bluuebunny/crossref_metadata_2025 huggingface dataset:
Recent Developments and Future Prospects of Natural Antimicrobial
Bioactive Metabolites Obtained from Endophytic Bacterial Isolate
Authors: Lal Moti , Neelam
Published: June 2023

Background:

Adathoda beddomei (Adosa), a kind of softwood, evergreen, perennial
shrub, has been used as a source of endophyte bacteria. Adhatoda beddomei has a wide variety of
chemicals, including anthocyanins, aminophylline, alkaloids, cardiac glycosides, isoprenaline,
triterpenoids, resins, flavonoids, tannins, sterol, saponins, etc. The root, stem, and leaf parts of Adathoda
beddomei are most often used in indigenous medicine. Moreover, the root bark is also used to
cure several conditions, including leprosy, fever, and bleeding.

Objective:

Some important bioactive metabolites were obtained from endophytes bacteria and analyzed
through various techniques (NMR, MASS, FTIR, HPLC, and UV- spectrophotometer) for
their bioactive secondary metabolites.

Methods:

In silico calculation was performed to reveal bioactive metabolites with the potential to
be antibacterial, and their primary mode of action may include dissolving bacterial and fungal cell
walls.

Results:

The antimicrobial activity of Adathoda beddomei was demonstrated against different pathogenic
and non-pathogenic bacteria. Identification of endophytes was done based on external morphological
characteristics with the help of a scanning electron microscope (SEM).

Conclusion:

Natural compounds derived from endophyte bacteria with a very low molecular mass can
be used to discover new and important structures for different pharmaceuticals and agrochemicals.
CircFAT1 Promotes the Proliferation and Invasion of Malignant Melanoma through
miR375-SLC7A11 Signal Axis
Authors: Lu Tao , Yang Danyang , Li Xiaoli
Published: June 2023

Background:

Circular RNA, as a member of noncoding RNA, plays an important role in the occurrence,
development and metastasis of tumor cells. So far, the correlation between circular RNA and malignant melanoma
remains obscure.

Methods:

RNA expression of circFAT1 and miR-375 in malignant melanoma (MM) tissues and cell lines was detected
by RT-PCR. The proliferation, cloning, migration and invasion of SK-Mel-28 and A375 cells were assessed using
CCK-8 test, clone formation and Transwell assay, respectively. CircRNA immunoprecipitation was used to validate the
relationship between circFAT1 and miR-375. The binding between circFAT1 and miR-375, as well as SLC7A11 and
miR-375 were verified by luciferase assay.

Results:

In our study，the circFAT1 was significantly overexpressed in the MM tissue than melanocytic nevi. Conversely,
the expression of miR-375 in MM tissue was lower than in melanocytic nevi tissue. The underexpression
of circFAT1 with siRNA plasmids significantly suppressed the proliferation, invasion and clone formation of MM cell
line. Mechanistically, circFAT1 positively regulates the expression level of SLC7A11 by sponging miR-375. The
promotive effects of circFAT1 on the proliferation and invasion ability of MM cells were reversed by the upregulation
of miR-375.

Conclusion:

circFAT1 promotes the proliferation, invasion and clone formation of malignant melanoma cells by improving
the expression level of SLC7A11 via sponging miR-375.
Our Contribution to Microwave-Assisted Conversions of Bioactive
Compounds
Authors: Das Biswanath , Reddy Nayaki Salva , Rathod Aravind Kumar , Avula Satya Kumar , Das Ratna
Published: June 2023

The microwave chemistry of several bioactive natural products and synthetic compounds was studied by us. The compounds of different types, such as alkaloid, terpenoid, lignan, etc. were considered for our investigation. Some indole compounds, as well as organosulfur and miscellane-ous carbonyl compounds, were also included. The substrates were irradiated under microwave irra-diation for a short time and the resulting products were characterized. The conversion was conduct-ed without using any solvent. The catalysts were not required in many transformations, but in some cases, catalysts, mainly heterogeneous catalysts were needed. The experimental procedures were convenient, less expensive, and generally eco-friendly. The interesting results of our efforts are briefly discussed in the present article.
Consolidation behaviour of particle reinforced aluminium-matrix powders with up to 50 vol.% SiCp
Authors: SPETH M.
Published: June 2023

Abstract. Aluminium-matrix composites (AMC) are produced in order to improve specific properties (e.g. mechanical, thermal or tribological) of the matrix alloy using discontinuous reinforcements like fibres or particles. If functional requirements of application specific components such as brake discs have to be met, reinforcement contents of more than 35 % may be required. Therefore, a new manufacturing route is currently being investigated at the Institute for Metal Forming Technology (IFU) of the University of Stuttgart, combining powder pressing with subsequent semi-solid forming to obtain near-net-shape components. A key challenge of this process route includes compacting the green bodies. In this contribution, therefore, powder pressing of AlSi7Mg0.6 and SiCp powders with up to 50 vol.% SiCp are investigated in order to gain a deeper understanding of the compacting behaviour of powder with particularly high reinforcement contents. During the investigations, homogenously mixed powders were consolidated to a cylindrical green body by uniaxial powder pressing in order to determine the compressibility of different AMC powder mixtures. At first, the influence of the consolidation pressure onto the reached density was analysed, resulting in compressibility curves as well as process limits for different amounts of reinforcement particles. Subsequently, the influence of particle size onto the achieved density as well as consolidation behaviour could be identified. Furthermore, the high tool wear due to the abrasive behaviour of the reinforcement is quantified in this paper.
Visuals for Emancipatory Technology: A Case Study in Co-Designing a Visual Language to Counter Online Gender-Based Violence on Indian Twitter
Authors: Mehta Twisha , Chakraborty Shagnik
Published: June 2023

This essay is an account of the visual design for Uli, a user-facing browser plugin to detect and moderate online gender-based violence on Twitter. The authors of this essay, who were involved as visual designers in the team that developed Uli, discuss the co-design process behind creating the visual narrative of such a tool to represent the collective labour in its creation by journalists, activists, community influencers, writers, technologists, and researchers engaged in the struggle against the interwoven caste, religion, gender and sexuality-based violence both online and offline. The essay finally sheds light on how such a visual identity and narrative can promote an alternate visual culture that challenges the dominant visual language of social media that's complacent in the propagation of online gender-based violence.
Book review: Jennifer Guiliano, A primer for Teaching Digital History. Ten Design Principles (Duke 2022)
Authors: Romein Christel Annemieke
Published: June 2023

Bookreview on teaching Digital History.
Аналитическое решение задачи о переносе немонохроматического направленного излучения в резонансно поглощающей среде
Authors: Ямщиков В.М.
Published: June 2023

In this work, a stationary problem analytical solution of the non-monochromatic directional radiation transfer through a medium filled with alkali metal atoms and a buffer gas is obtained. The three-level atom approximation was used to describe the level population kinetics. The processes of absorption and stimulated emission of photons, collisional mixing of the levels of the alkali metal atom fine structure, and spontaneous transitions were taken into account. The absorption of spontaneous radiation by the medium was not taken into account. Using the example of a medium consisting of potassium vapor and a helium buffer gas, the analytical and numerical solutions are compared.
Seesaw Effect Between COVID-19 and Influenza From 2020 to 2023 in World Health Organization Regions: Correlation Analysis (Preprint)
Authors: Wang Qing , Jia Mengmeng , Jiang Mingyue , Liu Wei , Yang Jin , Dai Peixi , Sun Yanxia , Qian Jie , Yang Weizhong , Feng Luzhao
Published: June 2023

BACKGROUND

Seasonal influenza activity showed a sharp decline in activity at the beginning of the emergence of COVID-19. Whether there is an epidemiological correlation between the dynamic of these 2 respiratory infectious diseases and their future trends needs to be explored.

OBJECTIVE

We aimed to assess the correlation between COVID-19 and influenza activity and estimate later epidemiological trends.

METHODS

We retrospectively described the dynamics of COVID-19 and influenza in 6 World Health Organization (WHO) regions from January 2020 to March 2023 and used the long short-term memory machine learning model to learn potential patterns in previously observed activity and predict trends for the following 16 weeks. Finally, we used Spearman correlation coefficients to assess the past and future epidemiological correlation between these 2 respiratory infectious diseases.

RESULTS

With the emergence of the original strain of SARS-CoV-2 and other variants, influenza activity stayed below 10% for more than 1 year in the 6 WHO regions. Subsequently, it gradually rose as Delta activity dropped, but still peaked below Delta. During the Omicron pandemic and the following period, the activity of each disease increased as the other decreased, alternating in dominance more than once, with each alternation lasting for 3 to 4 months. Correlation analysis showed that COVID-19 and influenza activity presented a predominantly negative correlation, with coefficients above –0.3 in WHO regions, especially during the Omicron pandemic and the following estimated period. The diseases had a transient positive correlation in the European region of the WHO and the Western Pacific region of the WHO when multiple dominant strains created a mixed pandemic.

CONCLUSIONS

Influenza activity and past seasonal epidemiological patterns were shaken by the COVID-19 pandemic. The activity of these diseases was moderately or greater than moderately inversely correlated, and they suppressed and competed with each other, showing a seesaw effect. In the postpandemic era, this seesaw trend may be more prominent, suggesting the possibility of using one disease as an early warning signal for the other when making future estimates and conducting optimized annual vaccine campaigns.
The Impact of UK Medical Students’ Demographics and Socioeconomic Factors on Their Self-Reported Familiarity With the Postgraduate Training Pathways and Application Process: Cross-Sectional Study (Preprint)
Authors: Davoudi Kaveh , Rakhecha Tushar , Corriero Anna Chiara , Ko Kar Chang Natalie , Ismail Roseanne , King Esther R B , Hollén Linda
Published: June 2023

BACKGROUND

UK medical graduates can apply for specialty training after completing a 2-year internship (foundation training). Postfoundation training application requirements vary depending on specialty but fundamentally require key skills such as teaching, research, and leadership.

OBJECTIVE

This study investigated whether medical student demographics impact their self-reported familiarity with the Post-Foundation Training Pathways (PFTPs) and Post-Foundation Application Process (PFAP).

METHODS

This was a cross-sectional study using a Bristol Online Survey. We invited all UK medical students to answer a range of questions about their demographics. Students were then asked to rank their familiarity with PFTPs and PFAP on a scale of 1 to 5 (1=least familiar and 5=most familiar). The responses were collected between March 2022 and April 2022 and exported for further analysis. Statistical analysis was conducted in Stata (version 17.1; StataCorp) using chi-square tests.

RESULTS

A total of 850 students from 31 UK medical schools took part. There was a significant difference between gender and self-reported familiarity with PFTPs (P<.001) and PFAP (P<.001), with male students expressing higher familiarity. Similarly, there was a difference between ethnicity and self-reported familiarity with PFTPs (P=.02) and PFAP (P<.001), with White students more likely to express higher familiarity than their Black, Asian, or Mixed Ethnic counterparts. Lastly, there was an overall difference between medical background and age and self-reported familiarity with PFTPs and PFAP (all P<.001), with students from medical backgrounds and older students being more likely to express higher familiarity.

CONCLUSIONS

The impact of gender, ethnicity, age, and medical background on students’ self-reported familiarity with PFTPs and PFAP is significant. Further studies are required to evaluate the impact of these factors on tested knowledge of PFTPs and PFAP and whether this impacts the success rate of postfoundation applications.
Understanding the Relationship Between Social Support and Online Health Information Sharing Intentions and Behaviour: A Meta-Analysis (Preprint)
Authors: deng shasha , Deng Xiaohu
Published: June 2023

BACKGROUND

Background: Empirical studies have revealed that social support is a crucial determinant that affects OHISI and OHISB in online health communities. However, there is an inconsistency in the relationship between social support and health information sharing.

OBJECTIVE

Objective: The aim of this review is to systematically review the studies for evidence how social support and its five distinct types (information, emotional, network, esteem, and tangible support) affect online health information sharing intention and behaviour.

METHODS

Methods: We conducted a meta-analysis that systematically accumulated current research findings. Studies that analyzed the effect sizes from 35 articles (N=35132) representing 64 empirical sample.

RESULTS

Results: we found that social support is moderately correlated with users' online health information sharing intention (OHISI) and strongly correlated with online health information sharing behaviour (OHISB). Moreover, network support significantly impacts OHISI, while esteem support has the most significant effect on OHISB. Further exploration revealed that the impact of different types of social support on online health information sharing intention and behaviour is moderated by three internal characteristics of the sharer (education level, sharer's identity, and type of information shared) and two external environmental characteristics of the sharer (social culture and platform type).

CONCLUSIONS

Conclusions: This systematic review will provide a rationale for valuable insights for online health communities and platform managers and a more robust theoretical foundation for future research in this field.

CLINICALTRIAL

NO
Factors affecting user acceptance of MHealth interventions in Parkinson’s Disease: A systematic literature review. (Preprint)
Authors: Khardali Amani , Lane Emma , Hughes Louise
Published: June 2023

BACKGROUND

The widespread development of digital health technologies and mHealth apps has the potential to overcome some of the challenges of managing Parkinson's disease in practice. The majority of research in this area typically focuses on assessing the quantitative measures rather than the acceptance and perspectives of the patients.

OBJECTIVE

A systematic review was conducted to identify studies exploring the barriers and facilitators of using mHealth apps to support the management of Parkinson's disease in practice and identify the factors that might affect the acceptance of these interventions from patients' and healthcare professionals' perspectives.

METHODS

We searched MEDLINE, EMBASE, Scopus, and Google Scholar databases up to August 2022. We used search terms related to ‘mHealth intervention,’ ‘Parkinson’s disease, and ‘acceptability.’ Study participants were either people with Parkinson's (PwP) or healthcare professionals (HCPs) for PwP. Interventions had to be delivered by a smartphone or tablet iPad and being implemented for use in clinical practice. Data was analysed thematically and organized by common themes observed across studies.

RESULTS

The initial literature search yielded 1,469 articles, of which 9 met the inclusion criteria included in this review. All interventions aimed to assess and track motor symptoms of Parkinson’s, 3 out 9 of the interventions had features to assess non-motor symptoms, and 4 out of 9 had a feature to monitor medication intake and adherence. Overall, mHealth interventions appeared to be acceptable to both PwP and HCPs, as they recognized their potential benefits in improving healthcare services with a few highlighted concerns. Several factors were identified that might be associated with mHealth acceptance and usability, including technological, individual, and organizational factors.

CONCLUSIONS

The review reinforces the reflect on end user needs (both PwP and HCPs) and requirements throughout the design process of the mHealth app for Parkinson's. The early involvement of end-users might lead to a more accurate understanding of needs and requirements when designing a mHealth intervention for PD, and ultimately influence the future acceptability and uptake of the mHealth intervention.
Exploring the Use of ChatGPT for Generating Chinese Reading Materials in Eye-Tracking (Preprint)
Authors: Huang Zilong , Jiang Jiahong , Xu Jiaheng , Zhou Yongjin
Published: June 2023

BACKGROUND

Prior research has uncovered the significance of eye-tracking experiment with text reading in neuroscience research for assessing cognitive function. Further studies have highlighted the need for more reading materials with higher levels of difficulty to ensure optimal experimental outcomes. Unfortunately, the current approach predominantly relies on laborious and inefficient manual production of such texts.

OBJECTIVE

This study aims to use ChatGPT to generate tailored Chinese reading materials for eye-tracking experiments with Chinese-sentence-reading-tests, taking into consideration the exceptional language analysis abilities of ChatGPT and its user-friendly accessibility worldwide.

METHODS

After selecting appropriate sentence from Chinese literary works, the high-frequency word in the sentences are replaced by ChatGPT with low-frequency word, resulting in sentence with increased reading difficulty.

RESULTS

The word frequency of the low-frequency words generated by ChatGPT notably decreases compared to the original high-frequency words, and the decrease ratio in word frequency can reach 82.3%. Employing the Wilcoxon Rank-Sum Test and T-test to assess the disparities between the low-frequency and high-frequency groups, the majority of groups exhibit P-values below 0.04.

CONCLUSIONS

The findings of this study highlight the varied effectiveness of ChatGPT in word replacement across different parts of speech. Nouns and verbs show superior substitution outcomes compared to adjectives. The performance also varies depending on the specific Chinese literary works employed, with superior performance in generating reading materials from contemporary Chinese literary works as opposed to modern ones.

CLINICALTRIAL

ChatGPT; Eye-Tracking; Reading Test; Chinese; Word frequency
Development of Interoperable Computable Phenotype Algorithms for Adverse Events of Special Interest to Be Used for Biologics Safety Surveillance: Validation Study (Preprint)
Authors: Holdefer Ashley A , Pizarro Jeno , Saunders-Hastings Patrick , Beers Jeffrey , Sang Arianna , Hettinger Aaron Zachary , Blumenthal Joseph , Martinez Erik , Jones Lance Daniel , Deady Matthew , Ezzeldin Hussein , Anderson Steven A
Published: June 2023

BACKGROUND

Adverse events associated with vaccination have been evaluated by epidemiological studies and more recently have gained additional attention with the emergency use authorization of several COVID-19 vaccines. As part of its responsibility to conduct postmarket surveillance, the US Food and Drug Administration continues to monitor several adverse events of special interest (AESIs) to ensure vaccine safety, including for COVID-19.

OBJECTIVE

This study is part of the Biologics Effectiveness and Safety Initiative, which aims to improve the Food and Drug Administration’s postmarket surveillance capabilities while minimizing public burden. This study aimed to enhance active surveillance efforts through a rules-based, computable phenotype algorithm to identify 5 AESIs being monitored by the Center for Disease Control and Prevention for COVID-19 or other vaccines: anaphylaxis, Guillain-Barré syndrome, myocarditis/pericarditis, thrombosis with thrombocytopenia syndrome, and febrile seizure. This study examined whether these phenotypes have sufficiently high positive predictive value (PPV) to ensure that the cases selected for surveillance are reasonably likely to be a postbiologic adverse event. This allows patient privacy, and security concerns for the data sharing of patients who had nonadverse events can be properly accounted for when evaluating the cost-benefit aspect of our approach.

METHODS

AESI phenotype algorithms were developed to apply to electronic health record data at health provider organizations across the country by querying for standard and interoperable codes. The codes queried in the rules represent symptoms, diagnoses, or treatments of the AESI sourced from published case definitions and input from clinicians. To validate the performance of the algorithms, we applied them to electronic health record data from a US academic health system and provided a sample of cases for clinicians to evaluate. Performance was assessed using PPV.

RESULTS

With a PPV of 93.3%, our anaphylaxis algorithm performed the best. The PPVs for our febrile seizure, myocarditis/pericarditis, thrombocytopenia syndrome, and Guillain-Barré syndrome algorithms were 89%, 83.5%, 70.2%, and 47.2%, respectively.

CONCLUSIONS

Given our algorithm design and performance, our results support continued research into using interoperable algorithms for widespread AESI postmarket detection.
Effects of Real-Time Pressure Map Feedback on Confidence in Pressure Management in Wheelchair Users With Spinal Cord Injury: Pilot Intervention Study (Preprint)
Authors: Vos-Draper Tamara L , Morrow Melissa M B , Ferguson John E , Mathiowetz Virgil G
Published: June 2023

BACKGROUND

Wheelchair users with a spinal cord injury (SCI) are at a high risk for developing pressure injuries (PIs). Performing weight shifts is a primary method of pressure management for PI prevention; however, individuals with SCI may lack confidence in their abilities to perform adequate pressure relief due to their lack of sensation. Real-time seat interface pressure mapping feedback may provide partial substitution for sensory feedback such that an individual’s confidence is improved.

OBJECTIVE

We aim to examine how confidence for pressure management by wheelchair users with SCI was impacted by providing access to real-time, on-demand seat interface pressure mapping feedback.

METHODS

Adults with SCI (N=23) completed self-efficacy questions addressing confidence around 4 factors related to performing weight shifts in this longitudinal, repeated-measures study. We evaluated the impact of providing standard PI prevention education and access to live pressure map feedback on confidence levels for performing weight shifts.

RESULTS

Access to live pressure map feedback while learning how to perform weight shifts resulted in significantly higher confidence about moving far enough to relieve pressure at high-risk areas. Confidence for adhering to the recommended weight shift frequency and duration was not significantly impacted by in-clinic education or use of pressure map feedback. Confidence that performing weight shifts reduces PI risk increased most following education, with slight additional increase when pressure map feedback was added.

CONCLUSIONS

Access to live pressure mapping feedback improves confidence about performing weight shifts that relieve pressure when provided in the clinical setting and demonstrates potential for the same in the home. This preliminary exploration of a smartphone-based pressure mapping intervention highlights the value of access to continuous pressure mapping feedback to improve awareness and confidence for managing pressure.

CLINICALTRIAL

ClinicalTrials.gov NCT03987243; https://clinicaltrials.gov/study/NCT03987243
La experiencia estudiantil “no se detiene” a pesar de la pandemia. Reflexiones desde la mirada de jóvenes estudiantes de la UNAM
Authors: Meneses-Reyes Marcela , Pogliaghi Leticia , López-Guerrero Jahel
Published: June 2023

La pandemia por COVID-19 y el confinamiento correspondiente llevaron a la suspensión de toda actividad académica presencial en la Universidad Nacional Autónoma de México (UNAM) y su traslado a la virtualidad. Además de las modificaciones a las maneras en que se toman y se imparten clases, este acontecimiento extraordinario develó las condiciones diferenciadas en que el estudiantado cursa sus estudios. Con el fin de comprender la experiencia estudiantil en este periodo, establecimos como objetivo explorar cómo se vieron afectadas sus prácticas y subjetividades en sus diferentes espacios de pertenencia como la familia, el trabajo y la escuela misma. Para ello, entre septiembre y octubre de 2021, aún en desarrollo de clases remotas, realizamos entrevistas a profundidad a jóvenes estudiantes de nivel superior de la UNAM. Los resultados muestran las experiencias diversas, tensas, contradictorias en los distintos momentos de la pandemia y las estrategias que desplegaron para dar continuidad a su vida universitaria.
Reforma Universitaria y diversificación de la población estudiantil. Trayectorias universitarias y representaciones sobre el estudiantado de la UBA en las primeras décadas del siglo XX
Authors: Carreño Luciana
Published: June 2023

El artículo analiza la población estudiantil de la Universidad de Buenos Aires (UBA), Argentina, en las primeras décadas del siglo XX. Se adopta una perspectiva de estudio que aborda las trayectorias estudiantiles y las representaciones sociales que acompañaron el proceso de crecimiento de la matrícula, la cual ha sido escasamente trabajada en la literatura académica sobre el tema. Para ello se toma como objeto a los legajos, solicitudes estudiantiles y normativas institucionales con el fin de analizar la diversificación de la matrícula con el ingreso de las mujeres y de estudiantes que representaban una primera generación familiar en acceder a la universidad. Las conclusiones resaltan que la circulación del término “clase media” referida a la población estudiantil fue escasa, pero que comenzaron a discutirse diferentes nociones, como la de “estudiantes pobres”, que ordenaban entonces el universo social. A su vez, dan cuenta del carácter limitado del crecimiento de matrícula en ese periodo y de la incidencia de concepciones normativas sobre el género y de restricciones en la oferta de educación secundaria en el acceso de las mujeres a la universidad.
Capacidades humanas de los jóvenes universitarios: validación de una lista específica
Authors: Zermeño-Flores Ana-Isabel
Published: June 2023

Desde el enfoque del desarrollo humano de Sen, se propone comprender la calidad de vida de los jóvenes universitarios a través de construir una lista específica de capacidades. Se aplica una metodología en tres pasos: primero, construir una lista arquetípica mediante listas consolidadas; después, investigación empírica para incluir el punto de vista de los insiders, y finalmente, validación de la lista a través de una prueba Delphi. Como resultado, se obtiene una lista específica de capacidades con 11 dimensiones, cuyo valor es su validez, replicabilidad y potencialidad para retroalimentar los estudios y la política pública en el campo del desarrollo.
Handwritten Text Recognition from Image
Authors: Joshi Kalpesh
Published: June 2023

Abstract: A computer vision program called Handwritten Text Recognition (HTR) attempts to recognize and translate handwritten text from scanned or photographed images. In this project, we suggest implementing an HTR system using Tesseract and OpenCV. English, Chinese, and Arabic are all supported by the popular open-source optical character recognition (OCR) engine known as Tesseract. It is employed to find and identify printed text within photographs. On the other hand, OpenCV is a well-liked computer vision library that offers several tools for processing and analyzing images. The pre-processing step of the proposed system uses OpenCV to increase the input image's quality and OCR accuracy. After that, Tesseract receives the pre-processed image for text recognition. The extracted text is then saved in a text file after being identified. To enhance the quality of the input image, the project will use several pre-processing techniques, including deskewing, noise removal, and binarization. With the help of a sizable dataset of handwritten photographs, the Tesseract OCR engine is taught to recognize handwritten text more accurately. The HTR system can be used in a variety of fields, including document analysis, historical manuscript digitalization, and postal automation. It can also be applied in academic settings to help students translate their notes and assignments. Therefore, it is anticipated that the proposed HTR system employing Tesseract and OpenCV will offer a reliable and effective method for identifying and transcribing handwritten text from photographs.
A Case Study on Single Drug Therapy in Kamala W.S.R to Jaundice in Neonate
Authors: Karigar Dr. Shivananda B
Published: June 2023

Abstract: Jaundice in neonate is commonly seen in about 60% of infants. In this case study, a baby who didn’t recovered even after phototherapy and 1month of treatment with modern medication, a single herb Bhumyamalaki (Phyllanthus amarus schum) swarasa along with sun light exposure was given. All biomarkers were within normal limits and baby was clinically normal after ayurvedic treatment
Analisis Nilai Karakter Gotong Royong pada Film Animasi A Bug’s Life
Authors: Rima Pramesti Sagita , Muhamad Taufik Hidayat
Published: June 2023

Education is a service that must be taken and accepted by every human being. The main objective of instilling primary education in children is to develop children's intelligence, personality, character and personality to produce children with noble characters. This study aimed to analyze the value of the cooperation character depicted in the animated film A Bug's Life. The method used in this study was descriptive qualitative with analysis content. The data was obtained from the animated film A Bug's Life. This study employed a documentation technique. Data analysis was done by reducing data, presenting data, and drawing conclusions. The assessment technique to check the validity of the data was a credibility test with techniques of extending observations and increasing perseverance. The findings showed that the animated film A Bug's Life has seven sub-values of cooperation characters. They are (1) Cooperation with the type of activities of collecting food together, creating and flying artificial birds; (2) Helping with the type of activities of helping friends who experience a disaster, such as getting lost, falling, and saving baby ants from the blaze; (3) Empathy with activities of empathizing with friends who are crushed by leaf stems, falling, and tumbling over; (4) Positive dependence on activities of assisting friends who need help; (5) Concern with social care activities with the attitude of caring about the life of the lives of creatures around them and caring for the damaged environment; (6) Solidarity with the activity of assisting friends who are facing problems; (7) Deliberation with an activity of finding a way out to fight the evil grasshopper mob
Pengembangan Media 3D Berbasis Augmented Reality Menggunakan PBL Materi Penggolongan Hewan untuk Meningkatkan Self Esteem Siswa Kelas V SD
Authors: Kristina  , Fatih Mohamad , Alfi Cindya
Published: June 2023

Many media can be used as innovations in learning, and these media can be physical or technological-based. One of the technological-based media is augmented reality-based media. This research aims to determine the process of making 3D media based on augmented reality animal classification material, knowing the validity and feasibility of the media, and find out whether the development of PBL-based augmented reality media animal classification material can increase the self-esteem of grade V students of SD Islam Hasanul Amin, Blitar Regency. The method used in this study is Research and Development (R&D) with research stages of ADDIE model development. The field trial design used is Pre-questionnaire and Post-questionnaire Control Group Design using experimental and control classes. The results of this study obtained the validity and feasibility of 3D media based on augmented reality animal classification material obtained a total value of 88.49%, so this media is very valid / very feasible for use in learning. In addition, it was found that Ho was rejected and Ha was accepted, which means that there are differences in students' self-esteem results by using learning using augmented reality-based media and applying the PBL model, where the self-esteem of students who use augmented reality-based media by applying the PBL learning model is better than students who use conventional learning
Characteristics of punishment for property embezzlement and appropriation by military personnel through abuse of office
Authors: Sobko Ganna , Chenshova Natalia , Viunyk Maksym , Duiunova Tetiana , Palii Evgenia
Published: June 2023

The article is focused on the analysis of legislative regulation of sentencing and exemption from punishment of persons who have committed criminal offenses connected with the appropriation and embezzlement of military property by military personnel through the abuse of official position. The variability of responsibility for the appropriation and embezzlement of military property was analyzed, beginning with the Criminal Code of 1960, the effective Criminal Code of 2001, and the draft of new criminal legislation on this criminal offense. This study employed a comparative legal analysis of responsibility according to administrative and criminal legislation, defines the level of punishment for the committed offenses, and presents. The author’s classification of disciplinary, administrative, and criminal responsibility. Criminal offenses related to corruption were also analyzed and the restrictions that cannot be applied to persons who have committed corruption offenses were investigated. This study also proposes a list of corrupt criminal offenses, explores possibilities for mitigating criminal liability for persons who have committed corruption criminal offenses that would not exceed the ban on mitigating criminal responsibility for corruption offenses, and considers the possibility of imposing additional types of punishment to persons who have committed criminal offenses in the area of the appropriation and embezzlement of military property. Statistical data on administrative and criminal proceedings on this issue were analyzed.
The middle classes and socio-spatial transformations in the metropolises of Rio de Janeiro and São Paulo: 2000-2010
Authors: Cardoso Adalberto , Préteceille Edmond
Published: June 2023

The first decade of the twenty-first century in Brazil was marked by significant economic, social and political changes: a substantial reduction in income inequalities; a considerable decline in unemployment and rise in formal employment; social policies lifted a sizable portion of the population out of poverty; and increased investments in education, health, housing, urban infrastructure, and culture, among others, all of which resulted in reducing inequalities on multiple levels. Against this background, and bearing in mind the historical dual character of the Brazilian city, the question that this article sets out to answer is: has the multidimensional reduction of inequalities resulted in a decline in urban segregation and inequalities? In view of the aforementioned changes, our hypothesis is that the answer to this question is positive. To demonstrate this, the article uses data from the 2000 and 2010 demographic censuses, and compares the metropolitan regions of Rio de Janeiro and São Paulo, based on significant methodological innovations in the way the categories of analysis are constructed, vis-à-vis the existing studies on the subject.
EKSISTENSI POLITIK PEREMPUAN ACEH MENJELANG PEMILIHAN UMUM (PEMILU) 2024
Authors: Zuriah Zuriah , Saputra Teuku Amnar
Published: June 2023

Islam sees that women are not only domestic creatures (home) who are not allowed to enter and participate in the public (political) sphere. Men and women are given the same rights to contribute in all fields whether social, political, legal, technological development, and so on. Based on this background, this study tries to analyze the position of Acehnese women's groups and their existence ahead of the 2024 elections. This research was conducted using a historical approach (Historical Approach). The historical approach was taken in order to trace the history of women's participation in politics in Aceh from time to time by analyzing descriptive, comprehensive, holistic and complete data. The results of this study indicate that: First: The history of women's participation in politics in Aceh is demonstrated by the central role of a number of female figures in formal politics in the region. Historically, Acehnese women, apart from having the ability to lead and govern, also had significant influence from a political perspective, which succeeded in providing protection and legal certainty to women. Second: The political existence of Acehnese women ahead of the 2024 election is very inclusive. UUPA as legal legality is more progressive because it guarantees gender equality in it, and even explicitly guarantees the protection and equality of women. Even so, there are many gaps in women's ideology that raise their own challenges for Acehnese women's practical political candidates in the upcoming 2024 general elections.
IJMA’ DALAM USHUL FIKIH
Authors: Yasir Muhammad
Published: June 2023

In Islamic legal theory (uṣul al-fiqh), ijmam is the third source of law after the Koran and sunnah (hadith). During the early legal schools of thought, the position of ijmaid was fourth. There was a shift in position after entering the Imam ash-Shafi'i period, and it was strengthened again in the classical period, the function and position of ijmaa became static, rigid, formal, final, not prospective for the future, and did not allow ijmaat to occur in the future. come. The concept of ijmaat during the early legal schools of law was a principle of justification to state the legitimacy of various different opinions, as an effort to find common ground and agree in establishing syar'i law. Al-Qur'an and sunnah are the propositions that create, while qiyas, ijmaak, and others are the propositions that reveal in finding the law. The concept of Ijmak was originally something dynamic and there was a harmonious integrative relationship between sunnah, ijtihad and ijmaak, but after the ash-Shafi'i period, ijmaq changed and shifted to be static, formal, not prospective for the future, the object of study is very limited, and Ijma is only possible during the friendship period, in the future it is not possible. It was even worse in the classical period, ijmaq became something that was final, and could not be changed until "the door to ijtihad was closed", conformity developed and madhhab fanatics. The model of consensus that is needed in this modern era is democratic consensus organized in the form of legislative institutions at the national and international levels. These institutions are needed to accommodate various interests and agreements in every nation-state, and the international community to discuss crucial international issues, such as humanitarian, human rights, justice, economic, and terrorism problems regardless of ethnic, racial, religious and cultural backgrounds, the important thing is that we all have a commitment to improving human life in the international world. And the results of formal and non-formal consensus can in time be changed again in line with developments in the situation and conditions of modern times.
Isolator Detection in Power Transmission Lines using Lightweight Dept-wise Convolution with BottleneckCSP YOLOv5
Authors: İNAL ATİK İpek
Published: June 2023

The detection of insulators is of great importance in power transmission lines. This is because accurate detection ensures reliability and continuity of energy transmission, preventing line interruptions. The proposed method in this study utilizes the DWB-YOLOv5 (Dept-wise convolution with BottleneckCSP YOLOv5) model to effectively detect insulators, contributing to the safe and uninterrupted operation of power lines. In the suggested approach, the DWB-YOLOv5 model is employed to detect insulators. The bottleneckCSP module enhances the accuracy of targets at various scales, while the depth-wise c2onvolution module assists in reducing the model's complexity. Images undergo preprocessing steps such as automatic orientation and resizing. The preprocessed images are fed into the DWB-YOLOv5 model to extract deep features, perform object detection, and conduct classification. The insulator detection model obtained through this method exhibits a minimum of 8.53% better mean average precision (mAP) performance compared to existing methods. This study represents a significant step towards ensuring the safe and uninterrupted operation of power transmission lines. Accurate detection of insulators facilitates the smooth functioning of lines, ensuring reliability and continuity in energy transmission. The proposed method offers important advantages such as high accuracy, lightweight design, and efficiency.
Proposed Thalmann algorithm air diving decompression table for the Swedish Armed Forces
Authors:   Department of Mathematics and Natural Sciences, Blekinge Institute of Technology, Karlskrona Sweden, Silvanius Mårten ,   Swedish Armed Forces Diving and Naval Medicine Centre, Karlskrona Sweden, Rullgård, Hans ,   Department of Mathematics and Natural Sciences, Blekinge Institute of Technology, Karlskrona Sweden, Ekström Magnus ,   Department of Respiratory Medicine and Allergology, Institution for Clinical Sciences, Lund University, Lund, Sweden, Frånberg, Oskar ,   Department of Mathematics and Natural Sciences, Blekinge Institute of Technology, Karlskrona Sweden,   Department of Respiratory Medicine and Allergology, Institution for Clinical Sciences, Lund University, Lund, Sweden
Published: June 2023

The Swedish Armed Forces (SwAF) air dive tables are under revision. Currently, the air dive table from the U.S. Navy (USN) Diving Manual (DM) Rev. 6 is used with an msw-to-fsw conversion. Since 2017, the USN has been diving according to USN DM rev. 7, which incorporates updated air dive tables derived from the Thalmann Exponential Linear Decompression Algorithm (EL-DCM) with VVAL79 parameters. The SwAF decided to replicate and analyze the USN table development methodology before revising their current tables. The ambition was to potentially find a table that correlates with the desired risk of decompression sickness. New compartmental parameters for the EL-DCM algorithm, called SWEN21B, were developed by applying maximum likelihood methods on 2,953 scientifically controlled direct ascent air dives with known outcomes of decompression sickness (DCS). The targeted probability of DCS for direct ascent air dives was ≤1% overall and ≤1‰ for neurological DCS (CNS-DCS). One hundred fifty-four wet validation dives were performed with air between 18 to 57 msw. Both direct ascent and decompression stop dives were conducted, resulting in incidences of two joint pain DCS (18 msw/59 minutes), one leg numbness CNS-DCS (51 msw/10 minutes with deco-stop), and nine marginal DCS cases, such as rashes and itching. A total of three DCS incidences, including one CNS-DCS, yield a predicted risk level (95% confidence interval) of 0.4-5.6% for DCS and 0.0-3.6% for CNS-DCS. Two out of three divers with DCS had patent foramen ovale. The SWEN21 table is recommended for the SwAF for air diving as it, after results from validation dives, suggests being within the desired risk levels for DCS and CNS-DCS.
Preview control for discrete-time periodic LPV systems based on LFR
Authors: Li Li , Zhang Yaofeng , Ye Hui
Published: June 2023

In this study, we present a novel L norm-based
preview tracking controller design for discrete-time periodic linear
parameter-varying (LPV) systems based on a linear fractional
representation (LFR). It also proposes a robust controller design method
using actions that are integral and preview to achieve excellent
tracking performance and output constraints assuming that the reference
signal may be previewe. First of all, an augmented error system (AES)
with future knowledge about related signals was performed for a linear
periodic system using LFR, transforming a control issue with the preview
leading to a stability issue. The proposed conditions depend on using
slack variables and decision matrices related to LFR to generate novel
preview control. Second, Lyapunov functions dependent on parameters and
full-block multipliers were addressed to achieve synthesis situations
that are less conservative for discrete-time periodic LPV/LFR systems,
which were expressed as linear matrix inequalities (LMIs) to produce
reliable output and condition feedback with preview actions. In the end,
the efficiency of the proposed control methods was demonstrated based on
two numerical cases.
Security-Constrained Active Power Curtailment Considering Line Temperature and Thermal Inertia
Authors: Bolgaryn Roman , Wiemer Jan , Scheidler Alexander , Braun Martin
Published: June 2023

We introduce a novel method to determine cost-optimized Active Power
Curtailment (APC) of Renewable Energy Sources (RES) considering weather
dependent Dynamic Line Rating (DLR). A new formulation of the
Security-Constrained Optimal Power Flow (SC-OPF) is developed and
applied in a case study. We demonstrate the reduction of the required
preventive APC in the (N -0) case for (N -1) secure grid operation due
to the consideration of thermal inertia of overhead power lines.
Considering thermal inertia allows relying on curative APC that is
activated only after an (N -1) situation occurs. The overhead power line
temperature, calculated with the temperature dependent power flow, acts
as a new limit for line loading and releases unused transmission
reserves. The power system can be utilized to a greater extent, with a
reduced demand for congestion management.
Vulnerable Node Identification Method for Distribution Networks Based on Complex Networks and Improved TOPSIS Theory
Authors: Jiang Enyu , Zhang Wentao , Xue Ang , Lin Shunfu , Mi Yang , Li Dongdong
Published: June 2023

A method for identifying vulnerable nodes in distribution networks is
proposed, which is based on complex networks and optimized TOPSIS. This
method aims to address the issues of one-sided evaluation indicators and
inaccurate indicator weights that are present in existing methods for
identifying vulnerable nodes in distribution networks. Based on the
theory of complex networks, a comprehensive set of vulnerability
indicators for distribution network nodes is constructed by considering
both the topology structure and system operation status of the
distribution network. The TOPSIS comprehensive evaluation model for
optimization is proposed to enhance the selection process of optimal and
worst indicator values. The advantages and disadvantages of each
indicator are characterized using Mahalanobis distance. The calculation
of proximity is optimized by establishing a virtual negative ideal
solution, which makes the identification of vulnerable nodes more
reasonable. The simulation results demonstrate that this method is more
effective in identifying vulnerable nodes in the power grid compared to
traditional methods, and has significant practical applications.