bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of Continuous Glucose Monitoring on Glycemic Control and Lifestyle Changes among Diabetes Patients: Evidence from a Diverse Indian Cohort
Authors: Dey Amit Kumar , Gupta Manisha , Gokalani Rutul
Published: October 2024

Background:

Continuous glucose monitoring (CGM) has emerged as a pivotal technology in diabetes management, offering real-time insights into glucose fluctuations. This study aims to assess the impact of CGM on glycemic control and lifestyle changes among diabetes patients in India.

Methodology:

A retrospective observational study was conducted on a cohort of 556 diabetes patients from 3 diabetes centers across India. Data were collected using a structured questionnaire focusing on demographics, CGM usage patterns, lifestyle changes, and glycemic outcomes, particularly hemoglobin A1c (HbA1c) levels. The analysis included descriptive statistics and inferential methods, such as paired t-tests and regression analysis, to evaluate the relationship between CGM usage and changes in glycemic control and lifestyle behaviors.

Results:

The study revealed a significant reduction in HbA1c levels, with an average decrease of 0.85% across the cohort. A higher frequency of CGM use was associated with greater improvements in glycemic control. Patients who made dietary improvements and managed stress levels effectively, as guided by real-time CGM feedback, exhibited more pronounced reductions in HbA1c. The study also identified that demographic factors such as age and gender had minimal influence on glycemic outcomes. A clustering analysis grouped patients based on their HbA1c improvement, identifying distinct patterns of lifestyle changes and CGM usage.

Conclusion:

CGM significantly improves glycemic control and promotes positive lifestyle changes among diabetes patients in India. The findings underscore the importance of frequent CGM usage and patient engagement in achieving optimal outcomes. Despite the challenges related to cost and accessibility in the Indian context, CGM presents a valuable tool for enhancing diabetes management. Future research should focus on optimizing CGM usage patterns and addressing barriers to its widespread adoption.
Diabetic peripheral neuropathy and neuromodulation techniques: a systematic review of progress and prospects
Authors: Mittal Rahul , McKenna Keelin , Keith Grant , McKenna Evan , Lemos Joana R. N. , Mittal Jeenu , Hirani Khemraj
Published: October 2024

Neuromodulation for diabetic peripheral neuropathy represents a significant area of interest in the management of chronic pain associated with this condition. Diabetic peripheral neuropathy, a common complication of diabetes, is characterized by nerve damage due to high blood sugar levels that lead to symptoms, such as pain, tingling, and numbness, primarily in the hands and feet. The aim of this systematic review was to evaluate the efficacy of neuromodulatory techniques as potential therapeutic interventions for patients with diabetic peripheral neuropathy, while also examining recent developments in this domain. The investigation encompassed an array of neuromodulation methods, including frequency rhythmic electrical modulated systems, dorsal root ganglion stimulation, and spinal cord stimulation. This systematic review suggests that neuromodulatory techniques may be useful in the treatment of diabetic peripheral neuropathy. Understanding the advantages of these treatments will enable physicians and other healthcare providers to offer additional options for patients with symptoms refractory to standard pharmacologic treatments. Through these efforts, we may improve quality of life and increase functional capacity in patients suffering from complications related to diabetic neuropathy.
Application of Probability Statistics of Set Algebraic Systems Based on Data Mining in the Energy Field
Authors: Yu Jianxi
Published: October 2024

As the global demand for energy continues to grow and the rapid development of renewable energy sources, the energy sector faces complex data processing and analysis challenges. This paper discusses the probabilistic and statistical application of set algebraic system based on data mining in the field of energy, uses data mining technology to effectively integrate multidimensional data such as energy consumption, production and distribution, and uses set algebraic system to build data models. Then, probabilistic statistical methods are used to analyze the energy data to identify potential patterns and trends. Evaluate the economic and environmental impacts of different energy technologies through case studies. The research shows that the set algebra system based on data mining can effectively improve the ability to analyze energy data and help identify the key drivers of energy consumption. At the same time, probability statistical analysis can predict the effects of different energy policies after implementation, providing data support for decision-making. The utilization rate of renewable energy significantly reduces carbon emissions after adopting this method. Therefore, the set algebra system based on data mining combined with probability statistics provides an innovative solution for the energy field, which can better data analysis and decision support, and promote the efficient use of energy and sustainable development.
TUBE BENDING RADIUS
Authors:   G-3, Aerospace Couplings, Fittings, Hose, Tubing Assemblies
Published: October 2024

This standard establishes basic design criteria including preferred bend radii, straight lengths between bends, flattening and surface conditions in the bend area. Also included is a table of preferred tubing sizes and wall thicknesses and a formula for determining a minimum bend radius for a given tube diameter.
V2X Communications Message Set Dictionary™ ASN File
Authors:   V2X Core Technical Committee
Published: October 2024

This set of Abstract Syntax Notation (ASN.1) modules contains the precise definitions of data structures used in the SAE J2735 standard. Using the ASN.1 specification, a compiler tool can produce libraries that enable software applications to use the data structures and produce corresponding encodings (UPER is typically used to encode J2735 messages).

The J2735 Standard specifies a message set, data frames and data elements, specifically for use by V2X applications. Although the scope of the standard is focused on V2X, the message set may also be used in other types wireless communications systems. In some cases the specific requirements for use of messages, data frames and data elements are defined in other standards. Refer to the SAE J2735 standard for more information.

You may also be interested in:

V2X Communications Message Set Dictionary™ the J2735 PDF.

V2X Communications Message Set Dictionary™ SET File that includes the J2735 ASN File and the J2735 PDF (ZIP format) - download purchase only.
V2X Communications Message Set Dictionary™ SET File
Authors:   V2X Core Technical Committee
Published: October 2024

This set of Abstract Syntax Notation (ASN.1) modules contains the precise definitions of data structures used in the SAE J2735 standard. Using the ASN.1 specification, a compiler tool can produce libraries that enable software applications to use the data structures and produce corresponding encodings (UPER is typically used to encode J2735 messages).

The J2735 Standard specifies a message set, data frames and data elements, specifically for use by V2X applications. Although the scope of the standard is focused on V2X, the message set may also be used in other types wireless communications systems. In some cases the specific requirements for use of messages, data frames and data elements are defined in other standards. Refer to the SAE J2735 standard for more information.

You may also be interested in:

V2X Communications Message Set Dictionary™ the J2735 PDF.

V2X Communications Message Set Dictionary™ J2735 ASN File that includes the ASN file (ZIP format) - download purchase only.
O Provedor de Justiça no contexto do dever de cooperação em Angola
Authors: Dala Bruno , Damião Bombo , Joaquim Lukamba
Published: October 2024

O presente estudo teve como objectivo analisar as consequências do incumprimento do dever de cooperação para a figura do Provedor de Justiça e os cidadãos, bem como, identificar a frequência de resposta aos ofícios que o Provedor de Justiça remete às entidades visadas. Trata-se de uma pesquisa documental cujas fontes de dados derivam de três relatórios anuais referentes às actividades desenvolvidas pelo Provedor de Justiça no ano 2016, 2020 e 2021. Os dados quantitativos obtidos por meio dos relatórios receberam tratamento estatístico através do SPSS e Excel. As variáveis analisadas no estudo foram: participação segundo o género, proveniência das participações, assuntos mais recorrentes e entidades visadas. Os resultados obtidos destacam que o incumprimento do dever de cooperação demonstra violação dos direitos, das liberdades e garantias dos cidadãos. O estudo evidenciou que grande parte dos órgãos da administração pública ou instituições visadas continuam a não responder ao Provedor de Justiça, no ano de 2016 (cerca de 78% dos ofícios não foram respondidos), em 2020 (cerca de 61% dos ofícios não foram respondidos) e no ano 2021 (cerca de 48% dos ofícios não foram respondidos). Finalmente, que o dever de cooperação seja exercido como um verdadeiro caminho para resolução de diversas questões sociais, políticas, culturais e económicos.
The postmodern theologians and Hermen Kroesbergen on the language of the spirit world in Africa
Authors: Oladipupo Sunday Layi
Published: October 2024

In this paper, I critically assess Hermen Kroesbergen’s claim on the southern Africans’ use of language regarding the spirit world. Kroesbergen divulges that a careful examination of southern Africa’s references to the spirit world is a response to the world or what remains mysterious and beyond expression. While Kroesbergen assesses the critical realist and postmodern theologians concerning reference to the spirit world, I pitch my tent with the postmodern theologians within the context of the language of the spirit world among Pentecostal West Africans. Even when I admire Kroesbergen’s reliance on Ludwig Wittgenstein’s linguistic approach to religion as  a theoretical framework, I build on the discourse on mysticism and consciousness by William James to defend the postmodern theologians. To strengthen my principal thesis that the Pentecostal West African response to the world is neither metaphorical nor a   response to the unexplainable, I use Ifá divination system as a paradigm to show that Pentecostal West Africans and their belief in the  spirit world undergirds the urgency to explain, control and predict the spirit world.
Employee retention and organizational performance in Higher Learning Institutions: Case of the University of Rwanda
Authors: Bimenyimana Pierre Celestin , Rusagara Jean Bosco , Harorimana Aimable , Mathieu Hakizayezu , Gerard Bikorimana , Josiane Umuhoza Karemera Noella , Ngabonziza Issa
Published: October 2024

The study aims to analyze the influence of employee retention on an organization’s performance at the University of Rwanda. The study used quantitative design, and a survey questionnaire was administered among a sample of employees. Data were analyzed using frequencies, percentage, analysis of variance and correlation. Independent variables such as attractive remuneration packages (0.882), training and development (0.782), and rewards and recognition (0.811) have strong relationship with the organizational performance. Thus, employee retention remains one of the biggest challenges for the sustenance of organization and the leaders as well. The survey has identified the key factors that lead to the retention of employees in Higher Learning Institutions.
Synthesis and Biological Activity of Mixed Ligand Metal Complexes of 6-Mercaptopurine - Nicotinamide
Authors: Ayinla Sheriff O. , Rajee Abdullah O. , Yusuff Kamil O. , Mbaeyi Ginikachukwu G. , Busari Hassan K. , Obaleye Joshua A.
Published: October 2024

Biological activity of a ligand improves when it is coordinated with a metal ion. Mixed ligand metal complexes of 6-mercaptopurine and  nicotinamide were synthesized using one-pot synthetic methods. Spectroscopic methods were used to characterize the mixed ligand  metal complexes. The spectroscopic analysis of the complexes supports the formation of the compounds in which the exocyclic sulphur  (S-6) atom on the pyrimidine ring of the 6-mercaptopurine and its N(7) atom of the imidazole ring allow the ligand to act as bidentate  while the nicotinamide coordinates as a monodentate ligand only through the nitrogen atom of its pyridinic ring. Thermogravimetric  analysis of the compounds is in agreement with the proposed structures. Evaluation of the thermodynamic activated parameters of the  complexes shows high positive values for the ΔG and negative values for the entropy of activation, which is an indication that the  decomposition of the complexes is non-spontaneous and the compounds have a more ordered structure compared to the ligands. The  DFT studies revealed low LUMO–HOMO energy gap (ΔE) values of 3.255 eV and 1.029 eV for the compounds (1) [Zn(mp)(nic)EtOH] and (2)  [Ni(mp)(nic)(Ac)].4H2O respectively, in ethanol medium. Compound (1) is a better antioxidant agent compared to compound (2) but  compound (2) shows improved antimicrobial activity compare to compound (1). Experimental results show improved antioxidant activity  for the [Zn(mp)(nic)EtOH] complex, which correlates with the findings from the docking experiment and the complex docked alongside  allopurinol at binding pocket I with a binding affinity value of –6.4 kcal mol−1 , showing its antioxidant potential.
Cracking of Used Engine Oil to Gasoline-Like Fuel Using Iron Oxide Nanoparticles Supported on HZSM-5
Authors: Sahabi Yaquba M. , Sokoto Abdullahi M. , Mohammed Misbahu L. , Mohammed Abdul Rahman , Abubakar Mudassir , Sahabi Fatima M. , Nasiru Yahaya , Abubakar Kasimu , Adamu Samira S.
Published: October 2024

Every day, large amount of used engine oil (UEO) is produced, which has major environmental issues due to its hazardous contaminants.  UEO contains high percentage of higher molecular weight hydrocarbons that can be turned into valuable fuel products. Catalytic cracking  of UEO oil into gasoline-like fuel using iron oxide nanoparticles over HZSM-5 support was investigated. The Fe3O4 nanoparticles  was synthesised via the one-spot method using iron (III) chloride hexahydrate (FeCl3.6H2O) and iron (II) chloride  tetrahydrate (FeCl2.4H2O) as precursors, while the HZSM-5 was synthesized using Al2(SO4)3.18H2O and Na2SiO3 as sources of alumina  and silica, respectively. The catalysts properties were investigated by XRD, FTIR, EDXRF, and TGA methods. The UEO was cracked in a fixed stainless-steel batch reactor at 400 °C for 1h with and without the catalyst. ASTM standard procedures, gas chromatography coupled with  mass spectrometry (GC-MS), and Fourier transformed infrared spectroscopy (FTIR) were used to examine the fuel properties,  molecular profile, and functional groups respectively, of the raw UEO and cracked liquid products. The results of GC-MS showed that the  10 wt.% Fe3O4/HZSM-5 catalyst is 86.04% selective towards C5 – C10 hydrocarbons, 63.16% selective towards olefins, and 18.42% selective  towards aromatics. The high selectivity of the catalyst towards lighter hydrocarbons could be attributed to the pore size distribution of HZSM-5, which offers active sites for catalytic cracking. The fuel properties of the liquid products obtained using catalyst  were found to be very similar to those of standard gasoline. Based on the results of the molecular profile and fuel properties, it was  concluded that Fe3O4/HZSM-5 is a promising catalyst for cracking UEO, and the fuel obtained could be used directly in spark-ignition  engines without any negative impact on engine performance.
Assessment of Natural Radioactivity Levels of 40K, 226Ra and 232Th in Some Selected Baby Food in Southwestern Nigeria
Authors: Okedeyi Sakiru A. , Ikuemonisan Femi E. , Olajuwon Olarewaju O. , Atilade Adesanya O. , Mustapha Amidu O. , Coker Joseph O. , Kayode Yusuf O. , Ajose Anthony S. , Kasika Farouk A. , Odubote Balikis O.
Published: October 2024

Baby powdered milk is a nutritious source of food for infants and children. Most working-class nursing mothers usually substitute breast  milk for it when they are not available to take care of their kids. The contagious of chronic disease among infants has caused careful  thought among the researchers. Food contamination through radioactivity causes severe health threat for infants because of their weak  immune system. Radioactivity concentrated foods are very dangerous as they increase cumulative risks of developing cancer and other  related diseases. Therefore, the assessment of radioactivity levels of 40K, 226Ra and 232Th in baby food and their associated doses are of  crucial importance for health safety. This study focused on the radiation contamination of baby food and its implications on the infants health and safety. Four samples of baby powdered milk were investigated using gamma ray spectrometer. The results indicated that the concentrations of 40K, 226Ra and 232Th ranged from 212.6 Bq/kg to 354.3 Bq/Kg, from 37.6 Bq/Kg to 129.3 Bq/Kg and from 83.2 Bq/Kg to  223.9 Bq/Kg, respectively. Although the level of radioactivity is relatively low in all the food samples and they are within the  internationally acceptable values, this study revealed that 232Th and 226Ra are the most significant contributor to radiation exposure in  baby food in Southwest Nigeria. Hence, baby powdered milk manufacturers should ensure reduction in the levels of these radionuclides,  and regulatory bodies should prioritize monitoring levels of 232Th and 226Ra in baby food to minimize health risks.
Studies on Volatile Aromatic Compounds Associated with Spoilt Tomatoes in Sokoto Metropolis, Sokoto State, Nigeria
Authors: Ahmad Shahidah A. , Sirajo Muhammad
Published: October 2024

This study used GC-MS to analyze the VOC profiles of spoiled tomatoes, identifying potential spoilage markers. Spoiled tomatoes  exhibited distinct VOC signatures, including aldehydes, alcohols, esters, hydrocarbons, and fatty acids, which were minimal or absent in  fresh tomatoes. These VOCs likely originated from lipid breakdown, microbial involvement, and enzymatic fat breakdown. Quantifying  these VOCs could lead to non-invasive methods for monitoring tomato quality, reducing food spoilage and waste. Specific VOCs, such as  aldehydes (e.g., butanal-3-hydroxy, pentanal), likely originated from lipid breakdown products and potentially contributed to offodors.  Alcohols (e.g., 2-hexanol, 4-methyl-2-hexanol) might indicate microbial involvement, while the presence of esters (e.g., methoxyacetic acid octyl ester) suggested potential consequences of advanced spoilage. Fatty acids and their derivatives (e.g., methyl esters, oleic acid)  pointed towards enzymatic breakdown of fats during spoilage. Epoxides (e.g., cis2,3-dimethyloxirane) were detected in some spoiled  samples, warranting further investigation.
Corporate governance and banks performance: empirical evidence from GCC countries
Authors: Djalila Sahraoui , Abduallah Alfadli
Published: October 2024

This study aims to research the impact of corporate governance on banks performance of the Gulf Cooperation Council countries (GCC), through an econometric study, based on multiple regression analysis of Panel data, and the Generalized Method of Moments (GMM), for a sample of 24 commercial banks, during the period (2010-2021). We measured the corporate governance, through board characteristics indicators: board size (BS), executive members on the board (EXC), board independence (IND), number of board meeting (NBM), and we measured the banks performance, through two indicators : return on average assets (ROAA) and return on average equity (ROAE). The results concluded that there is a significant positive impact of BS, IND on ROAA- ROAE, and a significant negative impact of EXC, NBM on ROAA- ROAE, that what confirms all our hypotheses, in line with agency, and resource dependence theories. The results confirm that an effective board of directors promotes sound corporate governance and thus achieving good performance.
recherche d'un espace régional équilibré et compétitif : cas de la région nord- centre
Authors: Imane Haraoubia
Published: October 2024

Au lendemain de l’indépendance et face à la complexité de la situation à prendre en charge, l’Etat algérien a pris conscience de l’intérêt du rééquilibrage spatial et de la mise en place d’une politique d’aménagement du territoire et de développement régional par le biais de la création de régions. La région a connu plusieurs phases d'existence et de définition dans la politique d'aménagement du territoire, de même que pour son rôle et ses instruments. Ce travail vise à apporter un éclairage sur l’espace régional et sur les stratégies retenues à l’échelle régionale, dans le cadre de la nouvelle politique d'aménagement du territoire lancée en 2010. Notre démarche méthodologique repose sur l’analyse quantitative et qualitative des conditions socio-économiques et du processus de planification régionale. La région nord centre nous a servi de cas d’étude. Nos résultats ont montré que d’une part, l’absence d’un vrai cadre de suivi et de mise en œuvre durant les dernières décennies a renforcé le déséquilibre démographique et les inégalités à l’accès aux équipements et aux infrastructures ; et que d’autre part, il existe des relations fortes entre l'offre en équipements et la migration intérieure, et le choix d'installation des investisseurs par rapport au domaine d'investissement.
The new EU Stability and Growth Pact – new bottle with a lot of old wine
Authors: Priewe Jan
Published: October 2024

The article reviews the latest version of the proposal for a new Stability and Growth Pact of the European Union, as accepted by the European Parliament in April 2024. After summarising the main changes, the macroeconomic evaluation attempts to gauge whether the main goal of the Pact – reduction of the public debt level in high-debt countries– is likely to be achieved or missed due to counter-productive austerity. Four scenarios show the trade-off between debt reduction and the growth of primary public expenditures. Overall, the new Pact includes some advantages, but it is unlikely to reduce high debt down to 60 per cent of GDP and at the same time grant fiscal leeway for more infrastructure and climate policy. Milder but longer austerity will be a heavy burden for the future – stretching the pain seems to be the guideline. It might turn out to be more pain than gain.
Macroeconomic policy evaluation in an SFC econometric model: the case of the investment programme for climate action in France
Authors: Chong Chin Yuan , Mazier Jacques , Reyes Luis
Published: October 2024

We study the macroeconomic impact of climate action policy that would allow France to reach its net zero objective by 2050. This policy, detailed in a report commissioned by the French Prime Minister, requires significant additional investments to be made by firms, households and the public sector. Contrary to the findings of the report, our simulations show that these investments are likely to generate economic growth and reduce public debt. However, since growth increases import demand, the trade balance and foreign debt worsen significantly, showing that the foreign sector benefits from France undertaking climate finance domestically. Unfortunately, the cost of climate action is borne mainly by firms and households whose financial position worsens considerably. Our tool for the analysis is a medium-scale empirical stock–flow consistent model built for the French economy (SFC FR).
Kontsevich's star-product up to order 7 for affine Poisson brackets: where are the Riemann zeta values?
Authors: Buring Ricardo , Kiselev Arthemy V.
Published: October 2024

The Kontsevich star-product admits a well-defined restriction to the class of
affine -- in particular, linear -- Poisson brackets; its graph expansion
consists only of Kontsevich's graphs with in-degree $\leqslant 1$ for aerial
vertices. We obtain the formula $\star_{\text{aff}}\text{ mod
}\bar{o}(\hbar^7)$ with harmonic propagators for the graph weights (over
$n\leqslant 7$ aerial vertices); we verify that all these weights satisfy the
cyclic weight relations by Shoikhet--Felder--Willwacher, that they match the
computations using the $\textsf{kontsevint}$ software by Panzer, and the
resulting affine star-product is associative modulo $\bar{o}(\hbar^7)$.
We discover that the Riemann zeta value $\zeta(3)^2/\pi^6$, which enters the
harmonic graph weights (up to rationals), actually disappears from the analytic
formula of $\star_{\text{aff}}\text{ mod }\bar{o}(\hbar^7)$ \textit{because}
all the $\mathbb{Q}$-linear combinations of Kontsevich graphs near
$\zeta(3)^2/\pi^6$ represent differential consequences of the Jacobi identity
for the affine Poisson bracket, hence their contribution vanishes. We thus
derive a ready-to-use shorter formula $\star_{\text{aff}}^{\text{red}}$
mod~$\bar{o}(\hbar^7)$ with only rational coefficients.
A review of research on reservoir porosity prediction by machine learning based on real-time drilling data
Authors: Le Duyen Quang ,   Hanoi University of Mining and Geology, Hanoi, Vietnam
Published: October 2024

To exploit oil effectively, it is necessary to determine the reservoir parameters of the formation. One of the important parameters that needs to be determined is porosity. Porosity prediction helps evaluate the reservoir's production performance, select the location of the production well, design enhanced oil recovery and evaluate the reservoir's economic feasibility. Normally, the value of porosity is determined directly by various laboratory core sample tests or indirectly based on the results of interpreting well geophysical measurement documents, and well logs. These traditional identification methods are often time-consuming and expensive. Laboratory testing methods are highly accurate but often require available core samples, require a lot of auxiliary measuring equipment, and sometimes require additional core sample measurement results, which consumes time and sampling costs. Moreover, well logging measurements are not always performed in all production wells. By applying different machine learning techniques such as Artificial Neural Network, Decision Tree, Random Forest, etc., the porosity value is also predicted. These techniques often use input parameters as data from well log curves or drilling data. However, using well geophysical measurement curve data as input parameters for machine learning models often faces limitations from the availability of data sources. Meanwhile, drilling parameters such as rate of penetration, weight on bit, drillstring or drillpipe rotation speed measured in revolutions/minute, torque, pumping rate of the circulation of the drilling fluid measured in gallons/minute, and the resulting standpipe pressure are continuously collected from measured while drilling sensors. The article focuses on evaluating and analyzing scientific works that have been researched on the application of machine learning techniques to predict formation porosity values, based on real-time drilling data.
Developing an application within the coastal flood risk warning system: Pilot study in Quang Nam province
Authors: Nguyen Trong Gia , Bui Quy Ngoc , Pham Quang Ngoc , Nguyen Cuong Van , Nguyen Phuong Thanh , Vu Tung Son ,   Hanoi University of Mining and Geology, Hanoi, Vietnam
  Geodesy and Environment Research Group (HUMG), Hanoi, Vietnam
  VNU - Central Institute for Natural Resources and Environmental Studies (VNU-CRES), Hanoi, Vietnam
  The Vietnam Agency of Seas and Islands, Hanoi, Vietnam
  GeoPro Consulting Joint Stock Company, Hanoi, Vietnam
Published: October 2024

Flooding is one of the common natural hazards in coastal areas of Vietnam, attributed to the influence of climate change. Establishing a robust infrastructure and tools to support flood warning systems is crucial and necessary to enhance the effectiveness of early warnings. An integrated warning mechanism comprises physical components (such as sensors and computers), software applications for data processing and analysis, databases, and stakeholders including governmental agencies and local communities. Among these, community participation is a crucial aspect, aiding in the collection and dissemination of vital information for warning systems during natural disasters. Despite numerous studies focusing on developing support and warning systems for natural disasters in Vietnam, community involvement has not been sufficiently emphasized in the outcomes of these studies. This article presents the results of developing computer programs and mobile applications for flood warning services in coastal areas. Specifically, a flood risk warning map is generated using a 1D-CNN deep learning model experimented in Quang Nam province. The experimental mobile application allows community participation by enabling them to provide real-time information on the flood situation, facilitating the system's analysis, processing, updating, and integration of data into the established database to issue flood risk warnings for the research area.
Les sanctions pénales
Authors: Illanez Schoenenberger Federico
Published: October 2024

Les sanctions pénales ne résultent pas d’un choix étatique purement abstrait. En effet, que ce soit lors de leur catégorisation (en tant que peines ou mesures), de l’importance allouée à chacune d’entre elles ou de leurs fonctions et finalités, le législateur s’inspire des « solutions » adoptées par d’autres ordres juridiques. La présente étude aborde, du point de vue historique, les diverses sanctions pénales applicables aux adultes et aux mineurs en droits suisse et équatorien. Elle compare, par la suite, les sanctions appliquées de nos jours par les deux régimes juridiques susdits. Des renvois aux textes supranationaux ainsi qu’à la législation d’autres États sont également faits lorsque cela s’avère pertinent.
Aspectos epistemológicos de la geopolítica de los derechos humanos: Desafíos actuales en el Siglo XXI
Authors: González Virla Roney José
Published: October 2024

Conectar la mirada geopolítica, que normalmente está cargada de pragmatismo y es responsabilidad de los hacedores de la política internacional o de elites académicas movidas por intereses científicos, no es tarea sencilla. En este propósito general, mediante un diseño de investigación cualitativa de base documental, próximo a la geopolítica crítica y a la filosofía hermenéutica dialéctica, el objetivo central de este ensayo fue describir, grosso modo, algunos aspectos epistemológicos de la geopolítica de los derechos humanos en el marco de los principales desafíos actuales que caracterizan al desenvolvimiento del orden mundial vigente en el siglo XXI. Los resultados obtenidos permiten concluir que, en cualquier mirada geopolítica y geoestratégica sería, la defensa de los derechos humanos debe ser una prioridad global y, en consecuencia, es responsabilidad de todos los actores trabajar juntos para garantizar su protección y promoción en un contexto mundial cada vez más complejo y cambiante, signado por las fuerzas entrópicas de los intereses aparentemente irreconciliables, las identidades culturales divergentes y las concepciones del mundo únicas que identifican a cada civilización y que, presagian el choque de civilizaciones, pero que sin duda, también abren puertas para el logro de nuevos consensos.
El Tao Te King de Lao Tsé. Enseñanzas sobre la Sabiduría China comentada por expertos
Authors: Tsé Lao , Vidovic López Jorge Fymark
Published: October 2024

Nota importante: por autorización de Ediciones Clío el presente comentario de la obra fue tomado literalmente de la introducción del libro (Tse, 2024), disponible en línea en acceso abierto, en: https://libros.edicionesclio.com/index.php/inicio/catalog/view/245/427/1018. De modo que, en definitiva, este comentario se publica con fines divulgativos de la filosofía oriental y, más aún, con la firme esperanza que contribuya al despertar de la conciencia lucida, en nuestros destacados lectores.
Gestión del conocimiento y mejoramiento académico y empresarial. Una revisión teórica
Authors: Bravo Gómez Valeria Cecilia , Díaz Bedoya Kathia , Guijarro Cagua Mariuxi Alexandra , Jarrín Salcán Marcia Esther
Published: October 2024

La Gestión del Conocimiento (GC) es una herramienta crucial, ya que, si se implementa adecuadamente en organizaciones empresariales y académicas, puede generar beneficios significativos. Este ensayo tiene como propósito discutir la relevancia de la gestión del conocimiento en empresas y universidades, resaltando su papel en la mejora de resultados y en la resolución de problemas. Se empleó un diseño de revisión documental para analizar la literatura y los recursos disponibles, clasificando artículos académicos de alto nivel. La recopilación de información y de los antecedentes, se llevó a cabo siguiendo tres criterios de búsqueda relacionados con: a. La evolución de la GC; b. La importancia que se le ha dado en el ámbito empresarial y académico, y; c. Los modelos que se usan en dichas organizaciones. Se utilizó un procedimiento de codificación para organizar las categorías de análisis. Los hallazgos más relevantes indican que la GC ha provocado cambios evidenciados en mejoras económicas con un impacto en los procesos sociales y empresariales. Una conclusión clave es que la GC, en el contexto académico y universitario, ayuda a abordar de manera efectiva las demandas sociales; mientras que, en las empresas, actúa como un generador de valor para el cumplimiento de la misión.
SERVIÇO SOCIAL NA EDUCAÇÃO BÁSICA
Authors: Nascimento Marques Fabiana , Bolorino Canteiro Martins Eliana , José de Oliveira Lima Maria
Published: October 2024

O artigo apresenta o percurso de duas décadas de luta pela inserção do Serviço Social na política de educação, com foco na atuação da entidade da categoria, o CFESS (Conselho Federal de Serviço Social). A metodologia contemplou a pesquisa documental junto ao site da instituição e bibliografia de profissionais pesquisadores que atuam e militam sobre a inserção de assistentes sociais na política de educação. Dessa forma, pretende-se continuar com ações coletivas visando construir estratégias em prol do fortalecimento da luta por uma educação pública, laica, socialmente referendada, e como direito social, de forma articulada e que cada município brasileiro implemente a legislação para a inserção do serviço social na rede de educação básica com a compreensão da importância da união coletiva da categoria por essa conquista.
Conveying Expression in E-Learning Transactions with Asymmetric Audiovisual Learning Tools
Authors:   Aristotle University of Thessaloniki, School of Informatics, Greece, Tzimas Rafail , Souliotis Nikolaos ,   Aristotle University of Thessaloniki, School of Informatics, Greece, Politis Dionysios ,   Aristotle University of Thessaloniki, School of Informatics, Greece, Paris Nektarios ,   University of Macedonia, Dept. of Music Science and Art, Thessaloniki, Greece
Published: October 2024

Recently, an increase in asymmetric learning transactions has been recorded. Asymmetric learning is traced in situations when students have different needs or abilities in assimilation as they do not have the same rate for understanding and absorbing knowledge as other students; constant repetition and persistence is usually needed in order to absorb basic cognitive elements. The overall state of affairs is usually a challenge for instructors as well as the schooling environment (alongside the family surroundings of the learners) since all the aforementioned parties have to conform their teaching strategies to often irregular or exquisite needs of their learners. A certain such case in a Computer Music topic is presented in this research that elocates individualized methods, differentiated instruction and the use of technology to support instruction.
Mobile Application for Efficient Exam Enrollment for Basic Studies
Authors:   Western Serbia Academy of Applied Studies – Užice Department, Užice, Serbia, Murić Milorad , Knežević Dragana ,   Western Serbia Academy of Applied Studies – Užice Department, Užice, Serbia
Published: October 2024

The paper discusses the rationale behind the development of a mobile app for online exam applications at the Užice Department of the Western Serbia Academy of Applied Studies (WSAAS). Throughout the app’s implementation, numerous challenges were encountered and effectively addressed. A crucial aspect of the app’s implementation involves outlining the developmental stages and essential modules to ensure smooth operation. A key benefit of the app is its ability to provide students with necessary information and streamline the exam registration process, minimizing errors. Exam registration data is transmitted to students via email and logged in the Firebase database, allowing for data extraction and customization to meet student service requirements. Firebase database offers a range of advantages and is an excellent choice for the mobile app for online exam applications because it does not serve a large number of users and provides all the necessary functionalities.
Learning Challenges and Performance in the Databases Course
Authors:   University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia, Radović Maja , Karić Katarina ,   University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia, Milošević Danijela ,   University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia
Published: October 2024

The Databases is a core course in computing disciplines since almost all systems require data storage component. Teaching a database course, in general, is a challenging task, due to several factors, such as increasing expectations of the job market, limited time frames of a regular semester system, to name a few. Nowadays, many organizations are turning to NoSQL databases as their preferred system of capturing and storing massive amounts of data, which is actually one of the many challenges and possible improvements in teaching. Therefore, it is likely that employees in all sizes of organizations will encounter NoSQL databases. At the Faculty of Technical Sciences in Čačak, relational databases are studied in the second year of studies, and the students enrolling in these studies have different prior knowledge in this field. This study examines the possibilities of teaching improvements to the Database course, such as the introduction of NoSQL databases, problem-based learning, solving practical problems, designing, gamification, etc., so that future database designers acquire the advanced level of knowledge required at the market. A survey of second-year students was conducted to determine their views and attitudes towards the Database course improvements.
Understanding and Addressing Motivational Challenges Among University Students
Authors:   University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia, Cvetković Saša , Ružičić Vesna ,   University of Kragujevac, Faculty of Technical Sciences Čačak, Serbia
Published: October 2024

This paper explores the intricate dynamics surrounding the motivation and perspectives of university students born after the mid-1990s (Generation Z). It brings to light the generation gap and the clash between the expectations of educators and the realities of changing student interests. The paper uncovers a new paradigm where many students lack intrinsic motivation, struggle with study commitment, and prefer easy solutions, often relying on readily available information without critical evaluation. If left unaddressed, these trends pose profound challenges to the educational system, potentially leading to a society reliant on information consumerism. Additionally, the paper examines the role of educators in adapting to these changes, emphasizing the need for a holistic approach to education beyond mere knowledge transfer. Strategies to address these challenges are discussed, highlighting the importance of redefining the role of educators, cultivating intrinsic motivation and critical thinking skills, and fostering a more dynamic, effective, and supportive learning environment aided by student selection based on a genuine interest in study subjects and motivation to study.
Cálculo do Crédito Fiscal Relativo às Subvenções de ICMS (Lei n. 14.789/2023)
Authors: Fernandes Edison Carlos
Published: October 2024

Este artigo tem o objetivo de propor a interpretação adequada ao art. 8º da Lei n. 14.789/2023, que disciplina o cálculo do crédito fiscal relativo às subvenções de ICMS. Para isso, adota-se a abordagem transdisciplinar (metodologia), que consiste na integração entre o direito tributário e disciplinas afins, como finanças corporativas e contabilidade. Como conclusão, o presente artigo sugere a adoção do método de interpretação teleológico-axiológico para compreender e aplicar o dispositivo legal concernente ao cálculo do mencionado crédito fiscal.
Não Cumulatividade do ICMS, do IBS e da CBS
Authors: Menezes Breyner Frederico
Published: October 2024

O artigo aborda a não cumulatividade do IBS e da CBS a partir dos métodos dedutivo e comparativo, com o propósito de categorizar as normas constitucionais que tratam do direito ao crédito desses tributos de acordo com a teoria da classificação das normas constitucionais em razão de sua eficácia e aplicabilidade. A abordagem dogmática estabelece a eficácia e a aplicabilidade das normas constitucionais que versam sobre o direito do contribuinte aos créditos que instrumentalizam a não cumulatividade, formulando um modelo para se avaliar a constitucionalidade das restrições a serem impostas por lei complementar regulamentadora. Conclui-se que a não cumulatividade do IBS e da CBS é instituída por norma de eficácia restringível e aplicabilidade imediata e integral, mas que margem de restrição por lei complementar é mínima, figurando assim como uma norma que contempla uma amplitude e extensão maior do que as normas que regulam a não cumulatividade do ICMS.
Comparison and Effect of Persistent Character and Mathematical Process Skills on Fractional Computing Operation Materials in Elementary School
Authors: Kamid Kamid , Kurniawan Dwi Agus , Ramalisa Yelli , Perdana Rahmat , Husna Sri Muslimatul , Septi Sabila Eka , Kusnadi Naufal Aqila
Published: October 2024

To be able to understand a mathematical problem and be able to express thoughts and arguments, and provide solutions to a problem, students need to have persistent character and mathematical processing skills. This study aims to find out whether there is a comparison of persistent character and mathematical processing skills at SDN 35 Batanghari, SDN 64 Muara Bulian, MIN 3 Batanghari, MIN 2 Batanghari in mathematics and to find out whether there is an influence between persistent character and mathematical processing skills at SDN 35 Batanghari, SDN 64 Muara Bulian, MIN 3 Batanghari, MIN 2 Batanghari in mathematics. The research method used is mixed methods with a sequential explanatory research design. The instrument in this study used character persistence questionnaires and mathematical processing skills. The t-test results obtained from the table show that there is a relationship between the persistence character variable and students' mathematical processing abilities in the subject matter of mathematical fractional computation operations. From the results of the regression test obtained from the table, it can be seen that there is an influence between the sign tenacity variables and the students' mathematical processing abilities in the subject matter of mathematics in fractional computation operations. This research can be used as a reference to pay more attention to student learning persistence because persistence has a significant effect on students' mathematical processing skills at the elementary level. Thus, the researcher hopes that further research can observe the comparison and influence of persistence with mathematical processing skills in other materials.
Using the Song Maker Feature on Chrome Music Lab as a Music Learning Media
Authors: Ningsih Dwi Utami , Sukmayadi Yudi
Published: October 2024

This study aims to reveal how to use the Song Maker feature in Chrome Music Lab as a medium that can be used in remote music learning. Data collection was taken from reference books and journals, as well as YouTube and Google applications. The research method used was Research and Development (RD) with the Waterfall development model. The resulting product is in the form of a learning video that contains an introduction to Chrome Music Lab and the Song Maker feature, how to access and the process of making songs in the Song Maker feature. The results of the development of the Song Maker feature in Chrome Music Lab show that the feature is very easy, useful, and fun to use as learning media. The test results show that the product is ready to use because the respondents are satisfied. Chrome's Music Lab, specifically the Song Maker feature, provides an alternative for educators to extrapolate music education barriers by connecting active methods with technological, digital experiences for distance learning. The implication of the finding is using the Song Maker feature of Chrome Music Lab as a media for learning music can be used in the classroom for music creation lessons.
Improving Studentsâ€™ Creative Thinking Skills by Combining Cooperative Script and Reciprocal Teaching Models
Authors: Usman Ali , Eurika Novy , Priantari Ika , Awalludin Ahmad Rusdy , Hilia Gumilang Mutiara
Published: October 2024

This study aims to describe the increase in students' creative thinking by combining cooperative script learning models with reciprocal teaching. This research is a Class Action Research (CAR). This research was conducted in class XI SMA. Learning tools, essay questions combined with creative thinking, observation sheets of learning implementation, and creative thinking instruments were used to collect data. Data analysis on the increase in creative thinking was calculated using the score gain (N-Gain) formula. The results show an increase in students' creative thinking, namely from cycle I with a score of 0.28 which is included in the low category, rising to a score of 0.5 in cycle II which is included in the medium category. The results of this study indicate an increase in students' learning activities and creative thinking in each learning cycle. Combining cooperative and reciprocal learning models can encourage students to dare to express opinions, thoughts, and ideas to empower students' creative thinking skills. This shows that applying the cooperative learning model, a combination of collaborative learning models with a reciprocal teaching model used continuously, can increase students' learning activities and creative thinking to train them to become self-regulation learners.