bluuebunny/crossref_metadata_2025 huggingface dataset:
Colorimetric Paper-Based Analytical Devices (PADs) Backed by Chemometrics for Pd(II) Detection
Authors: Alberti Giancarla , Magnaghi Lisa Rita , Iurato Marzia , Zanoni Camilla , Biesuz Raffaela
Published: August 2023

This paper presents the development of cheap and selective Paper-based Analytical Devices (PADs) for selective Pd(II) determination from very acidic aqueous solutions. The PADs were obtained by impregnating two cm-side squares of filter paper with an azoic ligand, (2-(tetrazolylazo)-1,8 dihydroxy naphthalene-3,6,-disulphonic acid), termed TazoC. The so-obtained orange TazoC-PADs interact quickly with Pd(II) in aqueous solutions by forming a complex purple-blue-colored already at pH lower than 2. The dye complexes no other metal ions at such an acidic media, making TazoC-PADs highly selective to Pd(II) detection. Besides, at higher pH values, other cations, for example, Cu(II) and Ni(II), can interact with TazoC through the formation of stable and pink-magenta-colored complexes; however, it is possible to quantify Pd(II) in the presence of other cations using a multivariate approach. To this end, UV-vis spectra of the TazoC-PADs after equilibration with the metal ions solutions were registered in the 300–800 nm wavelength range. By applying Partial Least Square regression (PLS), the whole UV-vis spectra of the TazoC-PADs were related to the Pd(II) concentrations both when present alone in solution and also in the presence of Cu(II) and Ni(II). Tailored PLS models obtained with matrix-matched standard solutions correctly predicted Pd(II) concentrations in unknown samples and tap water spiked with the metal cation, making the method promising for quick and economical sensing of Pd(II).
Lifting Wavelet-Assisted EM Joint Estimation and Detection in Cooperative Spectrum Sensing
Authors: Tian Hengyu , Zhao Xu , Chen Shiyong , Wu Yucheng
Published: August 2023

Spectrum sensing in Cognitive radio (CR) is a way to improve spectrum utilization by detecting spectral holes to achieve a dynamic allocation of spectrum resources. As it is often difficult to obtain accurate wireless environment information in real-world scenarios, the detection performance is limited. Signal-to-noise ratio (SNR), noise variance, and channel prior occupancy rate are critical parameters in wireless spectrum sensing. However, obtaining these parameter values in advance is challenging in practical scenarios. A lifting wavelet-assisted Expectation-Maximization (EM) joint estimation and detection method is proposed to estimate multiple parameters and achieve full-blind detection, which uses lifting wavelet in noise variance estimation to improve detection probability and convergence speed. Moreover, a stream learning strategy is used in estimating SNR and channel prior occupancy rate to fit the scenario where the SU has mobility. The simulation results demonstrate that the proposed method can achieve comparable detection performance to the semi-blind EM method.
Iterated Residual Graph Convolutional Neural Network for Personalized Three-Dimensional Reconstruction of Left Myocardium from Cardiac MR Images
Authors: Wang Xuchu , Yuan Yue , Liu Minghua , Niu Yanmin
Published: August 2023

Three-dimensional reconstruction of the left myocardium is of great significance for the diagnosis and treatment of cardiac diseases. This paper proposes a personalized 3D reconstruction algorithm for the left myocardium using cardiac MR images by incorporating a residual graph convolutional neural network. The accuracy of the mesh, reconstructed using the model-based algorithm, is largely affected by the similarity between the target object and the average model. The initial triangular mesh is obtained directly from the segmentation result of the left myocardium. The mesh is then deformed using an iterated residual graph convolutional neural network. A vertex feature learning module is also built to assist the mesh deformation by adopting an encoder–decoder neural network to represent the skeleton of the left myocardium at different receptive fields. In this way, the shape and local relationships of the left myocardium are used to guide the mesh deformation. Qualitative and quantitative comparative experiments were conducted on cardiac MR images, and the results verified the rationale and competitiveness of the proposed method compared to related state-of-the-art approaches.
Optimization of the Vacuum Fractional Distillation Process for Enhancing the α-Guaiene of Patchouli Oil with Response Surface Methodology
Authors: Widyasanti Asri , Nurjanah Sarifah , Nurhadi Bambang , Osman Che Puteh
Published: August 2023

α-guaiene is one of the primary sesquiterpene compounds used as a flavor and fragrance agent in patchouli oil. The fraction of patchouli oil that is rich in α-guaiene has been successfully isolated. In the present work, α-guaiene was isolated from crude patchouli oil through vacuum fractional distillation followed by GC-MS identification. Three important process parameters—feed volume, reflux ratio, and applied run pressure—were investigated and optimized using Box–Behnken design. The research methodology was an experimental laboratory using response surface methodology (RSM) with a feed volume level from 75 mL to 125 mL, a reflux ratio from 10:1 to 30:1, and an applied run pressure from 5 mmHg to 15 mmHg. The α-guaiene-enriched fraction was found in the first distillate fraction patchouli. The optimum condition that generated α-guaiene fraction at 44.70% purity was the treatment with a feed volume of 75 mL, a reflux ratio of 24:1, and applied run pressure of 14.80 mmHg. Results indicated that feed volume did not significantly affect the α-guaiene content, while the applied run pressure and reflux ratio used had a significant effect. A quadratic mathematical model with R2 0.861 and validation 96.14% was suitable for predicting the optimum α-guaiene fraction content during the vacuum fractional distillation process.
Dynamics of Trade Credit, Bank Credit Extension, Sustainable Economic Growth, and Imports: Evidence from the European Non-Financial Sector
Authors: Karaca Cengizhan
Published: August 2023

This study investigates the relationship between trade credit and sustainable economic growth, bank credit extension, and imports in the context of 15 European non-financial sectors spanning 2005Q1 to 2019Q2. Furthermore, it attempts to unveil the nonlinear relationship between trade and bank credit extension. To achieve these aims, balanced panel data are constructed and second-generation panel data are used to analyze Panel AMG Estimation, and an improved panel causality test for heterogeneous panels is employed. To enhance the robustness of the study, the results are scrutinized on a country-specific basis. The findings revealed a positive relationship between trade credit and both sustainable economic growth and imports, whereas a negative correlation was found with bank credit extension. These divergent outcomes at the country level were thoroughly discussed. Finally, a bilateral causality is identified between trade credit and economic growth, bank credit extension, and total manufacturing production, whereas a unidirectional causality is found with import activities.
Data-Driven Integrated Decision Model for Analysing Energetic Behaviour of Innovative Construction Materials Capable of Hybrid Energy Storage
Authors: Politi Chrysa , Peppas Antonis , Taxiarchou Maria
Published: August 2023

Aligning the European Union goals for climate neutrality by 2050 and the ambition for carbon equivalent emissions reduction to almost half by 2030 demands the exploration of alternative decarbonisation pathways. Energy consumption across all sectors is identified as a crucial contributor to this challenge, with a number of legislative and regulatory frameworks and commitments to be introduced every year. In response to these trends, the concept of exploiting a building’s thermal mass through the integration of phase change materials (PCMs) enhances the ability of building elements to reserve and deliver large amounts of energy during phase transitions. However, the incorporation of PCMs into building elements requires the thorough understanding of their thermal behaviour. This study evaluates and predicts the thermophysical properties of mineral particles carrying PCMs and coated with a cementitious layer able to be utilised as fillers in construction applications. By employing deep learning and predictive modelling techniques, the numerical data-driven model developed in this paper enhances accuracy and efficiency in property estimation and prediction, facilitating material selection, system design, and optimisation. A model in a MATLAB simulation environment is presented, evaluating and predicting the thermophysical properties of semi-organic particles able to enhance building envelope thermal mass as a hybrid energy storage solution. These findings show the time needed for a building block to undergo cooling, demonstrating a clear upgrade in the thermal discharge of the walls. Substituting traditional EP with PCM-enhanced EP leads to a minimum reduction of 1 °C per hour in the discharge rate, thereby extending the comfort duration of indoor spaces without necessitating additional space heating. These models offer the potential for assessing diverse material compositions and usage scenarios, offering valuable insights to aid decisions in optimizing building energy efficiency.
Digital Mapping of Soil pH Based on Machine Learning Combined with Feature Selection Methods in East China
Authors: Zhao Zhi-Dong , Zhao Ming-Song , Lu Hong-Liang , Wang Shi-Hang , Lu Yuan-Yuan
Published: August 2023

This study aimed to evaluate and compare the performances of the random forest (RF) and support vector regression (SVR) models combined with different feature selection methods, including recursive feature elimination (RFE), simulated annealing feature selection (SAFS), and selection by filtering (SBF) in predicting soil pH in Anhui Province, East China. We also used the ALL original features to build the RF and SVR models as a comparison. A total of 140 samples were selected, following the principles of randomness, uniformity, and representativeness, to consider the combination of landscape elements, such as topography, parent material, and land use. Auxiliary data, including climatic, topographic, and vegetation indexes, were used for predicting soil pH. The results showed that compared with the use the ALL original modeling features (ALL-RF, ALL-SVR), the combination of the three feature selection algorithms with RF and SVR can eliminate some redundant features and effectively improve the prediction accuracy of the soil pH model. For the RF model, the RMSE and the MAE of the calibration of the RFE-RF model were 0.73 and 0.57 and had the highest R2 in four different RF models. The testing set of the RFE-RF model had an R2 of 0.61, which was better than that of the ALL-RF (R2 = 0.45) model and lower than those of the SAFS-RF (R2 = 0.71) and SBF-RF (R2 = 0.69) models. For the SVR model, the RFE-RF model was more robust and had better generalization ability. The accuracy of digital soil mapping can be improved through feature selection.
Molecular Dynamics Investigation of the Gasification and Hydrogen Production Mechanism of Phenol in Supercritical Water
Authors: Liu Zhigang , Wu Liang , Qiu Yue , Liu Fan , Yi Lei , Chen Bin
Published: August 2023

Supercritical water gasification is an efficient and clean method for converting biomass into hydrogen-rich gas. Phenol plays a crucial role as an intermediate product in biomass supercritical water gasification, and studying its reaction pathway in supercritical water is essential for understanding the chemical reaction mechanism and optimizing biomass energy conversion processes. In this paper, we investigated the conversion mechanism of phenol gasification and hydrogen production in supercritical water using a combined approach of reactive force field (ReaxFF) and density functional theory (DFT). We determined the decomposition pathways and product distribution of phenol in supercritical water. The calculation results demonstrate that in the supercritical water system, the efficiency of phenol conversion for hydrogen production is approximately 27 times higher than that of hydrogen production through gasification in the pyrolysis state. Moreover, both the carbon conversion rate and hydrogenation rate in the supercritical water system are significantly higher compared to those in the pyrolysis system. Furthermore, we found that the energy in the supercritical system is approximately half that of the pyrolysis system, favoring the ring-opening reactions of phenol and promoting hydrogen production. In contrast, the pyrolysis system produces a greater quantity of aromatic compounds, leading to tar formation and having significant implications for both the reaction process and reactor design. Additionally, we conducted comparative experiments between the supercritical water gasification process and the pyrolysis process to explore the advantages of supercritical water gasification.
Long-Term Exposure to PM2.5 and Mortality: A Cohort Study in China
Authors: Hu Jingjing , Yu Luhua , Yang Zongming , Qiu Jie , Li Jing , Shen Peng , Lin Hongbo , Shui Liming , Tang Mengling , Jin Mingjuan , Chen Kun , Wang Jianbing
Published: August 2023

We investigated the association of long-term exposure to atmospheric PM2.5 with non-accidental and cause-specific mortality in Yinzhou, China. From July 2015 to January 2018, a total of 29,564 individuals aged ≥ 40 years in Yinzhou were recruited for a prospective cohort study. We used the Cox proportional-hazards model to analyze the relationship of the 2-year average concentration of PM2.5 prior to the baseline with non-accidental and cause-specific mortality. The median PM2.5 concentration was 36.51 μg/m3 (range: 25.57–45.40 μg/m3). In model 4, the hazard ratios per 10 μg/m3 increment in PM2.5 were 1.25 (95%CI: 1.04–1.50) for non-accidental mortality and 1.38 (95%CI:1.02–1.86) for cardiovascular disease mortality. We observed no associations between PM2.5 and deaths from respiratory disease or cancer. In the subgroup analysis, interactions were observed between PM2.5 and age, as well as preventive measures on hazy days. The observed association between long-term exposure to atmospheric PM2.5 at a relatively moderate concentration and the risk of non-accidental and cardiovascular disease mortality among middle-aged and elderly Chinese adults could provide evidence for government decision-makers to revise environmental policies towards a more stringent standard.
Effects of Air Pollution Exposure during Preconception and Pregnancy on Gestational Diabetes Mellitus
Authors: Cao Lei , Diao Ruiping , Shi Xuefeng , Cao Lu , Gong Zerui , Zhang Xupeng , Yan Xiaohan , Wang Ting , Mao Hongjun
Published: August 2023

This study aimed to investigate the association between air pollution and gestational diabetes mellitus (GDM) in small- and medium-sized cities, identify sensitive periods and major pollutants, and explore the effects of air pollution on different populations. A total of 9820 women who delivered in Handan Maternal and Child Health Hospital in the Hebei Province from February 2018 to July 2020 were included in the study. Logistic regression and principal component logistic regression models were used to assess the effects of air pollution exposure during preconception and pregnancy on GDM risk and the differences in the effects across populations. The results suggested that each 20 μg/m3 increase in PM2.5 and PM10 exposure during preconception and pregnancy significantly increased the risk of GDM, and a 10 μg/m3 increase in NO2 exposure during pregnancy was also associated with the risk of GDM. In a subgroup analysis, pregnant women aged 30–35 years, nulliparous women, and those with less than a bachelor’s education were the most sensitive groups. This study provides evidence for an association between air pollution and the prevalence of GDM, with PM2.5, PM10, and NO2 as risk factors for GDM.
Comparative Assessment of the Toxicity of Brominated and Halogen-Free Flame Retardants to Zebrafish in Terms of Tail Coiling Activity, Biomarkers, and Locomotor Activity
Authors: Rialto Taisa Carla Rizzi , Marino Renan Vieira , Abe Flavia Renata , Dorta Daniel Junqueira , Oliveira Danielle Palma
Published: August 2023

BDE-47, a flame retardant that is frequently detected in environmental compartments and human tissues, has been associated with various toxic effects. In turn, information about the effects of aluminum diethyl-phosphinate (ALPI), a halogen-free flame retardant from a newer generation, is limited. This study aims to assess and compare the toxicity of BDE-47 and ALPI to zebrafish by analyzing the tail coiling, locomotor, acetylcholinesterase activities, and oxidative stress biomarkers. At 3000 µg/L BDE-47, the coiling frequency increased at 26–27 h post-fertilization (hpf), but the burst activity (%) and mean burst duration (s) did not change significantly. Here, we considered that the increased coiling frequency is a slight neurotoxic effect because locomotor activity was impaired at 144 hpf and 300 µg/L BDE-47. Moreover, we hypothesized that oxidative stress could be involved in the BDE-47 toxicity mechanisms. In contrast, only at 30,000 µg/L did ALPI increase the catalase activity, while the motor behavior during different developmental stages remained unaffected. On the basis of these findings, BDE-47 is more toxic than ALPI.
Long COVID Complicated by Fatal Cytomegalovirus and Aspergillus Infection of the Lungs: An Autopsy Case Report
Authors: Krivosikova Lucia , Kuracinova Tereza , Martanovic Peter , Hyblova Michaela , Kaluzay Jozef , Uhrinova Alexandra , Janega Pavol , Babal Pavel
Published: August 2023

After the acute phase of COVID-19, some patients develop long COVID. This term is used for a variety of conditions with a complex, yet not fully elucidated etiology, likely including the prolonged persistence of the virus in the organism and progression to lung fibrosis. We present a unique autopsy case of a patient with severe COVID-19 with prolonged viral persistence who developed interstitial lung fibrosis complicated by a fatal combination of cytomegalovirus and Aspergillus infection. SARS-CoV-2 virus was detected at autopsy in the lungs more than two months after the acute infection, although tests from the nasopharynx were negative. Immune dysregulation after COVID-19 and the administration of corticoid therapy created favorable conditions for the cytomegalovirus and Aspergillus infection that were uncovered at autopsy. These pathogens may represent a risk for opportunistic infections, complicating not only the acute coronavirus infection but also long COVID, as was documented in the presented case.
Mathematical Modeling of Oncolytic Virus Therapy Reveals Role of the Immune Response
Authors: Guo Ela , Dobrovolny Hana M.
Published: August 2023

Oncolytic adenoviruses (OAds) present a promising path for cancer treatment due to their selectivity in infecting and lysing tumor cells and their ability to stimulate the immune response. In this study, we use an ordinary differential equation (ODE) model of tumor growth inhibited by oncolytic virus activity to parameterize previous research on the effect of genetically re-engineered OAds in A549 lung cancer tumors in murine models. We find that the data are best fit by a model that accounts for an immune response, and that the immune response provides a mechanism for elimination of the tumor. We also find that parameter estimates for the most effective OAds share characteristics, most notably a high infection rate and low viral clearance rate, that might be potential reasons for these viruses’ efficacy in delaying tumor growth. Further studies observing E1A and P19 recombined viruses in different tumor environments may further illuminate the extent of the effects of these genetic modifications.
Pleiotropic Effects of Influenza Vaccination
Authors: Hjelholt Astrid Johannesson , Bergh Cecilia , Bhatt Deepak L. , Fröbert Ole , Kjolby Mads Fuglsang
Published: August 2023

Influenza vaccines are designed to mimic natural influenza virus exposure and stimulate a long-lasting immune response to future infections. The evolving nature of the influenza virus makes vaccination an important and efficacious strategy to reduce healthcare-related complications of influenza. Several lines of evidence indicate that influenza vaccination may induce nonspecific effects, also referred to as heterologous or pleiotropic effects, that go beyond protection against infection. Different explanations are proposed, including the upregulation and downregulation of cytokines and epigenetic reprogramming in monocytes and natural killer cells, imprinting an immunological memory in the innate immune system, a phenomenon termed “trained immunity”. Also, cross-reactivity between related stimuli and bystander activation, which entails activation of B and T lymphocytes without specific recognition of antigens, may play a role. In this review, we will discuss the possible nonspecific effects of influenza vaccination in cardiovascular disease, type 1 diabetes, cancer, and Alzheimer’s disease, future research questions, and potential implications. A discussion of the potential effects on infections by other pathogens is beyond the scope of this review.
Theoretical and methodological review of the modern drug market
Authors:   I. M. Sechenov First Moscow State Medical University, Shakhovskiy Т. О. , Vyatkina N. Yu. ,   I. M. Sechenov First Moscow State Medical University; Financial University under the Government of the Russian Federation, Moscow
Published: August 2023

The aim of the study is to research the possibilities of developing an intelligent drug search system. In order to do this, the statutes and regulations in the field of circulation of medicines in the Russian Federation have been studied; a comparative analysis of the search capabilities of popular digital services for the sale of medicines has been carried out. The object of the study is a system of drug search through digital services. The subject of study is the features of the functioning of systems of drug search through digital services. According to the authors’ hypothesis, the introduction of an intelligent drug search system will allow improving the search for certified drugs and enhancing user experience.
XVI. Yüzyıl Şairlerinden Behiştî’de Dil ve Üslûp
Authors: ARSLAN Hacer
Published: August 2023

Klasik Türk edebiyatı yaklaşık altı asır kendine has edebî zevki ve estetik kaygısı ile hüküm sürmüş belli kuralları ve çizgisi olan köklü bir gelenektir. Bu gelenek içerisinde var olmaya ve dikkat çekmeye çalışan klasik şairler en güzel şiiri en özgün biçimde söyleme arayışına girmiş, daha önce söylenmeyen mana ve mazmunu yetkin ve özgün bir üslûpla dile getirmeyi şiar edinmişlerdir. Klasik şairin şairlik gücünü ve yeteneğini gösterebilmesi şahsına münhasır üslûbuna bağlı ve kendisine has bir dil geliştirip üslup oluşturmasında gizlidir. Bu çalışmada XVI. yüzyıl şairlerinden Behiştî’nin dil ve üslûp özelliği ön plana çıkarılmış; dil ve üslûp özelliklerinden sade dile temayülü, halk söylemine, mahallî unsurlara yer vermesiyle arkaik kelime, atasözü ve deyim kullanımı üzerinde durulmuştur.
INTEGRASI LAHAN BASAH DALAM BAHAN AJAR BIPA SEBAGAI OPTIMALISASI PEMBELAJARAN BAHASA INDONESIA BAGI MAHASISWA ASING
Authors: Karolina  , Rizky Amelia  , Noor Eka Chandra
Published: August 2023

Bahan ajar BIPA yang relevan dengan kehidupan mahasiswa asing merupakan kesempatan untuk memperkenalkan lingkungan lahan basah kepada mahasiswa asing yang berkuliah di Kalimantan Selatan. Salah satu tujuan dari integrasi lahan basah ini yaitu untuk mengoptimalisasikan pembelajaran bahasa Indonesia karena pembelajaran yang diberikan merupakan pembelajaran kontekstual. Pentingnya mengetahui persepsi pengguna suatu bahan ajar merupakan salah satu bagian dari pengembangan dan evaluasi sebuah bahan ajar. Sehingga, penelitian ini berupaya menjawab tiga rumusan masalah yang berfokus pada optimalisasi pembelajaran Bahasa Indonesia bagi mahasiswa asing yaitu 1. bagaimana pentingnya keberadaan bahan ajar BIPA dalam pembelajaran Bahasa Indonesia bagi mahasiswa asing dan pengajar BIPA, 2. bagaimana sebuah bahan ajar yang ideal bagi mahasiswa asing dan pengajar BIPA, dan 3. bagaimana integrasi bahan ajar BIPA dengan lingkungan lahan basah. Penelitian ini merupakan penelitian kualitatif dengan populasi seluruh mahasiswa asing pada Universitas Lambung Mangkurat dan seluruh pengajar BIPA, sedangkan partisipan pada penelitian yaitu sembilan (9) mahasiswa asing pada Universitas Lambung Mangkurat dan lima (5) pengajar BIPA di Kalimantan Selatan yang bersedia untuk menjawab angket berisi 12 pertanyaan yang diberikan melalui Google Forms dan bersedia diwawancara. Hasil penelitian menunjukkan bahwa pertama ketersediaan bahan ajar merupakan komponen yang diperlukan dalam pembelajaran. Kedua, bahan ajar BIPA berbasis lingkungan lahan basah ini memuat teks bahan ajar yang relevan yang berkaitan dengan kebahasaan dan pemakaian Bahasa Indonesia secara kontekstual dan nyata. Ketiga, pengemasan bahan ajar tentang kehidupan di Banjarmasin dengan menggunakan basis lingkungan lahan basah merupakan kolaborasi yang sangat tepat sebagai bentuk sumbangsih pendidikan terhadap keberlangsungan lingkungan dengan konsentrasi lahan basah.
Expert System for Diagnosing Cerebral Palsy in Children with the Case Based Reasoning Method
Authors: Antoni Rio
Published: August 2023

The rampant influence of technology certainly has positive and negative impacts on the increasingly complex development of health sciences and diseases. Technology in the field of computerization has been widely used in various lines of life. Technology is very helpful in various aspects of life, with the existence of technology humans can create various tools to facilitate human work. Cerebral Palsy is a disease or disorder that often occurs in today's development. Cerebral Palsy is not a fatal disease but a condition that affects the body, its treatment and treatment can help regulate its effects on the body. An expert system is a system that adopts human knowledge to a computer that combines basic knowledge with an inference system to replace the function of an expert in solving a problem. advances in expert systems can overcome this problem by designing a Desktop-based computer system that uses the Java programming language and MySQL database so that it can help users to diagnose disease. Various methods can be used to build expert systems, one of which is the Case Based Reasoning method. Where the process of calculating Case Based Reasoning compares new cases with old cases and divides them into four stages, namely retrieve, reuse, revise and retain, to get the results of the type of disease suffered by the patient in the form of a percentage. In this expert system, the system will ask questions like a patient is having a dialogue with an expert. Then, select yes for symptoms that are felt and no for symptoms that are not felt. The system will make a diagnosis based on the patient's symptoms. Diagnostic results include the type of Cerebral Palsy experienced and treatment options as well as the percentage of patients likely to suffer from the disease
Text and Instruction Necessary for the Facilitation of EFL Reader’s Predictive Inference Generation
Authors: MAEDA Masahiro
Published: August 2023

Inference generation is necessary for reading to understand stories. However, it may be difficult for English as a Foreign Language (EFL) readers to generate inferences owing to their limited cognitive resources that are mostly used in lower-level processing such as lexical and syntactical analysis. Predictive inference, which facilitates readers’ context processing and construction of a situational model, can be challenging for EFL readers to produce during reading. This study focuses on textual conditions and teacher’s task instructions to suggest the appropriate text choices and task instructions to help EFL readers produce predictive inferences. Two story versions (High-predictability Target vs. Control) and two different instructions (Predict the end of the story vs. Memorize the names of characters) were compared using recall rates. The findings indicated that the combination of a high-predictability target story with instructions to predict the end of the story would be the most effective pair for predictive inference.
RESULTS OF THE USE OF POLYVALENT BACTERIOPHAGES IN THE TREATMENT OF INFECTIOUS COMPLICATIONS IN EMERGENCY ABDOMINAL SURGERY
Authors: Parshin Dmitry , Mykhaylichenko Vyacheslav , Kupriyanov Alexander , Alibekov Ramazan , Mardanov Rustam , Kеrimov Enver , Puchkina Galina , Bezrukov Oleg , Abdullaev Araz
Published: August 2023

We comparatively studied the results of treatment of 86 patients with surgical infectious complications after cavitary intra-abdominal operations for emergency abdominal diseases. In the main group, treatment was supplemented with polyvalent bacteriophages. We studied integral scales for assessing the severity of patient’s condition of (APACHE II, ACI, ASEPSIS), microbial pattern, enteral morphofunctional coefficient, levels of alkaline phosphatase and intestinal alkaline phosphatase, and indicators of cellular immunity. The results of the study show that complex treatment including polyvalent bacteriophages in postoperative purulent-inflammatory complications in urgent surgery reduces the development of antibiotic-resistant strains, as well as the risk of nosocomial microbial wound associations. Enteral application of polyvalent bacteriophages in patients with acute intestinal failure syndrome normalizes microbial enteral imbalance and the level of pathogens contamination of the small intestine. Supplementing the treatment of postoperative abdominal purulent-inflammatory complications with phage therapy can reduce the number of surgical interventions, as well as the treatment duration and mortality.
The effect of climate and soil microorganisms on plants growth-defence strategies
Authors:   , Formenti Ludovico
Published: August 2023

Unlike most other living organisms on this planet, plants are immobile. Given their sessile nature, plants are unable to escape from stressors, thus plants face enormous environmental pressures. One way, plants cope with environmental stress, both at the biotic and abiotic level, is by finely allocating resources into different functions, among which the majors are growth and defence. Despite the rising research focus on this matter, a global understanding of the eco-evolutionary processes responsible for plant resources allocation into growth and defence is still vague. Soil-borne microbes, which include bacteria and fungi, are promising candidates to alleviate such environmental stress acting on plants. The omnipresence of microbes and their long co-evolutionary history with plants qualify them as extremely valuable for plant life. Due to the microbes’ dual function in enhancing plant productivity and defence against herbivores, across ecological gradients, plants may associate with specific microbes to obtain distinct benefits. The thesis presented here is an attempt to shed light on how plants interact with microorganisms across changing environments. The thesis is composed of three major goals. First, I investigated and dissected the interaction of root-associate microbes (RAMs) and climate in shaping Plantago major growth and defence phenotype across an elevation gradient at the intraspecific level (Chapters I and II). I found that climatic conditions regulate P. major growth traits, while defensive traits where rather genetically fixed (Chapter I). Subsequently, I found that local elevation RAMs promoted the growth of Plantago major populations, while chemical defences were overall higher when low elevation microbes were present (Chapter II). Finally, in Chapter III, I unravelled macro-evolutionary trends in plant colonization levels of arbuscular mycorrhizal fungi (AMF) and the resulting plant growth and defence responsiveness. To do this, I compared 24 species of Plantago L. in a common environment with and without AMF. I found that plant interspecific variation in AMF colonization, and growth and defence plant responsiveness to AMF were driven by both plant's evolutionary history and climatic niche convergence at different levels (Chapter III). My thesis enhanced our understanding of how plants strategically respond to variation in environmental conditions by diverting resources into growth or defence in the presence of soil-borne beneficial microorganisms. The novelty of combining both climatic and biotic factor influencing both plants growth and defence at different scales of life organization may inspire further and deeper investigation on how plant locally adapt to biotic and abiotic conditions across ecosystems.
PRÉ-REQUISITOS NA CRIAÇÃO DE SISTEMAS DE GESTÃO DE DESEMPENHO PARA MODELOS DE NEGÓCIOS CIRCULARES
Authors: Santolin Rodrigo Bruno
Published: August 2023

A Economia Circular surgiu para substituir o conceito de fim e vida dos materiais e prolongar a vida útil dos produtos. Dentro dessa nova economia, os Sistemas de Gestão de Desempenho (SGDs) para auxiliar Modelos de Negócios Circulares (MNCs) ainda estão em estágio embrionário. Como eles têm focado principalmente na dimensão de Criação de Valor, relegando às demais dimensões a um segundo plano, se faz necessária uma nova abordagem holística e integradora. Essa abordagem deve considerar as três dimensões de valor de um MNC: Criação de Valor, Transferência de Valor e Captura de Valor. Logo, este trabalho se propõe a elencar os pré-requisitos para se avançar em direção a criação de SGDs alinhados às três dimensões dos MNCs. Para isso, faz uso de uma extensiva revisão da literatura como fonte de dados. Os resultados são apresentados e classificados ao nível estratégico, gerencial, de métricas e de metas. Com isso, é possível se elencar os pré-requisitos de um desenho de SGD para MNCs. Dessa forma, a circularidade pode ser alcançada e o setor empresarial avançar em direção a essa nova economia.
CORAIS DO PROJETO PRELÚDIO
Authors: Lanzoni Pablo Alberto , Correa Soares Iuri , Britos Ferreira Eduardo
Published: August 2023

Este artigo apresenta os resultados parciais de pesquisa que analisou a trajetória do Coro Infantil do Projeto Prelúdio entre 1993 e 2002 através do exame de 100 partituras das músicas que circularam no grupo naquele período e que constituíram parte significativa do repertório musical executado pelo grupo. A metodologia utilizada foi a análise documental e a categorização baseada na análise de conteúdo. Os procedimentos metodológicos consistiram na coleta e reunião das partituras, organização do material coletado em formato digital, catalogação das partituras e análise. Durante a catalogação, foram construídas categorias de informações constantes nas partituras que serviram também de base para o processo de análise. As categorias analisadas foram: 1) concepção: identificação sobre a originalidade da obra para coro ou de arranjo; 2) traços de autoria: identificação de compositores; 3) arranjadores: identificação de arranjadores; 4) técnica de escrita: identificação das diferentes formações de vozes; 5) tonalidades: identificação das tonalidades das músicas, quando aplicável; 6) idiomas: identificação dos idiomas dos textos cantados; 7) acompanhamento instrumental: se o repertório sugere acompanhamento de instrumentos. A análise revelou tendências no repertório, tais como a predominância pela escolha de arranjos musicais em relação a composições originais, a expressiva quantidade de composições originais para coro, a predominância de repertório polifônico e também de músicas entendidas como música tonal.
IMPACTO DA PANDEMIA DA COVID-19 NAS MICROEMPRESAS DE PANIFICAÇÃO
Authors: Scapini Daiane , Storti Adriana Troczinski , Grzybovski Denize
Published: August 2023

A pandemia de Covid-19 provocou incertezas e alterou o cenário econômico, a sustentabilidade das empresas e o mapa da fome no Brasil, obrigando empresários a revisarem suas práticas de gestão. Maior impacto foi sentido nas pequenas empresas comparativamente às grandes, em razão do volume de capital de giro disponível num contexto de instabilidade no mercado. O objetivo da pesquisa foi compreender os impactos da pandemia na gestão de uma microempresa que atua no segmento de panificação, em Erechim/RS, analisando as principais mudanças organizacionais decorrentes da conjuntura pandêmica à luz da gestão estratégica. É uma pesquisa exploratória desenvolvida pela estratégia de estudo de caso único e abordagem qualitativa dos dados. Os resultados indicam que o principal impacto foi na revisão da estratégia empresarial, alterando de crescimento para sobrevivência organizacional por meio do fechamento de uma das suas lojas. Outro impacto foi na administração financeira, inicialmente revisando os custos operacionais e reduzindo o quadro de funcionários e cortando gastos desnecessários. O terceiro impacto foi na gestão estratégica de marketing por meio da postura proativa do empreendimento no mercado de atuação e aumento do portfólio de produtos com vistas a atender diferentes perfis de consumidores. O caso analisado ensina que, ao reconhecerem as transformações em curso no contexto pandêmico, os empreendedores precisam repensar a estrutura organizacional e implementar novas estratégias, de modo a buscar meios de sobrevivência com inovação. Inovação na gestão de microempresas em contexto de restrição de recursos são cada vez mais necessárias para manter as atividades empresariais.
Artificial Neural Network with 3-Port Dc-Dc Converter Based Energy Management Scheme in Sustainable Energy Sources
Authors:   Assistant Professor, Department of Electrical and Electronics Engineering, Maria College of Engineering and Technology, Attoor (Tamil Nadu), India., Jeba J Evangelin , Rajesh C. R. ,   Assistant Professor, Department of Electrical and Electronics Engineering, CSI Institute of Technology, Thovalai (Tamil Nadu), India.
Published: August 2023

In micro grids, energy management is referred to as an information and control system that offers the essential functionality to ensure that the energy supply from the generation and distribution systems occurs at the lowest possible operational cost. Energy management systems (EMS) support distributed energy resource utilization in micro grids, especially when variable generation and pricing are present. In this paper, an Artificial Neural Network (ANN)-based energy management approach for a hybrid wind, solar and Battery Storage System (BSS) is presented. To sustain the DC voltage, a 3 Port DC-DC Converter is also proposed. While renewable energy systems have numerous advantages, one of the challenges they face is the intermittency of power generation, leading to fluctuations in the power supply to the grid. Therefore, EMS aims to reduce these variations. Another goal is to maintain the battery state of charge (SOC) within the allowed ranges to extend the battery life. The implementation is carried out in Simulink/Matlab platform. To demonstrate the efficacy of the suggested approach, we compare the Total Harmonic Distortion (THD) of the proposed controller (1.52%) with that of conventional controllers, including the ZSI-based PID controller (3.05%), PI controller (4.02%), and FO-PI (3.32%) controller.
Differential Evolution Algorithm for Coordination of SVC Modules in MV Distribution Systems
Authors:   Department of Electrical Engineering, Jazan University, Jazan, Saudi Arabia., Moustafa Ghareeb
Published: August 2023

This paper proposes a new strategy based on the differential evolution algorithm to optimize the performance of distribution networks through the optimal coordination of Static VAR Compensator modules (SVCs). Installation costs minimization and savings maximization due to reducing power losses are merged in one multi-objective function. In order to investigate the influences of varying loading conditions, various regular loadings are further combined. This framework implemented on a 37-bus real feeder connected to the Egyptian Unified Network (EUN). The findings of the simulation reveal evident technical and economical characteristics of the proposed algorithm. The reactive power compensation using SVCs based on the pro-posed scheme leads to major quality improvements of the entire nodes’ voltage with variations of loads. Especially, in light loading condition, the SVCs control their performance characteristics according to the reactive power demands in the adjacent nodes.
تجليات عناصرالخطاب السردي فيسورة يونس
Authors: حیاوی طالبة الدكتوراه إلهام , ابراهیمیکاوری الأستاذ المساعد الدكتور صادق
Published: August 2023

الملخص: الرواية القرآنية تعني: التعريف بعقد القلب والحواس، وما يتحرك في الإنسان اللغوي في جميع المستويات النحوية النحوية. لأن القرآن "في كل سورة وآية، وفي كل بداية ونهاية، يتميز بأسلوب واحد هو الثابت. فمكونات الخطاب السردي في القصة القرآنية كثيرة، تنقص أو تزيد حسب طبيعة كل قصة. في قصة يونس (ع) مكونات الروايات المختلفة سردها في الإيقاع ودرجات التكرار ومعنى المعنى، وبعض مستويات السرد، وطريقة مختلفة في بناء الشخصية، وفعالية الأدوات، ثم الزمن وعناصره. التجليات، تجمع هذه السورة ثلاث قصص، قصة نوح، وقصة موسى فرعون، وقصة يونس (ع) بين آنيته، وقد تم تحليل هذه القصة تحليلاً شاملاً وبناءً على مستويين: مستوى القصة (Histoire) الخطاب).لقد قسم علماء الأدب الخطاب أو الشكل إلى ثلاثة محاور رئيسية هي: الرؤية السردية، والصيغة، والزمن السردي. ويأتي هذا البحث الذي يستمد أصوله من السرديات، لدراسة هذه المستويات البلاغية، كاشفا عن النموذج السردي، مما يزيد من جودة النص، من خلال دراسة تأثير هذه المستويات، في أربعة جوانب رئيسية للنص: الجانب الإيقاعي، والجانب الزمني، والجانب الشخصي، والجانب الزمني؛ ومن خلال تقديم دراسة تطبيقية، من خلال تحليل الآية القرآنية والمنهج الذي اعتمدناه في هذا المقال هو المنهج الوصفي التحليلي..
الدور الريادي لتقنية السبورة الذكية في النهج التعليمي
Authors: زاده طالب الدكتوراه عبدالعزيز , جادري الدكتوره سهاد
Published: August 2023

واستخدام التكنولوجيا الذكية؛ كانت المساواة في الوصول إلى العلوم لكل متلقي ومن أي فئة عمرية وسرعة استخدام التكنولوجيا لمواكبة التطورات العلمية التي تحدث لعالمنا الحالي عواقب إيجابية وطويلة المدى على السكان المتعلمين طالبًا أو طالبًا جامعيًا . تغيير أسلوب الاستلام إن معرفة المتلقي يجب أن نجدد نظرتنا لنسبة الإمكانيات المعدة على شكل تكامل الصوت والصور الحية؛ أو وسائل التواصل الاجتماعي لأن الصوت والصورة يتركان أثرا حقيقيا ويحفران في ذهن طالب العلم في أي مرحلة من مراحله. ولهذا كان لا بد من التفرد بموضوع التكنولوجيا الحديثة ومنها السبورة الذكية وفوائدها. والهدف من هذا البحث هو التعرف على مكانتها التقنية والتفاعلية في التعليم وتأثيرها الإيجابي على المتلقي (الصوت والصورة). ومزاياها الإيجابية طويلة الأمد والتي تتلخص في السبورة الذكية كنموذج للقياس في التعليم التقليدي. وأبرز مميزات وفوائد استخدام البلاك بورد هي: • - سرعة إيصال المعلومات إلى ذهن المتلقي • - إيصال كم لا نهائي من المعلومات إلى المتعلم • - استخدام بدائل جديدة لرمي المعلومات عبر الصوت والفيديو • التكافؤ الفني مع متطلبات العصر • - الدور التفاعلي والفعال للمتلقي والمستقبل مع السبورة الذكية وفي الختام يختتم البحث بالنقاط الإيجابية التي قدمها المتلقي
دراسة انعكاس القرآن في قصائد مجد الإسلام أحمد محرم (دراسة حالة : غزوة بدر - غزوة أحد
Authors: وردنجانی طالبة الدكتوراه ملیحه , معصومی الدكتور محمد , غضنفری الأستاذ المساعد الدكتور سید
Published: August 2023

تعد دراسة تأثير الشعراء على النصوص الأخرى من أكثر فئات الأدب جاذبية. الإجماع هو أحد المناظرات الأدبية التي تتناول تشابه النص وتأثيره في النصوص الأخرى. يمتلك مجد الإسلام محمد محرم، من خلال تأثير القرآن واكتمال إسناده القرآني، العديد من العناصر والعلاقات المتبادلة التي يمكن دراستها فيما يتعلق بمنهج الانسجام. تناولت هذه الدراسة غزوة بدر ومعركة أحد في شعر أحمد محرم في ضوء تأثير القرآن الكريم. وأظهرت نتائج البحث أن العلاقات بين النصوص في الآيات القرآنية وأشعار أحمد محرم تكون في بعض الحالات مثل: الموضوع، ونوع المفاهيم المشفرة، والمفردات نسبيا.
دلالات سؤال العنوان في شعر محمود درويش
Authors: مزعل الأستاذ المساعد الدكتور خالد , مشكور المدرس المساعد مازن
Published: August 2023

تناولت الدراسة ظاهرة منهجية تتسم بالتفرد والحداثة في الشعر العربي الحديث والمعاصر، وهي أن عنوان النص يقدم على شكل سؤال. وكاد الشاعر الكبير محمود درويش ينفرد بهذه الظاهرة الأسلوبية. هدفت الدراسة إلى دراسة المظاهر الدلالية للعناوين، والعلاقة الجدلية بين العنوان والنص. وقد توصل الباحث إلى أنماط متنوعة من أسئلة العنوان، التي ارتبطت دلاليا بالنص، إذ أدرجت في النصوص الشعرية، كنقطة محورية تولدها النص كما في القصيدة (حلم، ما هو؟)، كما وردت في سرد ​​سيرتي الشعرية (لماذا تركت الحصان وشأنه؟)، في حين جاء في نفس السياق السردي لتصوير الواقع المنهار والمتفكك، ليطرح في قصيدتي سؤال الوجود والحرية (كم مرة انتهى أمرنا...) و (لم يسألوا: ماذا وراء الموت؟) وعلى هذا الأساس تم تحليل القصائد للكشف عن المظاهر الدلالية لسؤال العنوان.
مظاهر التنازع في النحو العربي بين النظرية والأداء اللغوي
Authors: مقدادي الأستاذ المشارك الدكتور   سميح
Published: August 2023

مسألتان من قواعد النحو العربي، باب الخلاف يتعلقان بما يلي: أولا: هل تتنازع معه النحاة الذين تكلموا في اللغة على مستوى الأداء؟ أم أنها من حطام النظرية النحوية؟ ويحاول الباحث أن يثبت أنه لا يخالف اللغة. ثانياً: هل يقتصر الخلاف في النظرية النحوية العربية على ما عند النحاة؟ أم هو مظهر آخر؟ ويحاول الباحث إثبات وجود مظاهر التعارض في النحو العربي خارجة عما عند النحويين. يتكون البحث من الإعداد والتقديم، ثم ستة محاور يناقش كل واحد منها مظهراً من مظاهر الصراع في النحو العربي.
Acceptance of Products Derivatives Açai Kernels by the Metropolitan Region of Belém- Pa for Academic Community
Authors: Barbosa Adria Gabriely Feio , Miranda Renato Souza de , Carvalho Josué de Lima , Nunes Raquel Soares Casaes , Ferreira Ynis Cristine de Santana Martins Lino , Sobrinho Mário Vasconcelos
Published: August 2023

Açai is one of the most consumed foods by the population of Pará, but it generates waste that is not disposed of correctly, which may lead to some socio-environmental impacts. The aim of the present study was to verify the purchase intention of açai seed products by the academic community residing in the metropolitan region of Belém. The research was carried out from May to July 2021 through an electronic form available on the Google Forms platform where the Likert scale was used in the responses, bringing a qualitative and quantitative aspect that presents the following steps: bibliographical research, application of essays and treatment of data using Microsoft Excel ® as a tool for descriptive analysis. The female gender was the respondents in most of the ears. In general, most testimonial participants fully agreed that they perceived the irregular disposal of açai seeds as a deposit on the streets. In the perception of the participants, the main social environments caused by the açai seed are visual smoke, the excess of the seed in rainy seasons and the smoke from watercourses. It is concluded that there was a broad and generalized understanding on the part of the academic community about the situation of the inappropriate disposal of açai seeds, the suggested products made from the stone and açai are accepted by the female and male community of the city of Belém