bluuebunny/crossref_metadata_2025 huggingface dataset:
The effect of myo–inositol supplementation on feed physicochemical structure and viral load of dry cat food contaminated with SARS–CoV–2 by simulating sneezing
Authors: Korkmaz Serol , Parmaksız Ayşe , Omurtag–Korkmaz Burcu Irem , Sait Ahmet
Published: October 2023

The study was carried to investigate the effect of myo–inositol supplementation on feed physicochemical structure and viral load of dry cat food contaminated with inactive SARS–CoV–2 by simulating sneezing. The most natural infection of severe acute respiratory syndrome coronavirus 2 (SARS–CoV–2) in animals is related to close contact with their owners with COVID–19 which is handling, taking care and feeding them. SARS–CoV–2 can survive on food, fomites and surfaces for extended periods related to environmental conditions. Many natural feed additives and supplements have been a candidate in recent antiviral treatment strategies against COVID–19. In this study, myo–inositol which is permitted in animal nutrition was used at different concentrations (0, 12.5, 25 and 50 mg·100 g-1 cat food) and conditions (22°C at room temperature and 4°C in the refrigerator) to investigate its effects on feed physicochemical structure and viral load of dry cat food contaminated with inactive SARS–CoV–2 by simulating sneezing. For the interactions between myo–inositol, feed structure and viral load, dry matter, moisture, water absorption index (WAI), water solubility index (WSI), pH and virus gene copy (GC) by RT–qPCR were measured. As only storage temperature affected both WAI and WSI as expected, myo–inostol supplementation dose–dependently decreased gene copy in dry cat food (IC50:366.4–581.5 mg·100 g-1 cat food) at 22°C storage temperature. Virus GC did not correlate with the dry matter, moisture content, pH and WAI after the 30 min contact time (except WSI). In conclusion, myo–inositol as a feed additive might have the potential to control serious viral infections such as COVID–19 for human–animal interactions in a One–Health context.
Radical Empiricism as Naturalistic Phenomenology vs. Non-naturalistic Phenomenology of Max Scheler
Authors: Hackett J. Edward
Published: October 2023

In this article, the author wishes to defend a naturalistic version of phenomenology rooted in and expropriated from William James’s radical empiricism against Max Scheler’s non-naturalistic phenomenology. By drawing from Jack Reynolds’s arguments for a minimal phenomenology, the author posits that radical empiricism is a middle way between the misguided self-sufficiency of transcendental phenomenology and the misguided self-sufficiency of ontological naturalism. The orthodox reading of Scheler as a dualist is found problematic, and in outlining four propositions characteristic of Scheler’s positions, the author motivates resources from Jamesian thought to argue for the superiority of a naturalistic phenomenology.
Selbstwirksame Erfahrungsmomente als Entwicklungsaufgabe in der Professionalisierung Lehramtsstudierender
Authors: Zangerl Klaudia
Published: October 2023

Um Studierende in ihrem individuellen Professionalisierungsprozess zu unterstützen, werden im Rahmen der Lehramtsausbildung produktive Settings generiert, in welchen sie in ihrem persönlichen Erfahrens- und Erlebnisraum aufgabenspezifisch herausgefordert und in ihrem Selbstverständnis und in ihrer Selbstregulation als Entwicklungsaufgabe ressourcenorientiert unterstützt werden. Die Selbstwirksamkeit gilt hierbei als Schlüsselfaktor für Bildungs- und Entwicklungsprozesse, meint sie doch die subjektive Überzeugung, neue oder herausfordernde Aufgaben und Anforderungen aufgrund persönlicher Kompetenz bewältigen zu können. Im vorliegenden Beitrag wird aufgezeigt, wie Studierende der Kirchlichen Pädagogischen Hochschule Edith Stein am Ende ihres Bachelorstudiums, welches auf Kompetenzentwicklung ausgerichtet ist, und im Hinblick auf deren baldigen Berufseinstieg diesen Anspruch diskutieren. Selbstwirksame Erfahrungsmomente aufgrund personaler Lernprozesse werden als berufliche Entwicklungsaufgaben dargestellt und diskutiert.
Blended Learning und Planspiele in der Hochschullehre
Authors: Stampfl Rita
Published: October 2023

Blended Learning verbindet den klassischen Präsenzunterricht mit technologiegestütztem Lernen und ist damit eine effektive Unterrichtsform, welche an vielen Hochschulen bereits erfolgreich eingesetzt wird. Blended Learning bietet eine breite Skala an unterschiedlichen Kategorien welche darstellen, inwieweit die jeweiligen Elemente – klassischer Präsenzunterricht und Online-Lernen – ausgeprägt sind. Lehrende sind aufgrund der neuen Generation von Studierenden damit konfrontiert, die passende Kategorie für neue Lehrveranstaltungen auszuwählen und bestehende Kurse in Kategorien mit ausgeprägteren Online-Lernanteilen zu transformieren. Dieser Artikel zeigt anhand eines Fallbeispiels an einer Fachhochschule, wie diese Transformation vorgenommen werden kann und wie zudem bei den verbleibenden Präsenzeinheiten mit Planspielen der praktische Wissenserwerb gesteigert werden kann. Abschließend wird angeführt, wie Studierende den neu gestalteten transformierten Kurs beurteilen.
Krise als Chance
Authors: Benkö Patrick , Gril Thomas , Waltl Sandra
Published: October 2023

Durch die COVID-19 Pandemie entwickelte sich weltweit eine gesellschaftliche Krise, die in fast allen Lebensbereichen auftrat und als ein weiterer Faktor für den stetigen Wandel im Bildungsbereich begründet wird. Der vorliegende Artikel behandelt die Chancen und Transformationsmöglichkeiten während einer Krisenzeit für Lehrkräfte. Hierbei bildet die COVID-19 Pandemie die Basis für nachfolgende Überlegungen. Die Erhebungen fanden im Zeitraum 2020-2022 statt und bilden die Grundlage für diesen Artikel. Dabei zeigt sich, dass diese eine gezwungene Veränderung im Bildungsbereich darstellte und die Digitalisierung dadurch einen Aufschwung erhielt. Ressourcen waren unzureichend vorhanden und Lehrkräfte verfügten teilweise über keine ausreichenden digitalen Kompetenzen. Unterrichtsmethoden und Unterrichtsstile mussten an die neuartige Situation angepasst werden; daraus entwickelte sich eine neue Methode namens Flipped Classroom. Transformation war in diesem Zeitraum von großer Notwendigkeit und ermöglichte den Lernenden, neue Lernprozesse zu entwickeln.
Rezension von: von Linden, Franz-Karl Freiherr, Die Zisterzienser in Europa
Authors: Setzler Wilfried , Linden Franz-Karl von
Published: October 2023

Franz-Karl Freiherr von Linden: Die Zisterzienser in Europa. Reise zu den schönsten Stätten mittelalterlicher Klosterkultur. Belser Verlag Stuttgart 1997. 192 Seiten mit etwa 120 Abbildungen in Farbe. Gebunden DM 98,- (ab 1. Januar 1999: DM 128,-) ISBN 3-7630-2354-2
Rezension von: Setzler, Wilfried, Tübingen
Authors: Waibel Raimund , Setzler Wilfried
Published: October 2023

Wilfried Setzler: Tübingen - Auf alten Wegen Neues entdecken. Ein Stadtführer. Verlag Schwäbisches Tagblatt Tübingen 1997. 154 Seiten mit vielen, meist farbigen Abbildungen. Broschiert DM 30,- ISBN 3-928011-27-8
Rezension von: Bleifuss, Gerhard, Baumwollfabrikant in Württemberg - die Familie Otto und ihre Firmen 1814-1914
Authors: Binder Hans , Bleifuß Gerhard
Published: October 2023

Gerhard Bleifuss: Baumwollfabrikant in Württemberg - die Familie Otto und ihre Firmen 1814-1914. (Südwestdeutsche Schriften, Heft 24). Mannheim 1997. 470 Seiten, 8 Fotos, 30 Tabellen. Gebunden DM 57,- ISBN 3-923750-69-2
Rezension von: Lupfer, Gilbert, Architektur der fünfziger Jahre in Stuttgart
Authors: Waibel Raimund , Lupfer Gilbert
Published: October 2023

Gilbert Lupfer: Architektur der fünfziger Jahre in Stuttgart. (Stuttgarter Studien, Band 10). Silberburg-Verlag Tübingen 1997. 462 Seiten mit 173 Abbildungen. Kartoniert DM 49,- ISBN 3-87407-249-5
Rezension von: Bohnert, Jürgen u.a. (Hrsg.), Die längste Höhle der Schwäbischen Alb
Authors: Binder Hans , Bohnert Jürgen
Published: October 2023

Jürgen Bohnert (u. a.): Die längste Höhle der Schwäbischen Alb. Auf Entdeckungsfahrt in die Wulfbachquellhöhle. DRW-Verlag Leinfelden-Echterdingen 1998. 96 Seiten mit 67 Abbildungen, davon 57 in Farbe, 8 Pläne. Broschiert DM 49,- ISBN 3-87181-391-5
COVID-19 y adultocentrismo en la política pública de la Península de Yucatán, México
Authors: Barrera Rojas Miguel Ángel , Galván Saavedra Eleazar Santiago , Olvera Calderón Citlalli Lucely , Marín Marín Lázaro
Published: October 2023

La pandemia por COVID-19 dejó evidencia de que los gobiernos no estaban preparados del todo para enfrentar una situación sanitaria como la que se vivió entre 2020 y 2022. Los efectos y daños que se tuvieron durante la contingencia y el confinamiento a simple vista parecían haber afectado a toda la población por igual, sin embargo, en este trabajo se analiza a través de dos cuestiones: la orfandad por COVID-19 y la Jornada Nacional de Sana Distancia, que, en una región específica de México, existieron condiciones de adultocentrismo en el manejo de la política pública relacionada con la pandemia. En ese sentido se revisaron cifras de contagio en la niñez y los grupos adultos, así como los distintos programas que se implementaron para establecer que la niñez fue un grupo hasta cierto punto ignorado por las políticas implementadas. Se concluye que hay evidencia de adultocrentismo en la gestión de la pandemia por COVID-19 tanto por el gobierno federal mexicano, como por los gobiernos estatales de Campeche, Quintana Roo y Yucatán.
The State-Of-Art Applications of Conventional Probability Issues
Authors: Mao Zilan , Ni Tianlun , Yin Haoyu
Published: October 2023

Contemporarily, the applications of conventional statistics to state-of-art problems become increasingly ingenious and complicated. Specifically, poker games, secretary puzzles, and the newsvendor theory will be fully discussed and elaborated in this paper. First, we discuss how to select the initial hand poker cards with the same card power research. The experiment proves that the method of equal card power generation is effective and feasible. In addition, we discuss the secretary puzzle, based on the optimal stopping theory, with the basic condition discussed by using different methods, probability, and calculus. Finally, we elaborate on the application of the newsvendor theory to the hotel overbooking problem. The theory is suitable for helping make decisions in manufacturing and service industries. When resolving the hotel overbooking problem, we successfully decide the number of rooms that the hotel reservations need to overbook in order to maximize the profit through the newsvendor model and the probabilistic approach, whose results turn out to be the same. Overall, these results shed light on guiding further exploration of statistics and probability.
Application Of VR In the Field of Education
Authors: Lin Yubing , You Yi , Zhou Zitong
Published: October 2023

VR in virtual reality and augmented reality technology is a new technology applied in the field of education in recent years. This paper combs and analyses the educational application research from three aspects: educational games, art education and political education. First, starting from education, the author expounds that virtual reality education is based on the teaching concept of "interesting" games and takes education and teaching objectives as the design concept. Then, it introduces the performance of virtual reality technology in the field of art. This part explains the important role of virtual reality technology in the field of art education. It mainly expounds the practical exploration of VR in teaching, the value of VR in art design teaching, the content of VR in the new path of art design curriculum reform, and the innovation of VR teaching. Finally, the application of virtual reality technology in ideological and political education is proposed. At the end of this paper, the application of VR in these three aspects is summarized and prospected.
Analysis of the behavioural capabilities of electric heating loads to participate in power system power regulation
Authors: Lan Tiecheng , Jia Gaowei , Li Ruiheng
Published: October 2023

The high proportion of new energy access leads to the scarcity of power system regulation capacity, and it is important to provide regulation capacity for the power system by reasonably regulating the electricity consumption of electric heating temperature-controlled loads. In this paper, in order to analyse the characteristics of the electric heating behaviour and the electric heating load's ability to participate in grid regulation, the differential equations of a typical room temperature change process are constructed first to establish the equation of state model of a two-input system, and then the state equations are discretised into difference equations according to the bilinear discretisation method for iterative solving. This paper analyses that the equivalent heat capacity and thermal resistance parameters of indoor air and wall will affect the temperature response time and the size of the required heating power, with the lowering of the outdoor temperature of a single household room, the average indoor warming time increases, the average cooling time decreases, the average daily power consumption increases, and the total power consumption of the whole community power also rises.
Word difficulty prediction—based on GA-BP neural network and TOPSIS-GRA method
Authors: Wang Keyang , Zheng Jialun , Xu Yilei
Published: October 2023

The game WORDLE is very popular around the world, so our team tried to build a suitable model to analyze the difficulty of the words in the game. Firstly, this paper preprocesses the data to ensure the accuracy and integrity of the data. After extracting five representative characteristics, such as "letter frequency score", "word distance" and "syllable harmony", GA-BP neural network was selected to predict the percentage distribution of word attempts. The results show that compared with the traditional BP neural network, the GA-BP model with learning rate of 0.3, crossover rate of 0.7 and variation rate of 0.01 maintains a higher prediction accuracy, and the MSE value is significantly reduced. In addition, this paper combines GRA model and TOPSIS method, and uses entropy weight method to calculate the objective weight of indicators to comprehensively evaluate the difficulty of words. The example analysis shows that the improved model is more distinguishable and overcomes the defect of TOPSIS method that Euclidean distance can’t distinguish ranking. At the same time, the ranking results of the two are close, which indicates the reliability and rationality of the difficulty prediction by using the model.
Exploring and Evaluating the Key Technologies in TDOA-Based Indoor Positioning
Authors: Yi Shuhong
Published: October 2023

As the communication field continues to evolve, positioning technology has emerged as a crucial and valuable research avenue. Particularly, indoor positioning presents an innovative and trending direction in this technology. During the research process of indoor positioning, it is essential to consider the impact of various environmental disturbances on positioning accuracy. Additionally, efforts should be geared towards minimizing these environmental influences on the positioning system's performance and reducing the complexity of the positioning algorithm. The ideal scenario for indoor positioning involves using a relatively straightforward positioning algorithm to obtain results with high positioning accuracy. That said, it is a challenging balance to strike, given the intricate factors that influence the effectiveness of indoor positioning. This paper focuses on the Time Difference of Arrival (TDOA) localization method. We explore the TDOA-based triangle centroid algorithm, Fang's algorithm, and Chan's algorithm, all prominent methods in this field. Each of these approaches presents unique strengths and challenges, offering diverse solutions to address the complexity of indoor positioning. Their comparative analysis will provide insights into the development of efficient, accurate, and straightforward indoor positioning techniques.
Strategic Optimization and Application Analysis of Orthogonal Frequency Division Multiplexing Index Modulation Systems
Authors: Liao Haochen
Published: October 2023

Orthogonal Frequency Division Multiplexing (OFDM) is a type of Multi-Carrier Modulation that operates by dividing a single channel into numerous orthogonal subchannels. By doing this, it facilitates the transformation of high-speed digital signals into parallel subdata streams. These streams are then modulated onto the subchannels, thereby enabling efficient transmission. OFDM with Index Modulation (OFDM-IM) further enhances this process by combining the benefits of OFDM with the high spectral efficiency of spatial modulation techniques, leading to significant improvements in the bit-error rate performance of the system. Despite the advantages of OFDM-IM systems, several challenges exist. For instance, the presence of inconsistent sampling rates can result in amplitude distortion. Furthermore, a high peak-to-average power ratio can adversely impact the efficiency of the RF power amplifier. These problems necessitate the exploration of diverse solutions to improve the performance of OFDM-IM systems. The focus of this thesis is to investigate and assess different strategies aimed at addressing these issues within OFDM-IM systems. We will explore these strategies, compare their effectiveness, and offer comprehensive recommendations on their optimal applications based on specific system requirements and scenarios. In doing so, the goal is to pave the way for more effective and efficient implementation of OFDM-IM systems in diverse contexts.
Machine learning based churn prediction in telecom
Authors: Dai Xuhao
Published: October 2023

In the new era of continuous social development, the level of information technology service construction is also increasing, among which the telecommunications service industry has also developed into a relatively large business cluster under this trend. Due to fierce commercial competition, telecommunication companies also face the problem of losing customers. Asking telecom companies to determine the trend of customer churn from the huge amount of customer information data has become a challenge for all telecom companies to solve. This paper takes a telecom company as a reference, using a large amount of subscriber data from it as a research sample, and uses data mining machine learning and other techniques to make churn predictions on customer data, using three classification methods to evaluate the prediction results and help telecom service providers analyze the causes of customer churn. Firstly, the situation faced by the telecom service company is discussed in terms of the relevant background, then by presenting and analyzing the customer data, and finally by using Logical Regression, Mission Tree, and SVM classification models for classification and evaluation, the causes associated with customer churn are summarized, then the methods of customer churn retention are outlined, and the factors associated with customer churn are listed. The factors associated with churn are listed. This provides a reference for an in-depth study of the theoretical approach and application of customer churn.
Research on Wordle Guessing Game Result Prediction Based on SIRS Model and Simulation
Authors: Liu Bojin , Zhang Rui , Wang Xuqing
Published: October 2023

Wordle is a daily word guessing game where players aim to guess a five-letter word in six or fewer attempts. To predict user participation, this study establishes a SIRS model to explain and predict the quantity of reported results, based on an analysis of the text propagation mechanism. To predict user guessing results, the player group is divided into entertainment players and strategic players. An Analog Simulation Model is established to simulate the word-filling process of these two types of players, thereby obtaining the result distribution for these two types of players. Subsequently, the Bayesian formula is used to calculate the proportions of entertainment players and strategic players, which are found to be 75.3% and 24.7%, respectively. However, given that each player's intuition, proficiency in different words, and desire to share vary, it is posited that individual player differences impact the predictions.
Application of QUBO model in credit score card combination optimization
Authors: Ma Fengyuan , He Yujie , Hu Juan
Published: October 2023

Credit cards are a rule by which banks rate their customers. Different credit scoring cards have different thresholds, corresponding to different pass rates and bad debt rates, which have a crucial impact on the bank's revenue. To help banks choose the best combination of credit scoring cards, so as to maximize revenue. Based on the triple credit card combination strategy of the bank, this paper establishes a mathematical programming model for solving the optimal combination. Aiming at the particularity of the binary decision variables, a constraint method is proposed to transform the quartic and quartic terms in the model into quadratic terms. Then, in order to balance the relationship between the objective function and the constraint conditions, the weighted penalty coefficient is further introduced by combining the entropy weight method. The model is transformed into QUBO(quadratic unconstrained binary optimization) model, and then combined with the bank's credit score card data, the optimal combination is solved by quantum annealing algorithm and verified by experiment. The experimental results show that this method has high precision and strong applicability in solving combinatorial optimization problems.
Aspect-based Sentiment Analysis in Document - FOMC Meeting Minutes on Economic Projection
Authors: Wang Yifei
Published: October 2023

The Federal Open Market Committee (FOMC) within the Federal Reserve System is responsible for managing inﬂation, maximizing employment, and stabilizing interest rates. Meeting minutes play an important role for market movements because they provide the bird’s eye view of how this economic complexity is constantly re-weighed. Therefore, there has been growing interest in analyzing and extracting sentiments on various aspects from large ﬁnancial texts for economic projection. However, Aspect-based Sentiment Analysis (ABSA) is not widely used on ﬁnancial data due to the lack of large labeled dataset. In this paper, I propose a model to train ABSA on ﬁnancial documents under weak supervision and analyze its predictive power on various macroeconomic indicators.
Research on the Application of Computer Big Data Technology in English Online Translation
Authors: Shen Feiyu
Published: October 2023

Aiming at the disadvantages of the traditional rule-based machine translation model that the English translation results are not accurate enough and it is difficult to accurately describe the relationship between words, the English machine translation model based on the semantic network is designed and improved. The algorithm analyses the English grammatical rules, then performs Gaussian marginalization on the semantics to obtain the rectangular window function, obtains the window feature vector, projects the semantic information entropy data, and adds the semantic correlation factors to the information entropy and information gain of the text., So as to obtain the semantic nonlinear spectral characteristics. Experimental results show that the designed English machine translation model has high translation accuracy and stability.
Ảnh hưởng của tích hợp kênh lên ý định mua lặp lại tại cửa hàng trực tuyến và truyền thống của người tiêu dùng: trường hợp sản phẩm quần áo thời trang tại Đà Nẵng
Authors: Đặng Thị Thu Trang , Huỳnh Hiếu Ngân
Published: October 2023

Trong thời kỳ kỷ nguyên số, nhờ vào sự phát triển vượt bậc và đa dạng của công nghệ, khách hàng có thể tận dụng cả kênh trực tuyến và truyền thống để so sánh chi phí và lợi ích mua sắm mang lại. Nghiên cứu này đề xuất và kiểm chứng các mối quan hệ giữa tích hợp kênh bán hàng cảm nhận bởi người tiêu dùng (gọi tắt là tích hợp kênh) và ý định mua lặp lại tại cửa hàng trực truyến và truyền thống của người tiêu dùng đối với ngành quần áo thời trang. Sau khi phân tích dữ liệu được thu từ 236 người tiêu dùng, kết quả nghiên cứu xác nhận rằng tích hợp kênh có ảnh hưởng đáng kể đến ý định mua lặp lại tại cửa hàng trực tuyến và truyền thống của người tiêu dùng. Vai trò trung gian của trao quyền và lợi ích mua sắm đã được kiểm chứng là có ảnh hưởng, ngoại trừ tác động của tích hợp kênh lên nhận thức rủi ro của người tiêu dùng. Hơn nữa, hành vi mua sắm Showrooming và Webrooming cho thấy có tác động tích cực lên ý định mua lặp tại tại cửa hàng trực tuyến và truyền thống của người tiêu dùng. Đồng thời, nghiên cứu còn đóng góp vào lý thuyết bán lẻ đa kênh thông qua việc cung cấp các hàm ý hữu ích cho các nhà quản lý doanh nghiệp bán lẻ.
Các nhân tố nội tại tác động đến rủi ro hệ thống của các ngân hàng thương mại Việt Nam
Authors: Lê Hải Trung
Published: October 2023

Nghiên cứu này đánh giá các nhân tố nội tại tác động đến rủi ro hệ thống của các ngân hàng thương mại (NHTM) Việt Nam. Cụ thể, tác giả đo lường rủi ro hệ thống cho 14 NHTM Việt Nam trong giai đoạn từ quý 1/2008 tới quý 4/2022 thông qua chỉ số biến động đồng phân vị (CoVaR) và chỉ số rủi ro hệ thống (SRISK). Kết quả nghiên cứu cho thấy các NHTM có quy mô lớn, chất lượng tài sản cùng tỷ lệ tài sản thanh khoản thấp và tỷ lệ thu nhập ngoài lãi cao có ảnh hưởng đến rủi ro hệ thống cao hơn. Bên cạnh đó, tỷ lệ vốn cao khiến các NHTM dễ gây tác động tràn tới hệ thống nhưng có thể giúp các NHTM này bớt thiếu hụt vốn khi thị trường bị sụt giảm. Ngoài ra, nghiên cứu mở rộng cho thấy khả năng sinh lời và tỷ lệ thu nhập từ các hoạt động truyền thống cao có thể giúp các NHTM lớn giảm bớt ảnh hưởng tới rủi ro hệ thống, trong khi đó chất lượng tín dụng thấp sẽ khiến các NHTM nhỏ sẽ gặp rủi ro thiếu hụt vốn trầm trọng hơn.
Ảnh hưởng của thay đổi công nghệ đến chuyển dịch cơ cấu lao động ngành công nghiệp chế biến chế tạo ở Việt Nam
Authors: Phạm Thị Dự , Nguyễn Thị Minh Nhàn , Nguyễn Thị Thu Hiền
Published: October 2023

Bài viết sử dụng dữ liệu điều tra doanh nghiệp trong giai đoạn 2011-2020 từ Tổng cục Thống kê, nhằm xem xét ảnh hưởng của thay đổi công nghệ đến chuyển dịch cơ cấu lao động ngành công nghiệp chế biến chế tạo ở Việt Nam. Sử dụng kết hợp phương pháp mô men tổng quát và mô hình với số liệu bảng để ước lượng tác động của thay đổi công nghệ đến cầu lao động theo cách tiếp cận hàm cầu từ bài toán cực tiểu chi phí. Kết quả nghiên cứu cho thấy, thay đổi công nghệ làm tăng cầu lao động từ đó làm thay đổi tốc độ tăng lao động của ngành, dẫn tới chuyển dịch cơ cấu lao động của ngành. Trên cơ sở đó, bài viết đưa ra một số khuyến nghị đối với Nhà nước, các doanh nghiệp và người lao động trong ngành để thích ứng với thay đổi công nghệ.
Truth Logic of Modalities Consistent and Incompatible: A Computational Program and Experimental Studies among College Students
Authors: Waheed Salma , Wang Moyun , Waheed Abdul , Habib Sana
Published: October 2023

College students give true judgment routinely, logicians can infer modal inferences, i.e., inferences that concern three alethic modalities; necessary (⸧), possible (◊), and impossible (⟢) from the premises that are logically consistent and incompatible. To achieve the desired results, logicians have intermingled alethic modalities with logical consistency and incompatibility, i.e., necessary consistent, impossible incompatible, possible consistent, or possible incompatible, and write them in classical modal logic as ⸧C (necessary consistent), ◊C (possible consistent) or ◊I (possibly incompatible) and ⟢I (impossible incompatible). M paradigm [Modality, Mental logic theory (MLT), and Mental model theory (MMT)] have been built to enlighten this truth logic. The basic idea of this study is to examine the theory; how do students judge whether two or more different propositions are possible? and, whether their judgment is true. Truth logic is used to construct some principles that help to justify the above theory. First, inferences have either ◊C/ ◊I or ⸧C but assertions are consistent. Second, each ◊C/ ◊I inference and premise is evaluated for both single and double model assertions, and they have consistency (i.e., ⸧C/◊C) and incompatibility (i.e., ◊I or ⟢I). As logicians have predicted, students mostly endorse inferences as ◊C/ ◊I rather than ⸧C and the ⟢I rate is higher in multi-model assertions. Syllogistic logical reasoning with conditionals (if, then...), conjunctions (and), disjunctions (or), and quantifiers “all” and “some” have been used in the M paradigm to evaluate predictions. Moreover, a computational program and experimental studies have strongly supported the all given principles and predictions.
The Silent Heroes of Bocaue: A Phenomenology of Barangay Health Workers in Responding to the COVID-19 Pandemic
Authors: Altecin Ella Joy , De Leon Renedict B. , Gomez Chellit Aika T. , Grijalvo Clare Bernadette Y. , Magabo John Paul B. , Villanueva Mark M.
Published: October 2023

As cliché as it may sound, health is indeed wealth. Now that everyone faces this global pandemic, well-being matters most to people. Since 1991, the Department of Health handed over primary health services to the LGUs. The barangay health centers handle primary health care. Each center has trained volunteers called Barangay Health Workers or BHWs. The study aimed to delve into the lived experiences of BHWs during the pandemic, specifically, it sought to answer the following questions: What is the reason why they chose to be BHWs? What adjustments did they make when the pandemic came? What drives them to continue working? How can they handle their personal life and duties as BHWs? How do they manage their work amid the pandemic? The study is done with a qualitative-phenomenological approach. To gather the needed data, the researchers employed purposive sampling to find participants interviewed using a semi-structured questionnaire. The interviews were transcribed into words and significant statements were extracted. Then, these significant meanings are clustered to create emergent themes. The themes that emerged from the interviews were: Justification for Becoming BHWs, From the Height of the Pandemic Into The New Normal, Work-Life Balance: Family or Work?, and Challenges Brought by the Work and Line of Duty. The statements are then categorized into themes after an analysis. After the analyses, the researchers came up with the following conclusions: 1) There are various reasons why the informants chose to be BHWs, including the benefits, work flexibility, knowledge and experiences, and service to the community. 2) During the pandemic, most informants adjusted in almost all aspects of their work such as the protocols and work hours. 3) Most BHWs lost time with their families. 4) The BHWs experienced numerous challenges in all aspects of their work such as financial, mental, and physical.
Pelagisk fisk i Vättern 2022
Authors: Rogell Björn , Axenrot Thomas
Published: October 2023

Sötvattenslaboratoriet vid Institutionen för akvatiska resurser, SLU, genomförde hösten 2022 hydroakustiska undersökningar med provtrålning i Vättern. Undersökningarna genomfördes mellan 2022-09-05 och 2022-09-14, och är ett i raden av de årliga hydroakustiska undersökningar som utförs i Mälaren, Vänern och Vättern. I undersökningen delades Vättern in i fyra delområden (Norra (N), Mellersta-Norra (MN), Mellersta-södra (MS) och Södra (S) Vättern). Resultat av analyserna 2022 omfattar 7 arter, inklusive kombinationer av art och åldersklass (nors 0+, nors >0+, sik, siklöja 0+, siklöja >0+ och storspigg). För att dra slutsatserom beståndens utveckling jämfördes medelvärdet för de senaste två åren (2022 och 2021), med medelvärdet för de föregående fem åren (2016-2020). Resultaten indikerade att antalet ekon från större fiskar (> 17 cm) ökat, att biomassan per hektar var relativt hög, samt att den starka rekryteringen av siklöja 2021 har gett upphov till en ökning av beståndet av siklöja 2022. Rådgivning till förvaltningen ges endast för siklöja och nors då övriga arter inte fångas i tillräckliga antal. • Siklöja hade en mycket stark rekrytering år 2021. För 2022 noterades en normalstark rekrytering. Antalet ettåriga och äldre siklöjor har börjat öka. Detta beror på måttliga till starka rekryteringar 2013, 2016, 2018, 2021 och nu även 2022, vilket är ovanligt frekvent för Vättern. • Siklöja utgjorde 2022 68 % av den totala biomassan i öppet vatten. • Sett till antal fiskar bestod det pelagiska fisksamhället i september till 73 % av små bytesfiskar (<81 mm), huvudsakligen årsyngel av nors. Antalet stora fiskar har dock ökat, och andelen potentiell bytesfisk relativt potentiella rovfiskar är lägre jämfört med tidigare år. • Norsbeståndet har varit relativt stabilt sedan 2015, och har haft god rekrytering under flera år.
Pelagisk fisk i Mälaren 2022
Authors: Rogell Björn , Axenrot Thomas
Published: October 2023

Sötvattenslaboratoriet vid Institutionen för akvatiska resurser, SLU, genomförde hösten 2022 en hydroakustisk undersökning i fyra delområden av Mälaren. Studien genomfördes mellan 2022-09-26 och 2022-09-29, och är en del av årliga hydroakustiska undersökningar som utförs i Mälaren, Vänern och Vättern. De delområden som undersöktes var Ekoln, Granfjärden, Prästfjärden och Görväln. Det var möjligt att analysera åtta 8 arter inklusive kombinationer av art och åldersklass (nors 0+, nors >0+, siklöja 0+, siklöja >0+, storspigg, gös 0+, gös >0+ och braxen). Beståndstrender av årsyngel av siklöja och gös (0+) undersöktes genom förekomster i tråldrag. För de undersökta arterna var populationsutvecklingen över tid relativt likartad. Jämförelser gjordes mellan medelvärdet för de senaste två åren (2022 och 2021) med medelvärdet för en referensperiod, bestående av de fem föregående åren (2016 och 2020). • Norsbeståndet var generellt stabilt med god rekrytering. • Fortsatt god rekrytering av gös i Granfjärden. • Siklöjebeståndet är stabilt sedan 2012, med en relativt god rekrytering i Görväln. • Antalet stora fiskar (>17 cm) tenderar att minska i Ekoln.
Torture and Trauma in WodOkello Lawoko’s The Dungeon of Nakasero
Authors: Adesina Oluwagbemiro , Sotunsa Mobolanle Ebunoluwa
Published: October 2023

African literature is characterised by the struggles and challenges of Africans, entailing pains of slavery, primitive colonization and modern colonization otherwise referred to as neo-colonization or imperialism. The continent’s postcolonial challenges include poor leadership, government instability, corruption, poor justice administrative system, underdevelopment, and poverty, among others. Prison memoir, which is a form of witness and resistance literature, particularly, the one written by Prisoners of Conscience (POC), is usually a documentation of these challenges including the trauma experienced as a result of torture experienced from bad leaders. Journalists, being part of society have not been excluded from the societal problems, principally, the torture and trauma experienced from undemocratic leaders. Some journalists have captured these experiences in their writings. However, while scholarship in African literature has paid attention to the various problems of Africa, it has not sufficiently explored torture and trauma in literary texts, mainly, the memoirs written by journalists. WodOkello Lawoko’s The Dungeon of Nakasero, a journalist memoir of sufferings, torture and trauma in the hands of their worst dictatorial military head of state, General Idi Amin, captures the highlighted African struggles and challenges. Therefore, against this backdrop, this study explores the nexus between torture and trauma in The Dungeon of Nakasero, a journalist’s prison memoir that presents the real-life ordeals of Ugandans during the reign of Idi Amin. The study relies on Carthy Caruth’s trauma theory to undertake a textual analysis of the text. Apart from depicting Idi Amin as the worst dictatorial head of state in Uganda, it further places him as one of the worst leaders in Africa. The text depicts journalism as one of the riskiest professions in the world and notes that only the unison of Africans can rid the continent of dictators and poor leadership.
ANALISIS PENGARUH BRAIN GYM TERHADAP PERKEMBANGAN MOTORIK HALUS PADA ANAK UMUR 4-5 TAHUN
Authors: Rahmadayanti Ade Marlisa , Mulya Bramta Sukma , Karneli Karneli
Published: October 2023

Brain Gym merupakan beberapa gerakan sederhana yang didesain dapat meoptimalisasi otak. Hal tersebut menyangkut keseimbangan otak bagian kanan-kiri, relaksasi otak belakang dan otak depan. Gerakan tersebut dapat menyerap jumlah kemampuan dalam berkomunikasi lebih cepat. Gerakan yang dapat berpengaruh untuk merengangkan otot dan konsentrasi, pengertian serta pemahaman. Penelitian ini bertujuan untuk mengetahui pengaruh brain gym terhadap perkembangan motorik halus pada anak umur 4-5 tahun. Dengan menggunakan metode studi literatur maka dilakukan analisis terhadap hasil penelusuran jurnal (e-journal) dan artikel dengan tinjauan teori (e-book). Penelitian ini mengungkapkan bahwa Frekuensi pemberian brain gymterhadap perkembangan motorik halus dapat dilihat dalam waktu 3x seminggu, Lama pemberian senam otak terhadap perkembangan motorik halus pada anak 4-5 tahun 10-15 menit, Lama waktu untuk mendapatkan hasil kemajuan perkembangan motorik halus pada anak adalah 4 minggu. Alat ukur yang digunakan untuk menilai hasil kemajuan perkembangan motorik halus pada anak usia 4-5 tahun menggunakan KPSP. Efektivitas pemberian senam otak lebih baik daripada metode lainnya (alat permainan edukatif, seperti kartu pasangan, loto warna kotak alpabet dan aktivitas fungsional, seperti berjalan santai, membaca dan menulis) terhadap peningkatan motorik halus pada anak
ANALISIS FAKTOR PERSONAL HYGIENE DAN SANITASI LINGKUNGAN DENGAN DEMAM THYPOID DI WILAYAH KERJA PUSKESMAS KEMALARAJA KABUPATEN OKU
Authors: Yustati Eva , Dinata Arda Surya
Published: October 2023

Disease, in an area depends on the presence of humans who understand the environmental conditions suitable for the life of disease-causing microorganisms. environmental hygiene, sanitation and poor personal hygiene are factors that can increase the spread of diseases, especially typhoid. Factors related to the incidence of typhoid fever are related to clean and healthy living behavior, such as the quality of personal hygiene and environmental sanitation and the lack of public knowledge that does not support a healthy life. The research method uses a cross sectional design. Data are analyzed using the Chi-square test. The population of the entire Kemalaraja Village community is 389 people. The sample taken is simple random sampling. based on the formula contained in Iwan Ariawan's book (2011). amounting to 193 samples. The results of Univariate analysis of bad hand washing habits were 24.9% of respondents, 75.1% of respondents in the category of good hand washing. The unavailability of landfills was 43 (22.3%) of respondents, 77.7% of respondents had available landfills, 23.3% of respondents had bad knowledge, 76.7% of respondents had good knowledge. The results of the chi square test obtained a p value of 0.000 < (0.05) meaning that there is a significant relationship between hand washing habits and the incidence of typhoid fever, p value 0.000 < (0.05) meaning that there is a significant relationship between landfills and the incidence of fever. typhoid, p-value 0.001 < (0.05). This means that there is a significant relationship between knowledge and the incidence of typhoid.

Conclusion: There is a significant relationship between hand washing habits, trash bins and knowledge with the incidence of typhoid fever
The Effect of Professional Job Satisfaction on School Leadership
Authors: BAY DÖNERTAŞ Aysun , DİLBAZ Engin
Published: October 2023

In this study, it is aimed to examine the effect of job satisfaction of high school principals on school leadership. For this purpose, the data obtained through the "School Leadership Scale" and "Job Satisfaction with Profession Scale" in the "Teaching and Learning International Survey -TALIS- data set published by OECD were used. The sample of the study consists of 448 high school principals randomly selected by TALIS through two-stage stratified sampling method to represent the international population. The test of variability between the perceptions of principals according to the personal variables of the research was tested by causal comparison model; whether there is a relationship between principals' professional job satisfaction and school leadership was tested by correlation model; the predictive power of high school principals' professional job satisfaction on school leadership was tested by multiple regression model. As a result of the research, it was revealed that there is a positive and significant relationship between high school principals' professional job satisfaction and school leadership, and as principals' perceptions of professional job satisfaction increase, school leadership behaviour levels increase. For practitioners, it is suggested that renumeration, benefits and workplace conditions job satisfaction elements be put into practice and structural arrangements be made in this direction in order to ensure the professional job satisfaction of school leaders.
Effect of Class Act NG Adjuvant on Glyphosate Efficacy in Corn
Authors: Soltani Nader , Willemse Christian A. , Sikkema Peter H.
Published: October 2023

There is little information on the effect of the co-application of glyphosate with Class Act NG adjuvant on weed control efficacy and corn yield under Ontario environmental conditions. This study consisted of 6 field experiments that were conducted in Ontario during 2021 and 2022 to determine if the addition of Class Act NG (2.5% v/v) to glyphosate at 450, 900 and 1350 g ae ha-1 would improve weed control and result in a concomitant increase in corn yield. The co-application of glyphosate with Class Act NG resulted in no visible corn injury at 1 and 4 weeks after herbicide application (WAA). The addition of Class Act NG to glyphosate at 450 g ae ha-1 improved control of common lambsquarters, velvetleaf, Powell amaranth, common ragweed, and barnyardgrass as much as 20, 14, 9, 8, and 7%, respectively but there was no improvement in control of giant foxtail, or green foxtail and there was no increase in corn yield. The addition of Class Act NG to glyphosate at 900 g ae ha-1 improved common lambsquarters control 6 and 5% at 4 and 8 WAA, respectively and improved barnyardgrass control 4% at 4 WAA. The addition of Class Act NG to glyphosate at 1350 g ae ha-1 provided no improvement in control of velvetleaf, Powell amaranth, common ragweed, common lambsquarters, barnyardgrass, giant foxtail, or green foxtail and there was no increase in corn yield. Based on this data the co-application of glyphosate with Class Act NG results in improved control of some annual broadleaf and grass weeds (common lambsquarters, velvetleaf, Powell amaranth, common ragweed and barnyardgrass) when glyphosate is applied at 450 or 900 g ae ha-1; however, when glyphosate is applied at 1350 g ae ha-1 there was no improvement in weed control. The addition of Class Act NG to glyphosate at 450, 900 and 1350 g ae ha-1 did not result in an increase in corn yield.
Trigeminal Neuralgia with Clinical and Radiological Findings: 3 Case Reports
Authors: DALDAL Merve , COŞGUN BAYBARS Sümeyye , DURAN Merve Hacer
Published: October 2023

Trigeminal neuralgia (TN) is a psychoneurotic disease involving the sensory branches of the trigeminal nerve (V) and characterized by severe and persistent pain. Pain, which is the most typical feature of the disease, is described by patients as short or long term, electric shock, burning, stinging and throbbing. Pain may involve all sensory branches of the nerve, and it is more common in areas innervated by the maxillary (V2) and mandibular (V3) nerve. Therefore, meticulous and regular follow-ups performed by dentists and oral surgeons and accurate examination of the cranial nerves are very important in order to avoid inappropriate treatments in patients who apply to dentists due to toothaches confused with facial pain. Otherwise, if the correct clinical history and pain type are not questioned, root canal treatments or even tooth extractions can be applied to patients due to misdiagnosis, also the pain does not go away. As can be seen in the three cases discussed in this article, it has been determined that many of the patients' teeth were treated with root canal treatment before the diagnosis of TN, and worse they were removed. It is very important for dentists to be careful about the distinction between TN-induced pain and toothache, in order to prevent incorrect treatments to be applied to patients.
A Study of Performance of Regulated Market and Its Benefits
Authors: Ahmad Ali , Wasifhy Mohammad Khan , Watandar Arsalan
Published: October 2023

The main objective of regulating the market is protecting the interest of producer, sellers increase the standards of the local Markets where the first exchange of the commodities take its place. In order to attain and reach the object of each regulated markets hence the establishment of Market committees are executed which is consisting of the representatives of the cultivators, dealers, locals’ bodies, co-operative, shops, sellers, and the selected state government candidates. Producers are mostly considered in these committees. The committee of market, would consist of (12) to (18) members, subjected to the size of the market. Regulated Markets have many advantages and benefits such as the growers are encouraged to bring their produce straight to the markets, Growers are protected from the manipulation of market functionaries, Market costs are definite and obligatory, Growers are ensured with better prices, Obtainability of the staffs for the disbursement of disputes, Facilities like platforms for the sale transactions, parking storage facilities, rest houses, and etc. are made available, Growers have accessibility to up-to-date, market information and Marketing costs are lowered and the producer share in consumer will increase. The regulated market functions are to deliver marketing facilitates, marketing of notified crops regulation, as well as to create a yards of the required infrastructural facilities.
Educação Financeira e Resolução de Problemas na Proposta Curricular Brasileira
Authors: Giordano Cassio Cristiano , Kistemann Junior Marco Aurélio , Oliveira Paulo Cesar , Haetinger Claus
Published: October 2023

Esse artigo discute a inserção e expansão da Educação Financeira (EF) nos currículos brasileiros da Educação Básica, com a publicação dos Parâmetros Curriculares Nacionais (PCN) e da Base Nacional Comum Curricular (BNCC), na perspectiva da Resolução de Problemas. Trata-se de uma pesquisa qualitativa, de natureza exploratória. Nossas investigações foram divididas em dois momentos: no primeiro, nos debruçamos sobre os principais documentos norteadores dos currículos nacionais em busca de diretrizes para a promoção da EF na perspectiva da Resolução de Problemas; no segundo, analisamos a presença da EF em âmbito escolar, na exploração de materiais didáticos institucionais. Os resultados apontam fragilidades e potencialidades na expansão da EF nas abordagens dos materiais didáticos analisados. Se por um lado ainda identificamos confusão entre a Matemática Financeira e a EF e alguns erros conceituais, por outro, reconhecemos tentativas de articulação interdisciplinar e transdisciplinar, propondo ao estudante ampla reflexão acerca de sua realidade socioeconômica, para aguçar a sua criticidade, bem como a elaboração e resolução de problemas, para seu desenvolvimento cognitivo e atitudinal, com eventual mudança de postura diante dos problemas que afetam a sua vida pessoal e a sua sociedade.