bluuebunny/crossref_metadata_2025 huggingface dataset:
Determination of the Knowledge Level of Nurses and Midwives Working at A University Hospital About Transfusion of Blood and Blood Products
Authors: Terzi Hatice , Sevimligül Gülgün , Yurtsever İlkay , Şencan Mehmet
Published: April 2024

OBJECTIVES: Blood transfusion is actually a tissue transplant and the possible complications are of vital importance. Thus, the healthcare personnel, who will perform the transfusion, should be trained in this regard. The aim of the present study is to determine the knowledge level of the nurses and midwives working at our hospital, about transfusion.
BACKGROUND: Blood transfusion is one of the most common and risky procedures in hospitals. Therefore, complications related to blood transfusion should be known to all nurses and midwives. In this study, we found that the in-service training of the participants about transfusion and education levels is important in terms of determining the adequacy of this training. In addition to the level of education, knowledge and skills about transfusion have an important place.

METHODS: A total of 534 healthcare professionals working at the Medical Faculty Hospital of Sivas Cumhuriyet University were included in the study. 514 (96.3%) of them were nurses and 20 (3.7%) were midwives. The questionnaire includes 9 questions about personal information, 9 questions on knowledge about pre-transfusion, 7 questions on the process of blood transfusion, 6 questions on blood and blood products, and 3 questions about the blood transfusion reaction. According to the scores taken in the questionnaire, the participants were divided in two sub-groups as group I (0-85) and group II (86-100).
RESULTS: Mean age of the participants was 30.28±7.60 (18-55) years. In the questionnaire, correct answer rate of the participants was 93.28% in questions about nursing responsibilities before transfusion, 95.2% in questions about transfusion process, 94.5% in questions about identifying and managing transfusion reactions, and 71.71% in questions about knowledge levels of blood and blood products.
CONCLUSION: Transfusion of blood and blood products is a complex process requiring a specific knowledge level. In general, it can be asserted that the nurses and midwives working at the hospital have good transfusion skills in parallel to their education, previous in-service transfusion training and their transfusion and reaction experiences.
Kardiyovasküler Hastalıklar ve Fonksiyonel Besinler
Authors: Yalçın Bahar , Özen Melike Nur
Published: April 2024

Kardiyovasküler hastalıklar (KVH), inme, kalp yetmezliği, hipertansiyon, romatizmal kalp hastalığı, periferik arter hastalığı gibi birçok hastalığı kapsayan günümüzde en sık görülen ve en büyük mortalite sebebi olan hastalık grubudur. KVH'lerin nedenleri arasında sigara kullanımı, fiziksel inaktivite, obezite, hiperlipidemi ve diyabet bulunsa da beslenme planı önemli bir etkendir. Fonksiyonel besinlerin KVH’lerin tedavisi ve önlenmesi için beslenme planında yer alması gerektiği düşünülmüş ve bu yönde araştırmalar yapılmıştır. Araştırmalar, fonksiyonel besinlerin kan lipid seviyelerini düşürme, plak oluşumunu azaltma, antioksidan etkileri ile arteriyel sağlığı iyileştirme ve trombosit agregasyonunu engelleme gibi mekanizmalarla KVH'ler üzerinde olumlu etkileri olduğunu göstermektedir. Ayrıca, bu besinler kanser, hipertansiyon ve astım gibi diğer kronik hastalıkların tedavisinde de kullanılmaktadır. Sonuç olarak, fonksiyonel besinlerin sağlıklı bir beslenme planına dahil edilmesi, kardiyovasküler risk faktörlerini azaltmada etkili bir yaklaşım olabilir. Bu derleme, farklı fonksiyonel besinlerin KVH riskini azaltma ve tedavi etme konusundaki etkinliğini destekleyen klinik bulguları özetlemektedir.
The Effect of Music to Pregnant Women on Birth Anxiety and Mental Well-Being: A randomized controlled study
Authors: Coşar Hümeyra , Bekar Mine
Published: April 2024

The research was conducted to determine the effect of music listened to during the third trimester of pregnancy on birth anxiety and mental well-being during pregnancy.
The sample of the study included 50 pregnant women in each group, 100 in total, who applied to the Gynecology and Obstetrics Polyclinic of the State Hospital in the Central Anatolia region of Turkey for routine examination and Non-Stress Test (NST), who met the inclusion criteria for the study, who were listened to music (experimental group) and the control group. . The data of the study was collected by face-to-face interview method using the Personal Information Form, Oxford Birth Anxiety Scale (OWLS) and Warwick-Edinburg Mental Well-Being Scale (WEMWBS) between January 15, 2019 and June 15, 2019.
In the research, pre-test and post-test were applied to the experimental and control groups. A pre-test was applied to the experimental group, and then they were listened to music accompanied by daydreaming for 20 minutes, 5 times on different days each week. A posttest was administered at the end of the application. The control group was administered only the pretest and the posttest five weeks later.
According to the results of the research, when the pre-test and post-test scores of the pregnant women participating in the experimental group were compared, it was seen that their concerns about pain during birth, distress, prenatal uncertainty, and interventions to be performed decreased in the post-test. Feeling good, self-confidence increased, mental well-being and coping levels increased.
In line with these results, it is recommended that pregnant women be listened to music, given birth preparation suggestions, and implemented together with midwives in order to reduce birth anxiety and increase mental well-being during pregnancy.
Diagnostic Contribution of Hematological Parameters in Patients with Lung İnvolvement in Rheumatoid Arthritis
Authors: Atik Seda , Apalan Deniz , Atik İrfan
Published: April 2024

Rheumatoid arthritis (RA) is a prevalent autoimmune condition, with lung involvement being its most frequent extra-articular manifestation. Our study aims to investigate the contribution of hematological parameters to diagnosing lung involvement in patients with RA. Individuals with RA were divided into two groups according to lung involvement in thorax computed tomography. C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), neutrophil, lymphocyte, monocyte, platelet, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR) and systemic immune-inflammatory index (SII) were evaluated in all patients. Twenty-nine of the seventy-five RA patients were found to have lung involvement, and lung involvement was not observed in forty-six patients. CRP, ESR, and neutrophils were high in patients with lung involvement and a statistically notable distinction was observed. Lymphocyte count was low in patients with lung involvement and was statistically significant. NLR, NMO, and SII rates were high in patients with lung involvement and were statistically significant. It is observed that hematological parameters contribute to diagnosing RA lung involvement.
Ankilozan Spondilit Hastalarında Nöropatik Ağrı Sıklığı
Authors: Atik Seda , Şahin Özlem
Published: April 2024

Ankilozan Spondilit(AS) kronik inflamatuvar sık görülen bir romatolojik hastalıktır. Romatolojik hastalıklarda inflamatuvar ağrının yanı sıra nöropatik ağrının da arttığı bilinmektedir. Biz çalışmamızda klinik pratikte sıkça karşılaştığımız AS hastalarında nöropatik ağrı varlığını araştırmayı amaçladık. Çalışmaya 52 AS hastası dahil edildi. Çalışmaya dahil edilen kişilerin HLA-B27 genetik test sonucu, c-reaktif protein, eritrosit sedimentasyon hızı değerleri kaydedildi. Tüm katılımcılara nöropatik ağrıyı belirlemek için LANSS ağrı skalası, hastalık aktivitesini değerlendirmek için Bath Ankilozan Spondilit Hastalık Aktivite İndeksi(BASDAİ) uygulandı. Çalışmaya katılan bireylerin yaş ortalaması 42.57’di. LANSS ağrı skalası sonuçlarına göre bireylerin 24’ünde(%46.2) nöropatik ağrı tespit edildi. BASDAİ sonuçlarına göre hastaların %61.5’i aktif hastalığa sahipti. Aktif hastalık ile nöropatik ağrı arasında istatistiksel olarak anlamlı bir ilişki saptandı(p=0.001). AS hastalarında büyük oranda nöropatik ağrının kliniğe eşlik edebileceği sonucuna varıldı. Bu hastalarda nöropatik şikayetlerin ayrıntılı sorgulanmasının ve gerekirse tedavi edilmesinin hastaların yaşam kalitesine olumlu yönde katkı yapacağı ve bir kısmı çok da objektif olarak değerlendirilemeyen hastalık aktivite ölçeklerinin düzeylerinde azalma görülerek aşırı anti-inflamatuvar tedavinin de engellenebileceği kanaatindeyiz.
Women’s knowledge of the effectiveness of biostimulants and tissue fillers
Authors: Wojciechowska-Pelc Natalia , Rogóż Magdalena
Published: April 2024

Cosmetology and aesthetic medicine offer a wide range of non-invasive treatments to improve the appearance of the skin and delay the progressive ageing process. Over the past few years, preparations used to restore lost tissue volume and biostimulators have gained popularity. The study aimed to present the state of women’s knowledge regarding the effectiveness of biostimulants and tissue fillers. Treatments using the aforementioned preparations are widely popular, however, clients are often unaware of their effects and efficacy.
Lip augmentation with hyaluronic acid hydrogel cross-linked with polyethylene glycol diglycidyl ether (PEGDE) in two women with autoimmune disease. Case report
Authors: Mustafa Nisreen Osman
Published: April 2024

Lip augmentation has been one of the most rapidly growing aesthetic procedures since the late 1990s. The trend of lip rejuvenation and correction was popularised and continues to this day. This study aimed to present the results of lip augmentation using a 24 mg/ml hyaluronic acid hydrogel cross-linked with polyethylene glycol diglycidyl ether (PEGDE) supplemented with l-proline and glycine to reduce post-injection swelling. The article presents a retrospective study of two women following lip augmentation diagnosed with an autoimmune disease: one with systemic lupus erythematosus and the other with multiple sclerosis. The use of a PEGDE cross-linked hyaluronic acid-based filler gave highly satisfactory results. No adverse events were reported.
The Fiqh of Coronaviruses
Authors: Solihu Abdul Kabir Hussain
Published: April 2024

COVID-19, a disease caused by a novel coronavirus, is widely believed to have originated in animals. In the Islamic worldview, animals, including those suspected to be reservoirs of coronavirus or other zoonotic viruses, are divine creations, guided by divine command and sustained through divine provisions. Based on content analysis of relevant literature in environmental sciences, humanities and social sciences, I provide an Islamic religious understanding (fiqh) of certain ecological functions and ecosystem services that support life on earth but could also be harmful to humans. The objective of the study is to contribute to the discourse on biocentric environmental ethics from an Islamic perspective. The biocentric environmental ethics I advanced is framed on al-takāful al-bī’ī  (mutual guarantee among environmental components) and corroborated by the One Health approach to zoonotic diseases in which human health is intractably linked with the health of animals and ecosystems. The study concludes that the breakout of zoonotic diseases is often a result of the breakdown of ecological barriers precipitated by human actions.
Effect of Crude Oil Contamination on Microbial Community Structure and Urease Activity in Coastal Plain Sands of Uyo, Akwa Ibom State, Nigeria
Authors: U. A. Godwin , N. U. Inu
Published: April 2024

Petroleum pollution of soils is a major environmental problem. Soil microorganisms can decompose a significant fraction of petroleum hydrocarbons in soils. This research was conducted to investigate the effect of crude oil contamination on microbial community structure and Urease activity. This experiment was conducted from 2020 to 2021 at the Department of Soil Science and Land Resources Management, University of Uyo. The experiment was a pot experiment. Garden soil weighing 1.6kg was placed into five different plastic pots and the following quantities of crude oil dispensed into them: 0 (control), 4. 8, 16 and 24 ml representing 0, 0.25, 0.5, 1.0 and 1.5 percent pollution levels. This was repeated in triplicates giving a total of 15 pots and placed in a screen house. Soil samples were collected from each pot on the 2, 4, 6 and 8 weeks after contamination (WAC). Soil samples were analyzed for bacterial, fungal and population, and urease activity. The results revealed that bacterial cell density decreased by one log order of magnitude from 2.67 x 107 cfu/g to 9.13 x 106 cfu/g soil in week 8. At 0.25 percent population level bacterial cell decreased from 2.38 x 107 in (week 2) to 4.02 x 106 cfu/g soil (week 8). At 0.5 percent pollution level, bacterial cell density decreased from 2.37 x 107 (week 2) to 1.46 x 107 cfu/g soil (week 8). At 1.0 percent pollution level bacterial cell density decreased from 2.30 x 107 (week 2) to 9.56 x 106 cfu/g soil (week 8) and at 1.50 percent pollution level bacterial cell density decreased from 2.21 x 107 (week 2) to 1.22 x 107 cfu/g soil (week 4), and there after rose to 3.16 x 107 (week 6) and then decreased to 8.0 x 106 cfu/g soil (week 8). A total of 16 bacterial genera were identified the most abundance was Bacillus subtilis (23.53%) followed by Micrococcus albus (18.83%), and Bacillus cereus. Unlike bacteria, fungal cells are seen to increase rather than decrease. The unpolluted soils had fungal cells density increased from 1.8 x 106 cfu/g soil (week 2) to 6.3 x 106 cfu/g (week 8). 0.25 percent pollution level had 1.17 x 106 (week 2) to 6.0 x 106 cfu/g soil. At 0.5 percent pollution level fungal cells density increased from 1.10 x 106 cfu/g to 7.03 x 106 cfu/g (week 6), and a slight decrease (6.0 x 106 cfu/g soil) week 8 and in 1.0 percent pollution level it increases from 9.33 x 105 cfu/g to 9.06 x 106 cfu/g. At the 1.5 percent pollution, increased by one log order of magnitude was observed (from 1.13 x 105 (week 2) to 6.03 x 106 cfu/g soil week 8). In this study, 16 fungal genera were identified, the most abundance was candida sp 20% followed by Mucor muccedo, 16.97%, and Penicillium notatium 12.73% Urease activity in all the treatment was not affected significantly. To degrade crude oil pollution in the soil, fungi should be used prominently for better results.
Keywords: Crude Oil, Contamination, Microbial Community, Coastal Plain Sands.
A Study of Common Errors in Hypothesis Formulation and Testing among University Students in Social and Management Sciences
Authors: L. Yusuf , J. A. Otu , I. I. Apeh
Published: April 2024

Formulating and testing hypotheses have been major issues for students, especially in the field of social and management sciences. This study examines these issues. Content analysis was used whereby five (5) projects of undergraduate and postgraduate students were analysed to identify errors in hypothesis writing and testing. The study findings revealed that there are common errors such as inadequate representation of specific variables of the project topics and wrong use of statistical tools in testing hypotheses. The study recommended that students should spend ample time reading literature on research and hypothesis formulation and testing. In addition, supervisors should have adequate knowledge of formulating and testing hypotheses so as to guide those they supervise in following the acceptable principles in the field of social and management sciences.
“Ev”den Uzakta: Peyami Safa’nın Romanlarında Kültürel Yozlaşma, Tehlike, Tekinsizlik
Authors: Koçkaya Ayhan
Published: April 2024

Bu makalenin amacı Peyami Safa’nın \textit{Sözde Kızlar, Şimşek} ve \textit{Mahşer} gibi ilk dönem romanlarındaki merkezi temanın kültür olduğunu göstermektir. 19. yüzyıl Osmanlı romancıları için Osmanlı kültürünü muhafaza etmek onurlu bir hayat yaşamanın birincil şartıdır. Kimliğini koruyamayan karakter Batılılaşır, kısmen efemineleşir, savruk bir hayat sürer, Batı(lı) tarafından bile hor görülür ve iflâs eder. Yirminci yüzyılda, Peyami Safa’nın romanlarında ise yerli kültürün dışı tekinsizdir, sonu belli değildir hatta ölümcüldür. Kültürel olarak yozlaşan karakter son derece tehlikeli, hatta ölümcül olabilir veya bilinmeze doğru savrulup gider. Makalede gösterilmeye çalışıldığı üzere Peyami Safa’nın kültürel anlamda yozlaşmış karakterleri efemine bir züppeden çok daha karanlıktır.
Debating on Transport Corridors of Azerbaijan in the Context of Globalization
Authors: Dadaşlı Rahil , Valiyev Orkhan
Published: April 2024

This paper investigates the impact of globalization on transportation corridors in Azerbaijan, which are strategically located to serve as hubs for crossroads between north-south and east-west trade. The main hypothesis is that globalization has had a significant impact on transportation corridors in Azerbaijan, resulting in greater connectivity and trade flows within the region. The recent triumph over Armenia has resulted in significant changes in the region, enhancing Azerbaijan's reputation. Alongside the ongoing conflict in Ukraine and the imposition of sanctions on Russia and Iran, Azerbaijan has emerged as a secure passage between these influential powers. Furthermore, the rising demands for major international trade routes have created a pressing need for Azerbaijan to enhance its capabilities to effectively meet these growing requirements. According to the World Systems Theory, semi-periphery countries play the role of bridges between core and periphery states. Globalization has led to Azerbaijan's integration into the global economic system as a semi-peripheral country. This has resulted in increased trade and investment, which in turn has led to the development of transportation infrastructure and the expansion of transportation networks.
Hentbolda Fair Play ve Fair Play Eğitimi
Authors: Özen Atahan , Şahin Mustafa Yaşar
Published: April 2024

Bu çalışma sporun bireysel büyümeye ve toplumsal refaha katkıda bulunma potansiyelini vurgulayarak, fair play kavramının erken yaşlardan itibaren hentbol aracılığıyla aşılanmasının önemine odaklanmaktadır. Hentbolun küçük yaşlardan eğitimine odaklanarak, onu sadece rekabetçi bir spor değil, aynı zamanda etik ve fair play için bir platform olarak tasvir etmektedir. Özellikle mini hentbol gibi temel seviyelerde kullanılan ilerleyici ceza sisteminin, genç oyuncular arasında fair play değerlerinin anlaşılmasını ve benimsenmesini vurgulama mekanizması olarak açıklanmaktadır. Kuralları ihlal etmenin sert bir ceza ile değil, rehberlik ve teşvikle karşılandığı bu yaklaşım, sporun eğitimsel yönünü pekiştirmektedir. Ayrıca, hentbolun okullardaki beden eğitimi programlarındaki rolüne uzanarak, genç nesle ulaşma ve onları olumlu bir şekilde etkileme potansiyelini vurgulamaktadır. Uluslararası Hentbol Federasyonu (IHF) ve Avrupa Hentbol Federasyonu (EHF), beden eğitimi öğretmenleri ve antrenörler için kapsamlı eğitim programlarını destekleyerek, hentbolun temel prensiplerini ve fair play anlayışını çeşitli öğrenci kitlesine yayma çabalarını takdir etmektedir. Sonuç olarak, makale, bu hentbol eğitim programlarının, genç bireylerin karakter gelişimine, sporculuk anlayışına ve sosyal becerilere katkı sağlama potansiyeline sahip olduğunu öne sürmektedir. Hentbolu sadece bir spor dalı değil, aynı zamanda karakter eğitimi ve etik değerlerin benimsenmesi için bir araç olarak gören bu programlar, spor aracılığıyla bireyleri geliştirmeye yönelik daha geniş bir misyona uyumlu bir şekilde faaliyet göstermektedir.
Veteran Atletlerin Yeme Bağımlılığı Eğilimlerinin Araştırılması
Authors: Tekin Recep , Harmancı Halit , Kayhan Mert , Özdilek Çetin
Published: April 2024

Son yıllarda rekreasyonel amaçlı spor yapan ve yarışma düzeyinde atletizm sporu ile ilgilenen erişkin bireylerin sayısında ciddi artış meydana gelmiştir. Bu çalışmanın amacı veteran atletlerin yeme bağımlılığı eğilimlerinin belirlenmesi ve aşırı yeme isteği uyandıran gıdaların tespit edilmesidir. Çalışmaya, yaşları 41.16 ± 7.11 arasında değişen 105 kadın %40.5 ve 154 erkek %59.5 toplam 259 veteran atlet gönüllü olarak katılmıştır. Araştırmanın amacına göre veteran atletlerin yeme bağımlılıklarının belirlemek için Gearhardt ve arkadaşları tarafından 2009’da geliştirilen, geçerlilik ve güvenilirlik çalışması 2012 yılında Bayraktar ve ark. tarafından yapılmış olan Yale Yeme Bağımlılığı Ölçeği kullanılmıştır. Araştırmadan elde edilen bulguların değerlendirilmesinde IBM SPSS istatistik 26 programı kullanılmıştır. Bulguların değerlendirilmesi için tanımlayıcı istatistikler, frekans analizi, bağımsız gruplar için t testi ve korelasyon analizlerinden yararlanılmıştır. Sonuçlar 0.05 anlamlılık düzeyinde değerlendirilmiştir. Bu çalışmaya katılan 259 kişiden 191 tanesi yeme bağımlılığı tanısını karşılamazken, 68 kişide yeme bağımlılığı görülmüştür. Ayrıca ölçekte yer alan aşırı yeme isteği uyandırdığı için aşırı yemekten dolayı sorun yaşanan gıdalar listesinde ilk sırada %49.8 ile çikolata/gofret olurken, %45.1 cips ve %37.1 ile kola/gazoz takip etmiştir. Diğer yandan, ekmek (%18.5) ve peynir (%16.6) gibi daha temel gıda maddeleri de bazı bireyler için aşırı yeme isteği uyandırabilir, ancak bu oranlar işlenmiş gıdalara kıyasla daha düşüktür. Ayrıca, sağlıklı olarak kabul edilen gıdalar (örneğin, havuç %8.5, marul %6.5, elma %12.0) arasında aşırı yeme isteği uyandırma oranlarının oldukça düşük olduğu görülmektedir. Eğitim durumu ile ilgili bulgular, özellikle ilköğretim ve ortaöğretim düzeyindeki bireylerin lisans ve üzeri eğitim seviyesine sahip bireylere göre anlamlı derecede yüksek yeme bağımlılığı puanlarına sahip olduğunu göstermektedir (p
Serbest Zaman Aktivitelerine Katılan Yaşlı Bireylerin Başarılı Yaşlanmaya İlişkin Görüşlerinin İncelenmesi
Authors: Koçak Funda , Parlakyıldız Sinem , Gürbüz Bülent
Published: April 2024

Başarılı yaşlanma gerontolojide yaşlanmanın kalitesinin belirlenmesinde önemli bir kavram olmakla birlikte yaşam boyunca işlevselliğin artırılmasına odaklanan çok yönlü bir yaklaşımdır. Başarılı yaşlanma kavramı yaşamdaki sağlıklı ve fonksiyonel yılların sayısının nasıl artırılabileceği konusuna odaklanmaktadır. Bu çalışmanın amacı serbest zaman aktivitelerine katılan yetişkinlerin başarılı yaşlanma düzeylerinin incelenmesidir. Bu kapsamda araştırmaya 157 erkek (Ortyaş=58.04±9.38) ve 145 kadın (Ortyaş=55.54±8.58) olmak üzere toplamda 302 birey gönüllü olarak katılmıştır. Çalışmada veri toplama aracı olarak Türkçe’ye adaptasyonu Hazer ve Özsungur (2017) tarafından yapılan “Başarılı Yaşlanma Ölçeği (BYÖ)” kullanılmıştır. Çok değişkenli test için ön koşullar test edildikten sonra, katılımcıların ortalama puanları arasındaki farklılıkları çeşitli değişkenlere göre test etmek için MANOVA testi kullanılmıştır. Analiz sonuçları cinsiyet, eğitim durumu, serbest zaman aktivitesine katılma durumu değişkenlerinin BYÖ'nün her bir alt boyutu ve ölçeğin toplam puanı üzerindeki temel etkisinin anlamlı olduğunu göstermiştir. Buna göre erkek katılımcılara göre kadın katılımcıların BYÖ puanları daha yüksektir. İlköğretim mezunu katılımcıların ortalama puanları ise lise ve üniversite mezunlarına göre daha düşüktür. Ayrıca serbest zaman aktivitesine katılan katılımcıların ortalama puanları düzenli aktiviteye katılmayan katılımcılara göre daha yüksektir. Aktivitelere katılma şekli değişkeninin BYÖ’nün “sorunlarla mücadele etme” boyutu ve ölçeğin toplam puanı üzerindeki temel etkisinin anlamlı olduğu görülmüştür. Aktivitelere grup halinde katılan bireylerin BYÖ ortalama puanları bireysel olarak katılanlara göre daha yüksektir. Sonuç olarak, grup katılımı gösterilen serbest zaman aktivitelerinin başarılı yaşlanma üzerinde pozitif anlamlı fark yarattığı belirlenmiştir. Dolayısıyla yetişkinlerin serbest zaman aktivitelerine grup halinde katılmaları konusunda yönlendirilmesi başarılı yaşlanmaya katkı sağlayabilmek amacıyla önerilebilir. Bu araştırmadan elde edilen sonuçların yerel yönetimler ve Aile-Sosyal Politikalar Bakanlığı gibi politika geliştiriciler tarafından kullanılarak yaşlıların serbest zaman aktiviteleriyle yoluyla güçlendirilmesine katkı sağlayacağı düşünülmektedir. Yaşlılık döneminde psikolojik ve fiziksel sağlık açısından önemli olan serbest zaman aktivitelerine katılımın halk sağlığı politikalarının oluşturulmasına katkı sağlayacağı söylenebilir.
Pressure ulcer in intensive care, Still?
Authors: Uzun Lütfiye Nur , Hançer Tok Hümeyra
Published: April 2024

Objectives: The aim of this study was to determine the prevalence of pressure ulcers, alongside pressure ulcer risks, sites, stages and risk factors in patients treated in tertiary intensive care units. Design : This study had a retrospective-descriptive design. The population of this study consisted of N=424 patients followed up in the tertiary intensive care unit of a state hospital . An informational form and Braden Scale for Predicting Pressure Ulcer Risk were used as data collection tools. Means±standard deviation, numbers, percentages, and Kruskal-Wallis, Mann-Whitney U and Spearman's rho tests were used to analyze the data. Results : In this patient population, the total prevalence of pressure ulcers was 35.4% (n=150), and the prevalence of hospital-acquired pressure ulcers was 12.9% (n=55). All in all, 49.3% of patients had stage II pressure ulcers. The most common site of pressure ulcers was the sacrococcygeal region (65.3%). The mean Braden Scale for Predicting Pressure Ulcer Risk score was 10.56±1.6.Conclusion : One-third of the general patient population had pressure ulcers and most pressure ulcers were stage II. Pressure ulcers most common in the sacrococcygeal region. The patients in this study were considered at risk for pressure ulcers. Patients treated in the intensive care unit still suffer from pressure ulcers. Although this condition is known and has been researched many times, the majority of intensive care patients still have pressure ulcers. Therefore, this study is important in that it includes current data and refocuses attention on pressure ulcers
SOME PROBLEMATIC ISSUES OF PERFORMING NOTARIAL ACTIONS WITH THE PARTICIPATION OF CITIZENS IN RESPECT OF WHOM BANKRUPTCY PROCEEDINGS HAVE BEEN INITIATED
Authors:   Kuban State University, LAGODINA E.I.
Published: April 2024

This article was prepared on the basis of the report and conclusions of a scientific and practical discussion held by the Federal Notary Chamber on November 22, 2023 in the round table format “Bankruptcy Issues in Notarial Practice”. The author examines some problematic issues that notaries en counter when preparing documents for individuals undergoing bankruptcy proceedings, and gives practical recommendations. Having extensive practical experience in preparing documents on this issue, the author comes to the conclusion about a conflict of laws and makes proposals for improving legislation.
REPRESENTATION IN BANKRUPTCY PROCEEDINGS (ON MATERIALS OF COURT PRACTICE)
Authors:   V.F. Yakovlev Ural State Law University, MASHOVETS A.O. , SHCHETNIKOVA N.YU. ,   Chamber of Notaries of the Sverdlovsk Region
Published: April 2024

The article deals with the issues arising when notaries certify powers of attorney in bankruptcy proceedings on behalf of financial managers and citizens in respect of whom bankruptcy proceedings have been introduced. The attention of law enforcers to the limitations provided by the current legislation in the certification of these powers of attorney is emphasized. The problem of termination of validity of the power of attorney at introduction of bankruptcy procedure in respect of the citizen is highlighted.
Computational support for bioethical decision-making in palliative care
Authors: Alcântara Fabíola Alves , Siqueira-Batista Rodrigo , Silva Eugênio , Dos Santos Roberta Nascimento de Oliveira Lemos , Ladeira Talita Leite , Carvalho Daniela Ferraz Frauches , Furtado Carolina de Souza
Published: April 2024

Palliative care advocates comprehensive care and requires a specialized multidisciplinary team. Respiratory symptoms are frequent and non-invasive ventilation is a good resource, but its use is very controversial in palliative care and it is common for physiotherapists to differ as to its indication. Therefore, this work proposes the construction of computational models based on machine learning techniques, which can be used as a resource to support decision making in palliative care. For the construction of the models, the Bio-ORACLE software was used, which offers three different techniques for the construction of decision support models in situations of bioethical conflict. The data used in the construction of the models were obtained from decisions taken by five bioethicists. The results show that Bio-ORACLE can be an important ally to support more assertive decision-making in palliative care.
Клинические испытания препаратов пролонгированного действия и супрамолекулярного комплекса
Authors: Енгашева Екатерина
Published: April 2024

Testing of ivermectin-based drugs Iverlong 1 and Iverlong 2, with various prolongators for helminthiases and arachnoentomoses, has demonstrated the efficacy of 95 to 100%. The effective drug duration was 75 days. Clinical testing of the supramolecular complex Niclomec has demonstrated 100% efficacy in laboratory animals infected with trichinella and cestodes. The efficacy was 97 to 100% in sheep spontaneously infected with digestive-tract strongyles and moniezia.
Caracteristica microbiocenozei cecumului și crotinelor dure ale iepurelui de casă la infestarea cu Passalurus ambiguus
Authors: Caraman Mariana , Efteniuc Iulia , Moscalic Roman
Published: April 2024

The paper presents the results of the research on influence of invasion with Passalurus ambiguus on the microbicocytosis of cecum contents and rough crotins at domestic rabbits. As a result of the research it was found that in the invasion with Passalurus ambiguus the amount of beneficial microorganisms in cecum diminishes and in rough crotins increase the amount of fungi.
Amintiri de pe calea parcursă in ştiinţa parazitologică
Authors: Castravet Ion
Published: April 2024

The article text presents an essay (a short history) on the studies and original scientific research of many years performed by the author and on the data accumulated throughout his career in the science, on the basis of which Theory of parasitary processes has been developed that has become a scientific methodology which is valid to be applied in practice of all general research on parasitology as well as in the general biological and general ecological research
Eficacitatea produsului Parakillged in combaterea infestațiilor cu ectoparaziți la pisici și caini
Authors: Enciu Valeriu , Tomita Irina , Matveev Alina , Buza Vasile , Utchina Nadejda
Published: April 2024

Dogs and cats are more infected with ticks, fleas and lice. These infections cause irritation, skin wounds, dermatitis, loss of blood, pruritus, papulo-pustular eruptions, anemia, weakness, and so on. The said mites may inoculate and deliver pathogens such as viruses, rickets, bacteria and protozoa that may cause various diseases or may serve as intermediate hosts for some canine tapeworm species. Fipronil is actively used as a drug in combating of ectoparasites. The company Euro Prame Farmaceuticals LLC, Chisinau, Republic of Moldova has developed, tested and registered the Parakillged product (fipronil 200 mg/ml). Our researches have shown that the Parakillged veterinary product, external antiparasitic suspension has a high efficiency (98.6-100%). Drop application mode of the preparation greatly reduces physical efforts, there is no need for special equipment and does not require aid. The results obtained by us are in line with the results of previously published researches on the efficacy of preparations based on fipronil and used to combat tick, flea and lice populations.
Analiza particulartăților biometrice la specia Rana ridibunda Pallas, 1771 in condițiile Republicii Moldova
Authors: Gherasim Elena
Published: April 2024

This article reflects the practical analysis of the morphological aspects and sex variations of body proportions have been studied in population of the marsh (Rana ridibunda, Pall., 1771) frogs in the Republic of Moldova. It has been evaluated 15 biometric parameters and 9 index parameters of 30 specimens of the marsh frog. It has been established, that not only degree, but also a character of sex difference changes with age according to body proportions.
Exploring Advanced Techniques in Multilevel Fusion Score Level for Enhanced Data Integration in Complex Systems
Authors:   Electrical engineering, Universitas Negeri Surabaya, Indonesia, Tri Tri ,   Computer science and Engineering, G Pulla Reddy Engineering College, India,   College of Medical Techniques, Al-Farahidi University, Baghdad, Iraq,   Centre for Interdisciplinary Research in Business and Technology, Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India,   Asst.Professor Computer Science Department College Sadabai Raisoni Women's College, Nagpur, Maharashtra, India,   Assistant professor College name: Rajarambapu Institute of Technology, Islampur, ( An Autonomous Institute Affiliated to shivaji University, Kolhapur), India, Kumar B. Santhosh , Sameen Aws Zuhair , Singh Takveer , Pimple Suruchi , Patil Swati M.
Published: April 2024

We have discovered five novel strategies to enhance data fusion in complex systems. This page provides a comprehensive explanation of these five methodologies. Data may be combined with a list. Examples of techniques include entropy-based data selection and parameter optimization for data fusion. This technique effectively resolves all problems related to merging records. Accurate, rapid, and easily expandable. Ablation studies assess the effectiveness of various techniques. Every process is crucial; omitting anyone would adversely affect the mix. This approach may integrate data from several sources to guarantee accuracy and utility. This facilitates the use of intricate technologies, hence enhancing data integration. The study promotes further inquiry and implementation. These results indicate that using this method might enhance the process of combining data.
An efficient Analysis of the Fusion of Statistical-Centred Clustering and Machine Learning for WSN Energy Efficiency
Authors:   Indian Institute of Technology, Patna, India, Deepak Deepak ,   Department of IT, College of Computing and Information Sciences, University of Technology and Applied Sciences, Shinas campus, Oman,   Professor, Department of Computer Science  Engineering, Guru Nanak Instructions Technical Campus (Autonomous), Ibrahimpatnam, Ranga Reddy district, Hyderabad - 501506, Telagana State, India,   Assistant Professor, Department of, C.S. E., B. P. Mandal College of Engineering, Madhepura, Bihar, India,   Associate Professor (Research), Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur-522302, Andhra Pradesh, India,   Professor, Dept.of Artificial Intelligence and Data Science, PES Modern College of Engineering,   Shivajinagar, Pune-411005, India, V. Bala Dhandayuthapani. , Subbalakshmi C. , Singh Murlidhar Prasad , Shukla Prashant Kumar , Pandit Shraddha V.
Published: April 2024

Recently, wireless sensor networks on several challenging topics have piqued researchers’ attention. Maximising a network's lifetime requires just the right combination of cluster size and number of nodes. Data transmission from nodes to cluster leaders is energy intensive, even for a modest number of clusters. If there are several clusters, many leaders will be chosen, and many nodes will rely on long-distance transmission to communicate with the home base. Therefore, in order to maximise efficiency, it is necessary to strike a balance between these two factors. WSN's major challenge is improving its energy efficiency. This is because their energy consumption defines their lifespan, and it is difficult, if not impossible, to recharge their batteries. Therefore, it is crucial to develop algorithms that consume as little energy as possible in order to maximise the network's potential. The perfect clusters are essential for the longevity of the network. Therefore, an algorithm called statistical centre energy efficient clustering approach (SEECA) is presented to increase the network's lifetime while decreasing its energy consumption. The experimental findings show that the proposed methodology SCEECA outperforms the LEACH method by a wide margin, with gains of 32% in Residual energy, 16% in Network Lifetime, and 12% in Throughput.
Multi-Level Fusion for Enhanced Host-based Malware Detection in ICT-Enabled Smart Cities
Authors:   Civil Engineering Department, University of Technology, Baghdad, Iraq, Nur Nur ,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia,   Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Melaka, Malaysia; Faculty of Computer and Engineering, Department of Information System, Universitas Alma Ata, Yogyakarta, Indonesia, Kamalrudin Massila , Dzakiyullah Nur Rachman
Published: April 2024

In smart cities, the widespread adoption of Information and Communication Technologies (ICTs) presents both opportunities and challenges for security. While ICTs enable increased productivity, data sharing, and improved citizen services, they also create new vulnerabilities for malicious actors to exploit. This necessitates robust host-based security solutions to protect critical infrastructure and data. This paper proposes a novel multi-level fusion approach for enhanced host-based malware detection in ICT-enabled smart cities. By leveraging diverse data sources and employing advanced fusion techniques, our approach achieves significant improvements in malware detection accuracy, network evaluation, and security analysis compared to existing methods. Specifically, our proposed approach demonstrates a 72.1% malware detection rate across various attack scenarios, 69.7% accuracy in host network evaluation, 82.8% reduction in security analysis error, 75.4% accuracy in network probability detection, and an overall accuracy of 67.2%. These results showcase the potential of multi-level fusion for strengthening host-based security in smart cities. This approach offers several advantages over traditional host-based security solutions. Firstly, it provides more comprehensive threat detection by utilizing multiple data sources. Secondly, it reduces the burden on IT administrators by automating security analysis and decision-making. Finally, it enables continuous improvement through adaptive learning and feedback mechanisms. Overall, our multi-level fusion approach represents a promising advancement in host-based security for ICT-enabled smart cities. It offers significant improvements in accuracy and efficiency, paving the way for a more secure and resilient urban environment.
Artificial Intelligence based Computer Vision Analysis for Smart Education Interactive Visualization
Authors:   University of Baghdad, College of Education for Human Science Ibn Rushed, Baghdad, Iraq, Asma Asma ,   Information Institute for Postgraduate Student, Iraqi Commission for Computers and Informatics, Baghdad, Iraq,   Supervision and Scientific Evaluation Apparatus, Ministry of Higher Education and Scientific Research, Baghdad, Iraq,   Faculty of Information  Communication Technology, Universiti Teknikal Malaysia Melaka, 75450 Durian Tunggal, Melaka, Mohammed Ruwaida , Ahmed Ahmed Luay , Jaber Mustafa Musa
Published: April 2024

The pedagogical of computer programming education is being enriched and improved through the interactive learning material. Visualization, modeling, and internet platforms for developing interactive visual skills are only a few examples of the types of specialized learning material currently accessible for use in a wide range of computing classes. There are some specific challenges related to the implementation of active learning, such as insufficient time for class, an increase in preparation, implementing students' engagement in extensive courses, and a lack of necessary materials, technology, or supplies. Computer vision is a subfield of AI that allows machines to learn from visual data (such as photos, movies, and other digital media) and then act on or offer solutions to problems. To enhance the efficiency of intelligent interactive learning and practice, this article incorporates a visual machine vision analytical framework under the guidance of Artificial intelligence to create a Machine-Vision-based Smart Education Assistance System (MV-SEAS). Visualization speeds up and simplifies regular communication by consolidating several forms of information into a single visual representation. This study discusses how visualizing information is crucial for students' initial knowledge acquisition and continued education and development. The seamless amalgamation of automated innovative education analyses and interactive visualizations is emphasized. The paper aimed to identify and characterize the technical challenges mentioned above must be surmounted to make it simpler for computer educators to discover, adopt, and tailor intelligent learning materials. The study concludes by proposing an MV-SEAS for storing, integrating, and disseminating smart educational data. It investigates whether it can be done using existing standards and guidelines. In the end, this essay combines trials to prove the effectiveness of the proposed smart education method. The findings demonstrate that interactive visualization of AI-assisted smart education may effectively combine subject experts' information with educators' experience to produce more powerful and easily intelligible machine intelligence.
Deep Learning based Mango Leaf Disease Detection for Classifying and Evaluating Mango Leaf Diseases
Authors:   Department of CSE, GITAM University, Rushikonda, Vishakapatnam, Andhra Pradesh, India, V. V. ,   Department of CSE, GITAM University, Rushikonda, Vishakapatnam, Andhra Pradesh, India, Kumar N. Suresh
Published: April 2024

Mango is one of the important commercial crop in the world. It provides nutritional and financial support to human life. Different diseases of leaves impact the health of the mango crops. The early and proper pest control measurement can prevent large output losses. We propose an automated inspection and classification of disease-affected mango leaves that uses Deep Learning (DL) model. Our DL model-empowered Convolutional Neural Network (CNN) architecture is trained with an extensive image dataset of mango leaves portraying a variety of disease indications at both low and high-resolution images. The objective is to be able to identify accurately the disease type on mango leaves including Bacterial Canker, Powdery mildew, Anthracnose, Gall midge, and Sooty mould. Crops can develop gradual immunity with reasonable pest control and can purposively shaped them against constantly evolving environment. The proposed system will be effective and it will definitely prove a facile system to be used as a key component of a novel precision agriculture system as will be presented in our future work. The performance of the proposed system is augmented through the utilization of transfer learning techniques and pre-trained models, including VGG-16, MobileNet, Googlenet, YoloV8, and EfficientNet. These Deep Learning models not only offer an accurate and efficient approach for classifying diseases in mango leaves but also provide valuable insights into the severity of the identified diseases. Utilizing this information to support farmers and agricultural professionals in making informed decisions pertaining to disease management and treatment strategies can significantly contribute to the sustainable growth of mango crops. The development and implementation of such automated technologies have the potential to revolutionize the monitoring of mango crop health, enabling early disease detection and enhancing crop yields.
Optimizing IoT Wireless Sensor Networks: A Comparative Analysis of Particle Swarm Optimization (PSO) and Genetic Algorithms (GA)
Authors:   College of computer science lnformation  technology , Al-Qadisiyah University, Iraq, Jumana Jumana ,   College of Education for Girls / Al-Qadisiyah University, Iraq, Al-Zubaidi Hala A. Al
Published: April 2024

The IoT can be defined as a system of various types of computing and digital devices, machines, objects, animals, and humans that are connected through networks to send data without the need for direct person-to-person or computer-to-person interfaces. Every component in this structure is given a unique identity. While under the domain of IoT, WSN serves as a wireless sensor network that does not have an established infrastructure but consists of many wireless sensors for surveillance over systems, the environment, and the physical world. Because of its versatile usage like surveillance and environmental monitoring, Wireless Sensor Networks (WSNs) are vital in many applications. The performance of these networks is largely dependent on how sensor nodes are distributed across the area to provide good coverage and connectivity. In this paper, we propose a new method for node placement optimization in WSNs, which tries to solve the problem of coverage holes at the stage of initial deployment. Genetic Algorithms (GA) and Particle Swarm Optimization (PSO) are implemented using MATLAB to deal with the problem's complex and non-linear nature. These algorithms help find optimal node positions, thus improving coverage while ensuring no coverage gaps occur. A way to achieve this is through iterations, which involve fitness evaluation, selection of promising solutions, and genetic operators like crossover and mutation or position updates for PSO to investigate and improve the final solution. The simulation results mentioned in this paper demonstrate the usefulness of those methods, displaying major increases in coverage and the removal of all gaps that could appear in the initial deployment. This research contributes to the field of wireless sensor network optimization, specifically addressing coverage issues using GA and PSO algorithms …
On Neutrosophic Crisp Grill Topological Spaces
Authors:   Department Of Mathematics, College of Education for women, Tikrit University, Iraq, Elaf Elaf ,   Department of Mathematics, College of Education for Pure Science, University of Babylon, Hillah, Iraq., AL-Swidi L. A. A. AL
Published: April 2024

Among the important and ancient mathematical concepts are the concepts of grill, the local function, and the knowledge of using grill in conjunction with topological spaces, which have gained wide scope in the natural sciences and elsewhere. The main idea here is to development these concepts in conjunction with neutrosophic crisp sets, and on the other hand to highlight their important and influential properties and the relationships that link them to each other.