bluuebunny/crossref_metadata_2025 huggingface dataset:
Interference Mitigation Strategy for D2D Communication in 5G Networks
Authors: Alotaibi Sultan
Published: August 2023

Device-to-Device (D2D) communication is one of the most promising developments in 5G networks. D2D communication can reduce communication latency and increase spectrum efficiency and system capacity. However, implementing D2D communication in reuse mode with a traditional cellular network can result in severe interference that can significantly reduce network performance, as both networks share the same resources. It is essential to mitigate interference to improve network capacity when D2D communication coexists with traditional cellular networks. An effective power control strategy can help mitigate the potential detrimental impact of interference and maximize the potential benefits of D2D communication. In this study, a dynamic transmission power control strategy was proposed for D2D transmitters to allow them to dynamically adjust transmission power, aiming to minimize interference and maximize network capacity. The distance between and the number of D2D pairs that experience interference were the primary parameters considered for the proposed strategy, while its complexity was in polynomial time. A simulation was carried out to evaluate the proposed strategy and compare it with fixed and ranged-based approaches, and the results validated its effectiveness.
HCLPars: Α New Hierarchical Clustering Log Parsing Method
Authors: Bin Lashram Arwa , Hsairi Lobna , Al Ahmadi Haneen
Published: August 2023

Event logs are essential in many software systems’ maintenance and development, as detailed runtime information is recorded in them, allowing support engineers and developers to monitor systems, understand behaviors, and identify errors. With the increasing size and complexity of modern software systems, parsing their logs by the traditional (manual) method is cumbersome and useless. For this reason, recent studies have focused on automatically parsing log files. This paper presents the Hierarchical Clustering Log Parsing method, called HCLPars, for automatically parsing log files, consisting of 3 steps: parameter removal according to acquired knowledge in order to avoid errors, grouping similar raw log messages, and getting the set of keys that make up the log. Experiments were run on 16 real system log data, and the performance of the proposed algorithm was compared with the one of other 14 algorithms. It was shown that the HCLPars outperformed the other log parsers in terms of accuracy, efficiency, and robustness.
An Innovative Metric-based Clustering Approach for Increased Scalability and Dependency Elimination in Monolithic Legacy Systems
Authors: Aljaloud Abdulaziz , Razzaq Abdul
Published: August 2023

Scalability is one of the system’s characteristics highlighted in the recent literature, and it is directly related to issues that are encountered in state-of-the-practice technology. The scalability of a system is challenging because monolithic legacy systems are hard to scale due to the high level of component dependencies. To the best of our knowledge, there is no published work available that can identify the components from a monolithic legacy system in the context of dependent and independent components and scale them accordingly. The main contribution of this paper is the proposal of a novel approach for the exclusive identification of dependent and independent monolithic legacy system components. The proposed approach also helps to remove the dependency among components of monolithic legacy systems. As a result, it establishes a precise method that identifies all the components of an application and removes the dependency among components, helping to increase the scalability of the resulting application. This approach was validated by several experiments, and the key findings were the identification of dependent and independent components, the identification of relationships among components, and the identification of the abstract level architecture of the monolithic legacy system. In future work, the proposed method will be enhanced toward the recovery of the whole system’s architecture.
Buckling Behavior of a Functionally Graded Sandwich Plate
Authors: Gupta Anil Kumar , Kumar Ajay
Published: August 2023

This research focuses on the buckling behavior of a porous Functionally Graded (FG) sandwich plate using the sinusoidal shear deformation theory and hyperbolic tangent and secant thickness stretching functions with novel displacement fields. The proposed model assumes a different thickness layer system with FGM on the top and bottom and a ceramic core. Hamilton's energy principle is applied to the FGM sandwich plates to understand their buckling behavior. The mesh convergence on Finite Element (FE) model is carried out, and the accuracy of the results is tested using the existing research. The present model results match reasonably well with the previously published literature. The impact of the transverse shear deformation, plate aspect ratio, size-to-thickness ratio, and volume fraction is investigated for different thickness layer systems.
3D Finite Element Model and Measurement Comparison for Roller Compaction Ιnduced Vibration: The Case Study of a Ring Road in Hanoi, Vietnam
Authors: Nguyen Ngoc Long , Nguyen Chau Lan , Bui Tien Thanh , Dang Lam Hong
Published: August 2023

Vietnam is currently constructing many transportation and infrastructure projects in urban areas. During the construction process of road foundations such as pile driving and vibratory compaction often causes vibrations that can affect nearby structures. Therefore, it is necessary to study the impact of vibrations induced by construction activities. A study was conducted to investigate the impact of roller compaction-induced vibration on the buildings and structures of Ring Road No.2 in Hanoi, Vietnam. The study also applied a 3D FEM method to evaluate the impact of vibration on surrounding structures. The results showed a good correlation between finite element calculations and field measurements.
Effectiveness of Crop Recommendation and Yield Prediction using Hybrid Moth Flame Optimization with Machine Learning
Authors: Gopi Subbu Raman , Karthikeyan Mani
Published: August 2023

Agriculture is the main source of income, food, employment, and livelihood for most rural people in India. Several crops can be destroyed yearly due to a lack of technical skills and changing weather patterns such as rainfall, temperature, and other atmospheric parameters that play an enormous role in determining crop yield and profit. Therefore, selecting a suitable crop to increase crop yield is an essential aspect of improving real-life farming scenarios. Anticipating crop yield is one of the major concerns in agriculture and plays a critical role in global, regional, and field decision-making. Crop yield forecasting is based on crop parameters and meteorological, atmospheric, and soil conditions. This paper introduces a crop recommendation and yield prediction system using a Hybrid Moth Flame Optimization with Machine Learning (HMFO-ML) model. The presented HMFO-ML method effectively recommends crops and forecasts crop yield accurately and promptly. The proposed model used a Probabilistic Neural Network (PNN) for crop recommendation and the Extreme Learning Machine (ELM) method for the crop yield forecasting process. The HMFO algorithm was used to improve the forecasting rate of the ELM approach. A wide-ranging simulation analysis was carried out to evaluate the HMFO-ML model, showing its advantages over other models, as it exhibited a maximum R2 score of 98.82% and an accuracy of 99.67%.
Concert Exploration of DFIG Grid-integrated MMC using Artificial Intelligence
Authors: Kuchkulla Navya , Gaddam Mallesham , V Narasimhulu
Published: August 2023

The performance of grid-connected wind turbine systems that use a Doubly Fed Induction Generator (DFIG) is explored in this work. In the suggested configuration, two conversion stages are present. In the first step, Alternating Current (AC) voltage is changed into Direct Current (DC) voltage. At this point, the conventional two-level converter is implemented. The second stage involves the conversion of DC to AC using a five-level Modular Multilevel Converter (MMC). Voltage fluctuation is observed in the DC link. It is anticipated that the Fuzzy Logic Control (FLC) approach will be able to adjust the DC link voltage at the MMC of the second stage of conversion. For the purpose of the Pulse Width Modulation (PWM) system, the current controller is accountable for regulating the current signals and the reference signals. As a result, the PI Controller (PIC) is being evaluated for use in this function. Carrier-based Phase Disposition (PD) PWM is employed for MMC switch control. The proposed controllers’ performance is validated in Matlab/Simulink.
Prediction of Solar Irradiation in Africa using Linear-Nonlinear Hybrid Models
Authors: Kassem Youssef , Camur Huseyin , Adamu Mustapha Tanimu , Chikowero Takudzwa , Apreala Terry
Published: August 2023

Solar irradiation prediction including Global Horizontal Irradiation (GHI) and Direct Normal Irradiation (DNI) is a useful technique for assessing the solar energy potential at specific locations. This study used five Artificial Neural Network (ANN) models and Multiple Linear Regression (MLR) to predict GHI and DNI in Africa. Additionally, a hybrid model combining MLR and ANNs was proposed to predict both GHI and DNI and improve the accuracy of individual ANN models. Solar radiation (GHI and DNI) and global meteorological data from 85 cities with different climatic conditions over Africa during 2001-2020 were used to train and test the models developed. The Pearson correlation coefficient was used to identify the most influential input variables to predict GHI and DNI. Two scenarios were proposed to achieve the goal, each with different input variables. The first scenario used influential input parameters, while the second incorporated geographical coordinates to assess their impact on solar radiation prediction accuracy. The results revealed that the suggested linear-nonlinear hybrid models outperformed all other models in terms of prediction accuracy. Moreover, the investigation revealed that geographical coordinates have a minimal impact on the prediction of solar radiation.
EXAMINING THE COMMITMENT OF THE MANAGERS OF SMALL AND MEDIUM-SIZED ENTERPRISES IN CHINA TOWARDS CORPORATE STRATEGIC MANAGEMENT
Authors: Chen Kaiyue  , Mohd Rahimie bin Abd Karim
Published: August 2023

In the current era, the trend of world economic integration has gradually strengthened, and international competition has become increasingly fierce. As an important factor in the development of enterprises, strategic management of enterprises is also valued and has a profound impact on the growth and development of enterprises. Therefore, it is of more important theoretical and practical significance to study the manager’s degree of emphasis on small and medium-sized enterprises to the strategic management of enterprises. Based on this, this study analyzes and explores the degree of commitment of small and medium-sized enterprises’ managers to corporate strategic management, focusing on the four influencing factors of corporate strategic management (business model, internal environment, external environment, and market competition) to conduct investigations and studies, and then analyze the manager’s degree of emphasis of small and medium-sized enterprises to the corporate strategic management. The main purpose of this study is to explore the managers’ degree of commitment toward strategic management. Through research and discussion, small and medium-sized enterprise managers will investigate and study the attitudes and behaviors of the four influencing factors of corporate strategic management to achieve the goal. This study uses quantitative research to test the hypotheses and collects data on behalf of independent variables and dependent variables through questionnaires. And this study used two commonly used software tools, SPSS and Smart PLS.
Effectiveness of church programmes in instilling morality among the youth in Presbyterian Church of East Africa, Chuka Presbytery, Kenya
Authors: Nyaga Felix Muthomi , Kagema Dickson Nkonge , Kithinji Caroline M
Published: August 2023

This study sought to assess the effectiveness of programmes initiated by PCEA to solve moral decadence among the youth. The study utilised a descriptive research design using a survey method. The study was carried out in Chuka Presbytery, located in the Eastern region in Tharaka Nithi County, comprising six parishes. A population of 3286 church members was targeted by the survey. A sample of 6 church ministers, 175 adult church members and 153 youth was obtained for the study. Data was collected using questionnaires, interviews and FGDs. With the exception of sports evangelism, mission and evangelism, all other Chuka Presbytery youth programmes for instilling morality were found to be ineffective. In order to enhance the effectiveness of church-based youth programmes, strategies such as preparation of high quality and experiential instructional content and delivering them using innovative pedagogies, establishing programmes that foster positive experiences and forging synergies with other churches in the implementation of church-based youth moral programmes were proposed. Other strategies include early moral socialisation and training, engagement of specialists in strategic communication as well as youth engagement in designing, implementing and evaluating programmes and follow-up are also vital trajectories.
Deep Direct Discriminative Decoders for High-dimensional Time-series Data Analysis
Authors: Rezaei Mohammad , Popovic Milos , Eden Uri , Lankarany Milad , Yousefi Ali
Published: August 2023

The state-space models (SSMs) are widely utilized in the

analysis of time-series data. SSMs rely on an explicit definition

of the state and observation processes. Characterizing

these processes is not always easy and becomes a

modeling challenge when the dimension of observed data

grows or the observed data distribution deviates from the

normal distribution. Here, we propose a new formulation

of SSM for high-dimensional observation processes with a

heavy-tailed distribution. We call this solution the deep direct

discriminative process (D4). The D4 brings deep neural

networks’ expressiveness and scalability to the SSM formulation

letting us build a novel solution that efficiently estimates

the underlying state processes through high-dimensional

observation signal.We demonstrate the D4 solutions in simulated

and real data such as Lorenz attractors, Langevin dynamics,

random walk dynamics, and rat hippocampus spiking

neural data and show that the D4’s performance precedes

traditional SSMs and RNNs. The D4 can be applied

to a broader class of time-series data where the connection

between high-dimensional observation and the underlying

latent process is hard to characterize.
PENGARUH PERALIHAN BAHASA KOMPUTER PADA REPLIKASI EYE TRACKING
Authors: Yosep Aditya Wicaksono  , Bagus Sudirman  , Edy Siswanto
Published: August 2023

Penggunaan beberapa bahasa pemrograman selama perangkat lunak berkembang adalah praktik umum dalam pengembangan perangkat lunak modern. Akan tetapi, penggunaan bahasa yang berbeda yang dapat memengaruhi pengembang produktifitas justru belum banyak diketahui. Studi yang disajikan dalam penelitian ini mereplikasi kontrol acak percobaan yang menyelidiki penggunaan beberapa bahasa dalam konteks pemrograman basis data tugas. Partisipan dalam penelitian ini diberi tugas pengkodean yang ditulis dalam Java dan salah satu dari tiga bahasa tertanam mirip SQL: SQL biasa dalam string, hanya metode Java, bahasa tertanam hibrid yang lebih mirip dengan Java. Selain merekam tanggapan kuesioner online dan solusi peserta terhadap tugas, gerakan mata peserta juga direkam menggunakan eye tracker. Eye Tracker sebagai metode untuk studi pengembangan perangkat lunak telah berkembang dalam beberapa tahun terakhir dan memungkinkan untuk mendapatkan informasi yang lebih mendalam tentang bagaimana pengembang menyelesaikan tugas pemrograman. Metode Eye tracking ini digunakan sebagai metode pengumpulan data dalam penlitian ini. Data pelacakan mata dikumpulkan dari 31 peserta (dari akademisi dan industri) untuk masing-masing dari enam tugas pemrograman yang berbeda. Untuk membandingkan efek variabel antar kelompok kelompok dan pengalaman profesional dan variabel tugas dalam kelompok pada variabel terikat Waktu dala peneyelesaiinya, penelitian ini menggunakan ANOVA model campuran. Hasil penelitian ini menunjukkan bahwa, efek signifikan pada produktivitas tidak ditemukan, ini berbeda dengan penlitian awal karena bahasa yang digunakan. Namun, efek yang sama ditemukan dari pengalaman peserta terhadap produktivitas pemrograman menunjukkan bahwa programmer yang lebih berpengalaman mampu menyelesaikan tugas pemrograman poliglot dengan cara yang lebih efisien. Selain itu ditemukan bahwa semua peserta melihat kode sampel dengan persentase waktu yang sama untuk tugas yang diberikan terlepas dari pengalaman atau varian bahasa yang diberikan. Perilaku navigasi tingkat atas juga sebagian besar tetap tidak berubah di seluruh pengalaman atau varian bahasa. Secara keseluruhan, dapat disimpulkan bahwa tingkat pemrograman poliglot tidak memiliki efek yang signifikan seperti tugas itu sendiri. Tingkat tinggi strategi yang digunakan peserta tampak serupa terlepas dari varian bahasa yang diberikan kepada mereka. Sebagai saran untuk penelitian dimasa depan, efek dari berbagai jenis pemrograman polyglot bahasa harus dipelajari secara mendalam untuk kesimpulan yang dicapai tetap benar di berbagai konteks pemrograman poliglot.
Serpulid-microbialitic bioconstructions from the upper Sarmatian (Middle Miocene) of the Central Paratethys Sea (NW Hungary) – witnesses of a microbial sea
Authors: Harzhauser Mathias , Mandic Oleg , Piller Werner E.
Published: August 2023

Abstract. We present so far unknown stacked bowl-shaped bioherms reaching a size of 45 cm in diameter and 40 cm in height from weakly solidified peloidal sand from the upper Sarmatian of the Paratethys Sea. The bioherms were mostly embedded in sediment and the ‘stages’ reflect a reaction on sediment accretion and sinking into the soft sediment. The bioherms are spirorbid-microclots-acicular cement boundstones with densely packed Janua tubes surrounded by microclots and acicular cement solidifying the bioherm. The surrounding sediment is a thrombolite made of peloids and polylobate particles (mesoclots) which are solidified synsedimentarily by micrite cement and dog-tooth cement in a later stage. The shape of the bioherms reflects a series of growth stages with an initial stage (‘start-up’ phase) followed by a more massive ‘keep-up stage’ which grades into a structure with a collar-like outer rim and a central protrusion and finally by a termination of growth (‘give-up stage’). The setting was a shallow subtidal environment with normal marine or hypersaline, oligotrophic conditions with an elevated alkalinity. The stacked bowl-shaped microbialites are a unique feature so far undescribed. Modern and Neogene microbialite occurrences are no direct analogues to the described structures but the marine examples, like at the Bahamas, Shark Bay and the Persian Gulf offer insight into the microbial composition and environmental parameters. The microbialites and the surrounding sediment document a predominance of microbial activity in the shallow marine environments of the Paratethys Sea during the late Middle Miocene, which was characterized by a warm, arid climate.
Potential of using CO2 observations over India in regional carbon budget estimation by improving the modelling system
Authors: Thilakan Vishnu , Pillai Dhanyalekshmi , Sukumaran Jithin , Gerbig Christoph , Hakkim Haseeb , Sinha Vinayak , Terao Yukio , Naja Manish , Deshpande Monish Vijay
Published: August 2023

Abstract. Devising effective national-level climate action plans needs a more detailed understanding of the regional distribution of sources and sinks of greenhouse gases. Due to insufficient observations and modelling capabilities, India’s current carbon source-sink estimates are uncertain. This study uses a high-resolution transport model to examine the potential of CO2 observations over India for inverse estimation of regional carbon fluxes. We make use of four different sites in India that vary in measurement technique, frequency and spatial representation. These observations exhibit substantial seasonal (7.5 to 9.2 ppm) and intra-seasonal (2 to 12 ppm) variability. Our modelling approach, a high-resolution Weather Research and Forecasting Model combined with Stochastic Time Inverted Lagrangian Transport (WRF-STILT) model, performs better in simulating seasonal (R2 = 0.50 to 0.96) and diurnal (R2 = 0.96) variability of observed CO2 than the current generation global models analysed in the study. Representation of local flux variability like biomass burning in the model needs further refinement, depending on the site location. During the agricultural season, crop biospheric uptake in the Indo-Gangetic Plain region significantly modulates the CO2 variability in the northern Indian stations. Depending on the region and time of the year, the anthropogenic and biospheric emission components contribute differently to CO2 variability. The choice of emission inventory in the modelling framework alone leads to significant biases in simulations (5 to 10 ppm), endorsing the need for accounting emission fluxes, especially for non-background sites. By implementing a high-resolution model, our results emphasise that observations from Indian sites can be useful in deducing carbon flux information at regional (Nainital) and sub-urban to urban (Mohali, Shadnagar, Nagpur) scales. On accounting for observed variability, the global carbon data assimilation system can thus benefit from the measurements from the Indian subcontinent.
A clustering approach to reduce computational expense in land surface models: a case study using JULES vn5.9
Authors: Cooper Elizabeth , Ellis Rich , Blyth Eleanor , Dadson Simon
Published: August 2023

Abstract. Land surface models such as JULES (the Joint UK Land Environment Simulator) are usually run on a regular, rectilinear grid, resulting in gridded outputs for variables such as soil moisture and water fluxes. Here we investigate a method of clustering grid cells with similar characteristics together in JULES. Clustering grid cells has the potential to reduce computational expense as well as providing an alternative to tiling approaches for capturing sub-grid heterogeneity. In this study, we cluster grid cells exclusively in the land surface part of modelling, i.e., separate from river routing. We compare gridded and clustered soil moisture outputs from JULES with measurements from the UK Centre for Ecology and Hydrology (UKCEH) COSMOS-UK network and show that the clustering approach can model soil moisture well while reducing computational expense. However, soil moisture results are dependent on the characteristics used to create the clusters. We investigate the effect of using clusters on predicted river flows, and compare routed JULES outputs with NRFA gauge data in the catchment. We show that less expensive JULES clustered outputs give similar river flow results to standard gridded outputs when routed at the grid resolution, and are able to match observed river flow better than gridded outputs when routed at higher resolution.
Simulating heat and CO2 fluxes in Beijing using SUEWS V2020b: sensitivity to vegetation phenology and maximum conductance
Authors: Zheng Yingqi , Havu Minttu , Liu Huizhi , Cheng Xueling , Wen Yifan , Lee Hei Shing , Ahongshangbam Joyson , Järvi Leena
Published: August 2023

Abstract. The Surface Urban Energy and Water Balance Scheme (SUEWS) has recently been introduced to include a bottom-up approach to modeling carbon dioxide
(CO2) emissions and uptake in urban areas. In this study, SUEWS is evaluated against the measured eddy covariance (EC) turbulent fluxes of
sensible heat (QH), latent heat (QE), and CO2 (FC) in a densely built neighborhood in Beijing. The
model sensitivity to maximum conductance (gmax) and leaf area index (LAI) is examined. Site-specific gmax is obtained from
observations over local vegetation species, and LAI parameters are extracted by optimization with remotely sensed LAI obtained from a Landsat 7 data product. For
the simulation of anthropogenic CO2 components, local traffic and population data are collected. In the model evaluation, the mismatch
between the measurement source area and simulation domain is also considered. Using the optimized gmax and LAI, the modeling of heat fluxes is noticeably improved, showing higher correlation with observations, lower
bias, and more realistic seasonal dynamics of QE and QH. The effect of the gmax adjustment is more significant
than the LAI adjustment. Compared to heat fluxes, the FC module shows lower sensitivity to the choices of gmax and LAI. This
can be explained by the low relative contribution of vegetation to the net FC in the modeled area. SUEWS successfully reproduces the
average diurnal cycle of FC and annual cumulative sums. Depending on the size of the simulation domain, the modeled annual accumulated
FC ranges from 7.4 to 8.7 kgCm-2yr-1, compared to 7.5 kgCm-2yr-1 observed by EC. Traffic is
the dominant CO2 source, contributing 59 %–70 % to the annual total CO2 emissions, followed by human metabolism
(14 %–18 %), buildings (11 %–14 %), and CO2 release by vegetation and soil respiration (6 %–10 %). Vegetation
photosynthesis offsets only 5 %–10 % of the total CO2 emissions. We highlight the importance of choosing the optimal LAI
parameters and gmax when SUEWS is used to model surface fluxes. The FC module of SUEWS is a promising tool in quantifying
urban CO2 emissions at the local scale and therefore assisting in mitigating urban CO2 emissions.
Estimation of emergency costs for earthquakes and floods in Central Asia based on modelled losses
Authors: Berny Emilio , Avelar Carlos , Salgado-Gálvez Mario A. , Ordaz Mario
Published: August 2023

Abstract. Estimating the emergency costs for disasters is of high relevance in the design of any comprehensive disaster risk management strategy. These costs usually include the ones associated to the immediate response aimed to provide the required safety and emergency attention, and those of debris removal. Over the time, and in different regions of the world, several research efforts have been carried out for the quantification of the emergency costs and have been usually associated with those of the direct losses. Also, the previous studies have been typically carried out in the aftermath of large disasters, and to the best of our knowledge, no specific quantification of the emergency costs have been carried out in Central Asia. This paper presents a methodology, which has been applied in five countries in Central Asia using historical and synthetic events, to estimate the emergency costs as a function of modelled direct losses for earthquakes and floods, taking into account the demographic and building characteristics. The methodology allows the prospective estimation of the total emergency costs, so that they can be considered in the planning and budgeting of the emergency and recovery phases, as well as in disaster risk financing initiatives. It was found that the average emergency response costs for earthquakes and floods in Central Asia show good agreement with those previously estimated at other locations as a function of the direct losses; however, this methodology allows differentiating between different types of events allowing a better description and understanding of these needs.
Assessment of Indonesian Throughflow transports from ocean reanalyses with mooring-based observations
Authors: Fritz Magdalena , Mayer Michael , Haimberger Leopold , Winkelbauer Susanna
Published: August 2023

Abstract. The transport of heat and freshwater from the Pacific Ocean to the Indian Ocean via the Indonesian seas is commonly referred to as the Indonesian Throughflow (ITF). The interaction between the ITF and large-scale phenomena occurring from intraseasonal to decadal timescales reflects its connection to the global ocean and the climate system, indicating the need for monitoring the ITF region. In situ observations in this region are highly valuable, but they are temporally and spatially insufficient for near-real-time monitoring. Ocean reanalyses have the potential to serve as near-real-time monitoring tools and to extend time series backward in time, yet a comprehensive quality assessment of their realism in this region with challenging bathymetry has been lacking so far. We focus on oceanic transports diagnosed from the Copernicus Marine Service (CMEMS) Global Reanalysis Ensemble Product (GREP) and the higher-resolution product GLORYS12V1, totaling six reanalysis products. They are validated against in situ observations taken from two different monitoring programs, namely International Nusantara Stratification and Transport (INSTANT 2004–2006) and Monitoring the Indonesian Throughflow (MITF 2006–2011 and 2013–2017), resulting in a total time series of about 11.5 years in the major inflow passage of the Makassar Strait and shorter sampled time series in the Lombok Strait, the Ombai Strait, and the Timor Passage. Results show that there is reasonable agreement between reanalysis-based transports and observations in terms of means, seasonal cycles, and variability, although some shortcomings stand out. The lower-resolution products do not represent the spatial structure of the flow accurately. They also tend to underestimate the integrated net flow in the narrower straits of Lombok and Ombai, an aspect that is improved in GLORYS12V1. Reanalyses tend to underestimate the effect of seasonal Kelvin waves on the transports, which leads to errors in the mean seasonal cycle. Interannual variations of reanalyzed transports agree well with observations, but uncertainties are much larger on sub-annual variability. Finally, as an application of physically consistent and observationally constrained fields provided by ocean reanalyses, we study the impact of the vertically varying pressure gradient on the vertical structure of the ITF to better understand an apparent two-layer regime of the flow.
Nonlinear Vibration Characteristics of Wind Turbine Blades Based on Virtual Mass Match
Authors: Zhou Aiguo , Shi Jinlei , Dong Tao , Ma Yi , Weng Zhenhui
Published: August 2023

Abstract. To analyze the nonlinear effects of the virtual masses used for load decoupling on the vibration characteristics in the biaxial fatigue test of wind turbine blades, the equivalent dynamic model of the blade-virtual masses test system is established using the Lagrange method firstly. Then, the nonlinear effects of blade amplitude and installation parameters of virtual masses on the test system are obtained by numerical methods. Moreover, the nonlinear amplitude- frequency characteristics of the test system is analyzed theoretically based on the nonlinear vibration theory. Finally, two blades over 80 m are analyzed under the dynamic simulation environment. The results indicate that the resonance frequency of the test system decreases with the increase of the amplitude of the blade, presenting the nonlinear amplitude-frequency characteristics. In the case of 80 m blade, the resonance frequency of the test system decreases by approximately 2 %. There is also a nonlinear relation between the length of the seesaw used to install the virtual masses and the resonance frequency. The decrease of resonance frequency of the test system is more obvious with shorter seesaw, the resonance frequency decreases by up to 1.8 % under certain conditions. The decrease of the resonance frequency will also reduce the area of interest for blade load verification, the blade load distribution decreases by nearly 3 % in the flap-wise direction under the given operating conditions. In addition, the virtual masses will also affect the resonance characteristics and the spatial trajectory of the blade during the biaxial test.
أثر استراتيجية PECS في تحصيل طلاب الصف الخامس الادبي في ماده الـجغرافية
Authors: عبد محمد طارش
Published: August 2023

هدف البحث الحالي إلى التعرّف على اثر استراتيجية PECS في التحصيل لدى طلاب الصف الخامس الادبي في مادة الجغرافية وتحقيقاً لهدف البحث وضع الباحث فرضـية صـفرية، وتحدد البحث بطلاب الصف الخامس الادبي في المدارس الإعدادية والثانوية النهارية الحكومية التابعة لمديرية تربية صلاح الدين – قسم تربية تكريت، ومادة الكورس الاول المقرر تدريسها من قبل وزارة التربية والمتمثلة بالفصول الثلاثة الاولى من كتاب الجغرافية للعام الدراسي (2021-2022)، واختار الباحث بشكل قصدي ثانوية التراث العربي للبنين لتمثل مكاناً لإجراء تجربته، تم اعتماد المنهج التجريبي واستخدم التصميم التجريبي ذي المجموعتين (مجموعة تجريبية ومجموعة ضابطة) من ذوات الاختبار البعدي للتحصيل، تكونت عينة البحث من (62) طالباً بواقع (30) طالباً للمجموعة التجريبية الأولى التي دُرست وفق استراتيجية BECS، و(32) طالباً للمجموعة الضابطة التي دُرست وفق الطريقة الاعتيادية، كافأ الباحث مجموعتي البحث إحصائياً في بعض المتغيرات وأعدَّ الباحث أداة هي (اختبار التحصيل)، الذي تكون من (50) فقرة منها (39) فقرة موضوعية من نوع اختيار من متعدد ذي البدائل الأربعة، و(11) فقرات مقالية، وقد تم التحقق من الصدق الظاهري وصدق المحتوى، واستخراج معامل الصعوبة ومعامل التمييز وفعالية البدائل الخاصة للفقرات الموضوعية، وتم إيجاد ثبات فقرات الاختبار بطريقة معادلة (كيودر - ريتشاردسون 20) للثبات وكذلك تم إيجاد ثبات معامل التصحيح للفقرات المقالية، طبقت التجربة في الفصل الدراسي الأول من العام الدراسي (2021–2022) بواقع حصتين اسبوعياً لكل مجموعة وبعد انتهاء التجربة تم تطبيق أداة البحث على مجموعتي البحث، وتمت معالجة البيانات إحصائيا باستخدام برنامج الحقيبة الإحصائية للعلوم الاجتماعية SPSS، وقد أظهرت نتائج البحث: تفوق المجموعة التجريبية التي درست وفق استراتيجية PECS على المجموعة الضابطة التي درست بالطريقة الاعتيادية في تحصيل مادة الجغرافية. وفي ضوء نتائج البحث، تم التوصل إلى مجموعة من الاستنتاجات، وقدم مجموعة من التوصيات والمقترحات.
الأنا الشاعرةُ في شعر العَرْجِي
Authors: عبد محمود عبد بشر
Published: August 2023

تناولت هذه الدراسة شاعراً من شعراء العصر الإسلامي الثاني ألا وهو العرجي، وقد استهدفت الدراسة موضوع (الانا الشاعرة) إذ وجدت في ديوانه حافزا لإبراز قيمته الفنية والادبية، فهو شاعر مطبوع، حسن الديباجة، يصدر شعره عن نزعة الانا الشاعرة. فضلا عن ذلك، فإن هذه الظاهرة تستحق الدراسة والاهتمام لحضورها البارز في جُلِّ قصائده التي جاءت على شكل أشبه بالاعترافات الشخصية العاكسة لحياته، بما فيها من لحظات جميلة (عاشقة) أو مفتخرة أو حزينة، أو بصيغة أخرى حين كان ينعم بالحياة ويرفل بنعيمها، أو من تجارب مريرة اكتوى بنيرانها. ولا شك أن الوقوف على شعر العرجي يظهر لنا ما فيه من طاقات ابداعية لعناصره الشعرية وعرضها عرضاً جمالياً ومؤثراً بأسلوب مثير وجاذب للمتلقي.
ملامح من الفكر النحوي عند أبي حيّان الأندلسي: في هدي ثنائيّة الشكل والوظيفة
Authors: جاسم محمد سلمان
Published: August 2023

حرص البحثُ على قراءة مختارة في مصنّفات أبي حيّان الأندلسي؛ وذلك بعد أنْ وجدناه يُعنى بتحليل المسائل المتنوّعة باستكمال النظر في ثنائيّة الشكل والوظيفة؛ وصولًا لتثبيت الآراء وترجيح المختلف فيها، بيد أنّ هذا السبيل ليس بظاهر لكل من يقرأ، فبه حاجة إلى استقراء لمواضع من ذلك، وتحديد المسائل النحويّة والموضوعات التي تفتح آفاقًا في البحث عن مفاهيم تكشف الفكر النحوي للعلماء، ثم تحقيق مقاربة مع الأنظار المعاصرة لقراءة التراث النحوي.وتبين أنّ أهمَّ المسائل التي انتظمت في هدي ثنائيّة الشكل والوظيفة مما اتصل بصنيع أبي حيّان تمثّل في أربعة مباحثَ كان أوّلها: تغاير الأشكال وتباين الوظائف، واتسقت مع تعاور في قضيّة الإخبار بالظرف، والوقوف على شكل التركيب لـ (لا) النافيّة للجنس ووظيفتهَ، والاحتكام إلى قصدية الاستثناء، وثانيها: اتحاد الشكل واتساع تحديد الوظيفة، واستظهرنا فيه اتساق الشكل الإسنادي، وتعدد الوظيفة المرفوع بعد لولا، وأما المبحث الثالث: فاتصل بقيود الرتبة شكلاً ووظيفة، وتضمّنَ بالتقديم على الفعل بين الإخبار والفاعلية، ورصد تحول رتبة التمييز وما ينتج الفاعليّة والمفعوليّة، وتتبع الأفعال الجامدة مع معمولاتها، وانتهينا في المبحث الرابع إلى نسق الاتباع والمخالفة، فكشفنا الاتباع في ما يخبر عنه، والاتباع في شطر من باب التوابع.
Kuram Odaklı Analizlerde Soru Listesi Geliştirme: Dört Çerçeve Modeli ve İlişkili Kuramlar
Authors: Tonbul Yılmaz
Published: August 2023

The aim of this research is to develop a checklist of questions that can be used in the analysis of institutional functioning or problems by relating each framework in the four-framework model developed by Bolman and Deal with different theories. Graduate education institutions were selected as the unit of analysis and the questions were developed taking into account the functioning and problems in the institutions. The method of document analysis was used in the research based on qualitative research. Graduate theses in Google Scholar and YÖK thesis database, articles, papers and books published in refereed journals and indexed in international and national indexes were used as data sources. In selecting the theories, the overlap between the content of the Four Frame Model and the assumptions of the theories was taken into account. The selected theories are limited to the accessed theories and the consensus among the researchers regarding the content of the Four Fram Model and the overlap of the assumptions of these theories. In the process of data collection and analysis, an algorithm was created by the researchers and description, sampling and association were used in the analysis. According to the results of the research, a checklist of questions was developed, taking into account that the structural frame dimension of the model can be used with Bureaucracy Theory and Organisational Ecology Theory; the human resource frame dimension with Motivation Theory and Mental Models Theory; the political framework with Organisational Cohesion Theory and Actor Network Theory; and the symbolic frame with Symbolic Interaction Theory. In a further study, the checklist can be extended with different theories, the functionality of the question checklist can be tested with experimental studies, and software for theory-oriented decision support systems can be developed. Keywords: Four-Frame Model Theory based analysis, postgraduate education,
Uma cartografia das Comissões de Ética do Ensino Superior Politécnico em Portugal (2023)
Authors: Nunes Lucília
Published: August 2023

Trata-se de um estudo descritivo, de metodologia qualitativa, realizado em 2023, tendo como objetivo geral caraterizar as Comissões de Ética do Ensino Superior Politécnico em Portugal, assim como identificar os fatores dificultadores e facilitadores da ação das Comissões. Procede-se a uma contextualização através de revisão da literatura e descrição do enquadramento legislativo. Realizou-se análise documental e colheram-se dados em entrevista aos presidentes das Comissões (total de 16). Constatou-se que as Comissões de Ética começaram a ser criadas a partir de 2009 e que elas existem, atualmente, em 75% das instituições. Apresentam-se e discutem-se os achados de caraterização (número de membros, membros externos, sexo, idade, habilitações, formação em ética/bioética e experiência em comissão). As dificuldades e os fatores facilitadores foram organizados em grupos temáticos, cuja síntese é apresentada. Equaciona-se que este é um percurso de desenvolvimento necessário a nível global, nas Instituições de Ensino Superior.
Extensão universitária
Authors: Alves Maria Alda de Souza , De Andrade Michely Peres , Oliveira Anderson Souza , Melo Lilian Maria da Silva , Lopes Ana Clara de Castro
Published: August 2023

Sistematiza atividades realizadas pelo Grupo de Pesquisa e Extensão sobre Relações Étnico-Raciais, Gênero e Educação Inclusiva (GERE/UECE/UNILAB), com o intento de destacar ações extensionistas, mostrando suas influências em públicos como crianças de comunidades periféricas, jovens de escolas públicas, professores em formação inicial e continuada. Alguns aportes teóricos aos quais se recorreu são da autoria de Collins (2021), Dayrell (2001, 2003), Freire (2011), hooks (2013).  Reportou-se a metodologias ativas, como  protagonismo juvenil, rodas de conversa e oficinas. Como resultados, percebeu-se o quanto ainda é fragilizada a discussão étnico-racial e de gênero, bem como a de  inclusão no espaço escolar. Evidenciou-se, também, o potencial da extensão universitária por via de meios didáticos, como a internet, experimentados desde o período da pandemia de covid-19. 
Palavras-Chave: Extensão. GERE. Relações Étnico-Raciais. Gênero. Inclusão.
Produção de conhecimento sobre o analfabetismo funcional e as desigualdades sociais no Brasil
Authors: Souza Rakel Brandão de , Fonseca Maria Aparecida Rodrigues da , Oliveira Fabiane Lopes de , Lima Daniela da Costa Britto Pereira
Published: August 2023

Este artigo apresenta parte dos resultados do Trabalho de Conclusão do Curso (TCC), de Pedagogia, da Faculdade de Educação da Universidade Federal de Goiás, que teve por título, “O analfabetismo funcional e as desigualdades sociais no Brasil”. A pesquisa objetivou identificar as implicações entre o analfabetismo funcional e as desigualdades sociais no Brasil, adotando como metodologia a abordagem qualitativa do tipo exploratória e de estudo bibliográfico. Os estudos mapeados e analisados propiciaram refletir as repercussões do analfabetismo funcional e sua relação com as desigualdades sociais no país.
Palavras-chave: Educação. Analfabetismo. Desigualdades.
Malnutrition and inflammation status in nonobese patients with inflammatory bowel disease are associated with nonalcoholic fatty liver disease: a retrospective study
Authors: Nagata Takahiro , Funakoshi Sadahiro , Morihara Daisuke , Shakado Satoshi , Yokoyama Keiji , Takata Kazuhide , Tanaka Takashi , Fukunaga Atsushi , Yamauchi Ryo , Fukuda Hiromi , Matsuoka Hiroki , Imakiire So , Sakisaka Hideto , Matsuoka Satoshi , Kuno Nobuaki , Abe Koichi , Ishibashi Hideki , Ashizuka Shinya , Hirai Fumihito
Published: August 2023

Background/Aims: The frequency and details of nonalcoholic fatty liver disease (NAFLD) complications in patients with inflammatory bowel disease (IBD) remain unclear. This study aimed to clarify characteristics of NAFLD in patients with IBD.Methods: We retrospectively identified and enrolled patients with IBD diagnosed with or without NAFLD by undergoing abdominal computed tomography (CT) at our institution between 2005 and 2020. The primary endpoint was the complication rate of NAFLD in patients with IBD. Secondary endpoints were the clinical characteristics of nonobese patients with IBD and comorbid NAFLD and their association with nutritional and inflammatory parameters.Results: Twenty-one (21.9%) of 96 eligible patients with IBD also had NAFLD. In nonobese patients (defined as patients with a body mass index <25 kg/m2), C-reactive protein (CRP; P<0.001) and alanine aminotransferase (P=0.018) levels were higher and the albumin level (P=0.005) and prognostic nutritional index (PNI; P=0.002) values were lower in patients with NAFLD than in those without NAFLD. The PNI value was positively correlated (P<0.001) and the CRP level was negatively correlated (P=0.001) with the hepatosplenic ratio. However, in the NAFLD combined group, PNI (P<0.05) and CRP values (P<0.001) were improved over time after CT imaging by continuing IBD treatment.Conclusions: Worsening nutritional and inflammatory status in IBD patients is associated with complications of NAFLD. Diagnosis of NAFLD in IBD patients using CT imaging might be useful not only for early detection of NAFLD but also in assessing the need for therapeutic intervention for IBD.
PELESAPAN DAN PERUBAHAN FONEM PADA BAHASA ANAK USIA BALITA DI KECAMATAN BONTOMANAI GOWA
Authors: Lutfin Nursamsilis
Published: August 2023

Penelitian ini bertujuan untuk pelesapan dan perubahan fonem pada Bahasa anak usia balita di kecamatan bontomanai Kabupaten Gowa. Peneliti menggunakan rancangan penelitian deskriptif kualitatif. Dalam penelitian ini peneliti menggunakan metode observasi Observasi atau pengamatan langsung atas obyek penelitian dimaksudkan untuk mendapatkan gambaran yang jelas tentang keberadaan obyek penelitian dan kegiatan yang dilakukan. Melalui metode ini, peneliti dapat melihat secara langsung kegiatan yang dilakukan anak dalam berkomunikasi dengan orang-orang yang berada di sekitarnya. Data dalam penelitian ini dikumpulkan dengan metode observasi dengan teknik rekam dan catat. Kegiatan analisis data dalam penelitian ini meliputi identifikasi data, penyajian data dan penarikan simpulan. Pada identifikasi data peneliti memberikan kode pada data yang sesuai. Tahap berikutnya penyajian data. Data yang disajikan dalam bentuk fonetis, morfem, dan kalimat selanjutnya akan dianalisis setelahnya dilakukan penarikan simpulan. Berdasarkan hasil pembahasan yang telah diuraikan pada bab IV maka dapat ditarik kesimpulan bahwa 1) Kegiatan penelitian pada bahasa anak-anak usia 2-5 tahun Kecamatan Bontomanai mengalami pelesapan pada hampir semua fonem baik vokal maupun konsonan. Pelesapan fonem /l/, Pelesapan diawal fonem /a/ dan diakhir kata fonem /k/Pelesapan fonem /b/ di awal kata, Pelesapan fonem /j/ di awal kata, fonem /l/ di tengah kata,  terjadi pelesapan beberapa fonem sekaligus yaitu /m/, /e/ dan /b/, penghilangan fonem /j/,  Pelesapan fonem /s/,  Pelesapan fonem /r/,  Pelesapan fonem /k/,  Pelesapan fonem /d/,  dan Pelesapan fonem /f/. 2) Kegiatan penelitian pada bahasa anak-anak usia 2-5 tahun Kecamatan Bontomanai mengalami perubahan fonem. perubahan dari fonem /r/ menjadi /y/,  perubahan fonem dari /g/ menjadi /n/,  perubahan fonem dari /r/ menjadi /y/, perubahan  fonem /r/ berubah menjadi /l/,  perubahan terjadi pada fonem /s/ menjadi /c/,  Perubahan fonem /r/ menjadi fonem /l/,  Perubahan fonem /r/ menjadi fonem /b/,  Perubahan fonem /f/ menjadi fonem /p/,  perubahan fonem /r/ menjadi /l/,  perubahan fonem /f/ menjadi /p/. 3) Dampak pelesapan dan perubahan fonem yang terjadi pada anak-anak di Kecamatan Bontomanai Gowa. Kata ambil menjadi ambi, kata fajar menjadi ajar, dan kata efek menjadi epek
HUBUNGAN ANTARA KECERDASAN EMOSIONAL DENGAN HASIL BELAJAR SISWA DALAM MATA PELAJARAN KIMIA KELAS XI IPA SMA NEGERI DI KOTA MAKASSAR
Authors: Arwien Rizki Trisnawaty
Published: August 2023

Penelitian ini dilakukan dengan tujuan untuk mengetahui hubungan kecerdasan emosional dengan hasil belajar siswa dalam mata pelajaran kimia kelas IX SMA Negeri di Kota Makassar. Jenis penelitian ini adalah penelitian expost-facto yang bersifat korelasional. Populasi dalam penelitian ini adalah seluruh siswa kelas XI IPA SMA di Kota Makassar. Pengambilan sampel dalam penelitian ini dilakukan dengan teknik stratified random sampling dan sekolah yang terpilih adalah SMAN 2, SMAN 3, SMAN 5, SMAN 8, SMAN 11, SMAN 14. Teknik pengumpulan data yang digunakan dalam penelitian ini yaitu berupa tes yaitu angket kecerdasan emosional dan tes materi asam basa. Teknik analisis data yang digunakan yaitu teknik analisis deskriptif dan analisis inferensial. Pengujian hipotesis dilakukan dengan program SPSS for windows versi 20.0 dengan menggunakan analisis korelasi. Nilai signifikansi pada variabel antara kecerdasan emosional dengan hasil belajar siswa adalah 0,016 < 0.05 maka dari itu H1 diterima dan Ho ditolak. Hasil penelitian ini menunjukkan bahwa terdapat hubungan kecerdasan emosional dengan hasil belajar siswa.