bluuebunny/crossref_metadata_2025_split huggingface dataset:
Red Sm:KGd(WO4)2 laser at 649 nm
Authors: Baillard Amandine , Loiko Pavel , Rytz Daniel , Schwung Sebastian , Fromager Michaël , Braud Alain , Camy Patrice 
Published: July 2023

We report on the first laser operation of a Sm3+-doped monoclinic KGd(WO4)2 double tungstate crystal in the red spectral range. Pumped by a frequency-doubled optically pumped semiconductor laser (2ω-OPSL) at 479.1 nm, the 0.8 at. % Sm:KGd(WO4)2 laser generated an output power up to 17.6 mW at 649.1 nm (the 4G5/2 → 6H9/2 transition) with a slope efficiency of 16.9%, a laser threshold down to 29 mW and a linear polarization. The laser exhibited a self-pulsing behavior, delivering µs-long pulses with a repetition rate of a few kHz. The polarized spectroscopic properties of Sm3+ ions were determined as well.
“Face” in retrospective: The use of “thanks” and “to thank” In Old Saxon and Old High German
Authors: Concu Valentina 
Published: July 2023

Abstract
Despite being often criticized, the notion of face has recently begun to be applied in diachronic pragmatic investigations on directives, requests, apologies, and terms of address. The present study also uses the notion of face to investigate the use of Dank ‘thanks’, Dankbarkeit ‘thankfulness’, and danken ‘to thank’ in expressions of gratitude in Old Saxon and Old High German, laying the foundations to a better understanding of the speech act of thanking in the history of German. The data suggest that, although the manifestation of gratitude was common, the expressions containing Dank, Dankbarkeit, and danken could mostly be found when the addresser was in a lower social position than the addressee. The same situation was observed when these nouns and verbs were used with the meaning of “to reward” and “to praise.” These findings provide evidence to the claim that the effects of a speech act on the speaker’s or hearer’s face are mostly situational rather than being an intrinsic property. They also suggest that, in strictly hierarchical societies such as the Old Saxon and Old High German ones, addressers would threaten their own negative face only if they were in a lower social position than the addressees.
Göz Travmalarına Adli Tıp Bakış Açısı: Balıkesir İli Örneği
Authors: Can Hümeyra Yıldırım , Cengiz Meksel , Can Muhammet 
Published: July 2023

Objective: General forensic examination and reporting after trauma due to forensic events is important. It is aimed to evaluate the general forensic examination reports prepared for forensic eye injuries due to trauma in our region, taking into account penal law.
Methods: In the study, the medical records of 8.651 cases who applied to the Forensic Medicine Department for the preparation of forensic reports in the 6-year period between January 2016 and February 2022 were retrospectively analyzed. Eye injury was detected in 146 of the cases.
Results: According to years, 8 (5.5%) cases were 2016, 17 (11.6%) 2017, 23 (15.8%) 2018, 24 (16.4%) 2019, 18 (12.3%) 2020, 48 (32.9%) of 2021 and 8 (5.5%) of them belonged to January and February of 2022. Thirty seven (25.3%) of 146 cases about whom a report was made were female and 109 (74.7%) were male. The male/female ratio (109/37) was found to be 2.94. Considering age groups of the cases; 87 (59.6%) cases, 25 female and 62 male, aged 20-49, 2 female and 13 male, total 15 (10.3%) cases aged 10-19, and aged 0-9 years. A total of 3 (2.1%) cases were detected, 1 female and 2 male. There was no significant relationship between age groups and gender.
Conclusion: In addition to general forensic examination reports, various difficulties are encountered in the evaluation of forensic eye injury cases. It was concluded that ophthalmologists and forensic medicine specialists should work together in forensic eye injuries, as in many branches, in the preparation of forensic reports.
Stress Evolution and Permeability Enhancement Mechanism of Multistage Cavity Completion in Coalbed Methane Horizontal Wells
Authors: Yang Ruiyue , Chen Jianxiang , Qin Xiaozhou , Huang Zhongwei , Li Gensheng , Liu Liangliang 
Published: July 2023

Summary
Coalbed methane (CBM) is an important clean energy resource. However, low gas production rate, especially in areas where hydraulic fracturing is notoriously inefficient, is the major obstacle that restricts the commercial development of CBM. Multistage horizontal well cavity completion has been observed to be successful in improving gas production rates in the Zhengzhuang block, Qinshui Basin, China. It has resulted in rates that are 1.5 times higher than the average production level achieved through horizontal well hydraulic fracturing. However, the stimulation mechanisms and major factors determining completion efficiency are still poorly understood. In this paper, we established a numerical model using the finite discrete element method (FDEM) to compute the stress evolution and fracture-network patterns. The accuracy of the model has been confirmed by analytical and numerical solutions. Subsequently, a series of parametric studies were performed to quantitatively analyze the mechanisms of multistage cavities influencing the stress evolution and fracture geometries in CBM reservoirs. Finally, we investigated a field case in an actual horizontal well located at the Qinshui Basin, where 17 cavity stages were completed. This case study further shed light upon the well completion strategies and optimization decisions. Implications and suggestions were also provided for field treatments to enhance the completion efficiency. The results demonstrate that FDEM can provide new insights into cavity completion mechanisms by explicitly accounting for fracture and fragmentation process at the field scale. The complex-fracture networks originated from multistage cavities consist of cavity-induced shear fractures, tensile fractures, mixed-mode fractures, and activated multiscale natural fractures, which is the primary reason for enhanced permeability and the essential difference from hydraulic fracturing. Compared with a single cavity, the interactions among multiple cavities can further promote the fracture-network connectivity and thus enlarge the stress-relief area and fracture area substantially. The selections of cavity geometrical parameters, including spacing, length, diameter, and number, have significant impacts on stress evolution (both magnitude and stress-relief area) and fracture patterns (such as fracture-network geometry, interconnectivity, propagation direction, and area). Stress evolution and fracture patterns reproduced from a field case in the Qinshui Basin can provide critical learnings for the industry in designing horizontal well cavity completion schemes. The key findings of this study are expected to deliver fundamental and practical guidelines for the horizontal well cavity completion in CBM or other unconventional oil and gas exploitation.
Machine learning reveals parsimonious differential model for myricetin degradation from scarce data
Authors: Fulkerson Andrew , Bayram Ipek , Decker Eric A. , Lu Jiakai , Corvalan Carlos M. 
Published: July 2023

Abstract

Accurately describing the degradation of food antioxidants in oil emulsions, bulk oils, and other foods is essential to understanding and controlling the factors that influence emulsion stability, such as antioxidant concentration. Here, we used a machine learning approach to discover a parsimonious differential equation that describes how myricetin degrades in soybean oil. The differential equation is based on a small experimental dataset, but it describes the degradation of myricetin over a wide range of initial concentrations and extrapolates well beyond the learning data. This information could be used to develop food products with improved shelf life. The machine learning approach we used has the potential to be applied to discover governing equations for other complex food systems, particularly those where the underlying dynamics are difficult to capture from limited experimental data.
Antivirus Solution to IoT Malware Detection with Authorial Next-Generation Sandbox
Authors: Silva Sthéfano , Lima Sidney Marlon Lopes , Pinheiro Ricardo Paranhos , Abreu Liosvaldo Mariano Santiago , Lima Rafael Diniz Toscano , Fernandes Sérgio Murilo Maciel 
Published: July 2023

Abstract
Background: Nowadays, the Internet of Things (IoT) significantly impacts people’s lives, reaching hundreds of billions of devices connected to the world wide web. Given the popularity of smart devices, the amount of cyber-attacks targeting technology has grown in the last few years. Malware is currently the main cyber-villain in IoT situations due to the ongoing emergence of new malware targeted at IoT, such as the botnet, the use of sophisticated obfuscation and evasion tactics, and frequently the availability of enormous resources for its development.
Objective: The present work creates an Antivirus for Dynamic Malware Analysis based on Artificial Neural Networks, equipped with authorial emulated IoT Sandbox. Our antivirus is specialized in malware detection from 32-bit IoT architectures of the Advanced RISC Machine (ARM) type. Methods: In the proposed methodology, the suspected ELF file for 32-bit ARM architecture is executed with the objective of intentionally infecting the audited GNU/Linux. In opposition to analysis of individual events, our engine employs authorial Next-Generation Sandbox. In all, our antivirus monitors and statistically weighs 2,793 actions that the suspicious ELF file can perform when executed.
Results: Our antivirus reaches an average accuracy of 98.75% when distinguishing benign ARM ELF files from malware. Our antivirus architectures are probed under different learning functions and starting conditions to maximize their accuracy.
Conclusions: The lack or limited detection of malicious software by commercial antivirus programs can be provided by Smart Antivirus. Instead of models based on blocklists, signatures or heuristics, our antivirus allows the detection of ARM ELF malware in a preventive and non-reactive way. Our antivirus overcomes limitations of Clamav and other traditional antiviruses.
Accounting for local categorizations and classifications of fish: Towards a food-centred governance of small-scale fisheries in coastal Kenya
Authors: Allegretti Antonio , Omukoto Johnstone 
Published: July 2023

Abstract
Burdened with food insecurity and inadequate nutrition, countries in the Global South have ample margins to benefit from more consideration for fish and aquatic foods for better nutrition. This article proposes the case of Kenyan coastal fisheries as a potentially crucial reservoir of food-related benefits for the poor and local communities, provided that a food-centred lens or approach are mainstreamed in local and national governance. Borrowing insights from post-structuralist maritime social sciences, and with evidence from the two coastal communities of Shimoni and Watamu, this article presents an ethnographic account of grassroots practices in-the-making such as handling, sorting, and allocating fish once caught, and how these practices lead to local categorizations and classifications of fish. This sort of evidence and knowledge around local categorizations and classifications of fish enables to delve into questions of access, availability, affordability, and agency that are crucial for a nutrition-sensitive approach to governance of fisheries. Through the analysis of the two different locations of Watamu and Shimoni in terms of the fisheries economy and overall development, the analysis of these categories and classifications highlights the necessity to account for a fairer access and distribution rather than solely production (of fish) that is overly market-oriented or exported.
Blood Transfusion for Iron Deficiency Anaemia in Antenatal and Postnatal in
Maternal Specialist Hospital, 2018-2019: An Analytical Cross-sectional Study
Authors: Albafta Fatema , Elgergawi Taghrid 
Published: July 2023

Objective:
Estimate the proportion and outcomes of blood transfusion in iron deficiency anemia in a specialist maternal hospital in Dubai, United Arab Emirates (UAE).

Methods:
In a cross-sectional study, data were collected from 177 pregnant inpatients and delivered outpatients with haemoglobin less than 12g/dL at the hospital in Dubai (UAE) between the 1st of February 2018 to 31st of January 2019. Sociodemographic factors were age, parity (number of birth to a live neonate or gestational age more than 24 weeks), and ethnicity. The outcome variable is blood transfusion. Different variables such as age, parity, nationality, gestational age at diagnosis, most severe haemoglobin reading, serum ferritin, haemoglobin electrophoresis, treatment, gestational age at delivery, mode of delivery, postpartum haemorrhage, neonatal birthweight, neonatal haemoglobin were tested using frequencies and means (standard deviation), chi-square and sample T-test was used.

Results:
One hundred and seventy-seven ladies had anemia, and one hundred and twenty-two (68%) had iron deficiency anemia (ferritin<30ng/dL). 52.5% (N=93) had moderate to severe anemia, and only 7.3% (N=13) received a blood transfusion. Anaemia was mostly diagnosed in the first trimester (40.7%; N=72) and second trimester (38.4%; N=68). 11 (6.2%) ladies had hemoglobinopathies such as beta-thalassemia, 138 (78%) ladies didn’t have hemoglobin electrophoresis reading. 37.9% (N=67) of vaginally delivered ladies and 4.5% (N=8) of cesarean section-delivered ladies had a postpartum hemorrhage. The majority of anemic antenatal and postnatal were Emiratis (74.6%; N=132), and a greater number fell in the middle age group between 30-39 (58.2%; N=103). The larger part had normal neonatal birthweight (76.8%; N=136) and only had a low neonatal birthweight (18.1%; N=32). 105 (59.3%) of neonates had abnormal hemoglobin readings.

Conclusion:
This is the first study in the UAE that assess both maternal and fetal outcome due to iron deficiency anemia in pregnant ladies. The prevalence of blood transfusion increased as iron deficiency anaemia was more severe. We endorse health practitioners to regularly measure serum haemoglobin, to treat anaemia early in pregnancy to avoid the need for blood transfusion.
Development of Dual Inhibitors of Soluble Epoxide Hydrolase/Fatty Acid
Amide Hydrolase with Tetrazole Core
Authors: Mehrandish Sara , Rezaee Elham , Sedaghat Anna , Heidarli Elmira , Naderi Nima , Tabatabai Sayyed Abbas 
Published: July 2023

Introduction:
The attractive biological actions of the eicosatrienoic acids (EETs) and
endocannabinoids (eCBs) are terminated by means of enzymatic hydrolysis via soluble epoxide hydrolase
(sEH) and fatty acid amide hydrolase (FAAH) enzymes. Simultaneous inhibition of both
enzymes is considered a novel approach in the treatment of inflammatory and neuropathic pain.

Methods:
In this study, a novel series of tetrazole derivatives as dual sEH/FAAH inhibitors were
designed, synthesized, and biologically evaluated. Compounds 6c, 7d, and 8a, the most potent inhibitors
against FAAH and sEH enzymes with acceptable IC50 values, significantly decreased carrageenan-
induced paw edema 5h after carrageenan injection compared to the control group compound. In
addition, compound 7d exhibited a significant reduction in pain scores compared to the control
group.

Results:
Docking studies showed that the presented dual inhibitors could bind to the essential residues
in the catalytic sites of both enzymes. In silico prediction of several pharmacokinetic properties
suggests that these dual inhibitors could potentially be orally active agents.

Conclusion:
These structures will be a valuable scaffold to develop soluble epoxide hydrolase inhibitors
with dual potency towards fatty acid amide hydrolase.
Recent Advances in the Nanotechnology-Based Applications of Essential
Oils
Authors: Zhang Lei , Lin Jingyi , Zhang Can , Hu Sijing , Dong Yang , Fan Guanwei , He Feng 
Published: July 2023

Abstract:
Essential oils (EOs), which are volatile aromatic substances extracted from plants,
exhibit antibacterial, antitumor, antiviral, antioxidant, anti-inflammatory, and other effects. Eos
are widely used in different fields because of their various biological activities. EOs are volatile
and insoluble in water, so their effective utilization rate is greatly reduced. In this regard, researchers
propose to use nanotechnology to construct an EOs nanosystem to solve the application
problems and improve the utilization rate of EOs. This review summarizes the latest research
progress and application status of EOs nanocapsules, EOs nanoemulsion, EOs nanofiber
membrane, EOs nanoparticles and EOs nanoliposome, including the methodologies, characteristics
and applications.Analyzes the advantages and disadvantages of existing EOs nanotechnology
and provides an outlook for future development.
Research on Art Design of Urban Wetland Park Planning Based on the Concept of Sustainable Development
Authors: Zhou Zhenhong , Wang Shiqi , Zhao Ming , Zhi Fei 
Published: July 2023

Abstract
With the development of the social economy, the scale of cities has expanded rapidly, and the urban ecological imbalance has become increasingly severe, which has caused many urban problems. People gradually realise that cities and human beings develop more harmoniously and healthily by building and developing cities on the basis of natural ecology and seeking the harmonious coexistence of ecology and humanity. The results of the sustainable landscape ecological evaluation of Anhui Shilonghu National Wetland Park show that the park has good ecological, social, and economic benefits and functions. The urban ecological environment and social and economic development have a good supporting effect on the park, and its overall evaluation grade is good. Compared with other waterscape parks, the ecological function of urban wetland parks is the most basic and essential function of the landscape. It has multiple functions, such as popular science education and being close to nature and entertainment. Developing wetland ecological experience tourism activities benefits wetland protection and ecologically coordinated, sustainable development. It can also comprehensively improve wetland parks’ ecological, social, and economic benefits.
Analyzing the Dynamics of Islamic Stock Market Indices in Several Muslim Countries
Authors: Haryono Slamet , Atika Bella 
Published: July 2023

Purpose: Analyzing stock price is very necessary to identify the overall price of the stock index, which the market players have various options and references to invest their money in the profitable securities portfolio. Based on the reason, the aim of this study is to examine the Islamic stock price movement in several Muslim countries joined in the Islamic Conference Organization (IOC).

Theoretical Framework: This study refers to the theoretical framework that the integrated capital market can help everyone in analyzing the quality and quantity of the Islamic stock price movement, including its challenges and opportunity in the context of investment risk management.

Design/Methodology/Approach: This research uses a descriptive-analytical method and comparative approach to examine the tends of Islamic stock price movement in six Muslim countries from the period January 2010 to December 2019, namely JII-Indonesia, DJIMY-Malaysia, DJTR-Turkey, DJIMKW-Kuwait, TDWL-Saudi Arabia, and QEAR-Qatar, which are analyzed quantitatively, statistically, and deductively.

Findings: The results of the research show that the co-integrated of Islamic Stock Index are JII-Indonesia with DJIMY-Malaysia, JII-Indonesia and DJIMKW-Kuwait, DJIMY-Malaysia with DJIMKW-Kuwait, DJTR-Turkey with DJIMKW-Kuwait, QEAR-Qatar with DJIMKW-Kuwait. The Islamic stock index pairs confirmed through the VAR and VECM tests are only DJIMY-Malaysia with QEAR-Qatar, DJIMY-Malaysia with DJIMKW-Kuwait, and TDWL-Saudi Arabia with QEAR-Qatar.

Research, Practical & Social Implications: This study becomes one example of the practical analysis of Islamic Stock Market movements that can be used to the stock market players in taking the consideration and decision for the investment in capital market.

Originality/Value: This result of this study is originally limited in the Islamic stock index in six Muslim countries such as Indonesia, Malaysia, Turkey, Saudi Arabia, Qatar, and Kuwait. However, this can be explored more comprehensively in the same or various research objective by the other researchers.
Causal effect of vitamin D on myasthenia gravis: a two-sample Mendelian randomization study
Authors: Fan Yidan , Huang Huaiying , Chen Xiangda , Chen Yuexuan , Zeng Xiashi , Lin Fenwei , Chen Xu 
Published: July 2023

IntroductionObservational studies suggest that vitamin D supplementation may be effective in preventing myasthenia gravis (MG). However, the causal relationship between circulating vitamin D levels and MG remains unclear. This study aimed to examine the genetic causality of circulating vitamin D and MG using data from large population-based genome-wide association studies (GWAS).MethodsSNPs (single nucleotide polymorphisms) strongly associated with exposure were selected. Two-sample Mendelian Randomization (MR) was performed with inverse variance weighting (IVW), MR-Egger (Mendelian randomization-Egger), weight median and MR-PRESSO (Mendelian randomization pleiotropy residual sum and outlier) methods. Heterogeneity was tested via IVW and MR-Egger. Pleiotropy was tested using MR-Egger intercept test and MR-PRESSO method. MR-PRESSO was also used to detect outliers. Leave-one-out analysis was used to identify SNPs with potential effect. Reverse MR analysis was also performed.ResultIn IVW, circulating vitamin D levels had no causal effect on MG [OR = 0.91 (0.67–1.22), p = 0.532] and MG had no causal effect on circulating vitamin D [OR = 1.01 (099–1.02), p = 0.663]. No heterogeneity or pleiotropy was observed (p &gt; 0.05). Other MR methods also agreed with IVW results.ConclusionThis study provides the causal relationship between genetically predicted circulating vitamin D levels and MG and provides new insights into the genetics of MG.