Scientific Language Research Articles

Pantheism from the Perspective of Wittgensteinian Nonoverlapping Magisteria (WNOMA)

This essay examines pantheism within the framework of the ‘faith and reason’ field in the philosophy of religion, with an emphasis on the question of the relationship between pantheism and empirical–scientific rationality. I address this question from what I call the Wittgensteinian Nonoverlapping Magisteria (WNOMA) approach to religion and science. WNOMA affirms a categorial difference between religious and scientific language and attitudes. This difference is interpreted with the help of Wittgenstein’s distinction between religious and scientific beliefs and van Fraassen’s distinction between religious and empiricist stances. This means that WNOMA is antievidentialist regarding religious beliefs and sees the experiential and instinctive aspects of religion as more fundamental than the systematic–intellectual aspect. Part of the variety in contemporary pantheism relates to the question of whether the emphasis is on the experiential–spiritual side of pantheism or its intellectual side, i.e., whether pantheism is ‘hot’ or ‘cold’. I examine a few telling examples: Spinoza, Einstein, the World Pantheism Movement and a recent awe-some argument for pantheism by Ryan Byerly. The main contribution of this paper is a critical reading of these versions of pantheism from a WNOMA perspective, through which I hope to establish the plausibility and show some of the persuasive force of the WNOMA approach to pantheism, focusing on the relation of pantheism to scientific rationality on the one hand and felt experience on the other. I argue that hotter kinds of pantheism can be intellectually virtuous if they find a way to combine the empiricist stance and pantheist religious stance, even without a developed philosophical or theological system. I also argue that colder and philosophically rigorous pantheism can be problematic if it assumes religious evidentialism, neglects the experiential part of pantheism in favor of intellectualism or/and confuses the spheres of science and religion.

Personality is (so much) more than just self-reported Big Five traits

Common reductionist contractions in thinking or writing about personality and individual differences are to conflate personality, dispositional traits, the Big Five, and self-reports. To avoid conceptual confusions and communicate more effectively, we should bear in mind: (a) Personality is much more than dispositional traits or basic tendencies, (b) basic tendencies are more than just Big Five traits, and (c) self-reports of traits—which capture explicit self-concepts—are just one out of many approaches to trait measurement. These distinctions should be reflected in our thinking, writing, and communication. Attending to them can help clarify what has been studied and (re-)contextualize our knowledge bases. Personality psychology is a science, and scientific language must be accurate, precise, and nuanced.

Challenges in the application of the Tshivenda scientific register in the teaching and learning of state of matter and the kinetic molecular theory in grade 10 physical sciences classrooms.

Background: This paper investigated some of the challenges in the application of Tshivenda scientific register (TSR) during classroom practices of some physical sciences teachers in some of the public secondary schools in the Vhembe West District, South Africa. Methods: It was an interpretative qualitative case study wherein three physical sciences teachers and 40 learners took part in the study. The study conducted at schools of Vhuronga 2 circuit in Vhembe West District between January 2022 to November 2022. Semi-structured interviews and classroom observations were used for data collections. Researchers analyzed their data through Data Analysis Scheme (DAS) which comprised of themes, categories, and characteristics in this qualitative study. Texts that belong to a particular theme were highlighted using same colour and track changes was also used to codify categories and characteristics of a theme. Results: The research findings had shown numerous challenges in the teaching and learning of physical sciences including teachers and learners not used to physical sciences being taught and learnt through TSR, not familiar with some scientific words in TSR, difficulties in understanding scientific term in TSR as well as absence of Tshivenda physical sciences resources beside TSR. Consequently, this has impacts on teacher and learner's ability to implement TSR in the teaching and learning of Physical Sciences. Moreover, the findings also show that teachers and learners participated in the study sometimes switch from Tshivenda Scientific words to English Scientific words during Physical Sciences lessons. Conclusions: Therefore, it is suggested that the above-mentioned challenges in the development and application of TSR for Physical Sciences teaching need to be addressed so that teachers can teach learners Physical Sciences through language they know best. Hence, physical sciences teachers must be developed, trained, and furnished with essential language skills for them to develop Tshivenda scientific language registers on other sciences topics.

Adsorpsi Logam (Pb) dengan Menggunakan Biji Kelor sebagai Adsorben

Lead or in everyday life is better known as lead, in scientific language it is called lead, and this metal is symbolized by Pb. This metal is included in group IV-A metals on the periodic table of chemical elements. It has an atomic number (NA) of 82 and an atomic weight (BA) of 207.2 (Palar, 2008). Lead in air is in the form of Pb (OH)2. Most of the lead metal on earth enters natural water systems and accumulates, which can eventually enter the bodies of animals and humans, which can cause children's intelligence to decrease, stunted body growth, and even cause paralysis. other symptoms such as poisoning, nausea, anemia, and stomach ache. One absorbent material that can be used to adsorb heavy metals such as lead is moringa oleifera seeds. This research uses a method to obtain the desired quantitative and qualitative data regarding PB metal content before adsorption and after adsorption, adsorption time, and quality of Moringa seeds as an adsorbent, then analyzed proximally. The results of the research showed that the Pb concentration in Tallo River water was 0.0204 mg/L, but after adding Moringa seed adsorbent, the Pb concentration dropped to <0.002mg/L, this means that Moringa seeds are very good at absorbing Pb metal. Hulled Moringa seeds tend to absorb more easily than whole Moringa seeds. The longer the adsorbent takes to adsorb, the Pb concentration decreases until the Pb concentration remains relatively constant.Keywords: Adsorption; Absorbent, Moringa Seeds,Metal

Benchmarking topic models on scientific articles using BERTeley

The introduction of BERTopic marked a crucial advancement in topic modeling and presented a topic model that outperformed both traditional and modern topic models in terms of topic modeling metrics on a variety of corpora. However, unique issues arise when topic modeling is performed on scientific articles. This paper introduces BERTeley, an innovative tool built upon BERTopic, designed to alleviate these shortcomings and improve the usability of BERTopic when conducting topic modeling on a corpus consisting of scientific articles. This is accomplished through BERTeley’s three main features: scientific article preprocessing, topic modeling using pre-trained scientific language models, and topic model metric calculation. Furthermore, an experiment was conducted comparing topic models using four different language models in three corpora consisting of scientific articles.

Children build their vocabularies in noisy environments: The necessity of a cross-disciplinary approach to understand word learning.

Research within the language sciences has informed our understanding of how children build vocabulary knowledge especially during early childhood and the early school years. However, to date, our understanding of word learning in children is based primarily on research in quiet laboratory settings. The everyday environments that children inhabit such as schools, homes, and day cares are typically noisy. To better understand vocabulary development, we need to understand the effects of background noise on word learning. To gain this understanding, a cross-disciplinary approach between researchers in the language and hearing sciences in partnership with parents, educators, and clinicians is ideal. Through this approach we can identify characteristics of effective vocabulary instruction that take into account the background noise present in children's learning environments. Furthermore, we can identify characteristics of children who are likely to struggle with learning words in noisy environments. For example, differences in vocabulary knowledge, verbal working memory abilities, and attention skills will likely influence children's ability to learn words in the presence of background noise. These children require effective interventions to support their vocabulary development which subsequently should support their ability to process and learn language in noisy environments. Overall, this cross-disciplinary approach will inform theories of language development and inform educational and intervention practices designed to support children's vocabulary development. This article is categorized under: Psychology > Language Psychology > Learning Psychology > Theory and Methods.

Włączenie menedżerów i innych praktyków w badania naukowe (za i przeciw)

The aim of the article is to identify positive and negative consequences of inclusion of managers and other practitioners in scientific research in management and quality science. The article presents the results of qualitative research in the form of semi-structured interviews conducted with forty scientists. The results show that positive consequences of inclusion of managers and other practitioners in scientific research include the possibility of confirming the researcher’s findings, obtaining a broader view of the research problem, being provided with ideas for conducting scientific research, formulating research questions, making scientific language more accessible for people outside academia, the utilitarian and practical application of research, better creating research tools, accessing resources, collecting research data, involvement in interpretation and, subsequently, writing research reports, and commercializing research results. On the other hand, the negative consequences are the perceived lack of benefits from including managers and other practitioners in scientific research in the research process, the lack of opportunity to involve society in all scientific problems, organizational reluctance due to lack of benefits, pressure from organizations concerning the final form of results, difficulty in understanding the specifics of research by managers and other practitioners in scientific research, cost and time consumption, researcher subjectivity, and the risk of violating methodological rigor and intellectual property rights.

TELL: A web‐based app to capture speech and language markers of neurodegeneration

AbstractBackgroundOver the last decade, the search for scalable markers of neurodegeneration has been boosted by automated speech and language analysis (ASLA). Participants are asked to produce natural discourse, generating acoustic and linguistic data that can be digitally extracted and analyzed with statistical or machine learning methods. This approach has revealed subtle patterns that differentiate among disorders, predict core symptom severity, correlate with anatomo‐functional brain alterations, and identify autopsy‐confirmed pathology years before death. Accordingly, multiple studies have described ASLA as a promising resource for patient assessment. However, this translational potential remains unfulfilled, as the underlying technologies are unavailable for immediate clinical use. Aiming to tackle this issue, we developed the Toolkit to Examine Lifelike Language (TELL), a web‐based app for collecting, storing, analyzing, and visualizing speech data.MethodTELL version 1.0 was developed by an interdisciplinary team of language, brain health, and data science experts. We designed a speech elicitation protocol comprised of validated spontaneous, semi‐spontaneous, and non‐spontaneous tasks with different cognitive demands. Each task is analyzed via ASLA algorithms capturing word frequency, affective valence, and emotional magnitude, as well as rhythm‐ and pitch‐related features. On‐the‐fly results are offered through intuitive visualizations for each metric. The measures are complemented with a language profile survey. Audio files, transcriptions, and data matrices can be downloaded for offline analysis. The app runs on multiple devices, requires no installation, and offers multi‐language capabilities.ResultTELL version 1.0 is now being used in 10 sites worldwide, mainly including low‐income countries. Preliminary results from persons with Alzheimer’s and Parkinson’s disease, as well as frontotemporal dementia, show that its metrics are sensitive for disease identification, discrimination, and monitoring. Updates have been implemented drawing from users’ feedback. Funds have been secured to develop TELL version 2.0, with novel metrics, improved speech‐to‐text algorithms, and a streamlined front end.ConclusionTELL turns basic language science methods into clinically usable tools, offering an objective, low‐cost, non‐invasive complement to classical assessments. More generally, it illustrates how digital technologies can foster equitable insights on brain health. Ongoing updates will further increase its capacity to establish scalable markers of diverse neurodegenerative diseases.

Gender Features of a Literary Text

The article sets the task of the features of writing a modern literary text. Analyzes in the linguistics of contemporary literary texts are explored in connection with deep linguistic personalities in cultural, social and discovery aspects. In recent years, the number of studies that are associated with paying special attention to the characteristics of male and female languages and their linguocultural representation in works of art has increased, which are considered as priority research in the field of philosophy. However, it is important to choose the meaning of the gender image in a literary text from a cognitive point of view. The main purpose of the article is to show the cognitive nature of the author in the presented literary text, the linguoculturological use of the gender image. Several authors of modern fiction are used as an object. Having recognized the linguoculturological features of a literary text in the gender aspect, it is possible to evaluate the use of complex theoretical material common to language and literature. In addition to being able to use artistic tools in the Kazakh language in writing an artistic text, it is very important to be able to clarify the rules and requirements of language science, the rules of stylistics in creating an artistic text. In journalism, the relevance of the text in society is also considered due to the peculiarities of its writing. Therefore, the functional types of language in the literary text: description, narration, reasoning can be the main ways of composing the text. The linguistic side of the analysis of a literary text is of great practical importance in terms of feeling the aesthetic and poetic power of the word, making the possibility of judgments through understanding. Using the results of new trends and research emerging in modern journalism when analyzing text is very important and a requirement of the time.

TELL: A web‐based app to capture speech and language markers of neurodegeneration

AbstractBackgroundOver the last decade, the search for scalable markers of neurodegeneration has been boosted by automated speech and language analysis (ASLA). Participants are asked to produce natural discourse, generating acoustic and linguistic data that can be digitally extracted and analyzed with statistical or machine learning methods. This approach has revealed subtle patterns that differentiate among disorders, predict core symptom severity, correlate with anatomo‐functional brain alterations, and identify autopsy‐confirmed pathology years before death. Accordingly, multiple studies have described ASLA as a promising resource for patient assessment. However, this translational potential remains unfulfilled, as the underlying technologies are unavailable for immediate clinical use. Aiming to tackle this issue, we developed the Toolkit to Examine Lifelike Language (TELL), a web‐based app for collecting, storing, analyzing, and visualizing speech data.MethodTELL version 1.0 was developed by an interdisciplinary team of language, brain health, and data science experts. We designed a speech elicitation protocol comprised of validated spontaneous, semi‐spontaneous, and non‐spontaneous tasks with different cognitive demands. Each task is analyzed via ASLA algorithms capturing word frequency, affective valence, and emotional magnitude, as well as rhythm‐ and pitch‐related features. On‐the‐fly results are offered through intuitive visualizations for each metric. The measures are complemented with a language profile survey. Audio files, transcriptions, and data matrices can be downloaded for offline analysis. The app runs on multiple devices, requires no installation, and offers multi‐language capabilities.ResultsTELL version 1.0 is now being used in 10 sites worldwide, mainly including low‐income countries. Preliminary results from persons with Alzheimer’s and Parkinson’s disease, as well as frontotemporal dementia, show that its metrics are sensitive for disease identification, discrimination, and monitoring. Updates have been implemented drawing from users’ feedback. Funds have been secured to develop TELL version 2.0, with novel metrics, improved speech‐to‐text algorithms, and a streamlined front end.ConclusionTELL turns basic language science methods into clinically usable tools, offering an objective, low‐cost, non‐invasive complement to classical assessments. More generally, it illustrates how digital technologies can foster equitable insights on brain health. Ongoing updates will further increase its capacity to establish scalable markers of diverse neurodegenerative diseases.

Bahasa Arab sebagai Bahasa Lintas Zaman (Systematic Literature Review)

This article aims to examine the role of Arabic as a language across eras through a literature review approach. Arabic has a long history as a literary, scientific and religious language that has had a major impact on various fields of knowledge and daily life. Using the literature review method, this article investigates the development of the Arabic language over time, focusing on its contribution to scientific research, classical literature, and cultural heritage. In scientific literature, Arabic played a significant role in the development of science, mathematics, and medicine during the Islamic Golden Age. Meanwhile, in classical literature, Arabic poetry and prose have become the basis for world literature. This article also highlights the influence of Arabic in religious contexts, especially as the language of the Koran, which has had a profound impact on the spiritual and ethical life of Muslim communities. In addition, this article illustrates how Arabic remains relevant in the modern era, especially in the context of literary language, Islamic education, and international communication. This literature review provides a comprehensive picture of how Arabic continues to maintain its superiority as a language across eras, through changing times while remaining the center of thought, knowledge and identity for the people who own it

Uncovering heterogeneous effects in computational models for sustainable decision-making

Computational modeling is frequently incorporated into environmental decision-making in order to capture inherently complex relationships and system dynamics. The complexity of such models often lies in various heterogeneous effects that arise due to the interaction of different input factors or due to designed structural variation in the model. In the past, various sensitivity analysis approaches have been implemented in attempts to identify essential decision factors. However, existing sensitivity analysis methods fail to capture critical information in the presence of heterogeneous effects. In this paper, the recently introduced simulation decomposition (SimDec) visualization method is extended to include quantitative sensitivity analysis. The framework is tested on several decision-making problems and is shown to capture heterogeneous behavior. A formal definition and classification of heterogeneous effects for computational models is introduced. The framework is open-sourced in a variety of scientific programming languages.

Derivational morphology in Modern Greek

Abstract Derivational morphology is an umbrella term used for concatenative and non-concatenative processes for the formation of new lexemes. In Modern Greek, derivational morphology is one of the major morphological processes along with compounding and inflection. In recent years, research on derivational morphology has evolved rapidly. We present here the state-of-the-art on the recent advances in the derivational morphology of Modern Greek. First, we present affixational derivation by focusing on the main features of the derivational affixes used in Modern Greek and then we present the non-concatenative derivational processes. We also discuss the main theoretical issues related to derivational morphology, that is, constraints, competition and productivity of derivational patterns, and the main theoretical approaches to Modern Greek derivational structures. Finally, we present some general themes of derivational morphology, including the relationship between derivation and other morphological processes and the role of derivational morphology in scientific terminology, language teaching/lexicography and psycholinguistics. We aim to contribute to better understanding of how morphology works by highlighting the potential of research on derivational morphology in Modern Greek.

Incidence of Liver Damage Related to a Patient with Dengue

Dengue, a mosquito-borne viral infection, is a global health concern with a substantial burden of disease. This bibliographic review article delves into the incidence of liver damage related to dengue, offering insights into the epidemiological aspects, clinical importance, severity criteria, complications, and medical management. With a focus on scientific language and a medical journal-like approach, this review contributes to a comprehensive understanding of the relationship between dengue and liver damage, highlighting the need for vigilance in clinical practice.

Weight Loss App Descriptors in App Stores: A Qualitative Analysis of the Spanish Market

Mobile applications for weight loss have arisen the interest of private companies and developers, who have put great efforts on the development of this kind of apps. This topic has attracted the interest of the scientific community, both in terms of usability and design. Two main issues have, however, arisen: firstly, research focus has been on the apps themselves, but little attention has been paid to how they are presented in the application stores, and secondly, current literature focuses solely on applications in English. The study objective is to observe how the most popular weight loss applications for the Spanish market are presented in the stores. Using thematic analysis, this study is aimed at discovering the themes featured in the store descriptions and to observe what functionalities are highlighted in these descriptions. The initial sample was based on 247 weight loss applications, which after revision was reduced to 7 applications. Our results show that they focused on efficacy, speed, and, to a much lesser degree, safety in weight loss. Among the main results, we found that app descriptors analyzed did not employ a scientific language and demonstrate technical expertise, or user testimonials. On the other hand, the claims made by the apps about weight loss were mainly based on effectiveness. This sometimes included the concept of quick results and, to a lesser extent, health and safety. Lastly, we observed that there is room for improvement in the linguistic and cultural adaptation of the texts of these application descriptions. Regarding the study limitations, the reduced number of the sample is because our study focuses on applications with features that follow international weight loss guidelines, which most of them did not follow.

Basic logical operation skills and logical reasoning competences of university students in a Western region of Romania

Empirical research results show that the system of logical operations and conclusion schemes does not become complete even in adulthood. Although we know other logical models besides the classical two-valued logical reasoning model, in higher education for students it is essential to know and apply the rules of the classical reasoning model. Proofs, reasoning and refutation are necessary in the case of several subjects, as scientific language uses many of logical operations. Our 2022 end-of-year research measured general logical basic-knowledge and operations in everyday life, mathematical, physical, chemical and biological contexts based on 246 university students’ online testing. The students completed the tasks which required the correct conclusion in the highest proportion (69.02%), followed by the interpretation of ‘at most’/‘at least’ (63.41%), and at least the negation (the negation of the ‘at least’, of ‘exists’ and of ‘for all’) (29.91%). Our results show that the correct interpretation did not become dominant in the case of all logical operations for these students. The everyday life problems were solved correctly by the highest percentage of students (70.05%), followed by problems in biological, physical and mathematical context. They were least successful (28.04%) in solving logical problems related to chemistry. This shows that our data cannot be analyzed without semantic content. Based on different statistical tests, we did not find a significant difference in performance between genders, but according to the human capital theory students of more highly educated mothers performed significantly better.

Interjections at the Heart of Language

Interjections, the words that come between sentences, are easily overlooked and usually treated as peripheral to the language sciences. This review surveys work from disparate disciplines that suggests an inversion of perspective: from interjections as marginal items to interjections at the heart of language. Around one out of every seven turns in conversation is an interjection, and the most common ones are not the involuntary exclamations that typically feature in examples; instead, they form a small set of agile and adaptive interactional tools that streamline everyday language use. Continuers like mmhm help people co-construct complex interactional structures, repair initiators like huh? help people calibrate mutual understanding on the fly, and change-of-state tokens like oh display knowledge as it evolves in interaction. Interjections emerge as words that help us talk and think, scaffolding the complexity of language as we know it. The review critically considers received views of interjections as primitive grunts, affect bursts, or symptoms of strain and provides a number of alternative ways of thinking about interjections.

Informal Caregivers and Care Burden in Iran: Systematic Review and Meta-Analysis.

The increase in the average age of the population, the decrease in the size of the household and rising in the number of working women impose an increasing burden on home caregivers in Iran. The aim of this study was to measure care burden of informal caregivers in Iran through systematic review and meta-analysis of existing literature. A systematic review was conducted by using national and international databases of Scopus, PubMed, Embase, Web of Science, SID, Magiran, and IranDoc papers in English and Persian language up to the first half of 2020. In this meta-analysis, we calculated the pooled care burden and 95% confidence intervals in Statistical Software For Data Science (STATA) V.15. Forty-four papers were included in the current study based on inclusion and exclusion criteria comprising of 8626 samples. Pooled mean of Burden of Care was 52.01 (95% CI: 48.21-55.82). Highest pooled mean(SD) of care burden (64.37) was related to caregivers of schizophrenia patients (95% CI: 56.09-72.64). Highest care burden (53.45) was observed in most deprived areas (95%CI = 47.05-59.86). A statistically significant relationship was observed between caregivers gender and care burden (p < 0.05). The reported care burden of informal caregivers requires the establishment of a support system to control mental and physical stress. Due to the dispersion and cultural diversity in Iran, more studies are needed to obtain more accurate data.

Formation of a professional linguistic personality (based on texts in the specialty «Earth Sciences»)

In the conditions of intensive growth of scientific and scientific-technical information, rapid changeability and updating of the system of scientific knowledge there is a need to study issues related to professional communication. Users of scientific language master its culture gradually; acquire life experience, their own knowledge, general and professional erudition of the speaker. The aim of the article is to carry out a comprehensive analysis of linguistic means and identify the features of the implementation of professional linguistic personality of a scientist, author of scientific articles on the speciality «Earth Sciences». Special attention is devoted to a brief review of theoretical provisions of domestic researchers engaged in the study of professional linguistic personality and idiostyle. Scientific novelty lies in the analysis of linguistic means characteristic of the individual style of a scientist on a new linguistic material (scientific texts on the specialty «Earth Sciences»). This approach allowed us to consider the influence of a person's professional status on the texts produced by him/her. The material for the analysis is the articles selected by the method of continuous sampling on the scientific specialty «Earth Sciences». In addition, the method used in this article was continuous sampling method, content analysis, comparative analysis. The obtained results showed that in order to build a model of professional linguistic personality of a scientist, it is necessary to conduct a comprehensive psychological and linguistic analysis of the scientist's texts at the verbal-semantic, linguistic-cognitive and pragmatic levels, highlighting the correlation and influence of ethno-cultural, socio-group and individual aspects of personality content. Despite the fact that the author of scientific articles is limited by the norms of scientific style, there are certain linguistic means that allow reflecting the author's uniqueness under the existing norms of text formation.

Tracing the History of Tun Sri Lanang in Samalanga Bireuen, Aceh: The Intersection of Arabic Language Science, Management, and Communication

This article documents archaeological research on the historical site of Tun Sri Lanang in Samalanga District, Bireuen Regency. The research aims to excavate and understand the historical heritage associated with an important figure in local history. Excavation methods and artifact analysis were used to reveal the historical aspects associated with this site, accompanied by interview methods. This activity illustrates the efforts to trace the history of Tun Sri Lanang by using the approach of Arabic linguistics to understand texts and historical sources, the application of management principles in the management and preservation of historical sites, and communication strategies to promote and increase public awareness of the historical and cultural value of the site.