bluuebunny/crossref_metadata_2025 huggingface dataset:
Gabriela Mistral y la incompletud de su biografía
Authors: Farías Rojas Gabriel Arturo
Published: March 2023

El objetivo de este artículo es reflexionar sobre la biografía de Gabriela Mistral gracias a perspectivas geográfica, histórico-filosófica y ética. Asimismo, la cuestión del cronotopo y subjetividad, como también el espacio biográfico en la construcción de la propia subjetividad serán de gran ayuda para comprender las vicisitudes en la actualización biográfica sobre Gabriela Mistral. La metodología se basa en la reconstrucción de su memoria y archivo contra el olvido de la autora en su diversidad. Como resultados esperados, la memoria nos ayuda a evitar la consolidación del mito mistraliano en el Chile republicano.
Ideas en la configuración de la realidad
Authors: Robles-Reinaldos Gerardo , Ortiz Martínez Antonio
Published: March 2023

La reflexión que se suscita presenta una visión sobre cómo en la experiencia estética la memoria emerge interfiriendo en el presente y alterando el tiempo continuo. Trataremos a través de la memoria desde diferentes visiones en las que, lejos de ser un archivo o catálogo, se plantea como un despliegue emocional de la experiencia. En la práctica artística se produce un ejercicio cognitivo que habilita la impresión de experiencias intensas. La característica que singulariza una obra de arte no solo está asociada al contexto de la misma sino que configura una realidad única ya sea en la recepción como en su participación activa.
Avanzando hacia el desarrollo íntegro de la persona: aproximación al concepto de inteligencia espiritual
Authors: Alarcón Orozco Elena
Published: March 2023

En el presente trabajo se expone un acercamiento al concepto de inteligencia espiritual como parte de la realidad bio-psico-socio-espiritual del ser humano, con el objetivo de generar la necesidad de una educación espiritual que complete la educación emocional y favorezca al desarrollo íntegro de la persona, como parte fundamental de la finalidad del sistema educativo.
Hermenéutica, ironía y sociedad
Authors: Mariscal Vega Sara
Published: March 2023

Este artículo presenta una investigación cualitativa sobre los conceptos de Hermenéutica e ironía desde la revisión del texto rortiano Contingencia, ironía y solidaridad. A través de un recorrido por la Historia de la razón filosófica se muestra cómo el compromiso hermenéutico con el mundo está atravesado por las ideas de solidaridad y contingencia. Finalmente, se propone una lectura del círculo hermenéutico como reivindicación de una sociedad preocupada por la justicia que reconoce la carencia de todo amparo metafísico.
Independencia e identidad nacional en Ecuador
Authors: Pardo Moreno Pablo
Published: March 2023

La historiografía ecuatoriana recoge tres formas de interpretar el proceso la independencia y fundación de Ecuador. Entre ellas, se encuentra la escuela patriótica, la materialista y la denominada escuela atlántica. Los dispositivos en el pensamiento foucaultiano pueden ser instituciones, normas, leyes, discursos, o simplemente posiciones respecto a temas históricos trascendentales. Estos dispositivos no son patrimonio de un sujeto político específico; por el contrario, tienen la capacidad de constituir o fortalecer a aquellos sujetos. Los dispositivos hallados con una mayor influencia en la historiografía de la independencia son el sistema educativo y las conmemoraciones independentistas.
mirada al pensamiento mágico de Giordano Bruno
Authors: Sánchez Aguirre Flor de María , Depaz Toledo Silvestre Zenón
Published: March 2023

El objetivo del estudio fue sistematizar y analizar el pensamiento filosófico de Bruno sobre la concepción de magia en el renacimiento. La importancia de la investigación fue entender la cosmovisión bruneana que sigue vigente en el desarrollo del avance de la ciencia. Siendo la conclusión que el concepto de mago es equivalente a sabio, y se manifiesta a través de los tipos de magia: Divina, Física, Matemática y en función del vínculo entre el mago y la naturaleza: magia natural, fantasmagórica, magia natural por virtud, magia matemática, de los desamparados, nigromancia, maléfico, adivinación y profecía.
semántica general: una ciencia para la vida común
Authors: Trujillo Liñán Laura
Published: March 2023

El lenguaje, los conceptos y las teorías científicas a partir de las cuales se han construido el mundo y la sociedad, han sido desarrolladas a partir de la influencia de intelectuales que dedicaron su vida a construir desde cero la ciencia como los griegos antiguos y más en concreto Aristóteles. Sin embargo, la ciencia no se apega a las situaciones cotidianas, la vida diaria, de aquí surge la teoría de la Semántica General por Alfred Korzybski que nos propone una nueva teoría no-aristotélica más acorde con las personas, con la cotidianidad.
The power of the arab caliphs in the byzantine literature of the 9th and 10th centuries
Authors: Filatov Alexey
Published: March 2023

The birth of Islam proclaimed a new age in the history of interreligious interactions in the Middle East. In the 7th century, the political map of the region has changed, and the Christian world encountered a new adversary represented by the first Islamic state known as Caliphate.
First of all, the transformation of the region influenced the consciousness of Eastern Romans (or Byzantines), whose state became a real barrier protecting Europe from the hordes of conquerors. Byzantine Empire held back the Arabian attacks for centuries, and the Caliphate was always regarded as «the state of evil» or «the Kingdom of Antichrist». Such tensions transferred to the rest of the Christian states and created a pattern for the general relation to Islam in Europe, which remained negative throughout all the Middle Ages.
The problem of religious interactions, conflicts and their mutual impact on the views of popular masses, scholars and different groups of society became a subject of numerous studies. Nevertheless, the scholars usually concentrate on the religious and theological aspects. This article is devoted to the issue which is often ignored in the scholarship, namely the image of secular power of the Muslim world in perception of Byzantine scholars. The investigation is based on texts of two authors, Theophanes the Confessor and the emperor Constantine VII Porphyrogenitus. Both of them use specific terminology towards the Caliphs, and these terms come from the ancient past. The analysis of such passages can tell us more about Byzantine ties with Arabian world and their special attitude to the phenomenon of the Eastern despotism.
The 1929 Conflict on the China-Eastern Railway in the Coverage of the Foreign Press (based on the materials of the Archive of Foreign Policy of the Russian Federation)
Authors: Nazemtseva Elena
Published: March 2023

The article analyzes the materials of the foreign press (European countries, USA) deposited in the Archive of the Foreign Policy of the Russian Federation concerning the Soviet-Chinese conflict of 1929 on the Chinese Eastern Railway. The documents are abstracts of articles from periodicals (newspapers "Kölnische Zeitung", "Berliner Tageblatt", "Manchester Guardian", "Chicago Daily News", "New York Times"), news agencies ("United Press", "Internews"). These materials cover the events on the Soviet-Chinese border from July to September 1929: armed provocations by China, the participation of Russian emigrants in them, the USSR’s response actions – the formation of a Special Far Eastern Army, the appointment of V.K. Blyukher as its commander, the operations of individual units of the USSR border troops. Considerable attention in the presented foreign telegrams is paid to the characteristics of the foreign policy of the Soviet Union during the period under review, the analysis of the position of the Chinese leadership, as well as the role of Japan in the settlement of the conflict and the attitude of the USSR, China and Japan to the intervention in the situation in the Far East of the states of Europe and the USA. Their analysis makes it possible to identify the peculiarities of the views of foreign political circles on the conflict and its participants – the USSR and the Republic of China, to characterize the opinion of the leading world powers regarding the international significance of the conflict.
REPRESENTACIÓN DE LA MARCHA FEMINISTA DEL 8 DE MARZO DE 2020 POR PARTE DE TRES MEDIOS DE COMUNICACIÓN DIGITALES EN MÉXICO
Authors: Hernández Solís María José
Published: March 2023

El presente artículo muestra un análisis de las representaciones sociales que los medios de comunicación periodística digitales más populares en México, tres en específico, hicieron sobre la marcha feminista del 8 de marzo de 2020 en la Ciudad de México.
Este análisis permitirá entender y determinar si las representaciones fabricadas por los medios fueron negativas o positivas para así valorar la incidencia que pudieran tener la opinión pública.
Es una investigación cualitativa ya que se pretende entender a profundidad la representación de los medios sobre la marcha durante la semana subsecuente a ésta. Así mismo, esta investigación está estructurada a partir de un diseño narrativo que permitirá reconstruir el orden en el que transcurrieron los hechos y así poder analizarlos detenidamente.
Nanofabrication and characterization of green-emitting N-doped carbon dots derived from pulp-free lemon juice extract
Authors: Cárdenas-Alcaide María Fernanda , González-González Reyna Berenice , Villalba-Rodríguez Angel M. , López-Pacheco Itzel Y. , Parra-Saldívar Roberto , Iqbal Hafiz M.N.
Published: March 2023

In this work, highly fluorescent green-emitting N-doped carbon dots (N-CDs) were derived from pulp-free lemon juice extract, as a green precursor, through a one-pot carbonization at 180 oC for 3 to 5 h. The newly fabricated N-CDs were thoroughly characterized using different imaging and analytical techniques, including Scanning electron microscopy (SEM), Fourier-transform infrared spectroscopy (FTIR), Fluorescence spectroscopy, X-ray diffraction analysis (XRD), and Ultraviolet-visible (UV-Vis) spectroscopy. The preliminary evaluation showed that N-CDs synthesized at 180 ºC for 3 and 5 hours emit bright green light under UV or blue light irradiation with a quantum yield of 16.33% and 21.80%, respectively. The fluorescence spectroscopic profiles revealed that as-developed N-CDs exhibit excitation-independent photoluminescence (PL) emission at 365 nm. FTIR profile reveals the functional group entities with evident peaks in 3190 cm−1, 1660 cm−1, 1580 cm−1, 1405 cm−1, 1365 cm−1, 1190 cm−1, and 1060 cm−1 regions, among others that correspond to the presence of N-H, C-H, C=O and C=N, C=C, C-H, COOH, C-O-C, and C-O. SEM unveils uniform and well-crystalline morphology of N-CDs.
INTEGRATION OF COUNSELING AND TEACHING: A CREATIVE PEDAGOGICAL PRAXIS
Authors: John Rages
Published: March 2023

The profile of teachers has undergone a change by the split up between advocacy and academics giving birth to counselling and teaching as separate professions. This sharp divide has serious economical and professional consequences specifically creating a gap between teachers and students. This paper is an evidence-based analysis for supporting the integration of teaching and counselling in the classroom situation. Qualitative data were drawn from theoretical views and models of accomplished teachers to emphasize that the role of a teacher is multifaceted which includes teaching, counselling, guidance, facilitating, and mentoring capable of rendering holistic support to the all-around development of students.
ભારતીય અર્થતંત્ર અને ઇનોવેશન
Authors: Ghosiya Kapil P.
Published: March 2023

ભારત 1.3 બિલિયન લોકોનું ઘર છે અને દેશ વિશ્વની યુવા વસ્તીનો પાંચમો હિસ્સો ધરાવે છે. આપણે ડેમોગ્રાફિક ડિવિડન્ડનો ઉપયોગ ઇનોવેશનને પ્રોત્સાહન આપવા અને રાષ્ટ્રને જ્ઞાન અર્થતંત્ર બનવા તરફ લઇ જવા કરી શકીએ છીએ. કોવિડ-19 રોગચાળાની કટોકટીની વિશ્વ પર નોંધપાત્ર અસર પડી છે, જેનાથી કટોકટી-પ્રેરિત નવીન (ઇનોવેટીવ) વિકાસ મોડલને ઉત્તેજન મળ્યું છે. સાયન્સ, ટેક્નોલોજી અને ઈનોવેશન પોલિસી 2020 એ 35 પરંપરાગત જ્ઞાન પ્રણાલીઓના મહત્વ પર ભાર મૂકે છે અને સ્વદેશી તકનીકોના વિકાસને પ્રોત્સાહન માટે તેમને ગ્રાસરૂટ ઈનોવેટર્સ સાથે એકીકૃત કરવાનો પ્રયાસ કરે છે.
કોવીડ-19 કટોકટીના સમયમાં ઇનોવેશનને વેગ મળ્યો. આરોગ્ય અને પરિવાર કલ્યાણ મંત્રાલય (MoHFW), કાપડ મંત્રાલય (MoT) સાથે મળીને, PPE કિટ અને N-95 માસ્કના સ્વદેશી પુરવઠાને વધારવામાં સક્ષમ રહ્યું. સરકાર અને ખાનગી ક્ષેત્ર પણ કોવિડ સંકટને અસરકારક રીતે સંબોધવા માટે તકનીકી ઉકેલો વિકસાવવા માટે એકસાથે આવ્યા હતા. જેમાં કોન્ટેક્ટ-ટ્રેસિંગ એપ્લિકેશન આરોગ્ય સેતુ અને વેક્સીન-મોનિટરિંગ એપ્લિકેશન CoWIN મહત્વપૂર્ણ રહ્યા. ઉપરાંત યોગ્ય સ્ટાર્ટ-અપ્સને ભંડોળ આપવા માટે, વિજ્ઞાન અને ટેકનોલોજી વિભાગે NIDHI (નેશનલ ઇનિશિયેટિવ ફોર ડેવલપિંગ એન્ડ હાર્નેસિંગ ઇનોવેશન્સ) પ્રોગ્રામ હેઠળ 'NIDHI4COVID2.0' લોન્ચ કર્યું.
પ્રસ્તુત પેપરમાં ભારતીય અર્થતંત્ર અને ઇનોવેશન વિશે સમજુતી આપવામાં આવી છે. પેપરમાં મુખ્યત્વે દેશના આર્થિક વિકાસ માટે ઇનોવેશન શા માટે જરૂરી છે? કોવીડ-19 કટોકટીના સમયમાં ક્યા ક્યા ક્ષેત્રોમાં ઇનોવેશનનો નોંધપાત્ર વિકાસ થયો? ભારતમાં ઇનોવેશન સામે ક્યા ક્યા પડકારો રહેલા છે? તેની વિગતવાર ચર્ચા કરવામાં આવી છે. આ અભ્યાસ સેકન્ડરી માહિતી પર આધારિત છે. મુખ્યત્વે નીતિ આયોગનો ઇન્ડિયા ઇનોવેશન ઇન્ડેક્સ રીપોર્ટ-2021, પ્રેસ ઇન્ફોર્મેશન બ્યુરોની જુદા જુદા વર્ષોની માહિતી, આર્થિક સર્વે-2021 વગેરેનો આધાર લેવામાં આવ્યો છે.
LIPID PEROXIDATION AND RETINAL PIGMENT EPITHELIUM: A REVIEW ARTICLE
Authors: Gelat Brijesh , Malaviya Pooja , Rathaur Pooja , Patel Binita , SR Kaid Johar
Published: March 2023

Reactive oxygen species (ROS) may be damaging to any biological system when their levels exceed those of antioxidants. ROS has both positive and negative effects. An imbalance of antioxidants and reactive oxygen species leads to oxidative stress (OS) (ROS. OS, which is more prevalent in elderly persons, is the cause of retinal diseases. Any damage to the retina that results in a reduction in visual acuity is referred to as retinopathy. Age-related macular degeneration (AMD), DR, and other retinal degenerative illnesses are caused by low antioxidant levels. Due to the presence of polyunsaturated fatty acids and photooxidative damage, the retina is especially vulnerable to OS. In vitro and in vivo antioxidant alterations in the retinal pigment epithelium were also noted. The fundamental mechanism must be understood since either OS causes retinopathies or the sickness creates stressful conditions in tissue or cells. We aimed to summarize the latest relationship between lipid peroxidation and retinopathies in the current review article.
THE COVID-19 PANDEMIC AND OFFICE SPACE DEMAND DYNAMICS
Authors: Oladiran Olayiwola , Hallam Paul , Elliott Lee
Published: March 2023

The COVID-19 pandemic led to the mass adoption of remote working and other office market dynamics. As firms continue to adapt to the changes caused by the pandemic through various work patterns, the potential implications for the office market are unclear. Using data from Knight Frank’s (Y)OUR SPACE (2021) survey, this paper employs probit and multinomial models to examine the relationship between COVID-19 related remote working and changes to firms’ office space strategies. The study confirms that the pandemic has significantly influenced firms’ medium-term office space use strategies, and the results show that firms’ perception of their employees’ work-from-home experience has influenced their strategy review. The results specifically show that a positive WFH experience increases the likelihood that firms will reduce their total space quantity, reduce their density of occupation, and negotiate shorter leases in the medium term. We further observe that the pandemic is likely to have weaker effects on space quality than on space quantity, implying that economic factors remain core priorities in future office space use strategies, while social and environmental factors may remain secondary. These insights extend the literature beyond the economic determinants of office space demand to other social factors.
Flares, Rotation, Activity Cycles, and a Magnetic Star–Planet Interaction Hypothesis for the Far-ultraviolet Emission of GJ 436
Authors: Loyd R. O. Parke , Schneider P. C. , Jackman James A. G. , France Kevin , Shkolnik Evgenya L. , Arulanantham Nicole , Cauley P. Wilson , Llama Joe , Schneider Adam C.
Published: March 2023

Variability in the far-ultraviolet (FUV) emission produced by stellar activity affects photochemistry and heating in orbiting planetary atmospheres. We present a comprehensive analysis of the FUV variability of GJ 436, a field-age M2.5V star (P
rot ≈ 44 days) that is orbited by a warm Neptune-sized planet (M ≈ 25 M
⊕, R ≈ 4.1 M
⊕, P
orb ≈ 2.6 days). Observations at three epochs from 2012 to 2018 span nearly a full activity cycle, sample two rotations of the star and two orbital periods of the planet, and reveal a multitude of brief flares. From 2012 to 2018, the star’s 7.75 ± 0.10 yr activity cycle produced the largest observed variations, 38% ± 3% in the summed flux of the major FUV emission lines. In 2018, the variability due to rotation was 8% ± 2%. An additional 11% ± 1% scatter at a cadence of 10 minutes, which is treated as white noise in the fits, likely has both instrumental and astrophysical origins. Flares increased time-averaged emission by 15% over the 0.88 days of cumulative exposure, peaking as high as 25× quiescence. We interpret these flare values as lower limits given that flares too weak or too infrequent to have been observed likely exist. GJ 436’s flare frequency distribution at FUV wavelengths is unusual compared to other field-age M dwarfs, exhibiting a statistically significant dearth of high-energy (>4 × 1028 erg) events, which we hypothesize to be the result of a magnetic star–planet interaction (SPI) triggering premature flares. If an SPI is present, GJ 436 b’s magnetic field strength must be ≲100 G to explain the statistically insignificant increase in the orbit-phased FUV emission.
Shock Heating of Incident Thermal and Superthermal Populations of Different Ion Species
Authors: Gedalin Michael , Roytershteyn Vadim , Pogorelov Nikolai V.
Published: March 2023

Using ion tracing in a model shock front we study heating of thermal (Maxwellian) and superthermal (Vasyliunas–Siscoe) populations of protons, singly charged helium, and alpha particles. It is found that heating of thermal and superthermal populations is different, mainly because of substantially higher ion reflection in the superthermal populations. Accordingly, the temperature increase of initially superthermal populations is substantially higher than that of the thermal ions. Heating per mass decreases with the increase of the mass-to-charge ratio because of the reduced effect of the cross-shock potential and, accordingly, weaker ion reflection. The findings are supported by two-dimensional hybrid simulations.
Geoeffectiveness of Interplanetary Alfvén Waves. I. Magnetopause Magnetic Reconnection and Directly Driven Substorms
Authors: Dai Lei , Han Yimin , Wang Chi , Yao Shuo , Gonzalez Walter , Duan Suping , Lavraud Benoit , Ren Yong , Guo Zhenyuan
Published: March 2023

In particular during the descending phase of the solar cycle, Alfvén waves in the high-speed solar wind streams are a major form of interplanetary disturbances. The fluctuating southward interplanetary magnetic field (IMF) of Alfvén waves has been suggested to induce geomagnetic activities through intermittent magnetic reconnection at the magnetopause. In this study, we provide in situ observational evidence for dayside magnetopause reconnection induced by such interplanetary Alfvén waves. Using multipoint conjunction observations, we show that the IMF B

z
from interplanetary Alfvén waves is transmitted through and amplified by the Earth’s bow shock. Associated with the intensified southward B

z
to the magnetopause, in situ signatures of magnetic reconnection are detected. Repetitively, interplanetary Alfvén waves transmit the intensified B

z
to the magnetosheath, leading to intervals of large magnetic shear angles across the magnetopause and magnetopause reconnection. Such intervals are promptly followed by hundreds of nanoTesla (nT) increases in the auroral electrojet indices (AE and AU) within 10–20 minutes. These observations are confirmed in multiple events in corotating interaction region-driven geomagnetic storms. To put the observations into context, we propose a phenomenological model of a strongly driven substorm. The substorm electrojet is linked to the enhanced magnetopause reconnection in the short timescale of re-establishing the ionosphere electric field and the two-cell convection. These results provide insights on the temporal patterns of solar wind magnetosphere–ionosphere coupling, especially during the descending phase of the solar cycle.
Crescent-shaped Molecular Outflow from the Intermediate-mass Protostar DK Cha Revealed by ALMA
Authors: Harada Naoto , Tokuda Kazuki , Yamasaki Hayao , Sato Asako , Omura Mitsuki , Hirano Shingo , Onishi Toshikazu , Tachihara Kengo , Machida Masahiro N.
Published: March 2023

We report on an Atacama Large Millimeter/submillimeter Array study of the Class I or II intermediate-mass protostar DK Cha in the Chamaeleon II region. The 12CO(J = 2–1) images have an angular resolution of ∼1″ (∼250 au) and show high-velocity blueshifted (≳70 km s−1) and redshifted (≳50 km s−1) emissions, which have 3000 au scale crescent-shaped structures around the protostellar disk traced in the 1.3 mm continuum. Because the high-velocity components of the CO emission are associated with the protostar, we concluded that the emission traces the pole-on outflow. The blueshifted outflow lobe has a clear layered velocity gradient with a higher-velocity component located on the inner side of the crescent shape, which can be explained by a model of an outflow with a higher velocity in the inner radii. Based on the directly driven outflow scenario, we estimated the driving radii from the observed outflow velocities and found that the driving region extends over 2 orders of magnitude. The 13CO emission traces a complex envelope structure with arc-like substructures with lengths of ∼1000 au. We identified the arc-like structures as streamers because they appear to be connected to a rotating infalling envelope. DK Cha is useful for understanding characteristics that are visible by looking at nearly face-on configurations of young protostellar systems, providing an alternative perspective for studying the star formation process.
Determining the Ionization Rates of Interstellar Neutral Species Using Direct-sampling Observations of Their Direct and Indirect Beams
Authors: Bzowski M. , Kubiak M. A. , Möbius E. , Schwadron N. A.
Published: March 2023

A good understanding of the ionization rates of neutral species in the heliosphere is important for studies of the heliosphere and planetary atmospheres. So far, the intensities of the ionization reactions have been studied based on observations of the contributing phenomena, such as the solar spectral flux in the EUV band and the flux of the solar wind protons, alpha particles, and electrons. The results strongly depend on absolute calibration of these measurements, which, especially for the EUV measurements, is challenging. Here, we propose a novel method of determining the ionization rate of neutral species based on direct sampling of interstellar neutral gas from two locations in space distant to each other. In particular, we suggest performing observations from the vicinity of Earth’s orbit and using ratios of fluxes of interstellar neutral He for the direct and indirect orbits of interstellar atoms. We identify the most favorable conditions and observations geometries, suitable for implementation on the forthcoming NASA Interstellar Mapping and Acceleration Probe mission.
Accessibility and Utilization of Telehealth Services During the COVID-19 Pandemic Among Medicare Beneficiaries by Diabetes Status
Authors: He Qing , Keith Daniel , Eckhoff Dawn O. , Park Chanhyun , Ng Boon Peng
Published: March 2023

Due to the influence types of telehealth services (i.e., phone and/or video) can have on patient care and outcomes, we sought to examine factors associated with the types of telehealth services offered and used among Medicare beneficiaries. We analyzed the Medicare Current Beneficiary Survey COVID-19 Public Use File (
N
= 1,403 and
N
= 2,218 for individuals with and without diabetes, respectively) and performed multinomial logit models to examine factors (e.g., sociodemographics, comorbidities, digital access/knowledge) associated with types of telehealth services offered and used among beneficiaries aged ≥65 years by diabetes status. Medicare beneficiaries seemed to prefer using telehealth via phone than video. Regardless of diabetes status, having not previously participated in video or voice calls or conferencing can be a barrier to telehealth being offered and used via video for beneficiaries. For older adults with diabetes, disparities in accessibility of telehealth via video by income and languages spoken other than English were observed. [
Research in Gerontological Nursing, 16
(3), 134–146.]
Experience of Operating Room Health Care Providers in the Management of Patients With Dementia
Authors: García-Sanjuán Sofía , Esteve-Ríos Antonio , Fernández-Alcántara Manuel , Valero-Soriano María
Published: March 2023

The management of hospitalized patients with dementia is more complicated compared to patients without dementia, specifically in the surgery ward. The aim of the current study was to explore the experiences of operating room health care providers in the management of patients with dementia. A descriptive qualitative study was designed. Twenty semi-structured interviews were conducted with surgical professionals. Content analysis was performed. Four main themes emerged:
Communication Issues
,
Experience-Based Protocol
,
Emotions
, and
Perceived Needs
. Health care providers in a surgical ward face numerous challenges when attending to patients with dementia and tend to use strategies based on their own experience due to lack of specific action protocols. Therefore, specific training of the surgical team and protocols are needed to ensure quality care. [
Research in Gerontological Nursing, 16
(3), 125–133.]
High-accuracy positivity-preserving numerical method for Keller-Segel model
Authors: Zhang Lin , Ge Yongbin , Yang Xiaojia
Published: March 2023

The Keller-Segel model is a time-dependent nonlinear partial differential system, which couples a reaction-diffusion-chemotaxis equation with a reaction-diffusion equation; the former describes cell density, and the latter depicts the concentration of chemoattractants. This model plays a vital role in the simulation of the biological processes. In view of the fact that most of the proposed numerical methods for solving the model are low-accuracy in the temporal direction, we aim to derive a high-precision and stable compact difference scheme by using a finite difference method to solve this model. First, a fourth-order backward difference formula and compact difference operators are respectively employed to discretize the temporal and spatial derivative terms in this model, and a compact difference scheme with the space-time fourth-order accuracy is proposed. To keep the accuracy of its boundary with the same order as the main scheme, a Taylor series expansion formula with the Peano remainder is used to discretize the boundary conditions. Then, based on the new scheme, a multigrid algorithm and a positivity-preserving algorithm which can guarantee the fourth-order accuracy are established. Finally, the accuracy and reliability of the proposed method are verified by diverse numerical experiments. Particularly, the finite-time blow-up, non-negativity, mass conservation and energy dissipation are numerically simulated and analyzed.
Dynamic analysis of a cytokine-enhanced viral infection model with infection age
Authors: Xu Jinhu
Published: March 2023

Recent studies reveal that pyroptosis is associated with the release of inflammatory cytokines which can attract more target cells to be infected. In this paper, a novel age-structured virus infection model incorporating cytokine-enhanced infection is investigated. The asymptotic smoothness of the semiflow is studied. With the help of characteristic equations and Lyapunov functionals, we have proved that both the local and global stabilities of the equilibria are completely determined by the threshold $ \mathcal{R}_0 $. The result shows that cytokine-enhanced viral infection also contributes to the basic reproduction number $ \mathcal{R}_0 $, implying that it may not be enough to eliminate the infection by decreasing the basic reproduction number of the model without considering the cytokine-enhanced viral infection mode. Numerical simulations are carried out to illustrate the theoretical results.
Dissipativity and contractivity of the second-order averaged L1 method for fractional Volterra functional differential equations
Authors: Yang Yin , Xiao Aiguo
Published: March 2023

This paper focuses on the dissipativity and contractivity of a second-order numerical method for fractional Volterra functional differential equations (F-VFDEs). Firstly, an averaged L1 method for the initial value problem of F-VFDEs is presented based on the averaged L1 approximation for Caputo fractional derivative together with an appropriate piecewise interpolation operator for the functional term. Then the averaged L1 method is proved to be dissipative with an absorbing set and contractive with an algebraic decay rate. Finally, the numerical experiments further confirm the theoretical results.
The Use of Knowledge Correlation for Classification and Evaluation of a Distance Education Teaching Resource Database
Authors: Ma Xiaoyi
Published: March 2023

Teaching information resource database is an important part of distance education in schools. Understanding the classification and characteristics of teaching resources in teaching information resource database can help teachers to search teaching resources more pertinently and make better use of these resources in actual teaching. Therefore, this article studies the classification and evaluation of distance education teaching resource database based on knowledge network. Combining the LSTM model and the conditional random field model, the resource entities that the target resource design knowledge points refer to are extracted from the resource text string of the teaching resource database. The resource entities that the extracted knowledge point refer to are matched and correlated with other resource entities related to the knowledge point in the teaching resource database, so as to realize the link of resource entities in the teaching resource database based on the concept of knowledge points. Starting with the feature extraction of resource text, this article innovates the resource classification algorithm of teaching resource database, and shows the new algorithm flow of feature extraction of resource text. Experimental results verify the effectiveness of the model.
E-Assessment: Character of Students in Elementary School
Authors: Asrial  , Syahrial  , Dwi Agus Kurniawan  , Rahmat Perdana  , Rizka Octavia Sandra
Published: March 2023

This study aims to determine the teacher's response to the use of e-assessment of character in elementary school students; knowing the results of the assessment of the character of love for the homeland, tolerance, and discipline; comparing the results of character assessment in three schools, knowing the validity and feasibility of e-character assessment. This research is a research & development research using quantitative data and qualitative data. The research sample consisted of 55 students at SD Negeri 034/I Teratai, 58 students at SD Negeri 045I Sridadi, and 61 students at SD Negeri 064/I Muara Bulian obtained by purposive sampling technique. The data collection technique uses a love of the homeland, tolerance, and discipline questionnaire. Analysis of quantitative data using descriptive statistics and inferential statistics in the form of one way ANOVA test, post-hoc further test in the form of Tukey HSD test and qualitative data using the Miles and Huberman technique. The results showed that teachers have a very good response to the use of e-assessment. The developed e-assessment product is in the very good category so it is feasible to use
Machine Learning Based Phishing Attacks Detection Using Multiple Datasets
Authors: Aljammal Ashraf H. , Taamneh Salah , Qawasmeh Ahmad , Bani Salameh Hani
Published: March 2023

Nowadays, individuals and organizations are increasingly targeted by phishing attacks, so an accurate phishing detection system is required. Therefore, many phishing detection techniques have been proposed as well as phishing datasets have been collected. In this paper, three datasets have been used to train and test machine learning classifiers. The datasets have been archived by Phish-Tank and UCI Machine Learning Repository. Furthermore, Information Gain algorithm have been used for features reduction and selection purpose. In addition, six machine learning classifiers have been evaluated, namely NaiveBayes, ANN, DecisionStump, KNN, J48 and RandomForest. However, the classifiers have been trained and tested over the three datasets in two stages. The first stage is using all features included in each dataset while the second stage using selected features by IG algorithm. At the first stage RandomForest classifier has shown the best performance over Dataset-1 and Dataset-2, while J48 has shown the best performance over Dataset-3. On the other hand, after features selection, the RandomForest classifier was the superior among the other five classifiers over Dataset-1 and Dataset-2 with accuracy of 98% and 93.66% respectively. While ANN classifier has shown the best performance with accuracy of 88.92% over Dataset-3. Because of the few number of instances as well as features in Dataset-3 comparing to the other two dataset; the performance of the classifiers has been affected.
Perceived Corruption in the Process of the Entrepreneurial Intention
Authors: Heydari Mohammad , Fan Yanan , Li Xiaoyang , Lai Kin Keung
Published: March 2023

Several factors like cognitive attitude, norms, and behavioral control still influence corruption. Ajzen theory states that social and psychological aspects can be antecedents. This research looks into the variables of the theory of planned behavior (TPB) to anticipate the effect of perceived corruption (PC). Considering the primary entrepreneurial deterrent, the dataset is based on 400 Polish graduate students' entrepreneurial intents and behavior who graduated from higher education programs at eight universities in Poland. These three variables were examined for their influence on corrupt perception and behavior. This study explores the attitude and behavior of corruption/fraud by using Ajzen's TPB. This is accomplished by paying closer attention to the impact of cognition attitude (CA), subjective norm (SN), and perceived behavioral control (PBC), which influence the intention to commit corruption. This provides a solid theoretical basis for this research.
Principles-Based Accounting Standards
Authors: Ajekwe Clement Chiahemba M.
Published: March 2023

Principles-based accounting standards (PBS) are imbued with high levels of flexibility that enable any company to apply accounting policies that suit its unique circumstances. The use of PBS necessarily leaves much room for extensive use of the ‘ingredients or elements of accounting flexibility' including, estimates, multiple measurement types, and professional judgments to select accounting policies and make decisions around ‘materiality'. By invoking these flexibilities, entities can manipulate financial numbers and perpetuate improper acts that significantly impact the fairness of published general-purpose financial statements particularly the financial position and financial performance. This chapter concluded that while flexibility embedded in PBS is inevitable and necessary in financial reporting, its unintended consequence is to facilitate aggressive optimistic or pessimistic (as opposed to neutral) reporting practices. The flexibilities inherently pervasive in PBS can constitute the slippery slope through which fraudulent actions and reporting could be perpetuated.
Enterprise Risk Management and Shadow Banking Systems
Authors: de Nichilo Stefano
Published: March 2023

Banking regulations are beneficial to limit bank' portfolios against excessive risk-taking. The introduction of enterprise risk management (ERM) allows banks to enhance their capabilities to identify risks accurately and manage them to minimize unexpected costs or losses. During the last few years, the European Court of Auditors highlighted the importance of “special reports” that examine the economy, efficiency, and effectiveness of EU spending. This European institutional focus argues that shadow banking improves welfare because it provides a channel to escape excessive regulation that is asymmetrically more valuable for banks or European paying agencies with access to efficient investment opportunities. Performance audits, alongside traditional financial and compliance audits, allow the EU to understand, validate, and reform their own policies and programs. This study contributes theoretically and empirically regarding the fraud and management bad practice of agile marketing concepts in the context of digital transformation and international business.
The Uses of Cannabinoids in Medicine and Their Spectroscopic Applications
Authors: Er Alev , Çelik Sefa
Published: March 2023

Cannabis is a genus of flowering plants in the Cannabaceae family and generally has three species, Cannabis sativa, C. indica, and C. ruderalis. Tetrahydrocannabinol (THC) and cannabidiol are well-known cannabinoids found in cannabis. The elucidation and characterization of the structures of cannabinoids used in the treatment of various diseases is one of the most important steps. Vibrational spectroscopy, FTIR, and Raman spectroscopies are spectroscopic techniques that have been important in characterizing the molecular properties and functional groups of cannabinoids. Over the years, this technique, which analyzes samples in a fast, environmentally-friendly, and non-destructive manner has shown great success in drug analysis and has led to great technological developments accordingly. This chapter presents a historical overview of the uses of cannabinoids in medicine, explains the applications of QR codes in the field of medical cannabis, and offers examples of characteristic vibrational wavenumbers of natural and synthetic cannabinoids using FTIR and Raman spectroscopies.
Promoting Learner Self-Regulation in Blended Learning
Authors: Bergin Jeff
Published: March 2023

The author proposes a comprehensive process for applying established self-regulated learning models, strategies, scaffolding, and assessments to any online or blended program, course, or experience. The process draws upon the self-regulated learning model proposed by Barry J. Zimmerman, one of the leading self-regulated learning scholars, as well as contributions from a variety of self-regulated learning scholars, pedagogical researchers, and learning scientists. The chapter provides a step-by-step procedure for incorporating self-regulated learning strategies regardless of the reader's familiarity with online and blended learning, instructional design processes and principles, and self-regulated learning strategies and techniques.
When Learning Is Too Good to Be True
Authors: Zaromb Franklin M. , Roberts Richard D.
Published: March 2023

Students today enjoy unprecedented freedom and autonomy to choose and manage what, when, where, and how they learn. However, many students squander these opportunities by embracing learning techniques that, at best, can help them attain short-term performance objectives but are relatively ineffective at fostering long-term learning and retention. This chapter describes research findings that highlight and address some of the most common misconceptions and cognitive biases that can impede or undermine self-regulated learning processes. The authors propose several research-based recommendations for addressing these misconceptions and biases in the design of self-regulated learning programs and curricula. These include integrating “desirable difficulties” in learning; instructing students about effective learning strategies along with common myths, misconceptions, and biases of learning; and tailoring interventions to improve critical social and emotional learning skills and mitigate relevant cognitive biases.
Perception as Reality
Authors: Finn Bridgid , Jackson G. Tanner , Hebert Delano
Published: March 2023

Self-regulated learning (SRL) is a well-known concept within the field of online learning; however, tracking, interpreting, and scaffolding effective SRL strategies can be challenging. SRL encompasses complex and dynamic processes involved in monitoring and controlling the cognitive, motivational, and behavioral components of learning. Such processes include task interpretation, application of knowledge and strategies to solving that task, and monitoring the relative success of implementing a particular strategy. Metacognitive monitoring is a critical component of effective implementation of SRL. Without accurate monitoring, a learner doesn't have adequate information to know whether and how to adjust their learning choices. This chapter discusses two studies that explore how feedback valence influences learners' metacognitive perceptions of their performance and how those (mis)perceptions impact both their expectations for future success as well as SRL choices for a subsequent task.
Comparative Study of Some Nature-Inspired Meta-Heuristics for Task Scheduling in a Computational Grid System
Authors: Ghosh Tarun Kumar , Dhal Krishna Gopal , Das Sanjoy
Published: March 2023

Grid computing has emerged as an intelligent distributed computing paradigm due to the huge improvements in performance of wide-area network and powerful yet low-cost computers. Computational grids accumulate and share the power of heterogeneous, geographically dispersed, and multi-domain-administered computational resources to offer high performance or high-throughput computing. To realize the promising potential of computational grids, an effective and efficient task scheduling system is primarily important. Task scheduling in computational grid is one of the most challenging and complex tasks. In other words, the task scheduling in computational Grid is considered as NP-hard problem due to the problem complexity and intractable nature of the problem. Such a problem could be solved using meta-heuristic algorithms. In this chapter, several nature-inspired meta-heuristics are compared with respect to the parameters (i.e., minimization of makespan and flowtime) for scheduling tasks in computational grids. The nature-inspired meta-heuristics involved in this chapter are genetic algorithm (GA), particle swarm optimization (PSO), ant colony optimization (ACO), and cuckoo search (CS) algorithms. Experimental results show that the GA outperforms the other methods in terms of average makespan and the PSO algorithm performs best among all 4 algorithms in terms of average flowtime.
Study of the Image Segmentation Process Using the Optimized U-Net Model for Drone-Captured Images
Authors: Mukherjee Gunjan , Chatterjee Arpitam , Tudu Bipan , Paul Sourav
Published: March 2023

Aerial views of the scenes captured by UAV or drone have become very familiar as they easily cover the wide view of the scene with different terrain types and landscapes. The detection of the scene images captured by drone and their subparts have been done on the basis of simple image processing approach involving the pixel intensity information. Many computer vision-based algorithms have successfully performed the tasks of segmentation. The manual approach of such segmentation has become time consuming, resource intensive, and laborious. Moreover, the perfection of segmentation on the irregular and noisy images captured by the drones have been lowered to greater extents with application of machine learning algorithms. The machine learning-based UNet model has successfully performed the task of segmentation, and the performance has been enhanced due to optimization. This chapter highlights the different variations of the model and its optimization towards the betterment of accuracy.
Distributed Technologies and Consensus Algorithms for Blockchain
Authors: Jayapal Cynthia , Sudhahar Clement
Published: March 2023

Centralized and decentralized systems are prone to security breaches while storing private data. It is challenging to establish trust when an administrator is not known. Blockchain-based technologies use distributed ledgers that can be trusted, audited, validated, and verified by network nodes. The assets stored in a blockchain are immutable, timestamped, and cannot be tampered because of the integrated cryptographic mechanisms. Consensus algorithms are used to validate the transactions and blocks stored in a blockchain. Multiple research reviews focus either on various application domains of blockchain or comparative study of consensus algorithms or security aspects. This chapter aims at providing a comprehensive review on blockchain technologies, performance metrics, and guidelines for choosing a blockchain technology and consensus algorithm based on an organization's requirements and protocols. This chapter also captures concepts on blockchain types, consensus algorithms, and typical applications of blockchain with its features.
An Image Steganography Approach Using Arnold Transformation
Authors: Pattanayak Solanki , Samanta Sabyasachi , Dey Dipankar , Sarkar Abhijit , Bhattacharyya Souvik
Published: March 2023

Sleuthing images that conceal information has continuously been a stimulating and difficult problem in cyber security. Finding hidden data in nursing image is called steganalysis. In this chapter, the authors explore the method employed in the study. The investigational results are have included followed by a discussion with prospect analysis. Several 2×2 blocks are recycled to implant the data bits within the stego-image, and using the Arnold Map, four quadrants of the pixels of each block is selected to embed the data in nonlinear bit position. Different measures with the change of BPP (bits per pixel) are also worked out.
Machine Learning-Based Algorithms Towards Crop Recommendation Systems
Authors: Roy Soumya , Vatsa Yuvika , Sahoo Moumita , Karan Somak
Published: March 2023

Technology is now playing a critical role in many industries to overcome challenges and get better and optimum results. The farming industry in India significantly affects the country's economy. The agricultural sector continues to employ half of the nation's workforce. The majority of agricultural activities in the nation still use outdated methods, and technical advancement is modest. Effective technology can be applied to this industry to maximize yield and minimize difficulties. Thus, based on the weather, moisture, and season, the machine learning-based farming solution may provide a crop recommendation system that aids farmers in selecting the appropriate crop to sow in their field. This work used six classifiers to recommend best fitted crop depending on soil as well as environmental parameters. It has been observed that the highest accuracy score has been achieved by Naïve Bayes followed by SVM – SVC, decision tree, KNN, SVM – NuSVC, and logistic regression classifier.