bluuebunny/crossref_metadata_2025_split huggingface dataset:
Estimation of Seismic Attenuation from Ambient Noise Coda Waves: Application to the Hellenic Subduction Zone
Authors: Ranjan Pratul , Stehly Laurent 
Published: February 2024

ABSTRACT
The decay of surface-wave coda in ambient noise cross correlations can facilitate the estimation of seismic attenuation. The coda quality factor (Qc) can be measured in longer period bands using ambient noise cross correlations, which is the main advantage of using them over earthquakes. The classic model of Aki and Chouet (1975) has been applied previously to estimate coda Q in the Alps using ambient noise cross correlations. The Alps represents an ideal environment for ambient noise study, because it has very high and near-uniform station density, and the region is away from oceanic noise sources. However, many regions around the world do not have uniform station density and may be seismically more active than the Alps. One such region is the Hellenic subduction zone (HSZ), because it has a high rate of seismicity, sparser station coverage, and is surrounded by seas from outside and within. In this study, we estimate ambient seismic noise Qc in 2.5–5, 5–10, and 10–20 s period bands for the HSZ, which did not exist previously. Then, we mitigate the effects of lapse time and window length, distance, azimuth, as well as the number of stacked days on the Qc. Mapping of Qc measurements in such a geographically heterogeneous setting poses additional challenges, which we solve using a novel approach that adaptively selects paths based on their lengths and azimuthal distribution. The major tectonic zones are identified in the resulting Qc maps in the form of low Qc such as the North Anatolian fault, the Kefalonia transform zone, the Gulf of Corinth, the volcanic centers, and so on. The results also show a good correlation with large topographical features such as the Hellenides and the Thessalian plains, which have also been noticed from Qc analysis in other parts of the world.
Multi Cost Function Fuzzy Stereo Matching Algorithm for Object Detection and Robot Motion Control
Authors: Shetty Akhil Appu , Hegde Navya Thirumaleshwar , Vaz Aldrin Claytus , Srinivasan C R 
Published: February 2024

Stereo matching algorithms work with multiple images of a scene, taken from two viewpoints, to generate depth information. Authors usually use a single matching function to generate similarity between corresponding regions in the images. In the present research, the authors have considered a combination of multiple data costs for disparity generation. Disparity maps generated from stereo images tend to have noisy sections. The presented research work is related to a methodology to refine such disparity maps such that they can be further processed to detect obstacle regions. A novel entropy based selective refinement (ESR) technique is proposed to refine the initial disparity map. The information from both the left disparity and right disparity maps are used for this refinement technique. For every disparity map, block wise entropy is calculated. The average entropy values of the corresponding positions in the disparity maps are compared. If the variation between these entropy values exceeds a threshold, then the corresponding disparity value is replaced with the mean disparity of the block with lower entropy. The results of this refinement are compared with similar methods and was observed to be better. Furthermore, in this research work, the v-disparity values are used to highlight the road surface in the disparity map. The regions belonging to the sky are removed through HSV based segmentation. The remaining regions which are our ROIs, are refined through a u-disparity area-based technique. Based on this, the closest obstacles are detected through the use of k-means segmentation. The segmented regions are further refined through a u-disparity image information-based technique and used as masks to highlight obstacle regions in the disparity maps. This information is used in conjunction with a kalman filter based path planning algorithm to guide a mobile robot from a source location to a destination location while also avoiding any obstacle detected in its path. A stereo camera setup was built and the performance of the algorithm on local real-life images, captured through the cameras, was observed. The evaluation of the proposed methodologies was carried out using real life out door images obtained from KITTI dataset and images with radiometric variations from Middlebury stereo dataset.
A Robust Fuzzy Fractional Order PID Design Based On Multi-Objective Optimization For Rehabilitation Device Control
Authors: Zaway Intissar , Jallouli-Khlif Rim , Maalej Boutheina , Derbel Nabil 
Published: February 2024

In this context, Fuzzy Fractional Order Proportional Integral Derivative (FOPID-FLC) controllers are emerged as efficient approaches due to their flexibility and ability to handle nonlinearities and uncertainties. This paper proposes the use of a FOPID-FLC controller for a two-degree-of-freedom (2-DOF) lower limb exoskeleton. Our proposal is based on an enhanced control approach that combines fuzzy logic advantages and fractional calculus benefits. Contrary to popular existing methods, that use the FLC to tune the FOPID parameters, the FLC in this work is used to generate the system torque depending on patient morphology. Indeed, our fundamental contribution is to design and implement an enhanced FOPID-FLC that achieves an adequate optimal control based on system rules composed of optimal torques and input data. The fractional calculus is approximated using successive first order filters. Next, a multi-objective optimization is established for the tuning of each FOPID parameters. Finally, the FLC is used to adjust the torque depending on the kid's age. The effectiveness of the proposed controller in various scenarios is validated based on numerical simulations. Extensive analyses prove that the FOPID-FLC outperforms the FOPID with a 90\% of improvement in terms of error performance indices and 20\% of improvement for the control action. Moreover, the controller exhibits improved robustness against uncertainties and disturbances encountered in rehabilitation environments.
Visual Servo Kinematic Control of Delta Robot using YOLOv5 Algorithm
Authors: Yamtuan Kawin , Radomngam Trirat , Prempraneerach Pradya 
Published: February 2024

Industrial delta robots with motion-and vision-base controllers, providing high-precision and fast/flexible motion, normally come with high cost and complex software. Low-cost delta robots with vision solution could be beneficial to vast industries to increase productivity and to reduce labor cost. A delta robot using a low-cost motion controller and an open-source vision system is developed to accomplish real-time visual servoing with high motion accuracy. In the low-cost motion controller, three parallel links’ upper-arm angles, computed from inverse kinematics for a given desired target position by a high-level computer, are used as reference position commands for three AC-motor drives. A low-level Arduino microcontroller is employed to convert these links’ angles to high-frequency pulses and on-off signals for synchronously controlling three motor angles and direction. Experimental results of a point-to-point motion tracking exhibit high-precision repeatability. Synchronous pulse generation from Arduino microcontroller and structural misalignments of parallel links are major challenges for achieving high motion accuracy. For the vision-based system, the YOLOv5 algorithm is implemented along with a Python GUI Application. Then, the visual-servo performance is evaluated on localization accuracy and recognition rate of 3-color objects. However, a partial object occlusion can reduce the visual classification rate. A sorting task of 4-category medicine boxes demonstrate a high-speed pick-and-place operation using the low-cost visual-servo system of this delta robot. Therefore, integration of low-cost visual servoing with this delta robot can revolutionize various industries, like automobile, pharmaceutical, and food sectors, in separating, sorting and packing applications.
Salt concentration in substrate modulates the composition of bacterial and yeast microbiomes of Drosophila melanogaster
Authors: Yakovleva Ekaterina , Danilova Irina , Maximova Irina , Shabaev Alexander , Dmitrieva Anastasia , Belov Andrey , Klyukina Alexandra , Perfilieva Ksenia , Bonch-Osmolovskaya Elizaveta , Markov Alexander 
Published: February 2024

Aim: Microbiomes influence the physiology and behavior of multicellular organisms and contribute to their adaptation to changing environmental conditions. However, yeast and bacterial microbiota have usually been studied separately; therefore, the interaction between bacterial and yeast communities in the gut of Drosophila melanogaster (D. melanogaster ) is often overlooked. In this study, we investigate the correlation between bacterial and yeast communities in the gut of D. melanogaster .
Methods: We studied the shifts in the joint microbiome of Drosophila melanogaster , encompassing both yeasts and bacteria, during adaptation to substrate with varying salt concentrations (0%, 2%, 4%, and 7%) using plating for both yeasts and bacteria and NGS-sequencing of variable 16S rRNA gene regions for bacteria.
Results: The microbiome of flies and their substrates was gradually altered at moderate NaCl concentrations (2% and 4% compared with the 0% control) and completely transformed at high salt concentrations (7%). The relative abundance of Acetobacter , potentially beneficial to D. melanogaster , decreased as NaCl concentration increased, whereas the relative abundance of the more halotolerant lactobacilli first increased, peaking at 4% NaCl, and then declined dramatically at 7%. At this salinity level, potentially pathogenic bacteria of the genera Leuconostoc and Providencia were dominant. The yeast microbiome of D. melanogaster also undergoes significant changes with an increase in salt concentration in the substrate. The total yeast abundance undergoes nonlinear changes: it is lowest at 0% salt concentration and highest at 2%-4%. At a 7% concentration, the yeast abundance in flies and their substrate is lower than at 2%-4% but significantly higher than at 0%.
Conclusions: The abundance and diversity of bacteria that are potentially beneficial to the flies decreased, while the proportion of potential pathogens, Leuconostoc and Providencia , increased with an increase in salt concentration in the substrate. In samples with a relatively high abundance and/or diversity of yeasts, the corresponding indicators for bacteria were often lowered, and vice versa . This may be due to the greater halotolerance of yeasts compared to bacteria and may also indicate antagonism between these groups of microorganisms.
Analisis Pengaruh Program Makmur Terhadap Peningkatan Produksi Usahatani Padi
Authors: Nabila Putri , Bakar Abu , Wijaya I Putu Eka 
Published: February 2024

Padi merupakan produk pangan dasar penduduk di Indonesia yang dikonsumsi setiap. Kecamatan Tempuran dan kecamatan pedes menjadi daerah yang berkontribusi terhadap hasil produksi padi terbanyak di Kabupaten Karawang. Ketidakstabilan produksi padi di Kabupaten Karawang disebabkan permasalahan seperti luas lahan yang menyempit adanya alih fungsi lahan, penggunaan pupuk subsidi yang dibatasi, harga pestisida yang mahal. Program Makmur merupakan salah satu bentuk upaya untuk mengatasi permasalahan produksi padi. Penelitian ini bertujuan untuk menganalisis pengaruh luas lahan, benih, pupuk, pestisida, tenaga kerja, tenaga mesin, dan dummy program Makmur terhadap produksi padi. Metode penelitian yang digunakan dalam penelitian ini yaitu metode kuantitatif deskriptif. Metode pengumpulan data dilakukan dengan cara wawancara dan pengamatan pada seluruh peserta program Makmur. Data diolah menggunakan IBM SPSS 26 dan dianalisis menggunakan metode analisis regresi berganda dengan fungsi produksi cobb-douglas. Hasil penelitian menunjukkan bahwa: terhadap produksi seluruh variabel berpengaruh signifikan, dan secara parsial variabel pada perhitungan regresi sebelum program Makmur yaitu variabel tenaga kerja (lnX5) dan tenaga mesin (lnX6) berpengaruh signifikan terhadap produksi padi (Y). Pada perhitungan regresi sesudah program Makmur seluruh variabel yaitu luas lahan, (lnX1), benih (lnX2), pupuk (lnX3), pestisida (lnX4), tenaga kerja (lnX5) dan tenaga mesin (lnX6), tidak memiliki pengaruh signifikan terhadap terhadap Produksi padi (lnY). Pada perhitungan regresi dengan dummy program Makmur yaitu pestisida (lnX4) dan tenaga kerja (lnX5) memiliki pengaruh signifikan terhadap variabel dependent atau terhadap produksi padi (lnY).
Faktor-Faktor yang Memengaruhi Konsumen dalam Pengambilan Keputusan Pembelian Cabai Rawit (Capcisum frustescens L.)
Authors: Amellia Riski , Wijaya I Putu Eka 
Published: February 2024

Cabai rawit merupakan komoditi potensial untuk di budidayakan karena nilai jualnya yang tinggi. Selain itu peluang bisnis cabai rawit juga tinggi seiring dengan tingginya kebutuhan cabai rawit di Indonesia maupun luar negri. Penelitian ini bertujuan untuk menganalisis faktor-faktor yang berpengaruh dalam keputusan pembelian cabai rawit secara simultan dan parsial. Metode penelitian yang digunakan adalah deskriptif kuantitatif. Pengambilan sampel dilakukan dengan cara accidental sampling dengan sampel sebanyak 100 responden. Penelitian ini menggunakan data primer yang diperoleh dari wawancara, kuesioner dan observasi serta data sekunder yang diperoleh dari buku, jurnal, artikel dan internet. Pengukuran variabel menggunakan skala likert yang kemudian ditransformasi dengan Metode Suksesif Interval. Uji instrumen data menggunakan uji validitas dan uji realibilitas. Uji asumsi klasik yang digunakan adalah uji normalitas, uji multikolinieritas, uji heteroskedastisitas dan uji autokorelasi serta uji hipotesis dengan menggunakan analisis regresi linier berganda. Hasil dari penelitian ini adalah faktor budaya, sosial, pribadi dan psikologis berpengaruh secara simultan terhadap keputusan pembelian. secara parsial faktor sosial (X2), faktor pribadi (X3), dan faktor psikologis (X4) berpengaruh nyata terhadap keputusan pembelian cabai rawit dengan koefisien positif. Faktor budaya (X1) tidak berpengaruh nyata terhadap keputusan pembelian cabai rawit.
Kontribusi Dukungan Sosial Teman Sebaya terhadap Regulasi Emosi Pada Mahasiswa yang Sedang Menyusun Skripsi
Authors: Kurniawan Muhammad Fajar , Mulyani Mulyani , Imadduddin Imadduddin 
Published: February 2024

Thesis is a determining factor in completing university education. When working on theses, many students experience stress and find it difficult to control their emotions which causes negative emotional regulation. The thing that drives students to complete theses is the need for social support that also helps relieve negative emotions that arise, The hypotheses in this study are (Ha) There is a contribution of peer social support to emotional regulation in students who are writing a thesis at the Faculty of Ushuluddin and Humanities UIN Antasari Banjarmasin, and (Ho) There is no contribution of peer social support to emotional regulation in students who are currently studying. writing a thesis at the Faculty of Ushuluddin and Humanities UIN Antasari Banjarmasin.
This research is a field research with quantitative method. The sample in this study were 213 students of the Ushuludin and Humanities Faculties of UIN Antasari Banjarmasin. This study used the social support scale and the emotion regulation scale as data collection tools.
The results obtained are that social support has a significant effect on emotional regulation of students of the Faculty of Ushuluddin and Humanities UIN Antasari Banjarmasin (p = 0.000 meaning p <0.05) so that Ha is accepted, while the amount of social support for emotional regulation of students of the Faculty of Ushuluddin and humanities UIN Antasari Banjarmasin is by 7.3%.
Gambaran Religiusitas Mahasiswa Penyintas Depresi
Authors: Norani Norani , Faridah Siti , Fadhila Mahdia 
Published: February 2024

Depression is the second leading cause of death in the world. Depression among students occurs not only in Indonesia but also in the world. Therefore, it is important to study depression among students. Religiosity and mental health are two things that are interrelated because religion is a human nature. So the solution to be able to overcome mental problems is to practice religious values ​​in everyday life. Because the closer a person is to God and the more worship he has, the more peaceful his soul will be, so he will be able to face disappointments and problems in life. This is what underlies the researcher to conduct research on the religiosity of depression survivors.
This study aims to describe the religiosity of depression survivors at UIN Antasari Banjarmasin. This study uses a qualitative case study method, the research subject is one person with a history of having experienced major depression. Collecting data using in-depth interviews, observation, Beck Depression Inventory II scale and religiosity scale.
The results of the study show a picture of the subject's religiosity, namely in the dimension of belief, the subject has a strong belief in Allah SWT. In the dimension of worship, the subject performs mandatory worship regularly, but for sunnah worship, the subject still rarely does it. So it can be said that the dimensions of worship are quite good. In the practical dimension, the subject realizes religious values ​​well in his daily life. In the dimension of knowledge, the subject has a religious teaching background from his parents and formal education in Islamic boarding schools and Madrasah Aliyah Negeri, so that the subject has broad insight and good religious knowledge. In the dimension of experience, the subject experienced depression as a form of reprimand for neglecting Allah SWT. Where the picture of the subject's religiosity is influenced by parental teaching, religious experience factors, life factors and intellectual factors.
HALAL INDUSTRIAL FOOD WASTE MANAGEMENT: LESSON LEARNT FROM JAPAN
Authors: Surilawana Sulaiman Nor 
Published: February 2024

One-third of all food produced for human use is wasted or discarded into the environment via landfilling. Currently, the only cheaper and easier option in Brunei is landfill. Dumping organic waste materials from industrial food waste into the environment contributes to harmful environmental effects. The value of food waste is being increasingly recognised, and Brunei Darussalam is among the highest in the area, with a solid waste output of 1.4 kg per capita per day. However, just 11.3% of food waste is estimated to have been recycled, with the remainder ending up in landfills. Through participation in the JENESYS Programme, the researcher virtually visited a company at Kobe Plant. The session was eye-opening and related to responsible consumption and production where the company implemented zero waste. In this context, this paper will highlight the waste reduction concept to enhance the current state of halal industrial food waste management. Through waste reduction or zero-waste implementation, these wastes can be converted into value-added products. This would strengthen the halal food sector and support the government's aspiration to achieve Brunei Vision 2035 Goal 3 – Dynamic and Sustainable Economy as well as SDG Goal 12 – Responsible Consumption and Production. This study also shows how effective waste reduction for a sustainable, healthy environment and circular economy may be achieved by handling industrial food waste.
Zero Knowledge Bi-Party Computation Using Oblivious Transfers for Recommender Systems
Authors: Rajagopalan Anirudh , Singh Kunwar , Jayashrri Balaji , John Anu E 
Published: February 2024

Abstract
Behavioural recommendations, utilizing data collected from online activity, is invaluable in helping advertisers reach the most suitable audience for their products. However, user privacy could be better pro-tected if it could be accomplished without collecting a particular individual’s data.
We provide a generic construction to leverage the clas-sical Zero-Knowledge (ZK) protocol into a composable oblivious transfer (OT) protocol, preserving the ZK protocol’s round-complexity properties and security guar-antees in the resulting OT protocol. Incorporating Fuzzy Logic, this amalgamation ensures that users’ sensitive, personal and private data is always kept secure when communicating with the recommender systems while not compromising the capacity of these systems to cre-ate cohorts of similar individuals.
Nonsplit Graphs with Split Maximal Edge Induced Subgraphs
Authors: Manikandan V. , Monikandan S. 
Published: February 2024

Abstract

A split graph is a graph in which the vertices can be partitioned into an independent set and a clique. We show that every nonsplit graph has at most four split maximal proper edge induced subgraphs. The exhaustive list of fifteen classes of nonsplit graphs having a split maximal proper edge induced subgraph is determined in this paper.
MSC Classification: 05C78 , 05C75 , 05C60
Helicobacter pylori, Atrophic Gastritis, and Breast Cancer Risk: A Prospective Cohort Study with 8-year follow-up
Authors: Chitapanarux Taned , Traisathit Patrinee , Srikumm Pimwarat , Homkham Nontiyan , Chitapanarux Imjai 
Published: February 2024

Abstract
Helicobacter pylori (H. pylori), a known risk factor for gastric cancer, may have a role in the development of extragastric cancer; however, the evidence is equivocal. Using a prospective cohort, we investigated the relationship between H. pylori infection, atrophic gastritis (AG), and cancer risk. Incidence rates and hazard ratios (HR) derived by Cox proportional hazards models and adjusted for relevant confounders were assessed by H. pylori and AG status at baseline. The hospital-based study involved 1,252 participants, with an average follow-up time of 8 years. We identified 16 breast cancers, 14 lymphomas, four liver cancers, four cholangiocarcinoma, four skin cancers, and two gastric cancers. Both H. pylori and AG status increased breast cancer risk statistically significantly (HR = 7.35; 95% CI 2.08–27.13 and HR = 22.31; 95% CI 6.36–78.31). In a multivariable-adjusted model, we found a significant increase in risk among women with H. pylori infection and AG. (HR 6.46, 95% CI 1.61–26.02). H. pylori infection, AG, and a family history of breast or gastric cancer were independent risk factors for breast cancer. In conclusion, women who have H. pylori infection and AG are more likely to develop breast cancer, and screening programs should focus on identifying these individuals.