bluuebunny/crossref_metadata_2025_split huggingface dataset:
Pengaruh Pemberian Berbagai Konsentrasi Garam dan Frekuensi Penyiraman terhadap Pertumbuhan, Hasil, dan Kadar Flavonoid pada Tanaman Sweet Basil (Ocimum basilicum)
Authors: Saputro Agusti Ardiansyah , Armita Deffi , Nihayati Ellis 
Published: January 2023

<p>Salt stress and infrequent watering application obstruct sweet basil growth and yield. But both condition can increase flavonoid production. The aim of this research is to get tolerant level of sweet basil plant on various salt concentration and watering frequency with several parameters consists of growth, yields, and flavonoid contents. The research was conducted from October 2021-January 2022 at the greenhouse of Petahunan Village, Pasuruan City. The method used was a factorial of randomized block design with various watering frequency consisist of once a day (W0), once on two days (W1), and once on three days (W2). Various salt concentration consists of 0 ppm (N0), 1000 ppm (N1), 2000 ppm (N2), 3000 ppm (N3), and 4000 ppm (N4). There is an interaction between saline medium and infrequence watering, whenever with more watering can decrease saline effect on plant primary metabolism. Interaction betweet saline medium and infrequence watering inhibit plant vegetative growth. But saline that interaction can improve sweet basil yields such us flowers, seeds, and also flavonoid contents on leaves. The research conclusion is that interaction between saline medium and infrequence watering obstructed vegetative growth, but increase yields and flavonoid contents.</p>
Pengaruh Praktik Kewirausahaan terhadap Motivasi Berwirausaha Peserta Didik
Authors: Kartika Yuni , Sumartono Bambang Genjik , Syamsuri Syamsuri 
Published: January 2023

Menanamkan motivasi berwirausaha bagi peserta didik menjadi hal penting dimana memanfaatkan peran praktik kewirausahaan di Sekolah dalam menciptakan banyak wirausahawan muda dimasa mendatang. Tujuan penelitian ini adalah untuk melihat bagaimana praktik kewirausahaan dan motivasi berwirausaha peserta didik kelas XII Akuntansi SMK Negeri 7 Pontianak, serta seberapa besar pengaruh praktik kewirausahaan terhadap motivasi berwirausaha peserta didik kelas XII Akuntansi SMK Negeri 7 Pontianak. Pendekatan penelitian yang digunakan adalah pendekatan kuantitatif dengan metode korelasional. Riset ini mengambil 64 peserta didik sebagai partisipan penelitian. Analisis data yang digunakan yaitu statistik deskriptif dan regresi linier sederhana. Temuan penelitian menunjukkan bahwa: hasil praktik kewirausahaan termasuk dalam kategori sangat tinggi dengan persentase 86,03%, motivasi berwirausaha peserta didik kelas XII Akuntansi termasuk sangat tinggi dengan persentase 86,25%, dan praktik kewirausahaan berpengaruh signifikan terhadap motivasi berwirausaha peserta didik kelas XII Akuntansi SMK Negeri 7 Pontianak dengan besaran pengaruh sebesar 35,2 % sedangkan sisanya dipengaruhi oleh variabel yang belum diteliti misalnya kurikulum, model pembelajaran kewirausahaan dan lingkungan keluarga dan menjadi rekomendasi bagi peneliti selanjutnya untuk mengkajinya.
AI in Hydraulic Fracturing: The Journey from Guessing to Certainty
Authors: Machado Thiago , Mohammed Adnan 
Published: January 2023

Abstract
The growth in hydrocarbon extraction from shale basins has come with a set of challenges in doing so efficiently, safely and in an economically viable manner. The emergence of practices like Continuous Frac and Simul-Frac have become commonplace as operators continue to drive efficiency up, further increasing the frequency and complexity of decision-making throughout the job. Thus the impact of incorrect or non-timely decisions is accentuated, with unplanned downtime caused by unexpected equipment failure or human mistakes among the top reasons of Non-Productive Time. Hydraulic fracturing processes in North America have progressed majorly since its inception from a process once predominantly dependent upon human intervention towards more human-assisted automated operation.
In this paper, the authors have investigated the potential for providing AI-enabled assistance for the regular operational tasks as the solution for providing high centainty data-supported insights to support decision-making. Specifically, we looked at providing early alerts of probable equipment failures and flagging up process inefficiencies, or deviations, that may be subsequently addressed to further improve performance. We show the steps taken by authors and internal teams to successfully develop and deploy a digital control and assistant system within its hydraulic fracturing equipment offering that enables a shift from direct manual to semi- and fully autonomous operation, from reactive to a proactive approach to maintenance and failure prevention, all which in turn have resulted in prolonged operational life and efficiency of equipment, thus reducing Non-Productive Time.
A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction
Authors: Keshavarz Sahar , Vita Petr , Rueckert Elmar , Ortner Ronald , Thonhauser Gerhard 
Published: January 2023

AbstractThe drilling industry is permanently seeking to reduce operational costs by improving the efficiency of the drilling process. The complexity and uncertainty of the drilling process and limited information during the well construction lead to difficulty in applying standard control methods and detecting and monitoring the actual ongoing state of the operation. All these represent challenges in order to achieve a fully autonomous drilling sequence.An autonomous decision-making framework for a systematic plan update based on the current well construction status and available surface and downhole information is presented. The primary objective, minimization of the time to reach the total depth (TD) of a well, has to be fulfilled in multi-level finite operational horizons within the next few minutes up to the TD while keeping associated short- and long-term risks at acceptable levels. The problem is represented as a mathematical description called Markov Decision Process (MDP) defining the ongoing rig state, operational actions, and policies.The methodology has been implemented on a wait-to-slip hole conditioning operation to demonstrate the viability of the approach using surface sensor information. The value of states is estimated by performing infinite state-action transition evaluations, a method of Reinforcement Learning, to prescribe the best possible set of actions to commit to the combined reward and penalty objectives. In the context of this research, the environment dynamic has been assumed to be fully known to apply Dynamic Programming approaches. The sensitivity analysis was performed confirming the selection of model parameters. The results show the potential for reducing non-necessary operation activities.The paper presents a novel method for well construction operation planning that connects decision-making over multi-level operation levels. The proper design of such a system is an essential step toward a fully automatized well construction decision-making system.
Enhancing Drilling Operations Through Edge Analytics: Evaluation of IIoT Architecture for Remote Rig Automation
Authors: Saghir Fahd , Qais Tariq , Malibari Maher , Alaas Yusef 
Published: January 2023

Abstract
As Oil and Gas operators look to make their Drilling Operations more safe, reliable, and efficient, they now have the option of leveraging Edge Analytics for solving diverse technical, human, and business challenges experienced at a rig site. Reliable and high-speed data connectivity is a major challenge at rig sites as most drilling operations are conducted in remote locations; therefore, Edge Analytics based solutions provide operators with the opportunity to deploy state-of-the-art technologies such as Robotics, Unmanned Aerial Vehicles (UAV), Machine Vision and real-time Artificial Intelligence applications. However, with limited data connectivity options, and restriction of hosting confidential data on cloud platforms, the traditional cloud based Industrial Internet of Things (IIoT) architectures are not feasible for many global operators.
In this paper we will discuss the various challenges and opportunities for deploying Edge Analytics at rig sites and investigate variations of traditional IIoT architectures that can be adapted to remote Drilling Operations. Specifically, we will discuss non-cloud-based architectures and applications that can be deployed and managed over a hybrid communication architecture that is not dependent on a cloud platform.
Cell-based assays for potential prognostic biomarkers in PDAC
Authors: Hyeon Do Young , Nam Dowoon , Han Youngmin , Kim Duk Ki , Kim Gibeom , Kim Daeun , Bae Jingi , Back Seunghoon , Mun Dong-Gi , Madar Inamul Hasan , Lee Hangyeore , Kim Su-Jin , Kim Hokeun , Hyun Sangyeop , Kim Chang Rok , Choi Seon Ah , Kim Yong Ryoul , Jeong Juhee , Jeon Suwan , Choo Yeon Woong , Lee Kyung Bun , Kwon Wooil , Choi Seunghyuk , Goo Taewan , Park Taesung , Suh Young-Ah , Kim Hongbeom , Ku Ja-Lok , Kim Min-Sik , Paek Eunok , Park Daechan , Jung Keehoon , Baek Sung Hee , Jang Jin-Young , Hwang Daehee , Lee Sang-Won 
Published: January 2023

Abstract
The associated publication reports proteogenomic analysis of human pancreatic ductal adenocarcinoma (PDAC), where we provided significantly mutated genes (SMGs)/biomarkers, cellular pathways, and cell types as potential therapeutic targets to improve stratification of patients with PDAC. This protocol describes the detailed methods for cell-based assays for potential prognostic biomarkers in PDAC, including cell culture, viral transduction, and cell-based assays.
Assays for orthotopic PDAC mouse models
Authors: Hyeon Do Young , Nam Dowoon , Han Youngmin , Kim Duk Ki , Kim Gibeom , Kim Daeun , Bae Jingi , Back Seunghoon , Mun Dong-Gi , Madar Inamul Hasan , Lee Hangyeore , Kim Su-Jin , Kim Hokeun , Hyun Sangyeop , Kim Chang Rok , Choi Seon Ah , Kim Yong Ryoul , Jeong Juhee , Jeon Suwan , Choo Yeon Woong , Lee Kyung Bun , Kwon Wooil , Choi Seunghyuk , Goo Taewan , Park Taesung , Suh Young-Ah , Kim Hongbeom , Ku Ja-Lok , Kim Min-Sik , Paek Eunok , Park Daechan , Jung Keehoon , Baek Sung Hee , Jang Jin-Young , Hwang Daehee , Lee Sang-Won 
Published: January 2023

Abstract
The associated publication reports proteogenomic analysis of human pancreatic ductal adenocarcinoma (PDAC), where we provided significantly mutated genes (SMGs)/biomarkers, cellular pathways, and cell types as potential therapeutic targets to improve stratification of patients with PDAC. This protocol describes the detailed methods for assays for orthotopic PDAC mouse models, including mouse tumour tissue processing, ultrasound imaging, Masson-trichrome staining, and IHC analysis for immune cell markers.
Reconstructing human somitogenesis with somitoid and segmentoid
Authors: Miao Yuchuan , Pourquié Olivier 
Published: January 2023

Abstract
The metameric organization of vertebrates is first implemented when somites, which contain the precursors of skeletal muscles and vertebrae, are rhythmically generated from the presomitic mesoderm1. This process of somitogenesis is vital for body plan development2, yet very little is known about human somitogenesis given limited access to early embryos and ethical concerns. Here we develop two novel 3D culture systems of human pluripotent stem cells (PSCs), called somitoids and segmentoids, which can recapitulate the formation of epithelial somite-like structures3. In contrast to gastruloids4,5 or trunk-like structures6 which harbor cell lineages derived from the three germ layers, our two models contain almost exclusively paraxial mesoderm. Somitoids recapitulate the temporal sequence of somitogenesis, with all cells undergoing differentiation and morphogenesis in a synchronous manner. This system can provide unlimited amounts of cells precisely synchronized in their differentiation and will allow exploring these patterning processes at an unprecedented level of detail. On the other hand, segmentoids reconstruct the spatio-temporal features of somitogenesis, including gene expression dynamics, tissue elongation, sequential somite morphogenesis, and AP polarity patterning. They therefore provide an excellent proxy to study human somitogenesis. Together, these two complementary models provide a valuable platform to decode general principles of somitogenesis and advance knowledge of human development.
A New Algorithm for Secure Data Communication by Extension of Key-space Dimension
Authors: UNIYAL NITIN 
Published: January 2023

Abstract

The heavy dependency of cryptography methods on mathematical theory and computational science necessitates the designing of a computationally secure cryptographic algorithm which is hard to break by an adversary. Matrix methods are intensively used in cryptography for their robustness and adaptability in the encryption of long messages but time complexity is a big concern while dealing with matrices of volumetric size. Further, the key generation function may limit the size of key domain which compromises the perfect security. Our work addresses these hindrances in priority to give an algorithm which is perfectly secure. This work contributes towards the matrix methods in cryptography; the two main attributes of a secured communication namely, true randomness of key selection and a liberty to extend the dimension of key space.
Environmental risk assessment of petrogenic hydrocarbon spills in mangrove ecosystems: the Tumaco case study as a baseline, Colombian Pacific
Authors: Ríos-Mármol Mary , Daniel-Hincapié Inger , Vivas-Aguas Lizbeth-Janet , Romero-D’Achiardi Diana , Espinosa-Díaz Luisa , Canals Miquel , Garcés-Ordóñez Ostin 
Published: January 2023

Abstract

Petrogenic hydrocarbon spills (PHS) are harmful to mangrove ecosystems along tropical coastlines both in the short and long term. The aim of this study was to assess the environmental risk of recurrent PHS on mangrove ecosystems in Tumaco municipality, Colombian Pacific. Mangrove characteristics and management aspects led to subdividing the entire the study into 11 units-of-analysis (UA) for which threats, vulnerability, potential impacts, and risks were assessed based on environmental factors and the formulation and use of indicators in a rating scale with five categories, which are very low, low, moderate, high, and very high. The results showed that all UAs are highly (64%) or moderately (36%) threatened by PHS, highly (45%) or moderately (55%) vulnerable to this kind of pollution, and susceptible of high (73%) or moderate (27%) potential impacts. Environmental risk was high in 73% of the UAs, indicating likely irreversible damage to mangrove ecosystems by PHS, thus pointing to the need of urgent intervention by responsible authorities to ease their recovery and conservation. The methodology and results of this study become technical inputs that serve for environmental control and monitoring, which can be incorporated into contingency and risk management plans.
Cell-Specific Effects of Temporal Interference Stimulation on Cortical Function
Authors: Martinez Sara Caldas , Goswami Chaitanya , Forssell Mats , Cao Jiaming , Barth Alison , Grover Pulkit 
Published: January 2023

Abstract

Temporal interference (TI) stimulation is gaining tremendous interest as a non-invasive neurostimulation breakthrough. The observation is striking: pure sinusoid (generated in shallow brain regions) appears to cause no stimulation, whereas modulated sinusoid (generated in deeper brain regions) does. To understand its effects and mechanisms, we examine responses of different cell-types, excitatory pyramidal (Pyr) and inhibitory parvalbumin (PV) expressing neurons, to pure and modulated sinusoids, in intact network as well as in isolation. In intact network,
we present data showing that PV neurons are much less likely than
Pyr neurons to exhibit TI stimulation. Remarkably, in isolation, our data shows that almost all Pyr neurons stop exhibiting TI stimulation. We conclude that TI stimulation is largely a network phenomenon. Indeed, PV neurons have a substantially higher firing rate with pure 038 sinusoid (shallow brain) than with modulated sinusoid (deep brain), suggesting that in shallow regions, inhibitory PV neurons actively reduce firing of excitatory Pyr neurons. Additionally, we use computational models to study the (rare) neurons that do exhibit TI stimulation in isolation and observe that this can be explained by an integral-control based high-frequency current balance in the neural ion currents.
Intraoperative Frozen Section Margin Positive in Breast-Conserving Surgery; Current Status and Ways to Reduce It.
Authors: LEE JIN , Ko Beom Seok , Yoo Tae-Kyung , Lee Sae Byul , Kim Jisun , Chung Il Yong , Kim Hee Jeong , Lee Jong Won , Son Byung Ho 
Published: January 2023

Abstract
Purpose
There have been many analyzes of permanent resection margin (PM) in breast conserving surgery (BCS) but few studies have organized the data of intraoperative frozen section margin (FM). We were aimed to focus more on FM and organize the data including FM.
Methods
A single center, retrospective study was conducted. The electronic medical records of the patients who underwent BCS for breast cancer between January 2015 and December 2015 in Asan Medical Center were reviewed. We investigated the rate of positive FM and the difference in operation time according to the result of FM. Also, we analyzed various patient and tumor related factors which can affect the result of resection margin (RM) including FM.
Results
1,110 patients were included in the analysis. FM evaluation was done in 56.5% (627/1110). The rate of positive FM was 12.4% (78/627). The operation time was significantly longer when additional resection was done for positive FM (112.7 ± 32.6 min vs 74.7 ± 22.9 min, p < .001). By univariate analysis, multiplicity, non-mass enhancement (NME) on magnetic resonance imaging (MRI), maximum diameter on MRI, T3, N2-3, invasive lobular carcinoma (ILC), presence of extensive intraductal component (EIC) and presence of ductal carcinoma in situ (DCIS) were factors significantly associated with the result of RM while after multivariate analysis, multiplicity, ILC and presence of EIC showed statistical significance.
Conclusions
The operation time was significantly longer when additional resection was done for positive FM. Further data collection and organization is needed for standardized predictive tool for FM.
The relationship between D- dimer and vaccination of COVID19
Authors: Faris Nawal 
Published: January 2023

Abstract
Introduction: COVID - 19 viruses are responsible for endemic respiratory tract infection in the wide world. Following vaccination with the nCoV-19 vaccine, however, cases of thrombosis and thrombocytopenia, to detect these cases D-dimer test should be done.
Aims: this study aims to detect the relation between D- dimer and vaccination of COVID19
Methods: This study that done by vaccinated patients from the special labs in Amman the capital of Jordan between January 2022 to October 2022 using PCR tests for detecting the virus. XL-FDP level estimated by using Atlas D-Dimer Latex Kit (Atlas Medical, Cowley Rd, Cambridge) Following manufacturing instruction.
Discussion/Conclusion. We conclude that the vaccinated COVID-19 patients suffer from elevated baseline D-dimer. thrombosis can occur in different organs, leading to organ failure in serious COVID-19 cases.
Hydroxylation-Inducing the Coupled Dual-Centers in Highly Amorphized Ni0.76Mo1.24/Mo2N Nanoarrays with Superior Alkaline Hydrogen Evolution
Authors: Jia Huanli , Wang Haiyan , Su Xiaofang , Zhang Hucheng , Yan Fangfang , Li Ze , Wang Jianji 
Published: January 2023

Abstract
The site-blocking effect (SBE) of nonelectro-chemical steps (nonECS) gives the sluggish kinetics in alkaline hydrogen evolution reaction (HER), but remains rather challenging in electrocatalysis. Herein, we explored nonECS on the highly amorphized NiMoN/NC(500-R) nanoarrays, in which Ni0.76Mo1.24 and Mo2N with the crystallinity of only 13.3% were embedded into nitrogen-rich derived carbons (NC) at 500oC, then followed by electrochemical surface reconstruction. The amorphization and hydroxylation induce the coupled dual-centers of Ni-Mo species to circumvent SBE through separating H*- and H2-involved elementary steps from nonECS, and deliver efficient transfer of individual species and heavy charge accumulation to actuate the whole HER. Resultantly, the exceptional catalytic activity is demonstrated by ultra-low overpotentials of 5.8 and 200.6mV at 10 and 1000mA cm-2, respectively. Importantly, NiMoN/NC(500-R) survive in lasting alkaline HER for 50 days at 500mA cm-2 almost without degeneration. This work presents the key to get rid of SBE in electrocatalysis, and the inspiration to rationally design the amorphized nanoarrays of electrocatalysts.
Effect of aerobic exercise on brain metabolite profiles in mice models of methamphetamine addiction: LC-MS-based metabolomics study
Authors: Xu Jisheng , Li Xue , Zhu Zhicheng , Jin Yu , Wei Changlin , Wang Yi 
Published: January 2023

Abstract
In recent years, an increasing number of studies have used metabolomics techniques to uncover the underlying mechanisms of diseases, including substance abuse. Although physical exercise has been considered as a potential treatment for methamphetamine (MA) abuse, there is still a lack of studies regarding exercise modulating the metabolic profile of the brain following MA use. This untargeted metabolomics study, based on liquid chromatography-mass spectrometry (LC-MS), investigated the effects of aerobic exercise on MA-induced metabolism in mice brain. We found that 2 weeks of treadmill training modulates MA-induced metabolic disturbances in the brain. Among these metabolites, 129 metabolites with significant differences were identified under MA induction, and 32 metabolites were significantly affected by exercise. The relevant differential metabolites were mainly enriched in glycerophospholipid metabolism, steroid hormone biosynthesis and degradation, and renin-angiotensin system pathways. To our knowledge, this is the first study to use LC-MS approach to explore the effects of aerobic exercise on MA-induced metabolic profiles in the brain. The findings of this study provide new insights into exercise therapy for MA use.