bluuebunny/crossref_metadata_2025 huggingface dataset:
Impaired Brain Mitochondrial Bioenergetics in the Ts65Dn Mouse Model of Down Syndrome Is Restored by Neonatal Treatment with the Polyphenol 7,8-Dihydroxyflavone
Authors: Valenti Daniela , Stagni Fiorenza , Emili Marco , Guidi Sandra , Bartesaghi Renata , Vacca Rosa Anna
Published: December 2021

Down syndrome (DS), a major genetic cause of intellectual disability, is characterized by numerous neurodevelopmental defects. Previous in vitro studies highlighted a relationship between bioenergetic dysfunction and reduced neurogenesis in progenitor cells from the Ts65Dn mouse model of DS, suggesting a critical role of mitochondrial dysfunction in neurodevelopmental alterations in DS. Recent in vivo studies in Ts65Dn mice showed that neonatal supplementation (Days P3–P15) with the polyphenol 7,8-dihydroxyflavone (7,8-DHF) fully restored hippocampal neurogenesis. The current study was aimed to establish whether brain mitochondrial bioenergetic defects are already present in Ts65Dn pups and whether early treatment with 7,8-DHF positively impacts on mitochondrial function. In the brain and cerebellum of P3 and P15 Ts65Dn pups we found a strong impairment in the oxidative phosphorylation apparatus, resulting in a deficit in mitochondrial ATP production and ATP content. Administration of 7,8-DHF (dose: 5 mg/kg/day) during Days P3–P15 fully restored bioenergetic dysfunction in Ts65Dn mice, reduced the levels of oxygen radicals and reinstated the hippocampal levels of PGC-1α. No pharmacotherapy is available for DS. From current findings, 7,8-DHF emerges as a treatment with a good translational potential for improving mitochondrial bioenergetics and, thus, mitochondria-linked neurodevelopmental alterations in DS.
Causation of Oxidative Stress and Defense Response of a Yeast Cell Model after Treatment with Orthodontic Alloys Consisting of Metal Ions
Authors: Kovač Vito , Bergant Matic , Ščančar Janez , Primožič Jasmina , Jamnik Polona , Poljšak Borut
Published: December 2021

Misaligned teeth have a tremendous impact on oral and dental health, and the most efficient method of correcting the problem is orthodontic treatment with orthodontic appliances. The study was conducted to investigate the metal composition of selected orthodontic alloys, the release of metal ions, and the oxidative consequences that the metal ions may cause in the cell. Different sets of archwires, stainless steel brackets, and molar bands were incubated in artificial saliva for 90 days. The composition of each orthodontic material and quantification of the concentration of metal ions released were evaluated. Metal ion mixtures were prepared to determine the occurrence of oxidative stress, antioxidant enzyme defense system, and oxidative damage to proteins. The beta titanium alloy released the fewest metal ions and did not cause oxidative stress or protein damage. The metal ions from stainless steel and the cobalt-chromium alloy can cause oxidative stress and protein damage only at high concentrations. All metal ions from orthodontic alloys alter the activity of antioxidant enzymes in some way. The determined amounts of metal ions released from orthodontic appliances in a simulated oral environment are still below the maximum tolerated dose, and the concentrations of released metal ions are not capable of inducing oxidative stress, although some changes in antioxidant enzyme activity were observed at these concentrations.
Antioxidative and Analgesic Effects of Naringin through Selective Inhibition of Transient Receptor Potential Vanilloid Member 1
Authors: Eom Sanung , Lee Bo-Bae , Lee Shinhui , Park Youngseo , Yeom Hye Duck , Kim Tae-Hwan , Nam Seung-Hee , Lee Junho H.
Published: December 2021

Transient receptor potential vanilloid member 1 (TRPV1) is activated in response to capsaicin, protons, temperature, and free reactive oxygen species (ROS) released from inflammatory molecules after exposure to harmful stimuli. The expression level of TRPV1 is elevated in the dorsal root ganglion, and its activation through capsaicin and ROS mediates neuropathic pain in mice. Its expression is high in peripheral and central nervous systems. Although pain is a response evolved for survival, many studies have been conducted to develop analgesics, but no clear results have been reported. Here, we found that naringin selectively inhibited capsaicin-stimulated inward currents in Xenopus oocytes using a two-electrode voltage clamp. The results of this study showed that naringin has an IC50 value of 33.3 μM on TRPV1. The amino acid residues D471 and N628 of TRPV1 were involved in its binding to naringin. Our study bridged the gap between the pain suppression effect of TRPV1 and the preventive effect of naringin on neuropathic pain and oxidation. Naringin had the same characteristics as a model selective antagonist, which is claimed to be ideal for the development of analgesics targeting TRPV1. Thus, this study suggests the applicability of naringin as a novel analgesic candidate through antioxidative and analgesic effects of naringin.
Mass Spectrometry Imaging Analysis of Metabolic Changes in Green and Red Tomato Fruits Exposed to Drought Stress
Authors: Asakura Hiroko , Taira Shu , Funaki Junko , Yamakawa Takashi , Abe Keiko , Asakura Tomiko
Published: December 2021

Plant metabolism is altered in response to various environmental changes. In vegetable crops such as tomato (Solanum lycopersicum), the metabolic composition of fruits varies depending on the variety or cultivar as well as the cultivation method used. Few studies have examined the metabolic fluctuations in fruits under stress conditions, such as drought. We previously examined the metabolomes of mature green tomato fruits, which undergo drastic changes in chemical composition during ripening, and mature red fruits in response to drought stress. We detected or predicted fluctuations in the levels of fatty acids and phospholipid constituents, such as inositol and ethanolamine. In this study, we determined the localizations of these metabolites in fruits using mass spectrometry imaging. The accumulation patterns of stearic acid and palmitic acid were similar, but unlike these fatty acids, oleic acid accumulated to high levels in the placenta. Inositol is involved in various physiological processes; under drought conditions, this metabolite is synthesized by a different pathway compared to under normal conditions. The biosynthesis of pectin, a component of the gel surrounding the seeds, was suppressed under drought stress but increased in seeds. We propose that under drought conditions, a shift to phospholipid biosynthesis occurs that protects seeds from dehydration.
Regenerative Biotechnologies in Plastic Surgery: A Multicentric, Retrospective, Case-Series Study on the Use of Micro-Needling with Low-Level Light/Laser Therapy as a Hair Growth Boost in Patients Affected by Androgenetic Alopecia
Authors: Gentile Pietro , Garcovich Simone , Lee Soo-Ik , Han Sangbum
Published: December 2021

A new biotechnology based on micro-needling (MND) with low-level light/laser therapy (LLLT) that is used for hair re-growth (HR-G) needs to be standardized. The study aims to report the clinical outcomes resulting from a multicentric, retrospective, observational, case-series study in which MND with LLLT was used on patients affected by androgenic alopecia (AGA). Twenty-six patients were initially enrolled of which 15 males were classified as stages I–III of vertex by the Norwood–Hamilton scale, and 11 females was classified in stages I–II by the Ludwig scale. Twenty patients (10 females and 10 males) were analyzed after their screening (the exclusion and inclusion criteria evaluation). The HR-G assessment was evaluated with photography, as well as the physician’s and patient’s global assessment scales, in addition to standardized phototrichograms, during a short follow-up at T0-baseline, T1-16 weeks. Encouraging results represented by a hair density increase of 12 ± 2 hairs/cm2 at T1 after 16 weeks (16 weeks vs. 0 weeks) in the targeted area, compared with the baseline results (59 ± 2 hairs/cm2 at T1 versus 47 ± 2 hairs/cm2 at baseline), were observed using computerized trichograms with a statistically significant difference in hair re-growth (p = 0.0238). The effectiveness of MND with LLLT use has been demonstrated in mild to moderate AGA patients.
Resource Management in Converged Optical and Millimeter Wave Radio Networks: A Review
Authors: Sahinel Doruk , Rommel Simon , Monroy Idelfonso Tafur
Published: December 2021

Three convergent processes are likely to shape the future of the internet beyond-5G: The convergence of optical and millimeter wave radio networks to boost mobile internet capacity, the convergence of machine learning solutions and communication technologies, and the convergence of virtualized and programmable network management mechanisms towards fully integrated autonomic network resource management. The integration of network virtualization technologies creates the incentive to customize and dynamically manage the resources of a network, making network functions, and storage capabilities at the edge key resources similar to the available bandwidth in network communication channels. Aiming to understand the relationship between resource management, virtualization, and the dense 5G access and fronthaul with an emphasis on converged radio and optical communications, this article presents a review of how resource management solutions have dealt with optimizing millimeter wave radio and optical resources from an autonomic network management perspective. A research agenda is also proposed by identifying current state-of-the-art solutions and the need to shift all the convergent issues towards building an advanced resource management mechanism for beyond-5G.
Do Background Colors Have an Impact on Preferences and Catch the Attention of Users?
Authors: Lewandowska Anna , Olejnik-Krugly Agnieszka
Published: December 2021

In recent years, our environment has become more invasive and stimulating than ever. People must choose carefully what to look for in their over-stimulated daily lives. One way to attract visual attention, which may even interrupt the cognitive task being performed, is color. However, a question arises: Does each color attract the attention of users in a similar way? In this paper, we attempt to answer this question. Our goal is to investigate whether there are colors that have a greater visual power than other colors and, thus, can capture the attention of users more strongly, independent of the background (e.g., color or image). We also discuss which mode of visual attention (divided or sustained) is particularly susceptible to such visual messages. For this purpose, a perceptual experiment was developed, in which user preferences concerning user-friendly and readable color compositions were acquired. At the same time, we measured the unconscious reactions of users related to their first impression, thus indicating the color composition which first (from a displayed pair of images) draws the attention of users. Reactions were measured using an eye tracker. As a result of this research, we found that the background color, in the case of some colors, does not have a significant impact on the perception of the visual message, even if it is intended to attract and maintain the attention of the user.
Battery Sizing for Mild P2 HEVs Considering the Battery Pack Thermal Limitations
Authors: Yakhshilikova Gulnora , Ezemobi Ethelbert , Ruzimov Sanjarbek , Tonoli Andrea
Published: December 2021

Small capacity and passively cooled battery packs are widely used in mild hybrid electric vehicles (MHEV). In this regard, continuous usage of electric traction could cause thermal runaway of the battery, reducing its life and increasing the risk of fire incidence. Hence, thermal limitations on the battery could be implemented in a supervisory controller to avoid such risks. A vast literature on the topic shows that the problem of battery thermal runaway is solved by applying active cooling or by implementing penalty factors on electric energy utilization for large capacity battery packs. However, they do not address the problem in the case of passive cooled, small capacity battery packs. In this paper, an experimentally validated electro-thermal model of the battery pack is integrated with the hybrid electric vehicle simulator. A supervisory controller using the equivalent consumption minimization strategy with, and without, consideration of thermal limitations are discussed. The results of a simulation of an MHEV with a 0.9 kWh battery pack showed that the thermal limitations of the battery pack caused a 2–3% fuel consumption increase compared to the case without such limitations; however, the limitations led to battery temperatures as high as 180 °C. The same simulation showed that the adoption of a 1.8 kWh battery pack led to a fuel consumption reduction of 8–13% without thermal implications.
Effects of Caprolactam Wastewater on Algal Growth and Nutrients Removal by Arthrospira platensis
Authors: Yu Youzhi , Li Xu , Wang Zhongjie , Rong Junfeng , Wang Kaixuan , Huo Yan , Geng Yahong , Li Yeguang , Wen Xiaobin
Published: December 2021

Caprolactam wastewater (WCP), which is generated during the production of caprolactam, contains high contents of NO3− and inorganic P and is considered to be difficult to treat. In this study, Arthrospira platensis was used to remove N and P from WCP. Culture conditions and wastewater addition were optimized to relieve the inhibition effects of WCP. The results show that A. platensis growth and photosynthetic activity were inhibited depending on WCP concentrations. The inhibition rates were enhanced as the culture time increased under batch mode. However, the fed-batch mode significantly minimized the negative impact on A. platensis, which is beneficial for removing N and P from WCP by Arthrospira. After 10 d of cultivation of A. platensis in a 25 L circular photobioreactor in fed-batch addition of WCP (1.25% mixed WCP (v/v) each day), the average biomass productivity reached 17.48 g/(m2·d), the maximum protein content was 69.93%, and the N and P removal ratios were 100%. The accumulation effect of WCP inhibition on algal growth was not observed under this culture condition. Fed-batch cultivation of A. platensis is a promising way for bioremediation of WCP with high N and P removal efficiencies and high value-added biomass production.
Edge and Notch Detection in a Plate Using Time Reversal Process of Leaky Lamb Waves
Authors: Vallée Jean-Christophe , Ploix Marie-Aude , Baqué François , Cavaro Matthieu , Chaix Jean-François
Published: December 2021

Leaky Lamb waves are proven effective to carry out nondestructive testing especially on parallel and immersed plates. To detect and localize defects in such a set, this work associates for the first time the topological energy method and leaky Lamb waves. This methodology is applied in a single immersed plate to validate its application. Firstly, Lamb mode A1 is generated in the plate, and the reflected waves on the defect are measured. A first case is examined where the edge is considered as a defect to be localized. Then, measurements are taken on a plate where a notch is machined. The measurements are time reversed and reinjected in a finite-element simulation. The results are then correlated with the direct problem of the topological energy method that is also simulated. In both cases, the defects are precisely localized on the energy images. This work is the preliminary step to an application of the topological energy method to a set of two parallel and immersed plates where the research defect is located in the second plate.
Three-Dimensional Human Head Reconstruction Using Smartphone-Based Close-Range Video Photogrammetry
Authors: Matuzevičius Dalius , Serackis Artūras
Published: December 2021

Creation of head 3D models from videos or pictures of the head by using close-range photogrammetry techniques has many applications in clinical, commercial, industrial, artistic, and entertainment areas. This work aims to create a methodology for improving 3D head reconstruction, with a focus on using selfie videos as the data source. Then, using this methodology, we seek to propose changes for the general-purpose 3D reconstruction algorithm to improve the head reconstruction process. We define the improvement of the 3D head reconstruction as an increase of reconstruction quality (which is lowering reconstruction errors of the head and amount of semantic noise) and reduction of computational load. We proposed algorithm improvements that increase reconstruction quality by removing image backgrounds and by selecting diverse and high-quality frames. Algorithm modifications were evaluated on videos of the mannequin head. Evaluation results show that baseline reconstruction is improved 12 times due to the reduction of semantic noise and reconstruction errors of the head. The reduction of computational demand was achieved by reducing the frame number needed to process, reducing the number of image matches required to perform, reducing an average number of feature points in images, and still being able to provide the highest precision of the head reconstruction.
Analysis of the Vibration Behaviors of Rotating Composite Nano-Annular Plates Based on Nonlocal Theory and Different Plate Theories
Authors: Li Haonan , Wang Wei , Yao Linquan
Published: December 2021

Rotating machinery has significant applications in the fields of micro and nano meters, such as nano-turbines, nano-motors, and biomolecular motors, etc. This paper takes rotating nano-annular plates as the research object to analyze their free vibration behaviors. Firstly, based on Kirchhoff plate theory, Mindlin plate theory, and Reddy plate theory, combined with nonlocal constitutive relations, the differential motion equations of rotating functionally graded nano-annular plates in a thermal environment are derived. Subsequently, the numerical method is used to discretize and solve the motion equations. The effects of nonlocal parameter, temperature change, inner and outer radius ratio, and rotational velocity on the vibration frequencies of the nano-annular plates are analyzed through numerical examples. Finally, the relationship between the fundamental frequencies and the thickness-to-radius ratio of the nano-annular plates of clamped inner and outer rings is discussed, and the differences in the calculation results among the three plate theories are compared.
Detecting Criticality by Exploring the Acoustic Activity in Terms of the “Natural-Time” Concept
Authors: Loukidis Andronikos , Triantis Dimos , Stavrakas Ilias , Pasiou Ermioni D. , Kourkoulis Stavros K.
Published: December 2021

The acoustic activity developed in marble specimens under various loading schemes is explored in terms of the recently introduced F-function. The novelty of the study is that instead of describing the temporal evolution of the F-function in terms of conventional time, the Natural Time concept is employed. Although completely different geometries and loading schemes were considered, the evolution of the F-function in the Natural Time domain exhibits a self-consistent motive: its values increase progressively with fluctuations of varying intensity, however, while the fracture is approaching, a power law appears to systematically govern the response of the specimen/structure loaded. The exponent of this law, somehow corresponding to the intensity of the acoustic activity within the loaded complex, varies within broad limits. The onset of validity of the power law designates that the system has entered into its critical stage, namely that of impending fracture, providing a useful pre-failure signal.
Multi-Task Deep Learning Model with an Attention Mechanism for Ship Accident Sentence Prediction
Authors: Park Ho-Min , Kim Jae-Hoon
Published: December 2021

The number of ship accidents occurring in the Korean ocean has been steadily increasing year by year. The Korea Maritime Safety Tribunal (KMST) has published verdicts to ensure that the relevant personnel can share judgment on these accidents. As of 2020, there have been 3156 ship accidents; thus, it is difficult for the relevant personnel to study these various accidents by only reading the verdicts. Therefore, in this study, we propose a multi-task deep learning model with an attention mechanism for predicting the sentencing of ship accidents. The tasks are accident types, applied articles, and the sentencing of ship accidents. The proposed model was tested under verdicts published by the KMST between 2010 and 2019. Through experiments, we show that the proposed model can improve the performance of sentence prediction and can assist the relevant personnel to study these accidents.
A Scalable Solution to Detect Behavior Changes of Elderly People Living Alone
Authors: Susnea Ioan , Pecheanu Emilia , Sandu Cristian , Cocu Adina
Published: December 2021

As the world population is ageing rapidly and old age comes with multiple health issues, the need for medical services is likely to increase in a couple of decades beyond the limits of the medical systems of almost any country. In response to this trend, a variety of technologies have been developed with the aim of helping older people live independently as long as possible and reduce the burden on caregivers. In this paper, we propose a solution to encode the information about the activity of the monitored person, captured by a set of binary sensors, in the form of activity maps that reflect not only the intensity, but also the spatial distribution of the activity between a set of behaviorally meaningful places. Then, we propose a method for automatic analysis of the activity maps in order to detect deviations from the previously recorded routine. We have tested the method on two public activity recognition datasets and found that the proposed solution is not only feasible, but also has several important advantages (it is low cost, scalable, adaptable, requires little expert knowledge for setup and protects the privacy of the monitored persons) that make it applicable on a large scale, including for people with low socio-economic status.
An Approach for Pronunciation Classification of Classical Arabic Phonemes Using Deep Learning
Authors: Asif Amna , Mukhtar Hamid , Alqadheeb Fatimah , Ahmad Hafiz Farooq , Alhumam Abdulaziz
Published: December 2021

A mispronunciation of Arabic short vowels can change the meaning of a complete sentence. For this reason, both the students and teachers of Classical Arabic (CA) are required extra practice for correcting students’ pronunciation of Arabic short vowels. That makes the teaching and learning task cumbersome for both parties. An intelligent process of students’ evaluation can make learning and teaching easier for both students and teachers. Given that online learning has become a norm these days, modern learning requires assessment by virtual teachers. In our case, the task is about recognizing the exact pronunciation of Arabic alphabets according to the standards. A major challenge in the recognition of precise pronunciation of Arabic alphabets is the correct identification of a large number of short vowels, which cannot be dealt with using traditional statistical audio processing techniques and machine learning models. Therefore, we developed a model that classifies Arabic short vowels using Deep Neural Networks (DNN). The model is constructed from scratch by: (i) collecting a new audio dataset, (ii) developing a neural network architecture, and (iii) optimizing and fine-tuning the developed model through several iterations to achieve high classification accuracy. Given a set of unseen audio samples of uttered short vowels, our proposed model has reached the testing accuracy of 95.77%. We can say that our results can be used by the experts and researchers for building better intelligent learning support systems in Arabic speech processing.
The Effect of Inhaled Corticosteroid Therapy on Periodontal Status in Patients with Asthma
Authors: Dembowska Elżbieta , Jaroń Aleksandra , Skoczek-Szlosser Karolina , Gabrysz-Trybek Ewa , Bladowska Joanna , Trybek Grzegorz
Published: December 2021

Asthma belongs to a broad group of allergic diseases and is the most common chronic disease found in children and adults up to four decades of age. Already published studies suggest that the use of inhaled anti-asthmatic medications affects both general health and oral health. The study included 120 adult patients aged 18 to 71 divided into three groups: I “PERIO-ASTHMA”—with asthma and periodontitis, II “ASTHMA”—with asthma without periodontitis, and control group III “CONTROL”—without asthma and periodontitis. The patients were monitored for oral health status for six months. Oral health was assessed by dental indices: DMF index, PI, BoP, PD, and CAL at interproximal sites. Significantly deeper pockets in the lateral segments of the dentition were observed in all study groups. In addition, the bronchial-only group had significantly deeper pockets in the lateral sextants than the control group at all time points. There was no significant worsening of periodontal status by CAL and PD in asthma patients treated with inhalation, irrespective of baseline periodontal status. Depending on the severity of asthma, an increase in BOP was observed in the central sextant in patients without periodontitis. The history of asthma and the use of ICS has an impact on the periodontal status of patients.
Mobile Data-Mule Optimal Path Planning for Wireless Sensor Networks
Authors: Tsilomitrou Ourania , Tzes Anthony
Published: December 2021

This article is concerned with collecting stored sensor data from a static Wireless Sensor Network utilizing a group of mobile robots that act as data mules. In this scenario, the static sensor nodes’ locations are known a priori, and the overall optimization problem is formulated as a variation of the Traveling Salesman Subset-tour Problem (TSSP). The constraints that are taken into account include: (a) the pairwise distance between static nodes, (b) the maximum time interval between consecutive visits of each static node, (c) the service time that is required for the collection of the sensor data from the mobile element that visits this sensor node, and (d) the energy efficiency for the mobile nodes. The optimal mobile robot paths are computed using an enhanced Mobile Element Scheduling scheme. This scheme extracts the sequential paths of the mobile elements in an attempt to eliminate any sensor data loss.
Use of Digestate as Organic Amendment and Source of Nitrogen to Vegetable Crops
Authors: Horta Carmo , Carneiro João Paulo
Published: December 2021

Anaerobic digestion is a valuable process to use livestock effluents to produce green energy and a by-product called digestate with fertilising value. This work aimed at evaluating the fertilising value of the solid fraction (SF) of a digestate as an organic amendment and as a source of nitrogen to crops replacing mineral N. A field experiment was done with two consecutive vegetable crops. The treatments were: a control without fertilisation; Ni85 mineral fertilisation with 85 kg ha−1 of mineral N; fertiliser with digestate at an increasing nitrogen application rate (kg N ha−1): DG-N85 DG-N170, DG-N170+85, DG-N170+170; fertilisation with digestate together with Ni: DG-N85+Ni60, DG-N170+Ni60, DG-N170+Ni25. The results showed a soil organic amendment effect of the SF with a beneficial effect on SOM, soil pH and exchangeable bases. The SF was able to replace part of the mineral N fertilisation. The low mineralisation of the stable organic matter together with some immobilisation of mineral N from SF caused low N availability. The fertilisation planning should consider the SF ratio between the organic N (NO) and total N (TKN). Low NO:TKN ratios (≈0.65) needed lower Ni addition to maintaining the biomass production similar to the mineral fertilisation.
Soil Acidification, Mineral Neoformation and Heavy Metal Contamination Driven by Weathering of Sulphide Wastes in a Ramsar Wetland
Authors: Grantcharova Mihaela M. , Fernández-Caliani Juan Carlos
Published: December 2021

Past waste disposal practices have left large volumes of sulphidic material stockpiled in a Ramsar wetland site on the Atlantic coast of southwestern Spain, leading to severe land degradation. With the aim of addressing this legacy issue, soil core samples were collected along two transects extending from the abandoned stockpiles to the adjacent marshland and subjected to XRD, SEM-EDS, ICP-OES and ICP-MS analyses. Sulphide oxidation has been shown to be a major driver of acid generation and metal leaching into the environment. The marsh soil receiving acid discharges from the sulphide wastes contains elevated levels (in mg kg−1) of Pb (up to 9838), As (up to 1538), Zn (up to 1486), Cu (up to 705), Sb (up to 225) and Tl (up to 13), which are retained both in relatively insoluble secondary minerals (mainly metal sulphates and oxides) and in easily soluble hydrated salts that serve as a transitory pool of acidity and available metals. By using a number of enrichment calculation methods that relate the metal concentrations in soil and their baseline concentrations and regulatory thresholds, there is enough evidence to conclude that these pollutants may pose an unacceptable risk to human and ecological receptors.
Physics Forceps in Tooth Extraction—A Systematic Review of Randomized Controlled Trials
Authors: Janani Krishnamachari , Teja Kavalipurapu Venkata , Alam Mohammad Khursheed , Nagy Ahmed Ismail , Basheer Sulphi Abdul , Srivastava Kumar Chandan , Hosni Hala A. , Jose Jerry , Shrivastava Deepti
Published: December 2021

The present systematic review aims to evaluate the efficiency of Physics forceps over the conventional forceps for the extraction of a tooth. The study began with targeted electronic searches of MEDLINE, PubMed, Cochrane, Science Direct and Google Scholar databases. All selected articles were reviewed by four independent reviewers for eligibility. The Cochrane Risk of Bias tool was used to analyze the studies for bias. Due to heterogeneity of the selected studies, a meta-analysis of the current systematic review was not possible. A total of five studies were considered for the final analysis. The risk of bias showed high risk for all five included articles. Various parameters, such as fracture of the root, dry socket, healing, pain, postoperative infection, crown fractures, buccal bone fractures, extraction time, gingival and marginal bone loss, gingival laceration, bleeding and healing were assessed. Based on the data available, there is an insufficient quality of evidence to conclude the superiority of the Physics forceps over conventional forceps.
Airborne Particulate Matter Modeling: A Comparison of Three Methods Using a Topology Performance Approach
Authors: Ramírez-Montañez Julio Alberto , Aceves-Fernández Marco Antonio , Pedraza-Ortega Jesús Carlos , Gorrostieta-Hurtado Efrén , Sotomayor-Olmedo Artemio
Published: December 2021

Understanding the behavior of suspended pollutants in the atmosphere has become of paramount importance to determine air quality. For this purpose, a variety of simulation software packages and a large number of algorithms have been used. Among these techniques, recurrent deep neural networks (RNN) have been used lately. These are capable of learning to imitate the chaotic behavior of a set of continuous data over time. In the present work, the results obtained from implementing three different RNNs working with the same structure are compared. These RNNs are long-short term memory network (LSTM), a recurrent gated unit (GRU), and the Elman network, taking as a case study the records of particulate matter PM10 and PM2.5 from 2005 to 2019 of Mexico City, obtained from the Red Automatica de Monitoreo Ambiental (RAMA) database. The results were compared for these three topologies in execution time, root mean square error (RMSE), and correlation coefficient (CC) metrics.
Effect of Fibre Reinforcement on Creep in Early Age Concrete
Authors: González Laura , Gaute Álvaro , Rico Jokin , Thomas Carlos
Published: December 2021

This research analyses the strain behaviour of fibre-reinforced concrete (FRC) in the event of a creep episode. The analysis of creep experienced by FRC specimens during the test reflects better performance than that predicted by the EHE-08 standard. The authors propose a formulation for the evaluation of creep strain undergone by FRC. During the research, the evolution of the modulus of elasticity of FRC after a creep episode is analysed. After the test campaign, it can be concluded that FRC loaded at an earlier age stiffens after a creep episode. After the creep test is completed, the delayed elastic strain undergone by FRC is analysed and it is observed that FRC loaded at an earlier age undergoes less deformation. The authors propose a formulation for the evaluation of the delayed elastic strain undergone by FRC after a creep episode.
Energy Efficient, Highly Precise Cascade Dryness Control for Fibrous Tape by Induction-Based Surface Heating of a Rotating Steel Cylinder with Moving Inductors
Authors: Kucharski Jacek , Fraczyk Andrzej , Urbanek Piotr
Published: December 2021

Drying various materials constitutes an essential component of several industrial processes, e.g., paper production. Typically, rotating cylinders heated internally by water steam are used for drying tape-shaped material in paper-making machines. Such an approach remains very energy-consuming, while the whole process is expensive and in conflict with the global policy of reducing energy consumption in heavy industry. One promising alternative method of drying fibrous tapes is the induction heating of drying cylinders. In this paper, we propose a drying system based on a set of inductors (electromagnetic field sources) that generate energy in the mantle of the cylinder and dry the running tape. By enabling the movement of the inductors, the system provides a high level of flexibility in terms of reacting to the varying humidity of the tape. Additionally, imaging the temperature field on the cylinder surface provides a supplementary source of information, enabling the temperature profile to be controlled. Two types of humidity control systems, a one-loop feedback control and a cascade control, were designed and analyzed. Simulation analysis and experimental verification performed using a semi-industrial setup proves that using the proposed cascade control ensures more than 30% faster response of the whole dryness control system.
Reconfigurable/Foldable Overconstrained Mechanism and Its Application
Authors: Matei Lucian , Iliescu Mihaiela , Dumitru Ilie , Racila Mihaela , Benec Mincu Glencora-Maria , Racila Laurentiu
Published: December 2021

The paper presents some possible applications started from a six revolute joints (6R) overconstrained mechanism. The spatial devices obtained are based on the 6R Wohlhart symmetric mechanism in a special spatial position, with three non-adjacent joints constrained to remain in a fixed plane. This special spatial disposition allows us to obtain some reconfigurable/foldable devices, with an estimated application in the automotive industry field.
Investigation of Volatile Compounds in Combination with Multivariate Analysis for the Characterization of Monofloral Honeys
Authors: Tananaki Chrysoula , Liolios Vasilios , Kanelis Dimitrios , Rodopoulou Maria Anna
Published: December 2021

Lately there has been a growing demand for monofloral honeys with distinctive properties. Considering the limitations of pollen analysis, the volatile profile of honey has been proposed as a helpful supplementary tool for the confirmation of monoflorality; however, research remains regarding the volatile markers that may characterize the monofloral honey types. Therefore, in this study, we tried to expand the research by investigating the aroma profiles of five monofloral honey types (fir, pine, erica, thyme, cotton) and discriminate them through chemometric approach. A purge and trap–gas chromatograph–mass spectrometer system was used for the extraction, separation, and identification of volatile and semi-volatile compounds. Thyme honey had the richest quantitatively aroma profile, with 97 volatile compounds, whereas fir and cotton honeys had 65 and 60 volatile compounds, respectively. From a total of 124 compounds, the 38 were detected in all the studied honey types. Thyme honey was distinguished by the presence (or percentage participation) of benzeneacetaldehyde, benzealdehyde, and benzyl nitrile; erica honey of isophorone and furfural; cotton honey of 1-butanol, 2-methyl, 1-pentanol, and 4-methyl-; and honeydew honeys of α-pinene, octane, and nonanal. The discriminant analysis confirmed that the percentage participation of volatile compounds may lead to the discrimination of the studied monofloral honey types.
De-Powdering Effect of Foundry Sand for Cement Casting
Authors: Chun Seungyeop , Lee Geumyeon , Kim Sujin , Jeong Bora , Shin Jeehoon , Cho Inkyung , Kim Hongdae , Lee Heesoo , Kim Taewook
Published: December 2021

With the development of the powder bed 3D printing process, sand casting can be performed with methods that are more advanced than the traditional ones, thus enabling new research on applied materials. When sand is 3D-printed with cement as a binder, its casting performance is improved and sufficient thermal stability of conventional organic and inorganic binders is ensured. In this study, to ensure high resolution and strength in a physical and simple mixture of cement and sand, the compatibility for casting was confirmed using submicron-level cement with ingredients and sizes similar to commercial sand, which is uniformly controlled at 4 µm, instead of conventional sand. To enable quick 3D printing, calcium aluminate cement, which has quick binding properties, was used for high-temperature casting. The strength up to 6 h after hydration was compared to determine the curing rate of silica, mullite, and alumina sand containing cement components. By investigating the change in strength due to heat treatment and comparing the adhesion drop test results after powder bed formation, the material containing silica sand was determined as the most suitable for powder layer 3D printing for application to the mold.
RALR: Random Amplify Learning Rates for Training Neural Networks
Authors: Deng Jiali , Gong Haigang , Liu Minghui , Xie Tianshu , Cheng Xuan , Wang Xiaomin , Liu Ming
Published: December 2021

It has been shown that the learning rate is one of the most critical hyper-parameters for the overall performance of deep neural networks. In this paper, we propose a new method for setting the global learning rate, named random amplify learning rates (RALR), to improve the performance of any optimizer in training deep neural networks. Instead of monotonically decreasing the learning rate, we expect to escape saddle points or local minima by amplifying the learning rate between reasonable boundary values based on a given probability. Training with RALR rather than conventionally decreasing the learning rate achieves further improvement on networks’ performance without extra consumption. Remarkably, the RALR is complementary with state-of-the-art data augmentation and regularization methods. Besides, we empirically study its performance on image classification tasks, fine-grained classification tasks, object detection tasks, and machine translation tasks. Experiments demonstrate that RALR can bring a notable improvement while preventing overfitting when training deep neural networks. For example, the classification accuracy of ResNet-110 trained on the CIFAR-100 dataset using RALR achieves a 1.34% gain compared with ResNet-110 trained traditionally.
Influence of Metal Gear Tooth Geometry on Load and Wear within Metal-Polymer Gear Pairs
Authors: Rohrmoser Andreas , Bode Christoph , Schleich Benjamin , Hagenah Hinnerk , Wartzack Sandro , Merklein Marion
Published: December 2021

Gear pairs made of the material pairing metal-polymer provide advantages, such as a reduced weight, beneficial damping properties and the possibility to be operated in dry running conditions. However, the service life of the pairing is limited due to wear. The properties of the metallic gearing have a significant influence on the wear behavior of the material pairing. From previous investigations, the influence of the surface topography and the flank hardness of the metal pinion is known. With regard to resource saving and efficient manufacturing of the metal pinion, cold forging offers benefits. Through cold forging, metallic gears for the material pairing can be produced ready-to-use in a process suitable for serial production. In order to enable manufacturing by extrusion, the application of gear radii is necessary. The gear radii significantly affect the extrusion process and the achievable gear properties. However, the influence of gear radii on wear within the metal-polymer material pairing has not yet been investigated. Within this contribution, the influence of the gear radii on the contact behavior as well as the resulting local load and wear of the tooth flank is determined. For this purpose, wear tests with aluminum (AlMgSi1) and steel (16MnCr5) gears with different gear radii within the pairing with polyamide (PA66) gears were performed. It has been shown that the local wear of the tooth flank can be attributed to the local load and that adjusted gear radii lead to a varying load and wear of the metal and polymer gears. Based on the findings, functional relationships regarding the choice of gear radii and the wear behavior are derived which can be applied in the design of cold forged gears.
Calcium Hydroxide Removal Using Four Different Irrigation Systems: A Quantitative Evaluation by Scanning Electron Microscopy
Authors: Generali Luigi , Cavani Francesco , Franceschetti Federico , Sassatelli Paolo , Giardino Luciano , Pirani Chiara , Iacono Francesco , Bertoldi Carlo , Angerame Daniele , Checchi Vittorio , Pedullà Eugenio
Published: December 2021

This study compares conventional endodontic needle irrigation, passive ultrasonic irrigation, apical negative pressure irrigation, and mechanical activation to remove calcium hydroxide from single straight root canals. Eighty-four mandibular premolars were prepared in a crown-down manner up to size #40. Two teeth represented a negative control, and another two served as a positive control. Calcium hydroxide paste was placed inside root canals. The remaining eighty samples were analyzed based on the activation techniques, and the cleanliness of the canals was quantified using Fiji’s software on 500× magnified SEM backscattered electron micrographs. Considering the whole canal, all instruments showed better performance than conventional endodontic needle irrigation in removing calcium hydroxide (p < 0.05). Irrisafe and XP-endo Finisher could remove a significantly higher amount of calcium hydroxide than Endovac (p < 0.05). Irrisafe and XP-endo Finisher have been able to remove more calcium hydroxide than EndoVac.
Retrospective Study Regarding Orthodontic Retention Complications in Clinical Practice
Authors: Bucur Sorana Maria , Iantovics Laszlo Barna , Bud Anamaria , Bud Eugen Silviu , Cocoș Dorin Ioan , Vlasa Alexandru
Published: December 2021

At the end of any orthodontic treatment, retention is a necessary phase. Unfortunately, the current retention devices and the lack of proper oral hygiene on the part of patients lead to the accumulation of dental plaque, periodontal inflammation, and gingival retraction. Our retrospective study included 116 adult patients wearing various types of orthodontic retainers. To quantitatively determine the accumulation of dental plaque, we used the Quigley–Hein plaque index modified by Turesky and the Navy plaque index modified by Rustogi. Another studied parameter was related to the gingival recession associated with retention devices. We had investigated the correctness of patients’ dental hygiene, their preferences for auxiliary means of oral hygiene, the consistency with which they wear the mobile retainers, and respect the orthodontist’s instructions; we also investigated the inconveniences and the accidents that may occur during the retention period. Statistical analysis showed that plaque accumulation is significantly lower in the case of mobile retainer than fixed retainer wearers; the exception was the Hawley plate, where the interdental plaque was more than in all the other studied retainers. Periodontal recessions were more frequent in the case of fixed retainer wearing. Flossing was the most commonly used auxiliary mean for oral hygiene. The compliance of women in wearing vacuum-formed retainers was better than that of men. Patients with a class III history had more plaque accumulation, and class II/1 had the most problems related to detachment/damage of fixed retainers. Mobile retainers proved better results for oral hygiene, but fixed retainers cannot be waved.
Battery State Estimation with ANN and SVR Evaluating Electrochemical Impedance Spectra Generalizing DC Currents
Authors: Loechte Andre , Rojas Ruiz Ignacio , Gloesekoetter Peter
Published: December 2021

The demand for energy storage is increasing massively due to the electrification of transport and the expansion of renewable energies. Current battery technologies cannot satisfy this growing demand as they are difficult to recycle, as the necessary raw materials are mined under precarious conditions, and as the energy density is insufficient. Metal–air batteries offer a high energy density as there is only one active mass inside the cell and the cathodic reaction uses the ambient air. Various metals can be used, but zinc is very promising due to its disposability and non-toxic behavior, and as operation as a secondary cell is possible. Typical characteristics of zinc–air batteries are flat charge and discharge curves. On the one hand, this is an advantage for the subsequent power electronics, which can be optimized for smaller and constant voltage ranges. On the other hand, the state determination of the system becomes more complex, as the voltage level is not sufficient to determine the state of the battery. In this context, electrochemical impedance spectroscopy is a promising candidate as the resulting impedance spectra depend on the state of charge, working point, state of aging, and temperature. Previous approaches require a fixed operating state of the cell while impedance measurements are being performed. In this publication, electrochemical impedance spectroscopy is therefore combined with various machine learning techniques to also determine successfully the state of charge during charging of the cell at non-fixed charging currents.
Application of a Bacteriophage–Sanitizer Combination in Post-Harvest Control of E. coli O157:H7 Contamination on Spinach Leaves in the Presence or Absence of a High Organic Load Produce Wash
Authors: Vengarai Jagannathan Badrinath , Kitchens Steven , Price Stuart , Morgan Melissa , Vijayakumar Paul Priyesh
Published: December 2021

Foodborne illness due to the consumption of contaminated products continues to be a serious public health issue. Bacteriophages might provide a natural and effective way to control and reduce the pathogenic bacterial population on food products. Researchers have conducted various experiments to prove their effectiveness against different pathogens and their ability to act as a natural intervention to control pathogen populations, especially in the food industry. In this study, a cocktail of bacteriophages (phages) was added to wash water in the presence of a high organic load along with commercially used sanitizers (chlorine or Sanidate 5.0) to study the efficacy of the phage–sanitizer combination in the challenge water. It was determined that in the absence of organic loads, the sanitizer by itself or the combination with phages significantly (p < 0.001) reduced the contamination by 3.00–5.00 log CFU/mL. In the presence of organic loads, the sanitizer by itself did not contribute to a significant reduction (p > 0.05) compared to the control. However, the sanitizer–phage combination led to a 3.00-log and 6.00-log reduction (p < 0.001) of the pathogen at the end of 3 and 6 h, respectively, in the presence of high organic loads. Therefore, utilizing a combination treatment (phage–sanitizer) might be one solution to reduce pathogen contamination in the food industry, especially the fresh produce industry, thus providing safe food for consumption.