bluuebunny/crossref_metadata_2025 huggingface dataset:
The Physical Therapy Efficacy Index and Chart: a stimulus for value-based healthcare using real-world data. A mixed methods study
Authors: Kiers Henri , Felius Richard A.W. , Heijmans Martijn W. , Verburg Arie C.
Published: August 2024

Background
Health care costs are rising rapidly in Western societies. Understanding the benefits and costs of care is crucial to maintaining or improving existing health care systems. We propose an instrument that provides a clear overview of both the costs and returns of a treatment to improve the quality of care while keeping the costs affordable.
Methods
First, a general value-based healthcare concept was developed as an efficacy index. Second, a Physiotherapy-specific Efficacy Index (PE-Index) for musculoskeletal disorders was formulated based on pain and functional improvement, treatments, and episode duration. The PE-Index 's discriminative value was assessed using a linear mixed model with physiotherapy practices as a random effect in real-world data from a national registry. Variation attributed to practices was quantified by an intraclass correlation coefficient. Separate linear mixed models and a radar plot (PE-Graph) visualized individual PE-Index components. Lastly, stakeholders evaluated the PE-Index and PE-Graph for internal quality improvement and external transparency through surveys and advisory board meetings.
Results
In total, 95.805 episodes treated in 370 practices were included in the linear mixed models. The PE-Index demonstrated an adequate discriminative ability with an ICC of 0.118.
Stakeholders agree that the PE-Index and the PE-Chart are appropriate for improvement of quality of care and enhancing the current system for external transparency. Nevertheless, because of concerns about a too hasty implementation and the risk of strategic gaming, both were not considered suitable for external transparency right now.
Conclusions
The PE-Index and PE-Graph are adequate instruments to discriminate between practices and can be used for internal quality improvement, however, are not yet suitable for external transparency purposes.
The combination of nanoparticles (NPs) and endophytes boosts Thyme (Thymus vulgaris L.) resistance to drought by elevating levels of phenolic compounds, flavonoids, and essential oils
Authors: Kamyab Afsoun , Samsampour Davood , Ahmadinasab Navid , Bagheri Abdonnabi
Published: August 2024

To assess the growth and biochemical responses of Thymus vulgaris to the application of iron oxide nanoparticles (Fe2O3 NPs) and endophytes under drought stress, a factorial experiment was designed in a completely randomized design (CRD). Experimental treatments included 4 irrigation levels (100, 75, 50, and 25% FC), 4 levels of Fe2O3 NPs (0, 0.5, 1, and 1.5 mgL− 1), and 3 levels of endophytes (control, bacteria and fungi). Drought stress had a detrimental impact on total dry matter (TDM). Inoculation of plants with endophytes and foliar Fe2O3 NPs spraying played a positive role in preserving and increasing the phenolic and flavonoid contents of thyme under drought-stress conditions. The highest total phenolic content (2.86 mg g− 1 FW) and total flavonoid content (4.54 mg g− 1 FW) were observed in plants treated with bacteria along with 1 mgL− 1 Fe2O3 NPs and fungal treatment with 0.5 mgL− 1 Fe2O3 NPs, respectively, under 25% FC irrigation. Exposure to moderate and severe drought stresses increased the predominant phenolic compounds (p-coumaric acid, caffeic acid, and ferulic acid) in the methanolic extract of thyme. During moderate stress conditions (50% FC), bacterial endophytes exerted a more substantial influence on the elevation of p-coumaric acid compared to fungal endophytes. In response to reduced irrigation levels, the essential oil percentage increased in thyme plants, while the predominant constituents of the essential oil, namely thymol and carvacrol, decreased. Endophytes and Fe2O3 NPs positively influenced the percentage of essential oil and the concentrations of thymol and carvacrol in the essential oil.
Modelling the alpha and beta diversity in the community of copepods across tropical and subtropical Atlantic ecoregions: a taxonomic and functional approach
Authors: Martínez-Leiva Lorena , Landeira Jose , de Puelles María Luz Fernández , Hernández-León Santiago , Tuset Víctor , Fatira Effrosyni
Published: August 2024

Copepods, the most abundant individuals of the mesozooplankton group, play a pivotal role in marine food webs and carbon cycling. However, few studies have focused on their diversity and the environmental factors influencing it. The objective of the present study is to model the alpha and beta diversity of copepods across the tropical and subtropical ecoregions of Atlantic Ocean using both taxonomic and functional approaches. The study used a dataset of 226 copepod species collected by stratified plankton hauls (0-800 m depth) across the tropical and equatorial Atlantic, from oligotrophic waters close to the Brazilian coast to more productive waters close to the Mauritanian Upwelling. To perform the functional analysis, six traits related to the behaviour, growth, and reproduction of copepods were selected. Several alpha diversities were estimated using taxonomic metrics (SR, Δ+, and Λ+) and functional metrics (FDis, FEve, FDiv, FOri, FSpe), and modelized with GAM model across spatial, temporal, and environmental gradients. The two components of beta diversity (turnover and nestedness) were shared between ecoregions. The surface layers of oligotrophic, equatorial, and Cape Verde ecoregions displayed higher values of taxonomic indices. More unpredictable were the functional indices, although they showed a tendency to be positive with depth during the daytime. The GAM analysis revealed spatial gradients as the key factors modelling the alpha taxonomic diversity. A similar pattern was found with functional diversity, although it was also influenced by night/daytime. Species turnover drove beta taxonomic diversity, whereas a nesting pattern characterized the functional beta diversity. The community structure of copepods changed across geographical regions, but this was not coupled to functional shifts; instead, functional redundancy was observed.
Intelligent support system for ground settlement management during TBM tunneling by combining machine learning with statistical analysis
Authors: Kwon Kibeom , Kang Minkyu , Kim Dongku , Pham Khanh , Choi Hangseok
Published: August 2024

Ground settlement management is crucial in tunnel boring machine (TBM) tunneling. Previous studies on predicting ground settlement have required substantial assumptions or information, making it challenging to explicitly determine their predictive criteria. This study developed an intelligent TBM operation support system for ground settlement management, by combining machine learning and statistical analysis. Initially, measured settlements were categorized into three classes: heaving, normal, and large settlement. Based on three key features selected through correlation analysis, the predictive criterion for the heaving class was determined using an initial model based on a decision tree algorithm. Subsequently, through statistical analysis, the predictive criteria for the normal and large settlement classes were established. The developed support system, using only three key features, achieved an accuracy of 0.847, F1 score of 0.784, precision of 0.798, and recall of 0.770, outperforming two ensemble machine learning models that used nine features. Moreover, the system can provide explicit predictive criteria, enhancing its practical applicability. Error analysis revealed that among the four instances misclassified by the support system, three pertained to minor settlements within ± 3 mm.
Moon Swirls Unveil the Origin of the Lunar Magnetic Field
Authors: Zuo Boxin , Hu Xiangyun , Wang Lizhe , Cai Yi , Kass Mason Andrew
Published: August 2024

The origin of magnetic anomalies and lunar swirls has long puzzled scientists. The prevailing theory posits that an ancient lunar dynamo core field magnetized extralunar meteoritic materials, leading to the current remnant magnetic anomalies that shield against solar wind ions, thereby contributing to the formation of lunar swirls. Our research reveals that these lunar swirls are the result of ancient electrical currents that traversed the Moon’s surface, generating powerful magnetizing fields impacting both native lunar rocks and extralunar projectile materials. We have reconstructed 3-D distribution maps of these ancient subsurface currents and developed coupling models of magnetic and electric fields that take into account the subsurface density in the prominent lunar maria and basins. Our simulations suggest these ancient currents could have reached density up to 13 A/m², with surface magnetizing field as strong as 469 µT. We propose that these intense electrical current discharges in the crust originate from ancient interior dynamo activity. This phenomenon may be common to celestial bodies with a dynamo core, potentially including Earth.
IRSN-23 Gene Diagnosis Predicts Response to Neoadjuvant Chemotherapy and Refines Breast Cancer Subtype Classification (Prospective Analyses)
Authors: Sota Yoshiaki , Seno Shigeto , Naoi Yasuto , Honma Keiichiro , Shimoda Masafumi , Tanei Tomonori , Matsuda Hideo , Shimazu Kenzo
Published: August 2024

Introduction:
This study evaluates the reproducibility of the IRSN-23 model, which classifies patients into highly chemotherapy-sensitive (Gp-R) or less-sensitive (Gp-NR) groups based on immune-related gene expression using DNA microarray analysis, and its impact on breast cancer subtype classification.
Methods:
Tumor tissues from 146 breast cancer patients receiving preoperative chemotherapy (paclitaxel-FEC) ± trastuzumab at Osaka University Hospital (OUH) were used to classify patients into Gp-R or Gp-NR using IRSN-23. The ability to predict a pathological complete response (pCR) was assessed and the results were validated with independent public datasets (N = 1,282).
Results:
In the OUH dataset, the pCR rate was significantly higher in the Gp-R group than in the Gp-NR group without trastuzumab (29 versus 1%, P = 1.70E-5). In all validation sets without anti-HER2 therapy, the pCR rate in the Gp-R group was significantly higher than that in the Gp-NR group. The pooled analysis of the validation set showed higher pCR rates in the Gp-R group than in the Gp-NR group, both without (N = 1103, 40 versus 12%, P = 2.02E-26) and with (N = 304, 49 versus 35%, P = 0.017) anti-HER2 therapy. Collaboration analyses of IRSN-23 and OncotypeDx or PAM50 could identify highly chemotherapy-sensitive groups and refine breast cancer subtype classification based on the tumor microenvironment (offensive factor - PAM50 and defensive factor - IRSN-23), and the immune subtype was correlated with a better prognosis after NAC.
Conclusions:
This study offers prospective analyses of IRSN-23 in predicting chemotherapy efficacy, showing high reproducibility. The findings indicate the clinical value of using IRSN-23 for refining breast cancer subtype classification, with implications for personalized treatment strategies and improved patient outcomes.
Intraoperative Pulmonary Embolism During General Anesthesia Diagnosed with Transesophageal Echocardiography: A Case Report
Authors: Rafizadeh M.D. Sassan , Abikenari M.S Matthew , Kakazu
Published: August 2024

Acute pulmonary embolism (APE) can be a life-threatening event with significant morbidity and mortality, particularly in the perioperative period. While early detection and intervention are essential, the common signs and symptoms are not overtly detectable under general anesthesia. Here, we present a case of an otherwise healthy 43-year-old female who presented with an intraoperative pulmonary embolism during general anesthesia for left patella tendon repair following a ground-level fall. Rescue transesophageal echocardiography (TEE) revealed a thrombus in the right main pulmonary artery and signs of right heart strain, including tricuspid regurgitation and right ventricular dilation. The patient was emergently taken to the interventional radiology suite and treated with catheter thrombectomy. The patient’s condition stabilized post-procedure, and she was subsequently discharged with anticoagulation therapy. The current case study elucidates the clinical challenges of diagnosing intraoperative APE, particularly in anesthetized patients where typical symptoms are masked. Intraoperative TEE played a pivotal role in early embolism detection and facilitated prompt, life-saving intervention. This case recapitulates the vital importance of utilizing advanced diagnostic tools in managing intraoperative emergencies. Future studies on developing pathophysiologic models and flowcharts specifically for intraoperative APE could significantly reduce adverse outcomes in diagnostically challenging cases.
Preliminary Feasibility and Efficacy of a Brief Behavioural Treatment for Insomnia after Acquired Brain Injury: A Case Series
Authors: Gardani Maria , Baylan Satu , Zouhar Veronika
Published: August 2024

Insomnia after Acquired Brain Injury (ABI) is common and can negatively impact individuals’ rehabilitation, recovery and quality of life. The present study investigated the feasibility and preliminary efficacy of a Brief Behavioural Treatment for Insomnia (BBTI) in a community sample following ABI. Ten participants were recruited. Seven participants attended four weekly sessions of BBTI and kept a daily sleep diary. Participants completed a semi-structured sleep interview at baseline and self-report measures of sleep, anxiety and depression pre- and post-treatment as well as a treatment acceptability questionnaire post-treatment. Follow-up data were collected at one, two- and three-months post-treatment. Visual analyses of the data were performed on a case-by-case basis. Five participants (71%) demonstrated clinically significant improvements in sleep questionnaire measures, one showed treatment response and one (14%) showed nonresponse post-treatment. Treatment effects on sleep outcomes were either maintained or augmented at follow-ups. BBTI was found to be well-tolerable, as evidenced by high overall retention rates (70%) and positive feedback on the treatment acceptability questionnaire. These results provide preliminary evidence of BBTI being both feasible to use and efficacious in individuals with post-brain-injury insomnia. Larger-scale randomised controlled trials are needed to establish the effectiveness of BBTI following ABI.
Oxytocinerge Modulation von Sprachproduktion
Authors:   , Vogt Charlotte
Published: August 2024

Oxytocin, welches primär als Hormon bekannt ist, beeinflusst als Neuromodulator viele kognitive Prozesse, die an sozialem Verhalten, wie Sprache, beteiligt sind. Einerseits verändert es akustische Merkmale von gesprochener Sprache, andererseits erleichtert es auf perzeptueller Ebene die Emotionserkennung in der Sprachwahrnehmung und Körpersprache. Bislang war nicht bekannt, wie Oxytocin Hirnaktivität während des Sprechens verändert. Wir hypothetisierten, dass dieser Neuromodulator ähnlich wie Dopamin kortiko-basale Schaltkreise bahnen könnte. Wir führten eine doppelt-verblindete Verhaltens- und funktionelle Kernspintomographiestudie durch, in der 52 gesunde Probanden an zwei getrennten Untersuchungsterminen entweder intranasales Oxytocin oder ein Placebo erhielten. Die Teilnehmer lasen Sätze außerhalb des Kernspintomographen und im Scanner leise oder laut mit entweder neutraler oder fröhlicher Intonation vor. Die Verabreichung von Oxytocin erhöhte den zweiten Formanten der produzierten Vokale. Höhere Frequenzen dieses akustischen Parameters wurden zuvor mit einer positiven Valenz gesprochener Sprache in Verbindung gebracht; jedoch konnten unabhängige Beurteiler*innen die akustischen Unterschiede in unserem experimentellen Setting nicht konsistent unterscheiden. Als neuronales Korrelat verstärkte Oxytocin die präparatorische subkortikale Gehirnaktivität im ventralen Pallidum und Striatum. Auch kortikal erhöhte Oxytocin präparatorische Gehirnaktivität in Regionen des dorsalen wie auch des ventralen Sprachverarbeitungsstroms, in sensomotorischen Kortizes und limbischen sowie exekutiven Regionen. In einigen dieser Regionen modulierte der genetische Oxytocin- Rezeptor-Polymorphismus rs53576 die durch die Oxytocin-Verabreichung verursachte Gehirnaktivität. Ähnlich wie Dopamin modulierte Oxytocin außerdem kortiko-basale Schaltkreise, die an der Generierung von fröhlicher Prosodie beteiligt sind. Während der Vorbereitung von Sprache erhöhte der Neuromodulator die funktionelle Konnektivität zwischen dem ventralem Pallidum und dem dorsolateralen präfrontalen Kortex mit einem spiegelbildlichen Profil während des eigentlichen Sprechens, einen Effekt den wir als „gating“ (Bahnung) interpretierten. Unsere Ergebnisse legen nahe, dass mehrere neuronale Prozesse, die der Sprachproduktion zugrundeliegen, durch Oxytocin moduliert werden. Das Muster ähnelt hierbei dem anderer Neuromodulatoren wie Dopamin. Die vorliegende Arbeit charakterisiert somit erstmals Oxytocineffekte auf die mit Sprachproduktion assoziierte Hirnaktivität und funktionelle Konnektivität.
Riscos no Uso de Preenchedores na Harmonização Orofacial uma Revisão de Literatura
Authors: Rodrigues Gustavo Tirado , Pedron Irineu Gregnanin , Amaral Regiane Cristina do , Gaujac Cristiano
Published: August 2024

A busca por ideais estéticos tem levado ao aumento na procura por intervenções invasivas ou não. O uso de preenchedores dérmicos como alternativa “menos” invasiva e temporária apresenta grande crescimento, de modo similar tem-se observado aumento no surgimento de complicações. O objetivo desse trabalho foi analisar a produção científica mais recente acerca das situações de risco envolvendo o uso de preenchedores orofaciais. Para tal foram selecionados artigos científicos a partir da plataforma Medline no período entre 2015 e 2022. A análise do estudo demonstra que o conhecimento anatômico e vascular é de suma importância para o sucesso do procedimento, além desses, é destacado o uso de matérias, a técnica da aplicação e os cuidados com a biossegurança. Os profissionais devem estar cientes da possibilidade de risco e do suporte técnico para o tratamento de possíveis complicações.
Functional renormalization group for fermions on a one dimensional lattice at arbitrary filling
Authors: Désoppi Lucas , Dupuis Nicolas , Bourbonnais Claude
Published: August 2024

A formalism based on the fermionic functional-renormalization-group approach to interacting electron models defined on a lattice is presented. One-loop flow equations for the coupling constants and susceptibilities in the particle-particle and particle-hole channels are derived in weak-coupling conditions. It is shown that lattice effects manifest themselves through the curvature of the spectrum and the dependence of the coupling constants on momenta. This method is then applied to the one-dimensional extended Hubbard model; we thoroughly discuss the evolution of the phase diagram, and in particular the fate of the bond-centered charge-density-wave phase, as the system is doped away from half-filling. Our findings are compared to the predictions of the field-theory continuum limit and available numerical results.
Inbound social media marketing and increased sales in SMEs: a correlational study in the pet food industry
Authors: John Vasquez-Reyes Boris , Cordova-Buiza Franklin
Published: August 2024

New market trends have prompted Peruvian companies to apply techniques aimed at attracting potential customers, that is, to use inbound marketing, especially in the pet market, which has a profitable and competitive niche, driven mainly by the “pet-friendly” trend. This research aims to determine whether inbound marketing actions have a positive correlation with online sales. The methodology is quantitative, correlation, cross-sectional, and non-experimental. The target audience is men and women, between 18 and 35 years old who have made online purchases in the Peruvian pet food SME, Rapi Pet S.R.L. The sample is non-probabilistic and is composed of 248 people who completed a structured questionnaire of 24 questions. The results show positive perceptions of both variables with values higher than 70% after applying the barometer test, the reliability of the questionnaire was also established under Cronbach’s alpha of 0.922 and a correlation coefficient of 0.66 was obtained for the variables, as well as a p-value lower than 0.05 after performing the normality test. It is concluded that there is a positive relationship between inbound marketing actions and the increase of online sales in the company under study.
Mulher, ciência e educação profissional: O protagonismo das mulheres pesquisadoras no IFAC
Authors: Vidal Irla de Oliveira , De Azevedo José Marlo Araújo , Azêvedo Hellen Sandra Freires Azêvedo
Published: August 2024

Considerando que o Instituto Federal do Acre (Ifac) completa sua primeira década de existência, é importante ampliar o olhar sobre a participação feminina nas produções científicas da instituição e, a partir dos resultados, orientar políticas institucionais relacionadas ao incentivo à participação de mais mulheres na pesquisa, no empreendedorismo e na inovação. Assim, esta pesquisa teve como objetivo analisar o protagonismo histórico das professoras doutoras do Ifac. Foi utilizado como metodologia a investigação narrativa, com abordagem teórica qualitativa e com procedimento exploratório e investigativo apoiado pelo estudo de caso. As entrevistas via questionário centraram-se na análise de conteúdo de Bardin (2016). O estudo revelou que, apesar do avanço feminino nos espaços científicos, e do sentimento de realização profissional como cientista na Rede Federal de Ensino, ainda há a necessidade de um profundo olhar para a equidade de gênero no campo profissional e científico, por meio de políticas públicas em apoio às mulheres. Consideram-se desafios como a maternidade, visto que há a necessidade de uma maior extensão no processo de execução de suas atividades nos projetos de pesquisa. Assim, a temática ajuda na divulgação no campo científico para visibilidade feminina na ciência, a partir das instituições como fonte de valorização para carreiras vinculadas ao desenvolvimento do ensino, pesquisa e extensão na EPT.
Kebijakan Luar Negeri Indonesia Melalui Diplomasi Siber ASEAN Regional Forum (ARF): Sanksi-Sanksi Dan Peran Indonesia
Authors: Putri Kadek Nadya Ananda
Published: August 2024

Pesatnya perkembangan industri teknologi dan informasi menuntut individu untuk dapat beradaptasi dalam kecanggihan teknologi. Melalui teknologi, masyarakat dapat dengan mudah mengakses internet dimanapun dan kapanpun. Akibat dari perkembangan internet yang semakin luas jangkauannya, pada akhirnya membawa dampak positif dan negatif. Dampak negatif yang dihasilkan salah satunya yaitu kejahatan siber yang merugikan kehidupan. Dengan demikian, Indonesia bersama dengan ASEAN membentuk forum regional untuk memerangi isu kejahatan siber dalam kawasannya. Tujuan dari penelitian ini adalah untuk menganalisis bentuk kebijakan yang diterapkan Indonesia dalam hasil diplomasi ASEAN Regional Forum dan peran Indonesia dalam diplomasi siber. Penelitian ini menggunakan metode penelitian kualitatif deskriptif dengan mengumpulkan sumber-sumber literatur seperti jurnal, buku, dan website. Hasil dari penelitian ini ditemukan bahwa peran Indonesia dalam ASEAN Regional Forum sangat berpengaruh dan Indonesia memperlihatkan eksistensinya dalam mengusulkan berbagai usulan terkait keamanan siber. Diplomasi siber ASEAN Regional Forum pun menerangkan bahwa terdapat tiga bentuk yang dapat dilakukan, seperti Confidence Building Measures, Preventive Diplomacy, dan Conflict Resolution Mechanism. Dengan demikian dapat disimpulkan bahwa, peran keterlibatan Indonesia dalam ARF tidak semata-mata hanya menjadi peserta saja, tetapi mampu memberikan usulan yang dimasukan dalam workplan kedepannya. Serta, Indonesia memiliki undang-undang dalam menangani pelaku dan tindakan kejahatan siber domestiknya.Keywords: Diplomasi Siber, Peran Indonesia, Kebijakan Luar Negeri, ASEAN Regional Forum, Sanksi-Sanksi.
Mathematical Simulation of Dairy Food Technology
Authors: Gavrilova Natalya , Chernopolskaya Natalya , Agibaeva Alya
Published: August 2024

Goat cottage cheese and cheese are popular dairy protein products. This article describes biotechnological parameters for fermenting a dairy food system from goat’s milk and soy fiber as prebiotic. The research featured two types of starter cultures: 1) Yolactis (Cottage-Cheese) + BB12; 2) Tvorog (Zelyonye Linii) + BB12. The experimental data were analyzed using Table-Curve 3d, MathCAD-Pro, and Excel. The resulting mathematical models demonstrated single-phase and two-factor dependencies, which proved that Tvorog (Zelyonye Linii) was the most effective starter culture. The method of mathematical simulation also made it possible to calculate those fermentation variables that were not established experimentally.
Efficient Whey Demineralization: Methods and Optimization
Authors: Volodin Dmitry , Topalov Victor , Kulikova Irina , Evdokimov I. , Khazov Dmitry , Sorokin Kirill
Published: August 2024

Demineralized whey has good sensory and functional properties. As a result, it is important on the global market of food ingredients. Demineralized whey is part of numerous formulations, including baby food. As healthy diets and functional foods get more popular, the overall consumption of dairy products continues to grow. New whey processing technologies open greater opportunities for products with increased value. The review features modern industrial methods of whey demineralization, i.e., nanofiltration, electrodialysis, and ion exchange, as well as their advantages and disadvantages. Nanofiltration has low selectivity for monovalent ions, which means it provides only partial demineralization and concentration. Electrodialysis is an electromembrane process that separates ions from a solution with the help of electric field. It is more effective in removing minerals and provides 90% demineralization. However, its efficiency depends on the type of ions, their concentration, and membrane properties. High concentrations of divalent ions slow demineralization down and increase the processing time. The ion exchange method involves exchange resins, i.e., polymeric materials with functional groups that can bind to ions (cations or anions) in the solution and exchange ions. Different whey demineralization methods can be combined based on the type of raw materials and final product.
Food Spoilage by Pseudomonas spp.: Disinfectant Tolerance
Authors: Yushina Yuliya , Bataeva Dagmara , Nasyrov Nazarbaj , Zaiko Elena , Stakhanova Olesya , Rogov Grigorii
Published: August 2024

This research featured the resistance of isolates of Pseudomonas spp. to disinfectants. The samples were isolated from a dairy product with visible sensory changes, i.e., blue discoloration, as well as from objects of dairy production environment. As a result, five strains in planktonic and biofilm states were tested for disinfectant tolerance. Most isolates demonstrated more tolerance as biofilms than as plankton. The disinfectant tolerance in Pseudomonas brenner, Pseudomonas synxantha, and Pseudomonas libanensis correlated with their ability to form biofilms. Antibacterial activity against biofilm is an important indicator when choosing an optimal preventive disinfectant for dairy production facilities. The research results make it necessary to reconsider the current approaches to sanitary treatment in the food industry.
Synergy of digital technologies and service model of tax authorities as a driver of tax administration development
Authors: Goncharenko Lubov I. , Advokatova Alena S.
Published: August 2024

As an object of scientific research, tax administration has its own specifics, since practial and theoretical issues are closely intertwined. The Russian Federal Tax Service has become a recognized pioneer in applying the latest digital technologies in its activities, including big data processing and artificial intelligence (AI). Being in constant contact with taxpayers, including in new digitalized forms, tax authorities solve theoretical questions on the correct terminology understanding and usage, the content of new and old definitions of known categories and phenomena, such as “taxes,” “tax secrecy,” “customer focus,” “human-centeredness,” and “tax culture.” It is important to assess the functional actions of tax authorities in terms of control activities, studying its new form in the form of tax monitoring, from the position of interdepartmental cooperation as well as, for the purpose of improving the efficiency of budget calculations and justification of tax innovations. That should ensure the effectiveness implementing national projects with minimal administrative or controlling burden, among other things. Having highlighted the service model of tax authorities’ detail, the authors consider the issues of its implementation in relation to different categories of taxpayers (individuals and legal entities); in addition, they show the process of transformation and prospects of development in view of new tools of interaction between tax authorities and taxpayers.
Unanswered questions from teachers to students
Authors: Davydenko Vladimir A. , Andrianova Elena V.
Published: August 2024

The central positions of the publication are discussed: “Shubrt, I., & Podvoisky, D. G. (2024). Modern sociological theories: how not to get lost in the conceptual maze? Russian Public Opinion Research Center”. The book describes the state of science in the humanitarian sphere today in terms of “sociological theories”. The review presents an analysis of the main content of this book and outlines the authors’ reflections and conclusions regarding its entry into the professional space of sociologists. The review identifies its key strengths and explicitly highlights critical and debatable points, which boil down to the fact that alongside other books on “modern sociological theories”, the reviewed work stands out because its authors seek to convey their content, essence, and meaning “in their own words”, in the scientific style of a “concise cheat sheet”. Although, as the authors of this book themselves admitted, the logic of selecting the analyzed figures in sociology and the depth of elaboration of their scientific contributions are not entirely clear to them, nevertheless, the merits of their approaches are expressed quite clearly and precisely, based on publications in the high-rated journal “Sociological Studies”. However, it should be noted that there are conceptual errors such as that in Jurgen Habermas’s “latest Russian translation”, the original category is designated as “activity”, although in reality, this internationally recognized definition is “action”, stemming from the scientific tradition of action systems of Talcott Parsons and Max Weber. The review proposes original conceptual resources to clarify the authorial paradigm of I. Shubrt and D. G. Podvoisky for a more precise and concise operationalization of modern sociological theories in the case of the second edition of this book.
Topical issues regarding the emergence of the obligation to compensate moral damage through the lens of law enforcement practice
Authors: Solomin Sergei K. , Solomina Natalia G.
Published: August 2024

The article identifies the most problematic issues of today compensation of moral damage, which have been formed under the influence of the established judicial practice. Based on the formulation and resolution of the general problem of the correlation between the institution of moral damage compensation and the institution of damage compensation, the authors of the article provide a critical assessment of a number of approaches established in judicial practice, effecting the stage of the emergence of the obligation to compensate moral damage. The methodological basis of the study was composed of such special legal methods as the formal legal method and the method of legal modeling. The key conclusion of the study that the relations on compensation of moral damage are independent; their legal regulation is carried out autonomously from the relations associated with the compensation of property damage. At the same time, the authors do not exclude the connection between the mechanism of compensation for moral damage and the mechanism of compensation for property damage. This connection is manifested in the possibility of applying the general provisions on compensation for damage to relations on compensation for moral damage in a subsidiary order, but only in cases, where the basis for the emergence of the right to apply to the court with a claim for compensation for moral damage is a behavioral act that became the cause of the emergence of a tort obligation.
Importancia de la inteligencia artificial en la evaluación de la biomasa forestal en el Perú
Authors: Ormachea Ramos Álvaro Manuel
Published: August 2024

This article explains basic concepts of Artificial Intelligence (AI) linked to forest biomass estimation, and reviews three research studies carried out in tropical areas using AI models with traditional allometric equations. The results show that AI-based methods have greater accuracy and ability to relate key variables in forest biomass development than allometric equations. These facts highlight the need for Peruvian forest engineers to develop capabilities for the use of AI in the estimation of forest biomass in the country. This capacity building would imply a more demanding curriculum in mathematics, statistics and computer science for forest engineers; as well as the installation of an extensive network of permanent plots for the creation of a solid database of the variables involved in the development of forest biomass. It is proposed to start a discussion on the subject among the Peruvian forestry community in order not to lose opportunities in the carbon credits market, which, according to the cases reviewed, will require more precise measurements than the current ones carried out through the use of allometric equations.
La carpoteca del Herbario TEFH: una herramienta de apoyo en la educación e investigación
Authors: Ortega Joel , Laura Flores Ana , Beltrán Francia , Ferrufino-Acosta Lilian
Published: August 2024

Las carpotecas son consideradas colecciones que albergan frutos secos. El objetivo de este trabajo es documentar la colección que contiene frutos de tamaño grande que acompañan a los especímenes depositados en la colección del Herbario TEFH. Los frutos fueron curados, etiquetados, fotografiados, categorizados por tamaño y guardados en bolsas de papel, organizados en una base de datos. La colección de frutos del herbario TEFH cuenta con un total de 224 frutos dehiscentes e indehiscentes, pertenecientes a 35 familias, de los cuales 92 frutos corresponden a la familia Pinaceae, seguido de Malvaceae (13), Fabaceae (12), Elaeocarpaceae (9), Meliaceae (9) y Apocynaceae (8), siendo las familias con mayor número de especies. Esta colección de frutos desempeña un papel crucial en la preservación y estudio de la diversidad vegetal, proporcionando información valiosa sobre el conocimiento de la flora de Honduras, recolectada en bosques de coníferas y bosques nubosos.
Flora leñosa en dos áreas de la zona Reservada Bosque de Zárate, San Bartolomé, Huarochirí, Lima - Perú
Authors: Jimenez-Carlos Lizett Cristina , Mamani-Melo Jazmín Sofia , Terrones-Cortez Violeta , Hidalgo-Trejo Lila Ibeth , Monteverde-Calderon Enrique Gianlucca , Terreros-Camac Sara Lucia
Published: August 2024

The objective of this study was to evaluate the woody flora of the Zárate Forest Reserved Zone (ZRBZ). The methodology consisted of intensive botanical collections in two areas of the ZRBZ. We identified 14 botanical species distributed in the families Asteraceae, Berberidaceae, Rosaceae, Solanaceae, Escalloniaceae, Myrtaceae, Araliaceae, Verbenaceae, Euphorbiaceae, Scrophulariaceae y Loranthaceae. Two species are identified as endemic. According to the International Union for Conservation of Nature (IUCN), one species is in the Near Threatened (NT) category. According to national legislation (Supreme Decree 043-2006-AG), one species is Critically Endangered (CR) and two species are Vulnerable (Vu). Likewise, it was found that the woody flora identified has various uses such as timber, medicinal and agroforestry, among the most important ones. Finally, it is concluded that it is necessary to update the list of flora species for each area of the ZRBZ, which can contribute to improving its management.
Aportes de las diversas economías a la economía forestal desde la perspectiva de la complejidad
Authors: Arce Rodrigo
Published: August 2024

El presente artículo trata sobre los aportes de las diversas economías a la economía forestal desde la perspectiva de la complejidad. La economía forestal en el Perú está inscrita en el marco del sistema capitalista neoliberal, por lo tanto, es mercantilista y concibe a los bosques como recursos forestales que deben generar aportes a la economía nacional a partir de su aprovechamiento sostenible y conservación. El objetivo del artículo es enriquecer el debate sobre la economía forestal, el desarrollo forestal y su marco de actuación en el Perú. Para el efecto, se realiza una revisión de bibliografía especializada y se complementa con trabajos previos del autor que ha ido explorando en las ciencias forestales, más allá de perspectivas estrictamente disciplinarias. De la revisión se concluye que los diversos tipos de economía han surgido como respuestas a las críticas a la economía convencional, aunque la mayoría de ellas no logran desprenderse del todo de su matriz neoclásica orientada al crecimiento infinito, basada en el mantenimiento de los modos de producción y de consumo. Unas pocas son abiertamente críticas y transformadoras. Todas las propuestas, de alguna forma, han tomado nota de las críticas a la subestimación de las consideraciones ambientales y sociales, por lo que el nivel de compromiso con la sustentabilidad varía entre sustentabilidad débil, sustentabilidad fuerte y súper fuerte. Las diversas economías ofrecen especificidades que son importantes tener en cuenta en una economía forestal que hasta ahora había mantenido su impronta neoliberal, sin haber producido una apertura hacia otras expresiones de la economía, más allá de la economía circular y la economía verde. Esta limitación impide salir del enfoque hegemónico y desaprovecha oportunidades para enriquecer su enfoque teórico y fortalecer las políticas forestales y de fauna silvestre. Es necesario revisar la relación humana con los bosques para abordar esta problemática de manera global.
Genotyping and Antiretroviral Drug Resistance Mutations among HIV Patients in Southern Santa Catarina, Brazil
Authors: Mendes Marcon Chaiana Esmeraldino , Schlindwein Aline Daiane , de Macedo Brigido Luis Fernando , Lopez-Lopes Giselle Ibette , Cabral Gabriela Bastos , Schuelter-Trevisol Fabiana
Published: August 2024

Introduction:

Therapeutic measures have been successful in increasing survival rates
and quality of life of HIV/AIDS-infected people. However, some people fail to respond to antiretroviral
therapy (HAART) because of viral resistance-associated mutations.

Objective:

To identify virus genotype and the presence of mutations that alter the susceptibility to
HAART, and factors associated with the occurrence of these mutations.

Methods:

A cross-sectional study was conducted on adults living with HIV attending a specialized
outpatient clinic in southern Santa Catarina, Brazil. The participants were interviewed and had
blood samples collected for analysis. Those with detectable viral load were genotyped.

Results:

Out of the 629 patients recruited, 127 subjects were included due to having a detectable
viral load. The most common mutations were M184V and K103N. HIV-1 subtype C was the most
prevalent strain. Resistance to HAART was associated with modification in the treatment regimen
(p <0.001).

Conclusion:

This study concluded that the circulating subtype virus was subtype C and that the
mutations K103N and M184V were the most prevalent strains in southern Santa Catarina, Brazil.
Application of Remote Sensing Image Classification Utilising Deep Learning in Technological Domains
Authors: Tarun Sai , Teja Tavva Poorna Sri Pavan , Rana Pooja , Mehta Amrinder , Vasudev Hitesh , Singh Gurbhej , Singh Suresh
Published: August 2024

Remote sensing technology is a powerful tool for a wide range of applications, from
medical diagnoses to environmental monitoring. Quality inspection, inventory management,
environmental monitoring, supply chain analysis, and predictive maintenance are just a few of
the many industrial uses for remote sensing image classification using deep learning. It's a tool
for lowering production costs without sacrificing quality or long-term viability. Remote Sensing
Image Classification with Deep Learning aids production and sustainability by offering data-
driven decision-making and useful insights. In this paper, we review the application of deep
learning techniques in the field of remote sensing data analysis. This paper aims to investigate
several techniques for visualising model decisions and to attribute them to specific aspects
within the dataset. The proposed techniques include deep convolutional neural networks
(CNNs) with saliency stream and RGB stream fusion techniques. In addition, we also discuss
the use of extreme learning machine (ELM) classifiers with fused features as input for results.
Finally, we discuss the performance of the proposed techniques on the UC Merced Land-Use
dataset, Aerial Image dataset (AID), and NWPU-RESISC45 datasets. The results of the experiments
demonstrate that the proposed techniques outperform other existing techniques. Additionally,
the fused features from different streams improve the performance of the model significantly.
This paper focused on information on various related research works and their models,
including datasets. The main purpose is to make the already existing bridge between social
life and the computer system even more robust.
TRAIN WHEEL OUT-OF-ROUNDNESS (OOR) AND MACHINE LEARNING-VIBRATION BASED FAULT DIAGNOSIS: A REVIEW
Authors: Yusran Yasser , Suweca I Wayan , Handoko Yunendar Aryo
Published: August 2024

This article aims to give a complete review of previous and current research on numerous types of out-of-roundness (OOR) failures in train wheels, as well as diagnostic approaches based on machine learning and vibration data. The study provides a comprehensive overview of the current state of research by categorizing reviews into three primary domains: (1) types of OOR failures in train wheels, (2) fault diagnosis methodologies, and (3) the use of machine learning and vibration data to diagnose train wheel OOR failures. Initially, the study investigates the characteristics, causes, and consequences of railway wheel OOR failures, including their impact on vibrations. It then dives further into diagnostic methods, comparing the effectiveness of statistical methods to machine learning-based methods for diagnosing failures. Furthermore, the study addresses current advances in machine learning and vibration-based diagnostic methods to diagnose train wheel OOR failures, providing information on their applications and results. This article highlights that by utilizing machine learning methods with vibration data offers a promising way for accurately diagnosing OOR faults in train wheels and predicting their potential failure and remaining useful life, resulting to enhanced maintenance efficiency and less downtime.
“Dear George, with Love”: Reading All Boys Aren’t Blue Through a Lens of Critical Love Amidst Rampant Book Bans
Authors: Kent Chelsea Rae , Kneeland Jillian M.
Published: August 2024

Amidst increasing book bans centering Queer folk and People of Color, this critical content analysis employs a framework of love to examine how George M. Johnson’s memoir-manifesto All Boys Aren’t Blue counters hegemonic narratives. After defining love across scholarship, the authors identify two tenets of love, self-examination and storytelling, as incremental to how Johnson’s story serves as an entry point for young people to see themselves and others in loving, authentic ways. The authors invite teachers and students to read this text through a lens of love as it exemplifies how stories can be leveraged to honor all lived experiences.
Everyone’s Culture is for the Children: Encountering and Contextualizing the Rhetorical Strategies of Book Banners
Authors: Szydlowski Nick
Published: August 2024

Commentators Stanley Kurtz and Christopher Rufo have been instrumental in developing the rhetoric used in the movement to remove books by and about BIPOC and LGBTQ+ people from school and public libraries. This article examines the rhetorical strategies used by Kurtz and Rufo, including the use of coded language which alludes to racial and sexual identity and the deployment of academic methods such as Foucauldian genealogy to misread and decontextualize efforts to make libraries more diverse and inclusive. This analysis suggests that book challenge campaigns can be understood as challenges to the validity of diversity, equity, and inclusion as values for public institutions such as libraries, and that libraries must counter these campaigns with a forceful defense of their commitment to diversity. In order to explore ways of expressing that commitment, and as a counterpoint to the strategic deployment of parents in book challenge campaigns, this article also includes both personal reflections on my own experience as a parent and an exploration of alternate views of the relationship between culture and childhood. Those reflections take as their inspiration Russell Jones’ famous phrase “Wu-Tang is for the children,” and go on to search for ways of expressing the value of encouraging children to experience our world as it is and to embrace the rich cultures that surround them.
Effects of Auditory and Visual White Noise on Oculomotor Inhibition in Children With Attention-Deficit/Hyperactivity Disorder: Protocol for a Crossover Study
Authors: Jostrup Erica , Nyström Marcus , Tallberg Pia , Söderlund Göran , Gustafsson Peik , Claesdotter-Knutsson Emma
Published: August 2024

Background

In attention-deficit/hyperactivity disorder (ADHD), poor inhibitory control is one of the main characteristics, with oculomotor inhibition impairments being considered a potential biomarker of the disorder. While auditory white noise has demonstrated the ability to enhance working memory in this group, visual white noise is still unexplored and so are the effects of both types of white noise stimulation on oculomotor inhibition.

Objective

This crossover study aims to explore the impact of auditory and visual white noise on oculomotor inhibition in children with ADHD and typically developing (TD) children. The study will investigate the impact of different noise levels (25% and 50% visual, 78 dB auditory), and performance will be evaluated both with and without noise stimulation. We hypothesize that exposure to white noise will improve performance in children with ADHD and impair the performance for TD children.

Methods

Memory-guided saccades and prolonged fixations, known for their sensitivity in detecting oculomotor disinhibition in ADHD, will be used to assess performance. Children diagnosed with ADHD, withdrawing from medication for 24 hours, and TD children without psychiatric disorders were recruited for the study.

Results

Data collection was initiated in October 2023 and ended in February 2024. A total of 97 participants were enrolled, and the first results are expected between September and November 2024.

Conclusions

This study will examine whether cross-modal sensory stimulation can enhance executive function, specifically eye movement control, in children with ADHD. In addition, the study will explore potential differences between auditory and visual noise effects in both groups. Our goal is to identify implications for understanding how noise can be used to improve cognitive performance.

Trial Registration

ClinicalTrials.gov NCT06057441; https://clinicaltrials.gov/study/NCT06057441

International Registered Report Identifier (IRRID)

DERR1-10.2196/56388