bluuebunny/crossref_metadata_2025 huggingface dataset:
Convergent Conditions of Feedforward Control for Musculoskeletal Systems with Multi 1-DOF Joints Driven by Monoarticular and Biarticular Muscles
Authors: Ochi Hiroaki , Komada Koichi , Tahara Kenji , Kino Hitoshi
Published: June 2023

Muscles in the musculoskeletal system can only transmit forces in the tensile direction, thereby resulting in redundant actuation. This redundancy creates an internal force among the muscles. The musculoskeletal potential method uses a potential field generated by the internal force among muscles and performs a step input of the muscle tension balanced at the desired posture to achieve the point-to-point (PTP) position. This method is extremely simple and does not require any sensory feedback or complex real-time calculations, as long as the target muscle tension is achieved. However, it is known that convergence to a desired posture is strongly influenced by muscular arrangement. In a previous study, we limited our analysis to a specific structure with two joints and six muscles and explained the conditions for convergence to a desired posture. However, when the structure of the target system, number of joints, and number of muscles are different, the convergence conditions cannot be clarified using the previous method. In this study, we extend the previous method to a musculoskeletal system with multiple one degrees-of-freedom (DOF) joints driven by monoarticular and biarticular muscles. In this study, we clarify the conditions that must be satisfied by the muscular arrangement to converge to a desired posture in the musculoskeletal potential method and verify the results through simulation.
Influence of Race on Utilization and Outcomes in Shoulder Arthroplasty
Authors: Zareef Usman , Paul Ryan W. , Sudah Suleiman Y. , Erickson Brandon J. , Menendez Mariano E.
Published: June 2023

Background:

Studies have shown that utilization and outcomes after shoulder arthroplasty vary by sociodemographic factors, highlighting disparities in care. This systematic review synthesized all available literature regarding the relationship between utilization and outcomes of shoulder arthroplasty and race/ethnicity.

Methods:

Studies were identified using PubMed, MEDLINE (through Ovid), and CINAHL databases. All English language studies of Level I through IV evidence that specifically evaluated utilization and/or outcomes of hemiarthroplasty, total shoulder arthroplasty, or reverse shoulder arthroplasty by race and/or ethnicity were included. Outcomes of interest included rates of utilization, readmission, reoperation, revision, and complications.

Results:

Twenty-eight studies met inclusion criteria. Since the 1990s, Black and Hispanic patients have demonstrated a lower utilization rate of shoulder arthroplasty compared with White patients. Although utilization has increased among all racial groups throughout the present decade, the rate of increase is greater for White patients. These differences persist in both low-volume and high-volume centers and are independent of insurance status. Compared with White patients, Black patients have a longer postoperative length of stay after shoulder arthroplasty, worse preoperative and postoperative range of motion, a higher likelihood of 90-day emergency department visits, and a higher rate of postoperative complications including venous thromboembolism, pulmonary embolism, myocardial infarction, acute renal failure, and sepsis. Patient-reported outcomes, including the American Shoulder and Elbow Surgeon's score, did not differ between Black and White patients. Hispanics had a significantly lower revision risk compared with White patients. One-year mortality did not differ significantly between Asians, Black patients, White patients, and Hispanics.

Conclusion:

Shoulder arthroplasty utilization and outcomes vary by race and ethnicity. These differences may be partly due to patient factors such as cultural beliefs, preoperative pathology, and access to care, as well as provider factors such as cultural competence and knowledge of health care disparities.

Level of Evidence:

Level IV. See Instructions for Authors for a complete description of levels of evidence.
DIGITAL ECONOMY AND NEW REQUESTS FOR TRAINING STAFF
Authors: Drozdovich. L.
Published: June 2023

In the article, the main tendencies and factors of the development of the digital economy are analyzed, the key characteristics of the digital economy, tendencies and its stages are analyzed. As strategically important factors determining the possibility of realizing digital leadership in the national economy, the development of the educational space with regard to the digital environment, the implementation of new projects in the training process for the training of specialists with basic digital competences is considered.
Monitoring of legal regulation of award relations in the Russian regions. Part 2
Authors: Kabanov P. A.
Published: June 2023

Objective: to assess the state of legal regulation of award relations in theRussian Federation subjects and to develop measures for its systematization and improvement.

Methods: the main methods of the conducted research are general scientific methods of cognition: analysis, synthesis, comparison, extrapolation, and specific-legal methods of cognition of award relations based on them, used in the Russian theory of law and the state.

Results: an analysis of more than 500 regulatory legal acts of the constituent entities of the Russian Federation has shown that in some regions special laws were adopted in addition to the existing comprehensive laws on awards, which regulate the establishment of regional parliamentary awards, as well as awards of regional state authorities; that in most of the Russian Federation subjects, state (republican, regional, district, municipal) awards are regulated outside the comprehensive award legislation, but within the framework of incentive law, by their own legislation on regional awards and/or by-laws of the regional state authorities; that in some Russian regions there are special laws establishing simultaneously not only state awards of the Russian Federation subject, but also state scholarships.

The territorial scope of the study is limited to the Russian Federation as of September 30, 2022, before the Donetsk People’s Republic, Luhansk People’s Republic, Zaporozhye and Kherson regions, which established their regional awards, became part of it. The time frames of the monitoring study are limited to the period from 1991 to February 10, 2023.

Scientific novelty: for the first time in Russian legal science, a monitoring study of the award law of all subjects of the Russian Federation was conducted, which allows assessing the quality of legal regulation of award relations in the Russian regions and, if necessary, improving the system of regional awards and other incentives for positive lawful behavior.

Practical significance: the results obtained can be used in the law-making activities of state authorities of the Russian Federation subjects in improving regional award legislation, establishing official regional awards and systematizing the legal regulation of award relations. The conclusions of the conducted research enable to eliminate contradictions between the norms of award law and the norms of other regulatory legal acts.
Typology of organizations in the aspect of corruption counteraction in the Russian Federation
Authors: Damm I. A. , Kostrykina V. V.
Published: June 2023

Objective: to perform typologization of organizations in the aspect of counteracting corruption based on generalization of approaches to understanding organizations and highlighting their types in the system of scientific knowledge.

Methods: general scientific method of dialectical cognition, as well as a number of specific scientific methods, such as legal, systemic-structural, formal-logical, etc.

Results: a significant obstacle in building a system of corruption counteraction in organizations is the lack of fundamental intersectoral scientific research ranking organizations depending on the degree of influence of their activities on national security. The typologization of organizations in the aspect of corruption counteraction is of great methodological importance, since it allows establishing the basic scientific and practical approaches to ensuring anti-corruption activities, depending on the degree of corruption-related danger of such organizations. Generalization of approaches to the understanding of organizations and the identification of their varieties allowed establishing the dominance of civil law in the knowledge of organizations. At the same time, the classifications of organizations used in this branch of law do not enable to achieve the goal of this study. In this regard, within the framework of this work, the need for interdisciplinary scientific knowledge of the essential characteristics of organizations is actualized, the identification of signs for the typologization of organizations is problematized, and a working typology of organizations in the aspect of combating corruption is proposed. The further scientific cognition of corruption manifestations and mechanisms of their reproduction in the activities of various types of organizations will make it possible to reveal the reserves of anti-corruption activities and provide a systematic multilevel approach in their implementation.

Scientific novelty: the paper substantiates the need for typologization of organizations in interconnection with the influence of their corruptiogenity on the security of society and the state to build a multilevel system of counteracting corruption in organizations of various types.

Practical significance: the research results can be used in determining the directions for improving state policy in the field of corruption counteraction, as well as anticorruption activity of organizations.
Monitoring UAV Status and Detecting Insulation Defects in Transmission Lines with a New Hybrid Classifier based on the Type-2 Fuzzy and Neural Networks
Authors: Amiri Mohammad Hussein , Pourgholi Mahdi , Hashjin Nastaran Mehrabi , Ardakani Mohammadreza Kamali
Published: June 2023

Monitoring the condition of the transmission lines maintains the health of the power system, prevents unwanted outages, and reduces the costs of repairs and maintenance. This study aims to present a method for monitoring the UAV status and detecting insulation defects in transmission lines with a new hybrid classifier based on the type-2 fuzzy and neural networks. To this aim, the data are preprocessed and balanced, along with the mapping feature vector. Then, two new classifiers are proposed for the image and numerical datasets. The proposed hybrid structure for numerical data contains a Probabilistic Neural Network (PNN), Support Vector Machine (SVM) optimized with Gray Wolf Optimization (GWO) algorithm, and Deep Neural Network (DNN). For image data, the proposed structure is considered as a combination of Convolutional Neural Network (CNN) for feature extraction and three class perceptron classifiers with a hidden layer, SVM optimized with GWO algorithm, and DNN. Finally, the output of the three classifiers enters the Interval Type-2 Mamdani Fuzzy Logic system (IT2FLS) optimized with the Chaos Game Optimization (CGO) algorithm to determine the final state in order to monitor the UAV status and detect the insulation defects. To verify the validity the above-mentioned structure, it is implemented in the MATLAB environment and a laboratory setup is prepared to receive information from the Internet and display the status on the user's mobile phone. The results of the hybrid classifier are compared with those of the previous study. In addition, the classifier proposed for other applications is assessed with two test datasets from the UCI Machine Learning repository to check the generalizability. Based on the results, the proposed hybrid classifier exhibits more accuracy than the other conventional ones.
Estimating the Oceanic Kinetic Energy Cascade from Along-Track Altimetry
Authors: Schubert René , Vergara Oscar , Gula Jonathan
Published: June 2023

The oceanic kinetic energy cascade, the flux of kinetic energy between currents of different horizontal scales, shapes the structure of the global ocean circulation and associated heat, salt, nutrient, and oxygen fluxes. Here, we show with two numerical ocean simulations that the surface geostrophic cascade can be estimated from satellite altimetry observations and present for the first time its regional distribution and seasonal cycle at scales of 40 to 150 km for large parts of the global ocean on the basis of observations. The time-mean cascade is inverse (towards larger scales), strongest in large-scale current systems and decreases with distance from these systems. In the open ocean, the inverse cascade is associated with a maximum in late winter at the smallest scales studied, which transitions to scales larger than 100 km within two to three months, consistent with the widespread absorption of mixed-layer eddies by mesoscale eddies in spring.
Research of the LQR algorithm with constraints based on preview control
Authors: Jin Yang , Ouyang Qi , Li Rui
Published: June 2023

This study proposes a lateral and longitudinal control strategy for intelligent vehicles based on the preview control theory and linear quadratic regulator (LQR) to enhance the trajectory tracking ability and stability. The two-degree-of-freedom dynamic model of the vehicle and the road-vehicle error dynamic model is established, and the future road curvature is incorporated as a disturbance into the LQR state vector using the preview control theory. An augmented LQR problem is solved according to the optimal theory to obtain the analytical solution of the control quantity. This strategy also enhances the adaptive ability of the intelligent vehicle to extreme conditions by taking into account the dynamic constraints. The preview time is optimized using the simulated annealing algorithm to obtain the optimal preview time under different vehicle speeds and road friction coefficients. The stability of the closed-loop control system composed of the new algorithm is analyzed to verify its feasibility. Simulation results on the Carsim/Simulink joint platform demonstrate that it has excellent trajectory tracking ability, stability, and robustness to the vehicle speed. The proposed strategy has the potential to significantly advance the field of intelligent vehicle control and improve the safety and efficiency of transportation systems.
Leafhopper salivary vitellogenin mediates horizontal virus transmission to plant phloem
Authors: Wang Yanfei , Lu Chengcong , Guo Shude , Guo Yuxin , Wei Taiyun , Chen Qian
Published: June 2023

Salivary effectors of piercing-sucking insects can suppress plant defense to promote insect feeding, but it remains largely elusive that how they facilitate persistent plant virus transmission. Rice dwarf virus (RDV), an important rice reovirus, utilizes exosomes of the leafhopper vector, Nephotettix cincticeps, to release from salivary glands and enter the rice phloem for horizontal virus transmission. In this study, we report that the intact salivary vitellogenin (NcVg) of N. cincticeps associates with a small GTPase NcRab5 through interaction for release from salivary glands of leafhopper. When leafhoppers transmit RDV, NcVg is upregulated and packaged into exosomes mediated by the virus-induced NcRab5 in salivary glands, subsequently enters into the rice phloem. The released NcVg in rice phloem inherently suppresses H2O2 burst of rice plants by interacting with the rice glutathione S-transferase F12 (OsGSTF12), which catalyzes glutathione-dependent oxidation, thus facilitating leafhopper feeding. During viral transmission, virus-upregulated NcVg enhances suppression of H2O2 burst by improving the OsGSTF12 catalysis, promoting leafhopper feeding and viral transmission. We thus conclude that salivary NcVg mediates virus transmission from insect to plant phloem, via modulating insect resistance of plant hosts. Our findings provide the first evidence that viruses exploit insect exosomes to deliver virus-hijacked effectors, facilitating horizontal virus transmission.
Effect of Cement Production Processes on Dry Atmospheric Chemistry in South-South Nigeria
Authors: Ubuoh E. A. , Nwogu F.U , Ogbaji E.E , Kanu C. , Nwawuike N
Published: June 2023

The study evaluated the effect of cement production processes on dry atmospheric chemistry in Southern Nigeria. Sampling of CO, CO2, SO2, NO2, VOC, H2S, PM2.5, PM10 were taken from three sites at cement production process namely: milling site, quarrying site and loading bay. Results revealed that milling site had highest general levels of dry atmospheric chemistry while quarrying recorded highest particulate matter and SO2. Comparison of air pollutants to global environmental standards showed limits exceedances in CO, SO2, NO2, PM10 across the three sites. Pearson product moment correlation revealed flipped relationship among and between the pollutants. Principal component matrix for the three locations showed high positive and negative loadings of CO, CO2, SO2, NO2, VOC, H2S, PM2.5, PM10 existing in clusters from different sources. Monthly air quality index report implicated PM10 and SO2 as major constituents of hazardous and very unhealthy air quality around the area. Recommendation were made among others that the company should conduct an environmental auditing of all there processes so as to improve their environmental performance.
The potential of MIL-100(Fe) composites with CPO-27(Ni) and MIL-101(Cr) in adsorption applications
Authors: Elsayed Eman
Published: June 2023

Metal-Organic Frameworks (MOFs) are porous materials with remarkable properties such as huge surface area, pore size and volume, and changeable pore shape, resulting in extraordinary adsorption uptake. Nevertheless, some of the MOFs are only available on lab scale and prepared in complicated procedures which limit their applications. The properties can be further modified through the route of preparing composites.
This work aims to present a developed water-based technique to produce MIL-100(Fe) at atmospheric pressure and without hydrofluoric (HF) acid. Novel composites of MIL-100(Fe) with MIL-101(Cr) or CPO-27(Ni) were synthesized to benefit from the high-water vapour capacity at high and low relative pressure of MIL-101(Cr) and CPO-27(Ni), respectively.
The synthesized composites were fully characterized using XRD, TGA, FTIR, SEM and TEM, thermal conductivity, surface area and water vapour capacity.
Results showed that the synthesized MIL-101(Cr)/MIL-100(Fe) has improved water vapour capacity on the high relative pressure range while CPO-27(Ni)/MIL-100(Fe) has increased water vapour adsorption on the low relative pressure range. This implies that the new composites may be utilised to control MOF material performance and make it appropriate for a wider variety of applications. Also, the efficiency of the synthesized composites was numerically investigated and was in comparison to its parent MOFs and silica gel. The synthesized composites performance in a variety of adsorption applications including desalination with cooling effect cooling and storing energy showed improvement compared to the parent MIL-100(Fe).
An Improved Ant Colony Optimization to Developing Hilly Areas Tourism Path under Dynamic Objectives
Authors: damos Mohamed , Zhu Jun , Li Weilian , Elhabob Rashad
Published: June 2023

Tourism path planning is complex in hilly areas due to a variety of challenges including steep hills, narrow roads, and limited accessibility. Furthermore, when planning tourism paths, hilly areas frequently have distinctive natural potential that must be carefully taken into account such as dynamic objectives. Temperature, pressure, and health state are three of the most important dynamic objectives. In this paper, we proposed a dynamic objectives approach to developing tourism path planning in hilly areas. The main contribution of this approach was the improved Ant Colony Optimization algorithm ACO to establish a new multi-dynamic objectives approach and apply this approach in hilly areas. We have improved ACO by comparing construction tour and updating pheromone methods. This approach has been applied to develop tourist routes in Jebel Marra hilly in western Sudan. Our approach was compared with the genetic algorithm GA and the traditional ACO. Results show the advantage of our approach due to the optimizing time being 0.27 seconds, 0.45 seconds for GA, and 0.40 seconds for traditional ACO.
Informing social media analysis for public health: A cross-sectional survey of professionals
Authors: White Becky K , Wilhelm Elisabeth , Ishizumi Atsuyoshi , Abeyesekera Surangani , Pereira Alhassan , Yau Brian , Kuzmanovic Aleksandra , Nguyen Tim , Briand Sylvie , PURNAT Tina D
Published: June 2023

Background
During the COVID-19 pandemic, the field of infodemic management has grown in response to urgent global need. Social listening is the first step in managing the infodemic, and many organizations and health systems have implemented processes. Social media analysis tools have traditionally been developed for commercial purposes, rather than public health, and little is known of the experiences and needs of those professionals using them for infodemic management.
Methods
We developed a cross sectional survey and distributed through global infodemic management networks between December 2022 and February 2023. Questions were structured over four sections related to work-practice and user needs and did not collect any personal details from participants. Descriptive analysis was conducted on the study results. Qualitative analysis was used to categorise and understand answers to open-text questions.
Results
There were 417 participants, 162/417 who completed all survey questions, and 255/417 who completed some, all responses are included in analysis. Respondents came from all global regions and a variety of workplaces. Participants had an average of 4.4 years’ experience in the analysis of social media for public health. COVID-19 was the most common health issue people had conducted social media analysis for. Results reveal a range of training, technical capacity, and support needs of those working in social media analysis for public health.
Discussion
These results reveal gaps in training and a need to increase capacity building, and leadership for those working in this space. They also highlight gaps in technical and public health capability of social media analysis platforms. There is a need for easier access to better platforms with technical capacity developed with public health professionals.
Conclusion
This paper is the first we are aware of to seek and describe the needs of those using social media analysis platforms for public health purposes since the start of the COVID-19 pandemic. There are key areas for future work and research, including addressing the training, capacity building and leadership needs of those working in this space, and the need to facilitate easier access to better platforms for performing social media analysis.
Solving Third Order Differential Equations and Related Physical Problems using Perturbed Basis of an Hybrid Block Method
Authors: SABASTINE EMMANUEL , Sathasivam Saratha , Ogunniran Muideen
Published: June 2023

Perturbed basis of a hybrid block method is a modification of the original basis functions, designed to improve the performance of the method when differential equations posses some special properties. It is an active area of research in numerical analysis. The perturbation approach of approximation aims to enhance both the accuracy and stability of the corresponding method. Block methods belong to a class of multi-step method where numerous previous function evaluations are used to compute the next function value. The commonly used basis function of block methods are the power series, linear combinations of orthogonal polynomials, while few of literature has considered exponential, logarithmic or rational functions. This paper contains an efficient hybrid block method whose basis was sought from a slightly perturbed power series function. The perturbation was supported with a member of the Chebyshev orthogonal polynomial. The perturbed basis approach is a way to improve on the accuracy and stability of the block method without having to resort to a more complex method. The qualitative analysis of the method was carried out and was proven to be consistent, stable and convergent. The quantitative analysis of the methods through the numerical examples considered proves the method exhibits superior strength over existing methods in literature.
Mathematics Subject Classification (2020). 65R05; 65L02
University Chatbot System using NLP
Authors: Verma Abhigya , Kaur Sukhmani , Khatri Pragya , . Sristi , Kuntala Chandana , Mohapatra A K , Singhal Shweta
Published: June 2023

Chatbots are programmed software that can reply to human queries in real-time and their requirement and need in today’s world is endless. They are made for a variety of uses, including operating electrical equipment in a smart home, serving as a personal virtual assistant, providing entertainment, responding to commonly asked queries, obtaining driving directions, etc. Due to their ability to manage several customers at once and help cut down on customer care costs, chatbots have gained popularity in the corporate sector. To make the chatbots as effective as possible, numerous activities still need to be completed. We designed a college FAQ chatbot to address this issue in the academic environment. This chatbot uses Machine Learning (ML) and Natural Language Processing (NLP) to answer questions about a particular institution in an effective and precise manner.
Application of Machine Learning Approaches in Particle Tracking Model to Estimate Sediment Transport in Natural Streams
Authors: Baharvand Saman , Ahmari Habib
Published: June 2023

Several empirical equations and machine learning approaches have been developed to predict dispersion coefficients in open channels; however, the ability of some learning-based models to predict these coefficients has not yet been evaluated, and the direct application of machine learning-based dispersion coefficients to Lagrangian sediment transport models has not been studied. In this research, data from previous studies is used to evaluate the ability of ensemble machine learning models, i.e., random forest regression (RFR) and gradient boosting regression (GBR), to predict longitudinal and transverse dispersion in natural streams. The optimal principal parameters of ensemble models were adjusted using the grid-search cross-validation technique, and the machine learning-based dispersion models were integrated with a Lagrangian particle tracking model to simulate suspended sediment concentration in natural streams. The resulting suspended sediment concentration distribution was compared with the field data. The results showed that GBR model, with a coefficient of determination (R2) of 0.95, performed better than the RFR model, with R2 =0.9, in predicting the longitudinal dispersion coefficients in a natural stream in both training and testing stages. However, the RFR model with R2 = 0.94 performed better than the GBR (R2 = 0.91) in predicting the transverse dispersion in testing stage. Both models underestimated the dispersion coefficients in the training and testing stages. Comparison between the PTM with ensemble dispersion coefficients and empirical-based dispersion relationships revealed the better performance of the GBR model compared to the other two methods.
Combinatorial Construction of Repairable Threshold Key Sharing Schemes
Authors: Wang Xiuli , Jin Ni , Deng Yangmei
Published: June 2023

In this paper, we use two types of designs to construct repairable threshold schemes, and calculate information rate and communication complexity of the schemes to analyze their performance. Firstly, SB(2λ + 1, λ, 4λ + 3) is used to construct the (3, 4λ + 3, 2λ + 1)−RTS, which is based on (3λ + 3, 4λ + 4)−Shamir threshold scheme. Secondly, the mutually orthogonal Latin squares are constructed, and a RTD(q, 1; q 2) is obtained by them. Further, the RB(q, 1; q 3) is obtained through filling hole method. (2, n, q)−RTS based on (q, 2q − 1, q 3)−Ramp threshold scheme and (3, n, q)−RTS based on (2q, 3q − 3, q 3)−Ramp threshold scheme are constructed by RB(q, 1; q 3), where 2q 2 ≤ n ≤ q 2 (q 2 + q + 1). Finally , the information rate and the communication complexity of three repairable threshold schemes are calculated, and the performance of these schemes is analyzed. Compared with the existing schemes, the results show that (2, n, q)−RTS and (3, n, q)−RTS constructed by RB(q, 1; q 3) have higher information rate and lower communication complexity.
A meta-analysis on inflammation and autonomic nervous system of coronary heart disease combined with depression
Authors: Li Guo , Zhang Lijun , Liu Meiyan
Published: June 2023

Objective
This meta-analysis aimed to explore the association between inflammatory factors, HRV, and the coexistence of coronary heart disease (CHD) and depression.
Methods
The most common databases were chosen for data research, including PubMed, Web of Science, and EMBASE. We searched the data from the inception date through Mar. 16, 2023. The effect estimates and heterogeneity was synthesized by Review Manager version 5.3. Sensitivity analysis and publication bias were analyzed by STATA software.
Results
By searching the databases, we identified a total of 6750 articles. There were 22 articles left after selection, including 6344 participants. This meta-analysis indicates that CHD patients with depression have higher levels of CRP (0.45 [0.08, 0.82], P=0.02), hs-CRP (0.28 [0.07, 0.48], P=0.008) and a lower level of SDNN (-0.64 [-1.11, -0.17], P=0.008), SDANN (-12.77 [-21.20, -4.33], P=0.003), SDNNIDX (-13.83 [-15.94, -11.72], P<0.00001), RMSSD (-8.02 [-13.62, -2.43], P=0.005) pNN50 (-0.86 [-1.41, -0.31], P=0.002), than those without depression.
Conclusion
This study highlights that a higher level of inflammatory factors and lower HRV would help to predict depressive symptoms in CHD patients.
Improvement of FLIP CHIP detection and localization based on traditional image algorithm
Authors: Li Dongjie , Zhang Liwen , Liu Weihua , Yu Xinghu
Published: June 2023

Surface mount technology (SMT) in integrated circuits, is one of the pillars of electronic information industry. Its degree of development is also one of the core indicators to measure the level of science and technology of a country, which affects process of social information. In recent years, chip technology has improved, and surface mount technology has also achieved remarkable results. But there are still two problems, one is for high-density integrated chips (such as BGA, FLIP CHIP, etc.), the recognition of pass rate is low by the light, chip quality, and other external factors such as more significant impact. The other is traditional template matching algorithm used for positioning, which takes a long time and leads to low production placement speed. In this paper, we take FLIP CHIP as an example and propose a regional screening algorithm to reduce interference, which includes area screening and roundness screening to extract the most valuable part of image information. The regional connected domain method is proposed to obtain the center of gravity set of weld balls and the circle fitting function in OpenCV is used to calculate weld ball radius. The pre-processed image is taken to improve linear fitting method to calculate the chip body size, the average pitch of solder ball, the rotation angle, and the coordinates of the center point of the chip. The remapping search algorithm is used to calculate the number of empty spaces. Then, the rotation angle under the obtained image coordinate system and the center point coordinates of chip are converted to the physical coordinate system at the time of positioning. Then, the offset is output by subtracting from the size of acquired ROI. It is more advantageous than the method of template matching to improve detection speed while ensuring accuracy.
Knowledge gaps in healthy hair care practices and hair loss within the African American community
Authors: Douglas Annyella , Brockmeyer Kayla , Iwuala Callyn , Ohanenye Chiamaka , Ekeh Odera , Cole Yonesha , Sangobiyi Michael , Zhan Tingting , Taylor Susan , Nikbakht Neda
Published: June 2023

Our objective was to identify knowledge gaps in healthy hair care practices in African American clientele and the hair stylists and barbers who serve them. This was a cross sectional population-based survey study, distributed from August 2021 to November 2021 in salons and barbershops within Philadelphia and the surrounding regions. Participants were a random sample of 202 self-identifying African American clientele and 115 hair stylists/barbers, ≥ 18 years old. Survey response rate was 71%. Results revealed that 66.8% of clientele prioritize healthy hair over the style of their hair, 43.1% of clientele would consult their hair stylist/barber first when experiencing hair loss, while 21.3% would consult a dermatologist first. When concerned about client hair loss, 59.1% of hair stylists’ and barbers’ first step was to give advice based on their own expertise. Hairstylists and barbers had a higher mean score than clientele (2.9/5 vs 2.4/5) regarding knowledge of hair styles that increase risk of hair loss. In summary, the key points are: 1) In the African American community, healthy hair is a priority and clientele are more likely to refer to their hairstylists and barbers regarding management of hair loss. 2) There may be a gap in knowledge pertaining to hairstyles that increase risk for alopecia amongst hairstylists, barbers, and their clientele. 3) Dermatologists should partner with hair stylists and barbers to develop outreach programs targeting knowledge gaps within the community to improve prevention and early detection of hair loss.
The Challenge of the Initial Rent in Switzerland: An Empirical Study
Authors: Bieri Laurent
Published: June 2023

In an unexpected decision issued in 2020, the Swiss Federal Supreme Court significantly increased the allowed return for most rental properties. This decision does not seem to have had any effect on the level of new rents, which suggests that the rules regarding the challenge of the initial rent have little effect on the level of new rents.
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In einem unerwarteten Entscheid aus dem Jahr 2020 hat das Schweizerische Bundesgericht die zulässige Rendite für die meisten Mietobjekte deutlich erhöht. Dieser Entscheid scheint keine Auswirkungen auf die Höhe der Neumieten gehabt zu haben, was darauf hindeutet, dass die Regeln zur Anfechtung des Anfangsmietzinses kaum Auswirkungen auf die Höhe der Neumieten haben.
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Dans un arrêt inattendu rendu en 2020, le Tribunal fédéral a considérablement augmenté le rendement admissible de la plupart des immeubles locatifs. Cet arrêt ne semble pas avoir eu d’effet sur le niveau des nouveaux loyers, ce qui suggère que les règles sur la contestation du loyer initial n’ont que peu d’effet sur le niveau des nouveaux loyers.
Assessment of antioxidant and enzyme inhibition properties of Myrtus communis L. leaves
Authors: UYSAL Sengul , SİNAN Kouadio Ibrahime , ZENGİN Gokhan
Published: June 2023

This study investigated the antioxidant and enzyme inhibitory properties of Myrtus communis leaves. Three different solvents including methanol, 50%-methanol, and water were used to extract of M. communis. In addition, total bioactive compounds were evaluated by using total phenolic and total flavonoid content assays. In antioxidant assays, water extract displayed the highest antioxidant potential. The MeOH extract demonstrated the highest inhibitory effect against AChE (4.38 mg GALAE/g), BChE (1.58 mg GALAE/g), α-amylase (0.56 mmol ACE/g), and tyrosinase (132.20 mg KAE/g). The M. communis leaves extract could be used as a promising raw material source in food and medicine industries.
Adesão a atividade física e qualidade de vida de indivíduos após cirurgia bariátrica
Authors: De Araújo Almeida Erika , Anziliero Arossi Guilherme , Pujol Vieira dos Santos Ana Maria
Published: June 2023

A bariátrica é uma cirurgia no sistema digestivo que visa a reduzir o peso corporal, a partir da diminuição da capacidade gástrica e consequentemente redução na ingestão de alimentos. Espera-se não apenas a perda de peso, mas alterações nos parâmetros de saúde e de qualidade de vida. O objetivo do estudo foi investigar a adesão ao exercício físico e a qualidade de vida de indivíduos submetidos à cirurgia bariátrica. O estudo é transversal, analítico e quantitativo. Foi aplicado um questionário sociodemográfico/condições de saúde, um de qualidade de vida (Whoqol Bref) e um de adesão a exercício físico (EARS-Br). A amostra constituiu-se de 76 pessoas (60 mulheres), 38 (50%), com faixas etárias entre 40 e 60 anos, 57 (75%) concluíram o Ensino Superior e a renda familiar da maioria foi de 1 a 3 salários-mínimos (39/51,3%). A maioria dos participantes apresentou sobrepeso (32/43,2%) e não eram fumantes 56 (73,7%), enquanto 34 (44,7%) faziam uso de bebida alcoólica. A maioria não fazia exercícios físicos antes da cirurgia 53 (69,7%). Após a cirurgia bariátrica, a qualidade de vida foi muito boa e a prática de atividade física melhorou, porém não foi aderida à rotina de forma satisfatória por 48 (63,2%). A falta de tempo foi o principal fator para a não adesão. Conclui-se que a aderência à atividade física não foi inserida como estilo de vida, não existindo correlação com adesão ao exercício físico e qualidade de vida na amostra avaliada.
CHEMBIOSEASONS 2023
Authors: Pungin A
Published: June 2023

Abstracts of reports of the All-Russian Forum of Young Researchers "ChemBioSeasons 2023" dedicated to the 75th anniversary of the Immanuel Kant Baltic Federal University (April 20-22, 2023, Institute of Medicine and Life Sciences, Higher School of Living Systems) , Kaliningrad, Russia). This year, medical sections were presented in the conference program for the first time. The collection contains topical theoretical and applied research of young scientists in the following areas: ecology, botany, plant biochemistry, microbiology, physiology, molecular biology, bioengineering, bioinformatics, organic chemistry, physical chemistry, biotechnology, fundamental medicine, diagnosis and screening of diseases and pathological conditions , rare diseases and difficult patients. The publication is of interest to biologists, chemists, ecologists, biotechnologists, physicians, as well as students of universities in natural sciences and medicine.
Sztuka protestu czy protest w sztuce? Protest artystyczny w transdyscyplinarnej sztuce nowych mediów. Zarys problematyki
Authors: Kluszczyński Ryszard
Published: June 2023

Podejmuję w tekście analizę sztuki protestu, ujmując ją w dwojakiej perspektywie. W pierwszej, transhistorycznej, przyglądając się jej różnym manifestacjom, uznaję, że nie posiada ona żadnych określników gatunkowych bądź medialnych, które pozwoliłyby opisać ją jako odrębny gatunek sztuki. Mamy tu raczej do czynienia z protestem wyrażanym środkami sztuki. W drugiej kieruję uwagę ku współczesnym, najnowszym jej przejawom, stwierdzając, że sztuka protestu przyjmuje postać sztuki transdyscyplinarnej a jej najbardziej wyrazistym wcieleniem jest nurt bądź odmiana sztuki nowych mediów.
Boso albo w przebraniu - o możliwościach wyrażania sprzeciwu w sztuce dawnej
Authors: Mrozowski Przemysław
Published: June 2023

Sprzeciw wobec norm zwyczajowych lub narzucanych rozwiązań politycznych mógł w sztuce dawnej wyrażać na wiele sposobów. Małgorzata Wielogłowska w swym nagrobku z ok. 1564 r. w Czchowie prezentuje się w odświętnym ubiorze, w jakim damy wysokiego rodu udawały się np. do kościoła. Ale spod spódnicy wystają jej gołe stopy – występuje boso. W duchu pokory prowokacyjnie odrzuciła jeden ze obowiązujących znamion statusu społecznego. Niewiele późniejszy portret Piotra Krajewskiego z 1583 r. można uznać za świadectwo postawy odwrotnej. W tym przypadku wyrazem kontestacji nie jest odrzucenie ubioru lub jego ważnego fragmentu, ale wystąpienie w „kostiumie” – ubiorze wzorowanym na ówczesnych, moc- no orientalizujących strojach węgierskich. Takie ubiory zaczęły się pojawiać w Polsce w połowie XVI w., wówczas jednak można je uznać za wyraz ekstrawagancji. W dobie pierwszych królów elekcyjnych upowszechniły się wśród szlachty jako swoisty „mundur” – świadectwo niechęci do wpływów obyczajowych Zachodu. Niespełna 30 lat później, w początkach XVII w. ubiór taki stanie się „normą” – strojem narodowym, jedynym, jaki uznano za właściwy dla polskiej szlachty, wyraz postawy znamiennej dla rodzącego się wówczas sarmatyzmu.
„Tylko sztuka cię nie oszuka”
Authors: Fereński Piotr Jakub
Published: June 2023

W artykule autor omawia najważniejsze motywy pojawiające się w działalności zmarłego jesienią 2021 r. polskiego malarza, grafika, rysownika komiksów i autora prac video-art Pawła Jarodzkiego. Przed rokiem 1989 jego twórczość kojarzona była przede wszystkim z ironią, satyrą, pastiszem, czyli środkami wyrazu artystycznego wykorzystywanymi przez artystę na potrzeby krytyki niewydolnego systemu ekonomicznego oraz stojącego za nim groteskowego, chociaż wyposażonego w siłę militarną, aparatu władzy. Jarodzki w sposób przewrotny ukazywał absurdy okresu niedoborów, szarzyzny i stagnacji końca PRL-u. Po transformacji ustrojowej nie przestały go interesować kwestie materialności, produkcji i dystrybucji dóbr, produktów i ich konsumpcji. Wątki te pozostały silnie obecne w jego sztuce. Był nie tylko oryginalnym artystą, ale też społecznym aktywistą. Postawie kontestacji i oporu wobec systemu zarówno na gruncie sztuki, jak i zaangażowania politycznego, ale też pamięci o Pawle Jarodzkim poświęcony jest publikowany tekst.
THE EFFECT OF NON-PERFORMING LOANS AND LOAN DEPOSIT RATIOS ON STOCK RETURNS IS MEDIATED BY A PROFITABILITY STUDY ON COMMERCIAL BANKS LISTED ON THE INDONESIA STOCK EXCHANGE FOR THE PERIOD 2016 - 2018
Authors:   STIE of Economics Jaya Negara Taman Siswa Malang, Indonesia, Iskandar Yusuf , Suharyanto Suharyanto ,   PGRI Adi Buana University Surabaya, Indonesia, Zaki Achmad ,   Nahdlatul Ulama University, Sidoarjo, Indonesia, Widhayani Puri Setioningtyas ,   The Hungarian University of Agriculture and Life Sciences Budapest Hungaria
Published: June 2023

Stock return is an indicator of banking performance in Indonesia. This study aims to empirically test non-performing loans and loan deposit ratios on stock returns mediated by return on assets at commercial banks listed on the Indonesian stock exchange in 2016-2018. The sample used in this study was 20 bank companies that met predetermined criteria. The data that has been collected is then analyzed using Path analysis to test the proposed hypothesis. The findings of this study indicate that non-performing loans and loan deposit ratios each have a significant effect on stock returns and are mediated by return on assets. Based on these findings, it is recommended that banking companies, in managing financial ratios, must run more optimally to maximize stock returns obtained by banks. Non-performing loan, loan deposit ratio is a bank's financial ratio to assess its performance. These financial ratios have a purpose to determine the bank's ability to optimize the level of lending to the public, generate profits from the activities carried out and reject the risks from its operational activities. For banking companies, the findings of this study can be used in policy-making related to the delivery of information on bank performance reports to investors.
ROLE OF PERCEIVED VALUE ON CUSTOM-ER LOYALTY THROUGH OPTIMIZATION OF SERVICE QUALITY AND INNOVATION
Authors:   Universitas Halu Oleo Kendari, Husin Husin , Hermawati Adya ,   Universitas Widyagama, Purbaningsih Yuli ,   Universitas Sembilanbelas November Kolaka, Susriyanti Susriyanti ,   Universitas Putra Indonesia YPTK Padang, Fettry Sylvia ,   Universitas Katolik Parahyangan, Ali Shujahat ,   Mirpur University of Science and Technology, Pakistan
Published: June 2023

Service providers must pay attention to customer satisfaction in their activities. They must focus on the quality of services provided and the need for innovation to increase customer value. It is important because service providers often pay little attention to the customer's perceived value in supporting service quality. The quantitative approach is used in this research. Data analysis is statistical and involves hypothesis tests. The survey is also conducted in which the data are obtained through a questionnaire. The object of research is service quality, innovation, perceived value, and customer loyalty. The research population is the customers of BPR Kedung Jaya Surabaya, with a sample of 100 respondents. The data collection instrument involves a questionnaire, documentation, and observation. The measurement scale is Likert Scale. The analysis technique in this research is a descriptive statistic and partial least square assisted by Smart PLS software. Results of the study show that: service quality has a significant effect on perceived value, innovation has a significant effect on perceived value, service quality has a significant effect on customer loyalty, innovation has a significant effect on customer loyalty, perceived value has a significant effect on customer loyalty, service quality significantly affects customer loyalty with the mediation of perceived value, and innovation significantly affects customer loyalty with the mediation of perceived value. This research implies that BPR Kedung Jaya Surabaya can use the results of this research as guidance to strengthen customer loyalty by examining all factors that influence research variables.
THE SYSTEMATIC REVIEW OF EFFECTIVE PERFORMANCE MANAGEMENT SYSTEMS IN ORGANIZATIONS
Authors:   Department of Information and Communication Technology, National Electronic Media Institute of South Africa, Johannesburg, Mdhlalose Dickson
Published: June 2023

This study aims to determine the impact of Performance Management Systems (PMS) on employee and organizational performance. The researcher utilized exploratory research in the study because the investigation tries to identify known/unknown factors and evaluate established hypotheses. Data was gathered through secondary research methods. Online research was conducted. Secondary information was collected using many online search tools and specialized journals, textbooks, articles in scientific journals, and online sources related to the topic. Establishing an efficient PMS is a difficult task for organizations. There are a variety of PMS tools that exist. The 360-feedback approach is the most suited appraisal method for executing the PMS for employees in an organization. PMS enhances employee performance employees' performance fairly since connections between performance reviews and improved productivity do not hold. Managers' engagement, senior management involvement, and performance feedback are key indicators of PMS's efficacy. The relevance of this research contributes to the current body of knowledge about performance management systems. Organizations would find this study's conclusions valuable and intriguing. Organizations will comprehend the influence of a successful PMS on employee and organizational performance and, as a result, devise effective countermeasures or capitalize on the advantages. This study will bring about novel knowledge of PMS and further provide future research leads. Because of its reliance on secondary sources, this investigation could only include published academic papers that existed when the study was done.