bluuebunny/crossref_metadata_2025 huggingface dataset:
Interleukin-17A influences the vulnerability rather than the size of established atherosclerotic plaques in apolipoprotein E-deficient mice
Authors: Wang Bo , Hou Xitan , Sun Yaning , Lei Chao , Yang Sha , Zhu Yao , Jiang Yingming , Song Li
Published: September 2022

Interleukin (IL)-17A plays a role in the development of atherosclerotic plaques; however, the mechanism remains unclear. In this study, apolipoprotein E-deficient (ApoE–/–) mice were fed a high-fat diet to induce atherosclerosis, followed by the treatment with exogenous recombinant IL-17A or the neutralizing antibody to confirm the impact of IL-17A on the established atherosclerotic plaques. We found that both the stimulation of IL-17A and blockage of endogenous IL-17 via antibody did not affect the size of the established plaques. However, IL-17A significantly increased the vulnerability of plaques characterized by the accumulation of lipids and T cells with a concurrent decrease in the number of smooth muscle cells. In addition, the blockage by IL-17 neutralizing antibody attenuated plaque vulnerability. Furthermore, we found that although IL-17A did not affect the efferocytosis of macrophages to apoptotic cells, it promoted the apoptosis of macrophages in the presence of oxidized low-density lipoprotein in vitro. Also, IL-17A upregulated chemokines MCP-1 and CXCL-10 expression in the plaques. Our data indicated that IL-17A controlled both SMC and macrophage accumulation and the apoptosis within the plaque, which may further weaken the aorta wall. This study suggests that IL-17A may be a potential therapeutic target for cardiovascular diseases.
The temporal rhythm of scenes and the safety in educational space
Authors: Shakir Sarah , Jaleel Ameera
Published: September 2022

The visual scene represents the scope of vision or what the eyes see (image or an appearance) and is perceived by the senses, as well as it is the place of the event and natural and physical design elements. So, the relationship between the design scenes and the user is important because it has psychological and physiological effects to achieve human needs such as the safety, which is one of the human needs. Scenes’ design plays a role in stimulating a sense (safety or fear) and is reflected during the person’s performance of various activities in the space. Recently, a phenomenon of insafety and fear has spread in children’s schools, and many studies have recorded that this phenomenon is common in 2–5% of children and adolescents, and 4–5% of children in the primary stage suffer from anxiety disorders that prevent them from practicing their studies normally. Through a pilot study of the Iraq schools, it was found that 55% of them suffer from insafety and fear. This research is an attempt to study the relationship between the scene temporal rhythm to stimulate children’s (safety and fear) feelings. To achieve the aim of this research, a descriptive and analytical methodology was adopted with two theoretical and practical axes. Finally, the results and conclusion show that there is a relationship between the temporal rhythm characteristics and the type of scene that affects the behavior patterns and diversity activities (it means that it stimulates a sense of safety for children in the educational space).
Are netizens social Darwinists?: Recontextualization of Chinese survival discourse in online discussions about the US-China trade war
Authors: Liu Qing
Published: September 2022

Survival discourse has emerged as a prominent theme in online discussions about the US–China trade war on the Chinese social media platform Zhihu. This study undertakes a critical discourse analysis of this emergent discourse by examining 80 answers (totaling 95,753 words) from Zhihu users within the broader context of the invocation of survival discourses in modern Chinese history. An intertextual method was adopted in this study, which helps us to better understand netizens’ arguments in favor of the Chinese government’s tough stance on the trade war with the US and the probable success of this strategy. The analysis reveals the historicity and intertextuality of these discourses, identifies strategies which are employed to support a tough stance on the trade war, and reflects on their implications.
Evaluating the Use of Alkali-Silica Reaction Mitigation as a Metric for Assessing Pozzolanicity
Authors: Benkeser Daniel , Kurtis Kimberly
Published: September 2022

Regional shortages in fly ash have led to the consideration of alternative pozzolanic sources, including ponded coal combustion products (CCP). Additionally, prevention of alkali-silica reaction (ASR) expansion remains an important consideration in construction, but with less fly ash available, alternate means for mitigation are sought. Here, the efficacy of ponded CCP in limiting ASR expansion is evaluated, considering 13 ponded CCP samples obtained from 4 power plants. Each was evaluated in accordance with ASTM C618-19, Standard Specification for Coal Fly Ash and Raw or Calcined Natural Pozzolan for Use in Concrete, to assess specification compliance and to determine its ability to evaluate the pozzolanic reactivity of tested supplementary cementitious materials (SCMs). Additional testing was performed on ASR mitigation to determine if pozzolanicity among candidate SCMs can be assessed through comparisons to inert quartz. Blended mortars were tested at 20 % replacement by weight for compressive strength via 2-in. mortar cubes, whereas ASR mitigation was tested through the accelerated mortar bar test (ASTM C1567-21, Standard Test Method for Determining the Potential Alkali-Silica Reactivity of Combinations of Cementitious Materials and Aggregate (Accelerated Mortar-Bar Method)). It was determined that the ability to meet strength activity index limits is heavily influenced by the physical state of the ash (primarily loss on ignition) instead of its chemical reactivity. Additionally, many materials that meet ASTM C618 specifications poorly mitigate ASR damage because of a lack of pozzolanicity, which was related to higher Fe2O3 contents. Based on these results, the following changes to ASTM C618 are recommended: (1) ASTM C1260-21, Standard Test Method for Potential Alkali Reactivity of Aggregates (Mortar-Bar Method),/C1567 14-day expansion for a control mixture and a 20 % SCM mixture when blended with a reactive aggregate reported relative to the control; (2) remove Fe2O3 from the primary oxide content calculation; and (3) include an upper limit of 12 % on Fe2O3 content. These changes will improve ASTM C618’s ability to reliably report a candidate SCM’s reactivity and potential to mitigate ASR.
Additive Manufacturing for Medical Data: Optimized Medical Image Data
Authors:   ASTM International
Published: September 2022

Description

This document has been developed in cooperation with ISO/TC 261 and ASTM Committee F42 on the basis of a partnership agreement between ISO and ASTM International with the aim to create a common set of ISO/ ASTM standards on additive manufacturing (AM).
Construction and tribological properties of 2D heterojunction of g-C3N4/MoS2 nanocomposites
Authors:   Changzhou Vocational Institute of Engineering, Changzhou, Jiangsu Province, 213164, PR China, Qiu G. X. , Hang W. F. ,   Changzhou Vocational Institute of Engineering, Changzhou, Jiangsu Province, 213164, PR China, Li W . ,   Changzhou Vocational Institute of Engineering, Changzhou, Jiangsu Province, 213164, PR China, Tang G. G ,   Changzhou Vocational Institute of Engineering, Changzhou, Jiangsu Province, 213164, PR China
Published: September 2022

2D/2D heterojunction of flower-like MoS2 nanosheets anchored on g-C3N4 was fabricated through a facile hybridization approach, and systematically investigated by various characterization methods (e.g. XRD, SEM, TEM and XPS analysis). Furthermore, tribological properties of g-C3N4/MoS2 composites containing with liquid paraffin were comparatively measured by UMT-2 multispecimen friction and wear tester, and various tribological variables including additive concentration, applied load and rotational speed were also investigated in details. Among all samples, 2%-g-C3N4/MoS2 composites exhibit the minimal friction coefficient (~0.08), and the anti-wear performance is improved obviously. The improvement of tribological properties of the base oil is due to the synergistic effect of g-C3N4 and ultra-thin molybdenum disulfide nanosheets. This study provides a new idea for the design of two-dimensional layered composites with enhanced tribological properties of lubricating oil and matrix.
Synthesis and characterization of Cu2S:Al thin films for solar cell applications
Authors:   Department of physics, College of Education For Pure Science (Ibn Al-Haitham), University of Baghdad, Baghdad, Iraq, Hamid A. A. , Al-Maiyaly B. K. H. ,   Department of physics, College of Education For Pure Science (Ibn Al-Haitham), University of Baghdad, Baghdad, Iraq
Published: September 2022

In this work Nano crystalline (Cu2S) thin films pure and doped 3% Al with a thickness of 400±20 nm was precipitated by thermic steaming technicality on glass substrate beneath a vacuum of ~ 2 × 10− 6 mbar at R.T to survey the influence of doping and annealing after doping at 573 K for one hour on its structural, electrical and visual properties. Structural properties of these movies are attainment using X-ray variation (XRD) which showed Cu2S phase with polycrystalline in nature and forming hexagonal temple ,with the distinguish trend along the (220) grade, varying crystallites size from (42.1-62.06) nm after doping and annealing. AFM investigations of these films show that increase average grain size from 105.05 nm to 146.54 nm while decrease the roughness from 5.93 nm to 4.73 nm after doping. Hall measurements show that the conductivity change from 1.43 × 10− 3 to 7.33 × 103 (Ω cm)-1 , these films have p-type conductivity and the mobility varied from 3.87 × 102 to 8.48 × 1010 cm2 /V.s. Optical constants were calculated for these films in the range of wave length (300-1100) nm using UV/Visible measurement. The visual properties showed that Cu2S membrane have a high value of the absorption coefficient and decrease the optical energy gap values from (2.25-1.5) eV after doping with 3% Al. The characterization of these films can chose in the application of solar cells.
Study the effect of ZnO nanoparticles reinforced sawdust /epoxy composites on mechanical properties
Authors:   Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq, Al-Lhaibi S. A. , Al-Shabander B. M. ,   Department of Physics, College of Science, University of Baghdad, Baghdad, Iraq
Published: September 2022

In the last few decades, Composites reinforced with natural fibre have generated more interest by researches and engineers due to their law density, high strength, low cost, light weight, recyclability and biodegradability and has gained a special category of green composite. In this work, wood dust reinforced epoxy composites were prepared with 20:80 % filler vol. zinc oxide nanoparticles (ZnONPs) sawdust/epoxy composites were synthesized by a simple casting method with five different ratios [0.1, 0.3, 0.5, 0.7 and 1% Vol.] of ZnONPs. The samples of the nanocomposites were characterized by the scanning electron microscopy (SEM) technique. The flexural strength and hardness tests were carried out to study the mechanical properties of the composites. From the observation it was found that the mechanical property increases up to certain filler 0.5 vol. % and then properties gradually decrease.
Influence of reaction temperature, time and molar ratio on hydrothermal synthesis of MoS2 nanosheets
Authors:   Centre of Advanced Study in Physics, Department of Physics, Panjab University, Chandigarh- 160014, India, Arora A. , Sharma K. ,   Department of Physics, Goswami Ganesh Dutta Sanatan Dharma College, Sector 32-C, Chandigarh-160030, India, Tripathi S. K. ,   Centre of Advanced Study in Physics, Department of Physics, Panjab University, Chandigarh- 160014, India
Published: September 2022

MoS2 nanosheets (NS) were synthesized using a hydrothermal reaction between sodium molybdate and thiourea. The influence of various parameters like reaction temperature, time and molar ratio on hydrothermal synthesis is studied. It was found that the reaction temperature and molar ratio had a greater impact than reaction time. All these parameters influenced the structural and optical properties of MoS2 that were verified by various characterization techniques like X-ray Diffraction (XRD), UV-Visible (UV) spectroscopy and Photoluminescence (PL) spectroscopy. The thin film of the sample was formed by utilizing drop casting method and current voltage characteristics were measured to calculate the conductivity. The results reveal that optimization of the reaction is must before employing it for certain application and the work will further motivate researchers to utilize it in supercapacitors, Field Effect Transistors (FETs) and various optoelectronic applications.
VSS-LMS: LMS Algorithm Experimental Approach
Authors: Momoh M. O. , Ubadike O. C. , Kachalla I. A. , Isa-Bello M. A. , Chinedu P. U. , Abdullahi M. B.
Published: September 2022

Optimizing the error between the estimated signal and expected signal is the major goal of a filtering algorithm and the Least Mean Square (LMS) is a well-known adaptive filtering algorithm which plays a significant role in achieving this aim. Nonetheless, the LMS algorithm is usually characterised with low convergence speed in respect to the minimum Mean Square Error (MSE) and flexibility in application. In this paper the Least Mean Square (LMS) algorithm is dealt with a different approach. Contrary to designing LMS filters with fixed step size, variable step size is introduced to improve its convergence speed. An experimental study is considered to formulate a new method for adjusting the step size of the LMS algorithm in this work. Simulation results as well as performance evaluation of the formulated variable step size (VSS-LMS) are presented and compared with the conventional LMS algorithm in terms of MSE and convergence speed.
Development of Walking Robot Using Compliance Mechanism
Authors: Chua Wei Ming , Muhammad Khairul Fikri
Published: September 2022

Walking robot is a trend in this 21st century as Industrial Revolution 4.0 which involved automation has become a hot topic. Unlike ordinary moving robots, walking robots that take humans and animals as references can move on unpaved surfaces.  Compliance mechanism is a flexible mechanism that transfers input force into output force through plastic deformation of certain members in the structure. A compliant structure can be classified as a monolithic structure that deforms elastically without any joint or linkage between the members. Unlike motorised robot legs requiring an input motion in each joint and link, a single input force can operate a compliant leg. Therefore, this research aims to develop a 3D printed compliant leg. This project is challenging because there is no reference for the single-piece compliant leg development using Three-Dimensional(3D) printing technology. The application of Jansen Linkage in the development of the compliant leg also results in difficulties because there is no standard equation for the calculation of each member in the Jansen Linkage. Hence, the development of the Jansen Linkage using different dimensions will solve these problems by varying the difference occurring upon changing the dimension. We also make Finite Element Analysis (FEA) of the product. The thesis will be supported by the walking motion pattern, force vs time graph and FEA analysis results for the product.
Articulated Robot Arm
Authors: Mohd Fauzi Mohamad Hafiz , Mohd Khairuddin Ismail , P. P. Abdul Majeed Anwar , Mohd Razman Mohd Azraai , Mohd Isa Wan Hasbullah
Published: September 2022

In medical rehabilitation programs, trajectory tracking is used to increase the repeatability of joint movement and the patient's recovery in the early phases of rehabilitation. In order to achieve that, the robotic arm has been implemented since it can provide a precise and move in almost perfect motion. This manuscript aim to develop and simulate a 2DOF robotic arn that will able to tracking the trajectory successfully. Hence, in order to achieved that a modeling, simulation, and control of a Two Degree of Freedom (2-DOF) Robot Arm is being discussed in this manuscript. First, the robot specifications, as well as Robot Kinematics forward and inverse kinematics of a 2-DOF robot arm, are provided. The dynamics of the 2-DOF robot arm were then formulated in order to obtain motion equations by using the Eular-Lagrange Equation. For the controller of the robot, a control design was created utilising a PID controller. All the data is recorded from the margin of error as well as the overshoot and peak settling time is being record via matlab. The data is differentiate by with with controller, with PI and PID, in which the error is less than 12.5 and 1.63 consecutively. The data that being gathered show that a controller best suited in this rehabilitation robot
Investigation of the Performance of PID Control Scheme for Linear Conveyor System of Manufacturing Shopfloor
Authors: Ab Rahman Nur Naajihah , Mat Yahya Nafrizuan , Zainal Abidin Nuril Aqilah
Published: September 2022

Conveyor systems have been utilized widely in the manufacturing shop floor as well as in the production line. It is ideals in enhancing productivity and maximizes the operation of a warehouse. However, the performance of the conveyor system can be influenced by a controller as well as the DC motor itself in providing the best response. Therefore, this paper will discuss the performance of the conveyor system that applied PID controller tuned by the Ziegler-Nichols tuning method. To validate the performance of the proposed controller and tuning method on the conveyor system, it will be compared with the DC motor without implement any controller as well as tested onto the prototype of the linear conveyor system. Performances from both different conditions of conveyor system will be evaluated in terms of transient response that are, rise time, settling time and time constant for the simulation part that will be done in MATLAB/Simulink software while position and time will be the other characteristics in evaluating the performance by using the hardware. At the end of the study, by considering both simulation and experimental results, the DC motor with a PID controller shows a better performance for the conveyor system compared to the DC motor without applying any controller.
Feeder Load Balancing Using Genetic Algorithms and Artificial Neural Network
Authors: Suleiman Aminu Adaira , Shobowale Kafayat Oluwatoyin , Ter Kumater Peter , Sunday Yusuf Samuel , Otokiti Razak , Bonet Mathias Usman , Maafan Aul Marcus
Published: September 2022

Low voltage power distribution system problems such as system planning, energy loss minimization and restoration usually involve proper load balancing or network reconfiguration procedures. To achieve an appreciable level of load phase balance, feeder reconfiguration using appropriate switching control strategy such as: Simulated Annealing, Tabu Search, Particle Swarm Optimization, and heuristic algorithms are viable preferences. However, the systematic solution to load phase balancing can be greatly enhanced optimally through implementation of an appropriate combinatorial optimization procedure such as Genetic Algorithms and Artificial Neural Network. Accordingly, this paper presents a genetic algorithms procedure to enhance the load phase balancing optimization and then train an artificial neural network to automate the reconfiguration of the distribution network loads, thus ensuring an optimal phase balancing in the system. An Intel® 2.0 GHz, 4GB RAM HP255 computer-based MATLAB® 14 was used for the neural network training, testing, and the implementation of the genetic algorithms. The outputs of the algorithms are the switching sequence for a balanced network. The parameters ΔIph (max - min) and Δ(Iph – Imax) which is the maximum difference between the phase currents, which are ideally zero if there are no imbalances in the network, shows considerable improvement in the balancing when compared with other literatures. This work presents the application examples of the proposed methods using real test data.
Investigation of Accuracy and Response Time in GPS-based Car Mileage Monitoring Device
Authors: Soon Thor Wei , Osman Zahid Muhammed Nafis
Published: September 2022

Nowadays, newly invented vehicle equipped with smart mileage monitoring system where notification is given when maintenance mileage reached. However, this feature is not own by old car owner. Furthermore, the available monitoring device or system in market is expensive and not accurate. Thus, in this research a Car Mileage Monitoring device with features such as mileage monitoring, maintenance service notification and car tracking system is design and develop. The objectives of this research are to investigate the accuracy percentage of the mileage monitoring system and the response time of the tracking system. In addition, a mobile application is to be fabricated to integrate with the device. In this research, STM32F103C microcontroller (Blue Pill) and A7 GPS+GSM/GPRS module is used. Moreover, Haversine formula is used to calculate distance between two coordinates. The results show that, the average percentage of accuracy for car mileage monitoring system is 91.38%. For response time, the maximum time taken is 24.54 seconds and minimum response time is 13.22 seconds. Furthermore, a mobile application with pop up maintenance notification, car tracking button and mileage reading monitor is developed. In short, the device developed is a reliable device in mileage monitoring where it has a high accuracy percentage when compare to car odometer. Besides, the device is also useful in car tracking where the response time is very short. And lastly, the device fabricated is integrated with a smart maintenance notification where notification is sent when the maintenance limit reach.
A Study on the Parameter Selection of Bat Algorithm in in Optimizing Parameters in Camera Auto Calibration Problem
Authors: Mohd Said Rahaini , A Aziz Khairul Azha , Zainal Abidin Amar Faiz , Mat Jizat Jessnor Arif , Khairuddin Ismail Bin , Widiyanto Sigit , Abdul Waduth Mohamed Faisal
Published: September 2022

In camera auto calibration, the major goal is to discover intrinsic parameter values that minimize the cost function. This study proposes to implement Bat algorithm, a stochastic optimization technique, to determine the optimum intrinsic parameter values. Each bat in the Bat Algorithm represents a potential solution to the issue, and each dimension in the Bat Algorithm's search space represents one of the basic parameters: skew, focal length, and magnification factor. The Kruppa's equation is the basis for the cost function in this study. By studying the echolocation behavior of the microbats, the bats will try to improve the fitness with each iteration. The Bat Algorithm's performance is evaluated using a case study from a database from Le2i Universite de Bourgoune. This paper studies the correlation of different parameters selection in Bat Algorithm in solving the camera auto-calibration problem. Finding shows that Bat Algorithm produces output that as expected as theory of Computational Intelligence suggested.
Development of Audio-Visual Speech Recognition using Deep-Learning Technique
Authors: How Chun Kit , Mohd Khairuddin Ismail , Mohd Razman Mohd Azraai , P. P. Abdul Majeed Anwar , Mohd Isa Wan Hasbullah
Published: September 2022

Deep learning is a technique with artificial intelligent (AI) that simulate humans’ learning behavior. Audio-visual speech recognition is important for the listener understand the emotions behind the spoken words truly. In this thesis, two different deep learning models, Convolutional Neural Network (CNN) and Deep Neural Network (DNN), were developed to recognize the speech’s emotion from the dataset. Pytorch framework with torchaudio library was used. Both models were given the same training, validation, testing, and augmented datasets. The training will be stopped when the training loop reaches ten epochs, or the validation loss function does not improve for five epochs. At the end, the highest accuracy and lowest loss function of CNN model in the training dataset are 76.50% and 0.006029 respectively, meanwhile the DNN model achieved 75.42% and 0.086643 respectively. Both models were evaluated using confusion matrix. In conclusion, CNN model has higher performance than DNN model, but needs to improvise as the accuracy of testing dataset is low and the loss function is high.
Directional Control of Wheel Syncronization in Vehicle Steer by Wire System
Authors: Fahami S. M. H. , Mohd Turan Faiz
Published: September 2022

In conventional steering system a drive directly control the movement of the front wheel by control the steering wheel through a mechanical column shaft. However, in steer by wire (SBW) system, the front wheel is control by electronic function due to elimination of the mechanical column shaft and are replaced with several sensors and actutator.  This paper propose a control algorithm to syncronize the front wheel angle accordance to steering wheel input angle. The models of SBW system are indentified.  Two control method are compare which is a PID and LQR controller is used to control the front axle motor of front axle system. The effect with and without disturbace input are applied to analyze the robustess of the controllers. To investigate the effectiveness of the proposed control algorithm, the matlab tools software is used. And, based on the result shows, both controller able to control the front wheel angle, however method using  the LQR control provide more better steering response.
Budget law of the Republic of Lithuania under the influence of the European Union law
Authors:   Vilnius University, Lithuania, Sudavicius Bronius
Published: September 2022

The article deals with the question of the impact of the European Union law on budget regulation in the law of the Republic of Lithuania after its accession to the European Union in 2004. The influence of the European Union law on the Lithuanian budget law is twofold - direct when the requirements of the relevant European Union legislation are transposed into national budget law, and indirect, when national budget law is changed during the harmonization of national tax laws with the requirements of the European Union law. As the article deals only with the aspects of direct impact, such questions, as harmonization of annual and medium-term budget planning, changes in the budget planning process, strengthening of fiscal discipline, the requirements of the Stability and Growth Pact and their implementation in national law are analysed in the article.
Spatial Elements that Create the Quality Public Space
Authors: Fejza Adelina
Published: September 2022

Public space is an essential element of human wellbeing and the overall development of the city and society. This paper presents a brief outlook of the past and present situations related to the planning and use of public spaces in urban environments. In doing so, this paper addresses the finding that public spaces gradually lose the focus of quality in them, and as time goes by, these spaces are reshaping even in human-unfriendly places. The purpose of this presented research is to find out what are the key elements that create a quality public space. To achieve it, it is used a comparative–descriptive method comparing two relevant pieces of literature or authorial approaches, Henaff and Strong's “Public Space and Democracy” and Pérez-Gómez's “Attunement”. These two examples fulfill the criteria of having different interdisciplinary approaches toward public space, explained through different periods and backgrounds. It is found that the crucial elements these authors suggest for building qualitative space are well-grounded. As such, they can be implemented in an integrated physical form because they base on the human factor or the physical presence and experience in space. In the conclusion part, a suggestion was made to include these elements in the process of planning and designing public spaces in the context of the challenges of modern living culture.
REQUEST FOR ADVISORY OPINION: A COMPREHENSIVE ANALYSIS OF ECHR PROTOCOL 16
Authors: KOLÇAK Hakan , GENÇTÜRK Ünal
Published: September 2022

Bu çalışma, 2013 yılında imzaya açılan ve 2018 yılında yürürlüğe giren İnsan Hakları Avrupa Sözleşmesi’ne (İHAS) ek 16 Nolu Protokol’ün uygulanmasına ilişkin öğretideki boşluğu doldurmayı hedeflemektedir. Mezkûr Protokol hükümlerince İnsan Hakları Avrupa Mahkemesi’ne (İHAM) taraf devlet yüksek mahkemeleri tarafından yapılan danışma görüşü başvuruları çalışmamız dâhilinde incelenmektedir. Mevzubahis Protokol’ün ana amaçları arasında yer alan ulusal yüksek mahkemeler ile İHAM arasındaki etkileşimi artırma hedefini başarmak için işlevsel kılınabilecek bir mekanizma, Türk hukukundaki çeşitli uygulama örneklerinden istifade edilerek çalışmamızda ayrıca önerilmektedir. Söz konusu mekanizma, İHAM’ın tavsiye niteliğindeki danışma görüşüne kısmen veya tamamen uymayan taraf devlet yüksek mahkemesine, görüşe uymama gerekçesini açıklama yükümlülüğü getirmektedir.
AİLE HAYATINA SAYGI VE AİLE HAYATININ KORUNMASI HAKKI BAĞLAMINDA ELE ALINAN BİRKAÇ KURUM ÜZERİNE İNCELEME
Authors: USTA Özlem
Published: September 2022

Aile hayatına saygı ve aile hayatının korunması hakkı, Türkiye Cumhuriyeti Anayasası’nın 20 ve 41. maddelerinde koruma altına alınmış temel bireysel haklardandır. Ancak düzenlemeler detaylı olarak incelendiğinde, birey ve aileye sağlanan korumaların kapsam ve sınırlarında belirsizlikler bulunduğu görülmektedir. Dolayısıyla kapsam ve sınırları belirlemede AİHM ve Anayasa Mahkemesi gibi yüksek mahkemeler bize yol göstermekte, hatta bazı durumlarda hakkın kapsamını genişletebilmektedir.

Bu kapsamda yapılan çalışmada, aile hayatına saygı hakkı ve ailenin korunması hakkı bağlamında değerlendirilen hususlar, Çocuğun Soyadı, Evlenme Hakkı, Fiili Birliktelikler, Eş Durumu Tayini ve Pembe Oda başlıklarında incelenmiştir. Ayrıca çalışmada, bu hakların koruma altına alınmasına yönelik yargı kararlarında zaman içinde yapılan değişiklikler ve içtihatlarla değinilen ilkeler de incelenmiştir.

Çalışmanın sonunda, özellikle yüksek mahkeme kararlarında aile hayatının korunması ve aile hayatına saygı hakkına büyük önem verildiği, aile hayatın-da saygı gösterilmesine ilişkin görüş ve uygulamaların zamanla edinilen tecrübeler ve değişen yaşam koşulları doğrultusunda yeniden düzenlendiği ve bu yöndeki kanuni yaklaşımın güncel olarak takip edildiği değerlendirilmektedir.
Thermally induced phase transforming cellular lattice driven by bimetal beams
Authors: Nagayama Hayato , Kanegae Sosuke , Hosoda Masaki , Okugawa Masayuki , Koizumi Yuichiro
Published: September 2022

Phase Transforming Cellular Material (PXCM) exhibits transformation by loading and maintains the deformed shape even after unloading after compression and restores the original shape by deforming in the opposite direction. Conventional PXCM needs to be stressed reversely to restore its original shape. Bimetals, i.e., clad sheets of metals with large differences in the coefficient of thermal expansion, can spontaneously bend in response to temperature changes because of thermal stress. In this study, we designed a lattice structure that not only deforms when a compressive/tensile load is applied but also changes its shape by heating/cooling by using bimetal for the curved beam of PXCM. A newly created PXCM is named thermally induced PXCM. The TI-PXCM exhibited a large recovery strain of 20% or more with a temperature hysteresis of 302 K in the temperature range of − 190 to 200 °C.

Graphical abstract
Office blood pressure: overcoming the problems of diagnosis and control of arterial hypertension treatment
Authors: Platonova E. V. , Fedorova E. Yu. , Gorbunov V. M.
Published: September 2022

Some national guidelines since 2017 considered the most common method for diagnosing and controlling hypertension (HTN) (office blood pressure (OBP) measurement) as screening only. Automated OBP (AOBP) measurement claims to be a unique method by obtaining a standardized result, even in primary health care. AOBP improves the reliability of data by reducing the influence of various errors on result. However, although the level of AOBP is on average lower than similar OBP in clinical and research practice and is comparable to the mean 24-hour BP monitoring, at present, all international guidelines emphasize the mandatory use of ambulatory BP measurements for diagnostic purposes. Whether the results of AOBP and the reference level ≥130/80 mm Hg are equivalent with the same OBP level, the use of which is associated with an increase in the prevalence of hypertension and insufficient control of antihypertensive therapy, is a question for research. Compared with conventional OBP, the use of AOBP in conjunction with outpatient measurement leads to a reduction in the proportion and timing of initiation of treatment in patients with masked HTN, whose cardiovascular risk is similar to that of patients with stable HTN. However, the widespread implementation of AOBP is hindered by the high cost and lack of accumulated data. The review analyzes in detail the limitations and advantages of various types of BP measurement, as well as the potential of using AOBP in modern clinical and research practice.
Effectiveness of dual-task computerized cognitive training in the prevention of postoperative cognitive dysfunction in coronary bypass surgery
Authors: Trubnikova O. A. , Tarasova I. V. , Kukhareva I. N. , Temnikova T. B. , Sosnina A. S. , Syrova I. D. , Kupriyanova D. S. , Barbarash O. I.
Published: September 2022

Aim. To evaluate the effectiveness of dual-task computerized cognitive training (CCT) in the prevention of postoperative cognitive dysfunction in patients after on-pump coronary artery bypass grafting (CABG).

Material and methods. This cohort prospective study included 68 patients (median age, 64 years [54; 69]) admitted for elective on-pump CABG. In addition to the standard preoperative examination, all patients underwent advanced neuropsychological and neurophysiological examination. Starting from 3-4 days of the postoperative period, all patients underwent dual-task CCT.

Results. After 8-10 days, early postoperative cognitive dysfunction was observed in 37 (54,4%) patients from CCT group, while in patients without training in 69,3% of cases (n=79). The best results of cognitive functioning were achieved in neurodynamics and short-term memory. In addition, in patients who completed the training course, a postoperative increase in the frontooccipital gradient of theta rhythm was observed.

Conclusion. Neuropsychological and neurophysiological assessment have demonstrated the limited effectiveness of a short-term dual task CCT using in the prevention of early postoperative cognitive dysfunction in patients after on-pump CABG. The dual task method can be an additional preventive intervention in the development of a personalized approach to cognitive rehabilitation therapy in cardiac surgery patients.
Efficacy and safety of various antithrombotic regimens after left atrial appendage occlusion
Authors: Pevsner D. V. , Rytova Yu. K. , Merkulova I. , Merkulov E. V.
Published: September 2022

Aim. To evaluate the efficacy and safety of various antithrombotic regimens after left atrial appendage occlusion (LAAO) in real clinical practice.

Material and methods. This prospective observational study included 90 patients with nonvalvular atrial fibrillation and a high risk of ischemic stroke/systemic embolism who underwent endovascular LAAO using the Watchman device. The primary endpoint was the cumulative incidence of ischemic stroke/transient ischemic attack/systemic embolism, major and clinically relevant bleeding according to the Global Anticoagulant Registry in the Field-Atrial Fibrillation (GARFIELD) criteria, and all-cause mortality.

Results. Patients were divided into subgroups depending on the antithrombotic therapy carried out after LAAO: 1) direct oral anticoagulants (DOACs) ± antiplatelet agents; 2) warfarin ± antiplatelet agents; 3) dual antiplatelet therapy (aspirin + clopidogrel). Multivariate analysis showed a trend toward a lower incidence of the primary endpoint in the DOAC group compared with both warfarin (hazard ratio, 8,49; 95% confidence interval: 2,0-36,15; p=0,004) and antiplatelet agents (hazard ratio, 4,34; 95% confidence interval: 1,08-17,36; p=0,038). At the same time, there were no significant differences in the prevalence of primary endpoint between the warfarin and antiplatelet groups. There was no relationship between device-related thrombosis and postoperative antithrombotic regimen.

Conclusion. Endovascular LAAO is an effective and safe alternative to anticoagulant therapy. The present real-world evidence study revealed that the administration of DOACs after LAAO is associated with a greater efficacy and safety profile compared to warfarin and dual antiplatelet therapy.
Lipid-lowering therapy: modern possibilities and real clinical practice
Authors: Blokhina A. V. , Ershova A. I. , Meshkov A. N. , Akhmedzhanov N. M. , Ivanova A. A. , Guseinova K. A. , Smetnev S. A. , Litinskaya O. A. , Boytsov S. A. , Drapkina A. M.
Published: September 2022

Aim. To monitor the scope and effectiveness of lipid-lowering therapy (LLT) in the out- and inpatient settings among people hospitalized at the National Medical Research Center for Therapy and Preventive Medicine.

Material and methods. Retrospective analysis of randomly selected case records for April-May 2012, 2015 and 2022 (n=658).

Results. From 2012 to 2022, the proportion of outpatients taking statins increased as follows: from 28,8 to 60,4% (from 22,2 to 73,3% for high cardiovascular risk (CVR) and from 34,8 to 91,7% for very high CVR). Patients with very high CVR were significantly more likely to be prescribed high-intensity statin therapy (from 3,8 to 45,8%). Inpatients with high CVR were prescribed statins less often (74,3%) than patients with very high CVR (93,6%). In 2022, compared to 2015, the proportion of inpatients who received combined LLT increased as follows — 8,9 vs 0,5% (p< 0,001). Target low-density lipoprotein cholesterol <1,4 mmol/l in 2022 was achieved in 18,2 and 13,6% of outpatients with high and very high CVR, respectively.

Conclusion. Despite increase in the frequency of prescribing and the intensity of statin therapy, by 2022 there remains a large proportion of patients with high and very high CVR who do not receive adequate LLT, which allows them to achieve the target low-density lipoprotein cholesterol. It is important to note that modern LLT provides great opportunities for the implementation of clinical guidelines in practice.
MERCOSUR in trade policy clusters: challenges and prospects
Authors: KOVAL ALEXANDRA GENNADYEVNA , ANDRIANOVA EKATERINA KONSTANTINOVNA
Published: September 2022

The sharp increase in the number of FTAs puts customs unions in an ambiguous situation questioning their effectiveness. In this view, MERCOSUR could attract special attention as it seems to support the intention to revive integration within the block after a long period of stagnation. This paper identifies asymmetries and similarities in the member states’ trade policy and presents a new perspective on the regional integration by means of cluster analysis. The results of the study provide the answer to the question of whether MERCOSUR countries have common trade patterns and can act as a single block in the international trade.
Centro Acadêmico da Escola de Enfermagem de Ribeirão Preto: 1953-1954
Authors: Menegucci Tainá da Silva , Luchesi Luciana Barizon , Sousa Tatiana de Oliveira , Amorim Wellington Mendonça de , Marcussi Elaine , Silva Gilberto Tadeu Reis da
Published: September 2022

Resumo Objetivo analisar o início do movimento estudantil da Escola de Enfermagem de Ribeirão Preto, mediante a criação do Centro Acadêmico da Escola de Enfermagem de Ribeirão Preto, órgão representativo do segmento estudantil, e as ações desenvolvidas durante a primeira gestão. Método estudo de perspectiva histórica, com abordagem na micro-história e análise documental para tratamento das fontes, e delimitação temporal de 1953 a 1954. Resultados constatou-se a criação em 17 de dezembro de 1953. No período investigado, a entidade promoveu atividades de lazer e esportivas, ações para recrutamento e melhor visibilidade da escola, comunicação com outros centros acadêmicos, gestão de finanças, e demonstrou preocupação com questões políticas, estudantis e sociais. Considerações finais e implicações para a prática a triangulação de fontes e literatura de aderência corroboram vários assuntos documentados nas atas da primeira gestão, e revelam parte da história do movimento estudantil de enfermagem, na década de 1950, e da própria Escola de Enfermagem de Ribeirão Preto.
Graph Neural Network to Dilute Outliers for Refactoring Monolith Application
Authors: Desai Utkarsh , Bandyopadhyay Sambaran , Tamilselvam Srikanth
Published: September 2022

Microservices are becoming the defacto design choice for software architecture. It involves partitioning the software components into finer modules such that the development can happen independently. It also provides natural benefits when deployed on the cloud since resources can be allocated dynamically to necessary components based on demand. Therefore, enterprises as part of their journey to cloud, are increasingly looking to refactor their monolith application into one or more candidate microservices; wherein each service contains a group of software entities (e.g., classes) that are responsible for a common functionality. Graphs are a natural choice to represent a software system. Each software entity can be represented as nodes and its dependencies with other entities as links. Therefore, this problem of refactoring can be viewed as a graph based clustering task. In this work, we propose a novel method to adapt the recent advancements in graph neural networks in the context of code to better understand the software and apply them in the clustering task. In that process, we also identify the outliers in the graph which can be directly mapped to top refactor candidates in the software. Our solution is able to improve state-of-the-art performance compared to works from both software engineering and existing graph representation based techniques.
When Hashing Met Matching: Efficient Spatio-Temporal Search for Ridesharing
Authors: Dutta Chinmoy
Published: September 2022

Shared on-demand mobility holds immense potential for urban transportation. However, finding ride matches in real-time at urban scale is a very difficult combinatorial optimization problem and mostly heuristic approaches are applied. In this work, we introduce a principled approach to this combinatorial problem. Our approach proceeds by constructing suitable representations for rides and driver routes capturing their essential spatio-temporal aspects in an appropriate vector space, and defining a similarity metric in this space that expresses matching utility. This then lets us mathematically model the problem of finding ride matches as that of Near Neighbor Search (NNS). Exploiting this modeling, we devise a novel spatio-temporal search algorithm for finding ride matches based on the theory of Locality Sensitive Hashing (LSH). Apart from being highly efficient, our algorithm enjoys several practically useful properties and extension possibilities. Experiments with large real-world datasets show that our algorithm consistently outperforms state-of-the-art heuristic methods thereby proving its practical applicability.
The Causal Learning of Retail Delinquency
Authors: Huang Yiyan , Leung Cheuk Hang , Yan Xing , Wu Qi , Peng Nanbo , Wang Dongdong , Huang Zhixiang
Published: September 2022

This paper focuses on the expected difference in borrower's repayment when there is a change in the lender's credit decisions. Classical estimators overlook the confounding effects and hence the estimation error can be magnificent. As such, we propose another approach to construct the estimators such that the error can be greatly reduced. The proposed estimators are shown to be unbiased, consistent, and robust through a combination of theoretical analysis and numerical testing. Moreover, we compare the power of estimating the causal quantities between the classical estimators and the proposed estimators. The comparison is tested across a wide range of models, including linear regression models, tree-based models, and neural network-based models, under different simulated datasets that exhibit different levels of causality, different degrees of nonlinearity, and different distributional properties. Most importantly, we apply our approaches to a large observational dataset provided by a global technology firm that operates in both the e-commerce and the lending business. We find that the relative reduction of estimation error is strikingly substantial if the causal effects are accounted for correctly.
Who You Would Like to Share With? A Study of Share Recommendation in Social E-commerce
Authors: Ji Houye , Zhu Junxiong , Wang Xiao , Shi Chuan , Wang Bai , Tan Xiaoye , Li Yanghua , He Shaojian
Published: September 2022

The prosperous development of social e-commerce has spawned diverse recommendation demands, and accompanied a new recommendation paradigm, share recommendation. Signiﬁcantly different from traditional binary recommendations (e.g., item recommendation and friend recommendation), share recommendation models ternary interactions among 〈 User, Item, Friend 〉 , which aims to recommend a most likely friend to a user who would like to share a speciﬁc item, progressively becoming an indispensable service in social e-commerce. Seamlessly integrating the social relations and purchase behaviours, share recommendation improves user stickiness and monetizes the user inﬂuence, meanwhile encountering three unique challenges: rich heterogeneous information, complex ternary interaction, and asymmetric share action. In this paper, we ﬁrst study the share recommendation problem and propose a heterogeneous graph neural network based share recommendation model, called HGSRec. Speciﬁcally, HGSRec delicately designs a tripartite heterogeneous GNNs to describe the multifold characteristics of users and items, and then dynamically fuses them via capturing potential ternary dependency with a dual co-attention mechanism, followed by a transitive triplet representation to depict the asymmetry of share action and predict whether share action happens. Ofﬂine experiments demonstrate the superiority of the proposed HGSRec with signiﬁcant improvements (11.7%-14.5%) over the state-of-the-arts, and online A/B testing on Taobao platform further demonstrates the high industrial practicability and stability of HGSRec.
RevMan: Revenue-aware Multi-task Online Insurance Recommendation
Authors: Li Yu , Zhang Yi , Gan Lu , Hong Gengwei , Zhou Zimu , Li Qiang
Published: September 2022

Online insurance is a new type of e-commerce with exponential growth.
An effective recommendation model that maximizes the total revenue of insurance products listed in multiple customized sales scenarios is crucial for the success of online insurance business.
Prior recommendation models are ineffective because they fail to characterize the complex relatedness of insurance products in multiple sales scenarios and maximize the overall conversion rate rather than the total revenue.
Even worse, it is impractical to collect training data online for total revenue maximization due to the business logic of online insurance.
We propose RevMan, a Revenue-aware Multi-task Network for online insurance recommendation.
RevMan adopts an adaptive attention mechanism to allow effective feature sharing among complex insurance products and sales scenarios.
It also designs an efficient offline learning mechanism to learn the rank that maximizes the expected total revenue, by reusing training data and model for conversion rate maximization.
Extensive offline and online evaluations show that RevMan outperforms the state-of-the-art recommendation systems for e-commerce.