bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of New Ventilation and Hemodynamic Support Strategies on the Recovery of Critically Ill Patients with Acute Respiratory Distress Syndrome due to Sepsis: A Systematic Review
Authors: Chafla Romero Luisa Paulina , Dunay Silva Alexis Agustin , Caiza Asitimbay Mónica Alexandra , Cushpa Guamán Mauro Rubén , Chuga Guaman Jonathan Gabriel , López Bermeo Juan Camilo , Herrera Lozano Felipe Jose , Guarin-Rivera Syndy Katherine
Published: January 2025

Acute Respiratory Distress Syndrome (ARDS) is a complication caused by sepsis and present burden in critical care with high mortality and limited effective treatments. Advances in ventilation and hemodynamic support offer potential to improve recovery. Our aim is to systematically evaluate impact of new ventilation and hemodynamic strategies on the recovery of critically ill patients with ARDS due to sepsis. The research is conducted on Web of Science, PubMed, Embase, and Cochrane Library from January 2000 to December 2023. We selected randomized controlled trials and observational studies that looked at adult ARDS patients with sepsis as the main cause were the main focus of the inclusion criteria. Advanced fluid management, extracorporeal membrane oxygenation (ECMO) and lung-protective ventilation were among the interventions. Survival rates, length of mechanical breathing oxygenation improvements and complication rates were among the outcomes examined. Low tidal volume ventilation reduced mortality from 31% to 40% and ventilator-induced lung injury. Research stated that prone positioning improved oxygenation and reduced mortality in moderate-to-severe ARDS. We documented ECMO offered survival benefits in refractory cases while conservative fluid strategies reduced ventilator days without impacting mortality. Advanced hemodynamic monitoring and titration improved perfusion and recovery. Certain interventions such as high-frequency oscillatory ventilation, showed limited benefit or increased risk. Emerging strategies in ventilation and hemodynamic support enhance outcomes in sepsis-induced ARDS through individualized care. Future research should refine these interventions to optimize recovery while minimizing risks.
Arapapagáj mikroszatellita-markerek rokon fajok közötti tesztelése
Authors: Örkényi Zoltán , Szabó Krisztián
Published: January 2025

A papagájfajok szabadon élő, ill. fogságban tartott populációinak monitorozásához szükség van megfelelő felbontást adó genetikai markerek alkalmazására, amelyek de novo kifejlesztése azonban költséges. Ehelyett érdemes a már meglévő, közel rokon fajokra kifejlesztett "cross-species" markereket használni. A szerzők célja egy olyan mikroszatellita-markerkészlet kialakítása volt, amely eredményesen alkalmazható az Araformák (Arinae) alcsaládba tartozó fajokban. Ehhez tíz, kéksárga ara (Ara ararauna) és sárgaszárnyú ara (Ara macao) fajokra tervezett lokuszt teszteltek 12 papagájfaj 149 egyedén, amelyek többnyire polimorfnak bizonyultak, így a legtöbb megvizsgált fajban alkalmasak genotipizálásra. A tesztelt markereket alkalmazva megállapítható, hogy az A. ararauna, A. macao és A. chloropterus fajok magyarországi tenyészállományai nem beltenyésztettek.
Capacidade de arrasto do PIB agropecuário e sua influência sobre indicadores socioeconômicos municipais selecionados
Authors: Vegro Celso , Martins Vagner , Nakama Leonardo
Published: January 2025

It has become common to qualify agribusiness as the driver of our economy and one of the main components of the formation of the GDP of the Brazilian economy. The evolution of international indi-cators (HDI) contributed to the consolidation of this perspective. To test this hypothesis, we sought to segment the municipalities of São Paulo into quartiles of participation in the agricultural GDP (low, low average, high medium and high), comparing them with the average of 6 variables and 31 indicators for the 645 municipalities of São Paulo. By segmenting the municipalities based on the agriculture GDP and comparing them with the average of all the municipalities of São Paulo for the 6 variables, it was found that the municipalities with the lowest significance in agriculture, therefore higher in GDP of industry and services, had these same variables 5.36% better than the leaders in the GDP of agricul-ture, that is, those in which this variable comprises hight participation of the total wealth produced. Although the result is discreet, it denotes the inability of agriculture to improve indicators that repre-sent gains in the well-being of society as a whole.
Cardiología en la Práctica Clínica Tomo 8
Authors: Sánchez Pante Lizeth Jadira , Gaibor Mendoza Napoleon Marcos , Escobar Valverde Dayana Marieta , Cuñas Reyes María Alejandra
Published: January 2025

El libro Cardiología en la Práctica Clínica, Tomo 8 es una obra esencial que combina una sólida base teórica con un enfoque práctico y actualizado sobre el manejo de las enfermedades cardiovasculares. Diseñado para cardiólogos, internistas, médicos generales y residentes, este volumen ofrece herramientas valiosas para el diagnóstico y tratamiento eficaz en el entorno clínico.
ANALISIS BIAYA TERAPI PASIEN STROKE ISKEMIK PADA INSTALASI RAWAT INAP DI RSUD KOTA MADIUN
Authors: Hartati Shella Aprillia , Cahyaningrum Yanuar Ashari , Saputri Ika Sutra Perwirahayu Aji
Published: January 2025

Stroke merupakan kondisi gangguan neurolgis yang dapat berakibat kecacatan, dikarenakan penghambatan aliran darah yang menuju otak. Stroke disebut penyebab kematian ketiga setelah penyakit jantung dan kanker. Penelitian ini bertujuan untuk mengetahui gambaran karakteristik pasien, pola penggunaan obat yang banyak digunakan, biaya yang paling minimal serta efektifitas biaya pengobatan pada pasien stroke iskemik yang ada di RSUD Kota Madiun. Metode yang digunakan dalam penelitian ini adalah deskriptif dengan data retrospektif atas pertimbangan inklusi dan eksklusi. Pasien stroke iskemik di Instalasi Rawat Inap RSUD Kota Madiun memiliki gambaran penggunaan obat pada proses terapi, efektivitasnya dapat dilihat dari segi lama inap dan nilai Average Cost Effectiveness Ratio (ACER). Hasilnya menggambarkan penderita stroke didominasi laki – laki (90%) dan perempuan (10%) usia 51-60 tahun (29%). Obat yang paling banyak digunakan adalah antihipertensi bisoprolol dan amlodipine serta antiplatelet yaitu clopidogrel. Berdasarkan hasil penelitian dapat disimpulkan bahwa penggunaan candesartan lebih cost minimize dibandingkan dengan hydrochlorothiazide; clopidogrel adalah satu-satunya antiplatelet yang digunakan. Sedangkan penggunaan candesartan lebih cost effective dibandingkan furosemide pada kelompok antihipertensi; clopidogrel adalah satu-satunya antiplatelet yang digunakan
EFEKTIVITAS PENGGUNAAN OBAT KOMBINASI PADA PASIEN JANTUNG KORONER DI INSTALASI RAWAT JALAN RUMAH SAKIT X KOTA MADIUN
Authors: Armanda Erika Dyah , Febriana Laela , Irawati Adinda Dessi
Published: January 2025

Penyakit jantung koroner merupakan salah satu penyakit kardiovaskular yang disebabkan oleh adanya penyumbatan pada arteri koroner oleh tumpukan plak sehingga jantung kekurangan suplai darah dan oksigen. Prevalensi penyakit jantung koroner di wilayah Jawa Timur sebesar 1,3%. Tujuan penelitian ini adalah untuk mengetahui efektivitas penggunaan obat kombinasi pada pasien jantung koroner di instalasi rawat jalan di Rumah X Kota Madiun. Penelitian ini merupakan penelitian deskriptif dengan pengambilan data secara retrospektif yaitu mengambil data dari catatan rekam medis pasien dengan diagnosa penyakit jantung koroner di instalasi rawat jalan rumah sakit X Kota Madiun. Sampel yang digunakan pada penelitian ini adalah 83 pasien yang memenuhi kriteria inklusi yaitu pasien berusia 40-80 tahun dan pasien yang mendapat terapi kombinasi. Hasil penelitian berdasarkan jenis kelamin laki-laki 46% (38 pasien), perempuan 54% (45 pasien) dan berdasarkan usia 40-50 tahun 25% (21 pasien), 50-60 tahun 35% (29 pasien), 60-70 tahun 29% (24 pasien), 70-80 tahun 11% (19 pasien). Penggunaan obat kombinasi paling banyak adalah golongan antihipertensi + golongan statin + golongan antiplatelet 18% (15 pasien). Efektivitas penggunaan obat kombinasi pada pasien jantung koroner berdasarkan hasil cek laboratorium tekanan darah dan kolesterol total semakin membaik dengan target tekanan darah < 140/80mmHg dan kolesterol total < 200mg/dl. Kesimpulan pada penelitian ini berdasarkan jenis kelamin paling banyak perempuan 54% (45 pasien), usia 50-60 tahun 35% (29 pasien), efektivitas penggunaan obat kombinasi golongan antihipertensi + golongan statin + golongan antiplatelet terhadap hasil cek laboratorium sudah dinyatakan efektif
BANKING DISPUTE SETTLEMENT THROUGH ALTERNATIVE DISPUTE RESOLUTION: CLAIMS OF DANAMON BANK CUSTOMERS
Authors: Hartantin Sinarianda Kurnia
Published: January 2025

The development of banking business in Indonesia is managed by several parties, namely the banking sector itself which has a role as business actor and creditor in relation to its role in providing banking services to the public and other parties are debtors, namely consumers (customers) or users of banking services. However, in practice, both of them are often involved in disputes. Seeing these conditions, alternative efforts are needed in resolving disputes ADR (Alternative Dispute Resolution). The purpose of this research is to increase the author's knowledge and ability in analyzing banking dispute resolution rules and increase the author's knowledge and ability in analyzing ADR legal problems according to Law No. 30/1999 concerning on the Arbitration and Alternative Dispute Resolution. The results of this study indicate that settlement of banking disputes through Alternative Dispute Resolution (ADR) according to Law no. 30 of 1999 can be known from banking disputes, the factors that cause banking disputes and the legal basis for the settlement of banking disputes through Alternative Dispute Resolution (ADR). Additionally, it is known that banking dispute resolution procedures through Alternative Dispute Resolution (ADR) according to Law No. 30/1999 consists of the pre-mediation stage, the mediation stage and the mediation outcome stage.
Advanced Machine Learning Techniques for Predicting Z-Axis Belt Wear in Wafer Transfer Robots
Authors: Islam MD Saiful , Ji Young Kyoung , Kim Kihyun , Kim Hyo-Young
Published: January 2025

Wafer-transfer robots (WTRs) are critical to semiconductor manufacturing, where precision and efficiency are essential to ensure high production yields and minimize defects. A key challenge is the wear and degradation of the Z-axis belt, which can cause misalignments, operational disruptions, and costly downtimes. This study presents a data-driven approach leveraging machine learning to predict Z-axis belt wear, enhancing WTR reliability and performance. High-frequency acceleration sensor data from the Upper Blade axis of WTRs were utilized to develop and test various machine learning classification models, including K-Nearest Neighbors (KNN), Logistic Regression, Naive Bayes, Decision Tree, and Random Forest. The Random Forest model achieved the highest predictive accuracy at 99.8%, significantly surpassing traditional maintenance methods. These findings highlight the potential of machine learning to transform predictive maintenance in semiconductor manufacturing. By anticipating and preventing faults with exceptional precision, machine learning-based predictive maintenance enables more reliable and efficient operations, reducing costs and enhancing system longevity. This study not only demonstrates the effectiveness of machine learning in predictive maintenance but also sets the foundation for future applications aimed at optimizing the performance and lifespan of critical manufacturing equipment.
A Review on Deployable Structures in Space Industry
Authors: Seo Suyeon , Han Min-Woo
Published: January 2025

Deployable structures are essential for satellite systems, space habitats, and space exploration. These structures remain compact during launch and extend in space, effectively addressing the constraints of space transportation. This paper provides a comprehensive review of recent research developments in this field. It investigates fundamental design concepts that favor lightweight, high-strength, and high-efficiency structures, which are well-suited for space environments. The research explores innovative structures, such as deformable structures and rigid links, to enhance efficiency and durability in harsh space environments. Recent technical advances, including innovative deployment techniques and autonomous systems, are examined to emphasize their significance in increasing the overall efficiency of space operations. This review also highlights key challenges, such as ensuring dependability in severe conditions, while recommending high-potential research areas. Overall, this comprehensive review offers valuable insights for academics, engineers, and stakeholders aiming to enhance the performance and sustainability of space missions.
Scaling Up ESM2 Architectures for Long Protein Sequences Analysis: Long and Quantized Approaches
Authors: Oliveira Gabriel Bianchin de , Pedrini Helio , Dias Zanoni
Published: January 2025

Various approaches utilizing Transformer architectures have achieved state-of-the-art results in Natural Language Processing (NLP). Based on this success, numerous architectures have been proposed for other types of data, such as in biology, particularly for protein sequences. Notably among these are the ESM2 architectures, pre-trained on billions of proteins, which form the basis of various state-of-the-art approaches in the field. However, the ESM2 architectures have a limitation regarding input size, restricting it to 1,022 amino acids, which necessitates the use of preprocessing techniques to handle sequences longer than this limit. In this paper, we present the long and quantized versions of the ESM2 architectures, doubling the input size limit to 2,048 amino acids.
Evaluating the Generalization of Neural Network-Based Pan-Cancer Classification Models for Cohort-Specific Predictions
Authors: Fontanari Thomas , Recamonde-Mendoza Mariana
Published: January 2025

This study develops and evaluates pan-cancer (PC) models for cohort-specific (CS) predictions using neural networks (NNs). We adopt a dual approach, including a method inspired by few-shot learning, aiming at improving the models’ ability to distinguish between normal and tumorous tissues across diverse cohorts. The first approach trains a NN with comprehensive PC datasets containing 16 cancer types, comparing it against CS models on a target cohort, while the second analyzes whether PC models could generalize to smaller and unseen cohorts by training on 15 cohorts and evaluating on the excluded cohort. Our experiments show that PC models generally outperform CS models, even with limited sample sizes and class imbalances. Moreover, the few-shot approach successfully generalizes to other cancer types, highlighting its potential to advance personalized cancer diagnosis and treatment.
Comparison of computational fusion detection methods for short-read RNA-seq data
Authors: Oliveira Lucas P. , Rigatto Victor , Migita Natacha A. , Yunes José A. , Meidanis João
Published: January 2025

Gene fusions are abnormal genetic events often correlated with oncogenesis. Hence, detecting them from RNA-seq data using bioinformatics methods is an important task in cancer research. Several tools have been developed for this task, but current benchmarks are inconclusive regarding their accuracy and are difficult to reproduce with new data. In this paper, we propose a computational pipeline that gathers fusion detection tools and compares them using standard classification metrics. It can also be used as an ensemble method to detect gene fusions using several tools. This pipeline was applied to simulated and real data, and supplements current benchmarks in the literature towards aiding the users in choosing the tools for their analyses.
Optimized Neural Networks for Breast Cancer Classification Using Gene Expression Data
Authors: Valentin Ana Beatriz Miranda , Bressan Glaucia Maria , Canuto Junior Leonardo , Lizzi Elisângela Ap. da Silva
Published: January 2025

This study aims to develop and evaluate optimized neural networks, including Multilayer Perceptrons (MLP) and Convolutional Neural Networks (CNN), by employing deep learning techniques to classify breast cancer subtypes, based on gene expression data. By implementing different neural network architectures and optimization strategies, this research seeks to determine the accuracy and efficiency of these classification methods. Data is sourced from The Cancer Genome Atlas (TCGA) repository and undergoes preprocessing, including dimensionality reduction, to prepare it for analysis. The contribution is to enhance diagnostic tools, as well as assess the predictive performance of the approaches. The comparison of networks performance presents a promising pathway to enhancing the precision of medical diagnostics and personalize treatment strategies in breast cancer.
Squares in Cycles: Prediction of G-Quadruplexes in Circular RNA Secondary Stuctures
Authors: Lorenz Ronny , Stadler Peter F.
Published: January 2025

RNA secondary structures, determined by non-crossing base pairs, capture many of the salient features of RNA molecules, explain the free energy of structure formation very accurately, and can be computed efficiently given the sequence information only. G-quadruplexes are compact local structures that have been shown to have important biological function and can be integrated into secondary structure prediction. In recent years circular RNAs have gained considerable interest as a biological relevant subclass of RNAs. While algorithms and tools are available that extend secondary structure prediction from linear to circular RNAs, no support is provided for G-quadruplexes. In this contribution we close this gap and describe how the ViennaRNA package has been extended to include this increasingly relevant case.
COCαDA - Large-Scale Protein Interatomic Contact Cutoff Optimization by Cα Distance Matrices
Authors: Lemos Rafael P. , Mariano Diego , Silveira Sabrina A. , Melo-Minardi Raquel C. de
Published: January 2025

Contacts, defined as interand intramolecular interactions predicted computationally, are typically detected using Euclidean distance and atom types. However, traditional methods can be computationally expensive and limit scalability. We introduce COCαDA (Contact Optimization by Cα Distance Analysis), a novel method that incorporates domain knowledge of amino acids to optimize distance cutoffs, simplifying implementation and enhancing efficiency. COCαDA outperforms traditional methods such as all-against-all, static cutoff (SC), and Biopython’s NeighborSearch (NS), averaging 2.5x faster than SC and 6x faster than NS. COCαDA is well-suited for exploratory and large-scale analyses and is freely available at https://github.com/LBS-UFMG/COCaDA.
Heuristics based on Adjacency Graph Packing for DCJ Distance Considering Intergenic Regions
Authors: Siqueira Gabriel , Alexandrino Alexsandro Oliveira , Oliveira Andre Rodrigues , Dias Zanoni
Published: January 2025

In this work, we explore heuristics for the Adjacency Graph Packing problem, which can be applied to the Double Cut and Join (DCJ) Distance Problem. The DCJ is a rearrangement operation and the distance problem considering it is a well established method for genome comparison. Our heuristics will use the structure called adjacency graph adapted to include information about intergenic regions, multiple copies of genes in the genomes, and multiple circular or linear chromosomes. The only required property from the genomes is that it must be possible to turn one into the other with DCJ operations. We propose one greedy heuristic and one heuristic based on Genetic Algorithms. Our experimental tests in artificial genomes show that the use of heuristics is capable of finding good results that are superior to a simpler random strategy.
AutoBioLearn: An Automated Data Science Framework for eXplainable Analyses (XAI) of Clinical Datasets
Authors: Moreira Lucas P. B. , Kuniyoshi Maria L. G. , Wicik Zofia , Martins-Jr David C. , Brentani Helena , Simões Sérgio N.
Published: January 2025

With the increasing volume of biological and medical data, the application of efficient data science techniques has become essential for analysis. However, healthcare data scientists often need to integrate and analyze multiple datasets simultaneously. Although these analyses share similarities, they require adjustments to various parameters, delaying development and further hindering knowledge discovery. In this paper, we propose a framework that encapsulates all stages of typical data science analyses, from data pre-processing, execution, and evaluation to the interpretation of models. In addition, the framework includes XAI analyses. In tests involving a clinical dataset, the framework achieved a reduction of 92% in lines of code.
Predicting Mutation-Driven Changes in the SARS-CoV-2 Spike Protein Using Structural Signatures and Neural Networks
Authors: Moreira Eduardo U. M. , Morais Leandro , Araujo Sheila C. , Lemos Rafael P. , Bastos Ana Luísa A. , Lima Alessandra , Mariano Diego , Melo-Minardi Raquel C. de
Published: January 2025

COVID-19, caused by the SARS-CoV-2 virus, has led to a global pandemic since 2020, resulting in nearly 7 million deaths. The virus’s rapid spread is due to more transmissible variants, many with spike glycoprotein mutations, which are key for cell invasion and a vaccine target. Understanding these mutations is crucial for preventing more dangerous variants. This study developed a computational method to predict the impact of mutations on the spike protein. Using data from 23,472 mutations, molecular modeling, graph-based structural signatures, and a machine-learning approach based on neural networks, the model analyzed 318 proteins, showing the methodology’s effectiveness in assessing the potential of new variants.
Teaching bioinformatics programming in high school: a case report
Authors: Costa Helena Lott , Maia Giovana C. F. , Chaves Lucas G. S. , Mariano Diego , Melo-Minardi Raquel C. de
Published: January 2025

Bioinformatics requires professionals with knowledge in computing and biological sciences, but teaching it to young people remains a challenge. This article reports on a programming course focused on bioinformatics for high school students. The pilot project, launched in 2024 in Belo Horizonte, Brazil, aimed to integrate programming and Molecular Biology. Using Inquiry-Based Learning (IBL) and gamification, the course engaged students effectively. Activities were divided into quarterly stages, teaching programming through Scratch and projects involving Molecular Biology, such as DNA transcription. The initiative successfully motivated and engaged students in learning Molecular Biology. We hope that the strategies presented here can be adopted by teachers and help inspire a new generation of bioinformaticians.
Navigating Identity and Belonging: The Role of Intercultural Education in Shaping Global Citizens
Authors: Hashemi Ali
Published: January 2025

This paper discusses the importance of intercultural education in the formation of global citizens in an increasingly integrated world. It explains how intercultural education fosters self-awareness, empathy, and multicultural identity in students. Additionally, it examines the historical perspective of intercultural education, its basic assumptions, and the significant breakthroughs that have shaped its development. Intercultural education, by creating inclusive environments and enhancing social cohesion for marginalized students, can prepare all learners to contribute effectively and positively to a diverse and integrated world. The discussion addresses the definition of global citizenship and outlines important skills and competencies needed through case examples that demonstrate the impact of intercultural education on student development. The challenges related to implementing an intercultural education approach will also be discussed, including resistance to change, resource constraints, and the lack of proper teacher training. The paper will explore opportunities for improvement, such as supporting professional development, integrating intercultural content across the curriculum, utilizing technology, and fostering community and international collaboration.
Perspective Chapter: An Exploration of Provider Access, Cost and Quality Impacting the Total Cost of Healthcare for Employers in the United States
Authors: J. Ozminkowski Ronald , M. Smith Wendy , Lee Weiyee , Salinger Phil , Jofre Lora Pedro , Young Brandon , Gupta Sandip
Published: January 2025

Many factors can positively or negatively influence access to healthcare, depending on whether or how they are managed. Our new Health Equity and Affordability Tool (HEAT) leverages 59 machine learning models to show employers and other health insurance carriers how access problems relate to individuals’ healthcare affordability and whether they reside in areas with shortages of primary care and mental health providers. HEAT also shows how access relates to local healthcare provider costs and quality of care. The insights provided then illustrate how access to less costly and higher quality care can be enhanced. For this chapter, HEAT was used to illustrate the above for an employer client and how that client’s characteristics compared to other clients in the same industry. Results showed that 23% of the client’s insured members spend more than 10% of their income in healthcare. Also, two-thirds of insured employees live in areas with high shortages of mental health providers. Affordability varied significantly by gender, and quality of care differed greatly across the region. Remedies to these problems might include steerage to lower cost providers, offering virtual care in areas of shortage, and providing self-service tools to find lower cost and higher quality providers.
Antiviral Drugs for Seasonal Influenza for 2024-2025
Authors:   Editors from The Medical Letter
Published: January 2025

Influenza is generally a self-limited illness, but pneumonia, respiratory failure, and death can occur, especially in persons at increased risk for influenza complications (see Table 1). Updated information on influenza activity and antiviral resistance is available from the CDC at cdc.gov/flu.
Givinostat (Duvyzat) for Duchenne Muscular Dystrophy
Authors:   Editors from The Medical Letter
Published: January 2025

Givinostat (Duvyzat – Italfarmaco), an oral histone deacetylase inhibitor, has been approved by the FDA for treatment of patients ≥6 years old with Duchenne muscular dystrophy (DMD), regardless of the DMD-causing mutation. It is the first nonsteroidal drug to be approved for this indication. The oral corticosteroids deflazacort (Emflaza) and vamorolone (Agamree) are also approved for treatment of patients with all genetic variants of DMD.
Clonidine Oral Suspension (Onyda XR) for ADHD
Authors:   Editors from The Medical Letter
Published: January 2025

The FDA has approved Onyda XR (Tris), an extended-release (ER) oral suspension formulation of the alpha2-adrenergic agonist clonidine, for use as monotherapy or as an adjunct to stimulant therapy for treatment of attention-deficit/hyperactivity disorder (ADHD) in children ≥6 years old. Clonidine ER tablets have been available for years for treatment of ADHD in children 6-17 years old.
In Brief: Obecabtagene Autoleucel (Aucatzyl) - Another CAR-T Cell Immunotherapy for ALL
Authors:   Editors from The Medical Letter
Published: January 2025

Obecabtagene autoleucel (Aucatzyl – Autolus), a CD19-directed genetically modified autologous T cell immunotherapy, has been approved by the FDA for treatment of relapsed or refractory B-cell precursor acute lymphoblastic leukemia (ALL) in adults. The CAR T-cell immunotherapy products tisagenlecleucel (Kymriah) and brexucabtagene auto-leucel (Tecartus) were approved earlier for the same indication.
Towards Non-Appropriative Relating
Authors: Lisowska Urszula ,   Center for Environmental Philosophy, The University of North Texas
Published: January 2025

The paper brings together Steven Vogel’s concept of the environment and the category of the world in Hannah Arendt’s and Malcom Ferdinand’s interpretations. First, the similarities between the concepts are shown: they both refer to the networks of things and relationships and, as such, emphasize the political dimension of ecological concerns. Second, it is argued Vogel’s discursive model of politics can be enriched with the aid of the model of non-appropriative relating implied by the concept of the world. Two amendments to Vogel’s project are analyzed. It is shown that non-appropriative relating provides additional support for the central value of Vogel’s approach, i.e., non-domination. In the next step, it is argued the model offers insights into the problem that Vogel considers important but impossible to solve, namely—the question of politically relating to non-human beings.
The Psycho-Neural Connectivity
Authors: Klein Adrian
Published: January 2025

In this paper we follow the pathway sentient informational reality couples to our well-known mass/matter/energy world, in a well-integrated inter-dimensional process. Pure information in its pre-energetic aspect couples to subquantum (SQ) units and combinatorials of increasing complexity, able to transgress the ZPE (Zero-point energy) barrier between nonlocal information fields and local quantum processes, being stored and vehiculated by pre-quantum subtle energy variants. The link between these ontologically different domains is provided by the Compton-radius vortex configurations operating at the level of sub-quarks across all the periodic table of elements. Life as inherent condition of manifestation results as the conscious aspect of matter. The fundamental coupling mechanism between non-local and material regimes is supported both by compelling evidence supplied in bio-energetic physics and by recent mathematical proves.
Interactions between the brain, the biofields, and the physical
Authors: Klein Adrian , Boyd Robert Neil
Published: January 2025

Before addressing the physical object of highest complexity in nature, the Brain, and its consciousness-related functional correlates, let’s remember some basic assumptions regarding biosystems as a whole. We expect to recognize such intricate cortico-informational integration mechanisms, as being the pinnacle of the representations we have been investigating. Obeying the holographic distribution principle which we have followed all along our analytic path, we have to keep in mind that in order to get an incremental improvement in the accuracy of our Brain-related understandings, its overall efficiency regulation must be associated with the biofield. This association is of an uttermost subtlety and complexity, since the biofield actively interacts with neurocybernetic processes, via Quantum and Subquantum connectivity.
Digital Marketing Strategies of Vivo for the Disabled Community: E-Waste Management, Accessible Features, and Applications
Authors:   LSPR Institute of Communication & Business, Jakarta, Indonesia, Hidayat Irwana , Kurniawan Reza ,   LSPR Institute of Communication & Business, Jakarta, Indonesia, Rheksa Stefanny Indah ,   LSPR Institute of Communication & Business, Jakarta, Indonesia
Published: January 2025

This research aims to explore vivo's sustainable marketing strategy that focuses on inclusivity and e-waste management. Using a qualitative approach, data was collected through in-depth interviews with influencers and content analysis of vivo Indonesia's Instagram. The results showed that vivo's marketing strategy involving collaboration with influencers is effective in building brand image. However, challenges in e-waste management and inclusivity still need attention. Key recommendations include educating audiences about e-waste management through the 'Trade-in for Tomorrow' program and the production of recycled phones. In addition, vivo is advised to offer products that are friendly to people with disabilities, such as Talkback and Inverse Color features for visually impaired users. The implementation of this strategy is expected to increase sales and strengthen vivo's image as a company that cares about the environment and inclusivity. A sustainable marketing strategy that includes education on e-waste and increased product inclusiveness will make a positive contribution to the environment and society, while strengthening vivo's position in the market.
ANALISIS MANAJEMEN STRATEGI BADAN AMIL ZAKAT NASIONAL (BAZNAS) KABUPATEN LAMONGAN
Authors: Fajari Yanto Wahyu Tri , Purwanti Ika , Abadi Muhammad Dzikri
Published: January 2025

Penelitian ini bertujuan untuk menganalisis manajemen strategi yang diterapkan oleh Badan Amil Zakat Nasional (BAZNAS) Kabupaten Lamongan dalam mengoptimalkan penghimpunan dan pendistribusian zakat. Penelitian ini menggunakan pendekatan deskriptif kualitatif. Data dikumpulkan melalui wawancara, observasi, dan dokumentasi. Analisis data dilakukan berdasarkan model interaktif Miles dan Huberman (2014), yang meliputi empat tahap utama yaitu pengumpulan data, reduksi data, penyajian data, dan penarikan kesimpulan. Hasil penelitian menunjukkan bahwa manajemen strategi BAZNAS Lamongan terdiri dari tiga proses utama yakni: 1) formulasi strategi terdiri dari visi, misi, nilai, prinsip, dan tata tertib; 2) implementasi strategi dilakukan dengan membuat program-program di bidang pengumpulan dan pendistribusian zakat, serta menetapkan prosedur dan anggaran yang dibutuhkan, dan 3) evaluasi strategi dilakukan secara berkala yang meliputi evaluasi internal di setiap bidang dan evaluasi menyeluruh. Penelitian ini memberikan rekomendasi untuk pengembangan manajemen strategi yang lebih efektif, termasuk peningkatan teknologi informasi, pelatihan dan pengembangan kapasitas amil, serta edukasi dan sosialisasi yang lebih intensif. Dengan demikian, BAZNAS diharapkan dapat meningkatkan peran dan kontribusinya dalam pengentasan kemiskinan di Kabupaten Lamongan.
Studying How Psychological Factors Influence Conflicts and Peacebuilding Efforts within Societies
Authors: Ijaz Raheem
Published: January 2025

This study focuses on the psychological factors that affect the escalation of conflict and the efforts towards peacebuilding, targeting government officials in Khyber Pakhtunkhwa (KPK) and Punjab. The research adopted a quantitative research design to investigate the relationships among emotions, cognitive biases, social identity dynamics, and perceptions of leadership within the contexts of conflict and peacebuilding. It made use of structured questionnaires that featured a Likert scale to gather data collected from a sample of 250 respondents. The use of simple random sampling ensured that the study sample was statistically significant and helped reduce biases. The statistical techniques applied were correlation analysis with R-values ranging from 0.65 to 0.80, p < 0.05; regression analysis with β-values from 0.68 to 0.76; and post-hoc tests to analyze the data and test the research hypotheses. The findings highlight significant relationships between psychological factors and conflict dynamics, demonstrating the impact of emotions, cognitive biases, and leadership strategies on conflict escalation and peacebuilding success. These results offer valuable insights for enhancing peace building strategies in conflict-prone regions.
El patrimonio cultural del cantón La Maná como atractivo turístico: análisis de su valor y gestión
Authors: Suarez Vera Katherin Nallely , Calvopiña León César Enrique
Published: January 2025

El presente artículo asumió como objetivo analizar el valor del patrimonio cultural del cantón La Maná y la gestión implementada para su conservación y promoción como atractivo turístico. La investigación se sustentó un enfoque cualitativo y un estudio documental, apoyado del método inductivo y la técnica de análisis documental, a partir de la revisión de documentos portadores de información valiosa para el estudio y la obtención de los resultados que permitieron concluir que: La Maná tiene un gran potencial turístico avalado por su patrimonio cultural, pero necesita superar algunas debilidades en cuanto a infraestructura, servicios, accesibilidad y promoción para consolidarse como un destino turístico de primer nivel. La inversión en estos aspectos, junto con la participación activa de la comunidad, permitirá al Cantón aprovechar al máximo sus atractivos turísticos y ofrecer una experiencia turística auténtica y memorable para los visitantes.
König Sauls Regierung. Wie falscher Regierung in der Bibel begegnet wird
Authors: Kappeler Max
Published: January 2025

Dieser Text wurde von Max Kappeler bereits 1948 verfasst, in einer Zeit, in der sich das Problem falscher Regierung in Bezug auf das autoritäre Dogma der Christian Science Kirche stellte. Es interpretiert das Königtum Sauls und stellt es dem Davids gegenüber. Die wesentliche Botschaft ist bis heute aktuell. Stellt sich die Frage nach richtiger und falscher Regierung doch immer wieder in vielerlei Hinsicht, heute ganz besonders zum Beispiel bei der Veränderung des Klimas, dem Terrorismus oder den derzeitigen Kriegen.
Význam liniových pásů dřevinné vegetace v zemědělské krajině pro vybrané druhy savců
Authors: Divišová Markéta , Šipoš Jan , Dvořáková Denisa , Suchomel Josef
Published: January 2025

The aim of the paper is to evaluate the significance of linear strips of woody vegetation (biocorridors) in the agricultural landscape for the populations of mammals. Data on their occurrence were obtained using camera traps that were installed in 14 biocorridors in selected locations in South Moravia (Czech Republic). Data collection took place from October 2020 to June 2022. A total of 40 camera traps were used, which captured over 49,000 images of 16 species. The largest percentage was represented by roe deer (57%), followed by European hare (14%) and fallow deer (11%). Of the 16 species mentioned, 10 were found mainly at night. With the onset of winter (December–February), the nocturnal occurrence of the species in the biocorridors gradually decreased and increased in the morning hours. The phase of the day, the season, the character of the vegetation, the size and shading of the biocorridor had a significant influence on the spatiotemporal occurrence of mammals. Biocorridors proved to be an important landscape element especially in terms of the occurrence of smaller predators and common habitat generalists such as roe deer and hare. Both species used biocorridors very intensively, so can significantly support the survival of their populations in agricultural landscapes.
Coasts of Vojvodina's cities as a basis for developing river cultural tourism
Authors: Antonić Branislav
Published: January 2025

Considering its area, the northern Serbian province of Vojvodina has great potential for the development of cultural tourism on its three large navigable rivers: the Danube, the Sava and the Tisa. Among these the Danube stands out in these matters; as the second longest European river, it represents a waterway and tourist route of a great importance for the entire continent. Since the tourist ports and marinas as the hubs of river cultural tourism are connected to larger settlements, then cities in Vojvodina with waterfronts on these big rivers are crucial for its development. However, in addition to the aforementioned tourist infrastructure, it is essential to identify and promote local attractions to support this form of tourism. Current tourist offerings and experiences in Danubian cities highlight two primary attractions: old city cores with notable buildings and fortresses. However, the position and genesis of cities in Vojvodina on three big rivers in the province vary. The goal of this research is to scientifically explore their waterfronts and possible ways of their sustainable promotion through the development of river cultural tourism.
The use of bricks in the industrial heritage of Vojvodina
Authors: Draganić Anica , Silađi Maria
Published: January 2025

In the late 19th century, the first industrial brick and tile production plant was established in Velika Kikinda. This marked a shift from using traditional materials such as mud and adobe to bricks in the Torontl and Bcs-Bodrog counties. The paper provides an overview of the brickmaking history in these regions, focusing on the factories of the influential Bohn brothers. It further discusses brick use in shaping industrial architecture at the beginning of the 20th century. Bricks were not only used as basic building materials but also to design and emphasize various facade elements including cornices, plinths, and pediments. The paper includes a detailed analysis of industrial complexes built in the early 20th century, such as Viktor Elek's sugar factory and Lazar Dunđerski's brewery in Veliki Bečkerek (modern-day Zrenjanin). Their facades are characterized by rhythmicity, artistic expression, harmony, and reduced decorativeness achieved through the use of facade bricks.
Distribution of trace elements in forest soils in the area of Northern Serbia
Authors: Nikolić-Jokanović Vesna , Jokanović Dušan , Živanović Kristina , Ilić Milica , Antanasijević Nevena , Šoškić Tihomir
Published: January 2025

The research was conducted in the area of Northern Serbia. The lowland hygrophilous forests of Gornji Srem where pedunculate oak is the dominant tree species were studied. In the paper was investigated the content of essential and non-essential heavy metals (Cu, Zn, As, Mn, Co, Pb, Ni, Cd) on two different soil types: hydromorphic (fluvisol) and automorphic (chernozem). Three experimental plots were analyzed on each soil type. Soil loading with heavy metals was studied by soil horizons. Based on the obtained results, it was established that the concentrations of all elements are within the allowed concentrations, except for nickel (Ni), whose values on some experimental plots and horizons exceed the maximum allowed concentrations. Content of all investigated elements are higher on fluvisol, except for As, whose amount is similar on both soil types. The obtained results indicate that the loading of heavy metals in both soil types is within the allowed limits and there is no significant negative impact on the development and production characteristics of the forest ecosystems located in researched area.
Math Phobia? Or School-Math Phobia?
Authors: Turrou Angela Chan
Published: January 2025

Ear to the Ground features voices from several corners of the mathematics education world.
Nurturing Talent With Non-Curricular Tasks
Authors: Bigelow Amy
Published: January 2025

This department provides a space for current and past PK-12 teachers of mathematics to connect with other teachers of mathematics through their stories that lend personal and professional support.
Review of Evidence-Based Clinical and Experimental Research on the Use of Acupuncture and Chinese Herbal Medicine for the Treatment or Adjunct Treatment of Cancer
Authors: Xie Huisheng , Hershey Betsy , Ma Aituan
Published: January 2025

Traditional Chinese Medicine includes acupuncture and herbal medicine. Clinical evidence indicates that acupuncture and herbal medicine can be beneficial in the treatment of cancers in people and animals. Acupuncture reduced pain or discomfort, promoted quality of life, or reduced drug-associated side-effects in cancer patients. Acupuncture also promoted the activities of humoral and cellular immunity as well as natural killer (NK) cell activity. It improved patient survival and quality of life as an adjunct with transcatheter arterial chemoembolization (TACE) for the treatment of hepatocellular carcinoma and unresectable hepatocellular carcinoma, Chinese herbals improved patient survival time, quality of life, alleviation of symptoms, and decreased marrow toxicity. Some herbs together with conventional protocols (chemotherapy or surgery) demonstrated a promising outcome in lymphoma and breast cancer in both humans and dogs. The possible mechanisms of herbal anti-cancer effects include: inhibition of the metabolism of tumor cells, alteration of tumor cell membranes and information conduction, inhibition of tumor cell proliferation, induction of tumor cell apoptosis, enhancement of immune function and anticancer capabilities, inhibition of neovascularization to prevent tumor growth and metastasis, prevention of metastasis through improvement of the physical and chemical properties of blood cells, reversal of drug resistance and enhancement of the effectiveness of chemotherapy.
Long-term Follow-up of Canine Mammary Gland Neoplasia in Eight Dogs Treated with Surgery and a New Chinese Herbal Formula
Authors: Wen Jiu , Johnston Karen
Published: January 2025

Eight dogs with histologically confirmed mammary adenocarcinoma were enrolled in a study to determine if an herbal formula, Mammosol (a proprietary blend of 28 herbal ingredients), could prolong survival times compared to two previous reports in dogs having surgical excision alone or surgical excision in combination with chemotherapy. Dogs were excluded from the study if they had had chemotherapy or radiation therapy before, during or after the herbal supplement, in order to determine if the supplement alone would extend survival times. All dogs had surgical excision of their cancer and no evidence of metastasis on thoracic radiographs. All dog were administered 0.022 gm/kg of Mammosol twice daily for 2 years and monitored with thoracic radiographs and physical examinations at 3, 6, 9, 12, 18 and 24 months post surgery. Serum biochemical tests for liver and kidney function were evaluated during the study period to monitor for unexpected toxicity. In this study, 7 of the 8 dogs lived greater than 2 years. The dog that lived less than 2 years only received half the dose of herbs due to improper caretaker compliance. Survival rates were significantly increased in the dogs that had surgical excision and Mammosol as compared to previously published results of dogs that had surgery alone (p value 0.001) and dogs with surgery and chemotherapy (p value 0.05) using the discrete Bonferroni method. Further investigations of Chinese herbal treatments for mammary cancer therapy are warranted.
Unveiling the Online Classroom Management in Higher Education
Authors: Amuthenu Silohenda
Published: January 2025

This study addresses the lack of understanding surrounding effective management of online classrooms in the context of the increasing shift towards online learning in education. The research focuses on identifying the challenges faced by educators in managing virtual classrooms and suggest suitable classroom management strategies for online settings. Employing a qualitative approach, the study conducts a systematic review of 20 peer-reviewed papers obtained through EBCOST data base. The results indicate that educators encounter both familiar challenges in online environments, similar to face-to-face settings, as well as distinct challenges unique to the online medium. These specific challenges include issues like unpreparedness to class such as unstable internet connectivity, unmuted microphones, students being late to virtual classes, improper use of web cameras, and inappropriate attire and less interactions. The study also highlights practical strategies for managing online classrooms, including setting classroom rules, effective communication with students, and skillfully managing asynchronous discussions and online teamwork. Based on the results, the study emphasizes the necessity for professional development in online education to enhance online classroom management practices.
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Authors: JIOM Nepal
Published: January 2025

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