bluuebunny/crossref_metadata_2025 huggingface dataset:
Applying Machine Learning to Study the Marketing Mix's Effectiveness in a Social Marketing Context
Authors: Xia Sibei , Liu Chuanlan
Published: November 2022

This study examines the effectiveness of the marketing mix practiced on Twitter across high-end and low-end fashion brands and explores whether any four Ps activities have changed across the different pandemic stages. A quantitative research method was designed to analyze text data scraped from identified fashion brands' Twitter accounts. A classification instrument was developed to group tweets based on the four Ps marketing mix. Then the developed instrument was applied to a small set of 145 tweets randomly sampled from the collected data. Logistic regression models were then trained using the sample set to predict four Ps activities on all the collected 144k tweets. The numbers of likes per tweet and frequencies of being retweeted per tweet were used to measure engagement effectiveness across brands.
Do Masculinity and Femininity Matter?
Authors: Guo Yuanyuan
Published: November 2022

The existing literature primarily focuses on the internal factors of administrative organizations to carry out e-government research. However, the effect of culture on the e-government website penetration level has not yet received as much attention as it deserves in the world of e-government research. This paper conducts research based on Hofstede's cultural model and uses AMOS 23.0 to construct the second-order factor structural equation model (SEM) to analyze the data. The results of Hofstede show significant differences in masculinity and femininity culture between China and South Korea. This dimension may reveal the influence of culture on the citizens' needs for using e-government services. Therefore, this paper discusses whether these cultures influence Chinese and Korean e-government website penetration levels or not. Moreover, this paper puts forward constructive suggestions to the government in view of culture. In developing e-government, the government should provide e-government services that conform to the culture and citizens' needs.
Technical-Economic Feasibility Study of a Tri-Generation System in an Isolated Tropical Island
Authors: Domingues Nuno , Costa Jorge Mendonça , Paulo Rui Miguel
Published: November 2022

Over the years, and despite the energy efficiency measures and possibilities, there has been an increase in energy consumption worldwide. However, the resources and primary energies are limited and short stocked, and the energy production technologies have environmental and social impacts on production and exploration. One alternative is to reuse the energy waste in the processes. In this study, a trigeneration system in a large scale out of grid consumption is analyzed and a technical-economic feasibility is elaborated. The case study is based on an isolated tropical island. For the baseline scenario, two traditional energy production systems that does not contain energy recovery in the engines are assumed to be implemented. For the improved scenario, a trigeneration system absorption chiller is analyzed. An economic analysis of this project was given the indicators obtained, it was possible to conclude that the use of a trigeneration system on an isolated large scale out of grid energy consumption system, is feasible and preferable.
Improving the ANFIS Forecating Model for Time Series Based on the Fuzzy Cluster Analysis Algorithm
Authors: Pham Dinh Toan , Nguyenthihong Dan , Vovan Tai
Published: November 2022

This paper proposes the forecasting model for the time series based on the improvement of the adaptive neuro-fuzzy inference system (ANFIS) method and the fuzzy cluster analysis (FCA) algorithm. In this model, (i) the authors firstly find the appropriate number of groups for the series. Then, (ii) this study determines the specific elements for each group based on the established fuzzy relationship. Finally, using the results of (i) and (ii) as the input variables, the authors improve the iterations of ANFIS method. Combining the above improvements, the efficient forecasting model for time series is proposed. The proposed model is illustrated step by step through a numerical example, and implemented rapidly by the established Matlab procedure. The experiment obtained from this model shows the outstanding advantages in comparison with the existing ones. This research can be applied well to forecast for many fields in reality.
Intelligent Fault Diagnosis for Bridge via Modal Analysis
Authors: Zhuang Wenjun
Published: November 2022

Due to natural disasters and man-made reasons, bridges are prone to structural damage during long-term usage, which reduces the associated carrying capacity, increases natural aging, and reduces safety. It is urgent to monitor the health status of bridge structure via intelligent technology. This paper proposes a bridge fault recognition structure. First, the signals of bridge parameter are collected by using distributed sensors. Then, the collected signals are processed by signal processing to extract the features in time and frequency domain. Lastly, the extracted features are used to learn an intelligent classifier. The large margin distribution machine is adopted as a classification model. The experimental results have proven the feasibility of the proposed bridge fault recognition structure.
A Hybrid Machine Learning Approach for Credit Card Fraud Detection
Authors: Gupta Sonam , Varshney Tushtee , Verma Abhinav , Goel Lipika , Yadav Arun Kumar , Singh Arjun
Published: November 2022

The online banking system is the new trend in the developing digital world. The transferring of a large amount of currency in a millisecond is leading to fast accessing of the banking system as it saves more time at the online payment and digital shopping. The increase in rate of use of banking credit and debit card leads to a large amount of fraud in the field of finance. Machine learning has the new discovering faces in the field of the finance. So, this research work proposed a hybrid model using the logistic regression, multilayer perceptron, and the XgBoost. The study involves both the balance and imbalance dataset to conclude the result based on the accuracy precision and recall. The results show that accuracy of the model is 100%, and precision, recall, and F1-scores are 95.63%, 99.99%, and 97.76% respectively.
Detecting Community Structure in Financial Markets Using the Bat Optimization Algorithm
Authors: Aggarwal Kirti , Arora Anuja
Published: November 2022

A lucid representation of the hidden structure of real-world application has attracted complex network research communities and triggered a vast number of solutions in order to resolve complex network issues. In the same direction, initially, this paper proposes a methodology to act on the financial dataset and construct a stock correlation network of four stock indexes based on the closing stock price. The significance of this research work is to form an effective stock community based on their complex price pattern dependencies (i.e., simultaneous fluctuations in stock prices of companies in a time series data). This paper proposes a community detection approach for stock correlation complex networks using the BAT optimization algorithm aiming to achieve high modularity and better-correlated communities. Theoretical analysis and empirical modularity performance measure results have shown that the usage of BAT algorithm for community detection proves to transcend performance in comparison to standard network community detection algorithms – greedy and label propagation.
Crowdsourced Document Summarization as a Support for Research Publication
Authors: Askratni Ouassila , Mostefai Sihem
Published: November 2022

Understanding large amounts of online research works is extremely complex and time-consuming nowadays. The European and scientific commissions have recently highlighted the importance of implementing a research data management system in higher education institutes which combines technical as well as organizational solutions. In this paper, a semi-automated crowdsourcing approach is proposed to engage humans in the summarization task of scientific data. Semantic wiki technology is used to enable self-organization of crowdworkers and collaboration between them. In order to deal with these problems, the analysis and summarization of research findings is a task that can be outsourced to a crowd of researchers. A scientific data ontology and a crowdsourcing approach are proposed. They represent the main aspects of a collaborating research community that exploits data crowdsourcing to derive state of the art and/or survey reports. It is designed to fit the requirements for a quality report reflecting a timely tracking of research progress in a given domain
GCN-Based Structure-Activity Relationship and DFT Studies of Staphylococcus aureus FabI Inhibitors
Authors: Veríssimo Gabriel Corrêa , Junior Valtair Severino dos Santos , Fernandes Philipe Oliveira , Ishida Shoichi , Kojima Ryosuke , Okuno Yasushi , Gertrudes Jadson Castro , Maltarollo Vinicius Gonçalves
Published: November 2022

The enoyl-[acyl-carrier-protein] reductase (FabI) is an important enzyme in the fatty acid metabolism of Gram-positive bacteria, such as Staphylococcus aureus. FabI is also a potential target for the development of novel antibacterials. Several machine learning-driven studies were reported to develop FabI inhibitors, describing robust and predictive models. Herein, the authors applied the kGCN, a graph convolutional network framework, to generate classification models to select potential S. aureus FabI inhibitors. The most predictive model showed robustness for both active and inactive class prediction, according to statistical validation. Finally, the chemical interpretation of the model was consistent with prior experimental and theoretical works. The SAR analysis highlighted the importance of the occupation of hydrophobic pockets and polar interactions with Tyr-156 and NADPH cofactor present in the FabI catalytic site by potential inhibitors. A density functional theory study endorsed the SAR, where the electrostatic surfaces were consistent with the expected interactions with the pocket.
Evaluating the Efficiency of Student Sports Training Based on Supervised Learning
Authors: Kewei Song , García Díaz Vicente , Kadry Seifedine Nimer
Published: November 2022

The empirical evaluation of the success of a participant is critical for a thorough assessment of sporting events. Evaluating students' efficiency or scripting in sports is limited, even if skilled experts do it. In this paper, support vector machine-assisted sports training (SVMST) has been proposed to evaluate student sports efficiency. Sports training prototypes are based on different criteria that participate in the matches, traditional game statistics, person quality measures, and opposing data. The success of students is divided into two grades: moderate and large. The primarily supervised learning-based classification method is used to create a template for identifying student sports training efficiency. SVM implements learning methods, data collection methods, effective model assessment methods, and particular difficulties in predicting sports performance. The experimental results show SVMST to high student performance of 98.7%, a low error rate of 9.8%, enhanced assessment ratio of 97.6%, training outcome of 95.6%, and an efficiency ratio of 96.8%.
Pattern of incidence in Guillain-Barre syndrome admitted to Teaching Hospital, Galle, Sri Lanka from 1995 to 2000
Authors: Pathirana K. D. , Hewage C.
Published: November 2022

Guillain-Barre syndrome (GBS) is the commonest cause of acute flaccid paralysis in Sri Lanka. Annual incidence of GBS in Sri Lanka is not known. The aim of this study was to find out the incidence of GBS in administrative district of Galle, Sri Lanka based on hospital records. Method: We conducted a retrospective analytical study to find out the incidence and epidemiological patterns of GBS in patients admitted to Teaching Hospital Galle (THG). We scrutinized the case notes of all the patients categorized G 61.0 of 10th Edition of International Classification of Diseases Classification, from 1995 through 2000. The cases fulfilling NINCDS criteria for GBS were included in the study. We excluded the patients referred from other districts for calculation of the incidence of GBS in Galle. Official population statistics and the regional rainfall recorded in the meteorological department were used for analysis. Results: There were 114 patients fulfilling the inclusion criteria over the study period. Seventysix patients were from Galle District and 54% were males. The age distribution showed a bimodal pattern with peak incidence in 10-19 age group and a smaller peak in 30-39 age group. Number of cases from Galle District reported in years 1995 to 2000 was 8, 16, 15, 18, 8 and 11 respectively. This is equivalent to a crude incidence of 0.8, 1.6, 1.5, 1.8, 0.8 and 1.1 per /100,000 population for each year respectively considering the mean population of 1.04 million. Mean crude incidence for the study period was 1.26 per 100000. Seasonal variation with clustering following high rainfall was seen in years 1996, 1997 and 1998. Identified preceding illnesses recorded in the notes were upper respiratory tract infection in 22.7%, diarrhoea in 14%, varicella in 8% and non-specific viral infection in 14%. Conclusion: The mean incidence of GBS in Galle District is 1.26 per 100,000 population with a range of 0.8 to 1.8 over the study period. The age distribution and seasonal variation are different from those reported from many other countries. The clinical features and preceding illness were similar to those described in other series.
Stroke mimics in the era of thrombolysis
Authors: Arasalingam A. , Sturman S. G.
Published: November 2022

Stroke thrombolysis has emerged as a valuable treatment for acute ischaemic stroke in the first 4.5 hours after symptom onset. The need for rapid initiation of treatment and the small but inherent risk of life-threatening side effects requires a high degree of diagnostic accuracy with only limited time for investigation. It is widely recognized that a significant proportion of patients presenting with “stroke-like” symptoms will in fact have an alternative diagnosis – so called stroke mimics. There has been anxiety that wrongful treatment of stroke mimics could be harmful. This paper reviews the published data on the incidence of stroke mimics and the outcome of thrombolysis in these cases. We conclude that the risk of adverse outcomes from thrombolysis in these cases appears to be minimal on the available evidence and is certainly significantly less than the potential harm that could result from denial of, or delay in administration of thrombolytic therapy.
Redefining transient ischaemic attack
Authors: Chang Thashi
Published: November 2022

No abstract available
Leigh syndrome responsive to vitamin therapy
Authors: Dalpatadu K. C. S. , Ratnayake P. D. , Punchihewa P. M. G.
Published: November 2022

We report a case of Leigh syndrome in a girl aged four years and eight months who presented to us with progressive ptosis and worsening ataxia with frequent falls on a background of development delay. The clinical profile, biochemical analysis and MRI findings were consistent with a diagnosis of Leigh syndrome. Her clinical course was that of infantile onset, mild, slowly progressive form. She was given multivitamin supplement aiming to provide high dose thiamine and showed a remarkable response with disappearance of ptosis and marked improvement in function in the speech domain and motor skills.
Multi focal motor neuropathy presenting as acute quadriparesis – acute multifocal motor neuropathy (AMMN)
Authors: Ranasinghe L. D. , Sarathchandra R. D. N. C. , Kulathunga Aruna , Gunasekera Sudath , Senanayake Bimsara
Published: November 2022

No abstract available
Rapidly progressive multifocal motor neuropathy with a dramatic response to therapy
Authors: Dilhani P. D. W. , Pathirana K. D.
Published: November 2022

We report a young female with multifocal motor neuropathy (MMN) who had unusually rapid progression involving both distal and proximal weakness, which responded dramatically to treatment, without any relapses up to now.
Two patients with neuromyelitis optica but contrasting clinical courses
Authors: Chang Thashi , Riffsy M. T. M. , Gunaratne Padma S.
Published: November 2022

Neuromyelitis optica (NMO) is an idiopathic, relapsing, demyelinating disease of the central nervous system that preferentially affects the optic nerve and spinal cord. Diagnostic criteria for definite NMO require optic neuritis, myelitis, and at least two of three supportive criteria: onset brain MRI non-diagnostic of MS; spinal cord lesion extending over 3 or more vertebral segments; or seropositive for NMO-IgG. We report two Sri Lankan patients who fulfil the above diagnostic criteria but have contrasting clinical courses over a 4-year follow-up period. The NMOIgG seropositive patient demonstrated a more severe, relapsing disease course whilst the seronegative patient did not relapse despite not being on long-term immunosuppressive therapy. Given that para-infectious NMO is often monophasic and seronegative, discerning guidelines in recommending maintenance immunosuppression in NMO is required particularly in settings where incriminatory infections are prevalent.
Intracavitary fibrinolysis directly under vision during medical thoracoscopy: a case report
Authors: Stirpe Emanuele , Bardaro Floriana , Köhl Johanna
Published: November 2022

Medical thoracoscopy is a minimally invasive single-port endoscopic technique that allows for direct visualization of the pleural surface as well as diagnostic and therapeutic procedures. When fibrous adhesions are extensive, its utility is limited. In patients with malignant pleural effusion and loculated effusion, fibrinolytics have been used through chest drainage to break down septations to relieve breathlessness and to improve pleurodesis success We described the use of intrapleural fibrinolytics during a medical thoracoscopy to break the septations and perform pleural biopsies in a patient with multiloculated pleural effusion. To the best of our knowledge, no studies on this subject have been published in the literature, only case reports. We believe that direct instillation of fibrinolytics during medical thoracoscopy is safe and has the potential to increase both the therapeutic and diagnostic capacity of medical thoracoscopy and fibrinolysis.
Predictors of post-COVID syndrome. Getting ready for the future
Authors: Costa Rita , Esquinas Antonio
Published: November 2022

Dear Editor,
We have read with interest the study by Gulian et al.  where the authors describe the impact of prolonged symptoms or developing complications following an initial recovery from COVID-19, also called post-COVID syndrome. In this aspect there are a small amount of studies based on clinical extrapolation....
Willem Sterrenberg Prinsloo gesien deur die oë van 'n kollega
Authors: Vosloo W.
Published: November 2022

Willem Sterrenberg Prinsloo seen from the viewpoint of a colleague: The sudden and tragic death of Professor W S Prinsloo raises many questions that cannot be answered. However, he should be remembered for the huge contribution he has made in the field of Old Testament studies in South Africa. As editor of this journal he was outspoken about the necessity that church and university, theology and science need one another and that theologians are scientific in their research even though it is done from an ecclesiastical viewpoint. As dean he combined strictness with empathy and as a preacher he integrated solid exegesis with spiritual dedication.
Worstel met God: Argumenteringstrategieë en hul sosio-retoriese funksie in Psalm 13
Authors: Coetzee J.
Published: November 2022

Wrestle with God. Argumentation strategies and their socio-rhetorical function in Psalm 13: The psalm is approached from the assumption that it was prayed loud in public in order to be overheard by friend andfoe alike. The argumentation strategies in the prayer are investigated and their function in the rhetorical situation exposed. The prayer has both a socio-rhetorical and a religiorhetorical function, the lalter which is of primary importance.
Quest for Justice as Reconciliation of the Poor and the Righteous in Psalms 37,49 and 73
Authors: Irsigler H. , Author Guest
Published: November 2022

The typical antithesis of the wicked and the righteous emerges in different literary works of post-exilic Israel. It is frequently combined with the motif of the shalom of the (rich and) wicked. Their fortune provokes enry and very serious challenges for the faith of those who understand themselves as the poor and the righteous. The heavy social crisis in the Persian period of the 5th and 4th century BC as well as the crisis of wisdom in this time appears as a global background of this topic. My paper examines the pursuit of justice, ie of God's justice and of the fulfilment of the frustrated religiously legitimated expectations of fortune, in the Psalms 37, 49 and 73. The intention is to realize the conflict situation presupposed by the texts and to profile the specific strategies and purposes of overcoming the conflict. The quest for justice doesn't intend a reconciliation of the poor and the rich or the wicked and the righteous. However, it leads to a "reconciliation" of the tempted pious, to a new trust in YHWH, to a new hope, and to a renewed capability of communal life.
The message of a number Psalms as interpreted in Syriac Psalm headings
Authors: Van Rooy H. F.
Published: November 2022

Following the view of Theodore of Mopsuestia, the translator(s) of the Peshitta Psalter did not accept the historicity of the headings of the Psalms in the Hebrew Psalter. In some manuscripts the Peshitta Psalms do not have headings at all, while in other manuscripts headings are supplied. This paper makes a few remarks on the study of the headings of the Psalms in Syriac and discusses the headings of a number of Psalms in different Syriac traditions, with special attention to the headings in the Syriac manuscript 12t4. These headings can be regarded as a summary of the exegesis of the particular Psalm and they represent different schools of exegetes with widely different interpretations of most of the Psalms.
Competence kinetic and thermodynamic studies between natural bio-adsorbent green microalgae and synthetic adsorbent magnetic nanoparticles for copper(II) ion in water
Authors: Ibrahim Hamadamin Shireen , Saaduldeen Anwer Sewgil , Hassan Sdiq Kwestan , Mohsin Abdulkareem Parween
Published: November 2022

ABSTRACT. The present work investigated the kinetic and thermodynamic study of adsorbents to remove copper ions from aqueous solutions and compared the efficiency between the natural microalgae bio-adsorbent chlorella species (sp.) and synthetic magnetic nanoparticles. All materials synthesized and characterized by Fourier transform infrared (FT-IR), scanning electron microscope (SEM), energy dispersive X-ray (EDX). The highest Cu+2 ion adsorption for the copper solution at 100 mg/L was 57.2%, while at pH 8 it was 59.7%. The more efficient adsorbent for Cu+2 acquired by chlorella was 0.24 mg/g. The second-order kinetic model is fitted, the activation energy (Ea) for the three adsorbents; Chlorella, Fe3O4, (Fe3O4 coated with SiO2) were 95.24, 40.69, 20.39 kJ/mol, respectively indicating the adsorption process is slower than the magnetic nanoparticles. Enthalpy activation changes (ΔH#) were endothermic and showed that the adsorption of the Cu+2 on the chlorella was chemisorption and on the magnetic nanoparticles was physisorption. Entropy change of activation (ΔS#), and activation Gibbs free energy change (ΔG#) showed that adsorption process of Cu+2 on the three adsorbents was feasible and spontaneous in temperature range 293-313 K. The novelty of this work is to determine the type and efficiency of adsorption of algae and nanoparticles.

 

KEY WORDS: Adsorption, Kinetic models, Thermodynamic studies, Chlorella species, Magnetic nanoparticle, Efficiency percent

Bull. Chem. Soc. Ethiop. 2023, 37(1), 183-196.                                                               

DOI: https://dx.doi.org/10.4314/bcse.v37i1.15
Investigation of lead removal from aqueous solutions using modified natural clay: Kinetics and thermodynamics approaches
Authors: Ekmekyapar Torun Fatma , Kısacıkoğlu Raziye
Published: November 2022

ABSTRACT. In this study, the natural clay was modified and removal of Pb2+ ions synthetically prepared aqueous solutions using this modified clay was investigated. The parameters affecting the adsorption efficiency were examined in the study. In the result of studies, the suitability of the adsorption data to classic adsorption models, and adsorption kinetics were determined. In the experiments, it has been determined that pH 5 provides optimum removal conditions of adsorption and adsorption reached equilibrium in approximately 15 min. The highest removal efficiency was found to be 82.13% with the addition of 3 g L-1 adsorbent at a stirring speed of 200 rpm. As the lead concentration of the wastewater increases, the amount of lead retained per dry unit weight of the modified natural clay also increases. Experimental data showed that Pb2+ removal was consistent with Temkin adsorption model. Calculated thermodynamic constants showed that adsorption is exothermic and physical.

 

KEY WORDS: Adsorption, Isotherm, Lead removal, Natural clay, Thermodynamic constants

Bull. Chem. Soc. Ethiop. 2023, 37(1), 231-244.                                                                

DOI: https://dx.doi.org/10.4314/bcse.v37i1.18
Polyaniline-tin(IV) molybdophosphate composite exchanger: Photocatalytic behavior and antibacterial activitiy
Authors: M. Taddesse Abi , Assefa Sime Belayneh , Kebede Tessema Tesfahun
Published: November 2022

ABSTRACT. Polyaniline-tin(IV)molybdophosphate composite exchanger was prepared using sol–gel method by mixing polyaniline gel into the inorganic precipitates of tin(IV)molybdophosphate. The composite ion exchanger was characterized by various techniques such as XRD, UV-Vis, FTIR, SEM-EDX, and PL. Photocatalytic activities and antibacterial efficiencies of the bare polymer polyaniline (PANI), the inorganic exchanger tin(IV)molybdophosphate (TMP) and the composite polyaniline-tin(IV)molybdophosphate (PANI-TMP) were evaluated using methylene blue (MB) dye as a model organic pollutant and Gram negative and Gram positive bacteria as test microbes, respectively. Photocatalytic and antibacterial activities of polyaniline[1]tin(IV)molybdophosphate composite was found to be higher than that of organic (polyaniline) and inorganic (tin(IV)molybdophosphate) counterparts. The results obtained indicated the degradation efficiency of approximately 73% in 180 min exposure time. Effect of scavengers study evidenced the most important species in the degradation process to be (·O2 - ) and (·OH). Highest photocatalytic degradation efficiency for the composite exchanger studied was obtained at initial concentration of 10 mg/L MB, 100 mg/L of catalyst load and a pH of 8. Antibacterial efficiency of the exchanger over both Gram negative and Gram positive bacteria was found to be higher than the single counterparts.

KEY WORDS: Ion exchangers, Antimicrobial activity, Composites, Photocatalysis, Polyaniline

Bull. Chem. Soc. Ethiop. 2023, 37(1), 59-76.                                                                 

DOI: https://dx.doi.org/10.4314/bcse.v37i1.6
La importancia de promover la movilidad internacional como parte fundamental para el desarrollo de capital humano docente de UACYA-UAN
Authors: García-Gómez Laura Esther , Castañeda-Ibarra Raquel , Rivera-Barajas Juan Marcos
Published: November 2022

La globalización ha provocado una competencia en el nivel económico, cultural, social y académico, que ha llevado a las instituciones educativas de nivel superior, a considerar la movilidad como parte del desarrollo del capital humano para mantenerse actualizados, obteniendo herramientas alternas como formadores de los futuros profesionistas. El objetivo del presente es conocer la importancia de la movilidad internacional para el desarrollo del capital humano docente de la Unidad Académica de Contaduría y Administración (UACyA) de la Universidad Autónoma de Nayarit (UAN). En la investigación se utilizó una metodología de enfoque mixto, donde se presentan los resultados cuantitativos y cualitativos de una encuesta realizada a través de formularios en línea; que permiten conocer la opinión de los docentes participantes con respecto a la importancia de la internacionalización de la educación superior. Obteniendo como resultado que la movilidad internacional de los docentes es importante para el desarrollo del capital humano por medio de la creación de redes de investigación e intercambio académico, que sirven para la inclusión de los futuros profesionistas al campo laboral y su vinculación social, viéndose beneficiada la unidad académica y la propia universidad, a través del capital social creado.
Exploring Consumer’s Expectations and Perceptions of Brands During the Coronavirus Contingency
Authors: Treviño Benavides Teresa , Morton Rodríguez Flor
Published: November 2022

In the midst of a vast spread of COVID-19 across the world, legal regulations were introduced in most countries including social distancing, travel restrictions, and a lockdown in an attempt to slow down the spread of the virus. The pandemic caused by COVID-19 has raised companies’ awareness of the need to foster consumer’s trust in order to survive a crisis. Therefore, the present paper aims to understand the expectations that consumers have towards the behaviors and strategies implemented by brands during the pandemic. This paper contributes to the discussion on how consumers perceive brand’s reactions to the pandemic, by showing ways in which brands can foster brand trust through manifestations of competence, problem-solving and benevolence/integrity. Following an exploratory qualitative research, findings of interviews with consumers suggest that they are informed and interested in brands' efforts towards the topic, and in fact the brand’s positive or negative reactions to the pandemic can shape brand trust.
Internal Marketing to face the "new normal" workplace challenges: Organizational Agility as a booster
Authors: Ortiz Alvarado Ortiz Alvarado , Guerra Leal Eva María
Published: November 2022

The purpose of this research is to identify the new challenges and opportunities that companies had faced due to the radical transformation of work schemes during the COVID-19 contingency. During this environment of uncertainty and change, we look for an understanding of how organizational agility has helped companies to implement key Internal Marketing strategies to cope with such challenges, being able to differentiate between “brilliant improvisation” and a repeatable capability to be prepared for a future crisis or environmental challenging scenarios. This paper presents a proposed model that analyzes two relevant research gaps: 1) The relationship between Internal Marketing and Organizational Agility, and 2) The challenges of Internal Marketing inside an organization derived from an external crisis (COVID-19). Eight semi‐structured long interviews, focused on understanding the employer's perspective, were developed with CEOs of SMEs in various industries in Mexico. The findings suggest five main challenges to enable Internal Marketing strategies through organizational agility: 1) communication 2) emotional well-being, 3) safety, 4) empowerment, and 5) digital tools management.
Analysis of Human Computer Interaction (HCI) Model in SMEs
Authors: Atreya Arvind
Published: November 2022

In Small and Medium-sized Enterprises (SMEs), Human-Computer Interaction (HCI) is considered as a cross-disciplinary segment applied in ergonomics, psychology and the engineering departments. HCI deals with the evaluation, implementation, designing and theoretical evaluation of means in which humans utilize and relate with computing applications. The term ‘Interaction’ is differentiated from other terminologies in the same application interface. The term refers to the abstract system which allows humans to interact with devices of computing for a particular industrial task. An application interface in this case applies to the selection of the technical (software and hardware) realization of a specified interaction system. Because of extensive research to incorporate diversified HCI into an understandable model, this paper evaluates HCI model in SMEs to provide the projected guidance to designers of the system using Information Technology (IT). The choice of a good model provides the recommendable direction for presentation languages e.g., Task Action Grammar (TAG) and the design actions determine the feel and look of the system. In this contribution, critical design projects in every discipline are identified alongside the present study trends and future research directions.
Nutrient Analysis of Plant Mantangan and it is Potential as the Organic Fertilizer in Supporting Plant Physiology Courses
Authors: Khusaini Muh
Published: November 2022

Plant physiology is one of the subjects in higher education, where the material and the subjects studied in this course is implemented in daily life related to human needs that have the opportunity to be developed into business capital by modifying it according to needs, because the nutrient content and the secondary metabolites possessed by green plants studied in plant physiology courses are very useful for the growth and development of the plant itself. Plant of Mantangan (Merremia peltata (L) Merril.) is a plant that is classified as an Invasive Allien Species which grows and develops well although it is not in its natural ecosystem. The effort to prevent Mantangan at this time is still very minimal so that it is necessary to find the right way to anticipate the speed of growth and development of these plants such as by utilizing these invasive plants as ingredients for organic fertilizer for plants. Plants that are considered detrimental such as Mantangan turned out to have great potential to be used again as ingredients that have value and are very useful for human life. This research was conducted to analyze the nutrient content of the plant Mantangan (Merremia peltata (L) Merr.) and its potential as organic fertilizer in supporting the subject of plant physiology. The study was conducted at the Laboratory of the Agricultural Technology Study Center in East Kalimantan from March 27 to May 19, 2018.The results of the study show that the leaves, stems and flowers of the plants of Mantangan have the potential to be used as organic fertilizer. This can be seen from the nutrient content of Mantangan leaves, namely 10.25 water content, 44.87 C-organic, 1.68 N total, P 0.15, and 5.14 K. Stems of Mantangan have a water content of 15.18, C-Organic 42.91, N Total 1.19, P 0.18, K 2.54. Mantangan Flowers have 15.78, C-organic 39.35, N total 1.58, and K 2.11. The potential of the plant as an organic fertilizer can support plant physiology courses because the procedure for making organic fertilizer is contained in a Student Activity Sheet which can be done by students themselves.
Pattern Recognition for Veins and Feature Extraction Techniques
Authors: Welland Laura Hughes
Published: November 2022

Among the biometric system approaches, the Vein Pattern Recognition (VPR) is one of the rapidly expanding aspects of medical image enhancement and scanning. Whereas the ideology behind the technique is modest, there are some problems reported throughout the implementation and designing of vein scanning devices, regarding the hardware lighting framework and the real algorithms utilized for the implementation and processing of a number of images. To maintain the scanning issues to minimize measure, the images from the cameras have to be nearly noiseless and the algorithms have to be capable of detecting the patterns of the veins in different actual-life scenarios. Most implementations of the approach have been commercialized which makes it necessary to launch a system which can extract, analyse and detect the precise human vein patterns whereas maintaining the minimal costs and minimizing the computation requirements of image processing algorithms. Based on that this provides a critical survey of pattern recognition for VPR. Moreover, it provides the hardware processing and implementation remedies based on the approach.
Analysis of Biological Framework and Incorporating Physiological Modelling
Authors: Srpak Bylova , Campbell Nicole
Published: November 2022

Biological frameworks for over the past few decades have been concentrating on the incorporation of medicine and biology including computation and information technology. The present problem is the utility of medical discoveries that have been recorded for over two decades till now: Proteomics and genomics have been projected to develop targeted therapeutically approaches. These approaches are the due to the understanding of the aetiological of the sophisticate illnesses. There are various efforts that are meant to enhance the human physiome based on the evaluation of weaknesses and strengths which will be evaluated in this research. The enhancement of the human framework with validation, documentation and verification of the integrative and underlying feedback is fundamental to project the usable ecosystem. Upcoming developments of the human framework necessitate the integrative physiologists operating in the connection of other scientists. These are some of the scientists with the professionalism in the areas of human biology. These experts are to propose a usable and accurate human framework.
Clinical Decision Support System for the Activity of Evidence based Computation
Authors: Ali-Кhusein  , Urquhart
Published: November 2022

The application of the Clinical Decision Support Systems (CDSS) in the process of facilitating the activity of the evidence-centred treatment project effect enhances the quality of the healthcare services. The main purpose of this article is to define and illustrate the basis of the processes of the evidence-centred decision support tracking at the two thousand AMIA symposium spring. The analysis has been done on the basis of protocol issues when capturing the evidence-centred practices in machine interpretation and repositories for supporting and developing the CDSS for evidence-centred treatment. As a result, the research recommendations are based on five areas: capturing literature-centred and practice-centred evidence in the interpretation of machine knowledge and bases; creating maintainable methodological and technical elements for computer-centred decision support CDSS; assessing the medical costs and effects for clinical decision support system and the manner in which the systems affect the organizational best practices; disseminating and identifying the works based on work-flow sensitivity approach for the system and creating the public policy which will effectively provide the incentives meant to implement CDSS to enhance the quality of healthcare services. The paper is concluded with an assumption of evidence-based medicine aspect being strong. However, future research is still recommended in CDSS to potentially realize more defined benefits of the systems.
Web based Analysis of Critical Medical Care Technology
Authors: K Karthikeyan , E.P Prakash
Published: November 2022

The In-service Training Web-centred Delivery (ITWD) of medical data is a fundamental investment option for financial analyst that plays a critical role in supporting the competencies of medical practitioners. In this paper, a critical analysis of the training and education aspect of medical information was conducted in the process of identifying fundamental training methodologies for medical practitioners as Continued Professional Education (CPE). The paper also evaluates the possible evidences and results retrieved from CPE. This paper includes a literature review from many databases such as Cumulative Index, Cochrane Library and PubMed library for medical practitioners which includes the information published from 2011. The articles under review, selected in this research were used to retrieve quality reviews based on systematic analysis, programme analysis and randomized controlled trials for peer-reviewed articles published from 2011. In this paper, the research questions concentrate on the evidence that effectively support the educational frequency, media, setting and techniques meant to deliver the medical instructions for the CPE.
Review Paper on Hardness Improvement Studies on Friction Stir Welded Alloys
Authors: S Divya , A Kameshkumar , M Karthikeyan , K R Kavin , S Arun Kumar
Published: November 2022

Magnesium amalgam one of the significant crude material utilized in these businesses because of its light weight, great warm conductivity and so on. Additionally, Friction Stirs welding is the joining process that is being utilized in these businesses as it is a strong state joining process. A friction stir welding is widely used in automobile and aerospace sectors for smooth finishing and strength of materials, there is still scoped to take up further research in this area. In this paper, it is discussed the improvement method of friction stir welded magnesium alloy plates.
Analysis and Performance Improvement of Induction Motor drive for Traction Application
Authors: Lin Shih-Chau
Published: November 2022

Induction motor is widely used in many fields due to its simple structure, well-grounded operation, and small capacity of precise power. The conventional traction motor drives have been observed experimentally that there is a presence of speed deviation and torque ripples. Therefore, it becomes much essential to verify the control performance of the system by including its non- linear characteristics. To overcome the disadvantages mentioned above, the parameters of an induction motor which is most efficient will be estimated. The induction motor is dynamically modelled using this estimated parameter. So the proposed system focuses on improving the performance of traction motor drive by implementing the multilevel inverter fed sensor less induction motor using modified model reference adaptive system and compared with conventional model reference system based voltage source inverter. The simulation and hardware results will be realized for proposed system and compared with conventional system.
„Nyní jsem hvězdným poslem já“: Reakce římských jezuitů na Galileovy nebeské objevy
Authors: Ledvoňová Markéta
Published: November 2022

The publication of Galileo’s Starry Messenger provoked an immediate reaction of many European scholars, with one important exception: the Jesuit mathematicians of Collegio Romano under the tutelage of recognized mathematician Christoph Clavius. The aim of this paper is to explore the possible reasons behind the belated reaction of the Roman Jesuits who commented on the celestial discoveries more than a year after the publication of Galileo’s book. There is some evidence to suggest that while the Roman mathematician tended to recognize the novelties revealed by the telescope, an instrument that still had to prove its trustworthiness, they were fettered by the strict rules that were designed to maintain unity in the Jesuit order.
On the Possible Transformation and Vanishment of Epistemic Objects
Authors: Rheinberger Hans-Jörg
Published: November 2022

When considering the question of possible transformation and disappearance of scientific objects, it is useful to distinguish between epistemic and technical objects. This paper presents preliminary observations and offers a typology of obsolescence. It is based on several case studies drawn from the history of life sciences. The paper proceeds as follows: first, the dynamics of epistemic objects is considered through the examples of Carl Correns’ study of “xenia”, Alfred Kühn’s work on physiological developmental genetics, and Paul Zamecnik’s research on the protein biosynthesis. Second, the phasing out of technical objects is then separately discussed and illustrated by the example of radioactive tracing in biology – until recently, an established technique of visualization.
Editorial
Authors: Clain Olivier , Maršálek Jan
Published: November 2022

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Underdetermination and Models in Biology
Authors: Jedlička Petr
Published: November 2022

Since the early 20th century underdetermination has been one of the most contentious problems in the philosophy of science. In this article I relate the underdetermination problem to models in biology and defend two main lines of argument: First, the use of models in this discipline lends strong support to the underdetermination thesis. Second, models and theories in biology are not determined strictly by the logic of representation of the studied phenomena, but also by other constraints such as research traditions, backgrounds of the scientists, aims of the research and available technology. Convincing evidence for the existence of underdetermination in biology, where models abound, comes both from the fact that for a natural phenomenon we can create a number of candidate models but also from the fact that we do not have a universal rule that would adjudicate among them. This all makes a strong case for the general validity of underdetermination thesis.
Věda jako morální volba
Authors: Benda Libor
Published: November 2022

Book review:Harry Collins Robert Evans, Why Democracies Need Science. Cambridge: Polity Press 2017, viii + 194 pp.
Oko mysli: Agnes Arberová k otázce biologického hlediska
Authors: Pudil Matěj
Published: November 2022

The study reflects the philosophical analysis of scientific research carried out by the botanist Agnes Arber in the 1950s. Her concept entails a valuable contribution to the question of the context of scientific discovery and the process of its rationalization in biological disciplines. I will try to show that her considerations are fundamentally phenomenological, and thus the comparison with the thoughts of Maurice Merleau-Ponty on the topic of corporeal nature of senses is useful. Such an interpretation suggests that Arber, similarly to Merleau-Ponty (though using different terminology), considers phenomena not as objects that can be examined separately, but as representing a phenomenal field in which phenomena arise in the con-text of past experience. According to her, the orientation in the subject of a study is a question of equilibrium, which a researcher actively seeks.
Structuralism in Social Science: Obsolete or Promising?
Authors: Menšík Josef
Published: November 2022

The approach of structuralism came to philosophy from social science. It was also in social science where, in 1950–1970s, in the form of the French structuralism, the approach gained its widest recognition. Since then, however, the approach fell out of favour in social science. Recently, structuralism is gaining currency in the philosophy of mathematics. After ascertaining that the two structuralisms indeed share a common core, the question stands whether general structuralism could not find its way back into social science. The nature of the major objections raised against French structuralism – concerning its alleged ahistoricism, methodological holism and universalism – are reconsidered. While admittedly grounded as far as French structuralism is concerned, these objections do not affect  general structuralism as such. The fate of French structuralism thus does not seem to preclude the return of general structuralism into social science, rather, it provides some hints where the difficulties may lie.