bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diet of the Otter Lutra lutra inhabiting a forest stream in SW Poland
Authors: Kopij Grzegorz , SZYMCZYK Katarzyna 
Published: April 2023

Abstract
Diet of the otter inhabiting a forest stream in SW Poland was studied in order to show the impact of the otter on fish and other aquatic animals. The diet was examined by means of spraint analysis. A total of 157 spraints were collected from 14 sites, and 605 prey items were extracted. Fish comprised the staple diet. It was supplemented by frogs, birds, small mammals and invertebrates. Fish were represented by at least 23 species belonging to seven families. Two families Cyrinidae and Percidae dominated the fish component of the diet (together 70.1%). The most numerous fish species consumed were Perca fluviatilis (24.1%) and Rutilus rutilus (12.1%). The otter diet was most diversified in the coldest months of the year (November-April; B = 10.0-10.5), and least in the warmest months of the year (July-August; B = 5.7). The niche breath was wider in 2006 (B = 12.2), compared with 2007 (B = 20.4). However, only the proportion of G. gobio and Esox lucius were statistically different in those two years compared. This study confirms previous findings that the otter is a generalist piscivorous predator hunting opportunistically on locally and seasonally most common fish species, mainly of low economic importance.
A comparative proteomics study revealing impact of growing region and cultivar on protein expression in the leaves of Nicotiana tabacum plant
Authors: Hu Yongxu , Chen Min , Li Gang , Wu Da , Zhang Xiangmin 
Published: April 2023

Abstract
The physical and chemical properties of Tobacco (Nicotiana tabacum L.) plants are sensitive to changes in the genetics and environment. Yet few studies have investigated the effect of both cultivar and regional factor on tobacco quality on the proteomic level. Here, TMT-based quantitative proteomics method was used to investigate proteome profiling of different tobacco leaves under various geographical location. Proteins associated with sucrose metabolism, glycolysis/gluconeogenesis and amino acid metabolism were more abundant in tobacco plants from Yunnan. In contrast, proteins involve in response to heat were more abundant in tobacco plants from Henan. We found protein related to carbon metabolism and defense signaling plays an important role in the characteristic of different cultivar within the same region. In this work, we identified key proteins and pathway involved in response of Nicotiana tabacum to environmental change, and explored the proteomic differences induced by cultivars factor. Our results provide a better understanding on the effect of environment and cultivar on tobacco leaf proteome, which will be helpful for understanding the molecular mechanism of formation of tobacco characteristic quality.
Online music teaching model based on machine learning and neural network
Authors: Yuan Lihong 
Published: April 2023

Abstract
In order to improve the efficiency of online music teaching and the recognition efficiency of teachers, students and various music symbols, this paper builds an online music teaching model based on machine learning and neural network algorithms, and proposes an improved orthogonal moment sub-pixel relocation algorithm. On the basis of pixel-level edge detection, the Zernike orthogonal moment sub-pixel relocation algorithm is used, and the corner point set of the edge is obtained through the CPDA corner detection algorithm. Then, the corner sub-pixel relocation is performed on these corner point sets separately, so as to make up for the problem of low positioning accuracy of the corner position of the edge by the common edge sub-pixel relocation algorithm. In addition, on the basis of image and video feature recognition, this article combines actual music teaching needs to construct an online music teaching model and conduct an experimental analysis on the performance of the model. The research results show that the model algorithm constructed in this paper is effective and can be applied to practice.
Cloud Service for Rural Tourism Management based on Human-Computer Interaction System and Internet of Things
Authors: Min Liu 
Published: April 2023

Abstract
With the increasing variety of travel methods, traveling to the countryside has gradually become a way for people to pursue a simple life. However, what is lacking in rural tourism is a unified platform to provide users with information, and there is no way to provide humanized services. Our article is an information service system that discusses the current status of rural tourism, as well as some elements of mobile tourism and service design. The main goal of the research is to allow tourists to get better services in the information service system, so as to make travel more convenient and caring. Then it discussed the important factors affecting the development of rural tourism. The article analyzes the five stages of tourism, clarifies the service design process and the place for passenger communication, and summarizes the specific framework. In order to provide information-based travel services, the rural smart tourism information service system is ultimately used in the user's service products. The travel experience is used as a guide to design and change the travel APP.
Research on Application of 3D GIS in Urban Landscape Based on Speech Recognition System
Authors: Shan Pengyu , Sun Wan 
Published: April 2023

Abstract
Landscaping and design are designed to meet the needs of people for leisure, entertainment, production and life. The natural landscape is the main part and combined with artificial beautification technology to create a space landscape. Modern planning and design mainly focus on environmental protection and the sustainable development of natural resources. As a natural way of human communication, speech has inherent advantages as a means of human-computer interaction. Automatic speech recognition should enable computers to "understand" human speech and convert speech sequences into text sequences. With the development of deep learning, speech recognition based on deep neural networks has become more and more common. There are currently two frameworks for internal speech recognition modeling: hybrid framework and end-to-end architecture. In this case, this work focuses on the various problems of speech recognition modeling in the two architectures. Based on local topographic maps, remote sensing image maps and various baseline survey data, this paper explores the planning area, uses technology to extract and analyze the spatial data of the research area, and create digital elevation models, remote sensing images, and maps The sounding above forms a virtual three-dimensional environment of the study area. On this basis, the landscape elements are analyzed from the perspectives, topography and spatial pattern to create urban landscapes. The planning and design are based on a comprehensive and intuitive spatial model, which is used to formulate a reasonable anti-urban security plan, with the landscape map of the area as a reference point.
Biomonitoring, simulation, and evaluation of anthropogenic pollution in Disam River, Iran: use of macro-invertebrates based biotic indices and Qual2kw model
Authors: Asadisharif Ehsan , Namin Javid Imanpoure , Taheriyoun Masoud 
Published: April 2023

Abstract
This study evaluates the water quality and self-purification status of the Disam River through biotic indices of macro-invertebrates and mathematical modeling (Qual2kw). A total of 10,370 macro-invertebrates were collected by a Surber sampler at five sample points from 2019 to 2020. Based on HFBI and ASPT, stations 2 and 3 were categorized in "Moderate" and "Very poor" classes and the EPT categorized the river as "Good", while the BMWP classified it as" Acceptable". Canonical correspondence analysis (CCA) was employed to elucidate the relationships between biotic indices and physicochemical parameters. The EPT displayed a positive correlation (axis1 = 1/43, axis2 = 0.065) with most of the physicochemical parameters of the Qual2kw. The results of comparing the output of the Qual2kw with the occurrence of the macro-invertebrates show that the Chironomidae family had the most dominance (S2 = 37.66% and S3 = 47.33%) in all seasons (except summer), while in summer, the Baetidae showed the most occurrence in S2(79%) and S3(78%) and has a positive Coefficient with temperature rise(r = 0.21) and velocity reduction(r = 0.053). The analysis of BOD and DO curve data showed that the process of self-purification is carried out along Disam River. These findings highlight the importance of the simultaneous study of biotic indices and mathematical modeling of the physicochemical parameters to assess the “ecological integrity” and flexibility of aquatic ecosystems following the fluctuations of anthropogenic impact.
Application of Intelligent Obstacle Avoidance Algorithm Combined with Internet of Things Technology in Navigation
Authors: Guo Yu , Wang Wei 
Published: April 2023

Abstract
With the prosperity and development of the Maritime Silk Road, China's maritime industry has reached a new height. While the maritime transport industry has been vigorously developed, it has also brought great challenges to safe navigation. To realize intelligent navigation, effectively prevent maritime collision accidents, and improve navigation safety, a structural model of intelligent navigation obstacle avoidance platform based on Internet of Things technology is first proposed. Then the research combines the analytic hierarchy process, artificial neural network and BP neural network algorithm, and introduces environmental factors to design an optimized intelligent navigation obstacle avoidance algorithm, so that the algorithm can make real-time intelligent adjustment strategies according to the changes of the actual environment. Finally, the collision risk at the location of the research ship is judged, and the priority list of obstacle avoidance is constructed by the risk value between different ships and the research ship, providing reference for the pilot. The research results show that the prediction accuracy of I-INOA algorithm is 97.83%. In the two obstacle avoidance experiments, the decision-making efficiency of the four ships based on I-IONA algorithm is the highest, which is 1. In practical application, the priority list of obstacle avoidance is P, O and S2. In conclusion, I-INOA algorithm has better performance and practicability, enabling the research ship to respond more intelligently and quickly.
A Virilizing Malignant Steroid Cell Tumor-Leydig Cell Subtype in a 24-Year-Old Palestinian Female with Challenging Histopathological and Biochemical Features: A Case Report
Authors: Arafat Hasan , Khaldy Marah , Munshar Ahmad Abu , Zughayyar Amer 
Published: April 2023

Abstract
Background: Ovarian steroid cell tumors are a rare subtype of sex-cord stromal cell tumors. Overall, these tumors make less than 0.1% of all ovarian tumors. These neoplasms can be divided according to the cell of origin into stromal luteomas, Leydig cell tumors, and steroid cell tumors not otherwise specified. These tumors can be benign or malignant, with variable presentation.
Case presentation: We report a case of 24-year-old virgin Palestinian female who was referred to our hospital after being diagnosed with steroid cell tumor-not otherwise specified. Prior to her admission, the patient had been treated unsuccessfully with oral contraceptive pills due to male-pattern facial hair growth, abdominal cramps and irregular menstrual cycle. The patient did not improve. Ultrasonography demonstrated a large abdominal mass measuring 13x14 cm. Computed tomography confirmed the presence of a large pelvic mass with mixed solid and cystic component, displacing bowel loops peripherally. Hormonal studies showed an elevated dehydroepiandrosterone sulfate (DHEA-S) and morning fasting cortisol. Therefore, unilateral salpingo-oophorectomy was performed, pathological and immunohistochemical examination suggested the presence of a large ovarian steroid cell tumor-not otherwise specified with malignant behavior. The patient did not receive adjuvant therapy and developed metastatic disease. She received 4 cycles of BEP with no improvement, so she was referred to our center to continue oncological management. Case revision confirmed the presence of steroid cell tumor, but of a different subtype, Leydig cell, she received 6 cycles of carboplatin-paclitaxel, albeit inconsistently, her assessment showed disease progression. The patient was referred back to her local hospital to continue management there.
Conclusion: Although rare, ovarian steroid cell tumors should be included in the differential diagnosis of virilization in young females, especially those refractory to hormonal therapy. In our study, we aimed to present the first reported Palestinian case, which highlights the importance of detailed morphological examination in addition to the difficulties encountered to reach a proper diagnosis. We also provided a review of the existing literature regarding chemotherapeutic lines used in such cases and the response to each.
Bioethanol Production from Rice Straw: Economic Drivers and Environmental Challenges in Egypt
Authors: Abulnour Abdelghani M. G. , Sayed Marwa M. El , Sorour Mohamed H. , Tewfik Shadia R. , Hani Heba A. , Shalaan Hayam 
Published: April 2023

Abstract
The uncontrolled burning of agricultural residues, results in excessive release of CO2 which is the main contributor to the climate change. This practice which is widely adopted particularly in developing countries, presents severe adverse impacts on public health and environment. Utilization of agricultural residues for bioethanol production presents the second generation (G2) for biofuels production. The aim of the current work is to provide technical and financial aspects of bioethanol production from agricultural residues. The technical aspect is emphasized on rice straw (RS) as a feedstock for production, as it is the feedstock most available in abundant quantities for large scale applications. For a facility handling 100,000 t/y rice straw under Egyptian condition the total investment costs have been estimated to be about $115 million with the cost of bioethanol produced estimated to be about $1.2/L. The economic drivers for establishing large scale bioethanol production are addressed in view of the pressure exerted for mitigating environmental challenges associated with the excessive use of fossil fuel.
Episodic magmatism across the Permian-Triassic Crisis Boundary and its effects on underlying source rocks: records from conodont-based high-resolution geochemical proxies in marine carbonate successions, South China
Authors: Liu Chao , Ding Jing , Sun Wenzhao , Luan Xueying , Sun Shasha , Yang Yong , Feng Mengsen , Jiang Tanen , Li Jiayu 
Published: April 2023

Abstract
Magmatism of various magnitudes or intensities was widely recognized worldwide in accompanying with the end-Permian mass extinction (EPME) event across the Permian/Triassic boundary (PTB). Meanwhile, hydrocarbon source rocks were pervasively occurring in later-Permian marine carbonate successions. The EPME-related magmatism and later-Permian source rocks were associated spatially and temporally. However, the features of this magmatism and its effects on underlying source rocks were not elucidated. The current study investigated episodes and magnitudes of the magmatism across the PTB from typical South-China profile (i.e., the Pingdingshan section) using conodont-based geochemical proxies at a high-resolution scale (~50 kyr). Integrated trace elemental (Mn, Sr, Rb, and Th) and stable/radioactive isotopic (δ18O, δ13C, and 87Sr/86Sr) results revealed that conodonts provided an ideal proxy for chemostratigraphic signatures of ancient seawater, largely because it was more resistant to diagenetic alterations or thermal recrystallization. The conodont-based high-resolution 87Sr/86Sr values from studied interval (250.50 Ma to 252.00 Ma) showed three decreasing cycles upwardly against a long-term increasing background across the PTB, reflecting three episodes of magmatism. By contrary, the δ18O of same resolution and from same interval displayed no similar trend. This inconsistency was probably because that the δ18O composition of carbonates from studied section was limitedly altered due to long distance from magmatism center and/or buffering from thick water column. The micrite-based high-resolution δ13C exhibited an evolving pattern consistent with long-term background, revealing that the δ13C signatures of multiple stages of magmatism during this short-term interval were not inherited by micrites. The episodes of magmatism across the PTB can be correlated to underlying Chihsian source rocks from studied section according to the clustering of oxygen and strontium isotopic compositions of two sets of strata that were spatially and temporally related. The EPME-related magmatism across the PTB exerted great influences on formation of underlying marine source rocks by bring massive heat and pervasive oceanic anoxia.
Using a Privacy-Enhanced Authentication Processto Secure IoT-based Smart Grid Infrastructures
Authors: Rostampour Samad , Bagheri Nasour , Ghavami Behnam , Bendavid Ygal , Kumari Saru , Martin Honorio , Camara Carmen 
Published: April 2023

Abstract
Over the last decade, technological advances in smart grids have permitted the modernization of legacy electricity networks. As Internet of Things(IoT)-based smart grids are becoming an efficient response to managing changing electric demand, the heterogeneous network of equipment required to make these Cyber-Physical Systems a reality poses some security threats. This paper proposes a novel mutual authentication and key agreement scheme to ensure communications security and protect users’ privacy in smart grid applications. In the proposed scheme (named EPSG), an Elliptic Curve Cryptography (ECC) module and a Physical Unclonable Function (PUF) are used simultaneously to provide acceptable confidentiality and integrity levels. The security analysis demonstrates that the EPSG has a robust security posture regarding transferred messages on the communication channel and physical attacks. In addition, EPSG is resistant to modeling attacks as one of the main vulnerabilities of PUF modules. Furthermore, 1 by implementing the EPSG on an Arduino UNO microcontroller, a comparative performance evaluation in terms of computational complexity, communication overhead, and power consumption demonstrates the efficiency of the proposed EPSG.
Distinguishing Clinical and Immunological Features of Combined Immune Deficiency due to Serine/Threonine Kinase 4 deficiency
Authors: Kapakli Hasan , HAZAR ESRA , Celik Seyma Celikbilek , Tokgoz Huseyin , Aytekin Selma Erol , Gul Yahya , Artac Hasibe , Gulez Nesrin , Genel Ferah , Guner Sukru , Kıykım Ayca , Uygun Vedat , Reisli Ismail , Keles Sevgi 
Published: April 2023

Abstract
Background: Serine/threonine kinase 4 (STK4) deficiency is a combined immunodeficiency with overlapping features with the autosomal dominant (AD)– and recessive (AR) forms of the Hyper IgE syndrome (HIES), including recurrent infections, eczema, eosinophilia and elevated serum IgE levels. The precise distinguishing features of STK4 deficiency versus the different forms of HIES remain unclear.
Objective: We examined the comparative clinical and immunological features of STK4 deficiency versus AD- and AR forms of HIES, including signal transducer and activator of transcription 3 (STAT3) and dedicator of cytokinesis 8 (DOCK8) respectively, with a focus on those attributes that distinguish STK4 deficiency from those disorders.
Methods: Six STK4, 4 STAT3 and 14 DOCK8 deficient patients and 16 healthy controls enrolled in this study. Clinical and immunological features of the patients including detailed analysis of naïve and memory T and B cell subsets including T helper (TH), T follicular helper (TFH) and T regulatory (Treg) cells were evaluated and compared with age matched control subjects.
Results: Recurrent infections and eczema were the most frequent clinical findings in AR- and eczema in AD-HIES. All STK4 deficient patients had recurrent herpetic facial lesions. Serum IgM level was significantly low in DOCK8 deficient patients compared to STAT3 and STK4 deficiency. Both CD4+T cell numbers and ratio were significantly lower in STK4 and DOCK8 deficient patients compared to control subjects. On the other hand, recent thymic emigrant (RTE) cell ratio was significantly lower, and T helper type 1 (TH1) cell frequencies were significantly higher in STK4 deficiency. While regulatory T (Treg) cell frequencies were significantly lower in DOCK8 deficiency, T helper type 17 (TH17) cell frequencies were significantly lower in both STAT3 and DOCK8 deficient patients.
Conclusion: While STK4 deficiency presents with overlapping clinical and immunological features with DOCK8 deficiency, including recurrent herpetic lesion and CD4+ T cell lymphopenia, it is distinguished by the absence of severe allergic diseases and by a number of immunological findings including decreased RTE and increased TH1 cell frequencies. STK4 deficiency should be considered in patients with AR-HIES with a clinical phenotype of DOCK8 deficiency but with otherwise normal DOCK8 protein expression.
The prognostic value of fibrinogen to albumin ratio and a novel FAR-CA125 score in patients with resectable gastric signet ring cell carcinoma
Authors: shen yimin , li yuanyuan , wang zhou , xu wei , wang wenjie , Chen Xiao 
Published: April 2023

Abstract
Purpose
The fibrinogen to albumin ratio(FAR) is increasingly considered a potential biomarker for predicting prognosis in various malignant tumors, but not in gastric signet ring cell carcinoma(GSRC). This study aims to investigate the prognostic value of the FAR and explore a novel FAR-CA125 score(FCS) in patients with GSRC.
Methods
The study was a retrospective analysis of 330 patients with GSRC who underwent curative resection. We used Kaplan-Meier and Cox regression analyses to assess the prognostic role of FAR and FCS in patients with GSRC and analyze the association with clinicopathological features.
Results
The optimal cut-off values for CA125 and FAR were 9.88 and 0.0697, respectively, according to the receiver operating characteristic curve(ROC). The FCS had a higher area under the ROC curve than FAR and CA125. The patients were grouped into three groups according to the FCS. High FCS was related to males, anemia, large tumor size, tumor invasion depth, lymph node metastasis, advanced TNM stage, SII, and pathological subtypes. Kaplan-Meier analysis showed that high FAR and FCS were related to poor survival. In the multivariate analysis, FCS, TNM stage, and SII were independent prognostic predictors for poor OS in GSRC patients after surgery. Moreover, the clinical nomogram based on FCS was constructed, showing well-predictive accuracy.
Conclusion
This study indicated that the FCS is a prognostic, and effective biomarker for patients with surgically resectable GSRC. Such developed FCS-based nomogram could be feasible and convenient tools to assist the decision-making of clinical strategy.