bluuebunny/crossref_metadata_2025 huggingface dataset:
IMPLEMENTASI SERVANT LEADERSHIP DALAM ORGANISASI: PENDEKATAN SYSTEMATIC LITERATURE REVIEW
Authors: Nabawi Asraf , Eliyana Anis , Sridadi Ahmad Rizki
Published: January 2024

This study aims to discover the definition of servant leadership, how to implement servant leadership in organizations, and the concept of benefits and goals of the theory of servant leadership. This study uses a systematic literature review approach by analyzing 2,013 journal articles published on Scopus in 2010-2022. The final data analyzed came from 25 quantitative journals. The research results show that servant leadership is a leader who focuses on developing his subordinates and is selfless. Implementing servant leadership is by serving employees personally, providing training according to their expertise, providing motivation and advice, and also caring about the family life of the employees. The benefits of servant leadership are that it can increase employee innovation, motivation, commitment, satisfaction, work effectiveness, and trust in leaders.
ANALISA KINERJA DAN KEPUASAN KERJA SAAT PANDEMI KAJIAN PENERAPAN PROTOKOL KESEHATAN DAN STRES KERJA
Authors: Wicaksono Agung Wahyu , Peranginangin Andi Frianto
Published: January 2024

The Covid-19 pandemic has made people make adjustments in carrying out their activities by implementing health protocols. Besides that, excessive stress and anxiety are natural things experienced by employees during a pandemic. This study aimed to reveal the causality relationship of several variables related to the pandemic, namely health protocols and work stress, to measure whether these variables have a causal relationship to job satisfaction and performance. This study is a quantitative study using the SEM-PLS path analysis method processed with the SmartPLS application. The research was conducted at Banyuwangi International Airport with a population of 125 people and a total sample of 96 people using a stratified proportionate sampling technique. The result shows that the health protocol influences job satisfaction and employee performance, while work stress affects performance but not job satisfaction. Job satisfaction directly affects employee performance and is able to mediate the relationship between health protocols and employee performance but fails to mediate the relationship between work stress and employee performance.
PENGARUH SOCIAL CAPITAL DAN INTELECTUAL CAPITAL TERHADAP FIRM PERFORMANCE
Authors: Worokinasih Saparila , Fuaida Roudhotul , Imamah Nur , Nuzula Nila Firdausi
Published: January 2024

Businesses focused on sustainable growth would consider intangible assets with unique characteristics that are difficult to imitate in order to provide their business a competitive edge to be the most valuable productive assets. The purpose of this study is to examine the role that the company's intangible assets—specifically, its social and intellectual capital—have in improving overall performance. Manufacturing companies listed on the IDX between 2016 and 2020 make up the study's population. In order to address current hypotheses, the analytical procedure consists of testing the measurement model and structural model. The study's findings demonstrate that intellectual capital directly improves a company's success. But it hasn't been demonstrated that other intangible assets, including social capital, have a direct effect on the firm performance. The results of this model are expected to contribute in improving corporate governance and increasing stakeholder trust in company performance.
Impacto de telhados verdes intensivos no desempenho térmico e hidrológico
Authors: Casagrande Thamille , Tavares Sergio Fernando , Noya Mariana Grassi
Published: January 2024

Pesquisas indicam que telhados verdes podem melhorar o isolamento térmico de edificações e mitigar enchentes urbanas. Entretanto, de acordo com estudos internacionais, estes efeitos podem ser potencializados com o uso de coberturas intensivas, com maior espessura de substrato. Considerando a ocorrência de enchentes em cidades como Curitiba-PR, mas que também ocorrem em outros contextos climáticos brasileiros, entende-se necessária a geração de dados locais relacionados ao tema, visto que não foram encontrados estudos nacionais sobre o tópico. Esta pesquisa objetiva avaliar o efeito que o aumento da camada de substrato pode surtir no desempenho de telhados verdes em relação ao comportamento térmico, hidrológico e grau de cobertura vegetal na cidade de Curitiba – PR. Foi realizado um experimento com seis modelos de telhados verdes, sendo três intensivos e três extensivos. O monitoramento ocorreu durante oito meses, registrando 21 eventos de precipitação, três eventos de aferição da temperatura e avaliação do grau de cobertura vegetal por meio de fotografias analisadas com o software ImageJ®. Os dados permitiram afirmar que para as condições climáticas do local é possível aumentar a retenção do escoamento em até 13%, reduzir a temperatura superficial inferior em até 4ºC, além de aumentar o grau de cobertura vegetal em 17% em telhados verdes intensivos.
Collaborative inquiry-based instructional model to enhance mathematical analytical thinking and reasoning skills for fourth-grade students
Authors: Yu Siliang , Jantharajit Nirat , Srikhao Sarit
Published: January 2024

In contemporary society, students’ analytical thinking and reasoning skills are crucial for their future development. The fourth grade (ages 9-10) is a critical stage for cultivating higher-level cognitive skills in students. Mathematics plays a significant role during this period, serving as a fundamental tool for fostering students' analytical thinking and reasoning abilities. Collaborative inquiry-based learning is considered beneficial for enhancing students' analytical thinking and reasoning skills. Therefore, this study aims to design a collaborative inquiry-based instructional model based on the characteristics of mathematics textbooks. The study extensively analyzes primary school mathematics textbooks published by Beijing Normal University and integrates the essential elements of collaborative inquiry-based learning to devise an instructional model tailored to the characteristics of mathematics textbooks. The model comprises six parts: Contextual Introduction (Question 1), Collaborative Inquiry (Question 2), Communication and Sharing (First round), Collaborative Inquiry (Question 3), Communication and Sharing (Second round), Review and Conclusion. The model is designed to assist students in acquiring knowledge through collaborative inquiry, stimulate their curiosity through contextualized learning, improve their analytical thinking and reasoning skills through collaborative inquiry, foster cognitive development through effective communication and sharing, and ultimately solidify acquired knowledge through reflection and conclusion. Theoretically, the analysis suggests that this model may positively impact students’ analytical thinking and reasoning abilities, providing a valuable reference for practical teaching.
Wikipedia in the System of National Scientific Sovereignty: Literature Review
Authors: Sokolov S. V.
Published: January 2024

The object of the article is to review scientific articles, to evaluate Wikipedia in publications of native library science periodicals. Wikipedia is considered from the point of view of scientific activity management. The table is presented, which shows relative pros and cons of this electronic encyclopedia. Such disadvantages of this electronic resource as incomplete reflection of scientific subject areas, lack of professional categorization of electronic resources, influence from foreign copyright are noted, further direction of Wikipedia research in the system of national scientific sovereignty is determined as a subject-by-article analysis of the articles of this encyclopedia within the framework of certain scientific areas and, especially, in the field of library science and librarianship.
Evolution of Repertoire of Military Ego-Documents Publications in Modern Russia (1990–2020s)
Authors: Posadskov A. L.
Published: January 2024

The purpose of the article is to provide an overview of the modern practice of publishing military ego-documents (memoirs, diaries, correspondence). Over the past 30 years of post-Soviet history, this process, according to the observations of the author of the article, has gone through two stages. The first one, chronologically related to the period of the 1990s, manifested itself in domination of repeated re-publication in large quantities of printed materials in high demand – memoirs and diaries of the leaders of the White movement, famous “white” generals and other emigrant publications of 1920–1930.The second (currently ongoing) stage included the republication of the Soviet military memoir heritage; revival of the traditions of publishing memoirs and diaries of military leaders (and then ordinary participants in wars) of pre-revolutionary Russia; scientific academic publications of little-known memoir sources extracted from archives; memoirs and diaries of Soviet/Russian participants in local wars in Afghanistan, Vietnam, Africa and other foreign countries. The most characteristic feature of modern book publishing on military topics is the appearance of a large number of memoir books, mostly self-published by participants in the Great Patriotic War, in ranks from a private soldier to a junior officer.
Web Resources Containing Ego-Documents of the Great Patriotic War Participants: the Regional Aspect
Authors: Mandrinina L. A. , Soloviev N. A.
Published: January 2024

The object of the article is to present the results of research aimed at identifying data on memorial information resources about Siberians – the participants of the Great Patriotic War and serving on the home front. Basing on studying Websites containing full texts of documents of personal origin (ego documents), that reflect the fates of Siberians during the Great Patriotic War, the activities of Siberian organizations (archives, museums, etc.) on the study of ego documents and their introduction into scientific and public circulation are presented,The paper provides a brief overview of publications on the study of various aspects of memorial practices in the electronic environment and shows the interpretation of the concept of “ego documents” by different authors.In the course of work there were examined 63 sites containing memorial information resources: the websites of the Ministry of Defense, State museums and archives of Siberia and the Far East, as well as other organizations. 19 sites containing ego documents were identified, their search capabilities studied, the characteristics of ego documents given according to several parameters (types, quantity, content, etc.).The revealed websites containing significant arrays of ego documents are: “Pis’ma Pobedy” (“Letters of the Victory”), “Prozhito” (“It’s lived through”), “Ya pomnyu” (“I remember”), etc. There are also sites that contain memories of the front-line soldiers and home front workers’ relatives and friends, sharing stories about them: “Pamyat’ naroda” (“Memory of the People”) and “Bessmertnyi polk” (“Immortal Regiment”). On some sites ego documents are presented in the form of collections (the Museum of History and Ethnography of the KhMAO-Yugra, the State Archive of Kuzbass, etc.).There is a number of shortcomings hampering the study of ego documents on some sites (lack of printed deciphering of scan copies of letters, advanced search function, etc.). The authors conclude that a number of All-Russian and regional Internet resources contain significant volumes of ego documents reflecting the events of the Great Patriotic War, which provide good opportunities for the research work of historians and local history scientists.
A Model for Managing Airlines in a Highly Competitive Environment, including the Case of Cost Impact Due to the New Environmental Regulations
Authors: Jaume Jose , Alonso Gustavo , Benito Arturo
Published: January 2024

The air transport industry has experienced important transformations over the last decades, despite its continuous global trend of growth. After air transport liberalization process, the present market situation depicts a reduced number of large hub & spoke airlines and an important number of so-called low-cost carriers (LCC). One may wonder why airlines that were once thriving and profitable before liberalization have disappeared, some even recently amid an expansion in demand. To answer that question and others related to it, this paper proposes a management model focused on the airline business, putting in relation the main variables defining the business behavior of an airline. The lessons learned from the past, and the solutions gathered from the model related with, will provide a sound basis to address the new challenges for the next years to come, as it is the case of the new environmental regulations focused on the air transport decarbonization.
Evaluation of Wild Raspberry (Rubus idaeus L.) Ecotypes from Northeastern Türkiye
Authors: Ilhan Gulce
Published: January 2024

Located between Asia and Europe, Türkiye is very rich in terms of wild edible fruit diversity. One of the most important wild edible fruits in Türkiye is red raspberries and they widely found in cold to warm temperate regions in the country. The wild raspberries in general have red fruit color but yellow fruited genotypes are evident. A total of 11 wild grown red raspberry genotypes sampled in Northern Anatolia region was used in this study and their sensory, biochemical and antioxidant characteristics were determined. For sensory analysis aroma, taste and juiciness were used as the main criteria to compare ecotypes each other. Biochemical and antioxidant characteristics of ecotypes included SSC (Soluble Solid Content), vitamin C, organic acids, total anthocyanins (TA), total phenolic content, total flavonoid content and total antioxidant capacity. FRAP (Ferric Reducing Antioxidant Power) assay was used to determine antioxidant capacity. There were significant differences among ecotypes for most of the searched parameters even they found similar growing condition. The ecotypes had fruit weight between 1.04 g and 1.33 g, and fruit Chroma value between 26.11 and 33.70. Vitamin C content of ecotypes were quite variable and ranged from 29.3 mg/100 g to 41.4 mg/100 g. The total phenolic content, total anthocyanin content, total flavonoid content was between 164-362 mg gallic acid equivalent/100 g; 17.3-33.3 mg cyanidin-3-glucoside equivalent/100 g and 10.3-17.2 mg quercetin equivalent/100 g, respectively. Citric acid was the dominant organic acid for all genotypes and ranged from 10.3-14.6 g/100 g fresh weight base. According to the results V-4, V-8, V-3 and V-10 had attractive bigger fruits indicate their suitability for fresh consumption. V-3 and V-5 had sweeter fruits indicated their suitability for processing and V-6, V-7 and V-11 had richer for human health promoting compounds (higher total phenolic content and antioxidant capacity), making them suitable for future use as functional foods and as promising sources of natural antioxidants.
The Impact of Digital Platforms on Organizational Duality: The Mediating Role of Capability Reconfiguration
Authors: Ji Feng , Zhou Yonghua , Cheng Guiqing , Shao Mingxu
Published: January 2024

In our digital era, digital platforms become an unprecedented opportunities for manufacturing enterprises to leverage their business strategy. This study investigates how manufacturing enterprises can enhance organizational duality through digital platforms. Specifically, this study examines the effect of digital platforms and capability reconfiguration on entrepreneurial organizational duality. The study also examines how network digital atmosphere moderates this relationship. Based on analysis of 286 manufacturing enterprises undergoing digital transformation, the results indicate that digital platforms positively affect both organizational duality and the capability reconfiguration. The results indicate that digital platforms have a positive indirect effect on organizational duality via evolutionary capability reconfiguration and substitutional capability reconfiguration, respectively. The study also shows that network digital atmosphere moderate this effect.These findings contribute theoretically to the research on digital platforms and manufacturing enterprises while also providing important managerial implications for policymakers and manufacturing enterprises to help firms implement digital strategies.
Foundations of a Successful Site Quality Management System
Authors: Waheed Muhammad , Abbas Mutahir
Published: January 2024

Abstract: When it comes to consistently giving clients value and quality, the construction industry is essential. But the industry has been having problems with quality, which has resulted in subpar work, dangerous setups, and overspending. Establishing a Quality Management System (QMS) is important for solving these issues. The QMS offers an organized method for controlling the quality of processes and products, providing client satisfaction, adhering to legal requirements, and minimizing loss and rework. Good quality management system (QMS) implementation requires doing things like Company assessment, preliminary planning, awareness-raising, Progressive enhancement, measurement and control, auditing, specialist instruction, control of records, and distribution. Through data analysis from questionnaires and interviews with builders/contractors, consultants, and customers/building occupants, as well as an examination of small-scale building contractors' quality management practices and their effects on cost-effectiveness, organizational effectiveness, and customer satisfaction, the purpose of the research is to highlight the importance of quality management during the minimal building development the undertaker's executing stage.
Analysis Quality Control in Project Development Warehouse PT Santos Jaya Abadi Sidoarjo Using the Process Decision Program Chart Method
Authors: Nandyanto Yohanes Usman , Beatrix Michella , Triana Masca Indra
Published: January 2024

Abstract: The rapid development of the construction world today, competition in the construction world is also increasingly fierce so that assurance and control of quality are demanded higher. One form of realization in facing competition and meeting these demands is the preparation of quality control. The purpose of this study is to determine the implementation of quality control in warehouse construction projects and to determine the risk analysis of existing structural work so that quality control can be implemented better. This research begins with data collection through a questionnaire method distributed to construction project workers, with respondents being the project managers to workers. Furthermore, the collected questionnaire data was analyzed using BIM SPSS and the process decision program chart method. The results of the analysis show that the implementation of warehouse construction projects, especially in column and beam structure work, has a percentage of 76%, and in-floor plate work has a percentage of 72%. So that quality control is carried out effectively and level risk at a medium risk level.
rain-t: Daily Rainfall Predictive Model Using 6-Gene Genetic Expression for Historical Data-Based Forecasting
Authors: Genoguin Marvin Jade , Concepcion II Ronnie S. , Mayol Andres Philip , Ubando Aristotle , Culaba Alvin , Dadios Elmer P.
Published: January 2024

Extreme weather conditions such as heavy rainfalls have been wreaking havoc not only in urban areas but also in an entire watershed. The development of a flood management plan and flood mitigating structures to alleviate the impacts of flooding is very crucial because it needs intensive and continuous historical data. However, missing data due to equipment failure that gathers the rainfall data could be a problem. Rainfall data is not only useful in designing flood mitigating structures but also in planning our day-to-day activities ahead of time. To address this problem, this paper proposes a predictive model which able to forecast in a short lead-time and predict missing data within the dataset. In this paper, three predictive models will be compared namely recurrent neural network, Gaussian processing regression, and the proposed 6-gene genetic expression-based predictive modeling (MGGP). 29-year 24-hour cumulative rainfall data which were sourced in PAGASA Tacloban city weather station, Philippines, was used. The data were cleaned by removing negative values. Two datasets were created, the first (RFDS1) dataset which makes use of three indices (year, month, and days), and the second (RFDS2) dataset which was orchestrated and transformed to increase correlation and reduce prediction errors which had an additional two datasets (ave(t-1,t-2),t-1). Each method used three and five time-based indices. The result shows an erratic behavior of the model from three methods that used the RFDS1, while RFDS2 had a more stable predictive model. This shows that the data orchestration and transformation greatly improved the correlation and reduced errors. However, MGGP showed the best results among the three methods.
Layer Configurations of BERT for Multitask Learning and Data Augmentation
Authors: Pahari Niraj , Shimada Kazutaka
Published: January 2024

Multitask learning (MTL) and data augmentation are becoming increasingly popular in natural language processing (NLP). These techniques are particularly useful when data are scarce. In MTL, knowledge learned from one task is applied to another. To address data scarcity, data augmentation facilitates by providing additional synthetic data during model training. In NLP, the bidirectional encoder representations from transformers (BERT) model is the default candidate for various tasks. MTL and data augmentation using BERT have yielded promising results. However, a detailed study regarding the effect of using MTL in different layers of BERT and the benefit of data augmentation in these configurations has not been conducted. In this study, we investigate the use of MTL and data augmentation from generative models, specifically for category classification, sentiment classification, and aspect-opinion sequence-labeling using BERT. The layers of BERT are categorized into top, middle, and bottom layers, which are frozen, shared, or unshared. Experiments are conducted to identify the optimal layer configuration for improved performance compared with that of single-task learning. Generative models are used to generate augmented data, and experiments are performed to reveal their effectiveness. The results indicate the effectiveness of the MTL configuration compared with single-task learning as well as the effectiveness of data augmentation using generative models for classification tasks.
Non-Invasive Plant Root Tomography Through Optimized Sonar Array Transducer Antenna Design Using Genetic Swarm Metaheuristic
Authors: Alejandrino Jonnel D. , Concepcion II Ronnie S. , Bandala Argel A. , Sybingco Edwin , Vicerra Ryan Rhay P. , Dadios Elmer P.
Published: January 2024

Plant root imaging is crucial for progress in various domains such as plant breeding and crop optimization. Traditionally, root tomography involves invasive methods that disrupt plant systems and yield non-reproducible results. As a result, non-invasive techniques, particularly electrical tomography, have gained significant attention. Despite the advantages, these techniques have limitations in terms of radiation efficiency and directivity due to suboptimal antenna design. This paper presents a comprehensive simulation on antenna design optimization focusing on dimensions, spacing, and integration of advanced algorithms. A micropatch transducer antenna was engineered for an existing in-silico plant root setup operating within a 3–5 MHz frequency range. The optimized dimensions of the antenna are 109.32 mm × 140.67 mm × 2.55 mm, and it resonates effectively within a frequency range of 3.1–5.68 MHz. Using scalar minimization techniques, patch transducers were interconnected into an antenna array with an optimized 3 mm spacing. Utilizing multi-objective optimization algorithm based on sperm fertilization procedure and shuffled frog leaping algorithm, optimal frequencies were obtained at 3,989,796.88 Hz and 3,989,951.83 Hz, respectively. Validated using CADFEKO software, the proposed antenna design demonstrated distinctive voltage distribution, superior directivity of 9.24 dBi, gain of 9.15 dBi, and 98.6% radiation efficiency when compared to the existing silicon-based root tomography antenna setups.
Perceptual Features of Abstract Images for Metaphor Generation
Authors: Yamamura Natsuki , Chikazoe Junichi , Yoshimoto Takaaki , Jimura Koji , Sadato Norihiro , Terai Asuka
Published: January 2024

In this study, the roles of shape and color features in metaphor generation for abstract images were investigated through simulations using retrained convolutional neural network (CNN) models based on the pretrained CNN model, AlexNet. A computational experiment was conducted using five types of retrained object recognition models: an object recognition model using the cleaned ILSVRC-2012 training dataset, one to recognize more shape features using edge-detected images, one to recognize fewer shape features using blurred images, one to recognize fewer color features using grayscale images, and one to recognize only shape features using Canny edge-detected images. The metaphors generated for abstract images were collected from behavioral data obtained in a psychological experiment aimed at investigating the neural mechanisms of metaphor generation for abstract images. In the computational experiment, the simulation results of the five models for abstract images were compared to examine how well they predicted the objects used in the metaphors generated for abstract images in the psychological experiment. The edge-only model using Canny edge-detected images and the color-inhibited model using grayscale images exhibited better performance in metaphor recognition for abstract images than the control condition. This indicates that shape features play a more important role than color features in metaphor generation for abstract images. Furthermore, because the Canny edge detection technique extracts only object outlines that can be regarded as the caricaturization of objects, the caricatured images, based on the shape features of the abstract images, likely influence object recognition for metaphor generation.
Personal Value-Based User Modeling Without Attribute Evaluation and its Application to Collaborative Filtering
Authors: Nihira Kaichi , Shibata Hiroki , Takama Yasufumi
Published: January 2024

This paper proposes a personal values modeling method that does not require attribute ratings. The proposed method is applied to memory-based and model-based collaborative filtering (CF) to demonstrate its effectiveness. A recent trend in CF is to introduce additional factors than interaction history. A rate matching rate (RMRate) has been proposed for modeling user’s personal values, and it has been shown to be effective in increasing diversity and recommending niche (long-tail or unpopular) items. However, RMRate needs an attribute-level evaluations in addition to rating (total evaluation) to items, which limits its applicability. To obtain users’ personal values model only from a rating matrix, this paper defines users’ personal values as their tendency to select popular/unpopular items and reputable/unreputable items. Ten attributes are proposed to model user’s personal values, all of which can be calculated from a rating matrix without additional information. Experimental results on four datasets show that the proposed attributes have different characteristics from the RMRate, and can improve precision, recall, and normalized discounted cumulative gain of memory-based CF and factorization machines. It is also shown that the proposed modeling method is useful for mitigating a cold-start problem.
Construction of Handwritten Indus Signs Dataset Employing Social Approach
Authors: Saini Sujata , Shibata Hiroki , Takama Yasufumi
Published: January 2024

This paper constructs a dataset of handwritten Indus signs employing a social approach. A writing system called the Indus script was created in the Indus civilization. It has been decoded numerous times throughout the years, but it has not yet been fully deciphered. Due to a lack of information and the scarcity of evidence, the mystery of the Indus signs has not yet been fully solved. Recently, there has been an increase in demand for huge datasets in order to use cutting-edge machine learning techniques. Considering the restricted availability of images of authentic Indus signs, this paper proposes creating an Indus signs dataset by asking participants to draw the Indus signs while referring to the image of the original Indus signs. A web application was developed and used to collect the 44 participants’ handwritten images of ten Indus signs. To show the availability of the constructed dataset, it is used to train convolutional neural networks. The experimental result demonstrates that the model can classify the images of original Indus script with 70% accuracy.
Fair Path Generation for Multiple Agents Using Ant Colony Optimization in Consecutive Pattern Formations
Authors: Suzuki Yoshie , Raharja Stephen , Sugawara Toshiharu
Published: January 2024

This study proposes a method to automatically generate paths for multiple autonomous agents to collectively form a sequence of consecutive patterns. Several studies have considered minimizing the total travel distances of all agents for formation transitions in applications with multiple self-driving robots, such as unmanned aerial vehicle shows by drones or group actions in which self-propelled robots synchronously move together, consecutively transforming the patterns without collisions. However, few studies consider fairness in travel distance between agents, which can lead to battery exhaustion for certain agents and thereafter reduced operating time. Furthermore, because these group actions are usually performed with a large number of agents, they can have only small batteries to reduce cost and weight, but their performance time depends on the battery duration. The proposed method, which is based on ant colony optimization (ACO), considers the fairness in distances traveled by agents as well as the less total traveling distances, and can achieve long transitions in both three- and two-dimensional spaces. Our experiments demonstrate that the proposed method based on ACO allows agents to execute more formation patterns without collisions than the conventional method, which is also based on ACO.
ER-IVMF: Evidential Reasoning Based on Information Volume of Mass Function
Authors: Mao Kun , Wang Yanni , Ma Weiwei , Ye Jiangang , Zhou Wen
Published: January 2024

Evidential reasoning (ER) under uncertainty is essential for various applications such as classification, prediction, and clustering. The effective realization of ER is still an open issue. Reliability plays a decisive role in the final performance as a major parameter of ER, reflecting the evidence’s inner information. This paper proposed ER based on the information volume of the mass function (ER-IVMF), which considers both weight and reliability. Numerical examples were designed to illustrate the effectiveness of the ER-IVMF. Additionally, a sports scoring system experiment was conducted to validate the superiority of the ER-IVMF. Considering the reliability based on high-order evidence information, the output of the proposed method was more accurate than that of the other methods. The experimental results proved that the proposed method was practical for addressing sports-scoring problems.
UJI ULTRASONIC PULSE VELOCITY PADA BETON NORMAL YANG MENGGUNAKAN BATU KARANG SEBAGAI PENGGANTI KERIKIL
Authors: Lukas Alva Yuventus , Meynerd Rafael Jusuf Wilson
Published: January 2024

Meluasnya penggunaan beton dalam konstruksi bangunan mengakibatkan kebutuhan akan lebih banyak pada bahan bangunan penyusun beton itu sendiri. Masalah yang timbul dari ini, turunnya jumlah material penyusun beton, dalam hal ini kerikil. Pecahan batu karang yang sering disebut crushed coral limestone merupakan salah satu material alternatif yang dapat digunakan untuk mengatasi hal tersebut. Tujuan penelitian ini adalah untuk mengetahui kualitas beton menggunakan batu karang sebagai pengganti kerikil pada variasi 5%, 25%, dan 50%, dan mengetahui pengaruh umur beton, mutu beton dan prosentasi batu karang terhadap kecepatan rambat gelombang menggunakan UPV. Hasil penelitian (1) kualitas beton menggunakan batu karang sebagai pengganti kerikil variasi 5%, 25%, dan 50%, menunjukan kualitas beton pada kategori “bagus” dan koefisien variasi pada kategori “sangat bagus (excelent)”. (2) kecepatan gelombang UPV dipengaruhi oleh umur beton, mutu beton dan prosentasi penambahan batu karang menggantikan kerikil. Hal ini ditunjukan pada penambahan batu karang sebesar 5% dan 25%, terjadi peningkatan kecepatan gelombang UPV, sedangkan variasi 50%, kecepatan gelombang menurun.
IDENTIFIKASI KERUSAKAN JALAN METODE PCI STUDI KASUS DI RUAS JALAN KABUPATEN GRESIK
Authors: Siswoyo  , Akhmad Maliki  , Soepriyono Soepriyono
Published: January 2024

Penelitian ini membahas mengenai tingkat dan jenis kerusakan jalan di Jalan Golokan – Ujung Pangkah Kabupaten Gresik dengan menggunakan metode PCI (Pavement Condition Index) bertujuan untuk mengetahui derajat dan tingkat kerusakan jalan yang dominan serta urutan prioritas jalan yang harus segera diambil penanganannya berdasarkan hasil skor kondisi kerusakan jalan tersebut. Skor PCI dihitung dengan cara mengurangkan nilai 100 dengan CDV (Corrected Deduct Value) maksimal, PCI = 100 – CDV = 100 – 22=78. Berdasarkan hasil penelitian dapat disimpulkan bahwa jenis kerusakan Jalan Golokan – Ujung Pangkah Kabupaten Gresik berdasarkan ASTM D6433-11 dan Guidance of Highways, skor PCI tertinggi adalah 90 (Sangat Baik) dan terendah adalah 58 (Baik), dan disarankan untuk penanganan kerusakan untuk melakukan perawatan rutin berupa pekerjaan overlay 4 Cm dan 7 Cm.
Анализ динамики эпидемического процесса COVID-19 в мире за неделю с 13.01.2024 г. по 19.01.2024 г.
Authors: Зимирова Анастасия , Поспелов Михаил , Иванова Александра , Дмитриева Людмила , Чумачкова Елена , Карнаухов Игорь , Щербакова Светлана , Кутырев Владимир
Published: January 2024

В обзоре представлен анализ эпидемиологической ситуации в странах мира по COVID-19 за неделю с 13.01.2024 г. по 19.01.2024 г.
Evaluation of Antioxidants, Antibacterial and Antidiabetic Activities of Aqua-alcoholic Marjoram Extract
Authors: Ghudhaib Kadhim K. , Khaleel Fayhaa M.
Published: January 2024

تمتلك المستخلصات النباتية أهمية خاصة تجاه صحة الإنسان والأنشطة الحيوية لمجموعة واسعة من الأمراض. هدفت الدراسة الحالية إلى التحقق من وجود مكونات فعالة في مستخلص أوراق البردقوش ، وتحديد مضادات الأكسدة ، والأنشطة المضادة للبكتيريا والفطريات ، و LD50 ونشاطها المضاد لمرض السكر. تم تحليل المكونات النشطة نوعيا من خلال طرائق اختبار محددة. وتم قياس الأنشطة المضادة للأكسدة ، LD50 ، مضادات البكتريا والفطريات بالطرائق القياسية. وحددت  الفعالية المضادة للسكري  عن طريق تقييم ارتفاع السكر   وفرط شحميات الدم ووظائف الكبد بالطرائق الطيفية. اكدت  النتائج على وجود العديد من المكونات الفعالة تتضمن مركبات الفلافونويد والقلويدات والتربينويدات والعفص والصابونين. كما أظهرت نتائج فعالية مضادات الأكسدة أن مستخلص أوراق البردقوش يمتلك نشاطًا مضادًا للأكسدة مشابهًا  لحمض الأسكوربيك. وأظهرت نتائج LD50 أن الجرعة المسموح بها هي 12.5 ملغم / مل. أشارت نتائج الفعالية الحيوية إلى أن مستخلص أوراق البردقوش يمتلك فعالية مضادة  لمدى واسع من البكتريا والفطريات المرضية ،  ولكن لا يوجد تأثير للمستخلص على E. coli و Staphylococcus aureus حتى عند التراكيز العالية. أظهر مستخلص البردقوش فعالية عاليًة مضادًا  للسكري عند المعالجته لمدة أسبوعين بـ  4 ملغم من المستخلص يوميا. مع تحسن مستوى الدهون ووظائف الكبد ومستويات هرمون التستوستيرون بعد العلاج في مجموعة مرضى السكري مقارنة مع مجموعة التحكم. يمكن الاستنتاج أن مستخلص أوراق البردقوش يحتوي على فعالية عالية مضادة للأكسدة  مع فعالية حيوية عالية ضد البكتريا والفطريات المرضية ونشاط عال مضاد  للسكري مع تعزيز كبير للخصوبة ومستوى عالٍ من الجرعات المسموح بها وفقًا لقيمة LD50.
Apresentação
Authors: Reisdoefer Deise Nivia
Published: January 2024

A primeira edição de 2024 da Revista CONTRAPONTO: Discussões Científicas e Pedagógicas em Ciências, Matemática e Educação conta com 9 manuscritos, subdivididos em Artigos Científicos, Relatos de Experiências e Resenhas. Os trabalhos que compõem esta edição abrangem temáticas relacionadas às áreas de Ensino, Educação e Interdisciplinar. As produções apontam para uma diversidade de temas relevantes para o fazer docente à medida que relatam pesquisas e experiências em sala de aula, nos diversos níveis e em várias instituições de ensino, proporcionando importantes reflexões e análises.
Soft Sensor Development for Real-Time Interface Tracking in Multiple Product Pipelines Based on Knowledge and Data
Authors: Yuan Ziyun , Chen Lei , Zhang Yuhan , Wu Yucheng , Ji Haoyang , Liu Gang
Published: January 2024

Petroleum products are usually consecutively transported in the same multiple-product pipeline, and the occurrence of mixed oil happens during the process. Accurately tracking the mixed oil interface is essential for the optimal scheduling of oil transportation. However, complicated operating conditions and unavoidable measurement noise pose challenges to methods for locating the interface. The data-driven modeling method is a potential solution, but it may face limitations due to issues of overfitting, especially when the data set is contaminated with noise. To tackle such problems, in this paper, we propose a knowledge-informed Bayesian-Gaussian mixture regression (KIBGMR) model to enable the real-time tracking of the interface. The KIBGMR employs finite Gaussian distribution to learn the multimode characteristics of input data, including the hydrothermal data, measured density of tail oil, and the velocity of interface transportation and output data including the measured density of tail oil and interface transportation velocity. Subsequently, it utilizes the prior knowledge related to the regression coefficient through the Bayesian treatment. Evaluations demonstrate that the R2 index achieved by the proposed model in predicting the interface arrival time is greater than 0.98, even with the contaminated data set. This research can help operators accurately grasp the location of the mixed oil interface, formulate reasonable valve switch operations for better management of the mixed oil section, and provide a reference for the method of knowledge-data hybrid modeling.
Synthesizing MnO-based cathode from recycled acrylic fabric for high-performance aqueous zinc ion batteries
Authors: Yan Xuemin , Li Hong , Jiang Yu
Published: January 2024

The authors have requested that this preprint be removed from Research Square.
General purpose propofol target-controlled infusion using the Marsh model with adjusted weight input
Authors: Zhong George , Xu Xiabing
Published: January 2024

We report a simple method for adjusting the weight input of the Marsh target-controlled infusion (TCI) model such that the resulting infusion regime closely mimics the behavior of the Eleveld model, thereby making the Marsh model more precise for patients at the extremes of age and body mass index. To assess the performance of our method, we simulated 2,768 subjects with diverse combinations of age, weight, height and sex undergoing a hypothetical four-hour propofol TCI using both the Marsh model with our weight adjustment and the Eleveld model. The weight adjusted Marsh model produced infusion regimes and corresponding effect site concentrations closely mimicking that of the Eleveld model at all time points, with median and maximum absolute performance errors less than 8.1% and 20.3%, respectively, across the entire cohort. Our weight adjustment method is a simple and robust way of improving the precision of the Marsh model in patients at extremes of age and body mass index, until general purpose TCI models for propofol, such as the Eleveld model, become more widely available in commercial infusion pumps.
Integrating Satellite Altimetry and SAR Technology for Manchar Lake Water Monitoring
Authors: Jamali Shahryar , Zaidi Arjumand , Ali Tauqeer
Published: January 2024

A considerable share of global inland water that fulfills human needs and supports the natural ecosystem is stored in lakes. Mismanaging these resources may trigger extreme floods and droughts. This study utilizes multi-mission altimetry and Synthetic Aperture Radar (SAR) data to monitor water levels and volumetric variations of Manchar Lake. Data from three altimetry missions—Sentinel-3, ICESat-2, and Jason-3— were acquired, processed, and validated from in situ measurements. Moreover, surface area variations from Sentinel-1 SAR data contributed to Lake volume computations. ICESat-2 and Sentinel-3 derived water levels exhibited a strong correlation with actual data, supported by good correlation coefficients (0.84 and 0.95), low mean absolute errors (0.24 and 0.10), and good Nash-Sutcliffe Efficiency statistics (0.61 and 0.91). The performance of the Jason-3 dataset was inferior to that of others, indicating a comparatively weaker correlation (R = 0.80). The observed variance may be linked to the pathway's specific location, close to the bank. This proximity introduces a potential risk of pulse data contamination, as the mixing of water and land may influence the return signal. The lake water levels and surface areas presented a moderate correlation (R = 0.67), suggesting some interdependence and providing insights into the Lake's geometry. This correlation guides selecting an appropriate lake volume formula that approximately represents its characteristics. This study highlights the critical role of satellite technology in managing large lakes and reservoirs, particularly in regions with limited ground data and addressing its importance in bridging the critical data gap.
TASP1 promotes the proliferation and metastasis of breast cancer by up-regulating ESR1
Authors: Xiong Fukang , Zhang Xun , Yan Ming , Xiao Lei , Du Pengcheng , Zhang Pengcheng
Published: January 2024

Background
Among females, breast cancer is the leading cause of cancer-related mortality. While the association between TASP1 and the development of various cancers has been reported, uncertainty remains regarding its role in breast cancer.
Objective
The goal of this study was to investigate the impact of TASP1 in breast cancer and its potential mechanism of action.
Methods
The expression of TASP1 in breast cancer tissues and cell lines was conducted through the utilization of RT-qPCR and western blot. Small interfering RNA (si-RNA) was used to silence the expression of TASP1 in breast cancer cell lines. The assessment of cell proliferation and metastasis ability was conducted by CCK-8 assay, colony-formation assay, wound-healing assay and transwell assay. Differential expression genes (DEGs) of TASP1 were downloaded using bioinformatics analysis, KEGG pathway enrichment analysis was performed to ascertain the connection of TASP1 and steroid hormone biosynthesis.
Results
The level of TASP1 expression was significantly elevated in both breast cancer tissues and cell lines. Silence of TASP1 in breast cancer cell lines resulted in the inhibition of cell proliferation and metastasis. KEGG pathway enrichment analysis revealed significant enrichment of steroid hormone biosynthesis. The silence of TASP1 led to a decrease in the expression of ESR1 and PGR, indicating their potential involvement in the regulation of TASP1.
Conclusions
TASP1 demonstrated upregulation in both breast cancer tissues and cell lines. The silence of TASP1 effectively impeded the proliferation and metastasis of breast cancer cells by suppressing ESR1.
On the relationship between heavy precipitations and widespread circulation patterns in Babolrood basin (North of Iran)
Authors: Razmi Robab , Hesami Narges , Rabiee Zahra , Ostad-Ali-Askari Kaveh
Published: January 2024

Value, intensity, and type of precipitation changes in temporal and spatial dimensions. Changes in precipitation cause changes in rivers flows. In this study for investigating the behavior of precipitation and debit of Babolrood basin, the Goran Talar station selected. Singular spectrum analysis (SSA) have been applied to precipitation and debit data collected in the Babolrood basin during the period 1980–2015. Results shown the existence cycles with 2 years return period in debit and precipitation. Days with heavy precipitation were identified in this basin. Then, atmospheric situation at the sea level pressure (SLP) and high level pressure (500hp) at the heavy precipitation days were analyzed. After grouping these days, based on cluster analysis technique, three patterns were determined as the dominant patterns of heavy precipitation in the Babolrood basin. After determining this patterns, it is found that the formation of short waves on top of long waves and their direction towards Iran is the most important cause of heavy precipitation in the Babolrood basin.
Safety and efficacy of umbilical cord tissue-derived mesenchymal stem cells in the treatment of patients with aging frailty: a phase I/II randomized, double-blind, placebo-controlled study
Authors: Zhu Yingqian , Huang Ce , Zheng Liang , Li Qingqing , Ge Jianli , Geng Shasha , Chen Xin , Yuan Huixiao , Li Yang , Jia Wenwen , Sun keping , Li Yan , Ye Tong , Zhao Zhengme , Liu Hailiang , Liu Zhongmin , Jiang Hua
Published: January 2024

Background: Mesenchymal stem cell (MSC) based therapy holds great promise for cell-based therapy in regenerative medicine. In this study, we aimed to evaluate the safety and efficacy of intravenous infusion of human umbilical cord-derived MSCs (HUC-MSCs) in patients with aging frailty.
Methods: In this randomized, double-blind, placebo-controlled trial, participants diagnosed with aging frailty were randomly assigned to receive intravenous administrations of HUC-MSCs or placebo. All of serious adverse events (SAEs) and AEs were monitored to evaluate the safety of treatment during the 6-month follow-up. The primary efficacy endpoint was alteration of physical component scores (PCS) of SF-36 qualities of life at 6 months. The secondary outcomes including physical performance tests and pro-inflammatory cytokines, were also observed and compared at each follow-up visits. All evaluations were performed at 1 week, 1, 2, 3 and 6 months following the first intravenous infusion of HUC-MSCs.
Results: In the MSCs group, significant improvements in PCS of SF-36 were observed from first post-treatment visit and sustained throughout the follow-up period, with greater changes compared to the placebo group (p=0.042). EQ-VAS scores improved significantly at 2 month (p=0.023) and continued until the end of the 6-month visit (p=0.002) in comparison to the placebo group. The timed up and go (TUG) physical performance test revealed significant group difference and showed continual enhancements over 6 months (p＜0.05). MSC transplantation improved the function of four-meter walking test (4MWT) compared with the placebo group with a decrease of 2.05s at 6 months of follow-up (p=0.21). The measurement of grip strength revealed group difference with MSCs group demonstrating better performance, particularly at 6 months (p=0.002). Inflammatory cytokines (TNF-a, IL-17) exhibited declines in MSCs group at 6 months compared to the placebo group (p=0.034 and 0.033, respectively). There was no difference of incidence of AEs between the two groups.
Conclusion: Intravenous transplantation of HUC-MSCs is a safe and effective therapeutic approach on aging frailty. The positive outcomes observed in improving quality of life, physical performance and reducing chronic inflammation, suggest HUC-MSC therapy may be a promising potential treatment option for aging frailty.
Trial Registration: Clinicaltrial.gov; NCT04314011;
Registered 10 December, 2019;
URL: https://clinicaltrials.gov/ct2/show/NCT04314011.