Reviewerly/exHarmony huggingface dataset:
Securing Internet of Things (IoT) Ecosystems: A Quantum Cryptography Approach

In order to strengthen the stability of IoT ecosystems, this study explores the interface between Internet of Things (IoT) security and quantum cryptography. Our study goals included assessing the applicability of quantum key distribution, correcting flaws, and investigating the influence of environmental variables on security. We reveal fascinating insights through experimental research that alter IoT security paradigms. A comparison of the typical key setup durations and data transmission rates across various IoT devices and communication protocols shows how effective quantum cryptography is in speeding up key distribution. This effectiveness fits the changing environment of secure communication technologies. Our vulnerability evaluation also shows that quantum key distribution is a potent defense against weaknesses like man-in-the-middle and replay assaults. It is made clear how contextual factors and security interact, emphasizing the importance of adaptable security measures in line with environmental circumstances. We present a comprehensive methodology that balances security with deployment circumstances by merging this contextual sensitivity with quantum cryptography concepts. Our research points to prospective directions for joint investigation between quantum physicists and IoT developers to close the gap between theoretical promise and actual use. Comprehensive insights will be obtained by scaling the use of quantum cryptography to larger IoT networks and other circumstances, but caution is needed to survive the upcoming quantum computing era. The study's conclusion ignites a paradigm change and pushes the quantum revolution into IoT security. Our research promotes more investigation, innovation, and application as we stand on the brink of a new era, protecting IoT ecosystems in a quantum-secure embrace.
Leading Through Uncertainty: Transformational Leadership and Cultural Resonance in Vietnamese Higher Education Post-COVID-19

&lt;p style="text-align: justify;"&gt;This study delves into the role of leadership in addressing disparities in higher education arising from the post-COVID-19 era, as experienced by Vietnamese lecturers. Drawing on qualitative data obtained through semi-structured interviews with 15 university lecturers across diverse regions and institutions in Vietnam, the research aimed to capture the essence of effective leadership behaviors during this unprecedented crisis. The study is underpinned by the Transformational Leadership Theory and Sociocultural Theory. Findings underscore the significance of visionary and inspirational leadership, emphasizing a clear direction amidst adversities. The importance of empathetic and supportive leadership, active faculty engagement, flexibility, commitment to capacity-building, and transparent communication emerged as paramount. Viewed through the theoretical frameworks, the results elucidate how leadership strategies resonated with both universal leadership principles and culturally specific Vietnamese values. The implications drawn highlight the need for adaptive and culturally attuned leadership in crisis scenarios, especially in academic settings. Though the study offers a profound understanding of leadership in a post-pandemic Vietnamese educational context, it also recommends expanded, diverse, and cross-cultural investigations to provide a more holistic perspective in future research endeavors.&lt;/p&gt;
Statistical Analysis of Population and Economic Growth in Ghana.

Purpose: The relationship between population and economic growth has been a subject of extensive research and debate for decades. Population of a country is driven by factors such as fertility rate, mortality rate and migration. Rapid population growth can strain resources, infrastructure, and social services, potentially hampering economic development. However, it can also create a demographic dividend when the working age population surpasses dependent age group, leading to increased productivity and economic growth.&#x0D; Methodology: The researchers performed statistical analysis on population and economic growth using Time Series. The study revealed that Ghana’s age profile is much concentrated at the youthful age, which is also the most fertile part of the age distribution.&#x0D; Findings: The Percentage Change of Population (PCPOP), Per Capita Gross Domestic Product (PCGDP) and Exchange Rate (EXCR) are statistically significant. Also Population and the economic growth in Ghana are inversely proportional to each other.&#x0D; Unique contributor to theory, policy and practice: Furthermore, the future values of the population of the country is relatively high for the next ten years and there is a negative correlation between the population and economic growth hence the future population is likely to face poverty. Stakeholders and policy makers are to ensure that future policies are directed towards Entrepreneurship and Skills Training to enable income generation in the Country.
Conceptualizing Information Systems as Biological Ecosystems - A ”New” Vocabulary for Speaking of Information Systems

Biological ecosystems and related concepts are well known and have been used for a long time, also outside of the ecology context. In this conceptual paper, we explore the use of biological ecosystem concepts as a new lens to understand and analyze information systems. We propose that applying a frame of reference from a different discipline enriches information systems analysis in several ways, firstly through broadening the perspective of information systems, secondly by offering connections to phenomena and areas that were previously outside of the scope of the information system, and lastly through offering a new viewpoint on actors, roles and functions within an information system. Further research is needed to deepen our understanding of the information system ecosystem and apply this approach to other business activities.
Strengths, Weaknesses, Opportunities and Threats to Blockchain in Industries Beyond Crypto

Despite the hype of the blockchain technology, the implementation and execution of blockchain technologies in sectors beyond cryptocurrency is lagging and below par. Understanding the reasons behind this lag is important to enable addressing any voids and enable making maximum use of the technology. We shed light on this void by trying to identify the strengths, weaknesses, opportunities, and threats (SWOT) faced by the use of blockchain technologies in industries beyond crypto, and thereby, draw insights valuable to develop a blockchain platform for healthcare.
A Lightweight Statistical Method for Terminology Extraction

We propose a method for the task of automatic terminology extraction in the context of a larger project devoted to the automation of part of the tasks involved in the production of terminological databases. Terminology extraction is the key to drafting the macrostructure of a terminological resource (i.e., the list of entries), to which information can be later added at the microstructural level with grammatical or semantic information. To this end, we developed a statistical method that is conceptually simple compared to modern neural network approaches. It is a lightweight method because it is based on term dispersion and co-occurrence statistics that can be computed with basic hardware. For the evaluation, we experimented with corpora of lexicography and linguistics in English and Spanish of ca. 66 million tokens. Results improve baselines in almost 20%.
On Methods of Data Standardization of German Social Media Comments

This article is part of a larger project aiming at identifying discursive strategies in social media discourses revolving around the topic of gender diversity, for which roughly 350,000 comments were scraped from the comments sections below YouTube videos relating to the topic in question. This article focuses on different methods of standardizing social media data in order to enhance further processing. More specifically, the data are corrected in terms of casing, spelling, and punctuation. Different tools and models (LanguageTool, T5, seq2seq, GPT-2) were tested. The best outcome was achieved by the German GPT-2 model: It scored highest in all of the applied scores (ROUGE, GLEU, BLEU), making it the best model for the task of Grammatical Error Correction in German social media data.
Images

In this chapter, we will add the ability to store image files for display in our blog posts. We will leverage the Active Storage gem to provide much of the functionality while working within our own image controller to serve up the image data and to handle missing images.
What Is Test-Driven Development?

Test-driven development is a powerful software development technique where the test (or spec) is written before the implementation code.
Advancements in Encryption Techniques for Enhancing Meteorological Data Security During Catastrophic Weather Events

With the widespread utilization of meteorological data across diverse fields, the imperative for ensuring its security and safeguarding privacy has escalated. Meteorological data encompasses a wealth of sensitive information, including frequency bands and the precise locations of sensing devices. Inappropriate handling of this data may engender profound ramifications for multiple stakeholders. Particularly in the face of severe catastrophic weather conditions, the conundrum of optimizing the analysis and transmission of critical meteorological data within the confines of finite resources and time constraints looms large, demanding immediate attention from researchers. This paper centralizes its focus on the analysis and storage of information derived from common meteorological devices, proposing a priority-weighted encryption strategy. Within this strategy, meteorological data attains the utmost degree of privacy attainment while concurrently improving encryption efficiency, even when faced with the stringent limitations of limited resources and time constraints during severe catastrophic weather events.
Regulating Free Speech in a Digital Age: Hate, Harm and the Limits of Censorship by David Bromell [Springer International Publishing, Cham, 2022, 229pp, ISBN: 978-3-030-95549-6, £64.99 (h/bk)]

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Analisis Bibliometrik Perkembangan Penelitian Intrusi Air Laut: Tren dan Pertumbuhan (1972-2023)

Abstrak – Intrusi air laut merupakan fenomena geologis yang memiliki implikasi signifikan terhadap wilayah pesisir dan sumber daya air tanah. Penelitian ini bertujuan untuk melakukan analisis bibliometrik tentang penelitian intrusi air laut dan mengungkapkan tren dan temuan penting dalam literatur ilmiah yang terkait. Metodologi penelitian mencakup pengumpulan data hingga analisis dan interpretasi. Data diperoleh melalui identifikasi dan pengumpulan artikel dari sumber data, seperti jurnal ilmiah dan prosiding dengan menggunakan database Scopus. Kriteria seleksi yang jelas diterapkan untuk memilih artikel yang relevan, termasuk pembatasan jenis publikasi, bahasa, dan kriteria topik. Analisis bibliometrik dilakukan dengan menggunakan aplikasi Bibliometrix berbasis R, yang melibatkan analisis jumlah publikasi per tahun, produktivitas penulis, jurnal yang paling sering mempublikasikan penelitian, serta analisis kata kunci dan sitasi. Hasil analisis mengungkapkan pertumbuhan yang signifikan dalam penelitian intrusi air laut selama periode tertentu, dengan tingkat pertumbuhan tahunan sebesar 11,03%. Hasil analisis mengidentifikasi empat kelompok tema yang relevan untuk arah penelitian dan kolaborasi dalam bidang ini. Kata Kunci : Intrusi air laut, Analisis bibliometrik, Tren penelitian Abstract –Seawater Intrusion is a geological phenomenon with significant implications for coastal regions and groundwater resources. This research aims to conduct a bibliometric analysis of seawater intrusion research and unveil key trends and findings within the relevant academic literature. The research methodology encompasses data collection, analysis, and interpretation. Data is gathered through the identification and collection of articles from sources such as scientific journals and proceedings using the Scopus database. Clear selection criteria are applied to choose pertinent articles, including constraints on publication type, language, and topic criteria. The bibliometric analysis is executed employing the Bibliometrix application based on the R platform. This analysis encompasses the examination of the number of publications per year, author productivity, the most prolific journals in publishing research in this domain, as well as the analysis of keywords and citations. The results of this analysis disclose a substantial growth in seawater intrusion research during a specific period, with an annual growth rate of 11.03%. Furthermore, the analysis identifies four distinct thematic groups that are pertinent to the research direction and collaboration within this field. Keywords : Seawater Intrusion, Bibliometric Analysis, Research Trends
"Mann Ki Baat Unveiled: A Deep Dive through Text Analysis"

Sentiment analysis is an area of the processing of natural language that facilitates comprehension of human feelings, opinions, and thoughts. Such analysis is crucial for social campaigns or situations with large target audiences. Thus, we have assessed the effectiveness of the various "Mann Ki Baat" episodes that the Indian Prime Minister launched in 2014. The situation has changed as a result of the prime minister of India using All India Radio, or AIR, as a popular communication medium. Public broadcasting has been revitalized by it thanks to the show "Mann Ki Baat (MKB)". Prime Minister Narendra Modi's radio program "MKB" is renowned for expressing the concerns and problems of the majority and serving as a platform for the PM to speak with the general public. In contrast to Twitter and Facebook, the Indian prime minister is attempting to engage directly with the country through this monthly radio program. However, in order to reach and assist the poorest of the poor, he required the majority of the modest radio in the most remote region of India. The judgment has benefited from his acute awareness of how radio impacted society. More than 80 episodes have aired since 2014, and both the amount of content and the level of personal connection to the viewers keep increasing. Thus, it is imperative to examine this monthly radio show as an effective means of fostering a relationship among 'the mass' and the Prime Minister with respect to MKB broadcasts. The goal of this work is to perform an MKB program sentiment analysis. Through a constructed and constantly collected method, the content of 24 selected broadcasts of the MKB program was chosen for analysis from October 2014 to June 2020. This study's content analysis could be useful in estimating and comprehending the results of these discussed topics and problems in MKB. It also looked at how the administration's ideas are exposed and how the Mann Ki Baat initiative helps fund open telecom media.
NONLINEAR STABILITY CONTROL OF INVERTED PENDULUM ON A CART USING LQR-BASED T-S FUZZY CONTROL

The inverted pendulum on a cart is a challenging and widely studied control problem in the fields of control systems and robotics. To address the need for more effective control strategies, this paper presents a novel approach that combines the strengths of two powerful control techniques: Linear-Quadratic Regulator (LQR) and Takagi-Sugeno (T-S) fuzzy control. LQR control is well-established for stabilizing linear systems, but it faces limitations with nonlinear systems like the inverted pendulum. On the other hand, T-S fuzzy control excels in handling nonlinearities by approximating the system's behavior with local linear models. Our proposed approach leverages T-S fuzzy systems to approximate complex nonlinearities, while using LQR control for each local linear subsystem. The combined method's efficacy is substantiated by simulation results, specifically considering criteria such as stability under disturbance conditions, variations in the initial angle of the pendulum, and a comparative analysis between stability-only scenarios and those involving both swing-up and stability control.
Perbedaan Hasil Pewarnaan Hematoxylin Eosin (HE) Pada Histologi Kulit Mencit (Mus Musculus) Berdasarkan Ketebalan Pemotongan 3 Μm, 6 Μm Dan 9 Μm

Sectioning is a step that must be passed before staining Hematoxylin Eosin (HE). The aim of this study was to determine differences in the results of Hematoxylin Eosin (HE) staining in mice skin histology (Mus musculus) based on the thickness of the microtome sections of 3 μm, 6 μm, and 9 μm. Experimental research, true experimental research design post test only control group design. The research sample was mice skin preparations (Mus musculus). Primary data collection, cutting of skin preparations using a microtome and staining Hematoxylin Eosin (HE). Field readings were carried out at 400x magnification (40x objective). Data was processed using Kruskal Wallis and Man Whitney. The average value of 6 μm nuclear cutting was 1.44, cytoplasm was 1.15 and color uniformity was 3. The results showed an abnormal distribution, the Kruskal Wallis test (p=0.008) there was a difference in the quality of staining in the 3 μm, 6 μm and 9 μm. The Man Whitney test for the 3 μm and 6 μm microtome cutting groups (p=0.412) showed no difference in the group, the 6 μm and 9 μm microtome cutting groups (p=0.004) there were differences in the group, the 3 μm and 9 μm cutting groups ( p=0.004) there was a difference in the cutting group. The conclusion of this study was that 6 μm microtome cutting produced preparations with better staining quality compared to 3 μm and 9 μm microtome cutting.
Design of Digital Control System for Line Following Robot

Design of mobile robots has become an increasingly growing trend in the technology of modern times. They are very attractive engineering systems, not only because of many interesting theoretical aspects concerning kinematics, intelligent behavior and autonomy, but also because of applicability in many human activities. A typical example is the line following robot (LFR). In order for a LFR to function effectively, it must demonstrate excellent line tracking control. This is achieved by having accurate and responsive control algorithms as well as high precision color sensor systems. This paper proposes a system to show that good line tracking performance can be achieved with moderately simple digital control algorithms. The platform used is a differentially driven wheeled robot constructed using the Lego Mindstorms components. The simulation models are presented and analyzed using MATLAB Simulink . The main programming environment is the EV3 Software.
Draft program complex for generating Turing machines solving NP-hard problems

This paper provides an overview of the progress made in the software implementation of the concept for generating Turing machines that solve NP-hard problems. Plans are discussed for developing a software package for generating Turing machines, with the potential to serve as an open-source educational platform for learning algorithm theory and information technologies. The proposed program complex also encompasses the opportunity for interested individuals to conduct experiments aimed at determining the NP-hardness of specific problem series generated by Turing machines; participating in the generation of Turing machines and solving NP-hard problems on personal computers; transferring the calculation results to a platform, similar to the generator of cryptocurrencies, which focuses on searching for timeless mathematical objects, instead of creating artificially generated blocks of numbers for a short period. It is noted that the idea of using constraint satisfaction methods to generate Turing machines for solving tape NP-hard problems extends the boundaries of constraint programming. Furthermore, it holds the potential for contributing to the resolution of the long-standing question regarding the equality of polynomial and NP-hardness (P =? NP) – one of the seven unsolved problems of the third millennium in mathematics to this day.
Literature Review: Hubungan Kadar D-Dimer dengan Tingkat Keparahan Pasien Covid-19

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) causes Corona Virus Disease-19 (COVID-19). D-dimer is one of the hemostasis tests performed on patients infected with the disease, it is a product of fibrin degradation and a biomarker of platelet disorders. With the development of COVID-19 as a pandemic, D-dimer has become an indicator for prognosis in COVID-19 patients. Based on symptoms, the severity of COVID-19 patients consists of mild, moderate, and severe symptoms. The author conducted a literature review regarding the correlation between D-dimer levels and the severity of COVID-19 patients. Data and theory were taken from ten references from several databases: Google Scholar, PubMed, Semantic Scholar, Science Direct, Garuda, and Neliti. The references taken were from the 2020-2022 range. In all of these references, statistical test results were obtained with a significant value below 0.05, so it can be concluded that there is a correlation between D-dimer levels and the severity of COVID-19. In COVID-19 infections with severe symptoms, immunothrombosis can occur due to hyperinflammatory conditions and cytokine storms. Immunothrombosis occurs as a result of the body's defense against viral infections. Damage to lung tissue in COVID-19 patients triggers a procoagulant response associated with inflammatory cytokines in blood vessel tissue.
The role of financial accounting technology in improving customer relationship management in Jordanian banks

This study aims to investigate the role of financial accounting technology in improving customer relationship management (CRM) in Jordanian banks. The study used a questionnaire survey based on previous relevant literature to obtain the necessary data. Using a quantitative analysis method, a random sample of 113 employees working in Jordanian banks was selected. The bootstrapping method was used to investigate the connection between financial accounting technology and CRM. To comprehend the significance levels, the path coefficients, T-values, and p-values are the most typical outcomes in the structural model. The direct effects showed that financial accounting technology, including innovation, flexibility and transparency, had a significant positive effect on CRM. In line with the results, relying on financial accounting technology in banking transactions enables the creation of global electronic markets that contribute to economic growth, and banks' use of financial accounting technology can provide high-quality services for customers. The outcome of this study lays the groundwork for future research to advance the knowledge in this field.