bluuebunny/crossref_metadata_2025 huggingface dataset:
Observation of Hyperpositive Non-Linear Effect in Asymmetric Organozinc Alkylation in Presence of N-Pyrrolidinyl Norephedrine
Authors: Thierry Thibault , Geiger Yannick , Bellemin-Laponnaz Stéphane
Published: June 2022

Phenomena related to asymmetric amplification are considered to be key to understanding the emergence of homochirality in life. In asymmetric catalysis, theoretical and experimental models have been studied to understand such chiral amplification, in particular based on non-linear effects. Three decades after the theoretical demonstration that a chiral catalyst, when not enantiopure, could be more enantioselective than its enantiopure counterpart, we show here a new experimental example of nonlinear hyperpositive effect. We report here our investigations in the enantioselective zinc-catalyzed alkylation of benzaldehyde with N-pyrrolidinyl norephedrine as partially resolved chiral ligand, which shows a significant hyperpositive non-linear effect. A study of the underlying mechanism was conducted, which allows us to confirm a mechanism that implies a monomeric and a dimeric complex both catalyzing the reaction at a steady state and giving different enantioselectivities.
Myelosuppression Rates with Administration of Nafcillin with and without Rifampin in Pediatric Patients
Authors: Kuriakose Jolly , Kaplansky Michelle , Sierra Caroline M.
Published: June 2022

Myelosuppression, a potential adverse reaction of nafcillin and rifampin, is rarely documented in pediatric populations. The objective of this study is to describe the incidence of myelosuppression in pediatric patients receiving nafcillin or a combination of nafcillin and rifampin therapy. This retrospective chart review identified patients who received nafcillin alone or in combination with rifampin. The primary endpoint was the incidence of myelosuppression as a composite outcome. The secondary endpoints were the incidence of thrombocytopenia, anemia, and neutropenia individually. Of 199 patients in this study, 98 received nafcillin alone. There was no difference in the rates of myelosuppression between patients receiving nafcillin alone or in combination with rifampin (p = 0.0763), and the use of combination therapy did not affect the development of neutropenia (p = 0.2764) or thrombocytopenia (p = 0.1672). Patients receiving combination therapy were more likely to be anemic at the end of therapy (odds ratio [OR] = 2.333, 95% confidence interval [CI] 0.999, 5.446). Similarly, patients receiving longer durations of nafcillin were more likely to experience anemia (OR 1.774, 95% CI 1.382, 2.370) and neutropenia (OR 1.256, 95% CI 1.024, 1.540). The use of nafcillin does not significantly affect myelosuppression in pediatric patients, although longer durations of therapy may result in increased rates of neutropenia and anemia. Combination therapy with rifampin may result in increased rates of neutropenia.
Cardiovascular Disease Diagnosis from DXA Scan and Retinal Images Using Deep Learning
Authors: Al-Absi Hamada R. H. , Islam Mohammad Tariqul , Refaee Mahmoud Ahmed , Chowdhury Muhammad E. H. , Alam Tanvir
Published: June 2022

Cardiovascular diseases (CVD) are the leading cause of death worldwide. People affected by CVDs may go undiagnosed until the occurrence of a serious heart failure event such as stroke, heart attack, and myocardial infraction. In Qatar, there is a lack of studies focusing on CVD diagnosis based on non-invasive methods such as retinal image or dual-energy X-ray absorptiometry (DXA). In this study, we aimed at diagnosing CVD using a novel approach integrating information from retinal images and DXA data. We considered an adult Qatari cohort of 500 participants from Qatar Biobank (QBB) with an equal number of participants from the CVD and the control groups. We designed a case-control study with a novel multi-modal (combining data from multiple modalities—DXA and retinal images)—to propose a deep learning (DL)-based technique to distinguish the CVD group from the control group. Uni-modal models based on retinal images and DXA data achieved 75.6% and 77.4% accuracy, respectively. The multi-modal model showed an improved accuracy of 78.3% in classifying CVD group and the control group. We used gradient class activation map (GradCAM) to highlight the areas of interest in the retinal images that influenced the decisions of the proposed DL model most. It was observed that the model focused mostly on the centre of the retinal images where signs of CVD such as hemorrhages were present. This indicates that our model can identify and make use of certain prognosis markers for hypertension and ischemic heart disease. From DXA data, we found higher values for bone mineral density, fat content, muscle mass and bone area across majority of the body parts in CVD group compared to the control group indicating better bone health in the Qatari CVD cohort. This seminal method based on DXA scans and retinal images demonstrate major potentials for the early detection of CVD in a fast and relatively non-invasive manner.
Path-Planning System for Radioisotope Identification Devices Using 4π Gamma Imaging Based on Random Forest Analysis
Authors: Tomita Hideki , Hara Shintaro , Mukai Atsushi , Yamagishi Keita , Ebi Hidetake , Shimazoe Kenji , Tamura Yusuke , Woo Hanwool , Takahashi Hiroyuki , Asama Hajime , Ishida Fumihiko , Takada Eiji , Kawarabayashi Jun , Tanabe Kosuke , Kamada Kei
Published: June 2022

We developed a path-planning system for radiation source identification devices using 4π gamma imaging. The estimated source location and activity were calculated by an integrated simulation model by using 4π gamma images at multiple measurement positions. Using these calculated values, a prediction model to estimate the probability of identification at the next measurement position was created by via random forest analysis. The path-planning system based on the prediction model was verified by integrated simulation and experiment for a 137Cs point source. The results showed that 137Cs point sources were identified using the few measurement positions suggested by the path-planning system.
Brain Implantable End-Fire Antenna with Enhanced Gain and Bandwidth
Authors: Sapari Lisa , Hout Samnang , Chung Jae-Young
Published: June 2022

An end-fire radiating implantable antenna with a small footprint and broadband operation at the frequency range of 3–5 GHz is proposed for high-data-rate wireless communication in a brain–machine interface. The proposed Vivaldi antenna was implanted vertically along the height of the skull to avoid deformation in the radiation pattern and to compensate for a gain–loss caused by surrounding lossy brain tissues. It was shown that the vertically implanted end-fire antenna had a 3 dB higher antenna gain than a horizontally implanted broadside radiating antenna discussed in recent literature. Additionally, comb-shaped slot arrays imprinted on the Vivaldi antenna lowered the resonant frequency by approximately 2 GHz and improved the antenna gain by more than 2 dB compared to an ordinary Vivaldi antenna. An antenna prototype was fabricated and then tested for verification inside a seven-layered semi-solid brain phantom where each layer had similar electromagnetic material properties as actual brain tissues. The measured data showed that the antenna radiated toward the end-fire direction with an average gain of −15.7 dBi under the frequency of interest, 3–5 GHz. A link budget analysis shows that reliable wireless communication can be achieved over a distance of 10.8 cm despite the electromagnetically harsh environment.
Potent Blockchain-Enabled Socket RPC Internet of Healthcare Things (IoHT) Framework for Medical Enterprises
Authors: Lakhan Abdullah , Morten Groenli Tor , Majumdar Arnab , Khuwuthyakorn Pattaraporn , Hussain Khoso Fida , Thinnukool Orawit
Published: June 2022

Present-day intelligent healthcare applications offer digital healthcare services to users in a distributed manner. The Internet of Healthcare Things (IoHT) is the mechanism of the Internet of Things (IoT) found in different healthcare applications, with devices that are attached to external fog cloud networks. Using different mobile applications connecting to cloud computing, the applications of the IoHT are remote healthcare monitoring systems, high blood pressure monitoring, online medical counseling, and others. These applications are designed based on a client–server architecture based on various standards such as the common object request broker (CORBA), a service-oriented architecture (SOA), remote method invocation (RMI), and others. However, these applications do not directly support the many healthcare nodes and blockchain technology in the current standard. Thus, this study devises a potent blockchain-enabled socket RPC IoHT framework for medical enterprises (e.g., healthcare applications). The goal is to minimize service costs, blockchain security costs, and data storage costs in distributed mobile cloud networks. Simulation results show that the proposed blockchain-enabled socket RPC minimized the service cost by 40%, the blockchain cost by 49%, and the storage cost by 23% for healthcare applications.
High-Accuracy 3D Gaze Estimation with Efficient Recalibration for Head-Mounted Gaze Tracking Systems
Authors: Xia Yang , Liang Jiejunyi , Li Quanlin , Xin Peiyang , Zhang Ning
Published: June 2022

The problem of 3D gaze estimation can be viewed as inferring the visual axes from eye images. It remains a challenge especially for the head-mounted gaze tracker (HMGT) with a simple camera setup due to the complexity of the human visual system. Although the mainstream regression-based methods could establish the mapping relationship between eye image features and the gaze point to calculate the visual axes, it may lead to inadequate fitting performance and appreciable extrapolation errors. Moreover, regression-based methods suffer from a degraded user experience because of the increased burden in recalibration procedures when slippage occurs between HMGT and head. To address these issues, a high-accuracy 3D gaze estimation method along with an efficient recalibration approach is proposed with head pose tracking in this paper. The two key parameters, eyeball center and camera optical center, are estimated in head frame with geometry-based method, so that a mapping relationship between two direction features is proposed to calculate the direction of the visual axis. As the direction features are formulated with the accurately estimated parameters, the complexity of mapping relationship could be reduced and a better fitting performance can be achieved. To prevent the noticeable extrapolation errors, direction features with uniform angular intervals for fitting the mapping are retrieved over human’s field of view. Additionally, an efficient single-point recalibration method is proposed with an updated eyeball coordinate system, which reduces the burden of calibration procedures significantly. Our experiment results show that the calibration and recalibration methods could improve the gaze estimation accuracy by 35 percent (from a mean error of 2.00 degrees to 1.31 degrees) and 30 percent (from a mean error of 2.00 degrees to 1.41 degrees), respectively, compared with the state-of-the-art methods.
Research on Multi-View 3D Reconstruction Technology Based on SFM
Authors: Gao Lei , Zhao Yingbao , Han Jingchang , Liu Huixian
Published: June 2022

Multi-view 3D reconstruction technology is used to restore a 3D model of practical value or required objects from a group of images. This paper designs and implements a set of multi-view 3D reconstruction technology, adopts the fusion method of SIFT and SURF feature-point extraction results, increases the number of feature points, adds proportional constraints to improve the robustness of feature-point matching, and uses RANSAC to eliminate false matching. In the sparse reconstruction stage, the traditional incremental SFM algorithm takes a long time, but the accuracy is high; the traditional global SFM algorithm is fast, but its accuracy is low; aiming at the disadvantages of traditional SFM algorithm, this paper proposes a hybrid SFM algorithm, which avoids the problem of the long time consumption of incremental SFM and the problem of the low precision and poor robustness of global SFM; finally, the MVS algorithm of depth-map fusion is used to complete the dense reconstruction of objects, and the related algorithms are used to complete the surface reconstruction, which makes the reconstruction model more realistic.
A Low-Complexity Algorithm for a Reinforcement Learning-Based Channel Estimator for MIMO Systems
Authors: Kim Tae-Kyoung , Min Moonsik
Published: June 2022

This paper proposes a low-complexity algorithm for a reinforcement learning-based channel estimator for multiple-input multiple-output systems. The proposed channel estimator utilizes detected symbols to reduce the channel estimation error. However, the detected data symbols may include errors at the receiver owing to the characteristics of the wireless channels. Thus, the detected data symbols are selectively used as additional pilot symbols. To this end, a Markov decision process (MDP) problem is defined to optimize the selection of the detected data symbols. Subsequently, a reinforcement learning algorithm is developed to solve the MDP problem with computational efficiency. The developed algorithm derives the optimal policy in a closed form by introducing backup samples and data subblocks, to reduce latency and complexity. Simulations are conducted, and the results show that the proposed channel estimator significantly reduces the minimum-mean square error of the channel estimates, thus improving the block error rate compared to the conventional channel estimation.
Utilizing Piezo Acoustic Sensors for the Identification of Surface Roughness and Textures
Authors: Kurşun Kayra , Güven Fatih , Ersoy Hakan
Published: June 2022

This study examines surface roughness measurements via piezo acoustic disks and appropriate signal processing. Surface roughness is one characteristic of surface texture that can have various irregularities inherent to manufacturing methods. The surface roughness parameters and corresponding surface profiles are acquired by a stylus profilometer. Simultaneously, elastic waves propagated along metal surfaces caused by the friction of a diamond tip are obtained in the form of raw sound via piezo acoustic disks. Frequency spectrum analysis showed apparent correlations between the traditionally obtained measurement parameters and the piezo acoustic measurement data. Thus, it is concluded that acoustic friction measurement shows promising results as a novel measurement method for the surface roughness states of certain materials.
Accuracy Improvement of Vehicle Recognition by Using Smart Device Sensors
Authors: Pias Tanmoy Sarkar , Eisenberg David , Fresneda Fernandez Jorge
Published: June 2022

This paper explores the utilization of smart device sensors for the purpose of vehicle recognition. Currently a ubiquitous aspect of people’s lives, smart devices can conveniently record details about walking, biking, jogging, and stepping, including physiological data, via often built-in phone activity recognition processes. This paper examines research on intelligent transportation systems to uncover how smart device sensor data may be used for vehicle recognition research, and fit within its growing body of literature. Here, we use the accelerometer and gyroscope, which can be commonly found in a smart phone, to detect the class of a vehicle. We collected data from cars, buses, trains, and bikes using a smartphone, and we designed a 1D CNN model leveraging the residual connection for vehicle recognition. The model achieved more than 98% accuracy in prediction. Moreover, we also provide future research directions based on our study.
Investigation of Formulations on Pyrene-Based Anodized-Aluminum Pressure-Sensitive Paints for Supersonic Phenomena
Authors: Yomo Kazuma , Ikami Tsubasa , Fujita Koji , Nagai Hiroki
Published: June 2022

Pressure-sensitive paint (PSP) is an optical sensor that can measure global pressure distribution by using the oxygen quenching of dye molecules. In particular, anodized aluminum pressure-sensitive paint (AA-PSP) exhibits a fast time response. AA-PSP has been used in unsteady measurements at supersonic and transonic speeds, such as on the surface of a transonic free-flying sphere or the wall of a shock tube when the shock wave passes. To capture such ultrafast phenomena, the frame rate of the camera must be sufficiently fast, and the exposure time must be sufficiently short. Therefore, it is desirable that the AA-PSP exhibits bright luminescence, high-pressure sensitivity, and fast response time. This study focused on pyrene-based AA-PSPs and investigated their characteristics, such as luminescence intensity and pressure sensitivity, at different anodization times, dipping solvents, and dipping concentrations. Furthermore, a time-response test using a shock tube was conducted on the brightest AA-PSP. Consequently, the time for a 90% rise in pressure was 2.2 μs.
Towards Tomography-Based Real-Time Control of Multiphase Flows: A Proof of Concept in Inline Fluid Separation
Authors: Garcia Matheus M. , Sattar Muhammad A. , Atmani Hanane , Legendre Dominique , Babout Laurent , Schleicher Eckhard , Hampel Uwe , Portela Luis M.
Published: June 2022

The performance of multiphase flow processes is often determined by the distribution of phases inside the equipment. However, controllers in the field are typically implemented based on flow variables, which are simpler to measure, but indirectly connected to performance (e.g., pressure). Tomography has been used in the study of the distribution of phases of multiphase flows for decades, but only recently, the temporal resolution of the technique was sufficient for real-time reconstructions of the flow. Due to the strong connection between the performance and distribution of phases, it is expected that the introduction of tomography to the real-time control of multiphase flows will lead to substantial improvements in the system performance in relation to the current controllers in the field. This paper uses a gas–liquid inline swirl separator to analyze the possibilities and limitations of tomography-based real-time control of multiphase flow processes. Experiments were performed in the separator using a wire-mesh sensor (WMS) and a high-speed camera to show that multiphase flows have two components in their dynamics: one intrinsic to its nonlinear physics, occurring independent of external process disturbances, and one due to process disturbances (e.g., changes in the flow rates of the installation). Moreover, it is shown that the intrinsic dynamics propagate from upstream to inside the separator and can be used in predictive and feedforward control strategies. In addition to the WMS experiments, a proportional–integral feedback controller based on electrical resistance tomography (ERT) was implemented in the separator, with successful results in relation to the control of the distribution of phases and impact on the performance of the process: the capture of gas was increased from 76% to 93% of the total gas with the tomography-based controller. The results obtained with the inline swirl separator are extended in the perspective of the tomography-based control of quasi-1D multiphase flows.
Design and Development of a Battery State of Health Estimation Model for Efficient Battery Monitoring Systems
Authors: Choi Hyoung Sun , Choi Jin Woo , Whangbo Taeg Keun
Published: June 2022

An uninterruptible power supply (UPS) is a device that can continuously supply power for a certain period when a power outage occurs. UPS devices are used by national institutions, hospitals, and servers, and are located in numerous public places that require continuous power. However, maintaining such devices in good condition requires periodic maintenance at specific time points. Efficient monitoring can currently be achieved using a battery management system (BMS). However, most BMSs are administrator-centered. If the administrator is not careful, it becomes difficult to accurately grasp the data trend of each battery cell, which in turn can lead to a leakage or heat explosion of the cell. In this study, a deep-learning-based intelligent model that can predict battery life, known as the state of health (SoH), is investigated for the efficient operation of a BMS applied to a lithium-based UPS device.
Fast Determination of Satellite-to-Moon Visibility Using an Adaptive Interpolation Method Based on Vertex Protection
Authors: Li Xiaowan , Cheng Fang , Shen Pengli , Liu Dongliang
Published: June 2022

Fast determination of satellite visibility with respect to a target area is important for satellite navigation and positioning. In this paper, we propose an adaptive interpolation algorithm based on vertex protection to solve the satellite visibility period problem more accurately and quickly, where “vertex” refers to the local extremum point. The algorithm can avoid the error in the visibility period calculation caused by skimming the vertices when fitting the multi-hump visibility function under certain fitting accuracy requirements with the traditional adaptive interpolation method. The algorithm does not need to construct a cubic polynomial in each subinterval to determine whether the satellite is visible or not; it only constructs a cubic polynomial to solve the problem if the visibility function of that subinterval is judged to have a solution from the existence theorem of zero points, which can improve the computational efficiency. For the lunar navigation problem, a solution to satellite–Moon visibility calculations based on a vertex-protected adaptive interpolation is given, and the experimental results show that the computation time of the algorithm can be reduced by approximately 98% compared with the brute force method and by approximately 30% compared with the traditional adaptive interpolation algorithm.
A Versatile Model for Describing Energy Harvesting Characteristics of Composite-Laminated Piezoelectric Cantilever Patches
Authors: Xue Xiaomin , Sun Qing , Ma Qiangli , Wang Jiajia
Published: June 2022

Vibration-based energy harvesters consisting of a laminated piezoelectric cantilever have recently attracted attention for their potential applications. Current studies have mostly focused on the harvesting capacity of piezoelectric harvesters under various conditions, and have given less attention to the electromechanical characteristics that are, in fact, crucial to a deeper understanding of the intrinsic mechanism of piezoelectric harvesting. In addition, the current related models have mostly been suitable for harvesting systems with very specific parameters and have not been applicable if the parameters were vague or unknown. Drawing on the available background information, in this study, we conduct research on a vibration-based cantilever beam of composite-laminated piezoelectric patches through an experimental study of its characteristics as well as a modeling study of energy harvesting. In the experimental study, we set out to investigate the harvesting capacity of the system, as well as the electromechanical (voltage/current-strain and power-strain relationships) characteristics of the cantilever harvester. In addition, we summarize some pivotal rules with regard to several design variables, which provide configuration design suggestions for maximizing energy conversion of this type of harvesting system. In the modeling study, we propose a coupled electromechanical model with a set of updated parameters by using an optimization program. The preceding experimental data are used to verify the superiority of the model for accurately predicting the amount of harvested energy, while effectively imitating the characteristics of a cantilever harvesters. The model also has merit since it is suitable for diversified harvesters with vague or even unknown parameters, which cannot be dealt with by using traditional modeling methods. Overall, the experimental study provides information on a comprehensive way to enhance the harvesting capacity of piezoelectric cantilever transducers, and the modeling study provides a wide scope of applications for cantilever harvesters even if precise information is lacking.
Cost Estimation Process of Green Energy Production and Consumption Using Probability Learning Approach
Authors: Xiao Jian , Hou Wei
Published: June 2022

With electric vehicle (EV) charging, green energy production costs could be reduced, and smart grid (SG) reliability improved. Nevertheless, the vast number of EVs could adversely affect the stability of the voltage and cost of operation. The present study designs a new security-based system based on a new EV participation charging method for a decentralized blockchain-enabled SG system. It is aimed at minimizing the level of power alternation in the electrical network and the total charging costs of EVs as mobile systems. In the first step, the power alternation level issue of the SG is formulated based on the capacity of EV batteries, the rate of charging, and EV users’ charging behavior. Next, a new adaptive blockchain-based EV participation (AdBEV) method is proposed, using the Iceberg order execution algorithm for improving EV discharging and charging schedules. Simulated outcomes demonstrate that the suggested method is superior to the genetic algorithm method when it comes to reducing power fluctuation levels and total charging cost.
Nonlinear Analysis and Its Applications in Symmetry
Authors: Zaslavski Alexander
Published: June 2022

This Special Issue of Symmetry is devoted to recent advances in the nonlinear analysis and its applications [...]
Point Prevalence Studies Are Necessary as First Steps in Studying the Epidemiology of Viruses and Other Pathogens Transmitted by Arthropods
Authors: Calisher Charles H.
Published: June 2022

Studies of the epidemiology of arthropod-borne viruses are based on understanding whether a given virus is found in a particular location or locations, how prevalent the virus is in that area, which vertebrate hosts serve as reservoirs of the virus, the relationship between the size of the populations of these reservoirs and the prevalence of the virus and, of course, whether the virus causes human, livestock, or wildlife diseases, as well as other characteristics. However, seasonal conditions fluctuate, annual conditions fluctuate, human impacts alter the environment, and the habitat and ecosystems naturally change. Because these parameters provide a more encompassing view of the natural history of a virus, it is important to recognize that point prevalence studies comprise only a single view of the situation and that longitudinal studies are required to obtain a more complete and useful understanding of the natural history of the virus. This paper provides details as to whether and how to conduct such studies.
Frequency of the Statistical Methods and Relation with Acceptance Period in Archives of Iranian Medicine Articles: A Review from 2015–2019
Authors: Madadizadeh Farzan , Bahariniya Sajjad
Published: June 2022

Background: Statistical methods (SM) are a ubiquitous tool in research. This study aimed to review SM used in original article published in the Archives of Iranian Medicine (AIM) and assess their effect on article acceptance period. Methods: The original articles published in the period 2015–2019 from volumes 18 to 22 and issues 1 to 12 of the AIM were reviewed and six items such as SM, study design, statistical population, sample size, software and acceptance period were extracted. Mean (SD), frequency (percentage) and multiple response analysis (MRA) were used for description. The Kruskal-Wallis test and Spearman correlation coefficient were used for data analysis in SPSS 26 with significance level at 5%. Results: During the study period, 423 original articles were reviewed. The statistical population in most of them was patients (38.8% and 164 articles), and most studies (51.5% and 218 articles) had a sample size of less than 500 people. The study design in most of the articles was analytical-observational (55.1% and 233 articles), and 79.7% (337 articles) used SPSS for data analysis. The median (IQR) acceptance period was 194 (134.25). MRA results showed that the highest rate of use of SM was related to descriptive statistics (277 articles, 30.3%) and Chi square test (130 articles, 14.2%). In the last two years, the acceptance period had a declining trend. There was no significant relation between mentioned variables and acceptance period (P>0.05). Conclusion: Contrary to the researchers’ misconceptions, the acceptance period was not affected by SM, study design, statistical population, sample size, or type of software.
Self-perceived health and functional status of older people: Telephone-based lifestyle survey of older adults in Tehran province
Authors: Sadeghipour Rousari Masoumeh , Payab Moloud , Keyvanloo shahrestanaki Sahar , Ebrahimpur Mahbube , Mehrdad Neda , Naghavi Alhosseini Solmaz Sadat , Bidmeshgipour Faranak , Adibi Hossein , Safari Astaraei Amirali , Hosseini Raziye Sadat , Larijani Bagher , sharifi farshad
Published: June 2022

Background: The prevalence study of health conditions can help policy makers to document base policymaking. This study aimed to reveal the health status, including the prevalence of geriatric syndrome health conditions such as activity of daily livings, pain, and physical and mental health of older adults in Tehran province. Methods: This cross-sectional study was a telephone survey with older people ≥60 years old using a systematic random sampling of telephone numbers in Tehran province. The Persian version of the Katz’ activity of daily living (ADL) and the Lawton’s instrumental activity of daily living (IADL) questionnaires were used to evaluate the functional status. Pain, history of chronic diseases, continence, hospital admission, sensory problems, and self-perceived health (SPH) were asked by trained nurses or gerontologists thorough telephone interviews. Results: In this study, 1251 older adults with the mean age of 67.03±7.51 years have been recruited. About 64.50% (95% CI: 64.4-64.6) of them were totally independent according to ADL (female=60.02% and male=68.50%), and about 40.50% (95% CI: 40.4-40.5) were independent based on IADL domains (female=39.41% and male=41.80). The dependency rates in ADL increased with the aging of population. Joint pain was the most prevalent type of pains and near to 26.00% (95% CI: 64.4-64.6) of the participants suffered moderate joint pains. About 71.5% (95% CI: 71.4-71.5) of the participants were urinary continent (female=67.66% and male=76.06%), and 91.9% (95% CI: 91.9-92.0) had bowel control (female=91.47% and male=92.94%) and the prevalence of incontinence increased by advancing age. Only 26.70% (95% CI: 26.6-26.8) of the participants reported excellent and good levels of perceived health status (female=21.98% and male=31.48%) and about 26.2% (95% CI: 26.1-26.2) of them reported some degree of visual impairment. Conclusion: The results of the present study can provide a good view about the health profile of older adults, including pain, functional status, sphincter control, chronic diseases, sensory status, and SPH. Future studies should prioritize SPH as an important predictor of mortality rates.
Confluence of crises: COVID-19, "gassings", blood draws and the continued importance of community engagement in Zambia
Authors: Olsen Sara , Roh Esther J , Syakayuwa Tandwa , Chola Mumbi , Agbakwuru Chinedu , Stafford Kristen A , Stoebenau Kirsten , Dzekedzeke Kumbutso , Charurat Manhattan
Published: June 2022

Background: Nationally representative, household-based, health-related surveys are an invaluable source of health information, but face implementation challenges. In sub-Saharan Africa, these challenges are exacerbated when surveys include the collection of biological specimens. In this study, we describe the potential implementation challenges identified during field practice leading up to the 2020 Zambia Population-based HIV Impact Assessment (ZAMPHIA) survey, and explore the role of two crises on community mistrust of, and apprehension to, participate in the survey. Methods: Using focus group methodology to better understand the influence of crises on ZAMPHIA participation, we conducted 12 focus group discussions (FGDs) in five districts across two provinces. FGDs were conducted with three purposively sampled study groups: recognized household heads, community leaders, and young adults aged 18-24 years. We used reflexive thematic analysis to develop themes from across the FGDs. Results: We identified two key themes: the ever-present threat a stranger posed to the community is enhanced by crises, and endorsement of community awareness through sensitization can mitigate outsider challenges in medical research. Conclusion: We argue that these crises emphasized underlying mistrust that can only be addressed with substantial investment in community engagement efforts to build trust and partnership in medical research endeavors. Our findings underline the importance of prioritizing community engagement through substantial investment in varied and extensive approaches to sensitization to facilitate community engagement toward community acceptance of ZAMPHIA and similar studies.
"Internacionalismo cultural x nacionalismo cultural"
Authors: De Jesus HOIÇA Jaqueline , GUEDES Sandra , AREAS Patrícia
Published: June 2022

A repatriação se refere a transferência de bens culturais entre países frente a um contexto de reivindicação. As discussões sobre o tema partem de duas perspectivas: a do internacionalismo cultural e do nacionalismo cultural, abordadas aqui a partir do caso dos Mármores do Partenon, em disputa entre a Grécia e a Inglaterra. A partir de uma análise da bibliografia sobre o tema, objetiva-se evidenciar como a divergência entre tais narrativas determinam os impasses existentes no que se refere à repatriação de bens culturais como esses.
The legal regulation of capacity phases according to the law in force in Palestine
Authors: Hattab Muayad
Published: June 2022

The law in force in Palestine, which is based on the provisions of the Mecelle (Journal of Judicial Rules), does not specify in its codes a specific age of majority, which caused lack of legal clarity and judicial contradiction in Palestinian on when a person is eligible to from a legal contract, financial transactions, and legal obligations. While most legal scholars have linked the age of majority to sexual maturity, courts decisions have rather been inconstant on determining the issue, and failed to provide clear explanation or legal justification to when a person reach the legal capacity and the stage of rationality. Thus, this study will show the stages that a person undergoes until he reaches the age of majority, and the legal effects of each stage. It will also prove that, according to the law in force in Palestine, the age of majority and full legal capacity is when a person reaches the age of eighteen.

يعتبر استقرار التعاملات المدنية والتصرفات المالية من أهم مقومات الدول الحديثة، وتعتبر الأهلية من أهم ركائز صحة التصرف؛ حيث إنّ من لا يملك أهلية صحيحة لا يملك القدرة على إنشاء تلك التصرفات القانونية. إلا أن القانون المدني الساري في فلسطين والمعتمد على نصوص مجلة الأحكام العدلية، لم يذكر في نصوصه سنّاً معينا لكمال الأهلية، مما أدى الى عدم وضوح في المعاملات المالية والتصرفات المدنية، وكذلك تناقض في آراء الفقه والقضاء الفلسطيني. فبينما ذهب الفقه الى ربط سن الأهلية بالبلوغ، أي وصوله سن الخامسة عشرة، تناقضت الاحكام القضائية في قراراتها بين اعتباره 15 سنة تارة و18 سنة تارة اخرى، دون تعليل واضح أو تبرير قانوني سليم. من هنا تأتي اهمية هذا البحث في تبيان مفهوم ومراحل الأهلية، وتحديد سن كمال الأهلية في القانون المدني النافذ في فلسطين، بناءً على نصوص القانون والتفسيرات الفقهية والإسلامية لها. حيث سنبين في هذا البحث أن سن الرشد الذي اوردته المجلة، لا يتحقق إلا ببلوغ الانسان جسديا وعقليا معا، وأن كمال الأهلية لا يتم إلا بوصول الإنسان سن الثامنة عشرة.
Using the graded response model in estimating the psychometric properties of the career future anxiety scale among universities students in the Sultanate of Oman
Authors: Abu Shindi Yousef , Hamoud Mohamed Sheikh , Alrojaibi Yousef
Published: June 2022

The study aimed to use the graded response model in estimating the psychometric properties of the career future anxiety scale among university students in the Sultanate of Oman. The population of the study consisted of students from Sultan Qaboos and Nizwa Universities (n=21,360). A random cluster sample of 524 students was selected. The results of this study demonstrated estimations of item discrimination parameters and thresholds of the scale items. Additionally, the findings also indicated that the scale had highly accepted psychometric properties; namely that the scale’s construct validity was assessed by confirmatory factor analysis. In addition, the study obtained the suitable cut points for classifying categories of Omani college students with career future anxiety based on raw scores and abilities.

هدفت الدراسة إلى استخدام نموذج الاستجابة المتدرجة في تقدير الخصائص السيكومترية لمقياس قلق المستقبل المهني لدى طلبة الجامعات في سلطنة عمان. وتكون مجتمع الدراسة من طلبة جامعتي السلطان قابوس ونزوى (ن=21360)، حيث تم سحب عينة عنقودية حجمها 524 من طلبة الجامعتين. وخلصت نتائج الدراسة إلى قيم مقدرة لمعالم تمييز وعتبات فقرات المقياس، ودلالات صدق وثبات، كما توصلت أيضاً إلى بنية عاملية داخلية مناسبة للمقياس بالاعتماد على التحليل العاملي التوكيدي. إضافة إلى توصل الدراسة لدرجات القطع لتصنيف فئات مقياس قلق المستقبل المهني عند طلبة الجامعات في سلطنة عمان بالاعتماد على الدرجات الخام والقدرات.
Psychological well-being and its relationship to the level of aspiration among students of king Abdullah ii excellence schools’ students in Jordan
Authors: Samawi Fadi , Shaheen Hassan
Published: June 2022

The present study aimed at investigating the relationship between psychological well-being and the level of aspiration among the students of King Abdullah II for excellence in Salt city, Jordan. The study adopted the quantitative approach (Descriptive correlational). The sample of the study comprised 287 male and female students who were purposively recruited from the eighth, ninth and tenth grades. Both the psychological well-being and aspiration level scales were administered to the study participants. The results of the study revealed that there is a significant positive correlation between psychological well-being and level of aspiration among the students of King Abdullah II for excellence, and a high level of psychological well-being and aspiration. In addition, the results showed that there were statistically significant differences in the level of psychological well-being referred to gender variable in favor of females, and no statistically significant differences in the level of psychological well-being referred to grade variable. The study recommends ensuring that families and schools support children to achieve their aspiration by helping them overcome the obstacles they encounter while achieving their aspiration.

هدفت الدراسة التعرف على العلاقة بين السعادة النفسية ومستوى الطموح لدى طلبة مدارس الملك عبد الله الثاني للتميز في السلط / الأردن. وأجريت وفقا للمنهج الكمي (الوصفي الارتباطي)، وتكون أفراد الدراسة من طلبة الصفوف (الثامن والتاسع والعاشر)، والبالغ عددهم (287) طالب وطالبة، اختيروا بالطريقة القصدية، طبق عليهم مقياس السعادة النفسية، ومستوى الطموح. وأشارت نتائج الدراسة إلى وجود علاقة ارتباطيه موجبة بين السعادة النفسية ومستوى الطموح لدى طلبة مدارس الملك عبد الله الثاني للتميز، وأن السعادة النفسية ومستوى الطموح جاءت بدرجة مرتفعة، كما أظهرت النتائج وجود فروق ذات دلالة إحصائية في السعادة النفسية تعزى لمتغير الجنس ولصالح الإناث، وتبين عدم وجود فروق ذات دلالة إحصائية في درجة السعادة النفسية تعزى لمتغير الصف، وتوصي الدراسة العمل من قبل الأهل والمدرسة على دعم الأبناء في سبيل تحقيق طموحاتهم، من خلال مساعدتهم على تخطي ما يواجههم من معوقات في طريق تحقيق ذلك الطموح.
Association between Stress, Depression, Anxiety and Coping Styles among Malaysian University Students during Covid-19 Outbreak
Authors: Das Priscilla , Wong Rebecca SY , Kumar Saravana
Published: June 2022

Introduction: Depression and anxiety are examples of psychiatric diseases that can have a significant impact on one's mental health. The most common psychiatric illness that can be diagnosed among students is depression. The study's goal was to evaluate the relationship between stress, depression, and anxiety and coping techniques among university students. Methods: A self-administered questionnaire consisting of socio-demographic, DASS-21 and Brief-COPE inventory were used. Results: The study comprised 108 university students ranging in age from 19 to 74 years old. Depression is connected to acceptance, venting, behavioural disengagement, and self-blame. Acceptance, religion, denial, venting, behavioural disengagement, and self-blame are all correlated to anxiety. Stress is associated with acceptance, self-distraction, denial, venting, behavioural disengagement, and self-blame. Conclusion: Maladaptive coping methods such venting, behavioural disengagement, and self-blame have a major impact on university students' stress, anxiety, and depression levels. A deeper knowledge of the underlying influence of coping strategies on stress, depression, and anxiety among university students during Covid-19 outbreak will be gained through this study, allowing for early intervention and improved outcomes.

Keywords: Psychiatric disorders; Stress; Depression; Anxiety; Student; Coping styles
Online Learning: Attitude Change and Students’ Perceptions
Authors: Kim Loi Chek
Published: June 2022

The purpose of this paper is twofold. First, it is to examine students’ attitude change towards online learning during the Covid-19 pandemic. Second, it intends to explore students’ perception of the emergency online learning. The pretest and posttest questionnaire responses were based on participants’ learning experience. The findings show that in general, there was a positive change of attitude toward both online learning. It can be deduced from the findings that e-learning usage during the pandemic was influenced by by some external factors.

Keywords: online learning, internet connectivity, perception, attitude change
СВІТЛОПИС КОМПОЗИТОРА НЕСТОРА НИЖАНКІВСЬКОГО
Authors: Молчко Уляна
Published: June 2022

Розглянуто фото роботи фундатора української музики, педагога, концертмейстера, громадсько-культурного діяча початку ХХ ст. Нестора Нижанківського як окремої частини публіцистичної спадщини митця. Висвітлено його діяльність в Українському фотографічному товаристві як учасника мистецьких імпрез у Львові та за кордоном. Описано діяльність на сторінках часописів «Світло й тінь», «Назустріч». Наведено перелік фото робіт Н. Нижанківського. що побачили світ на сторінках львівських часописів. Проаналізовано тематичний спектр світлопису українського композитора, який має яскраво національних характер. Встановлено, що його праці мають пізнавальний і виховний потенціал, зумовлений естетичною природою. Визначено провідні жанри фотожурналістики Н. Нижанківського, а саме інформаційний та художньо-публіцистичний. Розглянуто авторські статті, присвячені проблемам розвитку фото справи на початку ХХ ст.
ЗОБРАЖЕННЯ МУЗИЧНИХ ІНСТРУМЕНТІВ ТА МУЗИК ВОЛИНСЬКИМИ ІКОНОПИСЦЯМИ
Authors: Пазинюк Марія
Published: June 2022

Досліджено особливості зображення традиційних музичних інструментів на іконах волинського ікономалярського осередку, охарактеризовано особливості сакрального мистецтва Волині крізь призму аналізу духовної спадщини ікон даного регіону. Музичні інструменти в руках намальованих персонажів ікон характеризують, насамперед, твори народної течії українського ікономалярства, надаючи їм не лише особливого настрою, але й географічної конкретики та національної ідентичності. Виявлено, що мотиви зображення музичних інструментів у структурі ікони засвідчують поєднання двох видів мистецтв – музики і живопису в українській традиційній культурі, а також намагання наблизити Святих до реального життя простих людей, конкретизувати місце євангельської події.
ДО ПИТАННЯ СТАНОВЛЕННЯ ПРОФЕСІЇ «ЗВУКОРЕЖИСЕР» В УКРАЇНІ
Authors: Ужинський Михайло
Published: June 2022

Статтю присвячено дослідженню становлення звукорежисури та діяльності звукорежисера в українському культурному просторі. На основі вивчення архівних матеріалів, нормативних документів окреслено тенденції й підґрунтя виникнення професії звукорежисера, уточнено естетичні засади у формуванні звукорежисури в Україні. Подано періодизацію та основні етапи формування еволюції звукового компоненту, що вплинуло на розвиток як музичного мистецтва, так і культурно-мистецьких процесів кінця XIX – початку ХХІ ст. Завданням статті є обґрунтування поняття звукорежисерської професії як культурно-мистецького феномену другої пол. ХХ – початку ХХІ ст. Розкрито питання взаємодії техніки та мистецтва у сучасній культурі, наголошено на взаємозв’язку техніко-технологічного й мистецького компонентів у художній культурі, вказано на низку напрямів у мистецтві, поява яких інспірована науково-технічним прогресом.
Patient Satisfaction Based on Quality of Service and Location
Authors: Mardikaningsih Rahayu
Published: June 2022

This paper aims to observe the causes of patient satisfaction based on service quality and location. The population in this study were patients at a health center in West Surabaya with a total sample of 96 respondents. The method of data analysis to determine the effect of service quality and location on patient satisfaction used an analytical tool, namely the multiple linear regression equation. This study found that service quality and location have a role in the formation of patient satisfaction at the puskesmas. This is an important determinant for achieving patient satisfaction. It is the obligation of the puskesmas to provide the best service for the community in the health sector. The results of this study are expected to be material for improving the quality of services in hospitals and become the basis for further research.
The Effect of Awards and Work Spirit on The Performance of Employees PT. Candi Baru Sugar Factory, Sidoarjo
Authors: Emmywati
Published: June 2022

Management is the science and art that regulates the process of utilizing human resources effectively and efficiently to achieve the desired goals. Quality is not only smart, but can meet all the qualitative requirements that the job requires, so that the work can be completed according to plan This research carried out to improve the quality of human resources through appreciation and work enthusiasm at PT. Candi Baru Sugar Factory, Sidoarjo. This research was conducted on 60 employees using questionnaires and SPSS data processing (quantitative research method). The results of this research that has been done, and it shows that appreciation and morale partially and simultaneously have a positive effect on employee performance (Adjusted R Square shows a value of 0.837 or 83.7%), while morale is the dominant factor.
Governance as a Determining Factor of Corporate Social Responsibility Disclosure in Sharia Banking
Authors: Pratama Siectio Dicko
Published: June 2022

This research analyses the influence of Good Corporate Governance and Corporate Social Responsibility (CSR) expenditure on Corporate Social Responsibility (CSR) disclosure at Islamic Banks in Indonesia (BI), which has already been registered in Bank Indonesia (BI) since 2014- 2018. The collection methods used in this research is the data sourced in an annual report published by the website of each Islamic Bank. The collection of samples used is the purposive sampling technique. The total sample of this research is 12 Islamic Banks listed by Bank Indonesia since 2014-2018. The result showed that Investment Account Holder (IAH) and Government Ownership significant to Corporate Social Responsibility (CSR) disclosure. On the other hand, governance of the Sharia Supervisory Board (IG-SCORE), institutional ownership, foreign ownership, and CSR expenditure have no significant CSR disclosure