bluuebunny/crossref_metadata_2025 huggingface dataset:
Vitamin D Deficiency as a Risk Factor for Colorectal Cancer
Authors: Stojanovski Angjel
Published: February 2025

Introduction: Colorectal cancer is the third most common diagnosis and cause of death in both sexes in highly developed countries. It is assumed that environmental factors are involved in the development of the disease, with strong evidence favoring lifestyle as well as the influence of diet. There are also many studies that indicate that low vitamin D levels are a significant risk factor for the occurrence of colorectal cancer.Objective: To evaluate and compare serum concentrations of 25-hydroxyvitamin D (25(OH)D) between people diagnosed with colorectal cancer and a control group of healthy subjects.Materials and methods: A total of 30 people with colorectal cancer and a control group of 30 healthy subjects were analyzed in the study.Results: The comparison of the colorectal cancer group and control group in terms of serum vitamin D concentration showed that lower values ​​were measured in the group with colorectal cancer. The mean vitamin D concentration in the colorectal cancer group was 16.6 ± 7.8, while in the control group it was 28.7 ± 10.3; the difference of 12.1 was statistically significant, for p=0.001.Conclusion: The results of the presented study indicate significantly lower serum concentrations of 25(OH)D in individuals with colorectal cancer compared to the control group.
Leveraging complementary ion activation methods with proton transfer charge reduction reactions for comprehensive characterization of monoclonal antibody heavy chain subunits
Authors: Dunham Sean , Juetten Kyle , Hellinger Jessica , Gadallah Mohamed , Dioli Olivia , Brodbelt Jennifer
Published: February 2025

Characterization of large proteins by top-down mass spectrometry is challenged by low S/N of fragment ions and spectral congestion. Proton transfer charge reduction (PTCR) is one strategy that has shown great potential for addressing spectral congestion and enhancing sequence coverage of large proteins, but low S/N remains an obstacle, requiring extensive spectral averaging. Here we advance the characterization of large proteins, including an antibody (mAb) and an antibody drug conjugate (ADC), on a liquid chromatography timescale by implementing a hybrid strategy that combines ultraviolet photodissociation (UVPD), electron transfer higher collision energy dissociation (EThcD), PTCR, and gas-phase fractionation. By leveraging purposeful chromatographic peak broadening, fractionation + PTCR strategies, and the complementary nature of multiple activation methods, sequence coverages as a high as 83% and 79% were achieved for 50 kDa heavy chain (Hc) subunits of an mAb and ADC, respectively. Furthermore, unambiguous differentiation of two payload positional isomers of the ADC Hc was achieved.
Facet-dependent polaron stability in photocatalysis by SrTiO3: A constrained DFT study
Authors: Joutsuka Tatsuya
Published: February 2025

Strontium titanate (SrTiO3 or STO) is one of the promising photocatalysts for sustainable energy applications. Using the density functional theory (DFT) calculations, we herein study the structural and electronic factors contributing to its high photocatalytic activity and facet dependence. The constrained DFT method revealed that the hole polarons in bulk and surface STO are localized primarily on oxygen atoms. In contrast, electron polarons in bulk STO tend to delocalize over oxygen atoms unless stabilized by oxygen vacancies. The stability of hole polarons is higher at the surface O site of the (110) surface compared to the (001) surfaces. In addition, the oxygen vacancy is stable specifically at the TiO2-terminated (001) surface. These findings provide an atomic-level insight into the relationship between polaron stability and facet dependence of photocatalysis, paving the way for the design of more efficient STO-based photocatalysts.
Aggregation-Induced Effects on the Nonradiative Recombination Dynamics of Inverted Singlet-Triplet Heptazine-Based Materials
Authors: de Thieulloy Laure , Oliboni Robson , de Silva Piotr , Rego Luis
Published: February 2025

Heptazine (C6N7H3 ) serves as the core unit for various molecular and self-assembled compounds, finding applications in photocatalysis and optoelectronics. Some of its derivatives, such as melem and melon, are known to exhibit thermally activated delayed fluorescence (TADF). However, hindered by their insolubility and chemical inertness, a comprehensive understanding of the molecular mechanisms governing the photorelaxation dynamics of these compounds remains a matter of investigation. In this work, we present the first excited-state nonadiabatic simulations of heptazine-based molecules and aggregates, aiming to elucidate the role of nonradiative pathways in their photorelaxation processes. Our results reveal that isolated heptazine and melem (C6 N10 H6) molecules return to the ground state via conical intersections within sub-picosecond timescales following photoexcitation. In contrast, melem aggregation, driven by strong hydrogen bonding, markedly suppresses nonradiative photorelaxation through two mechanisms: (i) inter-molecular charge transfer, which reduces the likelihood of electron-hole recombination via internal conversion, and (ii) molecular packing, which prevents ring deformation, thus reducing the occurrence of conical intersections. These findings suggest that, in addition to being a TADF material, melem’s high photoluminescence quantum yield is further enhanced by aggregation-induced emission (AIE). Additionally, the findings provide valuable insights into the mechanisms underlying nonradiative recombination in organic solar cells.
Cambios en el orden mundial tras el fin de la Guerra Fría
Authors: Tello Vidal Luis
Published: February 2025

En este ensayo se explica la relación entre la globalización y su influencia en la construcción del orden mundial y el concepto de historia universal, entendido como algo reciente. Se analizan las diversas fases de la globalización, iniciada a partir de la llegada de Cristóbal Colón a América en 1492; las transformaciones políticas en el escenario del Mediterráneo, así como el papel de la tecnología en el impulso de la globalización y las dos oleadas de colonización desarrolladas (la primera, entre los siglos xv y xix y la segunda, de los siglos xix y xx. Se concluye que la historia universal es un proceso reciente, que va acompañado de un mundo más integrado en el cual sí es posible tener una historia común. Paralelamente, se analiza la edificación de un orden mundial que va a exhibir hitos históricos como la Paz de Westfalia de 1648, el Congreso de Viena de 1814-1815, la Conferencia de Berlín de 1885, la Paz de Versalles de 1919, la creación de la ONU y el inicio de la Guerra Fría en 1945, la finalización de esta última en 1991; finalmente, el tránsito de la bipolaridad a la unimultipolaridad y el camino hacia la multipolaridad de la actualidad.
Building a Diabetes Prediction System Based on Machine Learning Algorithms
Authors: Liang Shubo
Published: February 2025

This paper explores the possibility of using machine learning algorithms to predict type 2 diabetes. We selected two commonly used classification models: random forest and logistic regression, modeled patients’ clinical and lifestyle data, and compared their prediction performance. We found that the random forest model achieved the highest accuracy, demonstrated excellent classification results on the test set, and better distinguished between diabetic and non-diabetic patients by the confusion matrix and other evaluation metrics. The support vector machine and logistic regression perform slightly less well but achieve a high level of accuracy. The experimental results validate the effectiveness of the three machine learning algorithms, especially random forest, in the diabetes prediction task and provide useful practical experience for the intelligent prevention and control of chronic diseases. This study promotes the innovation of the diabetes prediction and management model, which is expected to alleviate the pressure on medical resources, reduce the burden of social health care, and improve the prognosis and quality of life of patients. In the future, we can consider expanding the data scale, exploring other machine learning algorithms, and integrating multimodal data to further realize the potential of artificial intelligence (AI) in the field of diabetes.
Analysis of Supplier Demand Factors Based on QFD in Mass Customization Environment
Authors: Zhang Yunlong , Wang Zengqiang
Published: February 2025

Supplier selection in a mass customization environment is a systematic engineering, and Quality Function Deployment (QFD) based on customer demand is a systematic product development method. This paper studies the adaptability of the QFD method and supplier selection process in a mass customization environment and puts forward a supplier selection framework based on the QFD idea. Furthermore, both the objective environment of demand factor analysis and the thinking of the customer representatives participating in the analysis have great uncertainty and fuzziness. Therefore, a demand factor analysis method for supplier selection in the mass customization environment based on language phrases of different granularity is proposed. The proposed method allows the customer representatives participating in the selection to use their preferred language phrase set to represent the importance of demand factors. Finally, the effectiveness and feasibility of the proposed method are verified by an example of a vehicle manufacturer.
Optimal Power Control for Energy Harvesting in Green Cognitive Radio Networks
Authors: Gong Qiliang
Published: February 2025

The integration of cognitive radio and energy has enhanced the utilization efficiency of the spectrum and promoted the application of green energy. To begin with, this paper presents the architecture of green energy-efficient communication and network models. It incorporates the distributed network model and the heterogeneous two-tier network model into the green cognitive radio power control and channel allocation model. The primary focus of this research lies in energy conservation at the physical layer. To mitigate the interference with primary users and address the peak constraint in secondary user power allocation, the article analyzes the system model of the cognitive radio network and subsequently elaborates on the dynamic throughput maximization allocation algorithm. Eventually, through experimental analysis and verification, the distinctiveness and comprehensiveness of the optimal power control for this subject are illustrated.
Vertical Power Generation Technology of Heterojunction Solar Cell
Authors: Wu Longhai , Zhang Lin , Zhong Jinzhi , Dong Jianshu
Published: February 2025

In this study, the power generation difference between the east-west and the north-south orientation of the vertically installed heterojunction solar cell (HJT) modules was deeply discussed. East-west oriented HJT module has 30% higher power generation, especially in desert photovoltaic (PV) with a bimodal distribution. While the south-north one has a single peak, the same as normal PV modules. Vertical power generation technology of HJT also has less land occupation, which is of great significance for optimizing the design of photovoltaic systems.
Development of Intelligent Manufacturing Teaching and Training Platform Based on Digital Twin
Authors: Zhao Zizheng , Zou Xueqian , Li Boyang
Published: February 2025

With the advancement and maturation of digital technology, immersive experiences, virtual interactive systems, and real physical environments are combined to create an independent “digital twin” world. In the field of intelligent manufacturing, there is a growing need to explore and develop a new platform for practical teaching based on digital twins, in line with the intelligent, networked, and digital transformation of education. By analyzing the design elements of this platform, building various digital twin prototypes and environments, and developing a teaching and training platform for intelligent manufacturing based on digital twins, significant improvements can be achieved in efficiency. Therefore, this paper discusses the development of an intelligent manufacturing teaching and training platform based on digital twins, aiming to enrich both the form and content of intelligent manufacturing training.
Study on the Hydraulic Performance and Efficiency of a Siphon Sediment Discharge Device with Bottom Hole Opening through Simulation Experiments
Authors: Hui Henglong , Li Yan , Cui Zhiying
Published: February 2025

In this study, the hydraulic behavior and sand transport efficiency of the siphon automatic sand discharge device were studied by software simulation tests. By simulating the actual situation, this study analyzed how factors such as the difference in water level, sediment concentration, and pipeline layout affected the sediment discharge effect. The results show that the sediment discharge device can effectively discharge sediment under diverse operating conditions and show adaptability to different environmental conditions, which indicates that it is suitable for various types of reservoir environments.
Assessment of the feed additive consisting of Lactiplantibacillus plantarum CECT 4528 for all animal species for the renewal of its authorisation (Centro Sperimentale del Latte S.r.l.)
Authors:   EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Villa Roberto Edoardo , Azimonti Giovanna , Bonos Eleftherios , Christensen Henrik , Durjava Mojca , Dusemund Birgit , Gehring Ronette , Glandorf Boet , Kouba Maryline , López‐Alonso Marta , Marcon Francesca , Nebbia Carlo , Pechová Alena , Prieto‐Maradona Miguel , Röhe Ilen , Theodoridou Katerina , Anguita Montserrat , Bozzi Cionci Nicole , Brozzi Rosella , Innocenti Matteo L. , Valeri Piera , García‐Cazorla Yolanda
Published: February 2025

Abstract
Following a request from the European Commission, EFSA was asked to deliver a scientific opinion on the assessment of the application for renewal of authorisation of Lactiplantibacillus plantarum CECT 4528 as a technological additive for all animal species. The applicant provided evidence that the additive currently on the market complies with the existing terms of the authorisation. The Panel concluded that the additive remains safe for all animal species, consumers and the environment. Regarding user safety, the additive is a preparation containing a microorganism and therefore should be considered as a skin and respiratory sensitiser. Any exposure through skin and respiratory tract is considered a risk. The additive is not an eye irritant. There is no need for assessing the efficacy of the additive in the context of the renewal of the authorisation.
Assessment of the feed additive consisting of bentonite for ruminants, poultry and pigs for the renewal of its authorisation (Biomin GmbH)
Authors:   EFSA Panel on Additives and Products or Substances used in Animal Feed (FEEDAP), Villa Roberto Edoardo , Azimonti Giovanna , Bonos Eleftherios , Christensen Henrik , Durjava Mojca , Dusemund Birgit , Gehring Ronette , Glandorf Boet , Kouba Maryline , López‐Alonso Marta , Marcon Francesca , Nebbia Carlo , Pechová Alena , Prieto‐Maradona Miguel , Röhe Ilen , Theodoridou Katerina , Galobart Jaume , Vettori Maria Vittoria , Holczknecht Orsolya , Ortuño Jordi , Pizzo Fabiola , Valeri Piera , Innocenti Matteo L. , Dulak‐Lis Maria
Published: February 2025

Abstract
Following a request from the European Commission, EFSA was asked to deliver a scientific opinion on the renewal of bentonite as a technological feed additive in the functional group of substances for reduction of the contamination of feed by mycotoxins for ruminants, poultry and pigs. The applicant has provided evidence that the additive currently on the market complies with the existing conditions of authorisation. There is no evidence that would lead the FEEDAP Panel to reconsider its previous conclusions. Thus, the Panel concluded that the additive remains safe for ruminants, poultry and pigs, consumers and the environment under the authorised conditions of use. Regarding user safety, the Panel concludes that bentonite is not irritant to the skin but is irritant to the eyes and should be considered a skin and respiratory sensitiser. Any exposure is considered a risk. There is no need for assessing the efficacy of the additive in the context of the renewal of the authorisation.
Reporting guidance for use level data on food additives and food flavourings ‐ 2025
Authors:   European Food Safety Authority (EFSA), Linares Alicia Gutiérrez , Salvatore Stefania , Belmonte Luca , Ruiz José Ángel Gómez
Published: February 2025

Abstract
This document should be used for the reporting to EFSA of the use levels of food additives and food flavourings in product categories/foods. It provides guidance on how to use the data model and gives information on the different data elements and business rules.
Vergi Usul Kanunu ve TMS 29 Yüksek Enflasyonlu Ekonomilerde Finansal Raporlama Standardı Kapsamında Enflasyon Muhasebesinin Özkaynaklar Üzerindeki Etkisi: BİST İmalat Sektöründe Bir Araştırma
Authors: Ergün İlknur
Published: February 2025

Yüksek enflasyonlu bir ekonomide, işletmelerin açıkladıkları finansal tablolardaki kalemlere ilişkin tutarlar, cari fiyat seviyelerinden ifade edilmedikçe gerçeğe uygun değeriyle raporlanmamakta ve faydalı finansal bilgi sunma özelliğini kaybetmektedirler. Enflasyonun bu olumsuz etkisini gidermek amacıyla Türkiye’de, vergi yasalarına ve Kamu Gözetimi Muhasebe ve Denetim Standartları Kurumu düzenlemelerine göre enflasyon düzeltmesi yapılmaktadır. Ancak her iki düzenlemede, düzeltmenin yapılacağı dönemler, kullanılan endeksler ve uygulamalar farklıdır. Bu da finansal tablo kalemlerinin tutarı, geçmiş yıllar kârları/zararları ile dönem kârı/zararında farklılık oluşturmaktadır. Çalışmada Vergi Usul Kanunu (VUK) ve Türkiye Muhasebe Standardı (TMS) 29’a göre yapılan enflasyon düzeltmesi sonucunda sermaye düzeltmesi, sermaye yedekleri ve kâr yedekleri kalemlerinin tutarlarında oluşan farkın, geçmiş yıllar kârları/zararları ve özkaynaklar üzerindeki etkisini tespit etmek amaçlanmıştır. Borsa İstanbul (BİST) imalat sektöründe faaliyet gösteren 115 işletmenin 2023 yılı finansal tablo ve dipnotları doküman analizi ile incelenerek, uygulama farklılıklarının etkisini ve önemini ölçmek amacıyla oransal analiz yapılmıştır. Yapılan değerlendirmede, özkaynak fon kalemlerinde her iki düzenlemeye göre enflasyon düzeltmesi sonucunda dikkat çekici farklar oluştuğu tespit edilmiştir. Sermaye Piyasası Kurulu’nun (SPK) 2024/14 sayılı bülteninde oluşan bu farkların SPK’ya tabi işletmelerin TMS 29’a göre yapacakları enflasyon düzeltmesinde Geçmiş Yıllar Kârları/Zararları hesabına aktarılacağı belirtilmiştir. Çalışma kapsamında yer alan imalat işletmelerin, TMS 29’a göre sunulan finansal tablolarında Geçmiş Yıllar Kârları/Zararlarında takip edilen farklar tutarının, özkaynaklar toplamına oranının ortalama %16 olduğu tespit edilmiştir. Enflasyon düzeltmesinde VUK ve TMS 29’a göre kullanılan iki farklı endeksin katsayıları dikkate alındığında, meydana gelen farkları ve uygulayıcıların iş yükünü azaltabilmek için enflasyon düzeltmesi uygulamalarında aynı endeksinin kullanılması önerilmektedir.
BİST’te İşlem Gören Sigorta Şirketlerinin SV-EDAS Yöntemleri ile Performans Analizi
Authors: Katı Murat
Published: February 2025

Ülkemizde sigorta sektörü, bankacılık sektörünün ardından finansal piyasanın en önemli aktörleri arasındadır. Bu çalışmada Türkiye’de sigorta sektöründe faaliyet gösteren ve Borsa İstanbul (BİST)’te işlem gören sigorta şirketlerinin finansal performanslarının Çok Kriterli Karar Verme (ÇKKV) yöntemlerinden İstatistiksel Varyans (SV) ve Ortalama Çözüm Uzaklığına Dayalı Değerlendirme (EDAS) yöntemleri ile analiz edilmesi amaçlanmaktadır. Çalışma kapsamında BİST’te işlem gören 6 sigorta şirketinin 2013-2023 dönemine ilişkin finansal performanslarının incelenmesi amacıyla, literatürde yer alan çalışmalardan faydalanarak 8 finansal kriter belirlenmiştir. Belirlenen kriterlerin ağırlıkları SV yöntemi ile hesaplanmış ve EDAS yöntemi ile analiz edilmiştir. Çalışma sonucunda şirketlerin finansal performanslarını etkileyen en önemli kriterlerin yıllar itibariyle farklılık gösterdiği ancak alınan prim (net)/toplam özkaynaklar, cari varlıklar/kısa vadeli borçlar ile uzun vadeli borçlar/toplam aktifler gibi kriterlerin her zaman öncelikli olduğu saptanmıştır. EDAS yöntemi ile gerçekleştirilen analiz sonucunda 2023 yılında finansal performansı en yüksek şirketin Agesa Hayat ve Emeklilik A.Ş., en düşük şirketin ise Ak Sigorta A.Ş. olduğu tespit edilmiştir.
Dijital Ekonominin Yükselişi ile Güncellenen Vergi Politikaları: Türkiye'de Mobil Cihazlar için Uygulama Geliştiren Gerçek Kişilere Yönelik Vaka Analizi
Authors: Açıkgöz Betül
Published: February 2025

Mobil uygulama geliştirme, dijital ekonominin hızla büyüyen bir sektörü olarak ön plana çıkmaktadır. Uygulama geliştiricileri, yenilikçi yazılımlar ve hizmetler sunarak kullanıcı deneyimlerini dönüştürmekte ve yeni pazarlar oluşturmaktadır. Geliştiriciler, teknoloji tabanlı yeniliklerin öncüsü olup oyunlardan finansal hizmetlere, eğitimden sağlık sektörüne kadar geniş bir yelpazede kullanıcı odaklı çözümler üretmektedir. Mobil uygulama geliştirme süreçleri, yalnızca teknik bilgi ve yaratıcılık gerektirmekle kalmayıp aynı zamanda yasal ve malî yükümlülükleri de içermektedir. Dijital platformlar aracılığıyla elde edilen gelirlerin vergilendirilmesi, geleneksel vergi sistemlerinde yeni düzenlemelerin yapılmasını zorunlu kılmaktadır. Dijital ekonominin hızla ilerlemesiyle birlikte, mobil uygulama geliştiricilerinin vergilendirilmesi ve vergide adaletin sağlanması giderek daha kritik bir konu haline gelmiştir. Bu çalışma, mobil cihazlar için uygulama geliştiren gerçek kişilerin vergi yükümlülüklerini ve bu çerçevede güncellenen vergi düzenlemelerini incelemektedir. Bu bağlamda, 193 sayılı Gelir Vergisi Kanunu'nun Mükerrer 20/B Maddesi, mobil uygulama geliştiricilerinin vergilendirilmesine yönelik önemli bir yasal düzenleme olarak öne çıkmaktadır. Bu makale, Türkiye'de mobil cihazlar için uygulama geliştiren gerçek kişilerin, geliştirdikleri mobil uygulamalar üzerinden elde ettikleri farklı türdeki gelirlerini ve bu gelirlerin vergilendirilmesine yönelik mevcut yasal düzenlemeleri, örnek olaylar çerçevesinde ele alarak derinlemesine analiz etmektedir.
Obtención de carbonato de calcio de alta pureza (CaCO3) utilizando materia prima comercial de bajo costo (Cal).
Authors: Rodríguez López Alfredo , Esquivias Fierro Anahí , Rodríguez Amaral Edén , Lara Banda María , Chávez Guerrero Leonardo
Published: February 2025

Este estudio investiga la síntesis de carbonato de calcio, lo que da como resultado dos productos con distintas cantidades y purezas. El análisis de difracción de rayos X (DRX) confirma que ambos productos consisten predominantemente en calcita, con picos característicos observadosa 29,5°, 36º, 39,5°, 43º, 47,5°, 48,5°, 56,5°y 57,5°. Además, la presencia de vaterita está indicada por picos a 24,9°, 27º y 32,7°, particularmente en la muestra depositada en el fondo. La microscopía electrónica de barrido (SEM) junto con la espectroscopia de rayos X de energía dispersiva (EDS) revela diferencias morfológicas significativas y niveles de impurezas variables entre las muestras. El carbonato de calcio flotado exhibe una mayor pureza, mientras que la muestra del fondo retiene impurezas como magnesio, silicio y aluminio. El crecimiento de los cristales durante la síntesis sigue un patrón concéntrico con diversas morfologías, incluidas estructuras en forma de flor y de aguja, características de la calcita. La presencia de carbonato de calcio amorfo (ACC) en condiciones de sobresaturación se corrobora con la formación de escamas irregulares. Esta técnica demuestra ser sencilla y amigable con el medio ambiente ya que se aleja de la síntesis tradicional del carbonato de calcio, dejando de lado las sales residuales provenientes de la síntesis tradicional.
Saúde Coletiva: Desafios e Perspectivas para um Mundo Mais Saudável
Authors: OLIVEIRA ANA MAIARA MARTINS DE , FERNANDES ELIZABETH BEZERRA , SILVA EVELLYN RIBEIRO DA , SILVA GABRIELE FERNANDES DA , DJIDONOU HOUEMAKOU RIMAUD , GUEDES BEATRIZ NEVES , REIS CAMILA DE CINTRA , DIAS CLÁUDIA LISBOA , REIS GIOVANNA MARIA REBOUCAS DOS , SALES KYVIA VOLZZI , SANTOS MARYANA VIANA DOS , SILVA STEFFANNY GEOVANNA DA , PORTO THAIS DE SOUSA , CONSTANTE VIVIANE DOS SANTOS , BARBOSA EMINA CAMILLE SILVA , GUEDES BEATRIZ NEVES , PETRI CLARA ELIS , OLIVEIRA FRANCYELLY SANTOS DE , SILVA LAURA CHRYSTINNE DA , BERNARDO LUANA CRISTINY SILVA , FONTINELE MANUELLA SOARES , SANTOS MARIA CLARICE DE JESUS , SILVA SÂMMYA GABRIELLE ARAUJO , SILVA VITÓRIA OLIVEIRA DA , GOMES WILIANNE DA SILVA , SILVA JOÃO PEDRO FEITOSA , ARARUNA JOSÉ FELLIPE LIMA , FERREIRA GIOVANA DA SILVA , NASCIMENTO LUCAS DE SOUSA , LIMA PEDRO HENRIQUE DA COSTA , MARTINS FELIPE SIMONSELOS , SÁ MATEUS SAULO DANTAS CORREIA E , SILVA MAYRA SOCORRO DE OLIVEIRA , LOPES RAYLLA DA SILVA , OLIVEIRA BEATRIZ LORENA FERREIRA DE
Published: February 2025

A segunda edição de Saúde Coletiva: Desafios e Perspectivas para um Mundo Mais Saudável apresenta uma análise aprofundada e atualizada dos principais desafios e avanços no campo da saúde coletiva.
Com uma abordagem interdisciplinar, a obra reúne especialistas de diversas áreas para discutir temas emergentes, como a equidade no acesso à saúde, os impactos das mudanças climáticas na saúde pública, o uso da tecnologia na gestão sanitária e o papel das políticas públicas na promoção do bem-estar global.
Além de revisões e atualizações baseadas em novas evidências científicas, esta edição inclui capítulos inéditos que exploram o impacto da pandemia de COVID-19, estratégias de enfrentamento às desigualdades sociais em saúde e modelos inovadores de atenção primária.
O livro se mantém como uma referência essencial para estudantes, pesquisadores, profissionais da saúde e gestores, oferecendo reflexões críticas e soluções práticas para a construção de um mundo mais saudável e sustentável.
APLICAÇÃO DA INTELIGÊNCIA ARTIFICIAL NO SISTEMA ÚNICO DE SAÚDE (SUS)
Authors: OLIVEIRA ANA MAIARA MARTINS DE , FERNANDES ELIZABETH BEZERRA , SILVA EVELLYN RIBEIRO DA , SILVA GABRIELE FERNANDES DA , DJIDONOU HOUEMAKOU RIMAUD
Published: February 2025

Este artigo analisa a aplicação da inteligência artificial (IA) no Sistema Único de Saúde (SUS), com foco
em seus benefícios, desafios e implicações no contexto brasileiro. Objetiva-se investigar como a IA pode
otimizar diagnósticos, tratamentos e a gestão de recursos no SUS, respeitando princípios éticos e legais,
bem como suas possíveis limitações no sistema de saúde. Dessa maneira, foi realizada uma revisão
sistemática de literatura e análise de fontes acadêmicas publicadas entre 2014 e 2024. Isso posto, a IA
demonstrou potencial para melhorar a precisão diagnóstica, prever doenças com base em modelos
preditivos e facilitar a personalização de tratamentos, além de otimizar processos administrativos.
Contudo, desafios relacionados à proteção de dados sensíveis, regulamentação jurídica e mitigação de
vieses algorítmicos foram identificados. Logo, conclui-se que a implementação responsável da IA no SUS
depende de políticas públicas robustas, capacitação profissional e estratégias para garantir a equidade no
acesso e o respeito à autonomia dos pacientes. Esse trabalho contribui para o entendimento das
possibilidades e limitações da IA no sistema de saúde pública, propondo diretrizes para uma adoção ética
e eficaz.
Acesso a direitos e políticas públicas de deslocados internos ambientais: os deslocados por barragens na Paraíba (2019-2024)
Authors: Pacífico Andrea Maria Calazans Pacheco , Moura Alexandrina Saldanha Sobreira de , Annoni Danielle , Arcos Igor Serejo Vale , Freire Juliana Henriques de Luna , Franciely de Melo Silva Thalita
Published: February 2025

O livro visa analisar o acesso a direitos e políticas públicas para deslocados internos ambientais por barragens na Paraíba entre 2019 e 2024. Realizado pelo Núcleo de Estudo e Pesquisa sobre Deslocados Ambientais (NEPDA) da Universidade Estadual da Paraíba, a pesquisa investiga a situação de deslocados, líderes comunitários e autoridades em diversos municípios. A construção e o rompimento de barragens têm causado deslocamentos, com a região Nordeste enfrentando desastres significativos. Na Paraíba, 396 das 638 barragens apresentam alto risco de desastre. Apesar da previsão de um marco legal para proteger os direitos desses deslocados, sua aplicação tem sido ineficaz. A coleta de dados incluiu pesquisa bibliográfica, entrevistas e observação em locais afetados, revelando que muitos deslocados não são reconhecidos oficialmente e carecem de proteção internacional.
A ARTE DA ENFERMAGEM
Authors: Silva Maycon Douglas Rodrigues
Published: February 2025

O objetivo central do A ARTE DA ENFERMAGEM é difundir o conhecimento e estimular o pensamento científico, discutindo temas de grande relevâncias na área da Saúde, com o intuito de atingir o maior número de pessoas possíveis. Queremos compartilhar trajetórias e experiências de profissionais e pesquisadores atuantes, que contribuirão para a atualização e o aprimoramento de acadêmicos e profissionais da saúde e áreas afins.
BASES FISIOPATOLÓGICAS DA ATEROSCLEROSE
Authors:   Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo,São Paulo, SP, Brasil, Hanna Rached Fabiana , Trombini Pinesi Henrique ,   Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo,São Paulo, SP, Brasil, Cordeiro Juliani Fabiana ,   Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo,São Paulo, SP, Brasil, Serrano Jr Carlos Vicente ,   Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo,São Paulo, SP, Brasil, Zorzanelli Rocha Viviane ,   Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo,São Paulo, SP, Brasil
Published: February 2025

A aterosclerose é a base fisiopatológica de muitas doenças cardiovasculares, incluindo a doença arterial coronariana. Trata-se de uma condição inflamatória multissistêmica complexa que afeta principalmente a camada íntima das artérias. Fatores de risco como hipertensão, tabagismo e diabetes desencadeiam alterações funcionais no endotélio, estimulando a expressão de moléculas de adesão, como o VCAM-1, que promovem a migração de monócitos para o espaço subintimal pela ação de moléculas quimiotáticas, como o MCP-1. Lá, os monócitos se diferenciam em macrófagos, que fagocitam lipoproteínas oxidadas, formando células espumosas. Essas células liberam citocinas inflamatórias, perpetuando a inflamação local e estimulando outras células do sistema imunológico, especialmente os linfócitos T CD4+, que desempenham um papel crucial na perpetuação e amplificação da inflamação. Com o avanço da lesão, células musculares lisas migram da túnica média para a íntima, contribuindo para a formação da capa fibrosa por meio da secreção de matriz extracelular. Processos como mineralização e neovascularização também favorecem o crescimento da placa. A ruptura da placa, mediada por enzimas como metaloproteinases e citocinas inflamatórias, expõe o núcleo lipídico ao sangue, desencadeando a formação de trombos que podem causar obstruções agudas. Outro mecanismo relevante é a erosão superficial, caracterizada por descontinuidade do endotélio, também associada a eventos isquêmicos. A progressão da aterosclerose não é linear, ocorrendo em fases de estabilidade intercaladas por períodos de rápido crescimento. Esses mecanismos tornam a inflamação um alvo central na compreensão e tratamento das complicações ateroscleróticas. O conhecimento dessa fisiopatologia permite o desenvolvimento de novas estratégias terapêuticas para a aterosclerose.
BIOMARCADORES INFLAMATÓRIOS NA ESTRATIFICAÇÃO DE RISCO E ACOMPANHAMENTO DOS PACIENTES: FOCO NAS ESTRATÉGIAS ANTI-INFLAMATÓRIAS
Authors:   Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-UNIFESP). São Paulo, SP, Brasil, Helfenstein Fonseca Francisco Antonio , Arruda Nakazone Marcelo ,   Faculdade de Medicina de São José do Rio Preto (FAMERP). São José do Rio Preto, SP, Brasil, de Oliveira Izar Maria Cristina ,   Escola Paulista de Medicina da Universidade Federal de São Paulo (EPM-UNIFESP). São Paulo, SP, Brasil,   Rede Brasileira de Colaboração e Avanço no Conhecimento em Hipertrigliceridemias Graves - Rede Hipertri Brasil, Casa dos Raros. Porto Alegre, RS, Brasil
Published: February 2025

A inflamação crônica de baixo grau é uma importante força motriz para o início e progressão da doença aterosclerótica cardiovascular (DASCV), para as síndromes clínicas associadas à insuficiência cardíaca (IC), as desordens metabólicas associadas à obesidade e à progressão da doença renal crônica (DRC). Os biomarcadores inflamatórios têm se destacado como ferramentas valiosas tanto para compreender os mecanismos patológicos da aterosclerose e de doenças cárdio-renais-metabólicas, quanto para identificar possíveis alvos terapêuticos. Entre eles, a proteína C-reativa (PCR), as interleucinas (como IL-6 e IL-1β) e o fator de necrose tumoral alfa (TNF-α) são amplamente estudados. Na prática clínica, a PCR de alta sensibilidade (as) é o marcador clínico utilizado devido à sua estabilidade e facilidade de mensuração. Diversos estudos clínicos testaram a hipótese de que reduzir marcadores inflamatórios (como a PCRas, IL-6 e IL-1β) poderia reduzir desfechos cardiovasculares.Em conjunto, os estudos sugerem que apenas as terapias que produzem reduções mais expressivas da via inflamatória mediada pela IL-6 mostraram redução do risco cardiovascular. A terapia anti-inflamatória per se parece inefetiva se não for administrada a pacientes com aumento da PCRas ou da IL-6 na condição basal ou que tenham sido ineficazes para uma redução robusta desses marcadores inflamatórios. Mais recentemente, a IL-6 surge como um alvo terapêutico mais específico e novos estudos avaliam os efeitos da inibição da IL-6 na DRC, DASCV, IC, com o ziltivekimabe, um anticorpo monoclonal totalmente humano direcionado ao ligante de IL-6, cujos dados preliminares são promissores.
ESTRATIFICAÇÃO DE RISCO NA PREVENÇÃO PRIMÁRIA E SECUNDÁRIA DA DOENÇA ATEROSCLERÓTICA: PAPEL DOS NOVOS ESCORES DE RISCO
Authors:   Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brasil., Hiroshi Miname Marcio , Abdalla Added Filho Daniel ,   Instituto do Coração (InCor) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo, São Paulo, SP, Brasil., Henpin Yue Cesena Fernando ,   Instituto Dante Pazzanese de Cardiologia, São Paulo, SP, Brasil
Published: February 2025

Diretrizes médicas recomendam avaliar o risco cardiovascular usando escores para auxiliar a tomada de decisão clínica. A efetiva comunicação do risco ao paciente pode melhorar a conscientização sobre sua condição e a adesão ao tratamento. Vários escores de risco cardiovascular foram desenvolvidos nas últimas décadas para predizer o risco de um primeiro evento (prevenção primária) ou recorrência de eventos (prevenção secundária). Em geral, os algoritmos para prevenção primária são construídos com base nos fatores de risco tradicionais (sexo, idade, pressão arterial, lípides plasmáticos, diabetes mellitus e tabagismo). Os modelos da Organização Mundial da Saúde e o Globorisk-LAC foram calibrados para a região brasileira com base nas taxas de incidência de eventos e níveis de fatores de risco na população. Nos EUA, as equações PREVENT que incor-poram a função renal na predição de risco foram publicadas recentemente. Diretrizes europeias recomendam o SCORE2 (para pessoas de 40 a 69 anos) e o SCORE2-OP (para pessoas com idade ≥70 anos). A avaliação de risco cardiovascular no longo prazo é particularmente útil em indivíduos mais jovens com fatores de risco. Os escores de risco devem ser usados com cautela quando não devidamente validados ou calibrados para a população-alvo. Embora úteis na prática clínica, devem ser entendidos como um ponto de partida no processo de estratificação. Após estimar o risco usando escores, fatores agravantes de risco e a conveniência de avaliar aterosclerose subclínica devem ser avaliados, especialmente em indivíduos com risco calculado intermediário que podem ser reestratificados mais frequentemente.
Pengelola dan Daftar Isi Vol. 18 No. 02 Desember 2021
Authors: (Pharmaceutical Journal Of Indonesia) PHARMACY: Jurnal Farmasi Indonesia
Published: February 2025

Pengelola dan Daftar Isi Vol. 18 No. 02 Desember 2021
PERANCANGAN SISTEM KAS MASJID AL-HIDAYAH BERBASIS WEBSITE MENGGUNAKAN METODE PROTOTYPE
Authors: Diantoro Karno , Rizaldy Mohammad Ricky
Published: February 2025

Masjid Al-Hidayah merupakan salah satu tempat ibadah yang aktif dalam berbagai kegiatan keagamaan dan sosial. Dalam pengelolaan keuangannya, masjid ini masih menggunakan sistem manual yang kurang efisien dan rentan terhadap kesalahan. Hal ini mendorong dilakukannya perancangan sistem kas masjid berbasis website dengan metode prototype. Sistem kas masjid berbasis website yang dirancang oleh penulis menggunakan metode prototype, dan tools alat bantu UML dan menggunakan PHP beserta databasenya menggunakan Mysql. Sedangkan alat bantu pengujian sistem menggunakan sistem Black Box Testing. Sistem kas masjid berbasis website ini diharapkan dapat meningkatkan efisiensi dan efektivitas pengelolaan keuangan masjid. Sistem ini akan menyediakan fitur-fitur seperti pengelolaan pemasukan dan pengeluaran, pelacakan arus kas, penyajian laporan keuangan, dan lain sebagainya. Metode prototype dipilih dalam perancangan sistem ini karena memungkinkan untuk melakukan pengembangan sistem secara bertahap dan melibatkan pengguna dalam proses pengembangan. Hal ini diharapkan dapat menghasilkan sistem yang sesuai dengan kebutuhan dan harapan pengguna.
Factors Affecting the Quality of Information in Local Government Financial Statements of Batam City
Authors: Dwitania Putri Raja Hamizah , Hasanah Afriyanti
Published: February 2025

This research aims to test factors that can affect the quality of information in local government financial statements or LKPD of Batam City. Independent variables in this research are competencies, regulation, and politics. This research used questionnaire data from Head of Finance of Satuan Kerja Perangkat Daerah or SKPD in Batam City with a total of 44 respondents. This research used multiple linear regression analysis with SPSS application. This research found that partially, the quality of information in LKPD can be influenced by competencies and regulations but not by politics. Moreover, simultaneously, competencies, regulation, and politics affect the quality of information in LKPD by contributing 67.9% of influence on LKPD.
The Role of Investment Motivation in Financial Literacy and Women's Behavior
Authors: Marpaung Arif Pratama , Muhammad Idhamsyah , Hamdani Rizki , Hafiz Muhammad Shareza , Sani Agus
Published: February 2025

This study explores how financial literacy, financial education, and self-control affect investment motivation and financial behavior among women aged 18 and above in Medan, Indonesia. A total of 270 participants responded to a structured questionnaire, distributed three times from February to June 2024, covering five key areas: financial behavior, investment motivation, financial literacy, financial education, and self-control. Using Partial Least Squares Structural Equation Modeling (PLS-SEM) for analysis, the findings reveal that both financial literacy and education significantly enhance investment motivation and financial behavior. Higher education levels correlate with better financial literacy, resulting in more strategic investment decisions. Although many respondents allocate a significant portion of their income to monthly expenses, those with higher financial literacy manage their finances more effectively. However, the study finds no significant impact of self-control on investment motivation and financial behavior, possibly due to the respondents' younger age and lower income. This research underscores the importance of financial literacy and education in shaping financial behavior.
Perbandingan Algoritma K-Nearest Neighbor, Multi Layer Perceptron, dan Decision Tree dalam Prediksi Harga Berlian
Authors: Kamila Ahya Radiatul , Andry Johanes Fernandes , Kusuma Adi Wahyu Candra , Prasetyo Eko Wahyu , Derhass Gerry Hudera
Published: February 2025

Prediksi harga berlian dibutuhkan mengingat banyaknya peminat berlian. Hal ini sebabkan oleh nilai dan bentuk berlian yang dapat dijadikan sebagai instrumen investasi maupun perhiasan. Berlian merupakan batu permata yang memiliki harga mahal dikarenakan oleh kelangkaan dan proses mendapatkannya. Batu permata ini memiliki harga yang bervariasi bergantung dari berbagai faktor, diantaranya adalah faktor utama penentu harga berlian yang menggambarkan harga asli berlian dan faktor pendukung harga berlian, seperti biaya pemasaran, nama brand, trend pasar, dll. Hal ini yang menyebabkan perbedaan harga berlian. Namun, sebagian besar customer tidak memiliki pengetahuan mendalam akan hal tersebut yang dapat menimbulkan kerugian investasi.  Penelitian ini dilakukan agar investor dapat mengetahui harga asli berlian dengan hanya memperhitungkan nilai berlian itu sendiri tanpa memperhitungkan faktor-faktor pendukung harga berlian yang tidak dapat diperhitungkan. Dalam penelitian ini, dilakukan prediksi harga berlian menggunakan algoritma machine learning dengan masukan data berupa faktor-faktor utama penentu harga berlian. Penelitian ini membandingkan tiga model machine learning, yaitu Multi-Layer Perceptron (MLP), Decision Tree, dan K-Nearest Neighbor sebagai penentu harga berlian dengan hyperparameter tuning manual yang dilakukan oleh penulis. Perbandingan model machine learning ini ditujukan untuk mendapatkan performa yang terbaik dengan nilai error yang terkecil. Perhitungan error dalam penelitian ini menggunakan Persentase Rata-rata Kesalahan Absolut/Mean Absolute Percentage Error (MAPE), Rata-rata Kesalahan Absolut/Mean Absolute Error (MAE), dan Rata-rata Kesalahan Kuadrat/Mean Squared Error (MSE) sebagai metric performa model. Adapun hasil terbaik performa model untuk memprediksi harga berlian dihasilkan oleh algoritma K-Nearest Neighbor dengan nilai MAPE adalah 0.011.
Widespread misidentification of SEM instruments in the peer-reviewed materials science and engineering literature
Authors: Richardson Reese , Moon Jeonghyun , Hong Spencer S , Amaral Luis A. N.
Published: February 2025

Materials science and engineering (MSE) research has, for the most part, escaped the doubtsraised about the reliability of the scientific literature by recent large-scale replication studies inpsychology and cancer biology. However, users on post-publication peer review sites have re-cently identified dozens of articles where the make and model of the scanning electron micro-scope (SEM) listed in the text of the paper does not match the instrument’s metadata visible inthe images in the published article. In order to systematically investigate this potential risk to theMSE literature, we develop a semi-automated approach to scan published figures for this meta-data and check it against the SEM instrument identified in the text. Starting from an exhaustiveset of 1,067,102 articles published since 2010 in 50 journals with impact factors ranging from 2to 24, we identify 11,314 articles for which SEM make and model can be identified in an image’smetadata. For 21.2% of those articles, the image metadata does not match the SEM manufactureror model listed in the text and, for another 24.7%, at least some of the instruments used in thestudy are not reported.
“Yes, they are Important, But Being Trapped in Debt to Loan Sharks, Kills them from Within": A Narrative Analysis of the Exclusion of Women Fishmongers in Fishing Communities
Authors: Max Lucy , Nurhaeni Ismi Dwi Astuti , Utari Prahastiwi , Satyawan Ign. Agung
Published: February 2025

The ability to manage family finances, especially controlling debts, is the main issue that hampers the economy of fishing families. This article aims to construct the situation behind women fishmongers' choice to borrow money from moneylenders. It also involves exploring the role of community presence in overcoming dependence on high-interest loans. Qualitative research was conducted in Lewoleba town, involving women fishmongers, their husbands, and capital owners. Data was collected through in-depth interviews, observation, and utilization of local online media news. In the narrative analysis, this study found that the orientation of maintaining the trust of capital owners, as well as a lack of understanding of managing family finances, are the main reasons why women fishmongers make repeated loans to moneylenders. As a result, they remain economically disadvantaged. On the other hand, the community lost its role in creating a collective sense of care, which became the beginning of rampant illegal loans. This happens as the orientation of social interaction changes, where the community's role to create a common concern - the welfare of members - turns into an impersonal relationship that distances itself from each other - by making the act of borrowing money from a moneylender an individual right and family privacy. Empowerment program planners can begin considering
Transformational Leadership in Academic and Research Institutions: A Multidimensional Framework
Authors: Tekinerdogan Bedir
Published: February 2025

Leadership plays a fundamental role in fostering innovation, resilience, and long-term institutional success in academic and research environments. However, leadership is often examined from a narrow perspective, with a predominant focus on theoretical models rather than insights derived from real-world practice. This study addresses this gap by presenting a multidimensional leadership framework that integrates multiple dimensions of leadership into a holistic approach. The framework is structured around matrix representations, explicitly mapping the relationships between key leadership dimensions to provide a comprehensive understanding of their interdependencies. To demonstrate the practical application of this framework, we incorporate a real-life case study based on a decade of leadership at Wageningen University & Research (WUR). By synthesizing theoretical leadership models with empirical insights, this study provides actionable strategies for leaders in academia, research institutions, and policy-making bodies. The findings contribute to the broader discourse on effective leadership in knowledge-intensive organizations, offering a structured methodology for fostering innovation, inclusivity, and sustainable impact.