bluuebunny/crossref_metadata_2025 huggingface dataset:
Biogasanlagen als Stabilisatoren des Stromsystems?
Authors: Lechner Raphael , Brückl Oliver , Schächinger Johannes , Becker Max
Published: February 2023

In Anbetracht der zukünftig starken Zunahme an fluktuierender Stromerzeugung stellt sich die Frage, wie unser Stromsystem auf die dadurch entstehenden Herausforderungen vorbereitet werden kann. In diesem Umstellungsprozess muss auch geklärt werden, wie bereits vorhandene Ressourcen zur Netzstabilisierung genutzt werden können. Im Forschungsprojekt Optibiosy wurden sowohl die technischen, als auch die wirtschaftlichen Potenziale von Biogasanlagen untersucht.
100 Prozent natürlich mit Biomethan
Authors: Schmunk Julia
Published: February 2023

Seinen naturverbundenen Ansatz dehnt das Stiftungsunternehmen mit mehr als 1 000 Mitarbeitenden auch auf die Energieversorgung aus: Wala deckt seinen kompletten Wärmebedarf mit Biomethan. Ein wichtiger Schritt auf dem Weg zur Klimaneutralität.
Current Trends in the Study of Dysphemization in English Media
Authors: Порохницкая Л.В. , Самойлова В.В.
Published: February 2023

В статье предпринимается попытка суммировать существующие подходы к изучению процесса дисфемизации в дискурсе современных англоязычных средств массовой информации, а также наметить перспективные методы анализа дисфемии. Научная новизна исследования заключается в том, что в нем впервые обосновывается необходимость введения в научный обиход понятия «дисфемистический потенциал». Показано, что изучение процесса дисфемизации как комплексного лингвокультурного явления предполагает не только подробное рассмотрение его функционально-прагматических параметров, но и выявление концептуальных оснований формирования семантики языковых единиц разной степени сложности, обладающих определенной степенью дисфемистического потенциала. Описание концептуальных механизмов формирования фонда дисфемистических единиц позволит уточнить понятие «дисфемистический потенциал» в синтагматике и парадигматике.

The article attempts to summarize the existing approaches to the study of dysphemization process in the discourse of modern English media, as well as outline promising methods of analyzing dysphemization. The scientific novelty of the study lies in the fact that for the first time it substantiates the need to introduce the concept of “dysphemistic potential” into scientific use. The article shows that the study of dysphemization process as a complex linguocultural phenomenon involves not only a detailed consideration of its functional and pragmatic features, but also the identification of conceptual foundations which form the semantics of language units of varying degrees of complexity with a certain degree of dysphemistic potential. The description of the conceptual mechanisms for the formation of a stock of dysphemistic units will make it possible to clarify the concept of “dysphemistic potential” in syntagmatics and paradigmatics.
Energy Management Solution using Internet of things
Authors: Obademi John Oluwadara , Bello Lukman Oluwatobi , Ogunti E.O
Published: February 2023

Energy management is imperative at a time like this. Due to rising population and lack of adequate power supply to satisfy energy consumers, there is an urgent need to provide an efficient way to manage energy. This study proffers solution to the enormous challenge of managing energy by developing a model that helps both consumer and energy providers manage energy efficiently. This solution will enable monitoring of power over a specific period and intelligent switching of power sources. Thus, the energy consumer gets a detailed information of energy usage and specific time and duration of power switching between different energy sources. It assists energy providers such as the Electricity DISCOs (Distribution Companies) to monitor energy distribution. The study composes four distinct parts which are; the automatic transfer switch, the internet of things module, the mobile application and the cloud server. This study helps to intelligently chose between energy sources, observe and log power usage patterns of homes, provide analytics and insight to energy usage by consumers, provide ease, comfort and safety to users and optimally manage energy in homes.
Das stille Gedächtnis der Universität
Authors: Bruhn Karen
Published: February 2023

Der Beitrag Das stille Gedächtnis der Universität: Lebenswelt und Selbstverständnis der Sekretärinnen des Historischen Seminars von Karen Bruhn stellt eine erste Spurensuche zu dieser spannenden Akteurinnengruppe dar.
Jahrzehntelang wurden die Frauen, die diesem Beruf nachgingen, als ›Vorzimmerdamen‹ oder ›gute Geister‹ mit einer Mischung aus Hochachtung und Abwertung angesehen und behandelt. Der Beitrag zeigt,
dass das Berufsfeld jedoch seit jeher – für das Historische Seminar zumindest seit der Nachkriegszeit – hohe Anforderungen an die Qualifikation der Frauen stellte. Mit dem technischen Wandel und der
Digitalisierung veränderte sich das Berufsbild nachhaltig. Eine Sache bleibt jedoch von höchster Priorität und oberstes Gebot: die Loyalität zur vorgesetzten Person.
A Census of the Low Accretors. II. Accretion Properties
Authors: Thanathibodee Thanawuth , Molina Brandon , Serna Javier , Calvet Nuria , Hernández Jesús , Muzerolle James , Franco-Hernández Ramiro
Published: February 2023

Much is known about the processes driving accretion from protoplanetary disks onto low-mass pre-main-sequence stars (T Tauri stars). Nevertheless, it is unclear how accretion stops. To determine the accretion properties and their relation to stellar properties and gain insight into the last stages of accretion, we present a detailed analysis of 24 low and possible accretors, previously identified using the He i
λ10830 line. We model moderate-resolution Hα profiles of these stars using magnetospheric accretion flow models that account for the chromospheric contribution at the line center. Based on parameters derived from the fits of 20 stars that can be reproduced with the models, we find a power-law relation between the disk truncation radius and the mass accretion rate consistent with predictions from theory and simulations. Comparing the corotation and truncation radii, we find that most of our targets are accreting in the unstable regime and rule out the propeller as the main process stopping accretion. For the truncation radius to be the same as the magnetic radius, the dipole magnetic field and/or the efficiency parameter ξ need to be smaller than previously determined, suggesting that higher-order fields dominate in low accretion rates. Lastly, we determine that the lowest accretion rates that can be detected by Hα line modeling are (1–3) × 10−11
M
☉ yr−1 for M3 stars and (3–5) × 10−11
M
☉ yr−1 for K5 stars. These limits are lower than the observed accretion rates in our sample, suggesting that we have reached a physical lower limit. This limit,

M

̇

∼

10

−
10

M

☉

yr

−
1

, is consistent with EUV-dominated photoevaporation.
Takeout and Delivery: Erasing the Dusty Signature of Late-stage Terrestrial Planet Formation
Authors: Najita Joan R. , Kenyon Scott J.
Published: February 2023

The formation of planets like Earth is expected to conclude with a series of late-stage giant impacts that generate warm dusty debris, the most anticipated visible signpost of terrestrial planet formation in progress. While there is now evidence that Earth-sized terrestrial planets orbit a significant fraction of solar-type stars, the anticipated dusty debris signature of their formation is rarely detected. Here we discuss several ways in which our current ideas about terrestrial planet formation imply transport mechanisms capable of erasing the anticipated debris signature. A tenuous gas disk may be regenerated via takeout (i.e., the liberation of planetary atmospheres in giant impacts) or delivery (i.e., by asteroids and comets flung into the terrestrial planet region) at a level sufficient to remove the warm debris. The powerful stellar wind from a young star can also act, its delivered wind momentum producing a drag that removes warm debris. If such processes are efficient, terrestrial planets may assemble inconspicuously, with little publicity and hoopla accompanying their birth. Alternatively, the rarity of warm excesses may imply that terrestrial planets typically form very early, emerging fully formed from the nebular phase without undergoing late-stage giant impacts. In either case, the observable signposts of terrestrial planet formation appear more challenging to detect than previously assumed. We discuss observational tests of these ideas.
A New Study on a Type Iax Stellar Remnant and its Probable Association with SN 1181
Authors: Lykou Foteini , Parker Quentin A. , Ritter Andreas , Zijlstra Albert A. , Hillier D. John , Guerrero Martín A. , Le Dû Pascal
Published: February 2023

We report observations and modeling of the stellar remnant and presumed double-degenerate merger of Type Iax supernova Pa 30, which is the probable remnant of SN 1181 AD. It is the only known bound stellar SN remnant and the only star with Wolf–Rayet features that is neither a planetary nebula central star nor a massive Population I progenitor. We model the unique emission-line spectrum with broad, strong O vi and O viii lines as a fast stellar wind and shocked, hot gas. Non-LTE wind modeling indicates a mass-loss rate of ∼10−6
M
⊙ yr−1 and a terminal velocity of ∼15,000 km s−1, consistent with earlier results. O viii lines indicate shocked gas temperatures of T ≃ 4 MK. We derive a magnetic field upper limit of B < 2.5 MG, below earlier suggestions. The luminosity indicates a remnant mass of 1.0–1.65 M
⊙ with ejecta mass 0.15 ± 0.05 M
⊙. Archival photometry suggests the stellar remnant has dimmed by ∼0.5 mag over 100 yr. A low Ne/O < 0.15 argues against an O-Ne white dwarf in the merger. A cold dust shell is only the second detection of dust in an SN Iax and the first of cold dust. Our ejecta mass and kinetic energy estimates of the remnant are consistent with Type Iax extragalactic sources.
Recovering Thermodynamics from Spectral Profiles Observed by IRIS. (II). Improved Calculation of the Uncertainties Based on Monte Carlo Experiments
Authors: Dalda Alberto Sainz , De Pontieu Bart
Published: February 2023

Observations by the Interface Region Imaging Spectrograph (IRIS) of the Mg ii h & k spectral lines have provided a new diagnostic window toward knowledge of the complex physical conditions in the solar chromosphere. Theoretical efforts focused on understanding the behavior of these lines have allowed us to obtain a better and more accurate vision of the chromosphere. These efforts include forward modeling, numerical simulations, and inversions. In this paper, we focus our attention on the uncertainties associated with the thermodynamic model atmosphere obtained after the inversion of the Mg ii h & k lines. We have used ≈50,000 synthetic representative profiles of the IRIS2 database to characterize the most important sources of uncertainties in the inversion process, viz.: the inherent noise of the observations, the random initialization process, and the selection criteria in a high-dimensional space. We have applied a Monte Carlo approach to this problem. Thus, for a given synthetic representative profile, we have created five randomized noise realizations (representative of the most popular exposure times in the IRIS observations), and inverted these profiles five times with different inversion initializations. The resulting 25 inverted profiles, fit to noisy data, and model atmospheres are then used to determine the uncertainty in the model atmosphere, based on the standard deviation and empirical selection criteria for the goodness of fit. With this approach, the new uncertainties of the models available in the IRIS2 database are more reliable at the optical depths where the Mg ii h & k lines are sensitive to changes in the thermodynamics.
Ultra-low-frequency Gravitational Waves from Massive Clusters at z ∼ 1
Authors: Wendt David K. , Romani Roger W.
Published: February 2023

Recent progress with pulsar timing array experiments, especially from the NANOGrav collaboration, indicates that we are on the cusp of detecting significant signals from the inspiral of supermassive black hole (BH) binaries. While recent analysis has focused on nearby galaxies as possible sources of the loudest signals, we show that mergers in identified clusters at z ∼ 1 can have larger strain amplitudes. We make an estimate comparing the nearby Two Micron All Sky Survey redshift survey (2MASS) galaxy sample with the more distant Massive and Distant Clusters of WISE Survey (MaDCoWs) cluster sample, showing that the latter might be expected to contribute more, and louder, gravitational-wave events. Thus, the first individual source detections may well be from ultramassive BHs in clusters at z ∼ 1, rather than nearby galaxies.
Correlation of Vitamin D Level and Bone Mineral Density in Epilepsy Children Who Received Oral Antiepileptic Drug
Authors: I Made Arimbawa  , Shanti Ayu Shintia
Published: February 2023

BACKGROUND: Vitamin D plays an essential role in achieving adequate bone mineralization. Antiepileptic drug (AED) will cause a change in calcium serum levels and bone mineral density (BMD) through increase catabolism of Vitamin D in the liver, as well as having a direct effect on the bone.
AIM: The aimed of this study was to know the correlation of Vitamin D [25(OH)D] level and BMD in epilepsy children who received oral AED.
METHODS: This cross-sectional study was conducted from May to September 2016. Subjects were collected using consecutive sampling in 1−11-year-old epilepsy children who went to the pediatric Neurology and Endocrinology outpatient clinic at Sanglah Hospital. Age, sex, body weight, body height, type and number of AED used, and duration of treatment were recorded. Measurement of 25(OH)D level and BMD was performed. Pearson test was used to analyze the strength of correlation based on normality test result.
RESULTS: Thirty subjects were collected, male (19/63.33%), mean age was 7.22 years, mean treatment duration was 1.71 years. Type of AED was inducer AED (18/60%) and non-inducer AED (12/40%). Mean Vitamin D level was 27.19 ng/mL and mean BMD was 0.78 g/cm2. Partial correlation test of Vitamin D level with BMD after controlling age found r = 0.118 with p = 0.54.
CONCLUSION: There was weak correlation between Vitamin D level and BMD in epilepsy children who received oral AED, but the correlation analysis was not sufficient to prove the relationship.
Correlation between Oral Thiamine as an Opioid Adjuvant and Cathecol-O-Methyltransferase Enzyme Levels in Cervical Cancer Patients
Authors: Syamsu Nur Surya Wirawan , Bastian Sirait Ferdinan , Ahmad Muh. Ramli , Gaus Syafruddin , Husain Alamsyah Ambo Ala , Datu Madonna D. , Zainuddin Andi Alfian
Published: February 2023

BACKGROUND: The high prevalence of cancer pain shows that a lot of the patients are undertreatment. Vitamin B is one of the additional alternative substances studied in cancer pain management. Thiamine is believed to modulate pain mechanisms in lowering the Cathecol-O-Methyltransferase (COMT) enzyme level.
AIM: The aim of the study was to assess the correlation between Oral Thiamine as an Opioid Adjuvant and COMT Enzyme Levels in Cervical Cancer Patients
METHODS: This research is a quasi-experimental study with a pre-test and post-test control group design. Patients in this study were 32 cervical cancer patients who experienced cancer pain, divided into two groups (treatment and control groups). The treatment group received morphine plus thiamine 500 mg/8 h/oral, and the control group received morphine alone. Measurement and evaluation of pain scores were carried out after 72 h of thiamine administration and blood collection was carried out again 4 h after the last thiamine administration to check thiamine levels and COMT. Then, data collection and analysis is being evaluated.
RESULTS: From 32 cervical cancer patients studied, there were differences in changes in numeric rating scale (NRS) levels and COMT levels in the thiamine treatment group.
CONCLUSIONS: The administration of thiamine can reduce COMT enzyme levels and clinically reduce NRS in cervical cancer patients. If it confirmed by other findings, thiamine might be considered for its use in the treatment of cancer pain.
Insect collecting bias in Arizona with a preliminary checklist of the beetles from the Sand Tank Mountains
Authors: Johnston M. Andrew , Waite Evan , Wright Ethan , Reily Brian , De Leon Gilma , Esquivel Angela , Kerwin Jacob , Salazar Maria , Sarmiento Emiliano , Thiatmaja Tommy , Lee Sangmi
Published: February 2023

The state of Arizona in the southwestern United States supports a high diversity of insects. Digitized occurrence records, especially from preserved specimens in natural history collections, are an important and growing resource to understand biodiversity and biogeography. Underlying bias in how insects are collected and what that means for interpreting patterns of insect diversity is largely untested. To explore the effects of insect collecting bias in Arizona, the state was regionalized into specific areas. First, the entire state was divided into broad biogeographic areas by ecoregion. Second, the 81 tallest mountain ranges were mapped onto the state. The distribution of digitized records across these areas were then examined.

A case study of surveying the beetles (Insecta, Coleoptera) of the Sand Tank Mountains is presented. The Sand Tanks are low-elevation range in the Lower Colorado River Basin subregion of the Sonoran Desert from which a single beetle record was published before this study.

The number of occurrence records, collecting events, and taxa are very unevenly distributed throughout Arizona and do not strongly correlate with geographic size of areas. Species richness is estimated for regions in Arizona using rarefaction and extrapolation. Digitized records from the disproportionately highly collected areas in Arizona do not begin to represent the total insect diversity within them. We report a total of 141 species of coleoptera from the Sand Tank Mountains based on 914 digitized voucher specimens. These specimens add important new records for taxa that were previously unavailable in digitized data and highlight important biogeographic ranges.

Possible underlying mechanisms causing bias are discussed and recommendations are made for future targeted collecting of undersampled regions. Insect species diversity is apparently at best 70% documented for the state of Arizona with many thousands of species not yet recorded. The Chiricahua Mountains are the most densely sampled region of Arizona and likely contain at least 2,000 species not yet vouchered in online data. Preliminary estimates for species richness of Arizona are at least 21,000 and likely much higher. Limitations to analyses are discussed which highlight the strong need for more insect occurrence data.
Sea turtle (Reptilia, Testudines) diversity and occurrence in the Azores Archipelago (NE Atlantic)
Authors: Barcelos Luís , Vandeperre Frederic , Parra Hugo , Barreiros João
Published: February 2023

Six species of marine turtles occur in the Azores Archipelago. The loggerhead, Caretta caretta (Linnaeus, 1758), is by far the most common species and is being constantly monitored and tagged by a joint project between the University of the Azores and the University of Florida since 1989. With the implementation of the tuna fishery observers (for dolphin safe seals), an increment of sea turtle reports has been verified as expected. The leather back turtle, Dermochelys coriacea (Vandelli, 1761) is the second most observed species in the Azores' EEZ, a fact probably also linked to the tuna fishery observation programme. All other species are occasional/vagrant albeit the green turtle, Chelonia mydas (Linnaeus, 1758) is more commonly seen than the others. Historically, sea turtles were occasionally taken for food in specific fishing villages and ports. Since 1986, sea turtles, as well as all marine mammals, are fully protected in the Azores although human-related activities (e.g. plastics, discarded fishing gear) do generate serious injuries and deaths.

In this paper, we update sea turtle species' checklist for the Azores and give detailed geographic coordinates on their known occurrences.
« Qui es-tu ? »
Authors: Gerl-Falkovitz Hanna-Barbara
Published: February 2023

Édith Stein compose en 1937 une neuvaine poétique pour la Pentecôte : ces vers permettent de mettre en perspective toute sa réflexion sur l’Esprit saint, qui vient parachever sa relecture phénoménologique de l’ontologie classique.
Homélie du dimanche 30 mai 1982 à Notre-Dame de Paris
Authors: Lustiger Jean-Marie
Published: February 2023

Là où l’homme est toujours tenté de douter de la toute-puissance et de la bonté de Dieu, la grâce de l’Esprit donne la foi et nous rend attentif non aux signes qui viennent de l’extérieur mais à l’oeuvre même de Dieu qui s’opère en ceux qui deviennent membres du Christ.
Homélie du dimanche 23 mai 1999 à Notre-Dame de Paris
Authors: Lustiger Jean-Marie
Published: February 2023

Qu’est-ce que la présence de l’Esprit saint ? Non « un événement qui surgit soudainement seulement un jour puis s’en va » mais, renversant la logique de Babel, « la force intime, cachée, permanente, qui peu à peu transfigure notre existence ».
Festival international du management socio-économique
Authors: Zardet Véronique , Bonnard Michelle
Published: February 2023

Pour consolider ses activités de recherche-intervention, le centre de recherche ISEOR a déployé trois dispositifs complémentaires autofinancés, pour produire et diffuser des connaissances innovantes en management : a) un colloque annuel mixte, à dominante professionnelle qui permet la co-évaluation des résultats de la recherche et se prolonge par la publication d’actes de congrès ; b) un colloque annuel international mixte, à dominante académique qui vise l’ouverture et les échanges multi-linguistiques ; c) une revue académique trilingue Recherches en sciences de gestion qui prône la diversité, la tolérance et la rigueur scientifique, créée et développée depuis 1978 avec une grande éthique .
A new hybrid approach based on genetic algorithm and support vector machine methods for hyperparameter optimization in synthetic minority over-sampling technique (SMOTE)
Authors: Akın Pelin
Published: February 2023

The crucial problem when applying classification algorithms is unequal classes. An imbalanced dataset problem means, particularly in a two-class dataset, that the group variable of one class is comparatively more dominant than the group variable of the other class. The issue stems from the fact that the majority class dominates the minority class. The synthetic minority over-sampling technique (SMOTE) has been developed to deal with the classification of imbalanced datasets. SMOTE algorithm increases the number of samples by interpolating between the clustered minority samples. The SMOTE algorithm has three critical parameters, "k", "perc.over", and "perc.under". "perc.over" and "perc.under" hyperparameters allow determining the minority and majority class ratios. The "k" parameter is the number of nearest neighbors used to create new minority class instances. Finding the best parameter value in the SMOTE algorithm is complicated. A hybridized version of genetic algorithm (GA) and support vector machine (SVM) approaches was suggested to address this issue for selecting SMOTE algorithm parameters. Three scenarios were created. Scenario 1 shows the evaluation of support vector machine SVM) results without using the SMOTE algorithm. Scenario 2 shows that the SVM was used after applying SMOTE algorithm without the GA algorithm. In the third scenario, the results were analyzed using the SVM algorithm after selecting the SMOTE algorithm's optimization method. This study used two imbalanced datasets, drug use and simulation data. After, the results were compared with model performance metrics. When the model performance metrics results are examined, the results of the third scenario reach the highest performance. As a result of this study, it has been shown that a genetic algorithm can optimize class ratios and k hyperparameters to improve the performance of the SMOTE algorithm.
Modeling and analysis of networked finite state machine subject to random communication losses
Authors: Han Weiwei , Zhang Zhipeng , Xia Chengyi
Published: February 2023

In networked control systems, channel packet loss is inevitable due to the restricted bandwidth, especially in control (from supervisory controller to some remote actuators), which will lead to the occurrence of failure control. In this paper, the controllability of networked finite state machine (NFSM) is investigated within the framework of matrix semi-tensor product (STP), where random channel packet losses are considered. Firstly, to capture the transition dynamics under random packet losses in the control channel, we introduce a stochastic variable to estimate the state evolution, and the variable is assumed to obey the Bernoulli binary distribution. Meanwhile, the NFSM with random channel packet losses can be expressed as a probabilistic logic representation. Subsequently, by means of the delicate operation of matrix STP, some concise validation conditions for the controllability with a probability of one ($ w.p. $ 1), are derived for NFSM based on the probabilistic logic representation. Finally, a typical computing instance is used to demonstrate the validity of the proposed method. The conclusions are conducive to study the security issues of the system involving opacity, fault detection, controller design and so on.
Expert Assessment of the Quality of Remote Educational Resources
Authors: Guraliuk Andrrii , Varava Iryna , Holovko Svitlana , Shapenko Liudmyla , Oleshchenko Veronika
Published: February 2023

The analysis of scientific works in the field of education showed that one of the problems of the educational process is the assessment of its quality. Many authors consider the qualimetric approach to be the most effective approach to the practical implementation of such an assessment.

While agreeing with scientists who study the application of qualimetry to as-sess the quality of education, the authors of this article focus on the use of the re-source approach. Consider the educational process itself as a set of these resources, united by defined interactions. This approach will allow individualization of learning both at the student level.

We consider the technology of constructing factor-criteria models with the involvement of specialized specialists in their development. This approach is based on the numerical interpretation of the results obtained using the method of expert assessments. We also offer the tools we have developed (either a special-ized program or a set of criteria for evaluation) to support the peer review of elec-tronic resources. We show that this toolkit, with minor changes, is applicable to the evaluation (ranking by qualitative features) of arbitrary resources of the educational process, which have such a characteristic as quality.

In addition, the use of the proposed approach makes it possible to use quali-metric monitoring as a tool for the educational process. In other words, to track the dynamics of changes in the state of the resources of the educational process and, using statistical methods, to establish their impact on the final result of education.
Examining Trajectories of Teacher Motivation in Correlation with Students’ Perceptions in Computer Science: Toward Sustainable Motivation to Teach
Authors: Marouf Rabab
Published: February 2023

Teacher motivation in higher education (HE) has proved to be susceptible to several external factors that are capable of consequently influencing the teaching and learning process. This study aims to examine the external factors impacting the trajectories of teacher motivation during their profession in computer science. In addition, the work investigates a new paradigm that depicts teacher motivation from both teachers’ and students’ perspectives. Surveys and interviews with students and teachers were used to collect qualitative and quantitative data. A Likert scale survey is used to identify students’ perceptions towards teacher motivation. The number of randomly selected survey respondents is approximately 100 undergraduates in computer science. Next, semi-structured interviews were conducted among twelve teachers from different laboratories in computer science. The interview questions are tailored based on the answers of the students’ survey. The findings are projected to provide suggestions that contribute to sustainable teacher motivation.
Data Security Mechanisms, Approaches, and Challenges for e-Health Smart Systems
Authors: Rafik Hamza , Maizate Abderrahim , Ettaoufik Abdelaziz
Published: February 2023

In the new era, the trend of using wearable devices and smart accessories gained considerable popularity and become a necessity utility for human life due to their major role to keep monitoring health conditions and providing healthcare services. The combination of IoT networks with edge computing paradigms develops an intelligent e-health system that aims to monitor different real-time scenarios. The deployment of an e-health system exposes several challenges regarding the security and privacy aspects, particularly in the case of dealing with an enormous quantity of medical data and the risk presented by exchanging operations with external entities. In this paper a comprehensive presentation covered the basic topics of e-health system layers thus the advantages and limitations in terms of existing challenges has been mentioned, subsequently, adapted to the exposed cyber risk through the traditional systems in exchanging medical data, a discussion of the blockchain technology come over for new application opportunities, where this approach efficiently ensure the security of data transactions over the network, in addition, an overview outlined the main research works related to this technology. Therefore, a presentation study of diverse works reveals different security framework solutions related to e-health system’s layers, furthermore, uncovering the benefits of integrating intelligent technologies such as Machine Learning (supervised, and unsupervised types), Deep Learning, and Reinforcement Learning as well as introducing a comparison analysis of multiple AI algorithm models based on their efficiency for future deployment related security purposes to provide a smart healthcare monitoring system that meets patient needs. The end of this review highlighted further research directions and the actual open challenges regarding the e-Health system’s limitations.
Clinical Decision Support Systems’ Usage Continuance Intentions by Health Care Providers in Jordan: Toward an Integrated Model
Authors: Imlawi Jehad
Published: February 2023

Health organizations in Jordan has just started adopting a nationwide health information system [Hakeem] including useful tools such as the clinical decision support system [CDSS]. Adopting CDSS by health care providers is not mandatory; However, the fruitful results of these tools can only be gained after adopted by the health care providers, and when they have the intentions to continue use it in the future.

The current study proposes a model that integrates factors from tow important theories of technology acceptance; Technology Acceptance Model [TAM], and Information Systems Success Model [ISSM] to predict the health care providers’ usage continuance intentions of CDSS in future. The study also checks if gender, experience, and CDSS alerts’ frequency has any moderation effects on the proposed research model. To assess the research model, data were collected from 218 participants via an online survey.

The proposed model has strongly predicted the CDSS usage continuance intentions [R2=0.486]. However, the moderators; gender, experience, and CDSS alerts’ frequency, partially moderate the proposed relationships. Conclusions: This research extends the growing literature on health information systems' adoption by building an integrated model that integrates factors from two well-established technology acceptance models, TAM and ISSM. The findings proved a significant impact of ISSM's factors [system quality, information quality, and satisfaction] on CDSS usage continuance intentions.
A Historical Review on Learning With Technology
Authors: Quan Zhi , Zhang Yueyi
Published: February 2023

Among the terms for technology-enhanced education, ‘e-learning' may be an umbrella one to cover various types; on the mobile platform, ‘mobile learning' or ‘m-learning' has gained a solid foothold. A historical review of the development from e-learning to m-learning may help draw a clearer picture of technology-enhanced education in history and in the future. The change of the major medium from computers to smartphones involves not only where learning may occur in the digital age but also how. M-learning shares some similarities with e-learning, for example, enhancing learner autonomy, yet facing the difficulty in assessing efficacy and effectiveness. In the meantime, with advancing mobile technology, m-learning can achieve higher portability and personalisation in three aspects: devices, materials, and learners. How to engage, retain, and motivate mobile learners in the informal and spontaneous settings merit more attention. Solid theoretical underpinnings and empirically validated practice in other disciplines may shed light on the avenues of future research.
Network Communication and Electronic Control Strategy of New Energy Vehicles Based on Cloud Platform in the IoT Environment
Authors: Tang Yufeng
Published: February 2023

Aiming at the low accuracy of network intrusion detection (In-De) in the traditional network communication strategy of new energy vehicles (NEVs), this paper proposes an electronic control (E-C) strategy for network communication of NEVs based on cloud platform in the internet of things (IoT) environment. First, based on the cloud platform and deep learning (D-L) algorithm, the E-C system model including sensor, actuator, gateway, and cloud platform is constructed, and on this basis, the edge computing model is introduced to efficiently handle information interaction and computing tasks. Then, by using Bi-LSTM neural network to train historical data in the cloud center layer of the system, a D-L method combining cloud and edge nodes is proposed. Finally, by introducing the AlexNet network into the model, the problem of gradient vanishing when the network is deep is solved and the training speed is accelerated.
Role of Candidate Key in Metadata for Data Analysis
Authors: Pradhan Padma Lochan
Published: February 2023

This proposed research paper focuses on the candidate key to generate a frequent pattern from the large dataset. The functional dependency and candidate key rolling are major activities for creating and collecting the exact pattern to support the decision support system. The functional dependency helps a decision support system to assemble metadata to resolve the uncertainty, unstructured, and unordered data. The large data sets (BigData) can be reassembled through Java programming faster and better by applying combinational algebra. The candidate key is directly proportional to the set of metadata. The large data sets are lively connected to the customer, manufacturer, vendor, order, and product key correctly at the right time. Therefore, the computational mechanism has to develop through the candidate key for better and faster data analysis. The knowledge and decision pattern can be acquired through mapping and integration of candidate key management.
Business Intelligence Tools for a Digital Services Company in Peru, 2022
Authors: Castro Gladys Marisol Merino , Aitken Higinio Guillermo Wong , Calvanapon Alicia Alicia
Published: February 2023

The objective is to propose the use of the business intelligence tool Microsoft Power BI to contribute to the best decision making in the digital services company; there are deficiencies in the ERP integrator system currently used in the company, impairing decision-making in management and corresponding headquarters. The research is of an applied type, considering as a sample those involved in the operation of the ERP integrator system. The analysis of the ERP integrator and business intelligence Power BI software was used, obtaining as results that the use of ERP integrator stores a large magnitude of data that is not easily understandable, complex reading of reports, and lack of statistical graphs. Business intelligence Power BI was applied as a solution tool, obtaining tables designed with complete and correct data, extraction of tables for their subsequent relationship, and understandable statistical graphics; Power BI allows collaborators greater understanding when reading results.
The Effect of Self-Regulated Learning in Online Professional Training
Authors: Men Qiwei , Gimbert Belinda , Cristol Dean
Published: February 2023

With the rapid expansion of mobile, blended, and seamless learning, researchers claim two factors, lack of self-discipline and poor time management, adversely impact learning performance. In online educational environments, reduced social interactions and low engagement levels generate high dropout rates. Self-regulated learning (SRL), the individual ability to check progress toward a goal and manage learning behavior, appears critical to adult online learning success. Clickstream data can observe, record, and evaluate patterns of users' real-time learning behavior in an online learning environment. Linking clickstream data with performance outcomes allows researchers to assess online learning behaviors and academic performance. The guiding research question was: Are students who apply SLR strategies more likely to demonstrate mastery of knowledge and skills in a self-directed e-learning context? Clickstream data and performance measures were analyzed to explore whether task and cognitive conditions influence how SLR strategies are applied in online training.
An M-Learning Model in the Context of the Blended Synchronous Learning Environment
Authors: Xiao Jun , Jiang Zhujun
Published: February 2023

Mobile learning provides more flexibility and holds considerable promise for improving the learning process and promoting lifelong learning. In order to reduce the sense of isolation felt by the learners, this research integrates mobile learning in the blended synchronous learning environment (BSLE). This study proposed a mobile learning model in BSLE at Shanghai Open University, and 51 students' satisfaction and engagement surveys were examined. The results showed that student satisfaction with instruction and with interaction can significantly predict behavioral engagement, while satisfaction with instruction and with technology can significantly predict psychological engagement. The findings prove that the mobile learning mode in the blended synchronous learning environments is effective and contributes to the predictors of student engagement. Thus, it can provide some insights to construct a more flexible and effective learning space.
Active Temporal Knowledge Graph Alignment
Authors: Zhou Jie , Zeng Weixin , Xu Hao , Zhao Xiang
Published: February 2023

Entity alignment aims to identify equivalent entity pairs from different knowledge graphs (KGs). Recently, aligning temporal knowledge graphs (TKGs) that contain time information has aroused increasingly more interest, as the time dimension is widely used in real-life applications. The matching between TKGs requires seed entity pairs, which are lacking in practice. Hence, it is of great significance to study TKG alignment under scarce supervision. In this work, the authors formally formulate the problem of TKG alignment with limited labeled data and propose to solve it under the active learning framework. As the core of active learning is to devise query strategies to select the most informative instances to label, the authors propose to make full use of time information and put forward novel time-aware strategies to meet the requirement of weakly supervised temporal entity alignment. Extensive experimental results on multiple real-world datasets show that it is important to study TKG alignment with scarce supervision, and the proposed time-aware strategy is effective.
Risperidone induced tardive movements in an elderly male-a case of cognitive decline masked by behavioral abnormalities
Authors: Veeraraghavan Vishnupriya , Agarwal Dinesh
Published: February 2023

Tardive dyskinesia is a drug emergent side effect associated with long-term exposure to neuroleptics. Risperidone has lesser propensity to cause tardive movements. A 67-year-old male presented with tardive symptoms. He had oromasticatory and limb movements. He was started on 2 mg of risperidone for agitation and behavioral disturbance 4 years ago. He also developed cognitive decline over the years. Clinician must be aware of the possibility of tardive movements with risperidone and the need for frequent evaluation of cognitive function in any elderly male.
Introduction and Summary
Authors: McMartin I , Kerr D E , McClenaghan M B , Duk-Rodkin A , Tremblay T , Parent M , Rice J M
Published: February 2023

This bulletin summarizes surficial geology knowledge and data produced by the Geo-mappingfor Energy and Minerals (GEM) program in the last decade and provides an updated understanding of the nature, distribution, and history of surficial deposits in various
glacial terrain types of Canada's North. The advancement in various aspects of surficial geology and the evolution of certain concepts and methods form the subject of the papers that make up this bulletin. Specifically, the papers discuss the status of surficial geology mapping in northern Canada
and the development of standards to facilitate map release; highlights from selected GEM surficial geochemical and indicator mineral surveys and the establishment of protocols for drift prospecting; and the revised glacial histories and surficial geology in various regions, from the Mackenzie
Mountains to the Labrador coast. This introductory paper to Bulletin 611 describes the scope of the publication and provides a summary of major surficial geology contributions to the GEM program in northern Canada. Remaining knowledge gaps and outstanding issues suggest ideas for future research
topics and regions of interest that could inform decisions on mineral exploration and land-use management.
Glacial history and limits of Cordilleran and Laurentide ice sheets in the Mackenzie Mountains, foothills, and plains, Northwest Territories: a brief overview
Authors: Duk-Rodkin A , Barendregt R W
Published: February 2023

This Mackenzie Mountains and foothills paper covers a large region of the southern and western parts of the Northwest Territories extending from the continental divide in the Cordillera to the Interior Plains. This is a summary of the glacial and preglacial
history of the region, supported by maps of glacial limits and surficial geology, as well as important stratigraphic and field-observation sites depicting remnant features of preglacial landscapes and the extent of continental glaciers.
New contributions to the ice-flow chronology in the Boothia-Lancaster ice-stream catchment area, Nunavut
Authors: Tremblay T , Lamothe M
Published: February 2023

Within the Boothia-Lancaster ice stream (BLIS) catchment area, ice-flow patterns were reconstructed based on the synthesis of striation directions and crosscutting relationships, transport patterns of erratic boulders, glacial landforms, cold-based glacial
landsystems, and ice-retreat chronology. New ArcticDEM data, high-definition satellite imagery, and multibeam echosounder bathymetric data sets provided increased details on ice-flow indicators. Convergent high-velocity ice flows through the BLIS main axis were major, persistent features in the
northeastern Laurentide Ice Sheet through the last glaciation, and this study highlights intensity fluctuations and ice-flow pattern variations that occurred during that time. Highly contrasting glacial geomorphology, notably in the abundance of moraines, reflects marked differences in ice-margin
retreat rates and patterns during deglaciation between the western and eastern sides of the BLIS.
Polyphase glacial dynamics and clast dispersal patterns in glaciofluvial and glacial sediments in north-central Quebec, with application to diamond exploration
Authors: Parent M
Published: February 2023

The regional dynamics of shifting ice-flow directions and ice-divide migrations were estab-lished in the Saindon-Cambrien corridor of north-central Quebec by two independent means: 1) the measurement of crosscutting striations; and 2) the glacial dispersal
patterns of distinctive lithological markers from outliers of the Sakami Formation. Clasts from two outliers were successively dispersed to the north-northeast, northwest, and west-southwest. They form composite dispersal trains consisting of 200 km long ribbon-shaped trains toward the
west-southwest and palimpsest trains caused by the westward re-entrainment of dispersal trains formed during earlier flow phases. Widespread evidence of basal sliding and abrasion recorded by striations associated with successive flow systems, together with the development of long dispersal trains,
indicates that protracted warm-based conditions prevailed in north-central Quebec. This improved understanding of glacial dynamics and dispersal in the core region of the eastern Laurentide Ice Sheet helps us to interpret the distribution of legacy kimberlite indicator mineral data sets in eskers
and to assess the diamond prospectivity of the Saindon-Cambrien corridor.
Association of Mean Platelet Volume with Acute Coronary Syndrome: A Case–Control Study
Authors: Dabhi Ajay , Jhala Ami , Raval Darshankumar Manubhai , Khan Shahin , Mallik Shashwat
Published: February 2023

Background:

Acute coronary syndrome (ACS) is a group of symptoms associated with acute myocardial ischemia and is one of the major causes of morbidity and mortality across the world. Its primary etiology is atherosclerosis which is crucially dependent on platelets, and hence, mean platelet volume (MPV) could be a new biomarker for predicting or diagnosing ACS. Our study aims to measure the MPV in patients of ACS and compares it with patients of noncardiac chest pain to evaluate its usefulness as a new marker for ACS.

Materials and Methods:

A case–control study with 50 cases and 50 controls was carried out in SSG Hospital, Vadodara, over a period of 1 year (November 2016–November 2017). ACS patients were identified according to inclusion and exclusion criteria and their MPV was compared to that of noncardiac chest pain patients.

Results:

The cases had a higher MPV as compared to the control group, with both males and females being affected, but a stronger association was seen in case of males.

Conclusions:

Raised MPV has shown significant association with ACS and the test has reasonable sensitivity and specificity, which warrants larger scale studies to confirm its utility as a biomarker for ACS.