bluuebunny/crossref_metadata_2025 huggingface dataset:
Sodium-hyaluronate Mouthwash on Radiotherapy-induced Xerostomia: a Randomized Clinical Trial
Authors: Rupe Cosimo , Basco Alessia , Gioco Gioele , Patini Romeo , Lucchese Alberta , Micciché Francesco , Massaccesi Mariangela , Lajolo Carlo
Published: February 2023

Introduction: Radiotherapy-Induced Xerostomia (RIX) is one of the most common adverse effects of Radiotherapy (RT) in the Head and Neck Cancer patients (HNC), and a major determinant of survivors' quality of life. The primary objective was to evaluate the reduction of patients’ xerostomia symptoms after the utilization of a sodium-hyaluronate mouthwash compared to a placebo solution. The secondary objectives were to evaluate the improvement of quality of life, and to evaluate the patients’ satisfaction. Methods: The protocol was approved by the ethical committee (Ref. 50053/19) and registered at ClinicalTrials.gov (ID: NCT05103124). The study was a double-blind randomized clinical trial (RCT) with a crossover design and was conducted the Fondazione Policlinico Universitario A. Gemelli, Rome Results: Thirty-two patients completed the study protocol. Lower values of the modified Xerostomia Questionnaire (XQ) were retrieved when comparing the baseline scores to the ones after treatment, when compared with placebo (Mann-Whitney U test = 0.01); higher values of patients’ satisfaction (Likert Scale) and modified XQ were retrieved for the sodium-hyaluronate mouthwash (Mann-Whitney U test = 0.001). Conclusions: This RCT highlight the advantages of treating RIX with the sodium-hyaluronate mouthwash, since it seems to be clinically effective in reducing its symptoms, without any reported adverse events.
Highly-Excited Rydberg Excitons in Synthetic Thin-Film Cuprous Oxide
Authors: DeLange Jacob , Barua Kinjol , Ohadi Hamid , Paul Anindya , Zwiller Val , Steinhauer Stephan , Alaeian Hadiseh
Published: February 2023

Cuprous oxide (Cu2O) has recently been proposed as a promising solid-state host for excitonic Rydberg states with large principal quantum numbers (n) whose exaggerated wavefunction sizes (∝ n2 ) facilitate gigantic dipole-dipole (∝ n4) and van der Waals (∝ n11) interactions, making them an ideal basis for solid-state quantum technology. Synthetic, thin-film Cu2O samples are of particular interest because they can be made defect-free via carefully controlled fabrication and are, in principle, suitable for the observation of extreme single-photon nonlinearities caused by Rydberg blockade. In this study, we demonstrate the successful synthesis of nanometer-scale thin films of Cu2O on a transparent substrate and present evidence for the presence of Rydberg excitons up to n = 8. These results represent a significant step towards the development of scalable and integrable Rydberg-based quantum devices on a chip.
Effect of metals doped TiO2 composite on degradation of methylene blue
Authors: Farooq Saima , Dawery Salam Kadhim Al , Annamareddy Sri Hari Kumar , Shukri Asila Abdulaziz Al. , Ryami Khamis Al. , Yaaqubi Fatema Abdullah Al. , Dawary Muataz S. Al
Published: February 2023

Many types of organic compounds are being discharged in ever-increasing quantities into the environment. In the present work, catalysts composed of titanium dioxide and metals with the presence of ultraviolet light or visible light are used for the degradation of organic contaminants. Single and dual metals (Fe+ 3 and Co+ 2) doped TiO2 were prepared using sol-gel method and wet impregnation methods for the degradation of the methylene blue. The composition and morphology of the prepared catalysts were analyzed using EDX and SEM techniques. The results demonstrated that iron and cobalt are dispersed on the surface and between the interfaces of the TiO2. The diameter of pure TiO2 nanoparticles was 54 nm, while that of Fe-and Co doped TiO2 nanoparticles were 45.6 and 38 nm respectively. The results showed that the degradation of methylene blue using different prepared catalysts were: 80% using pure 500ppm TiO2 with UV irradiation; 60% and 70% using sol-gel 1 g Fe doped 1 g TiO2 with UV and visible lights respectively; 90% and 50% using sol-gel 1 g Fe doped 2 g TiO2 with UV and visible lights respectively. For the case of prepared catalyst by wet impregnation metal- TiO2, the degradation of methyl blue were; 50% and 35% using Fe- TiO2 with UV and visible lights respectively; 50% using Co-TiO2 with both UV and normal lights. However, combing Fe-Co-TiO2 gave 30% degradation with both UV and visible lights. These results indicates that the addition of metals to the TiO2 can improve the degradation of organic materials using visible light irradiation which is impossible with pure TiO2.
Novel quinoxaline core-conjugated microporous polymer coating for highly sensitive solid-phase microextraction of phthalate esters in liquid food samples
Authors: Xiang Gang , Li Wenzhuo , Nong Qiuxiang , He Xiansen , Zhang Cuizhong , Zhang Zhengfa , Huang Wei , Peng Jinyun , Xu Jiangfen , Tan Yiqiu , Sun Jing
Published: February 2023

Conjugated microporous polymers (CMPs) have been widely used in various fields as a new class of porous materials. In this study, a quinoxaline-based CMP (BQP-CMP) was prepared and used as the coating in SPME for the extraction and enrichment of nine phthalate esters (PAEs) in juice, soya sauce, cooking wine, and blended edible oil samples. Several parameters affecting solid-phase microextraction (SPME) were optimized. The feasibility of the developed method was verified using real samples, which showed low LODs (0.014–0.032µg L− 1), wide linearities (0.05–50 µg L− 1), good repeatability (2.8–6.6%), and a long service life. The real liquid samples were successfully analyzed using this proposed method and spiked recoveries of 70.16–96.36% were obtained. Moreover, the interaction model and binding energies between BQP-CMP and the PAEs were explored using molecular docking. A satisfactory extraction efficiency was achieved owing to the high specific surface area (601.62 m2 g− 1), high hydrophobicity, and the conjugated planar structural unit distribution of BQP-CMP. This study demonstrates that BQP-CMP is excellent as a rapid and sensitive analysis material for PAEs at trace levels in various types of samples and that CMP materials are also excellent candidates for SPME coatings.
Prediction model of short-term passenger flow of urban rail transit trains integrating temporal and spatial features
Authors: Zuo Jing , Yu Zhao , Liu Guo Yan , He Ming
Published: February 2023

The diversification of transportation organization mode under the condition of network brings great challenges to the operation of urban rail transit system. Effectively predicting the short-term passenger flow state of trains is an important prerequisite to optimize the transportation strategy and cope with the real-time passenger flow fluctuation. Hence a prediction method of short-term passenger flow of urban rail trains based on GCN and BiLSTM is proposed. Firstly, the time sequence diagram is esablished based on the urban rail transit network, the dynamic spatial correlation between the stations is captured by GCN. secondly, the BiLSTM network is constructed to extract the continuity and periodic time change features of train passenger flow from the forward and backward dimensions. Finally, the spatio-temporal features are stitched together based on the feature fusion network. The performance verification and analysis based on Chengdu Metro show that compared with several baseline models, the proposed model has higher detection accuracy, and the prediction efficiency can fully meet the timeliness requirements of the field, which has a good application prospect.
Geochemistry of an intercalated unit of arkose and shale of the Dhandraul Formation belonging to the Vindhyan Supergroup, Eastern India: Insights from provenance, depositional environment, and geodynamic set-up
Authors: Yadav Pawan Kumar , Das Manorama
Published: February 2023

In this study, we have presented a hitherto unreported mappable member of an intercalated unit of arkose and shale of the Dhandraul Formation of the Kaimur Group exposed in Kaimur district, Bihar, India which was not reported by earlier workers in the Vindhyan basin. It is a contribution for understanding the possible provenance, source area weathering, depositional environment, and geodynamic set-up of this member. Based on field characteristics and petrography study, three lithofacies units have been identified viz. (i) coarse to medium-grained arkose, (ii) intercalated sequence of arkose and shale, and (iii) shale. Geochemically, these lithofacies predominantly occupied the field of arkose and shale except samples fall in the field of sub-arkose. These lithofacies display relatively an enrichment of SiO2 and Al2O3 and show low concentrations of MgO, CaO, Na2O, K2O, and TiO2. The values of ∑REE in arkose are varying from 78.74 to 128.81 ppm whereas the values of fractionation indicate (La/Sm)N (3.73-4.22), (La/Yb)N (7.33-15.59), (Gd/Yb)N (1.32-2.30), and Eu/Eu* (0.58-0.66). In shale, ∑REE ranges from 354.02 to 382.11 ppm while the fractionation contents of (La/Sm)N, (La/Yb)N, and (Gd/ Yb)N, and Eu/Eu* are ranging from 3.82 to 4.82, 7.65 to 11.85, 1.38 to 1.73, and 0.56 to 0.81. On the basis of rock fragments and paleocurrent direction, the possible sources are presumed to be the Chhotanagpur Gneissic Complex and the Mahakoshal Group of rocks, which lie towards the south and southwest. In the binary and ternary plots, most of the samples of arkose and shale have mostly occupied the field of passive margin tectonic setting except one sample comes in the field of the continental island arc. Based on mineralogical and textural maturity, sedimentary structures and the overall sequence of these lithofacies from sandstone to shale member of the Dhandraul Formation show fining upward sequence which attributes the deposition in a shallow coastal fluvial-marine environment in a transgressive phase. This discovery has opened a new opportunity to relook at the depositional environment of the Dhandraul Formation in other parts of the Vindhyan basin.
Improved Deep Q-network for Mobile Charging Sequence Scheduling with the Minimal Mobile Charger Energy Capacity in Wireless Rechargeable Sensor Network
Authors: Jiang Chengpeng , Chen Wencong , Li Jinglin , Wang Jing , Wang Ziyang , Xiao Wendong
Published: February 2023

Wireless rechargeable sensor network (WRSN) is a new type of wireless sensor networks (WSNs) with rechargeable sensor nodes, which provides a feasible way to overcome the energy constraint prob- lem in WSN. Mobile charging is promising for WRSN by charging sensors using the mobile charger (MC), usually via wireless energy transfer (WET). However, it is challenging to maintain the network working sustainably under the limited capacity of the MC, and most existing works assume that the capacity of MC is infinite or with a very large value, which may be impossible in many real applica- tions. This paper will study the mobile charging sequence scheduling problem to maintain the network working sustainably and minimize the energy capacity of the MC (CSSEC). Specifically, the problem of minimizing the energy capacity of MC is coupled with mobile charging sequence scheduling, and the charging sequence will directly affect the energy cost of MC during a charging tour. Therefore, we propose an improved deep Q-network for CSSEC (IDQN-CSSEC) to address this issue. It employs the MC as the agent to explore the WRSN, and determines a charging policy for MC based on the charging demand of sensors, which selects the next sensor for charging. IDQN-CSSEC uses the Q learning and deep Q-network (DQN) comprehensively, which trains the Q table of the Q learning and the networks of DQN in the early stage of the training, and updates them simultaneously. The action determined by Q learning is selected with a greater probability, which decreases as the iteration step increases. Simu- lation experiments verify that the charging policy determined by IDQN-CSSEC can make the network work sustainably with the minimal energy cost of the MC by comparing it with the baseline methods.
Differences in Word Choice between Male and Female Translators: Analyzing Persian Translations of “A Man Called Ove”
Authors: Alipour Roya
Published: February 2023

The present study concentrates on answering the question of whether there are unintentional differences between genders in the translation of emotive and non-emotive texts, resulting in female translators preferring more expressive words when translating emotive texts in comparison to their male counterparts. The works of four translators, two males and two females, who had translated Fredrik Backman’s novel: A Man Called Ove, from English into Persian were used as samples of the study. To answer the research question, qualitative method was used, and the data were collected by analyzing some words, phrases and sentences as the bases for analysis. It was concluded that although there were obvious differences in word choice in translations, no specific pattern was found that showed gender might affect translation of emotive and non-emotive texts.
On the calculation of phonetic feature vectors and division of Min Chinese
Authors: Song Jiali , Zheng Wei
Published: February 2023

The affinity between dialects is reflected in the phonetic similarity. Using the vector space model of Python language, the dialect phonetic features can be transformed into the vector data format, and then the cosine similarity formula is used to compare and analyze. Assign values to the intimacy and estrangement of 19 dialect points in Min Chinese, and visualize the intimacy and estrangement in complex dialect areas. Finally, the calculated result matrix is compared with the results of traditional manual statistical research to show the rationality and accuracy of the econometric analysis method.
Kamenev type conditions for oscillation of third order linear ordinary differential equations
Authors: Grigorian G. A.
Published: February 2023

The Riccati equation method is used to establish Kamenev-type conditions for the existence of oscillatory solutions to third order linear ordinary differential equations. Three oscillatory theorems are proved, which generalize the Lazer's oscillation criterion.
Rethinking of Rural Land Consolidation Model from A Village Scale of Mountainous Areas : Insight on Factor Integration
Authors: Lan ZHAO , Yanlin HAN , ZHANG Linlin , Lei HUANG , DENG Xiyue
Published: February 2023

How to effectively promote the development and transformation of mountainous agriculture is the key to cracking the bottleneck of China's rural development. Land consolidation has always been one of the main means to achieve it. Based on the rural factor resources, land resources, labor resources, agricultural industrial resources and ecological landscape resources, this paper selects a typical mountain village—Qianlong Village of Guanyin Town in Huaying City as a research area. Through field investigation and face-to-face interviews, on the basis of the division of "production-living-ecology" space, combined with the industrial development orientation and the integration characteristics of various factors, the land consolidation planning model based on factor integration is constructed. Evaluation system of rural resources integration effect is built based on the matter-element extension evaluation model. The evaluation results show that land consolidation has performed excellently for industrial factors and ecological landscape resources, land resources and rural labor resources, indicating that land consolidation is effective in promoting rural industrial economic development and improving rural landscape functions. In the short-term, the effects of land use structure adjustment and rural labor integration cannot be fully realized. This practice provides a case and a useful reference on how land consolidation can promote the transformation of rural economic development through factor integration.
Triplex PCR Amplification of Different Melting Profile Amplicons for Simultaneous Detection of HCV, HBV, and HIV-1 Genomes in a Single Tube
Authors: Nemr Waleed Abdelgaber , Radwan Nashwa Kamal
Published: February 2023

Background
Hepatitis C Virus (HCV), Hepatitis B Virus (HBV), and Human Immunodeficiency Virus 1 (HIV-1) are epidemic blood-borne viruses, pose threats to human health and cause economic losses to nations for combating their infection transmission. However, the diagnostic methodologies which depend on the detection of viral nucleic acid are much expensive but more accurate than immunological testing.
Methods
This study approaches a lower cost triplex PCR method for simultaneous detection of the nucleic acids (genomes) of the three mentioned viruses. This PCR targets amplification of a short conserved region, having distinguishable melting profile and electrophoretic molecular weight, inside each viral genome. Therefore, this diagnostic method will be applicable with both conventional PCR (combined with electrophoresis) and real time PCR facilities. Many in silico investigations have been conducted to prove the capability of the approached PCR to detect variants of each virus. Then, Egyptian isolates of each virus have been subjected for the laboratory application of the given protocol.
Results
The results revealed good sensitivity for detecting and discriminating low copies of each type of viral particles.
Conclusions
The given protocol presents a sensitive PCR diagnostic test, with less time and cost those are ordinary needed for detecting three types of viruses. This will be a good substitutive system for the mistakable immunological-based tests.
The effects of estrus cycle on the expression of ovarian biological clock-related genes of Xiang pigs
Authors: Tang Liang-Ting , Huang Shihui , Niu Xi , Li Sheng , Wang Jiafu , Ran Xue-Qin , Tang Liang-Ting
Published: February 2023

The biological clock has been studied to play a critical role in the reproductive system of various living organisms like swine. To examine the effects of estrus cycle on the expression of ovarian biological clock-related gene in Xiang pig, in this study, we analyzed the expression and alternative splicing of biological clock-related genes in ovary during estrus and diestrus periods. In total, we detected 90 clock-related genes expressed in the ovaries of the Xiang pigs and found 33 clock-related genes differentially expressed between estrous and diestrous stages. We identified 44 differential splicing events from the transcripts of 34 biological clock-related genes. Furthermore, we also found 20 genes including the core clock components, arntl and cry1 were differentially regulated only at AS level and 14 genes, including per1 and clock, were differentially regulated at both expression and AS levels. We also proved that the core clock genes per1, cry1, clock and arntl and the clock-related genes, ppp1cb and ntrk1 were rhythmically expressed in Xiang pig ovaries by RT-qPCR experiments. The results demonstrated that the biological clock in the ovaries of Xiang pigs might play an important role in regulating the ovarian physiological functions by the transcriptional and post-transcriptional regulation.
Normal integral bases of Lehmer's cyclic quintic fields
Authors: Aoki Miho , Hashimoto Yu
Published: February 2023

Let Kn be a tamely ramified cyclic quintic field generated by a root of Emma Lehmer's parametric polynomial. We give all normal integral bases for Kn only by the roots of the polynomial, which is a generalization of the work of Lehmer in the case that n4+5n3+15n2+25n+25 is prime number, and Spearman-Willliams in the case that n4+5n3+15n2+25n+25 is square-free.
Mathematics Subject Classification (2010) Primary 11R04 · 11R20, Secondary 11C08 · 11L05 · 11R80
Fashion Intelligence in the Metaverse: Promise and Future Prospects
Authors: Mu Xiangyu , Zhang Haijun , Shi Jianyang , Hou Jie , Ma Jianghong , Yang Yimin
Published: February 2023

With the development of artificial intelligence (AI) and the constraints on offline activities imposed due to the sudden outbreak of the COVID epidemic, the Metaverse has recently attracted significant research attention from both academia and industrial practitioners. Fashion, as an expression of a consumer’s aesthetics and personality, has enormous economic potential in both the real world and the Metaverse. In this research, we provide a comprehensive survey of two of the most important components of fashion in the Metaverse: virtual digital humans, and tasks related to fashion items. We survey state-of-the-art articles from 2007 to the present and provide a new taxonomy of extant research topics based on these articles. We also highlight the applications of these topics in the Metaverse from the perspectives of designers and consumers. Finally, we describe possible scenes involving fashion in the Metaverse. The current challenges and open issues related to the fashion industry in the Metaverse are also discussed in order to provide guidance for fashion practitioners, and to shed some light on the future development of fashion AI in the Metaverse.
Cuproptosis-related genes to establish prognostic model and predict the immunotherapy response in cervical cancer
Authors: Xue Xinzi , Zhao Yue , Zhang Dan , Xu Danying , Huang Long , Wang Xia
Published: February 2023

Background
Cuproptosis is a new type of cell death recently discovered. Some studies have found that cuproptosis- related lncRNA is related to the prognosis of cervical cancer. However, there are few studies on the relationship between cuproptosis-related genes and immune infiltration and prognosis of cervical cancer. The objective of this study was to investigate the prognosis of cervical cancer and cuproptosis-related genes and the response to immunotherapy.
Methods
The clinical data of cervical cancer patients were downloaded from TCGA database, and randomly divided into training group and validation group. The cuproptosis -related genes was screened out by univariate Cox, Lasso-Cox and multivariate Cox analysis, and the risk model was constructed. The OS of two subgroups and the whole cohort were analyzed by Kaplan-Meier curve, and the prognostic value of the model was verified by ROC curve and PCA. The independent prognostic value of clinical features and risk score was analyzed by univariate and multivariate analysis. Then, the gene ontology (GO), Kyoto Gene and Genome Encyclopedia of Genes and Genomes (KEGG) were analyzed to illustrate the difference genes of the biological characteristics of the two risk groups, and the drug sensitivity between the two subgroups was also analyzed.
Results
We constructed five genes related to the death of copper (FDX1, ARF1, APP, HSF1, MT1A). From the survival curve of risk score, whether it is training group, validation group or overall OS, the total survival time of low-risk group is far longer than that of high winds and obstacles, and it has a good prognosis (P < 0.001). In addition, by univariate and multivariate Cox analysis, risk score and T (tumor size) were independent prognostic factors (P < 0.001). According to the receiver operating characteristic curve (ROC) and PCA, the prognosis model of this study can achieve high accuracy, with the area under the curve (AUC) of 1 year, 3 years and 5 years being 0.751, 0.736 and 0.748 respectively. We also use classification ROC analysis to evaluate the sensitivity and specificity of risk score and other clinical features such as age, grade and stage. The results of enrichment analysis showed that extracellular matrix, extracellular structure and external packaging structure were closely related to genes. We also found that the sensitivity of 24 drugs is closely related to the risk score, which can provide accurate therapeutic drugs for different groups of patients in time.
Conclusion
Our study established a prognostic risk model composed of 5-cuproptosis related genes, and proved that the model has obvious relationship with the prognosis of patients, which can accurately predict the overall survival of patients. And patients with low risk score are more likely to benefit from immunotherapy and the enrichment of immune cells is higher.
Long-term functional outcomes and multidisciplinary management after Duhamel pull-through for total colonic aganglionosis- 20-year experience in a tertiary surgical centre
Authors: Bhandarkar Kailas , Giuliani Stefano , Cross Kate , De Coppi Paolo , Blackburn Simon , Curry Joe
Published: February 2023

Purpose Management of patients with total colonic aganglionosis (TCA) is challenging for paediatric surgeons. The purpose of this study was to review our institution’s 20-year experience regarding long-term outcomes in these patients.
Methods Retrospective review was conducted for patients diagnosed with TCA. Data was collected on demographics, clinical presentation, complications, need for additional surgery and long-term effects on bowel function.
Results Out of 202 patients with Hirschsprung’s disease (HSCR), 13 were diagnosed with TCA (6.4 %). Clinical presentation was variable - 11 presented in neonatal period and 2 in infancy. Ileorectal Duhamel pull-through was performed in all patients. Median follow up was 13 years. 11 are toilet trained, of whom 5 are fully continent. 6 continue to have problems with bowel continence or constipation. 1 developed recurrent episode of Hirschsprung’s associated enterocolitis (HAEC). 2 patients had stoma re-established. Patients experiencing difficulties in bowel function are jointly managed by a multidisciplinary team consisting of surgeons, gastroenterologists, paediatric psychologists, and clinical nurse specialists.
Conclusions TCA can be associated with significant long-term morbidity. Nearly half of the patients have ongoing problems with bowel continence requiring a permanent stoma in some. Diligent follow-up coupled with multidisciplinary team input has helped manage these patients in our institution.
Design, Modeling, and Analysis of Memory Allocation Policies for Rack-Scale Memory Disaggregation
Authors: Puri Amit , Jose John , Venkatesh Tamarapalli
Published: February 2023

Memory disaggregation architecture is an emerging alternative to the traditional server architecture to address the issue of memory under-utilization in data centers. Memory disaggregation offers a large pool of remote memory connected via high-speed network fabric, thereby allows independent upgrade of memory components. Disaggregated design gives better adaptability of servers to the ever-increasing memory requirement from applications, such as HPC workload, video and big data analytics. However, disaggregrated memory architectures cause significantly large memory access latency due to the limited speed of interconnects currently used. In this paper, we propose a rack-scale disaggregated memory architecture and discuss the various software/hardware design aspects for such an architecture. We analyze the remote memory access latency in this architecture and observe that a significant part of the latency arises out of not only the interconnect, but also due to the contention at the queues of remote memory. To address this issue, we propose two-phase memory allocation policies for disaggregated memory environments that could significantly reduce the average memory access latency, compared to the conventional policies. We built a simulator that uses a trace-based front-end module and a cycle-accurate memory simulator to evaluate the memory access latency in a disaggregated memory system. We conduct experiments with different allocation policies across various benchmarks, representing applications with diverse memory access patterns. Our study shows encouraging results toward adoption of rack-scale memory disaggregation with acceptable memory latency, that could further be reduced with other system-level optimizations.
Assessment of lateral depths and irrigation water levels on yield, yield parameters and biyoethanol content in sweet sorghum
Authors: Polat Begum , Buyuktas Dursun , Karaca Cihan , Aydinsakir Koksal , Erkan Selime Benemir , Turhan Irfan , Bastug Ruhi
Published: February 2023

In this study, it was aimed to evaluate the effects of different lateral depths and irrigation treatments on the bioethanol yield and yield components of the sweet sorghum (Sorghum bicolor L.) in the subsurface drip irrigation method. The experiment was carried out in three replications in a randomized block trial design in 2020 and 2021 in Antalya, Turkey. In irrigation treatments, three different irrigation water levels in which 100%, 66% and 33% of the amount were applied as irrigation water (I1, I2, I3, respectively), when the cumulative reference crop evapotranspiration reached 25±5 mm and lateral depth combinations in which the laterals were placed at two different depths, 25 cm and 50 cm (D1 and D2, respectively) were used. At the end of both years, a statistical difference (p<0.01) was determined between the mean yield components (forage, hay, juice and sugar yield) of different irrigation water levels. As the applied irrigation water level increased, the yield components also increased. While the interaction of lateral depth and irrigation water level affected forage and hay yield in the second year, sugar and juice yield values in the first year. In this study, it was determined that the difference in the effects of the interaction between the years was due to the irregular temperature increases in the second year climate, and the lateral depth of 50 cm was more suitable in drier conditions. At the end of two years, the bioethanol yields and evapotranspiration (ET) obtained in D1 treatments at different irrigation levels varied between 440-2962 L ha-1 and 105.1-473.0 mm, respectively, while it varied between 440-3222 L ha-1 and 105.1-473.0 mm in D2 treatments, respectively. The highest bioethanol yield in the first year was obtained from D1I1, D2I2, D2I1 treatments, while in the second year, from D2I1 was obtained. Considering the I1 treatments, more evapotranspiration was realized in the D1 despite the same amount of irrigation water applied in both years. In addition, when the applications that were irrigated at the same amount at 25 and 50 cm lateral depths in both years were compared, it was determined that water productivity (WP) and irrigation water efficiency (IWP) values obtained at 50 cm lateral depth were higher, except for I3. In this study, it was determined that a lateral depth of 50 cm was more suitable for maximum bioethanol yield, especially in warmer climatic conditions. At the same time, I1 and I2 irrigation levels have been suggested, depending on climatic conditions.
An Efficient Stock Price Prediction Mechanism Using Multivariate Sequential LSTM Autoencoder
Authors: G Rubell Marion Lincy , Selby Nevin , Taparia Aditya
Published: February 2023

In this research, a method is proposed for predicting stock prices using deep learning techniques, specifically the Multivariate Sequential Long Short-Term Memory Autoencoder. This variant of the LSTM neural network model is designed to handle multivariate time series data. This model is able to capture dependencies between variables using the LSTM component, while the autoencoder component is used to learn a useful representation of the data in an unsupervised manner, which can improve the accuracy of stock price predictions. Its sequential structure also allows it to capture temporal dependencies in the data, making it well-suited for time series prediction tasks. The goal of this research is to help investors maximize returns through the identification of stock price trends. This paper also discusses the literature on various time series prediction models and describes the implementation and comparison of several techniques, including Univariate Sequential LSTM (USLSTM), Univariate Sequential LSTM Autoencoder (USLSTMA), Gated Recurrent Unit (GRU), Random Forest, and Generative Adversarial Networks (GAN). These models are compared with the proposed variants of Multivariate Sequential LSTM (MSLSTM), Multivariate Sequential LSTM Autoencoder (MSLSTMA) for market price prediction. In the experiments performed with real stock market data, the MSLSTMA model outperformed all other models in predicting the stock prices.
Comparison of the curative effect of vertebroplasty with spiral and traditional pushrod injector in the treatment of osteoporotic vertebral fractures
Authors: Xiao Ya-Ping , Liu Yong-Qing , Bei Ming-Jian , Chang Jian-Zhong , Li Zhang-Hua
Published: February 2023

Background
Cement diffusion and cement leakage are key and contradictory problems in the vertebroplasty, so vertebroplasty instruments constantly develop to explore the optimal treatment. The purpose of this study was to evaluate and compare the clinical efficacy of percutaneous vertebroplasty (PVP) with spiral bone cement injector and traditional push-rod injector in the treatment of osteoporotic vertebral compression fractures (OVCF).
Methods
A retrospective study was conducted on 86 patients with OVCF who respectively received PVP surgeries with spiral injector (Observation group) and traditional pushrod injector (Control group) from February 2017 to February 2019. The preoperative baseline data, postoperative clinical efficacy, complications and imaging data between the two groups were analyzed.
Results
Follow-up period was two years. The baseline data of the two groups were comparable (all P > 0.05).The anterior edge height and kyphosis angle of the injured vertebrae were significantly improved in both groups after surgery (all P < 0.05). The VAS and ODI in both groups were significantly lower on 3rd day and 2nd year after surgery than those before surgery, and decreased gradually with time (all P < 0.05). The number of fluoroscopy and operation time in the observation group were significantly lower than those in the control group (all P < 0.05). The kyphosis angle and the recovery rates of kyphosis angle, anterior edge height, and posterior edge height in the observation group were significantly improved compared with the control group (all P < 0.05). The rate of bone cement leakage and the diffusion coefficient of bone cement in the observation group were significantly higher than those of the control group (all P < 0.05). The VAS and ODI in the observation group were significantly lower than those in the control group at 3rd day after surgery (P < 0.05), but there was no statistical difference between the two groups at 2nd year after surgery (P > 0.05).
Conclusions
PVP surgery both with spiral injector and traditional pushrod injector can achieve satisfactory outcomes, which could effectively relieve pain of lower back, improve motor function, obviously restore vertebral height and correct kyphosis. However, the spiral injector can remarkably reduce the number of fluoroscopy, operation time, and the radiation exposure dose of patients and operators. In addition, spiral injector is better than pushrod injector in restoring vertebral height, correcting kyphosis, alleviating pain immediately and improving function. But its rate of bone cement leakage is significantly higher than that of traditional pushrod injector, which requires the surgeons to pay close attention to.
Intelligent Simulation and Optimization of Axial Flow Fan Based on CFD
Authors: zhang shengli , sun yupei , he long , wang changhao
Published: February 2023

Based on the CFD simulation of the axial flow fan for air conditioning, a flexible and fast deformation model of axial flow fan is established in this paper. The influence of different fan design parameters on the performance of axial flow fan under different working conditions, such as different speed, air volume and pressure, is studied. A set of intelligent optimization platform for axial flow fan is formed and the performance of a certain type of fan is optimized under the working condition of 22000m3/h flow rate.
Intrahippocampal effects of Aluminum injection on affective and cognitive response in male Wistar rat: Potential role of oxidative stress
Authors: Zghari Oussama , Azirar Sofia , Lamtai Mouloud , Hessni Aboubaker El , Ouichou Ali , Mesfioui Abdelhalem
Published: February 2023

Aluminum (Al) is one of the more widespread metals in the environment used in various fields and the most abundant known for its neurotoxicity in both humans and animals and could be a potential factor inducing behavioral changes, oxidative stress (OS) and loss of synapses and neurons in the hippocampal and cerebral cortical areas. The main objective of this study is to determine the short-term impact of a single 2 μl intracerebral injection of AlCl3 at different doses on the right hippocampus on affective and cognitive behaviour, on levels of oxidative stress and morphological changes in male Wistar rats. Rats were treated with a single intrahippocampal injection of 2 μL of NaCl (0.9%) (Control) or successively with 2 μL of AlCl3 at 0.5 mg/Kg (Al-0.5), 1 mg/Kg (Al-1) and 2 mg/Kg (Al-2). Five days following surgical procedures, neurobehavioral tests were performed for all groups (OFT, EPM, FST, Y-maze and MWM) and the brain were taken to isolate the hippocampus from adjacent tissues to prepare homogenates for the determination of oxidative stress markers and to examine the morphological change in CA3 hippocampal area. The results clearly demonstrate that Al induced anxiety and depressive-like behaviours, cognitive deficit, increased lipid peroxidation (LPO), nitric oxide (NO) levels, decreased superoxide dismutase (SOD) activity in the hippocampus and mediates progressive alterations characterized by disorganization in the pyramidal cellular arrangement and a decrease in neuronal density in the CA3 hippocampal area. In conclusion, a single intrahippocampal injection of Al induced anxiety-like, depression-like, memory impairment, OS and morphological alterations in the hippocampus.
Whether cytidine deaminase of Mycoplasma hyorhinis promotes drug resistance by decomposing gefitinib
Authors: zhang jie , hu weiguo , song qibin
Published: February 2023

Objective: To investigate whether cytidine deaminase (CDD) of Mycoplasma hyorhinis induces gefitinib resistance in epidermal growth factor receptor (EGFR)-mutated lung cancer cells by decomposing gefitinib.
Method: Download the gene sequence of CDD from NCBI (Gene ID: 61335421) and redesign the CDD sequence. The prokaryotic expression vector and eukaryotic expression vector of CDD were constructed respectively. The H1650 cell line with stable expression of CDD(H1650-CDD) was obtained by lentiviral infection and verified by western blotting. The toxicity of gefitinib to different cells was detected by CCK8 assay. The prokaryotic expression vector was transformed into escherichia coli, through protein induction and protein purification, CDD protein was obtained. High performance liquid chromatography (HPLC) was used to detect whether the CDD can decompose gefitinib.
Results: The prokaryotic expression vector and the eukaryotic expression vector were successfully constructed by molecular cloning, and the H1650-CDD cell line was obtained by lentiviral infection. The cytotoxicity of gefitinib on H1650-CDD cells and H1650wt cells was detected by CCK8 assay. The cell viability of H1650-CDD cells show significant differences with H1650wt in 30 (t=4.223, P= 0.0134), 40 (t=15.05, P=0.0001), 50 (t=2.919, P= 0.0433), 60 (t=12.28, P= 0.0003), 70 (t=22.97, P<0.0001), 80 (t=6.648, P= 0.0027) μmol/L gefitinib; HPLC suggests that there was no difference among the control group, the CDD group and the gefitinib group.
Conclusion: H1650-CDD cells were resistant to gefitinib, but CDD protein can’t decompose gefitinib. Since the common mechanism of gefitinib resistance includes changes in EGFR downstream signals, it is speculated that the mechanism of CDD promoting drug resistance in H1650-CDD cells may be related to cell signaling pathway, which requires further study.
Potential microRNA biomarker panel for predicting evolution of pancreatitis to pancreatic ductal adenocarcinoma
Authors: Nuthakki Mira , Utti Vivian , McCalla Serena
Published: February 2023

Purpose
Pancreatitis is one of the most important risk factors for pancreatic ductal adenocarcinoma (PDAC). PDAC is a silent, aggressive malignancy that has less than 5% survival rate at 5 years. Detection at early stage and resection of PDAC significantly improves survival. A differentially expressed microRNA panel was sought that could predict the risk of progression to PDAC from pancreatitis.
Methods
Differentially expressed microRNA (DEM) in serum that were common between pancreatitis and PDAC were extracted from two microarray GSE datasets containing pancreatitis, PDAC, and control samples. Eight groups of DEM were derived from multiple bioinformatics methods such as differential expression, miRNA interaction networks, target gene prediction tools, functional enrichment analysis, and machine learning models. The functional enrichment pathway of these groups were identified.

Results

These groups were trained on the original datasets and were used to predict pancreatic cancer in a validation set consisting of six other GSE datasets containing pancreatic cancer and controls. The miRNA panel with the highest precision and recall was the group derived from the target hub genes with the highest interaction (hsa-miR-28-3p, 320b, 320c, 320d, 532-5p, and 423-5p, with a mean F1 of 0.968, mean recall of 0.99, mean precision of 0.947, and mean AUC of 0.995).

Conclusion

These results provide a potential biomarker to identify and follow individuals at high risk for pancreatic cancer after pancreatitis.
Prediction of survival of advanced dementia patients using the advanced dementia prognostic tool: a 2-year prospective study
Authors: Liu Junjin , Li Xuebing , Yu Weihua , Liu Bei , Yu Wuhan , Zhang Wenbo , Hu Cheng , Qin Zhangjin , Chen Yu , Lü Yang
Published: February 2023

Background
There is a lack of research on life expectancy estimation in advanced dementia patients. In this prospective study, we evaluated the usefulness of the advanced dementia prognostic tool (ADEPT) for estimating the 2-year survival of patients in China.
Methods
Patients were recruited from nursing homes and hospitals in Chongqing, China, and followed up for 2 years. The usefulness of the ADEPT score for predicting the 2-year survival rate was evaluated using the area under the receiver operating characteristic (AUROC) curve.
Results
In total, 115 patients were included in the study. Of these patients, 48 died. The mean ADEPT score was 13.0. The AUROC for the prediction of the 2-year mortality rate using the ADEPT score was 0.62. The optimal threshold of ADEPT score was 11.2, which had an AUROC of 0.63, specificity of 41.8, and sensitivity of 83.3.
Conclusions
The ADEPT score based on a threshold of 11.2 was useful to determine the 2-year survival rate of patients with advanced dementia in Chongqing, China. The survival estimation may be used to improve the treatment of patients.
Global attractor for a fractional nonlinear Klein-Gordon-Schrödinger system
Authors: Missaoui Salah
Published: February 2023

We study the long time behaviour of the solutions for aweakly damped forced nonlinear fractional Klein-Gordon-Schrödinger system
iut + iνu − (−∆)αu + vu − |u|2u = f,
vtt+ γvt + (−∆)αv + v+ v3 − |u|2 = g,
for a given α ∈(1/2, 1) considered in the whole space R. We prove that thissystem provides an infinite dimensional dynamical system in Hα(R) × Hα(R) × L2(R) that possesses a global attractor Aα in the same spaceand more particularly that this attractor is in fact a compact subset of H2α(R) × H2α(R) × Hα(R).
Mathematics Subject Classification (2010). Primary 37L30,37L50; Secondary 35A01
Assessement of Diabetes Related-Knowledge and Practice Among Algerian University Students: A Cross-sectional Study
Authors: Lounis Mohamed
Published: February 2023

Background: Diabetes is increasing significantly in the world especially among low and middle income countries including Algeria. It is ranked second in term of incidence in Algeria with about 2.8 million patients of more than 18 years old.
Methods: This study was conducted aiming to evaluate the level of knowledge and lifestyle practice among Algerian university students. A national online based cross-sectional survey was conducted between 14 November 2022 and 11 February 2023 using a self administered questionnaire.
Results: 417 students finally answered to the questionnaire. Demographically, females (82%), singles (86.1%), those aged between 20 and 30 years old (62.2%) and those living in urban areas (86.8%) were the most represented. More than half were students of bachelor level (52.3%) and were mainly studying Natural and Life Sciences (37.2%) and humanities (29.5%) and 10.6% of them declared living with diabetes.
Overall, an acceptable average percentage of 75.1% correct responses was obtained traducing a score of 41.3+7.354/54 and 54.6% of the respondent have shown a high level of knowledge. If age, the field of study and father education were associated with high level of knowledge, Health Sciences students (OR: 10.175, CI 95%: 2.985-34.677) and diabetics (OR: 10.486, CI95%: 3.424-32.12) were so far highly significant factors. Regarding lifestyle practice, a medium level of good practice of 54.2% defining a score of 4.88+1.971/9 was obtained and the level of knowledge was the only associated factor.
Conclusion: These results described that despite the medium to acceptable levels of knowledge and good practice some gaps exists especially among certain categories especially among students other than those of Health and Natural an Life Sciences. Results of this study could be helpful to the health program deciders in their campaigns of prevention against this silent disease.
THEORETICAL ANALYSIS OF BUSINESS VALUE ADDED VALUATION MODELS
Authors: Novikov V. Novikov V.
Published: February 2023

The purpose of this study is to conduct a theoretical analysis of scientific models of business value added management, based on the estimated indicators of evaluation in the current unstable conditions of economic activity. In addition, among the objectives of the study was an analysis of the reasons and preconditions for the owners and stakeholders to assess the value of the business, identified the components, effective management of which will increase its value and capitalization.
The focus is on management models such as economic value added, market value added, shareholder value added and value added cash flow. It is established that each of the indicators used in the model has its own characteristics, which are its advantages and disadvantages. For example, it was found that the indicator economic value added is the most used among all indicators due to the availability of analytical data, taking into account many aspects of the enterprise, which provides stakeholders with the necessary amount of information for decision-making. At the same time, its calculation requires performers of high analytical accuracy and meticulousness. In addition, this model is similar to the joint-stock management model. Both focus primarily on foreign economic, market factors influencing asset value and investment attractiveness among potential investors. It was found that the value-added model of cash flow allows to better understand, based on finding the net cash flow, the initial value of net assets and the weighted average rate of capital financing, how cash flow from investments exceeds the cost of attracting them, informing owners, shareholders and others liquidity of the business and prospects for its value growth.
Therefore, a conclusion is made on further research on improvement, unification of existing management models in conditions of instability.