bluuebunny/crossref_metadata_2025 huggingface dataset:
Framework for digital tools integration in U.S. retail and manufacturing project management
Authors: Jumai Ahmadu  , Akorede Shittu  , Oluwakemi Famoti  , David Akokodaripon  , Ogechukwu Nwanneka Ezechi  , Chikezie Paul-Mikki Ewim  , Hope Ehiaghe Omokhoa  , Godwin Nzeako
Published: February 2025

In the evolving U.S. retail and manufacturing sectors, integrating digital tools into project management enhances efficiency, collaboration, and customer experiences. This framework provides a structured approach built on four key components: assessment, tool selection, change management, and continuous improvement. Organizations begin by evaluating current project management processes to identify gaps and digital enhancement opportunities. Selecting the right tools—such as project management software, collaboration platforms, and data analytics—ensures alignment with organizational goals. A phased implementation approach minimizes disruption and maximizes adoption. Effective change management, including stakeholder engagement and training, fosters a culture of digital transformation. Continuous evaluation establishes performance metrics, enabling adjustments to optimize tool effectiveness. By systematically assessing, selecting, and integrating digital tools while managing change and maintaining adaptability, organizations enhance project management capabilities. This framework drives innovation, streamlines processes, and strengthens customer focus, positioning businesses for success in a competitive landscape.
Keywords: Framework, Digital Tools, Integration, Retail, Manufacturing, Project Management.
TÉCNICAS DE ENTREVISTA POLICIAL PARA PROCEDIMENTOS ADMINISTRATIVOS DA PMPR
Authors: Aparecido Anderson Luís
Published: February 2025

O presente artigo examina a necessidade de modernização das práticas de entrevista policial empregadas nos procedimentos administrativos realizados pela Polícia Militar do Paraná. Em um cenário onde a eficiência e a transparência são valores cada vez mais prezados, o cumprimento das entrevistas e a precisão das informações obtidas nestas, assumem papel central para um bom funcionamento das atribuições da corporação. Em oposição aos procedimentos tradicionais, muitas vezes limitados e restritos apenas à obtenção de confissões, sem uma conduta eficaz, o artigo propõe uma abordagem baseada em evidências, em especial a Entrevista Cognitiva e o protocolo PEACE. Em consonância, a nova prática é capaz de aprimorar tanto a qualidade quanto o volume dos dados obtidos. O artigo tem por objetivo relatar a importância de um planejamento cuidadoso da entrevista, o respeito com o entrevistado e técnicas de escuta ativa e investigação de maneira a estimular a memória e organização dos fatos, o artigo também detalha a necessidade de uma postura colaborativa do policial militar, buscando relatos objetivos e isentos, sempre mantendo os valores éticos que regem a Polícia Militar.
ANÁLISE E ABORDAGEM CLÍNICA DA ICTERÍCIA NEONATAL: UMA REVISÃO DA LITERATURA
Authors: Quaresma Júlia Mourão , Eugênio Isabela Oliveira , Souza Daniela Batista , Vieira Amanda Loreta
Published: February 2025

Introdução: A icterícia neonatal é uma condição comum em bebês recém-nascidos, caracterizada pela coloração amarelada da pele e das mucosas devido ao acúmulo excessivo de bilirrubina no organismo. Casos graves de hiperbilirrubinemia podem resultar em complicações sérias, como encefalopatia bilirrubínica e kernicterus. Por isso, a detecção precoce e o manejo adequado da condição são cruciais para evitar complicações de longo prazo, sendo uma prioridade nos cuidados neonatais. Objetivo: Este artigo tem como objetivo realizar uma revisão aprofundada sobre o diagnóstico e as melhores práticas clínicas para o manejo da icterícia neonatal. Métodos: Esta revisão foi realizada com base em uma pesquisa sistemática na literatura científica publicada entre 2014 e 2025. As fontes consultadas incluíram as bases de dados PubMed, Google Scholar, Web of Science e Scopus. Critérios de inclusão selecionaram estudos que abordassem o manejo clínico, diagnóstico e fatores de risco da icterícia neonatal. Ao final, 12 estudos foram incluídos para análise detalhada. Resultados e Discussão: A fototerapia continua sendo o tratamento principal, com avanços como dispositivos portáteis que ampliam o acesso ao cuidado. Nos casos mais graves, a exsanguinotransfusão é necessária. A revisão também sublinha a importância da orientação parental e da capacitação constante dos profissionais de saúde para assegurar um diagnóstico rápido e um manejo eficaz da icterícia, especialmente em áreas com recursos escassos. Conclusão: Um manejo clínico adequado da icterícia neonatal é essencial para prevenir complicações graves. A implementação de inovações tecnológicas e programas educativos para pais e profissionais de saúde é vital para aprimorar os resultados neonatais. Além disso, investir em pesquisas e políticas públicas que garantam o acesso a tratamentos eficazes pode reduzir as taxas de morbidade e mortalidade associadas à icterícia neonatal.
Evaluating F10.7 and F30 radio fluxes as long-term solar proxies of energy deposition in the thermosphere
Authors: Qian Liying , Mursula Kalevi
Published: February 2025

Abstract. We use model simulations and observations to examine how well the F10.7 and F30 solar radio fluxes have represented solar forcing in the thermosphere during the last 60 years of weakening solar activity. We found that increased saturation of radio fluxes during the last two extended solar minima leads to an overestimation of solar energy deposition, which manifests as a change in the linear relation between thermospheric parameters and F10.7. On the other hand, the linear relation between thermospheric parameters and F30 remains nearly the same throughout the whole studied period because of a recently found relative increase of F30 with respect to F10.7. This explains the earlier finding that F30 correlates better with several ionospheric and thermospheric parameters than F10.7 during recent decades. We note that continued evaluation is needed to see how well F10.7 and F30 will serve as solar proxies in the future when solar activity may start increasing toward the next grand maximum.
Quantifying spatiotemporal and elevational precipitation gauge network uncertainty in the Canadian Rockies
Authors: Bertoncini André , Pomeroy John W.
Published: February 2025

Abstract. Uncertainty in estimating precipitation in mountain headwaters can be transmitted to estimates of river discharge far downstream. Quantifying and reducing this uncertainty is needed to better constrain the uncertainty of hydrological predictions in rivers with mountain headwaters. Spatial estimation of precipitation fields can be accomplished through interpolation of snowfall and rainfall observations. These are often sparse in mountains, and so gauge density greatly affects precipitation uncertainty. Elevational lapse rates also influence uncertainty as they can vary widely between events, and observations are rarely made at multiple proximal elevations. Therefore, the spatial, temporal, and elevational domains need to be considered to quantify precipitation gauge network uncertainty. This study aims to quantify the spatiotemporal and elevational uncertainty of the spatial precipitation interpolated from gauged networks in the snowfall-dominated, triple continental divide Canadian Rockies headwaters of the Mackenzie, Nelson, Columbia, Fraser, and Mississippi rivers of British Columbia and Alberta in Canada and Montana in the USA. A 30-year (1991–2020) daily precipitation database was created in the region and utilized to generate spatial precipitation and uncertainty fields with kriging interpolation and lapse rates. The results indicate that gauge network coverage improved after the drought of 2001–2002, but it was still insufficient to decrease the domain-scale uncertainty, because most gauges were deployed in valley bottoms. Deploying gauges above 2000 m was identified as having the greatest cost benefits for decreasing uncertainty in the region. High-elevation gauge deployments associated with university research and other programs after 2005 had a widespread impact on the reduction of uncertainty. The greatest uncertainty in the recent period remains in the Nelson headwaters, whilst the lowest uncertainty is in the Mississippi headwaters. These findings show that both spatiotemporal and elevational components of precipitation uncertainty need to be quantified in order to estimate uncertainty for use in precipitation network design in mountain headwaters. Understanding and then reducing these uncertainties through additional precipitation gauges is crucial for more reliable prediction of river discharge.
Design, modeling and manufacture error identification of a new 6-degree-of-freedom (6-DOF) compliant parallel manipulator
Authors: Li Haiyang , Chen Weiwei , Yi Longteng , Leng Chuyang , Wu Haibo
Published: February 2025

Abstract. This paper introduces a new 6-degree-of-freedom (6-DOF) compliant parallel manipulator featuring a 6-prismatic, spherical, spherical (6-PSS) configuration, leaf spring compliant joints and manufacture error identification techniques, which collectively enhance motion accuracy, motion range and dynamic performance. The 6-PSS configuration allows actuators to be mounted on the base frame rather than on the moving parts of the manipulator, thereby improving their dynamic performance. The use of leaf spring compliant joints offers superior accuracy over traditional rigid joints due to the absence of backlash and provides a relatively large motion range compared to typical compliant joints with lumped compliance. The kinetostatic models of these compliant joints have been derived and closely align with the finite-element model, exhibiting an average difference of approximately 5.5 %. Additionally, a kinematic model of the whole manipulator has been formulated and, based on it, a manufacture error identification model has been established to identify the manufacture errors, which is crucial for improving the motion accuracy. The Levenberg–Marquardt optimization algorithm is utilized to solve the identification model, with the results verified through finite-element analysis. The proposed 6-DOF compliant parallel manipulator shows great promise for applications in precision engineering, such as optical guidance and chip packaging.
ԱՂՎԱՆԱԳԻՏԱԿԱՆ ԿԵՂԾԻՔՆԵՐԸ ԵՎ ՀԱՅԱԳԻՏՈՒԹՅԱՆ ԱՐՁԱԳԱՆՔՆԵՐԸ / AGHVAN STUDIES FORGERIES AND REACTIONS OF ARMENOLOGY
Authors: Yeghiazaryan Vano
Published: February 2025

A history of several centuries has passed in Armenian philology, referring also to the historians of the Eastern Side of the Armenia, completely ignoring this fact and the testimonies related to specific authors in the middle of the 20th century, Azerbaijanian aghvanology was circulating a pseudo-scientific theory, according to which Aghvans were their ancestors and a number of famous figures of Armenian culture were called Aghvan. Armenology has failed in this matter and hasn’t yet given a worthy answer. In the 29th century Armenology refuted that theory, showing the arbitrary approaches of Zia Buniatov, but his student Farida Mamedova continued to deepen the falsehood, calling even a number of cultural figures of the period of the Cilician Armenian Kingdom Aghvans.
«ՍԱՍՆԱ ԾՌԵՐ» ԷՊՈՍԻ ՀԱՄԱՀԱՎԱՔ ԲՆԱԳՐԵՐԸ. ՍՏԵՂԾՄԱՆ ՍԿԶԲՈՒՆՔՆԵՐ ԵՎ ՆՊԱՏԱԿՆԵՐ / THE COMPILED TEXTS OF THE EPIC “DAREDEVILS OF SASSOUN” (“SASNA TSRER”): PRINCIPLES AND OBJECTIVES OF THEIR CREATION"
Authors: Hambardzumyan Hayk
Published: February 2025

The Armenian epic “Daredevils of Sassoun” (“Sasna Tsrer”, “David of Sassoun”) epic, like many other oral epics, is better known and more widely disseminated not through its oral variations, but through what are known as “compiled texts”. The Armenian national epic has three such compiled versions, with a fourth currently in the process of being assembled.
ՀԱՅ ԲԱՆԱԳԻՏՈՒԹՅԱՆ ԱՎԱՆԴԱԿԱՆ ՄՈՏԵՑՈՒՄՆԵՐ ԵՎ ԱՐԴԻ ՄԱՐՏԱՀՐԱՎԵՐՆԵՐ. ՀԱՄԱՑԱՆՑԱՅԻՆ ԲԱՆԱՀՅՈՒՍՈՒԹՅԱՆ ՈՒՍՈՒՄՆԱՍԻՐՄԱՆ ԱՆՀՐԱԺԵՇՏՈՒԹՅԱՆ ՇՈՒՐՋ / TRADITIONAL APPROACHES AND MODERN CHALLENGES IN ARMENIAN FOLKLORISTICS: THE NEED FOR STUDYING INTERNET FOLKLORE
Authors: VARDANYAN NVARD
Published: February 2025

The article examines the traditional approaches and modern challenges of Armenian folcloristics. Since its inception, Armenian philology has developed in two main directions: folklore collection, recording and publication of folklore material, and research. The research, in turn, is based on samples preserved from previous centuries, which in the case of Armenian folklore constitute quite a rich heritage, at the same time, it is carried out by acquiring new records in each new period.
Approximation of fixed points for a pair of certain non expansive type mappings with applications
Authors: Khan Safeer Hussain , Ahmad Khushdil , Abbas Mujahid
Published: February 2025

We consider an iterative scheme to approximate common fixed points of a pair of single and multi-valued mappings satisfying the socalled condition (Cα) in Banach spaces. We also compare its rate of convergence with some existing iterative schemes. We show that our iterative schemeconverges faster than these schemes. It has been confirmed numerically and depicted graphically. We prove the convergence results for our proposed scheme. We also provide an application of our iterative scheme to solve the Split Common Fixed Point (SCFP) Problem.
New Exact Solutions of a Second Grade MHD Flow Through Porous Media Using Travelling Wave Method
Authors: Kumar Manoj , Singh Santosh Kumar
Published: February 2025

MHD flow equations are non-linear partial differential equations. In this essay,we have considered the flow of an incompressible fluid through a porous medium and have employed a strategy based on the traveling wave solution. By utilizing wave parameters, the non-linear equations are transformed into ordinary differential equations. In this approach, all the fluid parameters, initially functions of (x, y, t), are now represented by a single variable ‘z’ through the transformation z = bx + ay + ct. Finally, expressions for the pressure function, magnetic field, vorticity, velocity components, and other parameters are derived for two different cases, and comparisons are drawn with previously known results.
On Solving the Kudryashov-Sinelshchikov Equation for Pressure Waves in Gas-Liquid Mixtures
Authors: Ak Turgut , Dhawan Sharanjeet
Published: February 2025

In this work, our focus is on obtaining approximate analytic solutions for the Kudryashov-Sinelshchikov equation using the reduced differential transform method. This equation describes nonlinear waves in gas-liquid mixtures, with a specific emphasis on the impact of heat transfer and viscosity. The results present a theoretical basis of the numerical scheme and manifest its efficiency with different types of numerical examples, from solitary wave solutions to the soliton wave solutions as well as to the rational soliton solutions. This proposed scheme is backed by the calculated absolute error norms and illustrated results and is proven to be efficient in solving both linear and nonlinear problems of similar natures.
Stratified Hydromagnetic Gas-Liquid Flow in a Wavy Channel
Authors: Fatima Ghulam , Afsar Khan Ambreen
Published: February 2025

This research theoretically explores the behavior of a twophase flow within a channel, particularly focusing on the interaction between stratified gas and liquid flow when a magnetic field is present. The study excludes consideration of mixing between the phases. The governing equations for this two-phase flow system contain momentum equation, continuity equation for both phases (accounting for compressibility effects in the gas phase), and magnetic effects. Peristaltic motion is simulated using appropriate boundary conditions reflecting the rhythmic contractions and expansions of the channel walls, influencing the flow dynamics of the two phases. To analyze how key parameters such as flow rates, channel geometry, and magnetic field strength affect flow characteristics, a perturbation approach is employed. The study examines the formation of wave patterns and variations in flow velocities resulting from the complex interactions between phases and the magnetic field, presenting graphical data to illustrate these phenomena. The Reynolds number and magnetic parameter are observed to slow down the flow rate as well as velocity of both regions. The compressibility parameter and Knudsen number decreases the velocity of fluid flow in both regions. By increasing the viscosity ratio, the velocity of the fluid slowdowns. The findings will contribute to understand the complex interplay between peristaltic motion and hydromagnetic forces in two-phase flows, with potential implications for diverse f ields such as industrial processes and biomedical engineering.
HEMATOLOGICAL INDICATORS OF BROILER CHICKENS WHEN USING A SOYBEAN FEED ADDITIVE CONCENTRATED NOT HYDROLYZED
Authors:   Moscow State Academy of Veterinary Medicine and Biotechnology – MVA named after K.I. Scryabin, Kochish I.I. , Kapitonova E.A. ,   Moscow State Academy of Veterinary Medicine and Biotechnology – MVA named after K.I. Scryabin, Myasnikova O.V. ,   Moscow State Academy of Veterinary Medicine and Biotechnology – MVA named after K.I. Scryabin
Published: February 2025

The article presents the results of research studying the effect of the Protefid additive, at the rate of 5-15% in starter and growth diets, on the hematological parameters of broiler chickens. It was found that in birds of the 3rd experimental group the content of total protein was higher than in the 1st control and 2nd experimental groups – by 5.19% and 4.33%, respectively, and in broilers of the 4th experimental group – by 16.7% and 15.75%, respectively. The uric acid level in the 3rd experimental group was higher – by 7.1% than in the 1st and 2nd groups, and in the 4th experimental group – by 8.4%, respectively. The triglyceride level in all groups was virtually the same. The AST activity in chickens of the 1st control group exceeded the enzyme activity according to the reference values and was higher than the results of the 2nd and 3rd experimental groups – by 41.7% and 43.8%, respectively, and the indicators of the 4th group – almost 2 times. In chickens of the 3rd experimental group (10% soybean concentrate in the starter and growth diets) and the 4th experimental group (10% soybean concentrate in the starter and 5% in the growth diets. In chickens fed with the Protefid compound feed, a high protein intensity of the liver function was marked, as well as an increased glucose and total cholesterol level, a high aspartate aminotransferase activity, that indicates a lower load on the liver tissue.
EFFECT OF THE DRUG FERONAMIN ON THE EXPRESSION LEVEL OF PRO- AND ANTI-INFLAMMATORY CYTOKINE GENES ON THE BACKGROUND OF VACCINATION AGAINST PCV2
Authors:   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Strebkova V.V. , Mikhaylov E.V. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Vostroilova G.A. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Parshin P.A. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Pasko N.V. ,   FSBSI All-Russian Veterinary Research Institute of Pathology, Pharmacology and Therapy, Syromyatnikov M.Yu. ,   Voronezh State University
Published: February 2025

The study presents the data on the effect of using the drug Feronamin based on specific recombinant porcine interferons on the relative level of gene expression during vaccination against porcine circovirus infection (PCV2). The research was conducted on piglets at the age of 21 days at the weaning stage. During weaning, piglets experience stress due to regrouping and become most susceptible to porcine circovirus infection. The administration of the vaccine Ingelvac CircoFLEX led to an increase in the expression of genes of proinflammatory cytokines IL-1α by 4.5 times and IL-1β – by 3.5 times, while the use of the drug Feronamin reduced the negative effect of the vaccine on the organism, increasing the expression of IL-1β genes by 2.4 times.
Clinical Repercussions of Guillain-Barré Syndrome: A Case Study and Systematic Review
Authors: Souza Lígia Maria Oliveira de , Vigilato Paloma Marcela , Bellizzi Alessandra Savi , Jayder Braga Alencar Dalle , Costa Gustavo Mendes Rezende , Gomez Andrea Paola Britos , Souza Bárbara Priscila Alves de , Segovia José Andrés Alfonzo
Published: February 2025

Guillain-Barré Syndrome (GBS) is part of a heterogeneous group of immune-mediated polyneuropathies characterized by segmental demyelination accompanied by mononuclear infiltrates in the endoneural tissue and myelin sheaths. It is a rare neurological disorder that primarily affects adults. Its origin is often post-infectious, triggered by an autoimmune response against the peripheral nervous system, which leads to the classic triad: paresthesia, progressive and ascending muscle weakness with areflexia, and, in severe cases, paralysis. Its onset is related to previous infections, often caused by Campylobacter jejuni, cytomegalovirus, or the Epstein-Barr virus. The diagnosis is generally straightforward and is determined through a complete medical history, a neurological examination focusing on identifying the triad, and complementary tests such as electromyography and cerebrospinal fluid analysis. Within days, the cerebrospinal fluid often shows elevated protein levels, while the cellular content remains largely unchanged, resulting in albuminocytologic dissociation. Treatment includes respiratory support in severe cases, intravenous immunoglobulin, or plasmapheresis. Recovery depends on several factors and may take weeks or even months. This study presents the case of a 46-year-old man who developed GBS following a prior infection. The case highlights the diagnostic challenges, clinical progression, and the implementation of treatment.
Its onset is related to previous infections, often caused by Campylobacter jejuni, cytomegalovirus, or the Epstein-Barr virus. The diagnosis is generally straightforward and is determined through a complete medical history, a neurological examination focusing on identifying the triad, and complementary tests such as electromyography and cerebrospinal fluid analysis. Within days, the cerebrospinal fluid often shows elevated protein levels, while the cellular content remains largely unchanged, resulting in albuminocytologic dissociation. Treatment includes respiratory support in severe cases, intravenous immunoglobulin, or plasmapheresis. Recovery depends on several factors and may take weeks or even months.
This study presents the case of a 46-year-old man who developed GBS following a prior infection. The case highlights the diagnostic challenges, clinical progression, and the implementation of treatment.
Endometrium Kanseri Hastalarında 3D Ultrasonografi VOCAL Teknikle Myometriyal İnvazyon Derinliği ve Evre Prediksiyonu: Prospektif Çalışma
Authors: Işık Gizem , Mutlu Sütcüoğlu Bengü , Soykan Yağmur , Kazancı Ferah , Erdem Özlem , Onan M.anıl
Published: February 2025

Amaç: Bu çalışmada, endometrioid tip endometrium kanserli vakaların üç boyutlu – transvajinal ultrasonografi ile preoperatif endometrial volüm ölçümlerinin hem intraoperatif frozen sonuçları hem de nihai patoloji sonuçları ile karşılaştırılması hedeflenmiştir.
Gereç ve Yöntem: ÇEndometrial biyopsi sonuçları endometrioid tip gelen, operasyon için hospitalize edilen tüm endometrium kanseri hastalarına operasyondan hemen önce GE Voluson E6 ultrasonografi cihazı ile üç boyutlu transvajinal probu kullanılarak ultrasonografi yapıldı. Endometrial volüm ölçümü, uterin total volüm ölçümü VOCAL yöntemi kullanılarak; endometrium kalınlığı ve hastalıksız myometrium volümleri çizim yapılarak cm3 olarak hesaplandı. Volüm ölçümleri, frozen ve nihai patoloji sonuçları prospektif olarak kaydedildi.
Bulgular: Çalışmaya toplam 50 hasta dâhil edildi. Myometerium invazyonunun %50’den az ya da çok olması ile, üç boyutlu – transvajinal ultrasonografi ile yapılan endometrium, myometrium ve uterus volüm ölçümleri arasında istatistiksel anlamlı fark saptanmamıştır (sırasıyla p=0,3, p=0,3, p=0,6). Endometrium volümünün uterus volümüne oranı değerlendirildiğinde yine myometrial invazyon %50 altında ve üzerinde olan gruplarda istatistiksel anlamlı fark saptanmamıştır (p=0,21).
Sonuç: Üç boyutlu – transvajinal ultrasonografi uterusun üç boyutlu volüm ölçümüne olanak sağladığından, myometrial infiltrasyon prediksiyonunda umut vaadedici olsa da, alışmamızın sonucu da göstermiştir ki halen araştırılması gereken bir tekniktir. Endometrial kanser invazyonu açısından kullanılabilirliğini ölçebilmek adına daha çok çalışmaya ihtiyaç vardır.
Ferritin and Cardiac Electrophysiology in End-Stage Renal Disease: Evaluating the Impact of Index of Cardio-Electrophysiological Balance
Authors: Çoksevim Metin , Kertmen Ömer , Yıldırım Ufuk , Türkmen Ercan
Published: February 2025

Objective: Ferritin is a critical protein involved in iron storage and functions as an acute-phase reactant, playing a significant role in chronic inflammation and the pathogenesis of cardiovascular diseases. Elevated ferritin levels in end-stage renal disease patients undergoing hemodialysis may influence cardiac electrophysiological parameters, such as the corrected index of cardio-electrophysiological balance, a marker of proarrhythmic risk. This study aimed to investigate the association between ferritin levels and the corrected index of cardio-electrophysiological balance in patients with end-stage renal disease undergoing hemodialysis.
Material and Method: This retrospective cross-sectional study included 438 patients with end-stage renal disease undergoing hemodialysis, categorized into two groups according to their ferritin levels: Group 1 (≥1000 ng/mL, n=254) and Group 2 (≤200 ng/mL, n=184). Demographic, biochemical, and electrocardiographic data, including corrected index of cardio-electrophysiological balance, were analyzed. The correlation between ferritin levels and the corrected index of cardio-electrophysiological balance was assessed.
Results: The index of cardio-electrophysiological balance was significantly higher in Group 1 compared to Group 2 (5.1 vs. 4.9, p=0.003). A moderate positive correlation between ferritin levels and the index of cardio-electrophysiological balance was identified (r=0.326, p
AGRICULTURA URBANA COMO FERRAMENTA NA PROMOÇÃO DA EDUCAÇÃO AMBIENTAL E NA EDUCAÇÃO EM SAÚDE (RELATO DE EXPERIÊNCIA)
Authors: Rafaela Oliveira Araújo
Published: February 2025

O presente relato descreve a implementação de um projeto de intervenção nas Escolas Públicas de Cabedelo, PB, focado no uso da agricultura urbana como uma ferramenta pedagógica para promoção da educação ambiental e alimentar. A proposta envolveu o plantio de hortaliças pelos alunos em suas residências, além de atividades interdisciplinares em parceria com outros docentes. O projeto buscou estimular o protagonismo estudantil, fomentar hábitos alimentares saudáveis e desenvolver a consciência crítica sobre a preservação do meio ambiente e o uso de agrotóxicos. Os resultados evidenciam o fortalecimento do senso de responsabilidade dos alunos e a integração de suas famílias no processo de aprendizagem.
Combined Chronotherapy for Poor Sleep Following Acute Coronary Syndrome: A Pilot Randomized Trial
Authors: Mendieta Miguel , Cumella Robin , Fray Nakesha , Lopez-Veneros David , Hiti David , Franqui Christina , D’Agostino Consuelo , Kronish Ian M. , Shechter Ari
Published: February 2025

Sleep disturbance is common following acute coronary syndrome (ACS) and may contribute to a worse prognosis. We describe the rationale, design, and findings of a pilot and feasibility randomized clinical trial (RCT) of an intervention to improve post-ACS sleep. Fifteen post-ACS patients with insomnia and/or short sleep were randomized (2:1 allocation) to combined chronotherapy (CC) plus sleep hygiene education (SHE) or SHE control. CC was bright light therapy (BLT) delivered by a wearable light visor for 30 minutes after awakening and short-wavelength light avoidance using blue-light blocking (BLB) glasses in the evening from 8:00pm to bedtime daily for 4 weeks. Primary outcomes were feasibility, acceptability, appropriateness, usability, and adherence. Secondary outcomes were insomnia symptoms, sleep quality, and sleep duration. Two patients in the CC intervention group dropped before initiating study procedures. Completion of study procedures in remaining patients was high in the CC and control groups (88% and 100%, respectively). Self-reported adherence to CC (i.e., using BLT and BLB on ≥50% of days) was high (88% and 100%, respectively). The proportion of CC patients who perceived the intervention as feasible (71%) and usable (100%) was high, though fewer CC patients rated the intervention as acceptable (57%) and appropriate to improve sleep (29%). Improvements in insomnia symptoms and self-reported sleep quality and duration were seen in response to the CC intervention (71%). Post-ACS patients with sleep disturbance had high adherence to this chronotherapeutic intervention, and most viewed it as feasible and usable. This intervention should be tested in a larger RCT to determine efficacy to improve sleep.
Trial Registration: ClinicalTrials.gov number NCT05299723
Date of registration: March 29, 2022
URL of trial registry record: https://classic.clinicaltrials.gov/ct2/show/NCT05299723
Intelligent Financial Governance: The Role of AI and Machine Learning in Enhancing Fiscal Impact Analysis and Budget Forecasting for Government Entities
Authors: Pamisetty Vamsee
Published: February 2025

Intelligent Financial Governance (IFG) aims at understanding the complex systems underlying accounting, budgeting, and financial data in government entities with the support of computational tools. The goal is to assess how to support decision-makers in managing uncertainties related to financial systems. As financial governance is much a forecast-based question, AI and Machine Learning (ML) technology can be used to build predictive models, which are assessed with respect to different historical and real-time variables. A variety of methodologies are developed and discussed in relation to the reflexive loop needed to appraise the impacts on the insights obtained. Case studies refer to the use of these methodologies in two government entities in Northern Italy, which are commented on to identify implications and potential directions. The essay’s conclusion reflects on the potential role of AI tools in enhancing financial governance in government entities to inform decisions, budget policies, and assessments relating to the complexity of accounting and financial systems. The role of AI is typically not recurring here, either as black-box models or as wide prediction-based systems, which are often difficult to train as there is no universal forecasting pattern in financial systems and variables change at fine timescales.
IDENTIFICAÇÃO DE POTENCIAIS AGENTES TERAPÊUTICOS ESPECÍFICOS CONTRA TUMORES POR ANÁLISES DE DOCAGEM MOLECULAR: UMA REVISÃO
Authors: Borges Veridiana Guenifer , GABRIEL Jane Eyre
Published: February 2025

O desenvolvimento de um novo medicamento é lento e dispendioso, e mesmo assim, a taxa de sucesso dos ensaios clínicos é normalmente muito baixa. Por meio da técnica de docagem molecular, milhares de estruturas moleculares, com efeitos positivos sobre inúmeras patologias, vêm sendo avaliadas, de forma eficiente. Assim, o presente estudo objetivou a realização de um levantamento bibliográfico de artigos científicos preferencialmente em idioma inglês, publicados em julho de 2023, que tratavam especificamente da temática proposta, utilizando informações contidas no banco de dados Pubmed/MEDLINE. Apenas 2 (dois) dos 51 artigos revisados atenderam a todos os critérios de inclusão estabelecidos, os quais confirmaram a eficácia da técnica de docagem molecular na predição de interações moleculares com potencial emprego em terapias antitumorais, confirmada posteriormente pela validação experimental in vitro ou in vivo. Apesar das limitações de várias metodologias de docagem molecular, tal ferramenta continua sendo extremamente aplicável nos estudos visando a descoberta de novos princípios bioativos a serem empregados como potenciais fármacos contra inúmeras patologias.
ANÁLISE NUTRICIONAL E QUÍMICA DE SNACK FUNCIONAL DE LINHAÇA MARROM (Linum usitatissimum L., LINACEAE) PARA PACIENTES DIABÉTICOS
Authors: Diniz Paulo Sergio
Published: February 2025

O consumo diário de linhaça apresenta amplos benefícios na saúde e bem-estar das pessoas, principalmente para pacientes diabéticos no controle da glicemia. Visto que este alimento possui alto teor de fibras, ácidos graxos ômega-3 e compostos antioxidantes. Com isso, a partir deste trabalho, foi proposto um snack funcional de linhaça marrom (Linum usitatissimum L., Linaceae) direcionado especificamente para pacientes diabéticos. E, compreender a composição nutricional e química deste alimento é crucial para garantir sua eficácia na dieta desses pacientes. Neste contexto, foram realizadas análises para determinar a umidade, proteínas, lipídios, fibras, minerais e carboidratos presentes no snack funcional. Por fim, constatou-se que o snack de linhaça apresenta uma baixa quantidade de carboidratos e uma alta quantidade de fibras, que contribuem no controle e redução da glicemia. Além disso, apresentou um preço de custo menor, em relação à correlatos vendidos popularmente, como as barras de cereais. Portanto, é um alimento acessível economicamente e com potencial para auxiliar, positivamente, o prognóstico de pacientes portadores do diabetes mellitus.
Socioeconomic context, individual characteristics, and multimorbidity among older adults: a nationwide cross-sectional study
Authors: Rodrigues João Vitor , Farías-Antúnez Simone , Corseuil Claúdia Weber , Giehl Maruí Weber Corseuil
Published: February 2025

Objectives: The study investigated the prevalence of multimorbidity among older adults and its association with socioeconomic context and individual characteristics. Methods: This cross-sectional study was based on data from the 2019 National Health Survey. Multimorbidity was assessed using a list of 14 physical and mental morbidities, with the cut-off considered ≥ 2 simultaneous conditions. The Municipal Human Development Index represented the contextual factors. The association between multimorbidity, individual characteristics, and socioeconomic context was assessed through multilevel logistic regression with random intercepts.
Results: The overall prevalence of multimorbidity was 58.12% (95% CI 57.00–59.23). Individual factors associated with multimorbidity were: female sex, older age, divorced/single marital status, lower education level, physical inactivity, and non-smoking status. The likelihood of multimorbidity was 24% higher among residents of more developed areas (95% CI 1.07–1.44).
Conclusion: According to our results, over half of older Brazilians have multimorbidity. One noteworthy finding of this study is the association between multimorbidity and socioeconomic context, i.e., residents of states with a higher Municipal Human Development Index had higher odds of multimorbidity.
Evaluating productivity and accountability in IoT-enabled robotic systems with citizenship-like responsibilities
Authors: Kanade Tarun Madan , Y Hemantha , Pulekar Deepali , Savale Tushar K , Kamble Sandeep M
Published: February 2025

This study explores the integration of "citizenship-like responsibilities" into Internet of Things (IoT)-enabled robotic systems to enhance productivity and accountability. It evaluates the potential of treating advanced robotic systems as entities with defined tasks, contributing to a novel paradigm in industrial ecosystems. A mixed-method approach was employed, utilizing case studies from the industrial and logistics sectors to assess robotic productivity and accountability. Key metrics, including job completion, error reduction, energy utilization, decision traceability, and adaptability, were analyzed. Surveys and interviews with industry experts, ethicists, and robotic engineers further informed the study. The findings reveal that IoT-enabled robots excel in consistency, scalability, and energy efficiency compared to their human counterparts. However, increased autonomy does not always correlate with improved performance, indicating the need for refined algorithms and operational protocols. Accountability mechanisms, while essential for transparency, currently show limited impact on task efficiency and decision-making. Granting robots citizenship-like responsibilities raises significant ethical, legal, and societal considerations. While this approach fosters accountability and integration into human-centered systems, it also challenges traditional frameworks of responsibility and agency. A balanced, multidisciplinary effort is required to ethically and effectively implement such systems. This research informs policymakers, industry leaders, and developers about the implications of introducing advanced autonomous systems into industrial operations. The findings emphasize the importance of integrating ethical considerations and accountability frameworks into the design and deployment of IoT-enabled robotic systems, ensuring sustainable and responsible innovation.
Platelet rich plasma versus corticosteroids for lateral epicondylitis: a meta-analysis of randomized clinical trials
Authors: Maroun Ralph , Daher Mohammad , Boufadel Peter , Lopez Ryan , Khan Adam Z , Abboud Joseph A.
Published: February 2025

Background: Lateral epicondylitis, colloquially known as tennis elbow, is a common cause of elbow pain and daily task disability. Caused by repetitive movement, it is typically a degenerative rather than inflammatory event and affects mostly middle-aged patients. Despite its good prognostic nature, its economic burden on the healthcare system encourages research on the efficacity of non-operative injection treatments. This article aims to compare the clinical effectiveness of platelet-rich plasma (PRP) and corticosteroid (CS) injections in managing lateral epicondylitis.Methods: PubMed, Cochrane, and Google Scholar (pages 1–20) were searched up to March 2024. Only randomized controlled trials were included. The clinical outcomes evaluated were the visual analog scale (VAS) and Disabilities of the Arm, Shoulder, and Hand (DASH) score.Results: Twenty-six randomized controlled trials with 1.877 patients were included in this meta-analysis. In terms of VAS scores, short-term results (<2 months) favored CS over PRP (P=0.03; mean difference [MD], 0.67; 95% CI, 0.05–1.28), whereas long-term results (>6 months) favored PRP (P<0.001; MD, –1.60; 95% CI, –2.01 to –1.20]). Intermediate-term results (2–6 months) showed no significant difference between injection treatments. In terms of DASH scores, short- and intermediate-term results showed no significant difference, whereas long-term results favored PRP (P<0.001; MD, –4.87; 95% CI, –7.69 to –2.06).Conclusions: CS provides significantly better short-term pain relief, while PRP provides better long-term functional improvement and clinical long-term pain relief. However, future studies should focus on other injection protocols or addition of other non-invasive modalities.Level of evidence: I.
PENGARUH KUALITAS PELAYANAN AGEN JNE TERHADAP KEPUASAN PELANGGAN
Authors: Didik Priyadi  , Hamluddin  , Zulkarnain Alfisyahrin
Published: February 2025

Penelitian ini bertujuan untuk mengetahui tentang pengaruh kualitas pelayanan Agen JNE Graha timur terhadap kepuasan pelanggan bertujuan untuk mengetahui apakah variabel X mempengaruhi variabel Y. hasil dari penelitian ini adanya pengaruh antara kualitas pelayanan Agen JNE Graha Timur terhadap kepuasan pelanggan yang ditunjukkan melalui hasil uji regresi linier sederhana memiliki nilai constanta 7,795 dengan hasil uji hipotesis t yang dilakukan bahwa nilai t hitungnya 11,235 lebih besar dari t tabel dengan nilai signifikan 0,000 dibawah 0,05, dan besaran pengaruhnya dapat dilihat dari koefisian determinasi r2 (square) = 0,674 atau 67,4%. Dengan melihat nilai koefisien determinasi yaitu 0,674 atau 67,4% mendekati angka 1, artinya pengaruh variabel X (Kualitas Pelayanan) terhadap variabel Y (Kepuasan Pelanggan) berada pada kategori kuat.
A atividade policial militar e qualidade de vida: um estudo de caso da 1ª companhia do 15º BPM em Rolândia/PR
Authors: Santos Júnior Daniel Antonio dos , Caetano Cristiano Israel , Costa Caroline Schweigert , Sentone Rafael Gomes
Published: February 2025

A condição da qualidade de vida dos militares é um aspecto de importância para os comandantes, que são os gestores do policiamento ostensivo, uma vez que ao se considerar os aspectos profissionais, um policial não consegue desempenhar de forma satisfatória sua função, especialmente quando não tem uma saúde adequada, que é obtida seguindo as orientações de entidades relacionadas à saúde, como a Organização Mundial da Saúde. O presente estudo tem por objetivo analisar a qualidade de vida dos militares lotados na 1ª companhia do 15º BPM. Como procedimentos metodológicos foi aplicado o questionário que avalia a qualidade de vida (SF-36) aos policiais militares que atuam na cidade de Rolândia/PR, que estejam no serviço ativo, respondam de forma voluntária, homens e mulher. Como principais resultados verificou-se que em todos os oito domínios avaliados no questionário SF-36, os militares estudados obtiveram a pontuação superior ao escore cinquenta, estando acima da média comparando com os dados da OMS, destacando os domínios de capacidade funcional e limitação por aspectos físicos com os maiores escores, acima de 80 pontos. Conclui-se que a qualidade de vida do efetivo estudado é alta se comparados com os padrões estabelecidos pelas diretrizes da OMS, havendo a necessidade de se avaliar outros aspectos socioambientais para relacionar os dados obtidos com as motivações que levam esse efetivo a estarem neste quadro de saúde, sugerindo que pesquisa da mesma natureza sejam realizadas com mais policiais de outras regiões para complementar as discussões.
Sales Rate Prediction for Condominiums in the Bangkok Metropolitan Region Using Deep Learning: Identification of Determinants and Model Validation
Authors: Tochaiwat Kongkoon , Seniwong Patcharida
Published: February 2025

The sales rate is very important information for condominium design and development processes. However, predicting it accurately requires substantial expertise and experience. This research investigated the use of a Deep Learning model to predict condominium sales rates and explored various determinants that influence sales rates. The research was done by (1) identifying the determinant factors from the literature review, (2) collecting 199 data from market survey reports, (3) creating a Deep Learning model that can predict the sales rate of a condominium by its determinant factors, and (4) verifying the model by checking its coefficient of determination (R2 value). The research results revealed the three-layered network (34 input nodes, 19 hidden layer nodes and one output node) with R2 of 0.703 and RMSE of 0.539, showing the model has enough accuracy for planning purposes. The determinant factors comprise both internal and external factors, which can be divided into six groups: (1) Price-related factors, (2) Entrepreneur-related factors, (3) Room-related factors, (4) Project structure-related factors, (5) Common-area-related factors, and (6) Location-related factors.  By understanding the influence of this set of data on project sales rate, the project stakeholders can efficiently contribute to the project’s success. In addition, the results showed the high accuracy of the Deep Learning model even in the case of a limited amount of data.
Design of Intelligent Agricultural Greenhouse System
Authors: Zhang Hongze , Pan Huaxiang
Published: February 2025

China's agricultural production is gradually transferred to greenhouses.to solve the negative factors that seriously endanger the growth of crops. So that the growth of crops is not affected by the region and climate, and the quality and total production of crops are effectively guaranteed, an intelligent and efficient management method for modern agriculture is introduced. It can maximize the efficiency of agricultural production, reduce resource waste, and provide a feasible solution for the sustainable development of intelligent agriculture through real-time monitoring and intelligent control. This paper uses an intelligent agricultural greenhouse system based on the STM32 microcomputer to realize real-time monitoring and intelligent control of the greenhouse environment. It integrates various sensors, including environmental temperature and humidity sensors, soil moisture sensors, and light intensity sensors. Through the precise control of STM32, it realizes the efficient control of the greenhouse's environmental temperature and humidity, soil moisture, and light intensity. Connected to the cloud platform through the NB-IoT communication module, users can remotely view and adjust the greenhouse environment parameters anytime.
Time Series Modeling and Forecasting Analysis of Energy Consumption in a Rare Earth Workshop
Authors: Li Junfeng , Chen Qian , Du Yang , Lijiang Donghui , Liang Zhen
Published: February 2025

Under the framework of the dual-carbon strategy, an in-depth study of carbon emission efficiency in energy consumption is of strategic importance for China to achieve its goals of carbon peaking and carbon neutrality, as well as to guide the economic and social transition towards a green, low-carbon, and sustainable development model. This study aims to provide empirical support in this field through detailed data analysis and predictive modeling. The paper employs the ARIMA time series prediction model, focusing on analyzing the power consumption data of a sintered NdFeB workshop from 2023 to 2024 to make accurate predictions of future energy use and carbon emission trends. The research process is rigorous: first, unit root tests (ADF tests) and white noise tests are conducted on the collected dataset to ensure data stationarity and reliability. Next, the Bayesian Information Criterion (BIC) is used to select optimal model parameters, enhancing the accuracy and efficiency of predictions. In terms of data processing, the dataset is divided into a training set and a test set in an 8:2 ratio, ensuring the model learns data characteristics thoroughly during training and demonstrates strong generalization in testing. The experimental results indicate that applying the ARIMA model to forecast power consumption data in the workshop effectively reveals intrinsic energy consumption patterns and provides valuable guidance for optimizing workshop energy management and reducing carbon emissions.