bluuebunny/crossref_metadata_2025 huggingface dataset:
Heartbeat Signal Classification via Ensemble Learning
Authors: Hong Feihong
Published: August 2022

As the enhancement of life conditions, the incidence of heart-related diseases is increasing now. And ECG data is a valuable and easily accessible heart data that can predict heart-related disease occurrence. Hence, it is of great importance to classify heartbeat signal data to prevent the negative effect of heart diseases. This paper proposed a multi-classification model via ensemble learning, integrated learning, and SMOTE sampling. By testing and validating the model on the ECG dataset, our model achieves lower metric scores and better prediction performance, accurately classifying heartbeat signals on a dataset with 250 thousand records.
Research on stock index forecasting based on ARIMA-GARCH and SVM mixed model
Authors: Cao Xin , Zhao Ziqing
Published: August 2022

With the development of information technology, financial forecasting is the research direction of traditional mathematical statistics and combines emerging data mining technologies such as machine learning and deep learning to make forecasts. This paper starts from the traditional time series model , which can handle the conditional heteroscedasticity of time series data and combines the advantages of a support vector machine (SVM) that can handle the nonlinear part of financial time data . Stock market forecasts. In order to test the prediction effect of the model and compare traditional prediction methods with modern machine learning prediction methods, this paper establishes ARIMA-GARCH, SVM, and the combination ARIMA-GARCH- SVM model of these two types, respectively.
Research on Quantitative Trading Decision Based on BP Neural Network and Circular Decision Model
Authors: Wu Haoyang , Zhang Yizhe , Zhong Xiaohui
Published: August 2022

Market traders usually buy risky assets in order to achieve rapid asset appreciation. In this paper, we build a BP Neural Network Model (BPNNM) and Ci. color Decision Model (CDM) provides investors with optimal strategies by analyzing historical prices, risks, and other factors of gold and bitcoin. Firstly, we build a BP neural network to predict the closing price of gold and bitcoin. We make full use of all available data up to that day. Eight consecutive days of closing price are selected as training data (the closing prices of the first to seventh days are used as input data and the eighth day as output data). Accordingly, we utilize the BP neural networks to predict the next day's closing prices of gold and bitcoin, respectively, passing the reliability and validity tests (R2 > 0.99). Multi-objective nonlinear programming was established with the data predicted by the BP neural network. The objective is to maximize the next day's return and minimize the risk. Subsequently, we looped the multi-objective nonlinear programming daily to build a CDM which is solved to obtain the optimal strategy. The results show that we have an average annualized return of 172.73%.
Research on Marketing Strategy of Electric Vehicle Based on Bayesian Processing and Natural Language Analysis
Authors: Cao Chengyi
Published: August 2022

The automobile industry is an important pillar of the national economy, and the new energy automobile industry is a strategic emerging industry. This paper carries on the mathematical modeling analysis of the new energy electric vehicle. First of all, using the naive Bayesian processor in natural language processing, make a judgment through theme analysis and emotion analysis, define the coefficient into the model, and finally compare target customers' satisfaction with different brands of cars. Then use DBSCAN and UMAP algorithm to divide the fluctuating data index on the sequence, analyze its linkage by establishing linkage factor to study its correlation degree, and then quantify the problem, establish abnormal coefficient, analyze the persistence of data run out for a single index, and establish an algorithm for evaluating abnormal coefficient. According to the distribution of different data indicators, the impact index of different factors on the sales of different brands of electric vehicles is determined.
Research on The Comprehensive Planning Model of Gold and Bitcoin
Authors: Rong Sidi , Sun Tianyou , Hui Dai
Published: August 2022

In this paper, we preprocessed the data for outliers and added the prices of gold and bitcoin to the training. At the same time, based on the price of the day, we also established a strategy model based on the Sharpe ratio and particle swarm algorithm. We established a comprehensive planning model for cash, gold, and Bitcoin through the planning process. A particle swarm algorithm simulated the optimization process, and the optimal solution was found. Finally, through the sensitivity analysis, we found that as the transaction fee increases, the number of transactions of gold and Bitcoin decreases significantly, and the value decreases.
Development of Compliant Control Technology in Space Capture
Authors: Tan Qingdu , Wei Haotian
Published: August 2022

Based on the background of compliance control, this paper first introduces compliance control's significance, then analyzes the advantages and limitations of the current mainstream compliance control, including Impedance control, Force/position hybrid control, Modern, compliant control, Intelligent, compliant control. Moreover, this paper puts forward the limitations and the possible development direction of these schemes.
A Study on the Impact of China's Digital Inclusive Finance on Green Finance in Guangdong Province Based on ANN-MLP Algorithm
Authors: Ma Yingwei , Chen Zihong , Zhu Jijia
Published: August 2022

Green financial markets and products play an essential role in financial support for high-quality development and the construction of ecological civilization as practical subjects for realizing a green economy. This paper selects Guangdong Province as the research object, and based on a total of 120 data on various indicators of green finance and digital inclusive finance in Guangdong Province from 2011 to 2020, it firstly establishes green finance and digital inclusive finance indicator system, and combines the neural network technology based on multi-layer perceptron (MLP) to build a prediction model of the impact of digital inclusive finance on green finance in Guangdong Province. After the model training and measurement, eight important diagrams of independent variables were finally obtained to illustrate the impact of digital inclusive finance on green finance respectively. This provides a theoretical reference for the government to introduce relevant policies to support the development of digital inclusive finance and green finance.
Research Based on vehicle exhaust emission estimation
Authors: Xu Xiusheng , Zhang Laixin , Tang Tianyi
Published: August 2022

With the development and progress of society, short-term traffic flow prediction has become an increasingly important topic. Accurate prediction of traffic flow can not only provide necessary guidance for the transportation department, but also bring convenience to travel, but also play an important role in the prevention and control of urban air pollution. This paper mainly studies the prediction of vehicle flow, and then estimates the vehicle exhaust through the calculated vehicle flow, trying to establish the estimation model of vehicle flow and vehicle exhaust. Through Gaode map interface and WGS-84 (GPS) coordinates of each bayonet provided, the road name corresponding to the bayonet equipment is obtained according to the distance vector, and the data is preprocessed. For the interval road motor vehicle flow, the dynamic prediction can be realized by using the interdependence between the time series observations. According to the time dimension of prediction, traffic flow prediction can generally be divided into long-term traffic flow prediction (in year), medium-term traffic flow prediction (in month and day) and short-term traffic flow prediction (in hour and minute). According to the data provided, due to the weak regularity of short-term traffic flow data of interval roads, strong random error interference, and high uncertainty, it is difficult to predict accurately, The long-term and medium-term traffic flow data have strong periodicity and weak random interference. Considering the accuracy and data provided, this paper mainly selects the prediction method based on endogenous variables represented by autoregressive moving average model ARIMA and time cycle neural network LSTM. Because the use conditions of the two models are different, it is necessary to improve the model and modify the use scenario of the model. The advantage of this method is that the data acquisition cost is low and easy to implement. Finally, the prediction effect of traffic flow is evaluated by cellular automata to improve the performance of the model.
Pulmonary inflammation region detection algorithms based on deep learning: a review
Authors: Fang Tianqi , He Xuanyu , Xu Lizhe
Published: August 2022

With the popularity and development of object detection in deep learning, it is used in more and more industries, including the field of medical science. This paper summarizes the target detection algorithms for the pneumonia region. Firstly, this paper briefly introduced the existing detection methods of target detection and summarized the main pneumonia datasets and image preprocessing methods. Then we focused on the framework composition and detection effect of the main model. Finally, through experimental analysis, we proposed to apply some new models to the detection of pneumonia and used some improvements and techniques to improve the detection effect.
Convolution Neural Network Method for Skin Cancer Diagnosis: Comparison and Improvement
Authors: Li Xiang , Pang Jiazhi , Meng Jiahui , Meng Jiahui , Zhang Jiale
Published: August 2022

Skin cancer, the most common cancer in the world, has many detection steps and the detection process is easy to make mistakes. A detection method based on convolutional neural network (CNN) is proposed to assist doctors in the detection. Based on the development of CNN in the classification and diagnosis of skin cancer in recent years, this paper compares and summarizes the development of each step in this process. After reviewing previous papers, it can be concluded that the classification process is roughly divided into four parts. In addition, the evaluation indicators of the model are further analyzed. AUC Sen and SPE are the most basic evaluation indicators in the model evaluation. As a skin classifier, CNN improves the accuracy of classification and diagnosis results to a great extent. CNN model has also made progress in "lightweight" and "concise". However, there are few evaluation indicators available for different CNN methods, and the evaluation latitude is relatively single. In the future, the evaluation indicators should develop in more aspects, it will enable to better understand the personality of a CNN model.
Improving the Pulmonary Nodule Classification Based on KPCA-CNN Model
Authors: Jiang Peichen
Published: August 2022

Lung cancer mortality, the main cause of cancer-associated death all over the world, can be reduced by screening risky patients with low-dose computed tomography (CT) scans for lung cancer. In CT screening, radiologists will have to examine millions of CT pictures, putting a great load on them. Convolutional neural networks (CNNs) with deep convolutions have the potential to improve screening efficiency. In the examination of lung cancer screening CT images, estimating the chance of a malignant nodule in a specific location on a CT scan is a critical step. Low-dimensional convolutional neural networks and other methods are unable to provide sufficient estimation for this task, even though the most advanced 3-dimensional CNN (3D-CNN) has extremely high computing requirements. This article presents a novel strategy for reducing false positives in automatic pulmonary nodule diagnosis from 3-dimensional CT imaging by merging a kernel Principal Component Analysis (kPCA) approach with a 2-dimensional CNN (2D-CNN). To recreate 3-dimensional CT images, the kPCA method is utilized, with the goal of reducing the dimension of data, minimizing noise from raw sensory data while maintaining neoplastic information. The CNN can diagnose new CT scans with an accuracy of up to 90% when trained with the regenerated data, which is better than existing 2D-CNNs and on par with the best 3D-CNNs. The short duration of training, and certain accuracy shows the potential of the kPCA-CNN to adapt to CT scans with different parameters in practice. The study shows that the kPCA-CNN modeling technique can improve the efficiency of lung cancer diagnosis.
The Compression Techniques Applied on Deep Learning Model
Authors: He Haoyuan , Huang Lingxuan , Huang Zisen , Yang Tiantian
Published: August 2022

In recent years, the penetration rate of smartphones has gradually completed, artificial intelligence is the cutting-edge technology that can trigger disruptive changes. Deep learning neural networks are also starting to appear on mobile devices. In order to obtain better performance, more complex networks need to be designed, and the corresponding models, computation and storage space are increasing, however, the challenges of resource allocation and energy consumption still exist in mobile. The techniques for compressing deep learning models are quite important, and this paper studies a series of related literatures. This paper reviews deep learning-based deep neural network compression techniques and introduces the key operational points of knowledge extraction and network model on the learning performance of Resolution-Aware Knowledge Distillation. In this paper, a low-rank decomposition algorithm is evaluated based on sparse parameters and rank using the extended BIC for tuning parameter selection. This paper discusses the reduction of redundancy in the fully connected and constitutive layers of the training network model by pruning strategies.Moreover, this paper presents the quantization techniques and a neural network that quantifies weights and activations by applying differentiable nonlinear functions.
Analysis of Pruning Optimization Technology Based on Deep Learning
Authors: Qin Tian , Zhang Jiang , Zhu Xihua
Published: August 2022

Neural network models have become a major topic in many areas in recent years due to their excellent problem-solving ability. However, during the training process in the real application, neural network models usually have relatively high requirements on the performance of the platform, which limits their applications, especially in battery-driven devices or embedded platforms with relatively weak performance. Therefore, the importance of optimizing and pruning neural network models is very important. This paper analyzes four categories of pruning techniques, including channel pruning, neuron pruning, weight pruning and layer pruning. This paper investigates its main ideas and particular pruning methods and compares the optimised effects of these pruning techniques in different neural network models through experiments. This paper discusses neuron pruning on the VGG-16 model, weight pruning on ResNet and AlexNet, and layer pruning on the YOLOV3 model, respectively. The parameter amount and inference speed before and after pruning are compared, and the accuracies drop before and after pruning are verified on data sets such as CIFAR-10.
Advances in the treatment of chronic atrophic gastritis with a combination of Chinese and Western medicine and the public health implications
Authors: Ma Mingyi , Qi Jingjing , Jiang Rongqin
Published: August 2022

Chronic atrophic gastritis (CAG) is a disease characterized by atrophy of the gastric mucosa and reduction of intrinsic glands, accompanied by intestinal hyperplasia and/or pseudopyloric glandular hyperplasia, and is a common clinical gastrointestinal lesion that can be produced by the interaction of multiple factors. The pathogenesis of CAG has not been completely clarified, and there are no specific drugs or treatment methods, and the disease is prone to recurrence. The pathogenesis of CAG is not fully understood, and there is no specific drug or treatment, and the disease is prone to recurrence. This paper reviews the treatment progress and public health implications of Western medicine, Chinese medicine, and the combination of Western and Chinese medicine in the treatment of chronic atrophic gastritis, in order to provide some reference for the clinical treatment and public prevention of chronic atrophic gastritis.
Forensic Toxicology of Typical Drugs in Drug-Facilitated Sexual Assault
Authors: Chen Yushu
Published: August 2022

Drug-Facilitated Sexual Assault (DFSA) refers to sexual offense without consent when victim is under the effect of different drugs, especially ones that disable them to give consent (physical or psychological inhibition). Drugs are either added to victims’ drinks or other products without their notice or consumed by the victims voluntarily. This review introduces γ-hydroxybutyrate (GHB) and cannabis, two of the most common drugs used in DFSA, including their drug mechanism, metabolism, forensic detection and treatment. Both GHB and cannabis influence mainly central nervous system, including GABA receptors and CB receptors, altering the victims’ psychoactive functions, thus making them more vulnerable to sexual assault. The challenges found in forensic detection of drugs make the cases of DFSA underestimated and accusations difficult to confirm. More research on GHB’s antidote, cannabis’s metabolism mechanism is needed. Measures to ensure the forensic exams are done promptly for both victims’ health and preserving evidence for legal purposes is needed as well, along with statistics on reported cases.
The Impact of Climate Change on The Bioavailability of Environmental Toxins and Their Toxicological Effects
Authors: Geng Zihan , Li Haoyuan
Published: August 2022

Climate change has become one of the biggest challenges for the 21st century. Global warming, sea level rise, changes in weather conditions, and atmospheric contamination caused by climate change not only have impacts on nature but also present threats to human health. Climate change can influence the generations and distribution of some representative toxic compounds with specific examples, including heavy metals (arsenic and manganese), persistent organic pollutants (POPs), air pollutants, and biotoxins (domoic acid and β-N-methylamino-L-alanine). This review discusses how the effects of climate change drive the production and spread of toxic substances that enter the human body through different means as well as presents the biochemical mechanisms and experimental evidence of their toxicological effect on human health, which provides an insight on climate change allowing toxic substances to enter human body and calls on readers to understand and pay attention to climate change from a more comprehensive aspect
The Impact of COVID-19 on Hermès and its Response
Authors: Xia Wenxin
Published: August 2022

In the face of the sudden epidemic, the luxury industry was caught off guard and suffered a major blow. This article takes Hermès as an example to study the impact of COVID-19 on luxury brands and their response to the crisis, aiming to explore the future of luxury brands.
Performance comparison of mainstream catalysts in the CO2 hydrogenation of CH3OH
Authors: Chen Heyu , Lyu Wanni , Zhang Lingyi
Published: August 2022

Carbon dioxide capture, utilisation and storage (CCUS) has been a hot topic in recent years and among the products derived from carbon dioxide conversion, methanol is favoured by many scientists for its wide range of applications. Scientists are also looking for different types of catalysts to complete this conversion process more efficiently. This paper compares the selectivity, yield and stability of oxide supported metal catalysts, oxide supported oxide catalysts and other typical catalysts to identify the most favourable catalysts that could be used for industrial production in the future. Through this comparison, In-Co/Ce catalysts are one of the most beneficial options.
Synthesis, Catalysing and Application of Functional Carbon Dioxide-based Polymers
Authors: Liang Yawei , Lu Yibing
Published: August 2022

CO2 has the characteristics of low chemical activity and dynamic stability, and it is difficult to activate. Despite of these difficulties, it has attracted increasing attention to make the most of CO2, which is a potentially renewable resource. CO2-based polymers have superior functions and a wide range of uses. the rational utilization of CO2 can not only alleviate the environmental problems caused by emissions, but also be a vital measure of human energy utilization. Meanwhile, in view of the low chemical activity of carbon dioxide, to achieve the synthesis of CO2-based polymer, the study of catalyst is essential. This paper mainly summarizes the research progress of CO2-based biodegradable plastics and application of different catalysts in the process of synthesis, including using porous hyper crosslinked polymer supported Ionic liquids to catalysis the synthesis of CO2-based biodegradable plastic, which has the most promising development prospect. But realizing the industrialization of the synthesis of biodegradable plastics from carbon dioxide is still in dilemma. In addition, the article also introduces a kind of CO2-based hyperbranched poly prodrug molecule, while the future development prospects of other CO2-based polymers may apply in the biomedical field are also prospected. If CO2-based polymers applied in biomedicine area can be realized, it will be a major milestone in the history of human health study.
The Therapy of Osimertinib for EGFR Mutation—Non-small Cell Lung Cancer
Authors: Lin Weiying , Lin Zhuoyi , Zhang Mengxue
Published: August 2022

Lung cancer is still a disease cause of human beings mortality. Lung cancer is divided into numerous kinds, with non-small cell lung cancer (NSCLC) accounting for up to 85% of cases. KRAS,ALK,HER2, and PD-1 are currently identified targets for NSCLC therapy. And the therapy of lung cancer, molecular-targeted medicines have recently demonstrated encouraging outcomes and NSCLC was treated with a variety of molecular targeted drugs. In NSCLC, EGFR mutations are also quite prevalent. The human epidermal growth factor receptor (EGFR) belongs to the HER receptor family. When epidermal growth factor (EGF), transforming growth factor (TGF) and other ligands combine with EGFR, the downstream signaling pathway is activated, thereby regulating cell growth, proliferation, migration, anti-apoptosis. EGFR-TKI-targeted medicines are currently the most common treatment for NSCLC with an EGFR mutation. EGFR-TKI medicines of the first and second generations, such as erlotinib, gefitinib, and afatinib are used to treat EGFR NSCLC as first-line drugs. However, due to the emergence of medication resistance, a novel EGFR mutation -T790M has emerged. As a result, the EGFR-TKI medication has been upgraded to the third generation. The most representative of the three generations of medicines is osimertinib. It inhibits EGFR growth by targeting both EGFR and T790M mutant sites. Osimertinib also lessens some drug toxicity when compared to earlier first- and second-generation medicines. In this review paper, we will provide background information about EGFR NSCLC and the three generations of medications used to treat it.
Toxicities of Pembrolizumab in Cancer Patients
Authors: Jiang Dexin , Lyu Yidan , Miao Rui , Wang Ruoyun
Published: August 2022

Pembrolizumab is a humanized anti-PD1 monoclonal antibody that has been approved for immunotherapy of malignant melanoma, classical hodgkin lymphoma, non-small cell lung cancer, etc. However, the toxicity of pembrolizumab has been demonstrated in preclinical and clinical studies. The main side effects of pembrolizumab are related to the activation of various immune cells in the body. The triggered immune system may attack healthy organs, such as the livers, lungs and kidneys. The resulting toxic reactions can cause varying degrees of damage to the patient's body and need to be taken seriously. In response to the toxic side effects of pembrolizumab, discontinuation of the drug is often taken in conjunction with symptomatic treatment, and the herb is a potentially effective drug in many related diseases. In general, the side effects of immune checkpoint inhibitors are relatively minor and serious toxicities are rare, but some of the serious toxicities are fatal. Therefore, early detection and treatment of adverse reactions are of great interest, and mechanisms as well as treatments of toxicity of pembrolizumab requires further studies.
Effects of Processing and Storage on effective Components of Pogostemon cablin
Authors: Zheng Hai , Huang Yicheng , Wang Ruyi
Published: August 2022

The content changes of volatile oil and patchouli ketone under Processing and storage of patchouli were compared. Sweating can increase the accumulation of effective substances in patchouli. The cost of controlled atmosphere storage is low, which can reduce the loss of effective components. To provide scientific reference for the improvement and formulation of the production technical specification of patchouli.
Ecclesiastical properties as common goods. A challenge for the cultural, social and economic development of local communities
Authors: Dimodugno Davide
Published: August 2022

SUMMARY: 1. Introduction - 2. The temporal goods of the Church and the principle of subsidiarity - 3. The notion of common goods in Italy - 4. Some practical cases of ecclesiastical heritage as common goods in Italy- 5. A comparative perspective with Belgium: the strategic plans for the future of churches in Flanders - 6. Future perspectives and conclusions.

ABSTRACT: According to recent studies, there are about 600,000 places of worship and several thousands of monasteries and convents in Europe. The process of secularization, the decrease and displacement of the population, the reduction of vocations to the sacred life can be held responsible for the redundancy of the assets of the Catholic Church. These buildings represent an impressive heritage of faith, work and creativity of the communities which made them over the centuries. Most of them are considered as “cultural heritage” by the legislation of the European States, because of their historical, cultural and artistic values. Up to now, the main solution to this phenomenon has consisted in the alienation of these properties. However, the selling and the disposal of these goods by ecclesiastical bodies cannot always be the only and preferable solution. Drawing from the analysis of some case studies in Italy, this paper aims to investigate the role of civil society participation in the regeneration process and the possibility of applying “collaboration pacts” for the management of “common goods”. In the light of the European scope of the phenomenon, a comparison is proposed in line with the legal instrument of “strategic plans”, drawn up by the diocesan bishop and local authorities in Flanders (Belgium).
ON THE UNDERSTANDING OF AEOLIAN SEQUENCE STRATIGRAPHY: AN EXAMPLE FROM MIOCENE-PLIOCENE DEPOSITS IN PATAGONIA, ARGENTINA
Authors: FREIJE RUBEN HUGO , ZAVALA CARLOS
Published: August 2022

Upper Tertiary aeolian strata (Río Negro Formation) outcrop in extensive sea cliffs at the Northeast of Patagonia. These outcrops show deposits corresponding to a complete suite of aeolian and aeolian related sub-environments, and also provide excellent exposures to analyse the sedimentology and internal architecture from a sequence stratigraphic point of view. Field studies, supplemented withline-drawings of oblique photographs, allowed the recognition of seven aeolian depositional sequences within the succession, each one bounded by regional super surfaces (or deflation surfaces). Internally these aeolian sequences display a cyclic recurrence in facies, that yields a tentative genetic model for their evolution. As documented from field examples, each basic aeolian depositional sequence was deposited during a single aggradational period, and is bounded by unconformities related to degradational periods. Degradational periods are regional deflationary events, that resulted in deep-scoured to flat surfaces, characterised by erosion / non deposition in which the only recognised accumulation is isolated and large angular blocks of fine-grained aggregates, interpreted as residual remnants of deposits of the previous sequence. Aggradational periods are characterised by a near- continuous accumulations responsible for the sequence building. Differences in the aeolian sediment budget to the area and the rising rate of water table control the related facies types, and allow to discriminateearly and late aggradational sub-periods. Early aggradational sub-periods form under conditions of relatively fast rising water tables associated with moderate aeolian sediment budget, thus resulting in the development of extended wet interduneslaterally associated with aeolian dunes and dry interdunes. During late aggradational sub-periods, the depositional surface outdistanced the water table, and aeolian dunes and dry interdunes tend to predominate. This sub-period is also characterised by an upward tendency to stabilisation, evidenced by the common occurrence of palaeosols in upper levels. Although the preserved thickness of each aeolian sequence is closely related to the average subsidence rate, the internal facies evolution suggests an overall climatic control for their origin.
Un team di infermieri dedicato alla gestione degli accessi vascolari
Authors: Cerardi Ilaria , Gadda Giorgio
Published: August 2022

INTRODUZIONE: L’ accesso vascolare difficile si manifesta nel 30% degli assistiti che necessitano un accesso vascolare. E’ una condizione clinica che determina l’esecuzione di molteplici tentativi di incannulamento della vena. La gestione è affidata ad un team infermieristico dedicato con competenze avanzate nell’impianto di cateteri venosi periferici (CVP), PICC e Midline tramite tecnica ad ultrasuoni. OBIETTIVO:Effettuare un’analisi della letteratura indagando outcome e benefici della gestione di questi assistiti da parte di un team infermieristico con competenze avanzate negli accessi vascolari. METODI: Sono state consultate le banche dati PubMed, CINAHL, EMBASE, Cochrane Library, ILISI e Web of Science ed i siti ufficiali dell’ INS e del GAVeCeLT. RISULTATI: Sette studi sono stati inclusi. Il team è composto in media da 15 infermieri e 4 medici specialisti. Emerge un tasso di successo della procedura al primo tentativo dell’88-100% ed una riduzione del 90% e 70 % dei tassi di CLABSI e infezioni catetere-correlate. In media il 44.1% dei device sono stati rimossi per termine del trattamento. L’ attesa del device idoneo si è ridotta dell’ 80%. Il tasso medio di soddisfazione è risultato dell’ 88.23% (score medio registrato 8.56/10) ed una media di 2.85/10 per il dolore percepito. Le aziende hanno riportato una riduzione media di 261.358,27 euro/anno sulle spese aziendali. CONCLUSIONI: Un team dedicato per gli accessi vascolari difficili rappresenta una risorsa fondamentale per l’ erogazione di cure di qualità grazie ad una gestione tempestiva, una riduzione dei tassi di complicazioni, un’ ottimizzazione del timing assistenziale e delle spese aziendali.
Carcinoma de Células Renales en Riñón Ectópico Pélvico. Reporte de Caso y Revisión de la Literatura
Authors: Mendez Canales Elsa Raquel , Ictech Diek Salvador , Chinchilla Reyes Daniel
Published: August 2022

Objetivo: Presentar el caso clínico de un paciente con carcinoma de células renales en riñón ectópico pélvico derecho que ameritó nefrectomía radical abierta en el servicio de Urología en el Hospital del Valle. Antecedentes: La ectopia renal pélvica se encuentra en 1 de cada 2150 a 3000 autopsias. El carcinoma de células renales representa un 2% a 3% de las neoplasias malignas en adultos; sin embargo, el hecho que ambas patologías confluyan es un hallazgo inusitado. Materiales y Metodos: Reportamos el caso, estudios de imagen y fotografías clínicas de un paciente masculino de 50 años obeso, hipertenso, diabético, no fumador, sin exposición ocupacional, que comenzó a referir dolor abdominal de tipo difuso durante 2 semanas, cuya intensidad progreso de moderada a severa, manejado en el servicio de urología del hospital del Valle. Resultados: El paciente presenta una evolución satisfactoria hasta la fecha, resolviendo su dolor abdominal y con adecuada función renal. Conclusiones: La nefrectomía radical abierta fue una adecuada intervención terapéutica para este paciente con carcinoma de células renales en riñón ectópico pélvico. Se realizó una revisión actualizada de los casos reportados a nivel mundial, siendo este el primero en Honduras y Centroamérica.
The Role of Off-centering Behavior and Acoustic-Optical Phonon Coupling in Heat Transport
Authors: Xie Hongyao
Published: August 2022

Understanding the nature of phonon transport in solids and exploring the way to minimize the thermal conductivity are important in many fields, including the development of efficient thermoelectric materials. For a long time, the contribution of optical phonons to the lattice thermal conductivity is considered to be very small and negligible. Until recent decade, a series of studies have shown that, for some materials with special electronic configuration, optical phonons can dramatically affect the lattice thermal conductivity. Specifically, in these materials, part of their cations would be off-centering from their equilibrium positions and lead to the local distortion of the coordination structure. This off-centering behavior would introduce some low-frequency optical phonons, which can couple with the acoustic phonons and cause additional phonon scattering, thus, it is very effective to suppress the lattice thermal conductivity. This perspective clarifies the lattice dynamics of off-centering behavior and illustrates how this off-centering behavior could lead to the acoustic-optical phonon coupling. This paper also demonstrates the off-centering behavior can be introduced into a material by using the lone pair element doping and the weak sd3 orbital hybridization, and proposes a strategy to design materials with low thermal conductivity based on this.
Avoimen yliopiston kautta tutkintoon – toimijuutta kasvatustieteen opiskelijoiden opinpoluilla
Authors: Syrjämäki Marja , Kontu Elina , Laine Anu
Published: August 2022

Tässä artikkelissa esiteltävän tutkimuksentavoitteena on tunnistaa toimijuutta ja tulkita toimijuuskäsitettä opiskelijoiden tuottamissa haastattelukertomuksissa. Artikkeli pohjautuu kuuden, avoimen yliopistonopintojen perusteella yleisen kasvatustieteen ja aikuiskasvatustieteen tai erityispedagogiikan pääaineopiskelijoiksi hakeutuneen ja opintojensa eri vaiheessa opiskelevan henkilön haastatteluihin. Artikkelissa tarkastellaan kasvatustieteen opiskelijoiden opinpolkuja ja sitä, miten toimijuus haastattelukertomuksissa näyttäytyy — toisaalta yksilön sisäisten, toisaalta ulkopuolelta tuotettujen arvojen, tavoitteiden ja reunaehtojen ohjaamana. Artikkelin teoreettisina lähtökohtina on hahmoteltu toimijuuden ja elinikäisen oppimisen moniulotteisia käsitteitä. Puolistrukturoiduissa teemahaastatteluissa tuotettua aineistoa luettiin kertomuksina ja analysoitiin teoriaohjaavasti, käyttäen analyyttisena kehyksenä Hitlinin ja Elderin neljän toimijuustyypin mallia sekä soveltaen suuntaa antavasti Greimasin aktanttimallia. Analyysin perusteella tunnistettiin kuusi erilaista toimijakertomusta, jotka paikantuivat kolmella tavalla: hallitun toimijuuden, tavoitteisen toimijuuden ja vahvistuneen toimijuuden polkuina.
Apocalypse or Zion? How Eschatology Affects Attitudes toward Social Peace Among Members of the Church of Jesus Christ of Latter-day Saints
Authors: Ford Chad , Timothy Boyd , Bordás-Simon Réka , Tilton Zach
Published: August 2022

Members of the Church of Jesus Christ of Latter-day Saints (LDS) hold differing eschatological views in relation to the role of God and His followers in ushering in the Second Coming of Christ and a thousand years of peace. Some emphasize the human responsibility to create peaceful conditions on earth to usher in Christ’s return (Human Action eschatology), others emphasize the role of Christ in creating peaceful conditions on earth upon His return (Divine Action eschatology), and others view peace as the result of both human and divine action with equal emphasis (Co-participation eschatology). In this study, we compare differences in personal attitudes of intrapersonal, interpersonal, and social peace across these eschatologies. Four hundred and five LDS participants completed the Eschatological Attitudinal Survey (EAS), the Congruence Scale, the Prosocial Personality Battery, and the Social Justice Scale. Participants with a Divine Action eschatology scored higher on measures of intrapersonal peace and lower on measures of social peace. Conversely, participants with a Human Action eschatology scored lower on intrapersonal peace and higher on issues of social peace. By contrast, participants with a Co-participation eschatology were more likely to give equal weight to all three measures of peace: intrapersonal, interpersonal, and social.
Rezin Matriks Seramiklere Uygulanan Yüzey İşlemlerinin Bağlanma Dayanımına Etkisi
Authors: YALÇIN ÇETİN Gözde , NALBANT A.dilek
Published: August 2022

Günümüz diş hekimliği uygulamalarında en sık tercih edilen restorasyon materyali tam seramiklerdir. CAD/CAM uygulamalarındaki gelişmelerle birlikte materyal çeşitliliği ve kullanım alanları genişleyen tam seramik sistemler metal destekli seramikler için alternatif oluşturmaktadır. Rezin matriks seramikler direkt ve indirekt restorasyonlarda sık tercih edilen iki materyalin avantajlarını bir araya getirmeyi amaçlamaktadır. Seramik ve kompozitin olumlu özelliklerini bir araya getiren bu materyaller kolay işlenebilirlik, iyi marjinal uyum, yüksek mekanik direnç ve tamir edilebilirlik gibi avantajlara sahiptir. Tüm restorasyonlarda olduğu gibi tam seramiklerde de başarılı bir restorasyon için başarılı bir bağlanma gereklidir. Rezin matriks seramiklerde adeziv bağlanma önerilmektedir. Adeziv bağlanmanın başarısı uygulama yapan hekimin bilgi ve becerisine, izolasyon koşullarına, doğru materyal seçimine ve simantasyon öncesi gerekli yüzey hazırlıklarının yapılmış olmasına bağlıdır. Başarılı adeziv bağlantı için simantasyon öncesinde uygulanan yüzey hazırlıkları bağlanma dayanımı değerlerini oldukça arttırmaktadır. Bu yüzey işlemleri; mekanik, kimyasal veya hem mekanik hem kimyasal olabilmektedir ve materyal içeriğine uygun olarak seçilmelidir. Rezin matriks seramikler için simantasyon öncesinde yüzey işlemi ve silan uygulaması önerilmektedir.
Deep Learning Analysis for Estimating Sleep Syndrome Detection Utilizing the Twin Convolutional Model FTC2
Authors:   Gimnazija Brešice, Brežice, Slovenia, Tim Cvetko , Tinkara Robek ,   Gimnazija Brešice, Brežice, Slovenia
Published: August 2022

Manual sleep stage scoring is frequently performed by sleep specialists by visually evaluating the patient's neurophysiological signals acquired in sleep laboratories. This is a difficult, time-consuming, laborious process. Because of the limits of human sleep stage scoring, there is a greater need for creating Automatic Sleep Stage Classification (ASSC) systems. Sleep stage categorization is the process of distinguishing the distinct stages of sleep is an important step in assisting physicians in the diagnosis treatment of associated sleep disorders. In this research, we offer a unique method a practical strategy to predicting early onsets of sleep disorders, such as restless leg syndrome insomnia, using the Twin Convolutional Model FTC2, based on an algorithm composed of two modules. To provide localised time-frequency information, 30 second long epochs of EEG recordings are subjected to a Fast Fourier Transform, a deep convolutional LSTM neural network is trained for sleep stage categorization. Automating sleep stages detection from EEG data offers a great potential to tackling sleep irregularities on a daily basis. Thereby, a novel approach for sleep stage classification is pro- posed which combines the best of signal processing statistics. In this study, we used the PhysioNet Sleep European  Data Format (EDF) Database. The code evaluation showed impressive results, reaching accuracy of 90.43, precision of 77.76, recall of 93,32, F1-score of 89.12 with the final mean false error loss 0.09. All the source code is availlable at https://github.com/timothy102/eeg.
Role of Artificial Intelligence in Supply Chain Management
Authors:   Sanjivani College of Engineering, Department of MBA, Kopargaon, Maharashtra, India, Niraj C. Chaudhari
Published: August 2022

The term supply chain refers to a network of facilities that includes a variety of companies. To minimise the entire cost of the supply chain, these entities must collaborate. This research focuses on the use of Artificial Intelligence techniques in supply chain management. It includes supply chain management examples like as demand forecasting, supply forecasting, text analytics, pricing panning, and more to help companies improve their processes, lower costs and risk, and boost revenue. It gives us a quick rundown of all the key principles of economics and how to comprehend and use them effectively.
Percepción y distorsiones del socialismo en ciudadanos de Cuenca, Ecuador
Authors: Vilchez Jose
Published: August 2022

El estudio exploró las percepciones en torno al socialismo tanto de hombre y mujeres residentes en la ciudad de Cuenca, Ecuador. La técnica de recopilación de información fueron los grupos focales. En total se conformaron cuatro grupos focales con 20 participantes en total con edades comprendidas entre los 19 y 40 años. Los datos fueron analizados mediante técnicas de codificación inductiva para lo cual se utilizó el programa Atlas.ti. Los resultados evidenciaron que el socialismo se percibió como una doctrina política, social y económica, pero también como un estilo de vida. Con respecto al modelo socialista, la percepción de los participantes alude al marxismo y al socialismo del siglo XXI. El capitalismo, la subjetividad individual del consumo, el control y adoctrinamiento político fueron aspectos que se interpretaron como contrarios al modelo socialista. Además, se percibió que el socialismo del siglo XXI inició en el país con el gobierno de Rafael Correa, aunque algunos participantes mencionaron que no se trata de un modelo socialista, sino de una estrategia política. Como resultado principal, se evidenció en los participantes una valoración negativa hacia el socialismo pero se excusa con situaciones circunstanciales y queda de manifiesto que todavía, pese a su ineficacia patente, se sigue creyendo en él; por ello, se recalcó la necesidad de construir un futuro socialista.
Mecanismo de desalojo y la aplicabilidad del principio de buena fe a la luz de la jurisprudencia brasileña
Authors: Lima Gisele , Marcelo Lauar Leite
Published: August 2022

La investigación tiene como objetivo presentar los fundamentos y características del desalojo, con especial énfasis en la aplicabilidad del principio de buena fe como requisito para la actuación de tal mecanismo. En un primer momento, se hizo un breve razonamiento sobre el instituto del desahucio, a través del análisis de la doctrina y la legislación, así como del principio de buena fe y su actuación en los contratos en general. Más adelante, a través de la observación de un proceso de apelación por el Tribunal de Justicia del Estado de Paraná, se consideró la actuación del principio de buena fe en el proceso de desalojo a través de los arts. 449 y 457 del Código Civil brasileño, cubriendo entonces este aspecto para el entendimiento jurisprudencial mayoritario en el Superior Tribunal de Justicia brasileño, que considera la inexistencia de evicción en los casos en que el adquirente actúa de mala fe.
Via Media ako ekleziologický model a teologická metóda Johna Henryho Newmana (1801 – 1890)
Authors:   Rímskokatolícka cirkev Farnosť Stará Halič, Čaja Andrej Mária
Published: August 2022

An attentive analysis of the concept of Via Media in the theology of John Henry Newman shows that while his ecclesiological model of the Anglican Church, conceived as a middle way between the extremes of the Roman Catholicism and the popular Protestantism, proved to be only a theory on paper, the theological method, which derived from it, was maintained by Newman throughout his whole theological career, i. e. both in his Anglican and Catholic period. His theological method of balancing and oscillating between various unilateral positions is exemplified in some of his polemical Anglican writings and in his major mariological contribution Letter to Pusey, which paves the way between maximalist and minimalist tendencies. It is suggested that since Newman’s method had a considerable impact on contemporary theology, it could serve as a fruitful means of overcoming hostile polarizations which threaten the Church and society.
Nadčasově didaktické pojetí Ježíšovy věci v díle Milana Machovce jako výzva k teologické reflexi
Authors:   Technická univerzita v Liberci, Fakulta přírodovědně-humanitní a pedagogická, Katedra filosofie, Podzimek Michal
Published: August 2022

The study analyzes the book by Milan Machovec, “Jesus for Modern Man”. It shows that the book was an intriguing. work within the Czechoslovak Marxist-Christian dialogue. “Jesus‘ cause”, which Machovec introduced to the readers of his time, can still be an appealing philosophical contribution to the topic of education for fully Christian humanity.
PENYUSUNAN STANDAR KUALITAS PRODUK PADA KOPERASI USAHA RUMAH BATIK SETU DI TANGERANG SELATAN
Authors: Rodhiah  , Aisyah Anggun , Nuraisyah Iis
Published: August 2022

Standard Operating Procedures are the backbone of a successful business, allowing us to work whenever we choose. Standard operating procedures (SOPs) are a vital component of quality management practice. The effectiveness of SOP is highly dependent on the owner and all employees' commitment to enhancing the quality of the manufactured goods. At the Setu batik house business cooperative in South Tangerang, Student Creativity Program (PKM) is conducted. Setu batik house, often known as RBS, is a collection of company cooperatives that manufacture a variety of written batik products and stamps. In addition, it produces hijabs made of Parisian fabric with contemporary batik patterns. The PKM activity method entails support coming immediately to the RBS location and doing FGD with the board and multiple members. The outcomes of the activity revealed that RBS SOPs were organized in pocketbooks and laminated posters were affixed on the walls of the operating room. The resulting SOP can serve as a guide for partners, both administrators and members, in the production of batik products that conform to defined criteria.
Situationsdynamik systemtheoretisch beobachtet
Authors: Lorenz Franz
Published: August 2022

Die (Über-)Komplexität des Hier und Jetzt einer Situation geht über Motive der personalen Akteure und deren Beziehungen hinaus und wird zusätzlich aufgeladen durch Einflüsse organisationaler Kontexte und die Sinnkonstruktionen von deren Referenzsystemen. Diese Sichtweise brachte Herbert Euschen dazu, in seinem Ansatz der Situationsdynamik den personalen Aspekt des Ich mit dem Wir einer sozialen Situation zu verbinden und diese im Kontext von Sachaspekten, die Beziehungen unmittelbar beeinflussen, zu betrachten. Diese Betrachtung wird in die Sinn-Konstruktion eines Beobachters unter dem Aspekt Intentionalität eingebettet. Die Dynamik der Situation wird in Differenz gesetzt zur Struktur des Alltags, so dass sich die Konturierung der Situation als System nur in der relevanten Umwelt Alltag denken lässt. Die jeweiligen (sozial-)phänomenologischen Ansätze Habitus, kollektive Deutungsmuster, Gesellschaft als Lebens- und Systemwelt und Diskursanalyse werden mit systemtheoretischen Überlegungen in Bezug gesetzt und so die Handlungslogiken rekonstruiert, die Situationen dynamisieren.