bluuebunny/crossref_metadata_2025 huggingface dataset:
The Prevalence and Impact of Trauma and Why Trauma-informed Care is Needed in Nursing Education
Authors: Stephany Kathleen
Published: May 2024

Chapter one explores the reasons why student nurses need to be educated in
trauma-informed care. Trauma-informed care endeavours to help people who have
experienced trauma and targets change at the organizational and clinical level with the
aim of improving client/patient outcomes. Various forms of adversity that exist are
presented, and we are informed that trauma is not merely a childhood occurrence but
may occur at any point across the lifespan. Stereotypical biases and racial stigma
experienced by the following special populations are explored, those with differing
sexual orientation or gender identity, older adults, refugees and immigrants, people of
colour, and Indigenous people. The role that bias and implicit bias play in structural
trauma aimed at specific populations is explained. An overview is given of the
following specific trauma-related responses, trauma triggers, acute stress disorder,
post-traumatic stress disorder, secondary traumatic stress, vicarious traumatization, and
compassion fatigue. The Four Core Assumptions of Trauma-informed Care as
recommended by the Substance Abuse and Mental Health Services Administration
(SAMHSA are explored, because they are foundational for providing traumaresponsive care,
and consist of realizing, recognizing, responding, and resisting retraumatization. Healthcare professionals are strongly encouraged to practice in a
trauma-responsive and trauma-sensitive manner. Incorporating trauma-informed
approaches into the Nursing School curriculum is recommended for the following
reasons. Adversity is prevalent in society, and high number of people who access
health services have experienced trauma. Student nurses are not currently learning
these skills in a comprehensive way in all schools. Student nurses may have a history
of trauma, and they are exposed to adverse and stressful events in clinical training. Two
Narrative Case Studies are presented. The first shares the story of a Counsellor who
developed compassion fatigue, and the second one reveals the complexity of the trigger
response. The following learning activities are suggested: connecting with the goodness
in life; changing prejudices and stigma; and participating in a trauma-sensitive practice
challenge. A self-care strategy that promotes self-compassion is included at the end of
the chapter.
Mitigate the Negative Effects of Secondary Traumatic Stress and Compassion Fatigue by Cultivating a Caring Pedagogy and Resilience
Authors: Stephany Kathleen
Published: May 2024

Students and practicing nurses are at risk of developing empathy-based
stress conditions related to caring for people who have been traumatized. Caring is a
known factor in all suggested interventions for empathy-based stress conditions.
Therefore, Chapter Five explores ways to mitigate the negative effects of secondary
traumatic stress and compassion fatigue through employing a caring pedagogy and
resilience. Caring pedagogy in nursing education is important because it incorporates
caring components into the delivery of the core curriculum, creates a community of
learning that prioritizes students, is inclusive, and engaging, and protects the emotional
integrity of student nurses. Noddings’ elements of moral education such as modeling,
dialogue, practice, and confirmation are identified as essential to a caring learning
environment. For example, student nurses can learn what it means to care by observing
the behavior of their instructor, by a dynamic exchange of ideas, by prioritizing caring,
and by encouraging the best in others. A learning environment that is caring must also
be based on civility and is the shared responsibility of both faculty and students. Selfcare is identified as a known strategy to reduce the emotional stress experienced by
nurses and student nurses. Watson’s Caritas processes are subsequently recommended
as the basis for self-care and consist of demonstrating sensitivity toward oneself and
everyone else, through spiritual practices that support loving, caring relationships.
Resilience consists of the ability to quickly return to normal functioning after
experiencing adversity. Resilience skills can be learned through the development of
protective factors and mechanisms and may prevent empathy-based stress conditions
related to trauma, can assist a trauma survivor to bounce back more quickly, and teach
people how to deal with the stress of everyday life. The following ways to cultivate
resilience in nurses are presented, building positive nurturing relationships and
networks; maintaining positivity; developing emotional insight; achieving life balance
and spirituality; and becoming more reflective. Three strategies to foster resilience in
nursing education include resilience training in the school curriculum; prioritizing role
modelling; and enabling generativity. Two Narrative Case Studies are presented. The
first one tells the story of how a Psychiatric Nurse developed the signs of secondary
traumatic stress after one of her clients ended their life through suicide. The second one
describes how a student nurse was unaware that she was experiencing emotional strain.
The following four learning activities are proposed, sharing examples of being cared
for; exploring ways to enhance learning; nurturing caring experiences in educational
settings; and implementing Watson’s caring processes and strategies to enhance selfcare. The Chapter ends by recommending a self-care challenge that promotes
emotional appraisal to manage negative emotions.
Introduction to Digital Transformation in the Education Sector
Authors: Khalid Abdul-Mumin , Owusu-Boateng Obeng
Published: May 2024

The social behaviors of humans have been profoundly impacted by recent
developments in hardware and software technologies, from education to health,
transport, manufacturing and trade. By transferring physical education into digital
formats, COVID-19's effects on education have significantly accelerated digital
evolution in Ghana and around the world. Education received a lot of attention during
the Industrial Revolution of the twenty-first century. However, a few of the difficulties
in getting data from the source to the end consumers are the expense of the
infrastructure, problems with network connectivity, and digital platforms. Another
criterion for assessing the progress of digitization and its effects on developing and
developed nations is the economic variety of the populace. Personalized learning,
academic advising, data collecting, management, and other areas are all heavily reliant
on digital transformation, which highlights a trend.
Navigating through Technology in Modern Education
Authors: Khalid Abdul-Mumin , Owusu-Boateng Obeng
Published: May 2024

Navigating through Technology in Modern Education explores the transformative impact of digital innovation in education. From introducing digital transformation to discussing the benefits and challenges, this book covers crucial topics like e-learning, artificial intelligence, big data, and the Internet of Things in education. With insights into factors for adopting technology and tailored learning experiences, this book equips readers with the knowledge to navigate the evolving landscape of modern education. Whether you're a seasoned educator or a newcomer, this book offers valuable insights into leveraging technology for enhanced learning experiences.
PENINGKATAN MOTIVASI DAN HASIL BELAJAR KIMIA SENYAWA HIDROKARBON MELALUI MODEL PEMBELAJARAN LEARNING CYCLE 5 FASE (LC5F)
Authors:   SMA Negeri 5 Malang, Rukisworo Lilik
Published: May 2024

Based on observations during teaching in class XI MIPA 2 SMA Negeri 5 Malang, students tend to experience difficulties in learning hydrocarbons. During learning, students are less motivated to do questions from the teacher, and are often confused in naming alkanes, alkenes, and alkynes if the structural formula is known. A learning model that can involve students to be active in learning and able to construct knowledge properly and correctly is needed in this case. Leraning Cycle learning model to increase students' motivation and learning outcomes. Because in learning using the Learning Cycle learning model, students can be actively involved in the learning process and students must construct their own knowledge. So in this case students are required to find their own concepts. The impact of the application of this learning model has been able to improve the learning outcomes of students in studying hydrocarbon compound material from 44% before the application of the model to 96% in cycle I and 100% in cycle II. The significant increase in cognitive learning outcomes is because in learning using the Learning Cycle learning model, students are required to find their own concepts with the guidance of LKPD, handouts, and guidance from the teacher. This is what makes the concept of hydrocarbons obtained by students really stick in the brain (good retention). The application of the Learning Cycle 5 Phase learning model in this study also increases the learning motivation of XI MIPA 2 class students in learning the material of hydrocarbon compounds. In cycle I there were 48% of students had motivated criteria and 52% of students had very motivated criteria. In cycle 2 there were 35% of students who had motivated criteria, and 65% of students had very motivated criteria. This shows an increase in the number of learners who are highly motivated. The increase in the number of motivated learners in the study was due to the use of interesting media (mollymood), interesting LKPD and handouts, providing contextual apperception, giving points to active learners, and giving exploration and elaboration time to learners.
ANALISIS KESALAHAN PENULISAN SOKUON DAN YO’ON PADA ANGGOTA KLUB BAHASA JEPANG MAN 2 KOTA MALANG
Authors:   Universitas Brawijaya, Ramadhanty Tarisa Nur , Husna Lailatul
Published: May 2024

The purpose of this research is to describe the errors in writing yo'on and sokuon in noun vocabulary made by Japanese language club members of MAN 2 Malang City. The method used in this research is a descriptive qualitative research method and the data analysed are the test results. The data analysis in this study was classified using Tarigan's theory of errors according to the perspective of surface tactics. This research was conducted against the background of several errors found in the writing of vocabulary in hiragana letters by students. This study focused on examining errors in the forms of yo'on and sokuon in noun vocabulary. Based on the test results that have been analysed, yo'on form errors are more common than sokuon form errors. Out of 5 vocabularies of yo'on form, in all vocabularies, there are some students who make mistakes in each vocabulary item. While from 5 vocabularies of sokuon form, students only made mistakes in 2 vocabularies, the other 3 vocabularies all students answered correctly. Then the type of error that is often made by students is the type of wrong formation error. From the results that have been analysed, there are 14 forms of wrong formation errors (misformation), while there are only 2 forms of omission errors (omission) and 1 form of addition error (addition).
THE INFLUENCE OF THE MATERIAL TYPE ON THE RESERVOIR AIR PRESSURE IN THE KNIFE TOOL HEATING FURNACE
Authors: Wijaya Ikhlasul Amal , Hermawan Rudi , Firizal Harlin , Ramadhan Anugrah Agung
Published: May 2024

A reservoir is a vessel or storage container used to store pressure resulting from the evaporation of a liquid. In its use, the Reservoir's constituent material must be good to produce maximum results. This experimental research aims to study the influence of the reservoir material types, such as aluminum, steel, and stainless steel, on the air pressure produced by each material[R1] . The experiment was conducted by aluminium, steel, and stainless steel material testing. The results showed that aluminum, steel, and stainless steel produce a pressure of 2.00 bar, 2.50 bar, 1.50 bar, respectively.. The comparison of results shows that the type of reservoir material will affect the final result of reservoir pressure.
THE EFFECT OF FLUID VARIATIONS IN THE RESERVOIR ON AIR PRESSURE IN KNIFE TOOL HEATING FURNACES
Authors: Ramadhan Muhammad Rizki , Firizal Harlin , Hermawan Rudi , Ramadhan Anugrah Agung , Setiyo Edi , Susiloningsih Esti
Published: May 2024

The stainless steel material reservoir tube can produce combustion steam from the heating furnace. The research objective was to determine the effect of variations in the type of liquid and air pressure efficiently used in the reservoir tube. The type of research used is pure experimental research. The medium used is mineral water, 10%, 20%, and 30% brine, and the Manufacturer's coolant is heated using a heating furnace at 110° C for 42 minutes and measured by a pressure gauge. The results of the tests carried out have the effect of differences in mineral water 1.50 bar or 1.48 atmosphere, 10% brine 1.50 bar or 1.48 atmosphere, 20% brine 2.40 bar or 2.36 atmosphere, 30% brine 3, 50bar or 3.45 atmospheres, factory coolant 1.75bar or 1.72 atmospheres. 30% salt water is more efficient and suitable for the stainless steel material reservoir heating process in producing steam under pressure, which is used in knife tools.
DESIGN AND BUILD A COCONUT HUSK CHOPPER MACHINE USING AN 8 HP GASOLINE ENGINE
Authors: Muchlisinalahuddin Muchlisinalahuddin , Apriyadi Yudi , Arief Rudi Kurniawan
Published: May 2024

The coconut frond cutter or coconut frond shredder is a device used to transform coconut fronds into small pieces, even turning them into a finely textured material. This study examines the design and development of a coconut-chopping machine that uses an 8 HP combustion motor. Structural analysis was performed on the machine frame by considering the maximum and minimum Von Mises Stresses. The analysis results show that the maximum Von Mises Stress in the frame is 1.670e+06 N/mm², while the minimum stress is 2.338e+04 N/mm². The displacement of the frame was observed at 2.642e-02 mm to 1.000e-30 mm. The safety factor of the frame was found to be 1.366e+02, indicating an adequate level of safety. Next, this study analyzed the shredding capacity of the machine. The analysis showed that the largest shredding capacity was 3619.30 kg/hour, which occurred at a high rotation of young fronds, producing fine shreds. Meanwhile, the smallest shredding capacity of 612.66 kg/hour occurs at low rotation of old fronds and produces coarse shreds. These results provide essential insights into using coconut shredding machines based on the rotation level and the processed material. This research contributes to the development of efficient and effective coconut processing technology.
DESIGNING AN ON-GRID SOLAR POWER PLANT AT THE WOMEN'S DORMITORY BUILDING OF AVIATION POLYTECHNIC JAYAPURA
Authors: Bernandos Markus , Perangin Angin Andi Frianto , Pratama Faridh Surya
Published: May 2024

Despite the abundance of solar energy potential in Indonesia, the utilization has not been optimal. PLN, as the state power grid provider, can not meet the increasing electricity demand in all regions of Indonesia. This research will discuss utilizing the potential of the On-Grid system PLTS planning on the Rooftop of the Jayapura Aviation Polytechnic Women's Dormitory Building in Tanjung Ria District, North Jayapura City. This PLTS design uses PvSyst programming to measure and analyze data from a complete solar PV system, aided by SketchUp Pro, to demonstrate 3D plan views. The result is data on the potential annual production of electrical energy, including the total energy produced, the energy distributed, and the value of the PLTS work ratio with data output. The configuration installed at the Poltekbang Jayapura women's dormitory is an AC Coupling On-Grid PLTS with 400 Wp Photovoltaic modules. From the PvSyst simulation that has been carried out, it can be obtained that the potential for electrical energy in the Jayapura Aviation Polytechnic Dormitory Building is 323,905 kWh / year with a PLTS capacity of 230 kWp with a Performance Ratio of 0,829.
Enhancing Thermal, Viscoelastic, and Mechanical Properties of Silicone Rubber Matrix through Reinforcements for Use as a Medical Implant
Authors: Hatami Dehnou Kianoush , Hadianfard M.J.
Published: May 2024

The use of silicone rubber as an implant is limited due to its weak properties. In this study, the impact of various reinforcements, such as TiO2 or SiO2 nanoparticles, carbon, or polypropylene fiber micro reinforcements, on the mechanical, thermal, and viscoelastic properties of silicone rubber composites with RTV-4125 matrix was investigated. The composites were evaluated through several tests, including tensile, compression, FTIR, TGA, DMTA, and water adsorption tests. It was found that the composites' tensile strength and compressive stress were increased by adding reinforcements, with the most significant impact on tensile strength observed for SiO2 and the most notable effect on compressive stress at a strain of 0.5 observed for polypropylene fiber. Moreover, the water absorption of the matrix was increased with the addition of reinforcements, with the highest increase observed for Titania nanoparticles. TGA analysis showed that all composites had higher thermal stability than the plain matrix, with the highest degradation temperature observed for the SR-C fiber composite and the highest degradation rate observed for SR-TiO2. Additionally, DMTA analysis revealed that TiO2 nanoparticles considerably decreased the glass transition temperature of the matrix (%28.5), while the other reinforcements had a negligible effect on this temperature. The introduction of reinforcements had a positive impact on the mechanical, thermal, and viscoelastic properties of silicone rubber composites, and the findings of this study can contribute to the development of new and improved silicone rubber composites for implant applications.
Mining Real-World Big Data to Characterize Adverse Drug Reaction Quantitatively: Mixed Methods Study
Authors: Yue Qi-Xuan , Ding Ruo-Fan , Chen Wei-Hao , Wu Lv-Ying , Liu Ke , Ji Zhi-Liang
Published: May 2024

Background

Adverse drug reactions (ADRs), which are the phenotypic manifestations of clinical drug toxicity in humans, are a major concern in precision clinical medicine. A comprehensive evaluation of ADRs is helpful for unbiased supervision of marketed drugs and for discovering new drugs with high success rates.

Objective

In current practice, drug safety evaluation is often oversimplified to the occurrence or nonoccurrence of ADRs. Given the limitations of current qualitative methods, there is an urgent need for a quantitative evaluation model to improve pharmacovigilance and the accurate assessment of drug safety.

Methods

In this study, we developed a mathematical model, namely the Adverse Drug Reaction Classification System (ADReCS) severity-grading model, for the quantitative characterization of ADR severity, a crucial feature for evaluating the impact of ADRs on human health. The model was constructed by mining millions of real-world historical adverse drug event reports. A new parameter called Severity_score was introduced to measure the severity of ADRs, and upper and lower score boundaries were determined for 5 severity grades.

Results

The ADReCS severity-grading model exhibited excellent consistency (99.22%) with the expert-grading system, the Common Terminology Criteria for Adverse Events. Hence, we graded the severity of 6277 standard ADRs for 129,407 drug-ADR pairs. Moreover, we calculated the occurrence rates of 6272 distinct ADRs for 127,763 drug-ADR pairs in large patient populations by mining real-world medication prescriptions. With the quantitative features, we demonstrated example applications in systematically elucidating ADR mechanisms and thereby discovered a list of drugs with improper dosages.

Conclusions

In summary, this study represents the first comprehensive determination of both ADR severity grades and ADR frequencies. This endeavor establishes a strong foundation for future artificial intelligence applications in discovering new drugs with high efficacy and low toxicity. It also heralds a paradigm shift in clinical toxicity research, moving from qualitative description to quantitative evaluation.
Disclosure Patterns of Opioid Use Disorders in Perinatal Care During the Opioid Epidemic on X From 2019 to 2021: Thematic Analysis
Authors: Wu Dezhi , Ng Minnie , Gupta Saborny Sen , Raynor Phyllis , Tao Youyou , Ren Yang , Hung Peiyin , Qiao Shan , Zhang Jiajia , Fillo Jennifer , Li Xiaoming , Guille Constance , Eichelberger Kacey , Olatosi Bankole
Published: May 2024

Background

In 2021, the United States experienced a 14% rise in fatal drug overdoses totaling 106,699 deaths, driven by harmful opioid use, particularly among individuals in the perinatal period who face increased risks associated with opioid use disorders (OUDs). Increased concerns about the impacts of escalating harmful opioid use among pregnant and postpartum persons are rising. Most of the current limited perinatal OUD studies were conducted using traditional methods, such as interviews and randomized controlled trials to understand OUD treatment, risk factors, and associated adverse effects. However, little is known about how social media data, such as X, formerly known as Twitter, can be leveraged to explore and identify broad perinatal OUD trends, disclosure and communication patterns, and public health surveillance about OUD in the perinatal period.

Objective

The objective is 3-fold: first, we aim to identify key themes and trends in perinatal OUD discussions on platform X. Second, we explore user engagement patterns, including replying and retweeting behaviors. Third, we investigate computational methods that could potentially streamline and scale the labor-intensive manual annotation effort.

Methods

We extracted 6 million raw perinatal-themed tweets posted by global X users during the opioid epidemic from May 2019 to October 2021. After data cleaning and sampling, we used 500 tweets related to OUD in the perinatal period by US X users for a thematic analysis using NVivo (Lumivero) software.

Results

Seven major themes emerged from our thematic analysis: (1) political views related to harmful opioid and other substance use, (2) perceptions of others’ substance use, (3) lived experiences of opioid and other substance use, (4) news reports or papers related to opioid and other substance use, (5) health care initiatives, (6) adverse effects on children’s health due to parental substance use, and (7) topics related to nonopioid substance use. Among these 7 themes, our user engagement analysis revealed that themes 4 and 5 received the highest average retweet counts, and theme 3 received the highest average tweet reply count. We further found that different computational methods excel in analyzing different themes.

Conclusions

Social media platforms such as X can serve as a valuable tool for analyzing real-time discourse and exploring public perceptions, opinions, and behaviors related to maternal substance use, particularly, harmful opioid use in the perinatal period. More health promotion strategies can be carried out on social media platforms to provide educational support for the OUD perinatal population.
The Development of a Digital Patient Navigation Tool to Increase Colorectal Cancer Screening Among Federally Qualified Health Center Patients: Acceptability and Usability Testing
Authors: Savage Leah C , Soto-Cossio Luz Estefhany , Minardi Francesca , Beyrouty Matthew , Schoonover Julie , Musella Jay , Frazier Michaela , Villagra Cristina N , Sly Jamilia R , Erblich Joel , Itzkowitz Steven H , Jandorf Lina H , Calman Neil S , Atreja Ashish , Miller Sarah J
Published: May 2024

Background

Federally Qualified Health Centers (FQHCs) are an essential place for historically underserved patients to access health care, including screening for colorectal cancer (CRC), one of the leading causes of cancer death in the United States. Novel interventions aimed at increasing CRC screening completion rates at FQHCs are crucial.

Objective

This study conducts user testing of a digital patient navigation tool, called eNav, designed to support FQHC patients in preparing for, requesting, and completing CRC screening tests.

Methods

We recruited English- and Spanish-speaking patients (N=20) at an FQHC in New York City to user-test the eNav website (2 user tests; n=10 participants per user test). In each user test, participants engaged in a “think aloud” exercise and a qualitative interview to summarize and review their feedback. They also completed a baseline questionnaire gathering data about demographics, technology and internet use, medical history, and health literacy, and completed surveys to assess the website’s acceptability and usability. Based on participant feedback from the first user test, we modified the eNav website for a second round of testing. Then, feedback from the second user test was used to modify and finalize the eNav website.

Results

Survey results supported the overall usability and acceptability of the website. The average System Usability Scale score for our first user test was 75.25; for the second, it was 75.28. The average Acceptability E-scale score for our first user test was 28.3; for the second, it was 29.2. These scores meet suggested benchmarks for usability and acceptability. During qualitative think-aloud exercises, in both user tests, many participants favorably perceived the website as motivating, interesting, informative, and user-friendly. Respondents also gave suggestions on how to improve the website’s content, usability, accessibility, and appeal. We found that some participants did not have the digital devices or internet access needed to interact with the eNav website at home.

Conclusions

Based on participant feedback on the eNav website and reported limitations to digital access across both user tests, we made modifications to the content and design of the website. We also designed alternative methods of engagement with eNav to increase the tool’s usability, accessibility, and impact for patients with diverse needs, including those with limited access to devices or the internet at home. Next, we will test the eNav intervention in a randomized controlled trial to evaluate the efficacy of the eNav website for improving CRC screening uptake among patients treated at FQHCs.
Enhancing functionality and scaling up of the electronic Integrated Diseases Surveillance and Response system in Uganda, 2020-2023: Description of the journey, challenges, and lessons learned (Preprint)
Authors: Mugasha Rodney , Kwiringira Andrew , Ntono Vivian , Nakiire Lydia , Ayebazibwe Immaculate , Kyozira Carol , Muruta Allan , Kasule Juliet N , Byonanebye Dathan Mirembe , Nanyondo Judith S. , Walwema Richard , Kakooza Francis , Lamorde Mohammed
Published: May 2024

BACKGROUND

In 2017, Uganda implemented an electronic Integrated Disease Surveillance and Response System (eIDSR) to improve data completeness and reporting timelines. However, the eIDSR system had limited functionality and was implemented on a small scale. The Ministry of Health (MOH), with support from the Infectious Disease Institute (IDI) and Health Information Systems Program Uganda (HISP-Uganda), upgraded the system functionality and scaled up its implementation.

OBJECTIVE

We describe the upgrade of the eIDSR system, its rollout, and its effect on disease surveillance in Uganda.

METHODS

We used the human-centered iterative process to upgrade eIDSR. The eIDSR rollout followed a consultative workshop to create awareness of the system among stakeholders. A curriculum was developed, and a national training of trainers (TOT) was conducted. These trainers cascaded the training to the District Health Teams (DHTs), who later cascaded the training to health workers. The training adopted an on-site training approach, where a group of national or district trainers would train new users at their desks.

RESULTS

The eIDSR system was upgraded to the DHIS2 2.35 platform, featuring faster reading and writing tracker data, handling over 100 concurrent users, and enhanced case-based surveillance features on Android and web platforms. From October 2020 to September 2022, eIDSR was rolled out in 68% (100/146) districts. Additionally, the system permitted prompt reporting of signals of epidemic-prone diseases.

CONCLUSIONS

Improving the functionality and the expanded geographical scope of the eIDSR system enhanced disease surveillance. Stakeholder commitment and leveraging existing structures will be needed to scale up eIDSR.
Genomic Testing in Patients with Kidney Failure of an Unknown Cause
Authors: Mallawaarachchi Amali C. , Fowles Lindsay , Wardrop Louise , Wood Alasdair , O'Shea Rosie , Biros Erik , Harris Trudie , Alexander Stephen I. , Bodek Simon , Boudville Neil , Burke Jo , Burnett Leslie , Casauria Sarah , Chadban Steve , Chakera Aron , Crafter Sam , Dai Pei , De Fazio Paul , Faull Randall , Honda Andrew , Huntley Vanessa , Jahan Sadia , Jayasinghe Kushani , Jose Matthew , Leaver Anna , MacShane Mandi , Madelli Evanthia Olympia , Nicholls Kathy , Pawlowski Rhonda , Rangan Gopi , Snelling Paul , Soraru Jacqueline , Sundaram Madhivanan , Tchan Michel , Valente Giulia , Wallis Mathew , Wedd Laura , Welland Matthew , Whitlam John , Wilkins Ella J. , McCarthy Hugh , Simons Cas , Quinlan Catherine , Patel Chirag , Stark Zornitza , Mallett Andrew J.
Published: May 2024

Key Points

Twenty-five percent of those with unexplained kidney failure have a monogenic cause.

Whole genome sequencing with broad gene panel analysis is a feasible diagnostic approach in nephrology.

Background

The cause of kidney failure is unknown in approximately 10% of patients with stage 5 chronic kidney disease (CKD). For those who first present to nephrology care with kidney failure, standard investigations of serology, imaging, urinalysis, and kidney biopsy are limited differentiators of etiology. We aimed to determine the diagnostic utility of whole genome sequencing (WGS) with analysis of a broad kidney gene panel in patients with kidney failure of unknown cause.

Methods

We prospectively recruited 100 participants who reached CKD stage 5 at the age of ≤50 years and had an unknown cause of kidney failure after standard investigation. Clinically accredited WGS was performed in this national cohort after genetic counseling. The primary analysis was targeted to 388 kidney-related genes with second-tier, genome-wide, and mitochondrial analysis.

Results

The cohort was 61% male and the average age of participants at stage 5 CKD was 32 years (9 months to 50 years). A genetic diagnosis was made in 25% of participants. Disease-causing variants were identified across autosomal dominant tubulointerstitial kidney disease (6), glomerular disorders (4), ciliopathies (3), tubular disorders (2), Alport syndrome (4), and mitochondrial disease (1). Most diagnoses (80%) were in autosomal dominant, X-linked, or mitochondrial conditions (UMOD; COL4A5; INF2; CLCN5; TRPC6; COL4A4; EYA1; HNF1B; WT1; NBEA; m.3243A>G). Participants with a family history of CKD were more likely to have a positive result (odds ratio, 3.29; 95% confidence interval, 1.10 to 11.29). Thirteen percent of participants without a CKD family history had a positive result. In those who first presented in stage 5 CKD, WGS with broad analysis of a curated kidney disease gene panel was diagnostically more informative than kidney biopsy, with biopsy being inconclusive in 24 of the 25 participants.

Conclusions

In this prospectively ascertained Australian cohort, we identified a genetic diagnosis in 25% of patients with kidney failure of unknown cause.
Optimización de trabajadores y estaciones de trabajo en líneas de ensamble multi-tripuladas mediante algoritmos genéticos
Authors: Seck-Tuoh-Mora J. C. , Anaya-Fuentes G. E. , Hernández-Romero N. , Medina-Marín J. , Barragán-Vite I. , López-Cabrera M. A.
Published: May 2024

Las líneas de ensamble son un mecanismo de producción que históricamente ha presentado beneficios económicos y de calidad en las organizaciones; sin embargo, diferentes problemas se presentan durante su ejecución. Entre estos destaca el problema del modelo de balanceo de líneas de ensamble con estaciones multi-tripuladas, el cual suele presentarse con mayor frecuencia en las organizaciones industriales que fabrican productos de dimensiones medianas y grandes, en comparación con el modelo de un solo tripulante por estación de trabajo; a pesar de ello, en la literatura encontramos una mayor tendencia a estudiar el segundo caso. Pocos estudios hacen referencia al primero. Adicionalmente, los métodos de búsqueda exhaustiva como los de programación lineal han encontrado barreras debido a la complejidad computacional, por lo cual las investigaciones sobre este problema se han centrado en utilizar heurísticos para su solución, en la búsqueda de algoritmos que sean cada vez más eficientes. Por lo anterior, el presente trabajo propone un algoritmo genético que en nuestro conocimiento no se ha utilizado en la búsqueda por minimizar el número de trabajadores y el número de estaciones de trabajo para el modelo de balanceo de líneas de ensamble con estaciones multi-tripuladas. Además, se propone una nueva función de costos la cual pondera el número de estaciones de trabajo y trabajadores, castigando soluciones con tiempos muertos altos para evitar su selección. Los resultados del algoritmo propuesto son evaluados mediante la comparación de instancias de prueba presentadas en la literatura. El algoritmo está disponible en .
La imagen rica como herramienta de expresión de la desigualdad de género en las organizaciones: una aproximación a través de sistemas suaves
Authors: Niccolas-Morales Heriberto , Licona-Olmos Jazmín Georgina , Garnica González Jaime , Ortega Reyes Antonio Oswaldo
Published: May 2024

La imagen rica de una situación problemática como herramienta de apoyo en los procesos de indagación previa a intervenciones de cambio para crear alguna mejora ofrece una alternativa viable y de gran utilidad para superar los retos enfrentados por las organizaciones en México en el contexto de la desigualdad de género. El artículo tiene como objetivo describir qué es una imagen rica en la metodología de sistemas suaves, las ventajas y desventajas que ofrece, así como el proceso de elaboración realizado para obtener una imagen rica de la desigualdad de género en las organizaciones del estado de Hidalgo. También se describe la imagen rica obtenida y se plantea una aproximación a la situación problemática representada por la desigualdad de género en las organizaciones. El método de investigación que guía el proceso se encuadra, por un lado, en el paradigma cualitativo, con revisión documental y gráfica sobre las imágenes ricas y la desigualdad de género en las organizaciones. Por otra parte, se utiliza información recabada a través de un cuestionario en línea, como apoyo para el reconocimiento de patrones. Como resultado se tiene una imagen rica de la desigualdad de género vista como un problema complejo y se concluye que esta fase de la metodología de sistemas suaves puede ser aplicable al estudio de la desigualdad de género y facilitar los procesos de intervención en busca de sensibilización y mejoras en los procesos de gestión en las organizaciones.
Cambios y continuidades en la identidad de mujeres inmigrantes guatemaltecas residentes en la Isla de la Piedra, Mazatlán (2018-2020)
Authors: Hernández-Gurrola Mayra Alejandrina , Peraza Noriega Brianda Elena
Published: May 2024

En el presente artículo se muestra la investigación realizada durante septiembre de 2018 y hasta junio de 2020, cuya base de estudio se centra en conocer los cambios y continuidades por los cuales atraviesa la identidad tras un proceso migratorio. La población de estudio fue un grupo de mujeres inmigrantes provenientes de Guatemala, con más de tres décadas residiendo en territorio mexicano, y cuyo lugar de residencia en la actualidad se ubica en la Isla de la Piedra, Mazatlán, Sinaloa. Para llegar a conocer la realidad de las mujeres entrevistadas utilizamos la técnica de relatos de vida orientados por la perspectiva etnosociológica, y recurrimos al análisis de contenido cualitativo para la examinación de la información recabada.
La teoría de la sucesión en perspectiva de la epistemología genética: análisis metateórico de la complejidad en Patagonia
Authors: Datri Leonardo A. , Gandini Marcelo L.
Published: May 2024

En este trabajo se desarrolla un análisis metateórico de la sucesión, a la luz de las ciencias físicas y biológicas, con el objeto de evaluar su capacidad predictiva en un caso concreto: la introducción de plantas euroasiáticas a la Patagonia. La teoría de la sucesión es uno de los cuerpos de conocimientos más desarrollados y consistentes del campo de la ecología. Con casi un siglo de desarrollo de enunciados que han robustecido su poder predictivo, no es aún una herramienta del todo aceptada para alcanzar la comprensión de los problemas de investigación en ecología y medio ambiente. La riqueza de observaciones y enunciados empíricos configuran tanto la robustez como la deficiencia por la escasa coherencia argumentativa entre ellos. La sucesión no escapa del contexto del debate epistemológico de las teorías biológicas y de la evolución por selección natural en particular, tan complejas como de difícil postulación para enunciados taxativos o “elegantes” como en la física y la química clásica. Pero la historia de la sucesión en perspectiva “piagetana” guarda avances y retrocesos que contrastan satisfactoriamente con las observaciones y con otros progresos en campos teóricos de la teoría de sistemas, la física probabilística, y, sin descontar la propia evolución epistemológica de las teorías biológicas, que la consolidan con gran poder predictivo y campo de desarrollo de la ecología, a distintas escalas desde poblaciones hasta paisajes.
Secured V2X communication using optimized prime field ECC architecture
Authors: Kamaraj A.
Published: May 2024

The objective of this research is to ensure a high level of security in various forms of vehicular communication (V2V, V2I, and V2N) and to support vehicles in safely receiving all keys and messages from Roadside Unit (RSU), other vehicles, or the network with the support of simple cryptographic techniques. Elliptic Curve Cryptography (ECC) is one of the many cryptographic techniques that offer a desirable response to this requirement. The Koblitz curve secp256k1 is supported by the designed ECC processor for 256-bit point multiplication and point addition. A powerful illustration of the "Divide and Conquer" strategy's ability to accelerate multiplication asymptotically is given by the Karatsuba algorithm. The ECC processor's multiplication operation is accelerated further by the incorporation of pipelining. With a maximum clock frequency of 238.40MHz, the proposed Karatsuba-based ECC processor executes 256-bit single point multiplication in 0.937ms, providing 273.21kbps throughput, and taking up 8.42k slices in a Virtex-7 FPGA. Scalar multiplication is extended by incorporating a pipeline by increasing the highest clock frequency by up to 7.97%, which decreases time consumption by 9.90% and boosts throughput by 10.99%. In terms of area, operating frequency, area-delay product, and throughput, the suggested pipelined Karatsuba multiplier based ECC processor performs better than the existing designs.
role of convolution neural networks in detecting cancer
Authors: Hatem M. Q.
Published: May 2024

Breast cancer has the second highest death rate among women, making it one of the most alarming cancers in terms of lethality. The number of breast cancer patients is predicted to substantially rise in the next years. Because early detection of cancer in general and breast cancer in particular, may save many lives, this stage must be completed precisely and without delay. As a result, developing an automated model to assist pathologists in correctly recognizing breast cancers and categorizing them as benign or malignant is critical. In this paper, we present a model that uses a Convolutional Neural Network (CNN) to effectively categorize breast cancers as benign or malignant based on histological findings. The suggested methodology is simple to use, provides quick results, and ensures precise breast cancer detection. The suggested model's loss value is 0.15066, while its accuracy value is 0.84934, according to the experimental data.
Control de juridicidad: vertiente internacional
Authors: García Ramírez Sergio
Published: May 2024

Este artículo se refiere a la primacía constitucional e internacional en la tutela de los derechos fundamentales (humanos) del individuo. Alude a los medios instituidos para proveer a dicha tutela, tanto en el plano interno como en el internacional o supranacional. Por ello invoca el juicio de amparo, el régimen de acciones de inconstitucionalidad y las controversias constitucionales, en los términos en que las ha regulado la reforma constitucional de 1994-1995. Se pone especial atención en los medios internacionales de control y en su desarrollo doctrinal y jurisprudencial, principalmente a través de la doctrina adoptada por la Corte Interamericana de Derechos Humanos, que ha incorporado novedades relevantes sobre el control de convencionalidad. El artículo analiza, entre otros extremos, la naturaleza de esta figura de control, que tiene —o debe tener, según el autor— un carácter jurisdiccional. Por ello sostiene la idea de que el control se halla en manos de autoridades dotadas de atribuciones jurisdiccionales.
Working Mothers: Good mothering, Parental Guilt and Work Volition
Authors: Sanil Srilakshmi
Published: May 2024

Abstract: Working mothers experience marked work-family conflict which negatively affects their career progression and mental well-being. This study aimed to determine the interrelationship between good mothering expectations, parental guilt and work volition in working mothers. The participants included a total of 150 working mothers between the ages of 21 and 59. The inclusion criterion was working mothers with children of ages 21 or below. The study included participants primarily from India (90.8%), with a smaller representation from Australia (0.7%), the UK (2%), the US (0.7%), Egypt (0.7%), Turkey (0.7%) and Romania (5.4%). Three scales were utilized: the Good mothering Expectations Scale, the Guilt about Parenting Scale, and Work Volition. The results indicate a weak significant correlation between traditional roles and parental guilt (Rho = .345). The significant F-statistic (14.137) with a very low p-value (000) suggests that there are statistically significant differences in parental guilt scores among the traditional roles. No statistically significant relationships were found between guilt about parenting and work volition. The results of the study indicate that working mothers who subscribe to traditional mothering roles face increased amounts of guilt.
EV Charging Station & Slot Booking System
Authors: Mayuri Ghegade , Priya Salve , Pratiksha Unde , Shubhangi Nikam , S Bhosale Swati
Published: May 2024

Abstract: In today’s world, Electric Vehicle (EVs) is drastically evolving. General public transport as buses, autos, taxis, etc., are rapidly being replaced by EVs, the major cause forthis isthe rapidly increasing fossil fuel price and the limited resource available. We observe people switching to EVs but still facing charging issues. The proposed system will work on this issue by displaying charging stations, providing the user with a slot at the nearest charging station, guiding them to the destination via GMAPS API, a Chabot for queries and displaying the battery percentage so that they are always aware of the currently available battery.
Hand Glide: Gesture-Controlled Virtual Mouse with Voice Assistant
Authors: K Kavyasree
Published: May 2024

Abstract: Hand Glide presents a unified system that uses the MediaPipe library for accurate hand landmark recognition and categorization, enabling smooth integration of gesture-based control (GBC) and voice-controlled assistant (VCA) features. The system allows users to effortlessly translate hand movements into actions such as mouse manipulation, clicking, scrolling, and system parameter adjustments by providing distinct classes for hand gesture recognition (HandRecog) and execution (Controller), as well as a main class orchestrating camera input and gesture control. In addition, Hand Glide also has VCA functionality, which uses speech recognition and synthesis libraries and natural language processing (NLP) techniques. With these tools, Hand Glide can reply to greetings, perform tasks like Wikipedia searches and website openings, and converse with users through the GPT-2 language model. By merging these features, Hand Glide providesusers with an interactive and intuitive means of computer control, with broad applications in user interfaces, accessibility solutions, and immersive experiences
Towards Contrastive and Data Driven Cloud Data Center Energy Prediction using Regression Analysis
Authors: Lakshmi G.S. Devi
Published: May 2024

Abstract: Data centers are the backbone of todays Internet and cloud computing systems. Due to the increasing demand for electrical energy by data centers, it is necessary to account for the vast amount of energy they consume. Energy modeling and prediction of data centers plays a pivotal role in this context. In this study, we address the challenge of predicting energy consumption in cloud data centers, crucial for managing their significant electricity demand. Despite numerous existing methods, there remains a lack of robust methodologies. To fill this gap, we propose a novel approach that incorporates aleatoric uncertainty estimation. Our method utilizes regression distributions to model this uncertainty, with parameters derived from regressive techniques. This yields energy consumption predictions as random variables drawn from these distributions. Additionally, we illustrate how these random variables can be aggregated to form probabilistic forecasts for diverse data center portfolios. Our methodology achieves three key advancements: 1) introducing a simple multiple linear regression model for fundamental series; 2) devising a unique method that combines quantile regression and empirical copulas to estimate joint distribution; 3) enhancing prediction accuracy through a weighted correction technique based on constrained quantile regression.
Automated Water Meter Reading through Image Recognition
Authors: Latha M. Madhuri
Published: May 2024

Abstract: In this paper, we propose a solution for reading an analog water meter automatically by digitalizing the meter. Since digital water meters are expensive, we retrofit the meter using Raspberry Pi, a camera, and an LED. Though the structure of the analog water meter is simple, consumes less power, and has high durability, it has some disadvantages. Primarily, it requires human effort for reading, which is time-consuming and causes inconvenience to users. To address this challenge, there is a need for an automated system. Thus, the project is implemented using image recognition techniques, specifically Optical Character Recognition (OCR), and Internet of Things (IoT). This method accurately detects the numerical values present on the meter, and this data is transmitted to ThingSpeak, an IoT platform. Overall, this project offers an effective solution for reading water meters and enhance the comfort and convenience of users.