bluuebunny/crossref_metadata_2025 huggingface dataset:
Utility of High-Sensitivity Modified Glasgow Prognostic Score in Cancer Prognosis: A Systemic Review and Meta-Analysis
Authors: Wu Tsung-Hsien , Tsai Yao-Te , Chen Kuan-Yin , Yap Wing-Keen , Luan Chih-Wei
Published: January 2023

The suitability of the high-sensitivity modified Glasgow Prognostic Score (HS-mGPS) in cancer patients remains unknown. We performed a systematic database search from 1 January 2010 to 30 September 2022, in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Selected studies reported the HS-mGPS and survival outcomes in cancer patients. The association between the HS-mGPS and survival outcomes was evaluated using a random-effects model and expressed as pooled hazard ratios (HRs) with 95% CIs. This meta-analysis evaluated 17 studies with a total of 5828 cancer patients. A higher HS-mGPS was found to be associated with an adverse OS (HR = 2.17; 95% CI: 1.80–2.60), DSS (HR = 3.81; 95% CI: 2.03–7.17), and DFS (HR = 1.96; 95% CI: 1.48–2.58; all p ≤ 0.001). The prognostic value of the HS-mGPS for the OS trended in a consistent direction after subgrouping and sensitivity analysis. In conclusion, the HS-mGPS serves as a valid prognostic biomarker for cancer patients, with a high HS-mGPS associated with adverse survival outcomes.
Investigating the Photodissociation Dynamics of CF2BrCF2I in CCl4 through Femtosecond Time-Resolved Infrared Spectroscopy
Authors: Park Seongchul , Shin Juhyang , Lim Manho
Published: January 2023

The photodissociation dynamics of CF2BrCF2I in CCl4 at 280 ± 2 K were investigated by probing the C−F stretching mode from 300 fs to 10 μs after excitation at 267 nm using time-resolved infrared spectroscopy. The excitation led to the dissociation of I or Br atoms within 300 fs, producing the CF2BrCF2 or CF2ICF2 radicals, respectively. All nascent CF2ICF2 underwent further dissociation of I, producing CF2CF2 with a time constant of 56 ± 5 ns. All nascent g-CF2BrCF2 isomerized into the more stable a-CF2BrCF2 with a time constant of 47 ± 5 ps. Furthermore, a-CF2BrCF2 underwent a bimolecular reaction with either itself (producing CF2BrCF2Br and CF2CF2) or Br in the CCl4 solution (producing CF2BrCF2Br) at a diffusion-limited rate. The secondary dissociation of Br from a-CF2BrCF2 was significantly slow to compete with the bimolecular reactions. Overall, approximately half of the excited CF2BrCF2I at 267 nm produced CF2BrCF2Br, whereas the other half produced CF2CF2. The excess energies in the nascent radicals were thermalized much faster than the secondary dissociation of I from CF2ICF2 and the observed bimolecular reactions, implying that the secondary reactions proceeded under thermal conditions. This study further demonstrates that structure-sensitive time-resolved infrared spectroscopy can be used to study various reaction dynamics in solution in real time.
Increased Hepatic ATG7 mRNA and ATG7 Protein Expression in Nonalcoholic Steatohepatitis Associated with Obesity
Authors: Barrientos-Riosalido Andrea , Real Monica , Bertran Laia , Aguilar Carmen , Martínez Salomé , Parada David , Vives Margarita , Sabench Fàtima , Riesco David , Castillo Daniel Del , Richart Cristóbal , Auguet Teresa
Published: January 2023

The autophagy gene ATG7 has been shown to be essential for the induction of autophagy, a process that used to be suppressed in nonalcoholic fatty liver disease (NAFLD). However, the specific role of ATG7 in NAFLD remains unclear. The aim of this study was to analyze hepatic ATG7 mRNA and ATG7 protein expression regarding obesity-associated NAFLD. Patients included women classified into normal weight (NW, n = 6) and morbid obesity (MO, n = 72). The second group was subclassified into normal liver (NL, n = 11), simple steatosis (SS, n= 29), and nonalcoholic steatohepatitis (NASH, n = 32). mRNA expression was analyzed by RT–qPCR and protein expression was evaluated by Western blotting. Our results showed that NASH patients presented higher ATG7 mRNA and ATG7 protein levels. ATG7 mRNA expression was increased in NASH compared with SS, while ATG7 protein abundance was enhanced in NASH compared with NL. ATG7 mRNA correlated negatively with the expression of some hepatic lipid metabolism-related genes and positively with endocannabinoid receptors, adiponectin hepatic expression, and omentin levels. These results suggest that ATG7-mediated autophagy may play an important role in the pathogenesis of NAFLD, especially in NASH, perhaps playing a possible protective role. However, this is a preliminary study that needs to be further studied.
Effect of CaO Sourced from CaCO3 or CaSO4 on Phase Formation and Mineral Composition of Iron-Rich Calcium Sulfoaluminate Clinker
Authors: Jiang Wen , Wu Changliang , Zhang Chao , Wang Xujiang , Li Yuzhong , Wu Shuang , Yao Yonggang , Li Jingwei , Wang Wenlong
Published: January 2023

The performance of iron-rich calcium sulfoaluminate (IR-CSA) cement is greatly affected by mineral composition and mineral activity in the clinker. This study aims to identify the effect of CaO sources, either CaCO3 or CaSO4, on the phase formation and mineral composition of the IR-CSA clinker. Targeted samples were prepared with different proportions of CaCO3 and CaSO4 as CaO sources at 1300 °C for 45 min. Multiple methods were used to identify the mineralogical conditions. The results indicate that the mineral composition and performance of the IR-CSA clinker could be optimized by adjusting the CaO source. Both Al2O3 and Fe2O3 tend to incorporate into C4A3−xFxS¯ with an increase in CaSO4 as a CaO source, which leads to an increased content of C4A3−xFxS¯ but a decreased ferrite phase. In addition, clinkers prepared with CaSO4 as a CaO source showed much higher x value in C4A3−xFxS¯ and higher compressive strength than clinker prepared with CaCO3 as the sole CaO source. The crystal types of both C4A3−xFxS¯ and C2S were also affected, but showed different trends with the transition of the CaO source. The findings provide a possible method to produce IR-CSA cement at a low cost through cooperative utilization of waste gypsum and iron-bearing industrial solid wastes.
Classification Approach for Attention Assessment via Singular Spectrum Analysis Based on Single-Channel Electroencephalograms
Authors: Wu Weirong , Ling Bingo Wing-Kuen , Li Ruilin , Lin Zhengjia , Liu Qing , Shao Jizhen , Ho Charlotte Yuk-Fan
Published: January 2023

Attention refers to the human psychological ability to focus on doing an activity. The attention assessment plays an important role in diagnosing attention deficit hyperactivity disorder (ADHD). In this paper, the attention assessment is performed via a classification approach. First, the single-channel electroencephalograms (EEGs) are acquired from various participants when they perform various activities. Then, fast Fourier transform (FFT) is applied to the acquired EEGs, and the high-frequency components are discarded for performing denoising. Next, empirical mode decomposition (EMD) is applied to remove the underlying trend of the signals. In order to extract more features, singular spectrum analysis (SSA) is employed to increase the total number of the components. Finally, some typical models such as the random forest-based classifier, the support vector machine (SVM)-based classifier, and the back-propagation (BP) neural network-based classifier are used for performing the classifications. Here, the percentages of the classification accuracies are employed as the attention scores. The computer numerical simulation results show that our proposed method yields a higher classification performance compared to the traditional methods without performing the EMD and SSA.
Packaging and Optimization of a Capacitive Biosensor and Its Readout Circuit
Authors: Georgas Antonios , Nestoras Lampros , Kanaris Aris Ioannis , Angelopoulos Spyridon , Ferraro Angelo , Hristoforou Evangelos
Published: January 2023

In pipeline production, there is a considerable distance between the moment when the operation principle of a biosensor will be verified in the laboratory until the moment when it can be used in real conditions. This distance is often covered by an optimization and packaging process. This article described the packaging and optimization of a SARS-CoV-2 biosensor, as well as the packaging of its electronic readout circuit. The biosensor was packed with a photosensitive tape, which forms a protective layer and is patterned in a way to form a well in the sensing area. The well is meant to limit the liquid diffusion, thereby reducing the measurement error. Subsequently, a connector between the biosensor and its readout circuit was designed and 3D-printed, ensuring the continuous and easy reading of the biosensor. In the last step, a three-dimensional case was designed and printed, thus protecting the circuit from any damage, and allowing its operation in real conditions.
Detection and Recognition Algorithm of Arbitrary-Oriented Oil Replenishment Target in Remote Sensing Image
Authors: Hou Yongjie , Yang Qingwen , Li Li , Shi Gang
Published: January 2023

In view of the fact that the aerial images of UAVs are usually taken from a top-down perspective, there are large changes in spatial resolution and small targets to be detected, and the detection method of natural scenes is not effective in detecting under the arbitrary arrangement of remote sensing image direction, which is difficult to apply to the detection demand scenario of road technology status assessment, this paper proposes a lightweight network architecture algorithm based on MobileNetv3-YOLOv5s (MR-YOLO). First, the MobileNetv3 structure is introduced to replace part of the backbone network of YOLOv5s for feature extraction so as to reduce the network model size and computation and improve the detection speed of the target; meanwhile, the CSPNet cross-stage local network is introduced to ensure the accuracy while reducing the computation. The focal loss function is improved to improve the localization accuracy while increasing the speed of the bounding box regression. Finally, by improving the YOLOv5 target detection network from the prior frame design and the bounding box regression formula, the rotation angle method is added to make it suitable for the detection demand scenario of road technology status assessment. After a large number of algorithm comparisons and data ablation experiments, the feasibility of the algorithm was verified on the Xinjiang Altay highway dataset, and the accuracy of the MR-YOLO algorithm was as high as 91.1%, the average accuracy was as high as 92.4%, and the detection speed reached 96.8 FPS. Compared with YOLOv5s, the p-value and mAP values of the proposed algorithm were effectively improved. It can be seen that the proposed algorithm improves the detection accuracy and detection speed while greatly reducing the number of model parameters and computation.
A Novel Markov Model-Based Traffic Density Estimation Technique for Intelligent Transportation System
Authors: Beenish Hira , Javid Tariq , Fahad Muhammad , Siddiqui Adnan Ahmed , Ahmed Ghufran , Syed Hassan Jamil
Published: January 2023

An intelligent transportation system (ITS) aims to improve traffic efficiency by integrating innovative sensing, control, and communications technologies. The industrial Internet of things (IIoT) and Industrial Revolution 4.0 recently merged to design the industrial Internet of things–intelligent transportation system (IIoT-ITS). IIoT sensing technologies play a significant role in acquiring raw data. The application continuously performs the complex task of managing traffic flows effectively based on several parameters, including the number of vehicles in the system, their location, and time. Traffic density estimation (TDE) is another important derived parameter desirable to keep track of the dynamic state of traffic volume. The expanding number of vehicles based on wireless connectivity provides new potential to predict traffic density more accurately and in real time as previously used methodologies. We explore the topic of assessing traffic density by using only a few simple metrics, such as the number of surrounding vehicles and disseminating beacons to roadside units and vice versa. This research paper investigates TDE techniques and presents a novel Markov model-based TDE technique for ITS. Finally, an OMNET++-based approach with an implementation of a significant modification of a traffic model combined with mathematical modeling of the Markov model is presented. It is intended for the study of real-world traffic traces, the identification of model parameters, and the development of simulated traffic.
Adaptive Discriminative Regions Learning Network for Remote Sensing Scene Classification
Authors: Tang Chuan , Zheng Xiao , Tang Chang
Published: January 2023

As an auxiliary means of remote sensing (RS) intelligent interpretation, remote sensing scene classification (RSSC) attracts considerable attention and its performance has been improved significantly by the popular deep convolutional neural networks (DCNNs). However, there are still several challenges that hinder the practical applications of RSSC, such as complex composition of land cover, scale-variation of objects, and redundant and noisy areas for scene classification. In order to mitigate the impact of these issues, we propose an adaptive discriminative regions learning network for RSSC, referred as ADRL-Net briefly, which locates discriminative regions effectively for boosting the performance of RSSC by utilizing a novel self-supervision mechanism. Our proposed ADRL-Net consists of three main modules, including a discriminative region generator, a region discriminator, and a region scorer. Specifically, the discriminative region generator first generates some candidate regions which could be informative for RSSC. Then, the region discriminator evaluates the regions generated by region generator and provides feedback for the generator to update the informative regions. Finally, the region scorer makes prediction scores for the whole image by using the discriminative regions. In such a manner, the three modules of ADRL-Net can cooperate with each other and focus on the most informative regions of an image and reduce the interference of redundant regions for final classification, which is robust to the complex scene composition, object scales, and irrelevant information. In order to validate the efficacy of the proposed network, we conduct experiments on four widely used benchmark datasets, and the experimental results demonstrate that ADRL-Net consistently outperforms other state-of-the-art RSSC methods.
Low-Cost Photoreactor to Monitor Wastewater Pollutant Decomposition
Authors: Ruiz-Flores Alberto , García Araceli , Pineda Antonio , Brox María , Gersnoviez Andrés , Cañete-Carmona Eduardo
Published: January 2023

Actually, the quality of water is one of the most important indicators of the human environmental impact, the control of which is crucial to avoiding irreversible damage in the future. Nowadays, in parallel to the growth of the chemical industry, new chemical compounds have been developed, such as dyes and medicines. The increasing use of these products has led to the appearance of recalcitrant pollutants in industrial wastewater, and even in the drinking water circuit of our populations. The current work presents a photoreactor prototype that allows the performance of experiments for the decomposition of coloured pollutants using photocatalysis at the laboratory scale. The design of this device included the study of the photometric technique for light emission and the development of a software that allows monitoring the dye degradation process. Open-source hardware platforms, such as Arduino, were used for the monitoring system, which have the advantages of being low-cost platforms. A software application that manages the communication of the reactor with the computer and graphically displays the data read by the sensor was also developed. The results obtained demonstrated that this device can accelerate the photodegradation reaction in addition to monitoring the changes throughout the process.
Organic Walnut Cultivation in Intensive and Super-Intensive System—Sustainable Investment. Case Study: Gorj County, Romania
Authors: Popa Roxana-Gabriela , Bălăcescu Aniela , Popescu Luminița Georgeta
Published: January 2023

The interest of the countries with traditions of walnut cultivation to increase the quantity and quality of walnut production is due to the fact that the organic cultivation of walnut is a sustainable business, with an ecological, economic and social impact. The walnut plant (Juglans regia) is a resource for food, dermatocosmetic and phytotherapeutic products, is raw material in the wood industry and a source of biomass. It is a species suitable for organic farming, with no chemical factors input (in line with the EU program to reduce pesticide use and fuel consumption by 35% in the context of the current energy crisis), and has properties of atmosphere purification and air-conditioning. Due to the creation of varieties with high production potential, suitable for cultivation in intensive and super-intensive plantations and also due to the government financial support, walnut plantations can contribute to the development of new valorization directions for the obtained production, by processing fruits and other vegetative organs (green nuts, green and dried shells, foliage, timber) with significant profits. In order to establish and capitalize on a walnut plantation in the pedological and climatic conditions of Romania, pedological studies, worthiness and pedoclimatic studies were carried out in the depression area of Gorj County and show the stages of cultivation technology in intensive and super-intensive systems. The sustainability and economic efficiency of setting up organic walnut cultivation has been highlighted in view of the costs for agrotechnical works, labor and material expenses. According to the analysis of the efficiency indicators, it has been shown that the establishment of an ecological walnut orchard, on an area of 1 ha, in Gorj County, Romania, is a sustainable, appropriate and opportune investment, in terms of capitalizing on the agricultural potential of the land, environmental protection and with social and economic impact.
Development of methods and means of livestock control in cattle breeding to manage the physiological state of the herd
Authors:   Federal State Budgetary Scientifi c Institution “Federal Research Center Agro Engineering All Russian Institute of Mechanization”, Russia, Moscow, Vladimirov F. E. , Bazaev S. O. ,   Federal State Budgetary Scientifi c Institution “Federal Research Center Agro Engineering All Russian Institute of Mechanization”, Russia, Moscow, Pavkin D. Yu. ,   Federal State Budgetary Scientifi c Institution “Federal Research Center Agro Engineering All Russian Institute of Mechanization”, Russia, Moscow, Yurochka S. S. ,   Federal State Budgetary Scientifi c Institution “Federal Research Center Agro Engineering All Russian Institute of Mechanization”, Russia, Moscow
Published: January 2023

Monitoring the temperature and pH of the contents of the rumen can be useful for assessing the health status and detecting physiological heat in cows. The purpose of the research was to develop methods and means of livestock control in cattle breeding to manage the physiological state of the herd based on mathematical models for detecting the heat, upcoming calving, initial signs of diseases, monitoring the level of feeding and water intake. The work was carried out under the production conditions of farms using existing hardware and software. The measurements were carried out using a non-invasive control method using special sensors-boluses designed to monitor the health of cows. Boluses were placed orally in the rumen of the cows under research. As a result of the research, algorithms and mathematical models were compiled to identify the heat, upcoming calving, diseases, as well as monitoring the level of feeding and water intake. The source data was imported from a standard file format compatible with other applications (csv table). Correlations between the temperature and pH of the rumen, as well as the motor activity of cows were also analyzed. As illustrations, graphs of the main indicators of vital activity, as well as graphs of mutually correlative functions and an illustration of the working console of the program have been given. Table of the results of the program for each cow, average values and standard deviation have been given. A mathematical model is a set of algorithms and calculation results. In order to implement it, a program code was created in the Matlab R2019b software package. This mathematical model can be used to process and interpret data placed in the animal’s rumen of measuring elements (boluses).
MATHEMATICAL MODELING OF MINING WORKINGS BY HEAVY-DUTY SALES
Authors:   Orel state University, Yuriy Nikolaevich Kamanin , Anton Valer’evich Panichkin ,   Orel state University, Pavel Aleksandrovich Kuzin ,   Orel state University, Aleksey Sergeevich Tregubov ,   Orel state University
Published: January 2023

The article provides a justification for the use of the technology of mechanized sinking of vertical mine shafts. Conclusions are drawn about the rational technological parameters of the destruction of the slaughter breast by a combined mechanical method. It is concluded that it is necessary to conduct additional experimental studies to clarify the physical constants of the rock and to apply alternative destruction criteria.
DEVELOPMENT OF AN INFORMATION MODEL WARNING THE DRIVER ABOUT MOVEMENT ALONG A DANGEROUS ROAD SECTION
Authors:   Belgorod state technological university, LiliyaEvgen’evna Kushchenko
Published: January 2023

The analysis of the statistics of road accidents on one of the sections of the road network adjacent to the core of the urban agglomeration was carried out, and the percentage ratio of the type of transport used and the number of vehicles in the family was determined using a sociological survey. According to the results of the documentary study, it was determined that Tuesday and Sunday are the most dangerous days of the week with the largest number of road accidents, as well as the most common and frequently occurring types of accidents are collisions and hitting pedestrians. On the basis of mathematical statistics and theory of probability, the correlation dependence between the proposed time ranges is established. The information model has been developed that allows warning the driver about driving on a dangerous section of the road network and using the proposed methods to improve road safety.
ASSESSMENT OF THE LEVEL OF MAINTENANCE OF ROADS ON THE BASIS OF DIGITAL MODELING
Authors:   GKU «Directorate of Highways of the Volgograd Region», Vitaly Vitalievich Borovik , Andrey Yurievich Trubin ,   GKU «Directorate of Highways of the Volgograd Region», Anastasia Vitalievna Borovik ,   Institute of Construction and Architecture FGBU VO VolgGTU, Alexandra Vitalievna Borovik ,   Institute of Construction and Architecture FGBU VO VolgGTU, Daria Mikhailovna Lepekhina ,   Institute of Construction and Architecture FGBU VO VolgGTU
Published: January 2023

An analysis is made of the current regulatory framework in the Russian Federation for assessing the level of maintenance of highways. It shows the incorrectness of the current approach, which does not take into account the systemic interaction of factors for assessing the level of content. The results of such an assessment do not allow planning and organizing work on the maintenance and repair of the road with sufficient accuracy. Proposals are made to improve the current regulatory framework. The main advantages of the proposed methodology are the objectivity of the assessment and the possibility of identifying road sections that require maintenance and repair work, primarily on the basis of a multivariate analysis that takes into account the relationship and interdependence of factors.
IMPACT OF INDICATORS OF TECHNICAL CONDITION OF TRUCK TRANSPORT ON THE MAIN OPERATIONAL INDICATORS OF ITS OPERATION
Authors:   Belgorod State Technological University, Nikolai Alexandrovich Zagorodny , Yuri Alexandrovich Zayats ,   Belgorod State Technological University, Alla Sergeevna Semykina ,   Belgorod State Technological University, Alexander Nikolaevich Novikov ,   Oryol State University
Published: January 2023

The factors were analyzed and the indicators of each were determined. The factors affecting the technical availability factor by signs have been grouped. An example of technical availability factor calculation is given taking into account the proposed factors.
DIRECTIONS OF IMPROVEMENT OF ELECTRIC ARC METALLIZATION
Authors:   Central Research Automobile and Automotive Institute, Alexander Viktorovich Kolomeichenko , Vladimir Nikolaevich Logachev ,   Oryol State Agrarian University, Nikolay Vladimirovich Titov ,   Oryol State Agrarian University
Published: January 2023

The main directions and ways of improving electric arc metallization (EDM) are considered. Improvement of physical and mechanical properties of metallization coatings, in addition to the use of modern consumables, can be achieved by increasing the metal-air flow rate, the use of activated arc metallization and aerosol fluxing in EDM. The paper presents the developed equipment for EDM, and the improvement of EDM technology in the above areas.
Evaluasi Program Pendidikan Dan Pelatihan Calon Kepala Madrasah Melalui Metode On The Job Training
Authors: Metris Diksi , Sulaeman Maman , Mustadjabah Nur
Published: January 2023

The implementation of educational and training evaluations (training) on human resources in the educational organization environment is a necessity. The most prominent weakness of resources in the madrasa environment is the managerial competence of the madrasa head which is not supported by adequate educational qualifications and qualified leadership capacity. Another study said the success of a madrasa was an achievement of a madrasa head. The training program for madrasah head candidates with the on the job training method has been officially organized by the Education and Training Center for Education and Technical Personnel training in Education and Religion based on the Regulation of the Minister of Religion (PMA) Number 58 of 201. The results of the study stated that the training program for madrasah head candidates through the on the job training method can be applied and is very good because participants have had good knowledge and skills beforehand which are processed through madrasah leadership practices. Once they follow the training, those skills can be applied and continued. Based on the results of the evaluation through the EVALUATION OF CIPP (Context, Input, Process and Product) shows that the training program for prospective madrasah heads has a high success rate
Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization Bounds
Authors: Xu Mengjia , Rangamani Akshay , Liao Qianli , Galanti Tomer , Poggio Tomaso
Published: January 2023

We overview several properties—old and new—of training overparameterized deep networks under the square loss. We first consider a model of the dynamics of gradient flow under the square loss in deep homogeneous rectified linear unit networks. We study the convergence to a solution with the absolute minimumρ, which is the product of the Frobenius norms of each layer weight matrix, when normalization by Lagrange multipliers is used together with weight decay under different forms of gradient descent. A main property of the minimizers that bound their expected error for a specific network architecture isρ. In particular, we derive novel norm-based bounds for convolutional layers that are orders of magnitude better than classical bounds for dense networks. Next, we prove that quasi-interpolating solutions obtained by stochastic gradient descent in the presence of weight decay have a bias toward low-rank weight matrices, which should improve generalization. The same analysis predicts the existence of an inherent stochastic gradient descent noise for deep networks. In both cases, we verify our predictions experimentally. We then predict neural collapse and its properties without any specific assumption—unlike other published proofs. Our analysis supports the idea that the advantage of deep networks relative to other classifiers is greater for problems that are appropriate for sparse deep architectures such as convolutional neural networks. The reason is that compositionally sparse target functions can be approximated well by “sparse” deep networks without incurring in the curse of dimensionality.
A Cation-Driven Approach toward Deep-Ultraviolet Nonlinear Optical Materials
Authors: Hu Cong , Cheng Meng , Jin Wenqi , Han Jian , Yang Zhihua , Pan Shilie
Published: January 2023

The design of new materials with special performances is still a great challenge, especially for the deep-ultraviolet nonlinear optical materials in which it is difficult to balance large bandgaps and strong second harmonic generation responses due to their inverse relationship. Cation variation not only influences the whole structure frameworks but also directly participates in the formation of electronic structures, both of which could lead to the uncontrollability of the properties of the designed materials. Here, a novel approach, aiming at purposeful and foreseeable material designs, is proposed to characterize the role of cations. By the verification of several series of borates, the influences of cation variation on property changes are explored systematically. Accordingly, a feasible strategy of designing deep-ultraviolet nonlinear optical materials by substituting barium for lead has been concluded, which could obviously blue-shift the ultraviolet cutoff edge and maintain the relatively strong second harmonic generation response (more than 2 times of KH
2
PO
4
), achieving the property optimization, and especially works efficiently in fluorooxoborates. The property optimization design strategy and the cation characterization method are not only helpful in exploring nonlinear optical materials but also enlightening in material design and selection.
Control de la glucosa y peso mediante una intervención intensiva de los estilos de vida en personas con diabesidad.
Authors: Ruiz Reyes Marco Stalin , Prieto Fuenmayor Carem Francelys
Published: January 2023

Introducción y objetivo: La diabetes mellitus tipo 2 es una enfermedad crónica metabólica relacionada estrechamente con la obesidad, es por esta correlación que ha surgido el término Diabesidad que se utiliza para abarcar estas dos epidemias del siglo XXI, que se traducen en una problemática para la salud pública a nivel mundial. El objetivo de esta revisión es realizar un análisis de estudios que estén relacionados a las modificaciones en los estilos de vida, los cuales se fundamenten en cambios en la alimentación y adopción de ejercicio físico, que coadyuven al control metabólico de la glucosa y el peso.

Material y método: Se llevó a cabo una revisión sistemática de artículos publicados entre el año 2015 hasta la actualidad, en bases de datos Scopus y PubMed. Esta revisión se efectuó según los estándares de calidad para revisiones sistemáticas conforme la metodología PRISMA P.

Resultados: Control metabólico de la glucosa y peso a través de una intervención intensiva en los estilos de vida tanto en ejercicio físico como alimentación en pacientes con diabetes mellitus tipo 2 y obesidad.

Conclusiones: Una intervención intensiva en los estilos de vida es recomendable y constituye una poderosa alternativa primaria para contrarrestar la diabesidad, como una primera opción terapéutica al iniciar un tratamiento y a la vez prevenir el desarrollo de la diabetes mellitus tipo 2 en personas con obesidad.
The base country Japan’s aid diplomacy to Vietnam
Authors:   Korean Association of Regional Sociology, Lee sang-won
Published: January 2023

After the war, Japan laid the groundwork for the establishment of the ideology of a “peaceful state” by stipulating the renunciation of war in Article 9 of the Constitution. However, a contradictory situation arises when Japan assumes the role of a rear base for US warfare during the Korean War and Vietnam War. In other words, the concept of a ‘peace state’ was a ‘base state’ that entrusted Japan’s security guarantees to American-style diplomacy. Japan gained enormous benefits from the special effects of the Korean War, accounting for 63% of Japan’s exports at the time. On the other hand, the Vietnam War accounted for only 7-8% of Japan's exports, even including direct and indirect impacts, and there was no economic gain as much as in the Korean War. However, due to the Vietnam War, some countries in Southeast Asia, including Korea, have been on the trajectory of economic development, and Considering the structure of the international environment that has supported Japan’s rapid economic growth and economic development, the impact of the Vietnam War was much greater than expected. The Vietnam War is generally evaluated by Japanese as ‘Fire Across the Sea’, and in the discussion surrounding Japan’s role, it is pointed out it is a ‘participant in the aggression’. From the point of view of the Japanese people who regard Japan as a “peace country” and the Japanese people who have accepted democracy as a national identity, it has become natural for Japan to oppose the US war in Vietnam. Therefore, during the Vietnam War, citizens and students each participated in the nonviolent anti-war movement called Bepyongryeon (Peace in Vietnam! Citizens’ Union) and the ‘Zenkyoto Battle’ movement, which was organized around the students of the new left, in connection with the movement developed with the residents around the base, and Civil society began to be embraced. In this paper, we try to explore the form of the Japanese government's aid to Vietnam in this social awareness. In this paper, I try to explore the form of the Japanese government’s aid to Vietnam in this social awareness. In particular, in accordance with the mandatory implementation of the U.S.-Japan security treaty, the Japanese government provided a base to the United States and played a role in the Vietnam War and at the same time engaged in aid diplomacy. I think it will be meaningful to review and explore the direction of aid diplomacy through characteristics.
Analysis of changes in learning activities of university students' by comparing trends in web information search volume before and after the outbreak of COVID-19
Authors:   Korean Society for  Holistic Convergence Education, Lee Ki Won , Jung Hyung Geun , Kim Eun Kyung
Published: January 2023

In this study, the impact of un-tact learning on changes in learning activities in the 19-24 age group, mainly composed of university students', was analyzed by comparing the trend of web information search volume for physics terms before and after the COVID-19 outbreak. As the search terms for the research target, 'moment of inertia' and 'Fourier transform', which are basic concepts in the field of physics of the university, were selected, and the search volume information was data provided by Naver Data Lab. As a result of the analysis, it was observed that there was a unique repetitive search pattern for each search word before the COVID-19, and the deviation of web information per week was strong during the semester, but after the COVID-19, some such patterns changed and the deviation of search volume was relatively weakened. Periodic search volume deviation was defined as a kind of resonance phenomenon that occurs from active learning according to interactions between members, and changes in learning activities that appeared in university students' were interpreted based on changes in resonance phenomena that occurred after COVID-19. Based on this, future tasks that the instructor and the university should pay attention to were discussed.
KORELASI DEFISIT BASA GAS DARAH DAN TINGKAT MORTALITAS PADA
PASIEN PERITONITIS SEKUNDER DENGAN SEPSIS BERAT
Authors: Dwitia Vina , Yarman Haryono
Published: January 2023

Peritonitis sekunder merupakan jenis peritonitis yang paling umum. Sepsis berat yang
disebabkan oleh peritonitis dapat meningkatkan angka kematian hingga lebih dari 30-50%.
Nilai defisit basa gas darah dapat dipakai sebagai salah satu parameter perfusi jaringan. Iskemia
organ yang tidak teratasi akan menyebabkan terjadinya kegagalan fungsi organ yang akhirnya
menyebabkan kematian. Penelitian ini bertujuan untuk mengetahui korelasi antara nilai inisial
defisit basa gas darah dan tingkat mortalitas pada pasien peritonitis sekunder dengan sepsis
berat. Rancangan penelitian yaitu kohort retrospektif pada 35 pasien peritonitis sekunder
dengan sepsis berat yang masuk ke UGD Bedah RSUP Hasan Sadikin selama periode tahun
2013-2014. Analisis statistik dilakukan berdasarkan analisis korelasi Pearson untuk mengetahui
besarnya koefisien korelasi (r) pada kedua variabel pada taraf kepercayaan 95%. Hasil
penelitian berdasarkan outcome pasien meninggal dunia atau hidup, terdapat perbedaan
bermakna pada nilai rerata kadar laktat (p = 0,028), nilai rerata Ph (p = 0,000), skor rerata
Apache II (p = 0,001), nilai inisial defisit basa gas darah (p = 0,001), dan jumlah organ yang
mengalami kegagalan (p=0,040). Terdapat hubungan antara defisit basa gas darah dengan
tingkat mortalitas (r= -0,52) dan determinan korelasi (nilai R) 0,27 (p=0,001) yang artinya
mortalitas akibat defisit basa gas darah adalah sebesar 27%. Pada analisis ROC diperoleh cut
of point mortalitas sepsis berat berdasarkan nilai inisial defisit basa gas darah adalah -7,35
dengan sensitivitas 86,70% dan spesifisitas 45%. Dapat disimpulkan terdapat korelasi antara
nilai inisial defisit basa gas darah dengan tingkat mortalitas pada pasien peritonitis sekunder
dengan sepsis berat dengan kekuatan korelasi sedang.
ANALISIS PEMAHAMAN MAHASISWA FARMASI MENGENAI PENGGUNAAN
VITAMIN SEBAGAI UPAYA PENINGKATAN IMUNITAS DI MASA PANDEMI
COVID-19
Authors: Haris Baiq Bismiranti , Annas Zulfiana Fitrianingrum , Sabdarrifa Nur Amalina , Puspitasari Candra Eka
Published: January 2023

Semenjak awal kemunculannya hingga ditetapkan sebagai pandemic, berbagai upaya telah
dilakukan oleh World Health Organization (WHO) serta pemerintah untuk menekan
pelonjakan jumlah kasus Corona Virus Disease-19 (COVID-19), salah satunya dengan
mengonsumsi vitamin karena beberapa vitamin diduga memiliki efek sebagai
imunomodulator. Penelitian ini dilakukan dengan tujuan mengkaji pengetahuan mahasiswa
Farmasi Universitas Mataram (UNRAM) mengenai penggunaan vitamin di masa pandemi
COVID-19 serta jenis vitamin yang biasa dikonsumsi oleh mahasiswa dalam rangka
meningkatkan imunitas diri. Penelitian ini dilakukan dengan desain cross sectional. Data
diambil dengan menggunakan kuisioner daring berupa google form. Data yang didapat
kemudian diolah menggunakan Microsoft excel. Hasil dari penelitian ini yaitu rata-rata
responden memeroleh nilai sangat baik dikarenakan lebih dari 85% responden menjawab
pertanyaan secara tepat serta sebanyak 99,4% responden menilai bahwa menjaga imunitas
adalah penting. Adapun jenis vitamin yang biasa dikonsumsi oleh mahasiswa Farmasi
UNRAM yaitu vitamin C, vitamin A, dan kombinasi dari vitamin A, B, C, D, E, K.
Pengetahuan mahasiswa Farmasi UNRAM mengenai penggunaan vitamin dalam
meningkatkan imunitas berada dalam kriteria sangat baik serta vitamin C merupakan jenis
vitamin yang paling banyak dikomsumsi oleh mahasiswa Farmasi.
Pelatihan Pengembangan Soal Berbasis HOTS bagi Guru Sekolah Dasar
Authors: Miharja Fuad Jaya , Fauzi Ahmad , Hudha Atok Miftachul
Published: January 2023

Pembelajaran daring selama pandemi Covid-19 diindikasi berdampak pada menurunnya keterampilan berpikir kritis siswa, terlebih kecenderungan guru kesulitan dalam mengembangkan soal berbasis HOTS. Pengabdian ini bertujuan melakukan melatih guru sekolah dasar dalam mengembangkan soal berbasis HOTS dalam rangka meningkatkan keterampilan berpikir kritis siswa selama pembelajaran daring. Metode pelaksanaan pengabdian ini mengacu pada analisis situasi dengan pihak sekolah, meliputi diskusi, sosialisasi, pelatihan, workshop, dan praktek langsung. Pengabdian dilakukan selama bulan Juli – September 2021, melibatkan 24 orang guru. Instrumen pengukuran berpikir kritis yang digunakan dalam pengembangan soal HOTS merujuk kepada penelitian Zubaidah. Hasil pengabdian menunjukkan bahwa pengembangan soal berbasis HOTS perlu dikembangkan secara tersistem dari perencanaan hingga evaluasi. Lebih lanjut, hasil pengabdian juga memberikan perspektif yang lebih mendalam tentang bagaimana membelajarkan HOTS dengan menggunakan model pembelajaran inovatif.
HOTS-Based Question Development Training for Elementary School Teachers
Online learning during the Covid-19 pandemic is indicated to impact the decline in students' critical thinking skills, especially for teachers to find it challenging to develop HOTS-based questions. This service aims to train elementary school teachers to develop HOTS-based questions to improve students' critical thinking skills during online learning. Implementing this service refers to situation analysis with the school, including discussions, socialization, training, workshops, and hands-on practice. The service is carried out from July to September 2021, involving 24 teachers. The critical thinking measurement instrument used in developing HOTS questions refers to Zubaidah's research. The service results show that the development of HOTS-based questions needs to be developed systematically from planning to evaluation. Furthermore, the service results also provide a deeper perspective on how to teach HOTS using innovative learning models.
Pemberdayaan dan Peningkatan Kualitas SDM Masyarakat dengan Menggunakan Metode Asset Bassed Community Development (ABCD) di Desa Pecalongan Kec. Sukosari Bondowoso
Authors: Yuwana Siti Indah Purwaning
Published: January 2023

Pecalongan adalah salah satu desa yang ada di Kecamatan Sukosari, Kabupaten Bondowoso. Banyak potensi yang belum dimanfaatkan secara optimal, salah satunya kualitas sumber daya manusia, yang disebabkan rendahnya pengetahuan dan tingkat pendidikan. Kegiatan pengabdian masyarakat ini bertujuan untuk menjelaskan bagaimana pemberdayaan dan peningkatan kualitas masyarakat di desa Pecalongan. Asset-Based Community Development (ABCD) merupakan salah satu pendekatan dalam pemberdayaan dan peningkatan kualitas Sumber Daya Manusia (SDM). Data pengabdian yang dikumpulkan berasal dari observasi, dokumentasi, dan wawancara secara langsung yang dilakukan pada masyarakat Pecalongan. Kegiatan pengabdian ini berlangsung di Bulan Agustus 2021. Hasil dari pengabdian masyarakat ini menjelaskan bahwa aset yang ada dalam pemberdayaan dan peningkatan kualitas SDM Desa Pecalongan yakni meliputi Aset manusia, Aset alam, Aset ekonomi, Aset sosial, dan Aset Tradisi-Budaya. Kelima Aset tersebut akan menjadi bermanfaat saat dikelola dengan baik oleh warga masyarakat. Pendampingan akan pengelolaan aset tersebut perlu dilakukan agar terjadi peningkatan aset individu dan kelembagaan yang mampu menjadi tambahan potensi yang kuat demi kemajuan Desa Pecalongan.
Empowerment and Quality Improvement of Community Human Resources using the Asset Based Community Development (ABCD) Method in Pecalongan Village, Kec. Sukosan Bondowoso
Pecalongan is one of the villages in Sukosari District, Bondowoso Regency. There are many potentials that have not been utilized optimally, one of which is the quality of human resources, which is caused by the low level of knowledge and education. This community service activity aims to explain how to empower and improve the quality of the community in Pecalongan village. Asset-Based Community Development (ABCD) is one approach in empowering and improving the quality of Human Resources (HR). The community service data collected came from observations, documentation, and direct interviews conducted with the Pecalongan community. This community service activity takes place in August 2021. The results of this community service explain that the assets in empowering and improving the quality of human resources in Pecalongan Village include human assets, natural assets, economic assets, social assets, and cultural-traditional assets. These five assets will be useful when managed properly by the community members. Accompaniment in asset management needs to be carried out so that there is an increase in individual and institutional assets that are able to become additional strong potentials for the development of Pecalongan Village
Peningkatan Kesadaran Peduli Lingkungan Melalui Pembangunan Tempat Pembuangan Akhir (TPA) Guna Mengurangi Sampah Di Desa Sakakajang
Authors: Bustan Ridha Nirmalasari , Prasetyo Rico Ernando
Published: January 2023

Pengabdian pada Masyarakat ini didasarkan pada permasalahan tidak adanya Tempat Pembuangan Akhir yang tersedia di SD Negeri 1 Sakakajang, sehingga menyebabkan banyaknya tumpukan sampah di sekitar lingkungan sekolah. Pengabdian pada masyarakat ini berbasis riset yang dilakukan oleh tim pengabdian Institut Agama Islam Negeri Palangkaraya yang berlokasi di desa Sakakajang, Kecamatan Jabiren, Kabupaten Pulang Pisau. Metode pelaksanaan pengabdian ini menggunakan pendekatan PAR (Participatory Action Reseach) dimana pengguna metode ini melakukan riset terhadap suatu masalah kemudian melibatkan pihak-pihak yang terlibat guna memecahkan masalah tersebut. Ada dua tahap pendekatan yaitu tahap pertama ialah pembangunan Tempat Pembuangan  Akhir (TPA) guna mengatasi penumpukan sampah yang sering terjadi di SD Negeri 1 Sakakajang. Tahap yang kedua ialah pemberian sosialisasi mengenai pentingnya menjaga kebersihan lingkungan guna menciptakan lingkungan belajar yang bersih, kondusif, aman dan nyaman. Hasil dari pengabdian yang dilakukan oleh tim pengabdian adalah memberikan solusi atas permasalahan penumpukan sampah yang terjadi di SD Negeri 1 Sakakajang dengan mendirikan tempat pembuangan akhir. Selain itu, tim pengabdi juga membiasakan peserta didik SD Negeri 1 Sakakajang untuk tetap menjaga kebersihan lingkungan dengan cara tidak membuang sampah sembarangan dan membuangnya pada tempat yang telah disediakan.
An Increasing Awareness of Environmental Care by Construction of Final Disposal Sites (FDS) to Reduce Waste in Sakakajang Village
This community service is based on the problem of the absence of a final disposal site available at SD Negeri 1 Sakakajang, causing a lot of piles of garbage around the school environment. This community service is based on research conducted by the service team of the Palangkaraya State Islamic Institute located in Sakakajang village, Jabiren District, Pulang Pisau Regency. The method of implementing this service uses a PAR (Participatory Action Research) approach where the user of this method conducts research on a problem and then involves the parties involved to solve the problem. There are two stages of approach, namely the first stage is the construction of a Final Disposal Site (TPA) to overcome the accumulation of waste that often occurs in SD Negeri 1 Sakakajang. The second stage is providing socialization about the importance of maintaining a clean environment in order to create a clean, conducive, safe and comfortable learning environment. The result of the service carried out by the service team is to provide a solution to the problem of garbage accumulation that occurs at SD Negeri 1 Sakakajang by establishing a final disposal site. In addition, the service team also familiarizes the students of SD Negeri 1 Sakakajang to keep the environment clean by not littering and throwing it in the place provided.