Public Domain Research Articles

Policies and legislation enabling sustainable technologies in the public transport infrastructure in NEOM

AbstractIn the context of rapidly urbanizing cities, integrating sustainable technologies into public transportation systems is important. This study examines the policies and legislative frameworks of NEOM and articulates their impact on the adoption and expansion of sustainable technologies within the public transport domain. The objective is to determine whether these regulatory mechanisms facilitate or impede NEOM's sustainability ambitions. The main finding is that NEOM's current legislative and policy framework presents notable challenges. The commitment to advancing sustainable technologies is clear, tension exists between the rigidity of traditional legislative approaches and the rapidly evolving nature of technological innovation. Our analysis suggests NEOM has considerable potential to reform its policies and measures. Recalibration would ensure compatibility with sustainable practices and drive the city's vision for a sustainable and technologically advanced public transportation system. The study recommendations highlight the need for flexible, innovation‐centric legal frameworks. A more adaptable legislative approach could inform NEOM to leverage sustainable technologies more effectively, ensuring an environmentally responsible public transportation system that serves its expanding user community. Furthermore, this research offers broader implications for other emerging smart cities, underscoring the essential relationship between policy, technology, and sustainability in shaping future‐ready urban transport systems.

Annotation of 2,507 Saccharomyces cerevisiae genomes.

Saccharomyces cerevisiae (baker's yeast, budding yeast) is one of the most important model organisms for biological research and is a crucial microorganism in industry. Currently, a huge number of Saccharomyces cerevisiae genome sequences are available at the public domain. However, these genomes are distributed at different websites and a large number of them are released without annotation information. To provide one complete annotated genome data resource, we collected 2,507 Saccharomyces cerevisiae genome assemblies and re-annotated 2,506 assemblies using a custom annotation pipeline, producing a total of 15,407,164 protein-coding gene models. With a custom pipeline, all these gene sequences were clustered into families. A total of 1,506 single-copy genes were selected as marker genes, which were then used to evaluate the genome completeness and base qualities of all assemblies. Pangenomic analyses were performed based on a selected subset of 847 medium-high-quality genomes. Statistical comparisons revealed a number of gene families showing copy number variations among different organism sources. To the authors' knowledge, this study represents the largest genome annotation project of S. cerevisiae so far, providing rich genomic resources for the future studies of the model organism S. cerevisiae and its relatives.IMPORTANCESaccharomyces cerevisiae (baker's yeast, budding yeast) is one of the most important model organisms for biological research and is a crucial microorganism in industry. Though a huge number of Saccharomyces cerevisiae genome sequences are available at the public domain, these genomes are distributed at different websites and most are released without annotation, hindering the efficient reuse of these genome resources. Here, we collected 2,507 genomes for Saccharomyces cerevisiae, performed genome annotation, and evaluated the genome qualities. All the obtained data have been deposited at public repositories and are freely accessible to the community. This study represents the largest genome annotation project of S. cerevisiae so far, providing one complete annotated genome data set for S. cerevisiae, an important workhorse for fundamental biology, biotechnology, and industry.

Review of remote monitoring systems for the delivery of sustainable and resilient water infrastructure

Purpose This paper aims to present a literature review of remote monitoring systems for water infrastructure in the Global South. Design/methodology/approach Following initial scoping searches, further examination was made of key remote monitoring technologies for water infrastructure in the Global South. A standard literature search methodology was adopted to examine these monitoring technologies and their respective deployments. This hierarchical approach prioritised “peer-reviewed” articles, followed by “scholarly” publications, then “credible” information sources and, finally, “other” relevant materials. The first two search phases were conducted using academic search services (e.g. Scopus and Google Scholar). In the third and fourth phases, Web searches were carried out on various stakeholders, including manufacturers, governmental agencies and non-governmental organisations/charities associated with Water, Sanitation and Hygiene (WASH) in the Global South. Findings This exercise expands the number of monitoring technologies considered in comparison to earlier review publications. Similarly, preceding reviews have largely focused upon monitoring applications in sub-Saharan Africa (SSA). This paper explores opportunities in other geographical regions and highlights India as a significant potential market for these tools. Research limitations/implications This review predominantly focuses upon information/data currently available in the public domain. Practical implications Remote monitoring technologies enable the rapid detection of broken water pumps. Broken water infrastructure significantly impacts many vulnerable communities, often leading to the use of less protected water sources and increased exposure to water-related diseases. Further to these public health impacts, there are additional economic disadvantages for these user communities. Originality/value This literature review has sought to address some key technological omissions and to widen the geographical scope associated with previous investigations.

Comparing brief video interventions to reduce public and self-stigma: Randomized control trial.

Stigma is a major mental healthcare barrier. This study compares the efficacy of two types of brief video interventions, targeting public and self-stigma, in reducing public stigma towards people living with psychosis. We hypothesized both interventions would similarly reduce public stigma and outperform the control group. As a secondary analysis, we explored the effect of familiarity with a person living with serious mental illness (SMI). Participants (N = 1215) aged 18-35 recruited through crowdsourcing were assessed pre- and post-intervention and at 30-day follow-up regarding five public stigma domains: social distance, stereotyping, separateness, social restriction and perceived recovery. Both videos present individual narratives using different approaches: the self-stigma video was created through focus groups, while the public stigma video portrays a single person's journey. A 3 × 3 analysis of variance (ANOVA) revealed a significant group-by-time interaction across all five stigma-related domains (p's < .001). Effect sizes (Cohen's d) ranged from 0.29 to 0.52 (baseline to post-intervention), and 0.18 to 0.45 (baseline to 30-day follow-up). The two video interventions did not significantly differ. Linear mixed modelling showed a significant difference between participants familiar and unfamiliar with people living with SMI for the public stigma video, with greater stigma reductions for unfamiliar participants. This study corroborates previous findings on the positive influence of social contact-based interventions on youth mental health perceptions. Results provide insights into the relationship between public and self-stigma and the impact that familiarity with SMI may have on the efficacy of stigma reduction efforts further validation in diverse groups is needed.

Sustainable Development and National Integration: A Catalyst for Enhancing Environmental Law Compliance in Nigeria

This study delves into the pivotal roles played by sustainable development and national integration in advancing legal compliance, environmental protection, and sustainability within Nigeria. Employing a doctrinal and conceptual legal research approach, it meticulously examines pertinent literature, international exemplars, and conducts an exhaustive analysis of primary and secondary legal sources, including the 1999 Constitution of the Federal Republic of Nigeria (as amended), the Climate Change Act of 2021, and relevant international instruments. An effort has been made to examine extant sustainable development practices, presenting an encompassing snapshot of the nation’s legal, environmental, and sustainability apprehensions, while also addressing the attendant challenges. Moreover, it undertakes a comprehensive evaluation of Nigeria’s prevailing legal framework concerning environmental protection, delving into its potential for long-term sustainability. The findings resoundingly underscore the potency of sustainable development as a strategic avenue for achieving legal compliance, environmental protection, and enduring sustainability. Importantly, the study unveils that the Sustainable Development Goals (SDGs) find manifestation within Chapter II of the Constitution, albeit in a non-justiciable form, thereby impeding the stride toward their attainment. Nevertheless, it accentuates the necessity for an approach that meticulously factors in Nigeria’s distinctive context and specific requisites, thereby fostering effectiveness through national integration, policy execution, effective communication, and collaborative synergy across stakeholders within both the public and private domains. Essential to the realization of SDGs’ objectives is a synergistic collaboration amongst the government, academia, and non-governmental organizations. This study illuminates the latent potential of sustainable development and national integration as efficacious strategies for propelling legal compliance, environmental protection, and sustainability. It proffers a recommendation for the assimilation of innovative paradigms that have proven successful in mitigating environmental degradation elsewhere. Ultimately, the study ardently advocates for comprehensive overhauls to systematically address Nigeria’s complex entanglements encompassing legality, environment, and sustainability. Furthermore, the study ardently champions the elimination of the provision stipulated in section 6(6)(c) of the 1999 Constitution as a crucial step towards realizing the SDGs’ objectives within Nigeria.

Unveiling parental perspectives: COVID-19 vaccination for children in India

ABSTRACT Background: Irrespective of the availability of a safe and effective COVID-19 vaccine and its success rate in adults, administering vaccines to children remains a challenge for healthcare workers. Children’s vaccine hesitancy among parents remains substantial and is exacerbated due to misleading information. In the present study, we aimed to investigate the hesitancy of parents and their concern about the vaccination and clinical characteristics of COVID-19 in their children. Methods: A cross-sectional web-based and offline survey comprised of questions about the demographic of children, the status of COVID-19 infection, its severity, vaccination status, sources of information, willingness, concerns and attitude of parents to vaccinate their children against the COVID-19 virus, was conducted. Overall, 846 responses from parents fulfilling the inclusion criteria were analysed by GraphPad Prism 5. Results: Out of the 846 responses, 51.2% (n = 433) of children were vaccinated against COVID-19. Out of vaccinated children (51.2%), 60.3% (n = 261) had experienced adverse events. Around 21% (n = 98) of children had a history of exposure to the SARS-CoV-2 virus. Among the infected children, 14.3% were asymptomatic and 85.7% had symptoms. Approximately 8% of children had comorbidities, with chronic lung diseases and asthma being the most common. Among the 846 participating parents, 59.5% were mothers and the remaining 40.5% were fathers. A total of 2.7% and 22.2% of parents were found hesitant to administer the COVID-19 vaccine to their children aged 15–18 years and below 15 years, respectively. Among hesitant parents, mothers were found slightly more hesitant as compared to fathers. Also, 35.5% of parents were found hesitant about their own COVID-19 vaccination. Furthermore, the concern for COVID-19 vaccine unwillingness among parents is that a child has already achieved natural immunity after COVID-19 infections (76.8%) followed by vaccine safety and its side effects. The motivating factors to convince parents for their children’s COVID-19 vaccination were if their doctors recommend it, followed by detailed information on vaccine side effects and efficacy in children. The most trusted source of information for the parents was found to be the healthcare workers. Conclusion: These results suggest that data and reviews regarding the safety and efficacy of the COVID-19 vaccine readily available in the public domain could serve as a highly effective strategy for promoting and implementing widespread vaccination among children. By providing easily accessible and comprehensive information, public health authorities can address parental concerns, dispel misconceptions and foster a greater sense of trust in the vaccination process.

Optimized Workflow for Proteomics and Phosphoproteomics With Limited Tissue Samples

AbstractProteomics and phosphoproteomics play crucial roles in elucidating the dynamics of post‐transcriptional processes. While experimental methods and workflows have been established in this field, a persistent challenge arises when dealing with small samples containing a limited amount of protein. This limitation can significantly impact the recovery of peptides and phosphopeptides. In response to this challenge, we have developed a comprehensive experimental workflow tailored specifically for small‐scale samples, with a special emphasis on neuronal tissues like the trigeminal ganglion. Our proposed workflow consists of seven steps aimed at optimizing the preparation of limited tissue samples for both proteomic and phosphoproteomic analyses. One noteworthy innovation in our approach involves the utilization of a dual enrichment strategy for phosphopeptides. Initially, we employ Fe‐NTA Magnetic beads, renowned for their specificity and effectiveness in capturing phosphopeptides. Subsequently, we complement this approach with the TiO2‐based method, which offers a broader spectrum of phosphopeptide recovery. This innovative workflow not only overcomes the challenges posed by limited sample sizes but also establishes a new benchmark for precision and efficiency in proteomic investigations. Published 2024. This article is a U.S. Government work and is in the public domain in the USA. Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: Protein extraction and digestionBasic Protocol 2: TMT labeling and peptide cleanupBasic Protocol 3: IMAC Fe‐NTA magnetic beads phosphopeptide enrichmentBasic Protocol 4: TiO2 enrichmentBasic Protocol 5: Fe‐NTA phosphopeptide EnrichmentBasic Protocol 6: High pH peptide fractionationBasic protocol 7: LC‐MS/MS analysis and database search

EXPLORING MULTI-REPRESENTATION LEARNING APPROACH IN MATHEMATICS ELEMENTARY SCHOOL STUDENTS

The purpose of this study was to analyze the effectiveness of the multi-representation learning approach in improving the understanding of mathematical concepts for elementary school students. The inclusion criteria in this review include studies that clearly apply a multi-representation approach in primary school settings and have relevant data to evaluate. Studies that do not provide adequate data or do not meet the inclusion criteria are excluded. Sources of information used to identify these studies include various academic databases such as ERIC, Springer, Elsevier, Ebschoohost, Taylor &amp;; Francis, the ACM Technical Symposium on Computer Science Education and MDPI publishers. The last search was conducted last month before the writing of this abstract. Methods of evaluating bias risk in included studies include methodological quality assessment, data quality control, and evaluation of the accuracy of the statistical analysis used. The main findings of the study are presented through thematic and narrative analysis, with a total of 75 scientific studies included in this review. The characteristics of relevant studies will be discussed further in the analysis which includes research content, study design, type of participants, learning domain, and year of publication. The findings show that with various forms of representation students can improve their understanding of mathematics from informal to formal levels, in addition to the fact that multi-representation learning can deepen students' understanding of complex mathematical concepts.

IJCM_325A: A Study on Relationship of Working Status of Rural Adult Women with Their Mental Health in a Rural Block of West-Bengal

Background: Mental health is a major public health concern worldwide. Studies showed that women are impacted at a higher rate than men. There is definite scarcity of studies in public health domain, which reflect the mental health and its correlates among rural women specially in relation to their working status. Objectives: Present study envisages to assess and compare the mental health status of working and non-working adult rural women and find out the factors associated with the mental health status of the study participants. Methodology: A community based; cross-sectional study was done between August 2023 to November 2023 in a rural area of Hooghly district. The sample consists of 394 women (197 working women and 197 non-working women) were selected using Multistage random sampling from 3 villages. Using the predesigned, pretested interview schedule and self-reporting questionnaire, all relevant information was collected. The collected data was analysed using descriptive and inferential statistics using SPSS 16 version. Institutional Ethics Committee clearance was obtained. Results: The mean age of the study participants was 37 (± 10.09) years. Most of them belonged to socio-economic class IV. Majority of them were currently married. Around 22.33% of working women and 28.40% of non- working women had poor mental health. The factors associated with poor mental health among working women were work place atmosphere (p&lt;0.01), attitude of colleagues (p=0.01), attitude of family members (p=0.01), social support satisfaction (p&lt;0.01) and the factors associated with poor mental health among non-working women were satisfaction status of getting financial aid from family members (p=0.016), domestic violence (p&lt;0.01). Conclusion: Awareness program regarding various aspects of mental health for both working and non-working women at family level, community level as well as at workplace could be a useful strategy in reducing this public health problem.

IJCM_271A: Concerns and Considerations of Using Artificial Intelligence in Research: A Qualitative Exploration among Public Health Residents in Kolkata

Background: The advent of Artificial Intelligence (AI) technologies has undeniably revolutionized various domains worldwide. AIs emergence has sparked significant interest from public health research domain due to its transformative potential. Thus, understanding its impact from the grass-root level: perspectives of the young research students, training in the field of public health is crucial. Objective: To explore the perceptions regarding the concerns and considerations for use of AI tools in research among students of a public health institute in Kolkata Methodology: A descriptive qualitative study was conducted among students pursuing MD degree. Focus group discussion (FGD) was done among the participants till data saturation was achieved. Audiogram, notes and sociogram were made during the FGD. Verbatims of the FGD were transcribed. Codes were obtained inductively and categorized. Data coding and analysis was done with NVivo 14 and data visualization was done using RAW graphs 2.0 Results: The various concerns that arouse were lack of trust, lack of knowledge, ethical issues, inadept to use and the impact of its use on the researcher. The young researchers also contemplated that there needs to be extensive training, ethical policy adaptation and self-checks required for its use. There is a growing body of thought to find solutions for the limitations in its use and its prospects. Conclusion: Most participants agreed to the fact their knowledge regarding its utilization was sub-optimal. There was a notable lack of trust in using AI tools for research among them. Addressing these challenges require a multifaceted approach involving extensive training initiatives, ethical policy adaptation to facilitate responsible AI use and a call for researchers to act as self-checks, while using AI in research

IJCM_26A: Validation of Rashtriya Bal Swasthya Karyakram (RBSK) screening tool in Screening of Developmental Delay (DD) among under 3-year children in Bengaluru.

Background: Most DD tools available are designed in western countries which are lengthy, time consuming and need expertise to administer. RBSK has a simple tool to screen children aged 0-6 for developmental delays and disabilities. However, the psychometric properties are not published in public domain to understand its validity Objective: To study psychometric properties of RBSK screening tool for Screening of Developmental Delay among under 3 year children in Bengaluru. Methodology: A cross-sectional study was conducted among 262 children were screened in area covering five PHCs in Bengaluru. The children, categorized into eight strata based on age and underwent evaluation for developmental delay using both by the RBSK screening tool and the Ages and Stages questionnaire (ASQ) which is considered as gold standard. sensitivity, specificity, positive and negative predictive value along with kappa statistics was calculated readings of both the study tools. Results: The study encompassed a near-equal proportion of male (145,55.3%) and female (117,44.7%) children. Notably, the RBSK screening tool detected developmental delays in 13% of cases, slightly higher than the 10.7% identified by the ASQ tool. The RBSK tool exhibited a sensitivity of 97.01%, specificity of 96.43%, positive predictive value of 99.56% and negative predictive value of 79.41%. The calculated Kappa value of 0.854 signifies substantial agreement with the gold standard ASQ tool, reaffirming the RBSK tool’s validity in identifying developmental delays. Good psychometric properties was observed across gross motor, fine motor, communication, psychosocial and problem solving domains. Conclusion: This study demonstrates good psychometric properties of the RBSK screening tool in terms of sensitivity, specificity, and positive predictive value. Its user-friendly administration enables screening a larger population, effectively identifying more children with developmental delays, thereby facilitating early interventions crucial for their well-being

Research on the mechanism and process optimization of pulsed laser descaling of Q235 steel for offshore equipment

Corrosion pervades in every field of the public domain, with a particularly pronounced impact in the marine environment. Laser descaling technology, heralded as an environmentally conscious method, is progressively gaining prominence within the maritime domain. The associated theories and procedures have incrementally assumed a central role in scholarly investigations. This study meticulously delves into the evolution of rust on the surface of the Q235 steel. By employing a salt spray test, we study the growth dynamics of the rust layer on the Q235 steel. The inquiry encompasses an examination of the growth rates in both transverse and longitudinal orientations, coupled with an analysis of the composition of rust layers. Leveraging ANSYS simulation software and thermodynamic analysis, we delve into the parameters governing the descaling process, serving as a crucial reference for subsequent experimental descaling endeavors. The results stand to offer valuable insights into the advancement of descaling technology.

MQTT Systems: A Survey

Abstract: In today's era, billions of intelligent devices populate Internet of Things (IoT) environments worldwide, spanning homes, hospitals, factories, and vehicles. Consequently, the interconnected device count continues to surge at a rapid pace. These devices engage in communication with one another and with various services using diverse communication protocols to transport sensor or event data. These protocols facilitate applications in gathering, storing, processing, describing, and analyzing data to address a myriad of challenges. Additionally, IoT endeavors to furnish secure, bidirectional communication between interconnected devices like sensors, actuators, microcontrollers, or smart appliances, and corresponding cloud services. This study shows that into the evolution of Machine-to-Machine (M2M) protocol research, including MQTT, AMQP, and CoAP, spanning the past two decades, underscoring MQTT's pronounced growth trajectory. Furthermore, we compile pertinent application domains of MQTT, recognized as the predominant M2M/IoT protocol, via an exhaustive literature review across major digital research repositories. Here quantitative assessment illuminates key MQTT-related studies published in the last five years, facilitating a comparative discourse on MQTT protocol's principal attributes, advantages, and constraints. Additionally, we propose a taxonomy to juxtapose the properties and features of diverse MQTT implementations, encompassing brokers and libraries available in the public domain, aiding researchers and end-users in judiciously selecting a broker or client library tailored to their requisites. Ultimately, we finalize the pertinent outcomes of our comparison, spotlighting unresolved issues warranting further research.

Religious Conflict Management: A Study on the Ansor Youth Movement and Muhammadiyah in Lamongan, Indonesia

Violence in the name of religion continues to sprout within Indonesian society. This article aims to describe the religious conflict resolution model of the NU Ansor Youth Movement and the Muhammadiyah Youth of the Paciran Lamongan Branch. This research employs a qualitative method with a sociological approach to religion, and data collection was conducted through interviews and the study of relevant literature. The findings of this study indicate that: 1) Both the NU Ansor Youth Movement and Muhammadiyah Youth reject violent models of preaching. 2) There is a difference in attitude towards perpetrators of violence, where the NU Ansor Youth Movement tends to adopt a non-accommodative firm stance, unequivocally rejecting and insisting that perpetrators of violence must be punished according to legal statutes, whereas Muhammadiyah Youth exhibits a firm-accommodative attitude, sternly condemning acts of violence but remaining willing to embrace and invite the perpetrators back to a tolerant and inclusive understanding. 3) The media of resolution employed include issuing advisory letters, press releases to the media, dialogues among community elements, conveying deradicalization insights through religious study sessions (Yasinan and Tahlilan), and the formation of Densus 99 Anti-Terror. 4) The conflict resolution model consists of two stages: long-term, aiming to build cadre awareness of the importance of a tolerant attitude and peaceful living through education, training, social and economic empowerment, ideological development, and the distribution of cadres to the public domain; and short-term, wherein preaching programs are executed sporadically and reactively at the time or after acts of violence to prevent the expansion and escalation of conflict.

Considerations for Generative Artificial Intelligence in the Development of Open Education Resources

The production of open education resources has contributed to increased access to academic literature and enhancement of global digital competency. While these public domain resources are primarily used in instruction, learning, and assessment academically, they are also used for corporate training programs. A primary advantage of open education resources is the ability to reuse, revise, remix, retain, and redistribute materials. The recent advancements in multi-modal generative artificial intelligence technologies provide the ability to produce of text, speech, audio, image, and video content that can be used for open education resources. This paper provides an overview of the potential benefits, risks, and considerations associated with the use of generative artificial intelligence systems to produce and contribute to open educational resources.

Perlindungan Hukum Terhadap Adat Pamali Kekerasan Dalam Rumah Tangga

Introduction: Domestic violence is prohibited because it has an impact from the private sphere to the public domain. It is inevitable, that the problem of domestic violence for some people is still seen as a disgrace in the family, so it is not worthy of being known by society in the social environment.Purposes of Devotion: To increase public awareness about the Importance of Legal Protection Against Customary "Pamali" Domestic Violence in Tutuwaru Village, Leti Island District, Southwest Maluku Regency. Method of Devotion: Conducted face-to-face through the lecture method by the speaker, then providing opportunities for participants to discuss and question and answer related to Legal Protection of Indigenous Pamali Domestic Violence.Results of the Devotion: The indigenous people of Tutuwaru Village further increase legal awareness for the creation of harmonious and prosperous families in the social environment of indigenous people, due to the lack of acts of domestic violence so that indigenous people with the village government together with the entire community can suppress the absence of domestic violence in the future.

TA2Viewer: A web-based browser for Terminologia Anatomica and online anatomical knowledge.

TA2Viewer is an open-access, web-based application and database for browsing anatomical terms and associated medical information on a computer or mobile device (https://ta2viewer.openanatomy.org/). It incorporates the official digital version of the second edition of Terminologia Anatomica (TA2) as published by the Federative International Programme for Anatomical Terminology (FIPAT), and adopted by the International Federation of Associations of Anatomists (IFAA) and other associations. It provides a dynamic and interactive view of the Latin and English nomenclatures. The organizational hierarchy of the terminology can be navigated by using a scrollable, expandable, and collapsible structured listing. Interactive search includes the official TA2 terms, synonyms, and related terms. TA2Viewer also uses TA2 term information to provide convenient access to other online resources, including Google web and image searches, PubMed, and Radiopaedia. Using cross-references from Wikidata, which were provided by the Wikipedia community, TA2Viewer offers links to Wikipedia, UBERON, UMLS, FMA, MeSH, NeuroNames, the public domain 20th edition of Gray's Anatomy, and other data sources. In addition, it can optionally use unofficial synonyms from Wikidata to provide multilingual term searches in hundreds of languages. By leveraging TA2, TA2Viewer provides free access to a curated anatomical nomenclature and serves as an index of online anatomical knowledge.

Computer Program for Primer Design for Loop-Mediated Isothermal Amplification (LAMP)

Introduction. To date, numerous methods of nucleic acid amplification have been proposed, and each method has a number of advantages and disadvantages. One of the most popular methods is Loop-mediated isothermal AMPlification (LAMP). Unlike thermocyclic reactions, such as PCR (polymerase chain reaction), which require three temperature changes and expensive equipment, in LAMP, the entire reaction takes place at one and the same temperature and at the maximum rate possible. An important component of LAMP-amplification is primers (usually 20–25 nucleotides), which need to be matched to a specific part of the nucleotide sequence. It is known that DNA sequence contains four nucleotides: A — adenine and T — thymine, G — guanine and C — cytosine. There is a huge variety of permutations of these nucleotides, and it is practically impossible to analyze such a large amount of data manually. Therefore, there is a need to use modern computer technologies. More than 150 computer programs have been proposed for the design of PCR primers, while for LAMP-primers there are less than 10 of them, and each of them has a number of drawbacks, e.g., in terms of the length of the analyzed site. Therefore, this work is aimed at developing a new domestic computer program for the design of specific primers for LAMP.Materials and Methods. The primer search algorithm was based on a linear search for a substring in a string, taking into account the criteria of primer selection for LAMP. The program complex of LAMP-primer design was implemented in Python programming language. The bioPython library was used to work with various DNA and RNA, and the Qt framework was used to develop the interface.Results. A modification of the direct sampling method using a stencil approach was proposed, taking into account the GC composition and annealing temperature of primers depending on their structure. A software package with a friendly interface was developed. It took into account the design criteria of primers: certificates of registration of computer programs (LAMPrimers iQ No. 2022617417 dated April 20, 2022, LAMPrimers iQ_loop No. 2023662840 dated June 14, 2023) were received. The program is in the public domain at https://github.com/Restily/LAMPrimers-iQDiscussion and Conclusion. The developed software packages can be used for research and analysis in molecular biology and genetics, to create diagnostic test systems that provide high sensitivity and reliability of detection of specific DNA and RNA. The software packages can be used in research institutes and laboratories engaged in the amplification of nucleic acids. The results of evaluating the selected sets of primers for the LAMP reaction were tested, and the effectiveness of working sets using the LAMPrimers iQ program was experimentally proven by the example of the detection of genetic material of the SARS-CoV-2 coronavirus.

Using Infographics to Go Public with SoTL

There has been a call to amplify the scholarship of teaching and learning (SoTL) and expand its reach by engaging with audiences outside the academy. In this paper, we share our journey in crossing disciplinary boundaries and creating a SoTL-informed infographic for public consumption. As the field of SoTL continues to evolve, infographics hold tremendous potential to communicate SoTL to various stakeholders, including educators, students, administrators, policymakers, and the public. We outline best practices in infographic development and the potential of infographics as a tool for taking SoTL public, emphasizing their visual appeal and effectiveness in conveying complex information. We conclude by discussing the implications of using infographics to advance SoTL communication. The efforts of our group serve as a valuable example of how infographics can be used to bring SoTL knowledge out of academia and into the public domain.

Sztuczna inteligencja vs prawo autorskie – pytanie o finał starcia. Futurologia, a może to już jutro?

This research paper concerns the copyright-law consequences of generating literary and artistic creations resulting from the “creative activity” of artificial intelligence (AI). The essence of the problem that rapidly gains practical significance boils down to the question whether, at present (de lege lata) and in the future (de lege ferenda), such creations can be protected under copyright law and who should possibly be considered to be the author. The legal-dogmatic analysis of the normative matter, the current state of science and the case law in force applicable here, shows that under the current legislation the creations generated by AI do not fall within the definition of creative work and do not form the subject of copyright as they were not created by human being. Therefore, the AI may not be considered to be the author and thus endowed with a copyright and even more a moral right to the work. In the de lege ferenda perspective, the proposals to cover AI-generated assets by protection outside the copyright law area, e.g. through related rights or the institution of work made for hire, are not fully convincing for axiological reasons, i.e. the difficulty of identifying a person who deserves to benefit from such protection. Nor can the proposal to grant subjective rights to AI itself be supported, since this would mean changing the axiom of the copyright law, namely that only a human being can be the author. If copyright is to survive as a right of a human creator, which should be advocated, then in the light of this regulation the literary and artistic creations generated by AI should remain in the public domain.