bluuebunny/crossref_metadata_2025 huggingface dataset:
State Control Of Electronic Information Resources: Role And Efforts In The Modern Context
Authors: Winarsasi Putri Ayi , Thalib Mutia Cherawaty , Moha Mohamad Rivaldi , Elfikri Nurul Fazri
Published: June 2023

This research focuses on the role and responsibility of the state in controlling and regulating electronic information resources, especially in the scope of e-commerce in Indonesia. In the digital era, the rapid development of e-commerce requires effective and comprehensive regulation to ensure the integrity, security, and growth of this industry. This research discusses several necessary regulations adopted by the Indonesian government, including Law Number 11 of 2008, which was changed to Law Number 19 of 2016 concerning Information and Electronic Transactions, Government Regulation No. 82 of 2012 concerning the Implementation of Electronic Systems and Transactions, Law Number 7 of 2016 concerning Trade, and Bank Indonesia Regulation No.11/12/PBI/2009 concerning Electronic Money. This research shows that these regulations and policies have established a Solid legal framework for e-commerce in Indonesia. However, given the rapidly changing technology and industry dynamics, these regulations and policies must be continuously updated and adapted to new needs. Therefore, the state's role in monitoring industrial developments, adjusting regulations, and educating the public is essential in establishing a fair, safe, and sustainable e-commerce ecosystem. Overall, this research shows that balancing consumer protection and industry growth is critical for the future of e-commerce in Indonesia.
INTERNATIONAL SCIENTIFIC AND TECHNICAL COOPERATION IN THE CONDITIONS OF STRUCTURAL CHANGES IN THE WORLD ECONOMY AND INCREASED COMPETITION
Authors: Bertosh. E.
Published: June 2023

The article is devoted to the study of the phenomenon of “international scientific and technical cooperation” as an important element of international economic relations, contributing to an increase in the innovative component of economic growth. A critical analysis of the author's definitions and approaches of the UN to assess the role and importance of international scientific and technical cooperation for the world community has been carried out, modern features of cooperation have been identified, on the basis of which the trends in the development of the world technological market have been substantiated.
EVALUATION OF THE EFFICIENCY OF INTEGRATION ASSOCIATIONS FOR ORGANIZATIONS OF SMALL AND MEDIUM BUSINESS IN THE REPUBLIC OF BELARUS
Authors: Kisseleva. N.
Published: June 2023

The article proposes a methodology for assessing the effectiveness of integration associations for small and medium-sized businesses in the Republic of Belarus, which involves the use of a comprehensive two-sided approach to determining the impact of integration processes on the development of the national economy in general and business in particular. As a result of the study, a matrix for evaluating the effectiveness of integration associations was proposed, which makes it possible to determine the feasibility of integration cooperation of the national economy based on the priority of developing small and medium-sized businesses. The developed methodology was used in the construction of an organizational and economic model for managing small and medium-sized businesses in the context of integration processes, which made it possible to develop the main strategies for their development.
PROSPECTS AND TRENDS IN THE USE OF BIG DATA IN THE NATIONAL ECONOMY
Authors: Stashevskaya. M.
Published: June 2023

The article is devoted to the study of prospects and trends in the use of big data.
The features of big data that affect the forms, methods, and tools for using big data are considered. It is shown that the use of big data extends both to traditional industries and serves as the basis for the functioning of new industries that unite digital enterprises. It is shown that the use of big data is a source of modernization of public administration, due to which there is a delegation of bureaucratic functions to digital technologies, ensuring the observability of socio-economic processes and planning social development. Trends in the use of big data in the Russian Federation and the United States are noted.
WAYS TO OVERCOME ORGANIZATIONAL AND ECONOMIC PROBLEMS OF ROBOTIZATION OF BELARUSIAN INDUSTRY
Authors: Serhiyevich. Т.
Published: June 2023

The article is devoted to identifying organizational and economic problems that arise in the way of robotization of the industry of the Republic of Belarus, as well as developing ways to overcome these problems in the context of modern challenges and threats. The relevance of the study of this issue, due to the need for advanced modernization of the national industrial complex, accompanied by the introduction of robots and robotic systems, is substantiated. The specifics of the robotization of the Belarusian industry and some of the risks arising in this process are shown.
Gerasimov Nikolay Vasilievich: economist and philosopher, citizen and person
Authors: Solodovnikov. S.
Published: June 2023

Dedicated to the memory of the outstanding Belarusian scientist-economist Nikolai Vasilyevich Gerasimov
Political economy of socialism with Chinese characteristics: on the issue of intra- and interdisciplinary synthesis
Authors: Volynskii A. I.
Published: June 2023

Objective: to show the ontological potential of interdisciplinarity and paradigmatic pluralism in economic research by the example of the Chinese-specific socialism model and its description in Western socio-political discourse.

Methods: qualitative methods (discourse analysis, comparative analysis, generalization).

Results: the work shows the features of the discourse in modern economic theory regarding the problems of intra- and interdisciplinary synthesis. The economic mainstream, claiming the accuracy of its method of creating scientific knowledge, can and does become the basis of political knowledge and ideological judgments. Describing certain aspects of reality, the mainstream normalizes them, and sometimes elevates them to the rank of a rule. Based on the analysis of the Chinese model of economic reforms, the article shows that in Western socio-political and scientific discourses regarding this model, both at the stage of their beginning and now, there are erroneous ideas and expectations about the purpose, content and results of the reform process. The root cause of this false perception is, assumingly, the disciplinary isolation of economics, as economics is considered to be a universal extrapolitical and extra-cultural constant. To confirm this thesis, the main stages of the transformation of the ideology of building the Chinese economic model, its transition from an anti-market and anticapitalist position to a Chinese-specific socialism model are considered. It is shown that among the trajectories of China’s future development, Western economists and politicians saw only the two main ones: creeping liberalization and limiting the influence of the state in the Chinese economy, accompanied by democratization of the political sphere, on the one hand, and reaching the limits of economic growth possible for countries with authoritarian institutions, on the other. However, the collective action factor ignored by researchers has formed a stable growth economy, not accompanied by political liberalization.

Scientific novelty: consists in comprehending the discourses about the Chinese economy as a result of the challenge posed by the Chinese reforms to mainstream political economy.

Practical significance: the provisions and conclusions of the research can be further used to study the influence of economic theory on socio-political discourses and political decisions.
Assessment of competitiveness of a Russian electric car as a substantiation of the need to stimulate electric cars market in Russia
Authors: Baraboshkina A. V. , Kudryavtseva O. V.
Published: June 2023

Objective: to assess the competitiveness of a Russian electric car and an ICE car, taking into account the external costs associated with emissions of the main greenhouse gas – CO2.

Methods: the article uses comparative and quantitative methods, the method of analysis and synthesis, the method of estimating the total cost of ownership (TCO), justifies the use of the avoidance cost approach as an optimal approach to assessing the external costs associated with climate change.

Results: modern efficient economic development is inextricably linked with the organization of a low-carbon transport system. The green transition to electric vehicles makes it possible to solve the problem of externalities associated with the increased public costs due to greenhouse gas emissions. The paper examines the prospects for the transition to electric cars from the viewpoint of reducing the external costs of cars. The article assesses the current state and key barriers to the development of electric transport production. A comparative assessment of the competitiveness of Russian electric vehicles and ICE cars is given, taking into account the external costs associated with carbon emissions. The comparison was carried out based on an estimate of the total cost of ownership, taking into account the external costs associated with greenhouse gas emissions. As a result of the comparative analysis, it was determined that the total cost of five-year ownership of the Evolute i-Pro car, taking into account support measures, is even lower than that of the Lada Vesta Sport ICE sedan, which is close to it in terms of technical characteristics, by 342.7 thousand rubles. Without subsidies, Evolute i-Pro does not yet achieve parity in the cost of ownership with an ICE car, despite low operating costs, free parking and exemption from paying transport tax. Based on the conducted research, conclusions are made about the measures necessary to increase the gap between the total costs of ownership in ICE cars and electric cars to increase the competitiveness of the latter.

Scientific novelty: the author’s approach was used to compare the competitiveness of the new Russian electric car Evolute i-Pro and Lada Vesta Sport ICE car, which, in addition to support measures, includes external costs associated with carbon emissions.

Practical significance: the results obtained may be useful to developers of state support measures in assessing the effectiveness of the current subsidy mechanism and making decisions on further stimulating the development of the electric cars market in Russia. The results of the study will also be especially useful to residents of Moscow who are thinking of buying a Russian electric car.
Does the parole program affect recidivism? Qualitative Analysis in Malaysia
Authors: Syamsulang S. , Huzaini М.
Published: June 2023

Objective: the objective of this study is to identify the critical factors that present challenges and opportunities for parolees in Malaysia to avoid committing repeated crimes and reduce recidivism.

Methods: the study employs a qualitative approach, using face-to-face interviews with prison officers in the state of Pahang, Malaysia, to gather data. Content analysis is used to analyse the data and identify the critical factors for parole activities in Malaysia.

Results: the study identified five crucial factors that affect parole activities in Malaysia: individuals, families, communities, private institutions, and government policies. Individuals refer to the characteristics and behavior of the parolee, while families and communities relate to the support and involvement of the parolee’s family and community in the rehabilitation process. Private institutions, such as Intermediate Houses and Corporate Smart Internship (CSI), can provide support and resources for parolees, and effective government policies and practices can ensure successful reintegration into society. Further studies could investigate the specific ways in which these factors influence parole activities in Malaysia and explore best practices for reducing recidivism rates.

Scientific novelty: this study contributes to the literature on parole activities in Malaysia by identifying critical factors that can impact the success of the parole system in reducing recidivism. The study provides valuable insights into the challenges and opportunities faced by parolees in Malaysia.

Practical significance: the findings of this study can be used by the Malaysian Prisons Department to develop effective strategies and policies to reduce recidivism rates and improve the success of the parole system. The study can also be used by other countries with similar parole systems to identify critical factors that impact the success of their parole programs.
Kinematic Modeling of 7-DOF Cable-Driven Manipulators Based on Damped Least-Squares Method and Gradient Projection Algorithm
Authors: Chen Sai-Xuan , Mu Sai-Hu , Jiang Guan-Wu
Published: June 2023

In order to solve the singularity problem of the Jacobian matrix in the numerical solution of the inverse kinematics of the 7-DOF line-driven manipulator (hereinafter referred to as the LDM7 manipulator), a new forward and inverse kinematics algorithm for the LDM7 manipulator was proposed. This paper first introduces the model design of the LDM7 manipulator. The manipulator consists of a 3-DOF shoulder joint, a 1-DOF elbow joint and a 3-DOF ball wrist joint. Then, the forward kinematics model of the manipulator based on the virtual coupled joints and the inverse kinematics model of the LDM7 manipulator based on the least damped square method and the gradient projection algorithm are established. Then, the simulation experiment of forward and inverse kinematics is carried out in this paper, and the simulation results verify the effectiveness of the algorithm. According to the kinematics model, the range of motion of the elbow joint and wrist joint is calculated, and the overall and local working space is obtained by Monte Carlo random sampling algorithm simulation. In addition, this paper verifies the inverse kinematics algorithm from four aspects, including the verification of the inverse kinematics algorithm based on coordinate points, the comparative experiment compared with the traditional algorithm, the comparative experiment of different optimization indexes λ, and the trajectory planning based on the helix equation. The experimental results show that the calculated inverse kinematics results are the most effective when λ=0.06, and the error can be controlled within 0.001. Based on the above derivation and experimental verification, it is shown that the inverse kinematics algorithm proposed in this paper not only effectively solves the singular value problem of the robotic arm with 7-DOF virtual coupling joints, but also reduces the error of the inverse kinematics results.
Ankle active rehabilitation based on Intent recognition
Authors: Zongxing Lu , Tian ChenHao , Dong Hui , Yao Ligang , Huang Haibin
Published: June 2023

Aiming at the problem that most of the current ankle rehabilitation robots lack active patient participation, this paper proposes an intention-aware ankle active rehabilitation method. A plantar pressure sensor on the 2-SPU/RR ankle robot collects pressure data and uses an support vector machine(SVM) classifier to process the data to sense the patient's movement intention, using principal component analysis to reduce the dimensionality in order to improve the speed of classification recognition. In the first step, the rehabilitation trajectory is predefined with reference to the physician's treatment advice. In the second step, active following movement guided by movement intention is achieved based on plantar pressure, and the patient's active trajectory data is recorded. In the third step, a rehabilitation evaluation model is established through the trajectory deviation data and other indicators to objectively assess the participants' ankle rehabilitation status and provide theoretical reference for the physicians' diagnosis. The experimental results showed that the proposed ankle active rehabilitation strategy was effective, and the rehabilitation evaluation model quantitatively analysed the participants' ankle functional status based on the recorded indexes, which provided a reference for the formulation of the next step of rehabilitation training.
The Impact of Individual Differences on Respiratory Healthcare for People with COPD: A Qualitative Study of Clinicians' Perspectives
Authors: Wong May-Kuen , Chien Shih-Ying
Published: June 2023

Chronic obstructive pulmonary disease (COPD) is characterized by persistent obstruction to airflow through the lungs and long-term respiratory symptoms. Apart from dyspnea, a critical characteristic of patients with COPD is an impaired capacity to exercise, which limits their ability to participate in daily activities and severely impacts their quality of life. To provide a precise and effective exercise prescription, it is necessary to translate exercise science into evidence-based recommendations for pulmonary rehabilitation (PR).
This study employed grounded theory methodology, and a series of semi-structured interviews were conducted with a convenience sample of 24 respiratory care professionals who had an average of 17 years of relevant clinical work experience and were currently providing pulmonary rehabilitation services to COPD patients. Interviews were transcribed verbatim, and analysis was undertaken to identify the following themes: (1) Summary of system design features of exercise prescriptions; (2) Assistive Devices and Considerations for Exercise Training; and (3) Physical activity and exercise monitoring for COPD patients discharged from hospital. Our findings indicate that the implementation of exercise training to enhance the exercise capacity of COPD patients is a complex process. Barriers associated with physicians contribute to the challenges in effectively implementing exercise training programs. These barriers emphasize the importance of precise measurement and monitoring of physiological parameters. Furthermore, it is crucial to consider individual differences, limitations in workplaces and medical resources, and the effective utilization of technology for continuous monitoring of patient recovery.
Measurement device-independent quantum key distribution with vortex vector modes under diverse weather conditions
Authors: Mafu Mhlambululi , Sekga Comfort
Published: June 2023

Most quantum key distribution (QKD) schemes exploiting orbital angular momentum (OAM) carrying optical beams are based on conventional set-ups, opening up the possibility of detector side-channel attacks. These optical beams also suffer from spatial aberrations due to atmospheric turbulence and unfavorable weather conditions. Consequently, we introduce a measurement device-independent (MDI) QKD implemented with vortex vector modes. We study the transmission of vector vortex and scalar beams through a turbulent atmospheric link under diverse weather conditions such as rain or haze. By utilizing the vector vortex beams, which has largely been ignored in the literature, we demonstrate that a maximum secure key transmission distance of 178 km can be achieved under clear conditions. When raindrops have a diameter of 6 mm and fog particles have a radius of 0.5 $\mu$m, the signals can reach 152 km and 160 km, respectively. Since these distances are comparable, this work sheds light into the feasibility of implementing MDI-QKD using vortex vector modes and opens the door to long-distance quantum secure communications.
Performance prediction of Different BCC Lattice Structures under Static Loading: An experimental approach.
Authors: Shah Sakshi Kokil , Sur Anirban , Shah Mohanish
Published: June 2023

Modern-era researchers are interested in searching for new durable and sustainable materials. Cellular structures are the novel solution which exhibits high strength. Micro lattice structures are systematically arranged structures with a high strength-to-weight ratio. Micro Lattice structures can be utilized widely as thermal insulators, energy, and vibration absorber in aircraft and automobile sectors. This study compares the mechanical characteristics of various BCC topologies that are frequently used today. Seven different types of cellular structures with different topologies viz. BCC, BCC enhanced, and BCCz, along with varied unit cell sizes and variations in strut diameter, were fabricated using SLS method. The primary cube was prepared as BCC (Body-Cubic Centered), BCC enhanced, BCCz type with 2×2×2 mm sizes. The SS316 metal was used for these initial cells because to its superior corrosion resistance and improved mechanical performance. These primary cells were repeatedly constructed with patterns in the three X, Y, and Z axes, resulting in total sample sizes of 20 × 20× 20 mm.FE analysis was performed using an FEA solver, and results were compared with experimental results. The result shows that BCCz exhibits superior mechanical properties, whereas BCC enhanced has more strength than regular BCC topology. The BCCZ showed a 62% rise in stress-carrying capacity compared to traditional lattice structure, whereas BCC enhanced showed the 22% rise in stress-carrying capacity. The consequence of size of unit cell is inspected for the outcome of lattices. The smaller unit cell lattice shows more significant yield stress for traditional BCC and enhanced BCC structure. Such a study can undoubtedly open doors for further research on the change in various topologies on the mechanical attributes of lattices under different loading conditions.
PhysNODE: Fusion of data and expert knowledge for modeling dynamical systems
Authors: Lettermann Leon , Jimenez Alejandro , Betz Timo , Wörgötter Florentin , Herzog Sebastian
Published: June 2023

Building a representative model of a complex system remains a highly challenging problem. While by now there is basic understanding of most physical domains, model design is often hindered by lack of detail, for example concerning model dimensions or its relevant constraints. Here we present a novel model-building approach – physNODE – augmenting basic system descriptions, based on expert knowledge in the form of ordinary differential equations, with continuous adjoint sensitivity analysis related to artificial neural network principles, based on observable data. With this we have created a general tool, that can be applied to any physical system described by ordinary differential equations. PhysNODE allows validating or extending the initial description, for example with different variables and constraints. This way one arrives at a better-optimised, representative lowdimensional model, which can fit existing data and predict novel experimental outcomes.
DDoS Attacks Detection and Classification based on Deep Learning Model
Authors: Ferhi W. , Moussaoui D. , Hadjila M. , Bouidaine A. , Bensenouci D.
Published: June 2023

The authors have requested that this preprint be removed from Research Square.
Advanced Approach towards Zero Waste: Modeling of Copper Recovery from e-Waste by Using Machine Learning Technique
Authors: Srivast Sunil Kumar , Shrivastava Rahul Kumar
Published: June 2023

E-waste contains significant proportions of hazardous materials, metals, and polymers, including toxic chemicals, which pose an enormous threat to contaminating the environment. This study promotes the concept of zero waste by recycling valuable metals from a scrap of e-waste. The recovery of precious metals like copper from e-waste is a challenging task, considering the selection of a suitable methodology and further optimizing the adopted methods. The recovery of precious metals and waste management through recycling hazardous waste can reduce the harmful impact of these chemicals on the environment. This study reveals an efficient methodology for the recovery of copper and further developed a model using the popular Machine Learning Technique. A model was developed using Machine Learning Techniques, Artificial Neural Networks (ANN), and Boosting Algorithm (BA). Boosting Algorithm preferred over ANN due to better results and high accuracy for predictability. Four variables (H2SO4, H2O2, Solid/Liquid ratio, and Reaction Time) were utilized in developing this model. The developed model results and findings will be valuable to copper recovery, e-waste management, and hazardous waste management. In addition, the proposed model can facilitate efficient automation of the copper recovery process at the industrial level.
Development and Analysis of Thick GaN Drift Layers on 200 mm CTE-matched Substrate for Vertical device processing
Authors: Filho Walter Gonçalez , Borga Matteo , Geens Karen , Cingu Deepthi , Chatterjee Urmimala , Banerjee Sourish , Vohra Anurag , Han Han , Minj Albert , Hahn Herwig , Marx Matthias , Fahle Dirk , Bakeroot Benoit , Decoutere Stefaan
Published: June 2023

This work reports the epitaxial growth of 8.5 µm-thick GaN layers on 200 mm engineered substrates with a polycrystalline AlN core (QST®) for CMOS compatible processing of vertical GaN power devices. The epitaxial stack contains a 5 \(\mu\)m thick drift layers with a Si doping density of 2x1016 cm− 3 and total threading dislocation density of 4x108 cm− 2. The thick drift layer requires fine-tuning of the epitaxial growth conditions to keep wafer bow under control and to avoid the formation of surface defects. Diode test structures processed with this epitaxial stack achieved hard breakdown voltages > 750 V, which is shown to be limited by impurity or metal diffusion from the contact metal stack into threading dislocations. Conductive Atomic Force Microscopy (cAFM) reveals some leakage contribution from mixed type dislocations, which have their core structure identified as the double 5/6 atom configuration by scanning transmission electron microscopy images. Modelling of the leakage conduction mechanism with one-dimensional hopping conduction shows good agreement with the experimental data, and the resulting fitting parameters are compared to similar findings on silicon substrates. The outcome of this work is important to understand the possibilities and limitations of vertical GaN devices fabricated on large diameter wafers.
Impact of lung cancer on health-related quality of life, financial toxicity and household economics in patients from the public and the private healthcare sector in Argentina
Authors: Augustovski Federico , Tsou Florencia , Gonzales Lucas , Martin Claudo , Vigo Silvina , Gabay Carolina , Alcaraz Andrea , Argento Fernando
Published: June 2023

Purpose:
Non-small cell lung cancer (NSCLC) is Argentina's first cause of cancer death. Most patients have an advanced stage at diagnosis, with poor expected survival. This study aimed to characterize the health-related quality of life and economic impact of patients treated in the private healthcare sector and compare it to that of the public sector.
Methods:
We undertook an observational cross-sectional study that extended a previous study to a referral private center in Argentina. Outcomes included the EuroQol EQ-5D-3L (to assess health-related quality of life), COST (financial toxicity instrument), WPAI-GH (to assess productivity loss), and out-of-pocket expenses in adults diagnosed with NSCLC.
Results:
We included 30 consecutive patients from a private healthcare center (July 2021 to March 2022), totaling 131 patients (N = 101 from previous public study). The whole sample had low quality of life, and relevant economic impact. Patients in the private healthcare sector showed lower disease severity, higher educational level and household income. In addition, private healthcare system patients showed higher utility (0.77 vs. 0.73; p = 0.049) and lower impairment of daily activities (41% vs. 59%; p = 0.014). Private health system patients showed also lower financial toxicity as measured by the COST score (23.9 vs. 20.14; p = 0.036) but showed no differences when financial toxicity was assessed as a dichotomic variable.
Conclusions:
Though patients with NSCLC treated in a private healthcare center in Argentina showed a significant health-related quality of life and economic impact, this impact was smaller than the one observed in publicly funded hospitals.
The Maker-Maker domination game in forests
Authors: Duchêne Eric , Dumas Arthur , Oijid Nacim , Parreau Aline , Rémila Eric
Published: June 2023

We study the Maker-Maker version of the domination game introduced in 2018 by Duchêne et al. Given a graph, two players alternately claim vertices. The first player to claim a dominating set of the graph wins. As the Maker-Breaker version, this game is PSPACE-complete on split and bipartite graphs. Our main result is a linear time algorithm to solve this game in forests. We also give a characterization of the cycles where the first player has a winning strategy.
Live-cell imaging of mouse preimplantation embryos using a simple closed glass capillary method
Authors: Kikuchi Yasuyuki , Ito Daiyu , Wakayama Sayaka , Ooga Masatoshi , Wakayama Teruhiko
Published: June 2023

Live-cell imaging is a popular method for analyzing mammalian preimplantation embryos, but it often requires expensive equipment and skilled techniques. We previously developed a simply and costly embryo-culture system in a sealed tube that does not require a CO2 incubator. In the present study, we developed a new live-cell imaging system using our previous culture method and a glass capillary. Zygotes were placed in a glass capillary and sunk in oil for observation under a stereomicroscope. Warming the capillary using a thermoplate enabled most of the zygotes to develop into blastocysts and produce healthy offspring. This live-cell imaging system captured images every 30 min for up to 5 days, which confirmed that the developmental speed and quality of the embryos were not affected, even with fluorescence. Overall, this new system is a reasonable, cost-effective, live-cell imaging method for preimplantation embryos that does not require dedicated machines and advanced techniques.
Correlates of Early Initiation of Breastfeeding Among Mothers in Western Region: Insight from the 2014 Ghana Demographic and Health Survey
Authors: Sackey Jonathan , Lokko Christiana , Lokko Francis , Arhin Rebecca
Published: June 2023

Background: According to the World Health Organization (WHO), initiation of breastfeeding (EIBF) within one hour of birth protects the newborn from acquiring infection and reduces newborn mortality. This notwithstanding there is anecdotal evidence that suggests that in some parts of Ghana, the practice of EIBF is affected by multiple factors which have not been well interrogated.
Hence the study assessed the determinants of early initiation of breastfeeding in the Western Region (WR).
Methods: The study explored the 2014 child file of the Ghana demographic and health survey (GDHS) data. The data was weighted and filtered by region (Western Region) and children 24 months or 0-23 months of age using the SPSS Version 20. A sample size of 257 children was obtained. Results were presented using frequencies, bivariate and binary logistic regression. Statistical significance was pegged at p<0.05
Results: The findings of this study indicate that maternal, paternal, household and community factors did not predict EIBF. However, initiation of EIBF in WR was predicted by the child and institutional factors. Female( and higher birth order children were less likely to be breastfed within 1 hour. However, average-size children and children whose mothers had high access to healthcare were more likely to be breastfed within 1 hour.
Conclusions: There is a high prevalence of early EIBF in the Western Region (78.2%). Nevertheless, Ghana Health Service must include in child health initiatives early EIBF policies targeting female and higher birth order children.
An HIV-1 Broadly Neutralizing Antibody Overcomes Structural and Dynamic Variation through Highly Focused Epitope Targeting
Authors: Hodge Edgar , Chatterjee Ananya , Chen Chengbo , Naika Gajendra , Laohajaratsang Mint , Prasad Vidya Mangala , Lee Kelly
Published: June 2023

The existence of broadly cross-reactive antibodies that can neutralize diverse HIV-1 isolates (bnAbs) has been appreciated for more than a decade. Many high-resolution structures of bnAbs, typically with one or two well-characterized HIV-1 Env glycoprotein trimers, have been reported. However, an understanding of how such antibodies grapple with variability in their antigenic targets across diverse viral isolates has remained elusive. To achieve such an understanding requires first characterizing the extent of structural and antigenic variation embodied in Env, and then identifying how a bnAb overcomes that variation at a structural level. Here, using hydrogen/deuterium-exchange mass spectrometry (HDX-MS) and quantitative measurements of antibody binding kinetics, we show that variation in structural ordering in the V1/V2 apex of Env across a globally representative panel of HIV-1 isolates has a marked effect on antibody association rates and affinities. We also report cryo-EM reconstructions of the apex-targeting PGT145 bnAb bound to two divergent Env that exhibit different degrees of structural dynamics throughout the trimer structures. Parallel HDX-MS experiments demonstrate that PGT145 bnAb has an exquisitely focused footprint at the trimer apex where binding did not yield allosteric changes throughout the rest of the structure. These results demonstrate that structural dynamics are a cryptic determinant of antigenicity, and mature antibodies that have achieved breadth and potency in some cases are able to achieve their broad cross-reactivity by “threading the needle” and binding in a highly focused fashion, thus evading and overcoming the variable properties found in Env from divergent isolates.
Research on point cloud hole filling and 3D reconstruction in reflective area
Authors: Sun Chao , Wang MeiYuan , Miao LongXin , Shi Jiuye , Ding JianJun
Published: June 2023

3D reconstruction is the process of obtaining the three-dimensional shape or surface structure of an object, which is widely used in advanced manufacturing fields such as automotive, aerospace, industrial inspection, and reverse engineering. However, due to the structural characteristics of the component itself, the reflective properties of the coating material, and other factors, there may be specular reflection during image acquisition, making it difficult to achieve complete 3D reconstruction of the component. This paper proposes a method to address the problem of incomplete 3D reconstruction of strongly reflective objects by recognizing outlier points and filling point cloud holes. The proposed View-Transform-PointNet outlier point recognition network improves the alignment of the initial point cloud plane and implements secondary alignment of the point cloud based on the perpendicularity between the outlier plane in mixed reflection and the point cloud plane. The point cloud hole-filling method is based on the principle of outlier formation and approximates a local Gaussian distribution to linear variation. The distance between the end of each outlier plane and the real surface is calculated to repair the depth information of outlier points. The proposed method achieves a 39.4% increase in the number of point cloud filling, a 45.2% increase in the number of triangular mesh faces, a 46.9% increase in surface area, and a chamfer distance (CD) of 0.4471009, which is better than existing geometric repair methods in terms of standard deviation and smoothness. The method improves the alignment of initial point cloud planes and enhances the accuracy of outlier point recognition, which are the main innovative points of this study. The 3D reconstruction of the repaired point cloud model is achieved through Poisson equation and parameter adjustment. The proposed method reduces the error caused by large curvature in the boundary region and improves the smoothness and accuracy of the reconstructed model.
Identification, Characterization and gene expression of ZIP gene family in Phaseolus vulgaris
Authors: Dharmesh Varsha , Bharti Mahesh Kumar , Kumar Pankaj , Singh Jitender
Published: June 2023

The common bean (Phaseolus vulgaris) has recently gained popularity as a dietary supplement substitute for enhancing human health. Humans need nutrition on a basic level; however, many people still struggle to meet their Zn and Fe requirements. In plants the uptake, transport, and accumulation of microelements (Zn and Fe) are significantly regulated by the ZIP transporter. Here, we present information on the ZIP gene of metal transporters inPhaseolus vulgaris. ZIP gene was identified through PCR which resulted of 133bp and sequence of ZIP gene having 235bp, was submitted to NCBI with accession no. MH845642 after BLAST analysis. The resulted sequence was further analysedIn-silicoviz. BioEdit, Mega5 and a phylogenetic tree was constructed. The expression level of ZIP gene was measured by Q-PCR using cox gene as an internal control. Different expression levels were obtained for 3, 6, and 12hrs time periods of exposure to zinc treatment at different concentrations 100 mM, 150 mM and 200 mM respectively. The relative expression of treated and untreated (control) ofP. vulgariscotyledons was calculated using BioRad IQ-5 software. OverallZIPgenes expression was highest at 200 mM for 12 hr (3.5fold) followed by zinc treatment at 200 mM for 6 hr (2.3fold) and lowest at 150 mM for 3hr (0.5fold). This study systematically analysed the gene structure, expression profiles, regulatory network, and the biological function of the ZIP family inPhaseolus vulgarisL., providing better understanding of the regulatory roles of ZIP genes and contributing to improve nutrient quality of crops.
The First Steklov Eigenvalue on Infinite Subgraphs of Integer Lattices
Authors: CHEBBI Yassin
Published: June 2023

In the context of transient graphs, we study the first Steklov eigenvalue σ0(Ω) of an infinite subgraph with finite boundary (Ω, B) of the integer lattice Zn. We focus in this paper on finding lower bounds using the technique of discretization of smooth compact Riemannian manifolds with cylindrical boundary. These bounds essentially depend on the discretization of the sphere Sn ⊂ Rn+1 with two identical boundaries’ isometrics to {1} × Sn−1 through quasi-isometries. As a consequence, if n ≥ 4 and the boundary B considered as a finite subset of Zd where 1 ≤ d ≤ n − 3, we show that σ0(Ω)|B| 1/n−1 tends to infinity as the cardinal of B tends to infinity. Moreover, if n ≥ 3 and the boundary B is a sphere, we prove that the first Steklov eigenvalue tends to zero proportionally to 1/|B| 1/n−1 as the radius tends to infinity and that σ0(Ω)|B| 1/n−1 is bounded.
2010 Mathematics Subject Classification. 39A12, 05C63, 47B25, 05C12, 05C50.
Multi-qubit teleportation and multi-bit superdense coding via cascade splitting
Authors: Mastriani Mario
Published: June 2023

In this study, we present a simplified version of the quantum teleportation protocol for n-qubits and a generalized version of the superdense coding protocol for n-bits; in both cases, thanks to the cascade splitting technique. Both protocols will be analyzed on three notably different platforms: Quirk simulator, IBM QASM simulator of the IBM Q Experience program, and an optical table. The experiments on the three platforms show the excellent performance of both protocols. Finally, an analysis, about the immunity of these protocols in the presence of an eavesdropper is incorporated.
Optimization of Time Dependent Fuzzy Multi-Objective Reliability Redundancy Allocation Problem for n-Stage Series Parallel System
Authors: De Satyajit , Roy Pratik , Roy Siddhartha , Chowdhury Anil Bikash
Published: June 2023

This study introduces a time dependent fuzzy multi-objective reliability redundancy allocation problem (TF-MORRAP) for the $n$-stage (level) series parallel system. System reliability maximization and system cost minimization according to time by optimizing the redundant components counting at every stage of the system is the main objective of this study. This optimization is done by satisfying the entropy constraints with limited redundant components at every stage and in the whole system. The reliability and cost of every component are represented as triangular fuzzy numbers (TFN) to handle the uncertainty of input information of the system. According to time the component reliability and cost decrease by some factor of their previous existing value. This factor follows the change in the length of radius of the inverse logarithmic spiral with respect to angle which is regarded as time here. The proposed problem is analysed by using an over-speed protection system of a gas turbine. We compare the membership values of optimal solutions obtained by using two well-known techniques namely Non-dominated sorting genetic algorithm-II (NSGA-II) and a multi-objective particle swarm optimization algorithm called NF-MOPSO. Various performances of the algorithms are compared to solve the aforementioned problem by using some performance metrics. NF-MOPSO shows the high satisfaction level of objective functions and better performance than NSGA-II.
Remote Side-Channel Analysis of the Loop PUF Using a TDC-Based Voltage Sensor
Authors: Probst Matthias , Tebelmann Lars , Wettermann Moritz , Pehl Michael
Published: June 2023

FPGAs promise significant performance improvements for several computations in cloud applications. However their shared use in multi-tenant scenarios makes them susceptible for attacks. Different fromclassical scenarios, where the attacker has hardware access to the device, in cloud scenarios the attackis possible only from remote. As a consequence remote SCA attacks gained increasing attention inthe last years. These attacks exploit that attacker and victim share with the same FPGA also thesame PDN so that operation dependant voltage fluctuations caused by the victim’s IP are observableby a voltage sensor of the attacker. While previous attacks in this domain focused on cryptographicalgorithms, this work provides insights in an attack on a PUF primitive, the Loop PUF. This primitiveis an interesting target for the attack since it might be used, e.g., for storing or deriving secret keyson a remote FPGA. We introduce and discuss the setup of such a remote SCA using a TDC-basedvoltage sensor. With this sensor, we compare the performance of classical and remote SCA attackson the Loop PUF using two different Artix-7 FPGAs and demonstrate and discuss findings regardingsampling frequency and placement. This work extends and deepens the analysis from a previously published analysis at the ASHES Workshop 2022. In particular it provides insights into the influenceof repeated measurements, measurement time, and usage multiple TDCs on the attack performance.It also discusses the applicability of the attack to further RO-based PUF primitives. Overall the resultshow that remote SCA attacks on PUFs in a multi-tenant FPGA scenario have to be considered as asevere attack vector in the future.
Es war so schön, und niemand hat’s gesehn: Frühling im leeren, geschlossenen Palmengarten während der Corona-Krise.
Authors: Steinecke Hilke
Published: June 2023

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Schwebfliegen im Palmengarten und Botanischen Garten Frankfurt
Authors: Steinecke Hilke , Schmidt Marco
Published: June 2023

Schwebfliegen (Syrphidae) sind wichtige Bestäuber für unsere heimische Pflanzenwelt. Sie stechen nicht, sind aber oft schwarz-gelb gefärbt wie stechende Wespen oder Bienen und deshalb ein gutes Beispiel für Mimikry. In unseren Gärten kommen verschiedene Arten vor. Nicht alle lassen sich anhand von Fotos sicher bestimmen. Einige auffällige Arten und ihre Bedeutung als Bestäuber werden hier kurz vorgestellt.
Quality analysis of prescriptions of polymyxin B in a high-complexity public hospital
Authors: Motta Paula Perdigão , Silveira Lívia Pena , Groia-Veloso Ronara Camila de Souza , Clemente Wanessa Trindade , Martins Maria Auxiliadora Parreiras
Published: June 2023

Objectives: The study proposed to evaluate the quality of polymyxin B prescription in a Brazilian high-complexity public teaching and reference hospital. Methods: This study of drug use describes the medical prescription habits, with the retrospective collection carried out with critically ill patients using polymyxin B. The dose by weight for each patient's first prescription was calculated from the Infectious Diseases Society of America (IDSA) guideline to assess the loading dose adequacy. The glomerular filtration rate (GFR) was estimated to evaluate the adequacy of the dose prescribed at the onset of treatment, based on the Kidney Disease – Improving Global Outcomes (KDIGO). Results: 346 prescriptions were analyzed, representing 259 patients. Only 61 (17.6%) included a loading dose of polymyxin B. On the other hand, no adjusted doses were identified in 147 (73.1%) prescriptions for patients whose GFR range requires renal adjustment. A total of 438 cultures were analyzed, and 97 carbapenem-resistant GNB were selected for the study (22.2%). A loading dose was identified in only 13 (13.4%) of these prescriptions, and 80 (82.5%) prescriptions had no dose adjustment by renal function. The prevalent microorganism was Klebsiella pneumoniae (70 [16.0%]). Conclusion: The study identified high rates of non-compliance with the protocol for using polymyxin B concerning the loading dose and a high percentage of cases in compliance with the protocol regarding the nonindication of renal adjustment. The development of institutional clinical protocols and the performance of the ASP team are critical to rationalizing the use and avoiding unsatisfactory clinical and microbiological results.
Artyści walczą. Jak wojna w Ukrainie zmieniła ukraińską kulturę
Authors: Meniok Dmytro
Published: June 2023

Artyści działający na „froncie kulturowym” każdego dnia ciężko pracują, aby przybliżyć zwycięstwo Ukrainy – zarówno ci z karabinem w ręku, jak i ci z mikrofonem czy z pędzlem i przed monitorem komputera. „Front kulturowy” wspiera Ukraińców w chwilowym odpoczynku od wojennych wiadomości. Daje wiarę w zwycięstwo, pomaga odreagować smutek, gniew, złość, stres czy też apatię, ale też zapewnia rozrywkę. Ponadto jest narzędziem przypominania o wojnie społeczności międzynarodowej. Muzyka, plakat, film, wiersz czy wspólny występ ulubionej gwiazdy z ukraińskim artystą sprawiają, że ten temat wciąż ma oddźwięk – wsparcie dla Ukrainy jest wciąż odczuwalne. Tekst ukazuje rolę sztuki w życiu walczącej Ukrainy po 24 lutego 2022 r.
Relacja z I Interdyscyplinarnego Kongresu Badań nad Cmentarzami
Authors: Skrodzka Agnieszka
Published: June 2023

Relacja z I Interdyscyplinarnego Kongresu Badań nad Cmentarzami
What are you reading?
Authors: Verhoeven Emma , Buyst Nele , Atwater Sara , Kenis Daan , Struyf Joke , Meinen Lisanne , Walters Isabel , Wallaert Sigrid
Published: June 2023

What are you reading?
Кремниевые решетки с блеском для мягкого рентгеновского и экстремального ультрафиолетового излучения: влияние формы профиля штриха и случайной шероховатости на дифракционную эффективность
Authors: Горай Л.И. , Шаров В.А. , Мохов Д.В. , Березовская Т.Н. , Шубина К.Ю. , Пирогов Е.В. , Дашков А.C. , Буравлев А.Д.
Published: June 2023

The effect of the groove profile shape and random roughness of the reflecting facet of five silicon diffraction gratings (1°-4° blaze angle, period 0.4, 1.4, 2, and 4 μm, various coatings) operating in the soft X-ray and extreme ultraviolet radiation ranges on the outflow of the diffraction efficiency from working orders is studied. Diffraction gratings were fabricated by wet etching of Si(111) vicinal wafers and characterized by atomic force microscopy to determine the shape of the groove profile and roughness. The diffraction efficiency of gratings operating in classical and conical diffraction mounts was calculated based on realistic groove profiles by computer simulation using the PCGrateTM code and taking into account the scattering intensity using Nevot-Croce or Debye-Waller corrections or using the Monte Carlo method (rigorously). The effect of the groove profile shape and roughness on the diffraction efficiency of the fabricated Si gratings is shown.