bluuebunny/crossref_metadata_2025 huggingface dataset:
The Accuracy of Wrist-Worn Photoplethysmogram–Measured Heart and Respiratory Rates in Abdominal Surgery Patients: Observational Prospective Clinical Validation Study
Authors: van der Stam Jonna A , Mestrom Eveline H J , Scheerhoorn Jai , Jacobs Fleur E N B , Nienhuijs Simon , Boer Arjen-Kars , van Riel Natal A W , de Morree Helma M , Bonomi Alberto G , Scharnhorst Volkher , Bouwman R Arthur
Published: February 2023

Background

Postoperative deterioration is often preceded by abnormal vital parameters. Therefore, vital parameters of postoperative patients are routinely measured by nursing staff. Wrist-worn sensors could potentially provide an alternative tool for the measurement of vital parameters in low-acuity settings. These devices would allow more frequent or even continuous measurements of vital parameters without relying on time-consuming manual measurements, provided their accuracy in this clinical population is established.

Objective

This study aimed to assess the accuracy of heart rate (HR) and respiratory rate (RR) measures obtained via a wearable photoplethysmography (PPG) wristband in a cohort of postoperative patients.

Methods

The accuracy of the wrist-worn PPG sensor was assessed in 62 post–abdominal surgery patients (mean age 55, SD 15 years; median BMI 34, IQR 25-40 kg/m2). The wearable obtained HR and RR measurements were compared to those of the reference monitor in the postanesthesia or intensive care unit. Bland-Altman and Clarke error grid analyses were performed to determine agreement and clinical accuracy.

Results

Data were collected for a median of 1.2 hours per patient. With a coverage of 94% for HR and 34% for RR, the device was able to provide accurate measurements for the large majority of the measurements as 98% and 93% of the measurements were within 5 bpm or 3 rpm of the reference signal. Additionally, 100% of the HR and 98% of the RR measurements were clinically acceptable on Clarke error grid analysis.

Conclusions

The wrist-worn PPG device is able to provide measurements of HR and RR that can be seen as sufficiently accurate for clinical applications. Considering the coverage, the device was able to continuously monitor HR and report RR when measurements of sufficient quality were obtained.

Trial Registration

ClinicalTrials.gov NCT03923127; https://www.clinicaltrials.gov/ct2/show/NCT03923127
Evaluation of the Effectiveness of Suicide.ca, Quebec’s Digital Suicide Prevention Strategy Platform: Cross-Sectional Descriptive Study (Preprint)
Authors: Côté Louis-Philippe , Lane Julie
Published: February 2023

BACKGROUND

In 2017, the Quebec government assigned the Association québécoise de prévention du suicide (AQPS) to develop a digital suicide prevention strategy (DSPS). The AQPS responded by creating a centralized website that provides information on suicide and mental health, identifies at-risk individuals on the internet, and offers direct crisis intervention support via chat and text.

OBJECTIVE

This study aims to evaluate the effectiveness of suicide.ca, Quebec’s DSPS platform.

METHODS

This study used a cross-sectional descriptive design. The study population comprised internet users from Quebec, Canada, who visited the suicide.ca platform between October 2020 and October 2021. Various data sources, such as Google Analytics, Firebase Console, and Customer Relation Management data, were analyzed to document the use of the platform. To understand the profile of suicide.ca users, frequency analyses were conducted using data from the self-assessment module questionnaires, the intervention service’s triage questionnaire, and the counselors’ intervention reports. The effectiveness of the platform’s promotional activities on social media was assessed by examining traffic peaks. Google Analytics was used to evaluate the effectiveness of AQPS’ strategy for identifying at-risk internet users. The impact of the intervention service was evaluated through an analysis of counselors’ intervention reports and postintervention survey results.

RESULTS

The platform received traffic from a diverse range of sources, with promotional efforts on social media directly contributing to the increased traffic. The requirement of a user account posed a barrier to the use of the mobile app, and a triage question that involved personal information led to a substantial number of dropouts during the intervention service triage. AdWords campaigns and fact sheets addressing suicide risk factors played a crucial role in driving traffic to the platform. With regard to the profile of suicide.ca users, the findings revealed that the platform engaged individuals with diverse levels of suicidal risk. Notably, users of the chat service displayed a higher suicide risk than those who used the self-assessment module. Crisis chat counselors reported a positive impact on approximately half of the contacts, and overall, intervention service users expressed satisfaction with the support they received.

CONCLUSIONS

A centralized digital platform can be used to implement a DSPS, effectively reaching the general population, individuals with risk factors for suicide, and those facing suicidal issues.
Augmenting K-Means Clustering With Qualitative Data to Discover the Engagement Patterns of Older Adults With Multimorbidity When Using Digital Health Technologies: Proof-of-Concept Trial (Preprint)
Authors: Sheng Yiyang , Bond Raymond , Jaiswal Rajesh , Dinsmore John , Doyle Julie
Published: February 2023

BACKGROUND

Multiple chronic conditions (multimorbidity) are becoming more prevalent among aging populations. Digital health technologies have the potential to assist in the self-management of multimorbidity, improving the awareness and monitoring of health and well-being, supporting a better understanding of the disease, and encouraging behavior change.

OBJECTIVE

The aim of this study was to analyze how 60 older adults (mean age 74, SD 6.4; range 65-92 years) with multimorbidity engaged with digital symptom and well-being monitoring when using a digital health platform over a period of approximately 12 months.

METHODS

Principal component analysis and clustering analysis were used to group participants based on their levels of engagement, and the data analysis focused on characteristics (eg, age, sex, and chronic health conditions), engagement outcomes, and symptom outcomes of the different clusters that were discovered.

RESULTS

Three clusters were identified: the typical user group, the least engaged user group, and the highly engaged user group. Our findings show that age, sex, and the types of chronic health conditions do not influence engagement. The 3 primary factors influencing engagement were whether the same device was used to submit different health and well-being parameters, the number of manual operations required to take a reading, and the daily routine of the participants. The findings also indicate that higher levels of engagement may improve the participants’ outcomes (eg, reduce symptom exacerbation and increase physical activity).

CONCLUSIONS

The findings indicate potential factors that influence older adult engagement with digital health technologies for home-based multimorbidity self-management. The least engaged user groups showed decreased health and well-being outcomes related to multimorbidity self-management. Addressing the factors highlighted in this study in the design and implementation of home-based digital health technologies may improve symptom management and physical activity outcomes for older adults self-managing multimorbidity.
Psychoanalytic Deconstruction of Dystopian Personae: A Comprehensive Study of Brave New World, 1984, Fahrenheit 451 and The Handmaid’s Tale
Authors: Datta Souvik , Dutta Ankita
Published: February 2023

“I think dystopian futures are also a reflection of current fears.” – Lauren Oliver The more we progress towards a better dawn, the more we find ourselves involved in a dystopian societal bond. Far removed from Thomas Moore and his concept of utopia, we have drowned deep into the abyss of never ending chaos, the chaos of erroneous distortions that mess up with the wits and generate robots. All dystopian fictions deal with the same concept, but each become more menacing than the former. This feature that emerged as a by product of post-colonialism, has stormed the world in general and the literary sphere in particular, striking alarming thoughts. “But within every dystopia there’s a little utopia.” – Margaret Atwood. We, readers, have to understand these minacious nightmares that have been penned down since the last century. This paper attempts to deconstruct the four pillars of dystopian narrative: Brave New World by Aldous Huxley, 1984 by George Orwell, Fahrenheit 451 by Ray Bradbury and The Handmaid’s Tale by Margaret Atwood. The deconstructive analysis, done through psychoanalytic criticism, would be based on both the Freudian and Jungian principles. The novels selected are dystopian in nature, keeping in mind the postcolonial society and the crisis that it has been facing since the advent of the world wars. Some of the major analytical theories have been taken up together by this paper: deconstruction to point at the horror from the closest point of examination and psychoanalysis that will help with a better understanding into the psyche of the protagonists. This paper aims at giving a better insight into the postmodern dystopian society as a whole, seeking to provide a solution rather than posing a problem. “The beauty of dystopia is that it lets us vicariously experience future worlds – but we still have the power to change our own.” – Ally Condie This is exactly what this paper aims to present: an understanding of the future agitations, so that postcolonial dystopia remains a vague abstraction, never concretised!
An INTRANET-Based Web Application for College Management System Using Python with Django Web Framework
Authors: Koncha Dharan Tej Bhushan , G Nikhil Reddy , Dagam Mythili , Tasneem Rayeesa
Published: February 2023

Abstract: The TECH-STAT-VIEW is a cutting-edge online intranet program with significant implications for universities and academic institutions. This system allows departments or the whole university to track and monitor student attendance in real time. It also provides a platform for viewing and searching college-related information, as well as receiving updates on grades, leaves and staff attendance. Staff employees have the ability to easily upload and download information to the database. Users must first register and be allowed access based on their identification as a student to the specific staff member in order to fully utilize the system's capabilities to view or modify information. The intranet-based TSV platform's ultimate goal is to provide easy access to information at all levels of organizational management, acting as a complete knowledge and information management system. Using the Django framework, developers may create a strong and scalable web application with a user-friendly interface that is simple to maintain. The Python programming language, with its many libraries and tools, provides the resources required to create sophisticated and feature-rich programs. The Python programming language and the Django framework work well together to create a college administration system that satisfies the demands of current educational institutions.
Pengaruh pelatihan dan kepemimpinan terhadap produktivitas kerja karyawan di pesisi restaurant the alantara hotel sanur
Authors: Murthi Hadi Ramanda , Ismail Deden , Muliadiasa I Ketut
Published: February 2023

Pesisi restaurant ditemukan kurangnya produktivitas kerja karyawan dalam melayani tamu. Penelitian ini bertujuan untuk mengetahui seberapa besar pengaruh pelatihan kerja dan kepemimpinan terhadap produktivitas kerja karyawan di Pesisi Restaurant Hotel The Alantara Sanur. Adapun yang menjadi populasi dalam penelitian ini adalah staff dari Pesisi Restaurant Hotel The Alantara Sanur yang berjumlah 32 orang. Metode penelitian yang digunakan adalah pendekatan kuantitatif dan dengan penelitian korelasional Sedangkan teknik yang digunakan untuk mendapatkan data adalah kuisioner yang diteruskan ke sejumlah responden tertentu untuk mendapatkan data primer dengan teknik analisa data melalui Uji Regresi Linear Berganda. Hasil penelitian ini menunjukkan bahwa 1) Pelatihan secara parsial berpengaruh sangat signifikan terhadap Produktivitas Kerja Karyawan 2) Kepemimpinan secara parsial berpengaruh sangat signifikan terhadap Produktivitas Kerja Karyawan dan 3) Prlatihan dan Kepemimpinan berpengaruh sangat nyata) terhadap Produktifitas Kerja Karyawan
 
At pesisi restaurant there is a lack of employee productivity in serving guest. This study aims to determine how much influence job training and leadership have on employee productivity at Pesisi Restaurant Hotel The Alantara Sanur. The population in this study were staff from Pesisi Restaurant Hotel The Alantara Sanur, amounting to 32 people. The research method used is a quantitative approach with correlational research. While the technique used to obtain data is a questionnaire which is forwarded to a certain number of respondents to obtain primary data with data analysis techniques through Multiple Linear Regression Test. The results of this study indicate that 1) Training (X1) partially has a very significant effect on Employee Work Productivity (Y) and through regular training of employees will be able to improve the abilities and knowledge of employees so that in work they can increase productivity. 2) Leadership (X2) partially has a very significant effect on Employee Work Productivity (Y) and 3) Training (X1) and Leadership (X2) Simultan has a very significant effect on Employee Work Productivity (Y).
Analisis menu a’la carte menggunakan metode menu engineering di poppies restaurant kuta
Authors: Anggitha I Putu Nanda , Sudiarta I Nyoman , Kuntariati Utik
Published: February 2023

Dari banyaknya Restoran di Bali, ternyata belum semua restoran melakukan analisis Menu Enginering secara rutin yang menyebabkan tidak adanya data untuk mengetahui performa menu dan juga keuntungan. Dalam penelitian ini akan menganalisa menu a’la carte di Poppies Restaurant menggunakan metode menu engineering. Hasil penelitian menunjukan dari 80 item menu a’la carte di poppies restaurant terdapat 22 item termasuk dalam kategori star, 30 item termasuk dalam kategori plowhorse, 9 item termasuk dalam kategore puzzle, dan 19 item yang termasuk dalam kategoti dog. Hasil analisis tersebut menunjukkan klasifikasi menu dog masih cukup tinggi, hal itu menunjukkan performa menu a’la carte di Poppies Restaurant belum maksimal dan harus diperbaiki, oleh karena itu perlu dilakukannya analisis menu rutin intensif untuk memaksimalkan performa menu dan pendapatan di Poppies Restaurant.
 
Of the many restaurants in Bali, it turns out that not all restaurants perform Menu Enginering analysis on a regular basis which causes no data to determine menu performance and profits. In this study, we will analyze the a'la carte menu at Poppies Restaurant using the menu engineering method. The results showed that of the 80 a'la carte menu items at Poppies restaurant there were 22 items included in the star category, 30 items included in the plowhorse category, 9 items included in the puzzle category, and 19 items which are included in the dog category. The results of the analysis show that the classification of the dog menu is still quite high, it shows that the performance of the a'la carte menu at Poppies Restaurant has not been maximized and must be improved, therefore it is necessary to do an intensive routine menu analysis to maximize menu performance and income at Poppies Restaurant.
Investigating the ambient temperature influence on the positions of EPN/IGS stations located on buildings and other structures
Authors: Bovshin N.A.
Published: February 2023

It was shown in the preceding articles, that the positions of permanent EPN / IGS stations, whose GNSS antennas are placed on buildings or other structures, can have non-geodynamical individual seasonal (with a period of one year), spontaneous (lasting from several days to several weeks) and diurnal variations. It was shown too, that they may be caused by an expanding-contracting effect of the buildings or other stuctures under influence of ambient temperature changes. Typical features of the mentioned effect were displayed through behaviour of some permanent EPN / IGS stations. This paper continues the investigating. A set of EPN stations affected by this effect was shown. Additional features of this effect were found that change the stations` behavior. New situations are revealed in which this effect manifests itself. A way to reduce temperature dependence of stations positions was noted.
Disturbance Rejection Performance Comparison of PSO and ZN Methods for Various Disturbance Frequencies
Authors: GÖKÇE Celal Onur , DURUSU Volkan , UNAL Ridvan
Published: February 2023

In this study Proportional-Integral-Derivative (PID) control of brushed DC Motor is analyzed. The parameters of the PID controller are tuned with two different approaches, namely Ziegler-Nichols (ZN) and Particle Swarm Optimization (PSO). The system is tested under sinusoidal disturbance of varying frequencies in order to evaluate and compare disturbance rejection performances. It is shown that PSO approach has clearly higher performance compared with ZN approach for all disturbance frequencies. Simulations are done using Python programming language with trapezoid rule for differentiation and integration. Results are given in both figures and tables. Comments are done on results and future study is planned.
PROPERTIES AND MORPHOLOGICAL OF MORTAR CONTAINING USED ENGINE OIL
Authors: Harmaji Andrie , Ramadhan Andikah Willy
Published: February 2023

Engine oil has an important role in the design and operation of all automotive engines. Used engine oil is a waste product produced in high quantity in the workshop garage which commonly found in most cities in Indonesia. The utilization of used engine oil has shown potential as retarder by reduce the setting time of mortar. In this study mortar was made by mixing cement,light aggregate, water, and engine oil both new and used as admixture ranged 0-1%. Mortar sample treatment is carried out at room temperature. The samples were tested for setting time and compressive strength after 3, 7 and 28 days curing. Scanning Electron Microscope characterization was carried out to to find out the morphological structure of resulting mortar. Results shown that the mortar with the addition of 0.75% used engine oil has the highest compressive test result of 9.31 MPa when the mortar reached 28 days compared to mortar without engine oil addition has a compressive test result of 7.546 MPa. SEM Images shown there are more ettringite presents in mortar with used engine oil addition.
NiO ELECTRO-DEPOSITION TECHNIQUE OF γ-Al2O3 WASHCOAT ON FeCrAl SUBSTRATE BY USING SULPHAMATE TYPE SOLUTION
Authors: Feriyanto Dafit , Leman A. M. , Sudarma Andi Firdaus , Romahadi Dedik , Pranoto H.
Published: February 2023

Electro-deposition process to develop surface layer on the substrate material in Catalytic converter (CATCO) become interesting area due to that process was purposed to improve the physical properties of substrate material. Currently, precious metals such as Platinum (Pt), Palladium (Pd), and Rodium (Rd) were used due to excellent oxidation resistant but it limited and easily oxidized. Therefore, Nickel Oxide (NiO) catalyst used as electro-deposition material. NiO electro-deposition technique that called by EL was conducted by using NiO as cathode and FeCrAl as substrate and -Al2O3 as washcoat material. This technique was performed by  variation times of 15, 30, 45, 60 and 75 minutes, current density of 8 A/dm2. The results shows that Coating layer of NiO and  -Al2O3 has been developed on surface of FeCrAl substrate. The coating layer was increase the surface roughness which showed by surface morphology data that coated FeCrAl substrate has uneven surface and some particles has been embedded on that surface. The composition of raw material was consists of Fe for 74.13wt%,  Cr of 20.25 wt% and Al of 5.62 wt%. Meanwhile, for composition of EL samples was 52.56- 63.54wt% for Fe element, Al for 3.56-11.89 wt%, Cr for 14.97-18.56 wt%, O for 2.47-11.78 wt%, C for 8.33-11.85 wt%, Na for 0.11-0.48 wt%  and Ni for 0.17- 1.58 wt%.  Higher elements of the EL samples potential to improve the thermal stability at high temperature due to CATCO operate at high temperature of 600-8500C and in extreme condition.
E-Commerce, Self Assessment System, Tax Knowledge And Automatic Exchange Of Information On Tax Avoidance Intentions
Authors: Rista Novi , Aprilina Vita , Baryanto Sugeng
Published: February 2023

This study aims to examine whether or not there is an effect of E-Commerce, Self Assessment System, Tax Knowledge and Automatic Exchange of Information (AEoI) on the Tax Avoidance Intentions of E-commerce Business Actors. The research method uses a quantitative approach. The data used are primary data by distributing questionnaires in the form of Google forms to e-commerce business people. The research population is e-commerce players in West Java Province as many as 1,820 e-commerce business people. Determination of the sample with the Slovin formula resulted in 100 respondents. The sampling technique is purposive sampling with data analysis using Multiple Linear Regression. The results of this study indicate that Tax Knowledge has a positive effect on intention to avoid tax while E-Commerce, Self Assessment System and Automatic Exchange of Information (AEoI) have no effect on intention to avoid tax.
Concept and Prototype Design Differentiation Strategy Application (Case Study on Restaurants at Medan Plaza Fair, Medan City)
Authors: Harahap Kartini
Published: February 2023

The study aims to design application concepts and prototypes of differentiation strategies in achieving competitive advantage in restaurants using a design thinking model (a case study on a restaurant at Medan Plaza Fair Medan City), related to the problem of restaurants that must be able to deal with the COVID-19 pandemic situation amid of a highly competitive environment. The study used a descriptive qualitative approach and used purposive random sampling for sampling. The type of data used is primary and secondary data with data collection through interviews, observation and documentation. Data analysis uses value chain analysis, and design thinking models. The results showed that the conceptual design in building the application of a differentiation strategy to achieve competitive advantage in restaurants consisted of four data pillars, namely (i)identification, (ii) analysis of potential sources of differentiation, (iii)creating differentiation, and (iv)restaurant value chains.The prototype built on the application of a restaurant's differentiation strategy consists of five differentiations, namely: (i)product differentiation, (ii)service differentiation, (iii)place differentiation, (iv)personnel differentiation, and (v)channel differentiation.This research is expected to be able to build an application of competitive strategy through an effective differentiation strategy, making it easier for restaurant business people to develop and define differentiation strategies in achieving competitive advantage and provide opportunities for restaurant businesses to always innovate in strategies that are adaptive to any changes in the dynamic and complex environment.
The Influence of Costs, Long at Sea and Prices on Fishermen's Income in Alor District
Authors: Sau Sabu Junius Menase , Sofyan Maryanti
Published: February 2023

The purpose of this study was to determine the effect of cost, duration of fishing and price on income. The methodology of this research is multiple linear regression with quantitative methods and uses primary data with data collection techniques: observation, interviews, questionnaires and literature study. The data is then processed with the help of SPSS 25. The analysis technique is preliminary analysis, namely: descriptive statistics, instrument tests and classical assumption tests, then followed by further analysis, namely analysis of the coefficient of determination and hypothesis testing, namely t-test and F-test. The results of this study are: ( 1) Partially, costs have an effect on income with a significance value of 3.5% < 5%. (2) Partially the length of time at sea has an effect on income with a significance value of 0% < 5%. (3) Partially the price has an effect on income with a significance value of 0% < 5%. (4) Simultaneously cost, length of fishing and price affect income with a significance value of 0% < 5%. The conclusions of this study are: 1) the results of the study accept H1, H2, H3 and H4.
Risks Identification In Construction Of Jetty Projects: Literature Review
Authors: Dewi Kiki Patricia , Kurniawan Jatmiko , Irawan Herman , Purba Humiras Hardi
Published: February 2023

Delays in project development often occur due to various risk factors that have not been identified during project implementation, resulting in increased project delays and unexpected costs. However, each construction project has different risks depending on the type of project and project environmental conditions, so it requires handling different project implementation methods.In a jetty project, risk assessment is carried out from both technical and non-technical perspectives. From a technical point of view, risks are assessed starting from soil conditions, water level, weather, installation methods, design changes, etc. Meanwhile, from a non-technical perspective, the risks arising from the environment, social and social aspects are assessed. economic, legal, and institutional aspects as well as finance and investment.This summary literature review shows that Technical Risk has the greatest impact on jetty projects in the internal and external project category.
Application of the Resource Sharing Innovation Model in Addressing the High Unemployment Rate in a Sustainable Way
Authors: Suseno Bambang Dwi , Yusuf Furtasan Ali , Hidayat Syamsul , Surani Dewi
Published: February 2023

Objectives: The current study tries to explore the novelty of the resource sharing innovation variable as a mediating variable to solve several contradictions regarding the correlation between vocational school graduates and industrial human competitiveness. Such exploration also aims to offer a new viewpoint regarding two variables namely the skill development center and training revolving fund.Methodology: The current study applied Research and Development (R&D) method which involved apprentice learners as the samples, who were selected from certain companies which were inviting apprentice learners who graduated from vocational schools. Further data processing was performed through the software of IBM AMOS 2.2.Finding: The study results were further analyzed in the form of triangulation for finding confirmation from certain officers who managed apprenticeship programs at the seven companies involved. The readiness toward Resource Sharing Innovation (RSI) was found to have a significant effect on the Industrial People Competitiveness.Conclusion: The study conclusion made based on study findings indicated evidence that the novelty of Resource Sharing Innovation (RSI) was able to support the industrial human competitiveness.
The Concept of Quadruple Helix Collaboration and Quintuple Helix Innovation as Solutions for Post Covid 19 Economic Recovery
Authors: Wahdiniwaty Rahma , Firmansyah Deri , Dede Dede , Suryana Asep , Rifa'i Asep Achmad
Published: February 2023

The COVID-19 pandemic has had a serious impact on the health, economy, transportation, and other industrial crises. The implementation of the lockdown or PSBB has disrupted the operations of various economic sectors.Objectives: The purpose of this research is to describe the concept of the Quadruple Helix collaboration and the Quintuple Helix Innovation model as part of the collaboration, innovation, and synergy initiatives between multi actors to help find solutions in an effort to recover the national economy after COVID-19 in implementing government policies.Methodology: The research method used is the descriptive qualitative method using secondary data from various works of literature, such as books, articles, and home pages to access information data relevant to the Quadruple Helix collaboration concept, namely government, academia, company, and society. The analysis technique was carried out by descriptive analysis.Finding: Based on the research results, it can be seen that the Quadruple Helix collaboration concept is a solution for national economic recovery which can refer to the structure, process, input, and output.Conclusion: The Quintuple Helix Innovation model views more comprehensively the importance of adaptability and the suitability of interactions with social environmental conditions in every process from the structure, the process itself, input and output along with its evaluation.
How Personality Can Improve APIP Supervisory’s Performance? Mediation Analysis Using Various Types of Competencies
Authors: Widodo Slamet , Mardani Wilysa , Suryosukmono Gerry , Alfansi Lizar , Pareke Fahrudin Js
Published: February 2023

Objectives: According to the holistic personality theory, the purpose of this study in general is to investigate the relationship between personality and competence in predicting the performance of the Regional Inspectorate Government Internal Supervisory Apparatus (APIP).Methodology: To investigate the relationship between variables, a survey of 180 respondents was conducted at 11 inspectorates in Bengkulu province. There were 123 auditors and 57 supervisors for local government administration among those who responded. Extroversion, neurotic, conscientiousness, openness, agreeableness, cognitive competence, emotional, social, generic, and supervisory performance are all investigated in this study. The structural equation model and the Sobel test were used to investigate the relationship between these variables. The model was created through an analysis of four new personality types, namely average, calm, selfish, and role models. This study discovered a link between personality and cognitive competence, cognitive competence and generic competence, and generic competence and supervisor performance.Finding: According to the findings, cognitive competence mediates the relationship between personality and generic competence, and generic competence mediates the relationship between cognitive competence and supervisor performance. Furthermore, it was discovered that the role model's personality has a positive effect on employees' cognitive competence.Conclusion: Inspectorate institution should improve its generic competence. The inspectorate must also engage in activities that promote cognitive competence, such as special training. The inspectorate must also plan training to improve employees' lack of personality.
Volume 50: The UHM Journal celebrates a milestone with the publication of this issue
Authors:   Editor Emeritus, Camporesi Enrico M ,   Anesthesia Research Director,   TEAMHealth Anesthesia, TGH,   Emeritus Professor of Surgery, USF, Tampa, Florida US, Moon Richard E ,   Associate Editor; Departments of Anesthesiology and Medicine, Center for Hyperbaric Medicine and Environmental Physiology, Duke University, North Carolina US
Published: February 2023

As the UHMS observes the distinguished anniversary of the publication of 50 volumes of the Undersea and Hyperbaric Medicine Journal, two of our past editors take a look at the evolution of our flagship publications.
The importance of value-added tax harmonization in the European Union single market
Authors: Beshi Simeana , Peci Bedri
Published: February 2023

The research focuses on the impact of value-added tax (VAT) harmonization as necessary to ensure the establishment and functioning of the single market. The aim is to show the legal basis and national actions taken by the nations to fulfill the Directives’ requirement for harmonization as a precondition for promoting the single market. This paper also examines Member States’ (MS) ongoing efforts to harmonize national tax systems because of fiscal sovereignty to choose its own VAT structure which prevents complete harmonization and the European Court of Justice (ECJ) interpretation approach to VAT. An example of a harmonized tax inside the European Union (EU) is VAT. The development and effectiveness of a single market is the EU’s top priority. To realize the goal of creating a single market, all barriers to the free movement of people, capital, goods, and services between the MS must be eliminated (Kollmann, 2019). To fulfill the research aims, the histogram methodology and several statistical analyses were utilized to summarize data and hypothesis testing. The findings underline that, from the MS’s viewpoint, the EU VAT is primarily a significant source of revenue. From the viewpoint of the EU, a harmonized VAT should be seen as a fundamental part of the single market. The research is of particular relevance to researchers, tax practitioners, VAT policy designers, etc. The VAT harmonization process and challenges in the EU are an excellent platform for analyzing the views of science, doctrine, and practice on this issue. This research will enable further research into the strategy and challenges of VAT harmonization.
Habitat protection and planning for Leonurus japonicus using the Maxent and Marxan models
Authors: Wang Yongji , Xie Liyuan , Zhou Xueyong , Chen Renfei , Zhao Guanghua , Zhang Fenguo
Published: February 2023

To predict suitable growing regions for Leonurus japonicus and to
provide scientific sopport for the habitat conservation and the
exploitation and utilization of germplasm resources under climate change
conditions, this study combined niche and priority conservation models
to assess the future potential distribution of L. japonicus in China. To
this end, distribution points and samples of L. japonicus were gathered
through online and field surveys. The Maxent model with optimized
parameters was used for predicting the suitable habitats of L. japonicus
at different stages, and the Marxan model was used to determine the
priority of protected areas. The results showed that the highest
temperature in the hottest month, the lowest temperature in the coldest
month, the precipitation in the wettest month, the precipitation in the
driest month, and altitude were the main environmental factors
influencing the distribution of L. japonicus. Under the three climate
change scenarios, the centroid of the suitable area of L. japonicus
migrated northward, and the migration position tended to expand further
northwest. In the future, there would be no significant niche
differentiation of L. japonicus; the Marxan results showed that priority
protected areas for L. japonicus were in southwestern central China,
Lingnan, southern east China, and Guizhou. Overall, the results of this
research can provide a strategy for the determination of priority
protection areas for Leonurus japonicus in China.
Reliability Engineering Opportunities in Industry 4.0
Authors: Baro Manuel , Reyes Aida
Published: February 2023

Industry 4.0 is based on the internet of things, this means, that in
industries or companies the value chain, including processes, products,
hardware, and software, among others, exists the necessity to implement
new knowledge technologies to implement and control Industry 4.0
interactions, in other words, with the advantages of industry 4.0 such
as the used of real-time data, big data, blockchain, human-machine
interaction, cyber-systems, among others, the electronic devices that
allowed this interaction and electronic data interchange centralize,
need to be in the highest possible reliability perform, aiming to be
able to carry out all these activities safely and effectively. In this
research, the objective is to introduce some general advantages of
Industry 4.0 and how reliability engineering is an important ally in the
performance of the functions of Industry 4.0. Then, this manuscript
presents the necessary knowledge and applications of reliability
engineering that can be implemented in Industry 4.0 as stress-strength
analysis in the case of equal shape parameters β_(s= ) β_S ;
stress-strength analysis β_(s ≠) β_S; Nonnormal capability index and
Weibull Capability index, by using Weibull++ Software and mathematical
procedure. Another target of this research is to demonstrate that by
using reliability engineering it is possible to have better control in
such a way that efficiency and productivity stay and even can increases.
Also, reliability engineering represents security and stable processes.
Finally, with the merging of Industry 4.0 and reliability engineering,
the making decision process is more reliable decision-making.
Patient-derived tumor models: a suitable tool for preclinical studies on esophageal cancer
Authors: Liang Fan , Xu Hongyan , Cheng Hongwei , Zhao Yabo , Zhang Jun-He
Published: February 2023

Esophageal cancer (EC) is the tenth most common cancer worldwide and has
high morbidity and mortality. Its main subtypes include esophageal
squamous cell carcinoma and esophageal adenocarcinoma, which are usually
diagnosed in their late stages. The biological defects and inability of
preclinical models to summarize completely the etiology of multiple
factors, the complexity of the tumor microenvironment, and the genetic
heterogeneity of tumors severely limit the clinical treatment of EC.
Patient-derived models of EC not only retain the tissue structure, cell
morphology, and differentiation characteristics of the original tumor,
they also retain tumor heterogeneity. Therefore, compared with other
preclinical models, they can better predict the efficacy of candidate
drugs, explore novel biomarkers, combine with clinical trials, and
effectively improve patient prognosis. This review discusses the methods
and animals used to establish patient-derived models, especially
patient-derived xenograft models. It also discusses their advantages,
applications, and limitations as preclinical experimental research tools
to provide an important reference for the precise personalized treatment
of EC and improve the prognosis of patients.
Convolutional Neural Network for Risk Assessment in Polycrystalline Alloy Structures via Ultrasonic Testing
Authors: ALQAHTANI HASSAN , Ray Asok
Published: February 2023

In the current state of the art of process industries/manufacturing
technologies, computer-instrumented and computer-controlled autonomous
techniques are necessary for damage diagnosis and prognosis in operating
machinery. From this perspective, the paper addresses the issue of
fatigue damage that is one of the most commonly encountered sources of
degradation in polycrystalline-alloy structures of machinery components.
It is possible to conduct in-situ detection & classification of damage
as well as an assessment of the remaining service life through
ultrasonic measurements of material degradation and their computer-based
analysis. In this paper, tools of machine learning (e.g., convolutional
neural networks (CNNs)) are applied to synergistic combinations of
ultrasonic measurements and images from a confocal microscope (Alicona)
to detect and evaluate the risk of fatigue damage. The database of the
confocal microscope has been used to calibrate the ultrasonic database
and to provide the ground truth for fatigue damage assessment. The
results show that both the ultrasonic data and confocal microscope
images are capable of classifying the fatigue damage into their
respective classes with considerably high accuracy. However, the
ultrasonic CNN model yields better accuracy than the confocal microscope
CNN model by almost 9%.
Damage mechanism of sandstone subjected to different prestress levels: insight from the mesoscopic perspective
Authors: Zhang Yaxin , Deng Lixu , Zhang Guodong , Yang Jianfei , Li Xijun
Published: February 2023

This study aimed to elucidate the damage mechanism of prestressed
sandstone under uniaxial compression through the distribution
characteristics of meso-structures. Four prestress levels, i.e., 0MPa,
15MPa, 30MPa, and 40MPa were selected. Nuclear Magnetic Resonance and
Scanning Electron Microscope techniques were employed to observe the
distribution characteristics of meso-structure within rocks and to
further its damage mechanism. The results show that, compare with
untreated specimens (0MPa), damaged specimens by 15MPa show a more
porous meso-structure due to pores/cracks propagation which occurs
between skeleton minerals and filler materials. Furthermore, specimens
treated by 30MPa and 40MPa show low failure strength because
micro-pores/cracks initiation inside skeleton minerals causes high
deterioration. By meso-mechanics analysis, particle rotation leads to
pores/cracks propagation and slightly modifies the meso-structure under
low-prestress conditions. With the increase of the prestress, the
transgranular cracks initiation and propagation will transform the
skeleton structure of rocks, leading to significant rock deterioration.
Microbial Models for Simulating Soil Carbon Dynamics: A Review
Authors: Chandel Aneesh Kumar , Luo Yiqi , Jiang Lifen
Published: February 2023

Soils store the largest amount of carbon (C) in the biosphere, and the C
pool in soil is critical to the global C balance. Numerous microbial
models have been developed over the last few decades to represent
microbial processes that regulate the responses of soil organic carbon
(SOC) to climate change. However, the representation of microbial
processes varies, and how microbial processes are incorporated into SOC
models has not been well explored. Here, we reviewed 70 microbial models
to characterize the microbial processes incorporated into SOC models and
analyzed variations in mechanistic complexity. We revealed that (1) four
processes (microbial decomposition, mineral interaction, microbial
mortality, and transition between active and dormant microbial states)
are commonly incorporated in microbial models, (2) ~47%
of models simulate only one (i.e., microbial decomposition) and 33%
simulated two microbial processes: microbial decomposition and mineral
interaction, (3) more than 80% microbial models use nonlinear
mathematical equations, such as forward Michaelis-Menten kinetics, to
represent SOC decomposition, (4) the concept of persistence of SOC due
to its intrinsic properties has been replaced by organo-mineral
interaction (~39% of microbial models) that protects
SOC from decomposition, and (5) various temperature and moisture
modifiers and pH effects have been used to explain the environmental
effect on microbial processes. Finally, we propose a roadmap for SOC
model improvement. In the future, to realistically incorporate microbial
processes into Earth System Models, it is imperative to identify
experimental evidence on rate limitation processes and firmly ground
model structure on the field and laboratory data.
Longer-term terrestrial responses in the aftermath of the end-Cretaceous mass extinction
Authors: Wang Jingyu , Li Xianghui , Li Yongxiang , Wang Yin , Zheng Chengyu
Published: February 2023

Mass-extinction with instantaneous and short-term effects on extreme
climate and deteriorated ocean environment across the
Cretaceous/Paleogene boundary (K/PgB) has been verified by an array of
geological records, however, a longer-term (~100−1000
Kyr) post-K/PgB variation remain poorly understood, particularly due to
the scarcity of terrestrial records. This study presents carbon isotope
analyses of pedogenic carbonates in the Nanxiong Basin, South China to
reconstruct carbon cycles and atmospheric CO
concentrations (pCO) spanning 70.0–62.0 Ma.
Combined with data from Songliao Basin (China) and Tornillo Basin (USA),
δC displays a post-K/PgB (66.0-64.5 Ma) vibration
that is correlative to the surface ocean but mirroring to the bottom
ocean. The vibration shows a pattern of collapse and smooth towards
rebound, constituting a process of ~400 Kyr (millennia)
deterioration, ~300 Kyr stabilization and
~800 Kyr recovery for the longer-term ecosystem and
environment. A similar pattern is observed for the reconstructed
pCO, correlating to changes of sea surface
temperature (SST) but contrasting bottom water temperature (BWT). With
the discrepancy of longer-term proxy variations, it is proposed that
ecosystems and environments in terrestrial and surface ocean had
experienced a more unstable, difficult and erratic recovery process and
were much more sensitive to climatic changes than in deep ocean for
~1.5 million years in the aftermath of the
end-Cretaceous mass extinction. In addition, the decoupling of proxy
variations from expected effects implies Deccan volcanism and Chicxulub
impact may not have played a key role in the longer-term
CO perturbation and environmental change following the
K/PgB.
Arctic Tropospheric Ozone Trends
Authors: Law Kathy S , Hjorth Jens Liengaard , Pernov Jakob Boyd , Whaley Cynthia , Skov Henrik , Coen Martine Collaud , Langner Joakim , Arnold Steve Robert , Tarasick David W , Christensen Jesper , Deushi Makoto , Effertz Peter , Faluvegi Greg , Gauss Michael , Im Ulas , Oshima Naga , Petropavlovskikh Irina , Plummer David , Tsigaridis Kostas , Tsyro Svetlana , Solberg Sverre , Turnock Steven T
Published: February 2023

Trends in tropospheric ozone, an important air pollutant and short-lived
climate forcer (SLCF), are estimated using available surface and
ozonesonde profile data for 1993-2019. Using a coherent methodology,
observed trends are compared to modeled trends (1995-2015) from the
Arctic Monitoring Assessment Programme SLCF 2021 assessment.
Statistically significant increases in observed surface ozone at Arctic
coastal sites, notably during winter, and concurrent decreasing trends
in surface carbon monoxide, are generally captured by multi-model median
(MMM) trends. Wintertime increases are also estimated in the free
troposphere at most Arctic sites, but tend to be overestimated by the
MMMs. Springtime surface ozone increases in northern coastal Alaska are
not simulated while negative springtime trends in northern Scandinavia
are not always reproduced. Possible reasons for observed changes and
model behavior are discussed, including decreasing precursor emissions,
changing ozone sinks, and variability in large-scale meteorology.
The 2022 MW 6.0 Gölyaka-Düzce earthquake: an example of a medium size earthquake in a fault zone early in its seismic cycle
Authors: Martínez-Garzón Patricia , Becker Dirk , Chen Xiang , Jara Jorge , Kwiatek Grzegorz , Bohnhoff Marco
Published: February 2023

On November 23rd 2022, a MW 6.0 earthquake occurred in direct vicinity
of the MW 7.1 Düzce earthquake that ruptured a portion of the North
Anatolian Fault in 1999. The Mw 6.0 event was attributed to a small
fault portion of the Karadere segment that did not rupture during the
1999 sequence. We analyze the spatio-temporal evolution of the MW 6.0
Gölyaka-Düzce seismic sequence at various scales and resolve the source
properties of the mainshock. Modelling the decade-long evolution of
background seismicity of the Karadere Fault employing an Epistemic Type
Aftershock Sequence model shows that this fault was almost seismically
inactive before 1999, while a progressive increase in seismic activity
is observed from 2000 onwards. A newly generated high-resolution
seismicity catalog from 1 month before the mainshock until six days
after created using Artificial Intelligence-aided techniques shows only
few events occurring within the rupture area within the previous month,
no spatio-temporal localization process and a lack of immediate
foreshocks preceding the rupture. The aftershock hypocenter distribution
suggests the activation of both the Karadere fault which ruptured in
this earthquake as well as the Düzce fault that ruptured in 1999. First
results on source parameters and the duration of the first P-wave pulse
from the mainshock suggest that the mainshock propagated eastwards in
agreement with predictions from a bimaterial interface model. The MW 6.0
Gölyaka-Düzce represents a good example of an earthquake rupture with
damaging potential within a fault zone that is in a relatively early
stage of the seismic cycle.