bluuebunny/crossref_metadata_2025 huggingface dataset:
The Development Method of Making Decision in Choosing Academic Informartion System on the Merger University (Case Study: Telkom University)
Authors: Rima Aditya Bayu , Handoko Wijoyo Mary
Published: July 2024

University merger could be defined as the combination between two or more than two Universities that gathered into one. One step conducted during merger was choosing the decision to choose one of many information system alternatives which was originated from the Merger University. Incorrect decision could have disturbance effect on that academic activities of merger Universities. It was because the initial purpose of using the academic information itself was to add the benefit for academic process. The purpose of this research was to develop a method of making decision in choosing academic information system on the Merger University. The development of method was conducted by adapting the characteristics and problems in the merger Universities with the decision making theories. The result of this research were (1) There were two criteria in the decision choosing of academic information system on the merger Universities which were functionality needs and user acceptance, (2) Process of rank giving or priority conducted by using Analytical Hierarchy Process (AHP) method.(3) The result of method development has been tested and implemented on the research object.Â
Augmented Reality and Virtual Battle System for Trading Card Game
Authors: Akbar Rahmanda Fachri , Harditya Wienardi S M. , Reinaldo Ferdie , Lina Prasetio Yen , Wongso Rini , . Santy
Published: July 2024

In this research, we discuss the fairness in gameplay and technology enhancement for playing trading card game. This research mainly focused in applying augmented reality and virtual battle system while developing a new trading card game. Unity is used for developing the game that is based on extreme programming methodology, and the requirements are gathered by interviews, surveys, and research that have been conducted. By applying the augmented reality and virtual battle system, the game will be more interesting and fairer to be played.Â
Parameter Estimate for Spatial Lag Regression Model with Outlier
Authors: Harini Sri , Sheppy Siscaviyana , Siti Nurmala Sari Marita , . Purhadi
Published: July 2024

Spatial lag regression is the result of linear regression model development that considers the effect of spatial data to the dependent variable, the Spatial Autoregressive Model. In the model of spatial lag regression model, it is often found there is an outlier that affects the created model. One of the methods to detect the outlier from the spatial regression model is by using the S estimator model. The S estimator method is a method that is used to determine the outlier by minimizing the objective function and the function of the number of error square. The result of the study shows the interpreting parameterÂ  14Ø®Â²m+1=XTØ¯â€°imX-1XTØ¯â€°imI-Ø¯Ù¾W1y"> Â Â that bears biased characteristic.Â Â
Characterization of active compounds from Jatropha gossypifolia L. based on HPTLC
Authors: Rofida Siti , Nailis Nailis , . Nurkhasanah , Hayu Nurani Laela
Published: July 2024

Jatropha gossypifolia L. is one of plants that come from Euphorbiaceae family.That is used to be a medicine, particularly as an anticancer. The previous research has reported that the root extract of J.gossypifolia L. (EEAJG) has an ability to kill the cervix cancer cells and breast cancer cells. The cytotoxicity of EEAJG on breast cancer cell lines (T47D) and cervix cancer cell lines (Hella) respectively contained by 43.57 mg/mL and 4.32 mg/mL. The consistency of active compouds on traditional medicine can assurance the biological activity of medicinal plants. Fingerprint profiles of active compouds is either one that can be used to indicate the composition of secondary metabolites in medicinal plants. In this study aims to obtain a fingerprint profiles of active compouds in EEAJG to ensure biological activity as an anticancer based on HPTLC.The root extract of J.gossypifolia L. obtained from extraction by maceration with ethanol. Fingerprint profiles of active compouds can be identified by using High Performance Thin Layer Chromatography (HPLC). Secondary metabolites of EEAJG separated by TLC techniques and scaned wavelength of 254 nm and 366 nm with CAMAG TLC scanner 3. The chromatogram were recorded. The results showed that the chemical compounds were detected at 254 nm produced ten peaks with maximum absorbance at 250-350 nm region. The chemical compounds that were detected at 366 nm produced six peaks with absorbance maximum at 200-350 nm region.Â Â
Qur'an Basic Game for Fun Learning Using Dynamic Weighting A Star
Authors: Faisal Muhammad , Zakifardan Ibnu , Eko W. R. Nonok
Published: July 2024

The phenomenon of people who cannot read the Qur'an in Indonesia is quite significant. There are approximately 65 percent of Indonesian Muslims cannot read the Qur'anÂ  andÂ  35 percent could read the Qur'an there are 21 percent who do not want to read the Quran (http://bimasislam.kemenag.go.id, 2015). Needed some strategies in learning to read the Qur'an. Along with technological developments in the media, then the media should be utilized as much as possible to support the learning of the Qur'an for Muslims in Indonesia. The combination of learning in synergy between classical learning method with learning methods based on Information Technology (IT) is expected to produce a model of learning to read the Qur'an so fun and not boring. In this study discusses the making of instructional media-based desktop and or android by combining computer technology with implementing Dynamic Weighting A Star Method on Non Player Character (NPC) so that its movement is better for NPC moves towards the target in accordance with the route that is generated by the algorithms.Â
Implementation of Maximally Stable Extremal Region for Text Segmentation on Food Package
Authors: Ike Sari Marlindia , Handayani Rini , Maulana Sidiq
Published: July 2024

Many technologies help people with vision disabilities. It helps these people to walk, read, and other activities. However, when these people have to shop and there is no one to help, they canâ€™t determine what product in their hand is. In this research, we applied image processing to recognize the name of the product based on text in the food package. We applied Maximally Stable Extremal Region (MSER) for text segmentation in the food package. The model is applied to predict the result of implementation MSER for text segmentation in the food package. We implement MSER with input from camera board in Raspberry Pi. Light intensity and type of food package give a different result. The result of this research has average 85%. It shows that MSER works for text segmentation in the food package.Â
Location Weight of GSTAR Model for High Variability of Rainfall Data
Authors: Dwi Sulistyono Agus , Hadi Nugroho Waego , Iriany Hadi Nugroho
Published: July 2024

The use of location weights in the spatio temporal models took part in the accuracy of the model. The weights that often used are uniform weight, inverse distance weight, and normalized cross-correlation weight. These location weights consider the closeness between locations. For data that have high degree of variability, the use of these location weights becomes less relevant. Therefore, it is necessary to consider variability aspects of observational data as the location weights, that is the normalize ratio variance weight. The study was conducted to develop GSTAR-SUR model with normalize ratio variance weight and its application on rainfall data. The data used is ten daily rainfall data in the region Blimbing, Singosari, Karangploso, Dau, and Wagir. Based on the results of the study, indicated that the GSTAR-SUR ((1) (1,2,3,12,36) model that used ratio variance as location weight are more accurately to forecast the rainfall data that has high variability and extreme point.Â Â
Prototype of We Share Blood an App for Searching Blood Donation based on Android Platform
Authors: . Suryatiningsih , Siradj Yahdi , Hakim Cahyono Rul
Published: July 2024

The gap between the availability of blood stock in the blood bank and the need for blood in Indonesia is more than 50%. In the process, the patients who did not receive blood donor from the blood bank, to find the potential blood donors the patient usually sends a broadcast message which is this way is out of focus. Related to this, we proposed an alternative way to look for potential blood donors which geographically located around the patient by adopting Location Based Services (LBS).The methodology used in this research is the prototype method because this research focuses on the fast interaction between the user and the prototype application. This paper presents a design of a mobile app prototype for finding potential blood donors with match blood type information combined with its geographic location using LBS technology based on Android platform.Â
Fibonacci Sequence â€“ based FFT and DCT Performance Comparison in Audio Watermarking
Authors: Budiman Donny , B. Suksmono Andriyan , Danudirdjo Donny
Published: July 2024

Audio watermarking is a manner to hide watermark into the audio for copyright protection. Recently, there are many techniques based on audio watermarking. Frequency domain based audio watermarking is one of audio watermarking technique that has good watermark robustness against many attacks, good watermarked audio quality, and also high watermark payload. In this paper, FFT and DCT performance will be compared as transform technique for data hiding in audio. Host audio is first transformed into frequency domain in frame-based by FFT or DCT, then watermark is embedded into the frequency domain signal by Fibonacci sequence rule. Different than DCT which can embed watermark on full frame, in FFT, only a half of frame that can be embedded by watermark due to FFT properties. After embedding, the frequency domain signal is transformed to time domain by IFFT or IDCT to get watermarked audio. The simulation result of frequency based audio watermarking comparing FFT and DCT transform method shows that watermark payload for perfect robustness at no attack condition could reach up to 70 bps for FFT and 500 bps for DCT. With good watermarked audio quality due to ODG > -1 and SNR > 30 dB. Due to this performance, DCT is a recommended transform method for audio watermarking technique to obtain high imperceptibility, strong robustness and high capacity than FFT.Â Â
Implementation of Digital Image Processing for Rice Field Harvest Time and Area Size Estimation using Images Taken from Autonomous Aerial Harvest Surveillance
Authors: Wijayanto Inung , Nurjannah Wijayanto , Fathurrohim Nur Nurjannah
Published: July 2024

Problem faced by Indonesian farmers is the low price of the unhulled rice which happened when several region has the same harvest time. Indonesian Ministry of Agriculture encourage the farmers to do crop diversification to keep the crop price high. In order to support this policy, we provide estimation data so that local departement under the Ministry of Agriculture can give advice to farmers in their area to choose the right crops to plant. By using an Autonomous Aerial Harvest Surveillance (AAHS), we take images of rice fields to estimate the harvest time. The AAHS also provide global positioning system data while flying through its waypoint mission. These data are sent directly to the ground station (GS). By analyzing the RGB color space, and classification using backpropagation neural network, we have the average accuracy for harvest time estimation on real time flight testing is 82,73%, while the average accuracy for area size estimation is 73,92 %. Based on the feedback we received from local agriculture department, the accuration result is enough to help them forecasting the harvest result in their area.Â
Solving University Course Timetabling Problem (UCTP) Using Depth First Search (DFS) Algorithm and Rule Base Systems
Authors: . Fatchurrochman , Abidin Zainal
Published: July 2024

University course timetabling are administrative activities undertaken by the universities to manage their resources for education process. The resources are classrooms and lecturers. In this research, the university course timetabling or course scheduling is seen as the search process. Searches conducted on unused slots to be filled with lectures classroom. slot is a term used to denote an entity that can be filled with classroom lectures. Lectures classroom are objects to be scheduled. DFS is used to prepare candidates for the class schedule of a lecture classroom. Subsequently checked whether the candidate's course schedule does not violate the lecturers constraint, classroom constraints, dhuhur prayer time constraint, Friday prayer time constraint, and in accordance with the preferences day of lecturer. If the candidate does not violate all constraint it will be stored as class schedules and if violated the constraint it will look for another schedules candidate. The system testing showed that of the 131 lectures classroom can all be scheduled at 6 classroom without breaking the constraints that have been set. There are 20 lectures classroom that are not scheduled when only 5 classroom used, this indicates that the DFS is not complete and is not optimal, this algorithm requires sufficient classrooms in order to work properly. In terms of computing time, this study provides the big picture of time required to complete the preparation of lecture schedules using DFS.Â Â
Building MPLS Network Simulation Using GNS3 at PT. Telkom
Authors: Apsari Ratih , Rosmiati Mia , Zani Tafta
Published: July 2024

The Backbone Network of PT Telkom Indonesia ( PT.Telkom) has architecture from core layer to access layer. In the core layer network PT Telkom has two stage, there are Main pop and Primary pop. This paper proposed MPLS ( Multiprotocol Label Switching) for core layer to optimize the network. The principle of MPLS ( Multiprotocol Label Switching ) NetworkÂ  is labelling MPLS to 2nd header layer and 3rd layer for easier checking the network. By using Graphical Network Simulator (GNS3), PT Telkom can simulate its Network using MPLS and calculate the Quality of Service (QoS). From Wiresharkâ€™sÂ  summary, the parameter ofÂ  QoS when uploading and downloading data process can be captured. In this research, the packet loss has 0% and if it compared with ITU-T category for packet loss, the proposed network achieved good category.Â  Therefore the proposed method can be be used as an alternative for Telkomâ€™s backbone network in the future.Â
The Expression of Drought Resistance GmDREB-1 Gene on Soybean (Glycine max L. Merr) as Result of EMS Mutation Induction (Etyl Methane Sulfonate)
Authors: Sandi Savitri Evika , Siti Resmisari Ruri
Published: July 2024

Abiotic stresses, particularly drought, are harmful for the plant productivity. Mutagenesis is widely used as method that is potential to increase the variability of crop development. Mutagenic using EMS (Ethyl Methane Sulfonate) shows more effective results than using other mutagens. DREB1 gene is a subclass of DREB gene which is a transcription factor and it also serves as a key regulatory response of plants to drought stress. Mutation induction combines concentration treatment and immersion time in EMS.Â  RNA isolation employs RNeasy Plant Mini Kit (Qiagen). GmDREB-1 expression is analyzed using Real Time PCR (Quantitative Real-time Polymerase Chain Reaction or Q-PCR). The analysis shows that mutation treatment with EMS using 0.07% concentration with a wide range of immersion time indicates that GmDREB-1 expression is higher than other treatments.Â  The results of this study proved that mutation induction using EMS can be used as an alternative to plant breeding to obtain drought resistant soybean.Â  Induction mutation useful for improvement genetic variability of plant.Â Â
Data Governance Strategy for E-Government in Bandung District Governments
Authors: Nindito Prasetyo Hanung , Fajar Surya Gumilang Soni
Published: July 2024

The era of information technology has a tremendous impact for the government in providing a variety of services both internally and externally through the data and information generated. But in some ways, Bandung district governments faced with data and information that are inadequate or not fully trustworthy, or the amount of data that is so great that it is often difficult to get reliable analysis results. In the fast-paced era of government-led course requires accurate data and information. If the Bandung district administration with different levels of the units do not have good data quality will certainly complicate the lead in obtaining the information needed in decision-making. Therefore, the government of Bandung district need to design data governance strategy and information in the system of government so that a system built able to answer the public demand for transparency of government activities and government's own internal needs, especially in terms of helping decision-making Bandung district government. this research use qualitative analysis with case study and focus produce data governance srategy model for E-government.Â
Mapped middle viewâ€™s inter-view prediction to multiview pre-diction in MVC
Authors: Ranjit Reddy B. , Ramana Reddy Dr.
Published: July 2024

Based on the study of several methods involved in getting the benefit of extracting the inter-view redundancy, a new technique is suggested in this paper. The complexity of choosing the reference frames for different views is simplified. Starting with the camera placed in the center of the scene and predicting its frames from the left, right and the middle view, a map table is created per MB (Macro Block). This map table is simply extended to all the other views for respective inter-view prediction. This method of inter-view prediction applies the best for low to medium motion pictures. The complexity is way reduced as only one of the viewâ€™s prediction is derived and the same is comprehended to all other views. The method of a variable reference frame buffer where one frame from each of the buffers is stored also contributes to the reduction in complexity of the approach to inter-view prediction. Using the standard multi-view test sequences, few experimental results had proved that this approach can be opted for low motion sequences with a lesser complexity and improved compression with a coding gain of ~30%. The quality loss in PSNR (Peak Signal-to-Noise Ratio) is negligible with a loss of 0.2dB.Â
Long Short-Term Memory Recurrent Neural Network based Mobility Prediction in MANET
Authors: Manimaran J. , T.Suresh Dr.
Published: July 2024

A Mobile Ad hoc NETwork (MANET) is formed by a gathering of wireless nodes without any infrastructure and the wireless nodes are not static but dynamic in nature. The mobile nodes can be connected together dynamically to route data packets from other mobile node present in the network. The mobility of the nodes is a significant feature in the MANET. The nodes follow one of the different mobility patterns which affect the connectivity among the other nodes. The dynamic changes in the connectivity decides the performance of the routing protocol and hence the performance of the overall network. When considering these characteristics of the MANET it becomes essential to predict the mobility of the nodes in both service-oriented and as well as application-oriented aspects of the dynamicÂ Â Â Â Â Â Â Â  networking. At the network level the mobility prediction is useful in pre-configuring services, provisioning of QoS and reservation of net-work resources and whereas in application level the end user can be provisioned with route guidance, information on network traffic and broadcasting important information to users. The mobility prediction will lead to the estimation of the stability of the routing paths and the distances between the neighboring nodes. This helps to improve the overall performance of the network by reducing the frequent link failures and increasing packet delivery ratio. In this paper, a novel mobility prediction method is developed using the historical time and positioning data. Auto Regressive Integrated Moving Average (ARIMA) and Long Short Term Memory (LSTM) with Recurrent Neural Network (RNN) are utilized for mobility prediction based on the sequence of time series data.Â Â
Dynamic monitoring of tropospheric ozone concentrations in northeast and Midwest Brazil: insights into seasonal variations and climatic influences
Authors: Souza Amaury de , de Medeiros Elias Silva , Özonur Deniz , de Oliveira-Júnior José Francisco , Abreu Marcel Carvalho , Pobocikova Ivana , Nune Raquel Soares Casaes
Published: July 2024

Rapid economic transformations, the urbanization process, and the intensification of industrialization have resulted in a notable increase in ozone (O3) emissions, particularly in the Northeast and Central-West regions of Brazil. To monitor the tropospheric ozone column (TCO) over these regions, the Aura Ozone Monitoring Instrument (OMI) was utilized for long-term, large-scale dynamic monitoring from 2008 to 2016. Seasonal variations in O3 concentration revealed that spring exhibited higher concentrations compared to winter. However, winter showed higher O3 concentrations than summer and autumn. Monthly variations displayed cyclical variability, with low values observed in April-June for Campo Grande and in October for Maceió, while high values were observed in October for Campo Grande and in May for Maceió. The spatio-temporal distribution of O3 concentration was influenced by natural and anthropogenic factors. TCO concentration showed positive correlations with temperature and wind. The monthly TCO demonstrated seasonal variation in both cities. Linear regression analysis indicated an increasing trend in TCO due to latitudinal variation between Maceió and Campo Grande during the study period.
Modelling of improved LSTM +1D convolution neural network methods for the diagnosis of SKF bearings
Authors: Feudjeu Josias Éric Signe , Wolfgang Nzié , Djami Aslain Brisco Ngnassi , Eloundou Pascal Ntsama , Priva Chassem
Published: July 2024

The ability to accurately detect and predict faults in automotive bearings is essential for diagnostic applications in the maintenance process. Although previous methods can accurately identify the various faults on bearings, they mostly produce erroneous results in the presence of certain mechanical factors when classifying the data. We propose a new diagnostic framework based on one-dimensional convolutional neural network (CONV1D) modelling and improved long short-term memory (LSTM), together with confusion matrices to evaluate data classification using the Deep Learning algorithm. Our framework classifies the data by taking into account the mechanical factors of the bearings (sudden load, rotation speed, operating temperature, etc.). Our results improve the training accuracy of the model to over 96.6%, with a percentage error of 23.29% for 50 iterations (repetitions). This percentage of training accuracy could be closer to 100% and that of the error margins to 0% if we increase the number of iterations. These results underline the promise of our method across our model and indicate how future expansion of the model by combining three methods can lead to further improvements in training accuracy with fewer errors and fewer iterations.
A Longitudinal control for an autonomous vehicle using modified particle swarm optimization method
Authors: Hadi Salih Elias Ghaidaa
Published: July 2024

The control system is a very important part of the efficiency and safety of autonomous vehicles. This paper proposes the use of Particle Swarm Optimization (PSO) and Modified PSO (MPSO) algorithms to optimize Proportional Integral Derivative (PID) controller coefficients for a longitudinal dynamics vehicle system. The objective is to enhance system performance, measured by metrics such as maximum Overshoot (OS), Steady-State Error (SSE), Settling Time (t_s) (2%), and Rise Time 〖(t〗_r). The MPSO algorithm, when combined with the PID controller, demonstrates a 2.5% improvement over the traditional PSO algorithm. The study contributes by showcasing the effectiveness of MPSO in fine-tuning PID controllers for superior control of longitudinal vehicle dynamics, as evidenced by the optimized response specifications.
Spatial-temporal changes assessments of wetlands in port Harcourt city council area of rivers state, Nigeria
Authors: M. Menegbo Emmanuel
Published: July 2024

Wetland ecosystems, found in nature, serve as vital habitats for numerous wildlife species and play a crucial role in providing sustenance to both migratory and local animals. Various factors such as climate change, population growth, unemployment, limited market access, inade-quate physical accessibility to wetlands, and lack of knowledge regarding their use contribute to the direct causes of changes in these wet-land areas. Therefore, it becomes crucial to study the spatio-temporal transformation of wetlands to understand the correlation between hu-man activities and wetland evolution. The objective of this study was to determine the distribution and size of wetlands in Port Harcourt city Local Government Area (LGA) in Rivers State, Nigeria. Additionally, the study classifies land cover into different types, identify their pat-terns, and measure the changes that occurred from 2000 to 2020. Land cover change was analysed to understand the specific alterations between the years 2000 and 2020. The Global Land Cover 30 post-processing imageries and Geographic Information System (GIS) tech-niques were employed to capture these changes spanning a 20-year period. By dividing the analysis into two different time periods, it was observed that the wetland area expanded by 1,144,800 square meters from 2000 to 2010. However, between 2010 and 2020, a reduction of 522,900 square meters was observed in the wetland size. Overall, the results demonstrate a net expansion of the wetland area by 621,900 square meters from 2000 to 2020. To ensure sustainable land use, it is crucial to strike a balance between utilization and conservation efforts. Therefore, it is recommended that Nigeria develops and implements policies and laws that effectively address this issue. Moreover, it is imperative to enforce existing policies and laws related to wetland conservation. Furthermore, creating awareness among the population is pivotal in curbing the excessive and inappropriate exploitation of wetlands.
Proposal of new models for prediction of the cost of agricultural raw materials in a business intelligence and machine learning context
Authors: Koffi Kanga , Beman Hamidja Kamagate , Aguié Pacôme Bertrand Brou
Published: July 2024

In this paper, we propose a data model for prediction of the cost of raw materials in a business intelligence context. Our contribution focuses initially on the implementation of a model with a star representation. This model highlights the fact (cost) to be predicted according to the axes linked to it. Secondly, from this basic model, our contribution is based on sub-models enabling us to carry out mono-dimensional anal-yses of the 'cost' fact. Thirdly, from these sub-models we establish associated mathematical models that allow us to deduce a global mathe-matical model from our basic model using linear regression and artificial neural network techniques. The implementation of these mono-dimensional sub-models in a machine learning database management system 'Minds DB', produces results that allow the prediction of raw material costs. Also, the predictions made by “Minds DB” are computationally validated by linear regression techniques which give better results than those of artificial neural networks.
Failure Prognosis using Dynamic Bayesian Networks and Decision Trees
Authors: DJOMO Élie , Nzié Wolfgang , Ngnassi Djami Aslain Brisco
Published: July 2024

Production managers commonly need to assess the reliability of production equipment throughout its life cycle. Since equipment is typically composed of multiple components, failures may stem from dependencies due to interactions. We have found that the literature does not adequately address these dependencies in the dynamic reliability models of the studied systems. The purpose of this study is to utilize decision trees (DT) and Dynamic Bayesian Networks (DBN) to approximate the failure probability of multi-component systems. We present a failure prediction method and utilize a parametric estimation approach grounded in a priori laws. The DBN learning process is assessed via a Monte-Carlo simulation method and a parametric compliance examination. Finally, this study illustrates the significant impact of using Dynamic Bayesian Networks (DBNs) in conjunction with Decision Trees (DTs) to evaluate the state of a water production system.
Ichnotaxonomic Revisions to Trace Fossils in Echinoderm Substrata from the Silurian Massie Formation of Southern Indiana
Authors: Thomka James , Smullen Shannon
Published: July 2024

Several ichnofossils emplaced within stalked echinoderm substrata have been described and figured from the middle Silurian Massie Formation of Ripley County, southeastern Indiana. Reconsideration and reinvestigation of figured and studied material resulted in the need for several ichnotaxonomic corrections. Most importantly, figured biogenic structures in the calyx of the crinoid Eucalyptocrinites and several pelmatozoan pluricolumnals were originally described as the bioerosional ichnogenus Trypanites, but actually belong to the ichnogenus Tremichnus, a parasitic embedment structure. Both relatively typical examples of Tremichnus paraboloides and T. paraboloides var. “minutus” are present. This shifts the timing of ichnofossil generation from post mortem to syn vivo within the echinoderm hosts and also helps explain why certain bioclasts were not bioeroded. In addition, several examples of the ichnospecies Tremichnus cystoidiphilus in holocystitid diploporitan hosts were discussed and figured. These are now also considered representatives of Tremichnus paraboloides, as T. cystoidiphilus is no longer recognized as a valid ichnotaxon. This not only corrects some ichnologic misidentifications, but also amends the list of ichnotaxa documented from the Massie Formation, as Trypanites is not present and Tremichnus cystoidiphilus no longer exists as an ichnospecies.
Urgensi Penalaran Hukum Dalam Pendidikan Hukum dan Implikasinya Terhadap Pemahaman Hukum
Authors: Suparno Suparno
Published: July 2024

The legal education system in Indonesia in practice applies logic and reasoning with scientific methods as a support in understanding the law. The writing of such an article aims to explore the understanding of reasoning in the legal field, in the form of general reasoning, specific reasoning in the form of legal reasoning models, and the implications of reasoning on legal understanding and consideration. The legal reasoning methods as referred to are categorized into two types, namely general reasoning in the form of reasoning with inductive, deductive, and abductive models or methods. The rest, there is specific reasoning, namely reasoning that is reviewed in terms of the school of legal philosophy. The use of models or methods of reasoning from these specifications is actually not separate from each other, but rather correlative and complementary. The application of such reasoning methods is actually aimed at developing the competence of prospective legal experts in understanding the law as a whole.
Selective Depletion of Alloreactive Donor T Cells Leads to Elimination of Graft-Versus-Host Reactivity and Stimulates Graft-Versus-Leukaemia/Myeloma Effect
Authors: Matějková Eva , Foltánková V. , Burešová I.
Published: July 2024

Graft-versus-host disease is a severe complication of allogeneic stem cell transplantation. The major role is played by alloreactive donor T-cell clones leading to host tissue damage. Selective depletion is a strategy to eliminate host-reactive donor T cells from haematopoietic stem cell allografts to prevent graft-versus-host disease while conserving useful donor immune functions. We have used irradiated peripheral blood mononuclear cells from cancer patients and healthy donor cells as responder cells in primary mixed leukocyte reaction. To prepare graft-versus leukaemia/myeloma-specific T cells, alloreactive T cells in primary mixed leukocyte reaction were depleted with anti-CD25 immunotoxin. The remaining T cells had insignificant alloreactivity in secondary mixed leukocyte reaction. Then, allodepleted donor T cells were repeatedly stimulated using purified leukaemia/tumour cells from the same cancer patient. Leukaemia/tumour-reactive donor T cells were purified using cell sorter on the basis of CD4 and CD8 activation. Their specificity was tested in nonradioactive cytotoxicity test. We performed 22 reactions (15 samples with leukemic and 7 samples with multiple myeloma cells). Selective depletion of alloreactive donor T cells with anti-CD25 immunotoxin led to significant depletion (99.2–100 %, median 99.7%). The effect of donor T cells was well preserved, while the graft-versus-host reactivation of donor cells was negligible, even after repeated stimulation with patient’s non-tumour cells. Thus, it is possible to selectively deplete donor alloreactive T cells with anti-CD25 immunotoxin. In the cases of leukaemia patients, a strong graft-versus-leukaemia reactivity was noticed in allodepleted donor T cells; in myeloma patients, graft-versus-myeloma reactivity was less significant.
Serum Levels of Matrix Metalloproteinases 2 and 9 and TGFBR2 Gene Screening in Patients with Ascending Aortic Dilatation
Authors: Šímová Jana , Škvor J. , Reissigová J. , Dudra J. , Lindner J. , Čapek P. , Zvárová J.
Published: July 2024

Development of ascending aortic dilatation (AAD) in about 10 % of patients operated for aortic valve disease (AVD) is probably based on intrinsic pathology of the aortic wall. This may involve an abnormality in the process of extracellular matrix remodelling. The present study evaluated the serum levels of specific metalloproteinases (MMP-2 and MMP-9) and investigated the gene for transforming growth factor receptor 2 (TGFBR2) in 28 patients with AVD associated with AAD (mean age 60.6 years), in 29 patients (68.9 years) with AVD without AAD, and in 30 healthy controls (45.3 years). The serum levels of MMPs were determined by ELISA. Further, we focused on genetic screening of the TGFBR2 gene. Plasma MMP-2 concentrations were significantly higher in the groups of patients compared to the controls: median 1315.0 (mean 1265.2 ± SD 391.3) in AVD with AAD, 1240.0 (1327.8 ± 352.5) in AVD without AAD versus 902.5 (872.3 ± 166.2) ng/ml in the healthy controls, in both cases P < 0.001. The serum levels of MMP-9 were significantly higher in AVD with AAD patients [107.0 (202.3 ± 313.0)] and in AVD without AAD patients [107.0 (185.8 ± 264.3)] compared to the healthy controls [14.5 (21.2 ± 24.8) ng/ml], in both cases P < 0.001. No significant correlation was observed between plasma MMP-2 and MMP-9 and ascending aorta diameter. Genetic screening did not reveal any variation in the TGFBR2 gene in the patients. Measurement of MMP levels is a simple and relatively rapid laboratory test that could be used as a biochemical indicator when evaluated in combination with imaging techniques.
A related-event approach to event integration in Japanese complex predicates: iconicity, frequency, or efficiency?
Authors: Chen Yiting
Published: July 2024

Event integration – the conflation of multiple events into a unitary event – plays a vital role in language and cognition. However, the conditions under which event integration occurs in linguistic representation and the differences in how linguistic forms encode complex events remain unclear. This corpus study examines two types of Japanese complex predicates – compound verbs [V1-V2]V and complex predicates consisting of a deverbal compound noun and the light verb suru ‘do’ [[V1-V2]N
suru]V – using an original “related-event approach”. Findings indicate that [[V1-V2]N
suru]V can be established based on coextensiveness alone, whereas [V1-V2]V typically requires direct or shared causality (“the inevitable co-occurrence constraint”). The related-event approach examines related events of linguistic concepts, such as causes and purposes of an event, identified through “complex sentences” from ultra-large-scale web corpora. This study demonstrates that such an approach is effective in clarifying causal relationships between verbs. Furthermore, this paper contributes to the “iconicity versus frequency” debate by showing that conceptually more accessible events (causality plus coextensiveness) tend to be represented in a simpler form than less accessible events (coextensiveness only), due to “efficiency”. The frequency of usage is a result of the nature of concepts rather than the driving force of coding asymmetries.
Comments on “sensitivity of estimands in clinical trials with imperfect compliance” by Chen and Heitjan
Authors: Baker Stuart G. , Lindeman Karen S.
Published: July 2024

Chen and Heitjan (Sensitivity of estimands in clinical trials with imperfect compliance. Int J Biostat. 2023) used linear extrapolation to estimate the population average causal effect (PACE) from the complier average causal effect (CACE) in multiple randomized trials with all-or-none compliance. For extrapolating from CACE to PACE in this setting and in the paired availability design involving different availabilities of treatment among before-and-after studies, we recommend the sensitivity analysis in Baker and Lindeman (J Causal Inference, 2013) because it is not restricted to a linear model, as it involves various random effect and trend models.
Improving islanded distribution system stability with adaptive decision-making framework
Authors: Sanaullah Kaka , Xia Mingchao , Hussain Arif , Zulfiqar Kashif
Published: July 2024

In an integrated distribution system incorporating distributed generation (DG), various technical challenges must be addressed when the grid becomes disconnected and transforms into an islanded system. The main focus in such circumstances revolves around ensuring the stability of the islanded network. This study presents an advanced decision-making framework for supporting islanded networks by integrating metaheuristic Black Widow Optimization (BWO) and the rate of change of the voltage stability index (RoCVSI). The Rate of Change of the Voltage Stability Index (RoCVSI) detects instability in islanded networks by continuously monitoring rapid changes in the voltage stability margin. Upon identifying potential instability, an advanced decision-making strategy utilizing the Black Widow Optimization (BWO) algorithm is deployed. BWO generates multiple load-shedding scenarios and evaluates their impact on system stability, iteratively refining the solutions through processes similar to selection and cannibalism in black widow spiders. The optimal load-shedding strategy is then implemented to selectively shed specific loads, thereby reducing demand and enhancing island stability. The proposed scheme’s effectiveness for islanded network stability is assessed by extensively analyzing the IEEE 33-bus system. The efficiency of the proposed approach is confirmed through a comparative analysis, with results indicating the better efficiency of the proposed method in the islanded network.
Management of lateral misalignment loss and total insertion loss with beam waist control in high contrast single mode coupling fibers
Authors: Prabu Ramachandran Thandaiah , Thillaigovindan Annalakshmi , Pandian Manimaraboopathy Maruthu , Elangovan Muthu Kumaran , Dorairajan Nithya , Chandrasekaran Karthikeyan , Hossam Zain Wafaa Fahim
Published: July 2024

This paper has illustrated the management of lateral misalignment loss and total insertion loss with beam waist control in high contrast single mode coupling fibers. The beam waist variations are clarified versus the fiber coupler wavelength and coupling length variations for the silica glass/fluoride glass fiber coupler with the optimum incident beam angle of 60°. Besides, the coupling loss is demonstrated against the fiber coupler wavelength and coupling length variations for the silica glass/fluoride glass fiber coupler with the optimum incident beam angle of 60°. The optimum beam waist and optimum coupling loss are deeply studied against the fiber coupler core radius variations for the silica/fluoride glass fiber coupler with the optimum incident beam angle of 60° and wavelength of 1,550 nm.
Rediscovery of the Bavarian pine vole (Microtus bavaricus) in Germany
Authors: Stille David , Rudolph Bernd-Ulrich , Ripperger Simon Peter
Published: July 2024

We report the rediscovery of Microtus bavaricus in Germany, a small mammal that had not been recorded here in more than 60 years. Between 2012 and 2014, a citizen science project addressed cat owners and farmers to collect rodents killed by cats and traps. Until 2017, we conducted 3,432 live trap nights to rediscover the species in and around the area of its discovery. However, only a three-step approach (screening large areas for the occurrence of pine voles using camera trapping, live trapping for collecting genetic material, DNA-barcoding) allowed for the rediscovery of this elusive species near Mittenwald in 2023.
Language politics and prestige in The Walled City: an exploratory study of the linguistic landscape of Intramuros, Manila
Authors: Manalastas Nicko Enrique Lanuzo
Published: July 2024

Tupas and Lorente (2014. A ‘new’ politics of language in the Philippines: Bilingual education and the new challenge of the mother tongues. In Peter Sercombe & Ruanni Tupas (eds.), Language, education and nation-building: Assimilation and shift in Southeast Asia, 165–180. New York: Springer) contended that “the politics of language in the Philippines always featured the tension between English on the one hand and the vernacular languages on the other.” But how exactly does this language dynamic manifest itself in the linguistic landscapes (LL) of the Philippines? To explore this question, this paper conducted an exploratory LL analysis of Intramuros, the famed “Walled City” of Manila, using Scollon and Scollon’s (2003. Discourses in place: Language in the material world. London: Routledge) place semiotics and Ben-Rafael et al.’s (2006. Linguistic landscape as symbolic construction of the public space: The case of Israel. International Journal of Multilingualism 3(1). 7–30) top-down and bottom-up sign classification. It found that English-based signs are used to accommodate a global audience, i.e., foreign tourists, whereas Filipino-based signs are used to police and regulate the behavior of residents and, to a certain extent, local tourists. To conclude, it argued that by looking at its linguistic landscape, historical districts like Intramuros articulate beliefs and assumptions on language that, in turn, make them deeply political and ideological sites.
Obsolete Pasts? Globalization as an Analytical Prism in Vincenzo Formaleoni’s History of the Black Sea (1788–89)
Authors: Boucher Lucile
Published: July 2024

It is not a surprise that, in times when beliefs about the cost-free benefits of infinite economic growth are urgently discussed, we find ourselves tempted to look back at the times when it emerged as a desirable future for the planet. This essay proposes an analysis of the Storia filosofica e politica della navigazione, del commercio e delle colonie degli antichi nel Mar Nero (Venice, 2 vols., 1788–89) written by Venetian polygrapher Vincenzo Formaleoni, who, urging the Venetians to regain their glorious trade in the Black Sea, revisited several centuries of ancient history. Building on Formaleoni’s reflection, I show that the increasingly global extension of commercial exchanges experienced in the 18th century reshaped contemporary ways to narrate the past, comprehend the present and conceive the future, a future which increasingly appeared as inescapably global. I argue that, beyond different economic doctrines, 18th-century historical narratives produced a vision where the history of humankind was essentially appreciated through an economic gaze – a sense of history that still prevails today.
Treating Brown Inks: Investigation into the Effects of Aqueous Treatment Methods on the Colour Stability of Bister, Sepia, Iron Gall and Logwood Inks
Authors: Weber Julia , Tsukada Masahiko , Pretzel Boris
Published: July 2024

The effects of selected conservation treatments on brown inks have been investigated using inks prepared following historic recipes and applied to pure cellulose paper. Tests were carried out on both freshly prepared and on artificially preaged samples to enable the evaluation of the effects of ageing phenomena on the colour stability of the inks. The behaviour of the inks was studied by observation of changes occurring during treatment, accompanied by colorimetric measurements before and after the treatments. The goal of this study was to assess the risks posed to objects containing such inks by the selected treatments and to facilitate the design of safe treatment strategies for such objects.
II. Zur Dialektik von Recht und Ritus
Authors: Neuheuser Hanns Peter
Published: July 2024

In public worships of the middle ages the communicative structures come into closer consideration when a ritual act is of relevance to the theology of the sacraments or to juridical implications. In these cases the spoken language seems to be of eminent importance, because the ritual initializes, strengthens or blesses (or cancels) a canonical status. Both a sacral language and a metaphorical text can create misunderstandings or errors. So interests and intentions have to be investigated in an examination or in the form of a dialogue, when ‘Amen’ as a simply answer is not sufficient. The dialogue during the ritual of baptism here is used as an example.
VIII. Vereine und Religionsgesellschaften als Formen der Dissidenz: Die konfessionelle und politische Auseinandersetzung um die ‚Lichtfreunde‘
Authors: Stamm-Kuhlmann Thomas
Published: July 2024

In the period of political repression up to the revolution of 1848–1849, private societies (Vereine) functioned as a surrogate for public life. The Gustav-Adolf-Verein, created to support diaspora communities, united protestants of different convictions, including clergy and believers who considered the traditional structures of the Prussian church insufficient to answer the needs of modern society. Among them were rationalists deemed heretics by King Friedrich Wilhelm IV. By means of his Patent of Toleration issued in 1847, the king attempted to squeeze the rationalists, called ‘Lichtfreunde’, out of his church, arguing that they were free to form new congregations (freie Gemeinden). Their training in public debate made several of the rationalist clergymen obvious candidates for the parliamentary bodies that came into life during the revolution of 1848–1849. Most of them were considered to be “democrats”.
Dijital Yöntemler ile Maksillofasiyal Protezler: Yenilikçi Tasarım ve Üretim Yaklaşımları
Authors: Sözen Yanık İrem , Uzel Sema Merve
Published: July 2024

ÖZET: Maksillofasiyal protezler, çene ve yüz bölgesindeki eksiklik veya bozuklukların tedavisinde önemli bir rol oynar. Bu eksiklikler, doğuştan gelen durumlar, gelişimsel sorunlar, patolojiler veya travmalar sonucu olabilir ve fiziksel, psikolojik ve fonksiyonel sorunlara neden olabilir. Maksillofasiyal protezlerin başarıları, uygun malzeme seçimine bağlıdır. Günümüzde, maksillofasiyal protezlerin üretiminde yaygın olarak kullanılan malzemeler arasında silikon elastomerler öne çıkar. Bu malzeme, doku uyumunu sağlama, kolay şekillendirme ve renklendirilebilme özellikleri ile öne çıkar. Çağdaş dijital teknolojiler, protez tasarım ve üretim süreçlerini büyük ölçüde kolaylaştırmıştır. Bilgisayar destekli tasarım (CAD), bilgisayar destekli üretim (CAM) ve üç boyutlu baskı (3D) gibi teknolojiler, maksillofasiyal protezlerin tasarım ve üretiminde daha hassas ve verimli bir yol sunar. Bu gelişmeler, maksillofasiyal protezlerin estetik, fonksiyon, maliyet ve sağlamlık açısından daha etkili bir şekilde tasarlanmasına ve üretilmesine olanak tanır. Bu nedenle, dijital teknolojilerin maksillofasiyal protez alanında kullanımı, hastaların yaşam kalitesini artırmak için umut verici bir gelişme sunmaktadır.
Anahtar Kelimeler: Maksillofasiyal protezler, dijital baskı, silikon