bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mathematical modeling of selective dissolution of AISI 304 steel in circulating chloride-containing waters during operation of heat exchangers
Authors: Narivskii А. , Pulina Т. , Subbotin S. 
Published: February 2022

Purpose. Investigation of the effect of chloride-containing medium, chemical composition and structural heterogeneity of AiSi304 steel on selective dissolution of metals ΔCr, ΔNi and ΔFe from stable pits.
Research methods. X-ray structural analysis, optical microscopy, energy dispersive microanalysis, analysis of the developed linear regression mathematical models of the second order for corrosion losses of metals from pits.
Results. Based on the analysis of the developed linear regression mathematical models of the second order for corrosion losses of metals from pits, it was found that ΔFe from pits on the surface of AISI 304 steel in model circulating water with pH = 4...8 and chloride concentration of 300 and 600 mg / l decrease with an increase in it. the amount of oxides (1.98...3.95 microns), the average diameter of the austenite grain and increase when the average distance between the oxides and the volume of b- ferite in steel increases. It is proved that ΔNi from pits decreases with an increase in the amount of oxides in steel (1.98...3.95 μm), the volume of b- ferite and a decrease in the average diameter of austenite grain.
It was determined that ΔCr of steel from pits mainly depends on the concentration of chlorides in the model circulating water, the amount of oxides (1.98 ... 3.95 μm), the average diameter of the austetin grain and the volume of b-ferite. It is hypothesized that this is due to the intensity of adsorption of chlorine ions on imperfections in the structure of AISI304 steel near these oxides at the intersection with the grain boundaries of austenite, where pits nucleate and grow.
Scientific novelty. It was established for the first time that the coefficient of selective dissolution of Cr from pits on the surface of AISI 304 (ZCr ) steel in the circulating waters of the river decreases with an increase in the volume of b-ferite in the steel, the average diameter of austenite grain and a decrease in the amount of oxides. This can facilitate the transition of metastable pits to stable ones. Moreover, this process is autocatalytic; therefore, it does not depend on the parameters of the model circulating water.
Statement of tasks. Based on the established features of selective dissolution of ΔCr, ΔNi and ΔFe from pits on the surface of AISI304 steel, to study the effect of its plastic defermation on pitting resistance in chloride-containing model circulating waters.
Practical value. The developed mathematical models are used to assess the pitting resistance of AISI304 steel in model circulating waters, depending on its parameters and the environment where heat exchangers made of this steel operate.
Reversible myocarditis following Black widow spider (Latrodectus spp.) bite in Egypt
Authors: Emara Ahmed G , Aboshady Abdel-Rhman A , Aboshady Omar A , Shawqi Mohamed M 
Published: February 2022

Black widow spiders (BWSs) are poisonous spiders of the Arthropoda phylum that live in the Mediterranean region. The effects of BWS bites ranges from local damage to systemic manifestations including paresthesia, stiffness, abdominal cramps, nausea, vomiting, headache, anxiety, hypertension, and tachycardia. However, cardiac involvement following a BWS bite is uncommon. We report a 35-year-old man who developed acute pulmonary edema with electrocardiogram changes that showed ST elevation in leads I, aVL with reciprocal ST segment depression in infero-lateral leads with elevated cardiac biomarkers. Echocardiography showed regional wall motion abnormalities with an impaired ejection fraction of 40%. The condition was reversible after one week of supportive treatment, and the patient was discharged from the hospital with normal electrocardiogram, ejection fraction, and negative cardiac markers. A routine cardiac evaluation, serial ECG, serial cardiac markers, and echocardiography follow-up should be considered for any patient exposed to a BWS bite for detection of any potentially fatal cardiac abnormalities.
Keywords: Black widow spider; Egypt; Spider bites; Myocarditis; Heart failure; Kounis syndrome; Acute coronary syndrome.
The dilemma of a Startup
Authors: Anand Kritiika , Sonowal Paraz , Saini Vaibhav , Pillai Vignesh , Nagdeve Shruti S. 
Published: February 2022

Purpose: This research paper attempts to address the dilemma of when is the right time and the right skills that are important to start an architectural practice. This study is important to address this recurring question, which most architecture graduates face but cannot get answers to.
Methodology: The research started with a literature review followed by semi-structured interviews and questionnaires to better understand the parameters and factors involved that can affect an individual’s decision. The data collection was done using a general as well as a targeted questionnaire and pilot interviews. The importance of these parameters and some of the essential skills and prerequisites for establishing a successful startup were identified, analyzed, and further substantiated with the learnings from the interviews.
Main Findings: The research findings suggest that it is advisable for a graduate to ideally gain a work experience of three years to acquire the necessary skills that can aid them in successfully starting their own practice.
Implication: For many architects, starting their own firm is a dream. Working for yourself on the projects you want to do, and the power to make your own creative decisions is a major driving factor that pushes architects to want to open their own firm. But it is important to understand whether this statement is true or not and whether a person effectively gets that much freedom in a startup? The paper tries to answer all these questions.
​​Factors Affecting Serum Trace Elements of Breeding Ewes in Central Saudi Arabia
Authors: Derar D.R. , Ali A. , Almundarij T.I. , Abdel-Elmoniem E.M. , Alhassun T.M. 
Published: February 2022

Background: Trace elements are indispensible for animal production and reproduction. Their requirements rely on many factors. Some of these factors have been studied in earlier reports but still other factors under investigation. The aim of the present study was to investigate factors affecting the level of manganese (Mn), selenium (Se), iron (Fe) and zinc (Zn) of sheep in Qassim Region, Central Saudi Arabia. Methods: Total of 131 clinically healthy and non-pregnant ewes were assigned for this study. Ewes were classified according to breed, parity, body condition score, housing system and feeding type. The animals were bled immediately after examination and sera were analyzed for trace elements using spectrometry. Result: Results showed that Awassi breed had higher Se, Fe and Zn levels than other breeds. Parity affected Se and Fe levels. Age, body condition score and parity affected Zn concentration. It can be concluded that breed, parity, age, body condition score, housing and feeding type could affect the level of serum trace elements in breeding ewes in central Saudi Arabia.
Dampak Penyebaran Hadis Lemah dan Palsu dalam Tatanan Kehidupan Bermasyarakat
Authors: Sari Marlina Ratna 
Published: February 2022

Abstract

Hadith is the source of the second law of Islam. To be functioned as bayan (explanatory) of the Qur'an and at the same time as a guideline, he must undergo a selection process called hadith keshahihan test or hadith criticism test. This neglect of critical attitudes in turn causes the number of hadiths dhaif (weak hadith) and hadith mawdhu ' (false hadith) spread in the community. Among the groups responsible for the spread of these hadiths are the da'i (khatib and muballigh) who do not equip themselves with adequate mastery of hadith science, where they tend to cite hadiths not from the original sources (the book of hadith mu'tabar). In turn, the result of the phenomenon of the spread of hadith dhaif and mawdhu' itself is the spread of heresy behavior and neglect of the Sunnah of the Prophet.

Keywords: Authentication of Hadith, Hadith Dhaif, Hadith Mawdhu'

Abstrak

Hadis adalah sumber hukum kedua agama Islam. Untuk dapat difungsikan sebagai bayan (penjelas) al-Qur’an dan sekaligus sebagai pedoman, ia harus menjalani proses seleksi yang disebut dengan uji keshahihan hadis atau uji kritik hadis. Pengabaian terhadap sikap kritis inilah yang pada gilirannya menyebabkan banyaknya hadis dhaif (hadis lemah) dan hadis mawdhu’ (hadis palsu) tersebar di tengah masyarakat. Di antara kelompok yang bertanggung jawab terhadap penyebaran hadis-hadis ini adalah para da’i (khatib dan muballigh) yang tidak melengkapi diri dengan penguasaan ilmu hadis yang memadai, dimana mereka cenderung mengutip hadis tidak dari sumber-sumber aslinya (kitab hadis mu’tabar). Pada gilirannya, akibat dari fenomena penyebaran hadis dhaif dan mawdhu’ sendiri adalah merebaknya perilaku bid’ah dan pengabaian sunnah Nabi.

Keywords: Uji Keshahihan Hadis, Hadis Dhaif, Hadis Mawdhu’
REAKSI PASAR ATAS PENGUNGKAPAN KEPATUHAN SYARIAH TERHADAP SAHAM PERUSAHAAN PADA INDEKS SAHAM SYARIAH INDONESIA
Authors: Kurniati Ellysa , Pramono Sigid Eko , Anwar Saiful 
Published: February 2022

Penelitian ini bertujuan untuk mengetahui reaksi pasar atas informasi kepatuhan syariah diperoleh melalui pengumuman perubahan komposisi saham dalam penghitungan Indeks Saham Syariah Indonesia tanggal sejak tahun 2011 hingga tahun 2019 terhadap emiten yang memenuhi dan tidak memenuhi aspek kepatuhan syariah. Informasi kepatuhan syariah ini. Dengan menggunakan metodologi event study (studi peristiwa), penelitian ini menunjukkan bahwa sekitar 86% atau 12 dari 14 pengujian reaksi pasar atas pengungkapan kepatuhan syariah pada pengumuman perubahan komposisi saham dalam penghitungan ISSI, yang artinya terdapat reaksi pasar yang positif terhadap saham perusahaan yang patuh syariah sebesar 86% dari seluruh pengujian yang tersedia. Masuknya perusahaan ke dalam Indeks Saham Syariah Indonesia dianggap sebagai sinyal positif oleh para investor, terutama bagi investor ritel dan manajer investasi yang mengkhususkan diri atau hanya fokus untuk menyalurkan dananya pada produk yang memenuhi aspek syariah saja. Sinyal positif ini kemudian disikapi dengan melakukan pembelian atas saham-saham patuh syariah tersebut.
Kata Kunci: pengumuman ISSI, kepatuhan syariah, reaksi pasar
Patent law and innovations of the Polish economy: Analysis of the current situation and recommendations for the future
Authors: Karpińska Kinga , Protasiewicz Anna 
Published: February 2022

One of the key elements of modern economies is their innovation, measured in many ways. The measures of innovation most often include R&D expenditure (expenditure side) and patents (effects side). Undoubtedly, the level of expenditure on research activities is important, but the true picture of an innovative economy is provided by the side of the achieved results, i.e. patents. The purpose of the article is to analyze the impact of patent law (organizational, financial, and legal conditions, and thus the number of filed and patented solutions) on the level of innovativeness on the example of the Polish economy. The analysis was based on a review of domestic and foreign literature and legal acts on patent protection at the national, regional (European) and international levels on the one hand, and innovation in Poland and European countries on the other. To assess the level of innovativeness data from the Global Innovation Index, the Central Statistical Office (GUS) and the European Innovation Scoreboard were used. Comparison of these data made it possible to articulate several conclusions. First, patent law is considered too complex and unclear for research applicants. Moreover, the awareness of patent applicants in Poland is still quite low, especially if the entity is a small enterprise. An undoubted barriers to the patent activity are also the costs that must be borne during the entire patent procedure and the waiting time for the procedure to be completed. Future research should focus on surveying businesses in Poland about their views on patent law and possible changes to improve its operation, allowing for a more detailed analysis of the issue.
Analysis of Patterns for Inheritance Dispute Settlement in the Tradition of Sasak Community in Lombok
Authors: Haji munir Zainal Arifin 
Published: February 2022

There are several ways conducted by Muslims in solving the problem of inheritance division in Lombok. This article aimed at looking at several patterns of inheritance dispute resolution in the Lombok people tradition (Sasak community. It is derived from qualitative field research by using both theoretical and empirical legal approaches. The data was obtained using observation, interview, and documentation techniques. Lombok people often postpone dividing the inheritance, which eventually causes problems. According to Lombok customary law, postponing inheritance is carried out due to several cultural factors, i.e.: the existence of the parent (either father or mother), the existence of the heirs, and the condition of the heirs. Apart from these factors, several consequences arise including loss of ownership rights, changes in inheritance portion, loss of inheritance rights, vulnerability to manipulation, and triggering family conflicts. The results indicate that: first, the inheritance land division is conducted in different ways such as grants, discussion, and faraid. Second, factors influencing the land dispute cases are greed and lack of information about the inheritance legal system. Third, revitalization is important because it is ruled out in Islamic teachings and is considered absolute for Islam society. This research concludes that the Islamic Inheritance legal system is the proper method to settle land disputes in the Sasak community.
Keywords: Islamic inheritance, postponing inheritance, settlement of inheritance disputes.
A Physics-Constrained Data-Driven Workflow for Predicting Coalbed Methane Well Production Using Artificial Neural Network
Authors: Yang Ruiyue , Qin Xiaozhou , Liu Wei , Huang Zhongwei , Shi Yu , Pang Zhaoyu , Zhang Yiqun , Li Jingbin , Wang Tianyu 
Published: February 2022

Summary
Coalbed methane (CBM) has emerged as one of the clean unconventional resources to supplement the rising demand of oil and gas. Analyzing and predicting CBM production performance are critical in choosing the optimal completion methods and parameters. However, the conventional numerical simulation has challenges of complicated gridding issues and expensive computational costs. The huge amount of available production data that has been collected in the field site opens up a new opportunity to develop data-driven approaches in predicting the production rate. Here, we proposed a novel physics-constrained data-driven workflow to effectively forecast the CBM productivity based on a gated recurrent unit (GRU) and multilayer perceptron (MLP) combined neural network (GRU-MLP model). The model architecture is optimized automatically by the multiobjective algorithm: nondominated sorting genetic algorithm Ⅱ (NSGA Ⅱ). The proposed framework was used to predict gas and water production in synthetic cases with various fracture-network-complexity/connectivity and two multistage fractured horizontal wells in field sites located at Ordos Basin and Qinshui Basin, China. The results indicated that the proposed GRU-MLP combined neural network was able to accurately and stably predict the production performance of CBM fractured wells in a fast manner. Compared with recurrent neural network (RNN), GRU, and long short-term memory (LSTM), the proposed GRU-MLP had the highest accuracy, stability, and generalization, especially in the peak or trough and late-time production periods, because it could capture the production-variation trends precisely under the static and dynamic physical constraints. Consequently, a physics-constrained data-driven approach performed better than a pure data-driven method. Moreover, the contributions of constraints affecting the model prediction performance were clarified, which could provide insights for the practicing engineers to choose which categorical constraints are needed to focus on and preferentially treated if there are uncertainties and unknowns in a realistic reservoir. In addition, the optimum GRU-MLP model architecture was a group of optimized solutions, rather than a single solution. Engineers can evaluate the tradeoffs within this optimal set according to the field-site requirements. This study provides a novel machine learning approach based on a GRU-MLP combined neural network to estimate production performances in naturally fractured reservoir. The method is gridless and simple, but is capable of predicting the productivity in a computational cost-effective way. The key findings of this work are expected to provide a theoretical guidance for the intelligent development in oil and gas industry.
Improved Enhanced Oil Recovery Polymer Selection Using Field-Flow Fractionation
Authors: Steindl Johannes , Hincapie Rafael E. , Borovina Ante , Puls Christoph , Badstoeber Johann , Heinzmann Gerhard , Clemens Torsten 
Published: February 2022

Summary
Various polyacrylamide polymers have been successfully applied in chemical enhanced oil recovery (EOR) projects. These polymers are characterized by high molecular weights (MWs) to achieve high viscosifying power. The selection of polymers for chemical EOR is a crucial step in the field testing and implementation of such EOR projects. The reason is that per-pattern operating expenditures (OPEX) are one of the sensitive cost drivers for such projects. The important parameters for the selection of polymers are the filtration ratio, viscosifying power, polymer retention, and stability of the polymers at reservoir conditions.
The MW distribution (MWD) of the polymers has a major impact on polymer properties and performance. Measuring the MWD is challenging using conventional methods. Field-flow fractionation (FFF) enables the determination of the distribution to select and quality check various polymers. Multiangle light scattering (MALS) was used as the main detector. Polymers with high MWs (&gt;1 MDa) are used for EOR to obtain highly viscous aqueous solutions. The MWD of the polymers is crucial for the solution characteristics. Conventional analysis of polymers is performed using either viscometry, which is able to determine the average MW but does not give information on MWD, or size-exclusion chromatography (SEC), which is restricted to MWs of &lt;20 MDa. FFF is based on the analytes flowing at different speeds in a channel-dependent on their size and mass. This effect leads to separation, which is then used to determine the MWD.
FFF allows determining the MW and MWD of various ultrahigh MW polyacrylamides (HPAAMs). The FFF measurements showed that, despite similar MWs being claimed, substantial differences in MWD are observed. This technology allowed the quantification of the MWD of HPAAMs up to an MW of 5 GDa. Furthermore, gyration radii of the HPAAM molecules were determined. Selecting polymers on viscosifying power only is not addressing issues related to different MWs and MWDs such as selective polymer retention and degradation of the high molar mass part of the distribution. The results were used to improve the polymer selection for chemical EOR projects. In addition to viscosifying power and price, also the MWD and changes of the MWD in the porous medium are considered in the selection of the polymer.
Overall, this work presents a new technique for the analysis of ultrahigh MW EOR polymers, which enables the possibility to determine the full range of polymer MWDs. This available information enhances the EOR polymer selection process addressing selective polymer retention and mechanical degradation in addition to the viscosifying power of polymers.
A Time Series Forecasting Model Selection Framework Using CNN and Data Augmentation for Small Sample Data
Authors: Jiang Wentao , Ling Liwen , Zhang Dabin , Lin Ruibin , Zeng Liling 
Published: February 2022

Abstract
The key to the accuracy of time series forecasting is to find the most appropriate forecasting method. Therefore, the forecasting model selection of time series has become a new research hotspot in the data analysis field. However, most of the existing forecasting model selection methods reduce the forecasting efficiency for relying on subjective manual selection of features. In this paper, an automatic time series feature extraction framework is proposed for forecasting model selection based on the idea of meta learning. Inspired by computer vision, we transform one -dimensional time series into two-dimensional images, and use convolution neural network (CNN) to train and classify time series images (model selection). Moreover, in order to deal with the over fitting problem caused by small sample datasets, the sliding window data augmentation method is used to improve the accuracy of small datasets model selection. A large-scale empirical study on M3 datasets shows that the proposed framework has better model selection accuracy and smaller forecasting error(MAPE) than Support vector machine(SVM) and traditional time series image algorithms. Moreover, the classification rate(model selection accuracy) of the proposed algorithm are increased by 6.5% and 4.4% compare with the traditional time series image method and Support vector machine respectively in average
Shared Understanding of Resilient Practices in the Context of Inpatient Suicide Prevention: A Narrative Synthesis
Authors: Berg Siv Hilde , Rørtveit Kristine , Walby Fredrik A , Aase Karina 
Published: February 2022

Abstract
Background.
The prevailing patient safety strategies in suicide prevention are suicide risk assessments and retrospective reviews, with emphasis on minimising risk and preventing adverse events. Resilient healthcare focuses on how everyday clinical practice succeeds and emphasises learning from practice, not from adverse events. Yet, little is known about resilient practices for suicidal inpatients. The aim of the study is to draw upon the perspectives of patients and healthcare professionals to inform the conceptual development of resilient practices in inpatient suicide prevention.
Methods.
A narrative synthesis was conducted of findings across patients and healthcare professionals derived from a qualitative case study based on interviews with patients and healthcare professionals in addition to a systematic literature review.
Results.
Three sub-themes categorise resilient practices for healthcare professionals and for patients hospitalised with suicidal behaviour: 1) interactions capturing non-verbal cues; 2) protection through dignity and watchfulness; and 3) personalised approaches to alleviate emotional pressure. The main theme, the establishment of relationships of trust in resilient practices for patients in suicidal crisis, is the foundation of their communication and caring.
Conclusion
Clinical practice for patients hospitalised with suicidal behaviour has characteristics of complex adaptive systems in terms of dynamic interactions, decision-making under uncertainty, tensions between goals solved through trade-offs, and adaptations to patient variability and interpersonal needs. To improve the safety of patients hospitalised with suicidal behaviour, variability in clinical practice should be embraced.
Trial registration:
doi: 10.1136/bmjopen-2016-012874