bluuebunny/crossref_metadata_2025_split huggingface dataset:
D2D Lifetime Analysis in context of Radio Frequency Energy harvesting
Authors: CHINBOU ABDELKARIM , BOUMAALIF Adil , ZYTOUNE Ouadoudi 
Published: March 2023

Abstract

Device-to-device (D2D) communication has been recognized as one of the promising paradigms for supporting the next generation of cellular networks, it brings several benefits in terms of reducing time delay for communication, and providing better spectrum efficiency. However, energy consumption in D2D communication is a big challenge due to the limited operational lifetime of the devices’s batteries. Many techniques have been proposed in literature to improve energy efficiency such as harvesting energy from ambient sources like wind, solar, and vibration. Recently a new technique named Wireless Power Transfer (WPT) has emerged as a solution to the limitations of the old energy harvesting strategies. It promised to ensure the availability of sufficient energy at the user terminals whenever required. This article used stochastic geometry to analyze the transmitter device’s lifetime in the context of D2D under laid communication mode and to stand out the outcome of the RF energy harvesting model on the device’s lifetime. First, the expression of expected transmit power was proved using its cumulative distribution function, then the lifetime of transmitting devices under Rayleigh fading has been derived. Furthermore, the effect of the RF energy harvesting model on extending the device’s lifetime has been highlighted. Finally, analytical and simulation studies are realized to prove the value of our analysis.
In vitro antimicrobial activity evaluation of selected medicinal plants against multidrug- resistant isolate of Clinical Bovine Mastitis
Authors: Balcha Fikre Birhanu , Sulayeman Mishamo , Neja Sultan Abda 
Published: March 2023

Abstract
Background
Mastitis is one of the challenges impairing the development of the dairy industry. Among mastitis-causing bacteria, S. aureus and E. coli represent the main causative agents that threaten the farmers not only due to the high incidence rate and zoonotic potential but also due to reports of multi-drug resistance. The study was conducted to assess the antimicrobial activity of selected medicinal plants against multidrug-resistant bacterial isolates from clinical bovine mastitis. Milk samples from mastitis cases were aseptically collected and S. aureus and E .coli isolates were identified, the antibiotic sensitivity test pattern of the isolate were confirmed. Four medicinal plants were collected; extracted and their in vitro effectiveness on multidrug-resistant S. aureus and E. coli isolates of bovine mastitis was validated compared to the conventionally used antimicrobial drugs.
Results
Crude extracts from the four plants were effective against both susceptible and resistant isolates. Extract of Crotona macrostachis at 100mg/mL MIC showed the highest mean zone of inhibition (20.2 ± 1.48) on E. coli while Prunes Africana at 50mg/mL MIC showed 12.9 ± 0.74. The highest mean zone of inhibition 13.8 ± 0.84 for Datura Stamonium at a MIC of 100mg/mL and lowest mean zone of inhibition 11.64 ± 0.86 for Crotona macrostachis at 100mg/mL MIC was observed on S. aureus. Moreover, compared to S. aureus, better efficacy was observed for all tested plant extracts against E. coli.
Conclusion
This study indicated that traditional medicinal plant preparations might be considered as an alternative option for the treatment of resistant isolates of clinical bovine mastitis.
Digital economy and high-quality development of manufacturing industry in China：Based on technology innovation effect and management efficiency
Authors: Yang Yi , Yu Qian 
Published: March 2023

Abstract
The digitalization process of China's manufacturing industry has entered a critical period, and the real economy is also in an important period of high-quality development. Promoting the organic integration of manufacturing industry and digital economy to achieve high-quality development is a key and difficult problem to be solved. This paper examines the impact of digital economy on the high-quality development of manufacturing industry, the action mechanism and possible regional heterogeneity of the influence based on a panel dataset of 31 Chinese provinces and cities. The results show that digital economy can significantly promote the high-quality development of manufacturing industry, technological innovation and management efficiency have played positive intermediary roles in the relationship, furthermore,the technological innovation has a greater intermediary effect. There is regional heterogeneity about this impact, for example, the promotion effect in the eastern, western and southern regions is more significant than that in the center and north. At the time when China’s economic growth is transforming the old and new kinetic energy, more attention should be paid to the construction of infrastructure related to the development of digital economy, to promote the development of digital economy according to local conditions, to cultivate innovation platforms, to strengthen the training of digital technology talents, to promote digital industrialization and industrial digitalization, and to achieve high‐quality development of the manufacturing industry.
VR-Herbarium Application: The Case of KATO Herbarium in Karadeniz Technical University
Authors: Akın Alper Tunga , Ünver Saliha , Alkiş Kamber Can 
Published: March 2023

Abstract
It requires a significant amount of time, money and effort to visit institutions containing different collections in different parts of the world, for many reasons such as transportation, visa, and research permit. In this study, it is aimed to develop a virtual herbarium with both mobile and browser support, which will enable to access the panoramic view of the herbarium and the visual and botanical characteristics of the herb samples in the herbarium. Karadeniz Technical University Faculty of Forestry (KATO) Herbarium, established in 1973 and registered in the International Herbarium Index, was chosen as the study area. The virtual herbarium (VR) KATO application was carried out in three stages: production of panorama images of the herbarium, creation-connection of the database and programming of the application. Within the scope of the study, a database containing the botanical features and images of 20 herb samples in the herbarium was also created using the MongoDB Atlas connection, and a dynamically-updatable herb library was presented to the online visitors. This study is a pioneer with the concept of virtual reality and a distinctive example of mixed reality technologies’ usage in the forestry discipline. Besides that, the study is a unique example for different fields related to forestry, which contains different libraries such as flora, fauna, endemic species, and national parks, and for other sectors.
The Structural and Electrical properties of Guar Gum based Green Electrolyte
Authors: SRINI BOLLABATHINI , Sreek T. , Rajesh S. 
Published: March 2023

Abstract
Guar gum is an environmental tree-based natural polymer with a large molecular weight. Guar gum polymer electrolytes are new materials that are being developed for the applications of electrochemical devices such as supercapacitors, high energy density batteries, fuel cells, electrochromic displays, etc. The solution casting method has been employed to prepare solid-state composite Green-polymer electrolytes using Guar gum, Zinc Sulphate heptahydrate salt (ZnSO4.7H2O). These synthesized polymer electrolytes have been studied by using X-Ray Diffraction(XRD), Fourier Transformation Infrared (FTIR), Differential scanning calorimetry (DSC), Scanning Electron Microscope(SEM), and Electrical impedance Spectroscopy(ESI) techniques. The addition of the zinc (ZnSO4.7H2O) salt, to withstand the ion movement in composite guar gum matrix electrolyte was the main investigation in the present work. The complexation of polymer and salt was confirmed by the FTIR. The phase transition and amorphous nature were confirmed by X-Ray Diffraction (XRD). The glass transition temperature was calculated for all samples by using a DSC study. The scanning electron microscopy(SEM) technique investigated that the surface exhibited anisometric morphology (spherical and elongated)for pure guar gum and while in the composite polymer, bounded the salt ion within the guar gum matrix. The ionic conductivity was calculated using bulk resistance at room and different temperatures. The maximum ionic conductivity is 2.5x10− 5 S/cm at 100oC for a pure guar gum sample, while with the addition of the salt guar gum, a non-linear variation of the conductivity was found. The long tail in dielectric constant(εʹ(ω)) and loss (εʺ(ω) analysis was refect the bulk capacitance nature of the sample. The non-Deby behavior and relaxation process was studied by dielectric modulus parameters.
Seizure-like Symptoms Induced by Hypomagnesemia in a Patient with Incomplete Small Bowel Obstruction: A Case Report and Literature Review
Authors: Zhu Mingjin , Chen Wenjun , Weng Jiyan 
Published: March 2023

Abstract
Background
Seizure-like symptoms are rare in older patients without brain damage. Small bowel obstruction is a common clinical disorder for older patients that can cause electrolyte disturbances and nutritional disorders. Hypomagnesemia is a frequently overlooked electrolyte disorder. Moreover, magnesium deficiency can lead to severe seizure-like symptoms.
Case presentations:
An 85-year-old man was admitted to the hospital with weakness and slow movement. Shortly after hospitalization, he experienced incomplete small bowel obstruction; thus, parenteral nutrition and intravenous esomeprazole were administered. When intestinal obstruction was relieved, the patient suddenly experienced seizure-like symptoms three times, and 24-h electroencephalogram did not capture any epileptiform pattern. After excluding other causes, we considered serum magnesium deficiency as a diagnosis. Low serum magnesium levels were related to a shortage of absorption due to small bowel obstruction, excess excretion of renal dysfunction, and the use of proton pump inhibitor. However, the exact mechanism underlying the hypomagnesemia-induced seizure-like activity remained unclear. After adjusting the nutritional support and magnesium supplementtion, the patient’s serum magnesium level returned to normal and he was free of seizure-like activity.
Conclusion
Hypomagnesemia is often asymptomatic, but it can lead to severe seizure-like symptoms. It is important to pay attention to the serum magnesium level and nutritional intake in patients with an incomplete small bowel obstruction.
Exploring the Dynamics of Providing Cognition Using a Computational Model of Cognitive Insomnia
Authors: Rateb Roqia , Thalji Nisrean , shorman Amal , shorman Areej 
Published: March 2023

Abstract
Insomnia is a common sleep-related neuropsychological disorder that can lead to a range of problems, including cognitive deficits, emotional distress, negative thoughts, and a sense of insufficient sleep. Insomnia can also worsen or lead to other medical conditions. Despite the existence of various insomnia-related cognitive models, clinical studies, and guidelines, there appears to be a lack of an evidence-based dynamic model for a personalized approach to treating insomnia .This study proposes a providing computational dynamic cognitive model (PCDCM) insight into providing cognitive mechanisms of insomnia and consequent cognitive deficits. Since the support providing is significantly dynamic and it includes substantial changes as demanding condition happen. From this perspective the underlying model covers integrating of both coping strategies, provision preferences and adaptation concepts. The model was found to produce realistic behavior that could clarify conditions for providing support to handle insomnia individuals, which was done by employing simulation experiments under various negative events, personality resources, altruistic attitude and personality attributes. Simulation results show that, a person with bonadaptation and either problem focused or emotion focused coping can provide different social support based on his personality resources, personality attributes, and knowledge level, whereas a person with maladaptation regardless the coping strategies cannot provide any type of social support. Moreover, person with close tie tends to provide instrumental, emotional, and companionship support than from weak tie. These results were similar to those with the model’s mathematical analysis. Finally, a mathematical analysis was used to examine the possible equilibria of the model.
Research on Urban Water Security Based on Water Poverty Theory - A Case Study of Lower Yellow River Cities
Authors: Tian Yueru , Hua Chunyu , Zhu Mengyuan , Fang Zhaotong , Yong Xian , Yang Jiaying , Fang Shumin , Ren Lijun 
Published: March 2023

Abstract
An vital guarantee for human existence is the availability of water resources. Rapid urbanization has increased the need for additional urban water resources, which has constrained sustainable urban and regional advancement. We evaluated the spatial and temporal changes in the water poverty index for the locality, looked at the relationships between the evaluation system's indicators, and investigated the main barriers to improving water security using all prefectural cities in Shandong Province as the study subjects.The findings reveal that (1) From 2000 to 2020, Shandong Province's water poverty index at all levels showed an upward trend, the province's overall water security status greatly improved, and the five subsystem values in the WPI system as a whole climbed dramatically. (2) The density of water supply pipes is strongly positively correlated with the proportion of landscaped areas. The rate of centralized sewage treatment is strongly inversely correlated with the water usage of GDP of 10,000 Yuan and industrial value added of 10,000 Yuan. (3) The low percentage of ecological water usage is the primary barrier preventing WPI improvement, according to calculations using the barrier level model. In addition, the high water consumption of GDP of 10,000 Yuan and industrial value added of 10,000 Yuan are factors affecting urban water security. The area should work to increase the rates at which its water resources are utilized, particularly the ratio at which industrial water is used repeatedly. It ought to give ecological water compensation greater consideration and utilize more ecological water overall.
Impact of KIF6 Trp719Arg gene variant on Coronary Artery Disease Development
Authors: eldesouky mohamed , Abd-Elazim Amina , Elhakim Heba , Fayed Hany 
Published: March 2023

Abstract

Coronary artery disease (CAD) is a multifactorial disease resulting from the interaction of genetic varia-tion and environmental traditional risk factors (TRFs), including diabetes mellitus, smoking, dyslipidemia, and hypertension. KIF6 Trp719Arg (rs20455; A>G) is an interesting gene variant reported as one of the most important risk factors for CAD in different populations. The study enrolled 150 participants belong-ing to the National Heart Institute (NHI) catheterization unit in Egypt, who were grouped into three main study groups regarding the presence of different TRFs. Biochemical investigations and clinical data were assessed and recorded. Analysis for KIF6 Trp719Arg polymorphism (rs20455; A>G) was performed for all participants using the TaqMan genotyping real-time PCR assay (rs20455). The study demonstrated that diabetes mellitus, hypertension, dyslipidemia, and smoking were highly statistically significant among CAD with TRF and non-CAD with TRF patients with p-values of 0.009*, 0.003*, 0.046*, and 0.001**, re-spectively. The family history of premature CAD represents a high percentage of CAD without TRF pa-tients compared to the other groups with a statistical difference of p-value= 0.004*. A high prevalence of AG+GG genotypes among the different groups was obtained, representing 66.0% of CAD with TRF, 76.0% of CAD without TRF, and 60% of non-CAD with TRF patients. The present study elucidated the impact of KIF6 Trp719Arg as a dependent risk factor for CAD, as it could have a significant role in CAD develop-ment when it interacts with one or more of the other traditional risk factors.
A high figure of merit of phonon-polariton waveguide modes with hBN/SiO 2 /graphene/hBN ribs waveguide in THz range
Authors: 刘 悦 , ZHAO YUE , JIN GAO , ZHANG QIANG , FU SHUFANG , WANG XIANGGUANG , WANG XUAN , WANG XUANZHANG , ZHOU SHENG 
Published: March 2023

Abstract
The utilization of THz waveguides has enabled a variety of applications in integrated optics and communications. To effectively control THz signals on photonic chips, it is essential to design a waveguide that offers both a high figure of merit (FOM) and low loss. In this paper, we propose a THz waveguide composed of a dielectric rib and a graphene layer sandwiched between two hexagonal boron nitride (hBN) ribs on a gold layer. Numerical simulations demonstrate the existence of two type guided modes of the proposed waveguide in the second reststrahlen band (1360.0cm− 1 < ω < 1609.8cm− 1) of hBN. These modes are formed by coupling the hyperbolic phonon polariton (HPhP) of two hBN rib in the middle dielectric rib and are then modulated by a graphene layer. Interestingly, we found that four waveguide transmission parameters, including an effective length, a figure of merit, a device length and a propagation loss of the guided modes, vary with operation frequency and gate voltage. By altering geometry parameters and dielectric permittivity, the modal properties were analyzed. Simulation results demonstrate that a high FOM of 4.0×107 is achieved by optimizing waveguide size parameters. The proposed waveguide offers a promising approach for designing a tunable THz waveguide on photonic chips, which can be extended to other hyperbolic materials and 2D materials such as MnO3, silicone and germanene.
Predicting human risk with multidrug resistant Enterobacter hormaechei MS2 with MCR 9 gene isolated from the feces of healthy broiler through whole genome sequence based analysis.
Authors: S Sreejith , Premnath Manjusha , PR Prathuish , Mathew Jyothis , Abraham Swapna Susan , Nath Chitra C , Paul Nimmy , EK Radhakrishnan 
Published: March 2023

Abstract
The zoonotic spread of antimicrobial resistance (AMR) and the associated infections are becoming a major threat to the human population worldwide. Strategies to identify the potential pathogen dissemination by seemingly healthy livestock are at a nascent stage and it is of significant importance to monitor environmental evolution of AMR. In this study, a multidrug resistant strain of Enterobacter hormaechei MS2 isolated from the feces of healthy broiler chicken has been characterized by whole genome sequencing based method. Here, the isolate was primarily subjected to antimicrobial susceptibility testing followed genome sequencing and analysis. From the antimicrobial susceptibility testing result, the strain was found to be resistant to multiple classes of drugs including the colistin which is an important candidate drug used to treat infectious diseases. The resistome prediction of genomic data further revealed the presence of 7 perfect and 26 strict hits including those for MCR-9 and FosA6. The pathogenicity prediction has also demonstrated the strain to have the potential to be a human pathogen with 0.72 probability. The phylogenetic analysis has also supported the zoonotic potential of the strain due to its clustering with isolates from both human and livestock-associated host groups. The results of the study suggest the need for a strong surveillance system to identify the opportunistic zoonotic pathogens to prevent a silent AMR menace mediated by them. Carriage of multi-drug resistant strains in the livestock gut microbiome is also a serious concern as it has high AMR transmissibility through contact and supply chain activities.
BRISE-Plandok: a German legal corpus of building regulations
Authors: Recski Gábor , Iklódi Eszter , Lellmann Björn , Kovács Ádám , Hanbury Allan 
Published: March 2023

Abstract
We present the BRISE-Plandok corpus, a collection of 250 text documents with over 7,000 sentences from the Zoning Map of the City of Vienna, annotated manually with formal representations of the rules they convey. The generic rule format used by the corpus enables automated compliance checking of building plans, a process developed as part of the BRISE project. The format also allows for conversion to multiple logic formalisms, including dyadic deontic logic, enabling automated reasoning. Annotation guidelines were developed in collaboration with experts of the city's building inspection office, describing nearly 100 domain-specific attributes with examples. Each document was annotated independently by two trained annotators and subsequently reviewed by the authors. A rule-based system for the automatic extraction of rules from text was developed and used in the annotation process to provide suggestions. The reviewed dataset was also used to train a set of baseline machine learning models for the task of attribute extraction, the main step in the rule extraction process. Both the rule-based system and the ML baselines are evaluated on the annotated dataset and released as open-source software. We also describe and release the framework used for generating and parsing the interactive xlsx spreadsheets used by annotators.
Vision-based texture and color analysis of waterbody images using computer vision and deep learning techniques
Authors: Erfani Seyed Mohammad Hassan , Goharian Erfan 
Published: March 2023

AbstractVision-based analysis of waterbodies can provide important information required for monitoring, analyzing, and managing water resource systems, such as visual flood detection, delineation, and mapping. Water, however, is an ornery object in image processing, as it can be found in different forms and colors in nature. This makes the detection, classification, and tracking of water in images and videos difficult for computer vision models. There are still visual differences resulting from water texture and its inherent optical properties associated with different waterbodies which can be recognized and extracted to support computer models to better analyze water images. This study aims to utilize a set of early, mid-level, and high-level vision techniques, including Gabor kernels, local binary patterns (LBPs), and deep learning (DL) models to extract and analyze water texture and color of different waterbodies in digital images. For this purpose, ATLANTIS TeXture (ATeX), an image dataset for waterbodies classification and texture analysis, was used. Models were trained for the task of classification on ATeX. Then, the performance of each model in extracting texture features was evaluated and compared. Results showed that the classification accuracy achieved by the Gabor magnitude tensor, LBP, and DL model (ShuffleNet V2 × 1.0) are 29, 35, and 92%, respectively, and thus the DL model outperforms traditional vision-based techniques. Moreover, the classification results on raw images represented by different color spaces (e.g., RGB, HSV, etc.) emphasized the importance of color information for digital image processing of water. Analyzing representative visual features and properties of different water types and waterbodies can facilitate designing a customized Convolutional Neural Networks (CNNs) for water scenes, as CNNs recognize objects through the analysis of both texture and shape clues and their relationship in the entire field of view.