bluuebunny/crossref_metadata_2025 huggingface dataset:
Competitiveness of the European Union Member States according to the Institute of Management Development index (IMD)
Authors: Walenia Alina
Published: June 2022

The competitiveness index of the Swiss Institute for Management Development (IMD International for Management Development), based in Lausanne, is calculated and published in the World Competitiveness Yearbook - the leading annual report published annually since 1989. Until 1995, the report was developed jointly by the IMD and the Index of Economic Freedom (IEF). IMD publishes the World Digital Competitiveness Ranking, which measures the ability of 64 economies to adapt to digital technologies and the readiness to search for new applications of digital technologies as a key factor of economic transformation in industry, the public sector and broadly understood social relations. The IMD index provides a general overview of the factors that determine the level of competitiveness. Currently, these factors are analyzed in four categories defining the competitiveness of the economy, i.e.: economic situation, government efficiency, efficiency of the public and economic sector, infrastructure.

To assess the competitiveness of EU Member States, taking into account the IMD index, rankings for 2010 and 2020 published by the World Digital Competitiveness Ranking were used. Research results indicate that the countries that achieved the best results in the IMD ranking are also leaders in the competitiveness ranking based on GDP per capita published by the European Commission.
Dress Syndrome Without Cutaneous Manifestations
Authors: Le Mitchell , Behnke Brian , Scherback Dmitriy
Published: June 2022

DRESS Syndrome without cutaneous manifestation is a rare drug hypersensitivity reaction to memantine. This paper presents a case of drug hypersensitivity reaction to a drug rarely associated with such reactions, followed by a reminder to maintain elevated suspicion for hypersensitivity reactions in unexplained eosinophilia.
KIC 5768203: A δ Sct Pulsator Modulated by Rotation and Spots
Authors: Ma Shuguo , Ali Esamdin , Lv Chenglong , Wei Peng , Yang TaoZhi , Niu Hubiao , Nie Jundan , Liu Junhui , Zong Peng , Feng Guojie , Zhang Mengfan
Published: June 2022

We perform a detailed analysis of the Kepler target KIC 5768203 based on the Kepler and Transiting Exoplanet Survey Satellite (TESS) data. Three independent frequencies are detected by Fourier analysis of the Kepler long-cadence data: two pulsation frequencies f

P0 = 7.807874(2) day−1 and f

P1 = 9.970035(6) day−1, which have amplitudes below 1.4 mmag in the Kepler band, and one modulation frequency f
rot = 0.45813(1) day−1. Based on a period ratio of 0.7803, f

P0 and f

P1 are supposed to be radial frequencies. However, further confirmation is needed. Based on the triplets and phase variations of the two pulsation frequencies, the star is possibly a δ Sct pulsator in a binary system. The modulation frequency f
rot and its four harmonics could be attributed to the stellar rotation and surface spots. With the rotation frequency f
rot, the rotation velocity of the star is estimated to be 75(3) km s−1. By analyzing the phase diagram without pulsations, it is inferred that there are starspots (or clusters of starspots) of large area on the surface of KIC 5768203. These starspots are slowly evolving in position and brightness over the course of the Kepler long-cadence observations. The finding of the rotation frequency in the TESS data implies the long-term presence of starspots on the surface of KIC 5768203.
A CHEOPS Search for Massive, Long-period Companions to the Warm Jupiter K2-139 b
Authors: Smith Alexis M. S. , Csizmadia Szilárd
Published: June 2022

K2-139 b is a warm Jupiter with an orbital period of 28.4 days, but only three transits of this system have previously been observed–in the long-cadence mode of K2–limiting the precision with which the orbital period can be determined and future transits predicted. We report photometric observations of four transits of K2-139 b with ESA’s CHaracterising ExOPlanet Satellite (CHEOPS), conducted with the goal of measuring the orbital obliquity via spot-crossing events. We jointly fit these CHEOPS data alongside the three previously-published transits from the K2 mission, considerably increasing the precision of the ephemeris of K2-139 b. The transit times for this system can now be predicted for the next decade with a 1σ precision less than 10 minutes, compared to over one hour previously, allowing the efficient scheduling of observations with Ariel. We detect no significant deviation from a linear ephemeris, allowing us to exclude the presence of a massive outer planet orbiting with a period less than 150 days, or a brown dwarf with a period less than one year. We also determine the scaled semimajor axis, the impact parameter, and the stellar limb darkening with improved precision. This is driven by the shorter cadence of the CHEOPS observations compared to that of K2, and validates the subexposure technique used for analyzing long-cadence photometry. Finally, we note that the stellar spot configuration has changed from the epoch of the K2 observations; unlike the K2 transits, we detect no evidence of spot-crossing events in the CHEOPS data.
Interactive, Collaborative and Multi-user Augmented Reality Applications in Primary and Secondary Education. A Systematic Review
Authors: Masneri Stefano , Domínguez Ana , Zorrilla Mikel , Larrañaga Mikel , Arruarte Ana
Published: June 2022

Augmented reality is a technology that enhances human perception with additional, artificially generated sensory inputs. This creates new experiences enriching human vision by combining natural with digital elements. Augmented reality development dates back to the early sixties but it is only in the last decade, thanks to improvements to hardware and software, when it has begun to be rapidly incorporated in several fields, including education. This study presents a systematic review of the literature on the use of augmented reality applications in primary and secondary schools, with a specific focus on collaborative, multi-user and interactive applications. The aim of the study is to investigate the characteristics of such applications, the processes that led to their adoption, and their effectiveness in enhancing the learning experience. This study synthesises a set of 100 publications from 2015 to 2020 and performs a qualitative analysis of their content. The review describes the current state of the art in research in augmented reality for education and provides future research lines, as well as trends for the future of such applications in educational settings, analysing the relevance of the multi-user interaction challenge within the augmented reality ecosystem.
La symbiose chez les insectes : Umberto Pierantoni identifie les mycétomes de plusieurs espèces d’Homoptères (vers 1909-1913)
Authors: Perru Olivier
Published: June 2022

Umberto Pierantoni (1876-1959) fut celui qui, en 1909, découvrit l’organe de la symbiose chez les Homoptères, mettant un terme définitif aux extrapolations sur le « pseudovitellus » des Homoptères. En fait, l’organe symbiotique fut découvert pratiquement indépendamment par Karl Sùlc chez les cigales (en 1910) et par Pierantoni chez les Aphidiens et chez Pseudococcus citri . Cet organe de la symbiose, présent chez certains Homoptères, n’est pas encore très connu à l’époque, par son rôle dans la nutrition et la physiologie de l’insecte, mais on observe son développement progressif au cours de la croissance embryonnaire. Les symbiotes sont assimilés à des levures qui se regroupent et constituent de petites sphères à l’intérieur du plasma de chaque cellule animale. Ce n’est que vers 1918-1919 que Buchner découvrira que dans de nombreux cas, les levures présumées sont en réalité des bactéries symbiotiques. Mais la question essentielle est la question de l’origine et de la transmission des symbiotes. Les textes de Pierantoni donnent un des premiers témoignages sur la transmission héréditaire des symbiotes par voie maternelle chez les Coccidés.
Découverte d’un décor à la feuille d’aluminium datant du XIX e siècle à la cathédrale Saint-André de Bordeaux. Essai de datation par l’analyse pigmentaire
Authors: Etcheverry Marie-Pierre
Published: June 2022

La restauration de la chapelle Saint-Joseph de la cathédrale Saint-André de Bordeaux en 2013 a permis de redécouvrir des peintures murales polychromes datant du XIX e siècle avec un décor de quadrilobes « argentés » que les encrassements et la fumée des cierges avaient noircis. Dans le cadre des travaux alors financés par la DRAC Aquitaine, quelques prélèvements ont été effectués afin de déterminer la nature des constituants de ce décor. Leur étude révèle la présence singulière et inattendue de motifs récurrents à la feuille d’aluminium. Les quelques indications chronologiques issues de l’analyse pigmentaire, et l’attrait que l’on semble avoir manifesté à l’époque pour les matériaux à la pointe du progrès technique, nous autorisent à émettre l’hypothèse que cet ensemble polychrome a vraisemblablement été exécuté entre 1860 et 1874. Il s’agirait à ce jour du tout premier exemple connu de mise en œuvre de la feuille d’aluminium dans les arts décoratifs.
Sanctions scolaires et sentiments d’injustice des élèves
Authors: Grimault-Leprince Agnès , Merle Pierre , Voirnesson Bruno
Published: June 2022

L’objet de cet article est d’étudier les liens entre les sanctions scolaires et les sentiments d’injustice des élèves. Ces liens ont été examinés à partir d’une enquête par questionnaire menée auprès de 1 651 collégiens scolarisés dans des classes de cinquième et troisième de neuf établissements au profil social diversifié. Les analyses statistiques réalisées montrent que des variables contextuelles (fréquence et gravité des sanctions scolaires, contestations parentales et composition sociale des établissements) expliquent de façon centrale les sentiments d’injustice des élèves, alors que les caractéristiques individuelles de ces derniers sont en revanche peu explicatives ou ont des effets inattendus compte tenu des recherches sur l’expérience scolaire. Ce constat autorise in fine des considérations de type réglementaire et pédagogique relatives à la construction de l’ordre scolaire.
Liberté et créativité
Authors: Legenne Myriam , Zielinski Agata , Mauri Hélène , Milewski Valéria
Published: June 2022

Comment laisser encore l’espace à la créativité quand on se sent vide et qu’on fait l’expérience existentielle de manquer à soi-même ou de manquer de tout ? Est-ce encore possible d’entrer dans la créativité quand on fait l’expérience de la désubjectivation ? La possibilité du rêve et de l’imagination peut remobiliser le désir, y compris chez des personnes complètement empêchées. Ne sommes-nous pas invités à durer, y compris face à l’absurde ou à l’absurdité qu’éprouvent parfois les patients ?
Est-il possible de choisir librement son agonie ?
Authors: Humbert Blandine
Published: June 2022

Deux réponses s’offrent à nous de façon intuitive. Oui ! En donnant cette réponse de façon quasiment immédiate, on s’immerge alors dans la redoutable question des attitudes que l’on peut choisir, en tant qu’homme, face à la mort. Non ! Nous nous situons dans une réflexion qui porte sur la condition humaine et sur le fait que l’homme est soumis à une nécessité biologique et une passivité, une pauvreté ontologique. Est-il possible de retravailler ces deux niveaux et de les faire s’accorder ?
Liberté et consentement
Authors: Leguil Clotilde
Published: June 2022

L’enjeu pour le sujet qui parle n’est pas tant : « comment devenir libre ? » mais « comment savoir quel est mon désir ? », dès lors que ce désir est comme écrasé par ce que j’attends de l’Autre. Il est alors question de consentir à déchiffrer le sens inconscient de sa destinée, si l’on veut pouvoir s’en dégager et vivre son existence sans sacrifier ce désir.
Juger l’employabilité des chômeurs handicapés à travers le prisme d’une logique de performance
Authors: Dessein Sophie
Published: June 2022

L’article explore les conséquences du management par le chiffre et la performance sur l’accompagnement des chômeurs en situation de handicap. Il prend appui sur une enquête menée entre 2014 et 2017 au sein du service public Cap emploi, déployé par des associations et dédié aux demandeurs d’emploi ayant une reconnaissance administrative de handicap. La complémentarité des méthodes ethnographiques et statistiques permet de montrer comment la logique gestionnaire, guidée par des indicateurs de performance et des obligations de résultats, astreint les conseillers à accompagner les chômeurs en évaluant leur « employabilité » conformément à des critères de satisfaction des employeurs. Le handicap est réinterprété à l’aune de ces critères, aboutissant à une hiérarchisation des types de handicaps selon des « préjugements d’employabilité » associés à chacun d’entre eux. Les conséquences de la logique gestionnaire s’observent notamment au niveau du tri des chômeurs autorisés ou non à poursuivre leur accompagnement à l’entrée de Cap emploi, au cours duquel la variable du handicap s’avère déterminante, en complément des critères d’âge et de diplôme. L’article témoigne plus largement de la difficile conciliation entre personnalisation des politiques sociales et logique de performance chiffrée dans les services publics.
Coupled effects of channels and synaptic dynamics in stochastic modelling of healthy and Parkinson's-disease-affected brains
Authors: Thieu Thi Kim Thoa , Melnik Roderick
Published: June 2022

Our brain is a complex information processing network in which the nervous system receives information from the environment to quickly react to incoming events or learns from experience to sharp our memory. In the nervous system, the brain states translate collective activities of neurons interconnected via synaptic connections. In this paper, we study coupled effects of channels and synaptic dynamics under the stochastic influence of healthy brain cells with applications to Parkinson's disease (PD). In particular, we investigate the effects of random inputs in a subthalamic nucleus (STN) cell membrane potential model. The STN bursting phenomena and parkinsonian hypokinetic motor symptoms are closely connected, as electrical and chemical maneuvers modulating STN bursts are sufficient to ameliorate or mimic parkinsonian motor deficits. Deep brain stimulation (DBS) of the STN is an important surgical technique used in the treatment to improve PD symptoms. Our numerical results show that the random inputs strongly affect the spiking activities of the STN neuron not only in the case of healthy cells but also in the case of PD cells in the presence of DBS treatment. Specifically, the existence of a random refractory period together with random input current in the system may substantially influence an increased irregularity of spike trains of the output neurons.
Fast hybrid explicit group methods for solving 2D fractional advection-diffusion equation
Authors: Salama Fouad Mohammad , Hamid Nur Nadiah Abd , Ali Umair , Ali Norhashidah Hj. Mohd
Published: June 2022

In recent years, fractional partial differential equations (FPDEs) have been viewed as powerful mathematical tools for describing ample phenomena in various scientific disciplines and have been extensively researched. In this article, the hybrid explicit group (HEG) method and the modified hybrid explicit group (MHEG) method are proposed to solve the 2D advection-diffusion problem involving fractional-order derivative of Caputo-type in the temporal direction. The considered problem models transport processes occurring in real-world complex systems. The hybrid grouping methods are developed based upon a Laplace transformation technique with a pair of explicit group finite difference approximations constructed on different grid spacings. The proposed methods are beneficial in reducing the computational burden resulting from the nonlocality of fractional-order differential operator. The theoretical investigation of stability and convergence properties is conducted by utilizing the matrix norm analysis. The improved performance of the proposed methods against a recent competitive method in terms of central processing unit (CPU) time, iterations number and computational cost is illustrated by several numerical experiments.
Fractional modeling of COVID-19 pandemic model with real data from Pakistan under the ABC operator
Authors: Zarin Rahat , Khan Amir , Aurangzeb  , Akgül Ali , Akgül Esra Karatas , Humphries Usa Wannasingha
Published: June 2022

In this study, the COVID-19 epidemic model is established by incorporating quarantine and isolation compartments with Mittag-Leffler kernel. The existence and uniqueness of the solutions for the proposed fractional model are obtained. The basic reproduction number, equilibrium points, and stability analysis of the COVID-19 model are derived. Sensitivity analysis is carried out to elaborate the influential parameters upon basic reproduction number. It is obtained that the disease transmission parameter is the most dominant parameter upon basic reproduction number. A convergent iterative scheme is taken into account to simulate the dynamical behavior of the system. We estimate the values of variables with the help of the least square curve fitting tool for the COVID-19 cases in Pakistan from 04 March to May 10, 2020, by using MATLAB.
Solvability of the Sylvester equation $ AX-XB = C $ under left semi-tensor product
Authors: Wang Naiwen
Published: June 2022

This paper investigates the solvability of the Sylvester matrix equation $ AX-XB = C $ with respect to left semi-tensor product. Firstly, we discuss the matrix-vector equation $ AX-XB = C $ under semi-tensor product. A necessary and sufficient condition for the solvability of the matrix-vector equation and specific solving methods are studied and given. Based on this, the solvability of the matrix equation $ AX-XB = C $ under left semi-tensor product is discussed. Finally, several examples are presented to illustrate the efficiency of the results.
Do speakers converge rhythmically? A study on segmental timing properties of Grison and Zurich German before and after dialogical interactions
Authors: Pellegrino Elisa , Schwab Sandra , Dellwo Volker
Published: June 2022

This paper reports on the results of a research investigating whether rhythmic features, in terms of segmental timing properties, are object of speaker’s adjustments after the exposure to a conversational partner. In the context of dialects in contact, this is crucial to understand whether rhythmic attributes may bring about language variation and change. In the context of human-machine interactions, this can benefit the design of spoken dialogues systems to achieve human-likeness. To study rhythmic accommodation, we selected a corpus of pre- and post-dialogue recordings, performed by 18 speakers of Grison and Zurich German (henceforth GRG and ZHG), two Swiss German dialects characterised by noticeable segmental and supra-segmental differences. To quantify rhythmic convergence, we designed three measures based on the segmental timing differences between the two dialects. We compared the Euclidean distances in the three measures between GRG and ZHG speakers in a pair before and after two interactions. Results reveal that dyads members do not significantly shift the production of segmental timing features after the dialogues. Neither linguistic nor social factors can account for the observed accommodation pattern. Cross-dialectal segmental timing differences, captured by the three ratio measures, may be either robust against the influence of interlocutors’ acoustic behaviour or too subtle to be perceived or retained after interactions.
Deep Neural Network Model for Automated Detection of Alzheimer’s Disease using EEG Signals
Authors: Deshmukh Atharva , Karki Maya , S R Bhuvan , S Gaurav , JP Hitesh
Published: June 2022

Our brain is our body’s control centre and is essential for proper functioning of the body. Alzheimer’s disease is a chronic neurodegenerative disease that affects the cerebral cortex of the brain and causes memory loss and loss of cognitive thinking. EEG (Electroencephalography) is a method of recording neurological electrical activity with electrodes. It was chosen as it is a simple, painless procedure. This paper suggests an automated and accurate algorithm for the detection of Alzheimer's Disease using EEG signals with a combination of Signal processing and Deep Learning Methods. Concepts like Butterworth filters, DWT, statistical parameters, Data Augmentation and CNN were used in order to achieve a classification algorithm with high accuracy. A total highest  system  accuracy of 97.61% was achieved.
The Evolution of Ergonomics Risk Assessment Method to Prevent Work-Related Musculoskeletal Disorders (WMSDS)
Authors: Mohamad Rashid Mohamad Rawan  , Mohd Amran Mohd Daril  , Mohamad Ikbar Abdul Wahab  , Khairanum Subari  , Qarna Manan  , Shazia Parveen
Published: June 2022

In the last few decades, numerous of ergonomics risk assessment method was developed. These method was developed to prevent work-related musculoskeletal disorders or WMSDs among the workers. Although there is variety of methods was available to identify the present of WMSDs but the accuracy of the measurements is based on the methods applications and limitations. Due to the complexity of factors such as inhomogeneity of the working activities, the sophisticated of measurement process, the diversity of cultures, incapable to accesses various body posture, and others problem that remain unsolved, the evolution of ergonomics risk assessment methods was never ended. To react with the demanding related with the WMSDs problems, ergonomics risk assessment methods become more advance in technologies.

Parallel with the upcoming challenges of industry revolution 4.0, ergonomics risk assessment methods need to be transformed and adapted with the advance technology-based methods. The industries already to step ahead and starting to represent their production activities using robotics technologies, artificial intelligence (AI), biotechnology, and super-computer technologies. Therefore, ergonomics committee and practitioner should realize the opportunities and developed new ergonomics risk assessment method that integrated with the technologies. They need to be more accessible, understood, visionary, and modernize. The evolution of ergonomics risk assessment methods must be continuing and not rely with the traditional approach only.
A Robust Classification Approach for Character Detection Using P300-Based Brain-Computer Interface
Authors: Mehta Deepthi Hitesh , Sarin Mohit , Shukla Praveen Kumar , Verma Shrish , Chaurasiya Rahul Kumar
Published: June 2022

Researchers have been contributing to the brain-computer interface (BCI), which acts as a direct connection between the human brain and the computer that uses the P300 speller paradigm to decode the response of the brain by stimulating a subject, involving no muscular movements. This research uses BCI Competition III Dataset II, which uses a 6x6 character matrix paradigm for data collection purposes for two healthy subjects. The ensembles of support vector machine (SVM) method of classification has been proposed to surpass the problem of false detection, which is preceded by empirical mode decomposition (EMD) as the preprocessing technique and the use of a stacked autoencoder for feature extraction and covariate shift adaptation by normalized principal components as the feature selection method for better accuracy of the detected character. The experiment yields a better result than many existing methods; it produces an average accuracy of 98.75%.
Deep Learning-Based Approach to Detect Leukemia, Lymphoma, and Multiple Myeloma in Bone Marrow
Authors: U. Janasruti , S. Kavya , A. Merwin , Rangasamy Vanithamani
Published: June 2022

Bone marrow cancer is one of the life-threatening diseases which may cause death to many individuals. Leukemia, lymphoma, multiple myeloma, and other cancers that form in the blood-forming stem cells of the bone marrow constitute bone marrow cancer. Early detection can increase the chance for remission. Accurate and rapid segmentation techniques can assist physicians to identify diseases and provide better treatment at the right time. CAD systems can be useful for the early discovery of bone marrow cancer. It features the latest updated algorithm that combines deep learning with MATLAB for health assessment. This can assist in the early detection of leukemia, lymphoma, and multiple myeloma. For denoising histopathological images, new K-SVD and fast non-local mean filter algorithms are employed. For pre-processing, algorithms like multilayer perceptron and novel hybrid histogram-based soft covering rough k-means clustering techniques are employed. Three classifiers, namely R-CNN, ResNet 50, and LSTM, are used to classify, and the performance is compared based on the accuracy.
LiNi0.7Mn0.3O2 as a Cheap Cobalt Free Nickel Rich Cathode Material for High-Performance Li-Ion Batteries
Authors: Arinawati Meidiana , Hutama Anjas Prasetya , Paramitha Tika
Published: June 2022

A high-quality Lithium Nickel Manganese Oxide (LiNi0.7Mn0.3O2) material is successfully synthesized via co-precipitation. The precursors for lithium rechargeable batteries have been prepared using starting materials (NiCl2.6H2O and MnSO4.H2O) with precipitating agents of oxalic acid and sodium hydroxide, Ethylene diamine tetra acetic (EDTA) and sodium hydroxide, and sodium carbonate for oxalate co-precipitation, hydroxide co-precipitation, and carbonate co-precipitation, respectively. Then, the precursors were calcined at 500°C for 5 hours, mixed with Li2CO3, and sintered at 850°C for 15 hours under oxygen. X-ray Diffraction (XRD) analysis results show that the particles obtained by oxalate co-precipitation (LiNi0.7Mn0.3O2-C2O4) have higher crystallinity and more uniform particle shape than hydroxide co-precipitation and carbonate co-precipitation. The Fourier Transform Infrared (FTIR) spectroscopy characterization shows no carbonate group peak in the LiNi0.7Mn0.3O2-C2O4. Furthermore, electrochemical tests were analyzed by evaluating the charge/discharge curves and cycling performance. The highest specific discharge capacity of 122 mAh/g was achieved by the LiNi0.7Mn0.3O2-C2O4 sample, which also had a low capacity loss (22.7%), retaining 89.9% of its initial specific capacity at 0.5C between 2.5 and 4.25 V after 45 cycles. Based on these results, a cheap cobalt-free cathode material is promising for a new commercialized Li-ion battery.
Effects of Alloying Elements and Temperature on Thermodynamic State and Microstructure of Piston Aluminum Alloy
Authors: Tang Jin Jun , Liang Cui , Xu Chen Guang
Published: June 2022

Taking high power density M142 piston aluminum alloy as the main research object, this paper studies the changes of element contents such as Si, Fe and Cu, as well as the effects on the precipitation strengthening phase sequence, type and phase transformation. Based on the phase diagram and thermodynamic calculation results of multicomponent alloys between different elements, the phase transformation in the solidification process of the alloy, as well as the temperature and composition window of each phase transformation were studied. Especially in alloys ε Phase (Al3Ni), δ Phase (Al3CuNi), and γ phase (Al7Cu4Ni). The thermodynamic conditions for the formation of nickel rich heat-resistant phases. At the same time, the effects of the contents of Cu, Fe and other elements on the solidification structure were studied. The optimum composition, temperature, pressure and other process parameters of the alloy were optimized. At the same time, it is analyzed and verified in combination with relevant metallographic photos to deeply understand and master the composition design and preparation process of the alloy.
Silicone for Lithium-Ion Battery Anode Derived from Geothermal Waste Silica through Magnesiothermic Reduction and Double Stages in Acid Leaching
Authors: Silviana Silviana , Ma'ruf Amar , Dalanta Febio
Published: June 2022

The utilization of geothermal silica as the silica source to synthesize silicone as lithium-ion battery anode component was comprehensively studied. Silicone conversion was performed using magnesiothermic reduction at a temperature of 650 °C for 7 h. The applied Mg:SiO2 mole ratio on magnesiothermic reduction were 1.6:1, 2:1, and 2.5:1. The purification treatments of silicone product were conducted using two stages of acid leaching using HCl and a mixture of HF and acetic acid. In lithium-ion battery anode preparation, the ratio of Si to graphite employed 100:0; 90:10; 50:50; 10:90; and 0:100. The best yield and the conversion of silicone were 26.46% for the yield and 85.60% for the conversion by using 2:1 of Mg:SiO2 ratio. In the purification treatments, silicone yield of 29.45% with silicone purity of 58.9% was achieved using HCl, and silicone yield of 25.97% with silicone purity of 98% was achieved by using mixed solution of HF and acetic acid. The best battery performance in term of specific capacity was found by applying Si:graphite ratio of 100:0 with the value of first cycle of 358.5 mAh/g in this research. These findings present the reliability and feasibility of the geothermal solid waste and acid leaching treatments to generate the high quality of silicone for lithium-ion battery anode component.
Causes of Injection Mould Insert Block Damage
Authors: Pavloušková Zina , Klakurková Lenka , Juliš Martin , Gejdoš Pavel , Švejcar Jiří
Published: June 2022

The paper deals with analysing the causes of damage to the injection mould insert block to produce plastic parts. Mould insert block material has been declared as alloy tool steel for hot working 1.2344 (X40CrMoV5-1). Part of the analysis is also evaluating an attempt to repair a damaged block using welding methods temporarily. However, there was an intense cracking of the welded joint already during the welding process. Therefore, a non-destructive capillary test was used to analyse surface defects. Complex material analysis of the mould insert block was performed using light and electron microscopy methods, the chemical composition was determined based on optical emission spectrometry.
Research on Feeding System of Open-Source-FDM Printers to Improve the Quality of 3D Printed Products from Flexible Materials
Authors: Huynh Huu Nghi , Le Tan Huy , Tran Nguyen Huu Hoang , Bui Trong Hieu
Published: June 2022

FDM (Fused Deposition Modeling) technology, with outstanding advantages, has been increasingly applied in the fields of processing and manufacturing industry - a field with high demand for product quality. Feed system and technology parameters are one of the important factors directly affecting the product quality of FDM technology in particular and material extruding technology in general, especially when using soft, flexible materials such as TPU (Thermoplastic polyurethanes) and PVA (Polyvinyl Alcohol). The purpose of this paper is to study the optimization of technology parameters for open source 3D printers to improve product quality of accuracy, surface roughness and shorten fabrication time when using these materials. Through the experimental process, on the self-designed and fabricated feeding cluster, the authors have identified the optimal set of parameters for the set goal. The team's next research direction is to continue to expand the material used, improving the mechanical durability of the product.
Synthesis of Lithium Titanium Oxide (Li4Ti5O12) through Sol-Gel Method and the Effect of Graphene Addition in Lithium-Ion Battery Anodes
Authors: Abiyu Fawwaz Taqi , Pravitasari Retna Deca , Tasomara Riesma , Hapsari Ade Utami , Rahayu Sri , Damisih  , Yuliani Hanif , Arjasa Oka Pradipta , Herdianto Nendar , Deni Yelvia , Syarial Anne Zulfia , Raharjo Jarot
Published: June 2022

Li4Ti5O12 (lithium titanium oxide) or LTO is extensively utilized as active material in Li-ion battery anode mainly due to its zero strain properties and excellent lithium-ion intercalation/deintercalation reversibility with negligible volumetric change. However, LTO is still faced with low electronic conductivity problem, thus the addition of another material such as graphene is necessary to overcome. In this study, LTO was synthesized using sol-gel method with addition of Li varied from 35, 40 and 55 wt% which was controlled by addition of Li2CO3. XRD analysis was performed to investigate the crystal structure and phase characteristic of synthesized powder. The results revealed that LTO with addition of 55 wt% Li exhibited the highest purity of Li4Ti5O12 phase of 97.7%. It was then added with 5 wt% of graphene. Two-coin cells of Li-ion batteries were made from LTO powders without and with graphene addition as active materials for anode and their electrochemical performances were analyzed. LTO without and with graphene show conductivity of 3.40710-5 and 2.48810-5 S/cm, while obtained specific capacity was about 140 mAH and 85 mAh, respectively. This would require further optimization for current experimental condition particularly on graphene addition.
Economical Hydrometallurgical Routes for LiFePO4/C Cathode Materials Fabrication
Authors: Harjanti Risma Mei Dwi , Habibah Nurul , Hutama Anjas Prasetya , Yudha Cornelius Satria , Fuady Muhammad Iqbal Al
Published: June 2022

Li ion battery or LIB is an energy storage device that provides and store electrical energy and chemical energy, respectively. LIBs have been widely developed in the energy sector owing to their considerable high energy density, high capacity, and long-life cycle. In this study, the LiFePO4/C cathode was synthesized from various precursors FeC2O4, FePO4, Fe3(PO4)2, Fe2O3 obtained via co-precipitation method, and continued with solid-state. The effects of precursors were studied in this study. The precursor and the resulting product were analyzed using XRD, FTIR, SEM, and EDX, while the electrochemical performance was tested using charge-discharge, cycle stability and rate capability. All precursors were successfully synthesized as evidenced by XRD, FTIR, SEM, and EDX characterization tests. Based on electrochemical performance test, the highest capacity that can be achieved is 109 mAh/g obtained from LFP with FeC2O4 precursor, with a reduction in capacity of 54.7% after 50 cycles.
Evidence-based imaging for the management of lower back pain in the emergency department: A narrative review
Authors: Akkihal Kartik , Adams Edy C. , Khan Soman , Jafri Faraz , Taboada Jorge , Varkey Thomas
Published: June 2022

Patients often present to the emergency department with nonspecific complaints of lumbar back pain. Because of the nature of the emergency department, the lack of knowledge or time on the part of providers, and the high levels of quick decision making, unnecessary imaging studies are often ordered to provide care for the patient’s emotional and perceived physical needs. This narrative review will present a hypothetical typical standardized case of a patient presenting with lower back pain, examine the current evidence and recommendations from the major ruling bodies in internal medicine, neurology, neurosurgery, and radiology, evaluate the major statements released by the Choosing Wisely campaign, and finally, present a new diagnostic decision tree for the management of lumbar back pain.
An unexpected turn of events: A rare case of Acquired Haemophilia A after a violin spider bite
Authors: Zattera Caterina , Luly Simona , Cipriano Alessandro , Rizzelli Grazia Maria Luisa , Cecconi Nadia , Santini Massimo
Published: June 2022

We report an interesting clinical case of Acquired Haemophilia A (AHA) after a probable Loxosceles rufescens spider bite in a 73- year-old woman, admitted to an Emergency Department (ED) of Central Italy during April 2019. AHA is a rare disease, whose acute clinical manifestations are not widely known by most ED physicians; its prompt recognition and treatment are crucial to avoid fatal bleeding. In particular, the development of AHA after a violin spider bite (another rare and poorly characterized clinical condition) has never been described. Therefore, our case report could provide useful insight into the understanding and treatment of such unusual and possibly life-threatening conditions.
Management of acute behavioral disturbance in the Emergency Department: An Italian position paper from AcEMC, CNI-SPDC, SIP-Lo, SITOX
Authors: Paolillo Ciro , Casagranda Ivo , Perlini Stefano , Bondi Emi , Fraticelli Carlo , Cerveri Giancarlo , Pavone Fabrizio , Lonati Davide , Petrolini Valeria Margherita , Locatelli Carlo Alessandro , Lerza Roberto
Published: June 2022

The phenomenon of acute behavioral disturbance is an underrecognized and potentially life-threatening syndrome, and sometimes an emergency in psychiatric settings. Patients presenting to the Italian emergency department (ED) with acute behavioral disturbances account for approximately 3.2% of all ED visits. The  spectrum of behaviors and signs overlap with many clinical disease processes. In addition to patients with behavioral problems related to mental disorders or substance abuse, there is also a large group whose behavioral emergencies directly result from medical illness. The complexity of these patients, as well as the interdisciplinary nature of their care, requires a clear and consensual framework for care. A network of Italian scientific societies developed ten reccomendations for good clinical practice. The main purpose is to draw up a  document  that presents a standardized method for the organization of the care  of patients with acute behavioral disorders in ED
LAND GRABBING E CONFLITTI INTERNI: LE ACQUISIZIONI DI TERRA SU LARGA SCALA COME FATTORE DI INSTABILITÀ DELLO STATO
Authors: Lombardoni Cristina
Published: June 2022

Non disponibile.
GOVERNO E GOVERNABILITÀ NEL DIBATTITO POLITICO-PARLAMENTARE SULLE RIFORME (1975-1988)
Authors: Landoni Enrico
Published: June 2022

Non disponibile.
LO STATO SOCIALE. STORIA, POLITICA, ECONOMIA: UNA NOTA
Authors: Targetti Lenti Renata
Published: June 2022

Non disponibile.
L’albero dei diritti e dei doveri umani / La risposta alla crisi ambientale. Una Governance Globale
Authors: Cordini Giovanni
Published: June 2022

Non disponibile.
COVID-19 and Anemia in Children with Nephrotic Syndrome
Authors: Qader Md Abdul , Sultana Azmeri , ul Quader Mohammed Maruf , Rumana Jubaida , Khondaker Tarannum , Kanon Naito , Hanif Mohammed
Published: June 2022

Context:

Children with COVID-19 present with less severe disease and require fewer hospitalizations than adults. Our previous study on children with renal disease and COVID-19, which included predominantly children with nephrotic syndrome, found anemia in a significant number of participants.

Aims:

This study aimed at evaluating the risk factors of anemia in children with nephrotic syndrome presenting with COVID-19 and the influence of anemia on hospital outcome.

Methods:

This case–control study was conducted at five pediatric nephrology centers in two major cities of Bangladesh. Consecutive patients with nephrotic syndrome and positive polymerase chain reaction (PCR) for severe acute respiratory syndrome coronavirus 2 were included as cases, and subsequently, two cases of nephrotic syndrome with negative PCR were enrolled as controls. Participants who presented between April 2020 and December 2020 were included, and demographic data, clinical features, and laboratory parameters were retrieved from hospital records for analysis.

Results:

A total of 22 children with nephrotic syndrome were positive with COVID-19 and subsequently, 44 children were included as control. The median age was 6.4 years in the cases and 5.2 years among the control. Most children presented with the initial episode of nephrotic syndrome. The children in the case group had a significantly lower hemoglobin level than the controls, and anemia was associated with raised inflammatory markers. In multivariate analysis, female sex and impaired renal function was associated with lower hemoglobin, but anemia did not have effect on hospital outcome.

Conclusions:

Anemia in children can be multifactorial. Anemia in nephrotic syndrome associated with COVID-19 does not appear to influence length of hospital stay and outcome.
Nutrition Assessment Tools in Children with Chronic Kidney Disease
Authors: Iyengar Arpana
Published: June 2022

Children with chronic kidney disease (CKD) are vulnerable to undernutrition and its accompanying consequences. Assessment of nutrition in these children is confounded by the presence of edema and overhydration. There is no single measure that can comprehensively reflect the underlying nutrition status. Hence, there is a need to explore nutrition assessment tools that reflect body composition without being affected by hydration status. Many tools of assessment that are widely studied in adults with CKD get extrapolated to children. Studies on nutritional assessment focusing on pediatric patients with CKD are needed for early recognition and long-term monitoring of nutrition status. This review attempts to provide an understanding of the utility and limitations of tools available for assessment of nutrition and body composition in the context of undernutrition in pediatric CKD.
Cantu and Alport Syndrome in a Young Girl
Authors: Wai Chi San , Ma Lap Tak Alison , Lee Lai Ka , Luk Ho Ming , Lau Wai Ling
Published: June 2022

We report a 9-year-old girl with nephritis, dysmorphism, and short stature. She was diagnosed to have Cantu syndrome and Alport syndrome by whole-exome sequencing. Diagnosis of patients with two or more syndromes is challenging due to blended phenotypes. This case illustrates the clinical utility of exome testing in patients with medical complexity.
An overview of the oral primary preventive measures at public/community level in India
Authors: Vaghela Nilima
Published: June 2022

Due importance is given to the primary level of prevention where the action is taken before the onset of the disease so that the disease exists no longer. Oral diseases are a major public health problem, and their burden is on increase in many low- and middle-income countries. Dental public health (DPH) aims to improve the oral health of the population through preventive and curative services. However, its achievements in India are being questioned probably because of lack of proficiency and skill among personnel. The present review study focuses on some of the important aspects relating to oral primary preventive measures at public/community level in India such as priority for oral health, DPH workforce and curriculum, and utilization of DPH personnel in providing primary oral health care. It was concluded that more attention should be given toward preventive oral health care by employing more number of dentists in public sector, strengthening DPH education and research, and combining oral health programs with general health-care programs.
Comparative evaluation of the antimicrobial activity of various concentrations of nonalcoholic extracts of crude coconut shell oil, orange peel, and mango leaf with that of xylitol on Streptococcus mutans and Candida albicans
Authors: Peter Joby , Kumar R. Krishna , Vijai S. , Augustin Melvin , Anaswara M. S. , Ajaykumar Ambili
Published: June 2022

Background:

The use of plant extracts, as well as other alternative forms of medical treatments, is enjoying great popularity since late 1990s. Scientists from all over the have found literally thousands of phytochemicals which have inhibitory effects on all types of microorganisms in vitro. Moreover, there are the reports of potential hazards and microbial resistance against the commonly used antibiotics.

Aim:

The objective of this study is to evaluate the antimicrobial effect of various concentrations of nonalcoholic extracts of crude coconut shell oil, orange peel, and mango leaf with that of xylitol on Streptococcus mutans and Candida albicans.

Materials and Methods:

Microbial strains were procured and revived on nutrient agar media. Coconut shell oil extract was prepared by heating ground shell in an earth pot for 3 h. Mango leaf extract was collected by powdering them using a blender and water extracts were prepared using agitation method. Orange peel extract was collected from the fresh peels of oranges which was pureed in a blender. The puree was subjected to hydrodistillation. The oil was separated. 10 g of Xylitol was dissolved in 10 ml of distilled water for base extract. 25%, 50%, 100%, and 200% dilutions of the extracts and xylitol were prepared. The susceptibility of the oral pathogens was determined by the well diffusion method. The extracts were pipetted into the wells and then incubated at 37°C overnight. After overnight incubation, the diameter of the clear zone produced was measured in cm.

Minimum inhibitory concentration (MIC) of the extracts was evaluated by the microdilution method. Serial dilutions of the extracts and xylitol were added to the wells prepared in the agar plate along with nutrient broth and culture. The plates were placed in an incubator at 37°C for 24 h. The absence of turbidity in the wells was recorded as MIC.

Results:

Highest zone of inhibition was recorded for coconut shell extract against both the test organisms followed by Xylitol. Mango leaf extract and orange peel extract could not demonstrate statistically significant results. The inhibitory effect increased with increasing concentration. MIC of coconut shell extract against C. albicans and S. mutans was found out to be 37.5 mg and 25 mg, respectively.

Conclusion:

Based on the results of the study, it may be concluded that antibacterial and antifungal effect of nonalcoholic extracts of crude coconut shell extract is more when compared to mango leaf, orange peel, and xylitol. Mango leaf and orange peel extracts showed minimum activity.
Customized Ayurveda approaches in modulating brain injury
Authors: Nithin S. A. , Belaguli Govardhan , Mohan Kavya
Published: June 2022

Cerebrovascular stroke is the most common source of neurological debility in the present adult population worldwide. Its manifestation, symptoms, and pathogenesis can be understood with Pakshaghata (~cerebrovascular stroke) in Ayurvedic parlance. This can be managed through Ayurveda principles with appropriate Panchakarma procedures and oral medications. A case of 23-year-old male who was diagnosed with sudden severe stroke of totally dependent and severe disability with intracranial acute hematoma and hemorrhagic abnormalities was successfully treated with planned Ayurveda interventions. Significant improvement in the degree of disability was found and the interventions modulated him into partially dependent and moderate disability. The minimal strategic intervention used resulted in the significant recovery in overall quality of life. Consequently, the study validates that the treatment planned with Ayurveda principles along with suitable Panchakarma therapies and oral medications has a potential role in the management of Pakshaghata.