bluuebunny/crossref_metadata_2025 huggingface dataset:
The Relationship between HbA1c and Glucosuria in Diabetes Mellitus (DM) Patients
Authors: Nurjanah Mutia Hariani , Wijaya Anas Fadli , Meri Meri , Tilarso Dara Pranidya , Siswidiani Maya Diva
Published: February 2024

Diabetes mellitus is a condition of abnormalities in blood glucose metabolism that can cause various macroangiopathy complications such as disorders of the peripheral blood vessels, heart blood vessels, cerebral blood vessels as well as microangipathic complications such as diabetic retinopathy disorders, nephropathy and neuropathy. HbA1c describes the level of sugar in the blood for the last 3 months. Glucose is not found in normal urine because it is reabsorbed back into the blood vessels by renal filtration. The aim of this study was to determine the relationship between HbA1c levels and glucosuria in people with diabetes mellitus. The design of this study is a cross-sectional approach to DM patients. The sampling technique used was purposive sampling. Data analysis was carried out by means of Spearman's rank correlation test. Results Correlation analysis showed that there was a significant relationship between HbA1c levels and glucosuria in DM patients p-value 0.005 with a coefficient value of 0.597. The conclusion from this study is that there is a significant relationship with a strong correlation strength and a positive correlation direction for DM sufferers.
Lenguaje de programación scratch y pensamiento computacional en niños de 6 a 12 años, Institución Influence SAC. Los Olivos, 2020
Authors:   , Araujo Poclin Lourdes
Published: February 2024

A nivel mundial, la tecnología apoya al aprendizaje, según Condo (2017) explica que, en Suiza en ese año, los estudiantes del magisterio empezaron a aprender a programar en el desarrollo de sus enseñanzas. Asimismo, en USA, México, Holanda e instituciones del continente europeo desarrollaron conferencias de pensamiento computacional aplicado a estudiantes de nivel secundario. Para Flores (2019), en nuestro país el Programa Curricular de primaria en educación (2017), no desarrolla el “pensamiento computacional” en ninguna de sus formas, considera habilidades de uso de las tecnologías de información, de tal manera que el concepto era difuso en aquella época, sin embargo, en otras partes del mundo, países como Rusia, Sudáfrica, Nueva Zelanda y Australia incluyeron en sus currículos oficiales de primaria; Reino Unido empezó(2012) para programación en niños y niñas, Estonia y Finlandia promovían, el “conocimiento comprensivo” para la construcción y comprensión de las para crear propias aplicaciones. Conforme a nuestros hallazgos, permite encontrar soluciones concretas en relación a nuestras variables. En las aulas, el pensamiento computacional, permite la creatividad, el trabajo colaborativo; ayuda con la superación de diversos temores de los estudiantes (Santoyo, 2016).
Performance Analysis of the Vortex Cuttings Cleaner: Turbine Hydraulic Drive and Cuttings Transport in Wellbore Annulus
Authors: Zhang Yiqun , Hu Zhaowen , Wang Qi , Huang Haochen , Liu Ya , Wang Wei
Published: February 2024

In the process of directional and horizontal well drilling, cuttings tend to settle and form a bed at the low side of the annulus due to gravity, which decreases the drilling rate and even causes accidents in severe cases. This paper analyzes the performance of a new tool, the vortex cuttings cleaner, which can be effective without rotation of the drillpipe. Based on the computational fluid dynamics (CFD) approach, together with the discrete phase, Euler, and dynamic mesh models, the vortex cuttings cleaner is investigated with respect to the turbine torque, turbine velocity, pressure drop, and cuttings transport in the annulus. The working mechanism of the vortex cuttings cleaner is clarified. Finally, field tests are conducted on the tool to evaluate its application in terms of service life, wellbore friction, and rate of penetration (ROP). The results show that the turbine can rotate continuously under hydraulic drive. The turbine torque/velocity and the tool’s pressure drop increase with increasing displacement. The cuttings transport in the annulus is jointly affected by factors such as turbine velocity, fluid velocity, and particle size. A too low or high turbine velocity is unfavorable for cuttings transport. Through the analysis of the number of particles and particle concentration, the optimal velocity is determined to be 125 rev/min. The swirling flow intensity in the annulus flow field increases with the increase in turbine velocity. Field applications suggest a service life longer than 200 hours, a notable decrease in wellbore friction, and an average increase in ROP by more than 20%. This study provides a theoretical basis for the research on wellbore cleaning tools.
Adsorption Characteristics of CO2/CH4/H2S Mixtures in Calcite Nanopores with the Implications for CO2 Sequestration
Authors: Rui Zhenhua , Qian Cheng , Liu Yueliang , Zhao Yang , Li Huazhou Andy , Afanasyev Andrey , Torabi Farshid
Published: February 2024

Injecting CO2 into reservoirs for storage and enhanced oil recovery (EOR) is a practical and cost-effective strategy for reducing carbon emissions. Commonly, CO2-rich industrial waste gas is used as the CO2 source, whereas contaminants such as H2S may severely impact carbon storage and EOR via competitive adsorption. Hence, the adsorption behavior of CH4, CO2, and H2S in calcite (CaCO3) micropores and the impact of H2S on CO2 sequestration and methane recovery are specifically investigated. The Grand Canonical Monte Carlo (GCMC) simulations were applied to study the adsorption characteristics of pure CO2, CH4, and H2S, and their multicomponent mixtures were also investigated in CaCO3 nanopores to reveal the impact of H2S on CO2 storage. The effects of pressure (0–20 MPa), temperature (293.15–383.15 K), pore width, buried depth, and gas mole fraction on the adsorption behaviors are simulated. Molecular dynamics (MD) simulations were performed to explore the diffusion characteristics of the three gases and their mixes. The amount of adsorbed CH4, CO2, and H2S enhances with rising pressure and declines with rising temperature. The order of adsorption quantity in CaCO3 nanopores is H2S > CO2 > CH4 based on the adsorption isotherm. At 10 MPa and 323.15 K, the interaction energies of CaCO3 with CO2, H2S, and CH4 are −2166.40 kcal/mol, −2076.93 kcal/mol, and −174.57 kcal/mol, respectively, which implies that the order of adsorption strength between the three gases and CaCO3 is CO2 > H2S > CH4. The CH4-CaCO3 and H2S-CaCO3 interaction energies are determined by van der Waals energy, whereas electrostatic energy predominates in the CO2-CaCO3 system. The adsorption loading of CH4 and CO2 are lowered by approximately 59.47% and 24.82% when the mole fraction of H2S is 20% at 323.15 K, reflecting the weakening of CH4 and CO2 adsorption by H2S due to competitive adsorption. The diffusivities of three pure gases in CaCO3 nanopore are listed in the following order: CH4 > H2S ≈ CO2. The presence of H2S in the ternary mixtures will limit diffusion and outflow of the system and each single gas, with CH4 being the gas most affected by H2S. Concerning carbon storage in CaCO3 nanopores, the CO2/CH4 binary mixture is suitable for burial in shallower formations (around 1000 m) to maximize the storage amount, while the CO2/CH4/H2S ternary mixture should be buried as deep as possible to minimize the adverse effects of H2S. The effects of H2S on CO2 sequestration and CH4 recovery in CaCO3 nanopores are clarified, which provides theoretical assistance for CO2 storage and EOR projects in carbonate formation.
Virtual Meter with Flow Pattern Recognition Using Deep Learning Neural Networks: Experiments and Analyses
Authors: Mercante Renata , Netto Theodoro Antoun
Published: February 2024

Operators often require real-time measurement of fluid flow rates in each well of their fields, which allows better control of production. However, petroleum is a complex multiphase mixture composed of water, gas, oil, and other sediments, which makes its flow challenging to measure and monitor. A critical issue is how the liquid component interacts with the gaseous phase, also known as the flow pattern. For example, sometimes liquids can accumulate in the lower part of the pipeline and block the flow completely, causing a gas pressure buildup that can lead to unstable flow regimes or even accidents (blowouts). On the other hand, some flow patterns can also facilitate sediment deposition, leading to obstructions and reduced production. Thus, this work aims to show that deep neural networks can act as a virtual flowmeter (VFM) using only a history of production, pressure, and temperature telemetry, accurately estimating the flow of all fluids in real time. In addition, these networks can also use the same input data to detect and recognize flow patterns that can harm the regular operation of the wells, allowing greater control without requiring additional costs or the installation of any new equipment. To demonstrate the feasibility of this approach and provide data to train the neural networks, a water-air loop was constructed to resemble an oil well. This setup featured inclined and vertical transparent pipes to generate and observe different flow patterns and sensors to record temperature, pressure, and volumetric flow rates. The results show that deep neural networks achieved up to 98% accuracy in flow pattern prediction and 1% mean absolute prediction error (MAPE) in flow rates, highlighting the capability of this technique to provide crucial insights into the behavior of multiphase flow in risers and pipelines.
A New Mechanistic Model for Wettability-Altering Surfactant Floods in Carbonates
Authors: Shi Yue , Mohanty Kishore K. , Leung Juliana Y. , You Qing
Published: February 2024

Surfactants and low-salinity brines have been shown to be effective for enhanced oil recovery in carbonate rocks through wettability alteration (WA). Oil wettability of carbonates is ascribed to the adsorbed organic acid components in oil. The removal of the adsorbed acids leads to WA. Previous experiments with wettability-altering surfactants have shown the following: WA is a slow process; acid removal is irreversible in most cases; surfactants can access the rock surface in water-wet regions and at three-phase contact lines rather than the entire rock surface; surfactant molecules become inactive after interactions with acids. Existing models/simulators do not incorporate the aforementioned observations. In this work, a multiphase, multicomponent, finite-difference reservoir simulator incorporating a new mechanistic model for WA was developed. The model captures the key physicochemical reactions between adsorbed acids and surfactant molecules and honors the four experimental evidences. The model was first tested at the core scale. The simulation results demonstrated that the model can accurately predict waterflood performance in rocks with various wettability. It can also effectively account for the influence of injection rates in surfactant flood experiments. The effectiveness of the surfactant, controlled by an interaction constant in the model, was found to be a dominant factor. The model was also tested for field-scale pilot tests. The results revealed that total quantity of chemicals injected and the injection rate have a more pronounced effect on oil recovery compared to the timing of surfactant treatment and the concentration of surfactant slug.
Metagenome-based microbial community analysis of urine-derived fertilizer
Authors: Desta Adey , Woldeyohannis Nebiyat N.
Published: February 2024

The present study aimed to understand the bacterial portion of the microbial community composition and dynamics of plasmid-mediated antimicrobial resistant genes during the optimized process of struvite production from composite human urine. Samples for DNA extraction was collected from fresh urine, stored urine and struvite during the process of struvite production. Shotgun metagenomic analysis was employed to understand the bacterial community. The most dominant phyla in the fresh and stored urine samples were Pseudomonadata, which comprised of 60% and 43% respectively, followed by Bacillota, comprised of 25% and 39% respectively. The struvite sample was dominated by the phylum Bacilliota (61%), Pseudomonadota (18%) and bacteroidota (12%). Members of the above phyla persisted in dominating each sample accordingly. Member of the family Morganellaceae was dominant in the fresh sample while the stored urine and struvite samples were dominated by the family Clostridiaceae. A decrease of members of the class Gammaproteobacteria was observed from the fresh to the struvite sample though not statistically significant. The genus Pseudomonas remained to be the most dominant member of Gammaproteobacteria in the fresh and stored urine sample with OTU count of 12,116 and 6,155 with a marked decrease by half in the stored sample. On the other hand, members of the genera Clostridium, Enterococcus, Bacteroides in the stored samples and Clostridium, Alkaliphilus and Pseudomonas in the struvite samples were dominant. Ninety-six percent of the identified genera were shared in all the samples and the antimicrobial resistance genes (ARGs) identified in the fresh urine were shared by the struvite but not by the stored urine (eg. sul, cat, aph and aac members). the presence of high abundance of ARGs in struvite needs attention in the persistence and transmissibility of the ARGs before application for agriculture.
A grounded theory study of the identity and career decisions of artistic creative entrepreneurs
Authors:   , Gibson-Tessendorg Jacoba Cornelia
Published: February 2024

This research, in the field of creative careers, identity and entrepreneurship, aims to develop a grounded theory to explain the interaction between the phenomena of identity and career decision-making, focusing on Artistic Creative entrepreneurs in the creative industries. Artistic Creatives have unique characteristics and creative identities, presenting unique career opportunities. This research is interested in the different values of Artistic Creatives compared to those of Artistic Creative Entrepreneurs, who often experience a tension between their creative identity and their entrepreneurial identities The methodology used is the Straussian Grounded Theory. A Qualitative Research Approach used interviews to collect data on the careers and identity of Artistic Creative entrepreneurs in an area in the Eastern Cape Province of South Africa. Creative entrepreneurs work in the fields of fine art, design and crafts. The research procedure was recorded in detail, which enhances dependability. Ethics approval was obtained prior to the data collection. The data was analysed through open coding, axial coding and using a Straussian paradigm model. The findings present the values and identity of the Artistic Creative with Artistic Creative Archetypes and the entrepreneurial identities as Artistic Creative Entrepreneur Profiles. The Thesis by JC Gibson-Tessendorf effects of identity and contextual factors on their career patterns, especially as entrepreneurs, are analysed. The contribution that this study makes towards the creation of new knowledge is through, firstly, presenting aspiring creatives with career opportunities that relate to individual values. Secondly, it provides a model of Career Stage Options and Strategies that Artistic Creative Entrepreneurs may follow to either become part-time creative entrepreneurs or use the model as a guide for career planning. The study also developed a substantial theory proposing that the identities of Artistic Creative Entrepreneurs are 1) firstly multiple, 2) flexible and open to change, 2) driven by their values, 3) enacting across the tripartite identity framework, being personal identity, role identity and social identity. The concept of a tripartite of identities was taken from Brewer and Gardner (1996).
A review on positioning techniques of mobile robots
Authors: Semborski Jakub , Idzkowski Adam
Published: February 2024

In this article, we have reviewed the available positioning, localization and navigation techniques for mobile robots. Different localization techniques based on diverse technologies are compared with one another, along with diverse algorithms and techniques for analyzing this information. The article highlights algorithms based on odometry, triangulation, visual analysis, and marker detection. The analysis included global, local, and personal location. One acquires knowledge on which method is suitable for indoor use and which for outdoor use, as well as the appropriate environmental conditions for each. The accuracy of the individual methods was compared with that of integrated systems consisting of several methods. For practical knowledge, it is possible to determine whether a particular method is cost-effective for a particular solution and to compare the expenses involved.
The Effects of Surface Oxidation and H-Termination Processes Applied to Si Using Electrolytic Hydrogen Peroxide Solution to The Produced Cu/p-Si Schottky Contact Parameters
Authors: TEMİRCİ Cabir , ALİ HUSSEİN Qudama , ÖZMENTEŞ Reşit , YAMAN Abuzer
Published: February 2024

By using electrolytic hydrogen peroxide (H2O2) solution, oxidation and H-termination processes were applied to the p-Si crystal surface, which will be used for Cu/p-Si Schottky contact production, in a selective and controlled manner. Before the oxidation and H-termination processes, the p-Si(100) wafer used in this study was subjected to conventional chemical cleaning, and ohmic contact was made using pure aluminum (99.99%) metal on its back surface. The p-Si/Al with ohmic back contact was divided into three parts. A rectifying contact was immediately made to the front surface of one of them by using pure copper (99.98%) metal and called the REF (Reference) sample. The front surface of one of the remaining two p-Si/Al parts was oxidized, and the front surface of the other was H-Terminated. Rectifier contacts were made for both using pure copper (99.98%) metal and were named MIS (metal-insulator-semiconductor) and SP (surface passivated), respectively. Current-voltage (I-V) measurements of Schottky diodes of REF, MIS, and SP samples were performed at room temperature and in the dark. From the obtained data, the ideality factor (n), barrier height (Fbo), and series resistance (Rs) values of the samples were determined. As a result of the investigations, it was observed that the surface oxidation and H-Termination processes caused a decrease in the rectification factor and Fbo values of MIS and SP samples. These interesting situations were interpreted by the double-layer theory, which Bardeen predicted could exist on the surface of a semiconductor crystal and contribute to its work function.
Enhancing the Structural and Mechanical Properties of Ti-Zr Alloy through Boron Doping
Authors: İCİN Kürşat , SÜNBÜL Sefa Emre , SEZER Raşit
Published: February 2024

This study aims to improve the structural strength of the commonly used Ti-15Zr alloy in dental applications by investigating the effects of low boron additions. Ti-15Zr alloys containing 1-4% boron have been produced by vacuum arc melting. The phase ratios in the microstructure of the produced alloys vary according to the boron content. With increasing boron content, the ratio of TiB compound in the phase structure increases. The hardness of Ti-Zr-B alloys exhibited a notable increase in correlation with rising boron content. Measured hardness values of 36.31, 39.50, 44.14, and 53.40 displayed a clear upward trend with higher boron percentages. The tensile strength of the Ti-Zr-B alloys exhibits a trend of initially increasing with boron content, reaching its highest value of 888 MPa at 1% boron. The yield strength follows a similar with tensile strengh, with an initial rise from 449 MPa at 0% boron to a peak of 562 MPa at 1% boron content. Beyond this point, the yield strength slightly decreases to 469 MPa at 2% boron but sharply drops to 186 MPa at 4% boron content. As boron content increases in the Ti-Zr-B alloys, the percentage elongation, indicating the material's plastic deformation capacity before fracture, consistently decreases from 17.03% at 0% boron to 0.70% at 4% boron content.
Amino Asit Merkezli Kumarin ve Kalkon Grupları İçeren Hibrit Yapılarının Klik Reaksiyonu ile Sentezi, Karakterizasyonu, Termal ve Dielektrik Özelliklerinin İncelenmesi
Authors: BİRYAN Fatih , ÇALIŞKAN Eray , KORAN Kenan
Published: February 2024

Bu çalışma, kalkon ve kumarin grupları içeren amino asit konjugatlarının dielektrik özellikleri ve termal kararlılıklarının karşılaştırmalı bir analizini içermektedir. Bu konjugatların elektriksel davranışını incelemek amacıyla dielektrik sabiti, dielektrik kaybı ve AC iletkenliği araştırılırken, termal kararlılıklarını incelemek için termogravimetrik analiz (TGA) kullanılmıştır. Konjugatlar, kalkon veya kumarin yapılarının amino asit omurgalarına klik kimyası ile dahil edilmesiyle sentezlenmiştir. Dielektrik sabiti ölçümleri, kumarin bazlı amino asit konjugatlarının, kumarin sisteminin genişletilmiş π-konjugasyonu ve polarize edilebilirliği nedeniyle kalkon bazlı konjugatlara kıyasla daha yüksek değerler sergilediğini ortaya koymuştur. Dielektrik kayıp analizi, her iki konjugat türünün de yük transfer süreçleri ve moleküler hareketlerle ilişkili kayıplar sergilediğini göstermiştir. TGA ile termal stabilite değerlendirmesi, kalkon içeren konjugatın daha yüksek bozunma sıcaklıkları ile iyi termal stabilite sergilediğini ortaya koymuştur. Yüksek sıcaklıklarda gözlenen ağırlık kaybı, organik bileşenlerin termal bozunmasını göstermiştir. Bu etkili sonuçlar, dielektrik sabiti, dielektrik kaybı ve AC iletkenliği dahil olmak üzere dielektrik özelliklerin yanı sıra kalkon veya kumarin içeren amino asit konjugatlarının termal kararlılığı hakkında değerli bilgiler sağlamaktadır. Bulgular, elektronik cihazlar ve fonksiyonel malzemelerdeki potansiyel uygulamalar için önemli olan elektriksel davranışlarının ve termal özelliklerinin anlaşılmasına katkıda bulunmaktadır..
Peynir Altı Suyunda Üretilen Ekzopolisakkaritlerin Stabilizatör Olarak Kullanımının Dondurmanın Bazı Fiziksel, Duyusal ve Mikrobiyolojik Özelliklerine Etkileri
Authors: ALTUN İbrahim
Published: February 2024

Yapılan çalışmada, peynir altı suyundan elde edilen ekzopolisakkaritlerin (EPS), dondurma üretiminde stabilizatör olarak kullanılmasının dondurmanın çeşitli özellikleri üzerindeki etkisi araştırılmıştır. İki değişik yoğurt kültürü kombinasyonu kullanılarak peynir altı suyundan EPS üretilmiştir. Sonuçlar incelendiğinde, sadece EPS2 veya EPS2 + Xs karışımı ile üretilen dondurmaların bünye sıkılık değerleri diğer dondurmaların değerlerinden önemli ölçüde düşük çıkmıştır (P
Some General Comments on The Results For Sheep Breeding Researches at Atatürk University Farm
Authors: VANLI Yusuf , KAYGISIZ Ali
Published: February 2024

This article puts forward to brief comparative results of three unpressed doctorate thesis relating to the investigation on Merino, Morkaraman and their crosses which were maintained in Ataturk University farm, Erzurum. It contains; (i) General aspects of sheep population in Türkiye for both pure and crossbred genotypes relating to domestic and improved sheep breeds were summarized, (ii) The aims of research projects which were undertaken in Ataturk University farm were outlined, (iii) The effects of environmental factors such as year, age of ewe, breeding systems, birth status and sex relating productive and reproductive traits depended on data collected from Merino, Morkaraman and their crossbred sheep flocks were analyzed, (iv) Genetic parameters as heritability, repeatability and correlation estimates for the characteristics studied have been calculated from data adjusted for the effects of statistically significant environmental factors, (v) It was concluded that it can be possible to developed a more productive type of sheep for the establishment of a new Morkaraman flock in the area, by mating inter se of the members of a combination of the genotypic groups and applying a selection program for the criterions aimed.
Kahramanmaraş İlinde Yetiştirilen Halep, Saanen, Şami ve Saanen*Halep Melezi Keçilerinin Döl Verim Özellikleri
Authors: KAYGISIZ Ali , KAHVECİ Hatice , ÇOKAKLI Bilal , BAŞ Sinan
Published: February 2024

Bu çalışmada, Kahramanmaraş ilinde yetiştirilen 252 Halep, 201 Türk Saaneni, 150 Şami ve 95 baş Saanen*Halep melezi keçilerin döl verim performansları incelenmiştir. Irkın gebelik oranı üzerine etkisi önemsiz bulunmuştur. Teke altı keçi başına doğan oğlak sayısı, doğuran keçi başına doğan oğlak sayısı, ikizlik oranı, ölü doğum ve yavru atma oranına ırk etkisi önemli (P0.05) bulunmuştur. Halep, Saanen, Şami ve Saanen*Halep melezlerinde gebelik oranı 0.920.017, 0.900.019, 0.930.022 ve 0.940.028, teke altı keçi başına doğan oğlak sayısı 1.060.033, 0.950.036, 0.950.042 ve 1.180.053, doğuran keçi başına doğan oğlak sayısı; 1.190.024, 1.140.028, 1.040.032 ve 1.290.039, ikizlik oranları; %19.28, %14.46, %12.60 ve %28.74, ölü doğum ve yavru atma oranları; % 4, % 9, % 9 ve % 2 olarak bulunmuştur. Elde edilen veriler Halep ve Saanen*Halep melezi keçilerinin döl verim performanslarının daha yüksek olduğunu ve bölge şartları için daha avantajlı olduğunu ortaya koymaktadır.
Tavlama İşleminin SILAR Tekniğiyle Elde Edilen Cu3SnS4 İnce Filmlerin Yapısal ve Optik Özellikleri Üzerine Etkisi
Authors: ASTAM Aykut , ÇETİN Cemal
Published: February 2024

Cu3SnS4 ince filmler, sıralı iyonik tabaka adsorpsiyonu ve reaksiyonu (SILAR) tekniği kullanılarak cam altlıklar üzerine oda sıcaklığında büyütüldü ve azot atmosferinde farklı sıcaklıklarda tavlanarak büyütme sonrası tavlama işleminin filmlerin yapısal ve optik özellikleri üzerindeki etkileri incelendi. Filmlerin yapısal, yüzey morfolojik ve optik özellikleri X-ışını kırınımı (XRD), taramalı elektron mikroskobu (SEM), enerji dağılımlı X-ışını analizi (EDAX), Raman spektroskopisi ve optik soğurma ölçümleri kullanılarak incelendi. XRD sonuçları, filmlerin tavlama öncesinde tetragonal Cu3SnS4 fazından oluştuğunu, tavlama sıcaklığının arttırılmasının kristal yapının iyileşmesine ve Cu4SnS4, Cu2S ve CuS ikincil fazlarının oluşmasına neden olduğunu ortaya çıkardı. SEM görüntüleri, filmlerin nanometre boyutunda rastgele şekilli parçacıklardan oluştuğunu gösterdi. EDAX ölçümleri Cu, Sn ve S elementlerinin varlığını ve ayrıca tavlama sıcaklığının artmasıyla Sn ve S elementlerinin miktarlarının azaldığını ortaya koydu. Raman spektrumları Cu3SnS4 fazının ve yüksek tavlama sıcaklıklarında Cu4SnS4, Cu2S ve CuS ikincil fazlarının oluşumunu doğruladı. Optik soğurma ölçümlerinden filmlerin direkt geçişlere sahip olduğu ve artan tavlama sıcaklığıyla yasak enerji aralığı değerinin 1.62 eV'dan 1.47 eV'a azaldığı belirlendi.
Modeling the Impact of Vaccination on Epidemic Disease Variants with Hospitalization: A Case Study for the COVID-19 Pandemic in Turkey
Authors: TAŞ Cihan , KARA Rukiye
Published: February 2024

The stability analysis of an epidemic model that takes into account the impact of vaccination and hospitalization is investigated in this study. Disease-free and endemic equilibrium points are obtained for the stability analysis. The necessary conditions for analyzing local stability at equilibrium points as well as global stability at the disease-free equilibrium point are also defined. Using data from three different periods corresponding to the emergence of three different variants of the COVID-19 outbreak in Turkey, the numerical simulation with graph fitting for the model is also taken into account. The analysis considers the efficacy of vaccination in restricting the virus's spread.
KADINLARIN HPV TESTİ YAPTIRMA NİYETLERİ VE İLİŞKİLİ FAKTÖRLER
Authors: ERAT Melisa , DALKILIÇ Sema
Published: February 2024

Amaç: Çalışmada 30-65 yaş arası kadınların insan papilloma virüs (HPV) testi yaptırma niyetleri araştırılmaktadır. Aynı zamanda sağlık kontrol odağı ve çeşitli demografik faktörlerin HPV testi yaptırma niyeti ile ilişkisi incelenmiştir ve kadınlarda serviks kanserinin erken teşhis ile tedavi edilebilir bir hastalık olduğu farkındalığı oluşturmak amaçlanmıştır.
Yöntem: Çalışma, Mayıs-Temmuz 2023 tarihleri arasında Yozgat il merkezinde bulunan Aile Sağlığı Merkezlerine başvuran 343 kadın ile gerçekleşmiştir. Yüz yüze görüşerek toplanan veriler için anket kullanılmıştır. Anket, sağlık kontrol odağı ölçeği ve katılımcıları tanımlamaya yardımcı çeşitli sorulardan oluşmaktadır. Verilerin analizinde SPSS V.25 programı kullanılmıştır. Katılımcıların demografik özellikleri tanımlayıcı istatistiksel test ile, ilişki ve farkları test etmek için ise Ki-kare testi kullanılmıştır.
Bulgular: Çalışmaya katılan kadınların %41’i 36-45 yaş aralığında, %40’ı ortaokul mezunu, %44’ünün ekonomik durumu ortanın üzerinde, %85’i evli ve %65’i ev hanımıdır. Daha önce herhangi bir kanser tarama testi yaptıranların oranı %45, HPV testini duyanların oranı%78, HPV testinin ücretsiz yapıldığını bilenlerin oranı %63, HPV testini yaptırmayı düşünenlerin oranı ise %46’dır. Katılımcıların sağlık kontrol odağına bakıldığında ise; %33 iç kontrol, %15 şans kontrol ve %52’ sinin güçlü diğerleri kontrolünde olduğu saptanmıştır.
Sonuç: HPV testi yaptırma niyeti ile demografik ve çeşitli verilerin ilişkisi olup olmadığını anlayabilmek için yapılan analiz sonucuna göre, eğitim durumu, ekonomik durum, medeni durum, yaş, meslek, ailede kanser hikayesi olması ve HPV testinin ücretsiz olduğunu bilme HPV testi yaptırma durumunu etkilemektedir. Bunların yanı sıra katılımcıların sağlık kontrol odağı, çocuk sahibi olmaları, sağlık durumları, kronik hastalığı olması gibi faktörlerin ise HPV testi yaptırma niyeti ile ilişkili olmadığı görülmüştür.
External Defects and Soil Deposits Identification on Potato Tubers using 2CCD Camera and Principal Component Images
Authors:   Universitas Brawijaya, Riza Dimas Firmanda Al , Suzuki Tetsuhito ,   Kyoto University, Ogawa Yuichi ,   Kyoto University, Kondo Naoshi ,   Kyoto University
Published: February 2024

Precise recognition of potato external defects and the ability to identify defects and non-defect areas are in demand. Common scab represents a significant issue that requires detection, yet identifying the extent of common scab infection remains challenging when using a standard RGB camera. In this research, a 2CCD camera system that could obtain a set of RGB and near-infrared images, which could enhance defect detection, has been used. Image segmentation strategies based on a single principal component image and the principal component pseudo-colored image have been proposed to identify external potato defects while excluding soil deposits on the potato surface, often recognized as defects by the normal color machine vision system. Performance metrics calculation results show relatively good results, with segmentation true accuracy around 64% for both methods. Principal component pseudo-colored images were able to discriminate defects area and soil deposits in a single image. The methods presented in this paper could be used as the basis to develop further classification and grading algorithms.
Influence of Cultivars and Cultivation Land Slope on Sensory Quality of Gayo Arabica Coffee
Authors:   Universitas Syiah Kuala, Abubakar Yusya' , Hasni Dian ,   Universitas Syiah Kuala, Widayat Heru Prono ,   Universitas Syiah Kuala, Muzaifa Murna ,   Universitas Syiah Kuala, Rinaldi Dedi ,   Aceh Agriculture and Plantation Service
Published: February 2024

All processes involved influence the quality of brewed coffee. One factor that has not been explored well is the influence of environmental conditions, such as cultivation land slopes. This research examines the influence of cultivation area position on the taste quality of coffee from three local cultivars commonly cultivated in the Gayo Highlands. This research used a factorial randomized block design consisting of 2 factors: cultivar (V) and land area (H). The cultivars (V) observed were V1 = Timtim, V2= Borbor, V3 = Ateng Super, and V4 = multi variety. The expanse of coffee cultivation land (H) consists of M1 = flat expanse of land and M2 = sloping expanse of land with a slope of 25%-35%. The experiment was carried out with three replications. The results showed that the coffee brew from Ateng Super had higher acidity (low pH value, 4.90) than the other two cultivars. Cupping test results show that sloping land tends to produce better-tasting coffee brews. Borbor planted on sloping land produces coffee with the highest cupping score. The total cupping score for all treatments ranged from 80,04 – 85,08 with mean value 83,89, which shows that the coffee in this study meets the category of specialty coffee based on the standards of the Specialty Coffee Association of America (SCAA).
Banana Hump Starch and Ginger Extract as Edible Coating to Extend the Shelf-life of Red Chili Peppers
Authors:   Universitas Riau, Restuhadi Fajar , Ayu Dewi Fortuna ,   Universitas Riau, Nuratika Nuratika ,   Universitas Riau
Published: February 2024

Fresh red chili peppers is a product that spoils easily and has a concise shelf-life. Coating a natural edible coating on fresh red chili peppers will significantly increase their shelf-life. This research aims to obtain the best concentration of ginger extract in the edible coating of banana hump starch to extend the shelf-life of red chili peppers. The research was carried out experimentally using a completely randomized design with five treatments and three replications. The treatment in this research was an edible coating of banana hump starch with the addition of various concentrations of ginger extract; J0 (0%), J1 (1%), J2 (3%), J3 (5%), and J4 (7%); which were applied on red chili peppers for 15 days of storage. The parameters observed were weight loss, vitamin C, total microbes, and sensory assessment. The best treatment in this study was J4 (addition of 7% ginger extract). On the 15th day of storage, red chili peppers coated with edible coating treated with J4 experienced a reduction in weight loss of 41.20%, with 18.54 mg/100g of vitamin C and 5.89 log CFU/g of total microbes. Descriptive tests showed that on the 15th day of storage, red chili peppers had a red color, started to smell and taste rotten, and had a slightly hard texture.
Forecasting the incidence of dengue fever in Malaysia: A comparative analysis of seasonal ARIMA, dynamic harmonic regression, and neural network models
Authors: Mustaffa Nurakmal Ahmad , Zahari Siti Mariam , Farhana Nor Alia , Nasir Noryanti , Azil Aishah Hani
Published: February 2024

Currently, no vaccines or specific treatments are available to treat or prevent the increasing incidence of dengue worldwide. Therefore, an accurate prediction model is needed to support the anti-dengue control strategy. The primary objective of this study is to develop the most accurate model to predict future dengue cases in the Malaysian environment. This study uses secondary data collected from the weekly reports of the Ministry of Health Malaysia (MOH) website over six years, from 2017 to 2022. Three forecasting techniques, including seasonal autoregressive integrated moving average (SARIMA), dynamic harmonic regression (DHR), and neural network autoregressive model (NNAR), were first fitted to the estimation part of the data. First, several SARIMA models were run, and the best seasonal model identified was SARIMA (0, 1, 2) (1, 1, 1)52. The best DHR model was obtained with a Fourier term of 2, as this corresponds to the lowest Akaike Information Criteria (AIC) value. The NNAR (9, 1, 6)52 was considered the best choice among the NNAR models due to its superior performance in terms of the lowest error measures. The comparison among the three techniques revealed that the DHR model was the best due to its lowest MAPE and RMSE values. Thus, the DHR model was used to generate future forecasts of weekly dengue cases in Malaysia until 2023. The results showed that the model predicted more than a thousand dengue cases around weeks 27 to 32. The results showed an increase in dengue cases after the end of the monsoon season, which lasted about five months. This technique is proving to be valuable for health administrators in improving preparedness.
Examining the Carbon Management Strategies of Diebold Nixdorf
Authors: White Jessica , Deweerdt Tom
Published: February 2024

Carbon management is imperative to curb global temperature increases and mitigating climate change impacts. This report explores the carbon management strategies employed by Diebold Nixdorf, a multinational financial and retail technology company. As of 2021, the company has not established specific reduction targets and has not committed to achieving net zero emissions. The company employs diverse carbon reduction strategies, such as carbon offsetting, solar energy, and fleet improvements, with notable projects like the "green roof" initiative and a tree planting program contributing to carbon offsetting. Despite a gradual reduction in Scope 1 and Scope 2 emissions since 2015 and notable decreases in energy consumption and natural gas emissions from 2020 to 2021, Diebold Nixdorf falls short in revenue-adjusted emissions compared to competitors. Critical challenges within Diebold Nixdorf's carbon management strategies revolve around controversies related to carbon offsetting and uncertainties regarding the effectiveness of specific initiatives. Although an improved Carbon Disclosure Project (CDP) score and efforts in product sustainability showcase progress, the lack of specific targets remains a notable pitfall. The potential misuse of green labelling, considering significant carbon emissions from products, adds complexity to Diebold Nixdorf's carbon management approach. This report underscores the imperative need for substantial enhancements in the company's carbon management practices, emphasising a realignment of values and a firm commitment to carbon reduction and net-zero goals in response to the severity of the climate crisis.
Feminist Paradigm in the Social Researches
Authors: Hama Saeed Aram , Mustafa Alia Faraj
Published: February 2024

The lack of scientific literature in Kurdish language on research paradigms in the social sciences creates complications for new researchers. This paper attempts to discuss some of the basic issues of social science research in order to provide a clear presentation for researchers in this field. The purpose of this paper is to provide a brief overview of the different research paradigms. especially the feminist paradigm. The paper reviews the literature on the feminist paradigm and explains its ontological, epistemological and methodological positions. It also defines and explores different research methods in detail. It emphasizes that we need to be mindful of issues related to women in our choice of research paradigm and to design our research with a clear connection between the nature of the paradigm and the theoretical framework of research. The decision to choose a philosophical perspective for the study of a phenomenon or topic related to women's issues is important to be guided by the demands and needs of a study. It is important that researchers adopt an appropriate approach to the choice of research methods or combination of methods, but the choice of any research method should not be interpreted as indicative of an ontological or epistemological position, in the sense that the choice of research paradigm takes precedence.
دور الاستثمار في الموارد البشرية في دعم سمعة المنظمة
Authors: F .Mohammed Zhila Jamal , Saeed Lovan Akram
Published: February 2024

يهدف هذا البحث إلى تحليل دور الاستثمار في الموارد البشرية في دعم سمعة المنظمة، وتم اعتماد المنهج الوصفي التحليلي لتحديد الإطار النظري والميداني لمفاهيم ومتغيرات البحث، وقد استخدم الباحثتان استمارة الاستبانة كأداة لجمع البيانات، وتم توزيع (100) استمارة على أعضاء الهيئة التدريسية في المعهد التقني في السليمانية، جامعة السليمانية التقنية ، وتم الحصول على (91) استمارة صالحة للتحليل، ومن أجل اختبار فرضيات البحث تم اختبار علاقات الارتباط والتأثير من خلال تطبيق الأساليب الاحصائية بواسطة البرنامج الاحصائي (SPSS V.26)، وتوصل البحث إلى مجموعة من الاستنتاجات أهمها: وجود علاقة ارتباط معنوية طردية بين الاستثمار في الموارد البشرية، وسمعة المنظمة، ووجود تأثير موجب ذات دلالة معنوية لأبعاد الاستثمار في الموارد البشرية (التدريب والتطوير، والثقافة التنظيمية، والابتكار والتجديد، والخبرة) في دعم سمعة المنظمة بأبعادها: (الابداع، المسؤولية الاجتماعیة‌‌‌، الأداء المالي  والجودة) في المنظمة المبحوثة، وكان لبعد الخبرة التأثير الأكبر بين أبعاد الاستثمار في الموارد البشرية الأربعة في دعم سمعة المنظمة، وبناء على ذلك فقد اقترحت الباحثتان ضرورة تعزيز واستثمار المزيد في الموارد البشرية من خلال تطوير مهاراتهم وتحسين مستواهم العلمي، وخاصة في المؤسسات الأكاديمية، لأن الموارد البشرية هي سبب كل تقدم ونتائج جيدة، حيث إن رأس المال البشري هو مصدر كل ابتكار وتحسين سمعة الجامعة.
Investigation of Deepfake Voice Detection Using Speech Pause Patterns: Algorithm Development and Validation
Authors: Kulangareth Nikhil Valsan , Kaufman Jaycee , Oreskovic Jessica , Fossat Yan
Published: February 2024

Background

The digital era has witnessed an escalating dependence on digital platforms for news and information, coupled with the advent of “deepfake” technology. Deepfakes, leveraging deep learning models on extensive data sets of voice recordings and images, pose substantial threats to media authenticity, potentially leading to unethical misuse such as impersonation and the dissemination of false information.

Objective

To counteract this challenge, this study aims to introduce the concept of innate biological processes to discern between authentic human voices and cloned voices. We propose that the presence or absence of certain perceptual features, such as pauses in speech, can effectively distinguish between cloned and authentic audio.

Methods

A total of 49 adult participants representing diverse ethnic backgrounds and accents were recruited. Each participant contributed voice samples for the training of up to 3 distinct voice cloning text-to-speech models and 3 control paragraphs. Subsequently, the cloning models generated synthetic versions of the control paragraphs, resulting in a data set consisting of up to 9 cloned audio samples and 3 control samples per participant. We analyzed the speech pauses caused by biological actions such as respiration, swallowing, and cognitive processes. Five audio features corresponding to speech pause profiles were calculated. Differences between authentic and cloned audio for these features were assessed, and 5 classical machine learning algorithms were implemented using these features to create a prediction model. The generalization capability of the optimal model was evaluated through testing on unseen data, incorporating a model-naive generator, a model-naive paragraph, and model-naive participants.

Results

Cloned audio exhibited significantly increased time between pauses (P<.001), decreased variation in speech segment length (P=.003), increased overall proportion of time speaking (P=.04), and decreased rates of micro- and macropauses in speech (both P=.01). Five machine learning models were implemented using these features, with the AdaBoost model demonstrating the highest performance, achieving a 5-fold cross-validation balanced accuracy of 0.81 (SD 0.05). Other models included support vector machine (balanced accuracy 0.79, SD 0.03), random forest (balanced accuracy 0.78, SD 0.04), logistic regression, and decision tree (balanced accuracies 0.76, SD 0.10 and 0.72, SD 0.06). When evaluating the optimal AdaBoost model, it achieved an overall test accuracy of 0.79 when predicting unseen data.

Conclusions

The incorporation of perceptual, biological features into machine learning models demonstrates promising results in distinguishing between authentic human voices and cloned audio.
A Scalable and Extensible Logical Data Model of Electronic Health Record Audit Logs for Temporal Data Mining (RNteract): Model Conceptualization and Formulation (Preprint)
Authors: Tiase Victoria L , Sward Katherine A , Facelli Julio C
Published: February 2024

BACKGROUND

Increased workload, including workload related to electronic health record (EHR) documentation, is reported as a main contributor to nurse burnout and adversely affects patient safety and nurse satisfaction. Traditional methods for workload analysis are either administrative measures (such as the nurse-patient ratio) that do not represent actual nursing care or are subjective and limited to snapshots of care (eg, time-motion studies). Observing care and testing workflow changes in real time can be obstructive to clinical care. An examination of EHR interactions using EHR audit logs could provide a scalable, unobtrusive way to quantify the nursing workload, at least to the extent that nursing work is represented in EHR documentation. EHR audit logs are extremely complex; however, simple analytical methods cannot discover complex temporal patterns, requiring use of state-of-the-art temporal data-mining approaches. To effectively use these approaches, it is necessary to structure the raw audit logs into a consistent and scalable logical data model that can be consumed by machine learning (ML) algorithms.

OBJECTIVE

We aimed to conceptualize a logical data model for nurse-EHR interactions that would support the future development of temporal ML models based on EHR audit log data.

METHODS

We conducted a preliminary review of EHR audit logs to understand the types of nursing-specific data captured. Using concepts derived from the literature and our previous experience studying temporal patterns in biomedical data, we formulated a logical data model that can describe nurse-EHR interactions, the nurse-intrinsic and situational characteristics that may influence those interactions, and outcomes of relevance to the nursing workload in a scalable and extensible manner.

RESULTS

We describe the data structure and concepts from EHR audit log data associated with nursing workload as a logical data model named RNteract. We conceptually demonstrate how using this logical data model could support temporal unsupervised ML and state-of-the-art artificial intelligence (AI) methods for predictive modeling.

CONCLUSIONS

The RNteract logical data model appears capable of supporting a variety of AI-based systems and should be generalizable to any type of EHR system or health care setting. Quantitatively identifying and analyzing temporal patterns of nurse-EHR interactions is foundational for developing interventions that support the nursing documentation workload and address nurse burnout.
Development of a context diagram for an agent-based spatially distributed system
Authors: Дианов С. В. , Швецов А.Н. , Дианов Д. С.
Published: February 2024

В статье рассматриваются особенности разработки контекстных диаграмм агент- ориентированных пространственно-распределенных систем. Представлен авторский подход к их содержанию. Он основан на том, что данные системы относятся к особому классу, в котором территориальное размещение объектов увязывается с их динамикой и активным поведением. Исходя из этого, предложено выделить два контура взаимодействия между внешними объектами и системой: контур управления целевыми установками на внутрисистемном уровне и контур управления правилами организации функционирования системы. Также в статье рассмотрены вопросы отображения элементов, обозначенных на диаграммах. Предложенные подходы продемонстрированы на примере построения контекстной диаграммы системы лесозаготовки регионального уровня.

The article discusses the features of developing context diagrams for agent-based spatially distributed systems. The authors’ approach to their content is presented. It is based on the fact that these systems belong to a special class in which the territorial location of objects is linked to their dynamics and active behavior. Based on this, it is proposed to distinguish separately two circuits of interaction between external objects and the system: a circuit for managing target settings at the intrasystem level and a circuit for managing the rules for organizing the system functioning. The issues of displaying the elements indicated in the diagrams are considered. The proposed approaches are demonstrated using the example of constructing a context diagram of a regional-level logging system.