bluuebunny/crossref_metadata_2025 huggingface dataset:
Kadın Hastalıkları ve Doğum Kliniklerinde Çalışan Ebe ve Hemşirelerin Araştırma Sonuçlarını Kullanma Engelleri ve Kolaylaştırıcıları
Authors: ÇERÇER Zehra , AYDINGÜLÜ Nursevim , NAZİK Evşen , ARSLAN Sevban
Published: October 2023

Amaç: Çalışma, kadın hastalıkları ve doğum kliniklerinde çalışan ebe ve hemşirelerin araştırma sonuçlarını kullanma engellerini kolaylaştırıcılarını belirlemek amacıyla yapılmıştır.

Yöntem: Tanımlayıcı ve kesitsel tipte olan çalışma, Türkiye’nin güneyindeki bir eğitim araştırma hastanesinin kadın hastalıkları-doğum klinikleri ve polikliniklerinde görev yapan 85 ebe ve hemşire ile yapılmıştır. Veriler, Haziran-Aralık 2020 tarihleri arasında, Kişisel Bilgi Formu ve Araştırma Kullanım Engelleri Ölçeği (AKEÖ) kullanılarak toplanmıştır. Veriler ebelerin ve hemşirelerin özbildirimine dayalı olarak toplanmıştır. Veriler, tanımlayıcı istatistikler, Kolmogorov-Smirnov normal dağlım testi, Kruskall-Wallis H test ve Mann-Whitney U testi kullanılarak analiz edilmiştir.

Bulgular: Ebe ve hemşirelerin AKEÖ puan ortalamasının (91.22±15.30) yüksek olduğu belirlenmiştir. Araştırma kullanımı ile ilgili en yüksek engel algısının “Kurum” ve “Hemşire” alt boyutlarına, en düşük engel algısının “Araştırma” ve “Sunum” alt boyutlarına ait olduğu saptanmıştır. Ebe ve hemşirelerin %33’ü, kaynaklara ulaşımın sağlanmasının araştırma kullanımında en önemli kolaylaştırıcı faktör olduğunu belirtmişlerdir. Ebe ve hemşirelerin AKEÖ toplam puan ortalamasıyla eğitim durumu hariç diğer tüm tanıtıcı özellikler arasında istatistiksel olarak anlamlı farklılık olmadığı bulunmuştur.

Sonuç: Araştırmada kadın hastalıkları ve doğum alanında çalışan ebe ve hemşirelerin araştırma sonuçlarını kullanım engel algısının yüksek olduğu belirlenmiştir. Ebe ve hemşirelerin araştırma sonuçlarına ulaşmasını ve uygulamada kullanılmasını kolaylaştıracak (kaynak, internet erişimi vb.) stratejiler geliştirilmelidir. Buna yönelik kadın hastalıkları ve doğum alanında araştırma ve kanıta dayalı uygulama kültürü oluşturma konusunda kurum içi faaliyetler yapılmalıdır. Bu bağlamda üniversite-hastane işbirliğinin sağlanması önemlidir.
Hemşirelik Öğrencilerinin Hemşirelik Tanılarını Algılama Düzeyleri ile Klinik Performanslarına İlişkin Öz Yeterliklerinin Belirlenmesi
Authors: KURTGÖZ Asli , ÇAYIR YILMAZ Merve
Published: October 2023

Amaç: Bu çalışma, hemşirelik öğrencilerinin hemşirelik tanılarını algılama düzeyleri ile klinik performanslarına ilişkin öz yeterliklerini belirlemek amacıyla yürütülmüştür.

Yöntem: Tanımlayıcı ve kesitsel tipte olan bu araştırma bir devlet üniversitesinin sağlık bilimleri fakültesinde öğrenim gören 212 hemşirelik bölümü öğrencisi ile gerçekleştirilmiştir. Araştırmanın verileri tanıtıcı bilgi formu, Hemşirelik Tanılarını Algılama Ölçeği ve Klinik Performansta Öz-Yeterlilik Ölçeği kullanılarak toplanmıştır.

Bulgular: Hemşirelik öğrencilerinin %83.5’inin hemşirelik tanılarını gerekli bulduğu, %56.1’inin hemşirelik tanısı belirleme sürecinde sorun yaşadığı, Hemşirelik Tanılarını Algılama Ölçeği puan ortalamasının 2.54±0.68; Klinik Performansta Öz-Yeterlilik Ölçeği puan ortalamasının 70.36±16.31 olduğu belirlenmiştir. Hemşirelik Tanılarını Algılama Ölçeği ile Klinik Performansta Öz-Yeterlilik Ölçeği puan ortalamaları arasında negatif yönde düşük düzeyde anlamlı bir ilişki olduğu saptanmıştır (r=.182, p=0.008).

Sonuç: Bu çalışmada öğrencilerin hemşirelik tanılarını algılama düzeylerinin orta; klinik performanslarına ilişkin öz yeterlik algılarının ise %70 oranında yeterli olduğu tespit edilmiştir. Hemşirelik Tanılarını Algılama Ölçeği ile Klinik Performansta Öz-Yeterlilik Ölçeği toplam puan ortalamaları arasında negatif yönde düşük düzeyde anlamlı bir ilişki olduğu saptanmıştır. Öğrencilerin hemşirelik tanılarını algılama düzeyini cinsiyet ve öğrenim görülen sınıf değişkenlerinin etkilediği belirlenmiştir. Öğrencilerin klinik performans öz yeterlik düzeylerini ise cinsiyet, hemşirelik bölümünde öğrenim görmekten memnun olma durumu, hemşirelik tanılarını gerekli bulma durumu ve hemşirelik tanısı belirleme sürecinde sorun yaşama durumu değişkenlerinin etkilediği bulunmuştur. Öğrencilerin tanılama becerilerinin ve klinik uygulamalardaki öz yeterliklerinin gelişimini desteklemek için lisans eğitimleri esnasında hemşirelik sürecine ayrılan sürenin artırılması ve öğretim elemanlarının farklı öğretim yöntemlerini kullanmaları önerilir.
Knowledge, Behaviours and Affecting Factors About Human Papilloma Virus and Vaccination Among University Students
Authors: CHARNELLE Daina , TEKBAŞ Serap
Published: October 2023

Objective: The purpose of this research was to evaluate knowledge and behaviours of university students about Human Papillomavirüs (HPV) infection and the HPV vaccine.

Method: This descriptive study was carried out between 05.04.2020 and 25.07.2020. The population of the research consisted of 267 international students studying in the law and engineering faculties of Near East University, and the sample group consisted of 213 international students. The data were collected through an online questionnaire developed by the researcher based on the literature review and consisting of four parts: demographic criteria, characteristics, behaviors of students regarding HPV infection and vaccine, information about HPV infection, and information about HPV vaccine. The data were analyzed using the SPSS 22.0 program and the analysis results were interpreted at the p
Determination of Knowledge and Attitudes of Nurses About Pain Management: A Cross-Sectional Study
Authors: TOPAL HANÇER Ayşe , YILMAZ Meryem , YILMAZ EKER Pınar
Published: October 2023

Objective: The aim of this study was to determine the knowledge and attitudes of nurses working in surgical and internal medicine clinics on pain management.

Methods: This study is descriptive and cross-sectional. A total of 140 nurses working in surgical and internal clinics in a hospital participated in the study. The data were obtained by questionnaire form and Nursing’s Knowledge and Attitudes Survey Regarding Pain (NKASRP). Data were analyzed by using SPSS 22.0 software. In the evaluation of the data; ANOVA, Mann Whitney U, Kruskal Wallis significance test, and logistic regression analysis were used.

Results: The mean score of the NKASRP scale of the nurses was 17.72±3.72. It was found that working for more than ten years, receiving graduate education and frequent encounters with painful patients were associated with a high level of knowledge. The probability of having sufficient knowledge of nurses working in surgical clinics was found to be 1.12 times higher (95% CI: 1.02-1.24) than nurses working in internal medicine clinics.

Conclusions: Effective pain management requires the nurse's correct knowledge, attitude and assessment related to pain. The present study determined that nurses had a lack of knowledge and misconceptions about pain assessment and pain medication use, which are the main obstacles to effective pain management.
Türkiye’de Son 10 Yılda Hemşirelik Alanında Yapılan Oral Kemoterapi Konulu Makalelerin İncelenmesi
Authors: BİCAV Baise , KUTLUTÜRKAN Sevinç
Published: October 2023

Bu çalışmada, Türkiye’de hemşirelik alanında 2012-2023 yılları arasında yayımlanan oral kemoterapi konulu makalelerin incelenmesi amaçlanmıştır. Araştırma literatüre dayalı retrospektif tipte tanımlayıcı olarak yapılmıştır. Türkçe ve İngilizce olarak “oral kemoterapi”, “hemşirelik” anahtar kelimeleri kullanılarak Google Akademik, Türk Medline ve Pubmed veri tabanlarından araştırılmıştır. 2012-2023 yılları arasında yayımlanan ve dahil edilme kriterlerini karşılayan 11 makale incelenmiştir. Makalelerin %81.8’i araştırma makalesi ve %18.2’sinin derleme olduğu saptanmıştır. Makalelerin %54.5’i ulusal, %45.5’i ise uluslararası dergilerde ve %63.6’sı İngilizce olarak yayımlanmıştır. Araştırmaların %45.5’i oral kemoterapi de ilaç uyumunu incelemiştir. Araştırmaların %100’ü hastalar ile gerçekleştirilmiştir. Araştırmalarda örneklem popülasyonu olarak sağlık profesyonelleri ve hastalara bakım veren aile üyeleriyle yapılan çalışmalara ulaşılamamıştır. Hasta bakım kalitesi açısından bu grupların farkındalıkları, bilgi düzeyleri, klinik uygulamaları ve destek ihtiyaçlarının saptanmasının kanıt temelli çalışmalara yol gösterici olacağı düşünülmektedir.
Effect of Organic Manure and Foliar Application of Boron on Morphological and Economic Parameters of Sindh-1 and CKC-3 Cultivars of Cotton Under Semi-arid Climate
Authors: Laghari Abdul Hafeez , Muhammad Jan , Chang Muhammad Saleem , Hakro Shoaib Ahmed , Vistro Reema , Mastoi Sumbul Mureed , Mari Zulfiqar Ali , Laghari Zoia
Published: October 2023

Cotton (Gossypium hirsutum L.) has a central position in agriculture, similarly it adds to Pakistan’s economy as trade profit. Most of the cotton growing areas of Pakistan are deficient in organic matter due to continuous mono-cropping. Concerning these issues, a one-year field research was conducted during Kharif season in 2021 to evaluate the effect of organic manure and foliar application of boron on morphological and economic characters of CKC-3 and Sindh-1 cultivars under semi-arid climate. Treatments included soil applied farmyard manure (FYM) and foliar application of boron (B): T1 = Control (0 FYM + 0 B), T2 = FYM @10 tons/ha1, T3 = 1% B, T4 = 2% B, T5 = FYM @10 tons/ha1 + 1% B, T6 = FYM@10 tons/ha1 + 2% B. Our results suggested that the treatment of soil applied FYM and foliar applied B @ FYM 10 tons/ha1 + 2% B significantly (P≤0.05) influence the morphological characters including, sympodial branches per plant, opened bolls per plant, seed cotton weight per plant (g), seed cotton yield (kg ha-1), lint yield per plant (g), and GOT (%) of both Sindh-1 and CKC-3 cultivars of cotton. However, CKC-3 performed better than Sindh-1 cultivar in most of the growth and yield related parameters under different treatment regimes. Hence, the optimum FYM and B foliar application levels for economical cotton production was considered to be FYM @10 tons/ha1 + 2% boron along with recommended dose of NPK fertilizers under semi-arid climate.
Risk Factors and Incidence of Serious Infections in Patients With Systemic Lupus Erythematosus Undergoing Rituximab Therapy
Authors: Sun Yi-Syuan , Huang De-Feng , Chen Wei-Sheng , Liao Hsien-Tzung , Chen Ming-Han , Tsai Ming-Tsun , Yang Chih-Yu , Lai Chien-Chih , Tsai Chang-Youh
Published: October 2023

Objective

To evaluate the risk and protective factors of serious infection (SI) in patients with systemic lupus erythematosus (SLE) within 180 days of rituximab (RTX) treatment.

Methods

Patients with SLE treated with RTX were analyzed. SI was defined as any infectious disease requiring hospitalization. The clinical characteristics, laboratory profiles, medications, and incidence rate (IR) are presented. Multivariate Cox proportional hazards models and Kaplan-Meier analysis for risk factors of SI were performed.

Results

A total of 174 patients with SLE receiving RTX treatment were enrolled. The overall IR of SIs was 51.0/100 patient-years (PYs). Pneumonia (30.4/100 PYs), followed by soft tissue infections, intra-abdominal infections, andPneumocystis jirovecipneumonia (all 6.1/100 PYs) were the leading types of SIs. Twelve patients died during the 180-day follow-up (crude mortality rate: 14.6/100 PYs). Chronic kidney disease (CKD), defined as an estimated glomerular filtration rate < 60 mL/min/1.73 m2(hazard ratio [HR] 2.88, 95% CI 1.30-6.38), and a background prednisolone (PSL) equivalent dosage ≥ 15 mg/day (HR 3.50, 95% CI 1.57-7.78) were risk factors for SIs among all patients with SLE. Kaplan-Meier analysis confirmed the risk of SI for patients with SLE with CKD and a background PSL equivalent dosage ≥ 15 mg/day (log-rankP= 0.001 and 0.02, respectively). Hydroxychloroquine (HCQ) reduced the risk of SIs in patients with SLE (HR 0.35, 95% CI 0.15-0.82; log-rankP= 0.003).

Conclusion

SI was prevalent in patients with SLE after RTX treatment. Patients with SLE with CKD and high-dose glucocorticoid use required constant vigilance. HCQ may reduce the risk of SI among patients with SLE administered RTX.
Breakthrough COVID-19 After Tixagevimab/Cilgavimab Among Patients With Systemic Autoimmune Rheumatic Diseases
Authors: Kawano Yumeko , Wang Xiaosong , Patel Naomi J. , Qian Grace , Kowalski Emily , Bade Katarina J. , Vanni Kathleen M.M. , Jonsson A. Helena , Williams Zachary K. , Cook Claire E. , Srivatsan Shruthi , Wallace Zachary S. , Sparks Jeffrey A.
Published: October 2023

Objective

To determine the incidence and baseline factors associated with breakthrough coronavirus disease 2019 (COVID-19) after preexposure prophylaxis (PrEP) with tixagevimab/cilgavimab among patients with systemic autoimmune rheumatic diseases (SARDs).

Methods

We performed a retrospective cohort study among patients with SARDs who received tixagevimab/cilgavimab between January 2, 2022, and November 16, 2022. The primary outcome was breakthrough COVID-19 after tixagevimab/cilgavimab. We performed multivariable Cox regression models adjusted for baseline factors to identify risk factors for breakthrough COVID-19.

Results

We identified 444 patients with SARDs who received tixagevimab/cilgavimab (mean age 62.0 years, 78.2% female). There were 83 (18.7%) breakthrough COVID-19 cases (incidence rate 31.5/1000 person-months, 95% CI 24.70-38.24), 7 (1.6%) hospitalizations, and 1 (0.2%) death. Older age was inversely associated with breakthrough COVID-19 (adjusted hazard ratio [aHR] 0.86/10 years, 95% CI 0.75-0.99). Higher baseline spike antibody levels were associated with lower risk of breakthrough COVID-19 (aHR 0.42, 95% CI 0.18-0.99 for spike antibody levels > 200 vs < 0.4 units). CD20 inhibitor users had a similar risk of breakthrough COVID-19 (aHR 1.05, 95% CI 0.44-2.49) compared to conventional synthetic disease-modifying antirheumatic drug (DMARD) users.

Conclusion

We found that patients with SARDs had frequent breakthrough COVID-19, but the proportion experiencing severe COVID-19 was low. DMARD type, including CD20 inhibitors, did not significantly affect risk of breakthrough COVID-19. Evidence of prior humoral immunity was protective against breakthrough infection, highlighting the continued need for a multimodal approach to prevent severe COVID-19 as novel PrEP therapies are being developed.
Approche géopolitique de la pandémie de Covid-19
Authors: Giblin Béatrice
Published: October 2023

Août 2021, et l’actualité est encore et toujours marquée par la pandémie de Covid-19 depuis janvier 2020. Une course contre la montre qui se poursuit entre la vaccination massive et les mutations du virus dont chaque variant se révèle plus contagieux que le précédent. Le virus apparu en Chine a paradoxalement été une formidable opportunité pour Xi Jinping qui a indéniablement su profiter de la pandémie pour affirmer au reste du monde l’efficacité, voire la supériorité, du système politique chinois dans la gestion d’une épidémie. Il en a été de même pour l’Union européenne qui de façon totalement inattendue, et alors qu’elle était plutôt inquiète des difficultés dues au Brexit, a été confortée par la pandémie. Le Covid-19 a permis ce qui était interdit lors de la crise financière de 2008. Les règles budgétaires – les fameux critères de Maastricht gravés prétendument dans le marbre – sont suspendues et un plan de relance financé par un emprunt au nom de l’UE a été accepté par les vingt-sept États. Quant à la stratégie vaccinale elle s’est avérée très efficace. Quant à la France, très touchée par la première vague, surtout dans certaines régions, elle se distingue des autres États européens par une résistance à la vaccination inattendue par son ampleur.
The Power of Citation: Feminist Counter-Appropriation of State Discourses in Post-Reform China
Authors: Zhang Jingxue , Zhang Charlie Yi
Published: October 2023

This article presents a comprehensive examination of the new discursive strategy devised and deployed by Chinese pan-feminist communities in response to the pervasive state intrusion, which we call feminist counter-appropriation. These tactics entail adoption and strategic adaptation of the state-sanctioned discourses by feminist netizens to tell their own stories while shielding them from severe punitive measures. Our analysis discerns two types of counter-appropriation practices: deliberate counter-appropriation that involves parodic and satirical redeployment of the party-state’s stigmatizing framing of feminism, and promotional counter-appropriation that uncritically embraces the sanitized version of feminism following the statist and nationalist logic yet creates room for discussion of gender-related and other forms of social inequalities. While acknowledging inherent limitations and susceptibility to manipulation by conservative forces, we argue that these counter-appropriation practices demonstrate the resilience of civil societies in navigating censorship and oppression to subvert the oppressive intentions of party bureaucrats, expose inherent flaws of the official languages, and challenge the entrenched gender inequalities in post-reform China.
Illuminating Museums. From Design to Experience
Authors: Gobbato Viviana
Published: October 2023

This paper raises the possibility of museum lighting as a tool for ‘mediation’ within museums. It studies its functions in the process of interpreting, transmitting and receiving collections. Based on a comprehensive approach to design and experience, the author focuses specifically on three possible functions: ostensive function (to show space and artworks), cognitive function (to influence the construction of meaning and reasoning), and aesthetic function (to stimulate sensitive and contemplative states). To explore the mediating functions of lighting in both design and experience, she discusses the findings from several case studies (30 European museums), interviews with lighting designers and museum managers (54), as well as participant observations (4 months) and surveys on embodied cognition and experience (26). Three concepts emerge that could contribute to new research studies in the field of museology, specifically focusing on exhibition design and the visitor experience: ‘museum lighting design,’ ‘light sensory index’ and ‘luminous sensory mediation.’
Fully extended $r$-spin TQFTs
Authors: Carqueville Nils , Szegedy Lóránt
Published: October 2023

We prove the

r

-spin cobordism hypothesis in the setting of (weak) 2-categories for every positive integer

r

: the 2-groupoid of 2-dimensional fully extended

r

-spin TQFTs with given target is equivalent to the homotopy fixed points of an induced

\mathrm{Spin}_2^r

-action. In particular, such TQFTs are classified by fully dualisable objects together with a trivialisation of the

r

th power of their Serre automorphisms. For

r=1

, we recover the oriented case (on which our proof builds), while ordinary spin structures correspond to

r=2

.

To construct examples, we explicitly describe

\mathrm{Spin}_2^r

-homotopy fixed points in the equivariant completion of any symmetric monoidal 2-category. We also show that every object in a 2-category of Landau–Ginzburg models gives rise to fully extended spin TQFTs and that half of these do not factor through the oriented bordism 2-category.
Extremal problems in geometric function theory
Authors: Avkhadiev Farit Gabidinovich , Kayumov Ilgiz Rifatovich , Nasyrov Semen Rafailovich
Published: October 2023

This survey is devoted to a number of achievements in the theory of extremal problems in geometric function theory. The approaches to the solution of problems under consideration and the methods used are based on conformal isomorphisms and on the theory of univalent functions developed since the beginning of the 20th century. Results on integral means of conformal mappings of a disc are presented and, in particular, Dolzenko's inequality for rational functions is extended to arbitrary domains with rectifiable boundaries. Investigations in the field of Bohr-type inequalities are described. An emphasis is made on integral inequalities of Hardy and Rellich type, in which the analytic properties of inequalities are intertwined with geometric characteristics of the boundaries of domains. Results related to the solution of the Vuorinen problem on the behaviour of conformal moduli under unlimited dilations of the plane are presented. Formulae for the variation of Robin capacity are obtained. One-parameter families of rational and elliptic functions whose critical values vary in accordance with a prescribed law are characterized. The last results on Smale's conjecture and Smale's dual conjecture are described.
Bibliography: 149 titles.
On integrability of the deformed Ruijsenaars-Schneider system
Authors: Zabrodin Anton Vladimirovich
Published: October 2023

We find integrals of motion for the recently introduced deformed Ruijsenaars-Schneider many-body system, which is the dynamical system for poles of elliptic solutions to the Toda lattice with constraint of type B. Our method is based on the fact that the equations of motion for this system coincide with those for pairs of Ruijsenaars-Schneider particles which stick together preserving a special fixed distance between the particles. We also obtain Bäcklund transformations and integrable time discretization of the deformed Ruijsenaars-Schneider system, which is shown to be the dynamical system for poles of elliptic solutions to the fully discrete Kadomtsev-Petviashvili equation of type B. In additon, we propose a field analogue of the deformed Ruijsenaars-Schneider system on a space-time lattice.
Bibliography: 35 titles.
Assessment of Performance and Emission Characteristics using Algae Biodiesel in an Additive Fuelled LHR Engine
Authors: Panchamoorthy Ramadoss , Velappan Ramaiyan , Sivaprakasam S. , Sundararajan M.L.
Published: October 2023

Automobiles use compression-ignition (CI) engines because they have more pulling power, are more dependable and use less fuel than spark-ignition (SI) engines. Both CI and SI engines use petroleum-based oils, contributing to environmental pollution like acid rain, ozone depletion and climate change. The cost of petroleum-based fuel is increasing daily due to demographic growth and the development of manufacturing industries. There are four phases to the experiments. The first stage involves mixing diesel with 20% of ALME, the outcomes showed that engine operation and combustion are comparable to conventional diesel fuel. In the second stage, an LHR engine tests 20% of ALME and the results showed that BTE of LHR engine had significantly increased. In comparison, NOx increases in LHR-operated CI engine, CO, HC and smoke emissions are significantly lower than with a conventional engine. The third stage looks at how NA interacts with biodiesel to affect conventional engine’s combustion, emission and engine performance. The prepared algae biodiesel is blended with NA in various ratios of 500ppm, 1000ppm, 1500ppm and 2000ppm. At 1000ppm concentration, NOx emission from conventional and LHR engines has been effectively minimized under load conditions. Concerning diesel fuel, emissions like CO, HC and smoke are significantly reduced for all loads. In the fourth stage, tests on the LHR engine are carried out using the SBME with NA in various proportions. When compared to base fuel, it has been found that NOx emission has decreased significantly at 1000ppm compared to conventional engines and other emissions have decreased.
Effect of Dwell Angle and Two-Stage Fueling Approach on the Engine Parameters of CRDi Engine using WCO Biodiesel Blends
Authors: Fernandes L.J. , Rajashekhar C.R.
Published: October 2023

In this paper, the impact of dwell angle and two-stage fueling technique on engine efficiency and tailpipe emissions in a 3.5 kW powered four-stroke diesel engine fueled with waste cooking oil (WCO) biodiesel blends were investigated. An experiment with single-cylinder high-pressure CRDi equipped diesel engine was executed at two different dwell angles (5° CA and 10° CA) with varying pilot fueling quantities of 10% and 20% at nozzle fueling pressure of 600 bar. The outcomes revealed that the combined effect of dwell angle and two-stage fueling techniques had enhanced the BTE by 8.13% for B20P20 pilot fueling timing (PFT) of 28° bTDC, whereas BSFC lowers for B20P20 blend at pilot fueling timing of 33° bTDC. Comparing B20P20 PFT at 28° bTDC to PFT at 33° bTDC, CO, HC and smoke emissions drop by 72.72%, 37.04%, and 93.75%, respectively. The nitrogen oxide reduction is unaffected by two-stage fueling strategy among all the test sample fuels and significantly higher for the biodiesel blends than mineral diesel.
Compressive and Shear Strength of Kevlar based Nano Composites
Authors: Mohaideen M. Mohammed , Sai P.H.V. Sesha Talpa , Raj R. Ajith , Anand V.G. Krishna
Published: October 2023

The Fibre Reinforced Composite (FRC) material consists of building materials in macroscopic level by having fibres and resin as reinforcement and matrix material respectively. It has different physical and chemical properties that were bonded together in order to get new material with different required characteristics from individual components. The properties of the composites are largely depending on the matrix and reinforcement materials. The matrix strengthening process by introduction of fine nano particles in composite laminate was done in this work. In order to study the effect of nano particles, the composite consists of Kevlar- 49 (K49) fibre in woven form with epoxy resin as matrix was considered. All the test specimens have been prepared with 12 layers of K49 to build 3mm thickness using vacuum bag moulding method. The K49 fibre in form of plain-woven type were chosen as reinforcement material. The nano fillers such as Titanium dioxide (TiO2), Calcium Carbonate (CaCO3) and Graphite powder (Gr) were used as nanomaterial added in the matrix and was compared with pure K49 reinforced composites for better performance. The TiO2, CaCO3 and GR nano fillers were constituted on various weight ratios in FRC. The structural properties like compression and shear strengths were determined as per ASTM standards. The fracture behaviour for all the categories of laminate has been detailed and reported using scanning electron microscope.
Design of Super-Lift Luo Converter for Electric Vehicle Applications
Authors: Sabarimuthu M. , Priyadharshini N. , Arunkumar M. , Reddy Dola Sainath , Naveenkumar Bellam , Boopathi D.
Published: October 2023

Electric vehicles (EVs) are replacing conventional vehicles in the automobile industry. An energy storage device (battery) plays a major role in providing a power supply to the vehicle. Due to automotive constraints, the power supply should be highly efficient and have low current and voltage ripple. The design of 12V-60V DC-DC Super-lift Luo Converter (SLLC) is proposed in this paper, with an emphasis on electric vehicle (EV) applications. The conventional boost converter (12V-60V) is modelled and analysed in Matlab Simulink and the output voltage ripple is calculated. A three-stage SLLC is then designed and modelled in Matlab Simulink. The voltage output is analysed for each stage and the ripple voltage is re-calculated. The comparison of voltage ripple between the CBC and SLLC shows that, the output ripple gets reduced by using the proposed SLLC.
Tribological Behavior of Physical Vapor Deposition Coating for Punch and Dies: An Overview
Authors: Abebe Yohanes , Sivaprakasam P. , Desta Melaku , Udayaprakash J. , Saravanan M.P.
Published: October 2023

Punches and dies are cutting tools used to make holes on metallic surfaces using the punch which passes through the work into a die. Todays tool/die machinists and buyers need to know more than simply the qualities of the raw metal that forms the tooling blank because of the rapid evolution of PVD coating technology. When it comes to tooling design, raw material, heat treatment, coating qualities, material being machined, cycle time requirements and permitted machine downtime, they must comprehend the full system. Surface modifications for punch/dies are typically required to improve their mechanical and corrosion, properties. Therefore PVD coatings of punch/die material using TiN, TiCN, CrN, TiAlN and nanocomposite coatings has improved the tribological properties, reduce total cost of tools and down time. This paper focuses on comprehensive review on PVD processes on punch/die materials, properties of die materials such as wear, hardness and surface finishes etc. In addition to that coating materials, its properties and characterization techniques were addressed.
Impact of Hydrogen on Emission Reduction in a CI Engine when Fuelled with Blends of Diesel-Waste Cooking Biodiesel
Authors: Kumar N. Harish , Balaji D. , Babu R. Sathish , Hariram V.
Published: October 2023

Waste utilisation and emission of greenhouse gases are two of the world's most pressing challenges today. This study seeks to solve the problem generated by the disposal of Waste Cooking Oil (WCO) as a tiny step forward in contributing to the reduction of waste disposal. WCO has a high potential as a bio fuel for internal combustion engines, hence it was chosen for this investigation. WCO of 20% and diesel 80% is used. This study looks at the performance, combustion and emission parameters of a dual fuel compression ignition engine running on WCO biodiesel with a hydrogen additive at atmospheric condition. The parametric study include variation in engine load (0-18 kg) and hydrogen flow rate (3, 6, 9 LPM). The experiment was conducted on a four-stroke diesel (computerized), single cylinder, water cooled power at 5.2 kW at 1500rpm Kirloskar engine. From the experiment overall parametric variation of 35.38%, 34.06% and 32.37% of brake thermal efficiency was obtained and emission was observed. However, with increase of hydrogen flow rate resulted in increased engine performance, increase in CO, NOx and reduction in emission of UBHC and CO2.
Implementation of Enhanced Chimp Optimization Algorithm in Cognitive Radio Networks for Vehicular Mobile Communication
Authors: Vidhya S. , Al-Khafaji Hamza Mohammed Ridha , Priya M. Sathya , Kaldarova Bolganay , Velu C.M. , Raj K. Bhavana , Togzhanova Zhanar
Published: October 2023

In recent years, 6G technology has been extended to many different applications, especially mobile communications. As a result, the volume of mobile data increases, which poses a problem with the load on the plane of control (IoE, IoT). This problem is solved by efficient use of resources and reduced power consumption in cognitive radio networks (CRNs). In the literature, many methods have been developed by researchers to control spectrum sensing as well as energy -efficient operation, but they still need to be improved to improve system efficiency and processing power. Therefore, in this paper, an energy efficient method for Opposition Function -based Chimpanzee Optimization Algorithm (OFCOA) is developed in CRN for energy management as well as resource allocation. The proposed method is a combination of Opposition Function (OF) and Chimpanzee Optimization Algorithm (COA). In COAs, the optimal decision process is enhanced by the use of OF. The proposed method provides energy efficient operation in CRN through energy management taking into account spectrum measurements. The proposed method was tested under four Primary User (PU) and Secondary User (SU) conditions with channel occupation and CRN findings. The proposed methodology is implemented in MATLAB and performance is measured based on performance metrics such as processing power, network life, transmission rate, delay, flush, power consumption and overhead. The performance of the proposed methodology is compared with traditional methods such as Chimpanzee Optimization Algorithm (COA), Whale Optimization Algorithm (WOA) and Particle Swarm Optimization (PSO).
Effects of Reynolds Number on the Volume Concentration of Al2O3 in Ethylene Glycol
Authors: Basavaraj Kusammanavar , Elangovan K. , Shankar S. , Kulkarni Anand , Satyanarayan S.
Published: October 2023

The nanofluid is suspension of nanoparticles in the base fluid used to enhance the heat transfer rate in many applications of heat transfer. The Reynolds number is the dimensionless number used to characterize the flow of the nanofluid to enhance the heat transfer rate. The current study, the effects of Reynolds number on 0.01% volume concentrations of the aluminium oxide (Al2O3) nanoparticles in the ethylene glycol through the flow in the pipe are investigated. In the study, ethylene glycol is considered as the base fluid. The thermophysical characteristics of the Al2O3/EG nanofluid were determined in the current work using a cylindrical copper pipe with an 8 mm diameter and 400 mm length. The heat transfer coefficient (HTC) and Nusselt number were calculated for the Reynolds number varied from 200 to 1200, considering nanofluid inlet temperature of 298 K and constant heat flux at the wall surface of pipe 1100 W/m2 K. The findings showed that the HTC and Nusselt number of the nanofluid flow in the pipe increased as the Reynolds number increased. Further, an exponential correlation was proposed for variation of the Reynolds number with HTC and Nusselt number for the obtained results. ANSYS Fluent software was used for the analysis of the nanofluid flow though pipe.
A Review of Wheel-Rail Contact Mechanics for Railway Vehicles
Authors: Bhardawaj Sono , Sharma Rakesh Chandmal , Gupta Punit , Dobriyal Ritvik , Sharma Ashwini , Pant Mayank
Published: October 2023

The dynamic behaviour of a railway vehicle is mainly depending on how the interaction of wheel and rail is taking place in running operation and what is the accuracy and efficiency of the applied contact models. Contact mechanics of railway vehicle is keyed with the history of the wheel-rail contact mechanics. For a designer of braking and traction control systems, it is essential to go through the fundamental knowledge of forces produced due to contact of wheel-rail and geometric constraints as well as moments to assess the wheel-rail wear and to evaluate the ride performance indices. This article gives a brief review to the evolution and present scenario of the previously published contact theories to get rid of the wheel-rail contact problems. The key theories which have most attention to solve normal contact problems are Hertzian contact theory as well as non-Hertzian contact theory, whereas, to tackle the problems related to tangential contact, linear as well as non-linear theories proposed by Kalker, theory proposed by Polach, FASTSIM, CONTACT etc are considered in this paper. This paper reviews the state-of-the-art of past studies based on experiments to study various contact models.
Methodology and Research of Intelligent New Energy Vehicle Motion Control System based on Fuzzy Adaptive
Authors: Ji Duan , Li Haiqing , Liu Wei
Published: October 2023

To resolve the difficult control issue of intelligent new energy automobile in the process of vehicle control, the study starts from the vehicle motion mode and splits the vehicle control into two parts, transverse control and longitudinal control. Among them, the longitudinal speed control is controlled by an improved adaptive PID model, while the lateral angle control is dominated by an indistinct adaptive PID model, afterwards longitudinal speed control is combined with the lateral angle control for joint control. Finally, the study uses the actual lane simulation to verify the three perspectives of transverse control, longitudinal control and joint control respectively. It shows that the longitudinal control and lateral control are well realized with the improved adaptive PID model control effect at 8km, 15km and 20km per hour. Meanwhile, maximum trajectory error of the combined direction and transverse dominate is always lower than 0.5m at vehicle speeds of 8km/h, 16km/h and 20km/h in the integrated road environment and the combined longitudinal speed and transverse angle control performance is good in the curves. This shows that the model designed by the research can realize adaptive real-time precision control.
Identification Method of Vehicle Key Performance Parameters based on PSO Algorithm
Authors: Liu Qingfeng , Feng Lewen , Guo Jianhong
Published: October 2023

In order to improve the identification effect of vehicle key performance parameters, this paper applies the PSO algorithm to the identification of vehicle key performance parameters and focuses on analyzing the parameters of the vehicle key performance parameter monitoring equipment and the propagation environment. The improvement of sensitivity of the monitoring receiver can effectively extend the coverage distance. NLOS is a ubiquitous transmission environment and changing NLOS to LOS propagation further extends the coverage distance. In order to ensure the communication quality of radio communication users, ensure that the service area covered by radio waves and the reliability of radio wave propagation, this paper calculates the propagation loss from the receiving antenna to the transmitting antenna in detail. The experimental results show that the identification method of vehicle key performance parameters based on PSO algorithm proposed in this paper can play an important role in the identification of vehicle key performance parameters.
Effect of Exhaust Gas Recirculation on a CRDI Engine fuelled with Biodiesel, Ethanol and Butanol
Authors: Yogesh P. , Chandramohan D. , Rajeswari N. , Palani Sarangapani
Published: October 2023

The global community has focused on the sustainability of petroleum-based fuel supply due to increased usage in various sectors, depletion of petroleum resources, and volatile crude oil market prices. We are looking for alternative fuel. As a result, we have chosen biodiesel. In this paper, a diesel blend containing biodiesel, ethanol, and butanol was created to test the characteristics of a common rail direct injection (CRDI) diesel engine equipped with an exhaust gas recirculation (EGR) system. The blends of diesel-biodiesel and diesel-biodiesel-ethanol-butanol were designated as B40 and B40-E10-BUT10 respectively. The experiment is carried out at a rate of 20% EGR. The experimental results show that the mechanical efficiency is higher in biodiesel blends than in diesel. The use of an EGR system with these blends reduces NOx by lowering the oxygen concentration in the combustion chamber.
Assembly Sequence and Assembly Path Planning of Robot Automation Products Based on Discrete Particle Swarm Optimization
Authors: Cen H.
Published: October 2023

The product assembly process in industrial production is a time-consuming and labour-intensive link, so the use of robots for intelligent assembly can achieve high-efficiency operations to a large extent. During the intelligent assembly process, robots need to carry out three key processes: product information modelling, assembly route planning and assembly sequence planning. The experiment examines assembly sequence planning and assembly route planning. In light of the deficiencies of the current assembly sequence planning technique, we propose a new approach, which is difficult to calculate, the experiment proposes to introduce the DPSO algorithm into the assembly sequence planning model. Meanwhile, to prevent the model from entering local optimal, the experiment adds disturbance operation on the basis of DPSO. That is, a part is randomly selected to be inserted into another position in the disassembly sequence and at the same time, the rest of the parts are moved to form a new disassembly sequence to update the particle's location. In addition to the assembly sequence planning, the experiment aims to improve the planning path obtained by the existing RRT algorithm, which is not smooth enough, that is, to simplify the installation path by reducing the change of direction. The simulation experiment findings demonstrate that the addition of the disturbance to DPSO algorithm successfully prevents the model from entering a local optimum state. The moving distance of the parts before path optimization is 52.0012mm and the number of moving direction changes is 8 times, while the moving distance of the parts after path optimization is reduced to 42.8094mm and the moving direction is changed only 2 times.
Prediction of Battery Life and Fault Inspection of New Energy Vehicles using Big Data
Authors: Zeng Qingde , Li Shengfu
Published: October 2023

New energy vehicles have gradually become the preferred means of transportation for people to travel greenly. Lithium batteries, as batteries for new energy vehicles, its quality directly affects the safety of vehicles and mileage is also the core data that people consider when choosing vehicles one. Therefore, the research uses big data to predict and test the battery life and failure of new energy vehicles. When predicting the battery life, the improved P-GN model has a good prediction effect and the model reaches the convergence state only three iterations and converged to 0.83. The optimal fitness converges at the beginning of iteration, reaching the optimal value of 1.946 after only four iterations. The error between the predicted value and the actual value of the remaining cruising range is within an acceptable range. When the weather condition is good, the prediction effect of the remaining cruising range is excellent and the fluctuation of the prediction difference is small. When the weather conditions are severe, the model can still predict the cruising range of the battery pack normally. When performing fault detection on the battery pack, the fault detection system can accurately and quickly detect the type of fault and effectively analyse the inconsistency of the battery and be accurate to the single faulty battery. When analysing the single faulty battery, it is proposed that the fault detection system can accurately diagnose the fault in the test battery, which not only takes a short time but also has good feasibility.
Research on Power Control Strategy of Automotive Fuel Cell based on Sag Control and Fuzzy Logic
Authors: Wang F. , Mei Q.Z. , Xin X.L.
Published: October 2023

Fuel cell vehicles powered by proton, exchange membrane fuel cell systems. They have gained widespread attention for their unique environmental advantages. Pure fuel cell system usually uses hybrid power system because of its soft output and slow dynamic response. The study takes the automotive fuel cell power system as the research object, designs a power control strategy based on DC voltage sag control and fuzzy logic and proves its effectiveness by simulation for different working conditions. The simulation results show that under CYC_UDDS conditions, the bus voltage curve of the power system changes smoothly and the voltage fluctuation range is 580~612V, which satisfies the 5% voltage accuracy. And the SOC of the battery is relatively smooth in the whole cycle condition, maintaining between 0.685 and 0.715. Its slightly increasing, which is in the line with the design goal of maintaining SOC of the battery near 0.7. The scheme proposed in the study helps to solve the problems of difficult design implementation, large number of calculations, poor real-time performance and complex structure of the current existing control strategies.
Experimental Investigation on the Mechanical Properties of Carbon/Epoxy Laminates Modified with Halloysite Nanotubes at Elevated Temperatures
Authors: Ahmed J.P. Shebaz , Harikaran V. , Gokul L.
Published: October 2023

In this article, the effect of mechanical properties of carbon/epoxy laminates under different temperatures with and without Halloysite Nanotubes (HNT) as fillers in the matrix were studied. First, the HNT fillers are mixed in the matrix at the amount of 1% of the volume of the matrix and dispersed homogeneously using the ultrasonication process. Then, the composites are fabricated using the hand Lay-up process and the specimens are dimensioned as per the ASTM standards and the corresponding tests are carried out accordingly. Finally, the results were discussed after interpretation of the datum obtained from various mechanical tests. The laminates with HNT fillers exhibit good mechanical and thermal properties when compared to the laminates without filler.
Temperature and Pressure Drop Analysis of Automobile Minichannel Condenser using CFD
Authors: Patil Narhar K. , Shastri Dhiresh S. , Avhad Jyoti M. , Bhatkar Vijay W.
Published: October 2023

Refrigeration and air conditioning plays a vital role in domestic and industrial heating, cooling, refrigerating and ventilation but they are contributing to ozone layer depletion and global warming due to unfriendly refrigerants and consume 33% of the world energy. The condenser is an important component of the vapor compression system which contained 30% of the refrigerant charge. The versatile one ton of refrigeration system is designed, developed for testing minichannel condenser for different condenser temperature and pressure by providing artificial condenser compartment with three air heaters of 2.2 kW capacity each with a multispeed condenser fan for controlling air velocity. Thus, the condensation temperature is reduced by 2 to 3°C due to its special geometry, passes provided, efficient cooling and the coefficient of performance increased by 10 to 15% for condensation temperature varying from 40 to 55°C whereas evaporation temperature varies from -10 to +15°C. Computational Fluid Dynamics (CFD) simulation for different sections of the minichannel condenser such as a single minichannel, single tube with 10 minichannels, first, second, third, fourth passes with varying tubes and entire condenser with all four passes for different inlet and exit temperature are performed using ANSYS FLUENT-20 CFD turbulence models and validated with the experimental results. The pressure and temperature counters for all the sections are studied and plotted. It is found that the temperature difference between experimental and CFD results are within ±15% for all the simulations along the condenser.
RS/AS and Nugget Zone SEM Analysis and Mathematical Equations for Parameter Optimization on Friction Stir Welding Tool
Authors: Yugandhar M. , Mothilal M. , Manjunatha B. , Kannan T. Dhamothara , Patel Md. Saad , Nallusamy S.
Published: October 2023

In order to find the ideal process parameters, the friction stir welding (FSW) is assessed with a mathematical optimisation technique in this paper. In terms of optimisation, the objectives are process-related in that they define or represent how the process behaves. Since the FSW is solid-state and does not involve melting, many of the problems of conventional fusing welding techniques may be avoided. In FSW process, two work pieces are submerged in a spinning tool. As a result of friction and plastic dissipation, the temperature rises to the point where the material is sufficiently softened to be mixed together, forming a weld. Involving solid material, heat transmission, thermal softening, recrystallization and the production of residual stresses, the process is multi-physics in nature.