bluuebunny/crossref_metadata_2025 huggingface dataset:
Tidal Variability of Chl-a in the Indonesian Seas
Authors: Zaron Edward D. , Capuano Tonia A. , Koch-Larrouy Ariane
Published: August 2022

Abstract. Harmonic analysis of time series from 20 years of MODIS-Aqua ocean color observations (2002–2022) is conducted to identify periodic variability of near-surface chlorophyll (Chl-a) inferred from ocean color. As they are based on satellite imagery, the Chl-a observations are characterized by significant gaps in both spatial and temporal coverage due to the masking of clouds in the images. Results yield a coherent picture of surface Chl-a associated with the time mean, annual and semiannual cycles, and spring-neap tidal variability. Spring-neap variability is heterogeneous and associated with regions of significant baroclinic tides as well as coastal regions with strong tidal currents. The observations provide another line of evidence for the significant contribution of ocean tides to mixing in the Indonesian Seas.
Extension of Ekman (1905) wind-driven transport theory to the β-plane
Authors: Paldor Nathan , Friedland Lazar
Published: August 2022

Abstract. The seminal, Ekman (1905)’s, f-plane theory of wind driven transport at the ocean surface is extended to the β-plane by substituting the pseudo angular momentum for the zonal velocity in the Lagrangian equation. The addition of the β term implies that equations become nonlinear, which greatly complicates the analysis. Though rotation relates the momentum equations in the zonal and the meridional directions, the transformation to pseudo angular momentum greatly simplifies the longitudinal dynamics, which yields a clear description of the meridional dynamics in terms of a slow drift compounded by fast oscillations, which can then be applied to describe the motion in the zonal direction. Both analytical expressions and numerical calculations underscore the critical role of the equator in determining the trajectories of water columns forced by eastward directed wind stress even when the water columns are far from the equator. Our results demonstrate that the averaged motion in the zonal direction is highly dependent on the meridional oscillations and for some initial conditions can be as large as the meridional mean motion.
wavetrisk-2.1: an adaptive dynamical core for ocean modelling
Authors: Kevlahan Nicholas K.-R. , Lemarié Florian
Published: August 2022

Abstract. This paper introduces wavetrisk-2.1 (i.e. wavetrisk-ocean), an incompressible version of the
atmosphere model wavetrisk-1.x with free surface. This new model is built on the same
wavelet-based dynamically adaptive core as wavetrisk, which itself
uses dynamico's mimetic vector-invariant multilayer rotating shallow water
formulation. Both codes use a Lagrangian vertical coordinate with
conservative remapping. The ocean variant solves the incompressible
multilayer shallow water equations with inhomogeneous density layers. Time integration uses barotropic–baroclinic mode splitting via an semi-implicit free surface
formulation, which is about 34–44 times faster than an unsplit explicit time-stepping. The barotropic and baroclinic estimates of the free surface
are reconciled at each time step using layer dilation. No slip
boundary conditions at coastlines are approximated using volume
penalization. The vertical eddy viscosity and diffusivity coefficients are computed from a closure model based on turbulent kinetic energy (TKE). Results are presented for a standard set of ocean model test cases adapted to the sphere (seamount, upwelling and baroclinic turbulence). An innovative feature
of wavetrisk-ocean is that it could be coupled easily to the wavetrisk
atmosphere model, thus providing a first building block toward an integrated Earth system model using a consistent modelling framework with dynamic mesh adaptivity and mimetic properties.
Estimating karst groundwater recharge from soil moisture observations – A new method tested at the Swabian Alb, Southwest Germany
Authors: Berthelin Romane , Olarinoye Tunde , Rinderer Michael , Mudarra Matías , Demand Dominic , Scheller Mirjam , Hartmann Andreas
Published: August 2022

Abstract. Understanding groundwater recharge processes is important for sustainable water resource management. Experimental approaches to study recharge in karst areas often focus on analysing the aquifer response using a disintegration of its outlet signals, but only a few directly investigate the recharge processes that occur at the surface of the system. Soil moisture measurements have a high potential to investigate water infiltration to deeper soil depth or epikarst with an easy and not too intrusive installation. They can yield long-term measurements with high temporal resolution. Using these advantages, we developed and tested a method to estimate recharge based on soil moisture measurements. The method consists of the extraction of linked events in rainfall-, soil moisture and discharge time series and a subsequent fitting of the parameters of a simple drainage model to calculate karst recharge from soil moisture metrics of individual events. The fitted parameters could be interpreted in physically meaningful terms and were related to the properties of the karstic system. The model was tested and validated in a karst catchment located in Southwest Germany with hourly precipitation, soil moisture, and discharge data of eight years duration. The soil moisture measurements were distributed among grassland (n = 8) and woodland areas (n = 7) at 20 cm depth. A threshold of about 35 % (±8 %) of volumetric water content was necessary to initiate effective infiltration. Soil moisture averaged during the wetting period of each event was the best metric for the prediction of recharge. The model performed reasonably well estimating recharge during single rainfall events. It was also capable to simulate 88 % of the average annual recharge volume despite considerable differences in the performance between years. The event-based approach is potentially applicable to other karstic systems where soil moisture and precipitation measurements are available to predict karst groundwater recharge.
Insights into the vulnerability of vegetation to tephra fallouts from interpretable machine learning and big Earth observation data
Authors: Biass Sébastien , Jenkins Susanna F. , Aeberhard William H. , Delmelle Pierre , Wilson Thomas
Published: August 2022

Abstract. Although the generally high fertility of volcanic soils is often seen as an
opportunity, short-term consequences of eruptions on natural and cultivated
vegetation are likely to be negative. The empirical knowledge obtained from
post-event impact assessments provides crucial insights into the range of
parameters controlling impact and recovery of vegetation, but their limited
coverage in time and space offers a limited sample of all possible eruptive
and environmental conditions. Consequently, vegetation vulnerability remains
largely unconstrained, thus impeding quantitative risk analyses. Here, we explore how cloud-based big Earth observation data, remote sensing
and interpretable machine learning (ML) can provide a large-scale
alternative to identify the nature of, and infer relationships between,
drivers controlling vegetation impact and recovery. We present a methodology
developed using Google Earth Engine to systematically revisit the impact of
past eruptions and constrain critical hazard and vulnerability parameters.
Its application to the impact associated with the tephra fallout from the
2011 eruption of Cordón Caulle volcano (Chile) reveals its ability to
capture different impact states as a function of hazard and environmental
parameters and highlights feedbacks and thresholds controlling impact and
recovery of both natural and cultivated vegetation. We therefore conclude
that big Earth observation (EO) data and machine learning complement existing impact datasets
and open the way to a new type of dynamic and large-scale vulnerability
models.
Grain-size evolution controls the accumulation dependence of modelled firn thickness
Authors: Kingslake Jonathan , Skarbek Robert , Case Elizabeth , McCarthy Christine
Published: August 2022

Abstract. The net rate of snow accumulation b is predicted to increase over large areas of the Antarctic and Greenland ice sheets as the climate warms. Models disagree on how this will affect the thickness of the firn layer – the relatively low-density upper layer of the ice sheets that influences altimetric observations of ice sheet mass change and palaeo-climate reconstructions from ice cores. Here we examine how b influences firn compaction and porosity in a simplified model that accounts for mass conservation, dry firn compaction, grain-size evolution, and the impact of grain size on firn compaction. Treating b as a boundary condition and employing an Eulerian reference frame helps to untangle the factors controlling the b dependence of firn thickness. We present numerical simulations using the model, as well as simplified steady-state approximations to the full model, to demonstrate how the downward advection of porosity and grain size are both affected by b but have opposing impacts on firn thickness. The net result is that firn thickness increases with b and that the strength of this dependence increases with increasing surface grain size. We also quantify the circumstances under which porosity advection and grain-size advection balance exactly, which counterintuitively renders steady-state firn thickness independent of b. These findings are qualitatively independent of the stress-dependence of firn compaction and whether the thickness of the ice sheet is increasing, decreasing, or steady. They do depend on the grain-size dependence of firn compaction. Firn models usually ignore grain-size evolution, but we highlight the complex effect it can have on firn thickness when included in a simplified model. This work motivates future efforts to better observationally constrain the rheological effect of grain size in firn.
Effects of Surface Preparation with Sodium Hypochlorite on Shear Bond Strength and Residual Adhesive of Orthodontic Brackets on Primary and Permanent Teeth
Authors: ARSLAN Can , ÜSTÜN Nilüfer , CESUR Emre
Published: August 2022

Objective: To investigate the effects of surface preparation with sodium hypochlorite (NaOCl) on bracket shear bond strength and amount of residual adhesive on primary and permanent teeth.

Materials and Methods: 24 permanent premolars, 12 in each group (groups I and III), and 24 primary molars, 12 in each group (groups II and IV) were included. In group I and II, 37% phosphoric acid was applied to the tooth surfaces, without using any other agent. In Group III and IV, 5.25% NaOCl was first applied. Following washing and drying, surface roughening was performed with phosphoric acid. The shear bond strengths (SBS) of the brackets bonded to the tooth surfaces was measured. After debonding, the base of each bracket was examined for adhesive remnant index (ARI) scores.

Results: There were no statistically significant differences in SBS values between primary and permanent teeth with and without preparation with NaOCl(P>0.05). Mean SBS(18.55±14.98 MPa) was higher in permanent premolars subjected to surface deproteinization with NaOCl (group III) when compared with other groups, but the difference was not significant. There was no significant difference in ARI scores between the groups.

Conclusions: The bond strength of orthodontic brackets or the distribution of ARI scores were similar between groups with and without NaOCl pretreatment. Hence, it can be concluded that conventional bonding procedures applied without any additional preparation to primary teeth are sufficient and the debonding of brackets didn’t cause any harm to enamel surfaces.
Politics of International Advocacy Against the Death Penalty: Governments as Anti–Death Penalty Crusaders
Authors: Sato Mai
Published: August 2022

Two-thirds of the countries worldwide have moved away from the death penalty in law or in practice, with global and regional organisations as well as individual governments working towards universal abolition. This article critically examines the narratives of these abolitionist governments that have abolished the death penalty in their country and have adopted the role of ‘moral crusaders’ (Becker 1963) in pursuit of global abolition. In 2018, the Australian Government, while being surrounded by retentionist states in Asia, joined the anti–death penalty enterprise along with the European Union, the United Kingdom and Norway. Using the concepts of ‘moral crusader’ (Becker 1963) and ‘performativity’ (Butler 1993), this article argues that advocacy must be acted on repeatedly for governments to be anti–death penalty advocates. Otherwise, these government efforts serve political ends in appearance but are simply a self-serving form of advocacy in practice.
Ambivalent Abolitionism in the 1920s: New South Wales, Australia
Authors: Strange Carolyn
Published: August 2022

In the former penal colony of New South Wales (NSW), a Labor government attempted what its counterpart in Queensland had achieved in 1922: the abolition of the death penalty. Although NSW’s unelected Legislative Council scuttled Labor’s 1925 bill, the party’s prevarication over capital punishment and the government’s poor management of the campaign thwarted abolition for a further three decades. However, NSW’s failure must be analysed in light of ambivalent abolitionism that prevailed in Britain and the US in the postwar decade. In this wider context, Queensland, rather than NSW, was the abolitionist outlier.
Framing Death Penalty Politics in Malaysia
Authors: Kananatu Thaatchaayini
Published: August 2022

The death penalty in Malaysia is a British colonial legacy that has undergone significant scrutiny in recent times. While the Malaysian Federal Constitution 1957 provides that ‘no person shall be deprived of his life or personal liberty save in accordance with law’, there are several criminal offences (including drug-related crimes) that impose the mandatory and discretionary death penalty. Using Benford and Snow’s framing processes, this paper reviews death penalty politics in Malaysia by analysing the rhetoric of abolitionists and retentionists. The abolitionists, comprising activist lawyers and non-government organisations, tend to use ‘human rights’ and ‘injustice’ frames, which humanise the ‘criminal’ and gain international support. The retentionists, such as victims’ families, use a ‘victims’ justice’ frame emphasising the ‘inhuman’ nature of violent crimes. In addition, the retentionist state shifts between ‘national security’ and ‘national development’ frames. This paper finds that death penalty politics in Malaysia is predominantly a politics of framing.
Razão Científica Universal e a concepção da unidade metodológica da ciência empírica em Carl Gustav Hempel
Authors: Campos Gonçalves Sérgio
Published: August 2022

Este artigo procura compreender a concepção de Carl Gustav Hempel acerca do conhecimento científico por meio de sua trajetória acadêmica e da exegese parcial de sua obra. Trata-se de apresentar especificamente uma descrição da reflexão de Hempel sobre a lógica da cientificidade do conhecimento como decorrente da adoção de critérios de validade científica concebidos no século XIX. Observa-se que, para Hempel, a razão científica admitiria graus variantes de significância que dependeriam do pertencimento a sistemas teóricos empíricos ou não-empíricos. Com isso, haveria graus diferentes de possibilidade empírica entre a ciência natural e a ciência histórica, mas essa gradação, defende Hempel, estaria dentro de uma unidade metodológica para todas as áreas da ciência.
The Effect Of Price Perception And Personal Selling On Car Purchase Decisions At PTArista Jaya Lestari – Wuling Jayakarta
Authors: Sitorus Marison , Syahla Calista
Published: August 2022

This research aims to determine the effect of price perception and personal selling both partially and simultaneously on Car Purchase Decision at PT Arista Jaya Lestari – Wuling Jayakarta. This study uses the independent variables price perception (X1) and personal selling (X2) as well as the dependent variable purchasing decisions (Y). This analysis uses quantitative methods using probability sampling with simple random sampling techniques. The analytical method used is multiple linear regression analysis. The data obtained is the result of primary data from distributed questionnaires and interviews and secondary data obtained from companies, books, previous journals, and articles. The sample used to fill out the questionnaire using a likert scale in this study was 83 respondents who are consumers who have made purchases Wuling car at PT Arista Jaya Lestari - Wuling Jayakarta. The data analysis used was validity and reliability test, classical assumption test, coefficient of correlation and determination test, linear multiple regression analysis, and hypothesis testing. The study's conclusion shows that price perception and personal selling simultaneously and partially have a positive and significant effect on Car Purchase Decisions at PT Arista Jaya Lestari – Wuling Jayakarta.
Buddhism in al-Fihrist of Ibn al-Nadīm
Authors:   The Institute of Middle East, Kim Seong-Hwan
Published: August 2022

This study analyzes the records related to Buddhism in Ibn al-Nadīm's al-Fihrist and examines how Muslims in the 10th century perceived Buddhism.
Al-Fihrist is a list of Arabic literature, consisting of a total of ten chapters(maqāla) and Ibn al-Nadīm recorded what he had seen and heard about Buddhism in Chapter nine. He described the character of Buddhists positively. However, he used the two terms for Buddha and Bodhisattva without distinction. He also introduced several claims about the Buddha's religious status, but did not clearly state his position on the Buddha from the Islamic perspective. Although his record mentions existence of many Buddhas, it lacks doctrinal explanation on the concept of multiple Buddhas. Also, Buddhists’ customs and statues of Buddha are described in relatively detail, but there are some parts that are confused with Hindu culture. Therefore, it seems that Muslims at that time showed some interest in external aspects of Buddhism such as Buddhist character, customs, and statues, but lacked a doctrinal understanding of Buddhism.
COMPREHENSIVE ASSESSMENT OF PRODUCTION INVESTMENT PROJECTS USING AN OPTIMIZATION MODEL
Authors:   Institute for Regional Economic Studies Russian Academy of Sciences, Andreev Valentin A.
Published: August 2022

A mathematical model is proposed for a comprehensive assessment of the development of industrial complexes of a large city in the implementation of specified investment projects for the construction of industrial enterprises. The model allows us to calculate the optimal dynamics of the state of production complexes for a given production period. The model is focused on the economy of St. Petersburg. The state of production complexes is estimated by the value of the added value created and the value of net discounted income. The optimal state of the system of production complexes for each year of the period under consideration is determined from solving the problem of maximizing the added value created by them on the set of permissible states of the system. The analysis of publicly available investment projects for the construction of waste processing plants has been carried out. Based on the results of the analysis, initial data were prepared and an experimental calculation of the dynamics of the state of St. Petersburg’s production complexes was carried out, taking into account the implementation of investment projects for the construction of two waste processing plants. Analysis of the results of experimental calculations confirmed the possibility of using the proposed model for a comprehensive assessment of investment projects for the construction of waste processing plants.
SUSTAINABLE DEVELOPMENT AND «GREEN» ECONOMY: GLOBAL TRENDS AND REGIONAL SOLUTIONS
Authors:   Financial Research Institute of the Ministry of Finance of the Russian Federation, Kabir Liudmila S. , Yakovlev Igor A. ,   Financial Research Institute of the Ministry of Finance of the Russian Federation, Rakov Ivan D. ,   Financial Research Institute of the Ministry of Finance of the Russian Federation
Published: August 2022

Today, when a global consensus has been formed on the issues of sustainable development and the role of «green» economy in this concept, the governments of the regions of the countries are sometimes ahead of the federal government in their strategic plans, trying to respond promptly to the emerging challenges to development at the global level. The purpose of this study is to investigate the degree of penetration of «green» economy principles into regional economic systems. The analysis is carried out in two directions. The first direction is to study the distribution of «green» investments. The second direction is to analyze the disclosure of the principles of the «green» economy in regional strategic planning documents. The results show that «green» investments occupy a small share of the total volume of investments and are distributed extremely unevenly across the regions of Russia. The integration of the principles of the «green» economy into the strategic documents of the subjects of the Russian Federation is due to the current problems of the region’s development. Apparently, the choice of a «green» economy is not yet conscious, the benefits of which are calculated, and the prospects are consciously evaluated. It is expected that the results of the study will be of interest to politicians who seek to solve the problem of regional development using global trends for this purpose.
Perbandingan Metode Naïve Bayes dan K-Nearest Neighbor Pada Klasifikasi Morfologi Gen Sel Darah Putih
Authors: Gumay Muhammad Nuradli Hasbi , Widiastiwi Yuni , Santoni Mayanda Mega , Yulnelly Yulnelly
Published: August 2022

Dibidang kesehatan, mendiagnosis penyakit leukemia merupakan hal yang sulit karena masih didiagnosis secara manual dengan bantuan dokter. Diagnosis manual tersebut dapat mengalami kesalahan yang disebabkan oleh kelalaian manusia. Dari permasalahan tersebut, maka dibutuhkan diagnosis jenis penyakit leukemia menggunakan kecanggihan teknologi yaitu machine learning untuk mengatasi permasalahan tersebut. Dalam penelitian ini, machine learning tersebut mengolah data yang berasal dari jenis leukemia yaitu Acute Myeloid Leukemia (AML) dan Acute Lymphoblastic Leukemia (ALL) berdasarkan ciri morfologi gen sel darah putih tersebut. Metode pengklasifikasian data yang digunakan untuk penelitian ini yaitu K-Nearest Neighbor (K-NN) dan Naïve Bayes yang kemudian kedua metode klasifikasi tersebut dibandingkan untuk melihat metode klasifikasi yang terbaik. Penelitian ini menggunakan praproses data cleaning, seleksi fitur, dan scaling untuk meningkatkan nilai akurasi. Hasil dari penelitian ini adalah metode klasifikasi K-Nearest Neighbors (K-NN) merupakan klasifikasi yang terbaik dengan nilai akurasi yang menggunakan kurva ROC/AUC bernilai 0.952 jika dibandingkan dengan metode klasifikasi Naïve Bayes yaitu 0.912.
Implementasi Framework Codeigniter Pada Sistem Informasi Pendataan Prestasi Akademik Dan Non-akademik Siswa SMA Negeri 4 Cibinong Berbasis Web
Authors: Nabila Suci , Wati Theresia
Published: August 2022

Informasi tentang inovasi data telah menjadi kebutuhan dasar yang harus dipenuhi oleh semua orang. Ini dikarenakan sebagian besar aktivitas sehari-hari seseorang yang melibatkan bantuan inovasi data, baik itu dalam pengajaran, pekerjaan institusional atau aktivitas bisnis. Sekolah adalah jenis satuan pendidikan yang terdiri dari SD, SMP, SMA/SMK, SLB dan satuan pendidikan formal yang identik lainnya agar tercapai tujuan pendidikan nasional. Salah satu hal yang sekolah dapat lakukan guna meningkatkan mutu sesuai standar yang telah ditentukan dengan mencetak prestasi siswa. Pendataan prestasi yang dilakukan di SMAN 4 Cibinong belum berjalan secara optimal karena masih bersifat konvensional. Tujuan penelitian adalah merancang sebuah sistem informasi melaporkan informasi tentang prestasi akademik dan Non-akademik siswa SMA Negeri 4 Cibinong berbasis website framework CodeIgniter. Selain itu, peneliti menggunakan metode waterfall dalam pengembangan sistem dan menggunakan Unified Modelling Language (UML) dalam pemodelan sistem serta platform berbasis website untuk membentuk sistem informasi pendataan prestasi siswa.
Telusur Sejarah Ogoh-Ogoh sebagai Manifestasi Seni Rupa Bali dari Sudut Pandang Komodifikasi Budaya
Authors: Ramadhansyah Diaz , Damajanti Irma
Published: August 2022

Ogoh-ogoh yang selama ini identik sebagai simbol tradisi budaya umat Hindu Bali dalam menyambut Tahun Baru Saka adalah sebuah produk kesenian yang baru lahir pada tahun 1980an. Karya seni ini lahir sebagai wujud kreativitas masyarakat dan berkembang dengan falsafah membersihkan energi negatif menjadi lebih baik sehingga harmonis. Pada perkembangannya, Ogoh-ogoh berkembang dengan falsafah membersihkan energi negatif menjadi lebih baik sehingga harmonis. Pada perkembangan, Ogoh-ogoh berkembang menjadi objek parawisata dan komoditas. Penelitian ini bertujuan melihat bagaimana proses komodifikasi budaya terjadi pada Ogoh-ogoh berdasarkan teori Adorno. Studi kesejarahan menunjukkan hasil bagaimana Ogoh-ogoh mulanya dibuat oleh masing-masing Banjar, lambat laun menjadi komoditas dan dapat diperjualbelikan. Pawai Ogoh-ogoh berkembang menjadi objek pariwisata sebagai tontonan dan sebagai pajangan museum. Salah satu sanggar yang terkenal memproduksi Ogoh-ogoh adalah Sanggar Gases Denpasar, dan salah satu museum Ogoh-ogoh yang ada adalah The Ogoh-ogoh Bali Museum di Denpasar.
Chinese News Text Classification and Its Application Based on Combined-Convolutional Neural Network
Authors: Kai-Feng Liu Kai-Feng Liu , Kai-Feng Liu Yu Zhang , Yu Zhang Quan-Xin Zhang , Quan-Xin Zhang Yan-Ge Wang , Yan-Ge Wang Kai-Long Gao
Published: August 2022

A method based on combined-convolutional neural network (Combined-CNN) for Chinese news text classification is proposed. First of all, in order to solve the problem of a lack of special term set for Chi-nese news classification, a vocabulary suitable for Chinese long text classification is made by construct-ing a data index method. The Word2Vec pre-trained model was used to embed the text features word vectors. Second, by optimizing the structure of the classical convolutional neural network (CNN) model, a new idea of Combined-CNN model is proposed, which solves the problem of incomplete feature ex-traction of local text blocks and improves the accuracy rate of Chinese news text classification. Effective model regularization and RAdam optimization algorithm are designed in the model to enhance the model training effect. The experimental results show that the precision of the Combined-CNN model for Chi-nese news text classification reaches 93.69%. Compared with traditional machine learning methods and deep learning algorithms, the accuracy rate is improved by a maximum of 11.82% and 1.9%, respectively, and it is better than the comparison model in Recall and F-Measure. Finally, the Chinese news classifica-tion algorithm of the Combined-CNN is applied to realize a personalized recommendation system.

 
Data Analysis of Amazon Product Based on LSTM and GPR
Authors: Zi-Yang Ye Zi-Yang Ye , Zi-Yang Ye Xuan Ji , Xuan Ji Ming-Zi Ye , Ming-Zi Ye Yu-Tong Shan , Yu-Tong Shan Xiang-Rong Shi
Published: August 2022

In this paper, we propose a method that combines models such as GPR with PSO optimization to predict the time series data. We use LSTM and TOPSIS with entropy weight method modification to process vari-ous types of data from various aspects, taking into account both tabular and textual data, and to mine valuable contents from them. Based on shopping data, we analyze the historical situation and predict the future sales of products. So that we can recommend the most suitable products for customers. At the same time, for merchants, this paper provides directions for product optimization and improvement of advertising and marketing strategies.

 
The Configuration Design of Electronic Products Based on improved NSGA-III with Information Feedback Models
Authors: Yi-Hui Chen Yi-Hui Chen , Yi-Hui Chen Heng-Zhou Ye , Heng-Zhou Ye Feng-Yi Huang
Published: August 2022

The configuration of electronic products is an important means to meet the diverse and personalized needs of users and achieve mass customization, and one of its goals is to recommend an excellent bill of material to users according to users’ individualized needs and preferences. Current research describes the configuration of electronic products as a single-objective optimization model, which suffers from the problems of single recommended configuration and difficulty in meeting the dynamic adjustment of user preferences. Therefore, we describe it as a multi-objective optimization model and propose an NSGA-III-FR algorithm to solve the model. In order to balance the convergence and diversity of the algorithm, NSGA-III-FR has made two improvements on the basis of NSGA-III with information feedback models: introducing adaptive parameters to balance NSGA-III-F1 and NSGA-III-R1; and using Angle Penalized Distance (APD) to improve the niche technology. The experimental results show that our modified meth-od can achieve better performance compared with the other three algorithms.

 
A Discrete Particle Swarm Optimization Algorithm Based on Neighbor Cognition to Solve the Problem of Social Influence Maximization
Authors: Qi-Wen Zhang Qi-Wen Zhang , Qi-Wen Zhang Qiao-Hong Bai
Published: August 2022

In view of the problem that the estimation method of node influence in social network is not comprehen-sive and the Particle Swarm Optimization (PSO) algorithm is easy to fall into the local optimal and the lo-cal search ability is insufficient. In this paper, we proposed a Neighbor Cognitive Discrete Particle Swarm Optimization (NCDPSO) algorithm. Aiming at the problem of influence in social networks, a new node influence measure method is proposed, the three-degree theory is introduced to comprehensively estimate the influence of nodes. In order to improve the global search ability of the PSO, the “neighbor cognition” factor is proposed to enhance the breadth of learning; and the following bee strategy is introduced to pro-pose particle density and survivability to control the number of elite clones, so as to solve the problem of insufficient local search ability of the algorithm. Finally, the validity of the proposed algorithm is verified by testing on real data sets and comparing with other algorithms.

 
Facial Expression Recognition Based on Improved Residual Block Network
Authors: Hong-Jie Zhang Hong-Jie Zhang , Hong-Jie Zhang Guo-Jun Lin , Guo-Jun Lin Tian-Tian Chen , Tian-Tian Chen Shun-Yong Zhou , Shun-Yong Zhou Hong-Rong Jing
Published: August 2022

Facial expression recognition is widely used, but there are some problems such as complex scenes, lack of data sets and low recognition rate. In this paper, we construct a new network model and name it RNFC. The RNFC network adopts 6 improved residual blocks to extract features. Features are passed into the fully connected layer by flattening the data, and Dropout techniques are introduced between the fully connected layers to prevent overfitting of the model. Based on the pytorch framework, we use a cross-entropy loss function to improve the training speed of the network. And perform denoising and enhancement pre-processing on the FER2013 dataset. The RNFC network is trained and tested on the pretreated FER2013. It has a higher recognition rate than classical networks such as VGGnet19 and ResNet18.

 
Recognition Model and Simulation of Busy Waters in Fishing Area Based on Density Clustering
Authors: Tian Chai Tian Chai , Tian Chai Han Xue , Han Xue Xia-Teng Zhou , Xia-Teng Zhou Jian-Zhou Liu , Jian-Zhou Liu Wen-Yi Wang
Published: August 2022

In this paper, the characteristics of the potential behavior of ships contained in AIS information are con-sidered, in order to ensure the safety of navigation in merchant ships’ fishing areas and reduce the occur-rence of collisions between commercial fishing boats. Based on the DBSCAN density clustering algorithm, the identification model of busy water in fishing areas is developed and applied to Minnan fishery in the Taiwan Strait. In addition, a real ship simulation is performed based on real traffic flow data. The results demonstrate that the proposed model can accurately identify the spatial distribution and scale of busy fishing area, adjust the algorithm parameters according to the merchant ship scale, and generate the target-ed recommended route decision for the fishing area. Finally, the STELLAR EXPRESS is compared with the original route. The obtained results show that the recommended route provides a high safety in the fishing area, while retaining the ship operating costs. The model results can be used as a reference for maritime security departments in order to divide the fishing area warning water, and the identification method provides a novel approach for the safety supervision of maritime department.

 
An Improved Cuckoo Search Algorithm Based on Inertial Weight and Scaling Factor
Authors: 楊恙 楊恙 , Yang Yang Maosheng Fu , Maosheng Fu Chaochuan Jia , Chaochuan Jia Xiancun Zhou
Published: August 2022

This paper presents a novel and an improved cuckoo search algorithm (ISCS), different from other techniques, which sets nonlinear decreasing inertia weight and adaptive scaling factor. As the iteration goes on, these two parameters are controlled by two functions to change the iterations dynamically. At the beginning of the iteration, the values of the two parameters are favorable for global search, and at the end of the iteration, their values are more favorable for local optimization. In this work, 23 classical benchmark functions are selected to improve the accuracy and convergence speed by conducting the simulation experiments on CS, ISCS and other three algorithms. The results show that the improved cuckoo algorithm enhances the accuracy of understanding and speeds up the convergence of the curves. Finally, ISCS is applied to probabilistic neural network (PPN) neural network classification and recognition technology, and the results show that the optimization of ISCS can effectively improve the classification accuracy of the test sets, and has diverse applications.

 
Morfología y viabilidad de cinco especies de semillas nativas del Altiplano
Authors: Martinez Flores Zenon , Quispe Jose Luis , Colque Aquino Grecia
Published: August 2022

Los pastos nativos del Altiplano: Bromus catharticus (cebadilla), Hordeum muticum (cola de ratón), Adesmia spinosisima (añahuaya), Trifolium amabile (layu layu) y Suaeda foliosa (q′auchi), son alimentos básicos de los animales domésticos y silvestres de altura. Producen y se propagan mediante semilla sexual. Para establecer monocultivos o asociados, es necesario conocer el porcentaje que permanecen vivas, y las dimensiones físicas, y su relación con sus componentes estructurales. En el laboratorio de la Estación Experimental Patacamaya, se determinaron: el tamaño, con un calibrador digital Kamasa (0-150mm/0-6), el peso de 1 000 semillas en una balanza de precisión, la estructura interna, características morfológicas con un estereoscopio y máquina fotográfica, y la viabilidad con tratamientos de tres soluciones de tetrazolio: 1, 0.5 y 0.1 %. El promedio de viabilidad de las cinco especies fue de 78.67 %, con un rango de 15 a 95 %. La viabilidad promedio de la cebadilla fue de 91.50 %, similar a 91.33 % de la cola de ratón y superiores a 84.67, 73.33 y 52.50 % de la añahuaya, layu layu y q′auchi, respectivamente. El efecto de tratamiento sobre la viabilidad e inviabilidad de las semillas en las cinco especies, fueron altamente significativas (p≤0.01). Para concentraciones de 1, 0.5 y 0.1 % de solución de tetazolio los promedios de semillas viables fueron de 84.65, 79.40 y 72.05 %, y para semillas inviables 15.95, 20.55 y 27.45 % respectivamente. Las semillas más pequeñas y livianas en relación a su peso 1.77 y 1.52 g, correspondieron a la cola de ratón y al q′auchi. Esta última especie en cobertura externa es más dura y gruesa que el layu layu y la añahuaya, las cuales tienen capas impermeables al efecto del medio ambiente, comparados con la cola de ratón y cebadilla; sin embargo, cuatro de las semillas excepto el q’auchi tuvieron altos porcentajes de viabilidad.
Rendimiento y valor nutricional de Azolla filiculoides fertilizada con estiércol de cuy en Arbieto, Cochabamba
Authors: Mancilla Castro Daniel Alejandro , Pérez Román David
Published: August 2022

El helecho Azolla filiculoides habita en lagunas del valle de Cochabamba, pero no se ha reportado su uso en el ámbito agropecuario de tal contexto; tampoco se ha mencionado el uso de estiércol de cuy (Cavia porcellus) en su cultivo, siendo necesario para evaluar su inclusión en sistemas de producción de cuyes. Por tanto, se evaluó el rendimiento y valor nutricional de Azolla fertilizada con estiércol de cuy en el municipio de Arbieto, departamento de Cochabamba utilizando tres ensayos: 1) primer ensayo (preexperimental); se sembró 4 kg de Azolla en un estanque de 4 m2 de superficie y 0.5 m de profundidad fertilizado con 2 142 g de estiércol; 2) segundo ensayo (experimental, diseño completamente aleatorizado); se compararon dos tratamientos con estiércol dosificado a razón de 857 g (T2), 571 g (T1) y un control sin estiércol (T0) en estanques de 2 m2 de superficie y 0.4 m de profundidad; y 3) tercer y último ensayo (preexperimental); se obtuvo el valor nutricional de Azolla fertilizada con 857 g de estiércol. Los resultados fueron: 1) primer ensayo; rendimiento de 87.12 g m-2 día (IC95 % 35.90–138.35) de biomasa de Azolla; 2) segundo ensayo; rendimientos obtenidos de T2=64.19 g m-2 día (IC95 % 41.21–87.17), T1=56.67 g m-2 día(IC95 % 45.10–68.24) y T0=24.98 g/m2/día (IC95 % 22.30–27.67), hallando diferencias estadísticamente significativas entre los tres grupos en comparación (P=0.0008), pero no entre los tratamientos con estiércol (T1 y T2); 3) tercer ensayo; valor nutricional en materia seca (6.64 %), proteína (21.08 %), fibra (14.31 %), carbohidratos(43.67 %), cenizas (20.03 %), grasa (1.2 %) y valor energético (18.04 kcal g-1). Estos parámetros manifiestan que puede utilizarse el estiércol de cuy como fertilizante para la producción de Azolla en el municipio de Arbieto del departamento de Cochabamba.
HAMILTONIANO EFECTIVO DE UNA RED CUADRADA DE ENLACE FUERTE Y SU RELACIÓN CON UN CIRCUITO LC DE DOS MALLAS CON CARGA DISCRETA
Authors: MAMANI CARLO EVARISTO , CALCINA NOGALES MARCELO , SANJINÉS CASTEDO DIEGO
Published: August 2022

We consider an extended tight-binding Hamiltonian function comprising nearest and next-to-nearest neighbor interactions for a charged particle hopping in a square lattice in the presence of a static arbitrary field and a rapidly oscillating uniform field with frequency ω. The application of the semiclassical method and the Kapitza’s method for time-averaging up to O(ω-2) yields an effective (time independent) Hamiltonian function with long range hopping elements that depend on the parameters of the external fields. By controlling these parameters we can engineer the interactions in such a way as to emulate a different physical system, namely, a two-mesh LC circuit with discrete charge.
Fuentes de energía, modelos de uso y su influencia en los costos de producción de papa y cebada, Pucarani
Authors: Terán Céspedes René
Published: August 2022

Los productores agrícolas, principalmente pequeños, desarrollan diferentes estrategias, las que responden a una realidad específica, a las condiciones de su medio y al acceso a recursos tecnológicos. Estos recursos se refieren a los Medios Técnicos de Labranza (MTL) o conjunto de medios mecánicos o manuales que utilizan los productores para facilitar las labores productivas. Asimismo, es importante conocer las fuentes de energía más usadas, su rendimiento y estrategias de uso; para dimensionar y planificar los procesos de mecanización agrícola sobre todo para el pequeño productor. Esta investigación analiza la combinación particular entre las fuentes de energía motriz, animal y humana, a través de la selección de diferentes MTL en los cultivos de papa y cebada en tres regiones de Pucarani. Los resultados muestran que cada zona tiene un comportamiento particular, sin embargo, el promedio muestra que la capacidad efectiva en labores de labranza primaria es baja: 4 h ha-1, aspecto que incide en los costos de operación que como promedio están en 80 Bs h-1. En el cultivo de papa se observa que requiere mayor apoyo mecánico lo que se soluciona recurriendo a la energía humana y animal, ante la ausencia de implementos que puedan ser operados por el tractor. Así también se observa la influencia de los MTL sobre los costos de producción, pues disponiendo de aperos de labranza para diferentes labores culturales es posible hacer más rentable la producción; pero el acceso de las familias a los MTL es reducido, lo que obliga a establecer estrategias familiares que, si bien dan continuidad a las actividades agrícolas, no dejan de generar dificultades económicas y de uso eficiente de la energía disponible.
The uterotonic screening of calyx extracts of Hibiscus sabdariffa on estrogenized isolated Uterus of Wister strain albino rats
Authors: Ogundeko Timothy Olugbenga  , Osagie Ize Anuoluwapo  , Bitrus James  , Okoye Nkiruka Philomena  , Ogbole Emmanuel Anebi  , Edugbe Adikpe Emmanuel  , Abobarin Olufunmilayo Ibiyemi  , Moritiwon Olusayo  , Ramyil Mamzhi Seljul Crown  , Bassi Amos Paul
Published: August 2022

The claim of the use of orally consumed concentrated Hibiscus sabdariffa calyx preparation for the purpose of abortion in view of its widely uses as a beverage in the present period of economic hardship where it is a preferred beverage due to its affordability, naturalness and for its numerous medicinal properties has posed another element of concern to the female folks. This study was aimed to screen extracts of H. sabdariffa calyx of its acclaimed uterotonic activity. Contractile responses of estrogenized isolated rat uterus using various volumes (0.1, 0.2, 0.4, 0.6, 0.8, 1.0,1.6 ml) were established with oxytocin (1x10-4 g/ml), ergometrine (1x10-4 g/ml), misoprostol (1x10-4 g/ml), Acetylcholine (1x10-3 g/ml) and five different extracts of H. sabdariffa - ethanol (2.0x10-3 g/ml), methanol (2.0x10-3 g/ml), acetone (2.0x10-3 g/ml), cold water (2.0x10-3 g/ml) and hot water (2.0x10-3 g/ml). After these, nifedipine, acetylcholine and salbutamol were used to challenge the maximal responses of the isolated uterine tissue to oxytocin, acetylcholine and the cold aqueous extract of H. sabdariffa (CWEHs). The CWEHs was equally potent at inducing contraction activity compared to the standard drugs. This study further shows reduction in the amplitude of contraction produced by CWEHs in the presence of Promethazine (1×10−6 g/ml) and Nifedipine (1×10−6 g/ml). The blockade is more pronounced in promethazine compared to Nifedipine. Aqueous extract of Hibiscus sabdariffa calyx possess uterotonic activity on estrogenized isolated rat uterine muscle with mechanism of action related to histamine receptors and contraction of the myometrial cells as the was antagonized by promethazine and Nifedipine. This could be a justification for its alarming use as an abortifacient.
Penerapan Metode Bermain Dalam Meningkatkan Minat Baca Anak TK Dharma Wanita I Jatimulyo Jenggawah Jember
Authors: Anam Nurul , Martasari Desi
Published: August 2022

ABSTRAK
Untuk  dapat mewujudkan generasi- generasi mudah yang berkualitas, tentunya tidak lepas dari kata pendidikan, lebih lagi pendidikan dari usia dini yang merupakan pondasi utama yang harus segera di bangun.  Taman kanak- kanak jalan terbaik untuk mewujudkan itu semua, taman kanak- kanak merupakan area bermain anak yang paling tepat, karna selain bermain di taman kanak- kanak  dapat  diperoleh berbagai imu pengetahuan.  Jika berbicara tentang anak- anak tidak akan asing dengan kata bermain, bermain merupakan dunia anak yang paling menjadi peran utama.  Dengan bermain anak- anak akan merasa senang, akan merasa nyaman, akan mempunyai banyak teman dan banyak pengetahuan.  
Fokus permasalahan dalam penelitian ini  adalah (1) Bagaimana Perencanaan, Pelaksanaan dan Evaluasi Metode Bermain dalam Meningkatkan minat baca anak Tk Dharma Wanita I Jatimulyo?
Metode penelitian dengan menggunakan pendekatan: Kualitatif, yang Jenis penelitiannya menggunakan Field Research, metode pengumpulan data dengan menggunakan metode observasi, wawancara serta dokumentasi, dengan analisis data menggunakan reduksi, display data, verifikasi data dan denga keabsahan data menggunakan triangulasi sumber.
Kesimpulan dari skrispsi ini adalah Penerapan metode bermain dalam meningkatkan minat baca Tk Dharma Wanita I Jatimulyo tahun 2018/2019 terdiri dari 1).  Perencanaan dalam metode bermain seperti menyiapkan media bermain, memberikan petunjuk permainan, menginformasikan tehnik permainan, memberikan contoh permainan dan menilai hasil permainan.   2) Pelaksanaan, dalam pelaksanaan terdapat beberapa kegiatan seperti kegiatan pembuka, kegiatan inti dan kegiatan penutup, dan yang ke 3) Evaluasi, evaluasi yang digunakan yaitu evaluasi formatif, evaluasi sumatif dan evaluasi diagnotstik, sehingga hasil yang di peroleh menjadi lebih maksimal dan berprestasi.
 Kata Kunci: Metode Bermain, Minat Baca.
Peran Guru Dalam Manajemen Kelas Komprehensif Di Sekolah Dasar Al-Baitul Amien 02 Full Day School Jember
Authors: Abdillah Fajar
Published: August 2022

Abstract: Students spend most of their time in the classroom. It is therefore not surprising that students feel joy and feel happy when the bell breaks ring. Not to mention the students also need time to play and time to rest his brain. The primary school of al-Baitul Amien jember is a school that implements a full day learning system. If it refers to the reason for the misfortune, depriving the physical and psychological time to play and tired is of course the number of students will decrease, because the guardians do not want their children to experience physical or psychological exhaustion. But the reality on the ground shows that this school more and more demand even now there are two school complex. The students feel enjoy it even though they spend time in class. Therefore, it would be interesting if further explore how the role of teachers in managing the class so that students still enjoy even all day at school.
 Keywords: Teacher Role, Comprehensive Classroom Management
Pembelajaran Berbasis Alam Dalam Membentuk Karakter Anak Usia Dini (Studi Analisis Di TK Jogja Green School)
Authors: Mukaromah Luluk
Published: August 2022

ABSTRAK
Penelitian ini berlandaskan pada pendidikan anak usia dini, yang merupakan masa keemasan dimana peluang potensi dan perkembangan anak secara optimal dapat dikembangkan jika difasilitasi sesuai dengan kebutuhannya. Hal ini juga untuk merealisasikan Undang-Undang  RI no 20 tahun 2003 tentang Sisdiknas pasal 1 bahwa kesiapan anak usia dini dalam memasuki pendidikan lebih lanjut perlu adanya upaya pembinaan yang ditujukan pada anak sejak lahir sampai umur 6 tahun yang dilakukan melalui pemberian rangsangan pendidikan dalam membantu perkembangan fisik dan psikis anak. Oleh karena itu, pendidikan anak usia dini dikembangkan secara kreatif melalui pengembangan kurikulum berbasis Alam yang telah dilakukan oleh Jogja Green School. Kurikulum berbasis Alam merupakan pembelajaran yang proses belajarnya lebih banyak menyatu  dengan alam.
Dalam penelitian ini penulis menggunakan metode penelitian kualitatif. Yang dalam pelaksanaannya menggunakan metode observasi dan wawancara.
Hasil penelitian dan pembahasan menunjukan adanya pembentukan karakter anak dalam masa ke masa. Dari KB hingga TK. Maka dapat disimpulkan bahwa kurikulum berbasis Alam dapat menstimuli setiap pembentukan karakter anak baik untuk yang KB hingga TK. Oleh karena itu, guru PAUD maupun praktisi PAUD hendaknya memahami kurikulum berbasis alam dan dapat menerapkannya.
Kata kunci : Pembelajaran berbasis Alam, Membentuk Karakter Anak.