bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Empowerment and Ethical Reconstruction: The Substrate of Cooperative Action in Private Higher Education in the Digital Era
Authors: Longgui Zhen
Published: May 2024

Currently, the entire society is experiencing systematic "digital disruption", and comprehensive digital transformation across all areas is the inevitable path to future development. As the foundation of people's livelihood, education, and higher education in particular, plays an important role in digital transformation and educational reform. Higher education is not only the driving force of digital transformation but also the main force of educational reform. When facing the impact of the digital wave, it should take the initiative to shoulder the responsibility of digital transformation and innovation, and actively lead educational reform. As an important part of higher education, private higher education also shoulders the important responsibility of promoting digital transformation. It is an important direction to promote social systematic digital transformation through the digital transformation of higher education, and it is a practical requirement to promote the digital transformation and upgrading of cooperation between private higher education and digital technology. With the deep integration of digital technology and cooperation between private higher education, the digital space is gradually taking shape, and ethical concerns are beginning to emerge. Through philosophical reflection and ethical examination of these ethical concerns in the digital space, it is found that these ethical concerns mainly stem from the absence of the ethical dimension of digital technology. Therefore, this study starts from two logical dimensions of digital empowerment and ethical reconstruction, based on the analysis of the internal interconnection between technology and ethics, and proposes that in promoting the digital transformation of cooperation between private higher education, we should not only fully utilize digital empowerment, but also reconstruct the action path of digital ethics.
A Review on Synchronverter Technology and Its Application to Grid Connected EV Charging Station
Authors: Konakanchi Sravani
Published: May 2024

The usage of the word Power quality in recent times acquired intensified interest due to the complex industrial processes. The usage of intelligent tools to improve power quality is increasing day by day, as assumption of present day power system as a linear model is unsatisfactory. This paper deals with analysis of Differential Evolution (DE), Hybrid Differential Evolution (HDE) and Variable Scaling Hybrid Differential Evolution for harmonic reduction in the source current with optimal tuning of PI controller gain values. Shunt Active power Filter is one of the better solution to suppress the source current harmonics which are induced into power system because of nonlinear loads. Current controller called HBCC is considered for gating operation of switches in Voltage Source Inverter. The Intelligent tuned PQ theory is used for reference current generation. The then obtained compensating currents are injected at point of common coupling for current disturbance mitigation. Simulations of MATLAB/SIMULINK environment of the present work shows the efficacy.
Handwritten Character Recognition System
Authors: Tirapathi Reddy B
Published: May 2024

Digitizing handwritten documents and enabling efficient information processing and retrieval require systems that can recognize handwritten characters. This research offers a unique approach for handwritten character detection using state-of-the-art machine learning algorithms. The proposed technique automatically extracts discriminative features from photos of handwritten characters using convolutional neural networks (CNNs). These attributes are then used by a classifier to determine which characters are related. The dataset used for training and assessment is made up of a large collection of handwritten characters gathered under various writing styles, sizes, and orientations in order to guarantee the durability and generalization power of the model. To enhance its quality and diversity, the training data is put through a rigorous preparation procedure that includes picture augmentation, noise removal, and normalization. The studies' results demonstrate how well and precisely the proposed system can recognize handwritten characters in a range of languages and writing styles. The system performs competitively compared to state-of-the-art methods and demonstrates robustness against variations in handwriting style and quality. Furthermore, the system has potential in terms of efficiency and scalability, making it suitable for real-time applications such as document digitalization, handwritten word recognition in electronic devices, and automatic form processing.
Efficient Knowledge Acquisition: Standard Essential Patent Analysis Based on Elephant Herding Optimized Kernel-Adaptive Support Vector Machine
Authors: Junlei Wang
Published: May 2024

A significant area of research is the effective acquisition of knowledge via patent analysis, especially in the fast-developing sector of electric cars. As they can quickly and effectively assess massive volumes of patent data, machine learning approaches can be very useful because they can recognize patterns and developments that are challenging to spot manually. This article provides a unique elephant herding optimized kernel-adaptive support vector machine (EHO-KSVM) method for effective knowledge acquisition utilizing machine learning (ML) on electric car patent data. To evaluate the efficacy of the suggested EHO-KSVM approach, data from the G06F patents were first gathered. In this work, the raw data is first pre-processed using NLP methods, and then the important data is extracted from patent databases using principal component analysis (PCA). Then, we analyze the data using the EHO-KSVM approach to spot patterns and trends that can be utilized to forecast technological developments and offer perceptions into new markets. The outcomes show that the suggested strategy can greatly reduce the time and effort needed to acquire knowledge and provide insightful information for decision-makers in electric car technology.
Chili Disease Detection Using HOG with Euclidean Distance
Authors: Chauhan Pareshbhai Mansangbhai
Published: May 2024

In order to detect plant diseases in the leaves of chili plants, automatic learning is used in this study. Farmers are planting chilies with the intention of exporting them worldwide. Chili is a need for regular meals. There aren't many illnesses that need to be found in the leaves of chili plants. There are three types of chili plants: weak, diseased, and healthy. Weak and sick chili plants can be affected by diseases such as a harsh leaf, spot leaf, whitefly, yellowish, etc. It has been reported that research is underway to determine whether chile plants are safe to grow or polluted. But when it comes to agriculture, it's critical to recognize the damaged plant by its unique type. Various category diseases are studied using the HOG (Histogram of Oriented Gradients) of the leaf of the chili plant. The representative feature vectors in the feature vector are created using the mean value of every feature point. A typical feature vector and the Euclidean distance are used to calculate the outliers. For the Euclidean distance larger than 0.0025, 0.0016, and 0.00125, the average accuracy rate was 61.6%, 73.2%, and 81.00%, respectively, with the modified border point in the feature vector being 0.0016, 0.00125, and 0.0009. The results presented above suggest that machine-learning techniques for image processing can be used to determine the type of plant disease.
Fpga Based Implementation of Ddfs for Pll
Authors: G. Vimala
Published: May 2024

Frequency synthesizers play a crucial role in providing stable and precise frequency sources for various electronic systems, contributing to the reliability and performance of communication and signal processing applications. A frequency synthesizer is an electronic circuit or device that generates output signals with a specified frequency. It is commonly used in communication systems, radio transmitters and receivers, radar systems, and various other electronic applications where precise and stable frequency sources are required. In this work a frequency Synthesizer is designed and developed for the specifications of output Frequency Range of 20 MHz to 100 MHz, Frequency Accuracy up to 10 Hz, High Switching Speed of 20 µSec, Low Phase Noise of 110 dBc/Hz at 10KHz from carrier, Frequency Modulation with Selectable Deviation, Frequency Chirp with Selectable Step Size, TDM mode up to 4 Pre Selected Frequencies, Fixed Frequency, FM and Chirp. The Synthesizer is digitally controllable with FTW, With the simulations Frequency Range achieved is 0-400MHz against 20 – 100 MHz, Resolution achieved is 2 Hz against 10 Hz, Phase Noise performance is 120 dBc @ 10kHz, against 110 dBc, Switching Time of 2µS against 20µS, and 4 Modes of Operations achieved successfully. Xilinx fpga 2v250fg256 is used for implementation. Number of Slices used are 1264 out of   1536 with  82% , Number of Slice Flip Flops used are 536  out of   3072 with 17% ,Number of 4 input LUTs         used are 2238  out of   3072 with 72%, Number of bonded IOBs used are 52  out of 172  with 30%, Number of GCLKs used are 3  out of  16 with 18%. Compared to other DDFS implementations, this work ensured implementation of 32-bit FTW with various modes, better utilization, low power consumption, flexible coding.
Anfis Based Energy Management System for Microgrids
Authors: Sobhana Obulareddy
Published: May 2024

Microgrids are typical low or medium voltage distribution networks that operate on an adaptive system. Which, employing intelligent energy management techniques, govern the power exchange between the main grid, locally distributed generators (DGs), and associated loads. This paper describes and evaluates the intelligent ANFIS based energy management approach for grid integrated microgrid networks. The ANFIS based intelligent controller estimates the power that must be generated by (or) stored in batteries, taking into consideration of power demanded by loads and available battery power by accounting the battery state of charge. To evaluate the power allocation an artificial intelligent based technique i.e., Sugeno-based fuzzy EMS is implemented. The stated fuzzy logic control enhances power distribution within the micro-grid components while minimizing the requirement for power transfer to/from the main grid.
A New Design of Custom Optimized Cnn-Lstm Assists to Detect Network Anomaly Using Categorical Data
Authors: N.Bharatha Devi
Published: May 2024

For traditional intrusion detection model, the system effectiveness is fully based on training dataset and feature selection. During feature selection, it needs more labour charge and trusted mainly on expert’s knowledge. Moreover, the training dataset contains more imbalanced data which in terms model tends to be biased. Here, an automatic approach is introduced to correct deficiency in the system. In this paper, the author proposes novel network anomaly detection (NID) build using categorical data. A model has to be designed with modified form of deep neural network primarily utilized for detecting anomaly within the network. Custom CNN-LSTM with Harris Hawks Optimization (named as custom optimized CNN-LSTM) is designed as a new classifier majorly used to detect the anomaly from word cloud to distinguish the data with effective performance. The experimental result shows that the proposed method achieves a promising output for network anomaly detection.
Effect of Shear Rate on the Residual Strength of Clayey Soils
Authors: Feng Xiangrui
Published: May 2024

The residual strength of soils in the shear zones at different shear rates can correspond to the movement of landslides. However, the rate-dependency of residual strength has not been quantified. A laboratory study on the residual strength of clay soils at shear velocities is present in this paper. The samples were extracted from the shear zone of a deep-seated landslide experiencing reactivation movement. The residual strength of samples at step-up shear rates from 0.5mm/min to 10000mm/min was obtained. Test results indicate that the samples at increasing shear rate tend to exhibit positive rate effect. At 10000mm/min the residual strength shows a gain of 2.21~2.68 times above the slow residual value. A model for predicting the residual strength correlating the shear rate is introduced. The different features in the slow and fast residual strength are attributed to soil fabric modifications within the shear zones. This is of practical significance to the stability and kinematic analysis of landslides.
Managing and Decreasing Power Consumption of Devices in a Smart City Environment
Authors: Alaa Sabeeh Salim
Published: May 2024

As smart cities continue to grow and the number of connected devices increases, power consumption becomes a critical concern. By offloading computationally intensive tasks from resource-constrained devices to more powerful edge servers, energy efficiency can be significantly improved. The research proposes a framework for managing power consumption in smart cities by offloading computational tasks to edge servers. This approach, considering factors like device capabilities, network conditions, and energy profiles, can improve energy efficiency. The framework's effectiveness is evaluated through real-world data simulations and performance metrics. Results show that offloading tasks to edge servers significantly reduces power consumption, conserving energy and prolonging battery life. The framework's adaptability ensures optimal resource allocation, maximizing energy efficiency without compromising performance. This research offers practical solutions for sustainable and energy-efficient operations in smarter cities.
ETL-FEXIC Model for Secured Heart Rate Abnormality Healthcare Framework
Authors: Arthi R.
Published: May 2024

In traditional methods, it is critical for an effective continuous pulse monitor for humans prone to heart rate abnormalities. This paper proposes a secured heartrate abnormality detector which continuously monitors human pulse rate and SpO2 level. The current studies proposes that machine learning (ML) models performs well in classification; also, TinyML model shows better performance for data from resource constrained IoT devices. Hence, the research first analyses abnormal heart rate detection and spam data identification using standard ML algorithms such as SVM, Random Forest, Decision Tree, and TinyML. Though ML models are superior in classification, deep learning approaches outperforms them in feature learning. Hence, our proposed framework combines the merits of both ML and DL models. In our approach, the generated healthcare dataset is fed to DL models such as ANN, and autoencoder and also to SHAP XAI (eXplainable Artificial Intelligence) for feature extraction and learning. These learnt features are fed to ML models for classification. In this experiment, the proposed ETL-FEXIC (Enhanced Tiny Machine Learning with Automated Feature Extraction) outperforms the other ML models where the extracted features from XAI is fed to optimized TinyML classification model.
Renewable Energy for Carbon Footprint Reduction of Production of Lightweight Geopolymer Concrete
Authors: Pushpendra Singh Palash
Published: May 2024

In the present world, researchers have been keenly interested in developing special concrete like Geo polymer concrete in recent years due to its lower global warming impact, better serviceability, higher durability, and overall economy compared to conventional concrete. Geo polymer is a comparatively new substitute binder for making concrete. The geopolymer binders are produced using industrial by-products such as fly ash and blast furnace slag instead of ordinary Portland cement. Using Geo polymer can reduce CO2 emissions and lower the global warming impact.  The major issue before the present community is to minimize the CO2 emission, which is also the lead source of global warming. In the present research, an attempt has been made to predict that the CO2 emission rate has either increased or declined in preparing the concrete by using Hand-mixing concrete. The calculations of CO2 emission during manufacturing have been devised based on the collected data. It has also been proposed that how CO2 emission can be reduced by varying the concrete mix proportions or by replacing the ingredients of concrete.
Challenges in the Planning, Construction and Farming Practices in Agrivoltaic Systems With Vertically Mounted Panels
Authors: Wild Karl , Schueller John
Published: May 2024

Several challenges in planning, construction, and farming practices hinder the optimization of agrivoltaic systems (AS) and the achievement of optimal crop production. This paper identifies and addresses these issues while presenting initial solutions. One specific type of AS involves vertically mounted panels on arable or grassland sites. The installation of panel rows divides large fields into narrow units, restricting the use of farming implements with different working widths. Implement widths must align with the spacing between panel rows, which often results in residual strips or overlapping issues when field operations are carried out. Furthermore, boundary effects in AS are more pronounced, impacting yield along field borders. The presence of panel rows also complicates driving operations, requiring reduced speeds and posing collision risks between implements and panels. Soil compaction during AS construction, microclimate variations, and panel contamination by dust, or spray drift deposits further affect plant growth and solar system performance. Initial solutions are proposed to address these challenges. These include careful planning of row spacing based on the working widths of critical implements such as combines, adoption of field sprayers with foldable booms, consideration of pneumatic fertilizer spreaders, and integration of precision farming techniques to manage variability within AS. Additionally, the use of construction machinery with low soil pressure, employment of steering technologies based on global navigation satellite systems, and research on panel cleaning devices are suggested. Overall, this paper highlights the need for further research and development to overcome farming challenges in agrivoltaic systems with vertically mounted panels.
Reflexiones sobre rigidez constitucional y democracia: pasado, presente y futuro en Chile
Authors: Aylwin Fernandez Vicente
Published: May 2024

Este trabajo reflexiona sobre la relación que existe entre cambio y estabilidad constitucional a partir del caso chileno. El artículo gira en torno a las siguientes preguntas: ¿cómo se relacionan rigidez constitucional y democracia?, ¿cómo se articuló dicha relación en el constitucionalismo chileno reciente? En este artículo argumento que existe un tipo de rigidez contramayoritaria que hace difícil acomodar constitucionalismo y democracia. Sugiero que el modelo chileno se caracterizó por este tipo de rigidez, lo que contribuyó a generar una crisis constitucional que dio paso a dos procesos constitucionales fallidos. A pesar de ello, sostengo que la Constitución vigente ha experimentado un cambio fundamental que se expresa en su flexibilización. Finalmente, reflexiono sobre las posibilidades institucionales del cambio constitucional participativo, ello, a partir de un análisis crítico del modelo de reforma contenido en la propuesta constitucional de 2022.
Potencial do pó de basalto como remineralizador de solo em sistemas de produção de hortaliças
Authors: Hanisch Ana Lúcia , Cantú Rafael Ricardo , Gonçalves Guilherme Luis Scaramella , Knapik Justen Juliane Garcia
Published: May 2024

Na última década, após a normatização para uso de remineralizadores na agricultura, diversos estudos têm confirmado efeitos positivos desses produtos nos sistemas agrícolas, sendo esses efeitos mais intensivos em rochas vulcânicas básicas, como o pó de basalto. Nesse contexto, essa pesquisa teve por objetivo avaliar o efeito de um pó de basalto filler sobre o crescimento das culturas de alface e repolho e sobre os indicadores químicos do solo. O experimento foi conduzido em casa de vegetação, em vasos, em um delineamento completamente casualizado em um fatorial 2x4x2, sendo dois tipos de solo (Cambissolo e Neossolo quartzarênico), quatro doses de pó de basalto (0, 5, 10 e 20t ha-1) com e sem adubação solúvel, com quatro repetições. Houve interação entre os fatores para todos os indicadores avaliados. O pó de basalto filler foi efetivo em aumentar a produção de massa seca das culturas quando cultivado em Neossolo quartzarênico até a dose de 10t ha-1. Nas duas culturas houve correlação negativa entre pó de basalto e a adubação solúvel. No solo, 115 dias após a incorporação das doses e após o cultivo de alface e repolho, o pó de basalto filler foi eficaz em alterar os atributos do solo, sendo esse efeito mais acentuado no Neossolo. Em ambos os tipos de solos houve aumento quadrático no pH e nos teores de fósforo (P), potássio (K), cálcio (Ca) e na saturação de bases (V%) de acordo com o aumento das doses do produto. Os resultados indicam potencial promissor do produto para uso na agricultura.
Fertilização boratada aumenta produtividade da soja em solo argiloso
Authors: Saldanha Eduardo Cézar Medeiros
Published: May 2024

A maioria dos cultivos de importância agrícola tem mostrado respostas a aplicação de boro (B), em diferentes regiões e ambientes de produção do Brasil, certamente como resposta às baixas reservas deste nutriente nos solos. Objetivou-se com o estudo avaliar os efeitos de doses de boro sobre os aspectos nutricionais e produtivos da cultura da soja. O experimento foi conduzido na safra 2022/2023 no município de Santa Carmem – MT em Latossolo Vermelho-Amarelo, de textura argilosa. Utilizaram-se seis tratamentos com quatro repetições, dispostos em blocos ao acaso. Os tratamentos consistiram em 0,0; 0,5; 1,0; 1,5; 2,0 e 3,0 kg ha-1 de B, foi utilizado o tetraborato de sódio pentahidratado como fonte fertilizante. A aplicação de 2,0kg ha-1 de B propiciou maior produtividade de soja cujo percentual de incremento foi de 10,6% em comparação ao tratamento controle (acréscimo de 8,3 sacos ha-1). Este resultado certamente está associado ao baixo teor de B no solo e ao favorecimento do pegamento de flores após o seu fornecimento.
Trifoliateiro ‘Flying Dragon’
Authors: Maro Luana Aparecida Castilho
Published: May 2024

Diferentemente de outros estados que se destacam quanto a área plantada de citros, as áreas de cultivo dos citricultores catarinenses são, em média, inferiores a dois hectares. Espera-se, portanto, que estas pequenas áreas sejam economicamente rentáveis para manutenção da atividade. Cultivares altamente adaptados, produtivos e com frutos de qualidade com boa aceitação pelo mercado consumidor aliado ao correto manejo da cultura são premissas importantes para o sucesso da atividade. Uma maneira de otimizar o uso de pequenas áreas é aumentar a densidade de plantio. Plantas de porte baixo podem ser obtidas pelo uso de porta-enxertos ananicantes como ‘Flying Dragon’, possibilitando acomodar mais plantas por unidade de área do que os sistemas de plantio tradicionais em que se utilizam porta-enxertos de maior vigor. Porém, algumas ressalvas devem ser consideradas quanto à formação de mudas cítricas enxertadas neste porta-enxerto como o fato de serem excessivamente pequenas e apresentarem sistema radicular débil.
〈中心與外圍的空間建構：以〈招魂〉與崑崙神話為例〉
Authors: 翁瑜婷 翁瑜婷
Published: May 2024

本文從〈招魂〉的空間安排出發，觀察文本中不同方位空間中的神話意象和方位書寫順序，並結合原始思維的學說，梳理〈招魂〉依據對自然的想像所形塑的理解差異，確立六合與中央空間中，異質的心性意識與情感取向。接著分析故居充滿物慾的富麗空間，〈招魂〉體現出對於生命被安頓的渴望和對美好事物的索求。從故居到六合異域，形成了「中心―外圍」的空間架構，對應出「安逸―險惡」的心理特質。本文進一步延伸至崑崙神話，參照伊利亞德對於神聖空間的研究，分析二者雖同為中心之地，且皆具守衛者一職，卻有截然不同的空間屬性和作用，透過虛、實中心與聖、凡性質之別，探究〈招魂〉與崑崙神話從空間建構中傳達出的情感取向和精神價值。

 
沃土模式：回歸學科本質、重學生理解的雙語教學單元設計
Authors: 王力億 王力億
Published: May 2024

本書旨在協助中小學學科教師設計能在學校教學現場操作的雙語教學單元計畫。建立在雙語教育必須「回歸學科本質、重學生理解」的中心思想上，本書闡述了設計雙語教學單元計畫的思考邏輯、重要元素與撰寫原則。這是一本蘊含師資培育者與現場教師的思維的工具書，不論學科教師所授課的領域及學科為何，均能以本書作為設計與撰寫雙語教學單元計畫之參考工具。本書不僅著重雙語學科教師設計雙語教案的能力，亦關注教師檢核雙語教案能力的培養，冀望提升雙語學科教師的自主反思與同儕回饋量能。本書也收錄了17份由不同領域與學科教師所設計的雙語學科教學單元計畫，可供雙語學科教師作為參考。
Kûfe Ekolü Tefsir Anlayışında Re'yin Niceliği ve Niteliği (Abdullah b. Mes’ûd’un Tefsiri Bağlamında)
Authors: Akcan Hasan
Published: May 2024

Özet
Kur’an’ın anlaşılmasında sahabe döneminden itibaren rivayet ve dirayet olmak üzere iki ana anlayış oluşmuştur. Sahabe arasında ilimde temâyüz eden şahsiyetler Kur’an eğitiminde ve tefsirinde benimsedikleri anlayış ekseninde bir eğitim modeli geliştirmişlerdir. Geliştirdikleri eğitim modeli talebeleri tarafından takip edilmiş ve zamanla bir ekol hüviyeti kazanmıştır. Kûfe’de yaklaşık 15 sene Kur’an eğitimiyle uğraşmış olan Abdullah b. Mes’ud bunlardan birisidir.
Abdullah b. Mes’ud henüz Allah Resulü hayattayken Kur’an’a olan vukûfiyeti ile öne çıkmış ve Hz. Peygamberin övgüsüne mazhar olmuştu. Daha sonraki dönemlerde sahabe tarafından da onun bu hususiyeti takdir edilmiş ve Hz. Ömer (r.a) kendisini “muallim” sıfatıyla Kûfe halkına Kur’an’ı öğretmesi için görevlendirmişti.
Kaynaklardan ulaşabildiğimiz bilgilere göre İbn Mes’ud uzun yıllar boyunca Kûfe’de sürdürdüğü eğitim faaliyetinde Kur’an tefsirinde ağırlıklı olarak rivayet yöntemini kullanmış olmakla beraber dirayet yöntemini de etkin olarak kullanmıştır. Yetiştirdiği talebeler onun eğitimde takip ettiği yöntemi benimsemiş ve zamanla bu bir anlayışa ve daha sonra bir ekole dönüşmüştür. Tefsir usulü kitaplarında Kûfe Ekolü her ne kadar “re’ye” dayalı gelişmiş bir dirayet ekolü olarak tanıtılmış olsa da bunun bir hakikat mi yoksa bir ön kabul mü olduğu deliller ışığında tespit ve teyit edilmeye çalışılacaktır. Bu sebeple çalışmada bu ekolün oluşum sürecinde İbn Mes’ud’un rivayet ve dirayet anlayışlarından hangisini daha çok ve etkin olarak kullandığı İbn Mes’ud’un tefsir örnekleri üzerinden görülecek ve Kûfe Ekolü’nde dirayet anlayışının nicelik ve niteliği ulaşılan veriler üzerinden gösterilmeye çalışılacaktır.
Großkomburg
Authors: Fehring Günter P. , Schweizer Rolf , Himmelein Volker
Published: May 2024

Mit einem Beitrag zu den Fragmenten romanischer Stuck-Chorschranken von Volker Himmelein
Rezension von: Ott, Hugo, Studien zur spätmittelalterlichen Agrarverfassung im Oberrheingebiet
Authors: Schweizer Rolf , Ott Hugo
Published: May 2024

Hugo Ott: Studien zur spätmittelalterlichen Agrar-Verfassung im Oberrheingebiet 1970, 193 S. 4 Karten und 4 farbige Flurkarten (Quellen und Forschungen zur Agrargeschichte). Stuttgart. G. Fischer. DM 62,-.
Rezension von: Fritz, Manfred, Kirchliche Kunst in Hohenlohe
Authors: König Hans-Joachim , Fritz Manfred
Published: May 2024

Manfred Fritz: Kirchliche Kunst in Hohenlohe. Gerabronn: Hohenloher Druck- und Verlagshaus 1971. 112 S. 22 Fotos. DM 14,80
Rezension von: Schäfer, Gerhard, Um das politische Engagement der Kirche
Authors: Wunder Gerd
Published: May 2024

Gerhard Schäfer: Die evangelische Landeskirche in Württemberg und der Nationalsozialismus. Eine Dokumentation zum Kirchenkampf. Band I. Um das politische Engagement der Kirche 1932-1933. Stuttgart: Calwer Verlag 1971. 607 S.
Rezension von: Schürle, Wolfgang, Das Hospital zum Heiligen Geist in Konstanz
Authors: Ulshöfer Kuno , Schürle Wolfgang
Published: May 2024

Wolfgang W. Schürte: Das Hospital zum Heiligen Geist in Konstanz. Ein Beitrag zur Rechtsgeschichte des Hospitals im Mittelalter. (Konstanzer Geschichts- und Rechtsquellen, XVII.) Sigmaringen 1970, 150 Seiten.
Rezension von: Kolbeck, Alfred (Bearb.), 350 Jahre Gymnasium in Heilbronn
Authors: Wunder Gerd , Kolbeck Alfred
Published: May 2024

350 Jahre Gymnasium in Heilbronn. Festschrift zum Jubiläum des Theodor-Heuss-Gymnasiums. (Veröffentlichungen des Archivs der Stadt Heilbronn, 17.) Bearbeitet von Alfred Kolbeck. Heilbronn 1971. 173 S. Ill.
Rezension von: Neumaier, Helmut, Führer durch das Kastell Osterburken
Authors: Wunder Gerd , Neumaier Helmut
Published: May 2024

Helmut Neumaier: Führer durch das Kastell Osterburken. Stadt Osterburken 1969, 12 S.
Rezension von: Kepler, Johannes, Selbstzeugnisse
Authors: Wunder Gerd , Kepler Johannes
Published: May 2024

Johannes Kepler: Selbstzeugnisse. Ausgewählt und eingeleitet von Franz Hammer, übersetzt von Esther Hammer, erläutert von Friedrich Seck. Stuttgart: Frommann 1971. 97 S. DM 19,80.
Rezension von: Gerlach, Walther; List, Martha, Johannes Kepler
Authors: Wunder Gerd , Gerlach Walther , List Martha
Published: May 2024

Walther Gerlach, Martha List: Johannes Kepler (1571 Weil der Stadt - 1630 Regensburg). Dokumente zu Lebenszeit und Lebenswerk. München: Ehrenwirth 1971. 241 S. Ill.
Rezension von: Haag, Gottlob, Unter dem Glockenstuhl
Authors: Hampele Walter , Haag Gottlob
Published: May 2024

Gottlob Haag: Unter dem Glockenstuhl. Fünf Funkgedichte mit Graphiken von H. Peter Stierle. Kirchberg/Jagst: Wettin 1971. 96 S.
Rezension von: 100 Jahre Rotes Kreuz Waiblingen
Authors: Wunder Gerd
Published: May 2024

100 Jahre Rotes Kreuz Waiblingen. 1870-1970. 128 S. Ill.
Challenges for the international trading system in the context of global security
Authors: Lobanov Natalia
Published: May 2024

The article analyzes the challenges to the security and functionality of the international trade system, consisting of the trade flows between the states of the world, as well as a series of international regulatory institutions.Among the main challenges we mention military and trade conflicts, divergent growth trends in different regions, volatility of raw material prices, economic instability, governance issues within the World Trade Organization, the increase in the number and importance of regional trade agreements that gradually shift the focus of to the multilateral trade system to regional rules, the friendshoring trend. These factors increase the fragmentation of the single trade space, by eroding the basic principles of the international trade system, such as non-discrimination (the most favored nation clause, equal treatment for domestic and foreign products), progressive trade liberalization, predictability through consolidation and transparency, promoting fair competition, encouraging economic development and reforms. The outlook for the international trading system remains uncertain. At the same time, even if in the current conditions the countries aim, as a priority, to protect their national interests, we mention that from a strategic point of view, all WTO members will benefit from the development of multilateral cooperation. Thus, it is extremely important that the efforts of the world community support the multilateral systemic development of trade relations. When conducting the study, methods such as the systemic approach, analysis and synthesis, generalization, comparative analysis were used. International statistical data, WTO, UNCTAD publications, official documents of the European Union, international publications were used as informational support.
Cyber security chalenges of protecting smart cities sustainability
Authors: Shishmanov Krasimir , Tairov Iskren
Published: May 2024

Smart cities provide many positive implications that aim at transforming the everyday lives of individuals. This includes enhancing profitability, lowering expenses, and lowering ecological impact, but the smart city concept remains in its infancy. Considering the system mostly relies on electronics, it lets the entryway to hacking attempts and criminals, which might lead to serious harm and potential dangers. A continuing concern is the psychological and formal aspects of smart city protection that have been the result of competing interests, extensive interconnectedness, and cultural and administrative complexities. Due the results of our review, present laws and directions are insufficient to identify the positions and responsibilities of different companies and citizens do not have the same understanding of critical safety requirements. The research carried out assessed smart cities' cyber security initiatives, with a focus on technology demands and legislative architecture. According to the analysis conclusions, the present research argued for an apparatus that comprises technical norms, managerial input, a regulatory mechanism, and conforming verification to ensure security is monitored throughout all phases in smart cities.
An Analysis Of The Literature On The Connection Between Student Engagement In The Educational System And Academic Achievement
Authors: Ajabnoor Nouran , Fatima Zertaj
Published: May 2024

Focusing on student engagement is necessary to create a sustainable educational system in the current environment, because of the abrupt shift in the educational system from traditional classroom learning to online learning platforms. Student engagement in educational systems refers to the degree of awareness, care, importance, expectations, and passion that students exhibit while continuing to study or prepare, which broadens the degree of motivation they have to study and continue their education. The idea that learning develops when students are analytical, keen, or energized and that learning cultivates to go through when learners are disinterested, dispassionate, agitated, or otherwise disengaged, is represented by the concept of "student engagement." Increasing student engagement with online learning is a common goal for higher education institutions. Developing student engagement and academic achievement through online learning in educational institutions is a problem for instructors considering the educational revolution. Ultimately, teachers can implement a shift in the educational system from conventional to online learning. This study aimed to conduct a literature review and evaluate studies using statistical techniques. For the literature review, a small number of focused, relevant studies were selected from a pool of publications. English-language publications from the EBSCO database covering the period from early 20201 to 2023 were quantitatively analyzed. Using a bibliometric approach including keyword co-occurrence analysis and co-authorship, this study explains the structure and evolution of the area. Initially, a keyword search of the EBSCO database returned thousands of papers. From these results, 617 potentially relevant studies were identified. After removing the duplicates, 183 papers remained. This indicates the chance for co-author and keyword co-occurrence according to the database search.
Attributes to Construct Trust on E-Commerce: A Qualitative Study
Authors: Adel Ghuloum Mr. Abdullah
Published: May 2024

The consumer's decision to make online purchases is intricate and refined, with trust playing a significant role and exerting a powerful influence on their buying choices. The future of e-commerce hinges primarily on trust. There are a number of factors that, according to marketing literature, help buyers and sellers build trust while doing business online. However, only a handful of characteristics, such perceived security and privacy, are really the focus of any given study. Incorporating all the features mentioned in the literature into a unified model is the goal of this research. Following a comprehensive literature review, this study used qualitative methods to inquire into the elements that help build trust in online environments. The popularity of e-commerce is increasing globally due to the convenience it offers to both online retailers and customers. However, with the increasing prevalence of electronic commerce, several major issues arise, including privacy concerns, customer unhappiness, inefficient deliveries, and most importantly, trust issues. The researchers conducted a qualitative study focused on the perceived trustworthiness of e-commerce. The aim was to determine if the findings align with previous studies and to offer online users with information that can assist them in making informed decisions when buying or selling things online. According to empirical statistics, clients have a positive attitude towards online purchases, albeit they are less confident when compared to offline transactions. Based on the data that is available, it is clear that trust is important to customers.
New anticoagulant therapies in atrial fibrillation
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: Global observational studies are revealing a lack of agreement between recommendations and actual clinical practice when it comes to the dosages of direct oral anticoagulant drugs (DOACs). Aim of Work: This review provides a concise and critical assessment of the use of Direct Oral Anticoagulants (DOACs) in real-world clinical setting. Methods: This study was conducted using the PubMed (MEDLINE) and Medscape databases for the search. Results: Analysis of data from 75 trials revealed that the majority of patients who were administered DOACs for stroke prevention in atrial fibrillation were given dosages that aligned with the recommended recommendations. Nevertheless, a considerable proportion of patients were given dosages that were not approved for their specific condition (ranging from 25% to 50% in the majority of the assessed trials). Overdosing on DOACs was linked to higher rates of death from any cause and more severe bleeding episodes. Underdosing, on the other hand, was connected with higher rates of hospitalization for cardiovascular issues. Specifically, with apixaban, underdosing was linked to a nearly five times higher risk of stroke.
Navigating An LMS Review Process: Harnessing Next-Generation Digital Learning Through Evidence-Based Decision-Making
Authors: Wade Bill , Dianati Seb , Searle Bill , Sankey Michael
Published: May 2024

Universities across Australasia regularly evaluate their Learning Management Systems (LMS) to meet the increasing digital teaching and learning demands. LMS reviews conducted approximately every five years or so are driven by factors such as pandemics, contract renewals, fiscal considerations, and the pursuit of optimal student online learning experiences. Recent trends show that Australian universities are conducting LMS reviews more frequently and transitioning to new LMSs at an accelerated pace (Phil, 2022; Sankey, 2023a). This is to ensure the LMS of choice meets the Next Generation Digital Learning Environment (NGDLE) functionality (Educause, 2018), is affordable, reliable and is still fit for purpose. While ongoing LMS reviews are common, there is a lack of published information on how higher education institutions undertake them. There was little available to unpack how best to engage in open, transparent, and aspirational conversation with staff and students about their experience with the LMS. As part of the review, even less was published about the dialogue on the future teaching and learning needs and the future of the LMS. To help address this gap in the literature, this practice-based paper reports on our approach and the steps taken to propose a unique two-phase / multi-stage model for reviewing an LMS and offers a useful checklist for those who may want some help getting started.
Adaptation and reliability of tests of functional mobility and muscle strength using telehealth for older people with dementia
Authors: Tsen Carolina , Pelicioni Paulo Henrique Silva , Aily Jéssica Bianca , Bueno Décio , Gerassi Renata Carolina , Ansai Juliana Hotta , Gomes Grace Angélica de Oliveira , Andrade Larissa Pires de
Published: May 2024

Objective: Adapt functional mobility and muscle strength tests for older people with dementia to be performed remotely in the home environment; determine intra-rater and inter-rater reliability of functional mobility and strength tests for older people with dementia; and correlate the performance on the physical tests executed remotely and the Timed Up and Go (TUG) test, which was validated remotely in healthy older people. Methods: We included 43 people with dementia. The Short Physical Performance Battery (SPPB), TUG, TUG Dual Task (TUG-DT), and 30-Second Sit-to-Stand Test (SST30s) were performed through videocalls. Test performance was documented to facilitate the subsequent determination of inter- and intra-rater reliability. The intra-rater reliability was determined at a 2-week interval from the real-time videocall to analysis of the recording. Results: Intra-rater reliability ranged from good to excellent for all tests performed (ICC 0.862–1.000). Inter-rater reliability values were fair for gait speed (ICC = 0.223), moderate for some of the SPPB items (ICC = 0.706–0.801), good for the SPPB two-foot balance (ICC = 0.860) and the SPPB total score (ICC = 0.831), and excellent for the rest of the tests. Conclusion: Functional mobility and muscle strength tests proved reliable and feasible for remote, at-home assessments of older people with dementia when assisted by their respective caregivers, providing an additional alternative for assessment of this patient population.
Efeitos do treinamento multicomponente na capacidade intrínseca de idosos residentes na comunidade: protocolo de estudo quase-experimental
Authors: Felipe Sarah Giulia Bandeira , Printes Clarissa Biehl , Brauner Fabiane de Oliveira , Sato Douglas Kazutoshi , Baptista Rafael Reimann
Published: May 2024

Objetivo: Protocolo para avaliar os efeitos de exercícios multicomponentes na capacidade intrínseca de idosos. Metodologia: Pessoas idosas (≥ 60 anos) cadastradas em um programa de treinamento multicomponente de Porto Alegre (RS) serão selecionados para avaliação da capacidade intrínseca nos seus cinco domínios: vitalidade (teste de força de preensão manual (FPM), índice de massa corpórea (IMC) e nutrição) sensorial (perguntas autorrelatadas), psicológico (Escala de Depressão Geriátrica, GDS-15), cognitivo (MoCA teste) e locomotor (teste de sentar e levantar e TUG). A pontuação composta da capacidade intrínseca será realizada por meio da soma dos domínios em escore de 0 a 10 pontos. Ao fim de 12 semanas de intervenção com exercícios multicomponentes, os participantes serão reavaliados. Para comparar os efeitos do treinamento multicomponente na capacidade intrínseca composta e por domínio serão utilizados os testes t de Student e ANOVA para comparar os efeitos de diversos tipos de treinamento. Este estudo foi aprovado pelo Comitê de Ética em Pesquisa sob parecer no 5.517.315. Resultados esperados: Ao fim de 12 semanas de intervenção com os exercícios multicomponentes, esperamos um aumento na pontuação composta da capacidade intrínseca e em seus domínios, especialmente o locomotor. Relevância: O risco de dependência, quedas e mortalidade aumenta com o declínio da capacidade intrínseca, suscitando a necessidade de implementar intervenções para limitar esses desfechos negativos. A prática de exercícios multicomponentes é uma estratégia simples, eficaz, com boa adesão e amplamente recomendada para evitar o declínio da capacidade intrínseca e melhorar a saúde e a funcionalidade das pessoas idosas.
Physical activity, protein consumption, and loss of muscle mass in older adult participants of the ELSA-Brazil study
Authors: Mendes Fernanda Duarte , Campos Glaucia Cristina de , Lourenço Roberto Alves , Garcia Virgílio Moreira , Mill José Geraldo , Molina Maria del Carmen Bisi
Published: May 2024

Objective: The objective was to evaluate the relationship between protein consumption, physical activity, and muscle mass in individuals aged ≥ 60 years. Methods: This prospective study was based on the baseline and second wave of the ELSA-Brazil study. Protein consumption was assessed using a semiquantitative food frequency questionnaire. Physical activity was measured using the International Physical Activity Questionnaire. Muscle mass was estimated using a prediction equation, and the difference in MM between the first and second waves was calculated. Bivariate analyses were performed, with p < 0.05 considered significant. Multivariate analysis consisted of 4 Poisson regression models including covariates with p < 0.20. The statistical analysis was performed in IBM SPSS Statistics 21. Results: The sample included 2216 older adults, 55.10% of whom were women, with a mean age of 65.20 (SD, 4.15). Participants whose muscle mass decreased between the waves were in the first quartile of protein consumption. Mean physical activity significantly differed between the groups, while leisure-time physical activity differed only for women (p < 0.05). After adjusting for sociodemographic, health, and lifestyle variables, participants with lower protein intake had a 1.45 (1.29–1.63) relative risk of muscle mass loss. Conclusions: Lower protein consumption and higher physical activity were associated with decreased muscle mass, and those with protein consumption in the first and second quartiles are at higher risk of muscle mass loss.
Enhancing fuel cell efficiency through advanced digital twin modeling
Authors: Benchenina Yacine , Zemmit Abderrahim , Bouzaki Mohammed Moustafa
Published: May 2024

In this study, we embark on a comprehensive exploration aimed at advancing Fuel Cell Modeling through the sophisticated computational capabilities offered by Matlab Simscape. Our primary objective is to engineer an advanced digital twin that not only replicates but faithfully captures the intricate characteristics inherent in real-world Fuel Cell models. This digital counterpart assumes a pivotal role in our research, serving as a dynamic tool for continuous monitoring of the operational dynamics exhibited by actual Fuel Cells. It stands as a dependable reference point, enabling us to delve deeper into the complexities of these systems. However, the significance of our digital twin transcends mere emulation. It emerges as a stable benchmark against which deviations in real Fuel Cell data can be discerned and analyzed, thereby facilitating meticulous error analysis. Through meticulous alignment with its physical counterpart, our approach offers a precise instrument for anomaly detection, providing invaluable insights into potential errors within the authentic Fuel Cell system. This innovative methodology not only enhances the efficiency of error detection but also revolutionizes the comprehensive evaluation of reliability and performance within the fuel cell domain under scrutiny. By integrating state-of-the-art computational capabilities with the intricacies of real-world systems, our research signifies a paradigm shift in the study and optimization of fuel cell technologies. The intricate interplay between simulation and reality paves the way for a deeper understanding of fuel cell behavior, enabling us to uncover nuances that were previously inaccessible. This holistic approach not only improves our ability to detect and rectify errors but also enhances our capacity to optimize fuel cell performance in diverse applications. Ultimately, our research endeavors to bridge the gap between theoretical modeling and practical implementation, offering a robust framework for advancing the efficiency, reliability, and performance of fuel cell systems in real-world scenarios.