bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of physiotherapeutic treatment on the quality of life in a patient with antiphospholipid syndrome: A case report
Authors:   Second Clinic of Physical and Rehabilitation Medicine, Department of Orthopedics, Traumatology, Reconstructive Surgery and Physiotherapy Military Medical Academy, Sofia, Bulgaria., Milanova Hristina
Published: May 2024

Antiphospholipid syndrome (APS) is a systemic autoimmune disease with elevated levels of antiphospholipid antibodies (aPL). The chronic course, multisystem involvement, limitation of physical activity and frequent fatigue lead to reduced health-related quality of life. There is insufficient scientific evidence in the literature regarding the feasibility and safety of using physical rehabilitation factors and their impact on functional activity and quality of life in these patients.
Analysis of the Impact of ESG Performance on Financial Market Stability from the Perspective of Multivariate Statistical Models
Authors: Dong Wei
Published: May 2024

The stability of the financial markets is impacted by environmental, social and governance (ESG) performance, which also lowers the risks associated with social injustice, climate change and poor corporate governance. Companies that prioritize ESG standards have a higher probability of being resilient to market shocks, attracting responsible investors and contributing to long-term sustainable economic growth. By the utilization of multivariate statistical models, we seek to execute thorough analysis in this study to assess the effect of ESG performance on financial market stability. The sample that was selected comprises various categories of companies. Financial in sequence from the stock market is retrieved; include balance sheets, cash flow statement and income statements. An ESG rating is also acquired for the inquiry. The collected data were evaluated using a multivariate regression analytical representation. Our empirical methodology ensures robustness in identifying the complicated relationships between ESG performance and financial market stability, providing expensive insight into the dynamics of Chinese A-share organizations. The result express that increasing the ESG rating reduces financing limitations such as financial insecurity, increases future risk resistance and improve the company’s standing for obtaining a commodities premium. The association determines that an advanced ESG rating leads to enhanced financial market stability, which in turn contributes to the stock market concert. This underscores the essential roles of ESG consideration in attractive market resilience and financial market stability.
Exploring the role of artificial intelligence in the protection of intangible cultural heritage through short video communication
Authors: Wenyu Tang
Published: May 2024

The preservation of intangible cultural heritage (ICH) has gradually shifted to digital innovations in the era of expanding information technologies (IT). This study uses brief video communication to investigate the function of artificial intelligence (AI) in ICH protection. A social networking platform is connected with the AI-driven method. This study comprises instances of short videos and concentrates on essential components like musical instruments and traditional music. Next, the linguistic (text) and visual aspects of the short videos are evaluated using computer vision techniques like You only look once (YOLO) network and natural language processing (NLP) approaches. We use AI-driven analysis to find trends in the data, and we also use qualitative analysis to present it. The random forest (RF) model is developed to assess the heritage transmission level in the videos based on factors like security and cultural importance. The outcomes of the RF model are analyzed in terms of precision, accuracy, and f-measure metrics. Additionally, performance comparisons of the allocation of traditional musical instruments under different production types are carried out, and outcomes are also obtained visually using data visualization tools. This study finally shows how AI can be used to enhance ICH safety through short video communication technology.
An Analysis of Network Protocol Vulnerability Mining Using Fuzz Testing Combined with Deep Learning Models
Authors: Ya Ma
Published: May 2024

The protection of industrialized management systems and related network protocols is guaranteed by vulnerability mining innovation. The inadequate receiving efficiency and insufficient vulnerability mining capacity of vulnerability mining strategies are their drawbacks. So, this study analyzes the network protocol vulnerability mining using fuzz testing combined with deep learning (DL). In this study, Modbus TCP is employed as a network protocol regarding vulnerability mining. This paper presents a unique threshold-sample-driven deep neural network (T-s DNN) framework. Based on the TSDNN, we construct a fuzzing framework (T-s DNN Fuzzer) for Modbus TCP protocols. The DNN algorithm is first trained to understand the meaning of the protocol's data unit using this framework. The likelihood distribution of every value in the information is quantified using the softmax mechanism. The technique then examines the highest likelihood and the random variable's threshold in deciding whether to use the information value with the optimal likelihood in place of the existing information value. The MBAP header has been finished by the protocol standard. Fuzz tests demonstrate that in addition to increasing sample receipt levels and exploitability, fuzzing devices can identify protocol vulnerabilities rapidly. Experiments conducted with the T-s DNN fuzzer demonstrate that it can detect industrial control protocol vulnerabilities greater in addition to increasing test case reception scores and exploitability.
Image Deblurring Based on Efficient Transformer and Multi-scale CNN
Authors: Fukang Tong
Published: May 2024

The study of image deblurring techniques in dynamic scenes is a high-profile research direction. Recently, given the excellence of Convolutional Neural Networks (CNNs) in extracting feature information, it has become a common and effective practice to utilize them for blurred image restoration work. However, CNN can only model local information and has a limited receptive field, which inhibits the deblurring effect. Transformer can model global information, so it can be combined with CNN to expand the receptive field and enhance the deblurring effect. Unfortunately, as the spatial resolution of the input image increases, the computational complexity of the Transformer increases dramatically, showing a trend of square-level growth, which makes it difficult to cope with the task of processing high-resolution images. To address the above problems, this paper proposes an image deblurring network based on efficient Transformer and multi-scale CNN called ET-MIMO-UNet. The local spatial features are extracted using multi-scale CNN and embedded into the global characteristics of the Transformer, modelling both local and global information. To solve the problem of difficult training due to large image size and to improve the computational efficiency, an efficient Transformer layer (ETL) is designed, which contains a multi-dconv head transposed attention (MHTA) and a gated-dconv feed-forward network(GFFN). In addition, a multi-layer feature fusion block (MFFB) is introduced to fuse full-scale features and reduce feature loss. On the GoPro test dataset, compared with the MIMO-UNet base network, the PSNR of the three models of ET-MIMO-UNet is improved by 0.39dB, 0.54dB, and 0.66dB, respectively; ET-MIMO-UNet reduces the number of parameters by half compared with MPRNet. The experimental data fully proved that the method demonstrated a significant processing effect in coping with the image-blurring problem in dynamic scenes.
Big Data Analysis: The Impact of Agricultural Non-point Source Pollution on Household Decision-making
Authors: Ying Wang
Published: May 2024

Based on intergenerational support theory, a simultaneous equation model is used in this article to analyze the impact of fertilizer loss on household medical and care decisions in rural China. Results of the big data empirical analysis indicate that one kg/ha increase in fertilizer loss alters the medical costs by CNY 35 (USD 5) per year and the opportunity cost of household caring time by CNY 5 (USD 0.7) per year. This is equivalent CNY 760 million (USD 109 million) at nation economic loss. Furthermore, fertilizer loss has a significant lag and cumulative impact on medical expenses.
Research on the Application of Virtual Anchors based on Artificial Intelligence Technology in Live Streaming E-commerce
Authors: Ying Li
Published: May 2024

With the increasing training and labor costs of live streaming e-commerce industry anchors, as well as the continuous progress of artificial intelligence technology, virtual live streaming anchors have gradually become the new favorite of live streaming e-commerce enterprises due to their strong stability and low cost characteristics. In this context, this article takes virtual anchors in live streaming e-commerce as the research object, and uses literature research and case analysis methods to study the application of virtual anchors. This article analyzes the current application status of virtual anchors in live streaming e-commerce, and analyzes the problems that exist in the application process, such as weak social functions of virtual anchors, low number of main consumer users, low degree of differentiated competition, and facing information security governance risks. Finally, based on the current reality of virtual live streaming e-commerce, strategies and suggestions are proposed to optimize the use of live streamers and virtual streamers, select appropriate product categories for virtual streamers, strengthen the cultivation of virtual live streaming operation talents, and build a diverse collaborative governance framework to enhance the application of virtual streamers.
Problems and Optimization Strategies in the Construction of MOOC Quality Courses in Universities under the Perspective of Online Education
Authors: Han Zhou
Published: May 2024

With the widespread popularity of the internet and smart electronic devices in China, the construction of MOOC quality courses in Chinese universities has developed rapidly with significant achievements. However, in the swift advancement of MOOC quality course construction in Chinese universities, some problems have gradually surfaced. This paper takes the “Chinese University MOOC” platform course “Performance and Appreciation of Chinese National Female Soprano Works” as a research case to discuss the existing problems in the construction of MOOC quality courses in Chinese universities. The results indicate that low registration numbers of learners, a student structure dominated by students from the host university, low participation in tests and assignments, and unsatisfactory interactive communication are the main existing problems. The primary causes of these issues include the focus of MOOC quality course construction primarily on students from the host university, neglecting social learners; an emphasis on construction over management, neglecting the organization and management of the teaching process; and excessive reliance on the MOOC platform for course promotion. Based on this, optimization suggestions are proposed, mainly to enhance the integration of MOOC course content, strengthen the organization and management of the MOOC course teaching process, innovate MOOC teaching models combining online and offline methods, and promote MOOC courses through multiple pathways and channels.
Consumer’s Cognitive and Affective Perceptions of Artificial Intelligence (AI) in Social Media: Topic Modelling Approach
Authors: Sohaib Mohanna
Published: May 2024

This study aimed to examine consumer perceptions of artificial intelligence (AI) by analyzing YouTube comments using topic modeling. A natural language processing model called BERTopic was employed to identify latent topics in a total of 93,729 English-language comments. These comments were posted on 20 popular AI-related videos, each of which had over 1 million views, between January and December 2021. The analysis of the comment data yielded five major themes, each with its corresponding percentage representation. The first theme, accounting for 27.2% of the comments, revolved around the fear of AI superiority, reflecting concerns about AI surpassing human control. The second theme, comprising 13.4% of the comments, focused on anthropomorphism and the uncanny valley effect, indicating mixed emotions towards human-like robots. The third theme, representing 31.7% of the comments, highlighted AI bias and hallucinations, shedding light on the impact of AI inaccuracies on trust. The fourth theme, accounting for 17.2% of the comments, addressed ethical and moral concerns, particularly concerning AI development and oversight. Lastly, the fifth theme, encompassing 10.5% of the comments, explored AI trustworthiness, emphasizing the reliability of AI in decision-making processes. Based on the findings, this study challenges previous research that primarily reported positive AI experiences. It quantitatively identifies complex negative emotions towards AI technologies across diverse user demographics. Furthermore, it expands our understanding of how anthropomorphism and AI "hallucinations" influence trust, which are critical issues as AI becomes increasingly integrated into society. The application of BERTopic enabled nuanced modeling of online discourse, bridging gaps in our knowledge regarding consumer perceptions of emerging technologies on a large scale. In terms of novelty, this study is the first to utilize BERTopic modeling to uncover consumer experiences with AI by analyzing social media comments on a large scale. The insights obtained from this approach offer compelling new perspectives compared to previous research in this field.
Performance assessment of monolayer Black Phosphorus DG-JLFET
Authors: Pankaj Kumar Sanda
Published: May 2024

Two-dimensional materials are very promising for ultra-short channel future devices. This paper investigates, for the first time, the viability of the junction less transistors based on 2-D materials for future state-of-the-art technology nodes. Specifically, we investigate the performance of a Junction less monolayer black phosphorus (BP) FET (JLFET) with 12nm gate length using ab initio quantum transport simulations. The electrostatic control mechanism of the device and various intrinsic static and dynamic characteristics of the device are studied. The results reveal that BP JLFET performance can fulfill the benchmark requirement of International Roadmap for Devices and Systems (IRDS 2021) for 2028 in terms of HP and HD applications. Therefore, JLFET based on 2D materials can be a promising alternative for nano scale future device applications.
Comparative analysis of PMOS and NMOS based linear regulators with similar power profiles
Authors: Guruprasad
Published: May 2024

In his article, a comparative analysis of PMOS and NMOS based linear voltage regulators is presented. An output power of 18 mW is considered in the both cases. In PMOS based regulator, the output voltage is 1.6 V and output current is 11.25 mA, whereas in NMOS, they are 1 V and 18 mA respectively. Firstly, a conventional linear regulator is designed with PMOS as pass element and its stability and various performance parameters are analyzed. SPICE simulation is carried out to measure parameters and they are tabulated for the comparison. Similarly, another linear regulator is designed where pass element is a NMOS transistor. After the analysis of stability and performance parameters, SPICE simulation is conducted. The performance parameters of both regulators are compared and it is found that NMOS regulator exhibits better performance but low dropout feature of PMOS regulator makes it suitable for low power applications
Standard Essential Patents Data Study of the Impact of Artificial Intelligence on Intelligent Connected Vehicle Technological Advancement
Authors: Liangliang Wang
Published: May 2024

This research employs a machine learning-based text mining algorithm and the international patent classification (IPC) co-occurrence network approach, utilizing patent documents submitted from 2015 to 2022 to empirically examine the influence of artificial intelligence (AI) on modern electric car progress. The research illustrates the dynamically shifting structure of the fusion of AI and electric car technology and indicates how AI has impacted electric car technological advancement through time. It is based on classified artificial intelligence techniques. This research shows that artificial intelligence speeds up the automated process of driving in electric cars, that the AI technique often employed in electric vehicles has undergone modifications long period, and that the technical aspects of electric cars that AI impacts have shifted as well.
Emotion Detection Through Electrocardiogram Signal Classification in an IOT Environment with Deep Neural Networks
Authors: Aloy Anuja Mary G
Published: May 2024

An ECG detects the health and rhythm of the heart by measuring the electric activity of the heart. It has also been demonstrated that a person's emotions may influence the electrical activity of the heart. As a result, studying the electrical behaviour of the heart may simply determine a person's cardiac state and emotional wellness. IoT is a new technology that is quickly gaining acceptance throughout the world. Anybody, at any time, from anywhere, may connect to any network or service because to the extraordinary power and capacity of IoT. IoT-enabled devices have revolutionized the medical business by providing new capabilities such as remote patient monitoring and self-monitoring. This research proposed an IoT-based ECG monitoring system that employs a heart rate sensor to generate data and an intelligent hybrid classification algorithm to categorize the data. ECG monitoring has become a widely used method for detecting cardiac problems. The following are the primary contributions of this paper: To begin, this paper describes WISE (Wearable IoT-cloud-based health monitoring system), a one-of-a-kind system for real-time personal health monitoring. WISE makes use of the BASN (body area sensor network) technology to provide real-time health monitoring. WISE rapidly transfers data from the BASN to the cloud, and a lightweight wearable LCD may be included to enable quick access to real-time data. This model can address the issue of class imbalance in the ECG dataset, assisting in the development of an IoT-based smart and accurate healthcare system. Pre-processing, feature extraction, and classification are the three steps in any classification technique, whether it is emotion classification or heart health classification. Sensors are used to collect an ECG signal from a person's outside body. The provided ECG signal is first pre-processed using the Butterworth Filtering Method, which effectively reduces noise from the signal. Following pre-processing, the Adaptive Discrete Wavelet Transform technique is used to anticipate the signal's attributes. Lastly, a decision making classification approach based on relational weights is used to determine if the ECG signal is normal or abnormal.
Optimizing Cloud Computing Resources: An Energy Efficient Multi-QoS Factor-Based VM Placement Strategy
Authors: Manpreet Kaur
Published: May 2024

Cloud computing is experiencing unprecedented demand, offering scalable and flexible resources for a wide range of applications. However, this surge in demand has raised concerns about energy consumption and the need for environmentally sustainable solutions. Green computing has emerged as a critical consideration in this context. Virtual Machine Placement (VMP) is a key component of optimizing cloud resources, aiming to allocate virtual machines efficiently while minimizing energy consumption, cost, and load balancing. This paper addresses the VMP problem by introducing a novel approach based on multifactor optimization, specifically the Diversity Constraint Digger Snake Optimizer (DCD-SO). It offers an innovative perspective on optimizing virtual machine placement by considering energy efficiency, load balancing, and resource utilization simultaneously with the aim to reduce VM migration count, time and cost. Proposed method provides a more comprehensive and sustainable solution, aligning with the principles of green computing. Through extensive simulations and experiments, we have rigorously evaluated the performance of DCD-SO in comparison to traditional optimization techniques such as Particle Swarm Optimization (PSO) and Snake Optimization. In our analysis of actual cloud environments, we compared the results of our method with existing state-of-the-art techniques. Result outcomes determine showed that proposed approach has reduced migration count of 5 and 3 for scheduling 42VMs and 84VMs on 16 and 32 host units respectively than traditional MOGANS, GA-S, GA-N and GA-NN methods. This comprehensive evaluation reinforces the effectiveness and practicality of our approach in addressing the intricate challenges of Virtual Machine Placement (VMP) in dynamic cloud computing settings. As cloud computing continues to evolve, our study contributes to more sustainable and efficient resource management, addressing both current demands and future needs.
Study of Biogas Production from Bagasse and Filter Cake
Authors: Maninder Kaur
Published: May 2024

Bagasse, an abundantly available crop residue has a high potential that remains unutilized or burnt as fuel. The complex structure of bagasse poses recalcitrance to its sustainable utilization through anaerobic digestion. So, to enhance biogas production 2% NaOH pretreatment of bagasse and filter cake were carried out in this study at ambient temperature for a day. Biogas production was observed for 35 days of retention period at mesophilic temperature in batch process mode. Proximate analysis and analytical techniques such as Fourier Transform Infra-Red (FTIR) were used to characterize the residues and observe the effect on chemical structures of pretreated bagasse and filter cake respectively. Raw Filter Cake was found to produce the highest biogas production.
Performance Analysis Project of OCR and DGR Protection Settings on Tristex Feeder of New Substation Using Digsilent Power Factory Software
Authors: Pawenary
Published: May 2024

Increasing the reliability of the electricity system is very important in maintaining a stable and guaranteed electricity supply. One important factor in the electrical protection system is the setting of over current relay (OCR) and directional ground relay (DGR) settings. This study aims to analyze and evaluate the performance of the OCR and DGR protection settings on the New Pandaan Tristex Substation using DIgSILENT software. The method used in this      research is modeling and simulation using DIgSILENT software. Relevant data and electrical system parameters are obtained from reliable sources. OCR and DGR protection settings are evaluated by considering protection needs through simulation analysis of fault conditions and normal operation. Tristex feeder is one of the feeder in GI New Pandaan with a total length of 2.415 km. The calculation results for the OCR setting on the incoming 20 kV side obtained for the TMS value = 0.20 while for the OCR setting on the 20 kV feeder side obtained the TMS value = 0.15. Then for the DGR setting on the incoming 20 kV side, the TMS value = 0.26 is obtained, while for the DGR setting on the 20 kV feeder side, the TMS value = 0.10 is obtained.
Retracted
Authors: Retracted
Published: May 2024

Retracted
Composição físico-química do vinho elaborado com a videira ‘Sauvignon Blanc’ em função do aumento da carga de gemas
Authors: Würz Douglas André , Brighenti Alberto Fontanella , Rufato Leo
Published: May 2024

O objetivo deste trabalho foi avaliar o efeito do aumento da carga de gemas na composição físico-química do vinho elaborado com a videira ‘Sauvignon Blanc’. O trabalho foi conduzido durante o ciclo 2016/2017, em um vinhedo comercial, localizado no munícipio de São Joaquim, SC. Os tratamentos consistiram em quatro níveis de poda: 15, 30, 50 e 75 gemas planta-1. Após seis meses do processo de elaboração, as amostras foram analisadas em triplicata quanto a acidez total, açúcares redutores, teor alcoólico, densidade relativa, extrato seco, cinzas, pH, glicerol, polifenóis totais e coloração. Verificou-se que cargas de 30 a 50 gemas plantas-1 resultaram em vinhos com maiores teores de glicerol e pH, com redução da acidez total. Os dados observados em todos os tratamentos são considerados adequados para vinhos brancos de qualidade, indicando, portanto, que é possível aumentar os índices produtivos, o que possibilita maior rentabilidade ao viticultor.
Série Felix
Authors: Denardi Frederico , Kvitschal Marcus Vinícius , Couto Marcelo
Published: May 2024

Por ser uma espécie alógama e portadora de autoincompatibilidade gametofítica, a macieira (Malus x domestica Borkh.), via de regra, só frutifica satisfatoriamente na presença de outro cultivar usado como polinizador. Para ser eficiente, este cultivar polinizador precisa ter floração coincidente e compatibilidade gametofítica com o cultivar produtor, além de produzir flores e pólen em abundância. O objetivo deste trabalho é apresentar a Série Felix de cultivares polinizadores semissilvestres desenvolvidos pela Epagri. Além de possuírem pouco requerimento de frio hibernal e ser resistentes às principais doenças, esses cultivares têm floração intensa e prolongada, e possibilitam boas combinações de compatibilidade gametofítica com os cultivares comerciais de macieira. Estas características conferem aos cultivares da série Felix boa adaptação climática à maioria das regiões de cultivo de macieiras no sul do Brasil e alto potencial de uso como polinizadores para os cultivares comerciais Gala e Fuji, bem como para os novos cultivares híbridos melhorados, desenvolvidos pela Epagri. Os cultivares Felix 3 e Felix 4 foram os que mostraram maior potencialidade de aplicação como polinizadores para os cultivares comerciais considerados, não sendo apropriados apenas para a polinização do cultivar Daiane, que tem o período de florescimento mais tardio.
慰藉鄉愁以文學—論呂則之《海煙》中的澎湖文化
Authors: 王絲嬋 王絲嬋
Published: May 2024

呂則之（1955－）是澎湖文學及海洋文學極具代表性的作家，自1983年迄今，出版九部長篇小說，其內容緊繫澎湖和海洋，是典型的澎湖文學，因此不難在其中看見澎湖文化產物的足跡。對記憶中的家鄉的書寫，無疑是呂則之最大的貢獻之一，這些著作將成為珍貴的地方資產。《海煙》（1983）是呂則之的第一部小說，葉石濤評其為「一部臺灣文學史上未曾出現過的海洋為主題的小說，暗示在臺灣文學的領域上可以開拓的一條新路」；龍應台讚之「為澎湖立傳」。本文藉由討論《海煙》中的文化產物，試圖探索澎湖文化，可以發現呂則之在在刻劃了澎湖的歷史踏痕，某方面來說，更建構了澎湖人的記憶。探析呂則之的小說，不僅可以挖掘澎湖的歷史記憶、發展條件和居民的生活樣態，更可以看出他對家鄉的深厚情感。

 
Bauerngeschichte mit besonderer Berücksichtigung von Hohenlohe
Authors: Schumm Karl
Published: May 2024

Band II. Wilhelm Abel: Geschichte der deutschen Landwirtschaft vom frühen Mittelalter bis zum 19. Jahrhundert. 2. Aufl. 1967. 361 S., 41 Abb., 16 Tfl., DM 48,-.
Band III. Friedrich Lütge: Geschichte der deutschen Agrarverfassung vom frühen Mittelalter bis zum 19. Jahrhundert. 2. Aufl. 1967. 323 S., 7 Abb., 8 TfL, DM 44,-.
Band IV. Günther Franz: Geschichte des Deutschen Bauernstandes vom frühen Mittelalter bis zum 19. Jahrhundert. 1970, 288 S., 20 Abb., 15 TfL, DM 52,-.
Wolfgang Saenger: Die bäuerliche Kulturlandschaft der Hohenloher Ebene und ihre Entwicklung seit dem 16. Jahrhundert. 1957. 24 Karten, 12 Abbildungen
Kurt Hornich: Die bäuerliche Kulturlandschaft des Taubertals. 1965. 120 S. 9 Karten
Albrecht Engel: Die Siedlungsformen im Ohrnwald. 1964. 122 Seiten. 18 Karten. Geographisches Institut der Universität Tübingen.
Helmut Weik: Die Agrar- und Wirtschaftsverhältnisse des Fürstentums Hohenlohe im 18. Jahrhundert. Diss. der Universität Köln. 1969. 227 S. 11 Abb
D. C. Amzar: Der Walachische Fremdenroman Joh. Friedr. Mayers. Beiträge zur Geschichte der deutsch-rumänischen Beziehungen. 164 S. 1961.
Peter Steinle: Die Vermögensverhältnisse der Landbevölkerung in Hohenlohe im 17. und 18. Jahrhundert. 1971 (Forschungen aus Württ. Franken Band 5). 235 S. 36 Tabellen. 23 Abb. Schwäbisch Hall Eppinger. DM 18,-.
Gustav Adolf Thumm: Die bäuerlichen und dörflichen Rechtsverhältnisse des Fürstentums Hohenlohe. Im 17. und 18. Jahrhundert
Rezension von: Weller, Karl; Weller, Arnold, Württembergische Geschichte im südwestdeutschen Raum
Authors: Wunder Gerd , Weller Karl , Weller Arnold
Published: May 2024

Karl Weller und Arnold Weller: Württembergische Geschichte im südwestdeutschen Raum. 6. völlig neu bearbeitete Auflage. Stuttgart-Aalen: Theiß 1971. 392 S. Ill. DM 32,-.
Rezension von. Bengel, Johann Albrecht, Gnomon
Authors: Treumann Ralf , Bengel Johann Albrecht
Published: May 2024

Johann Albrecht Bengel: Gnomon. Auslegung des Neuen Testaments in fortlaufenden Anmerkungen. Deutsch von C. F. Werner. 8. Auflage. Mit einem Vorwort von Egon W. Gerdes. Band 1: Evangelien und Apostelgeschichte. 748 S. Band 2: Römerbrief bis Offenbarung. 958 S. Stuttgart: J. F. Steinkopf.
Rezension von: Greiner, Karl, Die Glashütten in Württemberg
Authors: Wunder Gerd , Greiner Karl
Published: May 2024

Karl Greiner: Die Glashütten in Württemberg (Veröffentlichungen zur Geschichte des Glases und der Glashütten in Deutschland Bd. 2). Wiesbaden: Steiner 1971, 73 Seiten, 67 Tfl. DM 28,-.
Rezension von: Knoblauch, Eberhard, Die Baugeschichte der Stadt Öhringen bis zum Ausgang des Mittelalters
Authors: Schweizer Rolf , Knoblauch Eberhard
Published: May 2024

Eberhard Knoblauch: Die Baugeschichte der Stadt Öhringen bis zum Ausgang des Mittelalters. Dissertation der Universität Stuttgart. Textband 621 S., Bildband, Querfolio, 196 Abb.
Rezension von: Goldammer, Heinz, Die evangelische Gemeinde zu Mergentheim und ihre Deutschordens-Schloßkirche
Authors: Ulshöfer Kuno , Goldammer Heinz
Published: May 2024

Heinz Goldammer: Die Evangelische Gemeinde zu Mergentheim und ihre Deutschordens-Schloßkirche. Herausgegeben von der Evangelischen Kirchengemeinde Bad Mergentheim. 1970. 127 S. Ill.
Rezension von: Lederer, Wilhelm, Kulmbach vor und nach der Stunde Null
Authors: Wunder Gerd , Lederer Wilhelm
Published: May 2024

Wilhelm Lederer: Dokumentation 1945. Kulmbach vor und nach der Stunde Null. (Die Plassenburg 29.) Kulmbach 1971. 272 S. Ill.
Rezension von: Bischoff, Johannes, Genealogie der Ministerialen von Blassenberg und Freiherren von (und zu) Guttenberg 1148 - 1970
Authors: Wunder Gerd , Bischoff Johannes
Published: May 2024

Johannes Bischoff: Genealogie der Ministerialen von Blassenberg und Freiherrn von (und zu) Guttenberg 1148-1970. (Veröffentlichungen der Gesellschaft für fränkische Geschichte IX, 27.) Würzburg 1971. 378 S. 150 Abb.
Rezension von: Haag, Friedrich, Gestalten im alten Künzelsau und Geschichten aus früherer Zeit
Authors: Wunder Gerd , Haag Friedrich
Published: May 2024

Friedrich Haag: Gestalten im alten Künzelsau und Geschichten aus früherer Zeit. Herausgegeben im Auftrag der Stadt Künzelsau 1970. 104 S. Ill.
Income, consumption expenditure and food consumption
Authors: Cristafovici Profira
Published: May 2024

In the current socio-economic context of crisis, accompanied by the significant increase in prices, major concerns are imposed to ensure the well-being of the population, both in the Republic of Moldova and in other states. The well-being of the population, in turn, is determined by the interconnection between income and consumption. A higher level of the population's income leads to higher consumption, and the discrepancies between the incomes of different social categories affect their security and quality of life. The security and quality of people's lives also depends on the purchasing power of households, the quantitative value of consumption, its structure and quality, as well as the assimilated and promoted conceptions of consumption, the social policy of the state. In this paper, the income and consumption expenditure situation of the population in the Republic of Moldova is analyzed based on documentation from statistical sources, as well as other secondary sources of information. Also, the analysis of food consumption of basic products in the Republic of Moldova in comparison with Romania is carried out. The research showed that in the Republic of Moldova the incomes of the population, compared to neighboring countries, are at a lower level, 41% being spent, according to the family budget research, for food consumption. In general, the level of provision of the population with basic food products is appreciated as satisfactory, but there are significant gaps between different categories of consumers, which requires the support of these categories by the state and society.
Building a digital roadmap for enterprises
Authors: Constantinescu Mihaela , Roman Mihai Daniel
Published: May 2024

More and more organizations nowadays are embedding digitalization into their core values. Recent studies have shown that the concept of digitalization is a game changer for all the agents within the value chains of worldwide economy and it is not only creating value but might disrupt it also unless implemented in a structured way. This paper presents an insight into industrial operations and recommends a method of building a digital roadmap, from defining the general scope, identifying the digital strategy relevant to the respective business model while considering specific business opportunities and needs to forming the foundations of the digital component such as relevant technologies and solutions or defining use-cases to enablement of those into the organization all while building up specific digital competencies and capabilities. A more digital leadership becomes a must to enable this new technology operating model and for that roles and responsibilities within organizations are now focused on facilitating collaboration in the industry ecosystem and enabling rapid and agile data architecture whilst ensuring cybersecurity as well. This paper offers insights into industrial operations and proposes a method for developing a digital roadmap. It covers defining the scope, identifying relevant digital strategies, considering specific business opportunities and needs, and establishing the foundations of digital components. The importance of digital leadership, cybersecurity measures, and fostering digital competencies are highlighted. The paper aims to guide organizations through the digital journey with the goal of bringing enterprises closer to the optimal performance mode while adjusting to the fast-paced metaverse era.
A Survey On The Socio-Political Challenges Driving The Trend Of Education Tourism In Foreign Institutions Among Nigerian Tertiary Level Students
Authors: Bhadmus Joy , Chidozie Felix , Uwa Osimen Goddy
Published: May 2024

Education tourism has been a sought-after option in recent years for tertiary level students in Nigeria who are in search of quality education in foreign institutions. Reports have revealed that Nigeria has the highest outbound student mobility in Africa. The decision for Nigerian tertiary level students to leave the country is motivated by the socio-political challenges that have plagued the public tertiary institutions in Nigeria. This study therefore examines how socio-political challenges have influenced education tourism in foreign institutions among Nigerian tertiary level students with a focus on three socio-political challenges - poor funding, incessant strikes, and insecurity. Hence, both primary data and secondary data were collected using literature search and interview. This study adopts the Human Capital Theory. Data gathered were analysed using thematic method of analysis. This research reveals that the absence of sustainable funding of public tertiary institutions, the constant disruption in academic calendars, and the state of insecurityhave led to the prevalence of education tourism among Nigerian tertiary level students to foreign institutions, and more students are willing to embark on education tourism if given the means and the opportunity to do so. This study recommends that there should be the yearly allocation of 26% of the national budget to the education sector which will help close the gap that stands currently. The study therefore concludes that there is a relationship between socio-political challenges and education tourism.
Smart pills: the future of adherence monitoring
Authors: Al Shammari Yosef Houmid , Al Shammari Homoud Awade , Barak Talal Muhammad Bin , Alharbi Bandar Said , Alshammari Saud Tawfiq , Alnais Saleh Abdullah , Aljohani Saeed Awad , Alorf Abdulrahman Abdullah , Alnawmasi Meshari Abdulmajeed , Alshammari Mohammed Awad , Alharbi Majed Farhan , Al Enazi Abdulrahman Gobile , Alamri Abdulelah Mohammed Mubashir
Published: May 2024

Background: The precise assessment and monitoring of patient medication adherence is a worldwide concern due to the lack of universally accepted methodologies for accurately measuring adherence. There has been recent focus on using technology to monitor medication adherence, since they allow for continuous surveillance of an individual's behavior in taking their prescription. Nevertheless, the existing technologies for monitoring medication adherence range in terms of their technological characteristics and techniques of data collection, resulting in variations in their individual benefits and constraints. There is a dearth of suitable criteria to guide the evaluation of medication adherence monitoring devices for optimum uptake and utilization. Aim of Work: The objective of this research is to conduct a narrative evaluation of existing technologies for monitoring medication adherence and to suggest a set of criteria for assessing these technologies, which will aid in the development and implementation of such technologies. Methods: Using the terms medication adherence, measuring technology, and monitoring technology, a literature search was carried out on PubMed, Scopus, CINAHL, and ProQuest Technology Collection (2010-present). The selection concentrated on research concerning the technology used to monitor medication adherence, as well as its development and use.
Exploring How Tutors in Higher Education Perceive Their Work and What Direction They Think it Should Take in the Future: A Case Study
Authors: Hernández-Amorós María J. , Martínez-Ruiz María A.
Published: May 2024

University tutoring is a complex area of study involving various factors and agents whose actions are context-dependent. This qualitative study aims to analyse and interpret the experiences of tutors in the course of their work. The participants were 68 tutors, each from one of the seven centres belonging to the University of Alicante (Spain). We carried out conventional and summative content analyses using AQUAD 7 software. The results show that tutors’ feelings are generally positive, though they become disillusioned if students decide to drop tutoring. Nevertheless, the few students that persevere are enough to encourage tutors to reflect on possible improvements to the tutoring programme. Their suggestions reveal their own tutoring style and the need to promote whichever tutoring model best suits the context and the students that construct the tutorial relationship.
Mathematical Argumentation in Higher Education: A Systematic Literature Review
Authors: Kartika Hendra , Warmi Attin , Urayama Daiki , Suprihatiningsih Siti
Published: May 2024

Interest in research on mathematical argumentation is increasing, leading to growth in the field. However, empirical research on mathematical argumentation in higher education presents challenges in organising a comprehensive overview due to its diversity and variety of underlying themes and tasks. Therefore, the aim of this study is to provide a systematic review of studies that focus on mathematical argumentation in higher education. We conducted a systematic literature review with the guiding questions: "What are the characteristics of tasks used for mathematical argumentation?" and "What themes are being explored in studies on mathematical argumentation in higher education?" The results of this review indicate a strong correlation among mathematical argumentation in higher education, mathematical proof tasks, and instructional design. Additionally, empirical studies conducted between 1995 and 2023 have identified four primary research themes encompassing student abilities, collaboration, designing and teaching, and assessment. Our analysis offers a detailed examination and appraisal of each of these themes and associated tasks, in conjunction with current trends, facilitating a more organized understanding of this multifaceted research discipline.
Reviewing Assessment in Online and Blended Flipped Classroom
Authors: Divjak Blaženka , Rienties Bart , Svetec Barbi , Vondra Petra , Žižak Mirza
Published: May 2024

The aim of this study was to investigate the guiding principles, practises, and challenges of assessment in online and blended flipped classroom (FC) approaches in higher education. Based on that, we proposed a generic model of teaching, learning and assessment in online and blended FC, including examples of teaching and learning activities, with corresponding levels of learning outcomes, and assessment tasks and methods. We synthesised the findings and suggested further research on the following aspects: peer-assessment and self-assessment; benefits and challenges of educational technology; ethical aspects of assessment and plagiarism; balance between flexibility and structure. We recommended that further research should put more focus on the utility, including validity and reliability of assessment and test the proposed generic model in different study fields and educational contexts. Our study was based on a systematic literature review, including 90 articles identified in the Web of Science database, with 23 studied in detail.
Development of an intelligent Arduino-based power factor corrector for a domestic installation powered by solar panels
Authors: Mohamed Bey , Souhil Drias
Published: May 2024

Power factor correction using capacitor banks reduces reactive power consumption, leading to minimization of losses while increasing the efficiency of the power system. The issues of energy saving and reactive power management have led to the development of single-phase capacitor banks for domestic applications. The development of this project consists of improving the operation of single-phase capacitor banks to improve the operation of a domestic solar installation by developing a control system based on the Arduino. The control unit will be able to control the operating stages of the capacitor bank based on the variable charging current. To properly calculate the power factor in real time, we used two sensors, however, the current sensor is used to measure the load current for sampling purposes and the voltage sensor to measure the voltage. Intelligent control using this microcontroller control unit, calculates the current/voltage phase shift and ensures uniform utilization of capacitor stages, minimizes the number of switching operations and optimizes power factor correction. In order to validate the proper functioning of our project, we installed the latter in a PV installation of 2kW in total, the latter is installed within the energy engineering and electrical engineering laboratory, thus this installation is equipped with different types of load such as as the purely resistive, purely inductive load and the asynchronous motor which represents the inductive load. The values obtained by the device and displayed on the LCD are confirmed using the oscilloscope by plotting the currents and voltages. The results obtained show the success of this project and the efficiency of the device has improved the power factor.
A importância do diagnóstico precoce na Leucemia Mieloide Aguda: um relato de caso
Authors: Ikeda Patrícia , Campagnaro Enzzo , Natali Gabriele Retondo de , Bragatto Felipe Barca
Published: May 2024

A leucemia é uma neoplasia maligna caracterizada pela expansão clonal hematopoiética, com diagnóstico aventado quando há pelo menos 20% de blastos no hemograma. Apresenta oito subtipos classificados de M0 a M7, com sintomas iniciais inespecíficos, como sangramento oral, petéquias, febre e púrpura. O diagnóstico envolve uma combinação de exames laboratoriais para avaliar a eficácia do tratamento e o prognóstico dos pacientes. Esta revisão narrativa tem como intuito expor um relato de caso a fim de ressaltar a importância da conduta precoce frente a doença e reforçando a urgência hematológica em questão. Foram utilizadas bases de dados como SciELO e PUBMED e estudo do prontuário da paciente com artigos publicados de 2013 a 2024. P.R, sexo feminino, 45 anos, comparece ambulatório no HAOC, devido a alterações no hemograma. Há um mês apresentou astenia progressiva, parestesia periférica, pancitopenia e perda ponderal de aproximadamente 5,5 kg dentro dos últimos 6 meses. Nega sangramento ativo, adenomegalias, petéquias e febre. Exames laboratoriais revelaram anemia, trombocitopenia e aumento dos blastos sanguíneos, levando a suspeita de LA. A investigação adicional confirmou a presença de blastos mielomonocíticos com expressão positiva para CD13, CD33, e mieloperoxidase, e mutações genéticas associadas à Leucemia Mieloide Aguda (LMA). A presença de expressão anômala do antígeno CD56, mutações nos genes NRAS e CBFB, e cariótipo inv (16) corroboram com a suspeita. O diagnóstico foi confirmado e a paciente foi encaminhada para quimioterapia conforme protocolo padrão. A paciente foi tratada com quimioterapia seguindo o protocolo de indução 3+7, seguido de consolidação conforme resposta terapêutica e protocolos literários estabelecidos. A presença de mais de 20% de blastos em um hemograma é um alerta para a LMA, uma urgência hematológica que responde bem ao tratamento precoce, com altas taxas de cura. Homens adultos com sintomas inespecíficos e pancitopenia são mais afetados, exigindo a exclusão de diagnósticos diferenciais semelhantes. A LMA é uma neoplasia complexa e heterogênea, onde seu tratamento e evolução apresentam diversas singularidades, necessitando de um conhecimento médico amplo, recursos a profilaxias necessárias e o acesso às unidades de saúde com especialistas na área de hematologia.
Research on the Application of CBR Technology in Intelligent Process Design System
Authors: Liu Junli , Lu Hui , Cui Guanhui , An Xibin
Published: May 2024

A Case-Based Reasoning (CBR) intelligent process design system is developed through Visual Studio development tools to improve the processing efficiency of mechanical parts and the recurrence rate of corporate knowledge. The key factor in improving the accuracy of case matching in the CBR system is the similarity calculation of parts. In this paper, similarity calculation models for different attribute types are presented by combining the nearest neighbor method. And the improved AHP method and matrix calculation of MATLAB are used to determine the weighting coefficient. The most similar cases are matched according to the overall similarity of the cases and the set threshold, and the method is applied to the intelligent process design of shafts. The results show that this method is conducive to shortening the development cycle and quickly responding to the market, which provides a reference for intelligent manufacturing of mechanical parts.