bluuebunny/crossref_metadata_2025 huggingface dataset:
SİNEMA ESTETİĞİ: GERÇEKLİK VE HAKİKAT
Authors: KOCA Serhat
Published: June 2023

Bu çalışmada; Selçuk Ulutaş’ın 2017 yılında yayınlanan “Sinema Estetiği: Gerçeklik ve Hakikat” isimli

çalışmasının irdelenmesi amaçlanmıştır. Sinema araştırmaları alanında konuya ilişkin akademik

tartışmalarının yetersiz ve ağırlıklı olarak sinemaya özgü araçların biçemsel kullanımı üzerine odaklanmış

olması, kitabın sinema estetiği alanındaki çalışmalara yaptığı katkıyı daha önemli hale getirmektedir.

Sinema estetiğini, estetik felsefesi bağlamında duygu boyutunun çözümlenmesine odaklanarak inceleyen

çalışma Türkçe literatürde eksik kalan bir alanın akademik zeminde tartışılmasına olanak sağlamaktadır.

Sanat eseri tarafından üretilen duyguyu, ‘Duygulam (affect)’ kavramı çerçevesinde inceleyen eser, sanatsal

gerçeklik ile duygu arasındaki bağlantıların kurulmasına odaklanmıştır. Bu yönüyle Ulutaş’ın kaleme aldığı

“Sinema Estetiği: Gerçeklik ve Hakikat” kitabı, sanat eseri olarak sinema filmlerine modern estetik felsefesi

penceresinden bakarken yeni bir yorum kazandırma arayışı ve estetik nesnelerin bilgi ile bağlantıları

üzerinden hakikat ve gerçeklik arasındaki gerilimi keşfetmeye yönelik bir çabanın eseridir. Bu açıdan eser

sinema estetiğini, sinemaya özgü araçların biçemsel kullanımı dışında incelemek isteyecek araştırmacılara

bir model oluşturabilecek niteliktedir.
Morphology, flow structure, and sediment transport in the Paraná and Piquiri Rivers confluence, Brazil
Authors: Bennert Altair , Hayakawa Ericson Hideki , Leli Isabel Terezinha , Stevaux José Cândido
Published: June 2023

Confluences are places of complex interaction of flow and sediments coming from different channels. Studies at large confluences have advanced the understanding of these environments on a larger scale. This study is carried out at the confluence formed by the Paraná and Piquiri rivers in the state of Paraná - Brazil. It characterizes the morphology, flow structure and sediment dispersion for these two channels. The methodology consists of: interpoling bathymetric data; analyze the ADCP data – Acoustic Doppler Current Profiler and quantify the suspended and bottom sediments. ADCP data was processed in VMT software and generated the following information: flow direction, sediments load (bed and suspended) and also used to calculate the moment ratio (Mr), discharge ratio (Qr), flow power (Ω), and specific flow power (ꞷ) in both channels. The results reveal the variation of channel depth, and specific morphological areas for the confluence with a sediment accumulation zone, submerged lateal bar and excavation area. The flow dynamics shows an increase in velocity in the Paraná River downstream of the confluence, and a decrease in the flow velocity of the Piquiri River as it approaches the junction. The confluence has flow stagnation zone, acceleration and shear layer. The concentration of suspended sediment is higher in the Piquiri River, on the other hand the Paraná River presents thicker fractions of bed material.
Secure Socket Layer: Fundamentals and certificate verification
Authors: Azhar-Ibrahim Mohammed Bilal
Published: June 2023

This paper intends to discuss SSLs, how they work, their advantages and drawbacks. It will end with the author’s thoughts on the efficacy of the system and whether it is a viable solution for the majority of network security problems or if those drawbacks prevent that.
A Tightly Coupled Indoor Positioning Method Using Widespread 5G and Low-Cost Magnetometer Based on Multi-Input CNN
Authors: Cheng Zhenhao , Zhao Dongqing , Guo Wenzhuo , Lai Luguang , Li Linyang
Published: June 2023

With the urgent need of precise positioning faced by internet of things (IoT) applications, the universality and cost of indoor positioning devices become key factors. Since the 5G network has been widely deployed, new opportunity is brought by tightly fusing the traditional low-cost sensors, i.e., the magnetometer. In this study, using 5G channel state information (CSI) and geomagnetic data, a multi-input convolutional neural network (CNN) localization system was proposed. First, to generate a data tensor that is easy for CNN processing, the raw data was reconstructed individually. Then, to comprehensively incorporate the features of 5G CSI and geomagnetic strength data, the ReLU function was chosen as the activation function of the convolutional layer. After that, a multi-input CNN was trained using the incorporated geomagnetic strength and CSI amplitude in the off-line side, and the trained CNN was recorded as a location fingerprint, which can be used for the user position prediction. Finally, in the online side and using a multi-input CNN, the 2-D coordinates are estimated and tested indoors in a typical conference room scenario. The results showed that longer sampling time of fingerprint data result in better uniqueness of the reference point, while the data collection time of locating points does not need to be long. Taking the positioning efficiency and accuracy into consideration, a sampling time of 3s at the reference point and 0.2s at the locating point are recommended. The positioning accuracy using the proposed method was 1.41 m, with an improvement of 22.9% compared with the 5G positioning, and an improvement of 18.0% compared with the 5G and geomagnetic fusing positioning using single CNN.
Predicting Dose-Dependent Carcinogenicity of Chemical Mixtures Using a Novel Hybrid Neural Network Framework and Mathematical Approach
Authors: Limbu Sarita , Dakshanamurthy Sivanesan
Published: June 2023

This study addresses the challenge of assessing the carcinogenic potential of hazardous chemical mixtures, such as PFAS, which are known to contribute significantly to cancer development. Here, we propose a novel framework called HNNMixCancer that utilizes a Hybrid Neural Network (HNN) integrated into a machine-learning framework. This framework incorporates a mathematical model to simulate chemical mixtures and enables the creation of classification models for binary and multiclass classification and regression. Through extensive experimentation, we demonstrate that our HNN model outperforms other methodologies, including Random Forest, Bootstrap Aggregating, Adaptive Boosting, Support Vector Regressor, Gradient Boosting, Kernel Ridge, Decision Tree with AdaBoost, and KNeighbors, achieving a superior accuracy of 92.7% in binary classification. To address the limited availability of experimental data and enrich the training data, we generate an assumption-based virtual library of chemical mixtures using a known carcinogenic and non-carcinogenic single chemical for all the classification models. Remarkably, in this case, all methods achieve accuracies exceeding 98% for binary classification. In external validation tests, our HNN method achieves the highest accuracy of 80.5%. Furthermore, in multiclass classification, the HNN demonstrates an overall accuracy of 96.3%, outperforming RF, Bagging, and AdaBoost, which achieved 91.4%, 91.7%, and 80.2%, respectively. In regression models, HNN, RF, SVR, GB, KR, DT with AdaBoost, and KN achieve average R2 values of 0.96, 0.90, 0.77, 0.94, 0.96, 0.96, and 0.97, respectively, showcasing their effectiveness in predicting the concentration at which a chemical mixture becomes carcinogenic. Our method exhibits exceptional predictive power in prioritizing carcinogenic chemical mixtures, even when relying on assumption-based mixtures. This capability is particularly valuable for toxicology studies that lack experimental data on the carcinogenicity and toxicity of chemical mixtures. To our knowledge, this study introduces the first method for predicting the carcinogenic potential of chemical mixtures. The HNNMixCancer framework offers a novel alternative for dose-dependent carcinogen prediction. Ongoing efforts involve implementing the HNN method to predict mixture toxicity and expanding the application of HNNMixCancer to include multi-mixtures.
PNG Geotectonics & the Geological Evolution of Feni
Authors: Ponyalou Olive L. , Petterson Michael , Espi Joseph
Published: June 2023

The Feni Island group is located at the southeastern end of the NW trending Ta-bar-Lihir-Tanga-Feni (TLTF) island chain, northeastern Papua New Guinea. This island chain is renowned for hosting alkaline magmas, geothermal activity, copper-gold mineralization and mining. The purpose of this paper is to present the geological observations of Feni Island within the context of the regional tectonic setting and evolution of the TLTF. The TLTF arc is a younger arc situated within the Greater Melanesian Arc, specifically within the New Ireland Basin bounded by New Ireland to the west and the extinct Kilinailau Trench in the east. The formation of the TLTF is attributed to post-subduction extensional tectonics relating to the opening of the Manus Basin and the magma is sourced from subduction-modified upper mantle. Normal, ex-tensional faulting is observed throughout the TLTF.
Computational Investigation of Conformational Properties of Short Azapeptides: Insights from DFT Study and NBO Analysis
Authors: El Khabchi Mouna , Mcharfi Mohammed , Benzakour Mohammed , Benjelloun Adil Touimi , Fitri Asmae , Song Jong-Won , Lee Ho-Jin
Published: June 2023

Azapeptides have gained much attention due to their ability to enhance the stability and bioavailability of peptide drugs. Their structural preferences, essential to understanding their function and potential applica-tion in the peptide drug design, remain largely unknown. In this work, we systematically investigated the conformational preferences of three azaamino acid residues in tripeptide models, Ac-azaXaa-Pro-NHMe [Xaa= Asn (4), Asp (5), Ala (6)], using the popular DFT functionals, B3LYP and B3LYP-D3. A solvation model density (SMD) was used to mimic the solvation effect on the conformational behaviors of azapep-tides in water. During the calculation, we considered the impact of the amide bond in the azapeptide mod-els on the conformational preferences of models 4-6. We analyzed the effect of the hydrogen bond be-tween the side-chain main chain and main-chain main-chain on the conformational behaviors of azapep-tides 4-6. We found that the predicted lowest energy conformation for the three models differs depending on the calculation methods. In the gas phase, B3LYP functional indicates that the conformers tttANP-1 and tttADP-1 of azapeptides 4 and 5 correspond to the type I of -turn, the lowest energy conformation with all-trans amide bonds, respectively. Considering the dispersion correction, B3LYP-D3 functional predicts the conformers tctANP-2 and tctADP-3 of azapeptide 4 and 5, which contain the cis amide bond preceding the Pro residue, as the lowest energy conformation in the gas phase. The results imply that azaAsx and Pro residues may involve cis-trans isomerization in the gas phase. In water, the predict-ed lowest energy conformer of azapeptides 4 and 5 differs from the gas phase results and depends on the calculational method. For azapeptide 6, regardless of calculation methods and phases, tttAAP-1 (-I turn) is predicted as the lowest energy conformer. The results imply that the effect of the side chain that can form hydrogen bonds on the conformational preferences of azapeptides 4 and 5 may not be negligible. We compared the theoretical results of azaXaa-Pro models with those of Pro-azaXaa models, showing that in-corporating azaamino acid residue in peptides at different positions can significantly impact the folding patterns and stability of azapeptides.
Aerobic Spore Formers from the Human Intestine: Genomic and Physiological Characterization of Potential Probiotic Strains
Authors: Vittoria Maria , Saggese Anella , Isticato Rachele , Baccigalupi Loredana , Ricca Ezio
Published: June 2023

A total of thirty-two aerobic spore former strains were isolated from intestinal samples of healthy children and analyzed for their hemolytic and antibiotic-resistance activities. Four strains selected as non-hemolytic and sensitive to all antibiotics recommended as relevant by regulatory agencies were short-listed and evaluated for their in silico and in vitro probiotic potentials. The four selected strains were assigned to the Bacillus velenzensis (MV4 and MV11), B. subtilis (MV24) and Priestia megaterium (formerly Bacillus megaterium) (MV30) species. A genomic analysis indicated that MV4, MV11 and MV24 contained a homolog of the gene coding for the fibrinolytic enzyme nattokinase while only MV30 encoded for a glutamic acid decarboxylase essential to synthesize the neurotransmitter GABA. All four strains showed a strong antioxidant activity, formed biofilm and produced/secreted quorum sensing peptides able to induce a cytoprotective stress response in a model of human intestinal (HT29) cells. Altogether, genomic and physiological data indicate that the analyzed strains do not pose safety concerns and have in vitro probiotic potentials.
Prediction and Prevention of High Intensity Mining Water Burst under Reservoirs in Western Mining Areas
Authors: Yang Tao , Dend Jiayue , Peng Bing , Zhang Jie , Zhang Yiming , Yan Yihui , Zhang Jianchen
Published: June 2023

China is rich in coal resources under water bodies. However, for a long time, the safety prediction of high-intensity mining under water bodies is one of the problems encountered by the coal industry. It is of great significance to realize safe mining under water bodies, improve the recovery rate of coal resources and protect reservoir resources. Therefore, this article takes the No. 5 coal seam and No. 11 mining area of Wangwa Coal Mine as the research object, and integrates physical simulation, numerical simulation, theoretical analysis and other methods to study the development height of water-conducting fracture zones in fully mechanized top coal caving mining. Solid-liquid coupling physical simulation test reveals the failure characteristics of overlying strata in goaf and the seepage law of reservoir water under the influence of mining. By comparing the monitoring data of borehole leakage, the measured data obtained by borehole peeping with the height data of water-conducting fracture zone obtained by the traditional empirical formula of three-under standard, the error between the two is as high as -29.39 %. In this case, the variance correction coefficient is used to correct the empirical formula, and on this basis, in order to effectively protect the surface water dam and water body, the mining height of coal seam in the working face with limited height mining is inversely derived. The research results provide a basis for the safety prediction of high-intensity mining under the reservoir dam in the ecologically fragile areas of western China and provide a scientific guarantee for the formulation of safety measures under such conditions.
Exploration of Potential Breath Biomarkers of Chronic Kidney Disease through Thermal Desorption Gas Chromatography Mass Spectrometry
Authors: Seong Si-Hyun , Kim Hyun Sik , Lee Yong-Moon , Kim Jae-Seok , Park Sangwoo , Oh Jieun
Published: June 2023

Breath volatile organic compound analysis is a non-invasive tool for assessing health status; the compositional profile of these compounds in the breath of patients with chronic kidney disease is believed to change with decreasing renal function. We aimed to identify breath volatile organic compounds for recognizing patients with chronic kidney disease. Using thermal desorption-gas chromatography-mass spectrometry, untargeted analysis of breath markers was performed using breath samples of healthy controls (n=18) versus non-dialysis (n=21) and hemodialysis (n=12) patients with chronic kidney disease in this cross-sectional study. A total of 303 volatile organic compounds alongside 12 clinical variables were used to determine the breath volatile organic compound profile. Metabolomic analysis revealed that age, systolic blood pressure, and fifty-eight breath volatile organic compounds differed significantly between the chronic kidney disease group (non-dialysis + hemodialysis) and healthy controls. Thirty-six volatile organic compounds and two clinical variables that showed significant associations with chronic kidney disease in the univariate analysis were further analyzed. Different spectras of breath volatile organic compounds between the control and chronic kidney disease groups were obtained. Multivariate model incorporating age, 2-methyl-pentane, and cyclohexanone showed high performance (accuracy, 86%) in identifying patients with chronic kidney disease, with odds ratios (95% confidence interval) P-values of 0.18 (0.07-2.49) 0.013; 2.10 (0.94-2.24) 0.025; and 2.31 (0.88–2.64) 0.008, respectively. Hence, renal dysfunction-associated characteristic profiles of breath volatile organic substances can be used as non-invasive markers to screen for chronic kidney disease.
An Overview about the Cryptocurrencies as Safe Haven Investment on the Development of the COVID19 Outbreak
Authors: Hakim Amira , Thalassinos Eletherios
Published: June 2023

Using the onset of the COVID 19 pandemic, this chapter examines the cryptocurrencies as safe haven investment for stocks of our time varying realization as to the economic chock centralized by the growing pandemic. Using daily data of COVID 19 measures and daily prices for 4 cryptocurrencies and 4 stocks assets for the whole year 2020, we apply both the VAR-DCC-GARCH and Wavelet Coherency models. New evidence of our chapter find that the Bitcoin and Etherum are highly correlated in the short and long horizon with the selected stocks. However for the case of the Litecoin and the XRP are correlated negatively with the stocks in the whole COVID19 period. We find evidence that, Bitcoin is strong safe haven asset for all the selected stocks during the COVID19 era, while the Litecoin is weak safe haven investment for all the stocks and the XRP is with lowest potential of safe haven investment for all the studied stocks. Within the study we are providing a diversification of hedging for the investors and policy makers suggesting that the cryptocurrencies acted as safe haven investment similar to the precious metals during historic crisis and as fiat money for any economic shocks might occurred. The abstract should summarize the contents of the paper in short terms, i.e. 150-250 words.
Preoperative Assessment of Perianal Fistulas With Combined Magnetic Resonance and Tridimensional Endoanal Ultrasound: A Prospective Study
Authors: Varsamis Nikolaos , Kosmidis Christoforos , Chatzimavroudis Grigorios , Apostolidou Kiouti Fani , Efthymiadis Christoforos , Lalas Vasilis , Mystakidou Chrysi Maria , Sevva Christina , Papadopoulos Konstantinos , Anthimidis George , Koulouris Charilaos , Karakousis Alexandros Vasileios , Sapalidis Konstantinos , Kesisoglou Isaak
Published: June 2023

Background: We designed a prospective study of diagnostic accuracy which compared pelvic MRI and 3D-EAUS versus pelvic MRI alone in the preoperative evaluation and postoperative outcomes of patients with perianal fistulas. Methods: The sample size was 72 patients and was divided into two imaging groups. MRI alone was performed in the first group. Both MRI and 3D-EAUS were performed in a parallel fashion in the second group. Surgical exploration took place after two weeks and was the standard reference. Park’s classification, presence of a concomitant abscess or a secondary tract and location of the internal opening were recorded. All patients were re-evaluated for complete fistula healing and fecal incontinence six months postoperatively. All the collected data was subjected to statistical analysis. Results: Group MRI included 36 patients with 42 fistulas. Group MRI + 3D-EAUS included 36 patients with 46 fistulas. The adjusted sensitivity and negative predictive value were 1.00 for most fistula types in the group of combined imaging. The adjusted specificity improved on intersphincteric fistulas in the same group. The adjusted balanced accuracy improved on all fistula types, except for rectovaginal. The combination of imaging methods showed improved diagnostic accuracy only on the detection of a secondary tract. Healing rate at six months was 100%. Fecal incontinence at six months didn’t present a statistically significant difference between the two groups (Fisher's exact test p-value > 0.9). Patients with complex perianal fistulas had a statistically significant higher probability to undergo a second surgery (x² test p-value=0.019). Conclusion: The combination of pelvic MRI and 3D-EAUS showed improved metrics of diagnostic accuracy and should be used in the preoperative evaluation of all patients with perianal fistulas, especially in those with complex type.
Trajectory Optimization and Control Applied to Landing Maneuvers on Phobos from Mars-Phobos Distant Retrograde Orbits
Authors: Baraldi Vittorio , Conte Davide
Published: June 2023

This paper presents research on the application of trajectory design, optimization, and control to an orbital transfer from Mars-Phobos Distant Retrograde Orbits to the surface of Phobos. Given a Distant Retrograde Orbits and a landing location on the surface of Phobos, landing trajectories for which total Δv for a direct 2-burn maneuver is minimized are computed. This is accomplished through the use of Particle Swarm Optimization in which the required Δv and time of flight are optimization parameters. The non-uniform gravitational environment of Phobos is considered in the computation. Results show how direct transfers can be achieved with Δv in the order of ∼30 m/s.
Advances in Metal-Organic Frameworks for the Removal of Chemical Warfare Agents: Insights into Hydrolysis and Oxidation Reaction Mechanisms
Authors: Oliver Madeleine C , Huang Liangliang
Published: June 2023

With the evolution of toxic chemicals continuing to progress, developing methods for the destruction of chemical warfare agents (CWAs) has become an increasingly important research topic. Metal-organic frameworks (MOFs) are a class of porous crystalline solids that have sparked interest in this area. Due to their exceptional porosities and large surface areas, MOFs possess superior adsorption, reactivity, and catalytic abilities, making them structurally ideal candidates for the capture and decomposition of target species. Additionally, the tunable networks of MOFs allow their chemical functionalities to be customized for various applications and operating conditions, making them practicable in personal protective equipment and adjustable to dynamic environments. This paper reviews experimental and computational studies on CWA removal by MOFs, with a special emphasis on nerve agent (GB, GD, and VX) removal via hydrolysis and sulfur mustard (HD) removal via selective photooxidation. With extraordinary structural stability and reusability, zirconium-based MOFs are the most promising materials for hydrolytic and photooxidative degradation of CWAs and are thus the primary focus of this work. First-principles approximations of the intrinsic catalytic reaction mechanisms towards different agents in Zr-MOFs are summarized, and developments in the structure-property relationships governing Zr-MOF design rules for efficient degradation in the aqueous and solid phases are discussed. We also examine recent progress in tuning and functionalizing MOFs to promote practical CWA removal under realistic battlefield conditions.
Overview of Mpox outbreak in Greece in 2022-2023; Is it over?
Authors: MELLOU KASSIANI , Tryfinopoulou Kyriaki , Pappa Styliani , Gkolfinopoulou Kassiani , Papanikou Sofia , Papadopoulou Georgia , Vassou Evaggelia , Kostaki Evaggelia- Georgia , Papadima Kalliopi , Mouratidou Elissavet , Tsintziloni Maria , Siafakas Nikolaos , Florou Zoi , Katsoulidou Antigoni , Sapounas Spyros , Sourvinos Georgios , Pournaras Spyridon , Petinaki6 Efthimia , Paparizos Vassilios , Papa Anna , Zaoutis Theoklis , Paraskevis Dimitrios
Published: June 2023

In Μay 2022, for the first time, multiple cases of mpox were reported in several non-endemic countries. The first ever case of the disease in Greece was confirmed on 8 June 2022 and a total of 88 cases were reported in the country until the end of April 2023. A multidisciplinary response team was established by the Greek National Public Health Organization (EODY) to monitor and manage the situation. EODY’s emergency response focused on enhanced surveillance, laboratory testing, contact tracing, medical countermeasures, and education of health care providers and the public. Even though management of cases was considered successful and the risk from the disease was down-graded, sporadic cases continue to occur. Here, we provide epidemiological and laboratory features of the reported cases to depict the course of the disease notification rate, that suggests measures for raising awareness as well as vaccination of high-risk groups of the population should be continued.
RESEARCH OF METHODS FOR WATER DISINFECTION
Authors: Makhonina Oksana , Shestopalov Oleksii , Baranova Antonina
Published: June 2023

Access to safe water remains a challenge in conflict-affected areas. Irregular water supply, which is becoming a common phenomenon, is caused by numerous factors, in particular: 1) wear and tear of water mains that need repair and were damaged as a result of hostilities; 2) reduction in the efficiency of important pumps due to power outages, shelling of power lines that supply energy to the pumps; 3) access problems due to the presence of armed groups, the presence of mines or unexploded shells, as well as the poor condition of roads, which prevent local residents from reaching wells or obtaining water delivered by tankers; 4) problems with access, due to which workers cannot perform repair work or obtain spare parts necessary for repairing water pipes; 5) normative legal acts that limit the freedom of movement and/or supply of goods or water across the contact line, affecting the supply of water from settlements controlled by Ukraine to settlements not controlled by Ukraine; as well as 6) frequent water supply interruptions, which contributed to the deterioration of the situation. In most cases, the use of a combined system can be optimal for high-quality water disinfection. Combined water disinfection is carried out by physical and chemical methods at the same time. Water pollution is determined by its bacteriological examination, which shows the total number of bacteria and the number of indicator bacteria of the coliform group (E. coli) in 1 milligram of water. The main type of bacteria of the Escherichia coli group is E.coli bacteria, which in practice are the easiest to determine and have a high level of resistance coefficient. Traditional methods of water disinfection, namely chlorination and ozonation, are harmful byproducts of disinfection. Ultraviolet radiation is a safe alternative, but quite energy-consuming. The paper analyzes existing methods of decontamination of drinking water, examines the state of the issue, and analyzes alternative methods of decontamination of drinking water.
ALGORİTHMS FOR FİNDİNG NON-İNTERSECTİNG ROADS ON İMAGES
Authors: Goyushova Ulviyya
Published: June 2023

Research relevance The use of GPS for UAVs to determine their current coordinates (navigation) leads to a number of problems. The development and improvement of the autonomous navigation method without the use of GPS is an actual issue, and this issue is considered in the article. The subject of study in the article is the issue of UAVs navigation based on video images. The purpose of work to develop an algorithm for autonomous navigation of UAVs that requires less resources. The following tasks are solved in the article: software modules are developed based on image processing algorithms; suitable model for invariant identification of curves was studied and applied. The following results were obtained: an algorithm was developed for the invariant identification of winding roads (curves) without intersections from different angles; developed software modules have been tested in the Republic of Azerbaijan on the basis of a map of the region called "Agsu Pass". Conclusions: the application of the method proposed in the article will enable rotation-invariant autonomous navigation of UAVs using less resources.
Clustering and anomalies of USA stock market volatility index data
Authors: Khoroshun Ganna , Ryazantsev Oleksandr , Cherpitskyi Maksym
Published: June 2023

Actuality. Investing money is an important way to improve the financial condition of both an individual and society as a whole. The problem of understanding financial data and making decisions regarding the investment of money in a certain project at this moment in time is relevant. The object of the study is the process of establishing the dependence of the value of the asset on time. The subject of research is mathematical models of data processing, data clustering and anomaly detection. The purpose of this work is to develop a method for effective investment of money using data processing and analysis methods for CVOE volatility index values in the USA, determination of clusters based on actions with assets, as well as checking the presence of anomalous data. Research results. Official data of volatility index values were selected and prepared for further analysis by removing incomplete sets and further normalization. Clustering of time series was carried out and the array was divided into five homogeneous groups. Clusters determine the ranges of the volatility index, which reflect the different sentiments of investors in the market and encourage appropriate actions with assets: to sell, to wait of index increasing, to buy, to remove money from developing projects and invest in stable ones, to wait of index decreasing. Segmentation of data, application of window function, centroids for segments were determined and signal reconstruction was carried out. Data anomaly points were identified. A comparative analysis was carried out based on the results of constructed initial data, reconstructed data and reconstruction error.
Synthesis of quasi-optimal fast filters by the least square criterion
Authors: Volovyk Andrii
Published: June 2023

The subject of the article research is special signal processing methods based on the optimal discrete filtering theory. The goal is to increase the efficiency of model-based methods for processing information signals by reducing computational costs and increasing the speed of optimal discrete filtering algorithms. Applied methods: description of dynamic processes in terms of state space using elements of vector-matrix algebra, weighted least squares method, elements of Kalman's theory of optimal discrete filtering, basic concepts of the O'Reilly–Luenberger theory of functional observers, elements of probability theory, statistical modeling by the Monte Carlo method. Results: a new method for reducing computational costs is proposed, which uses the approximation of the Kalman filter transfer matrix time dependence by given piecewise linear functions according to the least squares criterion. The effectiveness of the method was evaluated on the example of a second-order dynamical system. On the basis of a comparative analysis, several acceptable variants of the considered approximation are proposed. The practical significance of the work lies in the further development of methods for the synthesis of quasi-optimal high-speed filters. The operability of the proposed modifications is confirmed by the example of a second-order linear dynamic system. The efficiency of the algorithms was evaluated by the statistical modeling method according to the criterion "accuracy-computational costs". It is shown that the total savings in the number of multiplication and addition operations can reach tens of times due to insignificant losses in the accuracy of the filtering process.
THE STRUCTURE OF THE COMPUTER SYSTEM IN THE RESIDUAL CLASSES
Authors: Koshman Serhii , Krasnobayev Victor , Nikolsky Serhii , Kovalchuk Dmytro
Published: June 2023

The subject of the article is the formulation and solution of the inverse problem of optimal redundancy in the system of residual classes (RNS) based on the use of the dynamic programming method. The solution of this problem makes it possible to improve the reliability of the operation of computer systems and components (CSC) in the RNS. The purpose of the article is to increase the reliability of the functioning of CSC, which are built on the basis of the use of RNS, without reducing the speed of calculations, as well as to calculate and compare the reliability, in terms of the probability of failure-free operation, of CSC in RNS and a tripled computing system that operates in a positional binary number system (PNS). Tasks: to analyze the influence of the number system used on the reliability of the CSC, taking into account the primary and secondary redundancy; to synthesize a computing system in RNS for a l-byte bit grid based on the use of the passive fault tolerance method (constant structural redundancy); formulate and solve the inverse problem of optimal redundancy in RNS based on the use of the dynamic programming method; to check the correctness of the results obtained, calculate the conditional amount of computer system equipment in the residual classes; evaluate the efficiency of using RNS to improve reliability when building a redundant CSC in relation to a redundant CSC in the PNS. Research methods: methods of analysis and synthesis of computer systems, number theory, coding theory in RNS, reliability theory. The following results are obtained. The paper shows that the use of PNS as a number system does not allow a radical increase in the performance and reliability of CSC. In this regard, the article developed the concept of using RNS as a number system for constructing a CSC. Based on this, the inverse problem of optimal redundancy in RNS is formulated and solved. Conclusions. As shown by the results of calculations and comparative analysis, the use of RNS provides a higher reliability of the CSC than the majority three-channel computing system in the PNS. The obtained research results can be used for the synthesis of fault-tolerant computer structures in RNS.
The Using of Self-Talk Techniques in Neo-Sufism Counseling to Manage Teenager’s Inner Speech
Authors: Ridwan Ridwan
Published: June 2023

The facts show that the tendency of adolescent problematic behavior due to the negative whispers in themselves. This study was aims to determine the effect of the implementation of self-talk techniques, which were complemented by tadabbur techniques in Neo-Sufism counseling on the ability to manage the inner speech. The results of preliminary studies showed that out of 97 respondents showed 78% inner speech (IS) which was "underestimating and procrastinating." Data collection tool used IS (covert behavior) inventory, supplemented with observation guidelines. Observation guidelines were used to see overt behavior in the form of real life activity. The data were analyzed with in-and-inter-condition techniques, and were presented in graphical form. The results of three times data analysis with the baseline phase measurement showed that the data has been stable, and could be continued with the intervention phase. The results of the intervention phase analysis indicate that the IS increased in trends was very positive. The results of the analysis of observational data also showed increased positive activity.
Model of Accompaniment in Pesantren in Forming Positive Behaviors of the Santri Based on Sufistic Counseling
Authors: Tajuddin Yuliatun
Published: June 2023

This paper tries to reveal and describe the mentoring model in pesantren, in shaping the santris’ positive behavior with the sufistic counseling approach. The research covers the concepts and methods of mentoring to the santris as the objects with diverse backgrounds, ages and problems. It uses the qualitative descriptive approach to search for the pricture of a counseling model based on the sufistic counseling. Through the phenomenological analysis, the result shows that the mentoring model is based on the principle of optimizing the potential knowledge and religious nature inherited in each individual santri so that it will form self-awareness to change their behavior from the negative to the positive one. The sufistic counseling which refers to mental balance focuses on efforts to influence the heart (qalb) through the dhikr activities, controlling desires (nafs) by preoccupying learning activities and reading the Quran, and improving their ability of rational and critical thinking through studies on classic Islamic books.
Guidance and Counseling of Inabah Method: Building The Sufis Behavior as Life Style in Digital Era
Authors: Bassar Agus Samsul
Published: June 2023

The problems and challenges to educate the millennial muslims generations in the global and digital era are more difficult and complex. The millennial generations often to behave and  have a lifestyle determined by trends on social media, even though not all of those trends are suitable with religion or national culture. Some efforts were made in order to help the younger generation to behave well which are suitable with the guidance of religion or national culture. One of the effort  is Guidance and Counseling of the Inabah method by using a religious approach and it is usually done by Sufis, such as: the practice of worship, zikir (remembrance of Allah), and riyadhah. This research used a qualitative approach and descriptive method, the researcher describes the results of the research through the data collection techniques: interviews, observations, and documentation studies. The purpose is to research the guidance and counseling of the Inabah Method in building sufis behavior as a lifestyle in the digital era. Research shows that the students who have given Guidance and Counseling of the Inabah Method have better cognitive functions, a more peaceful and better  mood because they find the meaning of life, have the brighter and the better perceptions, increased self-awareness,  have the ability to appreciate time and life, and a variety of positive changes that greatly determine the personality and daily behavior.
Sufistic Value in the Book of Ta’lim al Muta'alim Written by al Zarnuji
Authors: Efferi Adri
Published: June 2023

This research examines in depth al-Zarnuji's thoughts about education, especially those relating among teacher and student with a sufistic approach. The object of the study is the ta'lim al muta'alim book written by al Zarnuji. Besides that, the writings of the figures who criticized the book were also examined. The purpose of this study, to know comprehensively al Zarnuji's thinking about the relationship of teacher with student in the teaching and learning process, especially those relating to their respective rights and obligations combined harmoniously with the concepts of teachings Sufism. This research is a literature study or analysis of documents, with emphasis on the analysis or interpretation of written material based on the context. The results of this study indicate that al-Zarnuji has provided a solution on how to create education that is not only worldly oriented, but also oriented towards the end. For example, in one discussion, it is revealed that: "Among the causes of forgetting is immorality and many sins". This means that the concept of successful learning in al-Zarnuji's perspective is to rid himself of all acts of sin and immorality. The effort that must be made by a student is to do taubah.
“Crying For Healing” Formulation in The Frame of Sufistic Counseling
Authors: Zulfa Nadhifatuz
Published: June 2023

Crying for healing formulation in the frame of sufistic counseling. This study discusses cry formulations for healing various problems, both physical and psychic health disorders that are wrapped in a frame of sufistic counseling. The object of this research is all forms and benefits of crying taken from literature, both literature books and research journals related to healing crying through Sufism. The purpose of this study is to produce crying for healing various problems that interfere with physical and psychological health through Sufism. The method used is descriptive qualitative method with content analysis techniques. The results of his research concluded that the crying for healing formulation in the frame of sufistic counseling included the types, benefits and the correct crying process to cure various problems. The Crying for Healing formulation in the frame of sufistic counseling is a cry accompanied by three things, namely tazkiyah an nafs (cleansing of the soul), riyadhah an nafs (mental training through worship), and taqarrub ila Allah (approaching Allah). The first thing that is done by a problematic individual if using this formulation for sufistic healing therapy is to "seek" God first. Allah is the right place to return. Only He is the source of all solutions and that gives medicine for all diseases.
Reviewing Islamic Counseling Through The Concept of Religious Coping
Authors: Wardhani Nurul , Iskandarsyah Aulia , Ninin Retno Hanggarani
Published: June 2023

The results of field studies obtained results regarding the process of Islamic counseling work on Muslim client. Data was obtained through interviews conducted with two speakers, each of whom was a practitioner of Muslim psychology who carried out Islamic counseling services and a Muslim client. Processing data through testing the validity of data with data/source triangulation techniques. Data analysis using the Miles & Huberman model. The Islamic counseling work process is then explored through the concept of religious coping. In reviewing the concepts of religious coping, all stages in the series of processes of Islamic counseling work include the use of the concept of positive religious coping in all different types of religious functions. However, there is a concept of belief/faith/fitrah as an aspect targeted in Islamic counseling that cannot be correctly explained through the concept of religious coping. 
Synthesis and Evaluation of Platinum Nanoparticles Using F. Carica Fruit Extract and Their Antimicrobial Activities
Authors: Taha Jenan Hussien , Abbas Nada Khudair , Al- Attraqchi Azhar A. F.
Published: June 2023

في هذا البحث، تم التوصل لطريقة جديدة بسيطة للتخليق الأخضر لجسيمات البلاتين النانوي (Pt NPs) باستخدام مستخلص التين. في الوقت نفسه، تم فحص خواص هيكل والمورفولوجيا لـ لجسيمات البلاتين النانوي  المُصنَّع بدقة. على وجه الخصوص، أظهرت جسيمات البلاتين النانوية Pt NPs)) التي تم الحصول عليها شكلًا كرويًا بمدى قطر يبلغ 5-30 نانومتر ومتوسط ​​جذر يبلغ 9.48 نانومتر باستخدام مجهر النافذ الإلكتروني (TEM) ومجهر القوة الذري (AFM)، على التوالي. بالإضافة إلى ذلك، تم فحص المنتج النهائي لجسيمات البلاتين النانوية (Pt NPs) كعامل مضاد للفطريات ومضاد للبكتيريا ضد نوعين Candida وAspergillus بالإضافة إلى Staphyllococcus aureus موجبة الجرام وAcinetobacter سالبة الجرام على التوالي. وفقًا لذلك، أظهرت البلاتين النانوي المُصنَّع مناطق تثبيط تبلغ 36 ملم و28 ملم ضد الأنواع الفطرية والبكتيرية، على التوالي. تلعب جسيمات البلاتين النانوية المقدمة دورًا نشطًا في كل من الأنشطة المضادة للفطريات والبكتيريا والتي تشير إلى وجود نظام مواد نانوية جيدًا للتطبيق الطبي الحيوي.
A Practical and Innovative Workflow to Support the Numerical Simulation of CO2 Storage in Large Field-Scale Models
Authors: Barbosa Machado Marcos Vitor , Delshad Mojdeh , Sepehrnoori Kamy
Published: June 2023

Numerical simulation of the CO2 storage process in porous media, such as in hydrocarbon (gas or oil) depleted reservoirs and in saline aquifers, has been the most indicated tool due to its ability to represent CO2 capacity and the different trapping mechanisms that retain CO2 in the subsurface. Given the complexity of the physicochemical phenomena involved, the modeling needs to incorporate multiphase flow, complex representation of fluids, rock, and rock-fluid interaction properties. These include CO2 reactions with aqueous species and with reservoir rock minerals, in addition to the structural and stratigraphic aspects of the reservoir heterogeneity. These phenomena need to be represented on suitable temporal and spatial scales for accurate predictions of their impacts. Currently, many studies are focused on simulating submodels or sectors of the reservoir, where using finer grids is still practical. This level of grid refinement can be prohibitive, in terms of simulation times, for modeling the entire reservoir. To address this challenge, we propose a new and practical workflow to simulate CO2 storage projects in large field-scale models. When the proposed workflow is applied in both synthetic and real field cases, simulation time is reduced by up to 96% compared to that of the fine-grid model, preserving the same results in representing the aforementioned mechanisms. The workflow is based on classical and standard approaches to handle the high simulation time, but in this study, they are structured and sequenced in three steps. The first one considers the most relevant mechanisms for CO2 storage, ranked from a high-resolution sector model. With the mechanisms prioritized in the previous step, a single-phase upscaling of petrophysical properties can be applied in the field-scale model, followed by adopting a grid with dynamic sizing. The proposed methodology is applied to saline aquifer models in this study, but it can be extended for storage in depleted hydrocarbon reservoirs.
Experimental study on surface residual stress and hardness of rotary ultrasonic grinding of titanium matrix composites
Authors: Dong Guojun , Liu rongsong , WANG Yukui , GUO Zhiqing , Lai Ruida
Published: June 2023

TiBw mesh reinforced titanium matrix composites were investigated by rotary ultrasonic grinding experiments using nickel-based electroformed diamond grinding wheel and building a single diamond abrasive grain model and a 2D rotary ultrasonic grinding finite element model. Surface residual stress is obtained by simulation and verified by univariate experiments. Combined with nanoindentation experiments, the changes of residual stress and hardness were acquired. The results show that the reinforced phase fibers will be subjected to high mechanical stress which break the fibers and turn into chips with matrix material. The residual stress of TiBw-rich region is closer to the actual value due to the high elastic modulus and low residual strain of TiB. Residual compressive stress around − 500MPa exists in the surface of workpiece under different process parameters. As the grinding depth increases, the residual stress increases first and then decrease. At the same time, the residual stress increases as the feed speed increase. And the residual stress decreases remarkably as the spindle speed increases. Meanwhile, the work hardening of workpieces changes similarly as the residual stress. The error between experiment and simulation is under 10%, which verified the effectiveness of the finite element model.