bluuebunny/crossref_metadata_2025 huggingface dataset:
PSMA7 is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that proteasome 20S subunit alpha 7, encoded by PSMA7, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. PSMA7 mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of PSMA7 in primary tumors was correlated with patient overall, distant metastasis-free and recurrence-free survival. Modulation of PSMA7 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
Introduction to Organizational Behaviour
Authors: Yusnia
Published: September 2023

Lingkup Perilaku OrganisasiPerilaku adalah tindakan atau perbuatan baik yang dilakukan olehseseorang/tim/organisasi yang dimana perbuatan mereka dapat diamati danbahkan dipelajari.Orang -> ketika berinteraksi dalam jangka waktu tertentu akan mengalami perbedaan. Namun, ketika sering berinteraksi dalam jangka waktu yang panjang maka akan mengenal kepribadian mereka seperti apa.Tim & Organisasi -> ketika digabungkan dalam suatu tim atau organisasi, kita akan mengamati anggota didalamnya seperi apa lalu kita akan mempelajarinya, maka kita akan menentukan sikap kita harus seperti apa.Organisasi adalah kelompok orang yang salingberinteraksi, bekerja sama, melakukan aktivitas yang berkaitan satu sama lain untuk mencapai berbagaitujuan.Perilaku Organisasi adalah kajian tentang apa yang orang pikirkan, rasakan, dan lakukan di dalam dan sekitar organisasi.PO -> memotret perilaku seseorang baik didalam organisasi maupun di luar organisasi.
RSPH10B is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that radial spoke head 10 homolog B, encoded by RSPH10B, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. RSPH10B mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Modulation of RSPH10B expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
ERBB2 is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that erb-b2 receptor tyrosine kinase 2, encoded by ERBB2, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. ERBB2 mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of ERBB2 in primary tumors, however, was not significantly correlated with patient overall, distant metastasis-free or recurrence-free survival. Modulation of ERBB2 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
P4HA1 is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that prolyl 4-hydroxylase subunit alpha 1, encoded by P4HA1, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. P4HA1 mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of P4HA1 in primary tumors was correlated with overall, distant metastasis-free and recurrence-free survival. Modulation of P4HA1 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
ZNF623 is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that zinc finger protein 623, encoded by ZNF623, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. ZNF623 mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of ZNF623 in primary tumors was correlated with patient distant metastasis-free and recurrence-free survival. Modulation of ZNF623 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
On the Gauss-Bonnet-Chern theorem in geometrical optics
Authors: Hadi Miftachul
Published: September 2023

We formulate the Gauss-Bonnet-Chern theorem in geometrical optics using Pfaffian. We found that the scalar refractive index could take a role as a topological invariant.
PAICS is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that phosphoribosylaminoimidazole carboxylase and phosphoribosylaminoimidazolesuccinocarboxamide , encoded by PAICS, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. PAICS mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of PAICS in primary tumors was correlated with overall and recurrence-free survival. Modulation of PAICS expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
Postoperative exercise training in patients with colorectal liver metastases undergoing surgery (ELMA): a protocol for a randomized controlled trial
Authors: Thomsen Simon Nørskov , Simonsen Casper , Christensen Jesper Frank
Published: September 2023

This is a protocol for a randomized controlled trial.
MORN2 is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that MORN repeat-containing 2, encoded by MORN2, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. MORN2 mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of MORN2 in primary tumors was correlated with patient overall survival. Modulation of MORN2 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
UQCRQ is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that ubiquinol-cytochrome c reductase complex III subunit VII, encoded by UQCRQ, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. UQCRQ mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of UQCRQ in primary tumors was correlated with patient distant metastasis-free and recurrence-free survival. Modulation of UQCRQ expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
HNRNPUL2-BSCL2 is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found a HNRNPUL2-BSCL2 readthrough transcript among those whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. HNRNPUL2-BSCL2 mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Modulation of HNRNPUL2-BSCL2 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
MAPK4 is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that mitogen-activated protein kinase 4, encoded by MAPK4, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. MAPK4 mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of MAPK4 in primary tumors was correlated with patient recurrence-free survival. Modulation of MAPK4 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
“Brain Behind The screen”
Authors: Deshpande Trupti , Kate Sanskruti , Zunjar Vaishnavi , Bhore Saurav , Kenith Aranha
Published: September 2023

Introduction: On one hand, virtual social interactions may stimulate serotonin release and contribute to feelings of connection and social validation. On the other hand, excessive use of social media can lead to social comparison, cyberbullying, and feelings of inadequacy, which are associated with lowered serotonin levels and increased risk of mood disorders.Methods: A survey questionnaire containing the questions about qualitative and quantitative effect of social media on happy hormones was studied by using google form.Result: This review also delves into the underlying neural mechanisms, such as the role of the mesolimbic dopamine pathway and the impact of disrupted circadian rhythms due to extended screen time.Conclusion: Social media offer unprecedented opportunities for connectivity and self-expression, their effects on Happy Hormones are complex and multifaceted.
Drawing on the idea of thinking in levels to revisit an analytical framework for mechanistic explanations across science domains
Authors: de Andrade Vanessa
Published: September 2023

From the many forms that scientific explanations may take, mechanistic explanations have been regarded as valuable in science and science education for their explanatory power. As a result, several frameworks have been proposed to analyse and characterise students’ mechanistic explanations, particularly in chemistry and biology. However, there is a lack of research on students’ mechanistic explanations in other scientific domains, such as physics and particularly astronomy. To address this gap, I revisited an existing analytical framework originally developed for chemistry and refined it to enable the characterisation of students’ mechanistic explanations across different scientific domains. Here, I present the refined analytical framework, which allows for the characterisation of mechanistic explanations at various levels of complexity. The framework enables the characterisation of explanations across scientific domains in progressive explanatory levels, from accounts that describe what happened at the phenomenon level to accounts that describe the underlying mechanisms behind a given phenomenon.
ARFGEF3 is differentially expressed in central nervous system metastasis in human breast cancer.
Authors: Mamoor Shahan
Published: September 2023

Metastasis to the brain occurs in a significant fraction of patients with breast cancer (1-3). We mined published RNA-sequencing and microarray data (4, 5) to compare primary and metastatic tumor transcriptomes for the discovery of genes associated with brain metastasis in humans with metastatic breast cancer. We found that ARFGEF family member 3, encoded by ARFGEF3, was among the genes whose expression was most different in the brain metastases of patients with metastatic breast cancer as compared to primary tumors of the breast. ARFGEF3 mRNA was present at increased quantities in brain metastatic tissues as compared to primary tumors of the breast. Expression of ARFGEF3 in primary tumors, however, was not correlated with patient survival outcomes in human breast cancer. Modulation of ARFGEF3 expression may be relevant to the biology by which tumor cells metastasize from the breast to the brain in humans with metastatic breast cancer.
Client conduct and inexperienced purchases
Authors: Egon Kaledio , EUGENE RUSSELL , Real
Published: September 2023

The intersection of consumer behavior and green purchases has emerged as a critical focal point in contemporary society. As the global community grapples with pressing environmental challenges, consumers are increasingly inclined to align their purchasing decisions with sustainability and environmental responsibility. This paradigm shift in consumer behavior signifies a pivotal moment in the marketplace, prompting businesses to adapt and respond to evolving consumer preferences.1.1 Background and ContextThe background and context of this study lie in the evolving dynamics of consumerism and sustainability. The early 21st century witnessed a surge in environmental consciousness, driven by concerns about climate change, resource depletion, and pollution. Consequently, consumers are now more aware of the environmental impact of their choices. This heightened awareness has given rise to the concept of "green purchases" or environmentally responsible buying.
ENCORE. A practical implementation to improve reproducibility and transparency of computational research.
Authors: van Kampen Antoine , Mahamune Utkarsh , Jongejan Aldo , van Schaik Barbera , Balashova Dasha , Lashgari Danial , Pras-Raves Mia , Wever Eric , Dane Adrie , Valiente Rodrigo Garcia , Moerland Perry
Published: September 2023

Outcomes of computational approaches are occasionally difficult to reproduce despite ongoing (open science) initiatives that resulted in guidelines and best practices to improve reproducibility. However, their translation and application in practice still is an obstacle. We propose ENCORE (ENhancing COmputational REproducilbity) to improve reproducibility and transparency through integration of all project components (e.g., data, code, results, concepts, documentation) in a standardized file system structure. The approach makes use of pre-defined (template) files to guide documentation, a GitHub repository for software versioning, a HTML-based navigator, and ENCORE user documentation. ENCORE is agnostic to the type of computational project, data, programming language, and ICT infrastructure and does not depend on any software tool. ENCORE improved reproducibility and transparency of computational projects in our group. Perhaps the most significant challenge to overcome for routine usage of initiatives such as ENCORE is the lack of incentives to sufficiently motivate researchers to spend sufficient time and effort on reproducibility. We expect ENCORE to contribute to the further development of approaches increasing transparency and reproducibility of computational research.
Selective Integration of Social Feedback Promotes a Stable and Positively Biased Self-Concept
Authors: Garcia Josue , Albert March Sabio , Fuentemilla Lluís
Published: September 2023

In daily interactions, we face self-relevant information from our social environment that informs our self-concept. Despite extensive research across various disciplines, there is no consensus on the primary motivations influencing our self-views, with proposals diverging between the pursuit of positive self-images and the need for a stable self-concept. Understanding self-concept dynamics is crucial given its generalized impact in our well-being. However, how we integrate information into our self-representations to promote a positively biased, yet progressively stable self-concept is a question that remains unanswered. In a series of 4 experiments (Experiment 1, n= 33; 2, n= 40; Experiment 3, n= 45; Experiment 4, n= 40), we combined a sentence verification task (Experiments 2-4) with a belief updating task to investigate how participants integrate social feedback depending on its valence and self-congruence. Experiment 1 indicated that the lack of control of an initial positive bias in participants self-concept might have masked valence and congruence effects in recent works. After implementing methodological adjustments (Experiments 2-3) our results suggested that the integration of social feedback was strongly driven by feedback self-congruence and moderately driven by feedback valence. Importantly, both effects showed to be enduring after 24 hours (Experiment 3) and self-specific (Experiment 4). By synthesizing insights from social, personality, and cognitive psychology, this study offers a nuanced understanding of self-concept dynamics during social feedback processing. Our conceptual and methodological advancements have implications for understanding the link between structural and affective components of self-concept and offer a new lens for reinterpreting previous empirical studies.
No Decision About Me, Without Me: Collaborating with Children and Young People in Mental Health Research
Authors: Lloyd Alex , Wu Tom , Lucas Laura , Agunbiade Adeola , Saleh Romana , Fearon Pasco , Viding Essi
Published: September 2023

Involving young people with lived experience in youth mental health research is important. In recognition of the value of collaborating with experts by experience, international funders are increasingly mandating that mental health research is developed by teams that include individuals from the population of study. Yet, research into how co-production, co-design or Patient Public Involvement (PPI) is implemented in youth mental health research is limited to date. The current systematic review examined this question and identified common practices for collaborating with experts by experience in young people’s mental health research. Academic databases were systematically searched for studies that had involved young people in mental health research, had described these activities, and had reported some demographic information about the experts by experience. From a total of 2130 studies that were screened, 36 studies were eligible for inclusion. The use of co-production and co-design spanned a wide range of topics, including interventions, digital support tools and psychometric studies. Interactive workshops were the primary method of engaging experts by experience, although some studies utilised interviews or focus groups. From the reviewed studies we identified common methodological practices including: Scene setting, utilising a cyclical process, ensuring appropriate engagement and recognition of the cultural context. We draw on these findings to suggest common methods for conducting co-production and co-design activities, and emphasise the importance of ensuring experts by experience are respected and safeguarded throughout their collaboration in research. We also outline areas that deserve future attention and development, and include a response from two young people aged 16-18 and their suggestions for improving and extending co-production methods.
The Effect of Non-Instrumental Information on Reward Learning
Authors: Embrey Jake Ryan , Li Amy Xiangjin , Liew Shi Xian , Newell Ben R
Published: September 2023

Many investigations of information-seeking highlight a tendency to forgo financial reward in return for advance information that cannot be used to change future outcomes. Most of these experiments use tasks in which reward contingencies are described to participants. The use of such descriptions leaves open the question of whether the opportunity to obtain such non-instrumental information influences people’s ability to learn and represent the underlying reward structure of an experimental environment. In two experiments, participants completed a two-armed bandit task with monetary incentives in which reward contingencies were learned via trial-by-trial experience. We find, akin to description-based tasks, that participants are willing to forgo financial reward to receive information about a delayed, unchangeable outcome. Crucially, however, there is little evidence this willingness to pay for information is driven by an inaccurate representation of the reward structure: participants’ representations approximated the underlying reward structure regardless of the presence of advance non-instrumental information. The results extend previous conclusions regarding the intrinsic value of information to an experience-based domain and highlight challenges of probing participants’ memories for experienced rewards.
The fine-grained temporal dynamics of social timing: a window into sociality of embodied social agents. Comment on “The evolution of social timing” by L. Verga, S. A. Kotz, & A. Ravignani
Authors: Konvalinka Ivana , Kompatsiari Kyveli , Li Qianliang
Published: September 2023

Verga, Kotz, and Ravignani’s paper on “The evolution of social timing” [1] provides an elegant proposal into how sociality and timing are interconnected and ubiquitous in human and nonhuman animal interactions, and proposes a framework to investigate the evolution of social timing and why it is so fundamental to social animals. The authors outline some of the key mechanisms that support social timing, such as interpersonal synchronization and mutual adaptation, but do not go into depth with respect to the fine-grained temporal properties and mechanisms underlying individual and interpersonal signals, which may lead to different social outcomes. Here we propose that these fine-grained temporal mechanisms are key to understanding the social timing and consequently sociality of embodied social living species. We first summarize the fine-grained temporal mechanisms in human interactions that we argue are at the very core of social interactions, and show how these can predict important social consequences. Next, we examine whether such mechanisms can lead to varying perceptions of sociality, attribution of agency, and interaction parameters when embedded in artificial embodied agents (e.g., social robots). Finally, we argue that the fine-grained individual and interpersonal temporal dynamics are the key social mechanisms lacking in disembodied artificial intelligence (AI), such as ChatGPT, which ultimately reveals its lack of sociality.
Avoiding the eyeballing fallacy: Visualizing statistical differences between estimates using the pheatplot command
Authors: Brini Elisa , Borgen Solveig Topstad , Borgen Nicolai T.
Published: September 2023

Graphical representations of coefficients and confidence intervals of regression coefficients are increasingly used in research presentations and publications due to their easier and quicker readability compared to tables. However, in coefficient plots that include several estimated coefficients, researchers often use confidence intervals to eyeball whether coefficients are statistically significant from each other, which results in an overly conservative test and increased risk of type II error. To help avoid this eyeballing fallacy, we introduce the pheatplot postestimation command, designed to visualize the statistical significance across estimates of categorical variables in a regression model. pheatplot efficiently compares the significance level between point estimates and helps researchers avoid making wrong assumptions about whether estimates differ. Moreover, by representing p-values as a continuous measure rather than a binary threshold, it provides the flexibility to move beyond arbitrary cutoffs of statistical significance. This article offers a series of examples that illustrate the functionality of the pheatplot command.
Older-aged C57BL/6 mice fed a diet high in saturated fat and sucrose for ten months show decreased resilience to aging
Authors: Johnson Chloe , Zhu Lida , Mangalindan Ruby , Whitson Jeremy , Sweetwyne Maryia , Valencia Ana P. , Marcinekd David J. , Rabinovitch Peter , Ladiges Warren
Published: September 2023

The ability to respond to physical stress that disrupts normal physiological homeostasis at an older age embraces the concept of resilience to aging. A physical stressor could be used to induce physiological responses that are age-related, since resilience declines with increasing age. Increased fat and sugar intake is a nutritional stress with a high prevalence of obesity in older people. In order to determine the effect of this type of diet on resilience to aging, 18-month-old C57BL/6J male mice were fed a diet high in saturated fat (lard) and sucrose (HFS) for ten months. At the end of the 10-month study, mice fed the HFS diet showed increased cognitive impairment, decreased cardiac function, decreased strength and agility, and increased severity of renal pathology compared to mice fed a rodent chow diet low in saturated fat and sucrose (LFS). The degree of response aligned with decreased resilience to the long-term adverse effects of the diet with characteristics of accelerated aging. This observation suggests additional studies could be conducted to investigate the relationship between an accelerated decline in resilience to aging and enhanced resilience to aging under different dietary conditions.
PESQUISA (AUTO)BIOGRÁFICA: UMA ANÁLISE SOBRE EXPERIÊNCIAS FORMATIVAS
Authors: FURLANETTO Ecleide Cunico , NUNES Cristiane Nobre , GONÇALVES Ivanice Nogueira de Carvalho
Published: September 2023

O presente texto pauta-se em pesquisa qualitativa, cuja intenção foi analisar, por meio de narrativas, experiências que impactaram professores em processo de formação. Para isso, exploramos o conceito de experiência e situamos as narrativas autobiográficas como possibilidade de formação, dialogando com autores, como Peter Alheit (2006), Pierre Dominicé (2006), Josso (2007, 2010) e Christine Delory-Momberger (2010, 2012), entre outros. Os resultados nos possibilitam dizer que as narrativas de vida se constituem uma chave potente para a formação. A ação sobre si mesmo desencadeia processos complexos de significação e interpretação que questionam os quadros de referência até então utilizados para balizar a vida, favorecendo a produção de novos saberes que por si só provocam novas orientações biográficas, assentadas em uma maior autonomia adquirida com base no autoconhecimento.
Pyrosociality
Authors: Fowler Cynthia Twyford
Published: September 2023

Pyrosociality is a framework for theorizing the simultaneous production of forests and fires while discerning who is powerful and who is vulnerable in multispecies encounters mediated by fire. This article reviews literature about fire science and situates academic dialogue about the ecological consequences of social processes within real-world goings-on in the Blue Ridge Mountains. Pyrosocial theory draws from posthumanism, science and technology studies, and feminist anthropology to assess fire management. Qualitative data from properties managed by the Nantahala- Pisgah National Forests, North Carolina Forest Service, and South Carolina Forestry Commission ground pyrosocial theory in shifting ideas and practices related to excluding, suppressing, fostering, and igniting fires. When centering fire, what facts, truths, complexities, and subtleties come to light? The pyrosocial approach reveals pyropower, or individual variabilities and structural hierarchies related to controlling or influencing more-than-human communities. Focusing on power and vulnerability within habitats co-constructed by multispecies agents and biophysical forces accentuates meaningful relationships.
Biography of a Scientist as a Surmounting of Time
Authors: Aksenov Gennady
Published: September 2023

The scientist as an individual is a contemporary of particular historical circumstances who perceives social conditions of his time. On the other hand, he or she is part of a scientific community and is involved in a particular scientific discipline. This duality creates a problem of adequacy of the description. To an extent, it generates an uncertainty relation. The more accurately and detailed the description of a scientist’s personal and social life is, the less accurately the essence of his discoveries and his scientific life is conveyed. A biographer’s task is to find the right balance of these two flows that would allow holding the reader’s attention. In practice, the author finds this balance intuitively. In so doing, the biographer surmounts time. Which and
whose time? This article answers this question.
Experimental Genetic and Breeding Research at the MSU Botanical Garden from the Second Third of the 20th Century to the Early 21st Century
Authors: Golikov Kirill
Published: September 2023

From with the second third of the 20th century, studies in experimental morphogenesis, hybridization and breeding become one of the main strands in the research carried out at the MSU Botanical Garden. The article reviews the history of the development of these studies at the BG from the said period to the early 21st century in the context of changes in the BG’s institutional status. It shows the role of L. P. Breslavets-Krestovnikova, cytologist and cytogeneticist, N. A. Bazilevskaya, N. I. Vavilov’s pupil and organizing director of the territory of the MSU Botanical Garden on Lenin Hills (Vorobyovy Gory), and A. A. Sosnovets, ornamental plant breeder and cytogeneticist, in organizing and conducting practice-oriented studies of the effects of various types of radiation and chemical mutagens in different species of economically important and ornamental plants.
OPTIMAL CONTROL IN THE DIRICHLET PROBLEM FOR ELLIPTIC EQUATIONS WITH DEGENERATION
Authors: Pukalskyy I. , Yashan B.
Published: September 2023

The theory of optimal control of systems, which is described by partial differential equations, is rich in results and is actively developing nowadays. The popularity of this kind of research is connected with its active use in solving problems of natural science, in particular hydro and gas dynamics, heat physics, diffusion, and the theory of biological populations.

The problem of optimal control of the system described by the Dirichlet problem for the elliptic equation of the second order is studied. Cases of internal control are considered. The quality criterion is given by the volumetric integral. The coefficients of the equation admit power singularities of arbitrary order in any variables at some set of points. Solutions of auxiliary problems with smooth coefficients are studied to solve the given problem. Using a priori estimates, inequalities are established for solving problems and their derivatives in special Hölder spaces. Using the theorems of Archel and Riess, a convergent sequence is distinguished from a compact sequence of solutions to auxiliary problems, the limiting value of which will be the solution to the given problem.

The necessary and sufficient conditions for the existence of the optimal solution of the system described by the Dirichlet problem for the elliptic equation with degeneracy have been established.
Multi-level Uncertain Fatigue Analysis of a Truss under Incomplete Available Information
Authors: Nonato Raphael Basilio Pires
Published: September 2023

We predict the fatigue life of a planar tubular truss when geometrical parameters, material properties, and live loads are non-deterministic. A multi-level calculation uncertainty quantification framework code was designed to aggregate the finite element method and fatigue-induced sequential failures. Due to the incompleteness of the aleatory-type inputs, the maximum entropy principle was applied. Two sensitivity analyses were performed to report the most influencing factors. In terms of variance, the results suggest that the slope of the curve crack growth rate × stress intensity factor range is the most influencing factor related to fatigue life. Furthermore, due to the application of the entropy concept, the fatigue crack growth boundaries and fatigue crack size boundaries obtained provide the most unbiased fatigue crack design mapping. These boundaries allow the designer to select the worst-case fatigue scenario, besides being able to predict the crack behavior at a required confidence level.
Prediction of Mechanical Behavior of Epoxy Polymer Using Artificial Neural Networks (ANN) And response Surface Methodology (RSM)
Authors: Saada Khalissa , Amroune Salah , Zaoui Moussa
Published: September 2023

The aim of this study is to analyze the effect of different geometries and sections on the mechanical properties of epoxy specimens. Five tensile tests were carried out on three types of series. The experimental results obtained were 1812.21 MPa, 3.90% and 41.91 MPa for intact specimens, 1450.41 MPa, 2.16% and 21.28 MPa for specimens with hole and 750.77 MPa, 2.77% and 11.89 MPa for specimens with elliptical -notched for Young's modulus, strain and stress respectively. In addition, the experimental results indicated that the mechanical properties of both (Young's modulus value and stress value) were higher in an intact specimen. Afterwards, the nonlinear functional relationship of input parameters between epoxy sample geometries and sections was established using the response surface model (RSM) and the artificial neural network (ANN) to predict the output parameters of mechanical properties (Young's modulus and stress). In addition, the design of experiment was developed by the Analysis of the Application of Variance (ANOVA). The results showed the superiority of the ANN model over the RSM model, where the correlation coefficient values for the model datasets exceed ANN (R2 = 0.984 for Young's modulus and R2 = 0.981 for the constraint).
Chronic disease treatment default prediction with random sampling optimization.
Authors: Owusu-Adjei Michael , Hayfron-Acquah James Ben , Frimpong Twum , Abdul-Salaam Gaddafi
Published: September 2023

A characteristic feature of real-world applications is the occurrence of dataset class imbalance in the output class distribution. Predictive modeling contributions from the minority or underrepresented class are overlooked by most learning algorithms. Addressing this challenge includes applying re-sampling techniques that eliminate class distribution imbalance for a more balanced output class distribution in the training examples. Random sampling techniques such as random over-sampling of the minority class duplicates the minority class examples to achieve a more balanced distribution or random under-sampling to delete training examples in the majority class for a balanced distribution to eliminate class imbalance in the dataset. The usefulness of these random sampling techniques has received attention in several research studies, particularly for binary classifications in two-class or multi-classification problems. This application, to many, is aimed at achieving equal class distribution meant to determine optimal model performance. This comparative assessment of random sampling optimization uses five classification-based algorithms, namely: extreme gradient boosting, gradient boosting, random forest, support vector machines and logistic regression, to evaluate predictive performance in random sampling on a real-world healthcare dataset of patients suffering from hypertension with comorbidities. The average prediction accuracy score (balanced accuracy) obtained shows statistically significant differences between scores obtained at the pre-sampling and post-sampling stages. The lowest score obtained with post-sampling was 85.55%, as against 54% in pre-sampling. However, high auc_roc score recorded in pre-sampling, over-sampling and under-sampling indicate a statistically insignificant impact of over-sampling and under-sampling use in this context. This confirms that the impact and effect of random sampling use in predictive modeling can better be explained in context.
Sur la présence d’Odynerus (Spinicoxa) wilhelmi Dusmet, 1917, en France métropolitaine (Hymenoptera, Vespidae, Eumeninae)
Authors: Gereys Bruno , Perrard Adrien
Published: September 2023

On the presence of Odynerus (Spinicoxa) wilhelmi Dusmet, 1917, in metropolitan France (Hymenoptera, Vespidae, Eumeninae). The revision of an old Corsican specimen reveals the first record of Odynerus (Spinicoxa) wilhelmi Dusmet, 1917 from Metropolitan France.
First record of Sitona waterhousei Walton in Turkey, near Mount Ararat (Curculionidae, Entiminae)
Authors: Gözüaçık Celalettin , Velázquez-de-Castro Antonio J.
Published: September 2023

Sitona waterhousei Walton, 1846, is newly recorded from Turkey. The weevil was collected by sweeping herbaceous plants near Mount Ararat in Igdir, East Turkey. This is the second record for Asia and the easternmost known locality. The distribution of the species apparently consists of a large area in the west Palaearctic region and a small area south of the Greater Caucasus range.
Éléments pour une révision du genre Amauronyx Reitter, 1882, avec la description de dix-sept espèces nouvelles (Coleoptera, Staphylinidae, Pselaphinae)
Authors: Orousset Jean
Published: September 2023

Elements for a revision of the genus Amauronyx Reitter, 1882, with description of seventeen new species (Coleoptera, Staphylinidae, Pselaphinae). The most important morphological structures for the discrimination of species belonging to the genus Amauronyx Reitter, 1882, are studied in detail; differences with the genus Trichonyx Chaudoir, 1845, are specified. The phenomenon of antisymmetry of the terminalia and genitalia, observed in five species, is commented. Holotypes of two previously described species are examined and lectotypes are designated for ten species, whose essential characters are indicated, with unpublished chorological data. Seventeen new species are described : A. aubei n. sp., A. besucheti n. sp., A. hlavaci n. sp., A. meybohmi n. sp. and A. serranoi n. sp., from Portugal, A. tronqueti n. sp., from Spain, A. normandi n. sp., A. peyerimhoffi n. sp. and A. theryi n. sp., from Algeria, A. vaucheri n. sp., from Morocco, A. kociani n. sp., from Armenia, A. saulcyi n. sp., from Cyprus, A. karamani n. sp., A. machulkai n. sp. and A. reitteri n. sp., from Greece, A. binaghii n. sp. and A. viti n. sp., from Turkey. The genus is new for Corsica, Armenia, Cyprus and Turkey; its presence in Iran is confirmed.
Un nouveau Carabus de Chine du sous-genre Apotomopterus Hope, 1838 (Coleoptera, Carabidae)
Authors: Deuve Thierry , Sota Teiji , Liang Hongbin
Published: September 2023

A new Carabus of the subgenus Apotomopterus Hope, 1838, from China (Coleoptera, Carabidae). Description of a new Carabus from China, belonging to the subgenus Apotomopterus Hope, 1838: C. (A.) roxane fengqingensis n. ssp., from Western Yunnan.
Inventarisasi Tumbuhan Paku (Pterydophyta) Di hutan Batu Tikar Kecamatan Luwuk Kabupaten Banggai
Authors: Karim Wahyudin Abdul , Nurlia Nurlia , Ndolan Yospina , Samaduri Alwia
Published: September 2023

Ferns are one of the plants that compile vegetation. They are often found in temperate and humid climates such as forests. In Batu Tikar Forests, Luwuk District, Banggai Regency has many types of plants, both high and low level. Low-level plants found in Batu Tikar Forest, Luwuk District, Banggai Regency include ferns (Pteridophyta). This reserach is to find out the result of ferns (Pteridophyta) inventory in Batu Tikar Forest, Luwuk District of Banggai Regency. The research design was descriptive explorative whis was conducted on July up to August 2020 in Batu Tikar Forest, Luwuk District of Banggai Regency. The research population were all ferns (Pteridophyta) and sample of this research is ferns which are found around the river flow to the left and right along 10 meters with the entire length of the river was 478 meters. Data collection was carried out using the exploration or cruise method. The ferns data collected were analyzed descriptively qualitatively by describing the morphological characteristics of the ferns. The results of this research showed that ferns (Pteridophyta) were found 30 types there are Adiantum sp. 1, Adiantum sp. 2, Pteris sp., Asplenium sp. 1, Asplenium sp. 2, Asplenium sp. 3, Asplenium sp. 4, Asplenium sp. 5, Asplenium sp. 6, Selaginella willdenowii (Desv.) Bak., Cyclosorus sp. 1, Cyclosorus sp. 2, Cyclosorus sp. 3, Cyclosorus sp. 4, Thelypteris sp.1, Thelypteris sp.2, Thelypteris sp.3, Christella sp., Orthioptheris sp., Nephrolepissp. 1, Nephrolepis sp. 2, Microsorum sp., Lastreopsis sp., Diplazium sp., Dicranopteris sp., Dyplazium sp., Stenosomia sp. Heterogonium sp., Dryopteris sp., Davallia sp.

Keywords: Inventory, Pteridophyta, Batu Tikar forest
Pengaruh Model Pembelajaran Contextual Teaching and Learning terhadap Aktivitas Belajar Siswa Materi Keanekaragaman Hayati di Kelas X SMA Negeri 1 Luwuk
Authors: Lama'u Sryfaida , Nurlia Nurlia , Anggo Sulasmi
Published: September 2023

Abstract: Choosing the right learning model during the learning process is a very important thing for a teacher to do, to increase student learning activities. This research aims to find out the influence of learning model the Contextual Teaching and Learning toward student learning activities on biodiversity material in class X SMA Negeri 1 Luwuk. This research is a quasi-experimental research with a Nonequivalent Control Group Design research design. The population of the research was class X students of SMA Negeri 1 Luwuk for the 2022/2023 school year. The samples of this research were class Xb as an experimental class and class Xe as a control class, each of which consists of 39 students. The data collection technique was used students learning activity sheets with 8 aspects of assessment, namely observing teacher lessons, expressing questions, doing group assignments, listening to discussion group friends’ conversations, solving problems, presenting group assignments, answering questions, and approve and receiving opinions. The data were analyzed using a normality test and a t-test with the help of an SPSS application. The results of this research showed that there was an influence of learning model the Contextual Teaching and Learning on student learning activities on biodiversity material in class X SMA Negeri 1 Luwuk with a calculated tcount = 5.470 ˃ ttable = 1.665 and a significant value of 0.000 ˂ 0.05. Keywords: Learning Activities, Contextual Teaching and Learning
Pengaruh Penggunan Model Pembelajaran Tipe Two Stay Two Stray (TSTS) Terhadap Hasil Belajar Pada Materi Sistem saraf di SMA Negeri 2 Pulau Taliabu
Authors: Sarianti Sarianti , Haruna Moh. Fahri , Nurlia Nurlia
Published: September 2023

Abstract: The purpose of this study was to determine the effect of using the Two Stay Two Stray (TSTS) cooperative learning model on student learning outcomes in class XI MIPA 1 SMA Negeri 2 Pulau Taliabu. This research was carried out in the even semester of the 2020/2021 Academic Year from April to May 2021. The research design was in the form of a Pretest Posttest Control Group Design. The population of all students in class XI, amounting to 86 students. The research sample consisted of an experimental class with 22 students and a control class with 22 students, so that the total sample size was 44 students. The instrument used is test questions, in the form of pretest and posttest with a total of 20 multiple choice questions each. The data collected from the test results is processed and tested using the t-test (t-test). to see the influence of the learning model, then to test the hypothesis using the F test, with a significant α = 0.05. Based on the results of the study, the value of tcount > ttable (2.887> 1.682) was obtained, so that it was found that there were differences in the effect of learning outcomes with conventional learning models and two stay two stray learning models. So it can be concluded that there is a significant effect of using the two stay two stray (TSTS) type learning model on student learning outcomes in class XI MIPA 1 SMA Negeri 2 Pulau Taliabu. Keywords: Cooperative Learning; Pulau Taliabu ; Two Stay Two Stray