bluuebunny/crossref_metadata_2025 huggingface dataset:
Experiences of Bachelor of Science Nursing Students Participating in Peer Mentorship in Kenyan Universities
Authors: Anne A. Okanga  , John M. Okoth  , Damaris A. Ochanda
Published: November 2023

Peer mentoring provides opportunity of a higher skilled or experienced individual to support the lesser inthe same category with benefits being experienced by both. Peer mentors eventually perceive the process astransformational born out of desire to help. Due to the nature of the course intensiveness of nursing, the nursingstudent mentoring experiences demonstrate a mutually beneficial relationship. The study aimed at exploringExperiences of Bachelor of Science Nursing Students Participating in Peer Mentorship in Kenyan Universities.The study was qualitative conducted in three universities that had participated in a peer mentorship programbetween January to august 2020 involving 50 peer mentors. Data collection involved individual interviews andfocused group discussions. Data was analyzed thematically. Findings revealed 3 themes that emerged describingchange that occurred in the peer mentor and these were: Development of social interaction abilities, Developmentof stress management skills and Development of resiliency. Peer mentors felt that the experiences helped producea lot of change in them in as much as the intension was to support peer mentees. The study concludes that peermentorship is beneficial in promoting both individual mentor as well as institutional educational and socialgoals. The study recommends utilization of peer mentorship in institutions of higher learning since it benefitsboth the mentor and mentee.
Assessing PICU Staff Nurses’ Knowledge toward Delirium in Pediatric Patients
Authors: Hanin Hussian Bantan
Published: November 2023

Background:Delirium is frequently under diagnosed and under treated in Pediatric Intensive Care Units (PICU). Both adult and pediatric literature have noted the significance of detecting and treating PICU delirium. Delirium lengthens hospital stays, the duration of mechanical ventilation, and the Intensive Care Unit (ICU) and PICU morbidity. Method: The goal of this study was to use a brief questionnaire to assess pediatric critical care nurses’ current understanding of delirium and its risk factors. Assuming that PICU nurses lack the necessary information to accurately screen for and diagnose delirium in critically ill children before a focused nursing educational intervention. To gauge current understanding regarding delirium in children, a 10-bed PICU distributed a 16-question online survey to all PICU nurses.Results: The response rate was 84% (26/31). Lack of knowledge was found that only two staff nurses (2/26; 8%) who properly responded when asked whether administering benzodiazepines is beneficial in treating delirium when asked about the use of these drugs to treat the condition. In addition, a family history of dementia predisposes a patient to delirium was another question that some participants correctly answered (4/26; 15%). Lastly, common incorrect answers when using the Glascoma Scale (GCS) as a diagnostic tool to identify delirium in pediatric patients, some staff nurses frequently give the incorrect response that delirium always manifests as a hyperactive, confused state, and those pediatric patients typically do not remember being delirious (5/26; 19%). Conclusion: The survey’s findings revealed knowledge gaps about the causes, symptoms, and treatments of pediatric delirium in critically ill children. Before the unit-wide adoption of a delirium screening and prevention program, PICU staff members urgently need to receive nursing education concerning pediatric delirium and associated risk factors, particularly regarding screening procedures and pharmacologic risk factors.
Student Nurses’ learning outcome and perceptions: Comparison of effectiveness of Online blended learning, flipped classroom approach and Online learning on course Nursing Research and statistics
Authors: Sakshi Chaturvedi  , Anjana Williams  , Neerja Sood  , Hemchandra Pandey
Published: November 2023

Introduction: Academicians are encouraged to work for advance mode of delivery in education under theNational Education Policy 2020. In order to provide high-quality Nursing care, evidence-based practice (EBP) is essential, and this necessitates delivering quality nursing education for research. Successful researchers are essential for fostering a nursing workforce equipped with analytical, critical thinking, and problem-solving abilities. According to National education  policy 2020. Research methods should be learned as early as possible.Method: A mixed-method research approach was applied to compare B.Sc. Nursing 3rd yearundergraduates ’knowledge, attitude, skills, and active learning using quasi-experimental design. Three modern educational styles flipped learning, online blended learning and online learning were selected to teach nursing research and statistics. Student nurses of B.Sc. Nursing 3rd year from three institutes are selected in this study using enumerative sampling technique.Result: In flipped learning the value of mean was 5.27778 with a standard deviation of 0.9478, in online blendedlearning5.055556 with a SD 1.177201 and in online learning 4.973684 with a SD 0.853826. Interest is shown by participants in the method the way research subject is taught these are the findings of the pilot study main study is in progress.Discussions: In this applied research we have found flipped learning and Online Blended Learning has great impact on knowledge and active learning enhancement as compared to Online learning of UG Nursing students Studying Nursing research course.
Inteligencia emocional en estudiantes de 1ero y 5to semestres de licenciatura en enfermería de la FET-UAT
Authors: González Salinas J. Fernanda , Fang Huerta. María de los Angeles , Garza Hernández. Rosalinda- , Meléndez Méndez. Ma. Concepción , Rivera Peréz José Guadalupe
Published: November 2023

Introducción. La inteligencia emocional [IE], se relaciona con el éxito académico y quienes la poseen tienen reacciones favorables al control de las emociones, y son conscientes de como éstas pueden afectarles (Quiliano & Quiliano, 2020). Es deseable que los estudiantes de ciencias de la salud aprendan a manejar sus emociones, por las repercusiones durante la interacción con las personas de su entorno personal y laboral (Liébana-Presa, 2017).  Objetivo general: Analizar las diferencias de las dimensiones de Inteligencia emocional, en estudiantes de 1ero y 5to semestres por cada variable sociodemográfica. Metodología: Estudio descriptivo-transversal comparativo, la muestra 175 estudiantes. Instrumento: Autopercepción de inteligencia emocional (Treit Meta-Mood Scale) de Fernández-Berrocal et al. (2004). Se utilizó Shapiro-Wilks y U de Mann-Whitney y Kruskal-Wallis, y la prueba de Ji cuadrada para determinar asociación de la IE. Resultados: Se identificaron diferencias en las dimensiones de inteligencia emocional y los datos sociodemográficos. Conclusiones: Los estudiantes de primer semestre presentan, mayor desarrollo en las dimensiones de atención, claridad y reparación emocional, comparativamente con los estudiantes de quinto semestre.
Tutorial Pembelajaran Tahapan Tehnik Passing Sepak Bola Melalui Latihan Drill Passing Pada Anak Usia 8 - 10 Tahun
Authors: Yusmawati Yusmawati , Julianti P Eva , Susilo Susilo , Hanggoro Windu
Published: November 2023

Kegiatan ini, mengenai tutorial tahapan Pembelajaran teknik Passing Sepak bola dengan kaki bagian dalam. Tujuan kegiatan, Untuk mengetahui peningkatan kualitas gerakan Passing sepak bola dengan kaki bagian dalam. Tempat pelaksanaan kegiatan di desa Bojong Koneng, Kecamatan Babakan Madang - Bogor Jawa Barat. Meyode latihan dengan menerapkan metode pengulangan (drill). Metode yang digunakan dalam kegiatan ini adalah memberikan treatmen dan melaksanakan pre-tes dan post-test setelah diberikan materi dengan tutorial passing terhadap peserta. Peserta dalam kegiatan ini berjumlah sebanyak 25 orang anak - anak usia 8 - 10 tahun.
Penerapan Aplikasi Green Economy Digital Nitipsampah dalam mengolah limbah sampah rumah tangga di Cluster Winola Kabupaten Banyuasin Sumatera Selatan
Authors: Wulandari Try , Kholik Abdul , Pratiwi Mariska Putri
Published: November 2023

The research results indicate that the implementation of the digital Green Economyapplication "Nitipsampah" has successfully increased public awareness in Cluster Winolaregarding household waste management. The use of this application has also streamlined theprocess of waste collection, sorting, and delivery to appropriate processing facilities. Thepositive impacts achievable through this application include waste reduction, resourceconservation, and an increase in the utilization of waste as a valuable resource. Therefore, thisresearch concludes that the implementation of the digital Green Economy application"Nitipsampah" has significant potential in supporting sustainable household waste management efforts in Cluster Winola and could serve as a relevant model for similar areas throughout South Sumatra. This reserach also provides and initial perspective on the role technology in supporting sustainable practices within the contex of a green economy
Understanding the Elements of Research
Authors: Alhassan Eliasu
Published: November 2023

This book advances a plan, a process, and approaches for understanding Social investigation in the human and social world, a comprehensive approach for understanding qualitative, descriptive, and triangulation as well as basic terminologies in social research. The continued usage of these approaches and the terminologies in Social Research by students and researchers necessitated the production and need for this book. The explanations of the very important approaches begin with a preliminary consideration of philosophical and theoretical understanding of the core and conceptual issues in social research. The review of literature, an assessment of the linkage between theory and conceptual framework in social research designs and proposal writings are very important in scholarly research. The book addresses a general introduction, the purpose of social research, an understanding of some key basic terms, a literature review and a theoretical framework. It also addresses proposal writing essentials in both qualitative, descriptive, and triangulation approaches to social research. At each step in the process, the reader is taken through the basic understanding of key terminologies and purposes of social research, literature review, proposal writings and understanding of approaches in social research. The book is intended to guide Social Researchers and Students, especially, postgraduate students who seek assistance in preparing a plan or proposal for a scholarly journal, thesis and dissertations. At a broader level, the book may be useful as a reference, a guidebook for graduate courses in research methods. Examples in the book are drawn from the life experiences of researchers and research tutors in the Universities. The book is not a detailed research methods text it only highlights the essential ideas, elements, and features of research methods. The coverage of research methods in social investigations is limited to the frequently used forms of research, theory and terminologies which are very useful in social research approaches. Consistent with the accepted convention of scholarly writing in research, discriminatory words are eliminated in all chapters. Readers should note that in many examples cited in the book, references are made.
GTC Follow-up Observations of Very Metal-poor Star Candidates from DESI
Authors: Allende Prieto Carlos , Aguado David S. , González Hernández Jonay I. , Rebolo Rafael , Najita Joan , Manser Christopher J. , Rockosi Constance , Slepian Zachary , Mezcua Mar , Valluri Monica , Ezzeddine Rana , Koposov Sergey E. , Cooper Andrew P. , Dey Arjun , Gänsicke Boris T. , Li Ting S. , Cunha Katia , Zou Siwei , Aguilar Jessica Nicole , Ahlen Steven , Brooks David , Claybaugh Todd , Cole Shaun , Eftekharzadeh Sarah , Fanning Kevin , Forero-Romero Jaime , Gontcho A Gontcho Satya , Honscheid Klaus , Jablonka Pascale , Kehoe Robert , Kisner Theodore , Landriau Martin , de la Macorra Axel , Meisner Aaron , Miquel Ramón , Moustakas John , Nie Jundan , Poppett Claire , Prada Francisco , Rezaie Mehdi , Rossi Graziano , Sánchez Eusebio , Schubnell Michael , Sharples Ray , Siudek Malgorzata , Smith Verne V. , Tarlé Gregory , Vincenzo Fiorenzo , Weaver Benjamin Alan , Zhou Zhimin , Zou Hu
Published: November 2023

The observations from the Dark Energy Spectroscopic Instrument (DESI) will significantly increase the numbers of known extremely metal-poor stars by a factor of ∼10, improving the sample statistics to study the early chemical evolution of the Milky Way and the nature of the first stars. In this paper we report follow-up observations with high signal-to-noise ratio of nine metal-poor stars identified during the DESI commissioning with the Optical System for Imaging and Low-Resolution Integrated Spectroscopy (OSIRIS) instrument on the 10.4 m Gran Telescopio Canarias. The analysis of the data using a well-vetted methodology confirms the quality of the DESI spectra and the performance of the pipelines developed for the data reduction and analysis of DESI data.
Hunting Gamma-Ray-emitting FR0 Radio Galaxies in Wide-field Sky Surveys
Authors: Pannikkote Meghana , Paliya Vaidehi S. , Saikia D. J.
Published: November 2023

The latest entry in the jetted active galactic nuclei (AGN) family is the Fanaroff–Riley type 0 (FR0) radio galaxies. They share several observational characteristics, e.g., nuclear emission and host galaxy morphology, with FR I sources; however, they lack extended, kiloparsec-scale radio structures, which are the defining features of canonical FR I and II sources. Here we report the identification of seven γ-ray-emitting AGN as FR0 radio sources by utilizing the high-quality observations delivered by ongoing multiwavelength wide-field sky surveys, e.g., Very Large Array Sky Survey. The broadband observational properties of these objects are found to be similar to their γ-ray undetected counterparts. In the γ-ray band, FR0 radio galaxies exhibit spectral features similar to more common FR I and II radio galaxies, indicating a common γ-ray production mechanism and the presence of misaligned jets. Although the parsec-scale radio structure of FR0s generally exhibits a wide range, with about half having emission on opposite sides of the core, the γ-ray-detected FR0s tend to have dominant cores with core-jet structures. We conclude that dedicated, high-resolution observations are needed to unravel the origin of relativistic jets in this enigmatic class of faint yet numerous population of compact radio sources.
Photoionization from the Ground and Excited Vibrational States of

H

2

+

and Its Deuterated Isotopologues
Authors: Singor Adam , Scarlett Liam H. , Zammit Mark C. , Bray Igor , Fursa Dmitry V.
Published: November 2023

Photoionization cross sections and rate coefficients have been calculated for all bound vibrational levels of the 1sσ
g state of

H

2

+

, HD+, and

D

2

+

. The Born–Oppenheimer approximation is employed in our calculation of vibrationally resolved photoionization cross sections. Vibrationally resolved and local thermal equilibrium photoionization rate coefficients are presented for photon temperatures less than 50,000 K and are found to be several orders of magnitude larger than previous results in the literature. Analytic fits for the vibrationally resolved and local thermal equilibrium photoionization rate coefficients are provided. Near-threshold oscillations in the vibrationally resolved photoionization are observed. A benchmark set of photoionization cross sections are presented. Fixed-nuclei photoionization cross sections are calculated using two-center true continuum wave functions and are verified by comparison with previous calculations and are found to be in excellent agreement in all cases. Data files for our set of benchmark cross sections, rate coefficients, and fitting parameters for

H

2

+

, HD+, and

D

2

+

are available on Zenodo under an open-source Creative Commons Attribution license at doi:10.5281/zenodo.8304061.
The Farmer: A Reproducible Profile-fitting Photometry Package for Deep Galaxy Surveys
Authors: Weaver J. R. , Zalesky L. , Kokorev V. , McPartland C. J. R. , Chartab N. , Gould K. M. L. , Shuntov M. , Davidzon I. , Faisst A. , Stickley N. , Capak P. L. , Toft S. , Masters D. , Mobasher B. , Sanders D. B. , Kauffmann O. B. , McCracken H. J. , Ilbert O. , Brammer G. , Moneti A.
Published: November 2023

While space-borne optical and near-infrared facilities have succeeded in delivering a precise and spatially resolved picture of our Universe, their small survey area is known to underrepresent the true diversity of galaxy populations. Ground-based surveys have reached comparable depths but at lower spatial resolution, resulting in source confusion that hampers accurate photometry extractions. What once was limited to the infrared regime has now begun to challenge ground-based ultradeep surveys, affecting detection and photometry alike. Failing to address these challenges will mean forfeiting a representative view into the distant Universe. We introduce The Farmer: an automated, reproducible profile-fitting photometry package that pairs a library of smooth parametric models from The Tractor with a decision tree that determines the best-fit model in concert with neighboring sources. Photometry is measured by fitting the models on other bands leaving brightness free to vary. The resulting photometric measurements are naturally total, and no aperture corrections are required. Supporting diagnostics (e.g., χ
2) enable measurement validation. As fitting models is relatively time intensive, The Farmer is built with high-performance computing routines. We benchmark The Farmer on a set of realistic COSMOS-like images and find accurate photometry, number counts, and galaxy shapes. The Farmer is already being utilized to produce catalogs for several large-area deep extragalactic surveys where it has been shown to tackle some of the most challenging optical and near-infrared data available, with the promise of extending to other ultradeep surveys expected in the near future. The Farmer is available to download from GitHub (https://github.com/astroweaver/the_farmer) and Zenodo (https://doi.org/10.5281/zenodo.8205817).
Effect of Secukinumab and Tumor Necrosis Factor Inhibitors on Humoral Response to BNT162b2 mRNA Vaccine in Patients With Spondyloarthritis Compared to Immunocompetent Controls
Authors: Eviatar Tali , Furer Victoria , Polachek Ari , Zisman Devy , Peleg Hagit , Elalouf Ofir , Levartovsky David , Kaufman Ilana , Broyde Adi , Haddad Amir , Feld Joy , Aassi Maher , Quebe-Fehling Erhard , Alarcon Ivette , Pel Sara , Paran Daphna , Elkayam Ori
Published: November 2023

Objective

To assess the humoral response to the BNT162b2 mRNA vaccine among patients with spondyloarthritis (SpA) receiving secukinumab (SEC) compared to those receiving tumor necrosis factor inhibitors (TNFi) and immunocompetent controls.

Methods

Consecutive patients with psoriatic arthritis or axial SpA receiving SEC (n = 37) or TNFi (monotherapy, n = 109; + methotrexate [MTX], n = 16), immunocompetent controls (n = 122), and patients with rheumatoid arthritis (RA) receiving TNFi therapy (controls, n = 50) were vaccinated with 2 or 3 doses of the BNT162b2 vaccine. We evaluated humoral response, adverse events, and disease activity, and monitored for breakthrough coronavirus disease 2019 (COVID-19) postvaccination.

Results

The 2-dose vaccine regimen induced a comparable seropositive response in all study groups. S1/S2 antibody titers (in binding antibody units/mL; mean [SD]) were higher in the SEC group vs the TNFi + MTX–SpA and TNFi-RA groups (192.5 [68.4] vs 104.6 [46.9],P< 0.001, and 143.1 [81.9],P= 0.004). After 6 months, 96.3%, 96.6%, and 80.9% of the SEC, immunocompetent, and TNFi monotherapy-SpA groups (P= 0.10), respectively; 66.7% of the TNFi + MTX–SpA group (P= 0.03); and 63% of the TNFi-RA group (P= 0.004) remained seropositive. S1/S2 antibody titer decline was steeper in the TNFi groups than the SEC group. After the third dose, 100% of the SpA and immunocompetent and 88.9% of the TNFi-RA (P= 0.25) groups were seropositive. Rate of breakthrough COVID-19 infection was higher in the TNFi groups than in the SEC group (36-37.5% vs 10.8%). No significant between-group differences were observed for postvaccination disease activity and adverse events.

Conclusion

SEC did not interfere with the immunogenic response to BNT162b2 vaccine in patients with SpA; however, TNFi therapy was associated with lower S1/S2-antibody titers, faster decline, and higher rate of breakthrough infections.
Perioperative immunotherapy in stage IB-III non-small cell lung cancer: a critical review of its rationale and considerations
Authors: Sim Jae Kyeom , Choi Juwhan , Lee Sung Yong
Published: November 2023

Lung cancer is a dismal disease as a leading cause of overall cancer death, but the development of immune checkpoint inhibitors (ICIs) in driver gene mutation negative metastatic non-small cell lung cancer (NSCLC) is changing the paradigm of lung cancer treatment. Recently, ICIs are expanding their treatment area to early-stage NSCLC and ICIs have also changed their treatment strategies of such patients. And it is important to appropriately select patients with resectable early-stage lung cancer through a multidisciplinary team approach and decrease the tumor relapse rate in the ICIs era. In this review article, we discuss the recently released neoadjuvant and adjuvant data of ICIs, their treatment rationale, and unmet needs in the treatment of early-stage NSCLC.
A compartmental model for the spread of Nipah virus in a periodic environment
Authors: Barua Saumen , Ibrahim Mahmoud A. , Dénes Attila
Published: November 2023

Nipah virus (NiV) is a zoonotic virus that causes outbreaks of fatal disease in humans. Fruit bat, also known as the flying fox, is the animal host reservoir for NiV. It is known to cause illness in pigs, which are considered an intermediate host. In this paper, we propose a model for NiV disease transmission taking into account all human-to-host animal transmission as well as the loss of immunity in those who have recovered. Furthermore, we take into consideration seasonal effects such as varying transmission rate from bats and birth rate of bats. We studied the existence and uniqueness of a disease-free $ \omega $-periodic solution and later deals with the basic reproduction number and stability analysis. To support the analytical results we provide numerical examples and assess the effect of parameter changes on disease dynamics, which might help to understand how to avoid a yearly periodic recurrence of the disease.
Effects and Potentials of Business Intelligence Tools on Tourism Companies in a Tourism 4.0 Environment
Authors: Amiri Mahsa , Ramos Célia M. Q.
Published: November 2023

Several technologies emerged and disrupted how they operate in the Tourism 4.0 environment surrounding tourism companies. One, the digitalization of processes has become a way to support survival, and second, data grows exponentially daily. In this environment, a business intelligence tool can help to improve decision-making while enabling managers to realize complex information quickly and make more efficient decisions. The benefits of BI adoption in businesses encourage scholars to study and research this topic. This study aims to understand the effects and potentialities of business intelligence systems conjugated with artificial intelligence for tourism companies. As the main findings, the potential of BI helps the tourism company to increase destination sustainability support and to create a shared decision-maker environment between the companies.
Sustainable and Autonomous Soil Irrigation
Authors: Santos Gonçalo , Vicente Gonçalo , Salvado Telmo , Gonçalves Celestino , Caetano Filipe , Silveira Clara
Published: November 2023

Water scarcity is probably one of the most serious problems that humanity will have to face globally. For that reason, it will certainly be urgent to try to define practices and find solutions that, in a first phase, allow to mitigate the problem, but whose ultimate objective will be to overcome the situation. This chapter presents an irrigation system set on an internet of things platform, able to act in real time according to the atmospheric conditions. Through parameterized and automated systems, it is possible to stop the irrigation. Later, using sensors, the system may or may not be activated in case the levels of soil moisture and luminosity do not respond to the parameterized needs. It is an efficient and sustainable solution that is available for all agriculture irrigation systems. To test the proposed solution, unit tests were conducted, and a group of tests with all sensors connected was also considered. This system implements an alternative method for the data flow and its monitoring, including the fact that the system is aware of the user.
Factors Affecting the Institutionalized Political Participation of Chinese Women
Authors: Jiang Xiaodi , Guo Yuanyuan , Dong Peng
Published: November 2023

This study utilizes the CGSS2021 dataset to explore institutionalized political engagement among Chinese women. Key findings include positive correlations with social circle involvement, housing area, and traditional media consumption. Interestingly, younger women are less politically engaged. Cross-tabulation reveals that daily social interactions and disagreement with prioritizing marriage over career boost institutionalized political involvement, particularly in Beijing. By contrast, women from Inner Mongolia show the least engagement. Surprisingly, frequent internet usage has limited influence on political participation, whereas traditional media use boosts it. Women in their first marriage also show higher engagement. The study offers policy recommendations to enhance Chinese women's political participation.
Automation of Explainability Auditing for Image Recognition
Authors: Don Duleep Rathgamage , Boardman Jonathan , Sayenju Sudhashree , Aygun Ramazan , Zhang Yifan , Franks Bill , Johnston Sereres , Lee George , Sullivan Dan , Modgil Girish
Published: November 2023

XAI requires artificial intelligence systems to provide explanations for their decisions and actions for review. Nevertheless, for big data systems where decisions are made frequently, it is technically impossible to have an expert monitor every decision. To solve this problem, the authors propose an explainability auditing method for image recognition whether the explanations are relevant for the decision made by a black box model, and involve an expert as needed when explanations are doubtful. The explainability auditing system classifies explanations as weak or satisfactory using a local explainability model by analyzing the image segments that impacted the decision. This version of the proposed method uses LIME to generate the local explanations as superpixels. Then a bag of image patches is extracted from the superpixels to determine their texture and evaluate the local explanations. Using a rooftop image dataset, the authors show that 95.7% of the cases to be audited can be detected by the proposed method.
Barriers to and Facilitators of Family Caregiving of Patients With COVID-19 Early in the Pandemic
Authors: Leggett Amanda N. , Robinson-Lane Sheria G. , Oxford Grace , Leonard Natalie , Carmichael Alicia G. , Baker Elaina , Paratore Janeann , Blok Amanda C. , Prescott Hallie C. , Iwashyna Theodore J. , Gonzalez Richard
Published: November 2023

Background

In 2020, many family members were thrust into the role of caregiving for a relative with COVID-19 with little preparation, training, or understanding of the disease and its symptoms.

Objectives

To explore the barriers to and facilitators of caregiving experienced by family caregivers of patients with COVID-19 who had been in intensive care in the pandemic’s earliest months.

Methods

In-depth qualitative interviews were conducted by web conference with 16 adults recovering at home after intubation for COVID-19 in an intensive care unit at a major academic medical center and their primary caregivers from March to August 2020 (N = 32). Thematic qualitative analysis was done using Watkins’ rigorous and accelerated data reduction technique with MAXQDA software.

Results

Seven themes emerged regarding factors that facilitated or posed barriers to care: other health conditions that increased complexity of care, interactions and experiences in the health care system, COVID-19’s proliferation into other areas of life, the psychological well-being of the patient-caregiver dyad, experience of support from the dyad’s network, the role of caregiving in the dyad, and contextual circumstances of the dyad. The themes often included both barriers and facilitators, depending on the experience of the dyad (eg, feeling encouraged vs fatigued by their support network).

Conclusions

Understanding how patients with COVID-19 and their caregivers experience illness management across the recovery journey can help clarify the COVID-19 care-giving process and identify intervention targets to improve overall health and well-being of the care dyad.
Cognitive Impairment, Physical Impairment, and Psychological Symptoms in Intensive Care Unit Survivors
Authors: Proffitt Tracye , Menzies Victoria , Grap Mary Jo , Orr Tamara , Thacker Leroy , Ameringer Suzanne
Published: November 2023

Background

Post–intensive care syndrome (PICS) affects 25% to 50% of adults who survive an intensive care unit (ICU) stay. Although the compounding of PICS impairments (cognitive, physical, and psychological) could intensify the syndrome, research on relationships among impairments is limited, particularly in patients with delirium.

Objectives

To examine associations among PICS impairments and examine delirium status and its relationship to PICS impairments at ICU discharge and 1 month later.

Methods

A descriptive, correlational study of adults who survived an ICU stay. Participants completed measures for depression, anxiety, posttraumatic stress, physical function, functional status, and cognition at ICU discharge and 1 month later. Relationships among PICS impairments were examined with Spearman correlations; differences in impairments by delirium status were assessed with t tests.

Results

Of 50 enrolled participants, 46 were screened for PICS impairment at ICU discharge and 35 were screened 1 month later. Cognitive impairment was the most common impairment at both time points. A positive correlation was found between cognition and functional status at ICU discharge (ρ = 0.50, P = .001) and 1 month later (ρ = 0.54, P = .001). Cognition and physical functioning were positively correlated 1 month after discharge (ρ = 0.46, P = .006). The group with delirium had significantly lower functional status scores than the group without delirium at ICU discharge (P = .04).

Conclusions

The findings suggest a moderate correlation between cognitive and physical impairments. This relationship should be explored further; ICU survivors with undiagnosed cognitive impairment may have delayed physical recovery and greater risk for injury.
Understanding and Managing Anxiety Sensitivity During Critical Illness and Long-Term Recovery
Authors: Boehm Leanne M. , Bird Claire M. , Warren Ann Marie , Danesh Valerie , Hosey Megan M. , McPeake Joanne , Potter Kelly M. , Su Han , Eaton Tammy L. , Powers Mark B.
Published: November 2023

Anxiety sensitivity is a fear of symptoms associated with anxiety (eg, rapid respiration and heart rate, perspiration), also known as “fear of fear.” This fear is a misinterpretation of nonthreatening symptoms as threatening across 3 domains: physical (“When my heart rate increases, I’m afraid I may have a heart attack”), social (“If people see me perspire, I fear they will negatively evaluate me”), and cognitive (“When I feel these symptoms, I fear it means I’m going crazy or will lose control and do something dangerous like disconnect my IV”). These thoughts stimulate the sympathetic nervous system, resulting in stronger sensations and further catastrophic misinterpretations, which may spiral into a panic attack. Strategies to address anxiety sensitivity include pharmacologic and nonpharmacologic interventions. In intensive care unit settings, anxiety sensitivity may be related to common monitoring and interventional procedures (eg, oxygen therapy, repositioning, use of urine collection systems). Anxiety sensitivity can be a barrier to weaning from mechanical ventilation when patients are uncomfortable following instructions to perform awakening or breathing trials. Fortunately, anxiety sensitivity is a malleable trait with evidence-based intervention options. However, few health care providers are aware of this psychological construct and available treatment. This article describes the nature of anxiety sensitivity, its potential impact on intensive care, how to assess and interpret scores from validated instruments such as the Anxiety Sensitivity Index, and treatment approaches across the critical care trajectory, including long-term recovery. Implications for critical care practice and future directions are also addressed.
Weight status in survivors of childhood acute lymphocytic leukemia in South Korea: a retrospective descriptive study
Authors: Kim Yeongseon , Bang Kyung-Sook
Published: November 2023

Purpose: This study investigated weight status in survivors of childhood acute lymphocytic leukemia (ALL) and identified related factors.Methods: A retrospective review of the electronic medical records of survivors of childhood ALL (n=230) was conducted. We analyzed the survivors' characteristics, including sex, age, weight status at diagnosis, central nervous system involvement, risk classification, length of treatment, radiation therapy, and hematopoietic stem cell transplantation. Analysis of variance and the chi-squared test were applied to investigate influencing factors.Results: The weight status distribution was as follows: 23 individuals (10.0%) were classified as underweight, 151 individuals (65.7%) were healthy weight, and 56 individuals (24.3%) were overweight/obese. Age at diagnosis (F=10.03, p<.001), weight status at diagnosis (x2=43.41, p<.001), and risk classification (F=10.98, p=0.027) showed significant differences among the weight status groups. Survivors who were older at diagnosis and those in the very high-risk category had a higher likelihood of experiencing underweight status during their survivorship, while survivors who were overweight/obese at diagnosis were more likely to remain overweight/obese at the time of survival.Conclusion: Considering the potential health implications related to an unhealthy weight status in survivors of ALL, it is imperative to undertake early identification and implement interventions for at-risk individuals.
Experiment and Simulation Study on Static and Dynamic Stiffness of
Automobile Seat Cushion
Authors: Chen Liangsong , Xiyuan Niu , Jun Song , Yi Qiu , Zunming Wang
Published: November 2023

The ride comfort of automobiles is greatly affected by the static and dynamic
characteristics of the seat cushion. To simulate these characteristics
accurately and further provide reference for the optimization design of seat,
the finite element models are established in this article. First, the static
stiffness tests of the seat cushion and leather cover are performed,
respectively, to expose their static characteristics. Then, the dynamic
stiffness/damping test are carried out to evaluate the dynamic characteristic of
the cushion. Third, simulation models (including static stiffness and dynamic
stiffness models) are founded and calibrated based on the above test data.
Finally, the consistency of simulation and experiment results is evaluated and
quantified by introducing goodness-of-fit. The results indicate that (1)
calibrated models built in this study can reflect the static and dynamic
characteristics of the seat cushion accurately. (2) The proposed dynamic
stiffness model can better predict the dynamic characteristic of the cushion,
which can provide guidance for improving seat comfort. (3) The model constructed
in this article can be further applied to subsequent models of seat-occupant
coupling system (SoCS), which has practical significance for predicting and
optimizing transmissibility in the future.
Identification and quantification of bioactive compounds indifferent extracts of morinda lucida benth (rubiaceae) root using GC–MS analysis
Authors: Adekunle David , Faboro Esther , Lajide Labunmi
Published: November 2023

This study aims to analyze and describe the chemical constituents of various crude extracts derived from the root of Morinda lucida Benth (Rubiaceae), an ethnomedicinal plant commonly found in Nigeria. The root of Morinda lucida was dried at room temperature and pulverized into powder. The soxhlet extraction technique was used with solvents of different polarities, namely hexane, chloroform, and methanol, to obtain three distinct extracts. Subsequently, gas chromatography-mass spectrometry analysis was carried out on the extracts. A total of 69 compounds were identified from the different extracts of M. lucida root. The hexane extract had 3 major compounds and 8 minor ones, with diethyl phthalate being the most prominent with 87.10% peak area. The chloroform extract had 24 compounds, with phthalic acid, 2-Ethylhexyl isohexyl ester being the highest with 16.61% peak area. Six of these compounds had more than 5%, while the remaining 18 ranged from 2.50% to 1.00%. The ethanol extract contained 36 compounds, with 6 compounds being greater than 5% and the remaining 30 less than 5%. The highest percentage in the ethanol extract was 2-Pyrrolidinone, 1-methyl-, at 16.05%. In terms of the biological and pharmacology benefits, these chemicals are regarded as crucial. Also, each of the three extracts has a few similarities in their physicochemical properties that can be related to the natural substances that are abundantly found in M. lucida root. The GC-MS analysis of different extracts of M. lucida revealed the presence of several bioactive compounds that have potential therapeutic properties.
PREPARATION AND EVALUATION OF ALKYD RESIN FROM Hura crepitans (SAND BOX) SEED OIL.
Authors: Omowonuola O. E. , Victor-Oji C.O. , Chukwu U. J.
Published: November 2023

Alkyd resin from seed oil extract of Hura crepitans (sand box) have been prepared and evaluated for industrial application. The oil extracted was physicochemically characterized using Association of Official Analytical Chemists (AOAC) standard methods. The analytical data obtained are as follows: Iodine Value; 170.43g I2/100g, Saponification Value; 235.15mgKOH/g, Acid Value; 3.10mgKOH/g, Free fatty acid Value; 10mg/g, Moisture Content; 0.06%, Specific Gravity; 0.92g/m, and Refractive Index; 1.47. Epoxidation of fatty acids in the seed oil extract was confirmed via Fourier Transform Infrared Spectrometry (FTIR). The alkyd resin was prepared via a one-pot process using alcoholysis-polyesterification reaction. Resin evaluation showed that: the drying time was 24 hours; it was soluble in acetone, methanol, ethanol and toluene; acid value was 6.50 after 180minutes; for chemical resistance it was observed that no effect on the prepared resin after 18hours and on immersion in 3M NaoH a total removal of the resin was observed after 24 hours. This infers that the prepared resin is a drying oil which makes it suitable for use in varnishes, paints, soap and other allied production.
Water and Electricity Consumption and Carbon Footprint of Washing Machines
Authors:   University of Kragujevac, Faculty of Engineering, Kragujevac, Serbia, NASTIĆ Filip , GORDIĆ Dušan ,   University of Kragujevac, Faculty of Engineering, Kragujevac, Serbia, KONČALOVIĆ Davor ,   University of Kragujevac, Faculty of Engineering, Kragujevac, Serbia, VUKAŠINOVIĆ Vladimir ,   University of Kragujevac, Faculty of Engineering, Kragujevac, Serbia, NIKOLIĆ Jelena ,   University of Kragujevac, Faculty of Engineering, Kragujevac, Serbia, JURIŠEVIĆ Nebojša ,   University of Kragujevac, Faculty of Engineering, Kragujevac, Serbia
Published: November 2023

Considering the relatively high share of households in global final energy and water consumption, washing machines are home appliances with a significant potential for electricity and water saving. The potential depends on the energy rating of a washing machine and the consumption habits of consumers in a household. Therefore, a survey was conducted to determine the laundry habits of domestic consumers and the characteristics of their washing machines. Considering collected information, the annual consumption of water and electrical energy and carbon footprint caused by the use of washing machines can be estimated and compared with the rest of the world. It was concluded that laundry washing causes around 10% and 4% of total water and energy consumption in the Republic of Serbia, respectively, with a carbon footprint of 423.33 ktCO2.
Analiza uticaja buke u fazi izgradnje i eksploatacije parka vetroelektrana na lokalitetu Kostolca
Authors:   Javno preduzeće „Elektroprivreda Srbije“, STANKOVIĆ Nikola
Published: November 2023

The planned project represents the construction of the Kostolac wind farm complex on the premises of external landfills and tailings in Kostolac, created as a result of mining activities. The positioning of 20 wind turbines with an individual power of 3,3 MW is planned, so that the total installed power is 66 MW. The entire investment-technical documentation was prepared, which includes an environmental impact assessment study (EIA) of the project's according to national legislative requirements, as well as an international study assessment of the impact on the environment and society (ESIA) according to the requirements of the German Development Bank. The paper provides an analysis of the impact of noise during the construction and exploitation phase of the wind farm. By applying the measures given in both national and international studies, the effects of noise will be minimized. Also, based on the modelling and analysis of the noise intensity, it was concluded that the possible impacts of noise from the wind turbine are significantly below the legally defined levels, and it is estimated that the noise intensity will be reduced to the limits provided by the legislation.
ANALISIS EFEKTIVITAS IKLAN LEMBAGA PENDIDIKAN TINGGI MELALUI MEDIA SOSIAL TIKTOK DENGAN PENDEKATAN EPIC MODEL
Authors: Martono Siswo , Budiarjo Hardman
Published: November 2023

Penelitian ini bertujuan untuk mengukur efektivitas iklan lembaga pendidikan tinggi di media sosial Tiktok. Objek penelitian adalah lembaga pendidikan tinggi yang melakukan promosi di media sosial Tiktok. Penelitian ini menggunakan pendekatan EPIC Model, variabel-variabel yang diukur adalah empathy, persuasion, impact dan communication. Variabel-variabel yang berkontribusi positif pada efektivitas iklan lembaga pendidikan tinggi di media sosial Tiktok adalah persuasion (3,87), impact (4,04) dan communication (3,65). Program studi, keunggulan lembaga pendidikan tinggi dan program studi, kompetensi lulusan menjadi stimulus untuk menentukan pilihan. Kejelasan informasi, desain konten dan slogan hal yang harus diperhatikan pada komunikasi periklanan. Variabel empathy memberikan kontribusi cukup (3,355) pada efektivitas penayangan iklan lembaga pendidikan tinggi di media sosial Tiktok. Faktor yang mendasari yaitu adanya mitos beranggapan bahwa iklan berpotensi menghabiskan kuota internet, takut tertipu dan iklan tidak sesuai dengan produk yang di iklankan. Nilai EPIC rate pada keempat dimensi adalah 3,73 yang berarti efektif. Kontribusi terbesar yang mempengaruhi efektifitas iklan lembaga pendidikan tinggi pada media sosial Tiktok adalah IMPACT. Tiktok merupakan salah satu new media yang efektif untuk mendukung keberhasilan program pemasaran.
WEB-BASED EXPERT SYSTEM FOR IDENTIFYING PESTS AND DISEASE OF OYSTER MUSHROOM
Authors: Khamidah Ida Maratul , Putra Emil Riza
Published: November 2023

Oyster Mushroom is a mushroom with a circular hood like an oyster shell. Oyster mushroom cultivators must understand the art and knowledge in the cultivation of oyster mushrooms. To care for oyster mushrooms oyster mushroom cultivators usually seek knowledge through sources such as books and articles as literacy. This is unsatisfactory because it is less efficient in diagnosing diseases or pests from oyster mushrooms. Therefore, it is necessary to have an expert system that represents expert knowledge and is able to provide diagnosis and solutions from oyster pests or fungal diseases. One of the methods in the expert system is Forward Chaining. Forward Chaining is a fact to get a conclusion from that fact. In this expert system, there are 5 pests of oyster mushrooms, including mites, caterpillars, slugs, termites, rats. Oyster fungus disease in this study also has 5 types of diseases including trichoderma spp, mucor, neurospora spp, bacteria, penicillium spp. The results showed that the accuracy of the system reached 90.1%. By implementing forward chaining in the oyster mushroom expert system, oyster mushroom cultivators, especially new cultivators, can conduct consultations for the identification of oyster fungus pests and diseases effectively and efficiently. The implementation of forward chaining in the oyster mushroom expert system begins with entering the symptoms in oyster mushrooms and then processing to find out the pests or diseases that are infected. The results of the consultation are supplemented with solutions to deal with pests or diseases present in oyster mushrooms.
KINERJA LINGKUNGAN DAN PENGUNGKAPAN LINGKUNGAN PADA PERUSAHAAN SEKTOR ENERGI DI INDONESIA
Authors: Istiningrum Andian Ari
Published: November 2023

Tujuan dari penelitian ini adalah untuk menentukan pengaruh kinerja lingkungan terhadap pengungkapan lingkungan pada perusahaan sektor energi di Indonesia. Pengukuran kinerja lingkungan berdasarkan indikator ISO 14001 dan PROPER; sedangkan pengukuran pengungkapan lingkungan berdasarkan indikator-indikator yang terdapat dalam Indonesian Environmental Reporting Index. Perusahaan sektor energi di Bursa Efek Indonesia pada tahun 2021 menjadi populasi penelitian dengan total populasi 167 perusahaan. Penentuan sampel berdasarkan pada beberapa kriteria sehingga sampel terpilih sebanyak 36 perusahaan. Data dianalisis dengan menggunakan structural equation models – partial least square dengan tambahan variabel kontrol yaitu profitabilitas, leverage, dan ukuran perusahaan. Net profit margin, return on asset, dan return on equity merupakan indikator pengukur profitabilitas, sedangkan leverage diukur dengan menggunakan indikator debt to asset ratio dan debt to equity ratio. Ukuran perusahaan ditentukan berdasarkan nilai logaritma natural total aset dan nilai logaritma natural total penjualan perusahaan. Data-data penelitian dikumpulkan melalui teknik dokumentasi pada laporan tahunan dan laporan keberlanjutan perusahaan tahun 2021. Pengolahan data dilakukan dengan menggunakan Smart PLS karena sampel penelitian hanya sedikit. Setelah dilaksanakan boostrapping pada Smart PLS, penelitian memberikan hasil bahwa kinerja lingkungan berpengaruh negatif signifikan terhadap pengungkapan lingkungan dengan nilai path coefficient, t statistic, dan p-value berturut – turut sebesar -0,374; 2,496; dan 0,013. Sedangkan, variabel kontrol yang terbukti berpengaruh signifikan terhadap pengungkapan lingkungan dalam penelitian ini hanya variabel profitabilitas.