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The Role of Resolvin D1 in the Differential Diagnosis of Pancreatic Ductal Adenocarcinoma and Acute Pancreatitis: A Case-Control Study
Get PDFBackground and Objectives: Pancreatic ductal adenocarcinoma (PDAC) is an aggressive malignancy characterized by a dense desmoplastic stroma with a poor prognosis. The aim of this study was to investigate whether resolvin (Rv) D1 could be used as a potential serum biomarker to discriminate between PDAC and acute pancreatitis (AP). Materials and Methods: In total, 67 patients were enrolled in the present study, including 21 patients with resectable PDAC, 23 patients with metastatic PDAC, 23 patients with AP, and a control group of 21 healthy individuals. RvD1 levels of PDAC patients were also analyzed through ELISA at the 6th postoperative month. Results: The mean RvD1 was 1169.24 +/- 285.99 in the control group, 885.04 +/- 134.25 in the AP group, 728.57 +/- 140.1 in the PDAC group, and 670.09 +/- 105.6 in the metastatic pancreatic cancer (PC) group. RvD1 was significantly lower in PDAC and metastatic PC groups compared to controls and patients with AP, while it was significantly lower in patients with AP compared to the control groups. Postoperative RvD1 levels of patients with PDAC were significantly higher than preoperative levels (728.57 +/- 140.1 vs. 885.43 +/- 275.57). In the ROC analysis, when the cut-off value for serum RvD1 level was 825 ng/L, it was found to predict PDAC from metastatic PC with 84.1% sensitivity and 81.8% specificity. Conclusions: Serum RvD1 is a new biomarker for the detection of PDAC. Serum RvD1 may provide an important diagnostic contribution in clinical practice to predict PDAC. Serum RvD1 levels were found to be predictive with high sensitivity and specificity in differentiating PDAC from metastatic PC. However, it was concluded that serum RvD1 levels cannot be used as a detection marker to differentiate PDAC from AP. RvD1 could be a representative agent of a new class of drugs to be proposed for innovative treatment of AP and PDAC. Our future study will investigate whether RvD1 can be a marker to differentiate from chronic pancreatitis
Isolated and combined effects of steam inhalation via the voiced high-frequency oscillation technique after a short vocal loading task in healthy female voices
Get PDFObjectiveThe first aim of the study, to determine the effects of a vocal loading task (VLT) involving reading a passage at a level of 80-85 dBA(30 cm) for 10 minute (min) on voice. The second aim is to identify the effects of three different therapeutic strategies performed immediately after the VLT on voice.MethodThe sample of the study included 32 normophonic female participants. The research procedure involved three different therapeutic strategies: sterile water nebulization, voiced oral high-frequency oscillation (VOHFO) and the combined application following three different vocal loading tasks performed for 10 min. The assessments were made using acoustic, electroglottographic, perceived vocal effort (Borg CR-10) measurement methods.ResultsThe 10 min VLT did not significantly affect the acoustic (except for fundamental frequency-Fo) or electroglottographic parameters of the habitual voice, while it led to an increased level of perceived vocal effort scores and Fo values. Perturbation and perceptual effort decreased after all three therapeutic interventions, but Fo remained higher than baseline; EGG-contact quotient (CQ) decreased after VOHFO-inclusive therapeutic interventions and perceptual effort level did not decrease after nebulization but decreased after VOHFO-inclusive interventions.ConclusionThe 10 min VLT, which was of a short duration, led to an increased level of perceived vocal effort scores and Fo values. In addition, all therapeutic interventions were found to decrease perturbation and perceived vocal effort. However, according to the EGG-CQ data, the addition of therapeutic factors such as VOHFO to superficial vocal fold hydration procedures may further enhance their beneficial effects on the voice
Fabrication and characterization of silver nanowire-coated porous alginate wet-laid webs for wound dressing applications
No full textWound care presents an imposed financial burden for healthcare organizations, prompting the need for novel and cost-efficient dressings. In this study, we address this challenge by introducing a novel approach to fabricate antibacterial alginate-based fibrous materials using a combination of wet spinning and the wet-laying method, which offer advantages including structural and functional properties such as breathability, nontoxicity, biocompatibility, and cost-effectiveness. The wet spinning method was employed to develop porous and non-porous Ca-alginate fibers with diameters of 100 +/- 4.3 nm and 132 +/- 1.2 nm, respectively. Porous Ca-alginate fibers were fabricated with the utilization of polyvinyl alcohol (PVA) as a pore-forming polymer. Obtained fibers were cut into 1-2 cm lengths to fabricate wet-laid webs. Finally, silver nanowires (AgNWs) were synthesized and then coated on the wet-laid webs at concentrations of 1 % and 3 % to impart antibacterial properties. FTIR analyses confirmed the successful removal of PVA, and swelling tests demonstrated that both porous and non-porous samples exhibit high swelling ability. The porous wet-laid materials swelled 12 times their initial weight, while this amount was 5 times their initial weight in non-porous wet-laid materials at a 60-min timepiece. SEM analysis verified fiber integrity, and MTT assays showed excellent cytocompatibility. Additionally, in vitro tests highlighted the scaffold's potential to support cell attachment and proliferation. The results demonstrate that wet-laid alginate-based fibrous dressings have low cytotoxicity, superior swelling capacity, antibacterial activity, and biocompatibility. This study underscores the potential of the silver nanowires-coated wet-laid webs as a novel and effective approach for producing multifunctional wound care materials
Assessment of carbon trading within blockchain and subfield of artificial intelligence: a review
No full textHow can blockchain and AI revolutionise carbon trading? This article explores this question by reviewing the literature on blockchain's potential to create smart contracts for carbon trading. It also illustrates step-by-step guidance to write a smart contract that covers the essential aspects of the market. It is suggested that blockchain technology can address some shortcomings of the current system while usage of the data provided by ML makes contract actually smart
Securing and optimizing IoT offloading with blockchain and deep reinforcement learning in multi-user environments
Get PDFThe growth of the Internet of Things (IoT)-related innovations has resulted in the invention of numerous IoT objects. However, the resource limitations of individual items remain a challenge that can be overcome through offloading. A key limitation of previous research is the absence of an integrated offloading framework that can operate securely in offline/online environments. The security and calculated online/offline offloading issues in a multi-user IoT-fog-cloud system with blockchain are investigated in this article at the same time. First, we provide a reliable access control system utilizing blockchain to enhance offloading security. This technique can guard cloud resources against unauthorized offloading practices. Next, we define a computation offloading issue by optimizing the offloading decisions, allocating computing resources and radio bandwidth, and intelligent contract use to address the computation management of authorized mobile devices. This optimization challenge focuses on the long-term system costs of latency, energy use, and intelligent contract charge among all mobile devices. We create a new Deep Reinforcement Learning (DRL) technique employing a double-dueling Q-network to address the suggested offloading problem. We provide a Markov Decision Process (MDP)-based DRL solution to the IoT offloading-enabled blockchain dilemma. The supposed system works in both online and offline settings, and when operating online, we use the Post Decision State (PDS) method. The contributions of this work include a new integrated offloading framework that can operate in offline/online environments while preserving security and a novel approach that incorporates fog platforms into IoT blockchain-enabled networks for improved system efficiency. Our method outperforms four benchmarks in cost by 5.1%, computational overhead by 4.1%, energy use by 3.3%, task failure rate by 3.6%, and latency by 3.9% on average
Sağlık Çalışanlarının İş Yaşam Dengesi, Sessiz İstifa ve Tükenmişlik Düzeylerinin Araştırılması
Get PDFGünümüzde iş yerinde çalışan ilişkileri, salgın sonrası değişen yaşam biçimleri ile birlikte yönetilmesi daha karmaşık bir hale gelmiştir. Çalışanların iş yaşam
dengesi sağlamalarında iş dışı unsurların etkisi artarken, sağlık çalışanlarının yaşam doyumu, tükenmişlik ve sessiz istifa düzeyleri önemli bir araştırma
konusu haline gelmiştir. Bu çalışma, vardiyalı ve uzun çalışma saatlerine sahip sağlık çalışanlarının iş yaşam dengesi, tükenmişlik ve sessiz istifa eğilimlerini
incelemeyi amaçlamaktadır. Araştırma, nicel yöntemler kullanılarak tasarlanmış ve veriler anket yöntemiyle toplanmıştır. Kavramsal çerçeveye birinci ve
ikinci bölümlerde, araştırma modeli ve bulgulara ise son bölümde yer verilmiştir. Araştırma verileri SPSS kullanılarak analiz edilmiş ve ölçeklerden elde edilen
puan ortalamaları korelasyon analiziyle değerlendirilmiştir. Sonuçlar, iş yaşam dengesi ile tükenmişlik ve sessiz istifa arasında anlamlı ilişkiler olduğunu
göstermiştir. İş yaşam dengesi, tükenmişlik ve sessiz istifa arasındaki ilişkiyi zayıflatan bir faktör olarak ortaya çıkmıştır. İş yaşam dengesi yüksek olan bireylerin, tükenmişlik yaşadıklarında bile sessiz istifa eğilimlerinin daha düşük olduğu saptanmıştır. Bu bulgu, iş yaşam dengesinin çalışanların işten kopma riskini
azaltmada kritik bir tampon mekanizması olduğunu göstermektedir. Tükenmişliğin sessiz istifa üzerindeki etkisinin şiddetinin, bireylerin iş yaşam dengesi
düzeyine bağlı olarak değiştiği tespit edilmiştir. Bu çalışma, iş yaşam dengesi odaklı politikaların tükenmişlik düzeylerini azaltarak sessiz istifa eğilimlerini
düşürebileceğini vurgulamaktadır.In recent years, workplace relationships have become more complex to manage, especially with the changing lifestyles brought about by the post-pandemic
era. As external factors increasingly influence employees’ ability to maintain work-life balance, the levels of life satisfaction, burnout, and quiet quitting
among healthcare workers have become significant topics of research. This study aims to examine the work-life balance, burnout, and quiet quitting tendencies of healthcare workers with long and irregular working hours. The research was designed using quantitative methods, and data were collected through
surveys. The conceptual framework is presented in the first and second sections, while the research model and findings are discussed in the final section.
The data were analyzed using SPSS, and the mean scores obtained from the scales were evaluated through correlation analysis. The results indicated significant relationships between work-life balance, burnout, and quiet quitting. Work-life balance was found to be a mitigating factor in the relationship between
burnout and quiet quitting. Individuals with a high level of work-life balance showed lower tendencies for quiet quitting, even when experiencing burnout.
This finding highlights that work-life balance serves as a critical buffer mechanism in reducing the risk of disengagement among employees. It was also
determined that the strength of the relationship between burnout and quiet quitting varies depending on the individual’s level of work-life balance. This study
emphasizes that policies focused on improving work-life balance can reduce burnout levels and decrease the tendency for quiet quitting. Strategies that
support the psychological resilience and job satisfaction of healthcare workers will provide benefits at both individual and organizational levels
Microbial Art Fixation on Agar Plate: MicArt Fixation for Microbiology Teaching
Get PDFArt based science materials engage students for learning all of the unseen microscobic creatures in easy way microbiology field. In this study we aimed to visualize bacterial and fungal species in artistic way. Inoculation of the colourful strains on agar plate as painting the agar with bacteria, provides beautiful round scenes and clear reminiscence related with the species learning for microbe world. For this purpose, we determined the different concentrations and exposure times of formaldehyde, glutaraldehyde, xylene, toluene, ethyl alcohol, epoxy, glycerin and phenol. We aimed to develop a protocol after determining the optimum storage times. As a method, we exposed all chemicals except epoxy to Petri dishes by spraying method for 1, 5, 10 min. As a result, we determined the fixative that provides the best protection is toluene. After 1 min of toluene exposure, we determined that the Petri dish with growth can be preserved for 6 months even under room conditions without disturbing the color and shape of the whole colony morphology. Here, we obtained best fixation process by using toluen, typically 1 min, depending on the species, was most promising for the preservation of art
DSPCI-MTL: Dynamic split point computing in multi-task learning implementation with collaborative intelligence
Get PDFDeep Neural Networks (DNNs) have become a crucial technology in image processing, renowned for their ability to generate effective feature maps. The integration of DNNs within Internet of Things (IoT) environments, particularly in multi-task robots and swarm systems, has positioned them as vital components in various applications. However, their deployment in IoT devices frequently encounters challenges such as limited hardware capabilities, constrained bandwidth, prolonged data transmission times, and image packet loss due to transmission losses. To address these issues, this paper introduces the Multi-Task Learning (MTL) method of Collaborative Intelligence (CI) strategy by dynamically distributing computational tasks among edge devices and cloud. This method addresses the potential performance degradation caused by suboptimal computational splitting points of DNN for multiple tasks (segmentation, classification, depth estimation) and compensates for losses under varying network conditions and data sizes. A key innovation of our methodology is the introduction of a dynamic method to determine split points by computing DNN layers based on real-time bandwidth and data volume. In addition, an Auto Encoder (AE) architecture is implemented in the cloud to reconstruct image data packets lost during transmission based on feature map similarity measurements. Experimental results show that processing all transactions in the cloud with specific operational parameters reduces processing time by 38 % compared to traditional methods, while dynamically selecting the split point results in gains of up to 61 %. Furthermore, the proposed method achieves efficiency by reducing energy consumption by up to 50 % compared to cloud-only processing. It demonstrates robustness under varying network delays and reduces inference time by up to 47.5 % under low-latency conditions. In this regard, the innovative use of an AE for data loss reconstruction also shows significant potential in complex and long-distance images compared to traditional methods and gives promising results in improving data integrity and system performance. The results confirm the efficacy of the proposed architecture in real-time distributed processing and IoT-based smart systems
Predictors of Growth of Vestibular Schwannoma After Gamma Knife Treatment: A Systematic Review
Get PDFBackground: GKRS shows a high success rate in controlling growth of vestibular schwannoma, but a small number of tumors still grow after treatment. However, only a few studies have investigated the predictive factors of this growth. Objective: Here, we aim to explore the growth determinants of vestibular schwannoma after GKRS. Methods: This paper has analyzed literature published between 2000 and 2024 from PubMed, EMBASE, and Cochrane databases. Potential determinants, including age, gender, tumor volume, radiation dose, tumor location, and imaging characteristics, have been reviewed. Conclusions: We have found that initial tumor volume, pretreatment growth rate, and imaging ADC value potentially predict growth after GKRS. These findings provide a reference for further optimizing personalized treatment in vestibular schwannoma care
Ön çapraz bağ yaralanması olan yetişkinlerde dengeyi etkileyen faktörlerin belirlenmesi / Determination of factors affecting balance in adults with anterior cruciate ligament injury
No full textBu tez çalışması, ön çapraz bağ (ÖÇB) yaralanması geçirmiş yetişkin bireylerde statik
ve dinamik dengeyi etkileyen faktörleri belirlemek ve bu bireyleri sağlıklı kontrollerle
karşılaştırmak amacıyla gerçekleştirilmiştir. Çalışmaya 24 ÖÇB yaralanmalı birey ve 24
sağlıklı birey dahil edilmiştir. Katılımcıların diz fleksiyon ve ekstansiyon kas kuvveti ile
enduransı, ağrı düzeyleri, kinezyofobi, fiziksel aktivite düzeyleri ve yaşam kaliteleri
değerlendirilmiş; denge testleri ise Tek Ayak Üzerinde Durma Testi (gözler açık ve kapalı) ile
statik, ALFA Stabilometrik Platform Denge Ölçüm Sistemi Testi ile dinamik denge olarak
ölçülmüştür.
ÖÇB grubunun tüm denge testlerinde sağlıklı bireylere kıyasla anlamlı düzeyde düşük
performansa sahip olduğunu göstermiştir (p<0,05). Ayrıca ÖÇB grubunda denge skorları; diz
ekstansiyon kas kuvveti, fiziksel fonksiyon ve ağrı gibi parametrelerle güçlü ilişkiler
göstermiştir (p<0,05). Çoklu doğrusal regresyon analizine göre diz ekstansiyon kas kuvveti ve
SF-36 fiziksel fonksiyon alt boyutu gözler açık statik dengeyi %60 oranında; gözler kapalı
durumda statik dengeyi ise %50 oranında; dinamik dengeyi ise ağrı, diz ekstansiyon kas kuvveti
ve statik denge %32 oranında tahmin ettiği belirlemiştir.
Bu tezin sonuçlarına göre, ÖÇB yaralanmasının sadece diz çevresi kas kuvveti ve
proprioseptif kapasiteyi değil, aynı zamanda fonksiyonel bağımsızlık ve yaşam kalitesini de
etkilediğini göstermektedir. Sonuçlar doğrultusunda, ÖÇB yaralanması sonrası rehabilitasyon
programlarında denge eğitiminin yanı sıra kas kuvvetinin artırılmasına ve psiko-sosyal
faktörlerin iyileştirilmesine yönelik bütüncül yaklaşımların önemi vurgulanmaktadır