bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting The Stock Closing Price of ISX-Listed Companies Using LSTM
Authors: Al-Hassnawi Salim Sallal , Al-Hchemi Laith Haleem Malik
Published: February 2023

Financial markets are highly reactive to events and situations, as seen by the very volatile movement of stock values. As a result, investors are having difficulties guessing prices and making investment decisions, especially when statistical techniques have failed to model historical prices. This paper aims to propose an RNNs-based predictive model using the LSTM model for predicting the closing price of four stocks listed on the Iraq Stock Exchange (ISX). The data used are historical closing prices provided by ISX for the period from 2/1/2019 to 24/12/2020. Several attempts were conducted to improve models training and minimize the prediction error, as models were evaluated using MSE, RMSE, and R2. The models performed high accuracy in predicting closing price movement, despite the Intense volatility of time series. The empirical study concluded the possibility of relying on the RNN-LSTM model in predicting close prices at the ISX as well as decisions making upon.
Pengembangan Manajemen Sumber Daya Manusia Berbasis PMBOK Untuk Meningkatkan Produktivitas Pada PT. AB
Authors: Fertilia Novika Candra , Adji Raden Yudityo Afri
Published: February 2023

Manajemen sumber daya manusia sangat mempengaruhi produktivitas (Bloom, N., & Van Reenen, J., 2011). Pengaruh tersebut dapat bersumber dari skill pekerja, attitudes, dan behavior (Katou, A.A., & Budhwar, P., 2015). Penerapan manajemen sumber daya manusia merupakan satu kesatuan dalam menentukan strategi yang kompetitiv (Neal, A., West, M.A., & Patterson, M.G., 2005). Penerapan manajemen sumber daya manusia secara sistematis dapat meningkatkan produktivitas sebesar 3.27% dari total produksi (Katou, A.A., & Budhwar, P., 2015). Sehingga, manajemen sumber daya manusia merupakan aspek yang sangat penting dalam banyak sector (Eze, M.O., 2018). PT. AB merupakan perusahaan yang bergerak pada sector fabrikasi precast yang cukup terkemuka di Indonesia. Namun, dalam rangka memenuhi pasokan kebutuhan precast, produktivitas di PT. AB tidak sesuai dengan jumlah yang telah ditargetkan, terutama pada produksi precast spun pile. Oleh karena itu, penelitian ini bertujuan untuk megetahui risiko yang berpengaruh tinggi terhadap perencanaan manajemen sumber daya manusia dan mengembangkan strategi di PT. AB. Pada penelitian ini, penilaian risiko dan pengembangan perencanaan manajemen manajemen sumber daya manusia dilakukan dengan berbasis PMBOK.
Examining The Effect of Theory of Planned Behavior on Individual Investment Intention in The Indonesia Stock Exchange, Moderated by Herding Behavior and Risk Propensity
Authors: Bertuah Eka , Oppusunggu Hotman Dufeb Halomoan
Published: February 2023

There are several products or instruments traded on the Indonesia Stock Exchange, that is Stocks, Bonds, Mutual Funds, Exchange Traded Funds (ETFs), and Derivatives, with stocks being the most popular instrument right now. The benefits of the existence of the capital market for investors are that it provides an opportunity for the public to have a healthy company that has good prospects in the future, and is an alternative investment beside gold and properties that provides potential profits with calculated risks (Kurniawan, 2019).Objectives: This study aims to determine the effect of the construct variable of the Theory of Planned Behavior on Investment Intention, and the role of Investment Intention as a mediating variable that connects these variables after being moderated by Risk Propensity and Herding Behavior on Investment Behavior of individual investors in IndonesiaMethodology: This study uses primary data which data was collected by distributing online questionnaires via google form.  This research was conducted from January to March 2022, from a sample of individual investors from some big islands in Indonesia (Java, North Sumatra, South Sulawesi, Kalimantan). To determine the sample, this study uses the Slovin formula with probability sampling technique - simple random and a total of 525 respondents were collected, but those who met the predetermined sample criteria were 468 respondents. The data analysis that is used is the path analysis Structural Equation Model (SEM).Finding: Herding behavior and Risk Propensity do not strengthen Investment Intention among individual investors towards Investment Behavior and can be a subject for further study.Conclusion: The results of this study is only that Product Involvement of Theory of Planned Behavior variables can positively influence Investment Intention. Furthermore, Investment Intention can mediate this variable on Investment Behavior, although not strengthened by the influence of Risk Propensity and Herding Behavior
Trust is felt to be a Good Trigger in Marketing and Green Products in Generating Purchase Interest
Authors: Rasmen Adi I Nyoman , Mulyadi Made , Wirsa I Nengah , Astawa I Nengah Dasi , Setini Made
Published: February 2023

Objective: This research was conducted with the aim of knowing the mediating role of trust in green products regarding the relationship between green product marketing awareness and product innovation on the purchase intention of environmentally friendly products.Methodology: This research is a quantitative research with the object of research are informants who already know as recycled fashion products, environmentally friendly drinking places, tissues, food containers and obtained 300 population data from distributing this questionnaire. The research instrument was distributed using a Google form. Using random sampling technique obtained 100 participants who already represent the representativeness of the data, analyzed by structural equation analysis (SEM) using the Smart PLS applicationResults: The findings of the study indicate that a direct relationship between green marketing awareness and product innovation has a positive influence on product purchase intentions. The direct relationship of trust felt by consumers has a positive influence on product purchase intentions. Mediating role Trust in products is able to mediate in awareness of green product marketing and product innovation on product purchase intentions. This means that the trust of customers must always be maintained in terms of the marketing we do and the products provided.  Conclusion: Customers' trust in products that care about the environment that does not damage the environment is realized by a green marketing system so that this becomes a driving force for customers' buying intentions.
The Effect of Learning Organization, Work Engagement, Work Motivation, and Work Stress on Innovative Work Behavior: Work Motivation and Work Stress as Mediation and Moderation
Authors: Rajak Adnan , Soleman Rusman
Published: February 2023

Objective: This study uses a quantitative approach or post-positivism, which is looking at the influence between variables. Therefore, the main problems in this study are: Does learning organization, work engagement, work motivation, and work stress affect innovative work behavior, how is the learning organization, and work stress on work engagement, how learning organization affects work motivation, how work motivation and work engagement mediate the relationship between learning organization and Innovative Work Behavior, and the relationship between work stress and Innovative Work Behavior, and how work engagement moderates the relationship between work engagement and Innovative Work Behavior and the relationship between learning organization and Innovative Work Behavior. Methodology: The analytical model used are Structural Equation Modeling and SMART PLS (Partial Least Square) as tools for the statistical test. Data collection tools used are questionnaires and interviews, and the number of respondents was 84 civil servants. Finding: Based on the results of hypothesis testing using Smart PLS, it shows that, H1, H2, H4, and H6 are acceptable, because the t table value is greater than the calculated t value, or has an alpha (α) value smaller than 5%. Whereas   H3, H5, and H7 cannot be accepted (rejected), because the value is greater than 5%.Conclusion: The results showed that: (1) Learning organization had a positive and significant effect on Innovative Work Behavior, and work motivation but had no effect on work engagement, (2) Work engagement has an effect on Innovative Work Behavior), (3) Work motivation has no effect on Innovative Work Behavior, (4) Work stress has a positive and significant effect on Innovative Work Behavior but has no effect on work engagement, (5) Work motivation fully mediates the relationship between learning organization and Innovative Work Behavior, (6) Work engagement fully mediates the relationship/influence of learning organization and work stress on Innovative Work Behavior, and (7) Work motivation does not moderate the relationship or influence of learning organization and work engagement on Innovative Work Behavior.
Importance of Work Motivation and the Culture of the Company to Improve Organizational Citizenship Behavior
Authors: Hamzah Muh. Nasir , Nasir Munawir , Hamid Muliyadi , Mujahid Mujahid
Published: February 2023

Objectives: The research aims to find out if job motivation and organizational culture affect the development of organizational citizen behaviors (OCBs) through employee performance.Methodology: The research was conducted in one of Gorontalo Province’s, with a population of 2,262 employees, and questionnaires were distributed to 260 employees in various departments who volunteered to be respondents; sampling was based on Slovins Formula. Processing data with Structural Equation Model (SEM) and AMOS.Finding: The findings indicated that motivation affected employee performance, organizational culture did not affect performance, motivation had no effect on OCB, organizational culture had no effect on OCB, and employee performance had no effect on organizational culture's influence on OCB.Conclusion: These findings can be explained by the fact that the work incentive used thus far is intrinsic, providing encouragement and inspiration for all employees to improve performance. Organizational culture has not affected employee performance, indicating that the organizational culture employed thus far has been result-oriented and ineffectively applied.
The Effect of Competence: Intellectual, Emotional, and Social on Employee Performance with Adaptability as a Mediation Variable
Authors: Sabuhari Rahmat , Adam Mukhtar A. , Soleman Marwan Man , W. Jabid Abdullah
Published: February 2023

During the Covid-19 outbreak, the courier service industry played a critical role. In the face of this pandemic, businesses require personnel who are capable of surviving.Objectives: The goal of this study is to look at the direct impact of intellectual, emotional, social, and adaptability on employee performance, as well as the indirect impact of intellectual, emotional, and social competence on employee performance via adaptability.Methodology: This study adopts a quantitative methodology, data collection through a questionnaire, and obtained responses respondents (n = 98) from 113 respondents who have work experience in their field. The measurement model and hypothesis testing were carried out using the SmartPLS software.Finding: The results revealed that social competence and job satisfaction had a favorable and significant influence on employee performance, but intellectual and emotional competence had no such effect.Conclusion: The effect of social competence on employee performance might be mitigated through adaptability. Social competence and adaptability are important factors in boosting employee effectiveness. Further research can improve the research model and produce a broader research object so that it can assess intellectual and emotional competency so it is significant to employee performance.
Factors that Affect Perceived Value and Its Impact on the Value of Enrolling in Private Universities in Indonesia during the Pandemic
Authors: Achmadi Hendra , Sutawidjaya Ahmad Hidayat
Published: February 2023

Objectives: This study was conducted to determine the factors that affect the perceived value and its impact on the value of enrolling in private universities in Indonesia during the pandemic.Methodology: The population in this study is high school students in grades 11 and 12 for the period from January to February 2022. The respondents are obtained using non-probabilistic with confidence sampling through google form questionnaire distribution, with 216 respondents to be analyzed using structural equation analysis (SEM) by Smart PLS application.Finding: The first finding is that negative emotion had an effect on the intention to enroll, the second finding was in research on the factors that influence online learning in university students. self-efficacy indicators play an important role in the successful online learning program, The third finding in this research is that e-service quality has more influence on functional value. The biggest influence on the Intention to Enroll is the epistemic value with the second being online learning, and the last one is the emotional value.Conclusion: In this pandemic period, universities must continue to improve epistemic values or values related to the quality of learning to be able to compete with other universities.
A Literature Review of Green Human Resource Management for Gaining a Competitive Advantage
Authors: Oscar Ong Johan , Djamil Masydzulhak , Ariyanto Enny , Sugiyono Sugiyono
Published: February 2023

Green human resource management (GHRM) plays an important role in organizations’ sustainable development strategies. However, there is still a research gap on the integration of available GHRM-related knowledge to gain a competitive advantage. Objectives: Thus, the purpose of this paper is to conduct a literature review on GHRM aimed at proposing detailed research on those gaps in order to gain competitive advantages for future studies. Methodology: First, this work applies the keyword GHRM and "competitive advantage" for articles above the year 2017 and selects articles indexed in Scopus only. We have conducted a preselect process to figure out the appropriate articles related to GHRM and competitive advantage. We have also selected and reviewed 18 articles discussing the relationship between GHRM and competitive advantage.Finding: Last, the study addresses research gaps and proposes a research framework for further studies.Conclusion: Analysis of the relevant literature is presented in descriptive analysis and a research framework that focuses on GHRM for a future research agenda. This review is important for researchers in GHRM to identify research gaps for competitive advantage. It is suggested that mediating variables, such as organizational citizenship behavior for the environment and environmental performance, have to be included in GHRM's future research to gain a competitive advantage.
Analysis of Knowledge Sharing Determinants and Their Impact on Sustainability Organization Performance in Private Universities
Authors: Saragih Lisnatiawati , Hermanto Djamarel
Published: February 2023

Objectives: The main objective of business is the achievement of sustainable organizational performance, including higher education. But in the process, many obstacles are faced by an organization. Sharing knowledge is a way to help employees in solving problems faced in the world of work. This study examines the mediating role of knowledge sharing to mediate the influence between academic culture and professional competence on sustainable organizational performance.Methodology: The data in this study were obtained by distributing questionnaires to 380 respondents, the data in this study was analyzed using the SEM-PLS approach to explore the consistency of the findings on the correlation between variables.Finding: The findings show that knowledge sharing is able to mediate the influence of the variables of academic culture and professional competence on sustainable organizational performanceConclusion: The results obtained are that knowledge sharing has a positive and significant effect on organizational sustainability performance, knowledge sharing is found to fully mediate the relationship between academic culture and organizational sustainability performance, and knowledge sharing is found to partially mediate the relationship between professional competence and organizational sustainability performance.
Una aproximación al tema de emprendimiento de mujeres jóvenes en México
Authors: Paz-Calderón Yannet
Published: February 2023

El objetivo de esta investigación es poner énfasis en la importancia que tiene realizar investigaciones relacionadas con el emprendimiento de mujeres jóvenes, ya que hasta el momento este tipo de estudios es escaso y los que hay hacen referencia a las mujeres jóvenes emprendedoras universitarias. A través de una investigación bibliográfica, descriptiva y exploratoria, se muestran los antecedentes teóricos que hay sobre el emprendimiento femenino. Después se realiza una revisión de los trabajos relacionados con el emprendimiento de jóvenes universitarias, por último, se presenta dos experiencias de emprendimiento de mujeres jóvenes con el propósito de ejemplificar las diversas aristas que tiene este tema. El hilo conductor, tanto en la revisión documental como en el análisis de las experiencias, fue identificar las motivaciones y los obstáculos que ellas tienen para emprender. Dentro de los principales resultados destaca la pertinencia de indagar sobre el tema de emprendimiento femenino juvenil, debido a que al ser una línea poco investigada no se puede ver con claridad las particularidades que motivan y obstaculizan la intención emprendedora de las mujeres en esta etapa de la vida. Se concluye que el impulso al emprendimiento debe hacerse con un enfoque de género y desde la juventud.
Hyperbaric oxygen mitigates KIM-1 and inflammatory cytokine levels in kidney transplantation
Authors:   İzmir Democracy University, Faculty of Medicine, Department of Histology and Embryology, İzmir, Turkey, Büyük Başak , Öztopuz Özlem ,   Çanakkale Onsekiz Mart University, Faculty of Medicine, Department of Biophysics, Çanakkale, Turkey
Published: February 2023

The aim of this study was to investigate the effect of hyperbaric oxygen (HBO2) administration applied during cold ischemic time to organs removed from donors before kidney transplantation. A total of 24 rats were divided into three groups: Group 1 was the control group, Group 2 received 60 minutes of HBO2 at 2.5 atmospheres absolute, and Group 3 received 120 minutes of 2.5 ATA HBO2. The renal artery was entered with a polyethylene catheter and perfused with a standard organ preservation solution. Falcon tubes containing organs obtained from rats in Groups 2 and 3 were placed in a box supported by ice blocks. The temperature was kept constant at 4 °C and the box was placed in a pressure tank with 2.5 ATA HBO2. HBO2 was applied for 60 and 120 minutes, respectively. Organ samples were harvested at the end of 24 hours for histopathological evaluation, immunohistochemical analysis of TNF-α and IL-18, TUNEL analysis for apoptosis, and gene expression levels of kidney injury molecule-1 (KIM-1) and caspase-3. In histopathological examinations, hematoxylin and eosin staining was performed and samples were evaluated for tubular necrosis and vacuolization criteria. Group 2 and Group 3 had significant decreases compared to Group 1 in this regard. Immunohistochemical staining was performed for TNF-α, IL-18, and apoptosis levels; significant decreases were found in Groups 2 and 3. There were significant decreases in Groups 2 and 3 for KIM-1 and caspase-3 gene expression levels compared to Group 1, as well. Thus, it was demonstrated that during the cold ischemic period before kidney transplantation, HBO2 administration to organs removed from donors can reduce apoptotic cell numbers, inflammatory cytokine release, and histopathological damage to the organs as well as decreasing the expression of the KIM-1 gene, which is an indicator of kidney damage.
Effects of hyperbaric oxygen therapy on clinical and economic outcomes in patients with deep second-degree burns
Authors:   Eskişehir Osmangazi University, Department of Gastroenterological Surgery, Eskişehir, Turkey, Özdemir Ümit , Akin Merve ,   Ankara City Hospital, Department of General Surgery, Ankara, Turkey, Sözen İsa ,   Süleyman Demirel University, Department of General Surgery, Isparata, Turkey, Erkent Murathan Erkent ,   Baskent University, School Of Medicine, Department of General Surgery, Ankara, Turkey, Tatar Selçuk ,   Ankara Gaziler Physical Therapy and Rehabilitation Education and Research Hospital, Underwater Medicine and Hyperbaric Medicine, Yasti Ahmet Çinar ,   Health Sciences University, Department of General Surgery, Ankara City Hospital, Burn Treatment Center
Published: February 2023

Introduction: Deep second-degree burn injuries are the most challenging situations for the burn surgeon in the treatment of adult cases. While waiting for spontaneous closure increases the risk of hypertrophic scar and keloid, early excision and grafting pose the risk of donor site wound and permanent color differences. Unlike many studies in the literature, the current study was planned in a way to minimize factors other than burn wounds to investigate the effect of adding hyperbaric oxygen (HBO2) therapy to conventional treatment in deep second-degree burn wounds. Material and Method: This prospective observational study included patients with burn injuries who underwent conventional treatment alone and those who underwent conventional plus HBO2 treatment performed by a single experienced surgeon and who met the study criteria. Results: Thirty-eight patients completed the study. Mean burned total body surface area (TBSA) was. 9.22 Å}3 43% (range 5% to 20%). There was no difference between the two groups in terms of age, burned TBSA, and burn etiology. The need for surgery and grafting was lower in patients who received HBO2 in addition to conventional treatment (p=0.003 and p=0.03, respectively). The patients in the HBO2 group had a shorter hospital stay, and their wounds epithelialized in a shorter time (p=0.169 and p<0.001, respectively). They also had a higher satisfaction level and lower treatment cost (p=0.03 and p=0.36, respectively). Discussion: The results of this prospective study, in which co-factors were eliminated, showed that adding HBO2 to the conventional treatment of deep second-degree burns had a significant positive effect on patient outcomes, as well as reducing treatment costs.
The effects of hyperbaric oxygen on MRI findings in rheumatoid arthritis: A pilot study
Authors:   David Grant USAF Medical Center, Travis AFB, California US, Dulberger Adam , Slade John B. ,   David Grant USAF Medical Center, Travis AFB, California US, Thornton Jennifer A. ,   David Grant USAF Medical Center, Travis AFB, California US, McNeary-Garvin Antoinette ,   David Grant USAF Medical Center, Travis AFB, California US, Kelly Jason A. ,   David Grant USAF Medical Center, Travis AFB, California US, Edmonds Lance ,   David Grant USAF Medical Center, Travis AFB, California US
Published: February 2023

Background: Rheumatoid arthritis is a debilitating and destructive disease for which limited therapeutic options exist. Objective: This report summarizes serial magnetic resonance imaging (MRI) findings from nine study participants treated with hyperbaric oxygen (HBO2) therapy and expands upon an earlier pilot study that showed improvement in disease activity and joint pain as determined by multiple, validated clinical measures. Methods: Rheumatoid arthritis patients received 30 hyperbaric oxygen treatments over six to 10 weeks. MRI with and without contrast was completed at baseline, and at three- and six-month intervals following initiation of HBO2 therapy. Ratings were based on Outcome Measures in Rheumatology Clinical Trials (OMERACT) Rheumatoid Arthritis Magnetic Resonance Imaging Score (RAMRIS) criteria, the standard method for quantification of inflammation and damage by MRI in RA trials. Results: Using RAMRIS criteria, nine of nine patients demonstrated no radiologic progression of erosions, synovitis, or bone marrow edema at three- and six-month scans. Conclusion: Our findings suggest that HBO2 therapy may be useful as an adjunctive or alternative treatment to disease-modifying drugs for rheumatoid arthritis.
Cardiac arrest in diving: The key to success
Authors:   Institute of Naval Medicine, Gosport, Hampshire, UK, Hughes Henry James Jonathon , McPhail Stuart ,   University Hospitals Plymouth, Plymouth, Devon, UK, Wilson Nathan ,   Institute of Naval Medicine, Gosport, Hampshire, UK, Osborne Matthew ,   Institute of Naval Medicine, Gosport, Hampshire, UK
Published: February 2023

This case report describes the successful management of an out-of-hospital arrest in a diver following a suspected arterial gas embolism (AGE). It illustrates both the inherent risks of diving and the importance of prompt and effective implementation of the “chain of survival” from bystanders. Rapid on-scene responses from paramedics and helicopter emergency medical services facilitated prompt evacuation to a Category 1 (multiplace) recompression chamber (RCC) where specialists in cardiology and hyperbaric medicine were available. Alternative causes of cardiac arrest were considered, with a presumed AGE successfully treated with multiple rounds of hyperbaric oxygen therapy. The key factors which led to this successful outcome are discussed, including early recognition and call for help, competent cardiopulmonary resuscitation, and direct evacuation to a Category 1 RCC, with additional consideration of the diagnosis leading to cardiac arrest. The case clearly illustrates the need for all those involved in diving regularly to be competent and confident in performing basic life support, as well as the awareness of the emergency services of the need for diving casualties to be treated at appropriate hyperbaric facilities. Were it not for the simple, prompt and effective treatment this diver received, both on scene and in hospital, it is highly unlikely that such a positive outcome would have been achieved.
An Encoder-Decoder Model with Interpretable Spatio-Temporal Component for Soil Temperature Prediction
Authors: yuheng Zhu , Li Xiaoning , Zhao Hongwei , Zhu Jinlong , Li Qingliang
Published: February 2023

Soil temperature (ST) is a crucial land-surface parameter and accurate,
interpretable ST predictions are essential for Earth system science
applications. While deep learning methods have shown excellent
performance in ST prediction, they are often referred to as “black box
optimizers”, making it difficult to extract physical knowledge and gain
interpretability. To address this issue, we developed the
Encoder-Decoder Model with Interpretable Spatial-Temporal Component
(ISDNM) to improve predictive accuracy and provide spatial-temporal
interpretation of ST. The ISDNM model combines a CNN-encoder-decoder and
LSTM-encoder-decoder to enhance the representation of spatial-temporal
features and applies linear regression and UMAP to provide interpretable
spatial-temporal insights into ST. The ISDNM outperforms traditional
deep learning models such as Convolutional Neural Network, Long
Short-term Memory, and Convolutional LSTM, making it a valuable tool to
improve our understanding of ST’s spatiotemporal characteristics.
Predictive Learning of Error Recovery with a Sensorised Passivity-based Soft Anthropomorphic Hand
Authors: Gilday Kieran , Thuruthel Thomas George , Iida Fumiya
Published: February 2023

Manipulation strategies based on the passive dynamics of soft-bodied interactions provide robust performances with limited sensory information. They utilise the kinematic structure and passive dynamics of the body to adapt to objects of varying shapes and properties. However, these soft passive interactions make the state of the robotic device influenced by the environment, making control generation and state estimation difficult. This work presents a closed-loop framework for dynamic interaction-based grasping that relies on two novelties: (i) a wrist-driven passive soft anthropomorphic hand that can generate robust grasp strategies using one-step kinaesthetic teaching and (ii) a learning-based perception system that uses temporal data from sparse tactile sensors to predict and adapt to failures before it happens. With the anthropomorphic soft design and wrist-driven control, we show that controllers can be generated robust to novel objects and location uncertainty. With the learning-based high-level perception system and 32 sensing receptors, we show that failures can be predicted in advance, further improving the robustness of the entire system by more than doubling the grasping success rate. From over 1000 real-world grasping trials, both the control and perception framework are also seen to be transferable to novel objects and conditions.

Corresponding author(s) Email:   fi224@cam.ac.uk
The Transient Measurements by Voltage Transformer (VT) Based on Non-linear Model
Authors: Mu Zhou , Jiang Yuhan , Pan Fei , Wang Tongtong , Xie Shijun , Jiang Bo , Cheng Ming , Zhang Yu , Zhang Chenmeng
Published: February 2023

Transient measurement is expected to be widely required in the future
power system. One of the the most cost-effective ways to widely equip
the power system with the transient measurements is to upgrade current
voltage transformers to be enabled with transient measuring ability.
This paper presents a algorithm-based technique involving the non-linear
features of VT to enable CVT and PT with a wideband transient voltage
measuring ability, including the methods of building the non-linear
transient model and inverse calculation method based on the output
voltage to recover the input voltage waveform. In this paper, the method
of synthesizing the equivalent circuit model for a PT or a CVT is
presented in detailed. Meanwhile, the inverse calculation method based
on circuit theories and Bergeron equivalence as well as NR equivalence
is also presented. The verification experiments were performed on a
110kV CVT and 10kV PT with the lightning impulses as the verification
source. The experimental results show a good match to the input waveform
recorded by standard divider.
Research progress on acute lung injury inflammatory network
Authors: Li Yaru , Jiang Yanan , Zhang Hui , Zhang Juan , Ma Junbing , Qiu Min , Yang Zheng
Published: February 2023

Acute lung injury is a systemic inflammatory response syndrome in the
lungs, with a high incidence and fatality rate of 30%–40%. Despite
the abundance of research on the pathogenesis of lung injury and the
great progress that has been achieved, the various number of cells,
cytokines and inflammatory response pathways involved in the
pathogenesis of acute lung injury (ALI) and their complex relationships,
which together constitute the cell network and inflammatory factor
network of ALI inflammatory response, demand more attention. This study
reviews the formation of this network in the pathogenesis of acute lung
injury
Less is More in Atrial Fibrillation Ablation Trends: Fewer Repeats, Shorter Procedures, and More Patients.
Authors: Koplan Bruce
Published: February 2023

In this issue of the Journal, Kushnir, et al. provide a report of
temporal trends in first time ablation at a large academic medical
center over a 10 year period. This editorial provides commentary on the
report.
Discontinuous Igneous Addition along the Eastern North American Margin beneath the East Coast Magnetic Anomaly
Authors: Brandl Collin , Worthington Lindsay L. , Magnani Maria Beatrice , Shillington Donna , Luckie Thomas W
Published: February 2023

Detailed models of crustal structure at volcanic passive margins offer
insight into the role of magmatism and distribution of igneous addition
during continental rifting. The Eastern North American Margin (ENAM) is
a volcanic passive margin that formed during the breakup of Pangea
~200 Myr ago. The offshore, margin-parallel East Coast
Magnetic Anomaly (ECMA) is thought to mark the locus of synrift
magmatism. Previous widely spaced margin-perpendicular studies
seismically imaged igneous addition as seaward dipping reflectors (SDRs)
and high velocity lower crust (HVLC; >7.2 km/s) beneath the
ECMA. Along-strike imaging is necessary to more accurately determine the
distribution and volume of igneous addition during continental breakup.
We use wide-angle, marine active-source seismic data from the 2014-2015
ENAM Community Seismic Experiment to determine crustal structure beneath
a ~370-km-long section of the ECMA. P-wave velocity
models based on data from short-period ocean bottom seismometers reveal
a ~21-km-thick crust with laterally variable lower crust
velocities ranging from 6.9 to 7.5 km/s. Sections with HVLC alternate
with two ~30-km-wide areas where the velocities do not
exceed 7.0 km/s. This variable structure indicates that HVLC is
discontinuous along the margin. Velocity-thickness analysis indicates
that the HVLC discontinuity is the result of variable intrusion
along-strike. Our results suggest that magmatism during early rifting
was segmented and was lower in volume than previously thought. The HVLC
discontinuities roughly align with locations of Mid-Atlantic Ridge
fracture zones, which may indicate that early rift segmentation
influenced later segmentation of the Mid-Atlantic Ridge.
Atmospheric Sea Spray Modeling in the North-East Atlantic Ocean using Tunnel-Derived Generation Functions and the SUMOS Cruise Dataset
Authors: Bruch WIlliam , Bruch W , Yohia C , Tulet P , Limoges A , Sutherland P , Eijk A M J van , Missamou T , Piazzola J
Published: February 2023

This study contributes to the communal effort to improve understanding
of sea spray generation and transport. For the first time,
laboratory-derived sea spray generation functions (SSGFs) are
parameterized in the Meso-NH mesoscale atmospheric model and are field
tested. Formulated from the MATE19 laboratory experiments (Bruch et al.,
2021) two SSGFs are driven by the upwind component of the wave-slope
variance S2x (herein B21A), or both S2x and the wind friction velocity
cubed u3* (herein B21B). As part of our first attempt to incorporate the
SSGFs in Meso-NH, the simulations are run without a wave model, and the
wave-wind SSGFs are assumed wind-dependent. Model evaluation is achieved
with sea spray and meteorological measurements acquired over the
0.1-22.75 µm radius range and 1-20 m s-1 U10 wind speeds, 15 meters
above the sea surface onboard R/V Atalante during the 25 day SUMOS field
campaign in the Bay of Biscay. The B21B SSGF offers particularly good
sensitivity to a wide range of environmental conditions over the size
range, with an average overestimation by a factor 1.5 compared with
measurements, well below the deviations reported elsewhere. B21A also
performs well for larger droplets at wind speeds above 15 m s-1.
Associated with airflow separation and wave breaking, the wave-slope
variance proves to be a key parameter for the scaling of sea spray
generation. Using model outputs obtained with B21B, sea spray can be
found far beyond the marine atmospheric boundary layer, with large
plumes reaching 100 km inland and altitudes of 2.5 km.

Plain Language Summary

The effects of sea spray on weather and climate remain poorly understood
as a result of sparse measurements and large uncertainties in the
generation flux. With the aim of improving sea spray transport in
atmospheric models, two sea spray generation functions derived from the
MATE19 laboratory campaign are parameterized in the Meso-NH mesoscale
atmospheric model. The simulations are run over the Bay of Biscay in
February-March 2021, and are compared with sea spray concentrations
measured during the SUMOS field campaign. Results show that the
laboratory-derived generation functions allow accurate predictions of
sea spray concentrations. Furthermore, simulations show that sea spray
droplets can be transported far over land, and high into the atmosphere.
Rapid basal channel growth beneath Greenland's longest floating ice shelf
Authors: Narkevic Ash , Csatho Beata , Schenk Anton
Published: February 2023

Nioghalvfjerdsfjorden Glacier (N79) is one of the two main outlets for
Greenland’s largest ice stream, the Northeast Greenland Ice Stream
(NEGIS), and is the more stable of the two, with no calving front
retreat expected in the near future. Using a novel elevation
reconstruction approach combining digital elevation models (DEMs) and
laser altimetry, previously undetected local phenomena are identified
complicating this assessment. N79 is found to have a complex network of
basal channels that were largely stable between 1978 and 2012. Since
then, an along-flow central basal channel has been growing rapidly,
likely due to increased runoff and ocean temperatures, and possibly
threatening to decouple the glacier’s northwestern and southeastern
halves.
Organized Trade Cumulus Clouds Suppressed by Climate Change
Authors: Kazil Jan , Narenpitak Pornampai , Yamaguchi Takanobu , Feingold Graham
Published: February 2023

We present a first study showing that organization of trade cumulus (Tc)
clouds can significantly enhance Tc response to climate change. Among
four recently identified states of Tc organization, the “Flower” state
has the highest and the “Sugar” state the lowest cloud fraction and
cloud radiative effect. Using large-eddy simulations, we show that the
organized “Flower” Tc state is strongly suppressed at the end of the
21st century, unlike the less organized “Sugar” Tc state and Tc
studied previously. The primary cause of the suppression is down-welling
long-wave radiation from increased greenhouse gas concentrations, which
weakens the mesoscale circulation that organizes clouds into the
“Flower” Tc state. The cumulus-valve mechanism, which is thought to
limit Tc response to climate change, does not prevent this response. Our
work unravels an unrecognized role of cloud organization in the cloud
response to climate change.
Fuzzy-based real-coded genetic algorithm for optimizing non-convex environmental economic loss dispatch
Authors: Parihar Shradha , Malik Nitin
Published: February 2023

A non-convex Environmental Economic Loss Dispatch (NCEELD) is a constrained multi-objective optimization problem that has been solved for assigning generation cost to all the generators of the power network with equality and inequality constraints. The objectives considered for simultaneous optimization are emission, economic load and network loss dispatch. The valve-point loading, prohibiting operating zones and ramp rate limit issues have also been taken into consideration in the generator fuel cost. The tri-objective problem is transformed into a single objective function via the price penalty factor. The NCEELD problem is simultaneously optimized using a fuzzy based real-coded genetic algorithm (GA). The proposed technique determines the best solution from a Pareto optimal solution set based on the highest rank. The efficacy of the projected method has been demonstrated on the IEEE 30-bus network with three and six generating units. The attained results are compared to existing results and found superior in terms of finding the best-compromise solution over other existing methods such as GA, particle swarm optimization, flower pollination algorithm, biogeography-based optimization and differential evolution. The statistical analysis has also been carried out for convex multi-objective problem.
Green computing for iot - software approach
Authors: Turkmanovic Haris , Popovic Ivan , Drajic Dejan , Cica Zoran
Published: February 2023

More efficient usage of limited energy resources on embedded platforms, found
in various IoT applications, is identified as a universal challenge in
designing such devices and systems. Although many power management
techniques for control and optimization of device power consumption have
been introduced at the hardware and software level, only few of them are
addressing device operation at the application level. In this paper, a
software engineering approach for managing the operation of IoT edge devices
is presented. This approach involves a set of the application-level software
parameters that affect consumption of the IoT device and its real-time
behavior. To investigate and illustrate the impact of the introduced
parameters on the device performance and its energy footprint, we utilize a
custom-built simulation environment. The simulation results obtained from
analyzing simplified data producer-consumer configuration of IoT edge tier,
under push-based communication model, confirm that careful tuning of the
identified set of parameters can lead to more energy efficient IoT
end-device operation.
Chaotic seismic signal modeling based on noise and earthquake anomaly detection
Authors: Dehbozorgi Leila , Akbari-Hasanjani Reza , Sabbaghi-Nadooshan Reza
Published: February 2023

Since ancient times, people have tried to predict earthquakes using simple perceptions such as animal behavior. The prediction of the time and strength of an earthquake is of primary concern. In this study chaotic signal modeling is used based on noise and detecting anomalies before an earthquake using artificial neural networks (ANNs). Artificial neural networks are efficient tools for solving complex problems such as prediction and identification. In this study, the effective features of chaotic signal model is obtained considering noise and detection of anomalies five minutes before an earthquake occurrence. Neuro-fuzzy classifier and MLP neural network approaches showed acceptable accuracy of 84.6491% and 82.8947%, respectively. Results demonstrate that the proposed method is an effective seismic signal model based on noise and anomaly detection before an earthquake.
Toward a cashless society: Cash and non-cash payments in Spain, 1989-2014
Authors: Maixé-Altés Carles , Mourelle Estefanía
Published: February 2023

This work investigates the relationships between the retail payment system, monetary aggregates and economic activity in Spain from a long-run perspective. This approach is considered from the perspective of the transformations favored by ICT in the payment system, which incorporates increasingly more and more cashless instruments. The methodology used is based on cointegration analysis and error correction models. Likewise, a new indicator of some trends in the implementation of cashless transactions in payment systems is proposed; this measure has been applied to Spain and other European countries. With respect to long-run relationships, we demonstrate the relevant (and direct) impact of changes in the monetary system and national income on the value of cashless transactions. Regarding the short-run, the most important relationships in terms of the value of cashless transactions are those related to the real estate sector. The empirical results evidence the intensive progress of the cashless society in Spain, where the banking sector, regulatory changes and ICT development have played a key role.
Residential satisfaction in large housing estates of Budapest: Is age really just a number?
Authors: Nzimande Ntombifuthi
Published: February 2023

With the surge in urban regeneration programs in housing estates in Hungary,
there is a need for residents? perceptions of these programs to be
understood. This is the first study to be conducted in Hungary and across
Central and Eastern Europe to compare residential satisfaction between
different age groups within the same city. Thus, this study aimed to
investigate whether residential satisfaction differs between the different
age groups in the regenerated housing estates in Budapest. The study
collected quantitative data from 217 residents living in housing estates
that had undergone urban regeneration in Budapest, Hungary. Residential
satisfaction was found to differ between age groups within the regenerated
housing estates in Budapest. Both the 36-55 and 56+ age group models
illustrated that the dwelling unit, housing condition, and housing support
satisfaction indices were significant predictors of residential
satisfaction. The first age group, 18-35, did not show the dwelling unit
satisfaction index to be a predictor, whereas the other two indices were
significant in predicting residential satisfaction in Budapest. Further
analysis found no correlation between the indices with regard to gender,
marital status, or length of residence. Thus, the study adds to the growing
corpus of literature on residential satisfaction, especially since most of
the extant research has been, up to now, conducted in Western Europe,
Africa, and Asia. Furthermore, this study can provide valuable insights for
urban planners, urban policymakers, and investors in amending current
housing policies and contributing to future housing-led regeneration
programs within Hungary.
Improved hydrogenerator field winding thermal monitoring
Authors: Klasnic Ilija , Dragosavac Jasna , Lazarevic Zoran
Published: February 2023

A new monitoring method for determination of average hydrogenerator field winding temperature is introduced in order to increase the robustness of the temperature measurement system using the classic U-I method. The classic approach is prone to error due to brush voltage drop, especially when field voltage is low. Developed thermal model is based on field current and cold cooling air temperature measurements, as well on temperatures acquired from digital temperature sensors mounted across the field winding. To monitor the rotor temperature for generators with brushless excitation where field voltage and current measurements are not accessible, a mathematical model was developed to estimate the average field winding temperature based on the existing temperature monitoring of the cooling medium and mounted sensors. Importance of the proposed approach arises from the foreseen widespread use of brushless generators in distributed generation. The developed models were compared and their sensitivity was examined thoroughly.
Allergic contact dermatitis of the mouse ear
Authors: Möller H
Published: February 2023

Allergic contact dermatitis to picryl chloride on the mouse ear was registered by measuring the increasing wet weight during the inflammatory reaction. This quantitative technique permitted the use of small experimental groups of regular laboratory mice. Full sensitization to picryl chloride is achieved as early as 3 days after a single painting with the hapten. The allergic reaction peaks at 24 h after challenge. Sensitization and challenge are not inhibited, whether by antihistamine, histamine liberator, or antiserotonin. The hypersensitivity state lasts at least 4 months.
Cell proliferation in lichen planus of the buccal mucosa
Authors: Maidhof R , Hornstein OP , Bauer G , Schönberger A , Bäurle G
Published: February 2023

Abstract not available
The protective role of epidermal melanin in a patient with porphyria variegata and vitiligo
Authors: Westerhof W , Bebelaar D , Cormane RH , Langelaar J , Hup JM
Published: February 2023

To assess the role of epidermal melanin in a patient with porphyria variegata and vitiligo, the MED was determined in pigmented and vitiliginous skin for wavelengths of 310, 405 and 500 nm. The energy required to elicit erythema by irradiating vitiliginous skin at 310 nm was half that for pigmented skin. For 405 nm the differences was 4-fold and at 500 nm 2-fold. A possible explanation for the different protection by melanin against light of 310, 405 and 500 nm is given. UV-B irradiation, as a potent stimulus for melanization of the skin, is proposed as an additive measure in the protection against photosensitivity reactions in porphyria patients.