bluuebunny/crossref_metadata_2025 huggingface dataset:
Knowledge, Attitude and Practice of Adverse Drug Reactions (ADRS) Reporting in Nursing Staffs of Tertiary Care Hospital
Authors: Shah Ram Chandra , Sinha Ragni , Mishra Chandan , Kumal Jay Prakash Prasad
Published: January 2023

Background Adverse Drug Reactions (ADRs) are adverse consequences of drug therapy and are a major cause of morbidity and mortality. Approximately 2.9-5.6% of all hospital admissions are due to ADRs and up to 35% of hospitalized patients experience ADRs during their hospital stay. Therefore, the study assesses nurses’ knowledge, attitudes and practices (KAP) for monitoring and reporting spontaneous adverse drug reactions (ADRs).
Methods In this observational study, 155 professional nurses with Proficiency Certificate Level (PCL), Bachelor Nurses and Masters working in various hospitals and academic institutes in Janakpur Municipality were selected to complete 19 pre-validated questionnaires on knowledge, attitudes and practice of ADR monitoring and reporting’ response. The data were converted by a predetermined scoring method and subjected to statistical analysis.
Results Most participants from PCL Nursing (52.25%), participants from Bachelor Nursing (35.48%) and the fewest participants from Master Nursing (12.25%) were between 26 and 35 years old. Regarding ADRs knowledge, the majority of the Master Nurses (86.18%) answered the question correctly. ADR that reported regularly, most certificate nurses disagreed (33.3%) and more certificate nurses were neutral (38.2%) and some certificate nurses were agreed (28.3%). Most master nurses (63.1%) had patients with ADRs, but bachelor nurses (52.7%) and certificate nurses (64.2%) had not experienced any patients with ADRs in the past year. Master nurses (78.9%) were aware of the response to ADRs reporting and monitoring, but most certificate nurses (83.9%) and bachelor nurses (65.5%) were unaware of the ADRs reporting and monitoring response.
Conclusion We conclude that KAP of ADRs in nurses is not sufficient especially in certificate and bachelor nurses. But master level nurses responded well. This is due to their knowledge, attitude and practices on ADRs reporting and monitoring.
Rare Case Report of Mature Mesenteric Teratoma in a 35-Year-Old Female
Authors: Shrestha Man Mohan Bir , Sharma Umesh Kumar , Thapaliya Suraj , Limbu Jayanti
Published: January 2023

Teratomas are germ cell tumors that usually occur in the gonads, and present in early age group. Mesenteric teratoma is rare. Patients with mesenteric teratoma may remain asymptomatic or may present with compressive symptoms. Teratomas contain derivatives of all three germ layers, hence may contain diverse tissues. Computed tomography (CT) scan is ideal to establish the diagnosis of mesenteric teratoma, and reveal fluid, fat, calcifications, fat-fluid level. This is a case of 35-year-old female, who presented with upper abdominal pain for 2 months. She underwent Computed Tomography (CT) scan which revealed large well circumscribed mass in left upper abdomen, containing fluid, fat, and globular calcifications. Size of the lesion was: craniocaudal dimension= 12 centimeter, transverse diameter = 10 centimeter, anteroposterior diameter = 10 centimeter. Patient was managed by complete surgical resection. Histopathological examination confirmed the diagnosis of mature teratoma of mesentery.
Estimation and Projection of the Fertility at Bagmati Province
Authors: Devkota Bijaya Mani
Published: January 2023

Information on fertility levels and patterns can assist to formulate and evaluate policies related to population change (Brass, 2015). Policy infertility can affect the population change. Fertility relies upon accepted practices and desired family size (Bongaart, 2017). Fertility provides positive contribution to population growth if it is above the replacement level. The negative contribution occurs if it is below replacement level (Pressat,1973). So, actual scenario of fertility data is essential for policy formulation. Fertility decline in Nepal has been tested and tried with different studies gives different figures like demographic health survey and national census data but varies data in provincial level. This study describes number of children ever born and number of births before 12 months who were given birth by reproductive (15-49) age group of women. The study has utilized census data from CBS that were conducted in 2001 and 2011. From census data files 1156521 and 1583063 number of reproductive age group (12.5% of the sample data) of women were identified through analysis. It was used to the Arriaga method and changing P/F ratio method in the estimation of Bagmati Province. The TFR values of Bagmati Province exact years 2016, 2021, 2026 and 2031 were obtained by linear interpolation and extrapolation by 2031, it will too low TFR replacement level.
Home Stay Tourism in Nepal
Authors: Acharya Suresh
Published: January 2023

Tourism is the world's fastest growing industry. Nepal is one of the most beautiful countries in the world with lofty snowcapped mountains and scenic, peaceful settings. It has varieties of tourism resources, places of natural beauty, historical and cultural monuments, art, architecture, and festival set which are the best attractions to the foreign visitors in Nepal. Among various tourists are attractions in Nepal. Chitlang is one of the most scenic tourist destinations in Nepal. It is a land of natural scenery, the richbio-diversity, peaceful environment, and the ethnic diversity, the rich and diverse culture which attract visitors. The general objective of the study is to explore tourism prospect of rural tourism home stay. The respondents were selected by purposive sampling method in case of home stay survey and simple random sampling procedure was used for survey of visiting tourists and households. The sample size is selected 10 home stay owners selected from 18 home stay, and 18 different types of tourists (internal and external), 12 in Local people in total sampled data was 40 total. The study is based both on secondary and primary data collection from municipality profile, reports and direct fill up the structure questionnaire. The number of foreign tourists is found very low according to the local people. Local people were found very much interested and devoted for promoting tourism in the study area but there seems lack of co-ordination among the government authorities and local promoters and also lack of fund. In conclusion it can be said that deserves potentiality of becoming one of the best rural tourism destinations of the country and home stay was very effective to promote tourism. Therefore, package programs and tourism advertisement seem necessary to develop as a rural tourist destination.
Causes and Consequences of Gender Based Violence against College Girls
Authors: Malla Raju
Published: January 2023

Gender based violence was measured based on different questions related to physical violence, emotional violence and sexual violence. The questions were asked to the Bachelor and Masters Level students. Nepal Demographic and Health Survey (NDHS) questionnaires were taken as reference for questionnaire development. This study entitled “Causes and Consequences of Gender Based Violence against College Girls” is based on the study of Bachelor and Masters Level students of Padmakanya Multiple Campus, Kathmandu. The objectives of the study was to identify the causes and consequences of gender based violence of college students. In this study cross-sectional research design was applied. The Study followed the quantitative approach. From this study it was found that about 34.3percent of the respondents were experienced violence in their life time. Out of the total case of the emotional violence, more than one fifth (24.2%) were humiliate in front of others followed by insulted or make feel bad (20.6%)and threaten to hurt or harm by someone (13.6%). Respondents who were experienced physical violence, highest percentage (10.6%) were pushed, shook and throw something on her followed by twist arm or pull hair (6.1%),slapped and punched (4.5%), and kicked, dragged and beaten (3.8%).A few of the respondents have experienced the sexual violence (12.1%). Among them, 6.1 percent of the respondents were physically force to perform any other sexual acts followed by physically forced to have sexual intercourse(4.5%) and threatened to perform sexual acts in any other way (1.5%).
सामाजिक तथा सांस्कृतिक विभेदजन्य क्रियाकलापले अछाम क्षेत्रमा पारेको प्रभाव {Social and cultural discrimination activities Impact on the Acham region}
Authors: भण्डारी Bhandari शंकर प्रसाद Shankar Prasad
Published: January 2023

Division in society is mostly caused by differences in religious belie for practice, culture, behavior, and social activities. One of the main characteristics of any community is how they are each presented differently from one another. The split might be interpreted as social prejudice. Social discrimination occurs when a person, caste, race, or ethnic group is treated unfairly. It is a notion based on social and cultural constructs. It has existed throughout civilization since ancient times and continues to do so. It is constant and evolving idea. Discriminatory practices on the basis of social and cultural background have existed in Nepal since ancient times. It still permeates society today and has an effect on Achham's social and cultural sectors as well. Social and cultural prejudices were the central issues of this study, which also examined how it affected society. This research paper is analytical and descriptive in style. The qualitative data is the foundation of this study article. Depending on the situation, both primary and secondary sources of data were utilized in this work. Field surveys and interviews provided the primary data, while literature reviews provided the secondary data.
The Clash of the Images - Why the Manifest Image and the Scientific Image Are Incompatible
Authors: Mulamustafić Adem
Published: January 2023

In everyday life, we take there to be ordinary objects such as persons, tables, and stones bearing certain properties such as color and shape and standing in various causal relationships to each other. Basic convictions such as these form our everyday picture of the world: the manifest image.
The scientific image, on the other hand, is a system of beliefs that is only based on scientific results. It contains many beliefs that are not contained in the manifest image. At first glance, this may not seem to be a problem. But Mulamustafić shows convincingly that this is a mistake: The world as it is in itself cannot be both the way the manifest image depicts it and the way the scientific image describes it to be.
Tools for economic regulation of agricultural development at the present stage
Authors:   Federal Scientific Center for Agrarian Economics and Social Development of Rural Territories – VNIIESH, Moscow, Russia, Maslova Vlada V. , Savkina Galina M. ,   Federal Scientific Center for Agrarian Economics and Social Development of Rural Territories – VNIIESH, Moscow, Russia, Avdeev Mikhail V. ,   Federal Scientific Center for Agrarian Economics and Social Development of Rural Territories – VNIIESH, Moscow, Russia
Published: January 2023

The article is devoted to the analysis of certain basic instruments of economic regulation of the development of agriculture at the present stage – pricing policy, lending, insurance. The authors emphasize that prices and price relations in the agro-food market do not fully ensure the balanced functioning of agricultural producers. Despite a slight slowdown in the pace of price growth in the agro-industrial complex observed in the period from January to August 2022, a more systematic approach to stabilizing the price situation is required. Additional measures are needed to ensure the profitability of producers, the balance of supply and demand. In terms of improving the lending system, it is necessary both to increase the volume of concessional lending and increase the volume of its state support, and to restructure the structure of lending and investments with priority investments in promising areas. In addition to supporting large businesses, backbone enterprises need institutions and mechanisms for lending to small businesses. The volume of the agricultural insurance market remains narrow, the coefficients of compensation for damage are at a suboptimal level, the funds of state subsidies are used inefficiently. It seems advisable to create a state insurance company that will provide insurance to agricultural producers with state support, and to amend legislation to improve insurance techniques.
SPIN-SELECTIVE INTERACTION OF TRIPLET-EXCITED MOLECULES ON THE SURFACE OF A FERROMAGNETIC NANOPARTICLE
Authors:   Orenburg State University, Center for Laser and Information Biophysics, Orenburg, Russia, Kucherenko M.G.
Published: January 2023

Influence of a magnetic field generated by a ferromagnetic nanoparticle on the annihilation of triplet-excited organic molecules or triplet excitons in a near-surface particle layer is studied. A detailed mathematical model is presented that accounts for electron excitation diffusive mobility and geometry of the system. The kinetic operator is given in the complete 9x9 basis of triplet- triplet pair spin states. Time dependencies of the singlet spin state population of the triplet-triplet pair and the dependence of the triplet-triplet annihilation magnetic response profile (magnetic reaction effect) from the magnetic field induction are obtained. It is found that the influence of a magnetic field gradient on the reaction yield dominates over the other known mechanisms of spin-dynamics in triplet- triplet pairs.
THE EFFECT OF TOPOLOGICAL DEFECT ON THE MASS SPECTRA OF HEAVY AND HEAVY-LIGHT QUARKONIA
Authors:   Department of Physics, National Open University of Nigeria, Jabi, Abuja, Nigeria, Inyang E.P.
Published: January 2023

In this present study, the effect of Topological Defect on the mass spectra of heavy and heavy-light mesons such as charmonium, bottomonium, and charm-strange ,bottom-charm respectively are studied with the Hulthen plus Yukawa potential. The Schrödinger equation is solved analytically using the Nikiforov-Uvarov method. The approximate solutions of the energy spectrum and un-normalized wave function were obtained. We applied the present results to predict the mass spectra of heavy and heavy-light mesons in the presence and absence of a topological defect for different quantum states. We noticed that when the topological defect increases the mass spectra are shifted and move closer to the experimental data. However, when compared to the work of other researchers, the results established an improvement.
Bem-estar durante o transporte de equinos para competição
Authors: Melo Ubiratan , Assis Daniel Barbosa , Sousa Renato Fernandes de , Ferreira Cintia , Souza Magna Pereira da Silva de , Costa Mariana Henrique da Silveira , Baracho Mariana Tainar de Andrade Rodrigues , Brito Filho Emilson Lima de , Silva Leanderson Paiva da , Medeiros Paulo Roberto
Published: January 2023

Equine athletes are in constant displacement for competitions in distant places or not. Transport is a potential stressor for horses. Repetitive exposure, or an exaggerated and prolonged reaction to stressful situations is associated with the onset of several diseases. Thus, it is essential to use strategies that can reduce the potential stressor effect of transport in horses. This article aims to demonstrate the evolution in the understanding of equine welfare and apply them to the transport of athlete horses, discussing the various ways to minimize the stressors during transport. The stress caused by transport, including loading, vehicle movement, in addition to the distance of the journey, can cause a series of conditions that characterize the transport syndrome, resulting in possible cases of colic syndrome, diarrhea, pleuropneumonia, in addition to laminitis. Knowledge of physiology, ambience, sanity and of the stressors that act in the transport of horses can help the owner and/or driver in the adequacy of the correct handling, guaranteeing improvement of the BEA and reduction of economic losses during transport.
The Impact of Toxoplasma Gondii Infection on the Vitamin D3 Levels among Women in Childbearing Age, Treatment and Effect on Fetal Brain Development
Authors: Khan Sikandar Ali , Rehman Erum , Khattak Muhammad Bilal , Subhan Zakia , Khan Sara Yar , Marwat Zahid Irfan
Published: January 2023

Pregnant women are at increased risk for contracting toxoplasmosis, a parasitic infection. During pregnancy, the fetal developing brain is especially vulnerable to the stress of an infection, which could result in miscarriage or other complications. The study's goal is to examine how Toxoplasma gondii (T. gondii) infection affects maternal viremia and the mental development of their kids.: In all, about 446 working-age women were asked about their preferences for prenatal care, reproductive care, and urgent care. Beckman is the provider of a 25(OH) VD Access Kit, which may be purchased by customers. To confirm the presence of T. gondii antibodies, blood samples were analysed for levels of 25(OH)D (D3) and ELISA kits were used that were designed specifically for use with humans. They administered a variety of drugs to him and monitored his condition very carefully while doing so. SPSS was used in order to do the analysis of the study's data.: Among the 117 people tested, 31 had IgM antibodies, 49 had IgG antibodies, and 13 had both. Abortion-related proteins were detected in the sera of 65.4% of women who had only one abortion. Most people (98%) were found to have adequate VD (25(OH)D>50 nmol/L) at the time of delivery, with the mean (IQR) 25(OH)D level being 102.1 nmol/L (34-218 nmol/L). It was concluded that Healthy people who are not pregnant generally recover from toxoplasmosis without therapy. Combinations of medications including pyrimethamine, sulfadiazine, and folinic acid may help pregnant women, neonates, and infants feel better, despite the parasite perhaps remaining latent inside tissue cells following therapy. Parasitic illnesses and parasite infections have received little attention in vivo and in vitro studies.
Effectiveness of Tirofiban in Patients Undergoing Percutaneous Coronary Intervention for ST-Segment Elevation Myocardial Infarction: A Meta-Analysis of Randomized Clinical Trials
Authors: Rahman Zia ur , Khan Irfan Ali , Amin Qazi Najeeb Ullah , Ullah Kashif , Ullah Farman , Ullah Sami
Published: January 2023

Whether or whether or not tirofiban is beneficial within side the quick time period for sufferers with STEMI who go through PCI is debatable. A meta-analysis validated the short-term efficacy and safety of tirofiban in patients with ST-phase elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI). Comparing STEMI patients undergoing PCI with and without tirofiban. We found all relevant randomised controlled trials by searching scientific databases and websites. This fixed-results model computed RR and 95% CI. 10 RCTs included 5008 people. After 30 days, death from any cause (RR 0.79, CI 0.55-1.12, P=0.18), major bleeding (1.37, 0.93-2.03, P=0.11), or transfusion (1.23, 0.94-1.61, P=0.13) were no longer impacted. Minor bleeding (1.29, 1.02-1.63, P=0.04), thrombocytopenia (2.04, 1.40-2.97, P=0.0002), and 6-month all-purpose mortality (0.57, 0.36-0.90, P=0.02) showed statistically significant differences. Repeat revascularization (0.58, 0.43-0.78, P=0.0004) and myocardial infarction (0.55, 0.33-0.92, P=0.02) also differed. Mild bleeding and thrombocytopenia are more common with tirofiban, although reinfarction, revascularization, and death after 6 months are decreased.
Surveillance imaging and early surgical intervention for improved CNS tumor outcomes in children with Li-Fraumeni syndrome: Children's National Hospital experience and literature review
Authors: Patel Nirali , Felton Kathleen , Bhattacharya Surajit , Almira-Suarez Maria Isabel , Eze Augustine , Turner Joyce , Keating Robert , Oluigbo Chima , Schore Reuven J. , Kilburn Lindsay , Packer Roger J. , Myseros John S. , Bornhorst Miriam
Published: January 2023

OBJECTIVE

Li-Fraumeni syndrome (LFS) is a cancer predisposition syndrome caused by germline mutations in the TP53 gene. CNS tumors are the fourth most common tumor type in LFS, and recent screening guidelines demonstrate that early tumor detection is associated with improved long-term survival. However, there is a paucity of data regarding surgical intervention when lesions are identified in asymptomatic patients on surveillance imaging. The authors investigated this through their cohort and literature review.

METHODS

The cohort consisted of children seen in the Pediatric Cancer Genetics Program at Children’s National Hospital between August 2012 and August 2021. The authors also include a PubMed (MEDLINE) literature search of articles from 2006 to 2021 related to surveillance and CNS tumors in patients with LFS. Studies in which CNS tumors were not identified or detailed patient information was not provided were excluded. Patients from the selected articles and the authors’ cohort were added for further analysis.

RESULTS

Between August 2012 and August 2021, 10 children with LFS and CNS tumors were assessed at Children’s National Hospital: 4 who were known carriers of the TP53 mutation had CNS lesions found on surveillance imaging, whereas 6 presented with symptomatic CNS lesions and were either known or subsequently found to have germline TP53 mutations. The literature search identified 148 articles, 7 of which were included in this review. Patients from the literature and the present cohort were added for a total of 56 CNS lesions. A majority of the low-grade CNS lesions (22/24, 92%) were found on surveillance protocols in asymptomatic patients, whereas the majority of the high-grade lesions (22/26, 85%) presented in symptomatic patients who were not undergoing routine surveillance or as the initial diagnosis of LFS. The authors noted a significant survival advantage in pediatric patients with low-grade lesions, with an overall survival of 100% at 30 months. Minor limitations of the study include patient sample size and limitations in the patient cohort due to this being a retrospective rather than a prospective study.

CONCLUSIONS

Data presented in this study support surveillance protocols in LFS and demonstrate the importance of dedicated CNS imaging and early surgical intervention when lesions are identified.

Systematic review registration no.: CRD42022372610 (www.crd.york.ac.uk/prospero)
ГЕНДЕРНІ АСПЕКТИ МОТИВУВАННЯ НАСЕЛЕННЯ ДО ВОЛОНТЕРСЬКОЇ ДІЯЛЬНОСТІ ЯК ФОРМИ НЕОПЛАЧУВАНОЇ ПРАЦІ
Authors: Mazur N. O. , Tseliukh Ya. O.
Published: January 2023

Статтю присвячено дослідженню тенденцій та виявленню можливостей  залучення населення до волонтерства в Україні у контексті гендерних ролей і стереотипів. Запропоновано ввести в науковий обіг поняття «мотивування волонтерства» і трактувати дану категорію як процес спонукання фізичних та юридичних осіб до надання добровільної, безкорисливої, соціально спрямованої, організаційної та іншої допомоги особам, які її потребують. На основі проведеного авторами соціологічного опитування ідентифіковано основні гендерні стереотипи населення щодо реалізації такої форми неоплачуваної праці як волонтерська діяльність. Запропоновано практичні рекомендації щодо мотивування залучення населення до волонтерства з урахуванням статевих відмінностей у сприйнятті даного виду соціальної активності.
ОСОБЛИВОСТІ ФУНКЦІОНУВАННЯ УКРАЇНСЬКИХ ФЕРМЕРСЬКИХ ГОСПОДАРСТВ У ВОЄННИЙ ЧАС
Authors: Suduk O. Y.
Published: January 2023

У статті розглянуто основні аспекти впливу російської агресії на ефективність ведення аграрного природокористування. Визначено проблеми, з якими зіштовхнулися сільськогосподарські підприємства та фермери внаслідок воєнних дій в Україні. Проаналізовано експортний потенціал України у довоєнний та воєнний періоди. Визначено особливості формування інвестиційного потенціалу країни у воєнний час. Розглянуто ключові елементи нової спільної аграрної політики, що діятиме у період 2023–2027 рр. Обґрунтовано основні напрямки розвитку фермерства та аграрного природокористування у післявоєнний час.
СУМІСНЕ УПРАВЛІННЯ ВОДНИМИ ТА ЗЕМЕЛЬНИМИ РЕСУРСАМИ ЯК ШЛЯХ ЗАБЕЗПЕЧЕННЯ ЕКОЛОГО-ЕКОНОМІЧНОЇ БЕЗПЕКИ АГРАРНОГО ПРИРОДОКОРИСТУВАННЯ
Authors: Shcherbakova A. S.
Published: January 2023

В статті доведено, що водні та земельні ресурси використовуються неефективно, що призводить до порушення екологічної  стійкості природних систем та економічної ефективності агроландшафтів. Обґрунтовано, що підвищення еколого-економічної безпеки  у використанні земельних та водних ресурсів призведе до  системних та синергетичних ефектів виваженого функціонування галузей за стратегічними державними й регіональними інтересами. В статті підкреслено, що інституції, які займаються питаннями земельних та водних ресурсів, не встигають реагувати на зростаючу інтенсивність господарського використання річкових басейнів, зростаючий взаємозв'язок між земельними та водними ресурсами, а також на зростання конкуренції за їх використання. Саме тому необхідні більш адаптивні та гнучкі механізми, які дозволять ефективно вирішувати проблеми нестачі природних ресурсів та збереження ринкового потенціалу. Автором запропоновано авторський підхід до  сумісного управління водними та земельними ресурсами, що включає систематичну оцінку потенціалу земельних та водних ресурсів, а  також аналіз альтернатив для їх оптимального використання та покращенняекономічних та соціальних умов на основі процесу співучасті всіх зацікавлених сторін.
Social Values in Economic Environmental Valuation: A Conceptual Framework
Authors: Massenberg Julian R. , Hansjürgens Bernd , Lienhoop Nele
Published: January 2023

Economic environmental valuation remains a much debated and contested issue. Concerns have been voiced that it is unable to capture the manifold immaterial values of ecosystems due to conceptual and methodological issues. Thus, additional value categories (social values) as well as novel valuation approaches like deliberative (monetary) valuation are areas of growing interest, yet the theoretical foundations are rather weak. Against this background, this article aims to develop a consistent conceptual framework for making sense of social values in economic environmental valuation. Based on a holistic view of society and individuals, the role of institutions, the social environment, culture and transcendental values is emphasised. To synthesise diverging concepts of value into an economic concept and to account for the multidimensionality of social values, the framework consists of three spheres: social, natural and contextual. The novel framework demonstrates that social values may be integrated into a preference-based utility framework when denoting a holistic understanding of social preferences and human embeddedness in nature and society.
Correlation between the expression of Ki67 and histopathological grade, tumor size, disease-free survival, and overall survival among breast cancer patients
Authors: Leksono Radityo Budi , Thabry Rudy , Prihantono Prihantono , Nahusuly Fritz , Kasim Firdaus , Hamdani William , Pieter John , Indra Indra , Syamsu Salman Ardi , Faruk Muhammad
Published: January 2023

INTRODUCTION: Identifying Ki67, a monoclonal antibody that recognizes proliferating cells, is important for defining the level of proliferative activity among patients with breast cancer. The purpose of our study was to evaluate the correlation between Ki67’s expression and histopathological grade, tumor size, disease-free survival (DFS), and overall survival (OS) among breast cancer patients. METHODS: Our retrospective cohort study involved examining 114 patients with breast cancer at our institution from January 2018 to December 2019. Participants were retrospectively followed to determine the progression of their disease, and their 2-year progress was examined with survival analysis, especially regarding whether they had postoperative relapse (i.e., DFS) or had died since being diagnosed (i.e., OS). The data were processed with a chi-square test and Kaplan–Meier test, with significance set at p < 0.05. RESULT: The overexpression of Ki67 correlated significantly with histopathological grade (p = 0.001), tumor size (p = 0.001), DFS (p = 0.001), and OS (p = 0.003). CONCLUSION: Ki67’s overexpression is significantly correlated with the tumor size, DFS, and OS of patients with breast cancer.
Investigating factors that reduce burnout among newly licensed registered nurses
Authors: Johnson Teray , Shamroukh Sameh , Newman Mark
Published: January 2023

BACKGROUND: Burnout among newly licensed registered nurses is a prevalent healthcare issue. OBJECTIVE: To investigate the factors that reduce nurse burnout: workload, job interference with home life, having friendly co-workers, and inspirational motivation. METHODS: Secondary data from Kovner et al.’s 2006–2015 longitudinal survey was used to conduct a factor analysis. Kovner et al. surveyed 1,706 newly licensed nurses who received their nursing licenses in 2002 in the United States. The factor analysis identified the relationships between several questions about burnout symptoms and organizational factors. RESULTS: Supervisors inspiring the best in their employees, job satisfaction, and nurses’ job expectations matching their actual job duties were found to be related. Heavy workloads, nervousness, mood swings, irritability, and feeling on edge were also related. Additionally, job’s interference with home life and friendly co-workers were unrelated. CONCLUSIONS: Burnout can be mitigated by lessening workloads, supporting nurses, and ensuring nurses’ job expectations are met. Further research is needed to explain why some factors, such as having friendly co-workers, did not appear to influence burnout symptoms.
Metabolomic Analysis of Plasma in Huntington’s Disease Transgenic Sheep (Ovis aries) Reveals Progressive Circadian Rhythm Dysregulation
Authors: Spick Matt , Hancox Thomas P.M. , Chowdhury Namrata R. , Middleton Benita , Skene Debra J. , Morton A. Jennifer
Published: January 2023

Background: Metabolic abnormalities have long been predicted in Huntington’s disease (HD) but remain poorly characterized. Chronobiological dysregulation has been described in HD and may include abnormalities in circadian-driven metabolism. Objective: Here we investigated metabolite profiles in the transgenic sheep model of HD (OVT73) at presymptomatic ages. Our goal was to understand changes to the metabolome as well as potential metabolite rhythm changes associated with HD. Methods: We used targeted liquid chromatography mass spectrometry (LC-MS) metabolomics to analyze metabolites in plasma samples taken from female HD transgenic and normal (control) sheep aged 5 and 7 years. Samples were taken hourly across a 27-h period. The resulting dataset was investigated by machine learning and chronobiological analysis. Results: The metabolic profiles of HD and control sheep were separable by machine learning at both ages. We found both absolute and rhythmic differences in metabolites in HD compared to control sheep at 5 years of age. An increase in both the number of disturbed metabolites and the magnitude of change of acrophase (the time at which the rhythms peak) was seen in samples from 7-year-old HD compared to control sheep. There were striking similarities between the dysregulated metabolites identified in HD sheep and human patients (notably of phosphatidylcholines, amino acids, urea, and threonine). Conclusion: This work provides the first integrated analysis of changes in metabolism and circadian rhythmicity of metabolites in a large animal model of presymptomatic HD.
Model for evaluating the airline business operations capability based on 2TLPF-TOPSIS method and entropy weight
Authors: Zhang Yangjingyu , Cai Qiang , Wei Guiwu , Chen Xudong
Published: January 2023

Based on the traditional TOPSIS method and 2-tuple linguistic Pythagorean fuzzy numbers (2TLPFNs), this paper builds a novel 2TLPF-TOPSIS method that combines cumulative prospect theory (CPT) to cope with the multiple attribute group decision-making (MAGDM). This new method takes into account the decision-makers’ mind and the uncertainty of decision-making, and is more in line with the real decision-making environment. First, this paper briefly reviews some necessary theories related to PFS, as well as the calculation rules and comparison methods of 2TLPFNs. Then, since there is often subjective randomness when determining the weight, the entropy method is utilized to objectively determine the weight. After that, give the specific calculation steps of the new method. In order to show the effectiveness of the new method, apply it into a specific numerical example about evaluating airline business operations capability, and compare it with the other four different methods. The ranking results depict that the new method designed is effective and reasonable, and has good application value of MAGDM problems.
Design of an efficient decision support system using evolutionary deep forward network model
Authors: Karthikeyan G. , Komarasamy G. , Daniel Madan Raja S.
Published: January 2023

With the vast advancements in the medical domain, earlier prediction of disease plays a substantial role in enhancing healthcare quality and making better decisions during tough times. This research concentrates on modelling and automated disease prediction model to offer an earlier prediction model for heart disease and the risk factors. This work considers a standard UCI machine learning-based benchmark dataset for model validation and extracts the risk factors related to the disease. The outliers and imbalanced datasets are pre-processed using data normalization to enhance the classification performance. Here, feature selection is performed using non-linear Particle Swarm Optimization (NL - PSO). Finally, classification is done with the Improved Deep Evolutionary model with Feed Forward Neural Networks (IDEBDFN). The algorithm’s learning nature is used to evaluate the nature of the hidden layers to produce the optimal results. The outcomes demonstrate that the anticipated model provides superior prediction accuracy. The simulation is carried out in a MATLAB environment, and metrics like accuracy, F-measure, precision, recall, and so on are evaluated. The accuracy (without features) of the evolutionary model in the UCI ML dataset is 97.65%, accuracy (with features) is 98.56%, specificity is 95%, specificity is 2% higher than both the datasets, F1-score is 40%, execution time (min) is 0.04 min, and the AUROC is 96.85% which is substantially higher than other datasets. The proposed model works efficiently compared to various prevailing standards and individual approaches.
Randic and reciprocal randic spectral radii and energies of some graph operations
Authors: Bilal Ahmad , Munir Muhammad Mobeen
Published: January 2023

The largest absolute eigenvalue of a matrix A associated to the graph G is called the A-Spectral Radius of the graph G, and A-energy of the graph G is defined as the absolute sum of all its eigenvalues. In the present article, we compute Randic energies, Reciprocal Randic energies, Randic spectral radii and Reciprocal Randic radii of s-shadow and s-splitting graph of G. We actually relate these energies and Spectral Radii of new graphs with the energies and Spectral Radii of original graphs.
Application of DeepForest-CQP multi-factor model in quantitative stock selection
Authors: Tang Chen , Yu Qiancheng , Li Xiaoning , Lu Zekun , Yang Yufan
Published: January 2023

The stock market is a chaotic system, and stock forecasting has been the research focus. This paper proposes a multi-factor model based on DeepForest-CQP to make it more applicable to the stock domain. A t-test is used for selecting factors, and orthogonalization and heteroskedasticity tests are performed for the combined factors, which are particularly important in stock forecasting. DeepForest-CQP was combined with the multi-factor model to construct a stock selection model that can achieve higher returns. The obtained multi-factor quantitative stock selection model is used to study stock selection strategies, and simulated trading is used to evaluate the multi-factor model and stock selection strategies and compare them with various machine learning multi-factor models. The experimental results show that the DeepForest-CQP-based multi-factor stock selection model achieves significant performance advantages in all backtesting metrics.
Incentive mechanism-based interval-valued q-rung orthopair fuzzy dynamic comprehensive evaluation method for measuring regional green development level
Authors: Zhang Xiaolu , Wan Jun , Luo Ji
Published: January 2023

Interval-valued q-rung orthopair fuzzy number (IVq-ROFN) is a popular tool for modeling complex uncertain information and has gained successful applications in the field of comprehensive evaluation. However, most of the existing studies are based on the absolute values of evaluation data but fail to take incentive effects into account. Reasonable and appropriate incentive can guide the evaluated objects to better achieve the decision goals. Therefore, this study develops an incentive mechanism-based interval-valued q-rung orthopair fuzzy dynamic comprehensive evaluation method. Firstly, new interval-valued q-rung orthopair fuzzy measures including deviation measure and correlation coefficient are proposed for managing IVq-ROFNs data. To overcome the limitations of the existing aggregating operators that are not suitable for scenarios with need of many times of data aggregation, we introduce two new interval-valued q-rung orthopair fuzzy aggregating operators. Furthermore, a new interval-valued orthopair fuzzy CRITIC method is developed to objectively determine the importance of the evaluated criteria. More importantly, the horizontal incentive effects within a single period and the vertical incentive effects during multiple periods under IVq-ROFNs environments are proposed to reward (or punish) the evaluated objects in the evaluation process. The evaluated results are determined based on the full compensatory model and the multiplicative form model. The main advantage of the developed method is that the expectations of decision-makers and the dynamic characteristics during multiple periods are taken fully into account, which can make the evaluation results more reasonable and reliable. Finally, this developed comprehensive evaluation method is applied to evaluate the green development level of Jiangxi province within eleven cities from 2016 to 2020. We observe that the cities x2, x3, x4, x5, x7, x8 are rewarded within positive incentive values and the cities x1, x6, x9, x10, x11 are punished within negative incentive values. Especially, the positive incentive value for the city x3 is the biggest and the negative incentive value for the city x9 is the biggest. The best city in term of GDL is x3. The evaluated results with consideration of incentive effects are in line with the expectation of the decision-maker.
MAGDM approach using the hyperbolic sine similarity measure of confidence neutrosophic number credibility sets in a fuzzy credibility multi-valued circumstance
Authors: Zhang Sumin , Ye Jun
Published: January 2023

Group decision-making is that individuals collectively make a choice from a set of alternatives. Then, in complex decision-making problems, the decision-making process is no longer subject to a single individual, but group decision-making. Hence, the decision reliability and credibility of the collective evaluation information become more critical. However, current decision-making methods lack the confidence level and credibility measure of group evaluation information. To ensure the confidence level and credibility measure of small-scale group decision-making problems, the aim of this paper is to propose a Multi-Attribute Group Decision-Making (MAGDM) approach using a hyperbolic sine similarity measure between Confidence Neutrosophic Number Credibility Sets (CNNCSs) in the circumstance of Fuzzy Credibility Multi-Valued Sets (FCMVSs). To achieve this aim, this paper contains the following works. First, we present FCMVS to represent the mixed information of fuzzy sequences and credibility degree sequences with different and/or identical fuzzy values. Second, according to the normal distribution and confidence level of fuzzy values and credibility degrees in FCMVS, FCMVS is transformed into CNNCS to avoid the operational issue between different fuzzy sequence lengths in FCMVSs and to ensure the confidence neutrosophic numbers/confidence intervals of fuzzy values and credibility degrees. Third, a hyperbolic sine similarity measure of CNNCSs is established in the circumstance of FCMVSs. Fourth, a MAGDM approach is developed based on the weighted hyperbolic sine similarity measure in the circumstance of FCMVSs. Fifth, the proposed MAGDM approach is applied to an actual example of the equipment supplier choice problem to illustrate the efficiency and rationality of the proposed MAGDM approach in a FCMVS circumstance. In general, this study reveals new contributions in the representation, transformation method, and similarity measure of small-scale group assessment information, as well as the proposed MAGDM method subject to the normal distribution and confidence levels in small-scale MAGDM scenarios.
A novel emotion recognition method based on 1D-DenseNet
Authors: Wu Qiyue , Yuan Yinlong , Cheng Yun , Ye Tangdi
Published: January 2023

Emotion recognition based on EEG (electroencephalogram) is one of the keys to improve communication between doctors and patients, which has attracted much more attention in recent years. While the traditional algorithms are generally based on using the original EEG sequence signal as input, they neglect the bad influence of noise that is difficult to remove and the great importance of shallow features for the recognition process. As a result, there is a difficulty in recognizing and analyzing emotions, as well as a stability error in traditional algorithms. To solve this problem, in this paper, a new method of EEG emotion recognition based on 1D-DenseNet is proposed. Firstly, we extract the band energy and sample entropy of EEG signal to form a 1D vector instead of the original sequence signal to reduce noise interference. Secondly, we construct a 1D-Densenet model, which takes the above-mentioned 1D vector as the input, and then connects the shallow manual features of the input layer and the output of each convolution layer as the input of the next convolution layer. This model increases the influence proportion of shallow features and has good performance. To verify the effectiveness of this method, the MAHNOB-HCI and DEAP datasets are used for analysis and the average accuracy of emotion recognition reaches 90.02% and 93.51% respectively. To compare with the current research results, the new method proposed in this paper has better classification effect. Simple preprocessing and high recognition accuracy make it easy to be applied to real medical research.
Uncertainty measure for Z-soft covering based rough graphs with application
Authors: Pavithra S. , Manimaran A.
Published: January 2023

Soft graphs are an interesting way to represent specific information. In this paper, a new form of graphs called Z-soft covering based rough graphs using soft adhesion is defined. Some important properties are explored for the newly constructed graphs. The aim of this study is to investigate the uncertainty in Z-soft covering based rough graphs. Uncertainty measures such as information entropy, rough entropy and granularity measures related to Z-soft covering-based rough graphs are discussed. In addition, we develop a novel Multiple Attribute Group Decision-Making (MAGDM) model using Z-soft covering based rough graphs in medical diagnosis to identify the patients at high risk of chronic kidney disease using the collected data from the UCI Machine Learning Repository.
In-beam superfluid-helium ultracold neutron source for the ESS
Authors: Zimmer Oliver , Bigault Thierry , Degenkolb Skyler , Herb Christoph , Neulinger Thomas , Rizzi Nicola , Santoro Valentina , Takibayev Alan , Wagner Richard , Zanini Luca
Published: January 2023

This paper discusses design principles and possible performances of an “in-beam” ultracold neutron (UCN) source for the European Spallation Source (ESS). The key components of the proposed neutron delivery system are nested-mirror optics (NMO), which image the bright neutron emission surface of the large liquid-deuterium moderator, studied within the HighNESS project, onto a remotely located superfluid-helium converter. Bandpass supermirrors, with optional polarization capability, enable the selective transport of those neutrons that are most effective for UCN production, exploiting the single-phonon conversion process that is possible for neutrons having wavelengths within a narrow range centered on 8.9 A ˚. NMO are capable of extracting and refocusing neutrons with small transport losses under the large solid angle available at the ESS Large Beam Port (LBP), allowing the converter to be placed far away from the high-radiation area in the ESS shielding bunker, where the source stays accessible for trouble-shooting while facilitating a low-background environment for nearby UCN experiments. Various configurations of the beam and converter are possible, including a large-volume converter – with or without a magnetic reflector – for a large total UCN production rate, or a beam focused onto a small converter for highest possible UCN density. The source performances estimated by first simulations of a baseline version presented in this paper, including a saturated UCN density on the order of 10 5 cm − 3 , motivate further study and the development of NMO beyond the first prototypes that have been recently investigated experimentally.
Multi-site, multi-country randomized clinical trial of an acute traumatic brain injury caregiver transition assistance program in Latin America
Authors: Perrin Paul B. , Rodriguez-Agudelo Yaneth , Plaza Silvia Leonor Olivera , Quijano-Martinez Maria Cristina , Trujillo Michael A. , Smith Erin R. , Cariello Annahir N. , Arango-Lasprilla Juan Carlos
Published: January 2023

BACKGROUND: Individuals with traumatic brain injury (TBI) in Latin America experience high levels of disability and extremely poor functional outcomes, and their informal caregivers play a key role in their rehabilitation and care. OBJECTIVE: To improve TBI rehabilitation through stronger informal caregiving, this study developed and evaluated an evidence-based and culturally appropriate Transition Assistance Program (TAP) for informal caregivers of individuals with TBI in Latin America, specifically targeting the time period before and after the transition from hospital to home. METHODS: A sample of 89 people with a new TBI and their primary informal caregiver (n = 178) was recruited from two hospitals in Mexico City, Mexico, and in Cali, Colombia. Caregivers were randomly assigned to either the TAP group or to a control group receiving the standard care provided by the hospital. Caregivers completed measures of depression and burden, and individuals with TBI completed measures of depression and self-perceived burden on caregivers before hospital discharge and at 2- and 4-month follow ups. RESULTS: Caregivers in the TAP group reported significantly lower burden than those in the control group and marginally lower depression. Individuals with TBI whose caregivers had been in the TAP group reported significantly lower depression than those whose caregivers had been in the control group, and a non-significant but lower self-perceived burden on their caregivers. CONCLUSION: The results suggest that the TAP has strong potential to benefit both TBI caregivers and individuals with TBI during the transition from acute TBI hospitalization to home in Latin America, generally showing small-or medium-sized effects on key outcomes.