bluuebunny/crossref_metadata_2025 huggingface dataset:
A district-level geospatial analysis of the availability of improved water and sanitation among tribal households in India
Authors: Mudi Prasanna Kumar , Pradhan Manas Ranjan , Saikia Daisy , De Prasenjit
Published: May 2024

Despite progress in Sustainable Development Goal 6, which envisages clean water and sanitation for all, enormous disparities in access to water and sanitation services between and within countries continue to be a significant challenge. Evidence on the spatial heterogeneity of water, sanitation, and hygiene practices among the Scheduled Tribe (ST) population is limited in India. This study estimates the spatial heterogeneity in ST people's access to improved water and sanitation facilities and its correlates at the district level. Geospatial techniques like Moran's I, univariate and bivariate local indicator of spatial association, and spatial regression models were carried out for 707 districts covered in the fifth round of the National Family Health Survey, 2019–21. Stata was used for descriptive analysis, and ArcMap and GeoDA were used for spatial analysis. Only about half of ST households had access to improved water and sanitation facilities in India. Spatial heterogeneity across districts was evident, with 130 districts from Uttarakhand, Himachal Pradesh, Punjab, Haryana, Delhi, Sikkim, Arunachal Pradesh, Nagaland, Mizoram, and some portion of Karnataka forming the hot spots. Gender and age of the household head, family type, and region were significantly associated with improved water and sanitation facilities among ST households.
The Effect of Social Support on Adolescent Mental Health: Literatur Review
Authors: Harahap Ana Pujianti , Daramusseng Andi , Choirunissa Risza , Nugraheni Sri Achadi
Published: May 2024

Adolescence is a period that experiences many changes in hormonal, physical, psychological, and social aspects. If not controlled properly, these changes can lead to mental disorders in adolescents. This study aims to explore the relationship between social support and adolescent mental health through literature review. The review analyzed articles sourced from Google Scholar, PubMed, and ScienceDirect as a database with a range of publications between 2012-2022 using the keywords mental health, social support, and adolescents. There were 13 articles that met the inclusion criteria. The result showed that adolescents' mental health is largely determined by the social support surrounding them. Adolescents who lack social support from their families, teachers, and peers will result in bad effects of their mental health. The social support of the nuclear family, especially parents, played a very important role in adolescent mental health. In addition, the factor of the history of adolescents also needed to be considered as a risk factor. Therefore, there is a need for interventions in understanding social support to families, teachers, and adolescents, as well as further research in this topic.
Antibacterial and Antifungal Properties of Citronella oil Against Streptococcus mutans and Candida albicans by In Vitro Study
Authors: Sugiaman Vinna Kurniwati , Widowati Wahyu , Widya Kusuma Hanna Sari Widya Kusuma , Salsabila Nindia , Rizal Rizal
Published: May 2024

Streptococcus mutans and Candida albicans are the main microorganisms that cause dental cavities. It can cause infection, damaged tissue around teeth, abscesses, and focal infection to other organs in the body. Natural products are currently widely used as products or as additives in the prevention of dental caries which have more anti-bacterial and anti-fungal activities than antibiotics that can cause resistance. Citronella (Cymbopogon citratus) is abundant and easy to grow. This study was conducted to determine the effectiveness of citronella (Cymbopogon citratus) oil on the growth of S. mutans and C. albicans microorganisms by Minimum Inhibitory Content (MIC) and Minimum Bactericidal Content (MBC). The method of MIC is broth microdilution by making chlorhexidine concentration levels of 100%, 50%, 25%, 12.5%, 6.25%, 3.125%, and 0.2% with 4 replications each. The MIC value was determined based on absorbance spectrophotometry and the MBC value was determined from the agar plate using the spread method. Biofilm eradication test was conducted by crystal-violet staining and measuring the absorbance. The results of MIC and MBC were obtained on S. mutans, namely at concentrations of 25% and 100%, respectively. Meanwhile, the results of MIC and MBC on C. albicans were obtained at concentrations of 50% and 100%, respectively. Furthermore, the citronella oil has antibacterial and antifungal activities.
Modification of qSOFA Increases Mortality Prediction Accuracy in Sepsis Patients
Authors: Gunawan Erik Jaya , Siahaan Salmon Charles Pardoman Tua , Idarto Areta , Pribadi Florence , Handayani Lidya
Published: May 2024

The Quick Sequential Organ Failure Assessment (qSOFA) is a simple parameter, however, its sensitivity as a mortality predictor is low. This study aimed to improve the predictor performance of qSOFA for in-hospital mortality. This study was a retrospective single-centered cohort using medical record data. This study included 150 patients aged 18-80 years old, who experienced sepsis and received ICU care between September 2021 and August 2022. qSOFA and modified ROX index (mROX) were calculated based on the most severe condition recorded in the emergency department (ED). Each variable's area under the receiver operating characteristic (AUROC) curve, sensitivity, and specificity were compared to predict in-hospital mortality. qSOFA scores ≥2 and mROX values ≤3.20 were independent factors that increased the risk of in-hospital mortality (OR 3.69 and 21.50; p 0.004 and 0.005, respectively). The combination of qSOFA scores ≥2 and mROX value ≤3.20 as in-hospital mortality predictors resulted in AUROC 0.791 with a sensitivity of 71.7% and specificity of 75.7%. The AUROC, sensitivity, and specificity of the combination of qSOFA and mROX were higher than qSOFA (0.766, 70.8%, 70.3%) or mROX (0.760, 68.1%, 67.6%) alone. In conclusion, the combination of qSOFA scores ≥2 and mROX values ≤3.20 increase the sensitivity and specificity for predicting in-hospital mortality in sepsis patients.
Machine Learning Models for Parkinson Disease: Systematic Review
Authors: Tabashum Thasina , Snyder Robert Cooper , O'Brien Megan K , Albert Mark V
Published: May 2024

Background

With the increasing availability of data, computing resources, and easier-to-use software libraries, machine learning (ML) is increasingly used in disease detection and prediction, including for Parkinson disease (PD). Despite the large number of studies published every year, very few ML systems have been adopted for real-world use. In particular, a lack of external validity may result in poor performance of these systems in clinical practice. Additional methodological issues in ML design and reporting can also hinder clinical adoption, even for applications that would benefit from such data-driven systems.

Objective

To sample the current ML practices in PD applications, we conducted a systematic review of studies published in 2020 and 2021 that used ML models to diagnose PD or track PD progression.

Methods

We conducted a systematic literature review in accordance with PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines in PubMed between January 2020 and April 2021, using the following exact string: “Parkinson’s” AND (“ML” OR “prediction” OR “classification” OR “detection” or “artificial intelligence” OR “AI”). The search resulted in 1085 publications. After a search query and review, we found 113 publications that used ML for the classification or regression-based prediction of PD or PD-related symptoms.

Results

Only 65.5% (74/113) of studies used a holdout test set to avoid potentially inflated accuracies, and approximately half (25/46, 54%) of the studies without a holdout test set did not state this as a potential concern. Surprisingly, 38.9% (44/113) of studies did not report on how or if models were tuned, and an additional 27.4% (31/113) used ad hoc model tuning, which is generally frowned upon in ML model optimization. Only 15% (17/113) of studies performed direct comparisons of results with other models, severely limiting the interpretation of results.

Conclusions

This review highlights the notable limitations of current ML systems and techniques that may contribute to a gap between reported performance in research and the real-life applicability of ML models aiming to detect and predict diseases such as PD.
The Use of Generative AI for Scientific Literature Searches for Systematic Reviews: ChatGPT and Microsoft Bing AI Performance Evaluation
Authors: Gwon Yong Nam , Kim Jae Heon , Chung Hyun Soo , Jung Eun Jee , Chun Joey , Lee Serin , Shim Sung Ryul
Published: May 2024

Background

A large language model is a type of artificial intelligence (AI) model that opens up great possibilities for health care practice, research, and education, although scholars have emphasized the need to proactively address the issue of unvalidated and inaccurate information regarding its use. One of the best-known large language models is ChatGPT (OpenAI). It is believed to be of great help to medical research, as it facilitates more efficient data set analysis, code generation, and literature review, allowing researchers to focus on experimental design as well as drug discovery and development.

Objective

This study aims to explore the potential of ChatGPT as a real-time literature search tool for systematic reviews and clinical decision support systems, to enhance their efficiency and accuracy in health care settings.

Methods

The search results of a published systematic review by human experts on the treatment of Peyronie disease were selected as a benchmark, and the literature search formula of the study was applied to ChatGPT and Microsoft Bing AI as a comparison to human researchers. Peyronie disease typically presents with discomfort, curvature, or deformity of the penis in association with palpable plaques and erectile dysfunction. To evaluate the quality of individual studies derived from AI answers, we created a structured rating system based on bibliographic information related to the publications. We classified its answers into 4 grades if the title existed: A, B, C, and F. No grade was given for a fake title or no answer.

Results

From ChatGPT, 7 (0.5%) out of 1287 identified studies were directly relevant, whereas Bing AI resulted in 19 (40%) relevant studies out of 48, compared to the human benchmark of 24 studies. In the qualitative evaluation, ChatGPT had 7 grade A, 18 grade B, 167 grade C, and 211 grade F studies, and Bing AI had 19 grade A and 28 grade C studies.

Conclusions

This is the first study to compare AI and conventional human systematic review methods as a real-time literature collection tool for evidence-based medicine. The results suggest that the use of ChatGPT as a tool for real-time evidence generation is not yet accurate and feasible. Therefore, researchers should be cautious about using such AI. The limitations of this study using the generative pre-trained transformer model are that the search for research topics was not diverse and that it did not prevent the hallucination of generative AI. However, this study will serve as a standard for future studies by providing an index to verify the reliability and consistency of generative AI from a user’s point of view. If the reliability and consistency of AI literature search services are verified, then the use of these technologies will help medical research greatly.
Data-Driven Fundraising: Strategic Plan for Medical Education
Authors: Jalali Alireza , Nyman Jacline , Loeffelholz Ouida , Courtney Chantelle
Published: May 2024

Higher education institutions, including medical schools, increasingly rely on fundraising to bridge funding gaps and support their missions. This paper presents a viewpoint on data-driven strategies in fundraising, outlining a 4-step approach for effective planning while considering ethical implications. It outlines a 4-step approach to creating an effective, end-to-end, data-driven fundraising plan, emphasizing the crucial stages of data collection, data analysis, goal establishment, and targeted strategy formulation. By leveraging internal and external data, schools can create tailored outreach initiatives that resonate with potential donors. However, the fundraising process must be grounded in ethical considerations. Ethical challenges, particularly in fundraising with grateful medical patients, necessitate transparent and honest practices prioritizing donors’ and beneficiaries’ rights and safeguarding public trust. This paper presents a viewpoint on the critical role of data-driven strategies in fundraising for medical education. It emphasizes integrating comprehensive data analysis with ethical considerations to enhance fundraising efforts in medical schools. By integrating data analytics with fundraising best practices and ensuring ethical practice, medical institutions can ensure financial support and foster enduring, trust-based relationships with their donor communities.
Preliminary Validity and Acceptability of Motion Tape for Measuring Low Back Movement: Mixed Methods Study
Authors: Lee Audrey , Wyckoff Elijah , Farcas Emilia , Godino Job , Patrick Kevin , Spiegel Spencer , Yu Rose , Kumar Arun , Loh Kenneth J , Gombatto Sara
Published: May 2024

Background

Low back pain (LBP) is a significant public health problem that can result in physical disability and financial burden for the individual and society. Physical therapy is effective for managing LBP and includes evaluation of posture and movement, interventions directed at modifying posture and movement, and prescription of exercises. However, physical therapists have limited tools for objective evaluation of low back posture and movement and monitoring of exercises, and this evaluation is limited to the time frame of a clinical encounter. There is a need for a valid tool that can be used to evaluate low back posture and movement and monitor exercises outside the clinic. To address this need, a fabric-based, wearable sensor, Motion Tape (MT), was developed and adapted for a low back use case. MT is a low-profile, disposable, self-adhesive, skin-strain sensor developed by spray coating piezoresistive graphene nanocomposites directly onto commercial kinesiology tape.

Objective

The objectives of this study were to (1) validate MT for measuring low back posture and movement and (2) assess the acceptability of MT for users.

Methods

A total of 10 participants without LBP were tested. A 3D optical motion capture system was used as a reference standard to measure low back kinematics. Retroreflective markers and a matrix of MTs were placed on the low back to measure kinematics (motion capture) and strain (MT) simultaneously during low back movements in the sagittal, frontal, and axial planes. Cross-correlation coefficients were calculated to evaluate the concurrent validity of MT strain in reference motion capture kinematics during each movement. The acceptability of MT was assessed using semistructured interviews conducted with each participant after laboratory testing. Interview data were analyzed using rapid qualitative analysis to identify themes and subthemes of user acceptability.

Results

Visual inspection of concurrent MT strain and kinematics of the low back indicated that MT can distinguish between different movement directions. Cross-correlation coefficients between MT strain and motion capture kinematics ranged from –0.915 to 0.983, and the strength of the correlations varied across MT placements and low back movement directions. Regarding user acceptability, participants expressed enthusiasm toward MT and believed that it would be helpful for remote interventions for LBP but provided suggestions for improvement.

Conclusions

MT was able to distinguish between different low back movements, and most MTs demonstrated moderate to high correlation with motion capture kinematics. This preliminary laboratory validation of MT provides a basis for future device improvements, which will also involve testing in a free-living environment. Overall, users found MT acceptable for use in physical therapy for managing LBP.
Geospatial Imprecision With Constraints for Precision Public Health: Algorithm Development and Validation (Preprint)
Authors: Harris Daniel , Delcher Chris
Published: May 2024

BACKGROUND

Location and environmental social determinants of health are increasingly important factors in both an individual’s health and the monitoring of community-level public health issues.

OBJECTIVE

We aimed to measure the extent to which location obfuscation techniques, designed to protect an individual’s privacy, can unintentionally shift geographical coordinates into neighborhoods with significantly different socioeconomic demographics, which limits the precision of findings for public health stakeholders.

METHODS

Point obfuscation techniques intentionally blur geographic coordinates to conceal the original location. The pinwheel obfuscation method is an existing technique in which a point is moved along a pinwheel-like path given a randomly chosen angle and a maximum radius; we evaluate the impact of this technique using 2 data sets by comparing the demographics of the original point and the resulting shifted point by cross-referencing data from the United States Census Bureau.

RESULTS

Using poverty measures showed that points from regions of low poverty may be shifted to regions of high poverty; similarly, points in regions with high poverty may be shifted into regions of low poverty. We varied the maximum allowable obfuscation radius; the mean difference in poverty rate before and after obfuscation ranged from 6.5% to 11.7%. Additionally, obfuscation inadvertently caused false hot spots for deaths by suicide in Cook County, Illinois.

CONCLUSIONS

Privacy concerns require patient locations to be imprecise to protect against risk of identification; precision public health requires accuracy. We propose a modified obfuscation technique that is constrained to generate a new point within a specified census-designated region to preserve both privacy and analytical accuracy by avoiding demographic shifts.
A Self-Administered Eating Behavior Scale for Patients With Heart Failure Living at Home: Protocol for a Mixed Methods Scale Development Study (Preprint)
Authors: Kashiwakura Daisaku , Hiyama Akiko , Muramatsu Masumi , Hinotsu Atsuko , Takeda Michiko , Suzuki Norio , Akiyama Sachie , Kurihara Sayuri , Kida Keisuke
Published: May 2024

BACKGROUND

The prevalence of heart failure (HF) is increasing worldwide, with the associated mortality rates rising consistently. Preventing HF progression requires adherence to restricted sodium intake alongside sufficient and balanced nutritional consumption. For patients at home, preparing nutritionally balanced meals is essential, either self-assisted or with the aid of close individuals. Patients with HF frequently experience decreased exercise tolerance, depression, anxiety, and social isolation, which interfere with eating behaviors, leading to inadequate dietary habits. However, measures focusing on the determinants of eating behavior among patients with HF are currently lacking.

OBJECTIVE

This study aims to develop a self-administered scale to assess the eating behaviors of patients with HF living at home (Self-Administered Eating Behaviors Scale for Heart Failure [SEBS-HF]).

METHODS

This study encompasses 3 phases. Phase 1 involves identifying factors influencing eating behaviors in patients with HF. First, a literature review will be conducted using PubMed and CINAHL databases. The specified literature will be analyzed qualitatively and inductively. Additionally, verbatim transcripts obtained from semistructured interviews of patients with HF and medical experts will be qualitatively analyzed. Based on the Phase 1 results, a preliminary scale will be constructed. In Phase 2, cognitive interviews will be conducted with patients with HF and experts; the preliminary scale will be used to qualitatively evaluate its content validity. After validation, the scale will be used in Phase 3 to conduct a cross-sectional study involving patients with HF. In Phase 3, data will be collected from clinical records and self-administered questionnaires or scales. After conducting a preliminary survey, the main survey will be conducted. The reliability and validity of the scale will be assessed using statistical methods.

RESULTS

The first phase of this study commenced in September 2023, and by May 2, 2024, a total of 7 patients with HF and 6 expert professionals were enrolled as study participants. The draft creation of the scale will be completed in 2024, and the content validity evaluation of the draft scale is expected to be finished by early 2025. The third phase will begin its investigation in mid-2025 and is expected to be completed by late 2025, after which the SEBS-HF will be published.

CONCLUSIONS

The development and use of this scale will enable a more comprehensive evaluation of the factors influencing eating behaviors in patients with HF. Thus, medical and welfare professionals should provide appropriate support tailored to the specific needs of patients with HF.

INTERNATIONAL REGISTERED REPORT

DERR1-10.2196/60719
Effect of Sinusoidal Fiber Waviness on Non-Linear Dynamic Performance of Laminated Composite Plates with Variable Fiber Spacing
Authors: Mohammed Wisam H. , Shambina Svetlana L. , Ammash Haider K.
Published: May 2024

This study investigated influence of varying waviness characteristics of fiber, represented by path amplitude Δ and different numbers of half sine waves k , on the elastic-plastic dynamic behaviour of laminated composite plates with variable fiber spacing. The analysis was based on the equations for action of constant axial dynamic loading and two-dimensional layered approach with classical first order shear deformation theory with five degrees of freedom per node, and it was performed with FORTRAN 94 programming language. Von-Karman’s assumptions were used for the discretization of the laminated plates to include geometric nonlinearity for nine-node Lagrangian isoperimetric quadrilateral elements. Complete bond between the layers was assumed with no delamination, which was based on first-order shear deformation theory. The Newmark implicit time integration method and Newton-Raphson iteration were simultaneously used to solve the nonlinear governing equation in conjunction. It was proven in the research that the nonlinear performance of the laminated composite plate was affected by the studied waviness parameters Δ and k , and also by the variable distribution pattern selected for this study.
Seismic Fragility Analysis of Existing Old Newari Brick Masonry Building in Pokhara Valley
Authors: Chapagain Krishna , Chaulagain Hemchandra
Published: May 2024

Most of the building stock in Nepal is based on masonry construction, which includes monumental, administrative, and residential structures. These structures are vulnerable during earthquakes, as evidenced by the massive structural damage, loss of human life, and property damage due to a lack of proper assessment and appropriate strengthening measures. An analysis of the seismic vulnerability of existing old Newari brick masonry buildings in the Pokhara Valley is presented. These buildings were built using indigenous knowledge and technology. The investigation is based on analytical studies, with some material properties obtained from field tests. Proper modeling of a masonry structure is crucial for reliable seismic resistance and structural design. However, modeling a real masonry structure is a challenging and computationally demanding task due to its complicated framework, requiring in-depth knowledge, realistic material properties, and relevant information. The aim of this research is to assess the seismic performance of old Newari masonry buildings using stress level and fragility curves. The research issues are addressed analytically through linear time history analysis using the finite element program-based software Sap 2000 v20. In dynamic analysis, numerical building models were subjected to three synthetic earthquakes. The performance status of the building based on various stress levels is evaluated, and weak regions are identified. The fragility curve of the structure is assessed, considering the ground motion parameters in the locality. The fragility function is plotted with the probability of failure at an interval of 0.10 g. The results of the analysis highlight that the studied structure is vulnerable compared to the codal provisions and standard recommendations.
Deformation of Cylindrical Shell Made of 9X2 Steel Under Complex Loading
Authors: Cheremnykh Stepan V.
Published: May 2024

The development of the construction industry in terms of the design and manufacture of shell structures of non-standard architectural forms made of materials with complex mechanical properties requires using modern integrated computer-aided design systems with step-by-step modeling of deformation of structural elements under operating conditions, as well as taking into account their subsequent behavior after accumulation of residual strains during plastic deformation. The purpose of the study is to simulate the process of plastic deformation of a thin-walled cylindrical shell made of 9X2 GOST 5950-2000 (Interstate Standard) steel under compression and torsion with theoretical calculations based on the general theory of elastoplastic processes by A.A. Ilyushin. The constitutive equations of the theory of elastoplastic processes by A.A. Ilyushin for complex loading path and deformation of materials in the deviatoric strain space are presented. Based on the presented solutions, according to the strain path of the 9X2 steel shell implemented in the model, the graphs showing the relation of the vector and scalar properties of the material to the arc length of the strain path are constructed. A conclusion is made about the degree of hardening of the material in question and its dependence on the magnitude of the angle of convergence at the kink point of the complex path. The graphs of changes in the constitutive plasticity functions with respect to the increments of the arc length of the strain path are presented.
Parameterization of Maxwell - Cremona Diagram for Determining Forces in Elements of a Scissors Truss
Authors: Repin Vladimir A. , Lukina Anastasia V. , Strekalkin Artem A.
Published: May 2024

An analysis of changing patterns of the values of member forces in a scissors truss, depending on the position of connections of its lower chords to the upper chords, is performed. Exploring effective truss structure designs in terms of balanced combination of maximum strength and minimum weight is a sustainable approach to a more rational use of building materials and the development of green construction. This determines the relevance of this area of research. The analysis of configurations of the truss under study was performed using the parameterized Maxwell - Cremona diagram. Such diagram is a visually informative tool in presenting the calculation results and it fully reflects the relationship between the member forces and the parameters of the structure. The research process was performed using the MS Excel spreadsheet editor. This eventually developed into a software tool for finding effective scissors truss designs, which has full potential for further improvement and development. Thus, the functionality of the tool can be easily expanded to designing scissors trusses made of various structural materials, as well as with various crosssectional shapes of its elements. The proposed approach to the calculation of such structures can serve as a basis for parameterization of trusses with other types of web.
VALUES: NATIONAL SECURITY RESOURCE
Authors:   Military Educational and Scientific Center of the Air Force “Air Force Academy” in Syzran, Rudkevich E.Yu.
Published: May 2024

The problem of national security is analyzed on the methodological basis of the value approach. It is stated that values are the guarantor of security, and any changes in the axiological sphere pose a significant threat to the sustainability and stability of the socio-cultural system. It is argued that modern info-hybrid influences are aimed at loosening and leveling the value foundations of society, in connection with which ways are proposed to preserve the axiological foundation of society.
PATRIOTISM AS A LEGAL CATEGORY
Authors:   Expert Advisory Council of the Federation Council Committee of the Federal Assembly of the Russian Federation, Rudkevich E.Yu.
Published: May 2024

The concept of patriotism as a legal category is considered. An attempt to analyze the term “patriotism” in an interdisciplinary scientific aspect is made. The legislative and law enforcement practice of using the concept is considered.
CONCEPTUAL FOUNDATIONS OF THE POLICY OF COUNTERING OFFICIAL CRIME: STATE AND PROSPECTS
Authors:   Russian Presidential Academy of National Economy and Public Administration, Ignatenko M.S.
Published: May 2024

The evolution of the conceptual provisions of the policy of countering official crime in the Russian Federation during the post-Soviet period is considered. In this connection the objective factors of determining character are investigated. It is concluded that it is necessary to create mobilization political mechanisms preventing officials from affiliation with commercial structures and limiting political lobbying.
DESENVOLVIMENTO PROFISSIONAL DOCENTE EM CLUBES DE CIÊNCIAS NO BRASIL: UMA REVISÃO SISTEMÁTICA (2011-2022)
Authors: Freitas Renan Ferreira de , Albuquerque Marcia Cristina Palheta , Malheiro João Manoel da Silva , Rocha Carlos José Trindade da
Published: May 2024

Este artigo tem como objetivo examinar o Desenvolvimento Profissional Docente (DPD) em clubes de ciências. Inicialmente, definimos o conceito de DPD e destacamos sua importância na formação de professores de ciências. Em seguida, exploramos as diferentes categorias de artigos relacionados ao tema, incluindo pesquisas empíricas, revisões de literatura e estudos de caso. Cada categoria contribui para uma compreensão mais ampla do DPD em clubes de ciências, fornecendo insights sobre estratégias de desenvolvimento profissional, desafios enfrentados pelos professores e impacto na prática pedagógica. Ao longo dos anos, observamos uma tendência crescente de interesse no DPD, acompanhada por mudanças nas abordagens de formação de professores e padrões de avaliação. No entanto, ainda há lacunas a serem preenchidas, especialmente em relação à implementação de práticas eficazes de DPD e sua sustentabilidade a longo prazo. A análise temporal revela uma evolução significativa no campo, mas também destaca a necessidade contínua de pesquisa e desenvolvimento nessa área vital da educação científica.
Kruskal-Wallis Test for Functional Data Based on Random Projections Generated from a Simulation of a Brownian Motion
Authors: Meléndez Surmay Rafael , Giraldo Henao Ramón , Rodríguez Cortes Francisco
Published: May 2024

The k-sample problem for functional data has been widely studied from theoretical and applied perspectives. In literature, Gaussianity of the generating process is generally assumed, which may be impractical in some situations. This work proposes an extension of the Kruskal-Wallis test to the case of functional data as an alternative to the problem of non- Gaussianity. The methodology used consisted of transforming each group's functional data into scalars using random projections and subsequently performing classical Kruskal-Wallis tests. The main results were the extension of the Kruskal-Wallis test to the case of functional data and the verification of its unbiased and consistency properties. Reducing dimensionality from random projections allows us to extend the classical Kruskal-Wallis test to the functional context and solve problems of non-Gaussianity and atypical observations.
Transformaciones en las perspectivas de significado en estudiantes de ingeniería. Una aproximación desde las prácticas pedagógicas
Authors: Guevara Prieto Danna Michelle , Dominguez Rojas Ana Lorena
Published: May 2024

El objetivo de esta investigación fue analizar las transformaciones de las perspectivas de significado en las prácticas pedagógicas en la asignatura de matemáticas de una facultad de ingeniería. La estrategia implementada está enmarcada dentro del enfoque del aprendizaje transformativo, el cual concibe al aprendizaje como un proceso de construcción de significados. La transformación fue examinada en el marco de la práctica pedagógica, resaltando los aspectos afectivos, intersubjetivos y contextuales del aprendizaje. La implementación de la estrategia pedagógica se dio durante un semestre académico, en este proceso participaron un docente y 19 estudiantes. La estrategia incluyó actividades como foros orales y escritos, proyecto de clase y autorregistros del proceso de aprendizaje. Se llevaron a cabo dos grupos focales con estudiantes, uno al inicio y uno al final de la estrategia, y una entrevista con el docente. El análisis de los datos arrojó cuatro temáticas centrales de transformación: contextualización y aplicabilidad de los contenidos, comunicación en el aula, corregulación emocional, andamiaje y uso de recursos para el aprendizaje. La investigación evidenció que una estrategia transformadora en las matemáticas promueve la transformación en los estudiantes, su compromiso en las actividades y alienta cambios significativos en la práctica pedagógica del docente.
Graph rewriting primitives for semantic graph databases sanitization
Authors: Boiret Adrien , Eichler Cédric , Nguyen Benjamin , Taki Sara
Published: May 2024

Due to the rapid proliferation of data online, an important quantity of private or sensitive informations is being stored as linked data in graph databases (e.g., represented as RDF). For such databases to be shared without jeopardizing privacy, they must first undergo a process known as database sanitization. During this process, databases are transformed following graph transformations that are usually described informally or through ad-hoc processes. However, a more thourough formalization of these transformations would aid in analysing the sanitization process, ensuring its correctness, and demonstrating the resulting privacy guarantees. This paper is an effort toward bridging the gap between the rigorous graph rewriting approaches and graph sanitization. We propose a graph transformation language to serve as a basis for constructing various sanitization mechanisms. This language relies on a set of elementary transformation operators formalized using a generic algebraic graph rewriting approach. Our language takes into account semantic and supports the equivalent of WHERE and EXCEPT clauses. As a proof of concept, we use these operators to implement two mechanisms from the literature, one generic (Local Differential Privacy) and one specifically introduced for semantic graph databases (sensitive attribute masking through anatomization). We propose an open-sourced tool implementing the elementary operators and the privacy mechanisms we derive from them relying on the Attributed Graph Grammar System (AGG) and its java API, providing a concrete tool implementing formal graph rewriting mechanisms to sanitize semantic graph databases. We present experimental results on this implementation regarding both proposed schemes and discuss its efficiency and scalability.
A comprehensive review of the data and knowledge graphs approaches in bioinformatics
Authors: Galluzzo Ylenia
Published: May 2024

The scientific community is currently showing strong interest in constructing knowledge graphs from heterogeneous domains (genomic, pharmaceutical, clinical etc.). The main goal here is to support researchers in gaining an immediate overview of the biomedical and clinical data that can be utilized to construct and extend KGs. A in-depth overview of the available biomedical data and the latest applications of knowledge graphs, from the biological to the clinical context, is provided showing the most recent methods of representing biomedical knowledge with embeddings (KGEs). Furthermore, this review, differentiates biomedical databases based on their construction process (whether manually curated by experts or not), aiming to offer a detailed overview and guide researchers in selecting the appropriate database for their research considering to the specific project needs, available resources, and data complexity. In conclusion, the review highlights current challenges: integration of different knowledge graphs and the interpretability of predictions of new relations.
Some remarks on I(Sθ)-summability via neutrosophic norm
Authors: Sharma Archana , Kumar Vijay , Ganaie Inayat
Published: May 2024

For an admissible ideal I ? P(N) and a lacunary sequence ? = (ks), the aim of the present paper is to introduce the concept of I(S)-summability and I(S?)-summability w.r.t neutrosophic norm (G,B,Y). We also investigate some relations among these notions and prove that these are equivalent if and only if 1 < lim infs qs ? lim sup s qs < ?.
Canonical F-planar mappings of spaces with affine connection onto 3-symmetric spaces
Authors: Peska Patrik , Berezovski Vladimir , Cherevko Yevhen , Petrovic Milos
Published: May 2024

We consider canonical F-planar mappings of spaces with affine connection onto
3-symmetric spaces. The main equations for the mappings have been obtained
as a closed system of PDEs of Cauchy type in covariant derivatives. We have
found the maximum numbers of essential parameters which the general solution
of the system depends on.
New analytical method for cubic Klein-Gordon equation
Authors: Ren Feng
Published: May 2024

In this paper, the (2+1)-D cubic Klein-Gordon model is investigated, which is used to described the propagation of dislocation in crystals. A simple and efficient analytical technology is successfully employed to seek some new periodic and solitary wave solutions, which is called sine-cosine method. The physics properties of these obtained periodic and solitary wave solutions are illustrated by corresponding graphs.
Does shear viscosity play a key role in the flow across a normal shock wave?
Authors: Zhou Huaichun
Published: May 2024

Once there is a velocity gradient in a viscous fluid-flow, such as that across a shock wave, a viscous force and viscous energy loss exist inside the flow according to the Navier-Stokes equation, which may confuse the relative contribution of compressibility and viscosity. In this paper, a viscous shear vector is defined as the component of gradient vector of local velocity magnitude perpendicular to the velocity vector. Then, a local viscous energy flux vector is defined from the viscous shear vector after being multiplied by the viscosity and the velocity magnitude. The divergence of the viscous energy flux vector results in new expressions for viscous force and loss of viscous energy, in which all the square terms of derivative of velocity components correspond to irreversible energy loss. The rest part can be taken as a kind of mechanical energy transfer done by the viscous force, from which the viscous force components can be got based on the assumption that the viscous force vector is parallel to the velocity vector. The new equations are different from and more complex than those in the traditional Navier-Stokes equation. By the new theory, it is shown that there is no shear viscous force and shear viscous energy loss in the flow across a normal shock wave without velocity gradient perpendicular to the flow direction.
Autologous fat transplantation prior to permanent expander implant breast reconstruction enhances the outcome after two years: a randomized controlled trial
Authors: Lindegren Anna , Schultz Inkeri , Edsander-Nord Åsa , Yan Jacinth , Wickman Marie
Published: May 2024

Radiotherapy is important in breast cancer treatment. A side effect of the treatment is fibrosis that decreases the possibility for a successful breast reconstruction with expanders and with high patient satisfaction with the result. The most common option for mastectomized, irradiated women wishing for a breast reconstruction is autologous tissue transplantation. However, some patients are not suitable for flap surgery. Fifty mastectomized and irradiated women were included in a randomized controlled trial. They underwent breast reconstruction with expanders and were allocated 1:1 to either receive pre-treatment with autologous fat transplantation (AFT) or not. Primary outcomes were frequency of reoperations and complications. Secondary outcomes were number of days in hospital, number of outpatient visits to surgeon or nurse and patient reported outcome as reported with Breast Q. Follow-up time was 2 years. Fifty-two per cent of the intervention group and 68% of the controls underwent reoperations (p = 0.611). Thirty-two per cent of the intervention group and 52% of the controls had complications (p = 0.347). The median number of consultations with the nurse was four in the intervention group and six in the control group (p = 0.002). The AFT patients were significantly more satisfied with their breasts and psychosocial well-being after 2 years. They also had higher increase in satisfaction with breasts, psychosocial well-being, and sexual well-being when comparing baseline with 2 years postoperatively. This randomized controlled trial indicates benefits of AFT prior to breast reconstruction with expanders, especially on patient reported outcome even if the study sample is small.
The data economy
Authors: Figueiredo Américo Rodrigues de , Serec Leticia De Conti , Graglia Marcelo Augusto Vieira
Published: May 2024

This article analyzes the evolution of capitalism under the logic of the data economy, the result of the transition to a paradigm dominated by knowledge, technology and design. The data economy, driven by Artificial Intelligence technologies, opens up possibilities for digital businesses. The impact of digitalization, technology on business models and global socioeconomic dynamics are discussed, with special emphasis on the role of Big Techs. A broad bibliographical review, from a multidisciplinary perspective, allows us to analyze how hyperconnectivity and emerging technologies are restructuring interactions and production processes, transferring the centrality of capital from the physical to the immaterial. The article also addresses the ethical and regulatory implications of this scenario, highlighting the need for effective techno-regulation. In the context of Brazil, a fertile environment for startups and fintechs can be identified, although limited by structural challenges, highlighting the importance of public policies that promote innovation and technological education. It concludes with a reflection on the need for more solid and equitable data governance, aligning technological advancement with the protection of rights.
ANALISIS KEBUTUHAN PENGEMBANGAN MEDIA EGRANG BOARD GAME DALAM MENINGKATKAN MOTIVASI BELAJAR IPAS
Authors: Gita Tasya Dea
Published: May 2024

Permasalahan pada penelitian ini adalah penggunaan media pembelajaran yang monoton di sekolah dasar dan motivasi belajar siswa rendah. Sehingga, penelitian ini bertujuan mengembangkan media pembelajaran egrang board game dalam meningkatkan motivasi belajar IPAS kelas 4 SD yang dibatasi pada tahapan awal pengembangan yaitu tahapan analisis. Jenis penelitian ini ialah penelitian R&Dmengunakan model pengembangan ADDIE. Teknik pengumpulan data menggunakan wawancara, observasi dan dokumentasi. Hasil penelitian menunjukkan media yang guru gunakan sangat monoton dan perlu adanya pengembangan media pembelajaran untuk meningkatkan motivasi belajar siswa kelas 4. Kesimpulan penelitian ini menunjukkan bahwa pengembangan media pembelajaran egrang board game dapat menjadi solusi dalam meningkatkan motivasi belajar IPAS kelas 4 SD. Perlu dilakukan observasi dan analisis kebutuhan siswa terkait media pembelajaran dengan lebih mendalam sebagai upaya tambahan untuk memahami preferensi dan gaya belajar siswa secara menyeluruh.
Pelatihan Google Workspace untuk Peningkatan Kapasitas Anggota Mission 21 Asia dalam Pengolahan Data Kegiatan dan Alumni
Authors: Chrisantyo Lukas , Chrismanto Antonius Rachmat , Wibowo Wahju Satria , Delima Rosa , Lukito Yuan
Published: May 2024

Mission 21 Asia merupakan organisasi kemasyarakatan yang berpusat Basel, Switzerland. Mission 21 memiliki berbagai program pelatihan untuk pengembangan diri baik bagi anggota maupun masyarakat umum. Saat ini belum dilakukan pengolahan data yang terstuktur dan tersistem untuk program pelatihan yang telah dilaksanakan. Kebutuhan pengelolaan data hasil pelatihan yang rutin diadakan oleh suatu institusi menjadi hal yang diperlukan untuk evaluasi dan pengukuran kinerja hasil pelatihan. Selain itu pengelolaan data alumni dari sebuah program pelatihan sangat dibutuhkan untuk memudahkan proses pencarian data. Berdasarkan kebutuhan tersebut Mission 21 Asia dituntut untuk memanfaatkan teknologi informasi untuk membantu pengelolaan data alumni dan mitra mereka yang tersebar di berbagai daerah di Indonesia. Fakultas Teknologi Informasi Universitas Kristen Duta Wacana (FTI UKDW) bekerjasama dengan Mission 21 Asia memberikan pelatihan dan pendampingan pengelolaan data menggunakan Google Workspace mulai dari teori hingga implementasi. Materi pelatihan meliputi pemanfaatan Google Forms, pengelolaan data dilakukan baik secara online maupun onsite melalui aplikasi pengolah data, hingga mengembangkan sebuah aplikasi dashboard sederhana yang bisa dimanfaatkan secara langsung oleh para mitra Mission 21. Hasil pelatihan adalah peningkatan kemampuan peserta untuk membuat sistem data base alumni berdasarkan kebutuhan informasi yang diharapkan. Peserta memahami bagaimana mengolah informasi alumni melalui pengembangan sistem manajemen alumni.
Pengenalan Aplikasi TikTok Sebagai Platform Digital Marketing Kepada iGeneration
Authors: Wardhanie Ayouvi , Wibowo Alexander , Arion Benediktus , Putri Agustin Heppy , Azmi Syahputra Noval
Published: May 2024

The community service aims to provide knowledge to the young generation, primarily middle and high school students, to get to know TikTok as an application that is not just entertainment but can also be used as a digital marketing medium for branding oneself and doing business. The method in this activity consists of three stages: preparation, which includes observing the application, reviewing problems, and creating modules; the second stage of implementation, which consists of workshops and consultations; and finally, the report, namely evaluation and journal publication. The results of this activity include training attended by six people from various schools in Indonesia and carried out online via Google Meet. Based on the results of the questionnaire via Google Form, overall, participants felt that the material provided was relatively straightforward to understand, participants were able to create content plans, and most importantly, they were able to hone their skills in business and personal branding on social media, especially on TikTok.
Enhancing Grid Stability and Sustainability: Energy-Storage-Based Hybrid Systems for Seamless Renewable Integration
Authors: Rakib Md Wahiduzzaman , Munna Ahsan Habib , Farooq Talha , Boker Agili , He Miao
Published: May 2024

In the face of escalating global energy demand, the shift towards renewable energy sources has emerged as a sustainable solution. However, the integration of renewable energy into the electrical grid introduces challenges such as intermittent and instability. The concept of energy-storage-based hybrid systems, which combines renewable energy systems with energy storage, presents a promising approach to overcome these hurdles. These hybrid systems enhance grid stability by ensuring a consistent energy supply, compensating for the variable output of renewable energy sources, and providing ancillary services to the grid. Furthermore, they pave the way for a more resilient and reliable energy infrastructure, fostering the seamless integration of a substantial share of renewable energies. This paper offers a comprehensive exploration of energy-storage-based hybrid systems, discussing their structure, functioning, and the pivotal role they play in bolstering grid stability and promoting the unobstructed integration of renewable energy sources.