bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a Loop-Mediated Isothermal Amplification Technique for Sex Detection in Cervidae Species
Authors: Zorkóczy Orsolya Krisztina , Gyurcsó Adrienn , Ózsvári László , Lehotzky Pál , Raveendranathanpillai Sanil , Zenke Petra
Published: May 2024

Determining sex in Cervidae species is crucial for wildlife management, conservation, breeding programs, disease surveillance, and forensic investigations. While existing genetic sexing methods have proven effective, they often involve time-consuming and resource-intensive processes. In response to the growing need for a more efficient and cost-effective technique, this study aimed to develop a novel loop-mediated isothermal amplification (LAMP) method for sex detection in various deer species. We designed LAMP primers specific to Cervidae based on sex chromosome-located genes, AmelogeninX, and SRY. Analytical specificity was confirmed using 108 samples from red deer, roe deer, and fallow deer, and species specificity was also tested in other deer and mammal species. Sex determination results were fast (40 minutes) and accurate (100% reliability). This technique has the advantage of allowing researchers to identify the sex of different deer species using the same method. Using the isothermal amplification properties of LAMP, this new method provides a simple, quick, and accurate tool to help researchers, wildlife managers, and forensic investigators with important sex-related questions in cervid populations.
Integrating Agglomerative Clustering with Temporal Deep Learning Models for System Failure Detection
Authors: Pithode Kamiya , patheja Pushpinder Singh
Published: May 2024

This research introduces a pioneering approach to system failure detection by integrating agglomerative clustering with temporal deep learning models, leveraging hierarchical log analysis. Traditional methods of log analysis for failure detection heavily rely on manual inspection or straightforward machine learning models that often overlook the rich temporal dynamics and inherent structures within log data. Recognizing this gap, our study proposes a novel methodology that employs agglomerative clustering to preprocess system logs, grouping similar log messages based on content and temporal characteristics. This preprocessing step not only aids in uncovering common patterns and anomalies within the logs but also optimizes the input feature space for subsequent deep-learning analysis. We further enhance the predictive capabilities of our models by incorporating interpolated timestamps into Recurrent Neural Networks (RNN) and Convolutional Neural Networks (CNN), capturing the nuanced temporal behaviors indicative of system health. The integration of cluster-based features with temporal deep learning models presents a dual advantage: it significantly improves the accuracy of failure detection and offers deeper insights into the underlying causes of system anomalies. Through rigorous evaluation of the Hadoop Distributed File System (HDFS) log dataset, our approach demonstrates superior performance compared to existing methods, achieving noteworthy advancements in precision, recall, and F1 score. This research not only contributes to the field of automated system monitoring and diagnosis by introducing an effective method for analyzing complex log data but also paves the way for further exploration into the integration of hierarchical clustering techniques with deep learning for enhanced interpretability and predictive performance in various domains.
Towards Personalized Anti-Phishing: Counterfactual Explanation Approach
Authors: Fan Zhengyang , Li Wanru , Laskey Kathryn , Chang Kuo-Chu
Published: May 2024

In today’s digital landscape, phishing attacks persist as a formidable challenge, highlighting the need for robust strategies to mitigate individual risk. While advanced machine learning techniques have excelled in identifying those most susceptible to phishing, existing research has primarily focused on refining prediction accuracy rather than leveraging this understanding to mitigate risk. To bridge this gap, we present a novel counterfactual explanation approach aimed at identifying the specific traits that heighten an individual’s vulnerability to phishing. Our approach integrates uncertainties and causal insights from the data generation process, producing actionable intelligence to effectively lower individual susceptibility. This enables us to tailor personalized recommendations to reduce individual’s vulnerability. Through experimentation, we assess the efficacy of our methodology and demonstrate capacity to reduce susceptibility to phishing. These findings emphasize the importance of personalized interventions, arming individuals with the knowledge necessary to improve their online security protocols.
Electrical impedance spectroscopy: Potential non-destructive method for aflatoxin B1 in peanut
Authors: Feng Longlong , Zhang Meiyue , Dong Zhanwei , Guo Jia , Zhang Hanlu , Liu Zhixia
Published: May 2024

This study proposed a potential non-destructive electrical impedance spectroscopy method for aflatoxin B1 (AFB1) in peanuts produced under improper storage conditions. The following were analyzed: 1) how improper storage time affected the aflatoxin content; 2) impedance spectra, microstructure, and nuclear magnetic resonance of peanuts with different aflatoxin contents; 3) a selected-frequency method to determine the relationship between electrical parameters and aflatoxin. The aflatoxin content was proportional to the number of days of improper storage. The parameters of electrical impedance spectrum under multi-frequency (1000 Hz and 4 MHz) were better than those under the single frequency (1000 Hz or 4 MHz), and the combination of Z and θ showed the best correlation (R2 = 0.998). The detection mechanism was accurate under improper storage conditions, and aflatoxin production was accompanied by moldy kernel, leading to changes in endosperm structure and impedance. Our study informs the development of non-destructive detection devices for aflatoxins in peanuts.
Multi-modal Radiomics Features to Predict Overall Survival of Locally Advanced Esophageal Cancer after Definitive Chemoradiotherapy
Authors: Yu Nuo , Wan Yidong , Zuo Lijing , Cao Ying , Qu Dong , Liu Wenyang , Deng Lei , Zhang Tao , Wang Wenqing , Wang Jianyang , Lv Jima , Xiao Zefen , Feng Qinfu , Zhou Zongmei , Bi Nan , Niu Tianye , Wang Xin
Published: May 2024

Purpose
To establish prediction models to predict 2-year overall survival (OS) and stratify patients with different risks based on radiomics features extracted from magnetic resonance imaging (MRI) and computed tomography (CT) before definite chemoradiotherapy (dCRT) in locally advanced esophageal squamous cell carcinoma (ESCC).
Methods
Patients with locally advanced ESCC were recruited. We extracted 547 radiomics features from MRI and CT images. The least absolute shrinkage and selection operator (LASSO) for COX algorithm was used to obtain features highly correlated with survival outcomes in training cohort. Based on MRI, CT and the hybrid image data, three prediction models were built. The predictive performance of the radiomics models was evaluated in the training cohort and verified in the validation cohort using AUC values.
Results
A total of 192 patients were included and randomized into the training and validation cohorts. In predicting 2-year OS, the AUCs of the CT-based model were 0.733 and 0.654 for the training and validation sets. The MRI radiomics-based model was observed with similar AUCs of 0.750 and 0.686 in the training and validation sets. The AUC values of hybrid model combining MRI and CT radiomics features in predicting 2-year OS were 0.792 and 0.715 in the training and validation cohorts. It showed significant differences of 2-year OS in the high-risk and low-risk groups divided by the best cutoff value in the hybrid radiomics-based model.
Conclusions
The hybrid radiomics-based model has the best performance of predicting 2-year OS and can differentiate the high-risk and low-risk patients.
Existence and simulation of solutions for a class of fractional differential systems with p-Laplacian operators on star graphs
Authors: Zhang Yuanyuan , Su Youhui , Yun Yongzhen
Published: May 2024

This paper is mainly concerned with the existence and simulation of solutions for a class of Caputofractional differential systems with $p$-Laplacian operators on star graphs. The Hyers-Ulam stability of the systems on star graphsis also proved. Furthermore, an example on a formaldehyde graph is presented to demonstrate the practicality of the main results. The innovation of this paper lies in combining a fractional differential system with a formaldehyde graph, interpreting the chemical bonds as the edges of the graph, and exploring the existence and numerical simulation of solutions to the fractional differential system on this unique graph structure.
MSC(2020): 34A08 , 34B15 , 34K37.
Reservoir computing using spin-VCSELs - the influence of timescales and data injection schemes
Authors: Lüdge Kathy , Jaurigue Lina , Jaurigue Jonnel , Mühlnickel Lukas
Published: May 2024

Reservoir computing implemented in photonic systems promises fast and energy efficient computations. Due to their particularly fast spin-flip dynamics, vertically emitting semiconductor lasers with two spin polarized charge carrier populations (spin-VCSEL), are good candidates for high-speed reservoir computing. However, spin-VCSELs are complex dynamical systems, and in order to properly utilise their dynamics for computation, a thorough understanding of the interplay of dynamical variables and external control parameters is needed. With our work, we numerically show the crucial impact of dynamic coupling and decay timescales on the prediction performance of a spin-VSCEL reservoir computer. We present numerical evidence of the critical impact of different data injection schemes and internal timescales. Injection schemes based on the phase of the injected light and on generating spin polarized charge-carriers are compared as a function of the spin carrier lifetimes. A central finding is that the internal relaxation dynamics of the charge carriers is only beneficial for the performance with encoding via the spin polarized current. If the data is encoded via an optical phase difference, these carrier dynamics, and with it the additional memory, cannot be utilised. We find strong correlations with the underlying delay induced bifurcation structure, which allows to transfer the results also to other physical reservoir computing systems.
MGVB: a new proteomics toolset for fast and efficient data analysis
Authors: Metodiev Metodi
Published: May 2024

MGVB is a collection of tools for proteomics data analysis. It covers data processing from in silico digestion of protein sequences to comprehensive identification of post-translational modifications and solving the protein inference problem. The toolset is developed with efficiency in mind. It enables analysis at a fraction of the resources cost typically required by existing commercial and free tools. MGVB, as it is a native application, is much faster than existing proteomics tools such as MaxQuant and MSFragger and, at the same time, finds very similar, in some cases even larger number of peptides at a chosen level of statistical significance. It implements a probabilistic scoring function to match spectra to sequences, and a novel combinatorial search strategy for finding post-translational modifications, and a Bayesian approach to locate modification sites. This report describes the algorithms behind the tools, presents benchmarking data sets analysis comparing MGVB performance to MaxQuant/Andromeda, and provides step by step instructions for using it in typical analytical scenarios. The toolset is provided free to download and use for academic research and in software projects, but is not open source at the present. It is the intention of the author that it will be made open source in the near future—following rigorous evaluations and feedback from the proteomics research community. Data used to generate the reported results are available via ProteomeXchange with identifier PXD051331.
Surface Toughening - Functionality and testing of a stress reducing technology of bonded joints using DCB and ENF specimen made of 8552/IM7 carbon composite and PVDF bonded with EA9695 film adhesive
Authors: Schollerer Martin J. , Kosmann Jens , Völkerink Oliver , Hühne Christian
Published: May 2024

Structural bonding has clear advantages over riveting or bolting, such as weight savings, corrosion and load transfer over a wide area. However, even with bonded joints, stress concentrations occur near the edges, which can lead to crack growth during operation and thus to failure of the entire joint. This is precisely the reason why adhesive bonding and subsequent bolting are used in today's aerospace industry. However, this hybrid solution adds up all the disadvantages of bonding with those of bolting, so the goal must be a bolt-free bonded joint where stress concentrations are significantly reduced. A technology of this type is surface toughening, which, when used locally, selectively reduces stress concentrations in the peel and shear components and redistributes the load to the less stressed nearby regions. In this paper, the functionality is demonstrated using a spring model and the effect is experimentally validated in Mode I and Mode II load directions using DCB and ENF specimens. PVDF is used as tough modifying material. With local surface toughening, the energy release rate GIC of the adhesive under Mode I is increased by 25%. Under Mode II, no further crack growth can be identified in the ENF tests.
Assessment of surface water potential and irrigation water requirements for selected crops: the case of the Zenti River catchment, Omo Gibe River Basin, Ethiopia
Authors: Worku Diriba , Boja Abuye , Fantu Adugna
Published: May 2024

Irrigation potential assessment has enormous use for smallholder farmers, who are largely dependent on subsistence farming systems. Due to rising agricultural production demands and the scarcity of irrigation water resources, assessing irrigation potential is very important for the planning, management, and irrigation development of an area. However, there were very limited studies available in the study area that indicated irrigation water potential, and crop water demand in the area. Therefore, the main objective of this study was to assess the surface water potential and irrigation water requirements for selected crops in the Zenti River catchment, Omo Gibe River Basin, Ethiopia. To achieve the objectives, hydro-meteorological data and physiographic characteristics were used. This was accomplished using the CROPWAT model, FDC2.1 software, and GIS-based tools. The CROPWAT models to estimate the amount of irrigation water needed for major crops growing in the area, as well as FDC 2.1, were used. The FDC 2.1 software result revealed that the overall long-term monthly minimum available stream flow of the Zenti River is 0.11m3/s. According to the CROPWAT model result, the seasonal net irrigation requirements for sugarcane, maize, cabbage, and onion (60% field efficiency) were 640.66mm, 260mm, 251.66mm, and 233.17mm, respectively. The result indicated that although the need for irrigation water varies depending on the season, the potential irrigation area of the River catchment is in the order of 0.1% of the watershed. The results from this study could enable decision-makers and smallholder farmers to further use surface water for irrigation purposes with a proper management system.
Technological and Electrophysical Characteristics of Receiving Detectors Based on SI(Li), SI (Au) Structures With Scintilator Semiconductor
Authors: A Radjapov S. , I. Maripov
Published: May 2024

The scientific significance of the research results is that new technological processes for the preparation of semiconductor detectors based on the Si(Li) p-i-n structure with nuclear radiation were seen and their electrophysical characteristics were determined. Such results are explained by the fact that they are of great importance in the practical application of various semiconductor devices. The practical significance of the research results is the development and implementation of Si(Li) p-i-n structural detectors based on semiconductor monocrystalline silicon.
Harmonising climate mitigation and sustainable development outcomes
Authors: Adshead Daniel , Nerini Francesco Fuso , Thacker Scott , Stenström Oscar , Hall Jim W.
Published: May 2024

Actions to mitigate greenhouse gas emissions can contribute to a country’s wider development targets, a concept emphasised in the most recent IPCC report on mitigation. Almost every country globally has defined their Nationally Determined Contributions, or NDCs, which provide a formalised mechanism to communicate these commitments. Driven by the urgency imposed by the decade of action, and opportunities presented by ongoing NDC updates, we argue for a more explicit indicator-based alignment of these pledges with the 2030 Agenda for Sustainable Development. Here, we illustrate a methodology for quantifying and aligning NDC actions with Sustainable Development Goal (SDG) performance. We demonstrate this approach using four established SDG indicators using data from 196 countries, from a diverse range of socio-economic contexts. In doing so, we highlight the potential for harmonised emissions reductions and SDG action to underpin the transition towards a more sustainable and resilient future for people and the planet.
Classification of Speech Arrests and Speech Impairments during Awake Craniotomy: a multi-databases analysis
Authors: Maoudj Ilias , Kuwano Atsushi , Panheleux Céline , Kubota Yuichi , Kawamata Takakazu , Muragaki Yoshihiro , Masamune Ken , Seizuer Romuald , Dardenne Guillaume , Tamura Manabu
Published: May 2024

Purpose: Awake craniotomy presents a unique opportunity to map and preserve critical brain functions, particularly speech, during tumor resection. The ability to accurately assess linguistic functions in real-time not only enhances surgical precision but also contributes significantly to improving postoperative outcomes. However, today, its evaluation is subjective as it relies on a clinician’s observations only. This paper explores the use of a deep learning based model for the objective assessment of speech arrest and speech impairments during awake craniotomy.
Methods: We extracted 1883 3-second audio clips containing the patient’s response following Direct Electrical Stimulation from 23 awake craniotomies recorded from two operating rooms of the Tokyo Women’s Medical University Hospital (Japan) and 2 awake craniotomies recorded from the University Hospital of Brest (France). A Wav2Vec2-based model has been trained and used to detect speech arrests and speech impairments. Experiments were performed with different datasets settings and preprocessing techniques and the performances of the model were evaluated using the F1-score.
Results: The F1-score was 84.12% when the model was trained and tested on Japanese data only. In a cross-language situation, the F1-score was 74.68% when the model was trained on Japanese data and tested on French data.
Conclusion: The results are encouraging even in a cross-language situation but further evaluation is required. The integration of preprocessing techniques, in particular noise reduction, improved the results significantly.
Redesain Remote Laboratorium Rumpun Mata Kuliah Jaringan Komputer FTI UKDW dengan Pendekatan Modular
Authors: Narung Olivia , Indriyanta Gani , Raharjo Willy Sudiarto
Published: May 2024

Penerapan laboratorium jaringan yang dapat diakses secara remote di FTI UKDW dimulai pada tahun 2022 dengan menggunakan sistem remote berbasis VPN (Virtual Private Network). Penelitian sebelumnya mengidentifikasi beberapa kendala teknis dalam implementasinya dan menimbulkan kendala biaya berlangganan berkala. Oleh karena itu, penelitian ini memiliki tujuan untuk melakukan perancangan ulang sistem dengan mengadopsi metode port forwarding sebagai alternatif yang diharapkan dapat mengoptimalkan penerapan remote laboratorium sambil mengurangi biaya pemeliharaan. Penelitian ini fokus pada analisis terhadap kualitas performa dari desain remote laboratorium dengan menggunakan metode port forwarding. Selain itu, penelitian juga bertujuan untuk mengukur tingkat kenyamanan mahasiswa dalam menggunakan sistem jaringan remote laboratorium melalui pengumpulan data kuesioner. Dari hasil penelitian, perancangan ulang dengan metode port forwarding dapat diimplementasikan sesuai dengan skenario yang diharapkan. Mahasiswa menunjukkan tingkat kepuasan yang tinggi, mencapai 50%, dengan sebagian besar merasa mudah dalam mengakses alat praktikum dan menilai sistem ini user-friendly.
The effect of lean tool on research culture and research performance in Indonesia’s higher education institutions
Authors: Farida Farida , Badawi Saluy Ahmad , Kasmir Kasmir , Christina Nawangsari Lenny
Published: May 2024

Quality Assurance in higher education is a lean tool to improve the quality and performance of HEIs, including lecturer research performance. This study examines the effect of implementing Quality Assurance in higher education as a lean tool on the research culture and research performance of lecturers at Indonesia’s private HEIs. The data represent respondents’ perceptions of the research variable indicators. 184 questionnaires were suitable for processing. Data were collected from 184 lecturers from approximately 25 private HEIs in Jakarta, Indonesia. A 5-point Likert scale was used to measure indicators of research variables. Statistical data analysis was carried out using Structural Equation Modeling with the Smart-PLS ™ program. The results show that Quality Assurance as a lean tool has a significant impact on research performance (β = 0.643; p = 0.000) and research culture (β = 0.361; p = 0.000). Research culture affected research performance significantly (β = 0.281; p = 0.000), and research culture significantly mediates the effect of Quality Assurance as a lean tool on the research performance (β = 0.102; p = 0.010), and the effect is strong (Ѵ = 0.181). Research findings reveal that the successful implementation of Quality Assurance as a lean tool is determined more by organizational readiness than individual readiness; this is reflected in the existence of effective research centers. An effective research center will support the standardization of research processes through continuous improvement so that lecturers behave more actively in scientific activities and perform research more productively.
THE ROLE OF jj COUPLING ON THE ENERGY LEVELS OF HEAVY ATOMS
Authors: Dias Lucas , Cardozo Thiago , Faria Roberto
Published: May 2024

The study of atomic spectroscopy has a profound relationship with quantum mechanics and its comprehension. Since Bohr’s success with a theory for the atom, it has been established that spectrum lines originate from transitions between different states. Moreover, the analysis of complex spectra reveals that there are groups of spectral lines that compose what is called a multiplet. To rationalize the multiplet structure, we need models to characterize and label the quantum states. The characterization of the atomic states is a common subject in classes of physical chemistry and inorganic chemistry, and there are basically two approaches to infer and label the energy states: (i) the LS coupling scheme and (ii) the jj coupling scheme. Usually, only the LS coupling is presented, and this ends up omitting its underlying assumptions. Here, we present a survey of both approaches, highlighting their premises and their adequacy towards different groups of the periodic table, ions, and excited states configurations. We show that by using benchmark data together with the Landé interval rule, the appropriate use of the jj coupling to understand the atomic spectra of heavier atoms is easily conveyed.
Sustainable fish oil extraction from catfish visceral biomass: A comparative study between high-shear homogenization and high-frequency ultrasound on wet rendering process
Authors: Dave Jaydeep , Kumar Nishant , Upadhyay Ashutosh , Purba Daniel Tua , Kudre Tanaji , Nukthamna Pikunthong , Sa-nguanpuag Sampatee , Moula Ali Ali Muhammed , Bavisetty Sri Charan Bindu
Published: May 2024

Traditional wet rendering leads to the degradation of polyunsaturated fatty acids in fish oil. Therefore, we combined this method with high-shear homogenization and high-frequency ultrasound to extract oil from Clarias magur visceral biomass. This way, we aimed to achieve higher oil yield, shorter extraction times, and a better preservation of polyunsaturated fatty acids.
High-shear homogenization and high-frequency ultrasound increased the oil yields by 9.17 and 10.55%, respectively, compared to traditional wet rendering. The oil quality was also improved, with lower acid and peroxide values. Scanning electron microscopy confirmed enhanced cell disruption for increasing the oil extraction efficiency. Fourier transfer infrared spectroscopy also proved the efficacy of homogenization and ultrasound pretreatment in enhancing the extraction of polyunsaturated fatty acids from C. magur visceral biomass. Their content showed a significant variation among different extraction methods. Specifically, the high-frequency ultrasound method resulted in a notable 15.1% increase, while the high-shear homogenization method demonstrated a significant 13.3% increase, compared to the wet rendering method (control). The oil extracted by the high-frequency ultrasound method demonstrated a 7.5% increase in eicosatetraenoic acid and a 11.7% increase in docosahexaenoic acid, as compared to the oil obtained from the control method. High-shear homogenization and high-frequency ultrasound shortened the extraction time and reduced the temperature requirements for oil extraction from wet biomass.
These techniques have potential for efficient fish oil extraction, valuable in the healthcare and food industries.
Impact of efficiency on affordability: A study of the Brazilian new water loss goals
Authors: Salgado Fagundes Thalita , Cunha Marques Rui , Fabrício Malheiros Tadeu
Published: May 2024

Infrastructure service affordability has become a burgeoning concern over the past years due to the recent economic crisis and the growing role of tariffs in funding the services. Pressure on utilities to promote social assistance programs in addition to an efficient service has risen toward providing water as affordable as possible. This study shows the positive impact of efficient services on families' water affordability by analyzing the new Brazilian water loss goals and the potential effect of water loss reduction on total expenses reported in the Brazilian utilities' National Water and Sanitation Information System. The total service cost for water and sanitation (before and after the aforementioned goals) was then translated to average tariff per cubic meter and affordability ratios. The potential water volume saved in physical losses can reach up to 16.6% of the water consumed in the country, and although the impact on water affordability was timid, the positive results indicate utilities have an important role in assuring water and sanitation for all, and regulators must be involved toward taking a deep look at local conditions.
Theoretical analysis of linear oscillations of bubbles in a polydisperse cluster
Authors:   Mavlyutov Institute of Mechanics UFRC RAS, Ufa, Russia, Nasibullaeva E.Sh.
Published: May 2024

The dynamics of a single air bubble in an unbounded liquid are significantly different from the dynamics of an individual bubble in clusters due to the hydrodynamic interaction between the bubbles. Studying the mechanism of this interaction is one of the important aspects in the study of the fundamental nature of acoustic and hydrodynamic cavitation. In this work, to analyze small oscillations of bubbles in a spherical cluster near a stable equilibrium position, the mathematical theory of a linear conservative system with several degrees of freedom is applied to explain the mechanism of interaction between bubbles of different sizes. Using this theory, in the general case, it has been proven that the number of resonance frequencies in a polydisperse cluster coincides with the number of fractions. It is shown that in the regions of the main resonance (at low frequencies) bubbles of different fractions oscillate in phase, and in the regions of secondary resonances (at high frequencies) the phases successively change to the opposite, starting with the fraction containing bubbles of the largest radius, and further changing in order of decreasing. Using the example of a two-fraction cluster, it was found that there is an inertial connection between the bubbles, but there is no force connection; when the number of bubbles of one of the fractions is small, the connection between them and the bubbles of the other fraction is weak, while the interaction between them can be strong. An analysis of the energy transfer between bubbles of different fractions showed that the change in the nature of bubbles oscillations in the fraction with a small radius, while the nature of vibration of bubbles in the other fraction does not change, is the result of dynamic damping.
Application of periodic mode during the operation of oil wells at the late stage of development
Authors:   Ufa State Petroleum Technological University, Ufa, Russia, Bakirov R.R. , Boltenkov D.D. , Sadrutdinov T.R.
Published: May 2024

Currently, the number of wells operating with a high water cut is growing every year. This leads to a decrease in the profitability of operating oil fields, since the time and energy costs for processing well products increase, and the amount of oil at the output decreases. Thus, optimizing the operating mode of wells in order to reduce water cut by transferring them to periodic mode is one of the key tasks to increase the productivity of oil field development. Oil fields at a late stage of development are characterized by a decrease in oil production volumes and an increase in water cut in well production, as well as a deterioration in the structure of reserves. Residual oil production under difficult conditions plays an important role in maintaining overall field productivity. Low-yield wells can be used to additionally recover oil that was previously unable to be produced during the initial development of wells. In addition, the operation of low-yield wells at a late stage of development makes it possible to reduce the cost of drilling new wells. This article is devoted to the study and updating of this issue. Work continued on the study of converting wells from constant to periodic mode in order to increase technological development indicators, such as reducing the volume of produced water, reducing the specific energy consumption per ton of oil produced and increasing the turnaround time for installing an electric centrifugal pump. An analysis of well operation in constant and periodic modes was carried out for the conditions of the Surgut field. It is shown that transferring the well to periodic mode will reduce the cost of electricity consumption.
CAPITAL INTELECTUAL
Authors: Vinícius Figueiredo de Faria  , Corrêa Fábio , Eunice Ribeiro Moreira  , Frederico Giffoni de Carvalho Dutra  , Jurema Suely de Araújo Nery Ribeiro
Published: May 2024

A Gestão do Conhecimento e o Capital Intelectual visam promover o desenvolvimento de uma gestão eficaz dos recursos para gerar vantagens competitivas numa economia baseada no conhecimento. Nesse contexto, investidores, executivos de empresas, profissionais, governantes e acadêmicos debatem, há tempos, o potencial de criação de valor do Capital Intelectual. No entanto, os modelos, definições e elementos que sustentam esse campo científico ainda não fornecem um arcabouço fundamental que tenha como função nortear a mensuração do Capital Intelectual nos mais diversos portes empresariais. A saber, para uma empresa de pequeno porte alguns métodos, como Skandia Navigator™ e Investor Assigned Market Value™, podem não ser condizentes com o intento de mensurar seu Capital Intelectual. Seja por serem muito abrangentes (Skandia Navigator™), ou por serem destinados (Investor Assigned Market Value™), majoritariamente, a mensuração de intangíveis em empresas de maior porte (empresas com capital aberto em bolsa de valores). Assim, esta pesquisa tem por intento identificar os métodos da mensuração do Capital Intelectual e sua correlação com os mais diversos portes empresariais. Foi empregada a Análise de Conteúdo como um método qualitativo-exploratório-descritivo para investigar o ambicionado. Dessa maneira, espera-se que o estabelecimento da correlação porte-método enriqueça discussão sobre a utilização e a gestão dos ativos intangíveis. Contudo, esta pesquisa é limitada pelo pequeno número de estudos analisados. No entanto, estes foram suficientes para identificar os aspectos estabelecidos. Sugestões para pesquisas futuras incluem estender o escopo do estudo para incluir bancos de dados adicionais e solicitar a opinião de especialistas sobre tópicos adicionais.
Camptothecin and its Analogs: High-Yielding Ophiorrhiza Species from
Sri Lanka for Sustainable Anticancer Compound Production
Authors: Ranasinghe Hewagamage Dona Gihani Asmeer , Kumara Peramune Arachchilage Amila Saman Prasad , Weerasekara Koonara Mudiyanselage Thilini Dinesha , Perera Poruthotage Pradeep Rasika , Salim Nazeera , Gamage Chandrika Udumalagala
Published: May 2024

Introduction:

Camptothecin (CPT) is pivotal in cancer treatment, derived from various
CPT-producing plant species, and is a fundamental component in synthesizing valuable cancer drugs
like Irnotican and Topotecan. Sourcing from nature poses conservation issues, fostering interest in
the herbaceous Ophiorrhiza plant as a more sustainable alternative. Ophiorrhiza species in Sri Lanka
lack comprehensive study, warranting exploration for echo-friendly anticancer compound production.

Objectives:

This study examines CPT and analog content in Ophiorrhiza mungos, O. pectinata, and
O. rugosa across diverse Sri Lankan regions.

Methods:

The study employs Thin Layer Chromatography (TLC), High-Performance Liquid Chromatography-DAD (HPLC-DAD), and Liquid Chromatography-Mass Spectrometry (LC-MS) to
quantify and confirm CPT and its analogs.

Results:

Significant variations in the content of CPT and its analogs were observed among plant
parts and regions. O. mungos from Deraniyagala and Bibile regions notably exhibited elevated CPT
levels in fruits and roots. O. rugosa var. Angustifolia and O. pectinata also exhibited a considerable
content of CPT in their roots, though it was significantly lower (p < 0.005) than O. mungos.

Conclusion:

The study validates analytical methods for specificity, linearity, precision, accuracy,
and sensitivity per ICH guidelines. The results indicate that Ophiorrhiza species, especially O. mungos and O. rugosa var. Angustifolia holds the potential to be a sustainable source of CPT. Optimizing
cultivation practices offers an eco-friendly solution for anticancer compound production, alleviating
species threats and conserving biodiversity.
Umbilical Cord Blood and UC-MSCs Combined with Low-Dose
Immunosuppressant in the Treatment of Elderly Patients with Pure Red
Cell Aplastic: A Case Series
Authors: Zhu Wei-Wei , Zhuang Sujing , Yu Zhe , Li Xin , Han Tian-Jie , Ma Yue , Li Li-Jun , Zhao Zhi-Rui
Published: May 2024

Introduction:

At present, cyclosporine (CsA) is the first-line treatment for Pure Red Cell
Aplasia (PRCA), but CsA administration can be associated with a number of side effects due to its
high toxicity. Therefore, it is urgent to explore a safe and effective treatment for elderly patients who
cannot be treated with conventional doses of CsA, especially those with multiple complications.
Allogeneic Stem Cell Transplantation (ASCT) for PRCA is a promising treatment, but reports of
using umbilical cord blood (UCB) are very rare.

Case Presentation:

In this report, UCB and umbilical cord mesenchymal stem cells (UC-MSCs)
combined with low-dose CsA (1-3mg/kg/d) were used to treat 3 elderly patients who were diagnosed
with PRCA combined with multiple complications in heart, lung, and renal. The treatments were
successful without complications, and 12 months after stem cell infusion, the blood tests of the patients came normal. Moreover, the function of the liver, heart, and kidney continued to be stable.

Conclusion:

This report provides an effective regimen of using UCB and UC-MSCs combined with
low-dose CsA (1-3 mg/kg/d) to treat PRCA, especially for elderly patients with multiple complications who cannot use the conventional dosage.
Space Nursing for the Future Management of Astronaut Health in other Planets: A Literature Review
Authors: Rivera Milton V. , Vargas Mariela , Cornejo José , Plascencia Paola Velasco , Guillen Karen , Maquera Elsa , Cornejo Jorge , Russomano Thais , Cinelli Ilaria
Published: May 2024

Introduction

The idea of exploring space excites more than one person, and not only astronauts but health professionals are also not indifferent to it because for a long time, human healthcare in space has been a priority directly involving the nursing profession; however, there is not much information available on this subject that it’s becoming more relevant every day.

Objective

This study aims to explore, review, and analyze existing literature to identify the basic needs of astronauts, nursing roles, and the challenges they will face in the context of human space exploration.

Methods

A literature review was conducted with bibliographic evidence of documents annexed to the following databases: WoS, MEDLINE through PubMed, Scopus, SciELO, CINAHL-EBSCO and Google Scholar. Previously, a search strategy was designed with descriptors: “Astronauts,” “Space Flight,” and “Nursing in Care,” using Boolean operators “OR” and “AND”. The languages were English and Spanish, there were no restrictions on the type of document and date of publication.

Results

23 documents were selected after applying the inclusion and exclusion criteria. The following results found in the present review have been categorized into 8 thematic areas: historical background, conceptual models and nursing theories applied to space, space environment, physiological changes in space flights, health problems and risks in space, nursing care in space and management of nursing care in space. Finally, future challenges of space nursing. Each of these categories is presented below.

Conclusion

Space Nursing has been constantly developing and its interventions will be required along with the advances in space exploration. It encourages innovation, implementation, building a knowledge base, and discovering new modalities of human healthcare to reach the frontiers of space.
A New Model for Improving Quality of Hypertension’s Determinant Factors in Pregnancy
Authors: Sinambela Megawati , Dasman Hardisman , Yusrawati Yusrawati , Bachtiar Adang , Muchtar Masrul , Mudjiran Mudjiran , Malini Hema , Defrin Defrin
Published: May 2024

Background

Hypertension in pregnancy should be detected earlier to prevent possible complications of pregnancy such as preeclampsia. Pregnancy hypertension could transform into preeclampsia if unmonitored and untreated, it can even be bad for eclampsia.

Purpose

This research aims to identify the determinant factors of hypertension during pregnancy and to develop a suitable model to prevent hypertension in the future.

Methods

The research was developed using a mixed method with an embedded design approach. This study has adopted the ADDIE concept including Analysis, Design, Development, Implementation, and Evaluation steps. Purposive sampling based on knowledge proportion has designated 164 pregnant women as key participants. Qualitative analysis was applied through in-depth interviews. Quantitative analysis was conducted with SEM-PLS.

Results

The determinant variable components of late detection of hypertension in pregnancy are knowledge and understanding, self-efficacy, intentions, and attitudes of pregnant women. Other variables are also considered as psychosocial support of husband/family and midwives, antenatal care, and service facilities.

Conclusion

The data shows that the MEGA model is proven to be effective in evaluating the determinant factors of hypertension in pregnancy.
The Six Guiding Principles of Trauma-Informed Care
Authors: Stephany Kathleen
Published: May 2024

A principle-based approach to trauma-informed care is effective in
promoting healing and chapter two explores the crucial aspects of each of The Six
Guiding Principles of Trauma Informed Care as recommended by the Substance Abuse
and Mental Health Services Administration (SAMHSA). They consist of safety;
trustworthiness and transparency; peer support; collaboration and mutuality;
empowerment, voice, and choice; and cultural, historical, and gender issues. The
discussion begins by describing the physical, social, and psychological aspects of
safety. They include the location of the health facility, the atmosphere of the healthcare
clinic, staff attitudes, ensuring that health professionals are kept emotionally safe, and
avoiding re-traumatization. It is pointed out that people who have been intentionally
harmed by others do not easily trust. Therefore, trust must be earned through
compassionate connection, and by protecting a person’s privacy. Transparency is
highly recommended and occurs when a person is fully informed about all aspects of
the plan of care. Peer support is the help received from others who have lived through
similar experiences and facilitates healing. Collaboration and mutuality are suggested
to create a shared environment where there is an assumption that everyone, including
the client/patient, will be involved in decision-making. Empowerment, voice, and
choice when consistently applied foster an environment that utilizes a person’s
strengths to help them overcome adversity, gives them an opportunity to be listened to,
and to make their own choices. The power of empathy and other-focused listening, and
the importance of addressing cultural, historical, and gender issues are emphasized.
Poor health outcomes experienced by people of the LGBTQ2S community are highly
correlated with stigma. Nurses are identified as harbouring prejudicial attitudes toward
members of this population, and educational efforts are strongly suggested to change
these behaviours. Cultural humility is recommended as an effective way to counteract
racism and power difficulties through empowerment, excellence in care, and an
atmosphere of mutual respect. Self-awareness and self-reflection are recommended to
incorporate cultural humility into practice. Two Narrative Case Studies are reviewed.
The first one emphasizes the importance of safely conducting a client assessment, and
the second one explores how peer support helps a bereaved child. Participation in these
four learning activities is advised, strategies that enhance the environmental safety of a
healthcare facility; when breaching confidentiality is necessary; situations that promote
or impede trust; and actively communicating other-focused listening. The Chapter ends
with a self-care strategy that encourages nurses to participate in mindfulness techniques
to enhance the overall well-being.
Trauma-informed Care for Nursing Education: Fostering a Caring Pedagogy, Resilience & Psychological Safety
Authors: Stephany Kathleen
Published: May 2024

Trauma-informed care is designed to assist persons who have experienced adversity and focuses on change at the clinical and organizational level. Its goals center around prevention, intervention, and treatments that are evidence-based, encourage resilience, and enhance coping.

This textbook is designed to give a comprehensive overview of trauma-informed care to students and faculty involved in nursing care programs.

Key features:

Explains the skill sets to assess and care for persons who have experienced trauma.

Emphasizes key principles of trauma-informed care

Includes the use of client-centered, person-centered, and resilience-based tools to deal with trauma

Recommends trauma recovery from a positive psychology and post-traumatic growth perspective

Utilizes a caring pedagogy intended to foster resilience and help offset the secondary traumatic stress and compassion fatigue experienced by student and practicing nurses.

Communicates the value of fostering psychological safety, compassion satisfaction, and joy in work

Includes narrative case studies and learning activities in all chapters to help the reader to actively engage with the subject matter.

Presents self-care strategies to enhance physical and emotional well-being.
Digital Transformation in the Education Sector: Benefits and Challenges
Authors: Khalid Abdul-Mumin , Owusu-Boateng Obeng
Published: May 2024

Students, staff members, and other stakeholders’ demands are all shifting
rapidly due to advances in electronic technology as well as information analytics. Many
of the executives of today are neither tech-savvy nor digital natives, yet they
nonetheless recognize the importance of technology in maintaining a competitive edge
and fuelling expansion. The study identified many benefits, including facilitating
learning and boosting classroom efficiency, facilitating the monitoring of student
achievement and growth in the classroom, helping students and teachers work together
better, providing unique educational opportunities, increasing efficiency in the
classroom and monitoring academic progress. The chapter also identified the following
challenges of using DT in the education sector: ineffective digital fixes, uneven
availability, developing bad study routines, possible inaccuracies and inability to
express oneself. The DT revolution may present some difficulties for institutions, but it
is ultimately beneficial to the industry as a whole. It can play a huge role in inspiring
both students and educators to adopt cutting-edge methods and outlooks.
PENGEMBANGAN MEDIA BERBANTUAN ADOBE PREMIERE PRO DALAM PEMBELAJARAN TEKS PUISI PADA PESERTA DIDIK KELAS X SMA
Authors:   Universitas Ahmad Dahlan, Aziz Muhammad Nur , Hermanto Hermanto , Himawan Riswanda
Published: May 2024

Technological developments are very rapid, demanding all aspects of life to move forward, according to these technological developments. One aspect that is demanded is education. Learning media as an alternative intermediary for materials taught by teachers to students at this time must prioritize technology in each learning media used. In line with this description, this study will try to develop an ADOBE Premier-based learning media in the subject of poetry texts. The method used in this study is Research and Development (R&D) with the ADDIE model. The ADDIE model is used as a procedure in developing products. Data collection techniques using interviews and questionnaires. Interviews and questionnaires are used as instruments to find out the results of the needs analysis, aspects of the feasibility of the product being developed, and student responses related to the product being developed. In the final stage, a student response test was carried out to determine product quality. The results showed that this research succeeded in developing a product with a very feasible category with a feasibility score of 88.265. The final product review shows that this product is ready and suitable for use.