are indicative of the presence of the major carotenoids present in them.
A Comparison of the International Competitiveness of Forest Products in Top Exporting Countries Using the Deviation Maximization Method with Increasing Uncertainty in Trading
Authors: Jiang Bo , Dai Yongwu
Published: April 2023

Increased uncertainty in the trade environment has become a reality. However, so far, there is no well-established indicator system to quantify the international competitiveness of forest products in the context of increased uncertainty in the trade environment. Based on expanding the concept of international competitiveness, we constructed an evaluation indicator system of international competitiveness including market performance and competitive advantage, which highlighted market stability and market sustainability indicators. We obtained a comprehensive international competitiveness index of the forest products by Deviation Maximization Method. This study aims to compare and evaluate the international competitiveness of forest products in the top 10 exporting countries using a comprehensive international competitiveness index. The results showed that it is more accurate and comprehensive to use the comprehensive international competitiveness index to evaluate the international competitiveness of forest products, compared to using only a single index. Additionally, the changes to the composite index of international competitiveness went hand-in-hand with the uncertainties the observed countries face, indicating that the indicator system is applicable to the measurement of international competitiveness in an uncertain environment. Large differences exist in the level of international competitiveness of forest products among observed countries. German paper products and wood chips, Chinese wood furniture, wood-based panels and wood products, U.S. logs and wood pulp, and Canadian sawn wood were the most competitive. On the whole, China, Germany and Italy have the highest level of overall international competitiveness in forest products, with Brazil and Poland showing the most significant increases.
Distribution of Plant Hormones and Their Precursors in Cambial Region Tissues of Quercus myrsinifolia and Castanopsis cuspidata var.sieboldii after Bending Stems or Applying Ethylene precursor
Authors: Kijidani Yoshio , Tsuyama Taku , Tokumoto Yuji
Published: April 2023

The role of plant hormones in tension wood (TW) formation has been studied but is still unclear. IAA, ABA, ACC, tZ, tZR, iP, and iPR in cambial region tissues were identified and quantified by liquid chromatography/mass spectrometry (LC/MS). We examined the distribution of plant hormones and their precursors in the stems of Quercus myrsinifolia Blume and Castanopsis cuspidata var.sieboldii Nakai after bending the stems or applying an ethylene precursor (ACC). After 3 weeks of bending, though not after 1 week of bending, the auxin (IAA) and abscisic acid (ABA) amounts were larger on the TW side than on the opposite wood (OW) side and in upright trees. After 2 weeks of bending, the peak concentrations of IAA in cambium on the TW side were obviously higher than those on the OW side. After 1 week of bending, the ACC amounts on both sides were larger than in upright trees, but after 3 weeks of bending, they were smaller than in upright trees. Applied ACC did not enhance TW formation but induced axical parenchyma and phloem formation in C. cuspidata var.sieboldii. These results indicated that the distribution patterns of IAA and ABA might have important roles in TW formation in these two species. The role of ACC might be limited in the early stages of TW formation.
Challenges of Retrieving LULC Information in Rural-Forest Mosaic Landscapes Using Random Forest Technique
Authors: Lin Chinsu , Doyog Nova D.
Published: April 2023

Land use and land cover (LULC) information plays a crucial role in determining the trend of the global carbon cycle in various fields, such as urban land planning, agriculture, rural management, and sustainable development, and serves as an up-to-date indicator of forest changes. Accurate and reliable LULC information is needed to address the detailed changes in conservation-based and development-based classes. This study integrates Sentinel-2 multispectral surface reflectance and vegetation indices, and lidar-based canopy height and slope to generate a random forest model for 3-level LULC classification. The challenges for LULC classification by RF approach are discussed by comparing it with the SVM model. To summarize, the RF model achieved an overall accuracy (OA) of 0.79 and a macro F1-score of 0.72 for the Level-III classification. In contrast, the SVM model outperformed the RF model by 0.04 and 0.09 in OA and macro F1-score, respectively. The accuracy difference increased to 0.89 vs. 0.96 for OA and 0.79 vs. 0.91 for macro F1-score for the Level-I classification. The mapping reliability of the RF model for different classes with nearly identical features was challenging with regard to precision and recall measures which are both inconsistent in the RF model. Therefore, further research is needed to close the knowledge gap associated with reliable and high thematic LULC mapping using the RF classifier.
Deliberations of Forestry Workers on Current Challenges and Future Perspectives on Their Profession—A Case Study from Bosnia and Herzegovina
Authors: Šporčić Mario , Landekić Matija , Šušnjar Marijan , Pandur Zdravko , Bačić Marin , Mijoč David
Published: April 2023

Professionally trained, motivated, and responsible forestry workers are a fundamental prerequisite of successful forest production and an integral part of the modern, generally accepted paradigm of sustainable forest management. However, the forestry sector today is increasingly facing the problem of a shortage of forestry workers and the challenge of obtaining a qualified and sustainable workforce. This paper, therefore, presents the reflections of forestry workers on the challenges and future perspectives on their profession and forest work. The findings of the examination of forestry workers in Bosnia and Herzegovina include some general characteristics of forest work and indicators of the state and position of forestry workers (socio-demographic characteristics, attitudes toward work, profession, etc.). Specially addressed are some problems and challenges faced by the forestry sector in obtaining and recruiting the necessary workforce—the severity of the forestry worker shortage, the main causes and reasons for the lack of workers, factors for stronger recruitment and retention of workers, work commitment, sustainability of the workforce, future perspectives on forestry work, etc. The differences between workers employed in public and private forestry companies were examined. The survey included 268 respondents and was carried out in the second half of 2021. The purpose of the work was in sensibilizing the profession and the public to the issues of the workforce in forestry, its position, and reflections, and in providing the basis that can be an important contribution toward improving the condition and sustainability of the forestry workforce.
Molecular Phylogeny, Taxonomy and Distribution Patterns of Trichomycterine Catfishes in the Middle Rio Grande Drainage, South-Eastern Brazil (Siluriformes: Trichomycteridae)
Authors: Costa Wilson J. E. M. , Azevedo-Santos Valter M. , Mattos José Leonardo O. , Katz Axel M.
Published: April 2023

The Rio Grande drainage plays a key role in supplying water and electricity to large urban centres, but some components of its rich ichthyofauna are still poorly known. Based on our field inventories in the middle section of the drainage, we recognised 10 trichomycterine endemic species, of which 6 species are new and described herein. A molecular analysis (2600 bp for 43 taxa) indicated that the species of both subgenera do not form monophyletic groups. One species of the subgenus Cryptocambeva is closely related to species from the inner Brazilian Plateau, whereas other species of this subgenus are closely related to species endemic to smaller coastal basins. The species of the subgenus Paracambeva belong to different lineages of a clade endemic to the Rio Grande drainage. These species are diagnosed by the characters of their external morphology and osteology. A key to species identification is provided. The species distribution patterns support delimitation of three areas of endemism, which may have a relevant role for proposals of conservation strategies: the Uberaba, the São João-Sapucaí, and the Tamborete areas. The last one, a small area confined between the Serra da Canastra and the Rio Grande at the Furnas dam, is particularly important for sheltering three endemic trichomycterines and two loricariid catfishes.
Influences of Spices on the Flavor of Meat Analogs and Their Potential Pathways
Authors: Yuan Jingyao , Qin Fang , He Zhiyong , Zeng Maomao , Wang Zhaojun , Chen Jie
Published: April 2023

This study evaluated the correlation between the sensory characteristics and spices of 50 commercial meat analogs and selected 4 spices to improve the flavor characteristics of soy protein concentrate (SPC) extrudates. Volatile compounds in extrudates and commercial meat analogs were investigated using headspace solid-phase microextraction and gas chromatography–mass spectrometry. The total concentrations of off-flavor volatile compounds in commercial products decreased with an increasing degree of processing. Furthermore, after adding spices during extrusion, the concentrations of volatile compounds such as aldehydes, alcohols, and furans related to thermal treatment decreased by approximately 5–39%, 5–15%, and 11–56%, respectively. Among them, compounds such as nonanal, 2-pentlyufuran, and 1-octen-3-ol, typical off-flavors in soy-based food, decreased by 8–42%, 11–55%, 2–52%, respectively. The correlation analysis between the antioxidative abilities of spices and volatile compounds showed that the contents of total phenolics were negatively correlated with the contents of ketones and alcohols in extrudates (p < 0.001). Moreover, the aroma-active compounds in extrudates were changed. More pleasant compounds, including alkanes and olefins, were observed by adding different spices as well. Especially in black pepper treated extrudates, the OAV value of off-flavor volatile compounds such as hexanal, octanal, 2-pentlyfuran decreased. In conclusion, the addition of spices can reduce off-flavor compounds related to thermal reactions, such as oxidation and the Maillard reaction, and impart newly pleasant flavors to extrudates during the extrusion of SPC. It is important to explore new methods that can be used to improve the flavor of extrudates so that consumers’ preferences of meat analog products can be improved.
Effects of Culinary Procedures on Concentrations and Bioaccessibility of Cu, Zn, and As in Different Food Ingredients
Authors: Zhang Canchuan , Miao Xi , Du Sen , Zhang Ting , Chen Lizhao , Liu Yang , Zhang Li
Published: April 2023

Although cooked diets are the primary sources for humans to absorb trace elements, there is limited data available on the concentrations and bioaccessibility of trace elements in cooked food ingredients. This work aims to evaluate the effects of culinary procedures on the concentrations and bioaccessibility of trace elements in common food ingredients. Twelve food species from the local market were treated with four culinary procedures (boiling, steaming, baking, and frying), then the bioaccessibility of copper (Cu), zinc (Zn), and arsenic (As) were evaluated using the in vitro digestion method. The subcellular distribution of these elements was also determined using the sequential fractionation method. The results show that culinary procedures decreased the retention rate of As during cooking (100% for raw and 65–89% for cooked ingredients) and the bioaccessibility of Cu and Zn during digestion (nearly 75% for raw and 49–65% for cooked ingredients), resulting in a reduction of the total bioaccessible fraction (TBF) of Cu, Zn, and As in food ingredients. The TBF of Cu, Zn, and As in all tested food ingredients followed the order: raw (76–80%) > steaming and baking (50–62%) > boiling and frying (41–50%). The effects of culinary procedures were associated with the subcellular distribution of trace elements. As was dominantly distributed in heat-stable proteins (51–71%), which were more likely to be lost during cooking. In comparison, Cu and Zn were mainly bound to the insoluble fraction and heat-denatured proteins (60–89% and 61–94% for Cu and Zn, respectively), which become less digestible in cooked ingredients. In conclusion, these results suggest that culinary procedures reduce the absorption of Cu, Zn, and As in various food ingredients, which should be considered in the coming studies related to nutrition and risk assessment of trace elements.
Prevalence of Aflatoxins in Camel Milk from the Arabian Peninsula and North Africa: A Reduction Approach Using Probiotic Strains
Authors: Alsulami Tawfiq , Shehata Mohamed G. , Ali Hatem S. , Alzahrani Abdulhakeem A. , Fadol Mohamed A. , Badr Ahmed Noah
Published: April 2023

Camel milk is known as a source of nutritional and health supplements. It is known to be rich in peptides and functional proteins. One main issue facing it is related to its contamination, mainly with aflatoxins. The present study aimed to evaluate camel milk samples from different regions while trying to reduce its toxicity using safe approaches based on probiotic bacteria. Collected samples of camel milk were sourced from two main regions: the Arabic peninsula and North Africa. Samples were tested for their contents of aflatoxins (B1 and M1) using two techniques to ensure desired contamination levels. Additionally, feed materials used in camel foods were evaluated. Applied techniques were also tested for their validation. The antioxidant activity of camel milk samples was determined through total phenolic content and antioxidant activity assays. Two strains of probiotic bacteria (Lactobacillus acidophilus NRC06 and Lactobacillus plantarum NRC21) were investigated for their activity against toxigenic fungi. The result revealed high contamination of aflatoxin M1 for all samples investigated. Furthermore, cross-contamination with aflatoxin B1 was recorded. Investigated bacteria were recorded according to their significant inhibition zones against fungal growth (11 to 40 mm). The antagonistic impacts were between 40% and 70% against toxigenic fungi. Anti-aflatoxigenic properties of bacterial strains in liquid media were recorded according to mycelia inhibition levels between 41 to 52.83% against Aspergillus parasiticus ITEM11 with an ability to reduce aflatoxin production between 84.39% ± 2.59 and 90.4% ± 1.32 from media. Bacteria removed aflatoxins from the spiked camel milk in cases involving individual toxin contamination.
Effective Therapeutic Verification of Crocin I, Geniposide, and Gardenia (Gardenia jasminoides Ellis) on Type 2 Diabetes Mellitus In Vivo and In Vitro
Authors: Zhou Haibo , Zhang Sen , Chen Lianghua , Liu Yimei , Shen Luhong , Zhang Jiuliang
Published: April 2023

For many centuries, Gardenia (Gardenia jasminoides Ellis) was highly valued as a food homologous Chinese herbal medicine with various bioactive compounds, including crocin I and geniposide. However, the functional mechanism underlying the hypoglycemic effect of gardenia is absent in the literature. To evaluate the effect of gardenia and its different extracts on type 2 diabetes mellitus (T2DM) in in vivo and in vitro experiments, the dried gardenia powder was extracted using 60% ethanol and eluted at different ethanol concentrations to obtain the corresponding purified fragments. After that, the active chemical compositions of the different purified gardenia fragments were analyzed using HPLC. Then, the hypoglycemic effects of the different purified gardenia fragments were compared using in vitro and in vivo experiments. Finally, the different extracts were characterized using UPLC-ESI-QTOF-MS/MS and the mass spectrometric fragmentation pathway of the two main compounds, geniposide and crocin I, were identified. The experimental results indicated that the inhibitory effect of the 40% EGJ (crocin I) on the α-glucosidase was better than the 20% EGJ (geniposide) in vitro. However, the inhibitory effect of geniposide on T2DM was better than crocin I in the animal experiments. The different results in vivo and in vitro presumed potentially different mechanisms between crocin I and geniposide on T2DM. This research demonstrated that the mechanism of hypoglycemia in vivo from geniposide is not only one target of the α-glucosidase but provides the experimental background for crocin I and the geniposide deep processing and utilization.
Effects of Platelet Lysate Gels Derived from Different Blood Sources on Oral Mucosal Wound Healing: An In Vitro Study
Authors: Ng Sook-Luan , Azhar Nur Ain , Budin Siti Balkis , Ibrahim Norliwati , Abdul Ghani Nur Azurah , Abd Ghafar Norzana , Law Jia-Xian
Published: April 2023

The rapid healing of oral ulcers is important to prevent secondary infection, especially for chronic oral ulcers. Platelet lysate (PL) is rich in growth factors for cell growth and promotes tissue regeneration. Hence, this study was performed to compare the effects of PL originating from umbilical cord blood (CB) and peripheral blood (PB) on oral mucosal wound healing. The PLs were molded into gel form in the culture insert with the addition of calcium chloride and conditioned medium for sustained release of growth factors. The CB-PL and PB-PL gels were found to degrade slowly in culture and their degradation percentages by weight were 5.28 ± 0.72% and 9.55 ± 1.82% respectively. The results from the scratch assay and Alamar blue assay showed that the CB-PL and PB-PL gels increased the proliferation (148 ± 3% and 149 ± 3%) and wound closure (94.17 ± 1.77% and 92.75 ± 1.80%) of oral mucosal fibroblasts compared to the control with no statistical differences between the two gels, respectively. Quantitative RT-PCR showed that mRNA expressions of collagen-I, collagen-III, fibronectin, and elastin genes in cells treated with CB-PL (11-, 7-, 2-, and 7-fold) and PB-PL (17-, 14-, 3-, and 7-fold) decreased compared with the control, respectively. The concentration of platelet-derived growth factor of PB-PL gel (1303.10 ± 343.96 pg/mL) showed a higher trend than CB-PL gel did (905.48 ± 69.65 pg/mL) from ELISA measurement. In summary, CB-PL gel is as effective as PB-PL gel in supporting oral mucosal wound healing, making it a potential new source of PL for regenerative treatment.
Using Machine Learning for the Risk Factors Classification of Glycemic Control in Type 2 Diabetes Mellitus
Authors: Cheng Yi-Ling , Wu Ying-Ru , Lin Kun-Der , Lin Chun-Hung , Lin I-Mei
Published: April 2023

Several risk factors are related to glycemic control in patients with type 2 diabetes mellitus (T2DM), including demographics, medical conditions, negative emotions, lipid profiles, and heart rate variability (HRV; to present cardiac autonomic activity). The interactions between these risk factors remain unclear. This study aimed to use machine learning methods of artificial intelligence to explore the relationships between various risk factors and glycemic control in T2DM patients. The study utilized a database from Lin et al. (2022) that included 647 T2DM patients. Regression tree analysis was conducted to identify the interactions among risk factors that contribute to glycated hemoglobin (HbA1c) values, and various machine learning methods were compared for their accuracy in classifying T2DM patients. The results of the regression tree analysis revealed that high depression scores may be a risk factor in one subgroup but not in others. When comparing different machine learning classification methods, the random forest algorithm emerged as the best-performing method with a small set of features. Specifically, the random forest algorithm achieved 84% accuracy, 95% area under the curve (AUC), 77% sensitivity, and 91% specificity. Using machine learning methods can provide significant value in accurately classifying patients with T2DM when considering depression as a risk factor.
Geriatric Care Management System Powered by the IoT and Computer Vision Techniques
Authors: Paulauskaite-Taraseviciene Agne , Siaulys Julius , Sutiene Kristina , Petravicius Titas , Navickas Skirmantas , Oliandra Marius , Rapalis Andrius , Balciunas Justinas
Published: April 2023

The digitalisation of geriatric care refers to the use of emerging technologies to manage and provide person-centered care to the elderly by collecting patients’ data electronically and using them to streamline the care process, which improves the overall quality, accuracy, and efficiency of healthcare. In many countries, healthcare providers still rely on the manual measurement of bioparameters, inconsistent monitoring, and paper-based care plans to manage and deliver care to elderly patients. This can lead to a number of problems, including incomplete and inaccurate record-keeping, errors, and delays in identifying and resolving health problems. The purpose of this study is to develop a geriatric care management system that combines signals from various wearable sensors, noncontact measurement devices, and image recognition techniques to monitor and detect changes in the health status of a person. The system relies on deep learning algorithms and the Internet of Things (IoT) to identify the patient and their six most pertinent poses. In addition, the algorithm has been developed to monitor changes in the patient’s position over a longer period of time, which could be important for detecting health problems in a timely manner and taking appropriate measures. Finally, based on expert knowledge and a priori rules integrated in a decision tree-based model, the automated final decision on the status of nursing care plan is generated to support nursing staff.
Health-Promoting Factors and Their Relationships with the Severity of Symptoms in Patients with Anxiety Disorders during the COVID-19 Pandemic
Authors: Jarosz Marcin , Dębski Paweł , Główczyński Patryk , Badura-Brzoza Karina
Published: April 2023

Background: Anxiety disorders are one of the most common mental disorders in the modern world. The COVID-19 pandemic has led to the onset of many mental disorders in people who did not have them before. It can be suspected that in people who already had anxiety disorders before the pandemic, their quality of life has significantly deteriorated. Aim: The aim of the study was to assess the relationships between life satisfaction, acceptance of illness, the severity of anxiety and depression symptoms and health behaviors in a group of patients diagnosed with anxiety disorders during the COVID-19 pandemic. Material and methods: The study was conducted in the period from March 2020 to March 2022. There were 70 people among the respondents, including 44 women aged 44.06 ± 14.89 years and 26 men aged 40.84 ± 16.72 years. All persons were diagnosed with generalized anxiety disorder. Patients with other co-occurring disorders were excluded, i.e., depression and signs of organic damage to the central nervous system, as were those with cognitive disorders that prevented the completion of the questionnaires. The following scales were used in the study: the Satisfaction with Life Scale (SWLS), Acceptance of Illness Scale (AIS), Health Behavior Inventory (HBI) and Hospital Anxiety and Depression Scale (HADS). Spearman’s rank correlation coefficient and the Mann–Whitney U test were used for statistical analyses. Results: In the Satisfaction in Life questionnaire, the respondents obtained an average score of 17.59 ± 5.74 points. In the AIS scale, the mean score obtained by the patients was 27.10 ± 9.65 points. In the overall Health Behavior Inventory (HBI), the average score was 79.52 ± 15.24 points. In the HADS questionnaire, probants obtained an average of 8.17 ± 4.37 points in the depression subscale and 11.55 ± 4.46 points in the anxiety subscale. In addition, there were significant negative correlations between life satisfaction (SWLS) and the severity of anxiety and depression (HADS). The lower the perceived quality of life, the significantly higher the anxiety and depressive disorders. The result obtained in the Health Behavior Inventory (HBI) as well as in the subscale of Prohealth Activities (PHA) was negatively associated with the severity of anxiety symptoms. Prohealth activities should therefore be developed to prevent anxiety disorders, as well as to promote positive mental attitudes. In the study, the average result obtained in the subscale of positive mental attitudes correlated negatively with both anxiety and depressive symptoms. Conclusions: Life during the pandemic was assessed by patients as unsatisfactory. Health-promoting behaviors, and especially positive mental attitudes, may play a protective role in relation to anxiety and depressive symptoms in a situation of increased stress related to the COVID-19 pandemic in a group of patients with anxiety disorders.
Treatment with Gaseous Ozone Significantly Reduced the Number of Bacteria in Extended-Spectrum-β-Lactamase (ESBL)-Producing Escherichia coli Biofilm
Authors: Kovač Bruno , Planinić Ana , Planinić Matej , Piletić Kaća , Gobin Ivana
Published: April 2023

Ozone is a triatomic allotropic modification of oxygen with very high oxidation potential and strong antimicrobial properties, and can be used as a disinfecting agent. The aim of this work was to investigate the effectiveness of gaseous ozone in reducing the number of bacteria and the total biomass of E. coli biofilm using different methods of quantification and detection. Biofilm of all tested clinical isolates and standard strain was grown on ceramic tiles with dimensions of 1.0 × 1.0 cm over 24 h. These plates were then treated with gaseous ozone for 1 h. After washing, CFU/cm2 was determined, ATP bioluminescence was measured with a luminometer, and the total biomass reduction was measured after crystal-violet staining. Gaseous ozone proved to be very effective in destroying the created bacterial biofilm on ceramic tiles. Treatment caused a reduction in total bacteria number of up to 2.00 log10CFU/cm2, followed by a reduction in total biomass of up to 61.40%. Inhibition rates varied from 35.80% to 99.41%, depending on the method of quantification used. All methods used in this study are effective in determining the anti-biofilm activity of gaseous ozone, but more research is needed.
Injury Incidence and Its Characteristics in Korean Youth and Collegiate Taekwondo Sparring Athletes: A Retrospective Study
Authors: Han Mi-ock , Lee Nam-kyung , Jun Hyung-pil
Published: April 2023

This study aimed to identify the incidence of injury and its characteristics in Korean youth and collegiate Taekwondo athletes during 2021 and to provide a suggestion regarding injury incidence. A total of 183 athletes (95 youth and 88 collegiate athletes) who were registered with the Korea Taekwondo Association (KTA) participated. The research was based on the injury questionnaire developed by the International Olympic Committee (IOC). The questionnaire consists of a total of seven items, including four items related to demographic characteristics and three items related to injuries (locations of injury, types of injury, and causes of injury). A frequency analysis was performed to identify the injury characteristics. Additionally, the injury incidence rate (IIR) was calculated based on 1000 athletic exposures (AEs) during 2021. The IIRs for one recent year (2021) showed 4.43/1000 AEs and 3.13/1000 AEs in youth and collegiate Taekwondo athletes, respectively. The frequency analysis showed that finger (youth: 17.3%, collegiate: 14.6%), contusion (youth: 25.3%, collegiate: 23.8%), and contact with other athletes (youth: 57.6%, collegiate: 54.4%) ranked the highest in terms of the locations of injury, types of injury, and causes of injury, respectively. A continuing injury tracking system can play a key role in accumulating big data for identifying risk factors and developing interventions to reduce injury in Taekwondo sparring.
Environmental and Social Factors Associated with High Chronic Kidney Disease Mortality Rates in Municipalities of Guatemala: An Ecological Study of Municipal-Level Mortality Data
Authors: Cerón Alejandro
Published: April 2023

The purpose of this study was to determine the association between social and environmental indicators and high mortality rates from chronic kidney disease (CKD) in municipalities of Guatemala. An ecological study of municipal-level factors associated with CKD mortality in Guatemala was conducted. Crude mortality rates were calculated for the 2009–2019 period for each of the country’s 340 municipalities, by gender and age groups. Municipal-level social and environmental indicators were used as independent variables. Linear regression was used for bivariate and multivariate analysis. A total of 28,723 deaths from CKD were documented for the 2009–2019 period. Average crude mortality rate for all ages for the country’s 340 municipalities was 70.66 per 100,000 [0–502.99]. Very highly positive associations with high mortality rates were found in two agrarian territories where land use is mainly for permanent crops (e.g., sugar cane, coffee, rubber, banana, plantain, African palm) and pastures for cattle, with very low percentages of land covered by forests or protected areas. Social factors related to poverty and environmental factors related to agricultural use of land may play a role in the high CKD mortality rates documented in a cluster of municipalities of Guatemala.