bluuebunny/crossref_metadata_2025 huggingface dataset:
DyCC-Net: Dynamic Context Collection Network for Input-Aware Drone-View Object Detection
Authors: Xi Yue , Jia Wenjing , Miao Qiguang , Liu Xiangzeng , Fan Xiaochen , Lou Jian
Published: December 2022

Benefiting from the advancement of deep neural networks (DNNs), detecting objects from drone-view images has achieved great success in recent years. It is a very challenging task to deploy such DNN-based detectors on drones in real-life applications due to their excessive computational costs and limited onboard computational resources. Large redundant computation exists because existing drone-view detectors infer all inputs with nearly identical computation. Detectors with less complexity can be sufficient for a large portion of inputs, which contain a small number of sparse distributed large-size objects. Therefore, a drone-view detector supporting input-aware inference, i.e., capable of dynamically adapting its architecture to different inputs, is highly desirable. In this work, we present a Dynamic Context Collection Network (DyCC-Net), which can perform input-aware inference by dynamically adapting its structure to inputs of different levels of complexities. DyCC-Net can significantly improve inference efficiency by skipping or executing a context collector conditioned on the complexity of the input images. Furthermore, since the weakly supervised learning strategy for computational resource allocation lacks of supervision, models may execute the computationally-expensive context collector even for easy images to minimize the detection loss. We present a Pseudo-label-based semi-supervised Learning strategy (Pseudo Learning), which uses automatically generated pseudo labels as supervision signals, to determine whether to perform context collector according to the input. Extensive experiment results on VisDrone2021 and UAVDT, show that our DyCC-Net can detect objects in drone-captured images efficiently. The proposed DyCC-Net reduces the inference time of state-of-the-art (SOTA) drone-view detectors by over 30 percent, and DyCC-Net outperforms them by 1.94% in AP75.
Influence of Range-Dependent Sound Speed Profile on Position of Convergence Zones
Authors: Li Ziyang , Piao Shengchun , Zhang Minghui , Gong Lijia
Published: December 2022

Based on the Wentze–Kramers–Brillouin approximation, we derive formulae to calculate the position of convergence zones in a range-dependent environment with sound speed profiles varying in linear and ellipsoidal Gaussian eddy cases. Simulation results are provided for the linear and ellipsoidal Gaussian eddy cases. Experiment data are used for calculations considering linearly varying sound speed, and the findings suitably agree with the simulation results. According to the evaluated environment, the influence of the range-dependent sound speed profile on the position of the upper and lower convergence zones for different source depths is analyzed through simulations. The corresponding results show that the influence of the sound speed profile on the position of the upper convergence zone is greater for a shallower source. In contrast, the position of the lower convergence zone for large-depth reception is less affected.
A Tailored Approach for the Global Gas Flaring Investigation by Means of Daytime Satellite Imagery
Authors: Faruolo Mariapia , Genzano Nicola , Marchese Francesco , Pergola Nicola
Published: December 2022

The Daytime Approach for gas Flaring Investigation (DAFI), running in Google Earth Engine (GEE) environment, exploits a Normalized Hotspot Index (NHI), analyzing near-infrared and short-wave infrared radiances, to detect worldwide high-temperature gas flaring sites (GFs). Daytime Landsat 8—Operational Land Imager (OLI) observations, of 2013–2021, represents the employed dataset. A temporal persistence criterion is applied to a gas flaring customized NHI product to select the GFs. It assures the 99% detection accuracy of more intense and stable GFs, with a very low false positive rate. As a result, the first daytime database and map of GF sites, operating during the last 9 years at global scale, has been generated. For each site, geographical metadata, frequency of occurrence and time persistence levels, at both monthly and annual scale, may be examined, through the specific developed GEE App. The present database will complement/integrate existing gas flaring maps. The joint use of global scale daytime and nighttime GFs inventories, in fact, will allow for tracking gas flaring dynamics in a timely manner. Moreover, it enables a better evaluation of GF emissions into the atmosphere. Finally, the next DAFI implementation on Landsat 9 and Sentinel 2 data will further improve our capabilities in identifying, mapping, monitoring and characterizing the GFs.
Quantifying Mangrove Extent Using a Combination of Optical and Radar Images in a Wetland Complex, Western Region, Ghana
Authors: Aja Daniel , Miyittah Michael K. , Angnuureng Donatus Bapentire
Published: December 2022

The classification of mangrove forests in tropical coastal zones, based only on passive remote sensing methods, is hampered by mangrove complexities, topographical considerations, and cloud cover effects, among others. This paper reports on a study that combines optical and radar data to address the challenges of distinguishing mangrove stands in cloud-prone regions. The Google Earth Engine geospatial processing platform was used to extract multiple scenes of Landsat surface reflectance Tier 1 and synthetic aperture radar (C-band and L-band). The images were enhanced by creating a feature that removes clouds from the optical data and using speckle filters to remove noise from the radar data. The random forest algorithm proved to be a robust and accurate machine learning approach for mangrove classification and assessment. Classification was evaluated using three scenarios: classification of optical data only, classification of radar data only, and combination of optical and radar data. Our results revealed that the scenario that combines optical and radar data performed better. Further analysis showed that about 16.9% and 21% of mangrove and other vegetation/wetland cover were lost between 2009 and 2019. Whereas water body and bare land/built-up areas increased by 7% and 45%, respectively. Accuracy was evaluated based on the three scenarios. The overall accuracy of the 2019 classification was 98.9% (kappa coefficient = 0.979), 84.6% (kappa coefficient = 0.718), and 99.1% (kappa coefficient = 0.984), for classification of optical data only, classification of radar data only, and combination of optical and radar data, respectively. This study has revealed the potential to map mangroves correctly, enabling on-site conservation practices in the climate change environment.
Predicting Model for Air Transport Demand under Uncertainties Based on Particle Filter
Authors: Chen Bin , Wu Jin
Published: December 2022

The outbreak of the COVID-19 has brought about huge economic loss and civil aviation industries all over the world have suffered severe damage. An effective method is urgently needed to accurately predict air-transport demand under the influences of such accidental factors. This paper proposes a novel predicting framework for the air-transport demand considering the uncertainties caused by accidental factors including regional wars, climatic anomalies, and virus outbreaks. By employing a seasonal autoregressive integrated moving average (sARIMA) model as the basic model, a particle filter (PF)-based sARIMA-pf model is proposed. The applicability of adapting the high-order sARIMA model as the state transition model in a PF framework is shown and proven to be effective. The proposed method has the advantage of coping with short-term prediction with known uncertainties. By conducting case studies on the prediction of air passenger traffic volume in China, the sARIMA-pf model showed better performance than the sARIMA model and improved the accuracy by 49.29% and 44.96% under the conventional and pandemic scenarios, respectively, when using the root mean square error (RMSE) as the indicator.
Stakeholder Analysis and Prioritization of Sustainable Organic Farming Management: A Case Study of Bogor, Indonesia
Authors: Adil Adityawarman , Syarief Rizal , Widiatmaka  , Najib Mukhamad
Published: December 2022

The world’s population continues to increase, which causes food demand to increase. The increasing food demand is followed by increasing public awareness of healthy living. One way to overcome these problems is the application of organic farming. Developing organic farming must not be distinct from the role of stakeholders. The study aimed to describe and understand the stakeholders’ role in organic farming management. The research was conducted using interviews, field observations, and literature studies. The analysis was carried out quantitatively and qualitatively. Stakeholder analysis is carried out to identify, classify, map, and analyze relationships between stakeholders. The result showed all stakeholders involved in the management of organic agriculture in Bogor, West Java, are classified into four groups, namely key player (Agriculture Department and the Indonesian Organic Alliance (AOI), subject (farmers and community groups), context setter (Organic Certification Institute, Agriculture and Technology Park (ATP)-IPB University, and Organic Entrepreneurs), and the crowd (Bappeda and Universities). All stakeholders should support the government in developing policies and strategies for developing organic farming. In addition, key players, especially the Indonesian Organic Alliance, should proactively negotiate with local governments and communities regarding the sustainability of organic farming development. The policy implication of this research is to determine the contribution of stakeholders in making a strategy for the development of organic farming.
Principles of Management Systems for Positive Impact Factories
Authors: Schutzbach Maximilian , Kögel Alicia , Kiemel Steffen , Miehe Robert , Sauer Alexander
Published: December 2022

The sustainable design of production systems is essential for the industry’s future viability. In this context, the concept of positive impact factories has recently evolved, striving for a completely loss-free factory benefiting positively its surroundings. To establish a holistic view of this approach in everyday corporate life, it is necessary to develop a management policy with defined process flows in the sense of a dedicated management system. This paper thus reviews the scientific literature on (sustainable) management systems and develops a tailored management system for the example of the ultra-efficiency factory. In doing so, we specifically combine and complement established management systems such as environmental, energy and quality management, as well as compliance, maintenance, and lean management. In order to define an applicable framework, the basic considerations presented here were developed in cooperation with and reviewed by a large German automotive supplier. Thereupon, the results are discussed with regard to the future implementation of the system, and starting points for future research are derived.
Thermal Comfort Improvement with Passive Design Strategies in Child Development Centers in Thailand
Authors: Borisuit Apiparn , Suriyothin Phanchalath
Published: December 2022

Child Development Centers (CDCs) in Thailand are developed from the same national standard building plan across the country. Due to hot weather conditions, low-cost building materials, and a failure to consider the specific surrounding conditions of each case, thermal discomfort results. This study focuses on an improvement in the thermal comfort of a pilot CDC building in Maha Sarakham province, Thailand. Three CIBSE TM52 model criteria were applied to assess the level of overheating in the CDC building. The IESVE simulation tool was employed to assess the improvement from using passive design strategies (such as orientation, solar protection, thermal insulation, and ventilation). The results showed that passive design strategies could improve the overall thermal comfort of the CDC building. Thermal insulation, especially roof insulation, was the key element in reducing overheating in the building. A fully insulated building with shading devices and a night-time only window-opening pattern could meet the three targeted overheating criteria. Although the limitations of using the CIBSE TM52 model in hot and humid regions have been identified, these findings can be used as an exemplar of passive design strategy integration for other CDC buildings across the country.
Assessment of Landslide Susceptibility Using Different Machine Learning Methods in Longnan City, China
Authors: Gao Jiangping , Shi Xiangyang , Li Linghui , Zhou Ziqiang , Wang Junfeng
Published: December 2022

In recent decades, with the increase in extreme climate duration and the continuous development of urbanization in China, the threat of landslide disasters has become increasingly serious. More and more scholars pay attention to the problem of the prevention of landslide disasters. Therefore, the landslide susceptibility prediction is generated, which can play an important role in the design of land development and urban development schemes in mountainous areas. In this paper, the frequency ratio (FR) model is used to quantitatively analyze the relationship between each factor and the occurrence of landslide (elevation, slope, aspect, plan curvature, profile curvature, distance to faults, rainfall, distance to rivers, soil types, land cover, Normalized Difference Vegetation Index (NDVI) and distance to roads). Based on the analysis of landslide distribution, 12 influencing factors were selected to establish the landslide susceptibility evaluation index system. Historical landslide points were randomly divided into training (70% of the total) and validation (30%) sets. Thereafter, decision tree (DT), logistic regression (LR), and random forest (RF) models were used to generate the landslide susceptibility mapping (LSM), and the predictive performance of the three models was evaluated using receiver operating characteristic (ROC) curves. The FR model results showed that landslides mostly occurred at slopes of 0–15°, elevations of <1000 m, distance to rivers of 0–500 m, rainfall of 750–840 mm, NDVI of 0.8–0.9, distance to roads of 0–500 m, distance to faults of 1500–2000 m and transportation land. Our results also showed that the RF model showed a great capability of identifying areas highly susceptible to landslide, and this model had the greatest reliability. High and very high landslide susceptibility was detected for 29.73% of the land area of Longnan City, Gansu Province, mainly in the eastern, northeastern, and southern regions. The importance ranking of the RF model also revealed that elevation, NDVI, distance to roads, and rainfall dominated the spatial distribution of landslides. Our results could help government agencies and decision-makers make wise decisions for future natural hazard prevention in Longnan City.
Drina Transboundary Biosphere Reserve—Opportunities and Challenges of Sustainable Conservation
Authors: Medar-Tanjga Irena , Živak Neda , Ivkov-Džigurski Anđelija , Rajčević Vesna , Mišlicki Tomić Tanja , Čolić Vukosava
Published: December 2022

This study aims to explore the opportunities and challenges of sustainable conservation in the Drina Transboundary Biosphere Reserve (TBR Drina). Two countries in 2004 launched activities on the designation of TBR Drina, which would make a unique territorial system of Tara National Park (NP Tara) in the Republic of Serbia and Drina National Park (NP Drina) in the Republic of Srpska/Bosnia and Herzegovina. Through the analysis of institutional and legal jurisdiction, the authors presented the management system of protected areas in both countries, with detailed insight into the specific mechanisms of government functioning and management in Bosnia and Herzegovina. Its complex state apparatus represents the biggest limiting factor for the formation of TBR Drina. Through qualitative research, the researched area’s natural, cultural-historical, and socio-economic potentials were identified and recommendations were made for their optimal valorization and utilization. Research has shown that the natural, cultural-historical conditions of TBR Drina represent the potential for development, in contrast to the socio-economic conditions that make up its limiting factor. By planning through the cooperation between the border regions of both countries through support at the state level, TBR Drina can be recovered gradually, with the relative coexistence of ecological, social, and economic components of space, in the forthcoming period.
Testing of a Multiple Criteria Assessment Tool for Healthcare Facilities Quality and Sustainability: The Case of German Hospitals
Authors: Brambilla Andrea , Apel Jan Marvin , Schmidt-Ross Inga , Buffoli Maddalena , Capolongo Stefano
Published: December 2022

Background: Hospital facilities are an essential part of healthcare systems, making the assessment of their quality and sustainability pivotal. Most existing evaluation tools lack a holistic and validated approach, while predominantly excluding the built environment. The Italian hospital evaluation tool SustHealth v2 addresses the shortcoming of existing applications through its structured and more integrated approach; there is the need for further testing it. Methods: The study aims to test for the first time in an international case study the multicriteria assessment tool previously developed and validated. The tool assesses social, environmental, and organisational qualities in hospitals with an online survey containing 199 closed questions sent to German hospitals. A total of 14 full replies have been collected and the resulting data analysed through descriptive statistics and heat maps identifying patterns in ownership and size. Results: Within the sample, higher scores are reported in Social Quality, while lower in Environmental and Organisational Quality. Respondents performed well in the sustainability dimensions of health promotion, waste management, and patient safety. Improvements can be achieved in energy management, facility management, and technological innovation criteria. Private hospitals slightly outperform both public and non-profit clinics. The findings presented in this study suggest a non-linear relationship between sustainability and hospital size since the highest scores were obtained by either small or large facilities. Conclusion: The study highlighted strengths and limitation of SustHealth v2. Further testing and comparison are encouraged in different context.
Investors’ Perceptions of Sustainability Reporting—A Review of the Experimental Literature
Authors: Misiuda Maria , Lachmann Maik
Published: December 2022

Prior research has shown that companies’ sustainability reporting in relation to environmental, social, and governance disclosures influences investors’ investment decisions. Since the credibility of these disclosures is often questionable, it is important to understand how investors perceive sustainability reporting and include it in their decision-making process. Although the high relevance of this topic has already been clarified in research, the extant literature is heterogeneous and poorly connected on several levels. Against this background, we conducted a systematic literature review of 27 experimental studies on this topic published in leading accounting journals between 2000 and 2021. By clustering the results according to Mercer’s credibility factors, we synthesize the research on investors’ perceptions of sustainability reporting in a novel way, and derive suggestions for future research. We find that the interest in experimental research on sustainability reporting perception has grown in recent years. Researchers so far have examined sustainability performance and external assurance as the most relevant factors determining the credibility of sustainability information. Other factors, such as disclosure precision and inherent plausibility, are sparsely explored. We provide avenues for future research to investigate the perception of sustainability disclosures more comprehensively, by focusing on understudied credibility factors and on new theories and heuristics. Additionally, we suggest considering diverse experimental settings, such as different investor groups, company characteristics, or experimental procedures in general.
A Robust Control Scheme for Dynamic Voltage Restorer with Current Limiting Capability
Authors: Shi Jie , Xu Xiangzheng
Published: December 2022

In this paper, a second order sliding mode control scheme is utilized for outer voltage loop of a three-phase fault current limiter-based dynamic voltage restorer (FCL-DVR) instead of a conventional proportional integral/proportional resonance (PI/PR) controller. The new control strategy improves the dynamic performance of the FCL-DVR against voltage distortion. Furthermore, by using the proposed robustness controller, the FCL-DVR can smoothly switch between the FCL and DVR operation modes. Compared with other existing control schemes, the proposed control strategy for the FCL mode can still work well under a large fault current. The MATLAB/Simulink simulation results demonstrate that the proposed control strategy is robust to voltage harmonics, sag and swell. They also show that the proposed control scheme can effectively limit the fault current in different scenarios.
Applying an Intelligent Approach to Environmental Sustainability Innovation in Complex Scenes
Authors: Deng Hongjie , Ergu Daji , Liu Fangyao , Ma Bo , Cai Ying
Published: December 2022

Environmental protection is still a key issue that cannot be ignored at this stage of social development. With the development of artificial intelligence, various technologies increasingly tend to be widely used in the field of environmental protection, such as searching the wilderness through an unmanned aerial vehicle (UAV) and cleaning garbage by robots. Traditional object detection algorithms for this scenario suffer from low accuracy and high computational cost. Therefore, this paper proposes an algorithm applied to automatic garbage detection and instance segmentation in complex scenes. First, we construct sample-fused feature pyramid networks (SF-FPN) to achieve multi-scale feature sampling on multiple levels, to enhance the semantic representation of features. Second, adding the mask branch based on conditional convolution, introducing the idea of instance-filters to automatically generate the filter parameters of the Fully Convolutional Networks (FCN), to realize the instance-level pixel classification. Moreover, the Atrous Spatial Pyramid Pooling (ASPP) module is introduced to encode the feature information in a dense way to assist the generation of MASK. Finally, the object is detected and the instance is segmented by a two-branch structure. In addition, we also perform data augmentation on the original dataset to prevent model overfitting. The proposed algorithm reaches 82.7 and 72.4 according to the mAP index of detection and instance segmentation while using the public TACO dataset.
An Efficient Analytical Method for Analyzing the Nonlinear Fractional Klein–Fock–Gordon Equations
Authors: Alyousef Haifa A. , Shah Rasool , Nonlaopon Kamsing , El-Sherif Lamiaa S. , El-Tantawy Samir A.
Published: December 2022

The purpose of this article is to solve a nonlinear fractional Klein–Fock–Gordon equation that involves a recently created non-singular kernel fractional derivative by Caputo–Fabrizio. Motivated by some physical applications related to the fractional Klein–Fock–Gordon equation, we focus our study on this equation and some phenomena rated to it. The findings are crucial and essential for explaining a variety of physical processes. In order to find satisfactory approximations to the offered problems, this work takes into account a modern methodology and fractional operator in this context. We first take the Yang transform of the Caputo–Fabrizio fractional derivative and then implement it to solve fractional Klein–Fock–Gordon equations. We will consider three cases of the nonlinear fractional Klein–Fock–Gordon equation to ensure the applicability and effectiveness of the suggested technique. In order to determine an approximate solution to the fractional Klein–Fock–Gordon equation in the fast convergent series form, we can use the fractional homotopy perturbation transform approach. The numerical simulation is provided to demonstrate the effectiveness and dependability of the suggested method. Furthermore, several fractional orders will be used to describe the behavior of the given solutions. The results achieved demonstrate the high efficiency, ease of use, and applicability of this strategy for resolving other nonlinear issues.
Comparative Analysis of In Vitro Models to Study Antibody-Dependent Enhancement of Zika Virus Infection
Authors: Langerak Thomas , Mumtaz Noreen , Koopmans Marion , Schoenmakers Sam , Rockx Barry
Published: December 2022

During the 2015–2016 outbreak of Zika virus (ZIKV) in the Americas, a previously unknown severe complication of ZIKV infection during pregnancy resulting in birth defects was reported. Since the ZIKV outbreak occurred in regions that were highly endemic for the related dengue virus (DENV), it was speculated that antibody-dependent enhancement (ADE) of a ZIKV infection, caused by the presence of cross-reactive DENV antibodies, could contribute to ZIKV disease severity. Emerging evidence indicates that, while in vitro models can show ADE of ZIKV infection, ADE does not seem to contribute to congenital ZIKV disease severity in humans. However, the role of ADE of ZIKV infection during pregnancy and in vertical ZIKV transmission is not well studied. In this study, we hypothesized that pregnancy may affect the ability of myeloid cells to become infected with ZIKV, potentially through ADE. We first systematically assessed which cell lines and primary cells can be used to study ZIKV ADE in vitro, and we compared the difference in outcomes of (ADE) infection experiments between these cells. Subsequently, we tested the hypothesis that pregnancy may affect the ability of myeloid cells to become infected through ADE, by performing ZIKV ADE assays with primary cells isolated from blood of pregnant women from different trimesters and from age-matched non-pregnant women. We found that ADE of ZIKV infection can be induced in myeloid cell lines U937, THP-1, and K562 as well as in monocyte-derived macrophages from healthy donors. There was no difference in permissiveness for ZIKV infection or ADE potential of ZIKV infection in primary cells of pregnant women compared to non-pregnant women. In conclusion, no increased permissiveness for ZIKV infection and ADE of ZIKV infection was found using in vitro models of primary myeloid cells from pregnant women compared to age-matched non-pregnant women.
Oronasal or Intramuscular Immunization with a Thermo-Attenuated ASFV Strain Provides Full Clinical Protection against Georgia 2007/1 Challenge
Authors: Bourry Olivier , Hutet Evelyne , Le Dimna Mireille , Lucas Pierrick , Blanchard Yannick , Chastagner Amélie , Paboeuf Frédéric , Le Potier Marie-Frédérique
Published: December 2022

African swine fever (ASF) is a contagious viral disease of suids that induces high mortality in domestic pigs and wild boars. Given the current spread of ASF, the development of a vaccine is a priority. During an attempt to inactivate the Georgia 2007/1 strain via heat treatment, we fortuitously generated an attenuated strain called ASFV-989. Compared to Georgia, the ASFV-989 strain genome has a deletion of 7458 nucleotides located in the 5′-end encoding region of MGF 505/360, which allowed for developing a DIVA PCR system. In vitro, in porcine alveolar macrophages, the replication kinetics of the ASFV-989 and Georgia strains were identical. In vivo, specific-pathogen-free (SPF) pigs inoculated with the ASFV-989 strain, either intramuscularly or oronasally, exhibited transient hyperthermia and slightly decreased growth performance. Animals immunized with the ASFV-989 strain showed viremia 100 to 1000 times lower than those inoculated with the Georgia strain and developed a rapid antibody and cell-mediated response. In ASFV-989-immunized pigs challenged 2 or 4 weeks later with the Georgia strain, no symptoms were recorded and no viremia for the challenge strain was detected. These results show that the ASFV-989 strain is a promising non-GMO vaccine candidate that is usable either intramuscularly or oronasally.
Replication Activities of Major 5′ Terminally Deleted Group-B Coxsackievirus RNA Forms Decrease PCSK2 mRNA Expression Impairing Insulin Maturation in Pancreatic Beta Cells
Authors: Callon Domitille , Guedra Aurélien , Lebreil Anne-Laure , Heng Laetitia , Bouland Nicole , Fornès Paul , Berri Fatma , Andreoletti Laurent
Published: December 2022

Emergence of 5′ terminally deleted coxsackievirus-B RNA forms (CVB-TD) have been associated with the development of human diseases. These CVB-TD RNA forms have been detected in mouse pancreas during acute or persistent experimental infections. To date, the impact of the replication activities of CVB-TD RNA forms on insulin metabolism remains unexplored. Using an immunocompetent mouse model of CVB3/28 infection, acute and persistent infections of major CVB-TD populations were evidenced in the pancreas. The inoculation of mice with homogenized pancreases containing major CVB-TD populations induced acute and chronic pancreatic infections with pancreatitis. In the mouse pancreas, viral capsid protein 1 (VP1) expression colocalized with a decrease in beta cells insulin content. Moreover, in infected mouse pancreases, we showed a decrease in pro-hormone convertase 2 (PCSK2) mRNA, associated with a decrease in insulin plasmatic concentration. Finally, transfection of synthetic CVB-TD50 RNA forms into cultured rodent pancreatic beta cells demonstrated that viral replication with protein synthesis activities decreased the PCSK2 mRNA expression levels, impairing insulin secretion. In conclusion, our results show that the emergence and maintenance of major CVB-TD RNA replicative forms in pancreatic beta cells can play a direct, key role in the pathophysiological mechanisms leading to the development of type 1 diabetes.
A Machine Learning Method for Engineering Risk Identification of Goaf
Authors: Yuan Haiping , Cao Zhanhua , Xiong Lijun , Li Hengzhe , Wang Yixian
Published: December 2022

The risk evaluation indexes of goaf are multi-source and have complex mutual internal correlations, and there are great differences in the risk identification of goaf from different mines among the various influencing factors. This paper mainly focuses on principal component analysis (PCA) and the differential evolution algorithm (DE), while a multi-classification support vector machine (SVM) is adopted to classify the risks of goaf. Then, the K-fold cross-validation method is used to prevent the overfitting of selection in the model. After the analysis, nine factors affecting the risk identification of goaf in a certain area of East China were determined as the primary influencing factors, and 120 measured goafs were taken as examples for classifying the risks. More specifically, the classification results show that: (1) SVM has the useful ability of generalization, especially when solving the problems of overfitting, and it is easy to fall into the local minima under the conditions of small samples; (2) PCA is employed to realize the intelligent dimensionality reduction and denoising of multi-source impact indicators for goaf risk identification, which immensely improves the prediction accuracy and classification efficiency of the model; (3) after using the DE, the optimal solutions of the problems to be optimized are automatically obtained through the global optimization search mechanism, namely, the kernel function parameter, ‘γ’, and the penalty factor, ‘C’, of the SVM, which further verifies that the characteristics of clear logic, strong convergence, and good robustness can be found in the DE. As demonstrated, this method has the advantages of guiding significance and application value for goaf risk identification.
Evaluation of Inundation Probability and Inundation Depth through Rainfall–Runoff Analysis
Authors: Keum Ho-Jun , Seo Jong-Cheol , Choo Yeon-Moon
Published: December 2022

Because of their enclosed nature, underground spaces are more vulnerable to flooding than above-ground structures. As a result, flooding disasters have the potential to cause widespread casualties. Major domestic plan manuals such as ‘Waterproof Standards Plan Manual for Underground Space Flood Prevention’ suggest that the expected flood height is determined and measures are established to ensure safety for underground facilities located in areas where flooding is expected, but no clear methods and standards are presented. In this study, an inundation prediction chart was prepared by performing a one-dimensional (EPA-SWMM) model analysis using the probability rainfall, respectively. Then, data on the depth of inundation where the underground facility is located were extracted using a two-dimensional (FLO2D) model analysis. Using inundation depth and weather data, the probability of inundation for underground facilities and the expected inundation height were quantitatively evaluated through @RISK. Based on the quantitative assessment, it was determined that there was a 7.7% possibility of inundation in an underground space in the case of a 2 h time frame (average inundation depth: 0.1557 m), and a 13.3% possibility in the case of a 3 h time frame (average inundation depth: 0.1655 m). It would be possible to contribute to the development of countermeasures and manuals for underground space flooding using the quantitative assessment described above.
Infl uence of mineral feed additive on the milk productivity of lactating cows
Authors:   Federal State Budgetary Educational Institution of Higher Education “South Ural State Agrarian University”, Russia, Chelyabinsk region, Troitsk, Ermolova E. M. , Ermolov S. M. ,   Federal State Budgetary Educational Institution of Higher Education “South Ural State Agrarian University”, Russia, Chelyabinsk region, Troitsk, Kostomakhin N. M. ,   Federal State Budgetary Educational Institution of Higher Education «Russian State Agrarian University – Moscow Timiryazev Agricultural Academy», Russia, Moscow, Kosilov V. I. ,   Federal State Budgetary Educational Institution of Higher Education “Orenburg State Agrarian University”, Russia, Orenburg, Karmatskikh Yu. A. ,   Federal State Budgetary Educational Institution of Higher Education “Kurgan State Agricultural Academy named after T. S. Maltsev”, Russia, Kurgan region, Lesnikovo
Published: December 2022

The main reserve for increasing milk productivity of cows is the development of adapted, effective and cheap, high-energy feed rations based on the actual nutritional value of local feed and with the addition of feed additives. The purpose of the research was to determine the influence of the mineral feed additive Defl uorinated Phosphate on the milk productivity of lactating cows. The research was carried out under the conditions of OOO “Zarya” in the Sosnovsky area in the Chelyabinsk region. The data on the use of the mineral feed additive Defl uorinated Phosphate in the amount of 50 g/head/day in the feeding of lactating cows of Black–and-White breed have been presented. As a result of the conducted scientific and economic experiment lasting 100 days of lactation, data were obtained indicating that animals receiving the mineral feed additive increased milk yields, both during the period of experiment and average daily milk yields. Research data showed that milk yield per cow in terms of basic fat content was higher in the experimental group by 60,8 kg or 2,4 %. The fi nal indicator in the experimental group characterizing the production effi ciency such as the profi t per cow, had the highest result of 1188,3 rubles against 1161,0 rubles in the control group, the difference was 27,3 rubles. Thus, in order to improve the state of animal husbandry on the farm it is recommended to use the mineral feed additive Defluorinated Phosphate in the ration of lactating cows in the amount of 50 g/head/day, which would increase milk yield and milk quality.
Prevalence of body fluid exposures and associated risk factors amongst healthcare workers at Avicenne Military Hospital, Morocco
Authors: el Kamouni Youssef , el Bardi Touria , el Bazi Kenza , el Amrani Youssra , el Khannouri Imane , Meskini Ali , el Miloudi Mouhcine , Zouhair Said , Arsalane Lamiae
Published: December 2022

Objectives: The purpose of this study is to determine the prevalence of body fluid exposures (BFE) and associated risk factors amongst healthcare workers (HCWs), and to evaluate hepatitis B (HBV) vaccination coverage, at Avicenne Military Hospital. Materials and methods: A descriptive and analytical cross-sectional study was conducted over 6 months amongst HCWs at the Avicenne Military Hospital. Data were collected using an anonymous questionnaire. Blood samples were collected from consenting participants, for assaying HBV surface antibodies. Results: One hundred thirty-four HCWs were interviewed, and 86 (64.2%) reported at least one BFE. The median age was 28 (27–34) years, with male gender predominating (54%). Percutaneous exposure was the most common BFE (95%), and the hollow bore needle the most implicated (45%). Only 34% of victims reported their BFE. The multivariate analysis showed that HCWs in a surgical department are 10 times more exposed to BFE (P = 0.003; odds ratio [OR] = 10, 95% confidence interval [CI]: 2–47) compared to HCWs in medical departments (P = 0.009; OR = 0.06, 95% CI: 0.007–0.49) and laboratories (P = 0.04; OR = 0.1, 95% CI: 0.01–0.88). The HBV vaccination rate was 67%. Amongst HCWs tested, 42% were immune to HBV. Immune status between physicians and paramedical staff was significantly different (P = 0.005; OR = 0.2, 95% CI: 0.04–0.55). The immunization rate rose significantly with seniority (P = 0.016; OR = 17, 95% CI: 1.67–169). Conclusion: Our findings highlight the importance of information and continuous training on BFE for HCWs, and the development of strategies to promote and simplify access to the HBV vaccine.
RATIONALITY IN SCIENCE: A COMPARISON STUDY BETWEEN IBNU RUSYD AND RENE DESCARTES
Authors: Huringiin Nabila , Indallah Sayyid Muhammad
Published: December 2022

This article aims to compare the concept of rationality between Rene Descartes and Ibn Rushd. Namely Rene Descart who only uses reason or ratio, while Ibn Rushd who uses reason and revelation in reaching the ultimate truth. This article is a literature review where research data are taken from books and written sources that discuss the two figures. The method used in compiling this article is comparative descriptive with a philosophical approach. The results of this study conclude that the two concepts have something in common, namely the ratio or reason used to reach the truth. Even though they use the same ratio or reason, the main sources of knowledge between the two are very different. According to Rene Descartes, those who only use reason or reason will be able to reach the ultimate truth. Meanwhile, Ibn with his rationality based on revelation will reach the ultimate truth.

Artikel ini bertujuan untuk membandingkan konsep rasionalitas antara Rene Descartes dan Ibnu Rusyd. Yaitu Rene Descart  yang hanya menggunakan akal atau rasio, sedangkan Ibnu Rusyd yang menggunakan akal dan wahyu dalam mencapai kebenaran yang hakiki. Artikel ini adalah kajian pustaka dimana data penelitian diambil dari buku-buku dan sumber-sumber yang tertulis yang membahas antara kedua tokoh tersebut. Metode yang digunakan dalam menyusun artikel ini adalah deskriptif komparatif dengan pendekatan filosofis. Hasil dari kajian ini menyimpulkan, bahwasannya kedua konsep tersebut memiliki kesamaan yaitu pada rasio atau nalar yang digunakan untuk mencapai kebenaran tersebut. Meskipun menggunakan rasio atau nalar yang sama namun sember utama ilmu pengetahuan antara keduanya sangat berbeda. Menurut Rene Descartes yang hanya menggunakan akal atau rasio akan dapat mencapai kebenaran yang hakiki. Sedangkan Ibnu dengan rasionalitasnya dengan berlandaskan wahyu akan mencapai kebenaran hakiki.
CHANGES AND DEVELOPMENT OF THE MEANING OF SECULARISM IN ISLAMIC THOUGHT
Authors: Abdurrahman Usman Zulkifli
Published: December 2022

Abstract: Secularism is one of the most controversial concepts in Islamic thought. This concept which is rooted in Western history is not only opposed and rejected by some Muslim thinkers, but also critically accepted by some other Muslim thinkers. Muslim thinkers with various scientific backgrounds such as Abdul Karim Sorous, Nasir Hamid Abu Zayd, Nurcholis Madjid tend to accept the concept critically. This paper with descriptive analysis method shows that the elaboration of the concept of secularism by these thinkers not only shows the problematic and controversial concept of secularism, but also proves that the concept is transformed into the Islamic tradition both socio-historical, political, and philosophical.

Sekularisme menjadi salah satu konsep yang paling kontroversial dalam pemikiran Islam. Konsep yang berakar dari sejarah Barat ini bukan hanya ditentang dan ditolak oleh sebagian pemikir Muslim, namun juga diterima secara kritis oleh sebagian pemikir Muslim kontemporer. Pembahasan artikel ini dengan metode komparatif dan deskriptif kualitatif serta dengan pendekatan filosofis menemukan bahwa pemikir-pemikir muslim mengkritik sekularisme model Barat, dan merekonstruksi makna sekularisme sesuai dengan konteks sosial, politik, dan kepercayaan masyarakat muslim. Atas dasar temuan ini, artikel ini menyimpulkan bahwa konsep sekularisme mengalami transformasi dan pergeseran makna dalam pemikiran Islam.

 

Keywords: Secularism, Islamic Thought, Transformation, Abdul Karim Sorouh, Nasr Hamid Abu Zayd

 

Abstrak: Sekularisme menjadi salah satu konsep yang paling kontroversial dalam pemikiran Islam. Konsep yang berakar dari sejarah Barat ini bukan hanya ditentang dan ditolak oleh sebagian pemikir Muslim, namun juga diterima secara kritis oleh sebagian pemikir Muslim lainnya. Pemikir-pemikir Muslim dengan berbagai latar belakang keilmuan seperti Abdul Karim Sorous, Nasir Hamid Abu Zayd, Nurcholis Madjid cenderung menerima konsep tersebut secara kritis. Makalah ini dengan metode deskriptif analisis menunjukkan bahwa elaborasi konsep sekularisme oleh pemikir-pemikir tersebut bukan hanya menunjukkan betama problematis dan kontroversialnya konsep sekularisme, namun membuktikan pula bahwa konsep tersebut ditransformasi ke dalam tradisi Islam baik secara sosio-historis, politik, maupun filosofis.

 

Kata kunci: Sekularisme, Pemikiran Islam, Transformasi, Abdul Karim Sorouh, Nasr Hamid Abu Zayd
ANALYSIS OF THE EFFECTIVENESS OF MUHAMMADIYAH, CILEDUG BRANCH, TANGERANG CITY IN THE MEMBERSHIP CADERIZATION PROCESS
Authors: Fatayan Arum , Ayu Sartika , Bachrudin Aska Amalia
Published: December 2022

Muhammadiyah is the largest Islam movement organization in Indonesia, as well as a renewal movement guided by the Al-Quran and Hadits. Muhammadiyah cadres arepeople who are elected as members to be responsible for leading Muhammadiyah. The purpose of this study was to find out and explore the process of regeneration at the Ciledug Branch of Muhammadiyah which was considered lacking in regeneration.  Muhammadiyah Ciledug Branch is quite active in regular Muhammadiyah study activities. This study uses qualitative research methods to collect data from the Ciledug Branch Manager.Tangerang City through interviews, observations, and documentation. In the results of this study, it turned out that the Muhammadiyah Ciledug Branch was sufficient in membership regeneration, through business charity, routine studies were able could be agents of enewal in improving the quality of cadre membership of Muhammadiyah Ciledug Branch, Tangerang City though business charities.

Muhammadiyah ialah organisasi gerakan islam yang terbesar di Indonesia, selain itu sebagai gerakan pembaharuan berpedoman pada Al-Quran dan Hadits. Kader Muhammadiyah adalah orang yang dipilih sebagai anggota untuk dapat bertanggung jawab dalam memimpin Muhammadiyah. Tujuan penelitian ini dilakukan untuk mengetahui dan mendalami proses kaderisasi pada Muhammadiyah Cabang Ciledug dianggap kurang dalam melakukan kaderisasi. Muhammadiyah Cabang Ciledug termasuk cukup aktif dalam kegiatan kajian Muhammadiyah secara rutin. Penelitian ini menggunakan metode penelitian kualitatif mengumpulkan data dari Pimpinan Cabang Ciledug Kota Tangerang melalui wawancara, observasi, dan dokumentasi. Pada hasil dari penelitian ini ternyata Muhammadiyah cabang ciledug cukup dalam kaderisasi keanggotaan, melalui amal usaha, kajian rutin mampu menghasilkan kaderisasi Muhammadiyah yang berkomitmen, berwawasan luas dalam ajaran islam, dapat menjadi agen pembaharuan dalam meningkatkan kualitas kaderisasi keanggotaan Muhammadiyah Cabang Ciledug Kota Tangerang melalui amal usaha.
Supporting Students Become A Smart User Through TEDTalk Application
Authors: Chotimah Chusnul , Handayani Fitri
Published: December 2022

Abstract

This research is aboutTed Talk application that support the students being smart people by smartphone. TED Talk applications can help the students in learning English for four skills such as reading writing listening and speaking. This app offers kids and parents the opportunity to explore and view videos from the renowned TED (Technology, Entertainment, Design) conferences, which feature a mix of interesting speakers from all walks of life. The researcher believes that this application can support the students being smart people by smartphone. The purpose of this research is to support the students being smart people by their smartphone using TED Talk application. This research did about six months in As-Syafi’iyah Islamic University. The participants in this research are 20 college students on fifth semester in speaking for academic purposes subject. The method of this research is descriptive qualitative. The instruments that used in this research are interview and observation. And based the data, the researcher can conclude that using TED Talk as application that support the students being smart people by smartphone is very useful for all students. The students can increase their knowledge and skills in English. They can watch videos or listening audio to get some ideas for speaking practice.
THE ENGLISH PROFICIENCY OF TOURIST ACTORS IN KLATEN
Authors: Sholihah Umi , Sumekto Didik Rinan
Published: December 2022

This study aims to know the English proficiency of tourist actors in Klaten. The data of this research consist of primary data and secondary data. Primary data are the data gotten from English proficiency of tourist actors in Klaten, especially in speaking skill.  Meanwhile, secondary data are the data from the tourism department of Klaten. This research method is descriptive quantitative. The subjects of this study are tourist actors in temple and water tourist spots in Klaten, which consists of officers, sellers, parking attendants, security, and other tourist actors. The temple tourist spots are Plaosan temple and Sojiwan temple. Meanwhile, the water tourist spots are Umbul Ponggok and Umbul Cokro (OMAC). The choice of those spots is depended on the most foreign tourists among that type of tourist destinations. The result of the study shows that the English proficiency of tourist actors in temple tourist attractions is higher (50%) than water tourist attractions (8,33%). In temple tourist attractions, tourist actors who have high English proficiency is 50%, average is 37.5%, low is 12.5%. In water tourist attractions, tourist actors who have high English proficiency is 8.33%, average is 29.16%, low is 62.5%. This study also got other data that tourist actors in Klaten have important role to support tourism industry in Klaten to attract tourists, both domestic and foreign, but their awareness of it is still low. Most of them still rely on domestic tourists than foreigners.