Insights into the high and prolonged inhibition mechanism of pyridoxine hydrochloride as vitamin B6: a new green inhibitor slowing the acidic corrosion of mild steel

This study aimed to assess the green corrosion inhibitor effect of the compound known as vitamin B6 and called pyridoxine hydrochloride (PYB6) on mild steel in 1.0 M HCl solution by some electrochemical techniques such as linear polarization resistance (LPR), potentiodynamic polarization, and electrochemical impedance spectroscopy (EIS) for various concentrations and durations. In order to examine the interplay between PYB6 and mild steel surface, various adsorption isotherms were tried and the best correlation constant among them was acquired by Langmuir adsorption isotherm. Experimental data calculated by the EIS method showed that the lowest inhibition efficiency value was 70.7% for 1.0 x 10-5 M PYB6 solution concentration after one hour of immersion, while the highest inhibition efficiency value was 96.8% for 1.0 x 10-3 M PYB6 solution concentration after 48 h of immersion. The finding of zero charge potential (PZC) of mild steel was found to be - 0.010 V in the solution containing the highest concentration of PYB6, which supports that the inhibition mechanism creates a protective film layer on the surface of mild steel with protonated PYB6 molecules. The surface analysis of PYB6 onto mild steel in a hydrochloric acid solution was also examined utilizing techniques such as atomic force microscope (AFM) and field emission scanning electron microscope (FE-SEM). It was concluded that PYB6 green inhibitor formed a presentative adsorption film on the surface of mild steel, effectively reducing its corrosion

Data-driven energy consumption prediction of a university office building using machine learning algorithms

Redundant consumption of energy in buildings is an important issue that causes increasing problems of climate change and global warming in the world. Therefore, it is necessary to develop efficient energy management approaches in buildings. Accurate prediction of energy consumption plays an important role to obtain energyefficient buildings. Data-driven methods gained attention for estimation of energy consumption in buildings which would provide more accurate prediction results. In this study, hourly energy consumption prediction is performed on a university office building to increase energy efficiency in the building using machine learning algorithms. A new parameter is proposed, air conditioning demand, to improve accuracy of the algorithms. Moreover, temporal parameters, i.e. day of week, month of year, and hour of day, were used along with meteorological parameters to improve prediction performance of the algorithms. Experimental results show that hourly energy consumption of the building could be predicted using machine learning algorithms with high performance. When the results were analysed, Deep Neural Network (DNN) achieved better performance among other alternative algorithms. The average values of R2, RMSE and MAPE for DNN were 0.959, 4.796 kWh, and 5.738 %, respectively. Also, the addition of proposed air conditioning demand parameter provided improved performance to the algorithms

2005-2023 Yılları Arasında Çizgi Roman Konusunda Yayımlanmış Makalelerin Analizi

Çizgi romanlar geçmişten günümüze kadar birçok alanda kullanılan çok işlevli bir materyaldir. Eğitim alanında ise son yıllarda popüler hale gelmiş ve derslerde sıklıkla kullanılmaya başlanmıştır. Nitekim çizgi romanlar, görsel öğeleri çok fazla barındırmasından, komik ve eğlenceli olmasından dolayı öğrencileri derse karşı isteklendirmede ve sürece aktif olarak dahil etmede önemli bir role sahiptirler. Dahası çizgi romanlar, kendine has bir dil ve üslup sayesinde gerek çocukların dil gelişimlerine katkı sağlamakta gerekse de çocukların ilgisini çekmektedir. Bu bağlamda araştırmanın amacı çizgi roman konusunda yayınlanmış olan makaleleri saptamak ve bu konuda gerçekleştirilecek çalışmalara yol göstermektir. Bu amaç doğrultusunda araştırma, 2005-2023 yılları arasında çizgi roman konusunda yayınlanan makalelerin analizi ile sınırlandırılmıştır. Nitel desende tasarlanan araştırmada veri toplama aracı olarak doküman incelemesi yöntemi kullanılmış ve veriler içerik ve betimsel analiz tekniği ile analiz edilmiştir. Araştırma sonucunda, yayınlanan makalelerin en fazla 2018-2023 yılları arasında, sosyal bilimler dergisinde ve Türkçe dilinde yayınlandığı sonucuna varılmıştır. Konu alanı bakımından en fazla \"çizgi roman incelemesi\", \"çeşitli görüşlerin incelenmesi\" ve \"öğrenci motivasyon, algı ve tutumuna etkisi” konularının incelendiği görülmektedir. Ayrıca en fazla nitel yöntemin tercih edildiği, örneklem grubu olarak ortaokul öğrencilerinin ve örneklem büyüklüğünün ise ortalama olarak 11-30 aralığında olduğu tespit edilmiştir. Veri toplama aracı olarak en fazla test/ölçek/anket kullanıldığı, veri analiz yöntemi olarak ise en fazla nicel veri analiz tekniklerinin tercih edildiği gözlemlenmiştir. Araştırmanın sonucunda elde edilen veriler neticesinde çeşitli önerilerde bulunulmuştur

A new technique for closure of pericardial defects: pericardial rug weave

Background Pericardial defect that occurs after intrapericardial pneumonectomy can cause many fatal complications, and closing the defect with mesh is a widely used surgical method to prevent these complications.Methods Data of patients who underwent intrapericardial pneumonectomy and pericardial resection in our clinic between October 2010 and June 2022 were retrospectively reviewed. Patients were divided into two groups, those who had prolene mesh used to close the pericardial defect and those who underwent the Rug Weave technique we proposed as an alternative, and the results were compared.Results The study included 23 patients, one of whom was female. All patients underwent surgery due to malignancy. The vast majority of the patients had a diagnosis of squamous cell lung carcinoma (86.9%). Atrium was added to three patients and rib resection was added to one patient during intrapericardial pneumonectomy and pericardial resection. There was no significant difference between the two groups in terms of average age, gender, and length of hospital stay. There was no significant difference between the two groups in terms of complications, including atrial fibrillation, which is commonly seen in these patients (p = 0.795). The Rug Weave group had an average defect width of 23.96 cm2 and was found to be advantageous in terms of overall survival compared to the mesh group (p = 0.017).Conclusions The Rug Weave technique we proposed for closing pericardial defects after pneumonectomy can be used as a cheaper method safely and effectively that reduces complications as much as the traditional method of using mesh

The efficiency of different mulch types and dose applications on runoff, soil, and nutrient losses under simulated rainfall

Mulching is one of the best management practices used in soil and water conservation studies. The aim of this study is to determine the effects of different mulch types and doses on runoff coefficient (Rc), soil loss (Er), sediment concentration (Sc), time to ponding (tp), runoff generation time (tr), percolated (pw) and retained (rw) water and total losses of nitrate-nitrogen (NO3-), ammonium-nitrogen (NH4+), total nitrogen (TN), phosphate-phosphorus (PO43-), and total organic carbon (TOC) under simulated rainfall in the laboratory. Three different mulch materials (dry weed, peanut hay, and wheat straw) were applied at four different doses (0, 2, 4, and 6 t/ha) on the experimental plots. A simulated rainfall intensity of 97 mm/s was applied for an hour. All mulch types and doses reduced Rc, and the most effective reduction was found in 2 t/ha dry weed mulch applied plots. The most effective application for reducing soil loss was 6 t/ha peanut hay mulch. The most effective application for delaying the ponding time and runoff generation time was the 4 t/ha application of wheat straw mulch. The highest pw and rw were found in 6 t/ha and 4 t/ha doses of dry weed mulch applications, respectively. The most effective application for reducing NH4+ losses was found in 4 t/ha wheat straw application plots. The most effective mulch type and dose for reducing NO3- loss was 6 t/ha of dry weed mulch. The lowest TN loss was found in the plots where 6 t/ha of peanut hay mulch was applied. In terms of PO43- losses, the lowest loss was in 6 t/ha of dry weed mulch plots. The lowest TOC loss was at 4 t/ha of straw mulch applications. Mulching can be a good natural-based solution for reducing soil, water, and nutrient loss. However, different mulch types and doses should be tested for different environmental conditions to determine the most cost-effective mulch type and dose.The authors thank Prof. Dr. Mustafa Korkanc for his laboratory support in the realization of the plot experiment of the research and Assoc. Prof. Dr. Alper Gurbuz for his support in improving English language of the article

Automatic deep learning detection of overhanging restorations in bitewing radiographs

Objectives This study aimed to assess the effectiveness of deep convolutional neural network (CNN) algorithms for the detecting and segmentation of overhanging dental restorations in bitewing radiographs.Methods A total of 1160 anonymized bitewing radiographs were used to progress the artificial intelligence (AI) system for the detection and segmentation of overhanging restorations. The data were then divided into three groups: 80% for training (930 images, 2399 labels), 10% for validation (115 images, 273 labels), and 10% for testing (115 images, 306 labels). A CNN model known as You Only Look Once (YOLOv5) was trained to detect overhanging restorations in bitewing radiographs. After utilizing the remaining 115 radiographs to evaluate the efficacy of the proposed CNN model, the accuracy, sensitivity, precision, F1 score, and area under the receiver operating characteristic curve (AUC) were computed.Results The model demonstrated a precision of 90.9%, a sensitivity of 85.3%, and an F1 score of 88.0%. Furthermore, the model achieved an AUC of 0.859 on the receiver operating characteristic (ROC) curve. The mean average precision (mAP) at an intersection over a union (IoU) threshold of 0.5 was notably high at 0.87.Conclusions The findings suggest that deep CNN algorithms are highly effective in the detection and diagnosis of overhanging dental restorations in bitewing radiographs. The high levels of precision, sensitivity, and F1 score, along with the significant AUC and mAP values, underscore the potential of these advanced deep learning techniques in revolutionizing dental diagnostic procedures

Maternal N-carbamylglutamate and L-arginine supplementations improve foetal jejunal oxidation resistance, integrity and immune function in malnutrition sheep during pregnancy

The present work focused on examining the function of rumen-protected L-arginine (RP-Arg) or N-carbamylglutamate (NCG) in jejunal oxidative resistance, integrity and immune function in the ovine foetal model of intrauterine growth restriction (IUGR). Thirty-two twin-bearing Hu ewes at d 35 of gestation were randomised as 4 treatment groups (n = 8 each): Control (CON), received 100% of the recommended National Research Council (NRC) for pregnancy; Restricted (RES), received 50% of the recommended NRC for pregnancy; RES + ARG, RES ewes added with 20 g/d of RP-Arg; or RES + NCG treatment, RES ewes added with 5 g/d of NCG. Foetal jejunal samples were collected on d 110 of pregnancy and were assayed for biomarkers of oxidative damage, integrity and immune function. The villus height was elevated (p < .05) within the jejunum of the foetuses of RES ewes subjected to dietary NCG or Arg supplementation relative to the RES group. RES + NCG or RES + ARG feeding decreased (p < .05) foetal jejunal tumour necrosis factor-alpha (TNF-alpha) and Interleukin (IL)-6 levels and elevated (p < .05) foetal jejunal superoxide dismutase (SOD) activity (p < .05) in relative to RES group. The Arg/NCG supplementation downregulated (p < .05) expression of gene and proteins associated with inflammatory response (TNF-alpha), upregulated (p < .05) genes and proteins associated with antioxidation (catalase and SOD2) and integrity (claudin-1) relative to those within foetal jejunum of RES group. In conclusion, Arg and NCG supplementation of RES ewes alleviates foetal jejunal oxidative stress, improves integrity, and promotes foetal intestinal development in the ovine foetus with IUGR.Project of National Key Research and Development Program of China [2023YFD1301705]; Top Talents Award Plan of Yangzhou University; Cyanine Project of Yangzhou UniversityThe work was funded by the fund for the Project of National Key Research and Development Program of China (2023YFD1301705), the Top Talents Award Plan of Yangzhou University (2020), and the Cyanine Project of Yangzhou University (2020)

Determination of in vitro antimicrobial and antibiofilm activity of Hypericum crenulatum against some food pathogens and its phenolic content

The study investigates the antimicrobial effects of the Hypericum crenulatum ethanolic (HCE) extract against 14 different food pathogens and their biofilm-forming abilities in response to HCE treatment. The phenolic acid composition of the HCE extract was also determined using an HPLC-DAD detector. The antimicrobial activity of HCE extract was assessed using the disc diffusion and microdilution methods. According to the findings, the methicillin-resistant Staphylococcus aureus ATCC 43300, Listeria monocytogenes RSKK 472, and Listeria innocua ATCC 33090 strains exhibited the lowest minimum inhibitory concentration (MIC) values at a concentration of 2 mu g mL(-1). Based on the disc diffusion test results, the largest zone of inhibition of HCE extract against foodborne pathogens was seen against Bacillus cereus, and the diameter of the inhibition zone increased with the concentration of HCE extract ( P < 0.05). In terms phenolic acid composition of HCE extract, the phenolic acids with the highest and lowest amounts were caffeic acid (59.92 mg g(- 1)) and p-coumaric acid (13.61 mu g g(- 1)), respectively. Our study determined that HCE extract demonstrated antimicrobial, bactericidal, and antibio fi lm activities against some foodborne pathogens. These effects reveal its potential for improving food safety by inhibiting the growth of these pathogens

Effects of different marination conditions on the physico-chemical and microbiological quality of anchovy (Engraulis encrasicolus) fillets inoculated with Morganella psychrotolerans during cold storage

This study is aimed to determine the effects of different marination conditions (1, 2, 3, 4% acetic and 6, 8, 10% NaCl) on the anchovy fillets inoculated with Morganella psychrotolerans during refrigerated storage (4 +/- 1 degrees C) for three months. According to the results of study, marination has great inhibitory effects on the growth of M. psychrotolerans. Total psychrophilic bacteria, total lactic acid bacteria, total yeast and mold, Total Enterobacteriaceae and M. psychrotolerans growth were not observed in the groups treated with 3 and 4% acetic acid. Control groups and fillets marinated with 1% acetic acid showed lower sensory scores. Those groups were rejected on 30th, 45th and 60th days of the storage, respectively, while the groups marinated with 2%, 3%, and 4% acetic acid had higher sensory scores and they were still acceptable until at the end of the study. According to peroxide value (PV) and thiobarbituric acid reactive substances (TBARS) assessment, lipid oxidation was delayed in the fillets marinated with high acetic acid concentrations (3 and 4%) comparing with the control and other inoculated fillets. From this research it can be revealed that high acetic acid and salt concentrations suppress the bacteria growth in the anchovy fillets. Thus, marination process can be recommended to be used as a preservation method to inhibit bacterial growth in anchovy fillets for a safe consumption.the scientific Research projects Unit of Nigde Omer Halisdemir University [TGT 2021/19-LUETEP]I appreciate the Scientific Research Projects Unit of Nigde Omer Halisdemir University, Nigde, Turkey for their support

TOPRAĞIN DİJİTALLEŞMESİ VE DİJİTAL ÖLÜMSÜZLÜK

Toprağın kişiyi hem hayata bağlaması hem de hayatı sona erdiğinde kişinin gideceği yer olması toprak kavramının sosyolojik bir eksende ele alınmasını beraberinde getirmektedir. Toprak aynı zamanda mesken, mahalle, şehir ve devlet sınırlarında önemli bir simgedir. Bazı bölgelerde toprak sahibi olmak belirli bir güç ekseninde ele alındığında toprağın siyasi, ekonomik, kültürel, dini ve sosyolojik imgelerle bütünleşen yegane kavram olduğu ifade edilebilir. Toplumdaki fertler toprak ile ilişkisi ekseninde toplumsal yaşama katılmakta ve bu ilişkiyi toprak ile kurduğu bağa göre devam ettirmektedir. Dijitalleşme ile birlikte her olgunun dijital mecrada önemli bir karşılığının olduğu dikkate alındığında toprak kavramı da bu durumdan etkilenmiştir. Zira dijital platformlarda toprak kavramının değişime uğraması sonucunda dijitalleşme ve toprak arasında farklı bir ilişki ortaya çıkmıştır. Bu durum ölüm olgusunun da değişmesini beraberinde getirmiştir. Ölüm, kişinin bedeninin yok olması ve bedenin toprağa gömülmesi ile toplumsal yaşamda kendisini göstermektedir. Ancak dijital ölümsüzlük kişinin bedeninin toprağa gömülmesi eksenindeki bir ölüm yaklaşımını dışlayarak kişinin dijital platformdaki varlığını vurgulamaktadır. Bu nedenle dijital ölümsüzlük, toprak ve ölüm arasındaki anlamlı ilişkiyi dönüştürerek kendisini topraksız bir yaşam çerçevesinde konumlandırmaya çalışmaktadır. Nitekim dijital ölümsüzlük çalışmalarında kişinin bedensel ölümünün gerçekleşmesi durumunda kişi dijital platformda yaşamına devam edebilmektedir. Bu çalışmada dijital ölümsüzlük, toprak ve dijitalleşme arasındaki ilişki ekseninde analiz edilmeye çalışılmıştır. Çalışmada dijital ölümsüzlük çalışmaları ile birlikte topluma topraksız bir yaşam entegre edilmek istenildiği ve bu yaklaşımın toplumsal yaşamda olumsuz sonuçlar doğurabileceği vurgulanmıştır