bluuebunny/crossref_metadata_2025 huggingface dataset:
Güncel Ağız Diş Çene Cerrahisi III
Authors: Kaplan Volkan , Feslihan Erkan , Ciğerim Levent , Cavlı Bedreddin , Yücel Ziver Ergun , Yıldırım Elif Betül , Çilel Tülay , Çelik Samican , Altan Ahmet , Çalışkan Gizem , Saruhan Köse Nesrin , Tekin Görkem , Biçer Ozan , Bolayırlı Berk , Zor Zeynep F. , Durdu Tuğrul
Published: December 2024

Diş Hekimliğinde Lokal Anestezi Komplikasyonları
Volkan KAPLAN
Erkan FESLİHAN
Levent CİĞERİM
İatrojenik İnferior Alveoler Sinir Hasarlarında Tedavi Zamanlaması ve Cerrahi Olmayan Tedavi Yöntemleri; Ne Zaman, Hangi Tedavi?
Bedreddin CAVLI
Ziver Ergun YÜCEL
İatrojenik Mental Sinir Hasarının Sebepleri, Cerrahi İşlemlere Getirilen Modifikasyonlar
Bedreddin CAVLI
Ziver Ergun YÜCEL
Oroantral Açıklıkların Tedavi Yöntemleri: Derleme
Elif Betül YILDIRIM
GömülüÜçüncü Molar Dişlerinin Cerrahi Ekstraksiyonu Sırasında Görülen Komplikasyonlar
Tülay ÇİLEL
Dental İmplant Cerrahisinde Karşılaşılan Komplikasyonlar ve Çözüm Önerileri
Samican ÇELİK
Ahmet ALTAN
Zigomatik İmplantlar
Gizem ÇALIŞKAN
Nesrin SARUHAN KÖSE
Temporomandibular Eklem Hastalıklarında Artrosentez Uygulaması
Görkem TEKİN
Ozan BİÇER
Oral Liken Planus: Tanı ve Tedavi Yöntemleri
Berk BOLAYIRLI
Zeynep F. ZOR
Oral Cerrahide Biyopsi Endikasyonları ve Teknikleri
Tuğrul DURDU
Zeynep F. ZOR
Kapabilitas Auditor Internal pada Early Warning dalam Mendeteksi Potensi Kecurangan (Fraud)
Authors: Fitriadi Fitriadi , Muhammad Reza Ramdani
Published: December 2024

Research aims to test the auditor internal's expertise in early warning at Bank Syariah Indonesia KC Makassar 2. The independent variable used is the auditor internal's expertise while the dependent variable used is the fraud early warning system. The data in this research was obtained from Bank Syariah Indonesia KC Makassar 2 who were willing to be respondents. The results of this research indicate that the auditor internal's skill variable has a positive and significant effect on the fraud early warning system variable.
relatos sobre el martirio del Santo Niño de la Guardia. Inquisición, martirio e historiografía
Authors: Espinoza Meléndez Pedro
Published: December 2024

Este artículo analiza las narrativas inquisitoriales, hagiográficas e históricas que se construyeron a partir del caso conocido como el “Santo Niño de la Guardia”, una devoción que surgió a partir de un juicio inquisitorial del siglo XV en Toledo, donde cinco personas fueron condenadas a muerte en un auto de fe, acusadas de haber cometido un asesinato ritual a un niño cristiano durante la Pascua. El cadáver del niño nunca fue encontrado porque, como han mostrado las investigaciones contemporáneas, dicho asesinato nunca ocurrió. Sin embargo, entre los siglos XVI y XVIII se elaboraron relatos hagiográficos sobre la vida, muerte y milagros del niño que fueron puestos en entredicho con la aparición de la historiografía moderna y secular. A pesar de que incluso algunos historiadores católicos reconocen que el relato fue más producto de los prejuicios antijudíos de los inquisidores que de lo efectivamente ocurrido, el relato persiste en una devoción local de Toledo. En este sentido, el caso del Santo Niño de la Guardia y los relatos producidos sobre este resultan relevantes no sólo para la historia del antisemitismo y de las instituciones inquisitoriales en España, sino también para observar los cambios ocurridos en el tránsito de la historia eclesiástica a la historiografía moderna.
“Expulsar del territorio nacional, sin más trámites”.
Authors: Mallea Felipe
Published: December 2024

Es obligación del Estado trabajar en la puesta en valor de la documentación administrativa para contribuir a la verdad social y la reparación de las víctimas afectadas por la dictadura en Chile. A más de 50 años del golpe de Estado y más de 33 años desde el fin de la dictadura, la documentación administrativa producida por organismos estatales ha sido escasamente trabajada desde el punto de vista de la justicia transicional y bajo un enfoque de derechos humanos. El presente artículo busca explicar el camino que ha seguido el Servicio Nacional de Migraciones para crear un repositorio digital público con la documentación del Departamento de Extranjería y Migración (DEM) producida entre 1973 y 1990. Entre las potencialidades y las distintas audiencias a las que está dirigido este repositorio, argumentamos que la puesta en valor de esta documentación permite identificar otro tipo de sujetos afectados por la burocracia represiva de la dictadura: las personas extranjeras. Se trata de sujetos que han sido poco reconocidos como uno de los principales grupos sobre los que la dictadura, haciendo uso de la burocracia estatal, perpetró su represión.
Recomendaciones para el mes de Mayo
Authors:   Centro Nacional de Investigaciones de Café
Published: December 2024

El monitoreo y seguimiento de la región central del océano Pacífico Tropical y los análisis de predicción climática, indican la finalización del fenómeno de La Niña.
Recomendaciones para el mes de Abril
Authors:   Centro Nacional de Investigaciones de Café
Published: December 2024

Las predicciones estiman que el evento El Niño sea de intensidad débil y, contrario a los análisis presentados en los meses anteriores, es probable que el fenómeno dure todo el año.
Recomendaciones para el mes de Junio
Authors:   Centro Nacional de Investigaciones de Café
Published: December 2024

Las condiciones de la temperatura superficial del mar del Pacífico tropical son consistentes con condiciones débiles de El Niño. La temperatura superficial del mar en el Pacífico Tropical continúa presentando niveles correspondientes a un fenómeno El Niño débil; se estima que estas condiciones se mantengan durante el período de junio a agosto, con probabilidad del 70%. Debido a que no se ha presentado acople entre el océano y la atmósfera asociado a El Niño, se ha favorecido sobre el territorio colombiano la ocurrencia de otros fenómenos climáticos que generan cambios en los patrones de precipitación y temperatura.
Recomendaciones para el mes de Febrero
Authors:   Centro Nacional de Investigaciones de Café
Published: December 2024

Para el mes de febrero de 2021 se predicen reducciones de precipitación entre el 10% y el 50% con respecto a los promedios históricos. Continúan presentes las condiciones de un evento La Niña débil y se prevé que se mantengan hasta mayo de 2021.
Recomendaciones para el mes de Septiembre
Authors:   Centro Nacional de Investigaciones de Café
Published: December 2024

Para septiembre de 2021 se estiman valores de lluvia cercanos a los registros históricos en la mayor parte de la región cafetera. En el Centro del Valle del Cauca, Centro y Sur de Cauca y Norte de Nariño se preven reducciones de lluvia entre el 10% y el 20% Para la temperatura mínima y máxima, se estiman valores cercanos a los registros históricos en gran parte del país.
Recomendaciones para el mes de Octubre
Authors:   Centro Nacional de Investigaciones de Café
Published: December 2024

La condición Neutra de El Niño Oscilación Sur está presente, aunque los principales centros de monitoreo mencionan la probabilidad de que se establezca una condición La Niña, entre el último trimestre de 2021 y primero de 2022. Para octubre de 2021 se estiman valores de lluvia cercanos a los registros históricos en la mayor parte de la región cafetera. En el Centro y Norte del Huila y Caquetá se prevén disminuciones de lluvia entre el 10% y el 20%. En sectores específicos de La Guajira, se estiman aumentos de lluvia entre el 10% y el 20%. Para la temperatura mínima y máxima, en gran parte del país, se estiman valores cercanos a los registros históricos.
Recomendaciones para el mes de Noviembre
Authors:   Centro Nacional de Investigaciones de Café
Published: December 2024

Noviembre hace parte de la segunda temporada de precipitaciones en gran parte del país. Para este mes se pronostican aumentos de lluvia entre el 40% y 60% con respecto a los promedios climatológicos en sectores de Norte de Santander, altiplano Cundiboyacense, Norte-centro del Huila y Noroccidente de Caquetá. También se estiman incrementos de lluvia entre 20% y 40% en Cesar, Antioquia, Caldas, Quindío, Risaralda, Tolima, Oriente de Boyacá, Cundinamarca, Valle, Cauca y Nariño. Para el resto de la región se prevén valores cercanos a los promedios históricos.
On the asymptotic values of meromorphic functions in the

n

-fold punctured plane
Authors: Arias Arturo Fernández
Published: December 2024

UDC 517.5
We present some results  on the asymptotic paths and asymptotic values for meromorphic functions in the

n

-fold extended punctured plane 

ℂ
^

\

{

p
1

,
…
,

p
n

}

.

 These results extend some classical results obtained for analytic and meromorphic functions in the complex plane

ℂ
.

  In particular, in this more general setting,  we give a version of   F. Iversen's result on the existence of asymptotic values for entire functions  in the plane.  We also obtain a bound for the number of isolated directly critical singularities of a meromorphic function of finite order

k

and a finite number of poles.
Potentials for solenoidal fields using the three-dimensional

φ

-harmonic cyclic algebra
Authors: Díaz-Marín Homero G. , López-González Elifalet , Osuna Osvaldo
Published: December 2024

UDC 517.5
Given a PDE, in [E. López-González, E. A. Martínez-García, R.~Torres-Córdoba, Chaos, Solitons and Fractals, 73, Article 113757 (2023)], the authors proposed a method for the construction of solutions by considering an associative real algebra

𝔸

and a suitable affine vector field

φ

with respect to which the components of all functions

ℒ
∘
φ

are solutions, where

ℒ

is differentiable in a sense of Lorch with respect to

𝔸
.

 If we consider the 3D cyclic algebra and a suitable 3D affine map

φ
,

then we get families of solutions for the Laplace equation with three independent variables.
Degenerations of 3-dimensional nilpotent associative algebras over an algebraically closed field
Authors: Ivanova N. M. , Pallikaros C. A.
Published: December 2024

UDC 512.5+514
We determine the complete degeneration picture inside the variety of nilpotent associative algebras of dimension three over an algebraically closed field.  As compared with the discussion in [N. M. Ivanova, C. A. Pallikaros,  Adv. Group Theory and Appl., 18, 41-79 (2024)], for some arguments in the present article, it is necessary to develop alternative techniques, which are now valid over an arbitrary algebraically closed field. There is a dichotomy of cases concerning the  obtained results corresponding to the cases where the characteristic of the field is

2

or not.
Synthesis and in vitro evaluation of new oxadiazole thioethers as antibacterials
Authors: Abbas Ali H.
Published: December 2024

A study was conducted to synthesize a new set of compounds named comp.4–7 using the 1,3,4 tautomer of oxadiazole as the centroid unit. These compounds were subjected to various characterization processes, including thin-layer chromatography, infrared spectroscopy, and 1HNMR spectroscopy. The study was based on previous research that established several compounds’ diverse range of biological activities, such as hydrazide Schiff’s bases (hydrazones), oxadiazoles, thiophenes, and isoxazoles. These compounds had been found to possess properties against bacteria, fungi, TB, viruses, cancer cells, and inflammatory responses, as well as analgesic properties. The results of the docking study were conducted in MOE software, targeting the largest binding site of E. coli gyrase B (PDB: 6YD9) as identified by SITE FINDER, suggesting that these compounds had great potential to be effective antibacterial agents. To evaluate the synthesized compounds antibacterial activities, the well diffusion method was used, and the findings revealed that the synthesized compounds exhibit slight to moderate activities against E. coli, S. aureus, and K. pneumoniae.
Phylogenetic and taxonomic studies of six recently-described Stellaria species (Caryophyllaceae) from China, with an additional new species, Stellaria longipedicellata, from Sichuan
Authors: Wang Wenqiao , Su Zhiwei , Ma Zhonghui
Published: December 2024

The phylogenetic studies of the tribe Alsineae (Caryophyllaceae) have revealed a clearer boundary between the genus Stellaria and related genera, primarily relying on the morphological characteristics of style 3, stamens 10 and petals deeply bifid. However, the newly-published species in China, which have 5 styles or ten or more lobes per petal, challenge this boundary and necessitate further studies. In this paper, we reviewed six newly-published Chinese species of Stellaria, utilising both molecular phylogenetic evidence from nuclear ribosomal internal transcribed spacer (ITS) and four plastid regions (trnL-F, matK, rbcL, rps16) and morphological evidence. Our results demonstrated that the five new species (Stellaria abaensis, S. multipartita, S. pentastyla, S. procumbens and S. zhuxiensis) were nested within the genus Stellaria, but Stellaria motuoensis was sister to the genus Schizotechium. Herein, we accepted four new Stellaria species and proposed a new combination in Schizotechium and a new synonym in Stellaria. Additionally, we described a new species Stellaria longipedicellata from Sichuan Province, China, which was distinguished from the closely-related species Stellaria decumbens by its glabrous body, linear-lanceolate leaves, long pedicellate flowers, prostrate growth habit and flowers nearly equal to or slightly shorter than sepals. Both molecular and morphological evidence support the treatment of S. longipedicellata as a new species of the genus Stellaria.
ODNOS RODITELJSTVA I LJUDSKIH VRIJEDNOSTI: RAZLIKE S OBZIROM NA SPOL
Authors: Dević Ivan
Published: December 2024

The relationship between parenting and personal human values is examined,
whereby values are considered within Schwartz’s theory of universal human values.
The aim of this research is to examine the differences in personal human values of
parents and non-parents with regard to gender, age and education. The data were
collected as part of the ninth wave of the European Social Survey (ESS), and a nationally representative sample of citizens of the Republic of Croatia (N=1810) was
used. The relationship between gender, values and parenting was examined, with
the expectation that gender moderates the relationship between parenting and values, while the age and education of the respondents were controlled. The obtained
results indicate the existence of differences in the value system between parents
and non-parents and with regard to the gender of the respondents. With regard to
parenting, differences were obtained in the importance attached to the value types
of power and tradition, while with regard to gender, differences were obtained in
the attachment of importance to the value types of power, hedonism and stimulation, and the attachment of importance to the values of universalism, benevolence,
tradition and security. Contrary to expectations, gender does not moderate the relationship between parenting and personal human values.
Key words: personal human values, parenting, stability, sociodemographic
characteristics, European Social Survey, Croatia.
A Hybrid Technique of Diagnosing Kidney Disorder Using Deep Neural Network
Authors: M. Poovayar Priya , M. Ezhilarasan
Published: December 2024

The growing demand for renal alternative medical diagnostics is driven by their non-invasive, early, real-time, and painless characteristics. Early diagnosis of kidney disease is crucial, given its severity as a health issue. This paper introduces a novel method that integrates residual networks with long short-term memory (LSTM) through deep feature analysis. The LSTM network is employed to extract global features from the iris, such as Wolfflin nodules and lacunae. The Res-Net classification system is then used to distinguish between kidney and non-kidney diseases. Various image-processing techniques are applied to segment, enhance, and normalize the iris image while extracting its distinctive features. Experimental results show that our model achieves 95% accuracy in classifying kidney and non-kidney conditions based on iris analysis. Future work aims to predict additional diseases using a deep neural network applied to iris images.
ECG Biometric Authentication Using Deep CNN Feature Learning from Analytic Wavelet-Transformed Signals
Authors: Safie Sairul Izwan , Ja’afar Noor Huda , Johari Azyyati , Ismail Mohd Anuar
Published: December 2024

This paper investigates the use of continuous morse wavelet transform (CWT) coefficients as inputs to convolutional neural networks (CNNs) for electrocardiogram (ECG) biometric authentication. We evaluate the performance and generalization of pre-trained SqueezeNet architecture using the ECG-ID Database. Our approach involves extracting 10 scalograms from each subject’s ECG signals and employing gradient descent optimization during training. The models demonstrate high accuracy, achieving over 90% on both training and validation datasets, indicating robust performance and minimal overfitting. Further analysis using the F1 confidence curve and ROC curve reveals a balanced trade-off between precision and recall, with an optimal F1 score of 0.84 and an AUC of 0.84, respectively. Additionally, we explore the impact of different CWT parameter settings, including Voice per Octave (VPO), symmetry parameter (gamma), and time-bandwidth product (P2). The optimal VPO of 41 yields an AUC of 0.87 and an F1 score of 0.84. The best performance is achieved with gamma values greater than 2 and time-bandwidth products between 45 and 80, enhancing time localization and frequency resolution. In this study, the significance of fine-tuning wavelet parameters to improve the effectiveness of ECG biometric systems is demonstrated, demonstrating the potential of combining CWT and CNNs for reliable biometric authentication.
Interoperability Blockchain, InterPlanetary File System and Health Level 7 Framework for Electronic Health Records
Authors: Bran Estefano , Alzamora Adrian , Castañeda-Carbajal Bruno , Castillo-Sequera José Luis , Wong Lenis
Published: December 2024

Patient medical records and their accurate recording, storage, protection, and access are essential elements to high-quality healthcare. While many parts of the world have moved to traditional digital systems and electronic health records (EHRs), these systems require complex evaluation and large infrastructure investments, lack interoperability, and introduce the constantly-increasing challenges of cyber-attacks and digital security. The aim of this study is to address these challenges through a secure and accessible EHR management system, applied to allergy and family records, based on blockchain technology, the InterPlanetary File System (IPFS) protocol, and the health level 7 (HL7) fast healthcare interoperability resources standard. The proposal was carried out in four phases: (1) blockchain architecture design, (2) blockchain network design, (3) interoperability design, and (4) web application design. A performance evaluation of the system was conducted to determine the throughput and latency metrics. The results presented a maximum medical record reading and writing throughput of approximately eight transactions per second, with a write latency averaging 5,926 ms to 51,836 ms and a reading latency of 4,783 ms to 45,500 ms. With the addition of a survey of 21 patients and 10 healthcare professionals indicating that both groups strongly agree that the system meets the criteria of high-quality healthcare, all study results present a framework that could serve as a model for the adoption of standards-based, accessible, and secure EHR systems.
Longévité d’un canon : carnation et musculature dans les images de Serge Lifar
Authors: Ehrbar Lorena
Published: December 2024

Par l’examen des représentations photographiques et cinématographiques de Serge Lifar, et de leur diffusion, le présent article vise à éclairer certains ressorts visuels de la fascination exercée par le danseur, de ses débuts aux Ballets russes en 1923 jusqu’à la fin de son activité à l’Opéra de Paris en 1958. En mettant en scène sa carnation et sa musculature, ces images construisent un canon corporel à la fois inaccessible et profondément ancré dans son époque, performatif dans la durée grâce à sa diffusion dans les médias, dont l’essor est alors considérable. Le modèle représenté par Serge Lifar, situé par rapport à d’autres corps canoniques de son temps, tire son efficacité d’une perpétuelle négociation entre l’incarnation de fantasmes d’un ailleurs exotique et celle d’un idéal de la modernité blanche et désirable inspirée de l’antique.
Os oficiais da Justiça central régia nos finais da Idade Média portuguesa (ca. 1279-ca. 1521)
Authors: Homem Armando Luís de Carvalho
Published: December 2024

Uma panorâmica do desenvolvimento da Justiça régia e dos seus juízes no Portugal de finais da Idade Média.
AI and Machine Learning Applications in Sustainable Smart Cities
Authors: Abbass Mahapara , Abbas Uzma , Jafri Rana , Arif Syed Mohd , Akhai Shalom
Published: December 2024

Harnessing the power of artificial intelligence (AI) and machine learning (ML), this chapter delves into the pivotal role these technologies play in crafting sustainable smart cities. As urbanization surges, AI offers solutions for optimizing energy consumption, enhancing transportation systems, and revolutionizing waste management. By analyzing data from sensors and smart devices, AI empowers city planners and residents to make informed decisions, leading to significant reductions in energy usage and greenhouse gas emissions. Additionally, AI-driven optimization improves traffic flow, reduces congestion, and promotes efficient waste collection, thus fostering more environmentally friendly urban environments. Ultimately, AI and ML hold the potential to transform the landscape of sustainable urban development, paving the way for more efficient, resilient, and eco-conscious cities for future generations.
Sustainable Agriculture and Diet for Urban Development
Authors: Shafik Wasswa
Published: December 2024

This study analyzes how sustainable agriculture and nutrition link to a resilient and ecologically conscious future. It emphasizes food sustainability and the link between farming and diet. The paper discusses sustainable agriculture and eating and suggests research to improve our global food system. Sustainable agriculture promotes crop diversity, agroecology, and organic farming. This comprehensive strategy promotes environmental responsibility and climate change resistance. This emphasizes the importance of plant-based diets, food waste reduction, and meat awareness. The study shows that seasonal, local food is better for the environment and society. Examines the intricate relationship between farming and food. Circular food systems and ecosystem health emphasize the need for sustainable agricultural landscapes and diets. Finally, it identifies knowledge gaps, suggests research methods, and summarizes lessons learned. New technology, methods, and ideas can improve agriculture and diet sustainability.
Economic Development and Privacy Regulations in Malaysia
Authors: Kanojia Siddharth , Zahra Inas Afifah
Published: December 2024

Prioritising personal data privacy has become essential for cultivating a robust and sustainable digital economy. The volume of personal data generated and processed has increased dramatically as Malaysia moves closer to becoming a digital economy, driven by growing connectivity and quickening technological advancements. The Malaysian government has proposed significant amendments to the Personal Data Protection Act 2010 (PDPA) in response to the evolving global data protection standards and digital privacy landscape. This chapter aims to provide a comprehensive analysis of these proposed amendments and their implications for individual rights, data controller and processor responsibilities, and data governance. Apart from assessing the significant adaptations, the chapter offers a synopsis of worldwide advancements in data protection as well as an examination of the underlying legislative objectives.
Optimizing Stock Portfolio Using the Particle Swarm Optimization Algorithm and Assessing PSO and Other Algorithms
Authors: Jarchelou Samaneh Mohammadi , Vajargah Kianoush Fathi , Azhdari Parvin
Published: December 2024

When it comes to making financial decisions, choosing stocks is crucial to building a successful portfolio. Stocks are evaluated according to lower risk, and the best stocks are chosen to produce assets that are then utilized to construct the portfolio. In this study, we have compared the integrated particle swarm method to four other algorithms for stock selection and optimization: the genetic algorithm, the Pareto search algorithm, the pattern search algorithm, and quadratic programming in the Matlab toolbox. Six particular stock firms are taken into consideration for this reason during a given time period. First, we will use the aforementioned Matlab toolbox techniques to conduct Markowitz's mean variance model. Additionally, the usual embedded particle swarm methodology and the penalty function approach will be used to create this model. The difference between the averages at ten distinct levels of predicted values will be examined in the next research based on the returns in the chosen portfolios. Statistical tests will be employed to differentiate noteworthy distinctions between the suggested approach and the alternative algorithms. MSC: 65K10,91B05.
Collodion baby successfully treated with acitretin
 
Authors: Suwarna P. , Dayasiri Kavinda , Nawarathne Deepal
Published: December 2024

No abstract available
Spectrum of clinical presentation of pseudohypoparathyroidism in children: A case series from a tertiary care paediatric endocrine centre in Sri Lanka
 
Authors: Gamage Dilhara , Jayasundara Imalka , Siriwardana Dinendra , Atapattu Navoda
Published: December 2024

No absteact available
Oral thrush following application of Paan juice to make baby’s lips red: A harmful practice
Authors: Kumar K. Jagadish , Manjunath V. G. , Meruthula G. R. , Nandish H. R.
Published: December 2024

No abstract available
Burden of congenital malformations in children: Retrospective review in a paediatric surgical centre in Sri Lanka.
Authors: Athukorala C. K. , Bandara C. D. , Balasinghe S. T. , Benaragama K. N. , Athauda S. D. , Bandara N. M. , Banu N. , Arudsivam A. , Hettiarachchi M.
Published: December 2024

Introduction: Congenital malformations (CMs) are structural or functional abnormalities occurring during fetal development, responsible for a significant portion of infant mortality globally. In Sri Lanka, CMs account for 40.4% of infant deaths, highlighting the need for research and intervention.Objectives: To review and analyse types, risk factors and detection of CMs which presented to surgical services of a tertiary care children’s hospital in Sri Lanka in 2020. Method: A retrospective cross-sectional descriptive study was conducted, and data were collected from patients who presented with one or more CMs using a pre-tested questionnaire.Results: In 2020, 6.1% of total admissions were due to CMs with males affected predominantly. The cardiovascular system had the highest number of anomalies, followed by the genital and digestive systems. In the study group of 97 cases, 85.6% of patients had isolated defects, malformations in the genital system being the most frequently reported. Antenatal case detection was 7.4%, and most postnatal cases were detected during the neonatal period. Maternal risk factors included consanguineous marriages (6.4%), multiparity (66%), gestational diabetes mellitus (10.4%), hypertension (6.3%), lack of pre-conceptional folic acid supplements (26%), exposure to passive smoking (11.5%), and medication use during pregnancy (22.1%). Postnatally, 74.2% babies were born at term and 28.9% had low birth weight.Conclusions: In 2020 in SBSCH, Peradeniya, 6.1% of total admissions were due to CMs with males affected in 67.2% cases. CMs commonly affected the cardiovascular, genital and digestive systems. Maternal risk factors included consanguineous marriages, multiparity, gestational diabetes mellitus, hypertension, lack of pre-conceptional folic acid supplements, exposure to passive smoking, and medication use during pregnancy.
Exclusive breastfeeding practices during an economically challenged period in Kandy and Nuwara Eliya districts of Sri Lanka
Authors: Bandara Y. M. S. P. Y. , Wijayasinghe W. A. D. H. M. , Dissanayake Pathum
Published: December 2024

Background: Exclusive breastfeeding (EBF) is crucial for infants' health in their first six months. Despite global recommendations, achieving high EBF rates faces challenges in various regions. Understanding specific regional patterns and determinants is crucial for effective public health interventions. This research investigates breastfeeding (BF) patterns among infants under 6 months of age in Kandy and Nuwara Eliya districts during a period of economic challenges. Objectives: To describe BF patterns among 0-6-month-old infants, focusing on EBF prevalence, influential factors, district-wise comparisons, and the impact of economic crises on BF decisions. Method: A cross-sectional study surveyed 690 mother-baby pairs in selected communities. A structured questionnaire collected data on BF practices, socio-demographics, maternal knowledge, and the effects of the recent economic crisis.Results: Eighty percent practised EBF for the recommended 6 months and 95.1% initiated BF within an hour of birth. Employment challenges led 101 mothers to cease BF, significantly linked to economic constraints (p<0.001). The analysis showed differing EBF rates between Kandy (77.4%) and Nuwara Eliya (83.3%) without statistical significance (p=0.124). Working mothers had significantly higher odds of practising EBF (adjusted OR =4.314, p<0.001).Conclusions: Whilst 80% practised EBF for the recommended 6 months, 95% initiated BF within an hour of birth. Economic constraints were significantly associated with cessation of BF. Working mothers had significantly higher odds of practising EBF.
Fahr’s Disease: Two teenagers with different clinical spectra
 
Authors: Kumar Durgesh , Kumar Dinesh , Verma Ganesh , Yadav Rajesh
Published: December 2024

No abdtract available
An interventional study to improve the knowledge regarding low birth weight and its likely determinants among antenatal couples in the Anuradhapura District of Sri Lanka 
Authors: Guruge Najith  Duminda Galmangoda , Young Sansfica Marlyn , Dharmaratne Samath D. , Gunathunga M. Wasantha
Published: December 2024

Background: Low Birth Weight (LBW) is a significant public health issue. Therefore, improving knowledge and awareness among pregnant mothers and their partners about LBW and its determinants is vital Objectives: To implement and evaluate the effectiveness of a community-based health promotion intervention on pregnant mothers and their partners to increase knowledge on LBW and its determinantsMethod: This community-based interventional study utilized a pre-test and post-test design. The study involved 403 antenatal couples (comprising pregnant mothers and their partners), each of whom completed interviewer-administered questionnaires. The intervention followed community-based health promotion approach to enhance participants' knowledge; 104 group discussions were held in 26 antenatal clinics with an average duration of three hours per session. These included one initial training session and three follow-up sessions in each clinic. Intervention spanned four months. Statistical methods were employed to analyse pre- and post-intervention data.Results: A significant improvement in knowledge concerning LBW and its determinants was observed among pregnant mothers and their partners. Participants with initially low pre-assessment knowledge scores demonstrated improvement.Conclusions: Knowledge about LBW and its determinants among antenatal couples improved significantly following the community-based health promotion interventions.
Correlation between altered lingual function and speech disturbances
 
Authors: Balakrishnan Priyanka , Srinivasan Daya
Published: December 2024

Background: The lingual frenum plays a crucial role in oral motor function, and alterations in its position or morphology can contribute to speech disturbances in children. Understanding the correlation between altered lingual frenum and speech difficulties is essential for effective diagnosis and intervention.Objectives: To compare oral motor function parameters between children with and without speech difficulties associated with altered lingual frenum. Method: A prospective, observational cross-sectional study was conducted on children aged 6-15 years presenting at an Ear Nose and Throat (ENT) outpatient department. Participants underwent speech evaluation and oral motor function assessment, including maximum mouth opening, tongue positioning, and protrusion. Statistical analysis was performed using independent sample t-tests.Results: Significant differences were observed between groups in maximum mouth opening, tongue positioning, and protrusion. Children with speech disability (SD) demonstrated significantly reduced maximum mouth opening (16.30mm vs. 32.09mm), shorter distances to incisive papilla (15.26mm vs. 22.65mm) and hard palate (11.17mm vs. 17.65mm), and less tongue protrusion (17.00mm vs. 23.22mm) compared to those without speech difficulty (WSD). These findings suggest impaired oral motor function in SD, emphasizing the importance of tailored interventions.Conclusions: Children without speech difficulties exhibited greater ranges of motion and more favourable distances in maximum mouth opening, tongue positioning, and protrusion.
Hepatitis A and hepatitis E virus co-infection in children with acute viral hepatitis, associated risk factors and clinical outcome in a tertiary care hospital: A prospective observational study
Authors: Mehta Anita , Yadav Ajeet Kumar , Kumar Ankur , Singh Amresh Kumar , Dwivedi Gaurav Raj
Published: December 2024

Introduction: Acute viral hepatitis (AVH) is mostly caused by hepatitis A virus (HAV) and hepatitis E virus (HEV). Hepatitis B virus, on the other hand, is a major cause of chronic liver disease in children and adolescents.  Objectives: To determine the seroprevalence and clinical outcomes of HAV and HEV in children of different age groups in a tertiary care hospital in Eastern Uttar Pradesh, India.Method: During the study period, 382 clinically suspected cases of acute hepatitis were examined. Data included demographic information; and clinical history of illness specifically linked to the hepato-biliary system.Results: A total of 382 samples was screened for AVH of which 58 (15.1%) were HAV positive, 21 (5.4%) were HEV positive and 12 (3.1%) were positive for both anti‑HAV and anti‑HEV antibodies indicating HAV‑HEV co‑infection. There was also significant co-infection between hepatitis A and E. Male children (54%) were more prone to all kinds of viral hepatitis than female children (46%), with the most common age group being 0-5 years in HAV cases and 11-15 years in HEV cases. Icterus was the most prevalent clinical sign in the hepatitis profile, followed by fever, hepatomegaly and nausea.Conclusions: In this tertiary care hospital in Eastern Uttar Pradesh, India, the most frequent viral hepatitis infection in children was hepatitis A, followed by HEV. There was significant co-infection between hepatitis A and E.
A review of microbial pathogens and diagnostic techniques in children's oral health
Authors: Taha Ghada Ibrahim , Talib Ehab Qasim , Abed Farah Badri , Hasan Israa Amer
Published: December 2024

No abstract available
Urinary lipoarabinomannan for diagnosis of Tuberculosis in an HIV-negative population: A scoping review
Authors: Hirachund Omishka , Pillay Somasundram
Published: December 2024

Background: Tuberculosis (TB) remains a leading cause of mortality in low-resource settings and poses a diagnostic challenge in human immunodeficiency virus (HIV)-negative populations because of limitations in traditional diagnostic methods such as sputum smear microscopy (SSM) and sputum Xpert Ultra. There is a lack of effective, non-invasive diagnostic options for TB diagnosis in HIV-negative populations. This scoping review explores the potential of urinary lipoarabinomannan (ULAM) as a point-of-care diagnostic tool for Mycobacterium tuberculosis (MTB) in HIV-negative individuals.Aim: To evaluate the diagnostic performance of ULAM in detecting TB among HIV-negative populations and assess its feasibility as a rapid, non-invasive diagnostic method.Method: A systematic search was conducted across PubMed, Google Scholar and Scopus. Articles were selected based on relevance to the topic.Results: The search yielded 210 articles, with 11 meeting our inclusion criteria. These studies reported varying diagnostic performance metrics for ULAM: sensitivity ranged from 10.0% to 66.7% and specificity from 90.0% to 98.1% among different assays. Notably, the studies demonstrated that the novel assays such as Electrochemiluminescence LAM and the second-generation FujiLAM showed higher sensitivities of 66.7% and 53.2%, respectively. Despite these advancements, the overall effectiveness of ULAM in HIV-negative populations remains limited, with standard assays exhibiting sensitivities as low as 10.0%.Conclusion: While ULAM holds potential as a diagnostic tool in HIV-associated TB, its application in HIV-negative populations is constrained by low sensitivity of the currently available assays.Contribution: The development and validation of high-sensitivity assays are crucial for broadening the utility of ULAM in these populations.
Effect of Vibrational Abuse on the Electrodes of Nickel Manganese Cobalt (NMC) and Lithium Iron Phosphate (LFP) 18650 Cells
Authors: Manwatkar Asmita Ashok , Pandit Sachin Prabhakar , Santosh Jambhale Medha , Mahagaonkar Nitin
Published: December 2024

In light of the growing demand for Electric vehicles (EVs) as a sustainable mode of transportation, it becomes essential to understand the effect of various abuse conditions that batteries undergo. Vibrational abuse is a significant condition experienced by batteries in operation. Vibrations caused by road roughness, acceleration inertia, and other factors can affect key performance indicators such as cycle life, capacity retention, and safety. These cells undergo various chemical and mechanical reactions over time, leading to the degradation of components like the anode, cathode, electrolyte, separator, and current collector, resulting in reduced performance. Therefore, understanding battery degradation is important for managing system performance. This study is focused on a detailed analysis of Lithium Iron Phosphate (LFP) and Nickel Manganese Cobalt (NMC) cells subjected to vibrational abuse. Vibration testing was carried as per International Electrotechnical Commission (IEC) standard 62660-2 to assess the effect on cylindrical 18650 NMC & LFP cell materials. The cells were tested at different state of charge (SoC) levels-75% and 100%- under vibrational conditions. Testing parameters included an 8-hour duration in all directions (x, y, z), a frequency range of 10-2000, and an acceleration of 3 g- rms. post-testing, internal resistance was measured, and both anode-cathode materials underwent visual examination and detailed electrode material analysis using a scanning electron microscope (SEM) and energy-dispersive X-ray spectroscopy (EDS). The study indicated that vibrational abuse significantly affected NMC battery cells, which showed electrode degradation to a greater extent than LFP cells.
Effect of Temperature on Aluminum Alloy (Al4032) Using Textured Surface
Authors: Sahu Vikas Kumar , Shukla Pravesh Chandra , Gangopadhyay Soumya
Published: December 2024

The larger domain of surface texture geometry and other input variables related to engine operation, i.e., elevated temperature, has remained to be studied for finding suitable surface texture for real-time engine operations. In previous efforts to find suitable surface texture geometry and technique, the tribological performance of the piston material (Al4032) with dimples of varying diameters (90 to 240 μm) was evaluated under mixed and starved lubrication conditions in a pin-on-disk configuration. The disc was textured using a ball nose end mill cutter via conventional micromachining techniques. The area density and aspect ratio (depth to diameter) of the dimples were kept constant at 10% and 1/6, respectively. SAE 20W-40 oil was used as a lubricant with three separate drop volumes. The experiments were conducted in oscillating motion at temperatures of 50, 100 and 150°C. Conventional micromachining achieved improved dimensional precision and minimized thermal damage. Textured surfaces have shown reduced friction at elevated temperatures in both mixed and starved regimes of lubrication due to increased load-carrying capacity and reduced surface contact, respectively. Textured surfaces with a dimple diameter of 240 μm offered better storage for debris and wear particles, reduced surface contact and held a greater quantity of lubricant, resulting in better tribological characteristics compared to other textured and untextured surfaces.
Evaluation of Joining Performance of Different Coated Steel Sheets Used in Automotive Applications
Authors: Jain Vikas , Misal Swapnali , Deshmukh Mansi , Paliwal Lokesh
Published: December 2024

To meet the corrosion target of automotive vehicles, different coated steel sheets are used in various parts of the body in white (BIW), chassis, and powertrain. Hot dip galvanized (GI) and hot hip galvannealed (GA) are the two most commonly used steel sheets worldwide. Other coatings, such as Zn-Ni, Al-Si, Zn plating, and electro-galvanized zinc coating, are application-specific coatings that are used suitably to meet different performance requirements. To meet the robust corrosion and performance requirements, there is a trend of increasing the use of coated steel sheets in automotive vehicles. While different coated steels have different corrosion performance, they also exhibit different joining and paint adhesion performance. Spot welding is one of the most common technique used for joining automotive parts. Joint strength majorly depends on steel base material grade, chemistry and properties. However, coating on base material also influence joining performance. Major challenge is faced when different coated steel is used in same joint. Joint strength ultimately contributes to vehicle’s durability and crash performance, hence play a very important role. It is very important to know the characteristic and joint performance of different coated steel under different joint combinations. This paper discusses joining of different combination of GA, GI and bare steel, identification of suitable joining parameters & process, study of mechanical properties & microstructural characterization of joint.
Evaluation of Dynamic Load Coming on E-Driveline Due to Bump and Study its Effect on Motor Mountings and Battery Position
Authors: Deshmukh Shardul , Nikam Vinod
Published: December 2024

During the development of E-Driveline, it observed that loading failure encountered with On-highway vehicle’s E-Drivelines has increased in comparison with traditional driveline. The major cause of these failures is motor and battery reaction loads acting on driveline in electric vehicles. The main source of load generation is acute dynamic reaction coming from road conditions i.e., bumps, potholes, ditch, uneven surfaces, and it transferred to motor or batteries through the E-Driveline. The uneven distribution of motor and battery loads in vehicle will amplify the dynamic reactions which may lead to severe failures. It will be useful if we predict the dynamic loads in early design and simulation stage for accurate solution.

This work is based on development of multi body dynamic modeling and simulation approach to predict loads coming on to E-Driveline due to road conditions and correlate it with test setup of actual vehicle running on these road conditions. After the correlation, studied its effect on motor mountings and battery position to achieve the optimum load transfer with the help of dynamic simulations. Motor mounting position is optimized to get minimum displacement of motor block by iterating bushing stiffness and location. Battery position is adjusted based on load distribution of Front Axle weight (FAW), Rear Axle weight (RAW) and location of center of gravity (CG).

The present work contains simplified multi body dynamic full vehicle model with E-Driveline developed in dynamic software, bump geometry road profile with actual field measurements developed with the help of software tool. Test Setup is mounted on vehicle with load and accelerations sensor at different positions on E-Driveline for test data measurements. Simulations are carried out with different speeds same as test condition to correlate with measured test data. Based on correlated data this methodology will be useful for predicating G-Factors, dynamic loads for different E-Driveline variants.
Reinforcement Learning Based Intelligent Fan Controller
Authors: Chhagar Rohnit Singh , Navse Siddharth , Kumar Lavanya
Published: December 2024

In Automotive world, vehicle development includes design and testing of hardware and software. Hardware includes components required for actuation and sensing, along with the controller hardware. Software includes control logic embedded in controller for functioning of these components. Generally, software inside controller could be validated in various ways e.g., Software in Loop (SiL), Hardware in Loop (HiL), Vehicle testing. During initial phase of control software development cycle, plant models with adequate accuracy replicating hardware components are utilized for digital software validation. Many a times, hardware components might be available before control software matures. Hence, to validate plant models for their accuracy & quality alternate option of actual controller is needed during initial phase. Intelligent controller mimicking original controller can be an alternate option for plant model improvement and component level performance analysis. This paper proposes a Reinforcement Learning (RL) based intelligent controller for controlling Fan actuator of thermal management system of an electrical vehicle. In simulation world, this becomes advantageous from resource availability point of view, especially during initial phase of control software development. The same methodology can be extended to other components of system as well.
Data Driven Analysis of Road Infrastructure for Automotive Subsystems
Authors: Thakur Shivam , Salunke Omkar , Ambuskar Mandar , Pandey Lokesh
Published: December 2024

Road infrastructure has a significant impact on the performance of the truck components which includes ATS & turbocharger. Therefore, it is important for research and development teams to analyze the road infrastructure of the region in which trucks are going to be operated in the future, this helps the teams to make decision on component specification which will exactly cater the customer need in those regions and suggest the optimal design of the component. This paper shows a method to summarize and visualize the road infrastructure particularly focusing on length of road segment and its elevation profile distribution and other is an analysis on continuous road segments (without intersections) and their truck speed limit which will help engineers to identify critical routes & locations in those regions and choose precise parameters for their system using statistical data driven approach. This paper uses OpenStreetMap and Digital Elevation Models for elevation from open-source data for this analysis particularly the road information from the OSM PBF files. In the results section of this paper, complete method is demonstrated with example of Stuttgart, Germany region. The purpose of this paper is to demonstrate the proposed methodology to use road infrastructure data and develop meaningful insights from it which can be useful for research and development actives for understanding product requirements.