bluuebunny/crossref_metadata_2025 huggingface dataset:
Formulation, Evaluation of Physical Properties, and In Vitro Antioxidant Activity Test of Moringa Leaf (Moringa oleifera L.) Ethanolic Extract Capsules
Authors: Fatmawati Annisa , Sucianingsih Depita , Riswan Revalina , Emelda Emelda , Kusumawardhani Nurul , Fauzi Rizal , Estiningsih Daru , Munir Muhammad Abdurrahman , Yansiani Marisa , Hadi Hamam , Matsuzaki Mika
Published: April 2022

BACKGROUND: Supplements that contain antioxidants may enhance prevention and treatment effects of a wide range of diseases including COVID-19. Quercetin, a flavonoid compound, is a natural antioxidant that can neutralize free radicals. The current study was conducted to formulate Moringa leaf (Moringa oleifera L) ethanol extract capsules and to determine the quercetin antioxidant activity levels of Moringa ethanol extract capsule formulations. 
MATERIALS AND METHODS: We tested the total flavonoid levels in solutions with concentrations of 20, 50, 60, 70 and 100 ppm using Thin Layer Chromatography Densitometric method. Evaluation of physical properties of 96% Moringa leaf ethanol extract capsules included moisture content test, granule angle of repose test, granule flow property test, capsule weight uniformity test and capsule disintegration time test. Antioxidant activity test using the DPPH method with two samples, namely 96% Moringa leaf ethanol extract capsules with formulas I, II, III, quercetin as a comparison. 
RESULT: The results of the evaluation of 96% Moringa leaf ethanol extract capsules showed that formula II (PVP 50 mg) had good physical properties. Testing the antioxidant activity of capsules of ethanol extract of Moringa leaves formulas I, II, III, quercetin obtained IC50 values of 44.0 ppm, 40.2 ppm, 46.4 ppm, and 4.80 ppm, respectively. 
CONCLUSION: The evaluation of the ethanol extract capsules of Moringa leaf formula II, met the parameters of a good capsule evaluation test requirement and had very strong antioxidant activity seen from the acquisition of the IC50 value. The antioxidant properties of Moringa leaf extract capsules may be able to improve the immune system and clinical trials need to be carried out on patients to become candidates for prevention and therapeutic supplement fora range of diseases including COVID-19.
The Experience of Chronic Sorrow among Indonesian Mothers Who have Suffered Recent Perinatal Loss
Authors: Samutri Erni , Widyawati Widyawati , Nisman Wenny Artanty , Gittelsohn Joel , Hadi Hamam , Lewis Emma C. , Endriyani Lia , Indrayana Sofyan , Afita Artha Mevia Ruly
Published: April 2022

Background: Perinatal death results in physical loss of a child as well as symbolic loss (loss of self, hope and self-esteem) experienced by many parents. Loss is often expressed via a grief response that can develop into chronic sorrow. Ineffective coping strategies may increase susceptibility to complications associated with chronic sorrow. These complications can include clinical depression, dysthymic disorder, post-traumatic stress disorder, attachment disorder, drug dependence, psychosis, and suicidal ideation. Therefore, it is crucial to understand the barriers and facilitators to chronic sorrow particularly among vulnerable populations.   Aim: To explore the experience of chronic sorrow among Indonesian women who have suffered perinatal loss.  Methods: The present qualitative study utilized a descriptive phenomenological approach. Participants included women who experienced chronic sorrow due to perinatal loss within the past seven weeks to three years. Maximum variation sampling was used based on women’s current number of children. Data were collected using semi-structured interviews and analyzed using a modified Stevick-Colaizzi-Keen method.   Results: Three key themes emerged from the data: (1) recurrent experiences of grief are common particularly when exposed to certain triggers (memories from pregnancy, mementos); (2) adequate coping strategies and emotional support are needed to help treat grief; and (3) specific characteristics of chronic sorrow are associated with perinatal loss, such as grief that feels diminished and the presence of another child serving as both a cure and a trigger of sorrow.  Conclusion: Chronic sorrow as a result of perinatal loss is experienced repeatedly when mothers face certain triggers. We have identified two characteristics (diminished grief, having another child serve to both cure and trigger sorrow) that are specific to the experience of chronic sorrow compared to that of general grief. It is important to understand the experience of chronic sorrow and how coping strategies and a support system can help grieving mothers to overcome their loss.
Another one bites the dust: pollutants and pesticides in Garden Dormice found dead
Authors: Famira-Parcsetich Eva Marie , Schanzer Sonja , Müller Christoph , Schenke Detlef , Lierz Michael , Lang Johannes
Published: April 2022

Persistent organic pollutants, pesticides and biocides have a harmful impact on biological diversity. Besides short-term toxic effects on directly exposed organisms, they can have long-term effects resulting in changes of habitats and food chains. Their widespread use makes contact with pesticides and their residues inevitable for some wildlife. However, little is known about the exposure of dormice to pollutants and pesticides.

Garden Dormice found dead were collected from all over Germany and toxicological examinations were conducted. Fifty-seven livers were investigated for anticoagulant rodenticides by liquid chromatography, coupled to tandem mass spectrometry, resulting in 28 rodenticide-positive samples. In addition, livers of 110 Garden Dormice were analysed for 209 different persistent organic pollutants and pesticides using gas chromatography, coupled to tandem mass spectrometry. In total, 21 different analytes were found. At least four and up to 15 different analytes were detected per sample.

Several studies have showed that pesticide exposure negatively affects the nervous, immune and endocrine systems in other species. Possible consequences might be a higher risk of predation, an impaired resistance against pathogens and a negative impact on reproduction. As many analytes are lipophilic, it seems most likely that species with phases of torpor are especially vulnerable because, during fasting periods, large amounts of toxins might be released from the mobilised fat tissue.

To our knowledge, this is the first study of toxins in free-living Garden Dormice. The possible impact on the decline of this species is not yet fully understood.
Combining citizen science and conservation genomics to reveal the causes of rapid population decline in the Garden Dormouse (Eliomys quercinus)
Authors: von Thaden Alina , Büchner Sven , Lang Johannes , Meinig Holger , Nowak Carsten
Published: April 2022

The Garden Dormouse (Eliomys quercinus) is a native European rodent species that has suffered extensive range contraction and severe population decline across large parts of its distribution in Central and Eastern Europe and is now considered extinct in several countries. At the same time, contrasting population dynamics are observed in its western distribution, where Garden Dormice are regionally abundant and even occupy habitats in the built environment. Reasons for these opposing range dynamics and drastic declines remain unknown. We therefore started a long-term cooperation project, joining the efforts of different research institutions, conservation NGOs and citizen scientists to investigate the underlying causes. Here, we present the results of a RADseq analysis of 103 samples collected from several parts of the European species range to infer regional phylogeography and delineate different conservation units. Preliminary genomic data show the existence of highly divergent genetic lineages, even on a local scale. Based on these findings, we have developed a reduced SNP panel, which allows for lineage discrimination, assessment of population structure and identification of individuals from non-invasively collected samples. The panel is now routinely applied in Garden Dormouse conservation, e.g., when selecting appropriate locations to release displaced Garden Dormice found accidentally or to identify isolated Garden Dormouse populations in need of improved habitat connectivity.
A new endemic dormouse species in Anatolia
Authors: Çetintaş Ortaç , Irmak Sercan , Matur Ferhat , Sözen Mustafa
Published: April 2022

Molecular studies provide very useful information on predicting the evolutionary history of species, species ecology and for describing new species. Dryomys laniger is an alpine species that is endemic to Anatolia, inhabiting high rocky areas. Its known distribution consists of fragmented and isolated populations. In order to determine the evolutionary history of the species, a phylogenetic tree was created with one mtDNA and two nuDNA. Thirty-one samples were collected from 6 populations of Dryomys laniger distributed in Anatolia. Among these 6 populations, Subaşı plateau (Antalya) and Çiçekliboyun plateau (Niğde) populations are new distribution records for the species. According to the result of this study the genetic distance between Eastern lineage and Western lineage is 7%. Beside this genetic distance, two clades are morphologically significantly different from each other. Based on the differences, the Eastern lineage was defined as a new Dryomis species. The two lineages appear in the evolutionary tree as two monophyletic lineages and no common haplotype is shared between these lineages. According to the data available in the literature, and provided in this study, the westernmost distribution limit of Dryomys laniger is around the Subaşı plateau (Antalya), and the easternmost distribution limit is probably the Saimbeyli-Tufanbeyli line. The distribution area of the new Dryomys species is Tahtalı Mountains on the Adana-Kahramanmaraş border in the west, and the Erzurum region in the east. This study strongly suggests the importance of Anatolian high mountain ecosystems in terms of biodiversity, their potential to host new species, and the need for careful conservation.
Relationships among Calibrachoa, Fabiana and Petunia (Petunieae tribe, Solanaceae) and a new generic placement of Argentinean endemic Petunia patagonica
Authors: Alaria Alejandrina , Chau John H. , Olmstead Richard G. , Peralta Iris E.
Published: April 2022

Calibrachoa Cerv., Fabiana Ruiz & Pav., and Petunia Juss. form a clade within tribe Petunieae (Solanaceae). Phylogenetic studies of Petunieae, either as part of a family-wide analysis or focusing on the genera Calibrachoa and Petunia, have either left Fabiana unsampled or included only a single species. These studies have found conflicting relationships among the three genera with all three possible topologies obtained. Petunia patagonica (Speg.) Millán, originally described in the genus Nierembergia Ruiz & Pav., is morphologically distinct within Petunia and geographically disjunct from other members of the genus. For the first time, in this study we include multiple species of Fabiana, Calibrachoa, and Petunia, including P. patagonica. Using three chloroplast DNA regions and the nuclear gene GBSSI, or “waxy,” our results provide strong support for a sister group relationship between Calibrachoa and Fabiana and for the placement of P. patagonica within Fabiana. Since there is already a species Fabiana patagonica Speg., we provide the new name Fabiana australis Alaria nom. nov. to replace Petunia patagonica.
Tacrolimus in Patients With Interstitial Pneumonia Associated With Polymyositis or Dermatomyositis: Interim Report of Postmarketing Surveillance in Japan
Authors: Kuwana Masataka , Wakasugi Naoko , Furuya Toshinori , Uno Satoshi , Suda Takafumi
Published: April 2022

Objective.

The calcineurin inhibitor tacrolimus has been approved in Japan for the treatment of interstitial pneumonia (IP) in patients with polymyositis (PM) and dermatomyositis (DM). Postmarketing surveillance was initiated to examine long-term outcomes of immunosuppressive regimens containing tacrolimus in real-world settings.

Methods.

Observational, prospective, postmarketing surveillance is ongoing in 179 patients with PM/DM-associated IP initiating treatment with tacrolimus. We report interim findings after 2 years of follow-up. Cumulative overall survival was assessed using Kaplan-Meier analysis. Potential prognostic factors for mortality were assessed by univariate Cox proportional hazards analysis.

Results.

A total of 170 patients were included in this analysis. At the time of starting treatment with tacrolimus, almost all patients were receiving corticosteroids (98.8%), and cyclophosphamide was additionally used in 42 patients (24.7%). Forty-nine patients (28.8%) discontinued tacrolimus during follow-up, mainly due to loss to follow-up, patient death, and adverse events. Mean (SD) oral corticosteroid dose decreased from 32.4 (21.6) mg/day at baseline to 7.6 (4.2) mg/day at 2 years. Overall survival at 2 years was 90.3%; corresponding progression-free survival was 62.5%. Factors found to be associated with all-cause mortality included diagnosis of clinically amyopathic DM (hazard ratio [HR] 9.04, 95% CI 1.18-69.51 vs PM), ferritin level 500 to < 1500 ng/mL (HR 8.61, 95% CI 2.51-29.45 vs < 500 ng/mL), and presence of antimelanoma differentiation-associated gene 5 antibodies (HR 8.16, 95% CI 1.03–64.47 vs absence).

Conclusion.

Immunosuppressive regimens containing tacrolimus appear useful for the management of IP in patients with PM/DM. [ClinicalTrials.gov: NCT02159651]
2021 GRAPPA Trainee Symposium: A Summary of Oral and Poster Presentations
Authors: Armstrong April W. , Reddy Rasika M. , Colaco Keith , Diaz Pamela A. , Kaur Raminderjit , Simon David , Vecellio Matteo , Husni M. Elaine
Published: April 2022

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) held a trainee symposium at its 2021 virtual meeting. Dermatology and rheumatology trainees presented their work on psoriasis and psoriatic arthritis (PsA). This report briefly reviews 5 oral presentations: prediction of cardiovascular events in psoriatic disease (PsD), correlation between spine abnormalities and clinical findings, biomechanical stress as a trigger for PsA, differences in DNA methylation among twins with PsD, and critical proteins associated with induction of PsD. In addition, we highlight 22 posters broadly discussing clinical and molecular implications of PsD.
The effect of the weight function on the number of nodal solutions of the Kirchhoff-type equations in high dimensions
Authors: Zhang He , Chen Haibo
Published: April 2022

In this paper, we consider the multiplicity of nodal solutions for the following Kirchhoff type equations:

   \begin{document}$ \begin{equation*} \left\{ \begin{array}{ll} -\varepsilon^2M\left(\varepsilon^{2-N}||\nabla u||^2_{L^2}\right)\Delta u+u = f\left(x\right)|u|^{p-2}u,\ \text{in}\ \mathbb{R}^N,\\ u\in H^1(\mathbb{R}^N), \end{array} \right. \end{equation*} $\end{document}

where \begin{document}$ N\geq 4 $\end{document}, \begin{document}$ \varepsilon>0 $\end{document} is a small parameter, \begin{document}$ M\left(t\right) = at+b\left(a,b>0\right) $\end{document} and \begin{document}$ 2
. We assume that the weight function \begin{document}$ f\in C\left(\mathbb{R}^N,\mathbb{R}^+\right) $\end{document} has \begin{document}$ k $\end{document} maximum points in \begin{document}$ \mathbb{R}^N $\end{document}. By using a novel constraint approach as well as the barycenter map, \begin{document}$ k^2 $\end{document} nodal solutions are obtained when \begin{document}$ N\geq4 $\end{document} for \begin{document}$ \varepsilon,a $\end{document} sufficiently small.
Stability, existence and non-existence of $ T $-periodic solutions of nonlinear delayed differential equations with $ \varphi $-Laplacian
Authors: Amster Pablo , Kuna Mariel Paula , Santos Dionicio
Published: April 2022

Using a Lyapunov-Krasovskii functional, new results concerning the global stability, boundedness of solutions, existence and non-existence of \begin{document}$ T $\end{document}-periodic solutions for a kind of delayed equation for a \begin{document}$ \varphi $\end{document}-Laplacian operator are obtained. An application is given for the well known sunflower equation.
Global Carleman estimate and its applications for a sixth-order equation related to thin solid films
Authors: Jin Yanpeng , Fu Ying
Published: April 2022

Considered herein is the initial boundary value problem associated with a sixth-order nonlinear parabolic equation in a bounded domain. We first establish a new global Carleman estimate for the sixth-order parabolic operator. Based on this estimate, we obtain the local exact controllability to the trajectories and the unique continuation property of the parabolic equation.
Existence and asymptotic behaviour of positive ground state solution for critical Schrödinger-Bopp-Podolsky system
Authors: Liu Senli , Chen Haibo
Published: April 2022

In this paper, we consider a class of critical Schrödinger-Bopp-Podolsky system. By virtue of the Nehari manifold and variational methods, we study the existence, nonexistence and asymptotic behavior of ground state solutions for this problem.
Quasi-cyclic displacement and inversion decomposition of a quasi-Toeplitz matrix
Authors: Zheng Yanpeng , Jiang Xiaoyu
Published: April 2022

We study a class of column upper-minus-lower (CUML) Toeplitz matrices, which are "close" to the Toeplitz matrices in the sense that their ($ 1, -1 $)-cyclic displacements coincide with $ \varphi $-cyclic displacement of some Toeplitz matrices. Among others, we derive the inverse formula for CUML Toeplitz matrices in the form of sums of products of factor circulants by constructing the corresponding displacement of the matrices. In addition, by the relationship between CUML Toeplitz matrices and CUML Hankel matrices, the inverse formula for CUML Hankel matrices is also obtained.
Comment se repérer dans un monde problématique ?
Authors: Fabre Michel
Published: April 2022

Que veut dire aujourd’hui se repérer ? On analysera les mutations qui affectent désormais la normativité éducative et le double glissement qui s’y opère de l’impératif au conditionnel, sans qu’il soit toujours possible d’y poser l’exigence d’un principe de réalité. Dans une telle perspective, sur quels repères peut bien faire fond la prudence de l’éducateur ? S’il ne s’agit plus d’imiter les anciens ni de suivre la nature, et si le progrès ne va plus de soi, la seule issue n’est-elle pas de penser l’expérience dans son immanence absolue, comme le pragmatisme seul a su le faire ? Si l’éducation ne consiste plus à suivre et faire suivre des chemins tout tracés, il faut inventer de nouveaux types de repères. C’est pourquoi, nous nous proposons d’explorer les métaphores de la boussole et de la carte. Cartes et boussole n’imposent aucun chemin mais aident le voyageur à trouver le sien. Avec la boussole, l’éduqué trace sa propre route mais sur le fond d’une expérience déjà là, inscrite sur la carte.
La coopération internationaledans la recherche-action en éducation. Un autre moyen de concevoir et de mettre en œuvre la formation des enseignants
Authors: Mallet Jeanne , Saint-Luc Florence
Published: April 2022

La formation des enseignants est déterminante dans la prévention des violences scolaires. Une recherche-action a commencé en juillet 2008 au sein des Mouvements de l’École moderne, sous la forme d’une coopération internationale pour la formation : des observations participantes ont été réalisées dans des classes et lors de formations en Finlande, Belgique, Allemagne, Espagne et enfin au Portugal, où une forme de recherche-action pour la formation s’est développée depuis 1974, offrant une mise à l’épreuve du concept d’isomorphisme Éducation/Formation/Recherche. Les visites et l’animation d’interventions ont permis une posture de « praticien-chercheur » dans le domaine de la formation, sous la forme d’une auto-formation coopérative, intégrée dans une formation à et par la recherche-action, pour des formateurs/enseignants, à l’intérieur d’un réseau coopératif international.
Une approche conative de la violence en milieu scolaire : une perspective singulière et éclairante sur les problématiques qui touchent l’école. Vers une « responsabilité fonctionnelle » des institutions scolaires
Authors: Joing Isabelle , Mikulovic Jacques
Published: April 2022

Face à une actualité qui relance régulièrement le débat de la violence à l’école, quel regard adopter ? Dans cet article, nous proposons une approche « émergente » pour interroger un phénomène largement « ancré » dans les débats scientifiques. L’objet est d’étudier la violence à l’école en tentant d’évaluer le poids du mode de fonctionnement des institutions scolaires sur le niveau de violence ressentie par les élèves et les professionnels. En s’appuyant sur le modèle conatif, nous voulons effectuer un changement de paradigme : dépasser « l’effet » établissement pour s’attaquer aux « origines » de l’action (ou inactions) (c’est-à-dire les conations). Cette approche émergente nous permet alors de proposer un curriculum de fonctionnement institutionnel permettant d’appréhender les modes de penser et d’agir des institutions. Plus qu’un effet établissement, les données obtenues permettent d’envisager une « responsabilité fonctionnelle » dans la compréhension des phénomènes qui touchent l’école, et notamment la violence.
Aborder la question des « communautés » en classe et dans l’établissement scolaire : quelles réalités, quels outils ?
Authors: Zoïa Geneviève
Published: April 2022

Le monde éducatif est marqué par des logiques culturelles qui constituent une épreuve pédagogique pour les acteurs du système éducatif. En effet, l’inscription des publics dans des territoires où se concentrent pauvreté et origines culturelles communes conditionne l’accès pour les publics à la compréhension des attentes de l’école et la nature des expériences professionnelles. Dans ces espaces, ni la prescription par l’identification du métier, ni le savoir ou la qualification ne suffisent à définir le travail des professionnels confrontés à des logiques socioculturelles qui les interrogent et les déstabilisent quelquefois. Après avoir abordé les questions que pose pour l’institution l’irruption des identités culturelles sur la scène scolaire, nous nous intéresserons concrètement à la nature des difficultés qui se posent aux enseignants et montrerons enfin l’importance de penser le développement de compétences propres à la gestion de diversité culturelle, compétences qui exigent de plus en plus d’autonomie et d’adaptation.
Recherche et formation au coaching : quelle place émergente pour les sciences de l'éducation ?
Authors: Guillemot Valérie , Vial Michel
Published: April 2022

Envisager le coaching métier émergeant, en cours d'institutionnalisation, et pas encore organisé comme profession dans la scène d'une relation éducative, c'est questionner la posture de coach à partir d'une dialectique. D'un côté une approche gestionnaire où l'économie du temps et des moyens prime et où l'efficacité est reconnue. De l'autre une priorité donnée au processus de problématisation pour élucider, comprendre, et se représenter et agir en homme capable (Ricœur, 2005). C'est à partir de l'analyse d'une situation de coaching relatée sous forme de saynète, puis analysée à partir d'un référentiel éducatif, que cet article questionne l'apport spécifique de ce thème de recherche lui- même émergent en Sciences de l'éducation. La recherche en sciences de l'éducation ouvre une voie en montrant qu'un coach ne travaille pas à répondre à une commande indépendamment de l'ensemble des composantes de la situation, dans une démarche de résolution de problème, mais qu'il travaille à partir d'une commande, pour repérer dans la demande les composantes multiples et contraires d'une situation afin de permettre au client de problématiser. La construction de cet espace de problématisation est caractéristique de l'accompagnement et contraire à l'expertise. Ainsi, la recherche en sciences de l'éducation, qui étudie le passage du coaching d'un métier à une profession, contribue à situer le coaching en le différenciant de pratiques proches, comme celle du conseil individuel à laquelle forment les Sciences de la Gestion.
Towards 6G
Authors: S. Madumidha , P. SivaRanjani , V. Tharun , K. Samyuktha , V. J. Shevani , S. Raji Sweethaa , Darisi Pavani
Published: April 2022

Sixth generation (6G) wireless communications have commenced in research after the deployment of fifth generation (5G). It's anticipated that 6G networks can take abundant heterogeneous devices and infrastructures with greater efficiency and safety over various resources, storage, computing. Conversely, this objective is hindered by a number of trust-related issues that are frequently ignored in network plans. Blockchain is a distributed ledger technology that has arisen in the recent decade with fundamental traits (e.g., transparency, traceability, immutability, decentralization, anonymity). Blockchain can inaugurate cooperative trust among distinct network entities and simplify various intrinsic features like privacy protection, tracing, trusted data interaction, verified certification for trusted users, monitoring functionalities for wireless networks, thus awarding a new paradigm towards 6G. This chapter provides the role of blockchain in wireless communication technologies.
6G-Based Mobile IPTV Using Adaptive Hybrid Transmission
Authors: C. Augustine , Anand Jose , K. Vinoth Kumar , D. Kaleeswaran , G. Muneeswari , S. P. Santhoshkumar
Published: April 2022

The arrival of the 6th generation (6G) technology will revolutionize the digital transformation of society. It offers speeds of several gigabits per second, with small latencies less than 5ms, ultra-reliable transmission medium, while it is able to handle a huge quantity of nodes simultaneously connected to the network. 6G will be accepted for commercial launch within 10 years. 6G will be industrialized in retort to progress the dispersed radio access network (RAN) and longing to use terahertz band to increase the number of users. On proposing an adaptive hybrid transmission (AHT) arrangement about 6G with mobile internet protocol television network (MIPTVN), the proposed algorithm uses a hybrid mechanism. The AHT mechanism is the combination of the multichannel multicast and unicast process which increases the service over service probability of blocking the service and reduces the overall bandwidth consumption of MIPTVN on demand over 6G.
6G With Artificial Intelligence and AI-Enabled Smart Architectural Design
Authors: V. K. Reshma , Stallon Daison , M. B. Shyjith , S. Suresh , G. Prabhakar
Published: April 2022

Modern networks may not even be equipped to fully satisfy rapidly increasing traffic needs due to the fast growth of intelligent endpoints and systems and various programs with diverse needs. As a result, a study on 6G technology has already been undertaken by businesses and academics. AI (artificial intelligence) has subsequently been used as a paradigm shift to optimise high-intelligence 6G technology. To realize information exploration intelligent resource planning, automatic network adaptation, and astute service configuration management, the authors proposed an AI-enabled smart architectural design for 6th generations ystems; here, it is categorized into four tiers: data mining, intelligent sensing layer, smart application layer, and intelligent control layer. The author also discussed modern technology in the mobile generation, uses, security, opportunities, and challenges.
Smart Healthcare Technology Challenges and Future Perspective
Authors: A. K. Priya , R. Saravanakumar , D. Balaji , S. Elavarasan , V. Kavinkumar , D. Satishkumar
Published: April 2022

The vision towards future sustainability in healthcare has become an alarming factor owing to its imperfect system in place based on growth and aging. In order to follow and control every citizen in the health process of their lives, wireless health monitoring must be achieved. The aim of next gen is not just to make wireless healthcare a true technology, but will also enable bio-nano-internet, things allowing the human healthcare to form a controlled network. Less sophisticated wearable and/or implantable equipment would be an integral part of our day-to-day life, which can recognize the lifestyle and health data from all the possible means of interaction. The authors present a vision for a complete model that should meet the expanding healthcare hassles and a conceptual model that can solve these growing expectations in full. In conclusion, the latest developments in the healthcare domain are discussed, and the authors suggest upcoming avenues in this domain on par with the technological growth.
Crime Analyses Using Data Analytics
Authors: Dayara Thanu , Thabtah Fadi , Abdel-Jaber Hussein , Zeidan Susan
Published: April 2022

One potential approach for crime analysis that has shown promising results is data analytics, particularly descriptive and predictive techniques. Data analytics can explore former criminal incidents seeking hidden correlations and patterns, which potentially could be used in crime prevention and resource management. The purpose of this research is to build a crime analysis model using supervised techniques to predict the arrest status of serious crimes in Chicago. This is based on specific indicators, such as timeframe, location in terms of district, community, and beat, and crime type among others. We used time series and clustering techniques to help us identify influential features. Supervised machine learning algorithms then modelled the subset of features against incidents related to battery and assaults in specific timeframes and locations to predict the arrest status response variable. The models derived from Naïve Bayes, Decision Tree, and Support Vector Machine (SVM) algorithms reveal a high predictive accuracy rate at certain times in some communities within Chicago.
Mining Agricultural Data to Predict Soil Fertility Using Ensemble Boosting Algorithm
Authors: Jayalakshmi R  , Savitha Devi M.
Published: April 2022

Agriculture is the most important resource of livelihood and an emerging field the forms the backbone of India. Present challenges of the agriculture domain include uncertain climatic changes, poor irrigation facilities, weather uncertainty. Machine learning is one such technique that is employed to predict the fertility of the soil in agriculture. ensemble machine learning techniques aim to create meta-classifiers to produce better predictive performance. The primary focus of this paper is to analyze the soil data that is collected from the soil testing laboratory to predict fertility from a collected dataset by using multiple ensemble machine learning algorithms such as bagging, boosting, and stacking for better prediction, accuracy, and higher consistency. The soil fertility classes were evaluated using 10 selected attributes. Measurements of different soil parameters have been used for predicting soil fertility. The experimental result shows that the boosting method on the C5.0 algorithm achieved higher accuracy than other ensemble classifiers with 98.15%.
Social Media Information or Misinformation About COVID-19
Authors: Brindha D.  , Kadeswaran S.  , Jayaseelan R.
Published: April 2022

Coronavirus disease (COVID-19) is an infectious disease caused by a newly discovered novel strain of coronavirus, SARS-CoV-2 (WHO, 2020). With the internet, social media have become the most acclaimed tool for freedom of speech, democracy, truth, source of infotainment and the most-searched venue for information-gathering. However, there are thousands of people spreading information, sensationalism, rumours, misinformation, disinformation making it crucial for Governments and experts to fight the pandemic as well as the infodemic. In this study, the researchers have attempted to find out whether social media is informing or misinforming the public with regard to the Covid-19 pandemic, adopting the qualitative method of phenomenological study. The speed at which information spreads on social media is unimaginable and the findings will help understand if social media is diffusing information or misinformation to the public about Covid-19 outbreak. In-depth interviews were conducted using an open-ended question with 13 active social media users, from around 11 districts of Tamil Nadu.
Ensemble of Support Vector Machine and Ontological Structures to Generate Abstractive Text Summarization
Authors: Arora Amita
Published: April 2022

Automatic summarization systems are much needed to lessen the information overload which is being faced by people due to exponential growth of data on World Wide Web. These systems choose the most significant part of the text from a single document or multiple documents and present the compressed surrogate form of the complete information which was intended to be conveyed. In this research paper, we propose an approach to generate summary from a given text first by extracting the most relevant sentences and then making further concise by creating ontological structures of these sentences and then generating the abstractive summary from these structures. Our proposed system is evaluated with DUC 2002 data set and it is found that the performance of this system as evaluated using ROUGE-1 is 58.175 which is better than other state of the art systems. The values reported in the experimental process of the research report the significant contribution of this innovative method.
A Model for Predicting User Intention to Use Voice Recognition Technologies at the Workplace in Saudi Arabia
Authors: Majrashi Khalid
Published: April 2022

The use of voice recognition technologies (VRTs) has been expanding, and these are currently used at workplaces. This study tested a model for predicting users’ intention to use VRTs at workplaces. The model extended the technology acceptance model (TAM) and considered four additional factors—perceived privacy, perceived security, perceived trust, and social norms—and four variables—age, education level, gender, and nationality. We validated the model based on responses from 300 employees working in Saudi Arabia. The results indicated a medium level of acceptance and a valid TAM in its original form. Further, perceived privacy and perceived security are significant predictors of perceived trust and perceived trust is an important predictor of attitudes and intention to use VRTs. The social norms variable was a significant predictor of intention to use and accept VRTs. The results also showed that age and education level significantly affect users’ attitudes toward VRT adoption.
(Offloading) QoE-Aware Application Mapping and Energy-Aware Module Placement in Fog Computing + Offloading
Authors: Keat Low Choon , Fong Ang Tan , Chong Chun Yong , Yiqi Tew
Published: April 2022

Fog computing is a potential solution for the Internet of Things in close connection with things and end-users. Fog computing will easily transfer sensitive data without delaying distributed devices. Moreover, fog computing is more in real-time streaming applications, sensor networks, IoT which need high speed and reliable internet connectivity. Due to the heterogeneous and distributed characteristics, finley distributing the task with computation offloading is a challenging task. Developing an efficient QoE-aware application mapping policy is challenging due to the different user interests. The energy consumption would usually increase after such an algorithm and policy are implemented. In this paper, we enhanced the future from the previous QoE paper by proposing a computation offloading algorithm. The proposed algorithm is to prevent overloading on fog devices. Our proposed solution has been evaluated and compared with other existing solutions, the results show that our proposed solution performs better in terms of execution time, energy consumption, and network usage.
Recommendations for Crowdsourcing Services Based on Mobile Scenarios and User Trajectory Awareness
Authors: Su Jie , Li Jun
Published: April 2022

With the rapid development of the mobile internet and the rapid popularization of smart terminal devices, types and content of services are changing with each passing day, these bring serious mobile information overload problems for mobile users. How to provide better service recommendations for users is an urgent problem to be solved. A crowdsourcing service recommendation strategy for mobile scenarios and user trajectory awareness is proposed. First, the location coordinates in the historical log are clustered into regions by clustering algorithms, and then the user's trajectory patterns are mined in different mobile scenarios to extract mobile rules. Furthermore, the mobile rules are extracted and the scenario to which each rule belongs is judged. When performing crowdsourcing service recommendation, the location trajectory and mobile scenario information are perceived in real time, they are used to predict the location area where the user will soon arrive, thereby the crowdsourcing service in the area is pushed to the user.
WGAN-Based Image Denoising Algorithm
Authors: Zou XiuFang , Zhu Dingju , Huang Jun , Lu Wei , Yao Xinchu , Lian Zhaotong
Published: April 2022

Traditional image denoising algorithms are generally based on spatial domains or transform domains to denoise and smooth the image. The denoised images are not exhaustive, and the depth-of-learning algorithm has better denoising effect and performs well while retaining the original image texture details such as edge characters. In order to enhance denoising capability of images by the restoration of texture details and noise reduction, this article proposes a network model based on the Wasserstein GAN. In the generator, small convolution size is used to extract image features with noise. The extracted image features are denoised, fused and reconstructed into denoised images. A new residual network is proposed to improve the noise removal effect. In the confrontation training, different loss functions are proposed in this paper.
MLN4924 Inhibits Defective Ribosomal Product Antigen Presentation Independently of Direct NEDDylation of Protein Antigens
Authors: Vijayasimha Kartikeya , Leestemaker-Palmer Amy L , Gibbs James S , Yewdell Jonathan W , Dolan Brian P
Published: April 2022

Successful direct MHC class I Ag presentation is dependent on the protein degradation machinery of the cell to generate antigenic peptides that can be loaded onto MHC class I molecules for surveillance by CD8+ T cells of the immune system. Most often this process involves the ubiquitin (Ub)–proteasome system; however, other Ub-like proteins have also been implicated in protein degradation and direct Ag presentation. In this article, we examine the role of neuronal precursor cell–expressed developmentally downregulated protein 8 (NEDD8) in direct Ag presentation in mouse cells. NEDD8 is the Ub-like protein with highest similarity to Ub, and fusion of NEDD8 to the N terminus of a target protein can lead to the degradation of target proteins. We find that appending NEDD8 to the N terminus of the model Ag OVA resulted in degradation by both the proteasome and the autophagy protein degradation pathways, but only proteasomal degradation, involving the proteasomal subunit NEDD8 ultimate buster 1, resulted in peptide presentation. When directly compared with Ub, NEDD8 fusion was less efficient at generating peptides. However, inactivation of the NEDD8-conugation machinery by treating cells with MLN4924 inhibited the presentation of peptides from the defective ribosomal product–derived form of a model Ag. These results demonstrate that NEDD8 activity in the cell is important for direct Ag presentation, but not by directly targeting proteins for degradation.
Low-Cost Magnesium Alloy Sheet Component Development and Demonstration Project
Authors: Gerken Randy T. , Ghaffari Bita , Sachdev Anil K. , Mehta Manish , Carter Jon T.
Published: April 2022

Most of the applications of magnesium in lightweighting commercial cars and trucks are die castings rather than sheet metal, and automotive applications of magnesium sheet have typically been experimental or low-volume serial production. The overarching objective of this collaborative research project organized by the United States Automotive Materials Partnership (USAMP) was to develop new low-cost magnesium alloys, and demonstrate warm-stamping of magnesium sheet inner and outer door panels for a 2013 MY Ford Fusion at a fully accounted integrated component cost increase over conventional steel stamped components of no more than $2.50/lb. saved ($5.50/kg saved). The project demonstrated the computational design of new magnesium (Mg) alloys from atomistic levels, cast new experimental alloy ingots and explored thermomechanical rolling processes to produce thin Mg sheet of desired textures. A new commercial Mg alloy sheet material was sourced and pretreated with protective coil coatings, and its properties fully characterized. The Mg sheet was successfully warm-formed using novel lubricants into intermediate size benchmark parts and full-size automotive door inner and outer panels. The project also explored conventional welding processes for joining of Mg sheet, developed novel corrosion treatments for multi-metal assembly coatings, performed computer simulations of door panel forming using two new material cards based on crystal plasticity theory, and concluded with a door static and dynamic performance analysis. An overall cost driver and sensitivity assessment task compared the final cost penalty depending on the cost of the primary magnesium sheet.
Bottom-up feedback to improve clinical teaching: validation of the Swiss System for Evaluation of Teaching Qualities (SwissSETQ)
Authors: Breckwoldt Jan , Marty Adrian P. , Stricker Daniel , Stolz Raphael , Thomasin Reto , Seeholzer Niels , Berger-Estilita Joana , Greif Robert , Huwendiek Sören , Zalunardo Marco P.
Published: April 2022

AIMS OF THE STUDY: Clinical teaching is essential in preparing trainees for independent practice. To improve teaching quality, clinical teachers should be provided with meaningful and reliable feedback from trainees (bottom-up feedback) based on up-to-date educational concepts. For this purpose, we designed a web-based instrument, "Swiss System for Evaluation of Teaching Qualities" (SwissSETQ), building on a well-established tool (SETQsmart) and expanding it with current graduate medical education concepts. This study aimed to validate the new instrument in the field of anaesthesiology training.
METHODS: Based on SETQsmart, we developed an online instrument (primarily including 34 items) with generic items to be used in all clinical disciplines. We integrated the recent educational frameworks of CanMEDS 2015 (Canadian Medical Educational Directives for Specialists), and of entrustable professional activities (EPAs). Newly included themes were "Interprofessionalism", "Patient centredness", "Patient safety", "Continuous professional development’, and "Entrustment decisions". We ensured content validity by iterative discussion rounds between medical education specialists and clinical supervisors. Two think-aloud rounds with residents investigated the response process. Subsequently, the instrument was pilot-tested in the anaesthesia departments of four major teaching hospitals in Switzerland, involving 220 trainees and 120 faculty. We assessed the instrument's internal structure (to determine the factorial composition) using exploratory factor analysis, internal statistical consistency (by Cronbach’s alpha as an estimate of reliability, regarding alpha >0.7 as acceptable, >0.8 as good, >0.9 as excellent), and inter-rater reliability (using generalisability theory in order to assess the minimum number of ratings necessary for a valid feedback to one single supervisor).
RESULTS: Based on 185 complete ratings for 101 faculty, exploratory factor analysis revealed four factors explaining 72.3% of the variance (individual instruction 33.8%, evaluation of trainee performance 20.9%, teaching professionalism 12.8%; entrustment decisions 4.7%). Cronbach's alpha for the total score was 0.964. After factor analysis, we removed one item to arrive at 33 items for the final instrument. Generalisability studies yielded a minimum of five to six individual ratings to provide reliable feedback to one supervisor.
DISCUSSION: The SwissSETQ possesses high content validity and an "excellent" internal structure for integrating up-to-date graduate medical education concepts. Thereby, the tool allows reliable bottom-up feedback by trainees to support clinical teachers in improving their teaching. Transfer to disciplines other than anaesthesiology needs to be further explored.
Health literacy among older adults in Switzerland: cross-sectional evidence from a nationally representative population-based observational study
Authors: Meier Clément , Vilpert Sarah , Borrat-Besson Carmen , Jox Ralf J. , Maurer Jürgen
Published: April 2022

BACKGROUND AND AIM: Despite being widely regarded as a major cause of health inequalities, little is known regarding health literacy and its association with certain personal characteristics among older adults in Switzerland. To fill this gap, this study assesses health literacy and its associations with individuals’ social, regional, and health characteristics in a nationally representative sample of adults aged 58 years and older in Switzerland. METHOD: We use data of 1,625 respondents from a paper-and-pencil self-completion questionnaire (cooperation rate: 94.3%) that was administered as part of wave 8 (2019/2020) of the Survey of Health, Ageing and Retirement in Europe (SHARE) in Switzerland. Health literacy is measured using the short version of the European Health Literacy Survey questionnaire (HLS-EU-Q16). The scale includes 16 items whose dichotomised responses allow the construction of different indices and sub-indices aimed at measuring various aspects of health literacy. We use multivariable regressions to explore how respondents' sociodemographic characteristics are independently associated with health literacy. RESULTS: Overall, 6.8% of the respondents had inadequate health literacy, 24.6% problematic health literacy, and 68.6% sufficient health literacy. There were significant associations between health literacy and individuals' gender, education, economic situation, and self-rated health. Women had higher levels of health literacy than men (p <0.001). Moreover, a higher education level (p <0.001), fewer financial difficulties (p<0.01), and higher self-rated health (p <0.001) were positively correlated with adequate/higher levels of health literacy. CONCLUSION: One-third of older citizens have difficulties managing health-related issues in Switzerland. Individuals with low education, financial difficulties, and bad self-rated health are particularly at risk of being disadvantaged due to their inadequate health literacy level. These findings call for targeted interventions, such as using simplified health or eHealth information tools, improved patient-provider communication and shared decision-making, promoting lifelong learnings activities and health literacy screening for older patients to increase low health literacy and mitigate its consequences, thereby alleviating remaining social health inequalities in the Swiss population.
ẢNH HƯỞNG CỦA THÔNG TIN KẾ TOÁN TRÊN BÁO CÁO TÀI CHÍNH ĐẾN GIÁ CỔ PHIẾU CỦA CÁC DOANH NGHIỆP NIÊM YẾT TRÊN THỊ TRƯỜNG CHỨNG KHOÁN VIỆT NAM
Authors: ĐỖ THỊ MỸ  , NGUYỄN THỊ THU HIỀN
Published: April 2022

Mục tiêu của nghiên cứu là xác định sự ảnh hưởng và đo lường mức độ ảnh hưởng của thông tin kế toán trên báo cáo tài chính đến giá cổ phiếu của các doanh nghiệp niêm yết trên sàn chứng khoán Thành phố Hồ Chí Minh. Nghiên cứu áp dụng và kế thừa mô hình gốc của Ohlson (1995) kết hợp với mô hình của Mondal và Imran (2010), Sharif và cộng sự (2015). Kết quả nghiên cứu cho thấy các thông tin kế toán: sự tăng trưởng (SALEGROWTH), thu nhập trên mỗi cổ phiếu (EPS), tỷ số nợ trên tài sản (DAR), giá trị sổ sách trên mỗi cổ phiếu (BVPS) và quy mô công ty (SIZE) của 239 doanh nghiệp trong giai đoạn 2015-2019 đều có ảnh hưởng đến giá cổ phiếu, trong đó BVPS, EPS, SALEGROWTH, SIZE tác động cùng chiều còn DAR tác động ngược chiều và cả 5 thông tin kế toán đều có mức ý nghĩa thống kê cao nhất là 1%.