bluuebunny/crossref_metadata_2025 huggingface dataset:
Future role of Health Technology Assessment for Genomic Medicine in Oncology: A Canadian Laboratory Perspective
Authors: Husereau Don , Bombard Yvonne , Stockley Tracy , Carter Michael , Davey Scott , Lemaire Diana , Nohr Erik , Park Paul , Spatz Alan , Williams Christine , Pollett Aaron , Lo Bryan , Yip Stephen , El Hallani Soufiane , Feilotter Harriet
Published: August 2023

Genome-based testing in oncology is a rapidly expanding area of health care which is the basis of the emerging area of precision medicine. Efficient and considered adoption of novel genomic medicine testing is hampered in Canada by the fragmented nature of health care oversight as well as by lack of clear and transparent processes to support rapid evaluation, assessment and implementation of genomic tests. This article provides an overview of some key barriers and proposes approaches to addressing these challenges as a potential pathway to developing a national approach to genomic medicine in oncology.
Ascophyllum nodosum Extract and Glycine Betaine Preharvest Application in Grapevine: Enhancement of Berry Quality, Phytochemical Content and Antioxidant Properties
Authors: Monteiro Eliana , Baltazar Miguel , Pereira Sandra , Correia Sofia , Ferreira Helena , Alves Fernando , Cortez Isabel , Castro Isaura , Gonçalves Berta
Published: August 2023

The Douro Demarcated Region (DDR) has peculiar edaphoclimatic characteristics that provide a suitable terroir for premium wine production. As climate change effects continue to emerge, ensuring productivity and quality becomes increasingly important for viticulturists, as those directly determine their profits. Cultural approaches, such as the use of biostimulants, are actively being developed to mitigate abiotic stress. The main objective of this work was to assess the effect of foliar sprays of a seaweed (Ascophyllum nodosum) based extract (ANE) and glycine betaine (GB) on grape berry quality, bioactive compounds, and antioxidant activity. A trial was installed in a commercial vineyard (cv. Touriga Franca) in the Douro Superior (Upper Douro) sub-region of the Douro Demarcated Region. In 2020, a total of three foliar sprayings were performed during the growing season, namely at pea-size, bunch closure, and veraison. There was a positive effect of both biostimulants (ANE and GB) on the physiological and biochemical performance of cv. Touriga Franca exposed to summer stress. In general, the GB 0.2% spraying was the most promising treatment for this grape cultivar, as it increased berry quality, the concentration of bioactive compounds (total phenolics, flavonoids and ortho-diphenols), and the antioxidant activities. These results revealed the efficacy of biostimulants sprayings as sustainable viticultural practice, improving berry quality under summer stress conditions.
Modeling of Coffee Fruit: An Approach to Simulate the Effects of Compression
Authors: Pereira Janielle Souza , Magalhães Ricardo Rodrigues , Santos Fábio Lúcio , De Andrade Ednilton Tavares , Marques Leomar Santos
Published: August 2023

The flavor, aroma and color of coffee may change due to mechanical damage, reducing its qual-ity. To measure the mechanical response of materials, compression tests can be performed, de-termining the effect of force application on the mechanical behavior of the fruit at different stages of ripeness. In this context, this study aimed to analyze the deformation, strain energy and equivalent von Mises stress of coffee fruits at mature, semi-mature and immature maturation stages and compressed by collapse forces. Compression in three directions (x, y and z) was sim-ulated on coffee fruit models using the finite element method, with a compression support in the direction opposite to the force application axis. The numerical simulation of the compression process allowed to verify that the more mature the fruit, the greater the associated mean defor-mation (2.20 mm mm-1, 0.78 mm mm-1 and 0.88 mm mm-1), the lower the mean strain energy (0.07 mJ, 0.21 mJ and 0. 34 mJ) and the lower the mean equivalent von Mises stress (0.25 MPa, 1.03 MPa and 1.25 MPa), corresponding to ripe, semi-ripe and immature fruits; and these proper-ties may be used to analyze how processes in the production chain affect the amount of mechan-ical damage.
The Development and Validation of a Lightweight Automated Stock Trading System Using Deep Learning Models: Employing Technical Analysis Methods
Authors: Yu SeongJae , Yang Sung-Byung , Yoon Sang-Hyeak
Published: August 2023

Individual investors often struggle to predict stock prices due to the limitations imposed by the computational capacities of personal laptop Graphics Processing Units (GPUs) when running intensive deep learning models. This study proposes solving these GPU constraints by integrating deep learning models with technical analysis methods. This integration significantly reduces analysis time and equips individual investors with the ability to identify stocks that may yield potential gains or losses in an efficient manner. Thus, a comprehensive buy and sell algorithm, compatible with average laptop GPU performance, is introduced in the study. This algorithm offers a lightweight analysis method that emphasizes factors identified by technical analysis methods, thereby providing a more accessible and efficient approach for individual investors. To evaluate the efficacy of this approach, we analyzed the performance of eight deep learning models: LSTM (4 layers), CNN, BiLSTM (4 layers), CNN Attention, BiGRU CNN BiLSTM Attention, BiLSTM Attention CNN, CNN BiLSTM Attention, and CNN Attention BiLSTM. These models were used to predict stock prices for Samsung Electronics and Celltrion Healthcare. The CNN Attention BiLSTM model displayed superior performance among these models, with the lowest validation mean absolute error value. In addition, an experiment was conducted using WandB Sweep to determine the optimal hyperparameters for four individual hybrid models. These optimal parameters were then implemented in each model to validate their back-testing rate of return. The CNN Attention BiLSTM hybrid model emerged as the highest-performing model, achieving an approximate rate of return of 5 percent. Overall, this study offers valuable insights into the performance of various deep learning and hybrid models in predicting stock prices. These findings can assist individual investors in selecting appropriate models that align with their investment strategies, thereby increasing their likelihood of success in the stock market.
A Survey on Factors Preventing the Adoption of Automated Software Testing: A Principle Component Analysis Approach
Authors: Murazvu George , Parkinson Simon , Khan Saad , Liu Na , Allen Gary
Published: August 2023

Software testing is an integral yet time-consuming component of software development, and even with capable software testing resources (technology and people), it is still regarded as problematic. Test automation is widely being utilised within the software industry to provide increased testing capacity to ensure high product quality and reliability. In this paper, we are specifically addressing automated testing whereby test cases are manually written. Test automation has its benefits, drawbacks, and impacts on different stages of development. Furthermore, there is often a disconnect between non-technical and technical roles, where non-technical roles (e.g., management) predominantly strive to reduce costs and delivery time whereas technical roles are often driven by quality and completeness. Although it is widely understood that there are challenges with adopting and using automated testing, there is a lack of evidence to understand the different attitudes toward automated testing (AtAT), focusing specifically on why it is not adopted. In this paper, the authors have surveyed practitioners within the software industry from different roles to determine common trends and draw conclusions. A two-stage approach is presented, comprising a comprehensive descriptive analysis and the use of Principle Component Analysis. In total, 81 participants were provided with a series of 22 questions and their responses are compared against job role types and experience levels. In summary, 6 key findings are presented covering expertise, time, cost, tools and techniques, utilisation, organisation, and capacity
An Algebraic Non-equilibrium Turbulence Model of the High Reynolds Number Transition Region
Authors: Basse Nils Tångefjord
Published: August 2023

We present a mixing length based algebraic turbulence model calibrated to pipe flow; the main purpose of the model is to capture the increasing turbulence production-to-dissipation ratio observed in connection with the high Reynolds number transition region. The model includes the mixing length description by Gersten and Herwig which takes the observed variation of the von Kármán number with Reynolds number into account. Pipe wall roughness effects are included in the model. Results are presented for area-averaged (integral) quantities which can be used both as a self-contained model and as initial inlet boundary conditions for computational fluid dynamics simulations.
Retinal Microvascular Alterations in a Patient with Type 1 Diabetes, Hemoglobin D Hemoglobinopathy and High Myopia – Case Report and Review of Literature
Authors: Dan Alexandra Oltea , Bălășoiu Andrei Teodor , Puiu Ileana , Tanasie Andreea Cornelia , Târtea Anca Elena , Sfredel Veronica
Published: August 2023

Type 1 diabetes (T1D) is one of the most prevalent endocrinological diseases among children and young adults, with a growing incidence rate reaching up to 2.9 new cases per year per 100 000 persons below 15 years of age. We report the rare case of a 20-year-old female patient with T1D, hemoglobin D (HbD) heterozygote variant and high myopia of -10,00 spheric diopters and describe the retinal microvascular alterations visible on OCT angiography (angio-OCT). The patient also presented severe stature deficit (less than 3 standard deviations) and delayed puberty, which could not be explained only by suboptimal glycemic control, indicated a possible hypopituitarism. The HbA1c level evaluated with high performance liquid chromatography (HPLC) method was 6.5%, a falsely low value due to the HbD hemoglobinopathy. On ophthalmic evaluation the angio-OCT scan showed the following retinal microvascular alterations for the RE: the FAZ area vas 0.39 mm2, the FAZ perimeter was 2.88 mm and the circularity index was 0.58; for the LE: the FAZ area vas 0.34 mm2, the FAZ perimeter was 3.21 mm and the circularity index was 0.41. Clinicians should consider high performance retinal screening methods such angio-OCT evaluation for young T1D patients, especially for those with associated pathologies like high myopia and hemoglobinopathies. Moreover, multiple evaluation methods of the HbA1c values are mandatory as hemoglobinopathies can interfere with HbA1c assay methods accuracy.
Geothermal Energy and Beyond—A Review
Authors: Szanyi János , Rybach Ladislaus , Abdulhaq Hawkar A.
Published: August 2023

Geothermal energy is a weather-independent, permanently available renewable energy source. In addition to producing heat and electricity, geothermal energy can be used to extract critical raw materials dissolved in the heat-carrying fluid. Researchers working on the frontiers of geothermal energy utilisation may be able to transform ultra-deep metallic mineral formations into “orebody-Enhanced Geothermal Systems”. In the planned technology, the metal-containing geological formation would be manipulated in such a way that cogeneration of energy and metals is possible and can be optimised in the future according to market needs. The potential of geothermal energy for sustainable mineral extraction and energy production aligns with Sustainable Development Goal (SDG) 7, which aims to ensure access to affordable, reliable, sustainable, and modern energy for all. This new technology could substantially decrease Europe’s dependency on importing critical metallic minerals (such as lithium and tungsten) and energy; over and above, it has a small environmental footprint, including very low carbon emissions
Monitoring Ignition of Hay and Straw by Radiant Heat
Authors: Marková Iveta , Giertlová Zuzana , Jadudova Jana , Turekova Ivana
Published: August 2023

Hay and straw are commonly used materials in agriculture. They are organic materials and therefore flammable. This article examines the behaviour of hay and straw when exposed to radiant heat. The objective of this study is to experimentally determine the ignition temperature of hay and straw under the influence of radiant heat. The research investigates the effects of sample type (hay and straw) and sample quantity on the thermal degradation process, temperature increase within the samples, and ignition temperature of the samples as a function of time. The ignition temperature of hay was determined to be higher (407°C) compared to straw (380°C). The results did not demonstrate a significant correlation between sample type and the thermal degradation process or the ignition temperature of hay and straw.
Immobilization of Enzyme Electrochemical Biosensors and Their Application to Food Bioprocess Monitoring
Authors: Sun Ganchao , Fang Haitian , Liu Huiyan , Wei Xiaobo , Zhang Dianping , Huang Liben
Published: August 2023

Electrochemical biosensors based on immobilized enzymes are among the most popular and commercially successful biosensors. Literature in this field suggests that modification of electrodes with nanomaterials is an excellent method for enzyme immobilization, which can greatly improve the stability and sensitivity of the sensor. However, the poor stability, weak reproducibility, and limited lifetime of the enzyme itself still limit the requirements for the development of enzyme electrochemical biosensors for food production process monitoring. Therefore, constructing sensing technologies based on enzyme electrochemical biosensors remains a great challenge. This article outlines the construction principles of four generations of enzyme electrochemical biosensors and discusses the applications of single-enzyme systems, multi-enzyme systems and nano-enzyme systems developed based on these principles. The article further describes methods to improve enzyme immobilisation by combining different types of nanomaterials such as metals and their oxides, graphene-related materials, metal-organic frameworks, carbon nanotubes and conducting polymers. In addition, the article highlights the challenges and future trends of enzyme electrochemical biosensors, providing theoretical support and future perspectives for further research and development of high-performance enzyme chemical biosensors.
The Observation of Dark Photons in PHELEX with a Multi-Cathode Counter
Authors: Kopylov Anatoly , Orekhov Igor , Petukhov Valery
Published: August 2023

In this paper we report the results obtained in experiment PHELEX during 208 days of measurements on the search for dark photons with a multi-cathode counter with an iron cathode that revealed in 4 runs with a confidence level better than 5 σ a systematic excess of single electron events in the time interval from 8-00 till 12-00 sidereal time. The fact that we see this effect in stellar frame and do not in solar frame can be considered as evidence that the observed effect is due to dark photons.
Machine Learning - Based Prediction and System Performance Modelling – A Case Study of Garissa Solar Power Plant in Kenya
Authors: Chirchir Ignatius Rodgers , Park Soo jin , Kommen George
Published: August 2023

This study focused on the predictive models incorporating machine learning techniques that induce new dynamics for forecasting energy generation, enabling effective planning, financing, and system monitoring. The research developed a machine learning-based power generation prediction model tailored explicitly for Kenya's Garissa solar power plant. The selected model demonstrated a root mean squared error of 5.23 during evaluation, resulting in a prediction accuracy of 90.42%. This high accuracy indicates that the model can be relied upon for precise generation prediction, facilitating effective planning, and system performance monitoring
Efficiency System-level SHA-3 Accelerator for IoT
Authors: Huynh Thuan Huu , Dang Phat Tan , Tran Kiet Tuan , Hoang Thuc Trong , Pham Kha Cong
Published: August 2023

Edge computing has emerged as a significant computing trend alongside the rapid expansion of the Internet of Things (IoT). Computing operations at the network’s edge offer a solution to the high latency and service overload challenges often associated with cloud computing. Additionally, the Secure Hash Algorithm-3 (SHA-3) plays a crucial role in ensuring data integrity and is implemented for numerous applications in the IoT field. Therefore, integrating the SHA-3 accelerator into edge computing is essential. Moreover, recent studies about SHA-3 have primarily focused on achieving high performance and optimizing resource utilization for SHA-3. However, these studies have overlooked the crucial aspect of data transfer between the external memory and the hash function block, as transfer time plays a significant role. This paper proposes an efficient SHA-3 architecture designed for System-on-Chip (SoC) Field Programmable Gate Array (FPGA) to address the aforementioned challenges and be suitable for real edge computing. The architecture contains three key techniques. First, the harmony of padding and Direct Memory Access (DMA) for managing the data transfer process and enhancing performance efficiency based on Serial Input to Parallel Output (SIPO) and a barrel shifter. Secondly, implementing internal pipelining within the Round Function (RF) to reduce critical path delays and optimize resource utilization. Finally, designing four modes (SHA3-224, SHA3-256, SHA3-384, and SHA3-512) to cater to various applications. Our architecture is implemented and tested on the DE10-Standard Development Kit (Cyclone V SX SoC-5CSXFC6D6F31C6N), which is integrated into the FPGA and is controlled by a Dual-Core ARM Cortex-A9 processor. The result is up to 38.34 Gbps in throughput and 5.61 Mbps/ALM in efficiency for the RF computation, 28.02 Gbps in throughput, and 3.63 Mbps/ALM for the full proposed architecture.
A Ensemble Model for PM2.5 Concentration Prediction Based on Feature Selection and Two-Layer Clustering Algorithm
Authors: Wu Xiaoxuan , Wen Qiang , Zhu Jun
Published: August 2023

Determining accurate PM2.5 pollution concentrations and understanding their dynamic patterns is crucial for scientifically informed air pollution control strategies. Traditional reliance on linear correlation coefficients for ascertaining PM2.5 related factors only uncovers superficial relationships. Moreover, the invariance of conventional prediction models restricts their accuracy. To enhance the precision of PM2.5 concentration prediction, this study introduces a novel integrated model that leverages feature selection and a clustering algorithm. Comprising three components - feature selection, clustering, and integrated prediction, the model first employs the non-dominated sorting Genetic Algorithm (NSGA-III) to identify the most impactful features affecting PM2.5 concentration within air pollutants and meteorological factors. This step offers more valuable feature data for subsequent modules. The model then adopts a two-layer clustering method (SOM+K-means) to analyze the multifaceted irregularity within the dataset. Finally, the model establishes the Extreme Learning Machine (ELM) weak learner for each classification, integrating multiple weak learners using the Adaboost algorithm to obtain a comprehensive prediction model. Through feature correlation enhancement, data irregularity exploration, and model adaptability improvement, the proposed model significantly enhances the overall prediction performance. Data sourced from 12 Beijing-based monitoring sites in 2016 were utilized for an empirical study, and the model's results compared with five other predictive models. The outcomes demonstrate that the proposed model significantly heightens prediction accuracy, offering useful insights and potential for broadened application to multifactor correlation concentration prediction methodologies for other pollutants.
Unraveling the Interplay: Intestinal Parasites and Gut Microbiome in Immune-Mediated Bowel Disease
Authors: Chowdhury Sejuti Ray , Dey Arup , Mondal Sandip , Pawar Sharad D. , Ranade Anagha , Mahajon Bidhan , Bora Manajit , Rath Chinmaya , Gangwar Mayank , Gautam Manish Kumar
Published: August 2023

Immune-mediated bowel diseases (IMBD), including Ulcerative colitis and Crohn's disease, represent a significant global health burden with their complex etiology and increasing prevalence. The connection between intestinal parasites and the gut microbiome in immune-mediated bowel disease is a complex and evolving field of research. Several studies have demonstrated that intestinal parasites can modulate the composition and function of the gut microbiome. Parasitic infections can result in alterations in the gut microbial community, including changes in microbial diversity, abundance, and metabolic activity. These changes can influence the immune response and contribute to the development of IMBDs. In contrast, the gut microbiome serves a pivotal function in maintaining intestinal homeostasis and immune regulation. Dysbiosis, characterized by changes in the gut microbial composition, has been associated with the pathogenesis of IMBDs. Imbalances in the gut microbiota can result in increased gut permeability, chronic inflammation, and aberrant immune responses, all of which are hallmarks of IMBDs. The bidirectional interaction between intestinal parasites and the gut microbiome further complicates the understanding of immune-mediated bowel diseases. Certain parasites, such as hookworms and Necator americanus, have been found to downregulate immune responses and may have therapeutic potential in treating celiac disease. On the other hand, infections with parasites like Strongyloides stercoralis and Blastocystis have been shown to mimic the symptoms of IBD, highlighting the intricate relationship between parasites and the pathogenesis of these diseases. Additional investigation is required to comprehensively elucidate the mechanisms that underlie the association between intestinal parasites and the gut microbiome in immune-mediated bowel disease. This knowledge could potentially lead to the development of targeted therapeutic strategies that aim to restore gut microbiota homeostasis and alleviate the symptoms of these debilitating conditions. By understanding and harnessing the complex interplay between parasites, the gut microbiome, and the host immune system, researchers may uncover novel approaches for the management and treatment of immune-mediated bowel diseases.
The Importance of Service Elements in Retail Business
Authors: Verron Saputra  , Aprihatiningrum Hidayati
Published: August 2023

This study aims to find out how the external and internal marketing strategic issues of Toko Delima, How is the internal and external analysis of Toko Delima and how is the recommendation of Toko Delima's marketing strategy for 2023. This type of research is a qualitative research with interview data collection methods conducted on Toko Delima owners, Toko Delima consumers and competitor’s store consumers, observation of competitors and documentation studies with secondary data related to Toko Delima. The data analysis method used in this research is by using qualitative analysis methods. The results of this study indicate that in the future Toko Delima will experience changes in STP and its marketing mix, namely in the aspects of price, place and promotion strategies. There is an addition to the service elements of Toko Delima, so that previously using 4P will become 7P. Toko Delima's marketing strategy recommendations for 2023 are promoting using social media namely Instagram, increasing store convenience, adding online sales channels, adding types of promotions and changing product pricing. The results of this study are expected to have a positive impact on the development of science and business in the field of management, especially how to design a marketing strategy
The Influence of Emotional Intelligence, Teamwork, And Organizational Citizenship Behavior on Performance Agricultural Extension Workers in Banten Province
Authors: Sangadji Hamid
Published: August 2023

Saat ini Indonesia khususnya Provinsi Banten sedang berada pada masa new normal, dimana semua organisasi, baik organisasi publik maupun private (swasta), dituntut untuk memiliki keunggulan bersaing agar mampu bertahan dan mandiri. Dinas Pertanian Provinsi Banten sebagai organisasi publik terbesar yang bergerak dalam bidang pelayanan penyuluh pertanian di Provinsi Banten (yang selanjutnya dalam penelitian ini disebut sebagai organisasi), memiliki tenaga penyuluh pertanian yang beragam kompetensinya, dituntut untuk memiliki keunggulan bersaing dan kinerja yang tinggi dengan tetap mengedepankan emotional intelligence, teamwork, dan organizational citizenship behavior yang baik, terutama dari tenaga penyuluh pertaniannya sebagai garda terdepan (gatekeeper) pelayanan penyuluh pertanian yang profesional, mandiri, berdaya saing, dan berjiwa wirausaha. Rumusan masalah dalam penelitian ini didasari dari latar belakang penelitian yang menyatakan pentingnya Kecerdasan Emosi (Emotional Intelligence), Teamwork, dan Organizational Citizenship Behavior bagi peningkatan Kinerja penyuluh pertanian di Provinsi Banten. Permasalahan penelitian ini yaitu, bagaimana meningkatkan Kinerja penyuluh pertanian di Provinsi Banten melalui peningkatan Kecerdasan Emosi (Emotional Intelligence), Teamwork, dan Organizational Citizenship Behavior. Secara garis besar tujuan penelitian ini untuk menguji dan menganalisis besarnya pengaruh Kecerdasan Emosi (Emotional Intelligence), Teamwork, dan Organizational Citizenship Behavior terhadap Kinerja penyuluh pertanian di Provinsi Banten. Kebaruan (novelty) dari penelitian ini yaitu belum ditemukan penelitian sebelumnya yang membahas tentang pengaruh Kecerdasan Emosi (Emotional Intelligence), Teamwork, dan Organizational Citizenship Behavior terhadap Kinerja penyuluh pertanian di Provinsi Banten, baik secara metode maupun aplikasi. Penelitian ini dilaksanakan di Dinas Pertanian Provinsi Banten, pada bulan Februari 2022 - Februari 2023. Populasi dalam penelitian ini yaitu seluruh penyuluh pertanian di Provinsi Banten yang berjumlah 650 orang. Sampel berjumlah 210 orang. Penarikan sampel dilakukan dengan metode simple random sampling yaitu sampel ditarik dari kelompok populasi secara acak dengan bantuan software Microsoft Excel.  Penelitian ini termasuk dalam penelitian kuantitatif, dimana data diambil dengan metode penelitian survei, dan menggunakan kuisioner, lalu diuji dengan uji statistik, dan software program aplikasi SmartPLS Pro Versi 2.3.m3. Hasil penelitian menyatakan bahwa terdapat pengaruh langung positif Kecerdasan Emosi (Emotional Intelligence), Teamwork, dan Organizational Citizenship Behavior terhadap Kinerja penyuluh pertanian di Provinsi Banten.
Relationships between Work Environment and Employee Engagement mediate by Job Satisfaction
Authors: Simanjuntak Kemal H , Suhud Usep , Susita Dewi
Published: August 2023

This research examines impact of work environment on employee engagement, and more that the role of job satisfaction as a mediator. We are empirically test relations between work environment and employee engagement mediate by job satisfaction in a national private bank in Indonesia.

The data from questionnaires on job satisfaction, work environment and employee engagement collected from s survey that we received from 893 respondent via online. The structural model is based on four construct, which tested using structural equation modelling (SEM) using IBM SPSS v25 and IBM AMOS v24.

An increase in work environment both positively relates to job satisfaction and employee engagement, and it shows also that job satisfaction mediate positively significant work environment to  employee engagement.

This research confirm that job satisfaction mediate work environment to employee engagement although it is never consluce yet from prom previous research. Work environment and job satisfactin both positively and significaly impact employee engagement and these constructs may strengthen employee engagement, as well as work environment impact to strengthen job satisfaction
The Influence of Work Experience and Training on Internal Auditor Competence
Authors: Anggraeni Novita Dewi , Irawady Cahya
Published: August 2023

Kompetensi adalah kemampuan dan karakteristik yang dimiliki oleh seseorang pemangku jabatan berupa pengetahuan, keahlian, sikap dan perilaku yang diperlukan dalam melaksanakan tugas serta jabatannya. Kompetensi terbagi menjadi dua bagian yaitu kompetensi umum dan kompetensi khusus. Kompetensi umum merupakan kemampuan serta karakteristik berupa pengetahuan dan perilaku. Untuk kompetensi umum dapat diperoleh dengan melalui pendidikan formal ataupun non dan pelatihan. Kompetensi khusus merupakan kemampuan serta karakteristik berupa keahlian yang diperlukan dalam melaksanakan tugas jabatannya. Penelitian ini bertujuan untuk menguji secara simultan maupun parsial apakah terdapat pengaruh pengalaman kerja ataupun pelatihan terhadap kompetensi yang dimiliki oleh auditor internal pada Inspektorat Jenderal Kementerian, Pendidikan, Kebudayaan, Riset dan Teknologi.

Pengaruh yang diuji dalam penelitian ini adalah pengalaman kerja yang dimiliki oleh masing-masing auditor dan pelatihan yang telah diikuti oleh auditor. Populasi yang digunakan dalam penelitian ini adalah seluruh auditor di Inspektorat Jenderal Kementerian Pendidikan, Kebudayaan, Riset dan Teknologi baik dari wilayah Inspektorat I, II, III, IV dan Investigasi. Teknik pengambilan sampel melalui teknik non probability sampling dengan metode purposive sampling. Untuk mengukur besaran sampel yang akan diteliti mengggunakan rumus slovin dengan menggunakan data primer yaitu melakukan penyebaran data menggunakan kuesioner kepada masing-masing auditor selaku responden. Metode yang digunakan dalam penelitian ini adalah metode kuantitatif melalui analisis statistik deskriptif dan metode regresi linear berganda.

Hasil penelitian ini menunjukkan bahwa kompetensi auditor internal secara signifikan dipengaruhi oleh pengalaman kerja dan pelatihan baik secara parsial maupun simultan.
OVERVIEW OF COVID-19 CASES IN PREGNANCY AT THE HOSPITAL UNIVERSITAS SUMATERA UTARA, INDONESIA, WHEN THE PANDEMIC STORM HIT IN THE 2020-2022 PERIOD.
Authors: Muhammad Ernesto Azguevara Ganis Siregar Muhammad Ernesto Azguevara Ganis Siregar , Salim Siregar Henry , Panusunan Lubis Muara , Adenin Ichwanul , Lumbanraja Irwin Lamtota
Published: August 2023

Background: COVID-19 (Coronavirus 2019) is caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome-Coronavirus-2), an acute infectious disease primarily affecting the respiratory system. Data on COVID-19 exposure during pregnancy and issues associated with COVID-19 during pregnancy remain limited. This research aimed to determine the number of pregnant women infected by COVID-19, laboratory test findings of pregnant women related to COVID-19 infection, infant outcome from mother with or without COVID-19 infection and referential status for COVID-19 and non-COVID-19 pregnant women at the USU Hospital during the 2020–2022 period. Materials and Methods: This research was conducted using a descriptive method with a cross-sectional study approach using a non-probability sampling technique by collecting secondary data from COVID-19 and non-COVID-19 pregnant women at the USU Hospital during the 2020-2022 period, where 112 samples were obtained. Results: The majority of COVID-19 pregnant women and non-COVID-19 pregnant women have been identified sequentially based on Hb (11.6%-decreased vs 79.5%-normal); Ht (11.6%-decreased vs 76.8%-increased); leukocytes (11.6%-increased vs 83%-normal); thrombocytes (8.9%-normal vs 86.6%-normal); PT (9.8%-normal vs 50.9%-normal); APTT (11.6%-normal vs 87.5%-normal); D-dimer (11.6%-long vs 56.3%-long); procalcitonin (7.1%-increased vs 87.5%-normal); NLR (8%-increased vs 82.1%-normal); CRP (12.5%-increased vs 87.5%-normal) and all of the baby outcomes were non-COVID-19 and the majority of pregnant women were not referred.Conclusion: Based on the data in this study, the majority of pregnant women and babies at the USU Hospital during the 2020–2022 period were non-COVID-19 positive and with non-referral status. Laboratory findings of COVID-19 in pregnancy significantly reveals abnormalities
CCS Potential in Louisiana
Authors: Bain Graham
Published: August 2023

The rapid evolution of the carbon sequestration landscape, driven by factors such as the Inflation Reduction Act and increased demand for carbon offsetting, necessitates an efficient method for identifying economically viable opportunities. Considering CO2 capture and storage, this study presents a workflow for assessing CCUS project viability. Focusing on southern Louisiana, we identified low-cost emitters through cost calculations and paired them with nearby storage sites. A geological model of tertiary sands was developed to determine reservoir storage volumes, injectivity, storage costs, and plume migration areas using the FE/NETL CO2 Saline Storage Cost Model. We generated a risk map considering factors such as wellbore penetrations, faults, earthquakes, caprock, freshwater aquifers, and salt domes to identify areas with higher chances of costly remediation or freshwater contamination.

Our findings reveal a significant cluster of emissions in southern Louisiana with a sub $50/tonne capture breakeven, accounting for over 80 million tonnes of CO2/year. Existing and potential pipelines can connect these emitters to storage sites with capacities ranging from 17.2 to 36.8 Mt CO2/section and storage beakevens between $8.50 and $14.50/tonne. Risk assessment indicates increased risk in the northern region due to the presence of freshwater aquifers and legacy wellbore penetrations. Comprehensive understanding of CO2 storage potential along the entire value chain is essential for project success, and our proposed workflow enables holistic screening of areas for new projects, helping secure pore space before competitors and facilitating deeper modeling in low-risk areas.
Analytic Solution for Partially Completed Horizontal Wells with Simulation Validation
Authors: Wilkinson David , Bailey William J. , Bajaj Aaditya , Vasper Adam
Published: August 2023

This paper presents an inflow model for partially completed (PC) horizontal wells that is validated against a simulation benchmark with performance evaluated in terms of a normalized dimensionless productivity index (PI). The model is based on a pressure-averaged uniform flux line-source solution that builds upon the model proposed in 1991 by Goode and Wilkinson (GW) and is validated against a numerical simulation-based benchmark. The model is then subjected to a series of tests where specific inputs are allowed to diverge from the assumptions used to derive it, effectively a form of “stress test.” The rationale was to determine model accuracy when applied to wells that do not conform to the idealized well used to develop the model. Inputs “stress tested” include well inclination, asymmetric completion placement, anisotropy, and a significantly larger number of (shorter) completions, up to around 100 (compared to just three in the original GW model). In all cases, the model performed reasonably well, with divergence from the numerical benchmark quantified. However, for all tests, it was found that model accuracy was dependent on the open fraction, with accuracy increasing as the open fraction increased while model reliability became suspect when the open fraction was ≲ 0.3. Practical usage guidelines and limitations are presented along with associated input ranges and estimated divergence from benchmark. The model is thought suitable for inclined and/or undulating wells with a large number of completions—both long and short—with or without asymmetric placement in presence of anisotropy.
Genesis, Distribution, and Characterization of a Paleokarst Subsurface River System in the Tahe Area, Tarim Basin, Western China
Authors: Lyu Xinrui , Ju Binshan , Wu Xingwei , Xiao Fengying
Published: August 2023

Subsurface river systems constitute one of three major paleokarst types that make up Ordovician reservoirs in the Tahe area of the Tarim Basin. The total length of the river system is approximately 400 km, and the reserves associated with this karst type are more than 200 million tons. However, it is manifested that 47% of drilled wells have not encountered river paleokarst, while 50% of wells that have encountered river paleokarst are fully filled due to the poor understanding of the paleokarst of this region, resulting in a significant variation of production capacities. In this study, we propose a detailed data integration approach with outcrops, drilling, logging, seismic profiles, and dynamic data to delineate the complex paleokarst river system in the Tahe area. The karst geological theory with reservoir characterization is combined in particular. The workflow of clarifying the main controlling factors, architecture types, and development distribution modes of the subsurface river system is established. Fill material type, sequence of fill structure, and fill controlling factors are also revealed. A quantitative characterization method of the subsurface rivers is established adopting predictions based on seismic data and high-resolution geostatistical and geological modeling. The Ordovician reservoirs in the Tahe area comprise three paleokarst river systems with different characteristics. Karst paleogeomorphology is the main control over the overall flow direction and plane distribution of the subsurface rivers. Changes in the surface of the phreatic zone are crucial in controlling the vertical layers and scale of the rivers. The combined action of faults plays a decisive role in controlling the anastomosing pattern of the rivers. Single-branch channels, reticulated channels, and structural corridors in single-layer or multilayer styles are the main subsurface river types. Trunk channels, branch channels, hall caves, and inlets/outlets are dominant structures in the architecture of the river system. Sand-mud, breccia, and chemically precipitated materials are the most common fill types. Three typical sequences of fill structure and four spatial combination modes exist in the subsurface river system. The morphology and fill characteristics of rivers are predictable using seismic attributes, such as frequency division energy, frequency division inversion, and coherent energy gradient. 3D models are constructed by multivariate control multipoint geostatistical method, which can characterize the strong heterogeneity characteristics of subsurface river systems. This complex paleokarst system enables remarkable results for the adjustment of the reservoir development plan through quantitative characterization.
Mudan Granules for Diabetic Peripheral Neuropathy: A Systematic Review of Preclinical and Clinical Evidence
Authors: Zhou Jianlong , Zhu Lv , Li Yadi
Published: August 2023

Background
Mudan granules has been used in China to treat diabetic peripheral neuropathy (DPN), but there is a lack of systematic review of reports in this area. The aim of this systematic review was to evaluate the efficacy and safety of Mudan granules in the treatment of diabetic peripheral neuropathy.
Methods
Initial studies were searched from PubMed, Embase, Cochrane, China National Knowledge Infrastructure (CNKI), VIP database, Wanfang electronic databases. The Cochrane Risk of Bias tool was used to evaluate the risk of bias. The meta-analysis was performed by Stata 16.0 software. For dichotomous and continuous outcomes, the relative risk (RR) and standardized mean difference (SMD) with 95% confidence interval (CI) were conducted, respectively.
Results
51 randomized controlled trials (RCTs) involving 5,416 patients were included. In the meta-analysis, compared with routine treatment (RT) alone, Mudan granules plus RT reduced Toronto clinical scoring system (TCSS) score (SMD, -0.52; 95% CI, -0.66 to -0.38; P < 0.01), total symptoms score (TSS) (SMD, -1.44; 95% CI, -2.88 to -0.00; P = 0.05), serum homocysteine (Hcy) levels (SMD, -3.84; 95% CI, -5.99 to -1.70; P < 0.01), serum high sensitive C-reactive protein (hs-CRP) levels (SMD, -1.68; 95% CI, -3.29 to -0.08; P = 0.04), and improved total clinical efficacy (RR, 1.23; 95% CI, 1.19 to 1.27; P < 0.01) and serum superoxide dismutase (SOD) levels (SMD, 1.54; 95% CI, 1.13 to 1.95; P < 0.01). Besides, Mudan granules presented an adjuvant efficacy on median motor nerve conduction velocity (SMD, 1.61; 95% CI, 1.16 to 2.07), median sensory nerve conduction velocity (SMD, 1.73; 95% CI, 1.26 to 2.20), common peroneal motor nerve conduction velocity (SMD, 1.48; 95% CI, 1.10 to 1.86), common peroneal sensory nerve conduction velocity ( SMD, 1.57; 95% CI, 1.23 to 1.92), tibial motor nerve conduction velocity (SMD, 1.34; 95% CI, 0.82 to 1.87), and tibial sensory nerve conduction velocity (SMD, 1.03; 95% CI, 0.86 to 1.20). In terms of adverse events, there was no statistically significant difference between the trial group and the control group (P=0.87). Five preclinical studies were also retrieved for the study. Animal studies have shown that Mudan granules have anti-oxidative stress effects and could reduce the inflammatory response. It may improve peripheral nerve injury in diabetic rats by modulating the TLR4/MyD88/NF-κB pathway, TLR4/p38 MAPK pathway and PI3K/AKT pathway.
Conclusions
Mudan granules presented an adjuvant efficacy on patients with DPN and could improve the oxidative stress and inflammatory levels in preclinical models. However, high-quality original studies are needed to further prove the evidence.
Systematic review registration: PEROPERO (CRD42022373113)
Determination of acousto-ultrasonic wave propagation in an isotropic aluminium Al6082-T6 plate
Authors: PRASAD KUMAR SHANTANU , Jombo Gbanaibolou , Ismail Sikiru Oluwarotimi , Chen Yong Kang , Dhakal Hom Nath
Published: August 2023

The ability to guarantee reliable and damage-tolerant operation of structures is critical to their safe operation. Various non-destructive evaluation (NDE) techniques, such as ultrasonics, acoustic emission, thermography, acousto-ultrasonics (AU), among others could potentially provide a means of inspecting cracks, defects and damage responses in structures. The main aim of this study is to look into the physical problem of AU wave propagation through an isotropic plate and its analytical validation, using wave dispersion concept. The experimental investigation was conducted on aluminium Al6082-T6 alloy plate specimen. Wave propagation speed on top and bottom surfaces of the plate was investigated. The variation of the wave speed and attenuation with frequency were identified. From the results obtained experimentally, the wave dispersion was verified analytically. Interestingly, Lamb waves were discovered to be the dominating AU waves. The wave was appreciably non-dispersive in the frequency extent from 150 kHz to 1 MHz and the attenuation coefficient was increased with the frequency. This finding provides a significant breakthrough to the implementation of acousto- ultrasonics in the non- destructive testing applications, such as accessing the damage in composite structures, including wind turbine blades. AU has an active sensing mechanism, providing an edge over acoustic emission (AE) method which is a passive mode of damage sensing and detection, as external loading is needed for the damage sensing.
Research on multiaxial notch fatigue life of additively manufactured 316L considering mean stress and multiaxial stress state
Authors: Wang Wenxuan , Gong Shuai , Wang Yingyu , Zhang Xiaofan
Published: August 2023

Fatigue tests were performed on Additively Manufactured (AM) 316L steel. Then, a new energy based multiaxial notch fatigue life model was proposed, in which a virtual strain energy that can reflect the multiaxial effect of stress and the mean stress was used as the damage parameter, and a notch coefficient was used to modify the notch root damage parameter. The notch coefficient was defined as the area ratio between the normalized strain energy curves of the notch and the smooth specimen. The proposed approach was validated by the experimental data of AM 316L steel, and was compared with the theory of critical distance (TCD), as well as the local strain energy density method (SED). The results indicate that nearly 80% of the predicted data fall within the factor of 3 scatter band for the proposed method. The accuracy of the proposed method is better than the other two methods, and can be used for different notch geometries and loading paths.
PLCD3 inhibits apoptosis and promotes proliferation, invasion and migration in gastric cancer
Authors: Yu Yantao , Baral Shantanu , Sun Qiannan , Ding Jianyue , Zhang Qi , Zhao Fanyu , Gao Shuyang , Yao Qing , Yu Haoyue , Liu Bin , Wang Daorong
Published: August 2023

Gastric cancer (GC) is a heterogeneous disease whose development is accompanied by alterations in a variety of pathogenic genes. The phospholipase C Delta 3 enzyme is a member of the phospholipase C family, which controls substance transport between cells in the body. However, its role in gastric cancerhasnot been discovered. The purpose of this study was to investigate the expression and mechanism of action of PLCD3 in connection to gastric cancer. By Western blot analysis and immunohistochemistry, PLCD3 mRNA and protein expression levels were measured, with high PLCD3 expression suggesting poor prognosis. In N87 and HGC-27 cells, the silencing of PLCD3 using small interfering RNA effectively induced apoptosis and inhibited tumor cell proliferation, invasion, and migration. Conversely, overexpression ofPLCD3 using overexpressed plasmids inhibited apoptosis in AGS and BGC-823 cells and promoted proliferation, migration, and invasion. In order to investigate the underlying mechanisms, we conducted further analysis of PLCD3, which indicates that this protein is closely related to the cell cycle and EMT. Additionally, we found that overexpression of PLCD3 inhibits apoptosis and promotes the development of GC cells through JAK2/STAT3 signaling. In conclusion, PLCD3 inhibits apoptosis and promotes proliferation, invasion, and migration, which indicated that PLCD3 might serve as a therapeutic target for gastric cancer.