bluuebunny/crossref_metadata_2025 huggingface dataset:
Doctrine and Change in Western Dogmatics: The Examples of Michael Seewald and Kevin J. Vanhoozer
Authors: Borowski Michael
Published: April 2023

This paper argues that there is some ambiguity in Western conservative dogmatics on how much change and development is conceptually possible. It hence explores the potential for change within trends of Christianity related to conservative doctrine, arguing that the authority of doctrine is not as static as often perceived. To make this case, this paper (1) argues that both dogma and doctrine refer to somewhat binding beliefs, hence representing forces that ensure continuity in Western conservative dogmatics—forces that can be assessed only with regards to the faith traditions they stem from. By way of example, this paper (2) summarizes some perspectives on those concepts, as well as the potential for change, in the recent works of two Western theologians (i.e., the work of the German Roman Catholic theologian Michael Seewald and the US-American Evangelical theologian Kevin J. Vanhoozer).
Assessment of Virtual Water Flows in Morocco’s Foreign Trade of Crop Products
Authors: Boudhar Abdeslam , Boudhar Said , Oudgou Mohamed , Ibourk Aomar
Published: April 2023

As a semi-arid/arid country located in the northwest of Africa, Morocco is facing serious water scarcity driven by the dual stresses of decreasing availability of water resources and increasing water demands. Virtual water trade could be an effective tool to alleviate water scarcity. The paper presents an analysis of the relationships between agrarian productions, foreign trade, and the water sector in Morocco by deriving a comprehensive estimate of virtual water export and import in Morocco’s foreign trade of 40 crop products during the period from 2000 to 2017. Our objectives include determining the intensity of water consumption of exported and imported crop products and quantifying the water consumed and saved, respectively, by locally producing and importing these products. To this end, FAO’s Penman-Monteith climate model was used to estimate crop water requirements based on data on meteorological factors. The results show that Morocco was a net virtual water importer during the study period. The deficit was 595.74 Gm3. The tendency of total virtual water export was on a rising trend, while the total virtual water import was on a downward trend. The main exported virtual water was from vegetables (68.87 Gm3, 72.47%) and the main imported virtual water was from cereals (679.68 Gm3, 98.4%). Regarding crop product’s water intensity, we found that the exported crop products were excessively concentrated on water-intensive products such as mandarins and clementines, figs, oranges, apricots, plums, citrus fruits, olives, tomatoes, asparagus, peas, and artichokes. On the other hand, the agricultural policy of 2009–2020 increased the production of water-intensive products. This finding seems to be going against the virtual water trade theory, which states that water-poor countries should import water-intensive products and produce local products with lower water requirements.
An Automotive LiDAR Performance Test Method in Dynamic Driving Conditions
Authors: Park Jewoo , Cho Jihyuk , Lee Seungjoo , Bak Seokhwan , Kim Yonghwi
Published: April 2023

The Light Detection and Ranging (LiDAR) sensor has become essential to achieving a high level of autonomous driving functions, as well as a standard Advanced Driver Assistance System (ADAS). LiDAR capabilities and signal repeatabilities under extreme weather conditions are of utmost concern in terms of the redundancy design of automotive sensor systems. In this paper, we demonstrate a performance test method for automotive LiDAR sensors that can be utilized in dynamic test scenarios. In order to measure the performance of a LiDAR sensor in a dynamic test scenario, we propose a spatio-temporal point segmentation algorithm that can separate a LiDAR signal of moving reference targets (car, square target, etc.), using an unsupervised clustering method. An automotive-graded LiDAR sensor is evaluated in four harsh environmental simulations, based on time-series environmental data of real road fleets in the USA, and four vehicle-level tests with dynamic test cases are conducted. Our test results showed that the performance of LiDAR sensors may be degraded, due to several environmental factors, such as sunlight, reflectivity of an object, cover contamination, and so on.
Evaluating Gait Impairment in Parkinson’s Disease from Instrumented Insole and IMU Sensor Data
Authors: Tsakanikas Vassilis , Ntanis Adamantios , Rigas George , Androutsos Christos , Boucharas Dimitrios , Tachos Nikolaos , Skaramagkas Vasileios , Chatzaki Chariklia , Kefalopoulou Zinovia , Tsiknakis Manolis , Fotiadis Dimitrios
Published: April 2023

Parkinson’s disease (PD) is characterized by a variety of motor and non-motor symptoms, some of them pertaining to gait and balance. The use of sensors for the monitoring of patients’ mobility and the extraction of gait parameters, has emerged as an objective method for assessing the efficacy of their treatment and the progression of the disease. To that end, two popular solutions are pressure insoles and body-worn IMU-based devices, which have been used for precise, continuous, remote, and passive gait assessment. In this work, insole and IMU-based solutions were evaluated for assessing gait impairment, and were subsequently compared, producing evidence to support the use of instrumentation in everyday clinical practice. The evaluation was conducted using two datasets, generated during a clinical study, in which patients with PD wore, simultaneously, a pair of instrumented insoles and a set of wearable IMU-based devices. The data from the study were used to extract and compare gait features, independently, from the two aforementioned systems. Subsequently, subsets comprised of the extracted features, were used by machine learning algorithms for gait impairment assessment. The results indicated that insole gait kinematic features were highly correlated with those extracted from IMU-based devices. Moreover, both had the capacity to train accurate machine learning models for the detection of PD gait impairment.
Biomimetic Approaches for Human Arm Motion Generation: Literature Review and Future Directions
Authors: Trivedi Urvish , Menychtas Dimitrios , Alqasemi Redwan , Dubey Rajiv
Published: April 2023

In recent years, numerous studies have been conducted to analyze how humans subconsciously optimize various performance criteria while performing a particular task, which has led to the development of robots that are capable of performing tasks with a similar level of efficiency as humans. The complexity of the human body has led researchers to create a framework for robot motion planning to recreate those motions in robotic systems using various redundancy resolution methods. This study conducts a thorough analysis of the relevant literature to provide a detailed exploration of the different redundancy resolution methodologies used in motion generation for mimicking human motion. The studies are investigated and categorized according to the study methodology and various redundancy resolution methods. An examination of the literature revealed a strong trend toward formulating intrinsic strategies that govern human movement through machine learning and artificial intelligence. Subsequently, the paper critically evaluates the existing approaches and highlights their limitations. It also identifies the potential research areas that hold promise for future investigations.
River Chief Information-Sharing System as a River Information Governance Approach in China
Authors: Zhang Xiaomeng , Wang Wei , Yu Wenmeng , Shen Dajun , Zhang Tingting
Published: April 2023

Controling river water pollution is one of the complex ecoenvironmental challenges facing China’s development today. The river chief information-sharing system (RCISS) in China is an institutional innovation carried out by the government to promote collaborative water governance in the era of big data. In order to explore the mechanism of the RCISS in China, this paper analyzed this system by establishing a theoretical analysis framework from the perspective of government data governance. Using this framework, this paper discussed the mechanism, institutional context and driving forces of the current river chief information-sharing system. Provincial-level practices of the RCISS were then analyzed in terms of information content, information transmission paths, intelligent platform and practice achievements, and finally the advantages and problems of the RCISS were summarized. The conclusions were drawn as follows: the river chief information-sharing system has huge advantages regarding the coordinated management of rivers, but there are problems regarding the imbalanced sharing of power among subjects and also disputes in terms of information security, fairness, authenticity and legality. This study provides insights into the operation of the RCISS and serves as a reference for other countries seeking a suitable solution to manage water environments.
Examination of Polymer Blends by AFM Phase Images
Authors: Werner Enrico , Güth Uwe , Brockhagen Bennet , Döpke Christoph , Ehrmann Andrea
Published: April 2023

Atomic force microscopy (AFM) belongs to the high-resolution surface morphology investigation methods. Since it can, in many cases, be applied in air, samples can more easily be inspected than by a scanning electron microscope (SEM). In addition, several special modes exist which enable examination of the mechanical and other physical parameters of the specimen, such as friction, adhesion between tip and sample, elastic modulus, etc. In tapping mode, e.g., phase imaging can be used to qualitatively distinguish between different materials on the surface. This is especially interesting for polymers, for which the evaluation by energy-dispersive X-ray spectroscopy (EDS) is mostly irrelevant. Here we give an overview of phase imaging experiments on different filaments used for 3D printing by fused deposition modeling (FDM). Furthermore, the acrylonitrile butadiene styrene (ABS), especially different poly(lactide acids) (PLAs) with special features, such as thermochromic or photochromic properties, are investigated and compared with SEM images.
A Systematic Review: Is Porcine Kobuvirus Causing Gastrointestinal Disease in Young Pigs?
Authors: Eriksen Esben Østergaard
Published: April 2023

Since porcine kobuvirus (PKV) was first described in 2008, researchers have speculated whether the virus is of clinical importance. This systematic literature review answers the question: Is porcine kobuvirus a cause of gastrointestinal disease in young pigs? A case-control study showed that PKV was not associated with neonatal diarrhea. A cohort study suffered from a very small sample size (n = 5), and in an experimental trial, the effect of PKV inoculation could not be separated from the effect of being inoculated with porcine epidemic diarrhea virus. In 13 poorly defined observational studies, more than 4000 young pigs had been assigned a diarrhea status and their feces analyzed for PKV. Unfortunately, the studies lacked well-characterized unbiased samples, and thus the strongest possible inference from these studies was that a very strong association between PKV and diarrhea is unlikely. PKV was commonly detected in non-diarrheic pigs, and this could indicate that PKV is not a sufficient cause in itself or that reinfection of individuals with some immunological protection due to previous infections is common. Conclusively, there is a lack of good evidence of PKV being a cause of gastrointestinal disease, but the sparse available evidence suggests that PKV is of limited clinical importance.
Assisted Reproductive Technologies (ARTs) in Domestic Mammals
Authors: Ruiz Salvador , Gardón Juan Carlos , Miró Jordi
Published: April 2023

As guest editors, we are pleased to present this Special Issue entitled “Assisted Reproductive Technologies (ARTs) in Domestic Mammals”, comprising 10 articles of relevant interest in the field of animal reproduction [...]
Organization of cost accounting and costing of camel products
Authors:   Federal State Budgetary Educational Institution of Higher Education «Stavropol State Agrarian University», Stavropol, Russia, Kostyukova E. I. , Tatarinova M. N. ,   Federal State Budgetary Educational Institution of Higher Education «Stavropol State Agrarian University», Stavropol, Russia
Published: April 2023

The issues of organizing the accounting process in the camel breeding industry have been little studied today, this is a rather exotic industry for Russia. The article reveals the specific features of the industry that affect the organization of cost accounting. A model of production cost accounting is proposed. An algorithm for calculating the cost of the main types of products is considered and a form of management reporting for the camel breeding industry is presented.
Analysis of structural shifts in agriculture based on agricultural censuses
Authors:   Moscow Timiryazev Agricultural Academy, Moscow, Russia, Kozlov K. A. , Ukolova A. V. ,   Moscow Timiryazev Agricultural Academy, Moscow, Russia
Published: April 2023

Based on the data of agricultural censuses, an analysis was made of the structure of indicators for various categories of farms. The key result of the work is the characterization of the number of census objects, structural changes in crop production and animal husbandry. An attempt was made to determine the current role and significance of farm categories in the structure of agricultural production.
Nuclear Parity — Objective Stability Factor of Multipolar World
Authors:   Department of Russian History of the XX–XXI Centuries, Faculty of History, Moscow State University, M. V. Lomonosov, Russia, Grishaeva Lidiya Evgenievna
Published: April 2023

The article studies the phenomenon of nuclear parity, which serves as a guarantee of preventing a new war at the nuclear level. The author reveals the essence and traces the process of the formation of nuclear parity between the leading nuclear powers — the USA and the USSR/Russia. The author convincingly shows that at present nuclear parity is undergoing significant erosion due to the US desire to dominate in the military-strategic field, which upsets the existing balance of forces in the world and leads to destabilization of the international situation. The author reveals such concepts as "nuclear club" and "nuclear triad". The author pays special attention to NATO, rightly pointing out that Russia is concerned not only by its territorial expansion, but by the desire of the United States to deploy nuclear weapons in NATO member countries in Europe near Russia's borders, which poses a threat to its security. As a result, the author comes to the conclusion that US nuclear hegemony is unacceptable, but only leads to a new round of the arms race, including tactical nuclear weapons. Nuclear parity, according to the author, is an objective factor that makes up the stability of a multipolar world without global wars.
El cuidado humanizado de enfermería, una necesidad de la praxis profesional
Authors: Santos Holguín Sonnia Apolonia , Lascano Espinoza Carmen Obdulia
Published: April 2023

La enfermería como disciplina ha encauzado razonablemente el sustento epistemológico del cuidado, centrándolo en tal medida, que en sus propias complejidades puede ser apreciado desde variados enfoques, cuyo núcleo es y siempre será el sujeto que cuida, sin desatender al que es cuidado y el aspecto humanizado que lo acompaña. Objetivo. Determinar el comportamiento del cuidado humanizado de enfermería como una necesidad de la praxis profesional. Métodología. Se desarrolló un estudio cualitativo con un enfoque teórico descriptivo, respaldado por la consulta de fuentes bibliográficas seleccionadas mediante el empleo de criterios de inclusión y exclusión. Analizando el tema sobre la visualización de la atención humanizada de enfermería, como una conexión integra y justa brindada a partir de la primera interacción con el paciente y su entorno sin importar su condición. Por lo general, las investigaciones consultadas refieren resultados satisfactorios respecto al cuidado humanizado, no obstante, es válido resaltar que aún prevalecen insuficiencias al respecto, toda vez que, dadas las propias características del ser humano, demandan la necesidad de una atención y una práctica humanizada en las relaciones con enfermeros/as. Conclusión. Finalmente, el estudio realizado permite apreciar diversidad de criterios respecto a la conceptualización del cuidado humanizado, así como la necesidad de delimitar dimensiones bien definidas, hasta la fecha esbozadas parcialmente, aspecto que representa además una de las limitantes del presente estudio.
Colecistectomía laparoscópica ambulatoria, una realidad actual
Authors: Pastor Romero Sebastián Alejandro , Villacres Salazar Walter Omar , Almendariz Carrillo Marco Alejandro , Hoyos Ontaneda Carolina Estefanía
Published: April 2023

La cirugía ambulatoria ha ido evolucionando y abarcando cada día procedimientos quirúrgicos más complejos, incluso la colecistectomía laparoscópica, actualmente considerada como la cirugía de elección para el tratamiento de la patología biliar, se puede realizar de manera ambulatoria gracias a los avances en técnicas quirúrgicas y anestésicas que actuales. Objetivo. Determinar la viabilidad y aceptación del procedimiento dentro de la practica ambulatoria mediante una revisión de la literatura actual sobre los protocolos de colecistectomía laparoscópica ambulatoria existentes. Metodología. Se realizó una revisión sistemática de la literatura, basado en la declaración PRISMA para ajustar la información obtenida en las diferentes bases científicas disponibles utilizando los descriptores relacionados con colecistectomía laparoscópica ambulatoria y cirugía del día enfocándose en aquellos registros sobre el tema, su conceptualización y puesta en marcha. De esta manera se identificaron 118 registros en las diferentes bases de datos consultadas. Tras la aplicación de criterios de inclusión se separaron 56 artículos de los cuales finalmente se utilizaron 11 registros para la revisión. Conclusión. La colecistectomía laparoscópica es segura y eficaz, siempre y cuando se realice la estatificación correcta del paciente a beneficiarse. No hay diferencia significativa entre los diferentes anestésicos utilizados durante el procedimiento, el anestésico subdérmico no mejora el tiempo de recuperación por dolor postoperatorio. La valoración protocolizada del postquirúrgico es vital para el alta hospitalaria.
MAPNEWS: A Framework for Aggregating and Organizing Online News Articles
Authors: Ahmed Jeelani , Ahmed Muqeem
Published: April 2023

In recent years, digital news has become increasingly prevalent, with many people getting their news and information from online sources rather than traditional print or broadcast media. This shift has been driven, in part, by the convenience and accessibility of digital platforms, as well as the ability to personalize and customize news feeds. Digital news also allows for greater interactivity and engagement with readers and can reach a global audience almost instantly. News articles contain a plethora of hidden spatial information that, when shared with readers, increases comprehension of current events. Only a few news aggregation systems make this information available to users. Many stories, on the other hand, are not clearly geotagged with their spatial information. In this work, we propose the MapNews framework, a novel system that gathers, analyzes, and presents news articles on a map interface, allowing users to take advantage of their underlying spatial information. MapNews pulls content from several different internet news sources and, using a custom-built geotagger, it extracts geographic content from articles. A rapid online clustering method is used to organize articles into story clusters. Panning and zooming MapNews' map interface allows readers to receive news based on geographic location and category importance, and they will view distinct articles depending on their location. MapNews achieved an ARI score of 0.89 for clustering and an accuracy of 95% in usability testing
Incorporating Triple Attention and Multi-scale Pyramid Network for Underwater Image Enhancement
Authors: Sun Kaichuan , Tian Yubo
Published: April 2023

: Clear images are a prerequisite of high-level underwater vision tasks, but images captured underwater are often degraded due to absorption and scattering of light. To solve this issue, traditional methods have shown some success, but often generate unwanted artifacts for knowledge priori dependency. In contrast, learning-based approaches can produce more refined results. Most popular methods are based on an encoder-decoder configuration for simply learning the nonlinear transformation of input and output images, so their ability to capture details is limited. In addition, the significant pixel-level features and multi-scale features are often overlooked. Accordingly, we propose a novel and efficient network that incorporates triple attention and a multi-scale pyramid with an encoder-decoder architecture. Specifically, a triple attention module that captures the channel-pixel-spatial features is used as the transformation of the encoder-decoder module to focus on the fog region; then, a multi-scale pyramid module designed for refining the preliminary defog results are used to improve the restoration visibility. Extensive experiments on the EUVP and UFO-120 datasets corroborate that the proposed method outperforms the state-of-the-art methods in quantitative metrics Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), Patch-based Contrast Quality Index (PCQI) and visual quality.
A Method of Extracting Malware Features Based on Gini Impurity Increment and Improved TF-IDF
Authors: Sun Shimiao , Liu Yashu
Published: April 2023

In recent years, the quantities and types of malwares have grown explosively, which bring many challenges to identify and detect them. In order to improve the identification efficiency of malicious code, a malicious code feature representation method based on feature dimension reduction is proposed. By fusing the Gini impurity increment and the Improved Term Frequency-Inverse Document Frequency algorithm (ITF-IDF), ΔGini-Improving Term frequency inverse document frequency (ΔGini-ITFIDF) method is presented, which can get more valuable assembly instruction features for family detection. ΔGini-ITFIDF standardizes the assembly instructions of the PE disassembly files, then, measures the two indicators of the expected error rate increment and weight of the malicious code assembly instruction features, and obtains more valuable features to identify malicious codes. The experimental results show that the classification accuracy of the ITF-IDF algorithm is significantly improved compared with the ITF-IDF algorithm. At the same time, ΔGini-ITFIDF can effectively improve the classification performance.
Generative Adversarial Networks with Data Augmentation and Multiple Penalty Areas for Image Synthesis
Authors: Chen Li , Chan Huah Yong
Published: April 2023

The quality of generated images is one of the significant criteria for Generative Adversarial Networks (GANs) evaluation in image synthesis research. Previous researches proposed a great many tricks to modify the model structure or loss functions. However, seldom of them consider the effect of combination of data augmentation and multiple penalty areas on image quality improvement. This research introduces a GAN architecture based on data augmentation, in order to make the model fulfill 1-Lipschitz constraints, it proposes to consider these additional data included into the penalty areas which can improve ability of discriminator and generator. With the help of these techniques, compared with previous model Deep Convolutional GAN (DCGAN) and Wasserstein GAN with gradient penalty (WGAN-GP), the model proposed in this research can get lower Frechet Inception Distance score (FID) score 2.973 and 2.941 on celebA and LSUN towers at 64×64 resolution respectively which proves that this model can produce high visual quality results.
Human Facial Emotion Recognition using Deep Neural Networks
Authors: S Benisha , TT Mirnalinee
Published: April 2023

Humans experience a plethora of different, confusing and nearly indiscernible emotions. Interpreting and understanding these emotions is a rewarding challenge as they play an important role in developing and maintaining interpersonal relationships. Hence, extracting and understanding emotions is paramount to the interaction and communication between human and machine. This understanding aids applications such as brand humanization, sales, advertising and marketing by helping to gauge the response of existing or prospective clients, medical industry, e-learning, law enforcement, automatic counseling system, drunk-driving detection, pain or stress detection, brand value analysis from consumer reactions and the entertainment industry, social interactions and facilitate rational decision making and perception. The recognition of facial emotion is quite difficult problem since there will be a variation of same emotion of single person owing to occlusion, illumination, aging, pose, gender etc. This paper proposes a deep learning model to detect the seven basic emotion classes. The dataset used are CK+, JAFFE and it achieves higher accuracy when compared to the existing approaches.
A Hybrid Grey Wolf-Whale Optimization Algorithm for Classification of Corona Virus Genome Sequences using Deep Learning
Authors: Murugaiah Muthulakshmi , Ganesan Murugeswari
Published: April 2023

Genome sequence data is widely accepted as complex data and is still growing in an exponential rate. Classification of genome sequences plays a crucial role as it finds its applications in the area of biology, medical and forensics etc. For classification, Genome sequences can be represented in terms of features. More number of less significant features leads to lower accuracy in classification task. Feature selection addresses this issue by selecting the most important features which aids to improve the accuracy and lessens the computational complexity. In this research, Hybrid Grey Wolf-Whale Optimization Algorithm (HGWWOA) is proposed for Genome sequence classification. The proposed algorithm is evaluated using 23 benchmark objective functions along with Convolutional Neural Network classifier and its efficiency is verified using a novel metric namely “Feature Reduction Rate”. The proposed optimization algorithm can be applied for any optimization problems. In this research work, the proposed algorithm is used for classification of Corona Virus genome sequences. Performance comparison of the proposed and existing algorithms was carried out and it is evident that the performance of proposed algorithm exceeds the previous algorithms with an accuracy of 98.2%.
Exploring the perception and satisfaction of students about role-play method in nursing education
Authors: Tran Thi Nguyet , Tran Thi Hang , Nguyen Thi Anh Phuong
Published: April 2023

Introduction: Role-play is an effective teaching strategy that helps students obtain the essential skills to be suitable for future careers. Objectives: 1. Exploring the perception of nursing students about the role-play method. 2. Surveying satisfaction of nursing students about role-play method. Methodology: A descriptive cross-sectional study, combining quantitative and qualitative on 156 2nd nursing students at Hue University of Medicine and Pharmacy. Assessing perception of role-play by 20 questions on a 5-point Likert scale and in-depth interview to find out student’s awareness; Satisfaction of role-play was assessed by the Learning Satisfaction scale consisting of 9 questions on a 5-point Likert scale. Results: Most students had a positive perception of the role-play method, accounting for 85.9%; increasing effective learning, helping self-development, and enhancing connection are the points that students like the most from this method. Besides that, internal factors from students and external factors from situations and scenarios of lessons are obstacles that students face with the role-play method. Students are quite satisfied with the role-play method, reaching 3.5 ± 0.5 points, which students are satisfied because this subject is effective in acquiring communication skills, reaching the highest level (3.7 ± 0.6 points). Conclusion: Students had a positive perception and were quite satisfied with the role-play method. It is necessary to maintain and upgrade the widespread adoption of role-play as an active and effective teaching strategy in nursing education.
Key words: role-play, perception, learning satisfaction, nursing student.
Quality of life assessment on non-small cell lung cancer patients treated by molecular targeted therapy
Authors: Ho Duy Binh , Nguyen Thi Vu Linh , Phung Phuong , Phan Thi Do Quyen , Ho Xuan Dung
Published: April 2023

Introduction: Lung cancer is the leading cause of cancer death worldwide and in Vietnam. Among lung cancer cases, non-small cell lung cancer (NSCLC) accounts for approximately 85%. Most patients are diagnosed at the advanced stage, hence systemic therapy plays a crucial role to increase survival time. Targeted therapy is now the standard of care for NSCLC with TKIs sensitive mutations because of its efficacy and tolerability. The study of QoL in these groups of patients remains limited in Vietnam. Objectives: To evaluate the quality of life in patients with non-small cell lung cancer (NSCLC) being treated by targeted therapy and to determine the factors that affect the quality of life (QOL). Methodology: A descriptive study was conducted on 55 non-small cell lung cancer patients being treated at the Hue Central Hospital and the Hue University of Medicine and Pharmacy Hospital from 6/2021 to 8/2022. The EORTC QLQ-C30 was used to assess the quality of life. Evaluation of the quality of life by descriptive statistics. The linear regression test was used to determine the correlated factor. Results: The mean age of the group of patients was 66.6 ± 9.9. The global health scale was 55.8 ± 12.6 which was found to be related to the level of depression DASS21 (p < 0.01). In the functional scale, the cognitive function had the highest score (84.2 ± 14.8), and the lowest was social function items (42.4 ± 18.9). The function score was found to be correlated to the disease duration (p < 0.05) and DASS21 (p < 0.01) Less common symptoms were constipation and nausea. The most prominent symptoms were loss of appetite and fatigue. The symptom score was related to the disease duration (p = 0.02) and DASS21 (p < 0.01). In terms of financial impact, the mean score was 41.2 (± 38.5), related to the residence (p = 0.04), occupation (p = 0.04), and economic condition (p = 0.01). Conclusion: The global health QoL score was quite high in NSCLC patients treated with molecular targeted therapy. The residence, occupation, economic conditions, duration of illness, and DASS21 were associated with the QoL of patients.
Key words: non-small cell lung cancer, quality of life, molecular targeted therapy, EORTC QLQ_C30, advanced stage.
Effectiveness of mobile application for wound assessment in nursing students, University of Medicine and Pharmacy, Hue University
Authors: Ho Thi Thuy Trang , Vo Thi Diem Binh , Nguyen Thi Anh Phuong , Duong Thi Hong Lien , Ho Duy Binh
Published: April 2023

Introduction: Wound care is a major health issue that influences the health and quality of life of patients. Wound assessment is an essential task to perform an accurate diagnosis and to select a suitable treatment. The purpose of the study is to assess the effect of a digital application for wound assessment among nursing students. Methodology: This was a quasi-experimental study performed at Hue University of Medicine and Pharmacy, from January to August 2022. 99 third-year nursing students were included in this study. A questionnaire about wound care competence and the effectiveness of using wound assessment
applications was used. Descriptive statistics and content analysis were utilized in this study. Results: There was no difference between the wound care capacity between the control group and the intervention group, but there was a difference in wound care capacity between the time before and after the intervention. The effectiveness of using mobile apps in wound assessment is average. Conclusion: It is necessary to strengthen the capacity of applying digital technology in health care for nursing students.
Key words: wound assessment, digital application, nursing student, quasi-experimental study.
Coastal Dwarf Forest, the New Phytosociological Unit or the Enlargement of Current Syntaxa?
Authors: Liu Biying , Wang Yi , Chen Zhihui , Zhou Ting , Peng Shaolin
Published: April 2023

The classification of a plant community is of important local and global implications to its study. However, as a unique plant community, coastal dwarf forest constitutes a new vegetation unit that remains to be determined, which resulted in related research scattered and not systematic. Based on the documentary analysis and field investigation, this study tried to reveal the nonrecognized dwarf forest formations of the coastal, presented its particularity in terms of geographical distribution, habitat characteristics, community structure on a global scale, and argued that it was a worldwide, stable, postsuccessional ecosystem that is outside the current vegetation classification system. This result could help to find the most suitable solution for the creation of new phytosociological units or enlargement of the current syntaxa.
Eubacterium rectale
Improves the Efficacy of Anti-PD1 Immunotherapy in Melanoma via
l
-Serine-Mediated NK Cell Activation
Authors: Liu Nian , Chen Lihui , Yan Mingjie , Tao Qian , Wu Jie , Chen Jing , Chen Xiang , Zhang Wei , Peng Cong
Published: April 2023

Natural killer (NK) cells, as key immune cells, play essential roles in tumor cell immune escape and immunotherapy. Accumulating evidence has demonstrated that the gut microbiota community affects the efficacy of anti-PD1 immunotherapy and that remodeling the gut microbiota is a promising strategy to enhance anti-PD1 immunotherapy responsiveness in advanced melanoma patients; however, the details of the mechanism remain elusive. In this study, we found that
Eubacterium rectale
was significantly enriched in melanoma patients who responded to anti-PD1 immunotherapy and that a high
E. rectale
abundance was related to longer survival in melanoma patients. Furthermore, administration of
E. rectale
remarkably improved the efficacy of anti-PD1 therapy and increased the overall survival of tumor-bearing mice; moreover, application of
E. rectale
led to a significant accumulation of NK cells in the tumor microenvironment. Interestingly, conditioned medium isolated from an
E. rectale
culture system dramatically enhanced NK cell function. Gas chromatography–mass spectrometry/ultrahigh performance liquid chromatography–tandem mass spectrometry-based metabolomic analysis showed that
l
-serine production was significantly decreased in the
E. rectale
group; moreover, administration of an
l
-serine synthesis inhibitor dramatically increased NK cell activation, which enhanced anti-PD1 immunotherapy effects. Mechanistically, supplementation with
l
-serine or application of an
l
-serine synthesis inhibitor affected NK cell activation through Fos/Fosl. In summary, our findings reveal the role of bacteria-modulated serine metabolic signaling in NK cell activation and provide a novel therapeutic strategy to improve the efficacy of anti-PD1 immunotherapy in melanoma.
In Situ Sustained Macrophage-Targeted Nanomicelle–Hydrogel Microspheres for Inhibiting Osteoarthritis
Authors: Li XiaoXiao , Li Xingchen , Yang Jielai , Du Yawei , Chen Liang , Zhao Gang , Ye Tingjun , Zhu Yuan , Xu Xiangyang , Deng Lianfu , Cui Wenguo
Published: April 2023

There are still challenges in applying drug nanocarriers for in situ sustained macrophage targeting and regulation, due to the rapid clearance of nanocarriers and burst drug release in vivo. Herein, a nanomicelle–hydrogel microsphere, characterized by its macrophage-targeted nanosized secondary structure that allows it to accurately bind to M1 macrophages through active endocytosis, is employed for in situ sustained macrophage targeting and regulation, and addresses the insufficient osteoarthritis therapeutic efficacy caused by rapid clearance of drug nanocarriers. The 3-dimensional structure of a microsphere can prevent the rapid escape and clearance of a nanomicelle, thus keeping it in joints, while the ligand-guided secondary structure can carry drugs to accurately target and enter M1 macrophages, and release drugs via the transition from hydrophobicity to hydrophilicity of nanomicelles under inflammatory stimulation inside the macrophages. The experiments show that the nanomicelle–hydrogel microsphere can in situ sustainably target and regulate M1 macrophages for more than 14 days in joints, and attenuate local “cytokine storm” by continuous M1 macrophage apoptosis promotion and polarization inhibition. This micro/nano-hydrogel system shows excellent ability to sustainably target and regulate macrophage, realizes the improvement of drug utilization and efficacy inside the macrophage, and thereby can be a potential platform for treating macrophage-related diseases.
Analysis of Urine Sediment Images for Detection and Classification of Cells
Authors: ATICI Hilal , KOCER H. Erdinç , SİVRİKAYA Abdullah , DAGLİ Mehmet
Published: April 2023

Urine sediment tests are important in the diagnosis of abnormal diseases related to the urinary tract. The formation of cells such as red blood cells and white blood cells in the urine of patients is important for the diagnosis of the disease. Therefore, cells need to be fully identified in clinical urinalysis. Urinalysis with human eyes; Since it is subjective, time consuming and causing errors, methods have been developed to automate microscopic analysis with the help of computer and software systems. In this study, the YOLO-v7 algorithm, which gives successful results in image processing technology, was used as a method and model. The dataset used in the study was created by using microscopic images of urine sediment taken from the Biochemistry Laboratory of the Faculty of Medicine, Selcuk University. Seven different cell segmentation and classification studies have been carried out, including WBC, RBC, WBCC, Epithelial, Flat Epithelial, Mucs and Bubbles, which have clinical value for the diagnosis of the disease. Experimental studies were carried out with the YOLO-v7 algorithm and the results were presented. The contributions of this study can be summarized as follows. (1) In this study, which is proposed for segmentation of cells on the urine cell images in the Urine Sediment dataset, for the experimental studies carried out with the YOLO model, whose performance was evaluated; Precision, Recall, mAP(0.5) and F1-Score(%) segmentation performance metrics were calculated as 0.384, 0.759, 0.432 and 0.510, respectively. (2) A computer-aided support system to assist physicians in segmenting urine cells is presented as a secondary tool. Classification accuracy for WBC, RBC, WBCC, Epithelial, Flat Epithelial, Mucs and Bubbles cells was calculated as 0.78, 0.94, 0.90, 0.57, 0.92, 0.68 and 0.97, respectively. A mean classification success of 0.822 was achieved for all classes. Thus, it has been seen that the Yolov7 model can be used by experts as a tool for recognizing cells in the urine sediment. As a result, it has been shown that suitable deep learning models can be used to recognize the biometric properties of urinary sediment cells. With the model created using deep learning libraries, urine sediment cells can be easily classified, and it is possible to define many different cells if there is a dataset with sufficient number of images.
Analisis Video Pembelajaran Simbol Pancasila Melalui Aplikasi Canva Kelas 1 SDN Plamongansari 02
Authors: Ahlul Mufid Himayanti  , Muhammad Prayito  , Joko Sulianto  , Sri Wikyuni
Published: April 2023

Education is an important element in human life. various technological developments participate in the role of education. the use of technology is important to convey information as a learning medium. Processlearning is an arrangement of elements, including people, materials, facilities, equipment, and processes, which interact and communicate with each other to achieve learning objectives. From this study is to convey learning by utilizing video editing applicationCanva on learning the symbols of Pancasila. in this study, carried out by qualitative methods through observation and interviews. Pancasila symbols made using the Canva application. Learning Pancasila symbols through learning videos made with applicationsCanva effective for increasing students' understanding of Pancasila values. Students are more interested and easy to understand learning material when it is presented in an interesting and interactive video. Learning Pancasila symbols through videolearning made with Canva can be an effective choice to increase students' understanding of Pancasila values. The results of this study can be used as recommendations for teachers to develop more innovative and interesting learning media to increase learning effectiveness.
 
Pendidikan merupakan unsur penting dalam kehidupan manusia.  berbagai perkembangan teknologi ikut serta dalam peran pendidikan.  pemanfaatan teknologi menjadi hal penting untuk menyampaikan informasi sebagai media pembelajaran.  Proses pembelajaran adalah susunan unsur-unsur, termasuk orang, bahan, fasilitas, peralatan, dan proses, yang saling berinteraksi dan berkomunikasi untuk mencapai tujuan pembelajaran..  tujuan dari kajian ini adalah untuk menyampaikan pembelajaran dengan memanfaatkan aplikasi edit video Canva pada pembelajaran simbol-simbol Pancasila.  dalam kajian ini, dilakukan dengan metode kualitatif melalui observasi dan wawancara.  simbol-simbol Pancasila yang dibuat menggunakan aplikasi canva. Pembelajaran simbol-simbol Pancasila melalui video pembelajaran yang dibuat dengan aplikasi Canva efektif untuk meningkatkan pemahaman siswa tentang nilai-nilai Pancasila. Siswa lebih tertarik dan mudah memahami materi pembelajaran ketika disajikan dalam bentuk video yang menarik dan interaktif.pembelajaran simbol-simbol Pancasila melalui Video pembelajaran yang dibuat dengan Canva dapat menjadi pilihan efektif untuk meningkatkan pemahaman siswa terhadap nilai-nilai Pancasila . Hasil kajian ini dapat dijadikan rekomendasi bagi para guru untuk mengembangkan media pembelajaran yang lebih inovatif dan menarik untuk meningkatkan efektivitas pembelajaran.
The Impact of Transliterative Deductive Method (Hud-Hud) and the Native Arabic Speakers on the Foreign Speakers: A Pilot Study
Authors:   Universiti Putra Malaysia, Selangor, Malaysia, Saad Fathinul Fikri , Ahmed Omar
Published: April 2023

There are few studies on the influence of the native Arabic speakers in enhancing the understanding among subjects residing in non-Arabic speaking language utilizing the deductive method in mediating teaching. The study aimed at evaluating the influence of the native speaker on the effectiveness of the “Hud-Hud” deductive teaching style among the non-Arabic speaking in Malaysia. The study was conducted on a selected group of urbanized Malaysians subjects (n=30), who were dichotomized into the control group (n=15) and the test group (n=15). All subjects underwent a-60-hour elementary Arabic teaching programme utilizing the "Hud-Hud – deductive" method taught by a local (Malay) speaker. Two Arabic native speakers had provided additional teaching guide to the test group before a series of test performances were conducted. The results showed that the younger age subjects (age < 40 years) had a significantly higher score than the elder age group (mean; 2.04±0.404 vs. 1.59±0.97; p<0.05). The test group subjects had significantly higher rubric scores than the control group (mean; 0.62±0.16 vs. 0.59± 0.50; p<0.05). Moreover, there was significantly higher rubric score achieved among subjects who had previous Arabic teaching exposure (mean; 2.04±0.404 vs. 1.59±0.97; p<0.05). The native speakers are the potential predictive marker in ensuring the effectiveness of the deductive “Hud-Hud" teaching for the foreign in the non-Arabic speaking country.
The Fusion of Onyms: on the Issue of the Formation of Telescopic Proper Nouns
Authors: Streltsov Alexey
Published: April 2023

The article deals with proper names formed by means of blending, i.e. merging two or more words, at least one of which, in its turn, is a proper name – an onym. It is stated that words formed in this way are mainly English, but they also occur in

Russian, German and French, although to a much lesser extent. All blended onyms can be divided into several groups, of which the most numerous are anthroponyms (baby-names, fused names and / or surnames of married couples, combined names

of characters, concocted by fans, etc.) and toponyms. This way of merging proper names is especially popular in the United States – in particular, names for groups of states and border-towns. Despite the predominance of English-language examples in

general, there are some blended nicknames in Russian, many of which are facetious, or even derogatory. A relatively small number of blended onyms are names of enterprises and organizations, trademarks, and objects of material culture. We were the

first to single out a separate group – names of holidays. The most common is the fusion of clipped stems of one or both words, although there are cases of overlapping and insertion, as well as blends formed of three stems. This paper will be of interest

to both lexicologists, since it deals with the issues of word formation and specialists in the field of onomasiology, since the research is focused on proper names.
«Simple» («Non-Sstyle») Word in the Metarealism of the Russian Diaspora: Poetics of Dmitry Dragilev (Berlin)
Authors: Seifert Elena
Published: April 2023

The purpose of the article is to comprehend the «simple word» in metarealistic poetics. The material is the lyrics of Dmitry Dragilev (the poet was born in1970 in Riga, lives in Berlin). The native (Russian) language of a Russian author who is abroad absorbs the numerous realities of the actuality surrounding the poet. The author of the article relies on the structural-descriptive method. A «simple» («non-style») word in Dragilev’s metarealistic poetics reacts sharply to a context enriched with metaphors, often developing into a metaphor, acquiring a different meaning that does not belong to it, sometimes without losing its direct

meaning. A «simple» word is interesting to the poet and its sound shell, goes beyond the limits of the language game, in rare cases it grows into a metametaphor poem. Being slang or vernacular, the «simple» word loses its stylistic humiliation and is rapidly enriched due to the context. German, Latvian, English words by

Dragilev not only participate in the creation of macaronicisms, but also expand the metaphorical space of the poem to polylingual infinity. The macaronicism verses of the Berlin poet go beyond the limits of metarealistic poetics, and in them

the potential burlesque nature of the «simple» word is preserved and developed.

The «non-style» word is imperceptible in metarealistic poetics, because it quickly merges with its other elements, becoming like them.
L’ora libera a scuola? Esiste e ha diversi nomi
Authors: De Vecchis Kevin
Published: April 2023

Alcuni lettori e alcune lettrici chiedono delucidazioni su quale sia la forma corretta da utilizzare tra ora buca, ora buco, ora di buca e ora di buco per indicare l’ora in cui una classe o un insegnante sono “liberi” dalla lezione e quale sia il plurale in caso di più ore.