bluuebunny/crossref_metadata_2025 huggingface dataset:
Fairness and Ethics in Artificial Intelligence-Based Medical Imaging
Authors: Tripathi Satvik , Musiolik Thomas Heinrich
Published: September 2021

Artificial intelligence has a huge array of current and potential applications in healthcare and medicine. Ethical issues arising due to algorithmic biases are one of the greatest challenges faced in the generalizability of AI models today. The authors address safety and regulatory barriers that impede data sharing in medicine as well as potential changes to existing techniques and frameworks that might allow ethical data sharing for machine learning. With these developments in view, they also present different algorithmic models that are being used to develop machine learning-based medical systems that will potentially evolve to be free of the sample, annotator, and temporal bias. These AI-based medical imaging models will then be completely implemented in healthcare facilities and institutions all around the world, even in the remotest areas, making diagnosis and patient care both cheaper and freely accessible.
Fostering CRM Through Artificial Intelligence
Authors: Natrajan Nidhi Shridhar , Singh Sanjeev Kumar , Sanjeev Rinku
Published: September 2021

The use of technology has always provided competitive advantage to organizations. The current approach of adapting a new technology is the long-term planning. AI has become a new paradigm of enhancing organizational capabilities. AI is not a substitute of human intelligence but a strong support in terms of process automation. Apart from this, the decision-making process also gets streamlined. The success of business is when the customer is happy. To create and retain customer loyalty, effective CRM is required. The current chapter focuses on adoption of AI for efficient CRM and the factors for its successful implementation.
Zero Customer Defection
Authors: Yadav Renu
Published: September 2021

AI-oriented CRM has a bright future in business transformation. We're living in the age of the customer. Due to the proliferation of data, customers are more informed than ever. Armed with empowerment, customers are demanding that customer experience be put on a pedestal. According to research by Walker, customer experience is slated to overtake price and product as the key brand differentiator by the end of 2020. Quality is a buzz word. In this sharp, opportunistic, and calculating world, one can survive only if it is having not only good quality but a unique quality. As it is very well explained by Darwin that the mantra for success is “survival of fittest.” Every organization has its own procedure of achieving its best quality and to sustain in this tough world. This chapter will not only discuss about the zero customer defection but also emphasize on the issues, problems, and trends of artificial intelligence in CRM and in turn zero customer defection.
An Overview of the Use of Gamification on Enterprises to Motivate Human Resources
Authors: Fernandes Igor , Branco Pedro , Portela Carlos Filipe
Published: September 2021

Organizations are concerned about how they can increase the motivation and engagement of their employees. Gamification arises in this context as an opportunity to address this issue. Thus, gamification has attracted greater attention from companies. The idea of using game elements to solve problems in their processes is starting to be seen as a solution. This study aims to analyse the gamification concept and its benefits and explain how it can be applied in human resources management. This mechanism can help companies to solve employee motivation and engagement problems in different areas of human resources. This chapter analysed eight studies in the areas of recruitment, training, team building, and administrative processes. So a SWOT analysis able to help understand the different models of gamification applied in human resources, its objectives, and its ability to create advantages for companies and their employees was constructed.
Can Artificial Intelligence and Big Data Improve Gamified Healthcare Services and Devices?
Authors: Pérez-Juárez María A. , Aguiar-Pérez Javier M. , Del-Pozo-Velázquez Javier , Alonso-Felipe Miguel , Rozada-Raneros Saúl , Barrio-Conde Mikel
Published: September 2021

Systems that aim to maintain and improve the health of citizens are steadily gaining importance. Digital transformation is having a positive impact on healthcare. Gamification motivates individuals to maintain and improve their physical and mental well-being. In the era of artificial intelligence and big data, healthcare is not only digital, but also predictive, proactive, and preventive. Big data and artificial intelligence techniques are called to play an essential role in gamified eHealth services and devices allowing to offer personalized care. This chapter aims to explore the possibilities of artificial intelligence and big data techniques to support and improve gamified eHealth services and devices, including wearable technology, which are essential for digital natives but also increasingly important for digital immigrants. These services and devices can play an important role in the prevention and diagnosis of diseases, in the treatment of illnesses, and in the promotion of healthy lifestyle habits.
Building Acquisition Management Capability to Improve Firm Performance in Acquisitions
Authors: Ramadhana Mohamad Oki , Adioetomo Sri Moertiningsih , Irbansyah Biakman , Hartijasti Yanki
Published: September 2021

In the past two decades, the number of cross-border mergers and acquisitions in ASEAN has progressively expanded as the region has become a desired economic market for trade and investment. Therefore, this study aimed to identify the factors contributing to the success of acquisitions by corporations. It investigates the role of acquisition management capability with strategic integration and acquisition. The non-probability sampling strategy was used to collect information from 51 firms. With a five-point Likert scale, a systematic questionnaire was designed to test the latent variables by employing confirmatory factor analysis. The quantitative method of Structural Equation Modeling was used in the analysis. The results show that the structural model had a Goodness of Fit Index value that indicates all three latent variables and independent variables were valid. The findings indicate that acquisition management capability have a central role in advancing the overall integration of the acquiring firm in the ASEAN context.
Determinants of Auditor Choice in Non-Financial Listed Firms on the Vietnamese Stock Market
Authors: Thu Phung Anh , Khanh Thai Hong Thuy
Published: September 2021

Audit plays an important role in maintaining and issuing high-quality financial statements. This article investigates the factors that can affect auditor choice in developing countries. The authors utilize STATA to test Binary Logistic on a sample of Vietnamese listed ﬁrms data during the period between 2014 and 2017. These studies have examined the characteristics of the firm itself or the client's characteristics, prompting the process of selecting an auditor in the same regulatory environment. The results present that there is a positive relationship between firm size, firm growth, and auditor choice. While financial leverage has a negative relationship with the selection of audit firms.
Benefits Measurement of a Plan to Reduce Hypertension in a Healthcare Foundation Using the BCTool
Authors: Pereira Leandro , Patrício Vânia , Fernandes António , Santos José , Santos Ricardo , Jerónimo Carlos , Simões Francisco
Published: September 2021

The hypertension is a well know problem and associated with a high salt consuming is one of the commonest chronic diseases.To measure the impact of this consuming it has been applied the methodology provided by the Business Case tool (BC Tool), in a Portuguese foundation for elderly, in order to contribute for Intervention Plan for the reduction of hypertension which aims to reduce salt consumption in the Portuguese population and to improve the control of Hypertension through a phased reduction in salt consumption.This objective has been achieved by changing the availability of foods with lower salt contents and by decreasing the addition of salt in cooking. The results of these measures provided a substantial benefit in terms of Benefits Measurements and Cost Analysis besides the results of SROI measurement in order to obtain the social benefits of this initiative of the Intervention plan to reduce hypertension. Along these results it has been collected the suggestions for improvements that would allow the Sarah Beirão Foundation's response to the needs of its users to be improved
Exploring the Determinants of Intent to Adopt Mobile Value-Added Services by Women's Micro and Small Businesses in Tonga
Authors: Faasolo Malia Benedine , Sumarliah Eli
Published: September 2021

This paper examines factors affecting the intention to adopt mobile value‐added services (MVS) by women's micro and small businesses (WMSBs) in the Kingdom of Tonga. Previous research on technology acceptance reveals that perceived ease of use and perceived usefulness affect the intent to use technologies. Nevertheless, studies on behavior propose that societal values affect the intent to use. The study tries to fill the gap by examining those three variables' effects on the intent to adopt MVS in Tonga—a Pacific island nation that embraces a distinctive culture of mutuality and sharing. After surveying 267 women microbusiness owners, the study reveals that the most influential determinant of intent to use MVS is social support. Social support also affects perceived ease of use and perceived usefulness of MVS. Therefore, in collective cultures such as Tonga, leaders and decision-makers should involve social networks to expand the adoption of technologies.
A Trust-Integrated RPL Protocol to Detect Blackhole Attack in Internet of Things
Authors: Patel Anshuman , Jinwala Devesh
Published: September 2021

Internet of things (IoT) offers communication between user-to-machine and machine-to-machine. Due to their inherent characteristics of open medium, very dynamic topology, lack of infrastructure and lack of centralized management authority, IoT present serious vulnerabilities to security attacks. The routing protocol for low-power and lossy networks (RPL) does not have an inherent mechanism to detect routing attacks. Popular among these IoT attacks is blackhole attack. An attacker can exploit the routing system of RPL to launch blackhole attack against an IoT network. To secure IoT networks from blackhole attack, trust-integrated RPL protocol (TRPL) is proposed and implemented. The trust system is embedded in the RPL protocol to detect and isolate a blackhole attack while optimizing network performance. The trust is calculated from successful interaction between two nodes. The calculated trust value is considered in parent selection. TRPL demonstrates its superior performance over the standard RPL protocol and existing techniques in the detection and isolation of blackhole attacks.
An Improved Sentiment Analysis Approach to Detect Radical Content on Twitter
Authors: Djaballah kamel Ahsene , Boukhalfa Kamel , Boussaid Omar , Ramdane Yassine
Published: September 2021

Social networks are used by terrorist groups and people who support them to propagate their ideas, ideologies, or doctrines and share their views on terrorism. To analyze tweets related to terrorism, several studies have been proposed in the literature. Some works rely on data mining algorithms; others use lexicon-based or machine learning sentiment analysis. Some recent works adopt other methods that combine multi-techniques. This paper proposes an improved approach for sentiment analysis of radical content related to terrorist activity on Twitter. Unlike other solutions, the proposed approach focuses on using a dictionary of weighted terms, the Word2vec method, and trigrams, with a classification based on fuzzy logic. The authors have conducted experiments with 600 manually annotated tweets and 200,000 automatically collected tweets in English and Arabic to evaluate this approach. The experimental results revealed that the new technique provides between 75% to 78% of precision for radicality detection and 61% to 64% to detect radicality degrees.
Low-Quality Error Detection for Noisy Knowledge Graphs
Authors: Bu *Chenyang , Yu Xingchen , Hong Yan , Jiang Tingting
Published: September 2021

The automatic construction of knowledge graphs (KGs) from multiple data sources has received increasing attention. The automatic construction process inevitably brings considerable noise, especially in the construction of KGs from unstructured text. The noise in a KG can be divided into two categories: factual noise and low-quality noise. Factual noise refers to plausible triples that meet the requirements of ontology constraints. For example, the plausible triple  satisfies the constraints that the head entity “New_York” is a city and the tail entity “America” belongs to a country. Low-quality noise denotes the obvious errors commonly created in information extraction processes. This study focuses on entity type errors. Most existing approaches concentrate on refining an existing KG, assuming that the type information of most entities or the ontology information in the KG is known in advance. However, such methods may not be suitable at the start of a KG's construction. Therefore, the authors propose an effective framework to eliminate entity type errors. The experimental results demonstrate the effectiveness of the proposed method.
In Vivo Expansion of Antigen-Specific Regulatory T Cells through Staggered Fc.IL-2 Mutein Dosing and Antigen-Specific Immunotherapy
Authors: Pham Minh N , Khoryati Liliane , Jamison Braxton L , Hayes Erika , Sullivan Jenna M , Campbell Daniel J , Gavin Marc A
Published: September 2021

In mice, Ag administration in the absence of adjuvant typically elicits tolerogenic immune responses through the deletion or inactivation of conventional CD4 T cells and the formation or expansion of regulatory CD4 T cells (Treg). Although these “Ag-specific immunotherapy” (ASI) approaches are currently under clinical development to treat autoinflammatory conditions, efficacy and safety may be variable and unpredictable because of the diverse activation states of immune cells in subjects with autoimmune and allergic diseases. To reliably induce Ag-specific tolerance in patients, novel methods to control T cell responses during ASI are needed, and strategies that permanently increase Treg frequencies among Ag-specific CD4 T cells may provide long-lasting immunosuppression between treatments. In this study, we present an approach to durably increase the frequency of Ag-specific Treg in mice by administering ASI when Treg numbers are transiently increased with individual doses of a half-life–extended Treg-selective IL-2 mutein. Repeated weekly cycles of IL-2 mutein doses (day 0) followed by ASI (day 3) resulted in a 3- to 5-fold enrichment in Treg among Ag-responsive CD4 T cells. Expanded Ag-specific Treg persisted for more than 3 wk following treatment cessation, as well as through an inflammatory T cell response to an Ag-expressing virus. Combining Treg enrichment with ASI has the potential to durably treat autoimmune disease or allergy by increasing the Treg/conventional CD4 T cell ratio among autoantigen– or allergen-specific T cells.
Southern African HIV Clinicians Society gender-affirming healthcare guideline for South Africa
Authors: Tomson Anastacia , McLachlan Christine , Wattrus Camilla , Adams Kevin , Addinall Ronald , Bothma Rutendo , Jankelowitz Lauren , Kotze Elliott , Luvuno Zamasomi , Madlala Nkanyiso , Matyila Savuka , Padavatan Anil , Pillay Mershen , Rakumakoe Mmamontsheng D. , Tomson-Myburgh Mathilde , Venter Willem D.F. , De Vries Elma
Published: September 2021

No abstract available.
Cardiovascular Responses to Social Stress Elicited by the Cyberball Task
Authors: Eres Robert , Bolton Isabella , Lim Michelle H. , Lambert Gavin W. , Lambert Elisabeth A.
Published: September 2021

Objective:

The aim of the current study was to investigate cardiovascular responses to a brief social exclusion stressor, the Cyberball task, and to determine whether individual differences in depression, anxiety, and perceived social isolation moderate physiological stress responses.

Methods:

Sixty-four participants engaged in the Cyberball task while heart rate, blood pressure, and respiratory rate were continuously measured.

Results:

Systolic (M = 121.61, SD = 13.34) and diastolic (M = 77.34, SD = 7.56) blood pressure increased significantly during the exclusion condition compared with the rest condition (M = 117.81, SD = 12.71, M = 75.63, SD = 7.39, respectively). Significant correlations were also found between social anxiety (r = −0.25) and depression (r = −0.25) scores with systolic blood pressure from the exclusion condition. Further, participants who reported high depression scores had attenuated cardiovascular responses to social exclusion.

Conclusions:

Overall, cardiovascular activity were elevated after a brief social stressor, but those with clinically relevant cut off scores on the CES-D had attenuated cardiovascular responses These findings support the growing body of literature surrounding cardiovascular stress reactivity to stress induced from social exclusion.
Seasonal Influence on Assisted Reproductive Technology Outcomes
Authors: Singh Amandeep , Joseph Treasa , Karuppusami Reka , Kunjummen Aleyamma Thayparmbil , Kamath Mohan Shashikant , Mangalaraj Ann Margaret
Published: September 2021

Background:

It is well known that seasonal variations influence natural conception and birth rates variably in different populations. It has been hypothesised that similar seasonal influences may affect treatment outcomes following assisted reproductive technology (ART). However, most studies report conflicting results.

Aim:

The aim of the study is to elucidate whether seasonality had any impact on the treatment success of the ART program.

Study Setting and Design:

We conducted a retrospective cohort study at a university-level tertiary care hospital in South India.

Materials and Methods:

All couples who underwent ART between January 2012 and December 2016 were included in the study. We divided the study population into three groups based on the seasonal differences experienced in our region. The primary outcome was live birth rate (LBR).

Statistical Analysis:

Univariate and multiple logistic regression models were used to compare outcomes and results reported as odds ratio (OR) and 95% confidence interval (CI).

Results:

Univariate analysis revealed no significant difference in LBR in monsoon season (174/651, 26.7% vs. 83/319, 26.0%; OR 1.04, 95% CI 0.77,1.41; P = 0.81) as compared to summer. However, LBR was significantly higher in winter season (114/341, 33.4% vs. 83/319, 26.0%; OR 1.43; 95% CI: 1.02, 2.00; P = 0.04). Further, multivariate analysis following adjustment for various confounding factors revealed no significant statistical difference in LBR in monsoon (adjusted odds ratio [aOR], 0.92; 95% CI: 0.66, 1.26; P = 0.59) or winter (aOR 1.32; 95% CI: 0.92, 1.88; P = 0.13) as compared to summer season.

Conclusion:

The current study found no significant effect of seasonal variation on LBR following ART.
”When Love Does not bear a Fruit”
Authors: Patel Ansha , Sharma P. S. V. N. , Kumar Pratap
Published: September 2021

Background:

Self-identity, sexuality, and subfertility have multidirectional effects on each other. Subfertility is known to alter sexual esteem, threaten identity, body image, sexual attractivness, coital pleasure, and sexual satisfaction.

Objective:

This study aimed to evaluate sexual difficulties as predictors of infertility-specific stress in patients undergoing fertility treatments and to assess the profile of sexual dysfunctions in participants.

Study Setting and Design:

This cross-sectional study was conducted in a tertiary hospital setup of a medical college.

Methods:

Three hundred married men and women diagnosed with infertility participated. The psychological evaluation test, international classification of diseases (10th, CDDG), female sexual functioning index, and international index of erectile functioning were used as measures.

Statistical Analysis:

Data were analyzed using SPSS (version 15, Chicago, USA). Chi-square test was used for univariate analysis between stress and presence of sexual dysfunctions in men and women. Medians, quartile, and cutoff scores were used to profile the sexual issues in participants.

Results:

Prevalence of sexual dysfunctions since marriage was higher in women (75%) than men (60%). Ninety-two percent of women and 86% of men experienced emergence of sexual difficulties after the couple started treatments.

Conclusions:

Sexual dysfunctions appear to be a consistent psychosocial concern for those awaiting conception. These appear to worsen during the treatments. Our findings suggest the need to sensitively approach and explore sexual anamnesis with the couple before recourse to medically assisted reproductive treatments. Psychological interventions for sexual issues in distressed patients before, during, and after treatments such as controlled ovarian hyperstimulation, intrauterine insemination, in vitro fertilization, and intracytoplasmic sperm injection are most needed.
Exploration and Thinking in Mixed Flipping-Classroom Teaching Approach on Clinical Endocrinolgy during the Coronavirus Disease 2019 Period
Authors: Li Tuo , Zhang Xian-liang , Tang Wei , Sun Liang-liang , Zou Jun-jie , Shi Yong-quan
Published: September 2021

Abstract

Background and Objectives:

To explore the superiority of flipping-classroom lended learning in which the stay-home e-learning and traditional internship complements each other in resident training of endcorinology during coronavirus disease 2019 restriction period.

Materials and Methods:

A total of 44 residents were randomized as the study population. In the endocrine-rotation training, we reformed the clinical learning by unified online-teaching led by teachers' combination with individual guidance by residents. Moreover, the final implementation assessment was conducted by standard double-blind examinations.

Results:

After 4-8 weeks training, the 44 residents were assessed for clinical skills from six dimensions, including medical history collection, physical examination, history report and inpatient record writing, case analysis, and overviewing capability. Compared with the mean scores of 68 residents rotated in internal medicine in 2019, the mean scores on physical examination, inpatient record writing, and overviewing capability in 2020 group were higher with significance ([85.72 ± 8.33] vs.[79.22 ± 10.12], P = 0.0006), ([90.28 ± 10.70] vs. [81.82 ± 8.03], P < 0.0001), ([80.31 ± 8.70] vs. [73.04 ± 12.74], P = 0.0012), whereas scores on skills of medical history collection and history report were slightly lower ([82.11 ± 9.02] vs. [85.06 ± 7.23], P = 0.0586), ([79.30 ± 8.17] vs. [83.21 ± 5.01], P = 0.0022), while scores on case analysis did not show huge gap but with polarized performance in 2020 group ([74.38 ± 10.29] vs. [78.13 ± 8.53], P = 0.0386).

Conclusions:

Providing the novel pattern of unified online-teaching combined with individual-guidance at the bedside to the front-line residents can reduce the risk of cluster epidemics and effectively ensure the training effect on them but still with shortcomings. The future online teaching reform is better for focus more on how to make up for or reduce the actual problem of disconnection between theory and practice in the process of online clinical skills training for residents and teachers.
Перекрытие обычных и модифицированных векторов Бете
Authors: Belliard Samuel , Slavnov Nikita Andreevich
Published: September 2021

Рассматривается перекрытие векторов Бете спиновой $XXX$-цепочки с диагональным твистом и модифицированных векторов Бете с общим твистом. При одном дополнительном условии на параметры твиста найдено детерминантное представление для этого перекрытия. Такие объекты возникают при вычислениях в неравновесной физике.
Cardiovascular Complications of Acetylcholinesterase Inhibitors in Patients with Alzheimer’s Disease: A Narrative Review
Authors: Young Sara , Chung Enoch , Chen Michael A.
Published: September 2021

While acetylcholinesterase inhibitors are used to treat a wide range of patients with Alzheimer’s disease, acetylcholinesterase inhibitor use has also been associated with a variety of cardiovascular complications, including bradycardia and syncope. Herein, we review the pathophysiology and clinical evidence for cardiovascular complications caused by acetylcholinesterase inhibitors in patients being treated for dementia and discuss options for their management.
Minority Languages’ exclusion in the Lesotho School Curriculum: Perceptions of Teachers and Learners
Authors: Maboleba Kolobe  , Lifelile Matsoso
Published: September 2021

The study sought to know why learners from linguistically disadvantaged backgrounds have low educational morale. A constructivist study  was adopted through the use of focus group discussions with 246 learners and 142 teachers in 23 schools located in Botha Bothe, Mohale’s Hoek, Qacha’s Nek and Quthing districts in Lesotho. The findings revealed minimal if not absolute nonrecognition of minority languages in the teaching and learning of learners from these linguistic backgrounds. Therefore, the study concludes that linguistically exclusive  curriculum, and teaching and learning practices can reasonably be associated with poor performance of learners. Based on these findings, the paper recommends that Lesotho’s education system recognise the existence of national minority languages. In other words, the  curriculum, its implementation and assessment of learners should not be divorced from the linguistic background of learners.
Evolutionary transformation of the journal. Part 8
Authors: Kokowski Michał
Published: September 2021

The article outlines the eighth phase of the development of the journal Studia Historiae Scientiarum (previous name Prace Komisji Historii Nauki PAU / Proceedings of the PAU Commission on the History of Science).
Information is provided on the following matters: the journal’s evaluation by the “ICI Master Journal List 2019” (released at the end of 2020), by the Ministry of Education and Science of the Polish Republic (released on February 9 / 18, 2021), by Scopus (released on 6 April 2021), and by the SCImago Journal Rankings 2020 (released on May 17, 2021; unfortunately, the journal data in Scimago website are inconsistent with the Scopus data, e.g. most of the 2020 volume’s citable texts that are indexed in Scopus have been omitted).
Additionally, the number of foreign authors and reviewers of the current volume of the journal is quoted.
From volume 21 (2022), the journal Studia Historiae Scientiarum will implement additional organizational solutions: a CC BY license for the texts of articles (retaining the possibility of other licenses for illustrations), the CrossMark service and the publishing option, the so-called FirstView Articles.
Nikolai Nikolaevich Luzin at the crossroads of the dramatic events of the European history of the first half of the 20th century
Authors: Demidov Sergeĭ S.
Published: September 2021

Nikolai Nikolaevich Luzin’s life (1883–1950) and work of this outstanding Russian mathematician, member of the USSR Academy of Sciences and foreign member of the Polish Academy of Arts and Sciences, coincides with a very difficult period in Russian history: two World Wars, the 1917 revolution in Russia, the coming to power of the Bolsheviks, the civil war of 1917–1922, and finally, the construction of a new type of state, the Union of Soviet Socialist Republics. This included collectivization in the agriculture and industrialization of the industry, accompanied by the mass terror that without exception affected all the strata of the Soviet society. Against the background of these dramatic events took place the proces of formation and flourishing of Luzin the scientist, the creator of one of the leading mathematical schools of the 20th century, the Moscow school of function theory, which became one of the cornerstones in the foundation of the Soviet mathematical school. Luzin’s work could be divided into two periods: the first one comprises the problems regarding the metric theory of functions, culminating in his famous dissertation Integral and Trigonometric Series (1915), and the second one that is mainly devoted to the development of problems arising from the theory of analytic sets. The underlying idea of Luzin’s research was the problem of the structure of the arithmetic continuum, which became the super task of his work.
The destiny favored the master: the complex turns of history in which he was involved did not prevent, and sometimes even favored the successful development of his research. And even the catastrophe that broke out over him in 1936 – “the case of Academician Luzin” – ended successfully for him.
Book reviews in the history of knowledge
Authors: Pleshkov Aleksei , Surman Jan
Published: September 2021

Academic reviewing, one of the communal academic practices, is a vital genre, in which epistemic virtues have been cultivated. In our article, we discuss reviews as a form of institutionalized critique, which historians could use to trace the changing epistemic virtues within humanities. We propose to use them analogously to Lorraine Daston’s and Peter Galison’s treatment of atlases in their seminal work Objectivity as a marker of changing epistemic virtues in natural sciences and medicine.
Based on Aristotle’s virtue theory and its neo-Aristotelian interpretation in the second half of the 20th century, as well as on its most recent applications in the field of history and philosophy of science, we propose a general conceptual framework for analyzing reviews in their historical dimension. Besides, we contend that the analysis of reviews should be carried out taking into account their historical context of social, political, cultural and media-environment. Otherwise, one may risks presupposing the existence of an autonomous, disconnected community of scholars.
Sprawozdanie Komisji Historii Nauki PAU w roku 2020/2021
Authors: Kokowski Michał
Published: September 2021

Omówiona została działalność Komisji Historii Nauki PAU w roku 2020/2021. Przedstawiono spisy: posiedzeń naukowych, konferencji, sesji i seminariów naukowych, nowych członków Komisji oraz nowych publikacji
Invasive Weed Optimization Based Ransom-Ware Detection in Cloud Environment
Authors: Adil Hussain Mohammed
Published: September 2021

Cloud provide support to manage, control, monitor different organization. Due to flexible nature f cloud chance of attack on it
increases by means of some software attack in form of ransomware. Many of researcher has proposed various model to prevent
such attacks or to identify such activities. This paper has proposed a ransomware detection model by use of trained neural
network. Training of neural network was done by filter or optimized feature set obtained from the feature reduction algorithm.
Paper has proposed a Invasive Weed Optimization algorithm that filter good set of feature from the available input training
dataset. Proposed model test was performed on real dataset, have set sessions related to cloud ransomware attacks. Result shows
that proposed model has increase the comparing parameter values.
COVID19 Sentiment Analysis using Machine Learning Classification Algorithms
Authors: Kusumanchi Naga Sireesha and Padala Srinivasa Reddy
Published: September 2021

Along with the Coronavirus pandemic, another crisis has manifested itself in the form of mass fear and panic phenomena, fuelled
by incomplete and often inaccurate information. There is therefore a tremendous need to address and better understand
COVID-19’s informational crisis. The diverse use of social networking sites, like Twitter, speeds up the process of sharing
information and having views on community events and health crises COVID-19 has been one of Twitter's trending areas. The
Twitter messages created via Twitter are named Tweets.
In this paper, we identify public sentiment associated with the pandemic using Coronavirus-specific Tweets and Python,
along with its sentiment analysis packages. We provide an overview of two essential machine learning classification methods, in
the context of textual analytics, and compare their effectiveness in classifying Coronavirus Tweets of varying lengths. This
research provides insights into Coronavirus fear sentiment progression, associated methods, limitations, and different
opportunities. In this project, we have designed a Sentiment analysis System that would identify the sentiment of a tweet and
classify it into one of the five classes they include:”ExtremelyPositive”,“Positive”,”Neutral”, ”Negative” and “Extremely
Negative”.
Smart Irrigation System Based on the Internet of Things and the Cloud
Authors: Malik Mustafa, Abdallah Abbas, Qusay Bsoul and Aumir Shabbir
Published: September 2021

A water system is a technique for giving water to plants to grow and create. Water in plants or water systems is not a
cutting-edge idea; it has been followed and applied from one century to another or decade to decade. Advances have developed in
lockstep with time. At the point when we compare the 1980s and 2021, we see a sensational distinction in advances just as in the
water system strategy. During the 1980s, the water system was accomplished utilizing furrows and wrinkles. A water system is a
technique for providing water to the root zone at the ideal opportunity. Plants draw water from wet soil, and by the component of
evapotranspiration (ET), plants come to pass water into the air while drawing supplements accessible in soil with water for root
zone improvement. At the point when the stockpile of water in the root zone falls under a specific edge, plants can't draw
supplements and water for sustenance. Thus, supply great water to the root zone before as far as possible is reached. This cutoff is
controlled by the types of plants, soil, and environment. Since the edge cap changes relying upon the sort of plant. Logical booking
requires the utilization of the proper volume of water at the fitting time frame and area inside the office. This requires consistent
checking of soil dampness content at the root zone and the commencement of the water system as per a pre-modified timetable
base on wear the idea of the plant, its turn of events, soil type, and environment. Accordingly, for logical water system booking,
sensors should be planted close to the root zone in the dirt to get to the agent's dampness status.
The signs created and recognized by soil dampness sensors should be prepared in a microcontroller for water system planning
by predefined programming. The microcontroller ought to likewise be intended to hand off the sign to a far-off area where the
siphoning and well framework for water system control is found. Also, the criticism of these sensors ought to be examined by the
microcontroller as indicated by a foreordained program to end the water system relying upon the plant, its the degree of
improvement, soil, and environment. This paper presents a cloud-based and web of things-based water system framework. This
framework utilizes sensors to gather continuous water system information, stores information into the cloud, proprietor of
information provides the order and suitable move is made on dependent on the outcome created.
Design and Development of IoT Device that Recognizes Hand Gestures using Sensors
Authors: Santosh Kumar J, Vamsi, Vinod, Madhusudhan and Tejas
Published: September 2021

A hand gesture is a non-verbal means of communication involving the motion of fingers to convey information. Hand gestures
are used in sign language and are a way of communication for deaf and mute people and also implemented to control devices too.
The purpose of gesture recognition in devices has always been providing the gap between the physical world and the digital
world. The way humans interact among themselves with the digital world could be implemented via gestures using algorithms.
Gestures can be tracked using gyroscope, accelerometers, and more as well. So, in this project we aim to provide an electronic
method for hand gesture recognition that is cost-effective, this system makes use of flex sensors, ESP32 board. A flex sensor works
on the principle of change in the internal resistance to detect the angle made by the user’s finger at any given time. The flexes made
by hand in different combinations amount to a gesture and this gesture can be converted into signals or as a text display on the
screen. A smart glove is designed which is equipped with custom-made flex sensors that detect the gestures and convert them to
text and an ESP32 board, the component used to supplement the gestures detected by a flex sensor. This helps in identifying
machines the human sign language and perform the task or identify a word through hand gestures and respond according to it.
Study on Microstructure and Mechanical Properties of Al7068 Reinforced with Silicon Carbide and Fly Ash by Powder Metallurgy
Authors: Md Mehtab Alam and B.S Motgi
Published: September 2021

The paper deals with detailed study on microstructure and mechanical properties of aluminum 7068 reinforced with fly ash and
silicon carbide by powder metallurgy, aluminum 7068, silicon carbide and fly ash were taken in powder form of required size and
mixed together in varying proportion according to specification and compacted with pressure of 400MPa using hydraulic press to
make samples and then samples were sintered at 600°c for 2 hours, the samples were tested for density, compressive strength,
hardness and microstructure was analyzed using scanning electron microscope, energy dispersive x-ray study was carried out in
order to confirm presence of silicon carbide and fly ash in aluminum matrix.
Modeling and Finite Element Analysis of Chain Drive using Different Materials
Authors: G.Prasad and Dr.K.Vasantha Kumar
Published: September 2021

In any automobile the power is transmitted from one shaft to another by using chain drive. Chain drive consists of chain, driving
sprocket and driven sprocket. The driving sprocket is connected to engine output shaft, which transfer power to driven sprocket
by chain. Further this driven sprocket transfer power to drive shaft. The design and material selection of this chain drive plays a
vital role in efficient running of the automobile. Present the material used for chain drive is mild steel.
This paper involves increases the strength of the Pulsar 180cc chain drive by selecting the different materials (AISI 1050 steel, EN 8
steel, EN 32 steel, EN 19 steel and C45 steel).
In this the Pulsar 180cc chain drive designed through reverse engineering approach and detailed finite element analysis is carried
out to calculate stresses and deflections on the chain drive. Later the analysis is extended to fatigue analysis to estimate the life of
the chain drive and the dynamic analysis is carried out to calculate stresses and deflections on the chain drive when it is in motion.
SOLID WORKS software is used for doing 3D model of chain drive and ANSYS is used for doing finite element analysis.
Seasonal Composition and Diversity of Zooplankton in Pichavaram Mangrove Forest, Southeast Coast of India
Authors: M. Saravanakumar, P. Murugesan, P. Damotharan and R. Punniyamoorthy
Published: September 2021

In the present study, the zooplankton diversity and distribution was studied in relation to seasonal variation of environmental
parameters in the Pichavaram mangrove forest. Samples were seasonally collected (i.e., post-monsoon: January-2018 and
monsoon: December-2018) from seven stations. A total of 48 zooplankton species belonging to two groups macro-zooplankton
and micro-zooplankton were recorded during this study. A total of 48 species of zooplankton belonging to different groups were
identified. Copepod was found to be the most dominant group and it contributed more than 50% of the total zooplankton
collected in this study. The maximum number of zooplankton species (35) and diversity value (H’) 3.867 was recorded in the
stations near coastal zone (P-7) during summer and minimum species number (24) and maximum species richness (d) 7.652 was
recorded in stations near to freshwater zone (P-2) during monsoon. The species evenness (J') 0.866 was also recorded maximum at
stations near river mouth (P-7). BIO-ENV (Biota-Environmental matching) and CCA results confirmed that the environmental
parameters such as Temperature, Salinity, Dissolved Oxygen, Silicate, Chlorophyll, Primary Productivity, Total Biomass and
Phaeopigments as the most influencing environmental parameters, which regulates zooplankton assemblage. The results of
present study help to develop an understanding on the zooplankton distribution in mangrove forests, which will form a reliable
tool in bio-monitoring studies
Behavioural Study of Infill’s Walls on Soft Story Building
Authors: Shilpa S and Navith K B
Published: September 2021

Open ground storey or soft storey is a typical feature in multistory structures in urban areas. This open storey is provided to
accommodate parking, reception lobbies, office, communication hall etc. Many of structure having soft storey suffered major
damage and collapsed in recent earthquakes. During an earthquake, because of variation in stiffness in soft story and its adjacent
floors the inter story drift can occur and the lateral forces cannot be well distributed along the height of building. Lateral forces
concentrate on soft story causes large displacement. In this work, an attempt has been made to observe the behavior of gradual
decrease in stiffness of building, by using different types of infill material. This work discusses Optimum Earthquake response of
tall buildings by response spectrum method as per IS 1893:2002 (Part- I) in ETAB’S software. Seismic parameters like storey
stiffness and storey displacement are checked out.
The Road to Sustainable Development: Existing Problems and Solutions
Authors: Kaustubh Jain
Published: September 2021

The debate about developing countries having to choose between economic growth and biodiversity protection has been going
on for a long time. This paper sought to add to existing literature written on that topic by exploring the relationship between
economic growth and biodiversity loss. It argued that in the long term, developing countries need to protect biodiversity as a
prerequisite for economic growth to occur and that the severe impact of biodiversity loss on vulnerable indigenous communities
is a reason enough to make the protection of biodiversity a priority. The researcher first identified the primary reasons for why
biodiversity occurs, then advocated for the prevention of biodiversity by exploring two impacts of biodiversity loss: the impact on
indigenous communities and the impact on economic growth. The paper then briefly also explained the policies that both
governments, as well as nongovernment actors, can implement in order to tackle biodiversity loss and protect our environment.
ONLINE ADVICE: GIVING ADVICE IN AN INTERNET TRAVEL FORUM
Authors: Wan Shujun
Published: September 2021

This article aims at exploring the discourse moves of giving advice in the online context with an Internet travel forum as an example. The article first reviews relevant literature concerning advice and advice giving. Previous research on online advice giving is also reviewed in the following section. Then, the instrument for data collection of the present study is introduced and online messages, including problem messages and response messages are analyzed from different aspects, e.g. problem description, discursive moves in advice messages and how the initial problem writer responded to the advice-givers. The present study finally reaches to the conclusion that advice and assessment are the two most frequent advice moves in advice messages.

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FACTORS AFFECTING MOTIVATION OF ENGLISH-MAJORED STUDENTS TOWARDS LEARNING ENGLISH AT A UNIVERSITY IN THE MEKONG DELTA, VIETNAM
Authors: Dang Thi Bao Dung , Le Van Lanh , Ha Tuong Vy
Published: September 2021

It could be broadly accepted that motivation plays its fundamental role as one of the most important elements in foreign language learning. The present research investigated factors affecting motivation in learning English of freshmen at Tay Do University. The participants were 84 freshmen studying in Faculty of Linguistics and Literature. In the study process, these participants were given questionnaires which consisted of several statements related to the mentioned factors and the interview to get information. The collected data from the two instruments mentioned above were all analyzed afterward. The current study showed that there were elements that motivate freshmen towards English learning. Parental, environmental, teacher’s and intrinsic (personal) factors were examined. It is hoped that this research can be helpful for not only students but also teachers in learning and teaching English.

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PARENTAL INFLUENCE ON DRUG AND SUBSTANCE ABUSE AMONG SECONDARY SCHOOL STUDENTS IN KINANGO SUB-COUNTY, KENYA
Authors: Chapia Misango Nathan , Kimani Mwaura , Rop Naftali
Published: September 2021

The United Nations office on Drug and Crime estimates that 200 million people worldwide abuse drugs. Africa is a major supplier of drugs such as cannabis and cocaine which are the most widely abused. Large hauls of cannabis and cocaine have been discovered in East African region. In Kenya, findings show that drug and substance abuse is a major social problem. A report of survey on drug and substance abuse by NACADA, revealed that 32.4% of people aged between 18-28 years have consumed alcohol or other type of drugs and substances. Majority of secondary school students are in the age bracket 14-22 years, the group that is most affected. Drug and substance abuse is partly responsible for the riots, strikes, destruction and burning of property in secondary schools. The prevalence rate of drug abuse in Kinango Sub-County was 20.3%. The purpose of the study was to investigate parental influence on Drug and Substance Abuse among Secondary School Students in Kinango Sub-County Kwale County. Erickson’s theory on social development and Bandura’s Social Learning Theory (SLT) helped in explaining the findings of the study. A survey research design was employed for the study with the study population comprising of all secondary school students, heads of guidance and counselling departments and deputy principals in Kinango sub-county totalling 4,964 people. Four public secondary schools were selected through stratified random sampling. The sample size comprised of 4 deputy principals, 4 heads of guidance and counselling departments of the selected schools and 384 students selected by random sampling. Data was collected through questionnaires and an interview schedule. Validity of the instruments was ensured by using expert judgement of my supervisors. A mixed research methodology was used during data presentation where both descriptive and inferential statistics were used to make inferences and draw conclusions. This was done with help of SPSS version 23. The overall reliability of all the instruments had Cronbach’s alpha of 0.842 which was above the minimum threshold of 0.7. Validity was determined by; the Kaiser- Meyer-Olkim (KMO) Measures of Sampling Adequacy and Bartlett’s Test of Sphericity. Values of 0.787 and 0.000 were obtained respectively, which are acceptable indexes. It was established that there is statistically significant influence of parental influence on drug and substance abuse among secondary school students in Kinango sub-County from hypothesis one (p˂ 0.05). The study recommended that parents should abstain from drugs because they are role models of their children and that guidance and counselling should be strengthen in schools.

 

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