bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact Mechanism of Climate and Vegetation Changes on the Blue and Green Water Flow in the Main Ecosystems of the Hanjiang River Basin, China
Authors: Kong Ming , Li Yiting , Zang Chuanfu , Deng Jinglin
Published: September 2023

Water resources management and planning traditionally focus on visible liquid or blue water. However, green water also maintains social development and ecosystem services. Therefore, blue and green water should be incorporated into the watershed management system for evaluating water resources. To analyze the water resources of the Hanjiang River Basin, the SWAT model was set up using long-term and high-precision geographic data. The methods of wavelet analysis and Pearson’s correlation analysis were used to explore the influence mechanism of climate and vegetation changes on the blue and green water flow (BWF and GWF) of the main ecosystems in the basin. The results showed that: (1) The spatial–temporal distribution of the BWF and GWF in the main ecosystems of the basin over the past 50 years was uneven. Forest ecosystems and farmland ecosystems have a greater concentration of water resources in the south, while grassland ecosystems have a greater concentration of water resources in the east. (2) Climate dominates the BWF and GWF changes in the main ecosystems of the basin. The BWF and the precipitation change cycle are synergistic, and the GWF and the temperature change cycle are synergistic. (3) The correlation between vegetation and BWF and GWF in the farmland ecosystem is significant. Vegetation affects the hydrological change process of the BWF and GWF at the microscale. This study can provide data support and scientific rules for ecosystem water resource management in the basin.
Identification and Spatial Analysis of Land Salinity in China’s Yellow River Delta Using a Land Salinity Monitoring Index from Harmonized UAV-Landsat Imagery
Authors: Jiang Liping , Qiu Guanghui , Yu Xinyang
Published: September 2023

Precise identification and spatial analysis of land salinity in China’s Yellow River Delta are essential for the rational utilization and sustainable development of land resources. However, the accurate retrieval model construction for monitoring land salinity remains challenging. This study constructed a land salinity retrieval framework using a harmonized UAV and Landsat-9 multi-spectral dataset. The Kenli district of the Yellow River Delta was selected as the case study area, and a land salinity monitoring index (LSMI) was proposed based on field survey data and UAV multi-spectral image and applied to the reflectance-corrected Landsat-9 OLI image. The land salinity distribution patterns were then mapped and spatially analyzed using Moran’s I and Getis-Ord GI* analysis. The results demonstrated the following: (1) The LSMI-based method can accurately retrieve land salinity content with a validation determination coefficient (R2), root mean square error (RMSE), and residual predictive deviation (RPD) of 0.75, 1.89, and 2.11, respectively. (2) Land salinization affected 93.12% of the cultivated land in the study area, and the severely saline soil grade (with a salinity content of 6–8 g/kg) covered 38.41% of the total cultivated land area and was widely distributed throughout the study area. (3) Saline land exhibited a positive spatial autocorrelation with a value of 0.311 at the p = 0.000 level; high–high cluster types occurred mainly in the Kendong and Huanghekou towns (80%), while low–low cluster types were mainly located in the Dongji, Haojia, Kenli, and Shengtuo towns (88.46%). The spatial characteristics of various salinity grades exhibit significant variations, and conducting separate spatial analyses is recommended for future studies.
Rapid and Non-Destructive Estimation of Moisture Content in Caragana Korshinskii Pellet Feed Using Hyperspectral Imaging
Authors: Yu Zhihong , Chen Xiaochao , Zhang Jianchao , Su Qiang , Wang Ke , Liu Wenhang
Published: September 2023

Moisture content is an important parameter for estimating the quality of pellet feed, which is vital in nutrition, storage, and taste. The ranges of moisture content serve as an index for factors such as safe storage and nutrition stability. A rapid and non-destructive model for the measurement of moisture content in pellet feed was developed. To achieve this, 144 samples of Caragana korshinskii pellet feed from various regions in Inner Mongolia Autonomous Region underwent separate moisture content control, measurement using standard methods, and captured their images using a hyperspectral imaging (HSI) system in the spectral range of 935.5–2539 nm. The Monte Carlo cross validation (MCCV) was used to eliminate abnormal sample data from the spectral data for better model accuracy, and a global model of moisture content was built by using partial least squares regression (PLSR) with seven preprocessing techniques and two spectral feature extraction techniques. The results showed that the regression model developed by PLSR based on second derivative (SD) and competitive adaptive reweighted sampling (CARS) resulted in better performance for moisture content. The model showed predictive abilities for moisture content with a coefficient of determination of 0.9075 and a root mean square error (RMSE) of 0.4828 for the training set; and a coefficient of determination of 0.907 and a root mean square error (RMSE) of 0.5267 for the test set; and a relative prediction error of 3.3 and the standard error of 0.307.
Efficient Localization Method Based on RSSI for AP Clusters
Authors: Su Zhigang , Tian Zeyu , Hao Jingtang
Published: September 2023

The localization accuracy is susceptible to the received signal strength indication (RSSI) fluctuations for RSSI-based wireless localization methods. Moreover, the maximum likelihood estimation (MLE) of the target location is nonconvex, and locating target presents a significant computational complexity. In this paper, an RSSI-based access point cluster localization (APCL) method is proposed for locating a moving target. Multiple location-constrained access points (APs) are used in the APCL method to form an AP cluster as an anchor node (AN) in the wireless sensor network (WSN), and the RSSI of the target is estimated with several RSSI samples obtained by the AN. With the estimated RSSI for each AN, the solution for the target location can be obtained quickly and accurately due to the fact that the MLE localization problem is transformed into an eigenvalue problem by constructing an eigenvalue equation. Simulation and experimental results show that the APCL method can meet the requirement of high-precision real-time localization of moving targets in WSN with higher localization accuracy and lower computational effort compared to the existing classical RSSI-based localization methods.
XGBoost–SFS and Double Nested Stacking Ensemble Model for Photovoltaic Power Forecasting under Variable Weather Conditions
Authors: Zhou Bowen , Chen Xinyu , Li Guangdi , Gu Peng , Huang Jing , Yang Bo
Published: September 2023

Sustainability can achieve a balance among economic prosperity, social equity, and environmental protection to ensure the sustainable development and happiness of current and future generations; photovoltaic (PV) power, as a clean, renewable energy, is closely related to sustainability providing a reliable energy supply for sustainable development. To solve the problem with the difficulty of PV power forecasting due to its strong intermittency and volatility, which is influenced by complex and ever-changing natural environmental factors, this paper proposes a PV power forecasting method based on eXtreme gradient boosting (XGBoost)–sequential forward selection (SFS) and a double nested stacking (DNS) ensemble model to improve the stability and accuracy of forecasts. First, this paper analyzes a variety of relevant features affecting PV power forecasting and the correlation between these features and then constructs two features: global horizontal irradiance (GHI) and similar day power. Next, a total of 16 types of PV feature data, such as temperature, azimuth, ground pressure, and PV power data, are preprocessed and the optimal combination of features is selected by establishing an XGBoost–SFS to build a multidimensional climate feature dataset. Then, this paper proposes a DNS ensemble model to improve the stacking forecasting model. Based on the gradient boosting decision tree (GBDT), XGBoost, and support vector regression (SVR), a base stacking ensemble model is set, and a new stacking ensemble model is constructed again with the metamodel of the already constructed stacking ensemble model in order to make the model more robust and reliable. Finally, PV power station data from 2019 are used as an example for validation, and the results show that the forecasting method proposed in this paper can effectively integrate multiple environmental factors affecting PV power forecasting and better model the nonlinear relationships between PV power forecasting and relevant features. This is more applicable in the case of complex and variable environmental climates that have higher forecasting accuracy requirements.
A Sustainable Price Prediction Model for Airbnb Listings Using Machine Learning and Sentiment Analysis
Authors: Alharbi Zahyah H.
Published: September 2023

Since 2008, the company Airbnb has brought significant changes to the hospitality industry worldwide. Experiencing remarkable growth, it currently offers over six million listings in 191 countries across one hundred thousand cities. Airbnb has gained immense popularity among travellers seeking accommodations globally. Consequently, Airbnb generates extensive datasets from its listings that contain rich features that have captured the attention of researchers. These datasets offer potentially valuable information that can be extracted to greatly assist individuals and governments in making more informed decisions. Pricing rental properties on Airbnb still presents a challenge for owners, as it directly impacts customer demand. This research aimed to conquer the challenge by developing a sustainable price prediction model for Airbnb listings by incorporating property specifications, owner information and customer reviews. By utilising this model, owners can estimate the expected value of their Airbnb listings. We trained and fine-tuned several machine learning models using an Airbnb listing dataset from Barcelona. Performance evaluation metrics, such as mean squared error (MSE), mean absolute error (MAE), root mean square error (RMSE) and R2 score were then used to compare the models. To enhance the performance of the predictive models, sentiment analysis was used to extract relevant features from customer reviews. Feature importance analysis was also conducted to determine which attributes were the most influential on listing price predictions. The results show that the Lasso and Ridge models outperformed the others considered in the study, with an average R2 score of 99%. We found that amenities-related features had a negligible impact on all models’ performance. The most significant features found were polarity (positive/negative sentiment), the number of bedrooms, the accommodation’s maximum capacity, the number of beds and the quantity of reviews received by the listing in the past 12 months, respectively. We found that certain room types (categorized as entire home/apartment, private room or shared room) are associated with lower predicted prices.
Experimental Investigation on the Performance of Compressors for Small-Scale Compressed Air Energy Storage in Parallel Mode
Authors: Yang Hailong , Xu Yonghong , Zhang Hongguang , Zhang Jian , Yang Fubin , Wang Yan , Wu Yuting
Published: September 2023

The Compressed Air Energy Storage (CAES) system is a promising energy storage technology that has the advantages of low investment cost, high safety, long life, and is clean and non-polluting. The compressor/expander is the core equipment of the CAES system, and its performance has a decisive impact on the overall system efficiency and economic performance. Based on the pneumatic motor, this study proposes and designs a test bench of the CAES system that integrates compression and expansion functions. The off-design operation condition represented by the pressure change in the air tank has an important influence on the efficiency and economy of the CAES system. The effect of key parameters such as air tank pressure, torque, and mass flow rate on the output and efficiency of the compressor is investigated. When the CAES system is operating in energy storage mode, the compressor must continuously deliver gas to the gas storage. The working pressure of the compressor increases with the pressure in the air tank, so the compressor used for energy storage must operate continuously over a wide range of working conditions. The parallel operation mode of the compressor is proposed to improve the working condition range of the compressor torque and current, and improve the isotropic efficiency. When the air receiver pressure is 2.6 bar and the rotational speed is 2850 r/min, the power consumption of the compressor reaches the maximum value of approximately 1233.1 W. This new parallel mode could provide a CAES unit a systematic solution.
Exploring the Synergy of Renewable Energy in the Circular Economy Framework: A Bibliometric Study
Authors: Kristia Kristia , Rabbi Mohammad Fazle
Published: September 2023

Over the past half-century, scientists from many different areas have been investigating how to switch to renewable energy, especially in the context of a circular economy. Numerous articles have discussed the scientific aspects of developing technology to support this process. This systematic literature review and bibliometric study aim to fill in research gaps by looking at trends, challenges, and possible future directions for the use of renewable energy in the context of a circular economy, especially in the fields of business, management, and economics. The study analyzed 294 peer-reviewed articles using the R Studio-Biblioshiny package version 4.1.2 software. The challenges of integrating renewable energy technologies within a circular economy include financial constraints, such as a high initial investment, the lack of an adequate regulatory framework and government support, the intermittent availability of renewable energy sources, the scarcity of resources and components for renewable energy generation technologies, relatively low energy conversion efficiency, the challenge of increasing consumer awareness, and the environmental impact of technological waste. The study suggests that future research should focus on financial models and policy incentives that can encourage businesses and investors to take advantage of renewable energy. The study also recommends exploring sustainable alternative fuel technologies, optimized waste-to-energy conversion, the increased efficiency of bioenergy conversion, more efficient solar panels, improved energy storage capacity, the life cycle management of solar panel devices, and the development of innovative business models to facilitate industrial symbiosis.
Analysis of Municipal Solid Waste Collection Methods Focusing on Zero-Waste Management Using an Analytical Hierarchy Process
Authors: Apaydin Ömer , Akçay Han Gül Sümeyra
Published: September 2023

The need to transition from a consumption-based waste hierarchy to a resource-conserving zero-waste management system for sustainable resource management has become unavoidable in today’s world. In this study, five different methods for waste separation at source were analyzed using an analytical hierarchy process based on five commonly used waste disposal methods. As a result of the analytical hierarchy analysis, ratios of 0.347, 0.286, 0.200, 0.101, and 0.066 were obtained for the five separation methods (0.347 for separation with six-parameter separate collection and 0.101 for mixed waste collection). The ratio of 0.286, achieved for the triple-separation method, was chosen to meet the requirements of the zero-waste regulation in Türkiye, and a district in Istanbul was selected as the study area. A model based on the residence density was developed. Within the scope of the model, the neighborhoods in the study area were statistically divided into three classes. By choosing one neighborhood from each class, route optimizations were made for both the existing routes and triple separations. The Network Analyst function in ArcGIS was used to determine the optimal routes based on the traveling distances and operational times of vehicles associated with each route. The results of the route-based analyses show that carbon dioxide emissions will increase by only 1.15% compared to the current situation, but the total amount will decrease in the long term if all waste management processes are carried out within the scope of zero-waste management.
Global Burden of Lumpy Skin Disease, Outbreaks, and Future Challenges
Authors: Akther Mahfuza , Akter Syeda Hasina , Sarker Subir , Aleri Joshua W. , Annandale Henry , Abraham Sam , Uddin Jasim M.
Published: September 2023

Lumpy skin disease (LSD), a current global concern, causes economic devastation in livestock industries, with cattle and water buffalo reported to have higher morbidity and lower mortality rates. LSD is caused by lumpy skin disease virus (LSDV), a member of the Poxviridae family. It is an enzootic, rapidly explorative and sometimes fatal infection, characterized by multiple raised nodules on the skin of infected animals. It was first reported in Zambia in 1929 and is considered endemic in Africa south of the Sahara desert. It has gradually spread beyond Africa into the Middle East, with periodic occurrences in Asian and East European countries. Recently, it has been spreading in most Asian countries including far East Asia and threatens incursion to LSD-free countries. Rapid and accurate diagnostic capabilities, virus identification, vaccine development, vector control, regional and international collaborations and effective biosecurity policies are important for the control, prevention, and eradication of LSD infections. This review critically evaluates the global burden of LSD, the chronological historical outbreaks of LSD, and future directions for collaborative global actions.
Human Rotavirus Replicates in Salivary Glands and Primes Immune Responses in Facial and Intestinal Lymphoid Tissues of Gnotobiotic Pigs
Authors: Nyblade Charlotte , Zhou Peng , Frazier Maggie , Frazier Annie , Hensley Casey , Fantasia-Davis Ariana , Shahrudin Shabihah , Hoffer Miranda , Agbemabiese Chantal Ama , LaRue Lauren , Barro Mario , Patton John T. , Parreño Viviana , Yuan Lijuan
Published: September 2023

Human rotavirus (HRV) is a leading cause of viral gastroenteritis in children across the globe. The virus has long been established as a pathogen of the gastrointestinal tract, targeting small intestine epithelial cells and leading to diarrhea, nausea, and vomiting. Recently, this classical infection pathway was challenged by the findings that murine strains of rotavirus can infect the salivary glands of pups and dams and transmit via saliva from pups to dams during suckling. Here, we aimed to determine if HRV was also capable of infecting salivary glands and spreading in saliva using a gnotobiotic (Gn) pig model of HRV infection and disease. Gn pigs were orally inoculated with various strains of HRV, and virus shedding was monitored for several days post-inoculation. HRV was shed nasally and in feces in all inoculated pigs. Infectious HRV was detected in the saliva of four piglets. Structural and non-structural HRV proteins, as well as the HRV genome, were detected in the intestinal and facial tissues of inoculated pigs. The pigs developed high IgM antibody responses in serum and small intestinal contents at 10 days post-inoculation. Additionally, inoculated pigs had HRV-specific IgM antibody-secreting cells present in the ileum, tonsils, and facial lymphoid tissues. Taken together, these findings indicate that HRV can replicate in salivary tissues and prime immune responses in both intestinal and facial lymphoid tissues of Gn pigs.
Detection of H5N1 High Pathogenicity Avian Influenza Viruses in Four Raptors and Two Geese in Japan in the Fall of 2022
Authors: Nabeshima Kei , Takadate Yoshihiro , Soda Kosuke , Hiono Takahiro , Isoda Norikazu , Sakoda Yoshihiro , Mine Junki , Miyazawa Kohtaro , Onuma Manabu , Uchida Yuko
Published: September 2023

In the fall of 2022, high pathogenicity avian influenza viruses (HPAIVs) were detected from raptors and geese in Japan, a month earlier than in past years, indicating a shift in detection patterns. In this study, we conducted a phylogenetic analysis on H5N1 HPAIVs detected from six wild birds during the 2022/2023 season to determine their genetic origins. Our findings revealed that these HPAIVs belong to the G2 group within clade 2.3.4.4b, with all isolates classified into three subgroups: G2b, G2d, and G2c. The genetic background of the G2b virus (a peregrine falcon-derived strain) and G2d viruses (two raptors and two geese-derived strains) were the same as those detected in Japan in the 2021/2022 season. Since no HPAI cases were reported in Japan during the summer of 2022, it is probable that migratory birds reintroduced the G2b and G2d viruses. Conversely, the G2c virus (a raptor-derived strain) was first recognized in Japan in the fall of 2022. This strain might share a common ancestor with HPAIVs from Asia and West Siberia observed in the 2021/2022 season. The early migration of waterfowl to Japan in the fall of 2022 could have facilitated the early invasion of HPAIVs.
A Simplified Method for Effective Calculation of 3D Slope Reliability
Authors: Chen Juxiang , Zhu Dayong , Zhu Yalin
Published: September 2023

Traditional 3D slope reliability analysis methods have high computational costs and are difficult to popularize in engineering practice. Under the framework of the limit equilibrium method with 3D slip surface normal stress correction, the critical horizontal acceleration coefficient Kc, which is equivalent to the safety factor Fs, is selected to characterize the slope stability. The limit state function uses the difference between Kc and the known critical value Kc0. A simplified method for calculating the reliability of 3D slope is proposed. Through two typical slope examples, the 3D reliability calculation results of six methods after coupling two limit state functions and three reliability algorithms are compared. The results show that this method is reliable and effective, and the method coupled with subset simulation (SS) is the one with good calculation accuracy and efficiency. In the case of long slopes, 2D analysis results may underestimate the probability of slope instability, and 3D reliability of the slope must be analyzed.
EVOLUÇÃO QUATERNÁRIA DE UMA MONTANHA TROPICAL: O PLANALTO DE CAMPOS DO JORDÃO SÃO PAULO
Authors: Modenesi May Christine
Published: September 2023

No planalto de Campos do Jordão, a análise do modelado e da estrutura superficial da paisagem evidencia a ocorrência de variações climáticas recentes e a desaceleração das atividades denudacionais no decorrer do Quaternário. Importantes e profundos movimentos de massa pleistocênicos, responsáveis pela formação de anfiteatros de erosão, foram substituídos, no Holoceno, por processos de menor agressividade erosiva, documentados por seqüências coluviais com paleossolos intercalados. Pequenas mudanças na cobertura vegetal - detectadas pelo estudo palinológico de sedimentos turfosos - sugerem, ainda, variação das condições climáticas intra-holocênicas.
CANAL DE PEREIRA BARRETO: LOCAL DE TRANSIÇÃO ENTRE OS ARENITOS CAIUÁ, SANTO ANASTÁCIO E ADAMANTINA
Authors: Suguicw Kenitiro , Barcelos José Humberto , Guedes Mario Gramani , Verdiani Antonio Carlos
Published: September 2023

Na região Noroeste do Estado de São Paulo, encontra-se em construção o Canal de Pereira Barreto, que ligará os reservatórios das Usinas Hidroelétricas de Ilha Solteira (Rio Paraná) e Três Irmãos (Rio Tietê), esta, ainda em fase de obras. Este canal corta arenitos cretácicos, cujas caracteristicas de campo, observáveis em afloramentos da parte escavada até meados de 19R4, permitem atribuí-Ios principalmente à Formação Santo Anastácio. São seguidos, com menor expressão, de arenitos das formações Caiuá e Adamantina, todos pertencentes ao Grupo Bauru, de idade cretácica. Eles se apresentam encimados por espessuras variáveis de manto de intemperismo, aqui denominados de solos residuais, que resultam do intemperísmo dos arenitos e representam um evento pós-cretácico. Além disso, estão também presentes sedimentos cohiviais seguidos de aluviais, que devem ser de idade cenozóica. As análises granulométricas dos sedimentos vieram confirmar não somente a presença das unidades litológicas reconhecidas no campo, bem como os seus paleoambientes deposicionais essencialmente fluviais. A transição entre as unidades cretácicas parece ser gradual e provavelmente interdigitada, como têm sído admitida por diversos autores. Deste modo, os seus limites poderiam ser traçados somente de maneira mais ou menos arbitrária. As camadas lenticulares de calcrete e os tipos de argilo-minerais presentes na Formação Santo Anastácio, quando analisados no contexto geológico em que se acham inseridos, ensejam a interpretação do paleoclima reinante durante a sua sedimentação, como quente e seco (semi-árido).
Reflection of Consonant Phonemes /b/ dan/d/ in Toba Batak Language into /p/dan /t/ in Angkola Batak Language
Authors: Hasibuan Alika Sandra , Widayati Dwi , Dardanila Dardanila
Published: September 2023

The aim of this research was to describe the reflection of consonant phonemes /b/ and /d/ in Toba Batak language into /p/ and /t/ in Angkola Batak language. The theory used in this paper was the theory of Comparative Historical Linguistics which consists of two views, namely Types of Phonetic Changes and Types of Phonological Processes. The method used by the author was a comparative method between the Toba Batak language and the Angkola Batak language with a focused on the phoneme changes /b/ to /p/ and /d/ to /t/ in both languages. Based on the analysis described in the discussion chapter, it can be concluded that the consonant reflection phonemes /b/ and /d/ in Toba Batak language undergo linear changed to /p/ and /t/ in Angkola Batak language in the initial, middle and final positions. The changing included b > p and d > t, the changed occured consistently in the initial, middle and the final positions
The Transition of Lauw Ping Nio’s Portrait (Nyonya Meneer) from the Jamu Cap Nyonya Meneer brand to the Minyak Telon brand owned by PT Bhumi Empon Mustiko due to Bankruptcy of PT Perindustrian Nyonya Meneer
Authors: Alief Ardinovan Junico , Aritonang Parulian Paidi
Published: September 2023

This article aims to analyze Intellectual Property Rights, particularly Trademark Rights, as a form of protection for individuals who create creative works. This research uses a doctrinal approach in the field of law. The data is collected through qualitative analysis. This analysis focuses on the transition of the Lauw Ping Nio Portrait (Nyonya Meneer) from the “Jamu Cap Nyonya Meneer” brand to the “Minyak Telon” brand owbned by PT Bhumi Empon Mustiko. The results of this study conclude that the transition is legally valid, based on the state of bankruptcy of PT Nyonya Meneer.
The Kampala Convention and Challenges to Geopolitical Security
Authors: Bamidele Seun , Pikirayi Innocent
Published: September 2023

The AU Kampala Convention aims to ensure that the states that have signed the treaty protect and assist internally displaced persons (IDPs) in their regions to establish geopolitical security, which is threatened by the inevitability, volume and heterogeneity of forced displacement. This article interrogates the link between the Kampala Convention and the minimisation of interstate conflict through a political will to tackle the challenge of forced displacement amongst member states the cooperation and integration of which would contribute to geopolitical security. Thus, using secondary data, the author determines how addressing large-scale forced displacement in the region can improve geopolitical security. Thus, based on an extensive review of relevant IDP issues in Africa, attention is paid to displacement trends on the continent, factors precipitating displacement and the flow of IDPs across the region, a current analysis of the AU Kampala Convention framework, the challenges to African geopolitical security and responsibility-sharing amongst African states. The author concludes that there should be synergy between host and displaced communities for integration and the provision of opportunities for IDPs to regain their livelihoods. Therefore, African states need to adapt and implement, as a matter of urgency, national, regional and international policies to solve the challenges of internal displacement in Africa and ensure geopolitical security.
DESIGN AND PERFORMANCE TEST OF REMOTE CONTROL SYSTEM FOR SMALL VEGETABLE PLANTER BASED ON ARDUINO
Authors: ZHANG Yinping , WANG Bin , LI Xin , ZHOU Hua , LU Fangyuan , WANG Jiasheng
Published: September 2023

Facilities greenhouses are relatively narrow and airtight, and the machine operation turns frequently. The existing vegetable seeders is supported by manual hand, and the straightness of operation is poor, Turning around is time-consuming and laborious. This paper designs a remote control system of small vegetable seeder based on Arduino microcontroller, the Arduino single-chip microcomputer remote control technology, multi-motor synchronous drive technology, differential-electric push rod combined with lifting and steering control and other methods are adopted, Through remote control, the forward, speed regulation, lifting of the whole machine and field line change and steering of the seeder during vegetable sowing are realized. The differential steering model and brushless motor speed control model are established, and the android human-computer interaction APP is designed to realize the remote precise control of vegetable seeder. The performance test of the accuracy of the control system was carried out with the accuracy and steering accuracy of the seeder. The results showed that : under the condition of medium speed and medium and low speed operation, the seeding level of vegetable seeder is the most stable and reliable, the speed deviation rate of the seeder is 1.59 %, after starting the drive motor for 2s, the actual speed is close to the target speed, differential steering is relatively accurate, the qualified rate of steering is more than 89.8 %, the synchronous speed error of the lifting mechanism tends to be stable.This study can provide reference for the development of intelligent equipment for facility agriculture.
Reliability of piezoelectric films for MEMS
Authors: Trolier-McKinstry Susan , Zhu Wanlin , Akkopru-Akgun Betul , He Fan , Ko Song Won , Fragkiadakis Charalampos , Mardilovich Peter
Published: September 2023

Thin films based on PbZr1−x
Ti
x
O3 and K1−x
Na
x
NbO3 are increasingly being commercialized in piezoelectric MEMS due to the comparatively low drive voltages required relative to bulk actuators, as well as the facile approach to making sensor or actuator arrays. As these materials are incorporated into devices, it is critically important that they operate reliably over the lifetime of the system. This paper discusses some of the factors controlling the electrical and electromechanical reliability of lead zirconate titanate (PZT)-based piezoMEMS films. In particular, it will be shown the gradients in the Zr/Ti ratio through the depth of the films are useful in increasing the lifetime of the films under DC electrical stresses.
PENGARUH EDUKASI KESELAMATAN DAN KESEHATAN KERJA (K3) TERHADAP PENINGKATAN PENGETAHUAN PETANI BAWANG DI KABUPATEN KENDAL
Authors: Permatasari Indah
Published: September 2023

Indonesia merupakan negara dengan 70% jumlah penduduknya bekerja di sektor informal. Salah satu pekerja sektor informal di Indonesia adalah petani. Badan Pusat Statistik tahun 2022 memperkirakan hingga saat ini sekitar 40 juta penduduk bekerja sebagai petani. Jawa Tengah merupakan provinsi yang cukup tinggi jumlah pertaniannya, bahkan disebut sebagai lumbung padi kedua di Indonesia setelah Jawa Timur. Banyaknya jumlah petani dan luasnya lahan pertanian, masih belum membuat banyak pihak memperhatikan hak petani seperti hak memperoleh perlindungan keselamatan dan kesehatan kerja (K3). Kebaruan dalam penelitian ini menganalisis pengaruh edukasi K3 terhadap peningkatan pengetahuan petani bawang. Penelitian ini bertujuan untuk menganalisis pengaruh edukasi K3 yang diberikan kepada petani terkait pengetahuan keselamatan dan kesehatan kerja yang merupakan salah satu indikator K3. Sampel penelitian sebanyak 31 responden yang dipilih menggunakan teknik accidental sampling yaitu memilih responden yang berpartisipasi dalam penelitian. Pertimbangan pemilihan responden juga berdasarkan saran dari stakeholder berpengaruh di lingkungan pertanian kabupaten Kendal. Data diolah menggunakan uji Wilcoxon. Hasil penelitian diperoleh nilai Z (-.2714) dengan P-value 0.007 atau kurang dari alpha 0.05 menunjukkan terdapat peningkatan pengetahuan petani setelah diberi edukasi K3. Adapun keefektifan intervensi diukur menggunakan skor N-gain dan menunjukkan pengaruh edukasi yang diberikan cukup efektif untuk meningkatkan pengetahuan sebesar 59.17%. Kesimpulan terdapat peningkatan pengetahuan petani terkait K3 setelah diberi edukasi keselamatan dan kesehatan kerja (K3).
Efektivitas Penerapan Model Problem Based Learning (PBL) dalam Pembelajaran Tematik Kelas V SDN 36 Pontianak Kota
Authors: Nurhatasa Nurhatasa , Hamdani Hamdani , Salimi Asmayani
Published: September 2023

This study uses a quantitative method and is a sort of descriptive research. The purpose of this study is to evaluate and describe the success of using the problem-based learning (PBL) model in thematic learning in class V of SDN 36 Pontianak Kota as measured by 4 indicators: management of learning implementation, student learning activities, student learning outcomes, and student responses. One teacher of class Va and all 31 pupils in class Va served as the study's subjects. Observation, tests, and questionnaires are the three methods of gathering data, and the tools utilized are observational or test questions, questionnaire sheets, and observational or observation sheets. The study's findings show that, with a percentage of 94%, the management of learning implementation is rated as "very good". With a proportion of 97%, student learning activities fall under the "Very active" category. Only 20 out of 30 pupils in class Va successfully complete the classical curriculum, with the learning results being only 67%. Additionally, with a proportion of 97.77%, student answers fall into the "Very Positive" category. The application of the Problem Based Learning (PBL) model in thematic learning for class V SDN 36 Pontianak City is declared "Ineffective" based on the findings of the research that has been presented, as there is one indicator that does not meet the effective criteria, namely the indicator of student learning outcomes.
Pengembangan Media Pembelajaran Berbasis Android Subtema 1 Keberagaman Budaya Bangsaku pada Kelas IV SD/MI
Authors: Budi Irwan Setia , Kholik Abd. , Abidin Zainal
Published: September 2023

This study aims to determine the level of success of students' interest in learning when using Android-based learning media in subtopic 1 learning outcomes of the Cultural Diversity of My Nation. . The subjects of this research were at MI Al Falah 1 Kadur Pamekasan. The subjects of this research were Class IV students at MI Al Falah 1 Kadur Pamekasan. The results showed that the use of interactive and live video learning materials had an impact on the learning outcomes of subtopic 1 about the cultural diversity of my society. This can be seen after the t test was carried out. We can all know that the final result of checking the product is to get t_count = 2.954, namely left check, so t_count = 2.954 > t_table = 1.710 whereas ????0 is rejected and ????1 is accepted. Then it can be calculated that the results show greater t_count and t_table 0 is rejected while 1 is accepted, so that there is a significant difference between student scores before and after using learning material from Android feature-based cartoon comics (66.33 > 40.73). shows that the last test is better than the previous test. The conclusion drawn is that interactive animated video media based on Android social research papers "Android-Based Bench Cultural Diversity" is proven to be able to increase student interest in learning. students and have improved their abilities.
Cognitive Learning Theory and Its Application in Learning Islamic Religious Education at SMK Muhmmadiyah 1 Sumedang
Authors: Sundari Susan , Tarsono Tarsono
Published: September 2023

Cognitive theory is an important aspect of educational theory, but it is nevertheless misunderstood by some educators.  Interestingly, by the beginning of the 15th century, Muslim scholars had begun to emphasize the importance of returning to Islamic teachings based on the Quran and Hadith.  It could be that modern theories of learning are rooted in these Islamic teachings or at least have equivalents that can be found.  By examining the theoretical concepts of cognitive learning through the lens of Islamic education, this study aims to compare and distinguish Western concepts from those sourced from the Qur'an and Hadith.  The research methodology used is literature research, which involves searching for in-depth literature on cognitive learning theory and Islamic education. From the point of view of Islamic education, the findings of this study show that cognitive theory must prioritize the development of students' thinking abilities while still paying attention to their physical and psychological growth.  In addition, the study emphasizes that the process of transmitting knowledge is integral, and educators hold an important responsibility in facilitating the cognitive expansion of their students.
Deep Learning in Surgical Workflow Analysis: A Review of Phase and Step Recognition
Authors: Demir Kubilay Can , Schieber Hannah , Weise Tobias , Roth Daniel , Maier Andreas , Yang Seung Hee
Published: September 2023

Objective: In the last two decades, there has been a growing interest in exploring surgical procedures with statistical models to analyze operations at different semantic levels. This information is necessary for developing context-aware intelligent systems, which can assist the physicians during operations, evaluate procedures afterward or help the management team to effectively utilize the operating room. The objective is to extract reliable patterns from surgical data for the robust estimation of surgical activities performed during operations. The purpose of this paper is to review the state-of-the-art deep learning methods that have been published after 2018 for analyzing surgical workflows, with a focus on phase and step recognition. Methods: Three databases, IEEE Xplore, Scopus, and PubMed were searched, and additional studies are added through a manual search. After the database search, 343 studies were screened and a total of 44 studies are selected for this review. Conclusion: The use of temporal information is essential for identifying the next surgical action. Contemporary methods used mainly RNNs, hierarchical CNNs, and Transformers to preserve long-distance temporal relations. The lack of large publicly available datasets for various procedures is a great challenge for the development of new and robust models. As supervised learning strategies are used to show proof-of-concept, self-supervised, semi-supervised, or active learning methods are used to mitigate dependency on annotated data. Significance: The present study provides a comprehensive review of recent methods in surgical workflow analysis, summarizes commonly used architectures, datasets, and discusses challenges.
From Goals to Actions: Providing Guidance to Software Practitioners with KPIs
Authors: Fatima Iffat , Funke Markus , Lago Patricia
Published: September 2023

Monitoring performance in organizations can act as a catalyst for fostering a culture of continuous improvement to achieve their overarching business goals. Organizations employ Key Performance Indicators (KPIs) to monitor their performance over-time. However, a common pitfall observed is the collection of excessive data and fails to establish its intended connection to strategic goals. In this study, we propose a KPI framework in the form of a model, an associated template, and a checklist with the aim of providing guidance to practitioners for developing sound KPIs. We examine KPI development and monitoring through four case studies in the context of software systems in two organizations. Through these case studies, we evaluate our KPI framework for its utility in practice and gain insights to uncover underlying challenges.
Beyond the Surface of Digital Contact Tracing: Delving into the Interconnected World of Technology, Individuals, and Society
Authors: Hu-Bolz Jiejun , Farrahi Katayoun , cebrian Manuel
Published: September 2023

Digital Contact Tracing (DCT) is a great example of information systems assisting societal problems. However, privacy concerns lead to reduced DCT adoption rates. When dealing with critical societal issues, policymakers seek to use various strategies, such as interventions and financial subsidies, to steer the behavors of individuals. This causes individuals to face a sophisticated decision-making process when coping with the public health crisis and the adoption of DCT, i.e., giving up privacy and freedom to gain information to remain healthy. In this paper, we consider a scenario, where policymakers allocate rewards to individuals to motivate their compliance with the interventions; And the individuals decide the optimal compliance effort based on their health state, privacy loss, interaction with their neighbors, and rewards. To tackle the trade-off between a number of individuals and policymakers, in this paper, we propose a Leader-Followers Mean-Field Game model to analyze this time-dependent, dynamic, and large-scale decision-making problem. The numerical results demonstrate that by allocating appropriate rewards, policymakers can play a role in guiding the behavior of individuals in various scenarios.
El valor identidad cultural. Consideraciones metodológicas para su formación, a través de las esculturas
Authors: Quiala Martínez Luís René , González Pérez Ermis
Published: September 2023

El artículo aborda los resultados de un proyecto de investigación relacionado con la formación de valores a través del trabajo con las esculturas, como parte de la formación integral de los estudiantes universitarios. Idea rectora del Modelo de Formación de la sociedad cubana actual, que se refiere a centrar la labor de la comunicación pública, en la formación de valores de los profesionales. En el trabajo se aportan elementos sobre la concepción del valor identidad, que se debe jerarquizar como núcleo del sistema de valores que se pondera institucionalmente en las diversas carreras universitarias y se identifica el potencial axiológico de la escultura al respecto. También se ofrecen consideraciones metodológicas para la formación del valor identidad cultural, a partir del potencial axiológico de las esculturas, que contienen: las etapas en que se organizan las actividades de interacción con las esculturas, un ejemplo de estas y posibles técnicas participativas a utilizar en las mismas, para contribuir a elevar la calidad del proceso formativo en la Educación Superior Cubana y en particular en la carrera Comunicación Social.
Transcultura axiológica en la educación desde la mirada de los docentes universitarios
Authors: Saavedra Peña Francis Soledad
Published: September 2023

El propósito esencial de este trabajo es revelar algunos elementos esenciales que caracterizan la relación entre Cultura, Axiología y formación ciudadana como pilares en la transformación de la comunidad universitaria. Esto implica que la formación debe traspasar los límites de lo instructivo y centrar su atención en el ser humano, en el desarrollo de su personalidad, y por tanto en aspectos significativos, conscientes del compromiso social, como principal prioridad. Tradicionalmente, la educación ha sido entendida como el medio para facilitar el aprendizaje a partir de la producción de conocimientos como vía para el desarrollo de valores. Cuando hablamos de valores, estos se vinculan inmediatamente a la acción pedagógica. No hay educación si no tiene valores en sí misma dado que su acción apunta al perfeccionamiento del hombre que la recibe, lo que la hace valiosa en sí misma. Por su parte, la educación transcultural se orienta a respetar y valorar las diferencias culturales, fomentando el diálogo y el entendimiento mutuo. Gran parte de lo mono-cultural se basa en la idea de que el único conocimiento válido es el conocimiento científico, académico e institucionalizado, despreciando y subestimando otras epistemologías, consideradas poco rigurosas. En este sentido, la axiológica transcultural se convierte en una herramienta fundamental para transferir valores universales y promover el respeto, la tolerancia y la aceptación de la diversidad cultural. Se debe promover la interculturalidad en las aulas y promover un diálogo con respeto a la alteridad y valores universales, que conduzca a una sociedad más justa, equitativa, inclusiva y humanista. Una axiología pertinente a la educación implica una relación con los valores personales y sociales del individuo. Las actitudes positivas del docente hacia la axiología educativa, deben permitir que, además de transmitir conocimientos, sirvan para mejorar las relaciones interpersonales de todo el personal que labora dentro de estos establecimientos educativos.
Análisis del Progreso y Desempeño de Programas de Desarrollo Social. Caso: " Agenda Regional Comuna 1 Ciudad Futura, Uniminuto
Authors: Dugarte Mendoza Juan Sebastián , Hernández Bueno Nelson Javier , Pinzón Velasco Claudia Consuelo , Rodríguez Quiñónez Diana Alexandra , Niño Liévano Fabio Augusto , Rueda Mahecha Yohanna Milena , Gualdrón Porras Tatiana , Caballero Márquez José Alonso , Suarez Suarez David Andrés , Silva Giraldo Cesar Augusto , Ramírez Oliveros Erika Patricia
Published: September 2023

La investigación analiza el desempeño y progreso del programa “Agenda Regional: Comuna 1 Ciudad Futura” de la Corporación Universitaria Minuto de Dios (UNIMINUTO) en Bucaramanga, Colombia, que integra proyectos en educación, organización comunitaria, productividad y sostenibilidad. Se aplicaron teorías como la Teoría del Cambio y Evaluación de Impacto Social y Ambiental, y la Gestión de la Realización de Beneficios. Utilizando un enfoque mixto y diseño descriptivo, se evaluó el progreso y desempeño de los proyectos.

Los resultados indican un cumplimiento de 0.77 en el análisis multidimensional por proyecto. Se evidencia una buena gestión de proyectos y enfoque transdisciplinario, pero hay deficiencias en las variables sostenibilidad, evaluación de impacto, comunicación y reporte, y beneficios. Es necesario fortalecer los procesos de gestión, enfocándose en la creación de valor económico en las comunidades y la identificación de métricas para comprender el progreso y desempeño. La implementación de métricas permitirá la aplicación de técnicas de monitoreo y control más robustas. Se sugiere el desarrollo de actividades para mejorar la comunicación y difusión de los logros del programa.